From 0fa5f6b7a032842d169f05d099a4597054c091bd Mon Sep 17 00:00:00 2001 From: Richmond Alake Date: Sun, 30 Nov 2025 23:38:37 +0000 Subject: [PATCH 1/3] Initial commit: Oracle AI Developer Hub MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add comprehensive AI development resources for Oracle AI Database: 📓 Notebooks: - memory_context_engineering_agents: Memory & context engineering for AI agents with 6 memory types (LangChain, Oracle AI Database, OpenAI, Tavily) - oracle_rag_agents_zero_to_hero: RAG agents from scratch (Oracle AI Database, OpenAI, OpenAI Agents SDK) - oracle_rag_with_evals: RAG with BEIR evaluation metrics (Oracle AI Database, OpenAI, BEIR, Galileo) 📱 Apps: - oci-generative-ai-jet-ui: Full-stack AI app with Oracle JET UI, OCI Generative AI, Kubernetes deployment, and Terraform infrastructure 🛠️ Setup: - Pre-commit hooks with Ruff and Prettier - Project configuration and documentation --- .gitignore | 69 +- 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100644 --- a/.gitignore +++ b/.gitignore @@ -65,8 +65,14 @@ terraform.rc # Node node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* +.npm +.eslintcache -# Java +# Java .gradle build/ !gradle/wrapper/gradle-wrapper.jar @@ -75,4 +81,63 @@ build/ .idea bin/ dist/ -application-local.yaml \ No newline at end of file +application-local.yaml + +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +env/ +venv/ +ENV/ +develop-eggs/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# IDEs +.vscode/ +*.swp +*.swo +*~ + +# Jupyter Notebook +.ipynb_checkpoints + +# Environment variables +.env +.env.local +.env.*.local + +# Pre-commit +.pre-commit-config.yaml.bak + +# Build artifacts +*.min.js +*.min.css +*.map + +# Logs +*.log +logs/ + +# Temporary files +*.tmp +*.temp +.cache/ + +# Oracle specific +*.classpath +*.project +.settings/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..8064e071 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,40 @@ +# Pre-commit hooks configuration +# See https://pre-commit.com for more information + +repos: + # Ruff - Fast Python linter and formatter + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.1.15 + hooks: + # Run the linter + - id: ruff + args: [--fix, --exit-non-zero-on-fix] + # Run the formatter + - id: ruff-format + + # Prettier - Code formatter for JavaScript, TypeScript, JSON, YAML, etc. + - repo: https://github.com/pre-commit/mirrors-prettier + rev: v4.0.0-alpha.8 + hooks: + - id: prettier + types_or: [javascript, jsx, ts, tsx, json, yaml, markdown] + exclude: | + (?x)^( + .*\.min\.js| + .*\.min\.css| + node_modules/.*| + .*\.lock + )$ + + # General file checks + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.5.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-json + - id: check-added-large-files + args: ["--maxkb=1000"] + - id: check-merge-conflict + - id: detect-private-key diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 00000000..446b6d90 --- /dev/null +++ b/.prettierignore @@ -0,0 +1,19 @@ +# Dependencies +node_modules/ +package-lock.json +yarn.lock + +# Build outputs +dist/ +build/ +*.min.js +*.min.css + +# Generated files +*.map + +# Lock files +pnpm-lock.yaml + +# Jupyter notebooks (can be formatted separately if needed) +*.ipynb diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 00000000..e53de675 --- /dev/null +++ b/.prettierrc @@ -0,0 +1,11 @@ +{ + "printWidth": 100, + "tabWidth": 2, + "useTabs": false, + "semi": true, + "singleQuote": false, + "trailingComma": "es5", + "bracketSpacing": true, + "arrowParens": "always", + "endOfLine": "auto" +} diff --git a/README.md b/README.md index d5eb2dca..e9a41833 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,115 @@ -# OCI Generative AI toolkit +# Oracle AI Developer Hub -[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_oci-generative-ai-jet-ui)](https://sonarcloud.io/dashboard?id=oracle-devrel_oci-generative-ai-jet-ui) +This repository contains technical resources to help AI Developers build AI applications, agents, and systems using Oracle AI Database and OCI services alongside other key components of the AI/Agent stack. +## What You'll Find -## Introduction +This repository is organized into several key areas: -Using Oracle JET, create a user-friendly prompt-led user interface (UI) to interact with Oracle's new Generative AI service. This toolkit will configure your Generative AI Service connection so you can begin your journey with AI, or migrate your existing (local or Cloud) LLMs to the Oracle AppDev ecosystem. -[Enhance Engagement Using Content Generation with OCI Generative AI](JET.md) +### 📱 **Apps** (`/apps`) -This project deploys an AI pipeline with a multipurpose front end for text generation and summarization. The pipeline integrates with a database to track interactions, enabling fine-tuning and performance monitoring for application optimization. It leverages OCI Generative AI APIs on a Kubernetes cluster. -[Accelerating AI Application Deployment Using Cloud Native Strategies](K8S.md) +Applications and reference implementations demonstrating how to build AI-powered solutions with Oracle technologies. These complete, working examples showcase end-to-end implementations of AI applications, agents, and systems that leverage Oracle AI Database and OCI services. Each application includes source code, deployment configurations, and documentation to help developers understand architectural patterns, integration approaches, and best practices for building production-grade AI solutions. + +| Name | Description | Link | +| ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- | +| oci-generative-ai-jet-ui | Full-stack AI application with Oracle JET UI, OCI Generative AI integration, Kubernetes deployment, and Terraform infrastructure | [![View App](https://img.shields.io/badge/View%20App-blue?style=flat-square)](./apps/oci-generative-ai-jet-ui) | + +### 📓 **Notebooks** (`/notebooks`) + +Jupyter notebooks and interactive tutorials covering: + +- AI/ML model development and experimentation +- Oracle Database AI features and capabilities +- OCI AI services integration patterns +- Data preparation and analysis workflows +- Agent development and orchestration examples + +| Name | Description | Stack | Link | +| --------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | +| memory_context_engineering_agents | Build AI agents with 6 types of persistent memory. Covers memory engineering, context window management, and just-in-time retrieval patterns. | LangChain, Oracle AI Database, OpenAI, Tavily | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/memory_context_engineering_agents.ipynb) | +| oracle_rag_agents_zero_to_hero | Learn to build RAG agents from scratch using Oracle AI Database. | Oracle AI Database, OpenAI, OpenAI Agents SDK | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/oracle_rag_agents_zero_to_hero.ipynb) | +| oracle_rag_with_evals | Build RAG systems with comprehensive evaluation metrics | Oracle AI Database, OpenAI, BEIR, Galileo | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./notebooks/oracle_rag_with_evals.ipynb) | + +### 🎓 **Workshops** (`/workshops`) + +Hands-on workshops and guided learning experiences: + +- Step-by-step tutorials for building AI applications +- End-to-end project walkthroughs +- Best practices and architectural patterns +- Integration guides for Oracle AI Database and OCI services + +| Name | Description | Link | +| ------------- | ---------------------------- | ---- | +| _Coming soon_ | Workshops will be added here | - | + +### 📚 **Guides** (`/guides`) + +Comprehensive documentation and reference materials: + +- Architecture patterns and design guides +- API documentation and integration examples +- Deployment and operations guides +- Troubleshooting and optimization tips +- Security and compliance best practices + +| Name | Description | Link | +| ------------- | ------------------------- | ---- | +| _Coming soon_ | Guides will be added here | - | + +### 🤝 **Partners** (`/partners`) + +Notebooks and apps contributed by partners in the AI ecosystem. AI Developers can use these resources to understand how to use Oracle AI Database and OCI alongside tools such as LangChain, Galileo, LlamaIndex, and other popular AI/ML frameworks and platforms. + +| Name | Description | Stack | Link | +| ------------- | ------------------------------------------------ | ----- | ---- | +| _Coming soon_ | Partner-contributed resources will be added here | - | - | + +## Getting Started + +1. **Explore Applications**: Start with the applications in `/apps` to see complete, working examples +2. **Follow Workshops**: Check `/workshops` for guided learning paths +3. **Experiment with Notebooks**: Use `/notebooks` for hands-on experimentation +4. **Reference Guides**: Consult `/guides` for detailed documentation +5. **Check Partner Resources**: Explore `/partners` for integrations with popular AI tools and frameworks ## Contributing -This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open-source community. +This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open-source community. + +### Development Setup + +Before contributing, please set up pre-commit hooks to ensure code is automatically formatted: + +1. **Install pre-commit**: + + ```bash + pip install pre-commit + ``` + +2. **Install additional dependencies** (optional, includes pre-commit and ruff): + + ```bash + pip install -r requirements-dev.txt + ``` + +3. **Install pre-commit hooks**: + + ```bash + pre-commit install + ``` + +4. **Optional: Format existing code**: + ```bash + pre-commit run --all-files + ``` + +The pre-commit hooks will automatically format your code using: + +- **Ruff** for Python files (formatting and linting) +- **Prettier** for JavaScript, TypeScript, JSON, YAML, and Markdown files + +For more detailed information, see [SETUP_PRE_COMMIT.md](./SETUP_PRE_COMMIT.md). ## License @@ -23,4 +119,8 @@ Licensed under the Universal Permissive License (UPL), Version 1.0. See [LICENSE](LICENSE) for more details. -ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. \ No newline at end of file +ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. + +--- + +**Note**: This repository is actively maintained and updated with new resources, examples, and best practices for Oracle AI development. diff --git a/SETUP_PRE_COMMIT.md b/SETUP_PRE_COMMIT.md new file mode 100644 index 00000000..8cdd91dc --- /dev/null +++ b/SETUP_PRE_COMMIT.md @@ -0,0 +1,96 @@ +# Pre-commit Setup Guide + +This repository uses pre-commit hooks to automatically format code on every commit. + +## Formatters Used + +- **Ruff**: Fast Python linter and formatter (replaces Black, isort, and flake8) +- **Prettier**: Code formatter for JavaScript, TypeScript, JSON, YAML, and Markdown + +## Initial Setup + +1. **Install dependencies** (if not already installed): + + ```bash + pip install -r requirements-dev.txt + ``` + + Or install individually: + + ```bash + pip install pre-commit ruff + ``` + +2. **Install pre-commit hooks**: + + ```bash + pre-commit install + ``` + + This will set up the git hooks to run automatically on every commit. + +3. **Optional: Run on all files** (to format existing code): + ```bash + pre-commit run --all-files + ``` + +## How It Works + +Once installed, pre-commit will automatically: + +- Format Python code with Ruff before each commit +- Format JavaScript/TypeScript/JSON/YAML/Markdown files with Prettier +- Check for trailing whitespace, end-of-file issues, and other common problems +- Prevent committing if there are formatting issues + +## Manual Usage + +You can also run the formatters manually: + +```bash +# Run all hooks on staged files +pre-commit run + +# Run all hooks on all files +pre-commit run --all-files + +# Run a specific hook +pre-commit run ruff --all-files +pre-commit run prettier --all-files +``` + +## Configuration Files + +- `.pre-commit-config.yaml`: Pre-commit hooks configuration +- `pyproject.toml`: Ruff configuration (Python formatting and linting) +- `.prettierrc`: Prettier configuration (JavaScript/TypeScript formatting) +- `.prettierignore`: Files to exclude from Prettier formatting + +## Updating Hooks + +To update pre-commit hooks to their latest versions: + +```bash +pre-commit autoupdate +``` + +## Troubleshooting + +If hooks fail, you can: + +1. **Skip hooks for a specific commit** (not recommended): + + ```bash + git commit --no-verify + ``` + +2. **Update hook versions**: + + ```bash + pre-commit autoupdate + ``` + +3. **Clear pre-commit cache**: + ```bash + pre-commit clean + ``` diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/banned_file_changes_pr.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/banned_file_changes_pr.yml new file mode 100644 index 00000000..f0070974 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/banned_file_changes_pr.yml @@ -0,0 +1,79 @@ +name: Banned file changes (PR) +on: + # pull_request: + # branches: [ "**/*" ] + pull_request_target: + +jobs: + check_for_banned_file_changes: + name: Look for unsupported (banned) file modifications on PRs + runs-on: ubuntu-latest + steps: + - name: "Get number of git commits" + uses: oracle-devrel/action-git-num-commits@v0.1-alpha6 + id: num_commits + with: + pull_url: ${{ github.event.pull_request.url }} + - name: "Checkout repo" + uses: actions/checkout@v2 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + fetch-depth: ${{ steps.num_commits.outputs.fetch_depth }} + - name: Get file changes + uses: oracle-devrel/action-git-files-changed@v0.1-alpha2 + id: files + with: + pull_url: ${{ github.event.pull_request.url }} + - name: Look for changes to .github + if: contains(steps.files.outputs.all_files_changed, '.github') + run: | + echo 'Changes to files in .github are not allowed.' + - name: Comment if .github changed + if: contains(steps.files.outputs.all_files_changed, '.github') + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **Banned Files Modified** + Changes to files in `.github` are not permitted. Please revert your changes and re-submit a new PR. Simply changing the file back to its original state and re-committing won't work (you must revert the changes made to it). + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Look for changes to license_policy.yml + if: contains(steps.files.outputs.all_files_changed, '"license_policy.yml"') + run: | + echo 'Changes to license_policy.yml are not allowed.' + - name: Comment if license_policy.yml changed + if: contains(steps.files.outputs.all_files_changed, '"license_policy.yml"') + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **Banned Files Modified** + Changes to `license_policy.yml` are not permitted. Please revert your changes and re-submit a new PR. Simply changing the file back to its original state and re-committing won't work (you must revert the changes made to it). + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Look for changes to repolinter.json + if: contains(steps.files.outputs.all_files_changed, '"repolinter.json"') + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **Banned Files Modified** + Changes to `repolinter.json` are not permitted. Please revert your changes and re-submit a new PR. Simply changing the file back to its original state and re-committing won't work (you must revert the changes made to it). + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Comment if repolinter.json changed + if: contains(steps.files.outputs.all_files_changed, '"repolinter.json"') + run: | + echo 'Changes to repolinter.json are not allowed.' + - name: Look for changes to sonar-project.properties + if: contains(steps.files.outputs.all_files_changed, '"sonar-project.properties"') + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **Banned Files Modified** + Changes to `sonar-project.properties` are not permitted. Please revert your changes and re-submit a new PR. Simply changing the file back to its original state and re-committing won't work (you must revert the changes made to it). + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Comment if sonar-project.properties changed + if: contains(steps.files.outputs.all_files_changed, '"sonar-project.properties"') + run: | + echo 'Changes to sonar-project.properties are not allowed.' + - name: Fail on banned file changes + if: contains(steps.files.outputs.all_files_changed, '.github') || contains(steps.files.outputs.all_files_changed, '"license_policy.yml"') || contains(steps.files.outputs.all_files_changed, '"repolinter.json"') || contains(steps.files.outputs.all_files_changed, '"sonar-project.properties"') + run: | + exit 1 diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/cla.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/cla.yml new file mode 100644 index 00000000..5dbebf8c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/cla.yml @@ -0,0 +1,39 @@ +name: "CLA Assistant" +on: + issue_comment: + types: [created] + pull_request_target: + types: [opened, closed, synchronize] + +jobs: + CLAssistant: + runs-on: ubuntu-latest + steps: + - name: "CLA Assistant" + if: (github.event.comment.body == 'recheck' || github.event.comment.body == 'I have read the CLA Document and I hereby sign the CLA') || github.event_name == 'pull_request_target' + # Beta Release + uses: cla-assistant/github-action@v2.1.2-beta + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # the below token should have repo scope and must be manually added by you in the repository's secret + PERSONAL_ACCESS_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }} + with: + # for per-repo CLA-acceptance: + # path-to-signatures: 'signatures/oca-20210504/${{ github.repository }}' + # for per-GHO CLA-acceptance: + path-to-signatures: "signatures/oca-20210504/oracledevrel" + path-to-document: "https://github.com/oracledevrel/devrel-oca-mgmt/blob/main/oca-20210504.md" # e.g. a CLA or a DCO document + # branch should not be protected + branch: "main" + allowlist: bot* + + #below are the optional inputs - If the optional inputs are not given, then default values will be taken + remote-organization-name: "oracledevrel" # enter the remote organization name where the signatures should be stored (Default is storing the signatures in the same repository) + remote-repository-name: "devrel-oca-mgmt" # enter the remote repository name where the signatures should be stored (Default is storing the signatures in the same repository) + #create-file-commit-message: 'For example: Creating file for storing CLA Signatures' + #signed-commit-message: 'For example: $contributorName has signed the CLA in #$pullRequestNo' + #custom-notsigned-prcomment: 'pull request comment with Introductory message to ask new contributors to sign' + #custom-pr-sign-comment: 'The signature to be committed in order to sign the CLA' + #custom-allsigned-prcomment: 'pull request comment when all contributors has signed, defaults to **CLA Assistant Lite bot** All Contributors have signed the CLA.' + #lock-pullrequest-aftermerge: false - if you don't want this bot to automatically lock the pull request after merging (default - true) + #use-dco-flag: true - If you are using DCO instead of CLA diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/license_audit.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/license_audit.yml new file mode 100644 index 00000000..368dac60 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/license_audit.yml @@ -0,0 +1,42 @@ +name: Audit licenses +on: + pull_request_target: + +jobs: + run_scancode_toolkit: + name: Get inventory of licenses used in project + runs-on: ubuntu-latest + container: + image: ghcr.io/oracledevrel/scancode-toolkit:v21.3.31 + credentials: + username: ${{ github.actor }} + password: ${{ secrets.GHCR_PAT }} + steps: + - name: "Checkout repo" + uses: actions/checkout@v2 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + - name: Run Scancode-toolkit + run: | + scancode -l --ignore licenses.json --ignore .github/**/* --ignore license_policy.yml --license-policy license_policy.yml --only-findings --summary --json-pp licenses.json * + echo "\n\nHere is the licenses.json:\n" + echo $(cat licenses.json) + - name: Look for non-approved licenses + uses: oracle-devrel/action-license-audit@1.0.2 + id: analysis + with: + licenses_file: "/github/workspace/licenses.json" + - name: Analysis results + run: echo "${{ steps.analysis.outputs.unapproved_licenses }}" + - name: Comment if analysis finds unapproved licenses + if: steps.analysis.outputs.unapproved_licenses == 'true' + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **License Inspection** + Requires manual inspection. There are some licenses which dictate further analysis and review. + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Halt pipeline on unapproved licenses + if: steps.analysis.outputs.unapproved_licenses == 'true' + run: exit 1 diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/release-zip-file.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/release-zip-file.yml new file mode 100644 index 00000000..bc1b2179 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/release-zip-file.yml @@ -0,0 +1,17 @@ +name: Release ZIP file packaging + +on: + release: + types: [published] + +jobs: + create_zip: + runs-on: ubuntu-latest + steps: + - name: "Checkout repo" + uses: actions/checkout@v2 + - name: "Make (and upload) ZIP file(s)" + uses: oracle-devrel/action-release-zip-maker@v0.5 + id: zip_maker + with: + github_token: ${{ secrets.GITHUB_TOKEN }} diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/repolinter.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/repolinter.yml new file mode 100644 index 00000000..fcfbe3d4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/repolinter.yml @@ -0,0 +1,89 @@ +name: Repolinter +on: + pull_request_target: +jobs: + run_repolinter: + name: Run Repolinter on pull request + runs-on: ubuntu-latest + container: + image: ghcr.io/oracledevrel/repolinter:v0.11.1 + credentials: + username: ${{ github.actor }} + password: ${{ secrets.GHCR_PAT }} + steps: + - name: "Checkout repo" + uses: actions/checkout@v2 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + - name: Run Repolinter + run: | + set +e + bundle exec /app/bin/repolinter.js lint --format json --rulesetFile repolinter.json . > repolinter_results.json + echo "\n\nHere is the repolinter_results.json:\n" + echo $(cat repolinter_results.json) + exit 0 + - name: Analyze the Repolinter results + uses: oracle-devrel/action-repolinter-audit@v0.1-alpha2 + id: analysis + with: + json_results_file: "/github/workspace/repolinter_results.json" + - name: Overall analysis results + run: | + echo "Passed: ${{ steps.analysis.outputs.passed }}" + echo "Errored: ${{ steps.analysis.outputs.errored }}" + - name: Comment if analysis finds missing disclaimer + if: steps.analysis.outputs.disclaimer_found == 'false' + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **FAILURE: Missing Disclaimer** + The standard Oracle Disclaimer seems to be missing from the readme. Please add it: + + ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. + + Details: + ${{ steps.analysis.outputs.disclaimer_details }} + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Comment if analysis finds missing readme + if: steps.analysis.outputs.readme_file_found == 'false' + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **FAILURE: Missing README** + The README file seems to be missing. Please add it. + + Details: + ${{ steps.analysis.outputs.readme_file_details }} + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Comment if analysis finds missing license + if: steps.analysis.outputs.license_file_found == 'false' + uses: mshick/add-pr-comment@v1 + with: + message: | + :no_entry: **FAILURE: Missing LICENSE** + The LICENSE file seems to be missing. Please add it. + + Details: + ${{ steps.analysis.outputs.license_file_details }} + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Comment if analysis finds copyright notice missing + if: steps.analysis.outputs.copyright_found == 'false' + uses: mshick/add-pr-comment@v1 + with: + message: | + :warning: **WARNING: Missing Copyright Notice(s)** + It's a good idea to have copyright notices at the top of each file. It looks like at least one file was missing this (though it might be further down in the file - this might be a false-positive). + + Details: + ${{ steps.analysis.outputs.copyright_details }} + repo-token: ${{ secrets.GITHUB_TOKEN }} + - name: Halt pipeline if README is missing + if: steps.analysis.outputs.readme_file_found == 'false' + run: exit 1 + - name: Halt pipeline if LICENSE is missing + if: steps.analysis.outputs.license_file_found == 'false' + run: exit 1 + - name: Halt pipeline if disclaimer is missing + if: steps.analysis.outputs.disclaimer_found == 'false' + run: exit 1 diff --git a/apps/oci-generative-ai-jet-ui/.github/workflows/sonarcloud.yml b/apps/oci-generative-ai-jet-ui/.github/workflows/sonarcloud.yml new file mode 100644 index 00000000..a09a3e58 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.github/workflows/sonarcloud.yml @@ -0,0 +1,19 @@ +name: SonarCloud Scan +on: + pull_request_target: +jobs: + sonarcloud: + name: SonarCloud + runs-on: ubuntu-latest + steps: + - name: Checkout repo + uses: actions/checkout@v2 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + fetch-depth: 0 # Shallow clones should be disabled for a better relevancy of analysis + - name: SonarCloud Scan + uses: SonarSource/sonarcloud-github-action@master + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Needed to get PR information, if any + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} diff --git a/apps/oci-generative-ai-jet-ui/.gitignore b/apps/oci-generative-ai-jet-ui/.gitignore new file mode 100644 index 00000000..54883254 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/.gitignore @@ -0,0 +1,78 @@ +# General +.DS_Store +.AppleDouble +.LSOverride + +# Icon must end with two \r +Icon + +# Thumbnails +._* + +# Files that might appear in the root of a volume +.DocumentRevisions-V100 +.fseventsd +.Spotlight-V100 +.TemporaryItems +.Trashes +.VolumeIcon.icns +.com.apple.timemachine.donotpresent + +# Directories potentially created on remote AFP share +.AppleDB +.AppleDesktop +Network Trash Folder +Temporary Items +.apdisk + +# ignore common security keys +.key +.crt +.csr +.pem + +#temp directory ignore +# deploy/ +service/python/Dockerfile + +.certs +.artifacts +deploy/k8s/backend/application.yaml +deploy/k8s/overlays/prod/kustomization.yaml +deploy/k8s/backend/wallet/ + +generated/ + +.env.json +*.bkp +*.zip +kubeconfig + +# Terraform +**/.terraform/* +*.tfstate +*.tfstate.* +crash.log +crash.*.log +*.tfvars +*.tfvars.json +override.tf +override.tf.json +*_override.tf +*_override.tf.json +.terraformrc +terraform.rc + +# Node +node_modules/ + +# Java +.gradle +build/ +!gradle/wrapper/gradle-wrapper.jar +!**/src/main/**/build/ +!**/src/test/**/build/ +.idea +bin/ +dist/ +application-local.yaml diff --git a/apps/oci-generative-ai-jet-ui/CONTRIBUTING.md b/apps/oci-generative-ai-jet-ui/CONTRIBUTING.md new file mode 100644 index 00000000..8bf5d6fd --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/CONTRIBUTING.md @@ -0,0 +1,55 @@ +# Contributing to this repository + +We welcome your contributions! There are multiple ways to contribute. + +## Opening issues + +For bugs or enhancement requests, please file a GitHub issue unless it's +security related. When filing a bug remember that the better written the bug is, +the more likely it is to be fixed. If you think you've found a security +vulnerability, do not raise a GitHub issue and follow the instructions in our +[security policy](./SECURITY.md). + +## Contributing code + +We welcome your code contributions. Before submitting code via a pull request, +you will need to have signed the [Oracle Contributor Agreement][OCA] (OCA) and +your commits need to include the following line using the name and e-mail +address you used to sign the OCA: + +```text +Signed-off-by: Your Name +``` + +This can be automatically added to pull requests by committing with `--sign-off` +or `-s`, e.g. + +```text +git commit --signoff +``` + +Only pull requests from committers that can be verified as having signed the OCA +can be accepted. + +## Pull request process + +1. Ensure there is an issue created to track and discuss the fix or enhancement + you intend to submit. +1. Fork this repository. +1. Create a branch in your fork to implement the changes. We recommend using + the issue number as part of your branch name, e.g. `1234-fixes`. +1. Ensure that any documentation is updated with the changes that are required + by your change. +1. Ensure that any samples are updated if the base image has been changed. +1. Submit the pull request. _Do not leave the pull request blank_. Explain exactly + what your changes are meant to do and provide simple steps on how to validate. + your changes. Ensure that you reference the issue you created as well. +1. We will assign the pull request to 2-3 people for review before it is merged. + +## Code of conduct + +Follow the [Golden Rule](https://en.wikipedia.org/wiki/Golden_Rule). If you'd +like more specific guidelines, see the [Contributor Covenant Code of Conduct][COC]. + +[OCA]: https://oca.opensource.oracle.com +[COC]: https://www.contributor-covenant.org/version/1/4/code-of-conduct/ diff --git a/apps/oci-generative-ai-jet-ui/FAQ.md b/apps/oci-generative-ai-jet-ui/FAQ.md new file mode 100644 index 00000000..a7ff3eeb --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/FAQ.md @@ -0,0 +1,15 @@ +# FAQ + +## Technical help + +### Get the Load Balancer Public IP address + +```bash +kubectl get service -n ingress-nginx -o jsonpath='{.items[?(@.spec.type=="LoadBalancer")].status.loadBalancer.ingress[0].ip}' +``` + +### Get the `dockerconfigjson` from the secret + +```bash +kubectl get secret ocir-secret --output="jsonpath={.data.\.dockerconfigjson}" | base64 --decode | jq +``` diff --git a/apps/oci-generative-ai-jet-ui/JET.md b/apps/oci-generative-ai-jet-ui/JET.md new file mode 100644 index 00000000..eccc0239 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/JET.md @@ -0,0 +1,213 @@ +# Enhance Engagement Using Content Generation with OCI Generative AI + +[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_oci-generative-ai-jet-ui)](https://sonarcloud.io/dashboard?id=oracle-devrel_oci-generative-ai-jet-ui) + +## Introduction + +Using Oracle JET, create a user-friendly prompt-led user interface (UI) to interact with Oracle's new Generative AI service. This toolkit will configure your Generative AI Service connection so you can begin your journey with AI, or migrate your existing (local or Cloud) LLMs to the Oracle AppDev ecosystem. + +Oracle JET(Preact) allows you to craft pixel-perfect UIs which are fast, lightweight, and engaging. Your code takes centre stage with Oracle JET, while its powerful features enable you to create dynamic user experiences quickly and reliably. + +Oracle's Generative AI service allows developers to unlock a better user experience for chat systems, question-and-answer solutions, and much more. This project provides a front end to that service so you can experiment and get a sense of the immense power of Oracle Generative AI. This is an excellent starting point on your AI journey, and experienced developers will be able to quickly port their LLMs to leverage this powerful service. + +Check out [demo here](https://youtu.be/hpRoQ93YeaQ) + +![alt text here](images/demo.gif) + +## Getting Started + +### 0. Prerequisites and setup + +- Oracle Cloud Infrastructure (OCI) Account +- Oracle Cloud Infrastructure (OCI) Generative AI Service - [Getting Started with Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/getting-started.htm) +- Oracle Cloud Infrastructure Documentation - [Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm) +- Oracle Cloud Infrastructure (OCI) Generative AI Service SDK - [Oracle Cloud Infrastructure Python SDK](https://pypi.org/project/oci/) +- Node v16 - [Node homepage](https://nodejs.org/en) +- Oracle JET v15 - [Oracle JET Homepage](https://www.oracle.com/webfolder/technetwork/jet/index.html) + +Follow the links below to generate a config file and a key pair in your ~/.oci directory + +- [SDK config](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm) +- [API signing key](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/apisigningkey.htm) +- [CLI install](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/cliinstall.htm#configfile) + +After completion, you should have the following 2 things in your `~/.oci directory` + +- A config file(where key file point to private key:key_file=`~/.oci/oci_api_key.pem`) +- A key pair named `oci_api_key.pem` and `oci_api_key_public.pem` +- Now make sure you change the reference of the key file in the config file +- Append OCI Generative-AI service compartment and endpoint URL + +```console +vim service/python/server.py +``` + +```Python +#TODO: Update this section with your tenancy details +compartment_id = "ocid1.compartment.oc1.." +CONFIG_PROFILE = "DEFAULT" +config = oci.config.from_file("~/.oci/config", CONFIG_PROFILE) +endpoint = "https://inference.generativeai..oci.oraclecloud.com" +generative_ai_inference_client = ( + oci.generative_ai_inference.GenerativeAiInferenceClient( + config=config, + service_endpoint=endpoint, + retry_strategy=oci.retry.NoneRetryStrategy(), + timeout=(10, 240), + ) +) +``` + +### 1. (Optional) Modify websocket ports + +- In the root of the project directory run to edit ports + +```console +vim app/src/components/content/index.tsx +``` + +```js +const gateway = ws://${window.location.hostname}:1234; +``` + +- Update default port in Python websocket server: + +```console +vim service/python/server.py +``` + +```Python +async def start_server(): + await websockets.serve(handle_websocket, "localhost", 1234 ) +``` + +### 2. Upload Public Key + +- Upload your oci_api_key_public.pem to console: + [API signing key](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/apisigningkey.htm#three) + +### 3. Install all dependencies + +We suggest you install dependencies in a virtual environment to avoid conflicts on your system. + +- Navigate to the server root folder + +```console +cd service/python +``` + +- Create a virtual environment: + +```console +python3 -m venv venv +``` + +- Activate your virtual environment: + +```console +. venv/bin/activate +``` + +- Upgrade pip: + +```console +pip3 install --upgrade pip +``` + +- Install requirements: + +```console +pip3 install -r requirements.txt +``` + +## 4. Start the websocket server app + +Once dependencies are installed and your service credentials are updated you can run server.py + +```console +python3 server.py +``` + +## 5. Start JET Client + +- Open app directory: + +```console +cd ../../app +``` + +- Install dependencies: + +```console +npm install +``` + +- Run local version: + +```console +npx ojet serve +``` + +- Or package for web deployment + +```console +npx ojet build web +``` + +You can now ask question to generate LLM based response. +![alt text here](images/QandA.png) + +Note that sample app can generate markdown. +![alt text here](images/Markdown.png) + +## Appendix: Token-based Authentication + +Check [Token-based Authentication for the CLI](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/clitoken.htm#Running_Scripts_on_a_Computer_without_a_Browser) + +```Python +config = oci.config.from_file('~/.oci/config', profile_name="DEFAULT") + +def make_security_token_signer(oci_config): + pk = oci.signer.load_private_key_from_file(oci_config.get("key_file"), None) + with open(oci_config.get("security_token_file")) as f: + st_string = f.read() + return oci.auth.signers.SecurityTokenSigner(st_string, pk) + +signer = make_security_token_signer(oci_config=config) +# Service endpoint +endpoint = "https://generativeai.aiservice..oci.oraclecloud.com" + +generative_ai_client = oci.generative_ai.generative_ai_client.GenerativeAiClient(config=config, service_endpoint=endpoint, retry_strategy=oci.retry.NoneRetryStrategy(), signer=signer) +``` + +## Notes/Issues + +Additional Use Cases like summarization and embedding coming soon. + +To change output parameters edit server.py + +```Python + cohere_generate_text_request.max_tokens = 500 # choose the number of tokens 1-4000 + cohere_generate_text_request.temperature = 0.75 # adjust temperature 0-1 + cohere_generate_text_request.top_p = 0.7 # adjust top_p 0-1 + cohere_generate_text_request.frequency_penalty = 1.0 # adjust frequency_penalty +``` + +## URLs + +- [Oracle AI](https://www.oracle.com/artificial-intelligence/) +- [AI for Developers](https://developer.oracle.com/technologies/ai.html) + +## Contributing + +This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open-source community. + +## License + +Copyright (c) 2024 Oracle and/or its affiliates. + +Licensed under the Universal Permissive License (UPL), Version 1.0. + +See [LICENSE](LICENSE) for more details. + +ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. diff --git a/apps/oci-generative-ai-jet-ui/K8S.md b/apps/oci-generative-ai-jet-ui/K8S.md new file mode 100644 index 00000000..910fb93e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/K8S.md @@ -0,0 +1,196 @@ +# Accelerating AI Application Deployment Using Cloud Native Strategies + +## Introduction + +Kubernetes has become the standard for managing containerized applications, and Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) is a managed Kubernetes service that delivers outstanding cloud reliability. Now, imagine using OKE with AI to create powerful, scalable, highly available AI applications. + +This project deploys an AI pipeline with a multipurpose front end for text generation and summarization. The pipeline integrates with a database to track interactions, enabling fine-tuning and performance monitoring for application optimization. It leverages OCI Generative AI APIs on a Kubernetes cluster. + +## Getting Started + +### 0. Prerequisites and setup + +- Oracle Cloud Infrastructure (OCI) Account - [sign-up page](https://www-sites.oracle.com/artificial-intelligence/solutions/deploy-ai-apps-fast/#:~:text=Oracle%20Cloud%20account%E2%80%94-,sign%2Dup%20page,-Oracle%20Cloud%20Infrastructure) +- Oracle Cloud Infrastructure (OCI) Generative AI Service - [Getting Started with Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/getting-started.htm) +- Oracle Cloud Infrastructure Documentation - [Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm) +- Oracle Cloud Infrastructure (OCI) Generative AI Service SDK - [Oracle Cloud Infrastructure Python SDK](https://pypi.org/project/oci/) +- Node v16 - [Node homepage](https://nodejs.org/en) +- Oracle JET v15 - [Oracle JET Homepage](https://www.oracle.com/webfolder/technetwork/jet/index.html) +- OCI Container Engine for Kubernetes — [documentation](https://docs.oracle.com/en-us/iaas/Content/ContEng/Concepts/contengoverview.htm) +- Oracle Autonomous Database — [documentation](https://docs.oracle.com/en/database/autonomous-database-cloud-services.html) +- Spring Boot framework — [documentation](https://docs.spring.io/spring-boot/docs/3.2.5/reference/htmlsingle/) + +![Architecture](./images/architecture.png) + +Get troubleshoot help on the [FAQ](FAQ.md) + +## Requirements + +You need to be an administrator. + +> If not should have enough privileges for OKE, Network, and Database services. Plus others like tenancy inspect. See example: +> +> ``` +> Allow group 'Default'/'GroupName' to inspect tenancies in tenancy +> ``` + +## Set Up environment + +On Cloud Shell, clone the repository: + +```bash +git clone https://github.com/oracle-devrel/oci-generative-ai-jet-ui.git +``` + +Change to the new folder: + +```bash +cd oci-generative-ai-jet-ui +``` + +Install Node.js 16 on Cloud Shell. + +```bash +nvm install 18 && nvm use 18 +``` + +Install dependencies for scripts. + +```bash +cd scripts/ && npm install && cd .. +``` + +### Set the environment variables + +Generate `genai.json` file with all environment variables. + +```bash +npx zx scripts/setenv.mjs +``` + +> Answer the Compartment name where you want to deploy the infrastructure. Root compartment is the default. + +### Deploy Infrastructure + +Generate `terraform.tfvars` file for Terraform. + +```bash +npx zx scripts/tfvars.mjs +``` + +```bash +cd deploy/terraform +``` + +Init Terraform providers: + +```bash +terraform init +``` + +Apply deployment: + +```bash +terraform apply --auto-approve +``` + +```bash +cd ../.. +``` + +## Release and create Kustomization files + +Build and push images: + +```bash +npx zx scripts/release.mjs +``` + +Create Kustomization files + +```bash +npx zx scripts/kustom.mjs +``` + +### Kubernetes Deployment + +```bash +export KUBECONFIG="$(pwd)/deploy/terraform/generated/kubeconfig" +``` + +```bash +kubectl cluster-info +``` + +```bash +kubectl apply -k deploy/k8s/overlays/prod +``` + +Run `get deploy` a few times: + +```bash +kubectl get deploy -n backend +``` + +Wait for all deployments to be `Ready` and `Available`. + +``` +NAME READY UP-TO-DATE AVAILABLE AGE +backend 1/1 1 1 3m28s +ingress-nginx-controller 1/1 1 1 3m17s +web 1/1 1 1 3m21s +``` + +Access your application: + +```bash +echo $(kubectl get service \ + -n backend \ + -o jsonpath='{.items[?(@.spec.type=="LoadBalancer")].status.loadBalancer.ingress[0].ip}') +``` + +> This command will list the Load Balancer services on the `backend` namespace. If the response is an empty string, wait a bit and execute the command again. The Load Balancer takes a bit of time to create the Public IP address. + +Paste the Public IP address on your browser and test your new Generative AI website deployed in Kubernetes. + +Remember to visit SQL Developer Web on the OCI Console for your Oracle Database and run some queries to investigate the historical of prompts. + +```sql +SELECT * FROM interactions; +``` + +```bash +cd ../.. +``` + +## Clean up + +Delete Kubernetes components + +```bash +kubectl delete -k deploy/k8s/overlays/prod +``` + +Destroy infrastructure with Terraform. + +```bash +cd deploy/terraform +``` + +```bash +terraform destroy -auto-approve +``` + +```bash +cd ../.. +``` + +Clean up the artifacts on Object Storage + +```bash +npx zx scripts/clean.mjs +``` + +## Local deployment + +Run locally with these steps [Local](LOCAL.md) diff --git a/apps/oci-generative-ai-jet-ui/LICENSE b/apps/oci-generative-ai-jet-ui/LICENSE new file mode 100644 index 00000000..62c949c4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/LICENSE @@ -0,0 +1,35 @@ +Copyright (c) 2024 Oracle and/or its affiliates. + +The Universal Permissive License (UPL), Version 1.0 + +Subject to the condition set forth below, permission is hereby granted to any +person obtaining a copy of this software, associated documentation and/or data +(collectively the "Software"), free of charge and under any and all copyright +rights in the Software, and any and all patent rights owned or freely +licensable by each licensor hereunder covering either (i) the unmodified +Software as contributed to or provided by such licensor, or (ii) the Larger +Works (as defined below), to deal in both + +(a) the Software, and +(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if +one is included with the Software (each a "Larger Work" to which the Software +is contributed by such licensors), + +without restriction, including without limitation the rights to copy, create +derivative works of, display, perform, and distribute the Software and make, +use, sell, offer for sale, import, export, have made, and have sold the +Software and the Larger Work(s), and to sublicense the foregoing rights on +either these or other terms. + +This license is subject to the following condition: +The above copyright notice and either this complete permission notice or at +a minimum a reference to the UPL must be included in all copies or +substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/apps/oci-generative-ai-jet-ui/LOCAL.md b/apps/oci-generative-ai-jet-ui/LOCAL.md new file mode 100644 index 00000000..d97c2359 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/LOCAL.md @@ -0,0 +1,101 @@ +# Run Local + +## Run components + +### Run web + +Run locally in a terminal with: + +```bash +cd web +``` + +```bash +npm run dev +``` + +### Run Backend + +Run locally on another terminal with: + +```bash +cd backend +``` + +Copy `/backend/src/main/resources/application.yaml` to `/backend/src/main/resources/application-local.yaml` and modify the values required. + +It should look like this: + +```yaml +spring: + main: + banner-mode: "off" + profiles: + active: production + datasource: + driver-class-name: oracle.jdbc.OracleDriver + url: jdbc:oracle:thin:@ADB_SERVICE_NAME_GOES_HERE_high?TNS_ADMIN=/PATH/TO/WALLET/UNZIPPED/IN/TERRAFORM/GENERATED + username: ADMIN + password: "ADB_PASSWORD_GOES_HERE" + type: oracle.ucp.jdbc.PoolDataSource + oracleucp: + sql-for-validate-connection: SELECT * FROM dual + connection-pool-name: connectionPoolName1 + initial-pool-size: 5 + min-pool-size: 5 + max-pool-size: 10 + jpa: + hibernate: + use-new-id-generator-mappings: false + ddl-auto: update +oracle: + jdbc: + fanEnabled: true + +genai: + endpoint: "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" + region: "us-chicago-1" + compartment_id: "GENAI_COMPARTMENT_OCID_GOES_HERE" + chat_model_id: "GEN_AI_CHAT_MODEL_OCID_GOES_HERE" + summarization_model_id: "GEN_AI_SUMMARIZATION_MODEL_OCID_GOES_HERE" +``` + +Run the Spring Boot backend application in local profile: + +```bash +./gradlew bootRun -Plocal +``` + +## Other tasks + +### Build Java Application: + +```bash +cd backend +``` + +```bash +./gradlew bootJar +``` + +> `build/libs/backend-0.0.1.jar` jar file generated + +```bash +cd .. +``` + +### Build Web Application: + +```bash +cd web +``` + +```bash +npm run build +``` + +> `dist` folder generated + +```bash +cd .. +``` diff --git a/apps/oci-generative-ai-jet-ui/README.md b/apps/oci-generative-ai-jet-ui/README.md new file mode 100644 index 00000000..ca4d22c9 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/README.md @@ -0,0 +1,25 @@ +# OCI Generative AI toolkit + +[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_oci-generative-ai-jet-ui)](https://sonarcloud.io/dashboard?id=oracle-devrel_oci-generative-ai-jet-ui) + +## Introduction + +Using Oracle JET, create a user-friendly prompt-led user interface (UI) to interact with Oracle's new Generative AI service. This toolkit will configure your Generative AI Service connection so you can begin your journey with AI, or migrate your existing (local or Cloud) LLMs to the Oracle AppDev ecosystem. +[Enhance Engagement Using Content Generation with OCI Generative AI](JET.md) + +This project deploys an AI pipeline with a multipurpose front end for text generation and summarization. The pipeline integrates with a database to track interactions, enabling fine-tuning and performance monitoring for application optimization. It leverages OCI Generative AI APIs on a Kubernetes cluster. +[Accelerating AI Application Deployment Using Cloud Native Strategies](K8S.md) + +## Contributing + +This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open-source community. + +## License + +Copyright (c) 2024 Oracle and/or its affiliates. + +Licensed under the Universal Permissive License (UPL), Version 1.0. + +See [LICENSE](LICENSE) for more details. + +ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. diff --git a/apps/oci-generative-ai-jet-ui/SECURITY.md b/apps/oci-generative-ai-jet-ui/SECURITY.md new file mode 100644 index 00000000..2ca81027 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/SECURITY.md @@ -0,0 +1,38 @@ +# Reporting security vulnerabilities + +Oracle values the independent security research community and believes that +responsible disclosure of security vulnerabilities helps us ensure the security +and privacy of all our users. + +Please do NOT raise a GitHub Issue to report a security vulnerability. If you +believe you have found a security vulnerability, please submit a report to +[secalert_us@oracle.com][1] preferably with a proof of concept. Please review +some additional information on [how to report security vulnerabilities to Oracle][2]. +We encourage people who contact Oracle Security to use email encryption using +[our encryption key][3]. + +We ask that you do not use other channels or contact the project maintainers +directly. + +Non-vulnerability related security issues including ideas for new or improved +security features are welcome on GitHub Issues. + +## Security updates, alerts and bulletins + +Security updates will be released on a regular cadence. Many of our projects +will typically release security fixes in conjunction with the +Oracle Critical Patch Update program. Additional +information, including past advisories, is available on our [security alerts][4] +page. + +## Security-related information + +We will provide security related information such as a threat model, considerations +for secure use, or any known security issues in our documentation. Please note +that labs and sample code are intended to demonstrate a concept and may not be +sufficiently hardened for production use. + +[1]: mailto:secalert_us@oracle.com +[2]: https://www.oracle.com/corporate/security-practices/assurance/vulnerability/reporting.html +[3]: https://www.oracle.com/security-alerts/encryptionkey.html +[4]: https://www.oracle.com/security-alerts/ diff --git a/apps/oci-generative-ai-jet-ui/app/.gitignore b/apps/oci-generative-ai-jet-ui/app/.gitignore new file mode 100644 index 00000000..d7bceece --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/.gitignore @@ -0,0 +1,22 @@ +/jet_components +/exchange_components +/node_modules +/bower_components +/dist +/web +/staged-themes +/themes +/jaftmp@ + +/hybrid/node_modules +/hybrid/platforms +/hybrid/www/* + +!hybrid/plugins +hybrid/plugins/* +!hybrid/plugins/fetch.json + +package-lock.json + +.DS_Store +Thumbs.db diff --git a/apps/oci-generative-ai-jet-ui/app/Dockerfile b/apps/oci-generative-ai-jet-ui/app/Dockerfile new file mode 100644 index 00000000..15809284 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/Dockerfile @@ -0,0 +1,22 @@ +FROM --platform=linux/amd64 node:18-slim AS builder + +WORKDIR /usr/src/app +RUN mkdir -p ./src +RUN mkdir -p ./scripts + +COPY src/ ./src/ +COPY scripts/ ./scripts/ +COPY *.json ./ + + +RUN npm install -g @oracle/ojet-cli@16.1.0 +RUN npm install +RUN ojet build web --release + +FROM --platform=linux/amd64 nginx:1.23-alpine-slim +RUN rm -rf /usr/share/nginx/html/* +COPY --from=builder /usr/src/app/web/ /usr/share/nginx/html/ + +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/apps/oci-generative-ai-jet-ui/app/oraclejafconfig.json b/apps/oci-generative-ai-jet-ui/app/oraclejafconfig.json new file mode 100644 index 00000000..7150ef2a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/oraclejafconfig.json @@ -0,0 +1,41 @@ +{ + "title": [ + "+---------------------------------------------------------------------+", + "| OJET Application Audit |", + "+---------------------------------------------------------------------+", + "JAF $jafver - Jet $jetver : ($jafdate, $jaftime)\n" + ], + "base": "$jafcwd", + "files": [ + "./src/**/*.html", + "./src/**/*.js", + "./src/**/*.ts", + "./src/**/component.json", + "./src/styles/**/*.css" + ], + "exclude": [ + "./src/**/*-min.js", + "./src/**/*-min.css", + "./src/styles/*", + "./**/node_modules/**/*.*" + ], + "components": ["./jet_components/**/component.json"], + "builtinJetRules": true, + "jetVer": "15.1", + "ecmaVer": 14, + "format": "prose", + "severity": "all", + "groups": ["all"], + "theme": "Redwood", + "typescript": { + "tsconfig": "." + }, + "options": { + "verbose": false, + "color": true + }, + "ojet": { + "update": true, + "md5": "157a41b6c41e0ea3a2cf1220cb184de3" + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/oraclejetconfig.json b/apps/oci-generative-ai-jet-ui/app/oraclejetconfig.json new file mode 100644 index 00000000..b8f61cf1 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/oraclejetconfig.json @@ -0,0 +1,28 @@ +{ + "paths": { + "source": { + "common": "src", + "web": "src-web", + "javascript": ".", + "typescript": ".", + "styles": "styles", + "themes": "themes", + "components": "components", + "exchangeComponents": "exchange_components" + }, + "staging": { + "web": "web", + "themes": "staged-themes" + } + }, + "defaultBrowser": "chrome", + "sassVer": "8.0.0", + "defaultTheme": "redwood", + "typescriptLibraries": "typescript@5.3.2 yargs-parser@~13.1.2", + "webpackLibraries": "webpack@5.75.0 @types/node@18.16.3 webpack-dev-server style-loader css-loader sass-loader sass ts-loader@8.4.0 raw-loader noop-loader html-webpack-plugin html-replace-webpack-plugin copy-webpack-plugin @prefresh/webpack @prefresh/babel-plugin webpack-merge compression-webpack-plugin mini-css-extract-plugin clean-webpack-plugin css-fix-url-loader", + "mochaTestingLibraries": "karma mocha sinon chai@^4 coverage karma-chai@0.1.0 karma-coverage@2.2.0 karma-chrome-launcher@3.1.1 karma-mocha@2.0.1 karma-mocha-reporter@2.2.5 karma-requirejs@1.1.0 karma-fixture@0.2.6 karma-sinon@1.0.5 karma-typescript@5.5.4 @types/chai@4.3.4 @types/karma-fixture@0.2.5 @types/mocha@10.0.1 @types/sinon@10.0.13", + "jestTestingLibraries": "jest@^29 @testing-library/preact@2.0.1 @types/jest@29.0 jest-environment-jsdom@27.5.1 @oracle/oraclejet-jest-preset@~16.0.0", + "architecture": "vdom", + "watchInterval": 1000, + "exchange-url": "https://exchange.oraclecorp.com/api/0.2.0/" +} diff --git a/apps/oci-generative-ai-jet-ui/app/package.json b/apps/oci-generative-ai-jet-ui/app/package.json new file mode 100644 index 00000000..53c11b5a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/package.json @@ -0,0 +1,29 @@ +{ + "name": "JETGenAI", + "version": "1.0.0", + "description": "Sample Client app showing communication with OCI Generative AI services via Websocket", + "dependencies": { + "@oracle/oraclejet": "~16.1.0", + "@oracle/oraclejet-core-pack": "~16.1.0", + "@stomp/stompjs": "^7.0.0", + "marked": "^4.3.0", + "uuid": "^9.0.1" + }, + "devDependencies": { + "@oracle/ojet-cli": "~16.1.0", + "@oracle/oraclejet-audit": "^16.1.0", + "@types/uuid": "^9.0.7", + "express-http-proxy": "^2.0.0", + "extract-zip": "^1.7.0", + "fs-extra": "^8.1.0", + "glob": "7.2.0", + "typescript": "5.3.2", + "underscore": "^1.10.2", + "url": "^0.11.3", + "yargs-parser": "13.1.2" + }, + "engines": { + "node": ">=16.0.0" + }, + "private": true +} diff --git a/apps/oci-generative-ai-jet-ui/app/path_mapping.json b/apps/oci-generative-ai-jet-ui/app/path_mapping.json new file mode 100644 index 00000000..609e43a6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/path_mapping.json @@ -0,0 +1,396 @@ +{ + "use": "local", + "cdns": { + "jet": { + "prefix": "https://static.oracle.com/cdn/jet/16.0.0/default/js", + "css": "https://static.oracle.com/cdn/jet/16.0.0/default/css", + "csspreact": "https://static.oracle.com/cdn/jet/16.0.0/3rdparty/oraclejet-preact/amd", + "config": "bundles-config.js" + }, + "3rdparty": "https://static.oracle.com/cdn/jet/16.0.0/3rdparty" + }, + "libs": { + "knockout": { + "cdn": "3rdparty", + "cwd": "node_modules/knockout/build/output", + "debug": { + "src": "knockout-latest.debug.js", + "path": "libs/knockout/knockout-#{version}.debug.js", + "cdnPath": "knockout/knockout-3.5.1.debug" + }, + "release": { + "src": "knockout-latest.js", + "path": "libs/knockout/knockout-#{version}.js", + "cdnPath": "knockout/knockout-3.5.1" + } + }, + "jquery": { + "cdn": "3rdparty", + "cwd": "node_modules/jquery/dist", + "debug": { + "src": "jquery.js", + "path": "libs/jquery/jquery-#{version}.js", + "cdnPath": "jquery/jquery-3.6.4" + }, + "release": { + "src": "jquery.min.js", + "path": "libs/jquery/jquery-#{version}.min.js", + "cdnPath": "jquery/jquery-3.6.4.min" + } + }, + "jqueryui-amd": { + "cdn": "3rdparty", + "cwd": "node_modules/jquery-ui/ui", + "debug": { + "src": [ + "*.js", + "widgets/draggable.js", + "widgets/mouse.js", + "widgets/sortable.js", + "vendor/jquery-color/jquery.color.js" + ], + "path": "libs/jquery/jqueryui-amd-#{version}", + "cdnPath": "jquery/jqueryui-amd-1.13.2" + }, + "release": { + "src": [ + "*.js", + "widgets/draggable.js", + "widgets/mouse.js", + "widgets/sortable.js", + "vendor/jquery-color/jquery.color.js" + ], + "path": "libs/jquery/jqueryui-amd-#{version}.min", + "cdnPath": "jquery/jqueryui-amd-1.13.2.min" + } + }, + "hammerjs": { + "cdn": "3rdparty", + "cwd": "node_modules/hammerjs", + "debug": { + "src": "hammer.js", + "path": "libs/hammer/hammer-#{version}.js", + "cdnPath": "hammer/hammer-2.0.8" + }, + "release": { + "src": "hammer.min.js", + "path": "libs/hammer/hammer-#{version}.min.js", + "cdnPath": "hammer/hammer-2.0.8.min" + } + }, + "ojdnd": { + "cdn": "3rdparty", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/dnd-polyfill", + "debug": { + "src": "dnd-polyfill-1.0.2.js", + "path": "libs/dnd-polyfill/dnd-polyfill-1.0.2.js", + "cdnPath": "dnd-polyfill/dnd-polyfill-1.0.2" + }, + "release": { + "src": "dnd-polyfill-1.0.2.min.js", + "path": "libs/dnd-polyfill/dnd-polyfill-1.0.2.min.js", + "cdnPath": "dnd-polyfill/dnd-polyfill-1.0.2.min" + } + }, + "ojs": { + "cdn": "jet", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", + "debug": { + "src": ["debug*/**"], + "path": "libs/oj/#{version}", + "pathSuffix": "/debug'", + "cdnPath": "" + }, + "release": { + "src": ["min*/**"], + "path": "libs/oj/#{version}", + "pathSuffix": "/min'", + "cdnPath": "" + } + }, + "ojL10n": { + "cdn": "jet", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", + "debug": { + "src": "ojL10n.js", + "path": "libs/oj/#{version}/ojL10n.js", + "cdnPath": "ojL10n" + }, + "release": { + "src": "ojL10n.js", + "path": "libs/oj/#{version}/ojL10n.js", + "cdnPath": "ojL10n" + } + }, + "ojtranslations": { + "cdn": "jet", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj/resources", + "debug": { + "src": ["**"], + "path": "libs/oj/#{version}/resources", + "cdnPath": "resources" + }, + "release": { + "src": ["**"], + "path": "libs/oj/#{version}/resources", + "cdnPath": "resources" + } + }, + "@oracle/oraclejet-preact": { + "cdn": "3rdparty", + "cwd": "node_modules/@oracle/oraclejet-preact/amd", + "debug": { + "src": ["**"], + "path": "libs/oraclejet-preact/amd", + "cdnPath": "oraclejet-preact/amd" + }, + "release": { + "src": ["**"], + "path": "libs/oraclejet-preact/amd", + "cdnPath": "oraclejet-preact/amd" + } + }, + "oj-c": { + "cdn": "3rdparty", + "cwd": "node_modules/@oracle/oraclejet-core-pack/oj-c", + "debug": { + "src": ["**"], + "path": "libs/packs/oj-c", + "cdnPath": "../../packs/oj-c/#{version}/min" + }, + "release": { + "src": ["**"], + "path": "libs/packs/oj-c/min", + "cdnPath": "../../packs/oj-c/#{version}/min" + } + }, + "persist": { + "cdn": "3rdparty", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/persist", + "debug": { + "cwd": "debug", + "src": ["**"], + "path": "libs/persist/debug", + "cdnPath": "persist/debug" + }, + "release": { + "cwd": "min", + "src": ["**"], + "path": "libs/persist/min", + "cdnPath": "persist/min" + } + }, + "text": { + "cdn": "3rdparty", + "cwd": "node_modules/requirejs-text", + "debug": { + "src": "text.js", + "path": "libs/require/text.js", + "cdnPath": "require/text" + }, + "release": { + "src": "text.js", + "path": "libs/require/text.js", + "cdnPath": "require/text" + } + }, + "signals": { + "cdn": "3rdparty", + "cwd": "node_modules/signals/dist", + "debug": { + "src": "signals.js", + "path": "libs/js-signals/signals.js", + "cdnPath": "js-signals/signals" + }, + "release": { + "src": "signals.min.js", + "path": "libs/js-signals/signals.min.js", + "cdnPath": "js-signals/signals.min" + } + }, + "touchr": { + "cdn": "3rdparty", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/touchr", + "debug": { + "src": "touchr.js", + "path": "libs/touchr/touchr.js", + "cdnPath": "touchr/touchr" + }, + "release": { + "src": "touchr.js", + "path": "libs/touchr/touchr.js", + "cdnPath": "touchr/touchr" + } + }, + "preact": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/dist", + "debug": { + "src": ["preact.umd.js", "preact.umd.js.map"], + "path": "libs/preact/dist/preact.umd.js", + "cdnPath": "preact/dist/preact.umd" + }, + "release": { + "src": ["preact.umd.js", "preact.umd.js.map"], + "path": "libs/preact/dist/preact.umd.js", + "cdnPath": "preact/dist/preact.umd" + } + }, + "preact/hooks": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/hooks/dist", + "debug": { + "src": ["hooks.umd.js", "hooks.umd.js.map"], + "path": "libs/preact/hooks/dist/hooks.umd.js", + "cdnPath": "preact/hooks/dist/hooks.umd" + }, + "release": { + "src": ["hooks.umd.js", "hooks.umd.js.map"], + "path": "libs/preact/hooks/dist/hooks.umd.js", + "cdnPath": "preact/hooks/dist/hooks.umd" + } + }, + "preact/compat": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/compat/dist", + "debug": { + "src": ["compat.umd.js", "compat.umd.js.map"], + "path": "libs/preact/compat/dist/compat.umd.js", + "cdnPath": "preact/compat/dist/compat.umd" + }, + "release": { + "src": ["compat.umd.js", "compat.umd.js.map"], + "path": "libs/preact/compat/dist/compat.umd.js", + "cdnPath": "preact/compat/dist/compat.umd" + }, + "requireMap": "react" + }, + "preact/jsx-runtime": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/jsx-runtime/dist", + "debug": { + "src": ["jsxRuntime.umd.js", "jsxRuntime.umd.js.map"], + "path": "libs/preact/jsx-runtime/dist/jsxRuntime.umd.js", + "cdnPath": "preact/jsx-runtime/dist/jsxRuntime.umd" + }, + "release": { + "src": ["jsxRuntime.umd.js", "jsxRuntime.umd.js.map"], + "path": "libs/preact/jsx-runtime/dist/jsxRuntime.umd.js", + "cdnPath": "preact/jsx-runtime/dist/jsxRuntime.umd" + } + }, + "preact/debug": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/debug/dist", + "debug": { + "src": ["debug.umd.js", "debug.umd.js.map"], + "path": "libs/preact/debug/dist/debug.umd.js", + "cdnPath": "preact/debug/dist/debug.umd" + }, + "release": { + "src": ["debug.umd.js", "debug.umd.js.map"], + "path": "libs/preact/debug/dist/debug.umd.js", + "cdnPath": "preact/debug/dist/debug.umd" + } + }, + "preact/devtools": { + "cdn": "3rdparty", + "cwd": "node_modules/preact/devtools/dist", + "debug": { + "src": ["devtools.umd.js", "devtools.umd.js.map"], + "path": "libs/preact/devtools/dist/devtools.umd.js", + "cdnPath": "preact/devtools/dist/devtools.umd" + }, + "release": { + "src": ["devtools.umd.js", "devtools.umd.js.map"], + "path": "libs/preact/devtools/dist/devtools.umd.js", + "cdnPath": "preact/devtools/dist/devtools.umd" + } + }, + "proj4": { + "cdn": "3rdparty", + "cwd": "node_modules/proj4/dist", + "debug": { + "src": "proj4-src.js", + "path": "libs/proj4js/dist/proj4-src.js", + "cdnPath": "proj4js/dist/proj4" + }, + "release": { + "src": "proj4", + "path": "libs/proj4js/dist/proj4.js", + "cdnPath": "proj4js/dist/proj4" + } + }, + "css": { + "cdn": "3rdparty", + "cwd": "node_modules/require-css", + "debug": { + "src": ["css.js", "css-builder.js", "normalize.js"], + "path": "libs/require-css/css.js", + "cdnPath": "require-css/css" + }, + "release": { + "src": ["css.min.js", "css-builder.js", "normalize.js"], + "path": "libs/require-css/css.min.js", + "cdnPath": "require-css/css.min" + } + }, + "ojcss": { + "cdn": "jet", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", + "debug": { + "src": ["debug/ojcss.js"], + "path": "libs/oj/#{version}", + "pathSuffix": "/debug/ojcss'", + "cdnPath": "ojcss" + }, + "release": { + "src": ["min/ojcss.js"], + "path": "libs/oj/#{version}", + "pathSuffix": "/min/ojcss'", + "cdnPath": "ojcss" + } + }, + "ojs/ojcss": { + "cdn": "jet", + "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", + "debug": { + "src": ["debug/ojcss.js"], + "path": "libs/oj/#{version}", + "pathSuffix": "/debug/ojcss'", + "cdnPath": "ojcss" + }, + "release": { + "src": ["min/ojcss.js"], + "path": "libs/oj/#{version}", + "pathSuffix": "/min/ojcss'", + "cdnPath": "ojcss" + } + }, + "chai": { + "cdn": "3rdparty", + "cwd": "node_modules/chai/", + "debug": { + "src": "chai.js", + "path": "libs/chai/chai.js", + "cdnPath": "chai/chai-4.3.10" + }, + "release": { + "src": "chai.js", + "path": "libs/chai/chai.js", + "cdnPath": "chai/chai-4.3.10.min" + } + }, + "stompjs": { + "cwd": "node_modules/@stomp/stompjs/bundles", + "debug": { + "src": "stomp.umd.js", + "path": "libs/stompjs/stomp.umd.js" + }, + "release": { + "src": "stomp.umd.min.js", + "path": "libs/stompjs/stomp.umd.min.js" + } + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_create.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_create.js new file mode 100644 index 00000000..e0ad6545 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_create.js @@ -0,0 +1,14 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function () { + return new Promise((resolve) => { + console.log("Running after_app_create hook."); + resolve(); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_restore.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_restore.js new file mode 100644 index 00000000..30642001 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_restore.js @@ -0,0 +1,14 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function () { + return new Promise((resolve) => { + console.log("Running after_app_restore hook."); + resolve(); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_typescript.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_typescript.js new file mode 100644 index 00000000..2d969d10 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_app_typescript.js @@ -0,0 +1,14 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running after_app_typescript hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_build.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_build.js new file mode 100644 index 00000000..eb27904a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_build.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running after_build hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_build.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_build.js new file mode 100644 index 00000000..a4f1f047 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_build.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running after_component_build hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_create.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_create.js new file mode 100644 index 00000000..9f461282 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_create.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running after_component_create hook."); + // const componentPath = configObj.componentPath; + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_package.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_package.js new file mode 100644 index 00000000..1a78a682 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_package.js @@ -0,0 +1,13 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running after_component_package hook."); + // const componentName = configObj.component. + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_typescript.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_typescript.js new file mode 100644 index 00000000..9d0bb027 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_component_typescript.js @@ -0,0 +1,14 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running after_component_typescript hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_serve.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_serve.js new file mode 100644 index 00000000..2d9179bb --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_serve.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running after_serve hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_watch.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_watch.js new file mode 100644 index 00000000..38dd7c27 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/after_watch.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running after_watch hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_app_typescript.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_app_typescript.js new file mode 100644 index 00000000..7a1b70d2 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_app_typescript.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running before_app_typescript hook."); + //const { tsconfigJson } = configObj.typescript; + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_build.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_build.js new file mode 100644 index 00000000..51cc6f3b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_build.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_build hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_optimize.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_optimize.js new file mode 100644 index 00000000..5e8d4870 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_optimize.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_component_optimize hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_package.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_package.js new file mode 100644 index 00000000..2be7a093 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_package.js @@ -0,0 +1,13 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running before_component_package hook."); + // const componentName = configObj.component. + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_typescript.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_typescript.js new file mode 100644 index 00000000..fb955c68 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_component_typescript.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve) => { + console.log("Running before_component_typescript hook."); + //const { tsconfigJson } = configObj.typescript; + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_injection.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_injection.js new file mode 100644 index 00000000..f7dd1134 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_injection.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_injection hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_optimize.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_optimize.js new file mode 100644 index 00000000..3cc31d2e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_optimize.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_optimize hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_release_build.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_release_build.js new file mode 100644 index 00000000..fdfb7ec6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_release_build.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_release_build hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_serve.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_serve.js new file mode 100644 index 00000000..ba495a0e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_serve.js @@ -0,0 +1,46 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_serve hook."); + // ojet custom connect and serve options + const { connectOpts, serveOpts } = configObj; + const express = require("express"); + const http = require("http"); + const proxy = require("express-http-proxy"); + const url = require("url"); + + // New hostname+path as specified by question: + const apiProxy = proxy("http://localhost:8080", { + proxyReqPathResolver: (req) => url.parse("/api" + req.url).path, + }); + const app = express(); + app.use("/api", apiProxy); + // pass back custom http + configObj["http"] = http; + // pass back custom express app + configObj["express"] = app; + // pass back custom options for http.createServer + // const serverOptions = {...}; + // configObj['serverOptions'] = serverOptions; + // pass back custom server + // configObj['server'] = http.createServer(serverOptions, express()); + // const tinylr = require('tiny-lr'); + // pass back custom live reload server + // configObj['liveReloadServer'] = tinylr({ port: PORT }); + // pass back a replacement set of middleware + // configObj['middleware'] = [...]; + // pass back a set of middleware that goes before the default middleware + // configObj['preMiddleware'] = [...]; + // pass back a set of middleware that goes after the default middleware + // configObj['postMiddleware'] = [...]; + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_watch.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_watch.js new file mode 100644 index 00000000..2c16182b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_watch.js @@ -0,0 +1,15 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_watch hook."); + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_webpack.js b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_webpack.js new file mode 100644 index 00000000..e2f8888e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/before_webpack.js @@ -0,0 +1,16 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ + +"use strict"; + +module.exports = function (configObj) { + return new Promise((resolve, reject) => { + console.log("Running before_webpack hook."); + // const { config } = configObj.webpack; + resolve(configObj); + }); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/scripts/hooks/hooks.json b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/hooks.json new file mode 100644 index 00000000..992cc3d8 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/scripts/hooks/hooks.json @@ -0,0 +1,27 @@ +{ + "description": "OJET-CLI hooks configuration file", + "hooks": { + "after_app_create": "scripts/hooks/after_app_create.js", + "after_app_restore": "scripts/hooks/after_app_restore.js", + "after_component_create": "scripts/hooks/after_component_create.js", + "after_component_package": "scripts/hooks/after_component_package.js", + "before_build": "scripts/hooks/before_build.js", + "before_injection": "scripts/hooks/before_injection.js", + "before_optimize": "scripts/hooks/before_optimize.js", + "before_component_optimize": "scripts/hooks/before_component_optimize.js", + "before_component_package": "scripts/hooks/before_component_package.js", + "before_release": "scripts/hooks/before_release.js", + "before_watch": "scripts/hooks/before_watch.js", + "after_build": "scripts/hooks/after_build.js", + "after_component_build": "scripts/hooks/after_component_build.js", + "before_release_build": "scripts/hooks/before_release_build.js", + "before_serve": "scripts/hooks/before_serve.js", + "after_serve": "scripts/hooks/after_serve.js", + "after_watch": "scripts/hooks/after_watch.js", + "before_app_typescript": "scripts/hooks/before_app_typescript.js", + "before_component_typescript": "scripts/hooks/before_component_typescript.js", + "after_app_typescript": "scripts/hooks/after_app_typescript.js", + "after_component_typescript": "scripts/hooks/after_component_typescript.js", + "before_webpack": "scripts/hooks/before_webpack.js" + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/app.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/app.tsx new file mode 100644 index 00000000..81c81c6c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/app.tsx @@ -0,0 +1,26 @@ +import { Header } from "./header"; +import Content from "./content/index"; +import { registerCustomElement } from "ojs/ojvcomponent"; +import { createContext } from "preact"; + +type Props = { + appName: string; +}; +const tempArray = new Uint32Array(10); +const convoUUID = window.crypto.getRandomValues(tempArray); + +export const ConvoCtx = createContext(""); + +export const App = registerCustomElement("app-root", (props: Props) => { + props.appName = "Generative AI JET UI"; + + return ( +
+ + {console.log("UUID: ", convoUUID[0].toString())} +
+ + +
+ ); +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/answer.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/answer.tsx new file mode 100644 index 00000000..e7eeac79 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/answer.tsx @@ -0,0 +1,59 @@ +import "preact"; +import "md-wrapper/loader"; +import { ojListView } from "ojs/ojlistview"; +import "ojs/ojavatar"; + +declare global { + namespace preact.JSX { + interface IntrinsicElements { + "md-wrapper": any; + } + } +} + +type Props = { + item: ojListView.ItemTemplateContext; + sim: boolean; +}; + +export const Answer = ({ item, sim }: Props) => { + const answer = item.data.answer; + return ( + <> + {sim && ( +
  • +
    +
    + +
    +
    + +
    +
    +
    • + )} + {!sim && ( +
  • +
    +
    + +
    + {/*
    + +
    */} +
    +
    • + )} + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/chat.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/chat.tsx new file mode 100644 index 00000000..bfa11d8d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/chat.tsx @@ -0,0 +1,98 @@ +import { Question } from "./question"; +import { Answer } from "./answer"; +import { Loading } from "./loading"; +import { ComponentProps } from "preact"; +import { useEffect, useRef, useState, MutableRef } from "preact/hooks"; +import "ojs/ojlistview"; +import { ojListView } from "ojs/ojlistview"; +import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); +import Context = require("ojs/ojcontext"); + +type Props = { + testId?: string; + data: any; + questionChanged: (event: any) => void; + question: MutableRef; +}; + +type Item = { + id: number; + answer?: string; + question?: string; + loading?: string; +}; + +type ListProps = ComponentProps<"oj-list-view">; +const madp = new MutableArrayDataProvider([], { + keyAttributes: "id", +}); + +export const Chat = ({ testId, data, questionChanged, question }: Props) => { + const dataProvider = useRef(madp); + const listRef = useRef>(null); + const [lastKey, setLastKey] = useState(0); + + const scrollPos: ListProps["scrollPosition"] = { key: lastKey }; + let busyContext = Context.getContext( + listRef.current as ojListView + ).getBusyContext(); + + useEffect(() => { + dataProvider.current.data = data; + console.log("lastKey before set: ", lastKey); + + // the use of BusyContext here should not be required. It's a workaround for JET-64237. + // it can be removed once the bug is fixed. + busyContext.whenReady().then(() => { + setLastKey(data.length - 1); + }); + }, [data, busyContext]); + + const chatNoDataTemplate = () => { + return ( +
    +
    + Be the first to ask a question! +
    +
    + ); + }; + + const chatItemTemplate = (item: ojListView.ItemTemplateContext) => { + return ( + <> + {item.data.answer && } + {item.data.loading && } + {item.data.question && } + + ); + }; + + return ( + <> +
    + + + + +
    + + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/data/answers.json b/apps/oci-generative-ai-jet-ui/app/src/components/content/data/answers.json new file mode 100644 index 00000000..1bd13fa0 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/data/answers.json @@ -0,0 +1 @@ +["Answer 1", "Answer 2", "Answer 3", "Answer 4"] diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/data/questions.json b/apps/oci-generative-ai-jet-ui/app/src/components/content/data/questions.json new file mode 100644 index 00000000..d9c1a26d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/data/questions.json @@ -0,0 +1 @@ +["Question 1", "Question 2", "Question 3", "Question 4"] diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/index.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/index.tsx new file mode 100644 index 00000000..d65bfb20 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/index.tsx @@ -0,0 +1,245 @@ +import { Chat } from "./chat"; +import { Summary } from "./summary"; +import { Simulation } from "./simulation"; +import { Settings } from "./settings"; +import "preact"; +import "ojs/ojinputsearch"; +import "oj-c/message-toast"; +import "oj-c/drawer-popup"; +import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); +import { MessageToastItem } from "oj-c/message-toast"; +import { InputSearchElement } from "ojs/ojinputsearch"; +import { useState, useEffect, useRef, useContext } from "preact/hooks"; +import * as Questions from "text!./data/questions.json"; +import * as Answers from "text!./data/answers.json"; +import { initWebSocket } from "./websocket-interface"; +import { InitStomp, sendPrompt } from "./stomp-interface"; +import { Client } from "@stomp/stompjs"; +import { ConvoCtx } from "../app"; + +type ServiceTypes = "text" | "summary" | "sim"; +type BackendTypes = "java" | "python"; +type Chat = { + id?: number; + question?: string; + answer?: string; + loading?: string; +}; +type Model = { + id: string; + name: string; + vendor: string; + version: string; + capabilities: Array; + timeCreated: string; +}; + +const defaultServiceType: string = localStorage.getItem("service") || "text"; +const defaultBackendType: string = localStorage.getItem("backend") || "java"; + +const Content = () => { + const conversationId = useContext(ConvoCtx); + const [update, setUpdate] = useState>([]); + const [busy, setBusy] = useState(false); + const [summaryResults, setSummaryResults] = useState(""); + const [modelId, setModelId] = useState(null); + const [summaryPrompt, setSummaryPrompt] = useState(); + const [serviceType, setServiceType] = useState(defaultServiceType as ServiceTypes); + const [backendType, setBackendType] = useState(defaultBackendType as BackendTypes); + const [settingsOpened, setSettingsOpened] = useState(false); + const question = useRef(); + const chatData = useRef>([]); + const socket = useRef(); + const finetune = useRef(false); + const [client, setClient] = useState(null); + + const messagesDP = useRef( + new MutableArrayDataProvider([], { + keyAttributes: "summary", + }) + ); + + // Simulation code + const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms)); + const runSimulation = async () => { + let Q = true; + let x: number = 0; + let y: number = 0; + let tempArray: Array = []; + for (let index = 0; index < 8; index++) { + if (Q) { + if (x > 0) tempArray.pop(); + tempArray.push({ question: JSON.parse(Questions)[x] }); + Q = false; + x++; + } else { + tempArray.push({ answer: JSON.parse(Answers)[y] }); + if (y < JSON.parse(Answers).length - 1) tempArray.push({ loading: "loading" }); + Q = true; + y++; + } + setUpdate([...tempArray]); + await sleep(2000); + } + }; + + useEffect(() => { + switch (serviceType) { + case "text": + if (backendType === "python") { + initWebSocket(setSummaryResults, setBusy, setUpdate, messagesDP, socket, chatData); + } else { + setClient(InitStomp(setBusy, setUpdate, messagesDP, chatData, serviceType)); + } + console.log("Running Generative service"); + return; + case "sim": + runSimulation(); + console.log("Running simulation"); + return; + case "summary": + if (backendType === "python") { + initWebSocket(setSummaryResults, setBusy, setUpdate, messagesDP, socket, chatData); + } else { + setClient(InitStomp(setBusy, setUpdate, messagesDP, chatData, serviceType)); + } + console.log("Running Summarization service"); + return; + } + return () => { + socket.current ? (socket.current.onclose = () => {}) : null; + socket.current?.close(); + client?.deactivate(); + }; + }, [serviceType]); + + const handleQuestionChange = (event: InputSearchElement.ojValueAction) => { + // if we are waiting for an answer to be returned, throw an alert and return + if (busy) { + messagesDP.current.data = [ + { + summary: "Still waiting for an answer!", + detail: "Hang in there a little longer.", + autoTimeout: "on", + }, + ]; + return; + } + if (event.detail.value) { + question.current = event.detail.value; + let tempArray = [...chatData.current]; + tempArray.push({ + id: tempArray.length as number, + question: question.current, + }); + chatData.current = tempArray; + setUpdate(chatData.current); + + // adding loading animation while we wait for answer to come back + let tempAnswerArray = [...chatData.current]; + tempAnswerArray.push({ + id: tempAnswerArray.length as number, + loading: "loading", + }); + chatData.current = tempAnswerArray; + setUpdate(chatData.current); + setBusy(true); + + if (backendType === "python") { + socket.current?.send(JSON.stringify({ msgType: "question", data: question.current })); + } else { + sendPrompt(client, question.current!, modelId!, conversationId!, finetune.current); + } + } + }; + + const handleFileUpload = (file: ArrayBuffer) => { + socket.current?.send(file); + }; + + const handleDrawerState = () => { + setSettingsOpened(false); + }; + const toggleDrawer = () => { + setSettingsOpened(!settingsOpened); + }; + const handleToastClose = () => { + messagesDP.current.data = []; + }; + + const serviceTypeChangeHandler = (service: ServiceTypes) => { + localStorage.setItem("service", service); + setUpdate([]); + chatData.current = []; + setServiceType(service); + }; + const backendTypeChangeHandler = (backend: BackendTypes) => { + setUpdate([]); + chatData.current = []; + setBackendType(backend); + localStorage.setItem("backend", backend); + location.reload(); + }; + const modelIdChangeHandler = (value: string, modelType: boolean) => { + if (value != null) setModelId(value); + finetune.current = modelType; + }; + const clearSummary = () => { + setSummaryResults(""); + }; + + const updateSummaryPrompt = (val: string) => { + setSummaryPrompt(val); + }; + const updateSummaryResults = (summary: string) => { + setSummaryResults(summary); + }; + + return ( +
    + + + +
    + +
    + + + +
    +
    + {serviceType === "text" && ( + + )} + {serviceType === "sim" && ( + + )} + {serviceType === "summary" && ( + + )} +
    + ); +}; +export default Content; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/loading.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/loading.tsx new file mode 100644 index 00000000..67418a95 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/loading.tsx @@ -0,0 +1,17 @@ +import "preact"; +import "oj-c/progress-bar"; + +export const Loading = () => { + return ( +
  • +
    +
    + {/*
    */} +
    + +
    +
    +
    +
    • + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/question.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/question.tsx new file mode 100644 index 00000000..e075cf99 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/question.tsx @@ -0,0 +1,43 @@ +import "preact"; +import { ojListView } from "ojs/ojlistview"; +import "ojs/ojavatar"; + +type Props = { + item: ojListView.ItemTemplateContext; + sim: boolean; +}; +export const Question = ({ item, sim }: Props) => { + return ( + <> + {sim && ( +
  • +
    +
    + +
    +
    + {item.data.question} +
    +
    +
    • + )} + {!sim && ( +
  • +
    +
    + +
    +
    + {item.data.question} +
    +
    +
    • + )} + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/settings.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/settings.tsx new file mode 100644 index 00000000..2a933c44 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/settings.tsx @@ -0,0 +1,192 @@ +import { useEffect, useRef } from "preact/hooks"; +import "oj-c/radioset"; +import "oj-c/form-layout"; +import "oj-c/select-single"; +import "ojs/ojlistitemlayout"; +import "ojs/ojhighlighttext"; +import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); +import { ojSelectSingle } from "@oracle/oraclejet/ojselectsingle"; + +type ServiceTypeVal = "text" | "summary" | "sim"; +type BackendTypeVal = "java" | "python"; +type Services = { + label: string; + value: ServiceTypeVal; +}; +type Props = { + aiServiceType: ServiceTypeVal; + backendType: BackendTypeVal; + aiServiceChange: (service: ServiceTypeVal) => void; + backendChange: (backend: BackendTypeVal) => void; + modelIdChange: (modelId: any, modelData: any) => void; +}; + +const serviceTypes = [ + { value: "text", label: "Generative Text" }, + { value: "summary", label: "Summarize" }, +]; +// { value: "sim", label: "Simulation" }, + +const backendTypes = [ + { value: "java", label: "Java" }, + { value: "python", label: "Python" }, +]; +type Model = { + id: string; + name: string; + vendor: string; + version: string; + capabilities: Array; + timeCreated: string; +}; +type Endpoint = { + id: string; + name: string; + state: string; + model: string; + timeCreated: string; +}; +const serviceOptionsDP = new MutableArrayDataProvider(serviceTypes, { + keyAttributes: "value", +}); +const backendOptionsDP = new MutableArrayDataProvider(backendTypes, { + keyAttributes: "value", +}); + +export const Settings = (props: Props) => { + const handleServiceTypeChange = (event: any) => { + if (event.detail.updatedFrom === "internal") props.aiServiceChange(event.detail.value); + }; + const handleBackendTypeChange = (event: any) => { + if (event.detail.updatedFrom === "internal") props.backendChange(event.detail.value); + }; + + const modelDP = useRef( + new MutableArrayDataProvider([], { + keyAttributes: "id", + }) + ); + const endpoints = useRef>(); + + const fetchModels = async () => { + try { + const response = await fetch("/api/genai/models"); + if (!response.ok) { + throw new Error(`Response status: ${response.status}`); + } + const json = await response.json(); + const result = json.filter((model: Model) => { + if ( + model.capabilities.includes("CHAT") && + (model.vendor == "cohere" || model.vendor == "meta") + ) + return model; + }); + modelDP.current.data = result; + } catch (error: any) { + console.log("Java service not available for fetching list of Models: ", error.message); + } + }; + const fetchEndpoints = async () => { + try { + const response = await fetch("/api/genai/endpoints"); + if (!response.ok) { + throw new Error(`Response status: ${response.status}`); + } + const json = await response.json(); + const result = json.filter((endpoint: Endpoint) => { + // add filtering code here + return endpoint; + }); + endpoints.current = result; + } catch (error: any) { + console.log("Java service not available for fetching list of Endpoints: ", error.message); + } + }; + + useEffect(() => { + fetchEndpoints(); + fetchModels(); + }, []); + + const modelChangeHandler = async (event: ojSelectSingle.valueChanged) => { + let selected = event.detail.value; + let finetune = false; + const asyncIterator = modelDP.current.fetchFirst()[Symbol.asyncIterator](); + let result = await asyncIterator.next(); + let value = result.value; + let data = value.data as Array; + let idx = data.find((e: Model) => { + if (e.id === selected) return e; + }); + if (idx?.capabilities.includes("FINE_TUNE")) { + finetune = true; + let endpointId = endpoints.current?.find((e: Endpoint) => { + if (e.model === event.detail.value) { + return e.id; + } + }); + selected = endpointId ? endpointId.id : event.detail.value; + } + props.modelIdChange(selected, finetune); + }; + + const modelTemplate = (item: any) => { + return ( + + + + + + + + + ); + }; + + return ( +
    +

    AI service types

    + + + +

    Backend service types

    + + + + {props.aiServiceType == "text" && props.backendType == "java" && ( + <> +

    Model options

    + + + + + + + )} +
    + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/simulation.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/simulation.tsx new file mode 100644 index 00000000..e520e806 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/simulation.tsx @@ -0,0 +1,98 @@ +import { Question } from "./question"; +import { Answer } from "./answer"; +import { Loading } from "./loading"; +import { ComponentProps } from "preact"; +import { useEffect, useRef, useState, MutableRef } from "preact/hooks"; +import "ojs/ojlistview"; +import { ojListView } from "ojs/ojlistview"; +import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); +import Context = require("ojs/ojcontext"); + +type Props = { + testId?: string; + data: any; + questionChanged: (event: any) => void; + question: MutableRef; +}; + +type Item = { + id: number; + answer?: string; + question?: string; + loading?: string; +}; + +type ListProps = ComponentProps<"oj-list-view">; +const madp = new MutableArrayDataProvider([], { + keyAttributes: "id", +}); + +export const Simulation = ({ testId, data, questionChanged, question }: Props) => { + const dataProvider = useRef(madp); + const listRef = useRef>(null); + const [lastKey, setLastKey] = useState(0); + + const scrollPos: ListProps["scrollPosition"] = { key: lastKey }; + let busyContext = Context.getContext( + listRef.current as ojListView + ).getBusyContext(); + + useEffect(() => { + dataProvider.current.data = data; + console.log("lastKey before set: ", lastKey); + + // the use of BusyContext here should not be required. It's a workaround for JET-64237. + // it can be removed once the bug is fixed. + busyContext.whenReady().then(() => { + setLastKey(data.length - 1); + }); + }, [data, busyContext]); + + const chatNoDataTemplate = () => { + return ( +
    +
    + Be the first to ask a question! +
    +
    + ); + }; + + const chatItemTemplate = (item: ojListView.ItemTemplateContext) => { + return ( + <> + {item.data.answer && } + {item.data.loading && } + {item.data.question && } + + ); + }; + + return ( + <> +
    + + + + +
    + + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/stomp-interface.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/stomp-interface.tsx new file mode 100644 index 00000000..be704746 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/stomp-interface.tsx @@ -0,0 +1,141 @@ +import "preact"; +import { Client } from "stompjs"; + +// setup the Stompjs connection +export const InitStomp = ( + setBusy: any, + setUpdate: any, + messagesDP: any, + chatData: any, + serviceType: any +) => { + const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; + const hostname = + window.location.hostname === "localhost" ? "localhost:8080" : window.location.hostname; + const serviceURL = `${protocol}${hostname}/websocket`; + let snippets: Array = []; + let codesnipIdx = 0; + + console.log("in the stomp init module"); + const client = new Client({ + brokerURL: serviceURL, + onConnect: () => { + if (serviceType === "text") { + client.subscribe("/user/queue/answer", (message: any) => { + console.log("Answer message: ", JSON.parse(message.body).content); + onMessage(message); + }); + } else if (serviceType === "summary") { + client.subscribe("/user/queue/summary", (message: any) => { + console.log("Summary message: ", JSON.parse(message.body).content); + onMessage(message); + }); + } + }, + onStompError: (e) => { + console.log("Stomp Error: ", e); + }, + onWebSocketError: () => { + console.log("Error connecting to Websocket service"); + serviceType === "text" + ? client.unsubscribe("/user/queue/answer") + : client.unsubscribe("/user/queue/summary"); + client.deactivate(); + }, + }); + client.activate(); + + const getIdxs = (searchTxt: string, data: string) => { + let idx = 0; + let tempArray = []; + while (idx !== -1) { + idx = data.indexOf(searchTxt, idx + 1); + tempArray.push(idx); + } + return tempArray; + }; + + const getCodeSnippets = (indexes: Array, data: string) => { + let i = 0; + snippets = []; + while (i < indexes.length - 1 && indexes[0] !== -1) { + let tempStr = data.substring(indexes[i], indexes[i + 1]); + let langLen = tempStr.indexOf("\n"); + let trimmed = tempStr.substring(langLen); + snippets.push(trimmed); + i += 2; + } + console.log("snippets: ", snippets); + console.log("codesnipIdx in getCodeSnippets: ", codesnipIdx); + return snippets; + }; + + const addButtons = () => { + setTimeout(() => { + const codeSections: HTMLCollectionOf = document.getElementsByTagName("pre"); + let x = 0; + for (let i = codesnipIdx; i < Array.from(codeSections).length; i++) { + let tempStr = JSON.stringify(snippets[x]); + let btn = document.createElement("button"); + btn.setAttribute("id", "btn-" + codesnipIdx); + btn.setAttribute("onclick", "copytoclip(" + tempStr + ")"); + // btn.setAttribute("class", "copy-to-clip-btn"); + btn.innerText = "Copy"; + btn.style.cssText = `position:relative;float:right`; + codeSections[codesnipIdx]?.prepend(btn); + console.log("codesnipIdx before increment in addButton: ", codesnipIdx); + codesnipIdx++; + x++; + } + }, 750); + }; + const getClipboardOptions = (data: string) => { + const searchTxt = "```"; + const indexes = getIdxs(searchTxt, data); + const snippets = getCodeSnippets(indexes, data); + return indexes[0] != -1 ? true : false; + }; + + const onMessage = (msg: any) => { + let aiAnswer = JSON.parse(msg.body).content; + if (msg.data !== "connected") { + let tempArray = [...chatData.current]; + // remove the animation item before adding answer + setBusy(false); + tempArray.pop(); + messagesDP.current.data = []; + const snipsExist = getClipboardOptions(aiAnswer); + tempArray.push({ + id: tempArray.length as number, + answer: aiAnswer, + }); + chatData.current = tempArray; + setUpdate(chatData.current); + snipsExist ? addButtons() : null; + } + }; + return client; +}; + +export const sendPrompt = ( + client: Client | null, + prompt: string, + modelId: string, + convoId: string, + finetune: boolean +) => { + if (client?.connected) { + console.log("Sending prompt: ", prompt); + client.publish({ + destination: "/genai/prompt", + body: JSON.stringify({ + conversationId: convoId, + content: prompt, + modelId: modelId, + finetune: finetune, + }), + }); + } else { + console.log("Error, no Stomp connection"); + } +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/summary.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/summary.tsx new file mode 100644 index 00000000..4fce734b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/summary.tsx @@ -0,0 +1,326 @@ +import "preact"; +import { useState, useRef, useEffect, useContext } from "preact/hooks"; +import "md-wrapper/loader"; +import "ojs/ojtoolbar"; +import "oj-c/file-picker"; +import "oj-c/message-toast"; +import "oj-c/input-text"; +import "oj-c/progress-bar"; +import "oj-c/button"; +import "ojs/ojvalidationgroup"; +import { ojValidationGroup } from "ojs/ojvalidationgroup"; +import { CFilePickerElement } from "oj-c/file-picker"; +import { CInputTextElement } from "oj-c/input-text"; +import { CButtonElement } from "oj-c/button"; +import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); +import { ConvoCtx } from "../app"; + +declare global { + namespace preact.JSX { + interface IntrinsicElements { + "md-wrapper": any; + } + } +} +type Props = { + fileChanged: (file: ArrayBuffer) => void; + clear: () => void; + prompt: (val: string) => void; + summaryChanged: (summary: string) => void; + summary: string; + backendType: any; +}; +const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; +const hostname = + window.location.hostname === "localhost" ? "localhost:8080" : window.location.hostname; +const serviceRootURL = `${protocol}${hostname}`; +const acceptArr: string[] = ["application/pdf", "*.pdf", "text/plain", "*.txt"]; +const messages: { id: number; severity: string; summary: string }[] = []; +const FILE_SIZE = 120000; + +export const Summary = ({ + fileChanged, + clear, + prompt, + summaryChanged, + summary, + backendType, +}: Props) => { + const conversationId = useContext(ConvoCtx); + const [invalidMessage, setInvalidMessage] = useState(null); + const [summaryPrompt, setSummaryPrompt] = useState(""); + const [summaryResults, setSummaryResults] = useState(summary); + const [fileNames, setFileNames] = useState(null); + const [file, setFile] = useState(null); + const [messages, setMessages] = useState([]); + const [pdfFile, setPDFFile] = useState(); + const [loading, setLoading] = useState(false); + const invalidFiles = useRef([]); + const valGroupRef = useRef(null); + const promptInputRef = useRef>(null); + + // Message toast related methods + const closeMessage = () => { + setMessages([]); + invalidFiles.current = []; + setFileNames(null); + }; + + const messagesDP = new MutableArrayDataProvider(messages, { + keyAttributes: "id", + }); + + // Prompt input related methods + const submitPrompt = (event: CInputTextElement.valueChanged) => { + let tempStr = event.detail.value ? event.detail.value : "Generate a summary"; + setSummaryPrompt(tempStr); + prompt(tempStr); + }; + + const sendToJavaBackend = async (file: File, prompt: string) => { + const formData = new FormData(); + formData.append("file", file); + + const res = await fetch("/api/upload", { + // const res = await fetch("http://localhost:5173/api/upload", { + method: "POST", + mode: "cors", + referrerPolicy: "strict-origin-when-cross-origin", + body: formData, + headers: { conversationID: conversationId, modelId: "" }, + }); + console.log("Response: ", res); + const responseData = await res.json(); + const { content, errorMessage } = responseData; + if (errorMessage.length) { + // setErrorMessage(errorMessage); + // setShowError(true); + } else { + console.log("Response: ", content); + setSummaryResults(content); + summaryChanged(content); + } + }; + // FilePicker related methods + const selectListener = async (event: CFilePickerElement.ojSelect) => { + setInvalidMessage(""); + const files: FileList = event.detail.files; + const filesArray: File[] = Array.from(files); + let names = filesArray.map((file: File) => { + return file?.name; + }); + + if (backendType === "java") { + setFile(files[0]); + setFileNames(names); + } else { + const fr = new FileReader(); + let ab = new ArrayBuffer(200000000); + fr.onload = (ev: ProgressEvent) => { + let ab = fr.result; + setPDFFile(ab as ArrayBuffer); + }; + fr.readAsArrayBuffer(files[0]); + setFileNames(names); + } + }; + + const buildSummaryData = (rawData: ArrayBuffer) => { + const metaJson = { + type: "summary", + msgPrompt: summaryPrompt, + }; + + // _must_ do this to encode as a ArrayBuffer / Uint8Array + // credit to Ben Wills and this article for inspiration with the below code. + // https://enomem.io/sending-and-receiving-binary-files-via-websockets/ + const enc = new TextEncoder(); // always utf-8, Uint8Array() + const buf1 = enc.encode(JSON.stringify(metaJson)); + const buf2 = enc.encode("\r\n\r\n"); + const buf3 = rawData; + + let sendData = new Uint8Array(buf1.byteLength + buf2.byteLength + buf3.byteLength); + sendData.set(new Uint8Array(buf1), 0); + sendData.set(new Uint8Array(buf2), buf1.byteLength); + sendData.set(new Uint8Array(buf3), buf1.byteLength + buf2.byteLength); + + return sendData; + }; + + const invalidListener = (event: CFilePickerElement.ojInvalidSelect) => { + setFileNames([]); + const promise = event.detail.until; + + if (promise) { + promise.then(() => { + setInvalidMessage(""); + }); + } + }; + const beforeSelectListener = (event: CFilePickerElement.ojBeforeSelect) => { + const accept: (acceptPromise: Promise) => void = event.detail.accept; + const files: FileList = event.detail.files; + let file: File; + let tempArray: Array = []; + + for (let i = 0; i < files.length; i++) { + file = files[i]; + // Cohere has a character limit of ~100kb so we are restricting it here as well. + // We can use LangChain in this area to support larger files. + if (file.size > FILE_SIZE) { + tempArray.push(file.name); + invalidFiles.current = tempArray; + } + } + + if (invalidFiles.current.length === 0) { + accept(Promise.resolve()); + } else { + if (invalidFiles.current.length === 1) { + let temp: Array = []; + temp.push({ + id: 0, + severity: "Error", + summary: + "File " + + invalidFiles.current[0] + + ` is too big. The maximum size is ${FILE_SIZE / 1000}KB.`, + }); + setMessages(temp); + } else { + const fileNames = invalidFiles.current.join(", "); + let temp: Array = []; + temp.push({ + id: 0, + severity: "Error", + summary: + "These files are too big: " + + fileNames + + `. The maximum size is ${FILE_SIZE / 1000}KB.`, + }); + setMessages(temp); + } + + accept(Promise.reject(messages)); + } + }; + + useEffect(() => { + if (summaryResults !== "") setLoading(!loading); + }, [summaryResults]); + + useEffect(() => { + setSummaryResults(summary); + }, [summary]); + + useEffect(() => { + return () => { + clearSummarization(); + }; + }, []); + + const _checkValidationGroup = () => { + const tracker = valGroupRef.current as ojValidationGroup; + if (tracker.valid === "valid") { + return true; + } else { + // show messages on all the components that are invalidHiddden, i.e., the + // required fields that the user has yet to fill out. + tracker.showMessages(); + tracker.focusOn("@firstInvalidShown"); + return false; + } + }; + + // Summarize methods + const summarizeFile = (event: CButtonElement.ojAction) => { + const valid = _checkValidationGroup(); + if (valid) { + clear(); + console.log("Calling websocket API to process PDF"); + console.log("Filename: ", fileNames); + console.log("Prompt: ", summaryPrompt); + if (backendType === "python") { + fileChanged(buildSummaryData(pdfFile as ArrayBuffer)); + } else { + sendToJavaBackend(file!, summaryPrompt); + } + setLoading(true); + } + }; + const clearSummarization = () => { + promptInputRef.current?.reset(); + setFileNames(null); + clear(); + setLoading(false); + }; + + return ( + <> + + +
    +

    Document Summarization

    +
    Upload a PDF/TXT file
    + + + {backendType === "python" && ( + + )} + + {invalidFiles.current.length !== 1 && fileNames && ( + <> +
    + File: + {fileNames} +
    + + + + + + )} + {invalidFiles.current.length !== 1 && fileNames && loading && ( + <> +
    Loading summary
    + + + )} + {invalidFiles.current.length !== 1 && fileNames && summary && ( +
    + +
    + )} +
    + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/content/websocket-interface.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/content/websocket-interface.tsx new file mode 100644 index 00000000..08c70e47 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/content/websocket-interface.tsx @@ -0,0 +1,78 @@ +import "preact"; + +const gateway = `ws://${window.location.hostname}:1986`; +let sockTimer: any = null; + +export const initWebSocket = ( + setSummaryResults: any, + setBusy: any, + setUpdate: any, + messagesDP: any, + socket: any, + chatData: any +) => { + // const [connState, setConnState] = useState("Disconnected"); + console.log("Trying to open a WebSocket connection..."); + socket.current = new WebSocket(gateway); + socket.current.binaryType = "arraybuffer"; + + // handle all messages coming from the websocket service + const onMessage = (event: any) => { + const msg = JSON.parse(event.data); + + switch (msg.msgType) { + // switch (Object.keys(msg)[0]) { + case "message": + console.log("message: ", msg.data); + return msg.data; + case "question": + console.log("question: ", msg.data); + return msg.data; + case "summary": + console.log("summary: ", msg.data); + setSummaryResults(msg.data); + return; + case "answer": + console.log("answer: ", msg.data); + if (msg.data !== "connected") { + let tempArray = [...chatData.current]; + // remove the animation item before adding answer + setBusy(false); + tempArray.pop(); + messagesDP.current.data = []; + tempArray.push({ + id: tempArray.length as number, + answer: msg.data, + }); + chatData.current = tempArray; + setUpdate(chatData.current); + } + return msg.data; + default: + return "unknown"; + } + }; + + const onOpen = () => { + clearInterval(sockTimer); + console.log("Connection opened"); + socket.current?.send(JSON.stringify({ msgType: "message", data: "connected" })); + //setConnState("Connected"); + }; + + // if the connection is lost, wait one minute and try again. + const onError = () => { + //sockTimer = setInterval(initWebSocket, 1000 * 60); + }; + function onClose() { + console.log("Connection closed"); + //setConnState("Disconnected"); + socket.current ? (socket.current.onclose = () => {}) : null; + socket.current?.close(); + } + + socket.current.onopen = onOpen; + socket.current.onerror = onError; + socket.current.onclose = onClose; + socket.current.onmessage = onMessage; +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/header.tsx b/apps/oci-generative-ai-jet-ui/app/src/components/header.tsx new file mode 100644 index 00000000..f0f9b484 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/header.tsx @@ -0,0 +1,42 @@ +import "preact"; +import { useRef, useState, useEffect } from "preact/hooks"; +import * as ResponsiveUtils from "ojs/ojresponsiveutils"; +import "ojs/ojbutton"; + +type Props = Readonly<{ + appName: string; +}>; + +export const Header = (props: Props) => { + const mediaQueryRef = useRef( + window.matchMedia(ResponsiveUtils.getFrameworkQuery("sm-only")!) + ); + + const [isSmallWidth, setIsSmallWidth] = useState(mediaQueryRef.current.matches); + + useEffect(() => { + mediaQueryRef.current.addEventListener("change", handleMediaQueryChange); + return () => mediaQueryRef.current.removeEventListener("change", handleMediaQueryChange); + }, [mediaQueryRef]); + + const handleMediaQueryChange = (e: MediaQueryListEvent) => { + setIsSmallWidth(e.matches); + }; + + return ( + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/component.json b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/component.json new file mode 100644 index 00000000..3f74bd8d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/component.json @@ -0,0 +1,14 @@ +{ + "name": "md-wrapper", + "version": "1.0.0", + "jetVersion": "^15.0.0", + "displayName": "Wrapper component for markdown viewer", + "dependencies": { + "oj-sample-markdown-viewer": "^9.0.0" + }, + "properties": { + "markdown": { + "type": "string" + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/loader.js b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/loader.js new file mode 100644 index 00000000..c18e3a5d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/loader.js @@ -0,0 +1,19 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +define([ + "ojs/ojcomposite", + "text!./md-wrapper-view.html", + "./md-wrapper-viewModel", + "text!./component.json", + "css!./md-wrapper-styles.css", +], function (Composite, view, viewModel, metadata) { + Composite.register("md-wrapper", { + view: view, + viewModel: viewModel, + metadata: JSON.parse(metadata), + }); +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-styles.css b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-styles.css new file mode 100644 index 00000000..dcedb4b6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-styles.css @@ -0,0 +1,22 @@ +/* This file is where css selectors for the component go. + There will be hard coded properties and properties controlled by variables, for example + + md-wrapper .md-wrapper-value-text { + color: var(--md-wrapper-value-text-color); + display: inline-block; + } +*/ + +md-wrapper:not(.oj-complete){ + visibility: hidden; +} + +md-wrapper{ + min-height: 50px; + width: 50px; +} + +md-wrapper[hidden] +{ + display: none; +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-view.html b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-view.html new file mode 100644 index 00000000..c51ea2a6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-view.html @@ -0,0 +1,7 @@ + + diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-viewModel.js b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-viewModel.js new file mode 100644 index 00000000..e17418dc --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/md-wrapper-viewModel.js @@ -0,0 +1,21 @@ +/** + Copyright (c) 2015, 2023, Oracle and/or its affiliates. + Licensed under The Universal Permissive License (UPL), Version 1.0 + as shown at https://oss.oracle.com/licenses/upl/ + +*/ +"use strict"; +define([ + "knockout", + "ojs/ojcontext", + "ojs/ojknockout", + "oj-sample/markdown-viewer/loader", +], function (ko, Context) { + function MdWrapper(context) { + var self = this; + self.composite = context.element; + self.properties = context.properties; + } + + return MdWrapper; +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/types/loader.d.ts b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/types/loader.d.ts new file mode 100644 index 00000000..c789ff95 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/md-wrapper/types/loader.d.ts @@ -0,0 +1,9 @@ +declare global { + namespace preact.JSX { + interface IntrinsicElements { + "md-wrapper": any; + } + } +} + +export {}; diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/LICENSE.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/LICENSE.txt new file mode 100644 index 00000000..de4b14f7 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/LICENSE.txt @@ -0,0 +1,16 @@ +Copyright (c) 2024 Oracle and/or its affiliates. All rights reserved. +The Universal Permissive License (UPL), Version 1.0 + +Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both + +(a) the Software, and + +(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), + +without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. + +This license is subject to the following condition: + +The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/README.md b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/README.md new file mode 100644 index 00000000..a2069d89 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/README.md @@ -0,0 +1,5 @@ +# Marked Reference Component + +This component provides reference information for the Marked library which is used to render Markdown (md) documents in HTML + +For more information and documentation see [Marked on GITHub](https://github.com/markedjs/marked) diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt new file mode 100644 index 00000000..8272c0e4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt @@ -0,0 +1,38 @@ +# License information + +## Marked + +Copyright (c) 2018+, MarkedJS (https://github.com/markedjs/) +Copyright (c) 2011-2018, Christopher Jeffrey (https://github.com/chjj/) + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. + +## Markdown + +Copyright © 2004, John Gruber +http://daringfireball.net/ +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. +* Neither the name “Markdown” nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/component.json b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/component.json new file mode 100644 index 00000000..8c3f761f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/component.json @@ -0,0 +1,30 @@ +{ + "name": "oj-ref-marked", + "displayName": "Marked reference component", + "description": "Reference component for the marked library used for viewing documents in Markdown format ", + "type": "reference", + "package": "marked", + "version": "4.3.0", + "license": "https://opensource.org/licenses/MIT", + "paths": { + "npm": { + "min": "marked.min", + "debug": "marked.min" + }, + "cdn": { + "min": "https://static.oracle.com/cdn/jet/packs/3rdparty/marked/4.3.0/marked.min", + "debug": "https://static.oracle.com/cdn/jet/packs/3rdparty/marked/4.3.0/marked.min" + } + }, + "extension": { + "oracle": { + "businessApprovals": { + "marked": "142506" + } + }, + "catalog": { + "category": "Reference", + "coverImage": "marked.svg" + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/marked.svg b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/marked.svg new file mode 100644 index 00000000..3bf43439 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-ref-marked/marked.svg @@ -0,0 +1 @@ + diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/CHANGELOG.md b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/CHANGELOG.md new file mode 100644 index 00000000..6680337b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/CHANGELOG.md @@ -0,0 +1,175 @@ +# Change Log for oj-sample JET pack + +## Version 9.0.0 + +- Upgrade to JET 15 base +- Terminal release of the sample component set - no further updates will be issued + +## Version 8.0.0 + +- Upgrade to JET 14 base +- Deprecation of oj-sample-calendar, oj-sample-calendar-provider and oj-sample-calendar-event in favor of the supported component oj-sp-calendar +- Deprecation of oj-sample-organization-tree & oj-sample-organization-tree-item +- Removal of the deprecated oj-sample-pull-to-refresh which was replaced by oj-refresher in JET 5.1.0 + +## Version 7.0.0 + +- Upgrade to JET 13 base +- Deprecation of oj-sample-drawer +- The contextMenu slot on oj-sample-checkbox-switch is now a no-op + +## Version 6.0.1 + +- Address design time issue with oj-sample-timed-event in Visual Builder + +## Version 6.0.0 + +- Upgrade to JET 12 base +- Bump in support range to ">=10.0.0 <13.0.0" + +## Version 5.0.7 + +- Documentation and descriptive metadata clean up + +## Version 5.0.6 + +- Bundling fixes + +## Version 5.0.5 + +- Bug fixes in oj-sample-export-data and associated shared code update +- Updated implementations of oj-sample-copy-text and oj-sample-visualization-exporter for better Redwood compatibility + +## Version 5.0.4 + +- Public JET 11 release + +## Version 5.0.3 + +- Internal release version + +## Version 5.0.0 + +- Migration of the implementation of oj-sample-markdown-viewer to use the Marked library rather than Showdown. +- Various README formatting corrections +- Upgrade of overall supported JET version ranges to >= 9 <12 + +## Version 4.0.7 + +- Improve metadata to add implements and preferredContent throughout the pack + +## Version 4.0.6 + +- Introduce packaged audits + +## Version 4.0.5 + +- Introduce optimized bundles and CDN support + +## Version 4.0.0 + +- Update for JET 10 compatibility +- JET minimum version increased to > 8.0.0 +- Deprecation of oj-sample-pull-to-refresh in favor of oj-refresher +- Deprecation of oj-sample-highlight-text in favor of oj-highlight-text + +## Version 3.2.4 + +- Update to downstream dependencies of calendar + +## Version 3.2.3 + +- Minification packaging changes + +## Version 3.2.2 + +- Documentation updates + +## Version 3.2.1 + +- New icons for design time representation of the components +- Update chroming options on export components to be JET 8+ compatible + +## Version 3.2.0 + +- Update across the pack for JET 9 support +- Addition of locale support to oj-sample-calendar +- Addition of keyboard selection support to oj-sample-metric +- Form embedding support for the Redwood Design system, ensuring that form components such as input-email display correctly +- Bug fix in design time of oj-sample-export-data to allow editing of selected columns through the property inspector + +## Version 3.1.4 + +- Fix up of badly formed HTML in metric, show-when-ready and organization-tree-item +- Changes to minimum sizing for oj-sample-metric + +## Version 3.1.3 + +- Bugfix for show-when-ready display of children + +## Version 3.1.1 + +- Documentation improvements for pull-to-refresh + +## Version 3.1.0 + +- oj-sample-input-url, oj-sample-input-email relocated from the oj-ext pack + +## Version 3.0.0 + +- Expansion of JET support range to include JET 8 +- Bug fixes to various components +- oj-sample-export-data, oj-sample-checkbox-switch, oj-sample-metric relocated from the oj-ext pack +- oj-sample-online-detector, oj-sample-orientation-detector and oj-sample-pull-to-refresh relocated from the oj-sample-mobile pack + +## Version 2.3.1 + +- Visual Builder property inspector improvements for oj-sample-highlight-text +- Visual Builder design time improvements for oj-sample-tooltip + +## Version 2.3.0 + +- Added new oj-sample-input-text-typeahead component for use on search-as-you-type style screens +- Fixed documentation error in highlight-text component where a hyphen was missing from one of the code samples +- Fixed problem with the property inspector for the tooltip component not showing correctly in Oracle Visual Builder + +## Version 2.2.0 + +- Addition of the new oj-sample-highlight-text component +- Minor improvements to oj-sample-country-picker and oj-sample-tooltip + +## Version 2.1.0 + +- Addition of the new oj-sample-tooltip component + +## Version 2.0.3 + +- Expansion of JET-compatibility version ranges on components +- Bug fix for show-when-ready content not being interactive if state toggles more than once +- Bug fix for calendar to ensure that it refreshes if it is associated with a Data Provider that raises a change event + +## Version 2.0.2 + +- Image updates for org tree + +## Version 2.0.1 + +- Minor metadata cleanup + +## Version 2.0.0 + +- Update to support JET 7.0.0 + +## Version 1.1.0 + +- Update baseline to JET 6.2.0 and replace use of deprecated JET APIs +- New oj-sample-organization-tree component added to the pack +- Race condition fix in show-when-ready when external state flag is toggled rapidly + +## 1.0.1 + +- Bug fixes in oj-sample-drawer + +## 1.0.0 + +- Initial release diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/LICENSE.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/LICENSE.txt new file mode 100644 index 00000000..fd99e81b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/LICENSE.txt @@ -0,0 +1,20 @@ +Copyright (c) 2019,2023 Oracle and/or its affiliates. All rights reserved. +The Universal Permissive License (UPL), Version 1.0 + +Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both + +(a) the Software, and + +(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), + +without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. + +This license is subject to the following condition: + +The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +Support Information: +-------------------- +This component is an unsupported sample for demonstration purposes only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/README.md b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/README.md new file mode 100644 index 00000000..0915491c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/README.md @@ -0,0 +1,15 @@ +# OJ-SAMPLE Component Set + +## Support Notice + +> December 2023: **This sample component set has been retired and will no longer be updated.** +> +> If you want to take a copy of this code for your own use see [Viewing the Source Code for the oj-sample Components](https://blogs.oracle.com/groundside/post/viewing-the-source-code-for-the-oj-sample-components) + +--- + +The oj-sample JET Pack defines a set of re-usable JET components for Oracle JET and Visual Builder applications to use + +## Support Information + +This component is an unsupported sample for demonstration purposes only. If you encounter any problems feel free to report them via the Oracle forums and we will do our best to address them, however, note that this will be on a best-effort basis only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/SUPPORT.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/SUPPORT.txt new file mode 100644 index 00000000..7e1e1e16 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/SUPPORT.txt @@ -0,0 +1 @@ +This component is an unsupported sample for demonstration purposes only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/component.json b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/component.json new file mode 100644 index 00000000..536bd112 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/component.json @@ -0,0 +1,28 @@ +{ + "name": "oj-sample", + "displayName": "oj-sample JET Pack", + "type": "pack", + "version": "9.0.0", + "jetVersion": ">=13.0.0 <17.0.0", + "description": "Consolidating JET Pack for a set of example components for use in JET and Visual Builder", + "license": "https://opensource.org/licenses/UPL", + "dependencies": { + "oj-sample-markdown-viewer": "9.0.0" + }, + "bundles": {}, + "paths": { + "cdn": { + "debug": "https://static.oracle.com/cdn/jet/packs/oj-sample/9.0.0", + "min": "https://static.oracle.com/cdn/jet/packs/oj-sample/9.0.0/min" + } + }, + "extension": { + "vbdt": { + "audits": "oj-sample-audits" + }, + "catalog": { + "category": "Sample Components", + "coverImage": "coverimage.jpg" + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/coverimage.jpg b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/coverimage.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bfd3fb7db04e654e27f50216ef23e774902ed7bc GIT binary patch literal 20657 zcmeIZ1y~%-wl>;>J0VDLCs=R>hY1ig!QI_`aJK{kArM@G1a}SY1Pzej5FilT-GkmC z-}mM0^WU@2*=L{o-2Z>>-9@_loz<(V)~a4>>aFU@-M701;DM~9j3fX80f02@54c+d zS|vQJ%mF}74qyTR00lq>Jp|xk2n72BK*RvzFAM<2Ad=tM8pQCY4jfE}1Av_Y9M}N` zasI-1F#Iyq3PAX?ZW8QzUtm4nxBACb(aOWj*3QVq0ZPfm%E!tH0G#X``~vLU0-W5G z9NhPSix&XkKEVCe4xHu(_`fjd$$f)&i>N1-E-sD&Y;5+HM%Pzrenc-T4GnYkEIdf3_8I}3OSQ~zpQ0EX|yY}Ay$R9tL?sWs&kDa9S2W|Ux7 zZdP_`SZ%1Oxq$LB$v^ADJ_%F*X{5WmJF7bvs{_=6jf0<`pN*Z9jgylFrorOuY42j> z!D8=B^H&Sc%$!Z2R*o)K4)&DyEgBg+xVi{a!+QS1Bs<67&HjhJ|D|YZ@>|c*6>9sd zb5j#GGg~t|GkX_j*f??AyJP1lAm?CeW$yXR$i+;U`u?cd#CyLaes9K2V!7r{pD9{wJF z5z2p+e~rMuM&Mr~@UId0*9iP;1pfaw0{=$f%0J9`(XvXmI5rj|A(@)C@xVgslEF+gWz;_N7@sQBW(&A+a{+W&nzoBYLV zfiaf*wtkEMF@R$VV|p-RtO!##Hgz_!gW+n}@zul;>H+}pFJW>TcNfQdTmZv(P?&)* z+TYW zVq$4z3d3}YG``Rl{~ zlP5b{SJ-&{D%7wuh9y*58FqaP8?yo%hv&bsy|KK)Uvev$M}J{US827su!*xcY%Kq% zYijiD`Cr)8MosiDYy^d&KXt5JWbVi7S6@&E<=^ew+sfa^$1l01napo&<}9J|m)zV+ zQsyu0WvQz17k0B!m;Vbp+o=4u!OK$ow;bxK{M%-8sN`=S?VMpX|LoVq=->Ksu~fZZ zZT+&x%vtldJ*H;QB!0{7)qdON=py#JO-I{bvHnM0TdCi2XE&AKbzPvUzvb3OviGt3 zOW)B&@%Q)us(>Zn3fKdtfEfSlVbA|Q9VqX$ z0KkX_026RX9C3 z3pgh@FSwU*k#I?HS#TwAwQwD918@^?3vk!Gok>Z45B8Y1)@7*2x04F)FS%}$*IgfdPg^R_CC4*&(<&X6qs}^e%YY!V0n+{tPTOZpC zI|2J6_7L{Y1JnnPABaCNdf@lq{ey-FQx8sYaB(N9Tkjgii_02*U}>2`30Ii71IA zh-`?WiRy^vh!KdHh?R)liPMR@iFZiwNCZhtNWw{~NM=akNSR2LNxez4Ne4+!$;ip1 z$Q;R%$vVk)$O*`wl3SCQs7dEP*_pKQM6HPQQ}jIQrc1`QFc)tP?1teQ@K)Q zQhlYmqNb--qYk1jr=Fuhqv4}5r-`HaL~}q(K`Te=Lt9KcLx)PoM`uZwNY_hu{+Rx; z#^cb(b&ogb3F&3%z37YSzcXMmKp31DvKYo0kr??HZ5Y!Shne7*z)Y4*@0o^};h1@t zt(eo8N1h-);eTTPBkHN();iWbHd;1qwrI9qwp(^EyDfVT z`z*&p4q1*Mjz*3nP9{zh&i9<-T$o&vT>f13T!-Au+-BVA+~2^sU^#Fo_!IbshnEM+ zQ^vE&OUrA>o60-IhsUSL7s1!ZkH{~^@6X@N|5JcRz(t@+U|*0$&_=LGa6^b*$V@0l zXjzzA*hn~2ctM0x#8Bje$O424Vg$*8EIp-pYWg(q>AEPRsI_Q`=$;t67*woA>|9(x z+*iE)8T>P;XW`GjN<5TMlSq-6m!y`okSvxwkOE72OSMZQN#7&3pKCnRh|yTkWYhH39MB@x zveK&8M%Gr>&eJ~Ck4_-Ke|s9{)Scx|L$ zlx1{kEMuH%d|)DOl4!DR`qVVebkj`OEXHizT-ZFue8WQ6BGzKl5@MNPxnm`6m11>h zEp44)eQu**lW%ipt6^Jihhk@F*I@t9-p0Pmf!x8vVZ@QyF~o7fNx&)I=>Ym1n&%91 z)^o0R!Gn>XL01OXSFVe0B5v>9F5K1KKYHMJ*n13mGI@r1u6s#(<$5D{n|Ocnq4Ejz zS@ae4&GZBL8T)~%Yc{5ucTfThhT+3 zL#9FnLo;3@ytaD%HH<4PIqWvvG`#-}``lm#S@kO4(Xl! 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Supported versions of JET for this version are now JET 13 through 15 +- This is the terminal release of this sample component - no further updates will be issued + +## Version 8.0.0 + +- Upgrade to JET 14 base. Supported versions of JET for this version are now JET 12 through 14 +- Upgrade markdown processing library to marked 4.3.0 +- Remove the deprecated _ghost_ option for the flavor property + +## Version 7.0.0 + +- Upgrade to JET 13 base. Supported versions of JET for this version are now JET 11 through 13 + +## Version 6.0.1 + +- Provision of type definition to improve design time experience for consumers using TypeScript and virtual DOM + +## Version 6.0.0 + +- Upgrade to a JET 12 base +- Bump in support range to >=10.0.0 <13.0.0 + +## Version 5.0.2 + +- Documentation and descriptive metadata clean up + +## Version 5.0.1 + +- Code clean up + +## Version 5.0.0 + +- Update of supported JET version range to >=9.0.0 <12.0.0 +- Introduction of the new html-rendering property to provide more control over how the generated HTML markup is styled + +## Version 4.0.0 + +- Switch to the marked library (MIT licence) for markdown interpretation from Showdown +- Removal of support for ghost variant (vanilla will be used instead) + +## Version 3.0.1 + +- Design time metadata improvements + +## Version 3.0.0 + +- Update JET compatibility range to include JET 10 +- Set minimum JET support version to 8.0.0 + +## Version 2.2.2 + +- Minification packaging into distribution + +## Version 2.2.1 + +- New icon for design time + +## Version 2.2.0 + +- Expansion of JET support range to include JET 9 + +## Version 2.1.0 + +- Expansion of JET support range to include JET 8 + +## Version 2.0.1 + +- Expansion of JET support range to include version from 6.1.0 upwards + +## Version 2.0.0 + +- Update to support JET 7.0.0 + +## Version 1.1.0 + +- Update baseline to JET 6.2.0 and replace use of deprecated JET APIs + +## 1.0.0 + +- Initial release diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/LICENSE.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/LICENSE.txt new file mode 100644 index 00000000..2285dc45 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/LICENSE.txt @@ -0,0 +1,20 @@ +Copyright (c) 2018, 2023 Oracle and/or its affiliates. All rights reserved. +The Universal Permissive License (UPL), Version 1.0 + +Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both + +(a) the Software, and + +(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), + +without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. + +This license is subject to the following condition: + +The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +Support Information: +-------------------- +This component is an unsupported sample for demonstration purposes only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/README.md b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/README.md new file mode 100644 index 00000000..e523b490 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/README.md @@ -0,0 +1,62 @@ +# Markdown Document Viewer Component + +## Support Notice + +> December 2023: **This sample component has been retired and will no longer be updated.** +> +> If you want to take a copy of this code for your own use see [Viewing the Source Code for the oj-sample Components](https://blogs.oracle.com/groundside/post/viewing-the-source-code-for-the-oj-sample-components) + +--- + +The **``** provides a simple viewer which will take a string as a value and interprets markdown formatting for display. + +The component supports interpreting markdown in several variants including the [GitHub Flavor of Markdown](https://help.github.com/articles/basic-writing-and-formatting-syntax/). This is controlled via the **flavor** property. + +## Example + +A sample markdown file might look a little like this + +> \# Title +> \## Subtitle +> Normal paragraph text +> \* Bullet Point 1 +> \* Bullet Point 2 +> \* Bullet Point 3 +> And a code block +> \`\`\` JavaScript +> var self = this; +> \`\`\` + +Assuming the above file had been sucked into a JavaScript variable called markupToDisplay then the component would +simply look like this + +```JavaScript + +``` + +And the result in the UI would be: + +> # Title +> +> ## Subtitle +> +> Normal paragraph text +> +> - Bullet Point 1 +> - Bullet Point 2 +> - Bullet Point 3 +> And a code block +> +> ```JavaScript +> var self = this; +> ``` + +## Notes + +1. The **value** property is read-only. +2. Because markdown is a very flexible format it can be used to embed undesirable content into your page. If you are receiving the markdown string from an unknown source (such as an uploaded file) you must be careful to sanitize the HTML created by the conversion process in order to remove unwanted HTML or injected JavaScript. The output-filter function callback is provided for you to do so. This function should take a string containing the candidate HTML output and should return a promise to the sanitized version. +3. This Custom Web Component uses a 3rd party library to manage the markdown conversion process. Currently this is [Marked 4.3.0](https://github.com/markedjs/marked) + +## Support Information + +This component is an unsupported sample for demonstration purposes only. If you encounter any problems feel free to report them via the Oracle forums and we will do our best to address them, however, note that this will be on a best-effort basis only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt new file mode 100644 index 00000000..7e1e1e16 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt @@ -0,0 +1 @@ +This component is an unsupported sample for demonstration purposes only. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt new file mode 100644 index 00000000..6f0ef244 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt @@ -0,0 +1,36 @@ +## Marked + +Copyright (c) 2018+, MarkedJS (https://github.com/markedjs/) +Copyright (c) 2011-2018, Christopher Jeffrey (https://github.com/chjj/) + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. + +## Markdown + +Copyright © 2004, John Gruber +http://daringfireball.net/ +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. +* Neither the name “Markdown” nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/component.json b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/component.json new file mode 100644 index 00000000..9eccb58a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/component.json @@ -0,0 +1,71 @@ +{ + "name": "markdown-viewer", + "pack": "oj-sample", + "type": "composite", + "implements": ["SampleMarkdownViewer"], + "status": [ + { + "type": "deprecated", + "since": "9.0.0", + "description": "The sample component set has reached end of life and will not be updated" + } + ], + "displayName": "Markdown Document Viewer", + "description": "A component which interprets and displays strings in the GITHub version of markdown (.md) format", + "version": "9.0.0", + "license": "https://opensource.org/licenses/UPL", + "jetVersion": ">=13.0.0 <16.0.0", + "dependencies": { "oj-ref-marked": "^4.3.0" }, + "icon": { + "iconPath": "extension/images/cca-markdown-viewer.svg", + "selectedIconPath": "extension/images/cca-markdown-viewer.svg", + "hoverIconPath": "extension/images/cca-markdown-viewer.svg" + }, + "properties": { + "value": { + "displayName": "Markdown", + "description": "String in markdown format to be converted for display (Required)", + "type": "string", + "propertyGroup": "data", + "extension": { "vbdt": { "placeholderValue": "Markdown content" } } + }, + "flavor": { + "displayName": "Markdown Variant", + "description": "Select one of the sub-dialects of markdown to support", + "value": "vanilla", + "type": "string", + "enumValues": ["vanilla", "github"], + "propertyGroup": "common" + }, + "outputFilter": { + "displayName": "Output Filter Function", + "description": "Callback function which you can define to sanitize the HTML output generated for the viewer. This function should return a promise to the sanitized HTML string", + "type": "function(string):promise" + }, + "htmlRendering": { + "displayName": "HTML Rendering", + "description": "Provides additional control over styling such as header sizes in rendered markdown", + "value": "legacy", + "type": "string", + "enumValues": ["legacy", "inherit", "redwood"], + "propertyEditorValues": { + "legacy": { + "description": "Provides some minor override formatting for lists and pre elements" + }, + "inherit": { "description": "Pick up all HTML styles from the application" }, + "redwood": { + "description": "Optimized header sizing for when the application is running in the Redwood theme" + } + }, + "propertyGroup": "common" + } + }, + "extension": { + "oracle": { "businessApprovals": { "marked": "142506" } }, + "catalog": { + "category": "Sample Components", + "tags": ["markdown"], + "coverImage": "extension/images/cca-markdown-viewer.svg" + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg new file mode 100644 index 00000000..4381687b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg @@ -0,0 +1,12 @@ + + + + cca-markdown-viewer + Created with Sketch. + + + + + + + diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js new file mode 100644 index 00000000..1d09d546 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js @@ -0,0 +1,41 @@ +/* + Copyright (c) 2017, 2019, Oracle and/or its affiliates. + The Universal Permissive License (UPL), Version 1.0 + */ +/* + * QUnit Tests for Markdown Viewer + */ +"use strict"; +define([ + "ojs/ojcontext", + "knockout", + "oj-sample/markdown-viewer/extension/tests/viewModels/testModel", + "text!oj-sample/markdown-viewer/extension/tests/views/test.html", +], function (Context, ko, TestModel, testMarkup) { + QUnit.module("markdown-viewer:properties"); + QUnit.test("Default properties test", function (assert) { + //insert the testing DOM structure + var insertSite = document.getElementById("qunit-fixture"); + var template = document.createElement("template"); + template.innerHTML = testMarkup; + insertSite.appendChild(template.content); + var done = assert.async(); + assert.expect(1); + + require(["oj-sample/markdown-viewer/loader"], function () { + var componentDom = document.getElementById("oj-sample-markdown-viewer-tests"); + var testModel = new TestModel(); + var busyContext = Context.getContext(componentDom).getBusyContext(); + ko.applyBindings(testModel, componentDom); + + busyContext.whenReady().then(function () { + //did it instantiate? + var ccaElement = document.getElementById("demoMarkdown"); + var flavor = ccaElement.getProperty("flavor"); + + assert.ok(flavor === "vanilla", 'Default markdown flavor is: \"vanilla\"'); + done(); + }); + }); + }); +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js new file mode 100644 index 00000000..58960ca5 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js @@ -0,0 +1,12 @@ +/** + * Copyright (c) 2017, 2019, Oracle and/or its affiliates. + * The Universal Permissive License (UPL), Version 1.0 + * Markdown Viewer Test Model + */ +define(["knockout"], function (ko) { + "use strict"; + + function markdownTestViewModel() {} + + return markdownTestViewModel; +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html new file mode 100644 index 00000000..412aac4c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html @@ -0,0 +1,10 @@ +
    + +
    + +
    +
    diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/loader.js b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/loader.js new file mode 100644 index 00000000..9d0a4971 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/loader.js @@ -0,0 +1,17 @@ +/** + Copyright (c) 2017, 2023, Oracle and/or its affiliates. + The Universal Permissive License (UPL), Version 1.0 +*/ +define([ + "ojs/ojcomposite", + "text!./markdown-viewer-view.html", + "./markdown-viewer-viewModel", + "text!./component.json", + "css!./markdown-viewer-styles", +], function (Composite, view, viewModel, metadata) { + Composite.register("oj-sample-markdown-viewer", { + view: view, + viewModel: viewModel, + metadata: JSON.parse(metadata), + }); +}); diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css new file mode 100644 index 00000000..f22a0c99 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css @@ -0,0 +1,83 @@ +oj-sample-markdown-viewer:not(.oj-complete){ + visibility: hidden; +} + +oj-sample-markdown-viewer{ + display:inline; +} + +oj-sample-markdown-viewer .legacyStyling blockquote { + border-left: 5px solid #DCE3E4; + background:#fcfcfc; + margin: 10px; + padding: 10px; +} + +oj-sample-markdown-viewer .legacyStyling blockquote p { + display: inline; +} + +oj-sample-markdown-viewer .legacyStyling pre { + background:#fcfcfc; + margin: 10px; + padding: 10px; +} + +oj-sample-markdown-viewer .legacyStyling table { + border-collapse: collapse; + text-align:left; + padding-right: 0.5em; + padding-left: 0.5em; + border: 1px solid #8DA6B1; +} + +oj-sample-markdown-viewer .legacyStyling th { + text-align:left; + padding-right: 0.5em; + padding-left: 0.5em; + border: 1px solid #8DA6B1; +} + +oj-sample-markdown-viewer .legacyStyling td { + text-align:left; + padding-right: 0.5em; + padding-left: 0.5em; + border: 1px solid #8DA6B1; + vertical-align: top; +} + +oj-sample-markdown-viewer .redwoodStyling h1 { + font-size: 1.75rem; + font-weight: 700; + line-height: 1.2857; +} + +oj-sample-markdown-viewer .redwoodStyling h2 { + font-size: 1.5rem; + font-weight: 700; + line-height: 1.3333; +} + +oj-sample-markdown-viewer .redwoodStyling h3 { + font-size: 1.25rem; + font-weight: 700; + line-height: 1.4; +} + +oj-sample-markdown-viewer .redwoodStyling h4 { + font-size: 1rem; + font-weight: 700; + line-height: 1.5; +} + +oj-sample-markdown-viewer .redwoodStyling h5 { + font-size: 0.9167rem; + font-weight: 600; + line-height: 1.4; +} + +oj-sample-markdown-viewer .redwoodStyling h6 { + font-size: 0.8333rem; + font-weight: 600; + line-height: 1.4; +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html new file mode 100644 index 00000000..9beb47fc --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html @@ -0,0 +1,10 @@ + + +
    +     diff --git a/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js new file mode 100644 index 00000000..a48d04cb --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js @@ -0,0 +1,119 @@ +/** + Copyright (c) 2017, 2023, Oracle and/or its affiliates. + The Universal Permissive License (UPL), Version 1.0 +*/ +define([ + "ojs/ojcontext", + "ojs/ojlogger", + "knockout", + "ojL10n!./resources/nls/markdown-viewer-strings", + "marked", + "./lib/markdownCleaner", +], function (Context, Logger, ko, componentStrings, marked, cleaner) { + "use strict"; + function MarkdownViewerComponentModel(context) { + var self = this; + self.composite = context.element; + self.res = componentStrings.ojsampleMarkdownViewer; + + self.contentSubId = context.uniqueId + "_content"; //NOTRANS + + self.inputValue = ko.observable(); + self.isContent = ko.observable(false); + + self.applyRedwoodStyling = ko.observable( + context.properties.htmlRendering.toLowerCase() === "redwood" + ); + self.applyLegacyStyling = ko.observable( + ["legacy", "redwood"].includes(context.properties.htmlRendering.toLowerCase()) + ); + + self.converter = marked; + self.converter.setOptions({ gfm: context.properties.flavor === "github" }); + + self.doFilter = false; + self.loggingIdentity = "oj-sample-markdown-viewer (" + context.uniqueId + "): "; //NOTRANS + + self.properties = context.properties; + if (self.properties.outputFilter !== undefined) { + self.doFilter = true; + } + } + + /* + * Standard bindingsApplied lifecycle callback - this is used to carry out the initial conversion by + * creating the computed value that is actually injected into the iFrame + * @param {object} context + * @ignore + */ + MarkdownViewerComponentModel.prototype.bindingsApplied = function (context) { + var self = this; + self.markdownValue = ko.computed(function () { + //Markdown processing could take some time so we set the busyContext to + //allow tests to understand this + var busyContext = Context.getContext(context.element).getBusyContext(); + var options = { description: "Processing of markdown content" }; //NOTRANS + var busyResolve = busyContext.addBusyState(options); + if (self.inputValue() !== undefined && self.inputValue().length > 0) { + //Do a basics of prepping the md and stripping out + + + + + + + + + diff --git a/apps/oci-generative-ai-jet-ui/app/src/index.ts b/apps/oci-generative-ai-jet-ui/app/src/index.ts new file mode 100644 index 00000000..408ad63a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/index.ts @@ -0,0 +1,16 @@ +/** + * @license + * Copyright (c) 2014, 2023, Oracle and/or its affiliates. + * Licensed under The Universal Permissive License (UPL), Version 1.0 + * as shown at https://oss.oracle.com/licenses/upl/ + * @ignore + */ +import "./components/app"; + +declare global { + namespace preact.JSX { + interface IntrinsicElements { + "md-wrapper": any; + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/app/src/main.js b/apps/oci-generative-ai-jet-ui/app/src/main.js new file mode 100644 index 00000000..7cc50ec7 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/main.js @@ -0,0 +1,55 @@ +/** + * @license + * Copyright (c) 2014, 2023, Oracle and/or its affiliates. + * Licensed under The Universal Permissive License (UPL), Version 1.0 + * as shown at https://oss.oracle.com/licenses/upl/ + * @ignore + */ +"use strict"; + +/** + * Example of Require.js bootstrap javascript + */ + +(function () { + requirejs.config({ + // injector:baseUrl + baseUrl: ".", + // endinjector + paths: + /* DO NOT MODIFY + ** All paths are dynamically generated from the path_mappings.json file. + ** Add any new library dependencies in path_mappings json file + */ + // injector:mainReleasePaths + { + ojs: "libs/oj/15.1.0/debug", + ojL10n: "libs/oj/15.1.0/ojL10n", + ojtranslations: "libs/oj/15.1.0/resources", + knockout: "libs/knockout/knockout-3.5.1.debug", + jquery: "libs/jquery/jquery-3.6.4", + "jqueryui-amd": "libs/jquery/jqueryui-amd-1.13.2", + text: "libs/require/text", + hammerjs: "libs/hammer/hammer-2.0.8", + signals: "libs/js-signals/signals", + ojdnd: "libs/dnd-polyfill/dnd-polyfill-1.0.2", + css: "libs/require-css/css.min", + "css-builder": "libs/require-css/css-builder", + normalize: "libs/require-css/normalize", + "@oracle/oraclejet-preact": "libs/oraclejet-preact/amd", + preact: "libs/preact/dist/preact.umd", + "preact/hooks": "libs/preact/hooks/dist/hooks.umd", + "preact/compat": "libs/preact/compat/dist/compat.umd", + "preact/jsx-runtime": "libs/preact/jsx-runtime/dist/jsxRuntime.umd", + proj4: "libs/proj4js/dist/proj4-src", + touchr: "libs/touchr/touchr", + chai: "libs/chai/chai-4.3.7", + }, + // endinjector + }); +})(); + +/** + * Load the application's entry point file + */ +require(["./index"]); diff --git a/apps/oci-generative-ai-jet-ui/app/src/styles/app.css b/apps/oci-generative-ai-jet-ui/app/src/styles/app.css new file mode 100644 index 00000000..8132d9ba --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/app/src/styles/app.css @@ -0,0 +1,192 @@ +/* + Document : override + Created on : + Author : + Description: + This is where any of your application specific styles should be included +*/ + +:root { + --oj-sp-header-welcome-banner-background-color: rgb(98, 55, 31) !important; + --oj-sp-header-welcome-banner-background-color-darker-shade: rgb( + 98, + 55, + 31 + ) !important; + --oj-body-bg-color: rgb(var(--oj-palette-neutral-rgb-10)); +} + +body { + /* background-color: #4b3b2b; */ + --oj-current-bg-color: var(--oj-body-bg-color); + background-image: url("./images/ROC_bg_texture.png"); +} + +header.oj-web-applayout-header { + background-color: #3a3632; +} + +.oj-inputsearch-search-icon:before { + content: url("images/question2-black32x32.png"); + padding-top: 8px; + margin-left: -8px; +} + +oj-sample-markdown-viewer .legacyStyling pre { + color: black; + white-space:pre-wrap; + margin: unset; + +} +oj-sample-markdown-viewer .legacyStyling p { + margin-right: 10px; + +} + +.copy-to-clip-btn { + position: relative; + border-bottom-left-radius: 5px; + border-width: thin; + padding: 5px; + float: right; + top: -10px; + right: -10px; + border-top: none; + border-right: none; +} + +.demo-copy-paste { + user-select: text; +} + + +.demo-bg-main { + background-color: rgb(var(--oj-palette-neutral-rgb-10)); + box-shadow: var(--oj-core-box-shadow-md); + /* background-image: url("./images/carousel-bg.png"); */ +} + +.oj-sp-public-primary-content-container { + background-color: rgb(var(--oj-palette-neutral-rgb-10)); + box-shadow: var(--oj-core-box-shadow-md); +} + +code, +kbd, +samp { + font-family: monospace, monospace; + font-size: 1em; +} + +.demo-answer-layout { + min-height: 50px; + /* background-color: #506e23; */ + background-color: var(--oj-sp-header-welcome-banner-background-color); + display: inherit; + margin: 20px 10px 50px 10px; + border: 2px black; + border-radius: 10px; + padding: 10px; + text-align: start; + max-width: 1440px; +} + +.demo-answer-padding { + margin-top:65px; +} +.demo-sim-answer-layout { + min-height: 50px; + display: inherit; + margin: 20px 10px 50px 10px; + border: 2px black; + border-radius: 10px; + padding: 10px 10px 10px 65px; + text-align: end; + max-width: 1440px; +} +.demo-question-layout { + min-height: 50px; + /* background-color: #226b95; */ + background-color: var(--oj-sp-header-welcome-banner-background-color); + display: inherit; + margin: 20px 10px 10px 10px; + border: 2px black; + border-radius: 10px; + padding: 10px; + text-align: start; +} +.demo-sim-question-layout { + min-height: 50px; + display: inherit; + margin: 20px 10px 10px 10px; + border: 2px black; + border-radius: 10px; + padding: 10px; + text-align: start; +} + +.demo-chat-layout { + max-height: 100%; + height: 80%; + min-height: calc(100vh - 200px); +} + +.demo-no-data-layout { + height: 100%; + align-items: center; +} + +.demo-header { + background-color: var( + --oj-sp-header-welcome-banner-background-color + ) !important; + max-height: 150px; +} +.demo-header-end { + background-image: url(images/welcomeBanner-foreground2.png); + width: 600px; + justify-content: end; +} + +.demo-no-data-content { + /* background-image: url(images/welcomeBanner-foreground2.png); */ +} + +.demo-oracle-icon { + width: 137px; + height: 18px; +} + +.demo-oracle-icon:before { + content: url("images/oracle_logo.svg"); +} + +html:not([dir="rtl"]) .demo-oracle-icon { + padding-right: 4px; +} + +html[dir="rtl"] .demo-oracle-icon { + padding-left: 4px; +} + +.demo-oracle-icon:before { + display: inline; +} + +.demo-appheader-avatar { + width: 24px; + height: 24px; +} + +.demo-appheader-avatar:before { + content: url("images/avatar_24px.png"); +} +@media (-webkit-min-device-pixel-ratio: 1.5), + 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["./node_modules/@oracle/oraclejet-preact/*"], + "oj-c/*": ["./node_modules/@oracle/oraclejet-core-pack/oj-c/types/*"], + "preact": ["./node_modules/preact"], + "marked/*": ["./node_modules/marked/*"], + "oj-sample/*": ["./src/components/oj-sample/types/*"], + "md-wrapper": ["./src/components/md-wrapper/types/index"], + "stompjs": ["./node_modules/@stomp/stompjs/index"] + }, + "declaration": true, + "noEmitOnError": true, + "experimentalDecorators": true, + "skipLibCheck": true, + "removeComments": true + }, + "include": ["./src/**/*"] +} diff --git a/apps/oci-generative-ai-jet-ui/architecture.drawio b/apps/oci-generative-ai-jet-ui/architecture.drawio new file mode 100644 index 00000000..2adbfe68 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/architecture.drawio @@ -0,0 +1,889 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/apps/oci-generative-ai-jet-ui/backend/.dockerignore b/apps/oci-generative-ai-jet-ui/backend/.dockerignore new file mode 100644 index 00000000..e69de29b diff --git a/apps/oci-generative-ai-jet-ui/backend/Dockerfile b/apps/oci-generative-ai-jet-ui/backend/Dockerfile new file mode 100644 index 00000000..480e9e2d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/Dockerfile @@ -0,0 +1,15 @@ +FROM --platform=linux/amd64 container-registry.oracle.com/java/jdk-no-fee-term:21-oraclelinux8 as build + +RUN mkdir /opt/src +COPY . /opt/src +WORKDIR /opt/src +RUN ./gradlew clean bootJar + +FROM --platform=linux/amd64 container-registry.oracle.com/java/jdk-no-fee-term:21-oraclelinux8 + +VOLUME /tmp +COPY --from=build /opt/src/build/libs/*.jar /tmp/ +RUN mkdir /app +RUN mv /tmp/backend*.jar /app/backend.jar + +ENTRYPOINT ["java","-jar","/app/backend.jar"] diff --git a/apps/oci-generative-ai-jet-ui/backend/build.gradle b/apps/oci-generative-ai-jet-ui/backend/build.gradle new file mode 100644 index 00000000..49b6af1b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/build.gradle @@ -0,0 +1,40 @@ +plugins { + id 'java' + id 'org.springframework.boot' version '3.2.2' + id 'io.spring.dependency-management' version '1.1.4' +} + +group = 'dev.victormartin.oci.genai.backend' +version = '0.0.6' + +java { + sourceCompatibility = '17' +} + +repositories { + mavenCentral() +} + +dependencies { + implementation 'org.springframework.boot:spring-boot-starter-data-jpa' + implementation 'org.springframework.boot:spring-boot-starter-data-rest' + implementation 'org.springframework.boot:spring-boot-starter-websocket' + implementation 'org.springframework.boot:spring-boot-starter-actuator' + implementation 'org.netbeans.external:org-apache-commons-io:RELEASE113' + implementation 'com.oracle.oci.sdk:oci-java-sdk-shaded-full:3.52.1' + implementation 'com.oracle.oci.sdk:oci-java-sdk-core:3.52.1' + implementation 'com.oracle.oci.sdk:oci-java-sdk-common:3.52.1' + implementation 'com.oracle.oci.sdk:oci-java-sdk-addons-oke-workload-identity:3.52.1' + implementation 'com.oracle.oci.sdk:oci-java-sdk-generativeai:3.52.1' + implementation 'com.oracle.database.jdbc:ojdbc11-production:21.8.0.0' + implementation 'com.oracle.database.jdbc:ucp:21.8.0.0' + implementation 'com.oracle.database.security:oraclepki:21.8.0.0' + implementation 'com.oracle.database.security:osdt_cert:21.8.0.0' + implementation 'com.oracle.database.security:osdt_core:21.8.0.0' + implementation 'org.apache.pdfbox:pdfbox:3.0.3' exclude(group: 'commons-logging', module: 'commons-logging') + testImplementation 'org.springframework.boot:spring-boot-starter-test' +} + +tasks.named('test') { + useJUnitPlatform() +} diff --git a/apps/oci-generative-ai-jet-ui/backend/gradle/wrapper/gradle-wrapper.jar b/apps/oci-generative-ai-jet-ui/backend/gradle/wrapper/gradle-wrapper.jar new file mode 100644 index 0000000000000000000000000000000000000000..d64cd4917707c1f8861d8cb53dd15194d4248596 GIT binary patch literal 43462 zcma&NWl&^owk(X(xVyW%ySuwf;qI=D6|RlDJ2cR^yEKh!@I- zp9QeisK*rlxC>+~7Dk4IxIRsKBHqdR9b3+fyL=ynHmIDe&|>O*VlvO+%z5;9Z$|DJ zb4dO}-R=MKr^6EKJiOrJdLnCJn>np?~vU-1sSFgPu;pthGwf}bG z(1db%xwr#x)r+`4AGu$j7~u2MpVs3VpLp|mx&;>`0p0vH6kF+D2CY0fVdQOZ@h;A` z{infNyvmFUiu*XG}RNMNwXrbec_*a3N=2zJ|Wh5z* z5rAX$JJR{#zP>KY**>xHTuw?|-Rg|o24V)74HcfVT;WtQHXlE+_4iPE8QE#DUm%x0 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b/apps/oci-generative-ai-jet-ui/backend/gradle/wrapper/gradle-wrapper.properties new file mode 100644 index 00000000..1af9e093 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/gradle/wrapper/gradle-wrapper.properties @@ -0,0 +1,7 @@ +distributionBase=GRADLE_USER_HOME +distributionPath=wrapper/dists +distributionUrl=https\://services.gradle.org/distributions/gradle-8.5-bin.zip +networkTimeout=10000 +validateDistributionUrl=true +zipStoreBase=GRADLE_USER_HOME +zipStorePath=wrapper/dists diff --git a/apps/oci-generative-ai-jet-ui/backend/gradlew b/apps/oci-generative-ai-jet-ui/backend/gradlew new file mode 100755 index 00000000..1aa94a42 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/gradlew @@ -0,0 +1,249 @@ +#!/bin/sh + +# +# Copyright © 2015-2021 the original authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +############################################################################## +# +# Gradle start up script for POSIX generated by Gradle. +# +# Important for running: +# +# (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is +# noncompliant, but you have some other compliant shell such as ksh or +# bash, then to run this script, type that shell name before the whole +# command line, like: +# +# ksh Gradle +# +# Busybox and similar reduced shells will NOT work, because this script +# requires all of these POSIX shell features: +# * functions; +# * expansions «$var», «${var}», «${var:-default}», «${var+SET}», +# «${var#prefix}», «${var%suffix}», and «$( cmd )»; +# * compound commands having a testable exit status, especially «case»; +# * various built-in commands including «command», «set», and «ulimit». +# +# Important for patching: +# +# (2) This script targets any POSIX shell, so it avoids extensions provided +# by Bash, Ksh, etc; in particular arrays are avoided. +# +# The "traditional" practice of packing multiple parameters into a +# space-separated string is a well documented source of bugs and security +# problems, so this is (mostly) avoided, by progressively accumulating +# options in "$@", and eventually passing that to Java. +# +# Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS, +# and GRADLE_OPTS) rely on word-splitting, this is performed explicitly; +# see the in-line comments for details. +# +# There are tweaks for specific operating systems such as AIX, CygWin, +# Darwin, MinGW, and NonStop. +# +# (3) This script is generated from the Groovy template +# https://github.com/gradle/gradle/blob/HEAD/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt +# within the Gradle project. +# +# You can find Gradle at https://github.com/gradle/gradle/. +# +############################################################################## + +# Attempt to set APP_HOME + +# Resolve links: $0 may be a link +app_path=$0 + +# Need this for daisy-chained symlinks. +while + APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path + [ -h "$app_path" ] +do + ls=$( ls -ld "$app_path" ) + link=${ls#*' -> '} + case $link in #( + /*) app_path=$link ;; #( + *) app_path=$APP_HOME$link ;; + esac +done + +# This is normally unused +# shellcheck disable=SC2034 +APP_BASE_NAME=${0##*/} +# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036) +APP_HOME=$( cd "${APP_HOME:-./}" > /dev/null && pwd -P ) || exit + +# Use the maximum available, or set MAX_FD != -1 to use that value. +MAX_FD=maximum + +warn () { + echo "$*" +} >&2 + +die () { + echo + echo "$*" + echo + exit 1 +} >&2 + +# OS specific support (must be 'true' or 'false'). +cygwin=false +msys=false +darwin=false +nonstop=false +case "$( uname )" in #( + CYGWIN* ) cygwin=true ;; #( + Darwin* ) darwin=true ;; #( + MSYS* | MINGW* ) msys=true ;; #( + NONSTOP* ) nonstop=true ;; +esac + +CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar + + +# Determine the Java command to use to start the JVM. +if [ -n "$JAVA_HOME" ] ; then + if [ -x "$JAVA_HOME/jre/sh/java" ] ; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD=$JAVA_HOME/jre/sh/java + else + JAVACMD=$JAVA_HOME/bin/java + fi + if [ ! -x "$JAVACMD" ] ; then + die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +else + JAVACMD=java + if ! command -v java >/dev/null 2>&1 + then + die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +fi + +# Increase the maximum file descriptors if we can. +if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then + case $MAX_FD in #( + max*) + # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked. + # shellcheck disable=SC2039,SC3045 + MAX_FD=$( ulimit -H -n ) || + warn "Could not query maximum file descriptor limit" + esac + case $MAX_FD in #( + '' | soft) :;; #( + *) + # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked. + # shellcheck disable=SC2039,SC3045 + ulimit -n "$MAX_FD" || + warn "Could not set maximum file descriptor limit to $MAX_FD" + esac +fi + +# Collect all arguments for the java command, stacking in reverse order: +# * args from the command line +# * the main class name +# * -classpath +# * -D...appname settings +# * --module-path (only if needed) +# * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables. + +# For Cygwin or MSYS, switch paths to Windows format before running java +if "$cygwin" || "$msys" ; then + APP_HOME=$( cygpath --path --mixed "$APP_HOME" ) + CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" ) + + JAVACMD=$( cygpath --unix "$JAVACMD" ) + + # Now convert the arguments - kludge to limit ourselves to /bin/sh + for arg do + if + case $arg in #( + -*) false ;; # don't mess with options #( + /?*) t=${arg#/} t=/${t%%/*} # looks like a POSIX filepath + [ -e "$t" ] ;; #( + *) false ;; + esac + then + arg=$( cygpath --path --ignore --mixed "$arg" ) + fi + # Roll the args list around exactly as many times as the number of + # args, so each arg winds up back in the position where it started, but + # possibly modified. + # + # NB: a `for` loop captures its iteration list before it begins, so + # changing the positional parameters here affects neither the number of + # iterations, nor the values presented in `arg`. + shift # remove old arg + set -- "$@" "$arg" # push replacement arg + done +fi + + +# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"' + +# Collect all arguments for the java command: +# * DEFAULT_JVM_OPTS, JAVA_OPTS, JAVA_OPTS, and optsEnvironmentVar are not allowed to contain shell fragments, +# and any embedded shellness will be escaped. +# * For example: A user cannot expect ${Hostname} to be expanded, as it is an environment variable and will be +# treated as '${Hostname}' itself on the command line. + +set -- \ + "-Dorg.gradle.appname=$APP_BASE_NAME" \ + -classpath "$CLASSPATH" \ + org.gradle.wrapper.GradleWrapperMain \ + "$@" + +# Stop when "xargs" is not available. +if ! command -v xargs >/dev/null 2>&1 +then + die "xargs is not available" +fi + +# Use "xargs" to parse quoted args. +# +# With -n1 it outputs one arg per line, with the quotes and backslashes removed. +# +# In Bash we could simply go: +# +# readarray ARGS < <( xargs -n1 <<<"$var" ) && +# set -- "${ARGS[@]}" "$@" +# +# but POSIX shell has neither arrays nor command substitution, so instead we +# post-process each arg (as a line of input to sed) to backslash-escape any +# character that might be a shell metacharacter, then use eval to reverse +# that process (while maintaining the separation between arguments), and wrap +# the whole thing up as a single "set" statement. +# +# This will of course break if any of these variables contains a newline or +# an unmatched quote. +# + +eval "set -- $( + printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" | + xargs -n1 | + sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' | + tr '\n' ' ' + )" '"$@"' + +exec "$JAVACMD" "$@" diff --git a/apps/oci-generative-ai-jet-ui/backend/gradlew.bat b/apps/oci-generative-ai-jet-ui/backend/gradlew.bat new file mode 100644 index 00000000..6689b85b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/gradlew.bat @@ -0,0 +1,92 @@ +@rem +@rem Copyright 2015 the original author or authors. +@rem +@rem Licensed under the Apache License, Version 2.0 (the "License"); +@rem you may not use this file except in compliance with the License. +@rem You may obtain a copy of the License at +@rem +@rem https://www.apache.org/licenses/LICENSE-2.0 +@rem +@rem Unless required by applicable law or agreed to in writing, software +@rem distributed under the License is distributed on an "AS IS" BASIS, +@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +@rem See the License for the specific language governing permissions and +@rem limitations under the License. +@rem + +@if "%DEBUG%"=="" @echo off +@rem ########################################################################## +@rem +@rem Gradle startup script for Windows +@rem +@rem ########################################################################## + +@rem Set local scope for the variables with windows NT shell +if "%OS%"=="Windows_NT" setlocal + +set DIRNAME=%~dp0 +if "%DIRNAME%"=="" set DIRNAME=. +@rem This is normally unused +set APP_BASE_NAME=%~n0 +set APP_HOME=%DIRNAME% + +@rem Resolve any "." and ".." in APP_HOME to make it shorter. +for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi + +@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m" + +@rem Find java.exe +if defined JAVA_HOME goto findJavaFromJavaHome + +set JAVA_EXE=java.exe +%JAVA_EXE% -version >NUL 2>&1 +if %ERRORLEVEL% equ 0 goto execute + +echo. +echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:findJavaFromJavaHome +set JAVA_HOME=%JAVA_HOME:"=% +set JAVA_EXE=%JAVA_HOME%/bin/java.exe + +if exist "%JAVA_EXE%" goto execute + +echo. +echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:execute +@rem Setup the command line + +set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar + + +@rem Execute Gradle +"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %* + +:end +@rem End local scope for the variables with windows NT shell +if %ERRORLEVEL% equ 0 goto mainEnd + +:fail +rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of +rem the _cmd.exe /c_ return code! +set EXIT_CODE=%ERRORLEVEL% +if %EXIT_CODE% equ 0 set EXIT_CODE=1 +if not ""=="%GRADLE_EXIT_CONSOLE%" exit %EXIT_CODE% +exit /b %EXIT_CODE% + +:mainEnd +if "%OS%"=="Windows_NT" endlocal + +:omega diff --git a/apps/oci-generative-ai-jet-ui/backend/settings.gradle b/apps/oci-generative-ai-jet-ui/backend/settings.gradle new file mode 100644 index 00000000..0f5036dc --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/settings.gradle @@ -0,0 +1 @@ +rootProject.name = 'backend' diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java new file mode 100644 index 00000000..cd8bddc8 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java @@ -0,0 +1,13 @@ +package dev.victormartin.oci.genai.backend.backend; + +import org.springframework.boot.SpringApplication; +import org.springframework.boot.autoconfigure.SpringBootApplication; + +@SpringBootApplication +public class BackendApplication { + + public static void main(String[] args) { + SpringApplication.run(BackendApplication.class, args); + } + +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java new file mode 100644 index 00000000..11119758 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java @@ -0,0 +1,10 @@ +package dev.victormartin.oci.genai.backend.backend; + +import org.springframework.http.HttpStatus; +import org.springframework.web.bind.annotation.ResponseStatus; + +@ResponseStatus(code = HttpStatus.BAD_REQUEST, reason = "Invalid request params") +public class InvalidPromptRequest extends RuntimeException { + + +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java new file mode 100644 index 00000000..b4a0e6d4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java @@ -0,0 +1,25 @@ +package dev.victormartin.oci.genai.backend.backend.config; + +import org.springframework.context.annotation.Configuration; +import org.springframework.messaging.simp.config.MessageBrokerRegistry; +import org.springframework.web.socket.config.annotation.EnableWebSocketMessageBroker; +import org.springframework.web.socket.config.annotation.StompEndpointRegistry; +import org.springframework.web.socket.config.annotation.WebSocketMessageBrokerConfigurer; + +@Configuration +@EnableWebSocketMessageBroker +public class WebSocketConfig implements WebSocketMessageBrokerConfigurer { + + @Override + public void configureMessageBroker(MessageBrokerRegistry config) { + config.enableSimpleBroker("/queue"); + config.setApplicationDestinationPrefixes("/genai"); + config.setUserDestinationPrefix("/user"); + } + + @Override + public void registerStompEndpoints(StompEndpointRegistry registry) { + registry.addEndpoint("/websocket").setAllowedOrigins("*"); + } + +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java new file mode 100644 index 00000000..5a3f69f8 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java @@ -0,0 +1,58 @@ +package dev.victormartin.oci.genai.backend.backend.controller; + +import com.oracle.bmc.generativeai.GenerativeAiClient; +import com.oracle.bmc.generativeai.model.ModelCapability; +import com.oracle.bmc.generativeai.requests.ListModelsRequest; +import com.oracle.bmc.generativeai.requests.ListEndpointsRequest; +import com.oracle.bmc.generativeai.responses.ListModelsResponse; +import com.oracle.bmc.generativeai.responses.ListEndpointsResponse; +import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; +import dev.victormartin.oci.genai.backend.backend.dao.GenAiEndpoint; +import dev.victormartin.oci.genai.backend.backend.service.GenAIModelsService; +import dev.victormartin.oci.genai.backend.backend.service.GenAiClientService; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.web.bind.annotation.GetMapping; +import org.springframework.web.bind.annotation.RestController; + +import java.util.List; +import java.util.stream.Collectors; + +@RestController +public class GenAIController { + Logger logger = LoggerFactory.getLogger(GenAIController.class); + + @Value("${genai.compartment_id}") + private String COMPARTMENT_ID; + + @Autowired + private GenAiClientService generativeAiClientService; + + @Autowired + private GenAIModelsService genAIModelsService; + + @GetMapping("/api/genai/models") + public List getModels() { + logger.info("getModels()"); + List models = genAIModelsService.getModels(); + return models.stream() + .filter(m -> m.capabilities().contains("CHAT")) + .collect(Collectors.toList()); + } + + @GetMapping("/api/genai/endpoints") + public List getEndpoints() { + logger.info("getEndpoints()"); + ListEndpointsRequest listEndpointsRequest = ListEndpointsRequest.builder().compartmentId(COMPARTMENT_ID) + .build(); + GenerativeAiClient client = generativeAiClientService.getClient(); + ListEndpointsResponse response = client.listEndpoints(listEndpointsRequest); + return response.getEndpointCollection().getItems().stream().map(e -> { + GenAiEndpoint endpoint = new GenAiEndpoint(e.getId(), e.getDisplayName(), e.getLifecycleState(), + e.getModelId(), e.getTimeCreated()); + return endpoint; + }).collect(Collectors.toList()); + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java new file mode 100644 index 00000000..d02d8cf0 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java @@ -0,0 +1,111 @@ +package dev.victormartin.oci.genai.backend.backend.controller; + + +import com.oracle.bmc.model.BmcException; +import dev.victormartin.oci.genai.backend.backend.dao.Answer; +import dev.victormartin.oci.genai.backend.backend.data.Interaction; +import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; +import dev.victormartin.oci.genai.backend.backend.data.InteractionType; +import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; +import dev.victormartin.oci.genai.backend.backend.service.PDFConvertorService; +import org.apache.commons.io.FileUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.util.StringUtils; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestHeader; +import org.springframework.web.bind.annotation.RequestParam; +import org.springframework.web.bind.annotation.RestController; +import org.springframework.web.multipart.MaxUploadSizeExceededException; +import org.springframework.web.multipart.MultipartFile; +import org.springframework.web.util.HtmlUtils; + +import java.io.File; +import java.nio.charset.Charset; +import java.nio.charset.StandardCharsets; +import java.util.Date; + +@RestController +public class PDFConvertorController { + Logger log = LoggerFactory.getLogger(PDFConvertorController.class); + + @Value("${storage.path}") + String storagePath; + + @Value("${genai.summarization_model_id}") + String summarizationModelId; + + @Autowired + OCIGenAIService ociGenAIService; + + @Autowired + PDFConvertorService pdfConvertorService; + + @Autowired + private InteractionRepository interactionRepository; + + @PostMapping("/api/upload") + public Answer fileUploading(@RequestParam("file") MultipartFile multipartFile, + @RequestHeader("conversationID") String conversationId, + @RequestHeader("modelId") String modelId) { + String filename = StringUtils.cleanPath(multipartFile.getOriginalFilename()); + log.info("File uploaded {} {} bytes ({})", filename, multipartFile.getSize(), multipartFile.getContentType()); + String contentType = multipartFile.getContentType();// application/pdf + try { + if (filename.contains("..")) { + throw new Exception("Filename contains invalid path sequence"); + } + if (multipartFile.getBytes().length > (1024 * 1024)) { + throw new Exception("File size exceeds maximum limit"); + } + String fileDestinationPath = StringUtils.cleanPath(storagePath); + File file = new File(fileDestinationPath + File.separator + filename); + multipartFile.transferTo(file); + log.info("File destination path: {}", file.getAbsolutePath()); + String convertedText; + switch (contentType) { + case "text/plain": + convertedText = FileUtils.readFileToString(file, StandardCharsets.UTF_8); + break; + case "application/pdf": + convertedText = pdfConvertorService.convert(file.getAbsolutePath()); + break; + default: + convertedText= ""; + break; + } + String textEscaped = HtmlUtils.htmlEscape(convertedText); + Interaction interaction = new Interaction(); + interaction.setType(InteractionType.SUMMARY_FILE); + interaction.setConversationId(conversationId); + interaction.setDatetimeRequest(new Date()); + interaction.setModelId(summarizationModelId); + interaction.setRequest(textEscaped); + Interaction saved = interactionRepository.save(interaction); + String summaryText = ociGenAIService.summaryText(textEscaped, summarizationModelId, false); + saved.setDatetimeResponse(new Date()); + saved.setResponse(summaryText); + interactionRepository.save(saved); + log.info("Summary text: {}(...)", summaryText.substring(0, 40)); + Answer answer = new Answer(summaryText, ""); + return answer; + } catch (MaxUploadSizeExceededException maxUploadSizeExceededException) { + log.error(maxUploadSizeExceededException.getMessage()); + throw new RuntimeException(maxUploadSizeExceededException); + } catch (BmcException exception) { + log.error("Unmodified Message: {}", exception.getUnmodifiedMessage()); + String unmodifiedMessage = exception.getUnmodifiedMessage(); + int statusCode = exception.getStatusCode(); + String errorMessage = statusCode + " " + unmodifiedMessage; + log.error(errorMessage); + Answer answer = new Answer("", errorMessage); + return answer; + } catch (Exception e) { + log.error(e.getMessage()); + Answer answer = new Answer("", e.getMessage()); + return answer; + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java new file mode 100644 index 00000000..1adb7080 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java @@ -0,0 +1,92 @@ +package dev.victormartin.oci.genai.backend.backend.controller; + +import java.util.Date; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.HttpStatus; +import org.springframework.messaging.handler.annotation.MessageMapping; +import org.springframework.messaging.simp.annotation.SendToUser; +import org.springframework.stereotype.Controller; +import org.springframework.web.util.HtmlUtils; + +import com.oracle.bmc.model.BmcException; + +import dev.victormartin.oci.genai.backend.backend.InvalidPromptRequest; +import dev.victormartin.oci.genai.backend.backend.dao.Answer; +import dev.victormartin.oci.genai.backend.backend.dao.Prompt; +import dev.victormartin.oci.genai.backend.backend.data.Interaction; +import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; +import dev.victormartin.oci.genai.backend.backend.data.InteractionType; +import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; + +@Controller +public class PromptController { + + Logger logger = LoggerFactory.getLogger(PromptController.class); + + @Value("${genai.chat_model_id}") + private String hardcodedChatModelId; + + @Autowired + private final InteractionRepository interactionRepository; + + @Autowired + OCIGenAIService genAI; + + public PromptController(InteractionRepository interactionRepository, OCIGenAIService genAI) { + this.interactionRepository = interactionRepository; + this.genAI = genAI; + } + + @MessageMapping("/prompt") + @SendToUser("/queue/answer") + public Answer handlePrompt(Prompt prompt) { + String promptEscaped = HtmlUtils.htmlEscape(prompt.content()); + boolean finetune = prompt.finetune(); + String activeModel = (prompt.modelId() == null) ? hardcodedChatModelId : prompt.modelId(); + logger.info("Prompt " + promptEscaped + " received, on model " + activeModel); + + Interaction interaction = new Interaction(); + interaction.setType(InteractionType.CHAT); + interaction.setConversationId(prompt.conversationId()); + interaction.setDatetimeRequest(new Date()); + interaction.setModelId(activeModel); + interaction.setRequest(promptEscaped); + Interaction saved = interactionRepository.save(interaction); + try { + if (prompt.content().isEmpty()) { + throw new InvalidPromptRequest(); + } + saved.setDatetimeResponse(new Date()); + String responseFromGenAI = genAI.resolvePrompt(promptEscaped, activeModel, finetune, false); + saved.setResponse(responseFromGenAI); + interactionRepository.save(saved); + return new Answer(responseFromGenAI, ""); + + } catch (BmcException exception) { + logger.error("Message: {}", exception.getMessage()); + logger.error("Original Message: {}", exception.getOriginalMessage()); + logger.error("Unmodified Message: {}", exception.getUnmodifiedMessage()); + logger.error("Service Details: {}", exception.getServiceDetails()); + logger.error("Status Code: {}", exception.getStatusCode()); + String unmodifiedMessage = exception.getUnmodifiedMessage(); + int statusCode = exception.getStatusCode(); + String errorMessage = statusCode + " " + unmodifiedMessage; + logger.error(errorMessage); + saved.setErrorMessage(errorMessage); + interactionRepository.save(saved); + return new Answer("", errorMessage); + } catch (InvalidPromptRequest exception) { + int statusCode = HttpStatus.BAD_REQUEST.value(); + String errorMessage = statusCode + " Invalid Prompt "; + logger.error(errorMessage); + saved.setErrorMessage(errorMessage); + interactionRepository.save(saved); + return new Answer("", errorMessage); + } + } + +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java new file mode 100644 index 00000000..3b0119bc --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java @@ -0,0 +1,77 @@ +package dev.victormartin.oci.genai.backend.backend.controller; + +import com.oracle.bmc.model.BmcException; +import dev.victormartin.oci.genai.backend.backend.dao.Answer; +import dev.victormartin.oci.genai.backend.backend.dao.SummaryRequest; +import dev.victormartin.oci.genai.backend.backend.data.Interaction; +import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; +import dev.victormartin.oci.genai.backend.backend.data.InteractionType; +import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestHeader; +import org.springframework.web.bind.annotation.RestController; +import org.springframework.web.util.HtmlUtils; + +import java.util.Date; + +@RestController +public class SummaryController { + Logger logger = LoggerFactory.getLogger(SummaryController.class); + + @Value("${genai.summarization_model_id}") + String summarizationModelId; + + @Autowired + OCIGenAIService ociGenAIService; + + @Autowired + private InteractionRepository interactionRepository; + + @PostMapping("/api/genai/summary") + public Answer postSummaryText(@RequestBody SummaryRequest summaryRequest, + @RequestHeader("conversationID") String conversationId, + @RequestHeader("modelId") String modelId) { + logger.info("postSummaryText()"); + String contentEscaped = HtmlUtils.htmlEscape(summaryRequest.content()); + logger.info("contentEscaped: {}...", contentEscaped.substring(0, 50)); + Interaction interaction = new Interaction(); + interaction.setType(InteractionType.SUMMARY_TEXT); + interaction.setConversationId(conversationId); + interaction.setDatetimeRequest(new Date()); + interaction.setModelId(summarizationModelId); + interaction.setRequest(contentEscaped); + Interaction saved = interactionRepository.save(interaction); + try { + String summaryText = ociGenAIService.summaryText(contentEscaped, summarizationModelId, false); + saved.setDatetimeResponse(new Date()); + saved.setResponse(summaryText); + interactionRepository.save(saved); + logger.info("summaryText: {}...", summaryText.substring(0, 50)); + Answer answer = new Answer(); + answer.setContent(summaryText); + answer.setErrorMessage(""); + return answer; + } catch (BmcException e) { + String unmodifiedMessage = e.getUnmodifiedMessage(); + int statusCode = e.getStatusCode(); + String errorMessage = statusCode + " " + unmodifiedMessage; + logger.error(errorMessage); + saved.setErrorMessage(errorMessage); + interactionRepository.save(saved); + Answer answer = new Answer("", errorMessage); + return answer; + } catch (Exception e) { + String errorMessage = e.getLocalizedMessage(); + logger.error(errorMessage); + saved.setErrorMessage(errorMessage); + interactionRepository.save(saved); + Answer answer = new Answer("", errorMessage); + return answer; + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java new file mode 100644 index 00000000..b74b0119 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java @@ -0,0 +1,32 @@ +package dev.victormartin.oci.genai.backend.backend.dao; + +public class Answer { + + private String content; + + private String errorMessage; + + public Answer() { + } + + public Answer(String content, String errorMessage) { + this.content = content; + this.errorMessage = errorMessage; + } + public void setContent(String content) { + this.content = content; + } + + public String getContent() { + return content; + } + + public String getErrorMessage() { + return errorMessage; + } + + public void setErrorMessage(String errorMessage) { + this.errorMessage = errorMessage; + } + +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java new file mode 100644 index 00000000..85d1d53c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java @@ -0,0 +1,7 @@ +package dev.victormartin.oci.genai.backend.backend.dao; + +import java.util.Date; +import com.oracle.bmc.generativeai.model.Endpoint; + +public record GenAiEndpoint(String id, String name, Endpoint.LifecycleState state, String model, Date timeCreated) { +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java new file mode 100644 index 00000000..233a9664 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java @@ -0,0 +1,8 @@ +package dev.victormartin.oci.genai.backend.backend.dao; + +import java.util.Date; +import java.util.List; + +public record GenAiModel(String id, String name, String vendor, String version, List capabilities, + Date timeCreated) { +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java new file mode 100644 index 00000000..ce0ff33e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java @@ -0,0 +1,4 @@ +package dev.victormartin.oci.genai.backend.backend.dao; + +public record Prompt(String content, String conversationId, String modelId, boolean finetune) { +}; diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java new file mode 100644 index 00000000..588def2a --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java @@ -0,0 +1,4 @@ +package dev.victormartin.oci.genai.backend.backend.dao; + +public record SummaryRequest(String content) { +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java new file mode 100644 index 00000000..56480885 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java @@ -0,0 +1,122 @@ +package dev.victormartin.oci.genai.backend.backend.data; + +import jakarta.persistence.*; + +import java.util.Date; +import java.util.Objects; + +@Entity +public class Interaction { + @Id + @GeneratedValue(strategy = GenerationType.AUTO) + Long id; + + String conversationId; + + @Enumerated(EnumType.STRING) + InteractionType type; + + @Temporal(TemporalType.DATE) + Date datetimeRequest; + + String modelId; + + @Lob + @Column + String request; + + @Temporal(TemporalType.DATE) + Date datetimeResponse; + + @Lob + @Column + String response; + + @Lob + @Column + String errorMessage; + + public Interaction() { + } + + @Override + public boolean equals(Object o) { + if (this == o) return true; + if (o == null || getClass() != o.getClass()) return false; + Interaction that = (Interaction) o; + return Objects.equals(id, that.id) && Objects.equals(conversationId, that.conversationId) && type == that.type && Objects.equals(datetimeRequest, that.datetimeRequest) && Objects.equals(modelId, that.modelId) && Objects.equals(request, that.request) && Objects.equals(datetimeResponse, that.datetimeResponse) && Objects.equals(response, that.response) && Objects.equals(errorMessage, that.errorMessage); + } + + @Override + public int hashCode() { + return Objects.hash(id, conversationId, type, datetimeRequest, modelId, request, datetimeResponse, response, errorMessage); + } + + public Long getId() { + return id; + } + + public String getConversationId() { + return conversationId; + } + + public void setConversationId(String conversationId) { + this.conversationId = conversationId; + } + + public InteractionType getType() { + return type; + } + + public void setType(InteractionType type) { + this.type = type; + } + + public Date getDatetimeRequest() { + return datetimeRequest; + } + + public void setDatetimeRequest(Date datetimeRequest) { + this.datetimeRequest = datetimeRequest; + } + + public String getModelId() { + return modelId; + } + + public void setModelId(String modelId) { + this.modelId = modelId; + } + + public String getRequest() { + return request; + } + + public void setRequest(String request) { + this.request = request; + } + + public Date getDatetimeResponse() { + return datetimeResponse; + } + + public void setDatetimeResponse(Date datetimeResponse) { + this.datetimeResponse = datetimeResponse; + } + + public String getResponse() { + return response; + } + + public void setResponse(String response) { + this.response = response; + } + + public String getErrorMessage() { + return errorMessage; + } + + public void setErrorMessage(String errorMessage) { + this.errorMessage = errorMessage; + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java new file mode 100644 index 00000000..32b1ccca --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java @@ -0,0 +1,6 @@ +package dev.victormartin.oci.genai.backend.backend.data; + +import org.springframework.data.jpa.repository.JpaRepository; + +public interface InteractionRepository extends JpaRepository { +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java new file mode 100644 index 00000000..1d47e02f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java @@ -0,0 +1,5 @@ +package dev.victormartin.oci.genai.backend.backend.data; + +public enum InteractionType { + CHAT, SUMMARY_FILE, SUMMARY_TEXT +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java new file mode 100644 index 00000000..b52c4aee --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java @@ -0,0 +1,44 @@ +package dev.victormartin.oci.genai.backend.backend.service; + +import com.oracle.bmc.generativeai.GenerativeAiClient; +import com.oracle.bmc.generativeai.model.ModelCapability; +import com.oracle.bmc.generativeai.requests.ListModelsRequest; +import com.oracle.bmc.generativeai.responses.ListModelsResponse; +import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.List; +import java.util.stream.Collectors; + +@Service +public class GenAIModelsService { + Logger log = LoggerFactory.getLogger(GenAIModelsService.class); + + @Value("${genai.compartment_id}") + private String COMPARTMENT_ID; + + @Autowired + private GenAiClientService generativeAiClientService; + + public List getModels() { + log.info("getModels()"); + ListModelsRequest listModelsRequest = ListModelsRequest.builder() + .compartmentId(COMPARTMENT_ID) + .build(); + GenerativeAiClient client = generativeAiClientService.getClient(); + ListModelsResponse response = client.listModels(listModelsRequest); + return response.getModelCollection().getItems().stream() + .map(m -> { + List capabilities = m.getCapabilities().stream() + .map(ModelCapability::getValue).collect(Collectors.toList()); + GenAiModel model = new GenAiModel( + m.getId(), m.getDisplayName(), m.getVendor(), + m.getVersion(), capabilities, m.getTimeCreated()); + return model; + }).collect(Collectors.toList()); + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java new file mode 100644 index 00000000..d9ae21a9 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java @@ -0,0 +1,100 @@ +package dev.victormartin.oci.genai.backend.backend.service; + +import com.oracle.bmc.ConfigFileReader; +import com.oracle.bmc.Region; +import com.oracle.bmc.auth.AuthenticationDetailsProvider; +import com.oracle.bmc.auth.ConfigFileAuthenticationDetailsProvider; +import com.oracle.bmc.auth.InstancePrincipalsAuthenticationDetailsProvider; +import com.oracle.bmc.auth.okeworkloadidentity.OkeWorkloadIdentityAuthenticationDetailsProvider; +import com.oracle.bmc.generativeai.GenerativeAiClient; +import jakarta.annotation.PostConstruct; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.core.env.Environment; +import org.springframework.stereotype.Service; + +import java.io.IOException; + +@Service +public class GenAiClientService { + + Logger log = LoggerFactory.getLogger(GenAiClientService.class); + + @Autowired + private Environment environment; + + private GenerativeAiClient client; + + @Value("${genai.region}") + private String regionCode; + @Value("${genai.config.location}") + private String CONFIG_LOCATION; + @Value("${genai.config.profile}") + private String CONFIG_PROFILE; + + @PostConstruct + private void postConstruct() { + String[] activeProfiles = environment.getActiveProfiles(); + String profile = activeProfiles[0]; + switch (profile) { + case "oke": + okeGenAiClient(); + break; + case "compute": + instancePrincipalClient(); + break; + default: + localClient(); + break; + } + } + + private void okeGenAiClient() { + final OkeWorkloadIdentityAuthenticationDetailsProvider provider = new OkeWorkloadIdentityAuthenticationDetailsProvider + .OkeWorkloadIdentityAuthenticationDetailsProviderBuilder() + .build(); + GenerativeAiClient okeClient = GenerativeAiClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(okeClient); + } + + + private void instancePrincipalClient() { + final InstancePrincipalsAuthenticationDetailsProvider provider = new InstancePrincipalsAuthenticationDetailsProvider + .InstancePrincipalsAuthenticationDetailsProviderBuilder() + .build(); + + GenerativeAiClient instancePrinciplaClient = GenerativeAiClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(instancePrinciplaClient); + } + + private void localClient() { + final ConfigFileReader.ConfigFile configFile; + try { + configFile = ConfigFileReader.parse(CONFIG_LOCATION, CONFIG_PROFILE); + } catch (IOException e) { + log.error("Failed to load config file at {}", CONFIG_LOCATION); + log.error(e.getMessage()); + throw new RuntimeException(e); + } + final AuthenticationDetailsProvider provider = new ConfigFileAuthenticationDetailsProvider(configFile); + + GenerativeAiClient localClient = GenerativeAiClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(localClient); + } + + public GenerativeAiClient getClient() { + return client; + } + + public void setClient(GenerativeAiClient client) { + this.client = client; + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java new file mode 100644 index 00000000..1de3aa6f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java @@ -0,0 +1,97 @@ +package dev.victormartin.oci.genai.backend.backend.service; + +import com.oracle.bmc.ConfigFileReader; +import com.oracle.bmc.Region; +import com.oracle.bmc.auth.AuthenticationDetailsProvider; +import com.oracle.bmc.auth.ConfigFileAuthenticationDetailsProvider; +import com.oracle.bmc.auth.InstancePrincipalsAuthenticationDetailsProvider; +import com.oracle.bmc.auth.okeworkloadidentity.OkeWorkloadIdentityAuthenticationDetailsProvider; +import com.oracle.bmc.generativeaiinference.GenerativeAiInferenceClient; +import jakarta.annotation.PostConstruct; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.core.env.Environment; +import org.springframework.stereotype.Service; + +import java.io.IOException; + +@Service +public class GenAiInferenceClientService { + + Logger log = LoggerFactory.getLogger(GenAiInferenceClientService.class); + + private GenerativeAiInferenceClient client; + + @Autowired + private Environment environment; + + @Value("${genai.region}") + private String regionCode; + @Value("${genai.config.location}") + private String CONFIG_LOCATION; + @Value("${genai.config.profile}") + private String CONFIG_PROFILE; + + @PostConstruct + private void postConstruct() { + String[] activeProfiles = environment.getActiveProfiles(); + String profile = activeProfiles[0]; + log.info("Profile: {}", profile); + switch (profile) { + case "oke": + okeGenAiClient(); + break; + case "compute": + instancePrincipalClient(); + break; + default: + localConfig(); + break; + } + } + + private void okeGenAiClient() { + final OkeWorkloadIdentityAuthenticationDetailsProvider provider = new OkeWorkloadIdentityAuthenticationDetailsProvider + .OkeWorkloadIdentityAuthenticationDetailsProviderBuilder() + .build(); + GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(okeClient); + } + + private void instancePrincipalClient() { + final InstancePrincipalsAuthenticationDetailsProvider provider = new InstancePrincipalsAuthenticationDetailsProvider.InstancePrincipalsAuthenticationDetailsProviderBuilder() + .build(); + + GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(okeClient); + } + + private void localConfig() { + final ConfigFileReader.ConfigFile configFile; + try { + configFile = ConfigFileReader.parse(CONFIG_LOCATION, CONFIG_PROFILE); + } catch (IOException e) { + throw new RuntimeException(e); + } + final AuthenticationDetailsProvider provider = new ConfigFileAuthenticationDetailsProvider(configFile); + + GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() + .region(Region.fromRegionCode(regionCode)) + .build(provider); + setClient(okeClient); + } + + public GenerativeAiInferenceClient getClient() { + return client; + } + + public void setClient(GenerativeAiInferenceClient client) { + this.client = client; + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java new file mode 100644 index 00000000..ecf9d73c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java @@ -0,0 +1,117 @@ +package dev.victormartin.oci.genai.backend.backend.service; + +import com.oracle.bmc.generativeaiinference.model.*; +import com.oracle.bmc.generativeaiinference.model.Message; +import com.oracle.bmc.generativeaiinference.requests.ChatRequest; +import com.oracle.bmc.generativeaiinference.responses.ChatResponse; +import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.ArrayList; +import java.util.List; + +@Service +public class OCIGenAIService { + + Logger log = LoggerFactory.getLogger(OCIGenAIService.class); + + @Value("${genai.compartment_id}") + private String COMPARTMENT_ID; + + @Autowired + private GenAiInferenceClientService generativeAiInferenceClientService; + + @Autowired + private GenAIModelsService genAIModelsService; + + public String resolvePrompt(String input, String modelId, boolean finetune, boolean summarization) { + + List models = genAIModelsService.getModels(); + GenAiModel currentModel = models.stream() + .filter(m-> modelId.equals(m.id())) + .findFirst() + .orElseThrow(); + + log.info("Model {} with finetune {}", currentModel.name(), finetune? "yes" : "no"); + + double temperature = summarization?0.0:0.5; + + String inputText = summarization?"Summarize this text:\n" + input: input; + + ChatDetails chatDetails; + switch (currentModel.vendor()) { + case "cohere": + CohereChatRequest cohereChatRequest = CohereChatRequest.builder() + .message(inputText) + .maxTokens(600) + .temperature(temperature) + .frequencyPenalty((double) 0) + .topP(0.75) + .topK(0) + .isStream(false) // TODO websockets and streams + .build(); + + chatDetails = ChatDetails.builder() + .servingMode(OnDemandServingMode.builder().modelId(currentModel.id()).build()) + .compartmentId(COMPARTMENT_ID) + .chatRequest(cohereChatRequest) + .build(); + break; + case "meta": + ChatContent content = TextContent.builder() + .text(inputText) + .build(); + List contents = new ArrayList<>(); + contents.add(content); + List messages = new ArrayList<>(); + Message message = new UserMessage(contents, "user"); + messages.add(message); + GenericChatRequest genericChatRequest = GenericChatRequest.builder() + .messages(messages) + .maxTokens(600) + .temperature((double)1) + .frequencyPenalty((double)0) + .presencePenalty((double)0) + .topP(0.75) + .topK(-1) + .isStream(false) + .build(); + chatDetails = ChatDetails.builder() + .servingMode(OnDemandServingMode.builder().modelId(currentModel.id()).build()) + .compartmentId(COMPARTMENT_ID) + .chatRequest(genericChatRequest) + .build(); + break; + default: + throw new IllegalStateException("Unexpected value: " + currentModel.vendor()); + } + + ChatRequest request = ChatRequest.builder() + .chatDetails(chatDetails) + .build(); + ChatResponse response = generativeAiInferenceClientService.getClient().chat(request); + ChatResult chatResult = response.getChatResult(); + + BaseChatResponse baseChatResponse = chatResult.getChatResponse(); + if (baseChatResponse instanceof CohereChatResponse) { + return ((CohereChatResponse)baseChatResponse).getText(); + } else if (baseChatResponse instanceof GenericChatResponse) { + List choices = ((GenericChatResponse) baseChatResponse).getChoices(); + List contents = choices.get(choices.size() - 1).getMessage().getContent(); + ChatContent content = contents.get(contents.size() - 1); + if (content instanceof TextContent) { + return ((TextContent) content).getText(); + } + } + throw new IllegalStateException("Unexpected chat response type: " + baseChatResponse.getClass().getName()); + } + + public String summaryText(String input, String modelId, boolean finetuned) { + String response = resolvePrompt(input, modelId, finetuned, true); + return response; + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java new file mode 100644 index 00000000..ab35c8e8 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java @@ -0,0 +1,28 @@ +package dev.victormartin.oci.genai.backend.backend.service; + +import org.apache.pdfbox.Loader; +import org.apache.pdfbox.pdmodel.PDDocument; +import org.apache.pdfbox.text.PDFTextStripper; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.stereotype.Service; +import org.springframework.util.ResourceUtils; + +import java.io.File; +import java.io.IOException; + +@Service +public class PDFConvertorService { + Logger log = LoggerFactory.getLogger(PDFConvertorService.class); + + public String convert(String filePath) { + try { + File file = ResourceUtils.getFile(filePath); + PDDocument doc = Loader.loadPDF(file); + return new PDFTextStripper().getText(doc); + } catch (IOException e) { + log.error(e.getMessage()); + throw new RuntimeException(e); + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/backend/src/main/resources/application.yaml b/apps/oci-generative-ai-jet-ui/backend/src/main/resources/application.yaml new file mode 100644 index 00000000..8a6e082b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/main/resources/application.yaml @@ -0,0 +1,35 @@ +spring: + main: + banner-mode: "off" + profiles: + active: default + datasource: + driver-class-name: oracle.jdbc.OracleDriver + url: jdbc:oracle:thin:@DB_SERVICE_high?TNS_ADMIN=/PATH/TO/WALLET + username: ADMIN + password: "PASSWORD" + type: oracle.ucp.jdbc.PoolDataSource + oracleucp: + sql-for-validate-connection: SELECT * FROM dual + connection-pool-name: connectionPoolName1 + initial-pool-size: 5 + min-pool-size: 5 + max-pool-size: 10 + jpa: + hibernate: + use-new-id-generator-mappings: false + ddl-auto: update +oracle: + jdbc: + fanEnabled: true + +genai: + region: "US_CHICAGO_1" + config: + location: "~/.oci/config" + profile: "DEFAULT" + compartment_id: "COMPARTMENT_ID" + chat_model_id: "ocid1.generativeaimodel.AAAAAAAAAAAAA" + summarization_model_id: "ocid1.generativeaimodel.AAAAAAAAAAAAA" +storage: + path: "/PATH/FOR/UPLOAD/FILES" diff --git a/apps/oci-generative-ai-jet-ui/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java b/apps/oci-generative-ai-jet-ui/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java new file mode 100644 index 00000000..1da255b4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java @@ -0,0 +1,13 @@ +package dev.victormartin.oci.genai.backend.backend; + +import org.junit.jupiter.api.Test; +import org.springframework.boot.test.context.SpringBootTest; + +@SpringBootTest +class BackendApplicationTests { + + @Test + void contextLoads() { + } + +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app-svc.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app-svc.yaml new file mode 100644 index 00000000..7cbd87d9 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app-svc.yaml @@ -0,0 +1,13 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app: app + name: app +spec: + ports: + - port: 80 + protocol: TCP + targetPort: 80 + selector: + app: app diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app.yaml new file mode 100644 index 00000000..8664c670 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/app.yaml @@ -0,0 +1,43 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + app: app + name: app +spec: + replicas: 1 + selector: + matchLabels: + app: app + strategy: + type: RollingUpdate + rollingUpdate: + maxSurge: 1 + maxUnavailable: 1 + template: + metadata: + labels: + app: app + spec: + containers: + - image: app + imagePullPolicy: "Always" + name: app + readinessProbe: + httpGet: + scheme: HTTP + path: /index.html + port: 80 + initialDelaySeconds: 10 + periodSeconds: 5 + ports: + - containerPort: 80 + resources: + requests: + cpu: 100m + memory: 256Mi + limits: + cpu: 250m + memory: 521Mi + imagePullSecrets: + - name: ocir-secret diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/app/kustomization.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/kustomization.yaml new file mode 100644 index 00000000..85f7a038 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/app/kustomization.yaml @@ -0,0 +1,4 @@ +resources: + - app.yaml + - app-svc.yaml +namespace: backend diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/application.yaml.mustache b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/application.yaml.mustache new file mode 100644 index 00000000..e0e21e86 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/application.yaml.mustache @@ -0,0 +1,32 @@ +spring: + main: + banner-mode: "off" + profiles: + active: oke + datasource: + driver-class-name: oracle.jdbc.OracleDriver + url: jdbc:oracle:thin:@{{{db_service}}}_high?TNS_ADMIN={{{path_to_wallet}}} + username: ADMIN + password: "{{{db_password}}}" + type: oracle.ucp.jdbc.PoolDataSource + oracleucp: + sql-for-validate-connection: SELECT * FROM dual + connection-pool-name: connectionPoolName1 + initial-pool-size: 5 + min-pool-size: 5 + max-pool-size: 10 + jpa: + hibernate: + use-new-id-generator-mappings: false + ddl-auto: update +oracle: + jdbc: + fanEnabled: true + +genai: + region: "{{{region_name}}}" + compartment_id: "{{{compartment_ocid}}}" + chat_model_id: "{{{genai_model_chat_ocid}}}" + summarization_model_id: "{{{genai_model_summarization_ocid}}}" +storage: + path: "/temp" diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend-svc.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend-svc.yaml new file mode 100644 index 00000000..141197f0 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend-svc.yaml @@ -0,0 +1,13 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app: backend + name: backend +spec: + ports: + - port: 8080 + protocol: TCP + targetPort: 8080 + selector: + app: backend diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend.yaml new file mode 100644 index 00000000..d33aff08 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/backend.yaml @@ -0,0 +1,80 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + app: backend + name: backend +spec: + replicas: 1 + minReadySeconds: 60 + selector: + matchLabels: + app: backend + strategy: + type: RollingUpdate + rollingUpdate: + maxSurge: 1 + maxUnavailable: 1 + template: + metadata: + labels: + app: backend + spec: + serviceAccountName: oci-service-account + automountServiceAccountToken: true + initContainers: + - name: unzip + image: busybox + command: ["unzip", "/walletzip/wallet.zip", "-d", "/wallet"] + volumeMounts: + - name: wallet-config + mountPath: /walletzip + - name: wallet-volume + mountPath: /wallet + containers: + - image: backend + imagePullPolicy: "Always" + name: backend + livenessProbe: + httpGet: + path: /actuator/health/liveness + port: 8080 + initialDelaySeconds: 90 + periodSeconds: 5 + readinessProbe: + httpGet: + path: /actuator/health/readiness + port: 8080 + initialDelaySeconds: 90 + periodSeconds: 5 + ports: + - containerPort: 8080 + resources: + requests: + cpu: 250m + memory: 512Mi + limits: + cpu: 500m + memory: 1024Mi + volumeMounts: + - name: config-volume + mountPath: /config + - name: wallet-volume + mountPath: /wallet + - name: temp + mountPath: /temp + volumes: + - name: config-volume + configMap: + name: backend-properties + - name: wallet-config + configMap: + name: wallet-zip + - name: wallet-volume + emptyDir: + sizeLimit: 50Mi + - name: temp + emptyDir: + sizeLimit: 500Mi + imagePullSecrets: + - name: ocir-secret diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/kustomization.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/kustomization.yaml new file mode 100644 index 00000000..5110756f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/kustomization.yaml @@ -0,0 +1,12 @@ +resources: + - service-account.yaml + - backend.yaml + - backend-svc.yaml +configMapGenerator: + - name: backend-properties + files: + - application.yaml + - name: wallet-zip + files: + - wallet/wallet.zip +namespace: backend diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/service-account.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/service-account.yaml new file mode 100644 index 00000000..03f9ef59 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/backend/service-account.yaml @@ -0,0 +1,4 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: oci-service-account diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-controller.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-controller.yaml new file mode 100644 index 00000000..20ca0475 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-controller.yaml @@ -0,0 +1,333 @@ +apiVersion: v1 +data: + allow-snippet-annotations: "true" +kind: ConfigMap +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-controller + namespace: ingress-nginx +--- +apiVersion: v1 +kind: Service +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + annotations: + service.beta.kubernetes.io/oci-load-balancer-shape: "flexible" + service.beta.kubernetes.io/oci-load-balancer-shape-flex-min: "10Mbps" + service.beta.kubernetes.io/oci-load-balancer-shape-flex-max: "40Mbps" + # nginx.ingress.kubernetes.io/affinity: "cookie" + # nginx.ingress.kubernetes.io/session-cookie-name: "sticky" + nginx.ingress.kubernetes.io/proxy-send-timeout: "3600" + nginx.ingress.kubernetes.io/proxy-read-timeout: "3600" + nginx.ingress.kubernetes.io/proxy-connect-timeout: "3600" + nginx.ingress.kubernetes.io/websocket-services: "ws-server" + name: ingress-nginx-controller + namespace: ingress-nginx +spec: + externalTrafficPolicy: Local + ipFamilies: + - IPv4 + ipFamilyPolicy: SingleStack + ports: + - appProtocol: http + name: http + port: 80 + protocol: TCP + targetPort: http + - appProtocol: https + name: https + port: 443 + protocol: TCP + targetPort: https + selector: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + type: LoadBalancer +--- +apiVersion: v1 +kind: Service +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-controller-admission + namespace: ingress-nginx +spec: + ports: + - appProtocol: https + name: https-webhook + port: 443 + targetPort: webhook + selector: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + type: ClusterIP +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-controller + namespace: ingress-nginx +spec: + minReadySeconds: 0 + revisionHistoryLimit: 10 + selector: + matchLabels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + template: + metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + spec: + containers: + - args: + - /nginx-ingress-controller + - --publish-service=$(POD_NAMESPACE)/ingress-nginx-controller + - --election-id=ingress-nginx-leader + - --controller-class=k8s.io/ingress-nginx + - --ingress-class=nginx + - --configmap=$(POD_NAMESPACE)/ingress-nginx-controller + - --validating-webhook=:8443 + - --validating-webhook-certificate=/usr/local/certificates/cert + - --validating-webhook-key=/usr/local/certificates/key + env: + - name: POD_NAME + valueFrom: + fieldRef: + fieldPath: metadata.name + - name: POD_NAMESPACE + valueFrom: + fieldRef: + fieldPath: metadata.namespace + - name: LD_PRELOAD + value: /usr/local/lib/libmimalloc.so + image: registry.k8s.io/ingress-nginx/controller:v1.5.1@sha256:4ba73c697770664c1e00e9f968de14e08f606ff961c76e5d7033a4a9c593c629 + imagePullPolicy: IfNotPresent + lifecycle: + preStop: + exec: + command: + - /wait-shutdown + livenessProbe: + failureThreshold: 5 + httpGet: + path: /healthz + port: 10254 + scheme: HTTP + initialDelaySeconds: 10 + periodSeconds: 10 + successThreshold: 1 + timeoutSeconds: 1 + name: controller + ports: + - containerPort: 80 + name: http + protocol: TCP + - containerPort: 443 + name: https + protocol: TCP + - containerPort: 8443 + name: webhook + protocol: TCP + readinessProbe: + failureThreshold: 3 + httpGet: + path: /healthz + port: 10254 + scheme: HTTP + initialDelaySeconds: 10 + periodSeconds: 10 + successThreshold: 1 + timeoutSeconds: 1 + resources: + requests: + cpu: 100m + memory: 90Mi + securityContext: + allowPrivilegeEscalation: true + capabilities: + add: + - NET_BIND_SERVICE + drop: + - ALL + runAsUser: 101 + volumeMounts: + - mountPath: /usr/local/certificates/ + name: webhook-cert + readOnly: true + dnsPolicy: ClusterFirst + nodeSelector: + kubernetes.io/os: linux + serviceAccountName: ingress-nginx + terminationGracePeriodSeconds: 300 + volumes: + - name: webhook-cert + secret: + secretName: ingress-nginx-admission +--- +apiVersion: batch/v1 +kind: Job +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission-create + namespace: ingress-nginx +spec: + template: + metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission-create + spec: + containers: + - args: + - create + - --host=ingress-nginx-controller-admission,ingress-nginx-controller-admission.$(POD_NAMESPACE).svc + - --namespace=$(POD_NAMESPACE) + - --secret-name=ingress-nginx-admission + env: + - name: POD_NAMESPACE + valueFrom: + fieldRef: + fieldPath: metadata.namespace + image: registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20220916-gd32f8c343@sha256:39c5b2e3310dc4264d638ad28d9d1d96c4cbb2b2dcfb52368fe4e3c63f61e10f + imagePullPolicy: IfNotPresent + name: create + securityContext: + allowPrivilegeEscalation: false + nodeSelector: + kubernetes.io/os: linux + restartPolicy: OnFailure + securityContext: + fsGroup: 2000 + runAsNonRoot: true + runAsUser: 2000 + serviceAccountName: ingress-nginx-admission +--- +apiVersion: batch/v1 +kind: Job +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission-patch + namespace: ingress-nginx +spec: + template: + metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission-patch + spec: + containers: + - args: + - patch + - --webhook-name=ingress-nginx-admission + - --namespace=$(POD_NAMESPACE) + - --patch-mutating=false + - --secret-name=ingress-nginx-admission + - --patch-failure-policy=Fail + env: + - name: POD_NAMESPACE + valueFrom: + fieldRef: + fieldPath: metadata.namespace + image: registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20220916-gd32f8c343@sha256:39c5b2e3310dc4264d638ad28d9d1d96c4cbb2b2dcfb52368fe4e3c63f61e10f + imagePullPolicy: IfNotPresent + name: patch + securityContext: + allowPrivilegeEscalation: false + nodeSelector: + kubernetes.io/os: linux + restartPolicy: OnFailure + securityContext: + fsGroup: 2000 + runAsNonRoot: true + runAsUser: 2000 + serviceAccountName: ingress-nginx-admission +--- +apiVersion: networking.k8s.io/v1 +kind: IngressClass +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: nginx +spec: + controller: k8s.io/ingress-nginx +--- +apiVersion: admissionregistration.k8s.io/v1 +kind: ValidatingWebhookConfiguration +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission +webhooks: + - admissionReviewVersions: + - v1 + clientConfig: + service: + name: ingress-nginx-controller-admission + namespace: ingress-nginx + path: /networking/v1/ingresses + failurePolicy: Fail + matchPolicy: Equivalent + name: validate.nginx.ingress.kubernetes.io + rules: + - apiGroups: + - networking.k8s.io + apiVersions: + - v1 + operations: + - CREATE + - UPDATE + resources: + - ingresses + sideEffects: None diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-ns.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-ns.yaml new file mode 100644 index 00000000..cc2bc3da --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-ns.yaml @@ -0,0 +1,7 @@ +apiVersion: v1 +kind: Namespace +metadata: + labels: + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + name: ingress-nginx diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-rbac.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-rbac.yaml new file mode 100644 index 00000000..d1bae8df --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress-rbac.yaml @@ -0,0 +1,327 @@ +apiVersion: v1 +automountServiceAccountToken: true +kind: ServiceAccount +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx + namespace: ingress-nginx +--- +apiVersion: v1 +kind: ServiceAccount +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission + namespace: ingress-nginx +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx + namespace: ingress-nginx +rules: + - apiGroups: + - "" + resources: + - namespaces + verbs: + - get + - apiGroups: + - "" + resources: + - configmaps + - pods + - secrets + - endpoints + verbs: + - get + - list + - watch + - apiGroups: + - "" + resources: + - services + verbs: + - get + - list + - watch + - apiGroups: + - networking.k8s.io + resources: + - ingresses + verbs: + - get + - list + - watch + - apiGroups: + - networking.k8s.io + resources: + - ingresses/status + verbs: + - update + - apiGroups: + - networking.k8s.io + resources: + - ingressclasses + verbs: + - get + - list + - watch + - apiGroups: + - "" + resourceNames: + - ingress-nginx-leader + resources: + - configmaps + verbs: + - get + - update + - apiGroups: + - "" + resources: + - configmaps + verbs: + - create + - apiGroups: + - coordination.k8s.io + resourceNames: + - ingress-nginx-leader + resources: + - leases + verbs: + - get + - update + - apiGroups: + - coordination.k8s.io + resources: + - leases + verbs: + - create + - apiGroups: + - "" + resources: + - events + verbs: + - create + - patch + - apiGroups: + - discovery.k8s.io + resources: + - endpointslices + verbs: + - list + - watch + - get +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission + namespace: ingress-nginx +rules: + - apiGroups: + - "" + resources: + - secrets + verbs: + - get + - create +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx +rules: + - apiGroups: + - "" + resources: + - configmaps + - endpoints + - nodes + - pods + - secrets + - namespaces + verbs: + - list + - watch + - apiGroups: + - coordination.k8s.io + resources: + - leases + verbs: + - list + - watch + - apiGroups: + - "" + resources: + - nodes + verbs: + - get + - apiGroups: + - "" + resources: + - services + verbs: + - get + - list + - watch + - apiGroups: + - networking.k8s.io + resources: + - ingresses + verbs: + - get + - list + - watch + - apiGroups: + - "" + resources: + - events + verbs: + - create + - patch + - apiGroups: + - networking.k8s.io + resources: + - ingresses/status + verbs: + - update + - apiGroups: + - networking.k8s.io + resources: + - ingressclasses + verbs: + - get + - list + - watch + - apiGroups: + - discovery.k8s.io + resources: + - endpointslices + verbs: + - list + - watch + - get +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission +rules: + - apiGroups: + - admissionregistration.k8s.io + resources: + - validatingwebhookconfigurations + verbs: + - get + - update +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + labels: + app.kubernetes.io/component: controller + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx + namespace: ingress-nginx +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: Role + name: ingress-nginx +subjects: + - kind: ServiceAccount + name: ingress-nginx + namespace: ingress-nginx +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission + namespace: ingress-nginx +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: Role + name: ingress-nginx-admission +subjects: + - kind: ServiceAccount + name: ingress-nginx-admission + namespace: ingress-nginx +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + labels: + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: ingress-nginx +subjects: + - kind: ServiceAccount + name: ingress-nginx + namespace: ingress-nginx +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + labels: + app.kubernetes.io/component: admission-webhook + app.kubernetes.io/instance: ingress-nginx + app.kubernetes.io/name: ingress-nginx + app.kubernetes.io/part-of: ingress-nginx + app.kubernetes.io/version: 1.5.1 + name: ingress-nginx-admission +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: ingress-nginx-admission +subjects: + - kind: ServiceAccount + name: ingress-nginx-admission + namespace: ingress-nginx +--- diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress.yaml new file mode 100644 index 00000000..176791c6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/ingress.yaml @@ -0,0 +1,39 @@ +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: ingress +spec: + ingressClassName: nginx + tls: + - secretName: tls + rules: + - http: + paths: + - path: /api + pathType: Prefix + backend: + service: + name: backend + port: + number: 8080 + - path: /websocket + pathType: Prefix + backend: + service: + name: backend + port: + number: 8080 + # - path: /summary + # pathType: Prefix + # backend: + # service: + # name: web + # port: + # number: 80 + - path: / + pathType: Prefix + backend: + service: + name: app + port: + number: 80 diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/kustomization.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/kustomization.yaml new file mode 100644 index 00000000..62087528 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/ingress/kustomization.yaml @@ -0,0 +1,12 @@ +resources: + - ingress-ns.yaml + - ingress-rbac.yaml + - ingress-controller.yaml + - ingress.yaml +secretGenerator: + - name: tls + files: + - .certs/tls.crt + - .certs/tls.key + type: "kubernetes.io/tls" +namespace: backend diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/overlays/prod/kustomization.yaml.mustache b/apps/oci-generative-ai-jet-ui/deploy/k8s/overlays/prod/kustomization.yaml.mustache new file mode 100644 index 00000000..078d3e19 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/overlays/prod/kustomization.yaml.mustache @@ -0,0 +1,12 @@ +resources: + - "../../ingress" + - "../../app" + - "../../backend" + +images: +- name: app + newName: {{region_key}}.ocir.io/{{{tenancy_namespace}}}/{{{project_name}}}/app + newTag: {{{app_version}}} +- name: backend + newName: {{region_key}}.ocir.io/{{{tenancy_namespace}}}/{{{project_name}}}/backend + newTag: {{{backend_version}}} diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/web/kustomization.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/kustomization.yaml new file mode 100644 index 00000000..f97747c8 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/kustomization.yaml @@ -0,0 +1,4 @@ +resources: + - web.yaml + - web-svc.yaml +namespace: backend diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web-svc.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web-svc.yaml new file mode 100644 index 00000000..bb79f9e7 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web-svc.yaml @@ -0,0 +1,13 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app: web + name: web +spec: + ports: + - port: 80 + protocol: TCP + targetPort: 80 + selector: + app: web diff --git a/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web.yaml b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web.yaml new file mode 100644 index 00000000..99290fe5 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/k8s/web/web.yaml @@ -0,0 +1,42 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + app: web + name: web +spec: + replicas: 1 + selector: + matchLabels: + app: web + strategy: + type: RollingUpdate + rollingUpdate: + maxSurge: 1 + maxUnavailable: 1 + template: + metadata: + labels: + app: web + spec: + containers: + - image: web + name: web + readinessProbe: + httpGet: + scheme: HTTP + path: /index.html + port: 80 + initialDelaySeconds: 10 + periodSeconds: 5 + ports: + - containerPort: 80 + resources: + requests: + cpu: 100m + memory: 256Mi + limits: + cpu: 250m + memory: 521Mi + imagePullSecrets: + - name: ocir-secret diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/.terraform.lock.hcl b/apps/oci-generative-ai-jet-ui/deploy/terraform/.terraform.lock.hcl new file mode 100644 index 00000000..6e164f30 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/.terraform.lock.hcl @@ -0,0 +1,165 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/cloudinit" { + version = "2.3.6" + constraints = ">= 2.2.0" + hashes = [ + "h1:afnqn3XPnO40laFt+SVHPPKsg1j3HXT0VAO0xBVvmrY=", + "zh:1321b5ddede56be3f9b35bf75d7cda79adcb357fad62eb8677b6595e0baaa6cd", + "zh:265d66e61b9cd16ca1182ebf094cc0a08fb3687e8193a1dbac6899b16c237151", + "zh:3875c3a20e082ac55d5ff24bcaf7133ebc90c7f999fd0fb37cf0f0003474c94c", + "zh:68ce41ccd07757c451682703840cae1ec270ed5275cd491bbf8279782dfcbb73", + "zh:78d5eefdd9e494defcb3c68d282b8f96630502cac21d1ea161f53cfe9bb483b3", + 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"zh:d29a428214f1e9815bb2c1fa399c83f25dd8dff53879a7569c9cb6c5cb2d134e", + "zh:e8bb54acb7ced83eedac7456565334261644b083088059710648f935dbe84f14", + "zh:e94e4fcba63a8becca0c2523c1bb632742a6cf97f1c5df4a9ecd50f5f03074f8", + "zh:ff1d7cbf702574f0a85b561e266b06f59e01bf67a3449adf1024df9aacdb49b6", + ] +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/adb.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/adb.tf new file mode 100644 index 00000000..c6fe1719 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/adb.tf @@ -0,0 +1,63 @@ +variable "autonomous_database_db_workload" { + type = string + default = "OLTP" +} + +variable "autonomous_database_db_license" { + type = string + default = "BRING_YOUR_OWN_LICENSE" +} + +variable "autonomous_database_db_whitelisted_ips" { + type = list(string) + default = ["0.0.0.0/0"] # Don't do this in prod +} + +variable "autonomous_database_cpu_core_count" { + type = number + default = 1 +} + +variable "autonomous_database_data_storage_size_in_tbs" { + type = number + default = 1 +} + +resource "random_password" "adb_admin_password" { + length = 16 + special = true + min_numeric = 3 + min_special = 3 + min_lower = 3 + min_upper = 3 + override_special = "()-_[]{}?" +} + +resource "oci_database_autonomous_database" "adb" { + compartment_id = var.compartment_ocid + db_name = "${local.project_name}${local.deploy_id}" + + #Optional + admin_password = random_password.adb_admin_password.result + cpu_core_count = var.autonomous_database_cpu_core_count + data_storage_size_in_tbs = var.autonomous_database_data_storage_size_in_tbs + db_workload = var.autonomous_database_db_workload + display_name = "${local.project_name}${local.deploy_id}" + is_mtls_connection_required = true + whitelisted_ips = var.autonomous_database_db_whitelisted_ips + is_auto_scaling_enabled = true + license_model = var.autonomous_database_db_license +} + +# For mTLS and Wallet connectivity consider the following code + +resource "oci_database_autonomous_database_wallet" "adb_wallet" { + autonomous_database_id = oci_database_autonomous_database.adb.id + password = random_password.adb_admin_password.result + base64_encode_content = "true" +} + +resource "local_file" "adb_wallet_file" { + content_base64 = oci_database_autonomous_database_wallet.adb_wallet.content + filename = "${path.module}/generated/wallet.zip" +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/data.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/data.tf new file mode 100644 index 00000000..2e7a78c7 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/data.tf @@ -0,0 +1,28 @@ +data "oci_identity_tenancy" "tenant_details" { + tenancy_id = var.tenancy_ocid + + provider = oci +} + +data "oci_identity_region_subscriptions" "region_subscriptions" { + tenancy_id = var.tenancy_ocid + + provider = oci +} + +data "oci_identity_compartment" "compartment" { + id = var.compartment_ocid +} + +data "oci_identity_availability_domains" "ads" { + compartment_id = var.tenancy_ocid +} + +data "oci_objectstorage_namespace" "objectstorage_namespace" { + compartment_id = var.tenancy_ocid +} + + +data "oci_containerengine_cluster_option" "oke" { + cluster_option_id = "all" +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/iam.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/iam.tf new file mode 100644 index 00000000..e249e6e6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/iam.tf @@ -0,0 +1,62 @@ +locals { + oke_policy_name = "${local.project_name}_${local.deploy_id}_oke" + ocir_group_name = "${local.project_name}-${local.deploy_id}-group" +} + +# TODO restrict permissions, all gen ai family is too much +# but it doesn't seems to work in other than tenancy level +resource "oci_identity_policy" "allow-oke-genai-policy" { + provider = oci.home + compartment_id = var.tenancy_ocid + name = "${local.oke_policy_name}" + description = "Allow OKE workload to manage gen ai service for ${local.project_name} ${local.deploy_id}" + statements = [ + "Allow any-user to manage generative-ai-family in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}" + # "Allow any-user to manage generative-ai-chat in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", + # "Allow any-user to manage generative-ai-text-generation in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", + # "Allow any-user to manage generative-ai-text-summarization in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", + # "Allow any-user to manage generative-ai-text-embedding in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", + # "Allow any-user to manage generative-ai-work-request in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", + # "Allow any-user to manage generative-ai-model in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}" + ] +} + +resource "oci_identity_group" "ocir_group" { + provider = oci.home + compartment_id = var.tenancy_ocid + description = "Group for Oracle Container Image Registry users for ${local.project_name}${local.deploy_id}" + name = local.ocir_group_name +} + +resource "oci_identity_user" "ocir_user" { + provider = oci.home + compartment_id = var.tenancy_ocid + description = "User for pushing images to OCIR" + name = "${local.project_name}-${local.deploy_id}-ocir-user" + + email = "${local.project_name}-${local.deploy_id}-ocir-user@example.com" +} + +resource "oci_identity_user_group_membership" "ocir_user_group_membership" { + provider = oci.home + group_id = oci_identity_group.ocir_group.id + user_id = oci_identity_user.ocir_user.id +} + +resource "oci_identity_auth_token" "ocir_user_auth_token" { + provider = oci.home + description = "User Auth Token to publish images to OCIR" + user_id = oci_identity_user.ocir_user.id +} + +// FIXME allowing manage repos in tenancy, compartment will throw a 403 when pushing image +// FIXME make it compartment specific +resource "oci_identity_policy" "manage_ocir_compartment" { + provider = oci.home + compartment_id = var.tenancy_ocid + name = "manage_ocir_in_compartment_for_${local.project_name}_${random_string.deploy_id.result}" + description = "Allow group to manage ocir at compartment level for ${local.project_name} ${random_string.deploy_id.result}" + statements = [ + "allow group ${local.ocir_group_name} to manage repos in tenancy", + ] +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/main.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/main.tf new file mode 100644 index 00000000..95a39f02 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/main.tf @@ -0,0 +1,6 @@ +locals { + project_name = var.project_name + deploy_id = random_string.deploy_id.result + anywhere = "0.0.0.0/0" + tcp = "6" +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/oke.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/oke.tf new file mode 100644 index 00000000..fa4e69b0 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/oke.tf @@ -0,0 +1,131 @@ +locals { + cluster_k8s_latest_version = reverse(sort(data.oci_containerengine_cluster_option.oke.kubernetes_versions))[0] + lb_subnet_cidr = "10.22.128.0/27" + workers_subnet_cidr = "10.22.144.0/20" + cp_subnet_cidr = "10.22.0.8/29" + vcn_cidr = "10.22.0.0/16" +} + +module "oke" { + source = "oracle-terraform-modules/oke/oci" + version = "5.2.4" + + tenancy_id = var.tenancy_ocid + compartment_id = var.compartment_ocid + region = var.region + home_region = var.tenancy_ocid + + providers = { + oci = oci + oci.home = oci.home + } + + kubernetes_version = local.cluster_k8s_latest_version + cluster_name = "${local.project_name}-${local.deploy_id}-oke" + vcn_name = "${local.project_name}-${local.deploy_id}-vcn" + + assign_public_ip_to_control_plane = true + control_plane_is_public = true + control_plane_allowed_cidrs = ["0.0.0.0/0"] + + create_bastion = false + create_operator = false + + ssh_private_key_path = var.ssh_private_key_path + ssh_public_key = var.ssh_public_key + + # IAM - Policies + create_iam_autoscaler_policy = "never" + create_iam_kms_policy = "never" + create_iam_operator_policy = "never" + create_iam_worker_policy = "never" + # Network module - VCN + subnets = { + bastion = { + create = "never" + } + operator = { + create = "never" + } + cp = { + create = "always", + cidr = local.cp_subnet_cidr + } + pub_lb = { + create = "always", + cidr = local.lb_subnet_cidr + } + workers = { + create = "always", + cidr = local.workers_subnet_cidr + } + int_lb = { + create = "never" + } + pods = { + create = "never" + } + } + nsgs = { + bastion = { create = "never" } + operator = { create = "never" } + cp = { create = "always" } + int_lb = { create = "never" } + pub_lb = { create = "always" } // never + workers = { create = "always" } + pods = { create = "always" } // never + } + + assign_dns = true + create_vcn = true + vcn_cidrs = [local.vcn_cidr] + vcn_dns_label = "oke" + + # lockdown_default_seclist = true + # allow_rules_public_lb = { + # "Allow TCP ingress to public load balancers for HTTPS traffic from anywhere" : { protocol = 6, port = 443, source = "0.0.0.0/0", source_type = "CIDR_BLOCK" }, + # "Allow TCP ingress to public load balancers for HTTP traffic from anywhere" : { protocol = 6, port = 80, source = "0.0.0.0/0", source_type = "CIDR_BLOCK" } + # } + # Network module - security + # allow_node_port_access = true + # allow_worker_internet_access = true + # allow_worker_ssh_access = true + # enable_waf = false + # load_balancers = "public" + # preferred_load_balancer = "public" + # worker_is_public = false + + # Cluster module + create_cluster = true + cni_type = "npn" + cluster_type = "enhanced" + + pods_cidr = "10.244.0.0/16" + services_cidr = "10.96.0.0/16" + use_signed_images = false + use_defined_tags = false + + # Workers + worker_pool_mode = "node-pool" + worker_pool_size = 2 + + worker_pools = { + node_pool_1 = { + shape = "VM.Standard.E5.Flex", + ocpus = 1, + memory = 32, + boot_volume_size = 120, + create = true + } + } +} + +data "oci_containerengine_cluster_kube_config" "kube_config" { + cluster_id = module.oke.cluster_id +} + + +resource "local_file" "kubeconfig" { + content = data.oci_containerengine_cluster_kube_config.kube_config.content + filename = "${path.module}/generated/kubeconfig" +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/outputs.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/outputs.tf new file mode 100644 index 00000000..b6e73d15 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/outputs.tf @@ -0,0 +1,36 @@ + +output "project" { + value = "${var.project_name}${random_string.deploy_id.result}" +} + +output "db_service" { + value = "${local.project_name}${local.deploy_id}" +} + +output "db_password" { + value = random_password.adb_admin_password.result + sensitive = true +} + +output "kubeconfig" { + value = data.oci_containerengine_cluster_kube_config.kube_config.content + sensitive = true +} + +output "oke_cluster_ocid" { + value = module.oke.cluster_id +} + +output "ocir_user" { + value = oci_identity_user.ocir_user.name +} + +output "ocir_user_token" { + sensitive = true + value = oci_identity_auth_token.ocir_user_auth_token.token +} + +output "ocir_user_email" { + sensitive = false + value = oci_identity_user.ocir_user.email +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/provider.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/provider.tf new file mode 100644 index 00000000..4da8e6a0 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/provider.tf @@ -0,0 +1,17 @@ +locals { + home_region_key = [for key, value in data.oci_identity_region_subscriptions.region_subscriptions.region_subscriptions: key if value.is_home_region == true][0] + home_region = data.oci_identity_region_subscriptions.region_subscriptions.region_subscriptions[local.home_region_key] +} + +provider "oci" { + tenancy_ocid = var.tenancy_ocid + region = var.region + config_file_profile = var.config_file_profile +} + +provider "oci" { + alias = "home" + tenancy_ocid = var.tenancy_ocid + region = local.home_region.region_name + config_file_profile = var.config_file_profile +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/random.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/random.tf new file mode 100644 index 00000000..7f815a1c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/random.tf @@ -0,0 +1,5 @@ +resource "random_string" "deploy_id" { + length = 2 + special = false + upper = false +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/storage.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/storage.tf new file mode 100644 index 00000000..ea1f5e66 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/storage.tf @@ -0,0 +1,22 @@ +resource "oci_objectstorage_bucket" "artifacts_bucket" { + compartment_id = var.compartment_ocid + name = "artifacts_${local.project_name}_${local.deploy_id}" + namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace +} + +resource "oci_objectstorage_object" "wallet_object" { + bucket = oci_objectstorage_bucket.artifacts_bucket.name + content = oci_database_autonomous_database_wallet.adb_wallet.content + namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace + object = "wallet.zip.b64" +} + + +resource "oci_objectstorage_preauthrequest" "wallet_par" { + namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace + bucket = oci_objectstorage_bucket.artifacts_bucket.name + name = "wallet_par" + access_type = "ObjectRead" + object_name = oci_objectstorage_object.wallet_object.object + time_expires = timeadd(timestamp(), "${var.artifacts_par_expiration_in_days * 24}h") +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/terraform.tfvars.mustache b/apps/oci-generative-ai-jet-ui/deploy/terraform/terraform.tfvars.mustache new file mode 100644 index 00000000..5fc35a72 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/terraform.tfvars.mustache @@ -0,0 +1,8 @@ +region = "{{ regionName }}" +tenancy_ocid = "{{ tenancyId }}" +config_file_profile = "{{ profile }}" +compartment_ocid = "{{ compartmentId }}" +ssh_public_key = "{{{ ssh_public_key }}}" +ssh_private_key_path = "{{{ ssh_private_key_path }}}" +cert_fullchain = "{{{ cert_fullchain }}}" +cert_private_key = "{{{ cert_private_key }}}" diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/variables.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/variables.tf new file mode 100644 index 00000000..e590d957 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/variables.tf @@ -0,0 +1,42 @@ +variable "tenancy_ocid" { + type = string +} + +variable "region" { + type = string + default = "us-chicago-1" +} + +variable "config_file_profile" { + type = string +} + +variable "compartment_ocid" { + type = string +} + +variable "cert_fullchain" { + type = string +} + +variable "cert_private_key" { + type = string +} + +variable "ssh_private_key_path" { + type = string +} + +variable "ssh_public_key" { + type = string +} + +variable "project_name" { + type = string + default = "genai" +} + +variable "artifacts_par_expiration_in_days" { + type = number + default = 7 +} diff --git a/apps/oci-generative-ai-jet-ui/deploy/terraform/versions.tf b/apps/oci-generative-ai-jet-ui/deploy/terraform/versions.tf new file mode 100644 index 00000000..2c9757dc --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/deploy/terraform/versions.tf @@ -0,0 +1,19 @@ +terraform { + required_providers { + oci = { + source = "oracle/oci" + version = "~> 6.30" + configuration_aliases = [oci.home] + } + local = { + source = 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a/apps/oci-generative-ai-jet-ui/license_policy.yml b/apps/oci-generative-ai-jet-ui/license_policy.yml new file mode 100644 index 00000000..b641e655 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/license_policy.yml @@ -0,0 +1,25 @@ +license_policies: + - license_key: upl-1.0 + label: Approved License + color_code: "#00800" + icon: icon-ok-circle + - license_key: bsd-simplified + label: Approved License + color_code: "#00800" + icon: icon-ok-circle + - license_key: bsd-new + label: Approved License + color_code: "#00800" + icon: icon-ok-circle + - license_key: mit + label: Approved License + color_code: "#00800" + icon: icon-ok-circle + - license_key: apache-1.1 + label: Approved License + color_code: "#00800" + icon: icon-ok-circle + - license_key: apache-2.0 + label: Approved License + color_code: "#00800" + icon: icon-ok-circle diff --git a/apps/oci-generative-ai-jet-ui/release_files.json b/apps/oci-generative-ai-jet-ui/release_files.json new file mode 100644 index 00000000..8cf7d73f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/release_files.json @@ -0,0 +1,2 @@ +// see https://github.com/oracle-devrel/action-release-zip-maker for docs +[] diff --git a/apps/oci-generative-ai-jet-ui/repolinter.json b/apps/oci-generative-ai-jet-ui/repolinter.json new file mode 100644 index 00000000..3576092c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/repolinter.json @@ -0,0 +1,68 @@ +{ + "$schema": "https://raw.githubusercontent.com/todogroup/repolinter/master/rulesets/schema.json", + "version": 2, + "axioms": {}, + "rules": { + "readme-file-exists": { + "level": "error", + "rule": { + "type": "file-existence", + "options": { + "globsAny": ["README*"] + } + } + }, + "disclaimer-present": { + "level": "error", + "rule": { + "type": "file-contents", + "options": { + "globsAll": ["README*"], + "noCase": true, + "fail-on-non-existent": true, + "content": "ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND" + } + } + }, + "license-file-exists": { + "level": "error", + "rule": { + "type": "file-existence", + "options": { + "globsAny": ["LICENSE*"] + } + } + }, + "copyright-notice-present": { + "level": "warning", + "rule": { + "type": "file-starts-with", + "options": { + "globsAll": ["**/*"], + "skip-binary-files": true, + "skip-paths-matching": { + "extensions": [ + "yaml", + "yml", + "md", + "json", + "xml", + "tpl", + "ipynb", + "pickle", + "joblib", + "properties" + ], + "patterns": ["\\.github"], + "flags": "" + }, + "lineCount": 2, + "patterns": [ + "Copyright \\([cC]\\) [12][90]\\d\\d(\\-[12][90]\\d\\d)? Oracle and/or its affiliates\\." + ], + "succeed-on-non-exist": true + } + } + } + } +} diff --git a/apps/oci-generative-ai-jet-ui/scripts/clean.mjs b/apps/oci-generative-ai-jet-ui/scripts/clean.mjs new file mode 100644 index 00000000..c283334f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/clean.mjs @@ -0,0 +1,40 @@ +#!/usr/bin/env zx +import Configstore from "configstore"; +import clear from "clear"; + +$.verbose = false; + +clear(); +console.log("Clean up config files, certs, ssh keys and Object Storage bucket..."); + +const projectName = "genai"; + +const config = new Configstore(projectName, { projectName }); + +const privateKeyPath = config.get("privateKeyPath"); +await $`rm -f ${privateKeyPath}`; +const publicKeyPath = config.get("publicKeyPath"); +await $`rm -f ${publicKeyPath}`; + +const certPath = path.join(__dirname, "..", ".certs"); +await $`rm -rf ${certPath}`; + +await $`rm -f deploy/k8s/backend/application.yaml`; +await $`rm -f deploy/k8s/overlays/prod/kustomization.yaml`; + +const certsK8sPath = "deploy/k8s/ingress/.certs"; +await $`rm -rf ${certsK8sPath}`; +console.log(`Files in ${chalk.green(certsK8sPath)} deleted`); +const walletK8sPath = "deploy/k8s/backend/wallet"; +await $`rm -rf ${walletK8sPath}`; +console.log(`Files in ${chalk.green(walletK8sPath)} deleted`); + +// TODO delete images pushed +// ${regionKey}.ocir.io/${namespace}/${projectName}/web:${webVersion} +// ${regionKey}.ocir.io/${namespace}/${projectName}/backend:${backendBersion} + +await $`rm -rf ./.artifacts`; +await $`rm -rf ./.certs`; +await $`rm -rf ./deploy/terraform/generated/wallet`; + +config.clear(); diff --git a/apps/oci-generative-ai-jet-ui/scripts/kustom.mjs b/apps/oci-generative-ai-jet-ui/scripts/kustom.mjs new file mode 100644 index 00000000..6f5201ba --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/kustom.mjs @@ -0,0 +1,165 @@ +#!/usr/bin/env zx +import Configstore from "configstore"; +import clear from "clear"; +import Mustache from "mustache"; +import { parse, stringify } from "yaml"; +import { readFile, writeFile } from "node:fs/promises"; +import { getOutputValues } from "./lib/terraform.mjs"; +import { exitWithError } from "./lib/utils.mjs"; + +$.verbose = false; + +clear(); +console.log("Create kustomization configuration..."); + +const projectName = "genai"; + +const config = new Configstore(projectName, { projectName }); + +const compartmentId = config.get("compartmentId"); +const namespace = config.get("namespace"); +const profile = config.get("profile"); +const regionName = config.get("regionName"); +const regionKey = config.get("regionKey"); +const webVersion = config.get("webVersion"); +const appVersion = config.get("appVersion"); +const backendVersion = config.get("backendVersion"); +const certFullchain = config.get("certFullchain"); +const certPrivateKey = config.get("certPrivateKey"); +const genAiModelChat = config.get("genAiModelChat"); +const genAiModelSummarization = config.get("genAiModelSummarization"); + +const { db_service, db_password } = await getOutputValues("./deploy/terraform"); + +await addProfileToKubeconfig(profile); +await createBackendProperties(); +await createProdKustomization(); +await copyCerts(); +await copyWallet(); + +const namespaceName = "backend"; +await createNamespace(namespaceName); +await createRegistrySecret(); + +async function createBackendProperties() { + const backendPropertiesPath = "deploy/k8s/backend/application.yaml"; + + const backendPropertiesTemplate = await fs.readFile(`${backendPropertiesPath}.mustache`, "utf-8"); + + const backendPropertiesOutput = Mustache.render(backendPropertiesTemplate, { + db_service: db_service, + db_password: db_password, + path_to_wallet: "/wallet", + region_name: regionName, + compartment_ocid: compartmentId, + genai_model_chat_ocid: genAiModelChat, + genai_model_summarization_ocid: genAiModelSummarization, + }); + + await fs.writeFile(backendPropertiesPath, backendPropertiesOutput); + + console.log(`File ${chalk.green(backendPropertiesPath)} created`); +} + +async function createProdKustomization() { + const prodKustomizationPath = "deploy/k8s/overlays/prod/kustomization.yaml"; + + const prodKustomizationTemplate = await fs.readFile(`${prodKustomizationPath}.mustache`, "utf-8"); + + const prodKustomizationOutput = Mustache.render(prodKustomizationTemplate, { + region_key: regionKey, + tenancy_namespace: namespace, + project_name: projectName, + app_version: appVersion, + web_version: webVersion, + backend_version: backendVersion, + }); + + await fs.writeFile(prodKustomizationPath, prodKustomizationOutput); + + console.log(`File ${chalk.green(prodKustomizationPath)} created`); +} + +async function copyCerts() { + const ingressCertsPath = "deploy/k8s/ingress/.certs"; + await $`mkdir -p ${ingressCertsPath}`; + await $`cp ${certFullchain} ${ingressCertsPath}/`; + console.log(`File ${chalk.green(certFullchain)} copied`); + await $`cp ${certPrivateKey} ${ingressCertsPath}/`; + console.log(`File ${chalk.green(certPrivateKey)} copied`); +} + +async function copyWallet() { + const backendWalletPath = "deploy/k8s/backend/wallet"; + await $`mkdir -p ${backendWalletPath}`; + const walletSourcePath = "deploy/terraform/generated/wallet.zip"; + await $`cp ${walletSourcePath} ${backendWalletPath}/`; + console.log(`File ${chalk.green(walletSourcePath)} copied`); +} + +async function createNamespace(namespaceName = "default") { + try { + const { exitCode, stdout } = await $`KUBECONFIG="deploy/terraform/generated/kubeconfig" \ + kubectl create ns ${namespaceName} -o yaml \ + --dry-run=client | \ + KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl apply -f -`; + if (exitCode !== 0) { + exitWithError("namespace not created"); + } else { + console.log( + `Namespace ${chalk.green(namespaceName)} created on Kubernetes cluster: ${stdout}` + ); + } + } catch (error) { + exitWithError(error.stderr); + } +} + +async function createRegistrySecret() { + const user = config.get("ocir_user"); + const email = config.get("ocir_user_email"); + const token = config.get("ocir_user_token"); + try { + const { exitCode, stdout } = + await $`KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl \ + create secret docker-registry ocir-secret \ + --save-config \ + --dry-run=client \ + --docker-server=${regionKey}.ocir.io \ + --docker-username=${namespace}/${user} \ + --docker-password=${token} \ + --docker-email=${email} \ + -n ${namespaceName} \ + -o yaml | \ + KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl apply -f -`; + if (exitCode !== 0) { + exitWithError("docker-registry ocir-secret secret not created"); + } else { + console.log(`Secret ${chalk.green("ocir-secret")} created on Kubernetes cluster: ${stdout}`); + } + } catch (error) { + exitWithError(error.stderr); + } +} + +async function addProfileToKubeconfig(profile = "DEFAULT") { + if (profile === "DEFAULT") return; + + const kubeconfigPath = "./deploy/terraform/generated/kubeconfig"; + + let yamlContent = await readFile(kubeconfigPath, { + encoding: "utf-8", + }); + + const profileFlag = "--profile"; + const profileValue = profile; + + const kubeconfig = parse(yamlContent); + const execArgs = kubeconfig.users[0].user.exec.args; + kubeconfig.users[0].user.exec.args = [...execArgs, profileFlag, profileValue]; + const newKubeconfigContent = stringify(kubeconfig); + + await writeFile(kubeconfigPath, newKubeconfigContent, { + encoding: "utf-8", + }); +} diff --git a/apps/oci-generative-ai-jet-ui/scripts/package-lock.json b/apps/oci-generative-ai-jet-ui/scripts/package-lock.json new file mode 100644 index 00000000..7ebe3226 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/package-lock.json @@ -0,0 +1,975 @@ +{ + "name": "scripts", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "scripts", + "version": "1.0.0", + "license": "ISC", + "dependencies": { + "clear": 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/dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/release.mjs @@ -0,0 +1,94 @@ +#!/usr/bin/env zx +import Configstore from "configstore"; +import clear from "clear"; +import { buildJarGradle, cleanGradle, getVersionGradle } from "./lib/gradle.mjs"; +import { getNpmVersion } from "./lib/npm.mjs"; +import { + buildImage, + tagImage, + pushImage, + checkPodmanMachineRunning, + containerLogin, +} from "./lib/container.mjs"; +import { getOutputValues } from "./lib/terraform.mjs"; + +$.verbose = false; + +clear(); +console.log("Release latest backend and web version..."); + +const projectName = "genai"; + +const config = new Configstore(projectName, { projectName }); + +const namespace = config.get("namespace"); +const regionKey = config.get("regionKey"); + +const pwdOutput = (await $`pwd`).stdout.trim(); +await cd(`${pwdOutput}/web`); +const webVersion = await getNpmVersion(); +config.set("webVersion", webVersion); +await cd(`${pwdOutput}/app`); +const appVersion = await getNpmVersion(); +config.set("appVersion", appVersion); +await cd(`${pwdOutput}/backend`); +const backendVersion = await getVersionGradle(); +config.set("backendVersion", backendVersion); +await cd(pwdOutput); + +await checkPodmanMachineRunning(); + +const ocirUrl = `${regionKey}.ocir.io`; + +// FIXME use OCI Vault for the token +const { ocir_user, ocir_user_token, ocir_user_email } = await getOutputValues("./deploy/terraform"); +config.set("ocir_user", ocir_user); +config.set("ocir_user_email", ocir_user_email); +config.set("ocir_user_token", ocir_user_token); + +await containerLogin(namespace, ocir_user, ocir_user_token, ocirUrl); +await releaseWeb(); +await releaseApp(); +await releaseBackend(); + +async function releaseWeb() { + const service = "web"; + await cd(service); + const imageName = `${projectName}/${service}`; + await buildImage(`localhost/${imageName}`, webVersion); + const localImage = `localhost/${imageName}:${webVersion}`; + const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${webVersion}`; + await tagImage(localImage, remoteImage); + await pushImage(remoteImage); + console.log(`${chalk.green(remoteImage)} pushed`); + await cd(".."); +} + +async function releaseApp() { + const service = "app"; + await cd(service); + const imageName = `${projectName}/${service}`; + await buildImage(`localhost/${imageName}`, appVersion); + const localImage = `localhost/${imageName}:${appVersion}`; + const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${appVersion}`; + await tagImage(localImage, remoteImage); + await pushImage(remoteImage); + console.log(`${chalk.green(remoteImage)} pushed`); + await cd(".."); +} + +async function releaseBackend() { + const service = "backend"; + await cd(service); + await cleanGradle(); + await buildJarGradle(); + const currentVersion = await getVersionGradle(); + const imageName = `${projectName}/${service}`; + await buildImage(`localhost/${imageName}`, currentVersion); + const localImage = `localhost/${imageName}:${currentVersion}`; + const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${currentVersion}`; + await tagImage(localImage, remoteImage); + await pushImage(remoteImage); + console.log(`${chalk.green(remoteImage)} pushed`); + await cd(".."); +} diff --git a/apps/oci-generative-ai-jet-ui/scripts/setenv.mjs b/apps/oci-generative-ai-jet-ui/scripts/setenv.mjs new file mode 100644 index 00000000..91b6efb6 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/setenv.mjs @@ -0,0 +1,186 @@ +#!/usr/bin/env zx +import moment from "moment"; +import { readFile } from "node:fs/promises"; +import { parse as iniParse } from "ini"; +import Configstore from "configstore"; +import inquirer from "inquirer"; +import clear from "clear"; +import { + getLatestGenAIModels, + getNamespace, + getRegions, + searchCompartmentIdByName, +} from "./lib/oci.mjs"; +import { createSSHKeyPair, createSelfSignedCert } from "./lib/crypto.mjs"; + +$.verbose = false; + +clear(); +console.log("Set up environment..."); + +const projectName = "genai"; + +const config = new Configstore(projectName, { projectName }); + +await selectProfile(); +const profile = config.get("profile"); +const tenancyId = config.get("tenancyId"); + +await setNamespaceEnv(); +await setRegionEnv(); +const regionName = config.get("regionName"); +await setCompartmentEnv(); +const compartmentId = config.get("compartmentId"); + +await createSSHKeys(projectName); +await createCerts(); +await setLatestGenAIModelChat(); +await setLatestGenAIModelSummarization(); + +console.log(`\nConfiguration file saved in: ${chalk.green(config.path)}`); + +async function selectProfile() { + let ociConfigFile = await readFile(`${os.homedir()}/.oci/config`, { + encoding: "utf-8", + }); + + const ociConfig = iniParse(ociConfigFile); + const profileList = Object.keys(ociConfig); + + if (profileList.length === 1) { + config.set("profile", profileList[0]); + config.set("tenancyId", ociConfig[profileList[0]].tenancy); + } else { + await inquirer + .prompt([ + { + type: "list", + name: "profile", + message: "Select the OCI Config Profile", + choices: profileList, + }, + ]) + .then((answers) => { + config.set("profile", answers.profile); + config.set("tenancyId", ociConfig[answers.profile].tenancy); + }); + } +} + +async function setNamespaceEnv() { + const namespace = await getNamespace(profile); + config.set("namespace", namespace); +} + +async function setRegionEnv() { + const listSubscribedRegions = (await getRegions(profile, tenancyId)).sort( + (r1, r2) => r1.isHomeRegion > r2.isHomeRegion + ); + + const listWithGenAISupportingRegions = listSubscribedRegions.filter((r) => r.key === "ord"); + + if (listWithGenAISupportingRegions.length === 1) { + config.set("regionName", listWithGenAISupportingRegions[0].name); + config.set("regionKey", listWithGenAISupportingRegions[0].key); + } else { + await inquirer + .prompt([ + { + type: "list", + name: "region", + message: "Select the region", + choices: listWithGenAISupportingRegions.map((r) => r.name), + filter(val) { + return listWithGenAISupportingRegions.find((r) => r.name === val); + }, + }, + ]) + .then((answers) => { + config.set("regionName", answers.region.name); + config.set("regionKey", answers.region.key); + }); + } +} + +async function setCompartmentEnv() { + await inquirer + .prompt([ + { + type: "input", + name: "compartmentName", + message: "Compartment Name", + default() { + return "root"; + }, + }, + ]) + .then(async (answers) => { + const compartmentName = answers.compartmentName; + const compartmentId = await searchCompartmentIdByName(profile, compartmentName || "root"); + config.set("compartmentName", compartmentName); + config.set("compartmentId", compartmentId); + }); +} + +async function createSSHKeys(name) { + const sshPathParam = path.join(os.homedir(), ".ssh", name); + const publicKeyContent = await createSSHKeyPair(sshPathParam); + config.set("privateKeyPath", sshPathParam); + config.set("publicKeyContent", publicKeyContent); + config.set("publicKeyPath", `${sshPathParam}.pub`); + console.log(`SSH key pair created: ${chalk.green(sshPathParam)}`); +} + +async function createCerts() { + const certPath = path.join(__dirname, "..", ".certs"); + await $`mkdir -p ${certPath}`; + await createSelfSignedCert(certPath); + config.set("certFullchain", path.join(certPath, "tls.crt")); + config.set("certPrivateKey", path.join(certPath, "tls.key")); +} + +async function setLatestGenAIModelChat() { + const latestVersionModel = await getLatestGenAIModels( + profile, + compartmentId, + regionName, + "cohere", + "CHAT" + ); + + const { id, vendor: vendorName, version, capabilities } = latestVersionModel; + const displayName = latestVersionModel["display-name"]; + const timeCreated = moment(latestVersionModel["time-created"]).fromNow(); + console.log( + `Using GenAI Model ${chalk.green(vendorName)}:${chalk.green( + version + )} (${chalk.green(displayName)}) with ${chalk.green( + capabilities.join(",") + )} created ${timeCreated} (${id})` + ); + + config.set("genAiModelChat", id); +} + +async function setLatestGenAIModelSummarization() { + const latestVersionModel = await getLatestGenAIModels( + profile, + compartmentId, + regionName, + "cohere", + "CHAT" + ); + + const { id, vendor: vendorName, version, capabilities } = latestVersionModel; + const displayName = latestVersionModel["display-name"]; + const timeCreated = moment(latestVersionModel["time-created"]).fromNow(); + console.log( + `Using GenAI Model ${chalk.green(vendorName)}:${chalk.green( + version + )} (${chalk.green(displayName)}) with ${chalk.green( + capabilities.join(",") + )} created ${timeCreated} (${id})` + ); + + config.set("genAiModelSummarization", id); +} diff --git a/apps/oci-generative-ai-jet-ui/scripts/tfvars.mjs b/apps/oci-generative-ai-jet-ui/scripts/tfvars.mjs new file mode 100644 index 00000000..bea89cb1 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/scripts/tfvars.mjs @@ -0,0 +1,56 @@ +#!/usr/bin/env zx +import Mustache from "mustache"; +import Configstore from "configstore"; +import clear from "clear"; + +$.verbose = false; + +clear(); +console.log("Create terraform.tfvars..."); + +const projectName = "genai"; + +const config = new Configstore(projectName, { projectName }); + +await generateTFVars(); + +async function generateTFVars() { + const compartmentId = config.get("compartmentId"); + const compartmentName = config.get("compartmentName"); + const profile = config.get("profile"); + const regionName = config.get("regionName"); + const tenancyId = config.get("tenancyId"); + const publicKeyContent = config.get("publicKeyContent"); + const sshPrivateKeyPath = config.get("privateKeyPath"); + const certFullchain = config.get("certFullchain"); + const certPrivateKey = config.get("certPrivateKey"); + + const tfVarsPath = "deploy/terraform/terraform.tfvars"; + + const tfvarsTemplate = await fs.readFile(`${tfVarsPath}.mustache`, "utf-8"); + + const output = Mustache.render(tfvarsTemplate, { + tenancyId, + regionName, + compartmentId, + profile, + ssh_public_key: publicKeyContent, + ssh_private_key_path: sshPrivateKeyPath, + cert_fullchain: certFullchain, + cert_private_key: certPrivateKey, + }); + + console.log( + `Terraform will deploy resources in ${chalk.green(regionName)} in compartment ${ + compartmentName ? chalk.green(compartmentName) : chalk.green("root") + }` + ); + + await fs.writeFile(tfVarsPath, output); + + console.log(`File ${chalk.green(tfVarsPath)} created`); + + console.log(`1. ${chalk.yellow("cd deploy/terraform/")}`); + console.log(`2. ${chalk.yellow("terraform init")}`); + console.log(`3. ${chalk.yellow("terraform apply -auto-approve")}`); +} diff --git a/apps/oci-generative-ai-jet-ui/serverStart.sh b/apps/oci-generative-ai-jet-ui/serverStart.sh new file mode 100755 index 00000000..6bdeb222 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/serverStart.sh @@ -0,0 +1,5 @@ +cd service/python/ +python3 -m venv venv +. venv/bin/activate +pip install -r requirements.txt +python server.py diff --git a/apps/oci-generative-ai-jet-ui/service/python/.gitignore b/apps/oci-generative-ai-jet-ui/service/python/.gitignore new file mode 100644 index 00000000..911bedd4 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/service/python/.gitignore @@ -0,0 +1,36 @@ +# General +.DS_Store +.AppleDouble +.LSOverride + +# Icon must end with two \r +Icon + + +# Thumbnails +._* + +# Files that might appear in the root of a volume +.DocumentRevisions-V100 +.fseventsd +.Spotlight-V100 +.TemporaryItems +.Trashes +.VolumeIcon.icns +.com.apple.timemachine.donotpresent + +# Directories potentially created on remote AFP share +.AppleDB +.AppleDesktop +Network Trash Folder +Temporary Items +.apdisk + +# ignore common security keys +.key +.crt +.csr +.pem + +#temp directory ignore +venv/ diff --git a/apps/oci-generative-ai-jet-ui/service/python/requirements.txt b/apps/oci-generative-ai-jet-ui/service/python/requirements.txt new file mode 100644 index 00000000..296974a3 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/service/python/requirements.txt @@ -0,0 +1,17 @@ +asn1crypto==1.5.1 +asyncio==3.4.3 +cached-property==1.5.2 +certifi==2024.7.4 +cffi==1.16.0 +circuitbreaker==1.4.0 +cryptography==43.0.1 +oci==2.126.2 +pycparser==2.21 +pyOpenSSL==24.1.0 +python-dateutil==2.8.2 +python-pkcs11==0.7.0 +pytz==2023.3.post1 +six==1.16.0 +throttler==1.2.2 +websockets==12.0 +pypdf==4.2.0 diff --git a/apps/oci-generative-ai-jet-ui/service/python/server.py b/apps/oci-generative-ai-jet-ui/service/python/server.py new file mode 100644 index 00000000..1a7de7c3 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/service/python/server.py @@ -0,0 +1,142 @@ +import asyncio +import json +import re +from io import BytesIO +from types import SimpleNamespace + +import websockets +from pypdf import PdfReader +from throttler import throttle + +import oci + +# TODO: Please update config profile name and use the compartmentId that has policies grant permissions for using Generative AI Service +compartment_id = "" +CONFIG_PROFILE = "DEFAULT" +config = oci.config.from_file("~/.oci/config", CONFIG_PROFILE) + +# Service endpoint +endpoint = "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" +generative_ai_inference_client = oci.generative_ai_inference.GenerativeAiInferenceClient( + config=config, + service_endpoint=endpoint, + retry_strategy=oci.retry.NoneRetryStrategy(), + timeout=(10, 240), +) + + +@throttle(rate_limit=15, period=65.0) +async def generate_ai_response(prompts): + prompt = "" + llm_inference_request = oci.generative_ai_inference.models.CohereLlmInferenceRequest() + llm_inference_request.prompt = prompts + llm_inference_request.max_tokens = 1000 + llm_inference_request.temperature = 0.75 + llm_inference_request.top_p = 0.7 + llm_inference_request.frequency_penalty = 1.0 + + generate_text_detail = oci.generative_ai_inference.models.GenerateTextDetails() + generate_text_detail.serving_mode = oci.generative_ai_inference.models.DedicatedServingMode( + endpoint_id="ocid1.generativeaiendpoint.oc1.us-chicago-1.amaaaaaaeras5xiavrsefrftfupp42lnniddgjnxuwbv5jypl64i7ktan65a" + ) + + generate_text_detail.compartment_id = compartment_id + generate_text_detail.inference_request = llm_inference_request + + if "" in compartment_id: + print("ERROR:Please update your compartment id in target python file") + quit() + + generate_text_response = generative_ai_inference_client.generate_text(generate_text_detail) + # Print result + print("**************************Generate Texts Result**************************") + print(vars(generate_text_response)) + + return generate_text_response + + +@throttle(rate_limit=15, period=65.0) +async def generate_ai_summary(summary_txt, prompt): + # You can also load the summary text from a file, or as a parameter in main + # with open('files/summarize_data.txt', 'r') as file: + # text_to_summarize = file.read() + + summarize_text_detail = oci.generative_ai_inference.models.SummarizeTextDetails() + summarize_text_detail.serving_mode = oci.generative_ai_inference.models.OnDemandServingMode( + model_id="cohere.command" + ) + summarize_text_detail.compartment_id = compartment_id + # summarize_text_detail.input = text_to_summarize + summarize_text_detail.input = summary_txt + summarize_text_detail.additional_command = prompt + summarize_text_detail.extractiveness = "AUTO" # HIGH, LOW + summarize_text_detail.format = "AUTO" # brackets, paragraph + summarize_text_detail.length = "LONG" # high, AUTO + summarize_text_detail.temperature = 0.25 # [0,1] + + if "" in compartment_id: + print("ERROR:Please update your compartment id in target python file") + quit() + + summarize_text_response = generative_ai_inference_client.summarize_text(summarize_text_detail) + + # Print result + # print("**************************Summarize Texts Result**************************") + # print(summarize_text_response.data) + + return summarize_text_response.data + + +async def parse_pdf(file: BytesIO) -> list[str]: + pdf = PdfReader(file) + output = [] + for page in pdf.pages: + text = page.extract_text() + # Merge hyphenated words + text = re.sub(r"(\w+)-\n(\w+)", r"\1\2", text) + # Fix newlines in the middle of sentences + text = re.sub(r"(? + + + + + + OCI GenAI PoC + + +

      + + + diff --git a/apps/oci-generative-ai-jet-ui/web/nginx/default.conf b/apps/oci-generative-ai-jet-ui/web/nginx/default.conf new file mode 100644 index 00000000..c20b9872 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/nginx/default.conf @@ -0,0 +1,14 @@ +server { + listen 80; + + location / { + root /usr/share/nginx/html; + index index.html index.htm; + try_files $uri $uri/ /index.html; + } + + error_page 500 502 503 504 /50x.html; + location = /50x.html { + root /usr/share/nginx/html; + } +} diff --git a/apps/oci-generative-ai-jet-ui/web/package-lock.json b/apps/oci-generative-ai-jet-ui/web/package-lock.json new file mode 100644 index 00000000..8978c0b5 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/package-lock.json @@ -0,0 +1,4802 @@ +{ + "name": "web", + "version": "0.0.4", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "web", + "version": "0.0.4", + "dependencies": { + "@emotion/react": "^11.11.3", + "@emotion/styled": 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Jd1i!s{y**bvkCwJ literal 0 HcmV?d00001 diff --git a/apps/oci-generative-ai-jet-ui/web/src/App.jsx b/apps/oci-generative-ai-jet-ui/web/src/App.jsx new file mode 100644 index 00000000..d8a1a142 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/App.jsx @@ -0,0 +1,39 @@ +import { Container, Typography } from "@mui/material"; +import { StompProvider } from "./stompHook"; +import Routing from "./Routing"; +import { v4 as uuidv4 } from "uuid"; +import IdentityContext from "./IdentityContext"; + +let conversationId; +if (localStorage.getItem("conversationId")) { + conversationId = localStorage.getItem("conversationId"); +} else { + conversationId = uuidv4(); + localStorage.setItem("conversationId", conversationId); +} + +const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; +const hostname = + window.location.hostname === "localhost" ? "localhost:8080" : window.location.hostname; +const brokerURL = `${protocol}${hostname}/websocket`; + +function App() { + return ( + + + + + OCI GenAI PoC + + + + + + ); +} + +export default App; diff --git a/apps/oci-generative-ai-jet-ui/web/src/Chat.jsx b/apps/oci-generative-ai-jet-ui/web/src/Chat.jsx new file mode 100644 index 00000000..e7cd639d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/Chat.jsx @@ -0,0 +1,135 @@ +import { useState, useEffect, useContext } from "react"; +import { Box, CircularProgress, Snackbar } from "@mui/material"; +import PromptInput from "./PromptInput"; +import Conversation from "./Conversation"; +import { useStomp } from "./stompHook"; +import IdentityContext from "./IdentityContext"; + +function Chat() { + const identity = useContext(IdentityContext); + const [conversation, setConversation] = useState([]); + const [promptValue, setPromptValue] = useState(""); + const [waiting, setWaiting] = useState(false); + const [showError, setShowError] = useState(false); + const [errorMessage, setErrorMessage] = useState(); + const [modelId, setModelId] = useState(); + const [models, setModels] = useState(); + const [updateModels, setUpdateModels] = useState(true); + const { subscribe, unsubscribe, send, isConnected } = useStomp(); + + // useEffect(() => { + // const fecthModels = async () => { + // try { + // const response = await fetch("/api/genai/models"); + // const data = await response.json(); + // setModels( + // data.filter( + // ({ capabilities }) => + // capabilities.length === 1 && + // capabilities.includes("TEXT_GENERATION") + // ) + // ); + // } catch (error) { + // setErrorMessage("Error fetching Generative AI Models from Backend"); + // } + // }; + + // if (updateModels) { + // setUpdateModels(false); + // fecthModels(); + // } + // }, [updateModels]); + + useEffect(() => { + let timeoutId; + if (waiting) { + timeoutId = setTimeout(() => { + setWaiting(false); + setShowError(true); + setErrorMessage("Request timeout"); + }, 30000); + } else { + } + return () => (timeoutId ? clearTimeout(timeoutId) : null); + }, [waiting]); + + useEffect(() => { + if (isConnected) { + subscribe("/user/queue/answer", (message) => { + setWaiting(false); + if (message.errorMessage.length > 0) { + setErrorMessage(message.errorMessage); + setShowError(true); + } else { + setConversation((c) => [ + ...c, + { + id: c.length + 1, + user: "ai", + content: message.content, + }, + ]); + } + }); + } + + return () => { + unsubscribe("/user/queue/answer"); + }; + }, [isConnected]); + + useEffect(() => { + if (isConnected && promptValue.length) { + send("/genai/prompt", { + conversationId: identity, + content: promptValue, + modelId: "notapply", + }); + setWaiting(true); + setPromptValue(""); + } + return () => {}; + }, [promptValue]); + + return ( + + {/* + Model + + + */} + {conversation} + {waiting && } + + { + setErrorMessage(); + setShowError(false); + }} + message={errorMessage} + /> + + ); +} + +export default Chat; diff --git a/apps/oci-generative-ai-jet-ui/web/src/Conversation.jsx b/apps/oci-generative-ai-jet-ui/web/src/Conversation.jsx new file mode 100644 index 00000000..a8ae6a27 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/Conversation.jsx @@ -0,0 +1,39 @@ +import { Avatar, Box, Paper, Stack, Typography } from "@mui/material"; +import { deepOrange, deepPurple } from "@mui/material/colors"; + +function Conversation({ children: conversation }) { + if (!conversation.length) return; + return ( + + + {conversation.map(({ id, user, content }) => { + return ( + + {user === "ai" && } + {content} + {user !== "ai" && } + + ); + })} + + + ); +} + +function AIAvatar() { + return AI; +} + +function MeAvatar() { + return Me; +} + +export default Conversation; diff --git a/apps/oci-generative-ai-jet-ui/web/src/IdentityContext.jsx b/apps/oci-generative-ai-jet-ui/web/src/IdentityContext.jsx new file mode 100644 index 00000000..1a3b1a0b --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/IdentityContext.jsx @@ -0,0 +1,5 @@ +import { createContext } from "react"; + +const IdentityContext = createContext(undefined); + +export default IdentityContext; diff --git a/apps/oci-generative-ai-jet-ui/web/src/PromptInput.jsx b/apps/oci-generative-ai-jet-ui/web/src/PromptInput.jsx new file mode 100644 index 00000000..8976b66f --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/PromptInput.jsx @@ -0,0 +1,43 @@ +import { Button, Stack, TextField } from "@mui/material"; +import { useState, useRef } from "react"; + +function PromptInput({ setConversation, setPromptValue, disabled }) { + const [inputValue, setInputValue] = useState(""); + const textRef = useRef(); + return ( + + setInputValue(e.target.value)} + /> + + + ); +} + +export default PromptInput; diff --git a/apps/oci-generative-ai-jet-ui/web/src/Routing.jsx b/apps/oci-generative-ai-jet-ui/web/src/Routing.jsx new file mode 100644 index 00000000..cf837d68 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/Routing.jsx @@ -0,0 +1,25 @@ +import { createBrowserRouter, RouterProvider } from "react-router-dom"; +import Chat from "./Chat"; +import Summary from "./Summary"; +import SummaryText from "./SummaryText"; + +const router = createBrowserRouter([ + { + path: "/", + element: , + }, + { + path: "/summary", + element: , + }, + { + path: "/summaryText", + element: , + }, +]); + +function Routing() { + return ; +} + +export default Routing; diff --git a/apps/oci-generative-ai-jet-ui/web/src/Summary.jsx b/apps/oci-generative-ai-jet-ui/web/src/Summary.jsx new file mode 100644 index 00000000..9708bb3e --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/Summary.jsx @@ -0,0 +1,83 @@ +import { Box, Button, Snackbar, Stack, TextField, Typography } from "@mui/material"; +import { useEffect, useState, useContext } from "react"; +import { useForm } from "react-hook-form"; +import { useStomp } from "./stompHook"; +import IdentityContext from "./IdentityContext"; + +function Summary() { + const identity = useContext(IdentityContext); + const { register, handleSubmit, reset } = useForm(); + const [waiting, setWaiting] = useState(false); + const [showError, setShowError] = useState(false); + const [errorMessage, setErrorMessage] = useState(); + const [summary, setSummary] = useState(""); + const { subscribe, unsubscribe, isConnected } = useStomp(); + + useEffect(() => { + if (isConnected) { + subscribe("/user/queue/summary", (message) => { + if (message.errorMessage.length > 0) { + setErrorMessage(message.errorMessage); + setShowError(true); + } else { + console.log("/user/queue/summary"); + console.log(message); + setSummary(message); + } + }); + } + + return () => { + unsubscribe("/user/queue/summary"); + }; + }, [isConnected]); + + const onSubmit = async (data) => { + setWaiting(true); + const formData = new FormData(); + formData.append("file", data.file[0]); + + const res = await fetch("/api/upload", { + method: "POST", + body: formData, + headers: { conversationId: identity, modelId: "n/a" }, + }); + const responseData = await res.json(); + const { content, errorMessage } = responseData; + if (errorMessage.length) { + setErrorMessage(errorMessage); + setShowError(true); + } else { + console.log(content); + setSummary(content); + } + setWaiting(false); + reset(); + }; + return ( + +
      + + + + + +
      + {summary.length !== 0 && {summary}} + { + setErrorMessage(); + setShowError(false); + }} + message={errorMessage} + /> +       + ); +} + +export default Summary; diff --git a/apps/oci-generative-ai-jet-ui/web/src/SummaryText.jsx b/apps/oci-generative-ai-jet-ui/web/src/SummaryText.jsx new file mode 100644 index 00000000..2b6b9c5c --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/SummaryText.jsx @@ -0,0 +1,65 @@ +import { Box, Button, Snackbar, Stack, TextField, Typography } from "@mui/material"; +import { useState, useContext } from "react"; +import { useForm } from "react-hook-form"; +import IdentityContext from "./IdentityContext"; + +function SummaryText() { + const identity = useContext(IdentityContext); + const { register, handleSubmit, reset } = useForm(); + const [waiting, setWaiting] = useState(false); + const [showError, setShowError] = useState(false); + const [errorMessage, setErrorMessage] = useState(); + const [summary, setSummary] = useState(""); + + const onSubmit = async (data) => { + setWaiting(true); + const body = JSON.stringify({ + content: data.fullText, + }); + + const res = await fetch("/api/genai/summary", { + method: "POST", + body: body, + headers: { + "Content-Type": "application/json", + conversationId: identity, + modelId: "n/a", + }, + }); + const responseData = await res.json(); + const { content, errorMessage } = responseData; + if (errorMessage.length) { + setErrorMessage(errorMessage); + setShowError(true); + } else { + setSummary(content); + } + setWaiting(false); + reset(); + }; + return ( + +
      + + + + +
      + {summary.length !== 0 && {summary}} + { + setErrorMessage(); + setShowError(false); + }} + message={errorMessage} + /> +       + ); +} + +export default SummaryText; diff --git a/apps/oci-generative-ai-jet-ui/web/src/main.jsx b/apps/oci-generative-ai-jet-ui/web/src/main.jsx new file mode 100644 index 00000000..2278a2d2 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/main.jsx @@ -0,0 +1,13 @@ +import React from "react"; +import ReactDOM from "react-dom/client"; +import App from "./App.jsx"; +import "@fontsource/roboto/300.css"; +import "@fontsource/roboto/400.css"; +import "@fontsource/roboto/500.css"; +import "@fontsource/roboto/700.css"; + +ReactDOM.createRoot(document.getElementById("root")).render( + + + +); diff --git a/apps/oci-generative-ai-jet-ui/web/src/stompHook/Provider.jsx b/apps/oci-generative-ai-jet-ui/web/src/stompHook/Provider.jsx new file mode 100644 index 00000000..4fc59e5d --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/stompHook/Provider.jsx @@ -0,0 +1,36 @@ +import React, { createContext, useEffect, useState } from "react"; +import { Client } from "@stomp/stompjs"; + +const defaultValue = { + isConnected: false, + stompClient: null, + subscriptions: {}, + setSubscriptions: () => {}, +}; + +export const StompContext = createContext(defaultValue); + +export const StompProvider = ({ children, config, onConnected }) => { + const [stompClient, setStompClient] = useState(new Client(config)); + const [subscriptions, setSubscriptions] = useState({}); + + useEffect(() => { + stompClient?.activate(); + onConnected?.(stompClient); + return () => { + stompClient?.deactivate(); + }; + }, [stompClient]); + + return ( + + {children} + + ); +}; diff --git a/apps/oci-generative-ai-jet-ui/web/src/stompHook/hook.js b/apps/oci-generative-ai-jet-ui/web/src/stompHook/hook.js new file mode 100644 index 00000000..8afc1f11 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/stompHook/hook.js @@ -0,0 +1,51 @@ +import { useContext } from "react"; +import { StompContext } from "./Provider"; + +export const useStomp = () => { + const value = useContext(StompContext); + const { stompClient, subscriptions, setSubscriptions } = value; + + const send = (path, body, headers) => { + stompClient?.publish({ + destination: path, + headers, + body: JSON.stringify(body), + }); + }; + + const subscribe = (path, callback) => { + if (!stompClient) return; + if (subscriptions[path]) return; + + const subscription = stompClient.subscribe(path, (message) => { + const body = JSON.parse(message.body); + callback(body); + }); + setSubscriptions((prev) => { + return { ...prev, [path]: subscription }; + }); + }; + + const unsubscribe = (path) => { + const copy = { ...subscriptions }; + if (!copy[path]) return subscriptions; + copy[path].unsubscribe(); + delete copy[path]; + setSubscriptions((prev) => { + return { ...copy }; + }); + }; + + const disconnect = () => { + stompClient?.deactivate(); + }; + + return { + disconnect, + subscribe, + unsubscribe, + subscriptions, + send, + isConnected: !!stompClient?.connected, + }; +}; diff --git a/apps/oci-generative-ai-jet-ui/web/src/stompHook/index.js b/apps/oci-generative-ai-jet-ui/web/src/stompHook/index.js new file mode 100644 index 00000000..c9ff08a5 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/src/stompHook/index.js @@ -0,0 +1,2 @@ +export { StompProvider } from "./Provider"; +export { useStomp } from "./hook"; diff --git a/apps/oci-generative-ai-jet-ui/web/vite.config.js b/apps/oci-generative-ai-jet-ui/web/vite.config.js new file mode 100644 index 00000000..cf1d5638 --- /dev/null +++ b/apps/oci-generative-ai-jet-ui/web/vite.config.js @@ -0,0 +1,16 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], + server: { + proxy: { + "/api": { + target: "http://localhost:8080", + changeOrigin: true, + secure: false, + }, + }, + }, +}); diff --git a/notebooks/README.md b/notebooks/README.md new file mode 100644 index 00000000..a4cdc23d --- /dev/null +++ b/notebooks/README.md @@ -0,0 +1,45 @@ +# Notebooks + +This folder contains Jupyter notebooks that demonstrate how to build AI applications, agents, and systems using Oracle AI Database and OCI services. These notebooks provide hands-on tutorials, examples, and best practices for developers working with Oracle's AI capabilities. + +## Contents + +The notebooks cover various aspects of AI development including: + +- **Memory Engineering**: Building persistent memory systems for AI agents +- **Context Engineering**: Managing LLM context windows efficiently +- **RAG (Retrieval Augmented Generation)**: Building semantic search and RAG applications +- **AI Agents**: Creating intelligent agents that interact with Oracle AI Database +- **Vector Search**: Implementing vector similarity search and embeddings +- **Evaluation & Metrics**: Measuring and evaluating AI system performance + +## Notebooks + +| Title | Stack | Use Case | Notebook | +| ------------------------------------------ | --------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ | +| Memory & Context Engineering for AI Agents | LangChain, Oracle AI Database, OpenAI, Tavily | Build AI agents with 6 types of persistent memory. Covers memory engineering, context window management, and just-in-time retrieval patterns. | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./memory_context_engineering_agents.ipynb) | +| Oracle RAG Agents: Zero to Hero | Oracle AI Database, OpenAI, OpenAI Agents SDK | Learn to build RAG agents from scratch using Oracle AI Database. | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./oracle_rag_agents_zero_to_hero.ipynb) | +| Oracle RAG with Evaluations | Oracle AI Database, OpenAI, BEIR, Galileo | Build RAG systems with comprehensive evaluation metrics. | [![Open Notebook](https://img.shields.io/badge/Open%20Notebook-orange?style=flat-square)](./oracle_rag_with_evals.ipynb) | + +## Getting Started + +1. Ensure you have Jupyter Notebook or JupyterLab installed +2. Install required dependencies (each notebook includes installation instructions) +3. Set up Oracle AI Database (local Docker installation or cloud instance) +4. Open the notebook and follow along with the tutorial + +## Prerequisites + +- Python 3.8+ +- Oracle AI Database (26ai) - Free tier available via Docker +- Jupyter Notebook or JupyterLab +- Required Python packages (specified in each notebook) + +## Contributing + +If you'd like to contribute a notebook, please ensure it: + +- Includes clear documentation and explanations +- Uses Oracle AI Database or OCI services +- Follows best practices for AI/ML development +- Includes installation and setup instructions diff --git a/notebooks/memory_context_engineering_agents.ipynb b/notebooks/memory_context_engineering_agents.ipynb new file mode 100644 index 00000000..6262a941 --- /dev/null +++ b/notebooks/memory_context_engineering_agents.ipynb @@ -0,0 +1,2117 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "159c65b0", + "metadata": {}, + "source": [ + "# Memory and Context Engineering for AI Agents with Oracle AI Database, Langchain and Tavily\n", + "\n", + "--------" + ] + }, + { + "cell_type": "markdown", + "id": "5340125d", + "metadata": {}, + "source": [ + "[![Open in Colab](https://img.shields.io/badge/Open%20in-Colab-F9AB00?style=flat-square&logo=googlecolab)](https://colab.research.google.com/github/YOUR_USERNAME/oracle_ai_developer_hub/blob/main/notebooks/memory_context_engineering_agents.ipynb)\n", + "\n", + "In this notebook, you'll learn how to engineer memory systems that give AI agents the ability to remember, learn, and adapt across conversations. \n", + "Moving beyond simple RAG, we implement a complete **Memory Layer** with six distinct memory types—each serving a specific cognitive function." + ] + }, + { + "cell_type": "markdown", + "id": "e56d6ba7", + "metadata": {}, + "source": [ + "\n", + "\n", + "## What You'll Build\n", + "\n", + "| Memory Type | Purpose | Storage |\n", + "|-------------|---------|---------|\n", + "| **Conversational** | Chat history per thread | SQL Table |\n", + "| **Knowledge Base** | Searchable documents & facts | Vector Store |\n", + "| **Workflow** | Learned action patterns | Vector Store |\n", + "| **Toolbox** | Dynamic tool definitions | Vector Store |\n", + "| **Entity** | People, places, systems extracted from context | Vector Store |\n", + "| **Summary** | Compressed context for long conversations | Vector Store |" + ] + }, + { + "cell_type": "markdown", + "id": "e65027f9", + "metadata": {}, + "source": [ + "\n", + "## Key Concepts Covered\n", + "\n", + "- **Memory Engineering**: Design patterns for agent memory systems\n", + "- **Context Engineering**: Techniques for optimizing what goes into the LLM context\n", + "- **Context Window Management**: Monitor usage, auto-summarize at thresholds\n", + "- **Just-in-Time Retrieval**: Compact summaries with on-demand expansion\n", + "- **Dynamic Tool Calling**: Semantic tool discovery and execution\n", + "- **Entity Extraction**: LLM-powered entity recognition and storage\n" + ] + }, + { + "cell_type": "markdown", + "id": "f8775610", + "metadata": {}, + "source": [ + "\n", + "## Prerequisites\n", + "\n", + "- Python 3.10+\n", + "- Oracle AI Database (local Docker or cloud)\n", + "- OpenAI API key\n", + "- Tavily API key\n", + "\n", + "## By the End\n", + "You'll have a reusable `MemoryLayer` class and agent loop that demonstrates how modern AI agents maintain context, learn from interactions, and manage information across sessions." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b243d181", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install -qU langchain-oracledb sentence-transformers langchain-openai langchain langchain-anthropic tavily-python" + ] + }, + { + "cell_type": "markdown", + "id": "393bf345", + "metadata": {}, + "source": [ + "# Local Installation of Oracle AI Database via Docker [Memory Core]" + ] + }, + { + "cell_type": "markdown", + "id": "792a6485", + "metadata": {}, + "source": [ + "This section walks you through setting up **Oracle AI Database 26ai** locally using Docker. Oracle AI Database is a converged database that combines relational, document, graph, and vector data in a single engine—making it ideal for AI applications that need semantic search, embeddings storage, and vector similarity queries.\n", + "\n", + "**What you'll do:**\n", + "1. Pull and run the Oracle Database Docker container\n", + "2. Establish a connection from Python using `oracledb`\n", + "3. Create a dedicated user for vector operations\n", + "\n", + "This local setup gives you a fully functional Oracle database for development and testing without needing cloud infrastructure." + ] + }, + { + "cell_type": "markdown", + "id": "58676655", + "metadata": {}, + "source": [ + "### Installing Oracle AI Database via Docker" + ] + }, + { + "cell_type": "markdown", + "id": "80c745a8", + "metadata": {}, + "source": [ + "For this notebook we will be using a local installation of [Oracle AI Database](https://www.oracle.com/database/free/get-started/)" + ] + }, + { + "cell_type": "markdown", + "id": "c92b14d9", + "metadata": {}, + "source": [ + "1. Install & start Docker. Docker Desktop (Mac/Windows) or Docker Engine (Linux). Make sure it’s running.\n", + " - If installed with Docker Enginer, run from terminal ```open /Applications/Docker.app```\n", + "2. We are going to pull the [docker image](https://container-registry.oracle.com/ords/f?p=113:4:13936724845291:::4:P4_REPOSITORY,AI_REPOSITORY,AI_REPOSITORY_NAME,P4_REPOSITORY_NAME,P4_EULA_ID,P4_BUSINESS_AREA_ID:1863,1863,Oracle%20Database%20Free,Oracle%20Database%20Free,1,0&cs=3cVNH02fFYhB723ODpNnr0JZI1S7Z64nRyL_zC1Ls5BSVLafGsOLMFvFoPhn8JeeB8tXPhkfFKH8-dkrL_z3_0g)\n", + "3. Run a container with oracle image\n", + "\n", + " ```\n", + " docker run -d \\\n", + " --name oracle-free \\\n", + " -p 1521:1521 -p 5500:5500 \\\n", + " -e ORACLE_PWD=OraclePwd_2025 \\\n", + " -v $HOME/oracle/full_data:/opt/oracle/oradata \\\n", + " container-registry.oracle.com/database/free:latest\n", + "\n", + " ```" + ] + }, + { + "cell_type": "markdown", + "id": "d95d25a7", + "metadata": {}, + "source": [ + "> 🚫 **Troubleshoot** \n", + "> If you see the error: \n", + "> *`docker: Error response from daemon: Conflict. The container name \"/oracle-full\" is already in use by container ... You have to remove (or rename) that container to be able to reuse that name.`* \n", + ">\n", + "> 🧩 **Fix:** \n", + "> - Remove the existing container: \n", + "> ```bash\n", + "> docker rm oracle-full\n", + "> ``` \n", + "> - Then re-run your Docker command from **Step 3** to start a new container.\n" + ] + }, + { + "cell_type": "markdown", + "id": "63b1afd2", + "metadata": {}, + "source": [ + "### Connection Helper Function\n", + "\n", + "In the code below we have a reusable function that connects to Oracle Database with automatic retry logic and helpful error messages.\n", + "\n", + "**What it does:**\n", + "1. Attempts to connect using the `oracledb` Python driver\n", + "2. Retries up to 3 times if the connection fails (useful when the database is still starting)\n", + "3. Prints the Oracle version banner on successful connection. This will also include the version you are running\n", + "4. Provides troubleshooting hints for common connection errors\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "322bb9ef", + "metadata": {}, + "outputs": [], + "source": [ + "import oracledb\n", + "import time\n", + "\n", + "def connect_to_oracle(max_retries=3, retry_delay=5, user=\"sys\", password=\"OraclePwd_2025\", dsn=\"127.0.0.1:1521/FREEPDB1\", program=\"langchain_oracledb_deep_research_demo\"):\n", + " \"\"\"\n", + " Connect to Oracle database with retry logic and better error handling.\n", + " \n", + " Args:\n", + " max_retries: Maximum number of connection attempts\n", + " retry_delay: Seconds to wait between retries\n", + " \"\"\"\n", + " \n", + " for attempt in range(1, max_retries + 1):\n", + " try:\n", + " print(f\"Connection attempt {attempt}/{max_retries}...\")\n", + " conn = oracledb.connect(\n", + " user=user,\n", + " password=password,\n", + " dsn=dsn,\n", + " program=program\n", + " )\n", + " print(\"✓ Connected successfully!\")\n", + " \n", + " # Test the connection\n", + " with conn.cursor() as cur:\n", + " cur.execute(\"SELECT banner FROM v$version WHERE banner LIKE 'Oracle%';\")\n", + " banner = cur.fetchone()[0]\n", + " # Banner should include the version you are running\n", + " print(f\"\\n{banner}\")\n", + " \n", + " return conn\n", + " \n", + " except oracledb.OperationalError as e:\n", + " error_msg = str(e)\n", + " print(f\"✗ Connection failed (attempt {attempt}/{max_retries})\")\n", + " \n", + " if \"DPY-4011\" in error_msg or \"Connection reset by peer\" in error_msg:\n", + " print(\" → This usually means:\")\n", + " print(\" 1. Database is still starting up (wait 2-3 minutes)\")\n", + " print(\" 2. Listener is not bound to 0.0.0.0 (run fix_oracle_listener())\")\n", + " print(\" 3. Container is not running (check with check_docker_container())\")\n", + " \n", + " if attempt < max_retries:\n", + " print(f\"\\n Waiting {retry_delay} seconds before retry...\")\n", + " time.sleep(retry_delay)\n", + " else:\n", + " print(\"\\n 💡 Try running:\")\n", + " print(\" 1. check_docker_container() - verify container is running\")\n", + " print(\" 2. fix_oracle_listener() - fix listener binding\")\n", + " raise\n", + " else:\n", + " raise\n", + " except Exception as e:\n", + " print(f\"✗ Unexpected error: {e}\")\n", + " raise\n", + " \n", + " raise ConnectionError(\"Failed to connect after all retries\")" + ] + }, + { + "cell_type": "markdown", + "id": "c03562c6", + "metadata": {}, + "source": [ + "Connect as the `VECTOR` user dedicated schema for storing embeddings and vector data.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3aa1368", + "metadata": {}, + "outputs": [], + "source": [ + "vector_conn = connect_to_oracle(\n", + " user=\"VECTOR\",\n", + " password=\"VectorPwd_2025\",\n", + " dsn=\"127.0.0.1:1521/FREEPDB1\",\n", + " program=\"langchain_oracledb_deep_research_demo\",\n", + ")\n", + "\n", + "print(\"Using user:\", vector_conn.username)" + ] + }, + { + "cell_type": "markdown", + "id": "365bcafb", + "metadata": {}, + "source": [ + "✅ **Setup complete!** You now have Oracle AI Database running locally with an active connection.\n", + "\n", + "Next, we'll create vector stores using **LangChain's Oracle integration** to store embeddings and metadata for semantic search." + ] + }, + { + "cell_type": "markdown", + "id": "47f8ccd5", + "metadata": {}, + "source": [ + "# Vector Search With Langchain and Oracle AI Database" + ] + }, + { + "cell_type": "markdown", + "id": "69fa782a", + "metadata": {}, + "source": [ + "This section demonstrates how to use **LangChain's Oracle Vector Store (OracleVS)** to store and search documents using semantic similarity. \n", + "\n", + "Vector search enables finding documents based on meaning rather than exact keyword matches.\n", + "\n", + "## What You'll Learn\n", + "\n", + "| Step | Description |\n", + "|------|-------------|\n", + "| **1. Initialize Embeddings** | Load a HuggingFace embedding model to convert text into vectors |\n", + "| **2. Create Vector Store** | Set up an Oracle-backed vector store with distance strategy |\n", + "| **3. Create Index** | Build an IVF (Inverted File) index for fast similarity search |\n", + "| **4. Add Documents** | Store text with metadata in the vector database |\n", + "| **5. Query** | Search for similar documents using natural language |\n", + "| **6. Filter Results** | Use metadata filters to narrow down search results |\n", + "\n", + "## Key Components\n", + "\n", + "- **`OracleVS`**: LangChain's Oracle vector store integration\n", + "- **`HuggingFaceEmbeddings`**: Converts text to 768-dimensional vectors\n", + "- **`DistanceStrategy.EUCLIDEAN_DISTANCE`**: Measures similarity between vectors\n", + "- **IVF Index**: Speeds up searches on large datasets by clustering vectors" + ] + }, + { + "cell_type": "markdown", + "id": "c9e5cbeb", + "metadata": {}, + "source": [ + "## Creating Vector Stores with Langchain OracleVS" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "340bffc4", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_oracledb.vectorstores import OracleVS\n", + "from langchain_community.embeddings import HuggingFaceEmbeddings\n", + "from langchain_oracledb.vectorstores.oraclevs import create_index\n", + "from langchain_community.vectorstores.utils import DistanceStrategy\n", + "\n", + "# Initialize the embedding model\n", + "embedding_model = HuggingFaceEmbeddings(\n", + " model_name=\"sentence-transformers/paraphrase-mpnet-base-v2\"\n", + ")\n", + "\n", + "# Initialize the vector store\n", + "vector_store = OracleVS(\n", + " client=vector_conn, \n", + " embedding_function=embedding_model,\n", + " table_name=\"VECTOR_SEARCH_DEMO\",\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64e24aa3", + "metadata": {}, + "outputs": [], + "source": [ + "# Helper to safely create index (skips if already exists)\n", + "def safe_create_index(conn, vs, idx_name):\n", + " \"\"\"Create index, skipping if it already exists.\"\"\"\n", + " try:\n", + " create_index(\n", + " client=conn,\n", + " vector_store=vs,\n", + " params={\"idx_name\": idx_name, \"idx_type\": \"IVF\"}\n", + " )\n", + " print(f\" ✅ Created index: {idx_name}\")\n", + " except Exception as e:\n", + " if \"ORA-00955\" in str(e):\n", + " print(f\" ⏭️ Index already exists: {idx_name} (skipped)\")\n", + " else:\n", + " raise\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "146cb8bc", + "metadata": {}, + "outputs": [], + "source": [ + "import logging\n", + "\n", + "# Suppress langchain_oracledb logging, remove this if you want to see the debug logs\n", + "logging.getLogger(\"langchain_oracledb\").setLevel(logging.CRITICAL)\n", + "\n", + "# Create an IVF index for fast similarity search\n", + "safe_create_index(vector_conn, vector_store, \"oravs_ivf\")" + ] + }, + { + "cell_type": "markdown", + "id": "8cc1b4b9", + "metadata": {}, + "source": [ + "## Ingesting Example Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4926e267", + "metadata": {}, + "outputs": [], + "source": [ + "# add texts to the vector database\n", + "texts = [\"A tablespace can be online (accessible) or offline (not accessible) whenever the database is open.\\nA tablespace is usually online so that its data is available to users. The SYSTEM tablespace and temporary tablespaces cannot be taken offline.\", \"The database stores LOBs differently from other data types. Creating a LOB column implicitly creates a LOB segment and a LOB index. \"]\n", + "metadata = [\n", + " {\"id\": \"100\", \"link\": \"Document Example Test 1\"},\n", + " {\"id\": \"101\", \"link\": \"Document Example Test 2\"},\n", + "]\n", + "\n", + "# Simple Ingestion\n", + "vector_store.add_texts(\n", + " texts=texts, # This is the text embeddings will be generated from\n", + " metadatas=metadata # This is the metadata that will be stored with the text\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "1061c994", + "metadata": {}, + "source": [ + "## Querying the Vector Store\n", + "\n", + "Search for documents similar to a natural language query. \n", + "\n", + "The vector store converts queries to an embedding and finds the closest matches.\n" + ] + }, + { + "cell_type": "markdown", + "id": "78909ea2", + "metadata": {}, + "source": [ + "Basic Search" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "query = \"How does Oracle handle tablespaces?\"\n", + "\n", + "results = vector_store.similarity_search(query, k=3)\n", + "\n", + "for i, doc in enumerate(results, start=1):\n", + " print(f\"--- Result {i} ---\")\n", + " print(\"Text:\", doc.page_content)\n", + " print(\"Metadata:\", doc.metadata)\n" + ] + }, + { + "cell_type": "markdown", + "id": "99ece922", + "metadata": {}, + "source": [ + "Search With Scores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "results = vector_store.similarity_search_with_score(query, k=3)\n", + "\n", + "for doc, score in results:\n", + " print(\"Score:\", score)\n", + " print(\"Text :\", doc.page_content)\n", + " print(\"Meta :\", doc.metadatas)\n", + " print(\"------\")" + ] + }, + { + "cell_type": "markdown", + "id": "b10609d0", + "metadata": {}, + "source": [ + "Filter by exact match on a metadata field" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "081c7f74", + "metadata": {}, + "outputs": [], + "source": [ + "query = \"How are tablespaces made available to users?\"\n", + "\n", + "# This will only return docs where metadata.link == \"Document Example Test 1\".\n", + "docs = vector_store.similarity_search(\n", + " query, k=3,\n", + " filter={\"link\": {\"$eq\": \"Document Example Test 1\"}},\n", + ")\n", + "\n", + "for doc in docs:\n", + " print(\"Text:\", doc.page_content[:120], \"...\")\n", + " print(\"Meta:\", doc.metadata)\n", + " print(\"------\")" + ] + }, + { + "cell_type": "markdown", + "id": "90290170", + "metadata": {}, + "source": [ + "Filter by id list ($in)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0d8de15", + "metadata": {}, + "outputs": [], + "source": [ + "docs = vector_store.similarity_search(\n", + " query=\"Explain database storage concepts\",\n", + " k=5,\n", + " filter={\"id\": {\"$in\": [\"100\"]}}, # only id 100\n", + ")\n", + "\n", + "print(docs)" + ] + }, + { + "cell_type": "markdown", + "id": "82623c94", + "metadata": {}, + "source": [ + "# Memory Engineering and Agent Memory\n" + ] + }, + { + "cell_type": "markdown", + "id": "7b3ff4cf", + "metadata": {}, + "source": [ + "\n", + "**`Agent Memory`** is the exocortex that augments an LLM—capturing, encoding, storing, linking, and retrieving information beyond the model’s parametric and contextual limits. \n", + "It provides the persistence and structure required for long-horizon reasoning and reliable behaviour.\n", + "\n", + "**`Memory Engineering`** is the scaffolding and control harness that we design to move information optimally and efficiently into, through, and across all components of an AI system(databases, LLMs, applications etc). It ensures that data is captured, transformed, organized, and retrieved in the right way at the right time—so agents can behave reliably, believably, and capabaly.\n", + "\n", + "This is the core section of the notebook where we build a complete **`Memory Layer`** for AI agents. \n", + "\n", + "Just like humans have different types of memory (short-term, long-term, procedural), AI agents benefit from specialized memory systems.\n", + "\n", + "## Why Memory Engineering Matters\n", + "\n", + "Without memory, agents:\n", + "- Forget previous conversations\n", + "- Can't learn from past interactions\n", + "- Repeat the same mistakes\n", + "- Lack context for complex tasks\n", + "\n", + "With proper memory engineering, agents can:\n", + "- Maintain context across sessions\n", + "- Learn and improve over time\n", + "- Access relevant knowledge when needed\n", + "- Execute complex multi-step workflows\n", + "\n", + "## Memory Types We'll Implement\n", + "\n", + "| Memory Type | Human Analogy | Purpose | Storage |\n", + "|-------------|---------------|---------|---------|\n", + "| **Conversational** | Short-term memory | Chat history per thread | SQL Table |\n", + "| **Knowledge Base** | Long-term semantic memory | Facts, documents, search results | Vector Store |\n", + "| **Workflow** | Procedural memory | Learned action patterns | Vector Store |\n", + "| **Toolbox** | Skill memory | Available tools & capabilities | Vector Store |\n", + "| **Entity** | Episodic memory | People, places, systems mentioned | Vector Store |\n", + "| **Summary** | Compressed memory | Condensed context for long conversations | Vector Store |\n", + "\n", + "## Steps in This Section\n", + "\n", + "1. **Define table names** for each memory type\n", + "2. **Create SQL table** for conversational history\n", + "3. **Create vector stores** for semantic memories\n", + "4. **Build indexes** for fast similarity search\n", + "5. **Implement MemoryLayer class** with read/write methods for each memory type\n", + "6. **Initialize the memory layer** with all storage backends" + ] + }, + { + "cell_type": "markdown", + "id": "461b4fa8", + "metadata": {}, + "source": [ + "## Define Memory Tables and Stores\n", + "First, we define table names for each memory type. \n", + "\n", + "These tables will be created in Oracle Database to persist agent memory." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e0ee2ee", + "metadata": {}, + "outputs": [], + "source": [ + "# Table names for each memory type\n", + "CONVERSATIONAL_TABLE = \"CONVERSATIONAL_MEMORY\" # Episodic memory\n", + "KNOWLEDGE_BASE_TABLE = \"SEMANTIC_MEMORY\" # Semantic memory\n", + "WORKFLOW_TABLE = \"WORKFLOW_MEMORY\" # Procedural memory\n", + "TOOLBOX_TABLE = \"TOOLBOX_MEMORY\" # Procedural memory\n", + "ENTITY_TABLE = \"ENTITY_MEMORY\" # Semantic memory\n", + "SUMMARY_TABLE = \"SUMMARY_MEMORY\" # Semanatic memory\n", + "\n", + "ALL_TABLES = [CONVERSATIONAL_TABLE, KNOWLEDGE_BASE_TABLE, WORKFLOW_TABLE, TOOLBOX_TABLE, ENTITY_TABLE, SUMMARY_TABLE]\n", + "\n", + "# Drop existing tables to start fresh\n", + "for table in ALL_TABLES:\n", + " try:\n", + " with vector_conn.cursor() as cur:\n", + " cur.execute(f\"DROP TABLE {table} PURGE\")\n", + " except Exception as e:\n", + " if \"ORA-00942\" in str(e):\n", + " print(f\" - {table} (not exists)\")\n", + " else:\n", + " print(f\" ✗ {table}: {e}\")\n", + " \n", + "vector_conn.commit()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29c9b27a", + "metadata": {}, + "outputs": [], + "source": [ + "# Model token limits (for context management)\n", + "MODEL_TOKEN_LIMITS = {\n", + " \"gpt-5\": 256000,\n", + " \"gpt-5-mini\": 128000,\n", + " \"gpt-4o\": 128000,\n", + " \"gpt-4o-mini\": 128000,\n", + " \"gpt-4-turbo\": 128000,\n", + " \"gpt-4\": 8192,\n", + " \"gpt-3.5-turbo\": 16385,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "ded028dc", + "metadata": {}, + "source": [ + "### Create Conversational Memory Table\n", + "\n", + "This function below creates a SQL table to store chat history. \n", + "\n", + "Unlike vector stores, conversational memory uses a traditional table because we need exact retrieval by thread ID (not similarity search).\n", + "\n", + "**What it does:**\n", + "- Creates a table with columns: `id`, `thread_id`, `role`, `content`, `timestamp`, `metadata`\n", + "- Adds an index on `thread_id` for fast conversation lookups\n", + "- Adds an index on `timestamp` for chronological ordering\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54032e53", + "metadata": {}, + "outputs": [], + "source": [ + "def create_conversational_history_table(conn, table_name: str = \"CONVERSATIONAL_MEMORY\"):\n", + " \"\"\"\n", + " Create a table to store conversational history.\n", + "\n", + " Args:\n", + " conn: Oracle database connection\n", + " table_name: Name of the table to create\n", + " \"\"\"\n", + " with conn.cursor() as cur:\n", + " # Drop table if exists\n", + " try:\n", + " cur.execute(f\"DROP TABLE {table_name}\")\n", + " except:\n", + " pass # Table doesn't exist\n", + " \n", + " # Create table with proper schema\n", + " cur.execute(f\"\"\"\n", + " CREATE TABLE {table_name} (\n", + " id VARCHAR2(100) DEFAULT SYS_GUID() PRIMARY KEY,\n", + " thread_id VARCHAR2(100) NOT NULL,\n", + " role VARCHAR2(50) NOT NULL,\n", + " content CLOB NOT NULL,\n", + " timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n", + " metadata CLOB,\n", + " created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n", + " summary_id VARCHAR2(100) DEFAULT NULL\n", + " )\n", + " \"\"\")\n", + " \n", + " # Create index on thread_id for faster lookups\n", + " cur.execute(f\"\"\"\n", + " CREATE INDEX idx_{table_name.lower()}_thread_id ON {table_name}(thread_id)\n", + " \"\"\")\n", + " \n", + " # Create index on timestamp for ordering\n", + " cur.execute(f\"\"\"\n", + " CREATE INDEX idx_{table_name.lower()}_timestamp ON {table_name}(timestamp)\n", + " \"\"\")\n", + " \n", + " conn.commit()\n", + " print(f\"Table {table_name} created successfully with indexes\")\n", + " return table_name\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24745bff", + "metadata": {}, + "outputs": [], + "source": [ + "# Create the table\n", + "CONVERSATION_HISTORY_TABLE = create_conversational_history_table(vector_conn, CONVERSATIONAL_TABLE)" + ] + }, + { + "cell_type": "markdown", + "id": "4539b694", + "metadata": {}, + "source": [ + "### Create Vector Stores for Each Memory Type\n", + "\n", + "Here we create 5 separate vector stores—one for each memory type. \n", + "\n", + "Each vector store is backed by its own Oracle table and uses the same embedding model for consistency.\n", + "\n", + "| Vector Store | Purpose |\n", + "|--------------|---------|\n", + "| `knowledge_base_vs` | Store documents, facts, and search results |\n", + "| `workflow_vs` | Store learned action patterns and tool sequences |\n", + "| `toolbox_vs` | Store tool definitions for semantic tool discovery |\n", + "| `entity_vs` | Store extracted entities (people, places, systems) |\n", + "| `summary_vs` | Store compressed summaries for long conversations |\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01fffb00", + "metadata": {}, + "outputs": [], + "source": [ + "knowledge_base_vs = OracleVS(\n", + " client=vector_conn,\n", + " embedding_function=embedding_model,\n", + " table_name=KNOWLEDGE_BASE_TABLE,\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", + ")\n", + "\n", + "workflow_vs = OracleVS(\n", + " client=vector_conn,\n", + " embedding_function=embedding_model,\n", + " table_name=WORKFLOW_TABLE,\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", + ")\n", + "\n", + "toolbox_vs = OracleVS(\n", + " client=vector_conn,\n", + " embedding_function=embedding_model,\n", + " table_name=TOOLBOX_TABLE,\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", + ")\n", + "\n", + "entity_vs = OracleVS(\n", + " client=vector_conn,\n", + " embedding_function=embedding_model,\n", + " table_name=ENTITY_TABLE,\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", + ")\n", + "\n", + "summary_vs = OracleVS(\n", + " client=vector_conn,\n", + " embedding_function=embedding_model,\n", + " table_name=SUMMARY_TABLE,\n", + " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "75548e90", + "metadata": {}, + "source": [ + "Then we create indexes for each of the vector stores" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe0100e3", + "metadata": {}, + "outputs": [], + "source": [ + "print(\"Creating vector indexes...\")\n", + "safe_create_index(vector_conn, knowledge_base_vs, \"knowledge_base_vs_ivf\")\n", + "safe_create_index(vector_conn, workflow_vs, \"workflow_vs_ivf\")\n", + "safe_create_index(vector_conn, toolbox_vs, \"toolbox_vs_ivf\")\n", + "safe_create_index(vector_conn, entity_vs, \"entity_vs_ivf\")\n", + "safe_create_index(vector_conn, summary_vs, \"summary_vs_ivf\")\n", + "print(\"All indexes created!\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "929d5ff9", + "metadata": {}, + "source": [ + "## Programmatic vs Agentic Operations" + ] + }, + { + "cell_type": "markdown", + "id": "fc5678a3", + "metadata": {}, + "source": [ + "A key design decision in memory engineering is determining which operations should be **programmatic** (executed automatically by code) versus **agentic** (decided by the LLM at runtime).\n", + "\n", + "| Operation | Programmatic | Agentic |\n", + "|-----------|:------------:|:-------:|\n", + "| `read_conversational_memory()` | ✅ | ❌ |\n", + "| `read_knowledge_base()` | ✅ | ❌ |\n", + "| `read_workflow()` | ✅ | ❌ |\n", + "| `read_entity()` | ✅ | ❌ |\n", + "| `read_summary_context()` | ✅ | ❌ |\n", + "| `write_conversational_memory()` | ✅ | ❌ |\n", + "| `write_workflow()` | ✅ | ❌ |\n", + "| `write_entity()` | ✅ | ❌ |\n", + "| `search_tavily()` | ❌ | ✅ |\n", + "| `expand_summary()` | ❌ | ✅ |\n", + "| `summarize_and_store()` | ❌ | ✅ |\n", + "\n", + "### Why Memory Reads are Programmatic\n", + "\n", + "Memory retrieval operations are **always executed** at the start of each agent loop because:\n", + "\n", + "1. **Context is essential** — The agent needs memory to understand the conversation and avoid repeating mistakes. Without this, every interaction starts from scratch.\n", + "\n", + "2. **The agent can't know what it doesn't know** — If the agent had to decide whether to check memory, it would need to already know what's in memory—a chicken-and-egg problem.\n", + "\n", + "3. **Consistency** — Always loading memory ensures the agent has a predictable, complete view of its knowledge.\n", + "\n", + "### Why Memory Writes are Programmatic\n", + "\n", + "Storing conversations, workflows, and entities happens automatically because:\n", + "\n", + "1. **Reliability** — We don't want the agent to \"forget\" to save important information. Conversation history must be persisted consistently.\n", + "\n", + "2. **Completeness** — Every interaction should be recorded. Selective saving would create gaps in memory.\n", + "\n", + "3. **Reduced cognitive load** — Letting the agent focus on the task rather than memory management leads to better responses.\n", + "\n", + "### Why Tool Calls are Agentic\n", + "\n", + "External actions like web search and summary expansion are left to the agent's discretion because:\n", + "\n", + "1. **Intent matters** — Only the agent knows if it needs more information. Automatically searching for every query would be wasteful.\n", + "\n", + "2. **Cost considerations** — External API calls have latency and may incur costs. The agent should only call them when genuinely needed.\n", + "\n", + "3. **Judgment required** — Deciding *what* to search for or *which* summary to expand requires understanding the user's intent—something the LLM excels at." + ] + }, + { + "cell_type": "markdown", + "id": "76f3f57d", + "metadata": {}, + "source": [ + "## Memory Layer Implementation" + ] + }, + { + "cell_type": "markdown", + "id": "a85d87a8", + "metadata": {}, + "source": [ + "The `MemoryLayer` class is the central abstraction that unifies all memory operations. It provides a clean interface for reading and writing to different memory types, hiding the complexity of SQL queries and vector store operations.\n", + "\n", + "### What We're Building\n", + "\n", + "A single class that manages 6 types of memory with consistent read/write patterns:\n", + "\n", + "| Memory Type | Storage | Write Method | Read Method |\n", + "|-------------|---------|--------------|-------------|\n", + "| **Conversational** | SQL Table | `write_conversational_memory()` | `read_conversational_memory()` |\n", + "| **Knowledge Base** | Vector Store | `write_knowledge_base()` | `read_knowledge_base()` |\n", + "| **Workflow** | Vector Store | `write_workflow()` | `read_workflow()` |\n", + "| **Toolbox** | Vector Store | `write_toolbox()` | `read_toolbox()` |\n", + "| **Entity** | Vector Store | `write_entity()` | `read_entity()` |\n", + "| **Summary** | Vector Store | `write_summary()` | `read_summary_memory()`, `read_summary_context()` |\n", + "\n", + "### Key Features\n", + "\n", + "- **Thread-based conversations** — Messages are organized by `thread_id` for multi-conversation support\n", + "- **Semantic search** — Vector stores enable finding relevant content by meaning, not just keywords\n", + "- **Metadata filtering** — Workflows filter by `num_steps > 0`, summaries filter by `id`\n", + "- **LLM-powered entity extraction** — Automatically extracts people, places, and systems from text\n", + "- **Formatted context output** — Each read method returns formatted text ready for the LLM context\n", + "\n", + "### Alternative: Memory Layer Frameworks\n", + "\n", + "There are existing frameworks that abstract memory management for AI agents:\n", + "\n", + "| Framework | Description |\n", + "|-----------|-------------|\n", + "| **LangChain Memory** | Built-in memory classes (ConversationBufferMemory, VectorStoreRetrieverMemory) |\n", + "| **Mem0** | Dedicated memory layer for AI agents with automatic memory management |\n", + "| **LlamaIndex** | Document-based memory with various storage backends |\n", + "| **Zep** | Long-term memory service for AI assistants |\n", + "\n", + "### Pros and Cons of Building Your Own\n", + "\n", + "| Approach | Pros | Cons |\n", + "|----------|------|------|\n", + "| **Custom (what we're doing)** | Full control, tailored to your needs, deeper understanding, no external dependencies | More code to maintain, need to handle edge cases yourself |\n", + "| **Using a framework** | Faster to implement, battle-tested, community support, handles edge cases | Less control, may not fit your exact use case, additional dependency |" + ] + }, + { + "cell_type": "markdown", + "id": "69bb7a2f", + "metadata": {}, + "source": [ + "> **For learning purposes**, building your own memory layer (as we do here) gives you a deep understanding of how memory engineering works. \n", + "> \n", + "> **For production**, you might consider using or extending an existing framework. \n", + ">\n", + "> For example, this simple notebook only illustrates reads and writes, but not deletion and updates." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27aacfa9", + "metadata": {}, + "outputs": [], + "source": [ + "import json as json_lib\n", + "from datetime import datetime\n", + "\n", + "class MemoryLayer:\n", + " \"\"\"\n", + " A simplified memory layer for AI agents using Oracle AI Database.\n", + " \n", + " Manages 5 types of memory:\n", + " - Conversational: Chat history per thread (SQL table)\n", + " - Knowledge Base: Searchable documents (Vector store)\n", + " - Workflow: Execution patterns (Vector store)\n", + " - Toolbox: Available tools (Vector store)\n", + " - Entity: People, places, systems (Vector store)\n", + " \"\"\"\n", + " \n", + " def __init__(self, conn, conversation_table: str, knowledge_base_vs, workflow_vs, toolbox_vs, entity_vs, summary_vs):\n", + " self.conn = conn\n", + " self.conversation_table = conversation_table\n", + " self.knowledge_base_vs = knowledge_base_vs\n", + " self.workflow_vs = workflow_vs\n", + " self.toolbox_vs = toolbox_vs\n", + " self.entity_vs = entity_vs\n", + " self.summary_vs = summary_vs\n", + " \n", + " # ==================== CONVERSATIONAL MEMORY (SQL) ====================\n", + " \n", + " def write_conversational_memory(self, content: str, role: str, thread_id: str) -> str:\n", + " \"\"\"Store a message in conversation history.\"\"\"\n", + " thread_id = str(thread_id)\n", + " with self.conn.cursor() as cur:\n", + " id_var = cur.var(str)\n", + " cur.execute(f\"\"\"\n", + " INSERT INTO {self.conversation_table} (thread_id, role, content, metadata, timestamp)\n", + " VALUES (:thread_id, :role, :content, :metadata, CURRENT_TIMESTAMP)\n", + " RETURNING id INTO :id\n", + " \"\"\", {\"thread_id\": thread_id, \"role\": role, \"content\": content, \"metadata\": \"{}\", \"id\": id_var})\n", + " record_id = id_var.getvalue()[0] if id_var.getvalue() else None\n", + " self.conn.commit()\n", + " return record_id\n", + " \n", + " def read_conversational_memory(self, thread_id: str, limit: int = 10) -> str:\n", + " \"\"\"Read conversation history for a thread (excludes summarized messages).\"\"\"\n", + " thread_id = str(thread_id)\n", + " with self.conn.cursor() as cur:\n", + " cur.execute(f\"\"\"\n", + " SELECT role, content, timestamp FROM {self.conversation_table}\n", + " WHERE thread_id = :thread_id AND summary_id IS NULL\n", + " ORDER BY timestamp ASC\n", + " FETCH FIRST :limit ROWS ONLY\n", + " \"\"\", {\"thread_id\": thread_id, \"limit\": limit})\n", + " results = cur.fetchall()\n", + " \n", + " messages = [f\"[{ts.strftime('%H:%M:%S')}] [{role}] {content}\" for role, content, ts in results]\n", + " return f\"\"\"## Conversation Memory: This is the conversation history for the current thread \n", + " ### How to use: Use the conversation history to answer the question\\n\n", + " {messages}\"\"\"\n", + " \n", + " def mark_as_summarized(self, thread_id: str, summary_id: str):\n", + " \"\"\"Mark all unsummarized messages in a thread as summarized.\"\"\"\n", + " thread_id = str(thread_id)\n", + " with self.conn.cursor() as cur:\n", + " cur.execute(f\"\"\"\n", + " UPDATE {self.conversation_table}\n", + " SET summary_id = :summary_id\n", + " WHERE thread_id = :thread_id AND summary_id IS NULL\n", + " \"\"\", {\"summary_id\": summary_id, \"thread_id\": thread_id})\n", + " self.conn.commit()\n", + " print(f\" 📦 Marked messages as summarized (summary_id: {summary_id})\")\n", + " \n", + " # ==================== KNOWLEDGE BASE (Vector Store) ====================\n", + " \n", + " def write_knowledge_base(self, text: str, metadata: dict):\n", + " \"\"\"Store text in knowledge base with metadata.\"\"\"\n", + " self.knowledge_base_vs.add_texts([text], [metadata])\n", + " \n", + " def read_knowledge_base(self, query: str, k: int = 3) -> str:\n", + " \"\"\"Search knowledge base for relevant content.\"\"\"\n", + " results = self.knowledge_base_vs.similarity_search(query, k=k)\n", + " content = \"\\n\".join([doc.page_content for doc in results])\n", + " return f\"\"\"## Knowledge Base Memory: This are general information that is relevant to the question\\n\n", + " ### How to use: Use the knowledge base as background information that can help answer the question\\n\n", + " {content}\"\"\"\n", + " \n", + " \n", + " # ==================== WORKFLOW (Vector Store) ====================\n", + " \n", + " def write_workflow(self, query: str, steps: list, final_answer: str, success: bool = True):\n", + " \"\"\"Store a completed workflow pattern for future reference.\"\"\"\n", + " # Format steps as text\n", + " steps_text = \"\\n\".join([f\"Step {i+1}: {s}\" for i, s in enumerate(steps)])\n", + " text = f\"Query: {query}\\nSteps:\\n{steps_text}\\nAnswer: {final_answer[:200]}\"\n", + " \n", + " metadata = {\n", + " \"query\": query,\n", + " \"success\": success,\n", + " \"num_steps\": len(steps),\n", + " \"timestamp\": datetime.now().isoformat()\n", + " }\n", + " self.workflow_vs.add_texts([text], [metadata])\n", + " \n", + " def read_workflow(self, query: str, k: int = 3) -> str:\n", + " \"\"\"Search for similar past workflows with at least 1 step.\"\"\"\n", + " # Filter to only include workflows that have steps (num_steps > 0)\n", + " results = self.workflow_vs.similarity_search(\n", + " query, \n", + " k=k, \n", + " filter={\"num_steps\": {\"$gt\": 0}}\n", + " )\n", + " if not results:\n", + " return \"## Workflow Memory\\nNo relevant workflows found.\"\n", + " content = \"\\n---\\n\".join([doc.page_content for doc in results])\n", + " return f\"\"\"## Workflow Memory: This are the past workflows that are relevant to the question \\n\n", + " ### How to use: Use the steps and use them to answer the question, especially when using tools and external sources \\n\n", + " {content}\"\"\"\n", + " \n", + " # ==================== TOOLBOX (Vector Store) ====================\n", + " \n", + " def write_toolbox(self, text: str, metadata: dict):\n", + " \"\"\"Store a tool definition in the toolbox.\"\"\"\n", + " self.toolbox_vs.add_texts([text], [metadata])\n", + " \n", + " def read_toolbox(self, query: str, k: int = 3) -> list[dict]:\n", + " \"\"\"Find relevant tools and return OpenAI-compatible schemas.\"\"\"\n", + " results = self.toolbox_vs.similarity_search(query, k=k)\n", + " tools = []\n", + " for doc in results:\n", + " meta = doc.metadata\n", + " # Build simple OpenAI tool schema\n", + " tools.append({\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": meta.get(\"name\", \"tool\"),\n", + " \"description\": meta.get(\"description\", \"\"),\n", + " \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}\n", + " }\n", + " })\n", + " return tools\n", + "\n", + " # ==================== ENTITY (Vector Store) ====================\n", + " \n", + " def extract_entities(self, text: str, llm_client) -> list[dict]:\n", + " \"\"\"Use LLM to extract entities (people, places, systems) from text.\"\"\"\n", + " if not text or len(text.strip()) < 5:\n", + " return []\n", + " \n", + " prompt = f'''Extract entities from: \"{text[:500]}\"\n", + "Return JSON: [{{\"name\": \"X\", \"type\": \"PERSON|PLACE|SYSTEM\", \"description\": \"brief\"}}]\n", + "If none: []'''\n", + "\n", + " try:\n", + " response = llm_client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[{\"role\": \"user\", \"content\": prompt}],\n", + " temperature=0.0,\n", + " max_tokens=300\n", + " )\n", + " result = response.choices[0].message.content.strip()\n", + " \n", + " # Extract JSON array from response\n", + " start, end = result.find(\"[\"), result.rfind(\"]\")\n", + " if start == -1 or end == -1:\n", + " return []\n", + " \n", + " parsed = json_lib.loads(result[start:end+1])\n", + " return [{\"name\": e[\"name\"], \"type\": e.get(\"type\", \"UNKNOWN\"), \"description\": e.get(\"description\", \"\")} \n", + " for e in parsed if isinstance(e, dict) and e.get(\"name\")]\n", + " except:\n", + " return []\n", + " \n", + " def write_entity(self, name: str, entity_type: str, description: str, llm_client=None, text: str = None):\n", + " \"\"\"Store an entity OR extract and store entities from text.\"\"\"\n", + " if text and llm_client:\n", + " # Extract and store entities from text\n", + " entities = self.extract_entities(text, llm_client)\n", + " for e in entities:\n", + " self.entity_vs.add_texts(\n", + " [f\"{e['name']} ({e['type']}): {e['description']}\"],\n", + " [{\"name\": e['name'], \"type\": e['type'], \"description\": e['description']}]\n", + " )\n", + " return entities\n", + " else:\n", + " # Store single entity directly\n", + " self.entity_vs.add_texts(\n", + " [f\"{name} ({entity_type}): {description}\"],\n", + " [{\"name\": name, \"type\": entity_type, \"description\": description}]\n", + " )\n", + " \n", + " def read_entity(self, query: str, k: int = 5) -> str:\n", + " \"\"\"Search for relevant entities.\"\"\"\n", + " results = self.entity_vs.similarity_search(query, k=k)\n", + " if not results:\n", + " return \"## Entity Memory\\nNo entities found.\"\n", + " \n", + " entities = [f\"• {doc.metadata.get('name', '?')}: {doc.metadata.get('description', '')}\" \n", + " for doc in results if hasattr(doc, 'metadata')]\n", + " return f\"\"\"## Entity Memory: This are the entities that are relevant to the question\\n\n", + " ### How to use: Use the entities to answer the question, especially when having long conversations\\n\n", + " {entities}\"\"\"\n", + " \n", + " # ==================== SUMMARY (Vector Store) ====================\n", + " \n", + " def write_summary(self, summary_id: str, full_content: str, summary: str, description: str):\n", + " \"\"\"Store a summary with its original content.\"\"\"\n", + " self.summary_vs.add_texts(\n", + " [f\"{summary_id}: {description}\"],\n", + " [{\"id\": summary_id, \"full_content\": full_content, \"summary\": summary, \"description\": description}]\n", + " )\n", + " return summary_id\n", + " \n", + " def read_summary_memory(self, summary_id: str) -> str:\n", + " \"\"\"Retrieve a specific summary by ID (just-in-time retrieval).\"\"\"\n", + " results = self.summary_vs.similarity_search(\n", + " summary_id, \n", + " k=5, \n", + " filter={\"id\": summary_id}\n", + " )\n", + " if not results:\n", + " return f\"Summary {summary_id} not found.\"\n", + " doc = results[0]\n", + " return doc.metadata.get('summary', 'No summary content.')\n", + " \n", + " def read_summary_context(self, query: str = \"\", k: int = 10) -> str:\n", + " \"\"\"Get available summaries for context window (IDs + descriptions only).\"\"\"\n", + " results = self.summary_vs.similarity_search(query or \"summary\", k=k)\n", + " if not results:\n", + " return \"## Summary Memory\\nNo summaries available.\"\n", + " \n", + " lines = [\"## Summary Memory\", \"Use expand_summary(id) to get full content:\"]\n", + " for doc in results:\n", + " sid = doc.metadata.get('id', '?')\n", + " desc = doc.metadata.get('description', 'No description')\n", + " lines.append(f\" • [ID: {sid}] {desc}\")\n", + " return \"\\n\".join(lines) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b775acc2", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize the MemoryLayer instance\n", + "# Note: Uses SQL table for conversational memory, vector stores for others\n", + "memory_layer = MemoryLayer(\n", + " conn=vector_conn,\n", + " conversation_table=CONVERSATION_HISTORY_TABLE, \n", + " knowledge_base_vs=knowledge_base_vs,\n", + " workflow_vs=workflow_vs,\n", + " toolbox_vs=toolbox_vs,\n", + " entity_vs=entity_vs,\n", + " summary_vs=summary_vs\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "a1879e58", + "metadata": {}, + "source": [ + "## Creating the Agent's Toolbox" + ] + }, + { + "cell_type": "markdown", + "id": "8c0b03d9", + "metadata": {}, + "source": [ + "### The Scalability Problem with Tools\n", + "\n", + "As your AI system grows, you might have **hundreds of tools** available—APIs, database queries, calculators, search engines, and more. However, passing all tools to the LLM at inference time creates serious problems:\n", + "\n", + "| Problem | Impact |\n", + "|---------|--------|\n", + "| **Context bloat** | Tool definitions consume tokens, leaving less room for actual content |\n", + "| **Tool selection failure** | LLMs struggle to choose the right tool when presented with too many options |\n", + "| **Increased latency** | More tokens = slower inference |\n", + "| **Higher costs** | More tokens = higher API costs |\n", + "\n", + "Model providers like OpenAI and Anthropic typically recommend limiting the number of tools exposed to an LLM (often 10-20 max for reliable selection).\n", + "\n", + "### The Solution: Semantic Tool Retrieval\n", + "\n", + "The `Toolbox` class solves this by treating tools as a **searchable memory**:\n", + "\n", + "1. **Register hundreds of tools** — Store all available tools with their descriptions and embeddings\n", + "2. **Retrieve only relevant tools** — At inference time, use vector search to find tools semantically relevant to the current query\n", + "3. **Pass a focused toolset** — Only the retrieved tools (typically 3-5) are passed to the LLM\n", + "\n", + "This approach means your system can **scale to hundreds of tools** while the LLM only sees the most relevant ones for each query.\n", + "\n", + "### How the Code Works\n", + "\n", + "The `Toolbox` class uses **docstrings as the retrieval key**:\n", + "\n", + "```\n", + "User Query → Embed Query → Vector Search → Find tools with similar docstrings → Return relevant tools\n", + "```\n", + "\n", + "| Component | Purpose |\n", + "|-----------|---------|\n", + "| `get_embedding()` | Converts tool description to a vector |\n", + "| `ToolMetadata` | Pydantic model storing tool name, description, signature, parameters |\n", + "| `_augment_docstring()` | Uses LLM to improve the docstring for better retrieval |\n", + "| `_generate_queries()` | Creates synthetic queries that would trigger this tool |\n", + "| `register_tool()` | Decorator that stores tool with its embedding in the toolbox |\n", + "\n", + "When you call `memory_layer.read_toolbox(query)`, it performs a similarity search to find tools whose docstrings are semantically similar to the query.\n", + "\n", + "### The Intersection of Three Engineering Disciplines\n", + "\n", + "This implementation combines techniques from **memory engineering**, **context engineering**, and **prompt engineering**:\n", + "\n", + "| Discipline | Technique Used | How It Helps |\n", + "|------------|----------------|--------------|\n", + "| **Memory Engineering** | Toolbox as procedural memory | Tools are stored and retrieved like learned skills |\n", + "| **Memory Engineering** | Docstring augmentation | LLM improves docstrings for better semantic retrieval |\n", + "| **Memory Engineering** | Synthetic query generation | Creates example queries to improve tool discoverability |\n", + "| **Context Engineering** | Selective tool retrieval | Only relevant tools enter the context, reducing bloat |\n", + "| **Context Engineering** | Context offloading | Tool results can be summarized to save context space |\n", + "| **Prompt Engineering** | Role setting | \"You are a technical writer\" improves docstring quality |\n", + "\n", + "### Key Insight\n", + "\n", + "The `augment=True` flag in `@toolbox.register_tool(augment=True)` triggers:\n", + "1. **Docstring augmentation** — LLM rewrites the docstring to be clearer and more searchable\n", + "2. **Synthetic query generation** — LLM generates example queries that would need this tool\n", + "3. **Rich embedding** — Combines name + augmented docstring + signature + queries for better retrieval\n", + "\n", + "This means a simple one-line docstring like `\"Search the web\"` becomes a rich, detailed description that's much more likely to be retrieved when the user asks something like `\"What's the latest news about AI?\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d418dd1", + "metadata": {}, + "outputs": [], + "source": [ + "import inspect\n", + "import uuid\n", + "from typing import Callable, Optional, Union\n", + "from pydantic import BaseModel\n", + "\n", + "def get_embedding(text: str) -> list[float]:\n", + " \"\"\"\n", + " Get the embedding for a text using the configured embedding model.\n", + " \"\"\"\n", + " return embedding_model.embed_query(text)\n", + "\n", + "\n", + "class ToolMetadata(BaseModel):\n", + " \"\"\"Metadata for a registered tool.\"\"\"\n", + " name: str\n", + " description: str\n", + " signature: str\n", + " parameters: dict\n", + " return_type: str\n", + "\n", + "\n", + "class Toolbox:\n", + " \"\"\"\n", + " A toolbox for registering, storing, and retrieving tools with LLM-powered augmentation.\n", + " \n", + " Tools are stored with embeddings for semantic retrieval, allowing the agent to\n", + " find relevant tools based on natural language queries.\n", + " \"\"\"\n", + " \n", + " def __init__(self, memory_layer, llm_client, model: str = \"gpt-4o-mini\"):\n", + " \"\"\"\n", + " Initialize the Toolbox.\n", + " \n", + " Args:\n", + " memory_layer: MemoryLayer instance for storing tools\n", + " llm_client: OpenAI client for LLM augmentation\n", + " model: Model to use for augmentation (default: gpt-4o-mini)\n", + " \"\"\"\n", + " self.memory_layer = memory_layer\n", + " self.llm_client = llm_client\n", + " self.model = model\n", + " self._tools: dict[str, Callable] = {} # Maps tool_id -> callable\n", + " self._tools_by_name: dict[str, Callable] = {} # Maps function_name -> callable for execution\n", + " \n", + " def _augment_docstring(self, docstring: str) -> str:\n", + " \"\"\"\n", + " Use LLM to improve and expand a tool's docstring.\n", + " \n", + " Takes a basic docstring and returns an enhanced version with:\n", + " - Clearer description of what the tool does\n", + " - Better formatted parameters and return values\n", + " - Usage examples and edge cases\n", + " \n", + " Args:\n", + " docstring: The original docstring to augment\n", + " \n", + " Returns:\n", + " An improved, more detailed docstring\n", + " \"\"\"\n", + " if not docstring.strip():\n", + " return \"No description provided.\"\n", + "\n", + "\n", + " # NOTE: The role description of a technical writer below is a prompt engineering technique that is used to improve the quality of the docstring\n", + " # Athough there are research that suggest that role description doesn't realy affect the quality of the LLM's output, it is still a useful technique\n", + " # and it is a good [prompt engineering] technique to know.\n", + " prompt = f\"\"\"You are a technical writer. Improve the following function docstring to be more clear, \n", + " comprehensive, and useful. Include:\n", + " 1. A clear concise summary\n", + " 2. Detailed description of what the function does\n", + " 3. When to use this function\n", + " 4. Any important notes or caveats\n", + "\n", + " Original docstring:\n", + " {docstring}\n", + "\n", + " Return ONLY the improved docstring, no other text.\n", + " \"\"\"\n", + "\n", + " response = self.llm_client.chat.completions.create(\n", + " model=self.model,\n", + " messages=[{\"role\": \"user\", \"content\": prompt}],\n", + " temperature=0.3,\n", + " max_tokens=500\n", + " )\n", + " \n", + " return response.choices[0].message.content.strip()\n", + " \n", + " def _generate_queries(self, docstring: str, num_queries: int = 5) -> list[str]:\n", + " \"\"\"\n", + " Generate synthetic example queries that would lead to using this tool.\n", + " \n", + " These queries are used to improve retrieval - by embedding both the tool\n", + " description AND example queries, we increase the chances of finding the\n", + " right tool when the user asks a related question.\n", + " \n", + " Args:\n", + " docstring: The tool's docstring (ideally augmented)\n", + " num_queries: Number of example queries to generate\n", + " \n", + " Returns:\n", + " List of example natural language queries\n", + " \"\"\"\n", + " prompt = f\"\"\"Based on the following tool description, generate {num_queries} diverse example queries \n", + " that a user might ask when they need this tool. Make them natural and varied.\n", + "\n", + " Tool description:\n", + " {docstring}\n", + "\n", + " Return ONLY a JSON array of strings, like: [\"query1\", \"query2\", ...]\n", + " \"\"\"\n", + "\n", + " response = self.llm_client.chat.completions.create(\n", + " model=self.model,\n", + " messages=[{\"role\": \"user\", \"content\": prompt}],\n", + " temperature=0.3,\n", + " max_tokens=300\n", + " )\n", + " \n", + " try:\n", + " import json\n", + " queries = json.loads(response.choices[0].message.content.strip())\n", + " return queries if isinstance(queries, list) else []\n", + " except json.JSONDecodeError:\n", + " # Fallback: extract queries from text\n", + " return [response.choices[0].message.content.strip()]\n", + " \n", + " def _get_tool_metadata(self, func: Callable) -> ToolMetadata:\n", + " \"\"\"\n", + " Extract metadata from a function for storage and retrieval.\n", + " \n", + " Args:\n", + " func: The function to extract metadata from\n", + " \n", + " Returns:\n", + " ToolMetadata object with function details\n", + " \"\"\"\n", + " sig = inspect.signature(func)\n", + " \n", + " # Extract parameter info\n", + " parameters = {}\n", + " for name, param in sig.parameters.items():\n", + " param_info = {\"name\": name}\n", + " if param.annotation != inspect.Parameter.empty:\n", + " param_info[\"type\"] = str(param.annotation)\n", + " if param.default != inspect.Parameter.empty:\n", + " param_info[\"default\"] = str(param.default)\n", + " parameters[name] = param_info\n", + " \n", + " # Extract return type\n", + " return_type = \"Any\"\n", + " if sig.return_annotation != inspect.Signature.empty:\n", + " return_type = str(sig.return_annotation)\n", + " \n", + " return ToolMetadata(\n", + " name=func.__name__,\n", + " description=func.__doc__ or \"No description\",\n", + " signature=str(sig),\n", + " parameters=parameters,\n", + " return_type=return_type\n", + " )\n", + " \n", + " def register_tool(\n", + " self, func: Optional[Callable] = None, augment: bool = False\n", + " ) -> Union[str, Callable]:\n", + " \"\"\"\n", + " Register a function as a tool in the toolbox.\n", + "\n", + " Can be used as a decorator or called directly:\n", + " \n", + " @toolbox.register_tool\n", + " def my_tool(): ...\n", + " \n", + " @toolbox.register_tool(augment=True)\n", + " def my_enhanced_tool(): ...\n", + " \n", + " tool_id = toolbox.register_tool(some_function)\n", + "\n", + " Parameters:\n", + " -----------\n", + " func : Callable, optional\n", + " The function to register as a tool. If None, returns a decorator.\n", + " augment : bool, optional\n", + " Whether to augment the tool docstring and generate synthetic queries\n", + " using the configured LLM provider.\n", + " \n", + " Returns:\n", + " --------\n", + " Union[str, Callable]\n", + " If func is provided, returns the tool ID. Otherwise returns a decorator.\n", + " \"\"\"\n", + "\n", + " def decorator(f: Callable) -> str:\n", + " docstring = f.__doc__ or \"\"\n", + " signature = str(inspect.signature(f))\n", + " object_id = uuid.uuid4()\n", + " object_id_str = str(object_id)\n", + "\n", + " # NOTE: Augmentation is a technique that is used to improve the quality of the tool's docstring\n", + " # by using the LLM to enhance the tool's discoverability and retrieval this is a [memory engineering] technique\n", + " if augment:\n", + " # Use LLM to enhance the tool's discoverability\n", + " augmented_docstring = self._augment_docstring(docstring)\n", + " queries = self._generate_queries(augmented_docstring)\n", + " \n", + " # Create rich embedding text combining all information\n", + " embedding_text = f\"{f.__name__} {augmented_docstring} {signature} {' '.join(queries)}\"\n", + " embedding = get_embedding(embedding_text)\n", + " \n", + " tool_data = self._get_tool_metadata(f)\n", + " tool_data.description = augmented_docstring # Use augmented description\n", + "\n", + " tool_dict = {\n", + " \"_id\": object_id_str, # Use string, not UUID object\n", + " \"embedding\": embedding,\n", + " \"queries\": queries,\n", + " \"augmented\": True,\n", + " **tool_data.model_dump(),\n", + " }\n", + " else:\n", + " # Basic registration without augmentation\n", + " embedding = get_embedding(f\"{f.__name__} {docstring} {signature}\")\n", + " tool_data = self._get_tool_metadata(f)\n", + "\n", + " tool_dict = {\n", + " \"_id\": object_id_str, # Use string, not UUID object\n", + " \"embedding\": embedding,\n", + " \"augmented\": False,\n", + " **tool_data.model_dump(),\n", + " }\n", + "\n", + " # Store the tool in the toolbox memory for retrieval\n", + " # The embedding enables semantic search to find relevant tools\n", + " self.memory_layer.write_toolbox(\n", + " f\"{f.__name__} {docstring} {signature}\", \n", + " tool_dict\n", + " )\n", + " \n", + " # Keep reference to the callable for execution\n", + " self._tools[object_id_str] = f\n", + " self._tools_by_name[f.__name__] = f # Also store by name for easy lookup\n", + " return object_id_str\n", + "\n", + " if func is None:\n", + " return decorator\n", + " return decorator(func)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7eb6bacd", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fb27c840", + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "\n", + "client = OpenAI()\n", + "\n", + "# Initialize the Toolbox\n", + "toolbox = Toolbox(memory_layer=memory_layer, llm_client=client)" + ] + }, + { + "cell_type": "markdown", + "id": "305bc1bd", + "metadata": {}, + "source": [ + "# Context Engineering Techniques\n" + ] + }, + { + "cell_type": "markdown", + "id": "2e4ac84b", + "metadata": {}, + "source": [ + "> **Context engineering** refers to the set of strategies for curating and maintaining the optimal set of tokens (information) during LLM inference, including all the other information that may land there outside of the prompts.\n", + "> \n", + "> — *Anthropic*\n", + "\n", + "While memory engineering focuses on *what to store and retrieve*, context engineering focuses on *how to manage what's in the context window right now*. This includes monitoring usage, compressing information, and providing just-in-time access to details.\n", + "\n", + "## What This Section Covers\n", + "\n", + "| Step | Function | Purpose |\n", + "|------|----------|---------|\n", + "| **1. Calculate Usage** | `calculate_context_usage()` | Monitor what % of the context window is used |\n", + "| **2. Summarize** | `summarise_context_window()` | Compress long content into summaries using LLM |\n", + "| **3. Offload** | `offload_to_summary()` | Auto-trigger summarization when usage exceeds threshold |\n", + "| **4. Just-in-Time Retrieval** | `expand_summary()` tool | Let agent expand summaries on demand |\n", + "\n", + "**`Just-In-Time (JIT)`** retrieval is the process of fetching only the information needed at the exact moment the agent requires it, based on the current task, query, or reasoning step. Instead of loading pre-computed or pre-cached context upfront, the system dynamically retrieves the minimal, most relevant data on demand, ensuring efficiency and reducing context overload. In the context of agent memory JIT is a retrieval-control strategy where memory access is triggered by the agent’s current goal, query, or reasoning step. Rather than preloading large histories or the full knowledge base, the system dynamically filters, ranks, and injects only the information that materially influences the next token. This reduces context saturation, improves attention allocation, and increases reasoning fidelity.\n", + "\n", + "## The Context Management Flow\n", + "\n", + "```\n", + "Context built → Check usage % → If >80%: Summarize & offload → Store summary with ID\n", + " ↓\n", + "Agent sees: [Summary ID: abc123] Brief description ← Agent can call expand_summary(\"abc123\") if needed\n", + "```\n", + "\n", + "This approach keeps the context lean while giving the agent access to full details when required." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d39643d7", + "metadata": {}, + "outputs": [], + "source": [ + "# Context window calculator - returns percentage used\n", + "def calculate_context_usage(context: str, model: str = \"gpt-4o-mini\") -> dict:\n", + " \"\"\"Calculate context window usage as percentage.\"\"\"\n", + " estimated_tokens = len(context) // 4 # ~4 chars per token\n", + " max_tokens = MODEL_TOKEN_LIMITS.get(model, 128000)\n", + " percentage = (estimated_tokens / max_tokens) * 100\n", + " return {\"tokens\": estimated_tokens, \"max\": max_tokens, \"percent\": round(percentage, 1)}\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea6db760", + "metadata": {}, + "outputs": [], + "source": [ + "# Context summariser - calls LLM and stores summary\n", + "import uuid\n", + "\n", + "def summarise_context_window(content: str, memory_layer, llm_client, model: str = \"gpt-4o-mini\") -> dict:\n", + " \"\"\"Summarise content using LLM and store in summary memory.\"\"\"\n", + " # Call LLM to summarise\n", + " response = llm_client.chat.completions.create(\n", + " model=model,\n", + " messages=[{\"role\": \"user\", \"content\": f\"Summarise this in 2-3 sentences:\\n{content[:3000]}\"}],\n", + " max_tokens=200\n", + " )\n", + " summary = response.choices[0].message.content\n", + " \n", + " # Generate one-liner description\n", + " desc_response = llm_client.chat.completions.create(\n", + " model=model,\n", + " messages=[{\"role\": \"user\", \"content\": f\"Write a 10-word label for: {summary}\"}],\n", + " max_tokens=30\n", + " )\n", + " description = desc_response.choices[0].message.content.strip()\n", + " \n", + " # Store in memory\n", + " summary_id = str(uuid.uuid4())[:8]\n", + " memory_layer.write_summary(summary_id, content, summary, description)\n", + " \n", + " return {\"id\": summary_id, \"description\": description, \"summary\": summary}\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1a7538a", + "metadata": {}, + "outputs": [], + "source": [ + "# Context offloader - replaces content with summary reference\n", + "def offload_to_summary(context: str, memory_layer, llm_client, threshold_percent: float = 80.0) -> tuple:\n", + " \"\"\"If context exceeds threshold, summarise and return compacted version.\"\"\"\n", + " usage = calculate_context_usage(context)\n", + " \n", + " if usage['percent'] < threshold_percent:\n", + " return context, [] # No offload needed\n", + " \n", + " # Summarise the context\n", + " result = summarise_context_window(context, memory_layer, llm_client)\n", + " \n", + " # Return compact reference instead of full content\n", + " compact = f\"[Summary ID: {result['id']}] {result['description']}\"\n", + " return compact, [result]\n" + ] + }, + { + "cell_type": "markdown", + "id": "77c1efd3", + "metadata": {}, + "source": [ + "### Summary Tools & Conversation Compaction\n", + "\n", + "Below we register the `expand_summary` and `summarize_and_store` functions as tools the agent can call.\n", + "\n", + "#### Design Logic: Why Mark Instead of Delete?\n", + "\n", + "When conversation history grows large, we need to reduce context window usage. We had two choices:\n", + "\n", + "| Approach | Pros | Cons |\n", + "|----------|------|------|\n", + "| **Delete summarized messages** | Simple, immediate space savings | Permanent data loss, can't audit or recover |\n", + "| **Mark as summarized (our choice)** | Preserves history, reversible, auditable | Slightly more complex queries |\n", + "\n", + "**Our intuition:** Memory should be *compressed*, or *forgotten* not *erased*. By marking messages with a `summary_id` instead of deleting them:\n", + "\n", + "1. **Full history is preserved** — Original messages remain in the database for auditing, debugging, or reprocessing\n", + "2. **Linkage is maintained** — Each summary knows which messages it represents (via `summary_id`)\n", + "3. **Reversible** — If a summary is deleted, you could \"unsummarize\" by clearing the `summary_id`\n", + "\n", + "#### The Flow\n", + "\n", + "```\n", + "Thread has 50 messages → Context too large → summarize_conversation(thread_id)\n", + " ↓\n", + " 1. Read unsummarized messages\n", + " 2. LLM summarizes them\n", + " 3. Store summary with unique ID\n", + " 4. UPDATE messages SET summary_id = 'abc123'\n", + " ↓\n", + " Next read: Only new messages appear + Summary ID reference\n", + "```\n", + "\n", + "This is a form of **log compaction** — a pattern borrowed from databases and message queues where old entries are compressed but not lost." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54eb2bb6", + "metadata": {}, + "outputs": [], + "source": [ + "# Summary tools for the agent\n", + "@toolbox.register_tool(augment=True)\n", + "def expand_summary(summary_id: str) -> str:\n", + " \"\"\"Expand a summary reference to full content. Use when you need more details from a [Summary ID: xxx] reference.\"\"\"\n", + " return memory_layer.read_summary_memory(summary_id)\n", + "\n", + "@toolbox.register_tool(augment=True)\n", + "def summarize_and_store(text: str, thread_id: str = None) -> str:\n", + " \"\"\"Summarize long text and store in memory. Returns a summary ID for later retrieval with expand_summary.\"\"\"\n", + " result = summarise_context_window(text, memory_layer, client)\n", + " # If thread_id provided, mark conversation messages as summarized\n", + " if thread_id:\n", + " memory_layer.mark_as_summarized(thread_id, result['id'])\n", + " return f\"Stored as [Summary ID: {result['id']}] {result['description']}\"\n", + "\n", + "def summarize_conversation(thread_id: str) -> dict:\n", + " \"\"\"\n", + " Summarize all unsummarized messages in a thread and mark them.\n", + " Call this to compact a thread's conversation history.\n", + " \"\"\"\n", + " # Read current unsummarized messages\n", + " conv_memory = memory_layer.read_conversational_memory(thread_id, limit=100)\n", + " \n", + " if not conv_memory or \"[]\" in conv_memory:\n", + " return {\"status\": \"nothing_to_summarize\"}\n", + " \n", + " # Summarize the conversation\n", + " result = summarise_context_window(conv_memory, memory_layer, client)\n", + " \n", + " # Mark messages as summarized\n", + " memory_layer.mark_as_summarized(thread_id, result['id'])\n", + " \n", + " print(f\"✅ Conversation summarized: [Summary ID: {result['id']}]\")\n", + " return result\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "d05404f5", + "metadata": {}, + "source": [ + "# Web Access with Tavily\n" + ] + }, + { + "cell_type": "markdown", + "id": "a0cce642", + "metadata": {}, + "source": [ + "This section demonstrates how to create an **agentic tool** that the LLM can call to search the web. \n", + "\n", + "We use [Tavily](https://tavily.com/), an AI-optimized search API designed for LLM applications.\n", + "\n", + "## What This Section Does\n", + "\n", + "1. **Initialize the Tavily client** — Set up the search API with an API key\n", + "2. **Register `search_tavily` as a tool** — Use `@toolbox.register_tool(augment=True)` to make it discoverable\n", + "3. **Implement the search-and-store pattern** — Results are automatically written to knowledge base memory\n", + "4. **Test tool retrieval** — Verify the tool can be found via semantic search\n", + "\n", + "## The Search-and-Store Pattern\n", + "\n", + "One thing to note is that not only do we get external context that is not available to the Agent at execution, but we persists this to the knowledge base memory and the Agent can reuse this information in subsequent iteration.\n", + "When the agent calls `search_tavily()`, it doesn't just return results—it **persists them to the knowledge base**:\n", + "\n", + "```\n", + "Agent calls search_tavily(\"latest AI news\")\n", + " ↓\n", + "Tavily API returns results\n", + " ↓\n", + "Each result is written to knowledge_base_vs with metadata (title, URL, timestamp)\n", + " ↓\n", + "Future queries can retrieve this information without searching again\n", + "```\n", + "\n", + "This pattern means the agent **learns** from its searches. Information discovered once becomes part of the agent's long-term memory, available for future conversations without additional API calls." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6772460e", + "metadata": {}, + "outputs": [], + "source": [ + "from tavily import TavilyClient\n", + "from datetime import datetime\n", + "\n", + "tavily_client = TavilyClient(api_key=\"\")\n", + "\n", + "@toolbox.register_tool(augment=True)\n", + "def search_tavily(query: str, max_results: int = 5):\n", + " \"\"\"\n", + " Use this function to search the web and store the results in the knowledge base.\n", + " \"\"\"\n", + " response = tavily_client.search(query=query, max_results=max_results)\n", + " results = response.get(\"results\", [])\n", + "\n", + " # Write each result to the knowledge base\n", + " for result in results:\n", + " # Create the text content to embed\n", + " text = f\"Title: {result.get('title', '')}\\nContent: {result.get('content', '')}\\nURL: {result.get('url', '')}\"\n", + " \n", + " # Create metadata\n", + " metadata = {\n", + " \"title\": result.get(\"title\", \"\"),\n", + " \"url\": result.get(\"url\", \"\"),\n", + " \"score\": result.get(\"score\", 0),\n", + " \"source_type\": \"tavily_search\",\n", + " \"query\": query,\n", + " \"timestamp\": datetime.now().isoformat()\n", + " }\n", + " \n", + " # Write to knowledge base\n", + " memory_layer.write_knowledge_base(text, metadata)\n", + "\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7c7f8535", + "metadata": {}, + "outputs": [], + "source": [ + "import pprint\n", + "retreived_tools = memory_layer.read_toolbox(\"Search the internet\")\n", + "pprint.pprint(retreived_tools)" + ] + }, + { + "cell_type": "markdown", + "id": "9e993b26", + "metadata": {}, + "source": [ + "# Agent Execution\n" + ] + }, + { + "cell_type": "markdown", + "id": "7e94e836", + "metadata": {}, + "source": [ + "This is where everything comes together. We build a complete **agent loop** that integrates all the memory types, context engineering, and tool calling we've implemented.\n", + "\n", + "## What This Section Contains\n", + "\n", + "| Component | Purpose |\n", + "|-----------|---------|\n", + "| `AGENT_SYSTEM_PROMPT` | Instructions telling the LLM how to use memory and tools |\n", + "| `execute_tool()` | Looks up and executes tools from the toolbox by name |\n", + "| `call_openai_chat()` | Wrapper for OpenAI Chat Completions API with tool support |\n", + "| `call_agent()` | The main agent loop that orchestrates everything |\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc1e5e6e", + "metadata": {}, + "outputs": [], + "source": [ + "import json as json_lib\n", + "\n", + "client = OpenAI()\n", + "\n", + "# ==================== SYSTEM PROMPT ====================\n", + "AGENT_SYSTEM_PROMPT = \"\"\"\n", + "# System Instructions\n", + "You are an intelligent assistant with access to memory and tools.\n", + "\n", + "IMPORTANT: The user's input contains CONTEXT that has already been retrieved for you:\n", + "- Conversation Memory: Previous conversations\n", + "- Knowledge Base Memory: Relevant documents\n", + "- Summary Memory: Compressed summaries with IDs\n", + "\n", + "## Summary Memory\n", + "When you see [Summary ID: xxx] entries, you can call expand_summary(summary_id) to get the full content.\n", + "Use this for just-in-time retrieval when you need more details.\n", + "\n", + "When answering:\n", + "1. FIRST, use the context provided in the input\n", + "2. If you need more detail from a summary, call expand_summary\n", + "3. Only use search tools if context is insufficient\n", + "\"\"\"\n", + "\n", + "def execute_tool(tool_name: str, tool_args: dict) -> str:\n", + " \"\"\"Execute a tool by looking it up in the toolbox.\"\"\"\n", + " \n", + " if tool_name not in toolbox._tools_by_name:\n", + " return f\"Error: Tool '{tool_name}' not found\"\n", + " \n", + " return str(toolbox._tools_by_name[tool_name](**tool_args) or \"Done\")\n", + "\n", + "# ==================== OPENAI CHAT FUNCTION ====================\n", + "def call_openai_chat(messages: list, tools: list = None, model: str = \"gpt-4o-mini\", temperature: float = 0.4):\n", + " \"\"\"Call OpenAI Chat Completions API with tools.\"\"\"\n", + " kwargs = {\"model\": model, \"messages\": messages, \"temperature\": temperature}\n", + " if tools:\n", + " kwargs[\"tools\"] = tools\n", + " kwargs[\"tool_choice\"] = \"auto\"\n", + " return client.chat.completions.create(**kwargs)" + ] + }, + { + "cell_type": "markdown", + "id": "9f5c797b", + "metadata": {}, + "source": [ + "## The Agent Loop Flow\n", + "\n", + "```\n", + "1. BUILD CONTEXT\n", + " ├── Read conversational memory (chat history)\n", + " ├── Read knowledge base (relevant documents)\n", + " ├── Read workflow memory (past action patterns)\n", + " ├── Read entity memory (people, places, systems)\n", + " └── Read summary context (available summary IDs)\n", + "\n", + "2. CHECK CONTEXT USAGE\n", + " └── If >80% used → Summarize and offload\n", + "\n", + "3. GET TOOLS\n", + " └── Retrieve semantically relevant tools from toolbox\n", + "\n", + "4. STORE USER MESSAGE\n", + " └── Write to conversational memory + extract entities\n", + "\n", + "5. AGENT LOOP (up to max_iterations)\n", + " ├── Call LLM with context + tools\n", + " ├── If tool calls → Execute tools, add results to messages\n", + " └── If no tool calls → Return final answer\n", + "\n", + "6. SAVE RESULTS\n", + " ├── Write workflow (if tools were used)\n", + " ├── Extract entities from response\n", + " └── Store assistant response in conversational memory\n", + "```\n", + "\n", + "## Key Design Decisions\n", + "\n", + "- **Memory is loaded programmatically** — The agent always has context without deciding to \"remember\"\n", + "- **Tools are retrieved semantically** — Only relevant tools are passed to the LLM\n", + "- **Context is monitored** — Auto-summarization prevents overflow\n", + "- **Everything is persisted** — Conversations, workflows, and entities are saved for future use" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5ddc7b7f", + "metadata": {}, + "outputs": [], + "source": [ + "# ==================== MAIN AGENT LOOP ====================\n", + "def call_agent(query: str, thread_id: str = \"1\", max_iterations: int = 10) -> str:\n", + " \"\"\"Agent loop with context window monitoring and summarization.\"\"\"\n", + " thread_id = str(thread_id)\n", + " steps = []\n", + " summaries = [] # Track created summaries\n", + " \n", + " # 1. Build context from memory\n", + " print(\"\\n\" + \"=\"*50)\n", + " print(\"🧠 BUILDING CONTEXT...\")\n", + " \n", + " context = f\"# Question\\n{query}\\n\\n\"\n", + " context += memory_layer.read_conversational_memory(thread_id) + \"\\n\\n\"\n", + " context += memory_layer.read_knowledge_base(query) + \"\\n\\n\"\n", + " context += memory_layer.read_workflow(query) + \"\\n\\n\"\n", + " context += memory_layer.read_entity(query) + \"\\n\\n\"\n", + " context += memory_layer.read_summary_context(query) + \"\\n\\n\" # Shows IDs + descriptions\n", + "\n", + " print(\"====CONTEXT WINDOW=====\\n\")\n", + " print(context)\n", + " \n", + " # 2. Check context usage - summarize if >80%\n", + " usage = calculate_context_usage(context)\n", + " print(f\"📊 Context: {usage['percent']}% ({usage['tokens']}/{usage['max']} tokens)\")\n", + " \n", + " if usage['percent'] > 80:\n", + " print(\"⚠️ Context >80% - summarizing...\")\n", + " context, summaries = offload_to_summary(context, memory_layer, client)\n", + " # Add summary references to context\n", + " if summaries:\n", + " summary_section = \"\\n## Summary Memory\\n\"\n", + " for s in summaries:\n", + " summary_section += f\"[Summary ID: {s['id']}] {s['description']}\\n\"\n", + " context = summary_section + \"\\n\" + context\n", + " usage = calculate_context_usage(context)\n", + " print(f\"📊 After summarization: {usage['percent']}%\")\n", + " \n", + " # 3. Get tools\n", + " dynamic_tools = memory_layer.read_toolbox(query, k=5)\n", + " print(f\"🔧 Tools: {[t['function']['name'] for t in dynamic_tools]}\")\n", + " \n", + " # 4. Store user message & extract entities\n", + " memory_layer.write_conversational_memory(query, \"user\", thread_id)\n", + " try:\n", + " memory_layer.write_entity(\"\", \"\", \"\", llm_client=client, text=query)\n", + " except: pass\n", + " \n", + " # 5. Agent loop\n", + " messages = [{\"role\": \"system\", \"content\": AGENT_SYSTEM_PROMPT}, {\"role\": \"user\", \"content\": context}]\n", + " final_answer = \"\"\n", + " \n", + " print(\"\\n🤖 AGENT LOOP\")\n", + " for iteration in range(max_iterations):\n", + " print(f\"\\n--- Iteration {iteration + 1} ---\")\n", + " \n", + " response = call_openai_chat(messages, tools=dynamic_tools)\n", + " msg = response.choices[0].message\n", + " \n", + " if msg.tool_calls:\n", + " messages.append({\"role\": \"assistant\", \"content\": msg.content, \"tool_calls\": [\n", + " {\"id\": tc.id, \"type\": \"function\", \"function\": {\"name\": tc.function.name, \"arguments\": tc.function.arguments}}\n", + " for tc in msg.tool_calls\n", + " ]})\n", + " \n", + " for tc in msg.tool_calls:\n", + " tool_name = tc.function.name\n", + " tool_args = json_lib.loads(tc.function.arguments)\n", + " print(f\"🛠️ {tool_name}({tool_args})\")\n", + " \n", + " try:\n", + " result = execute_tool(tool_name, tool_args)\n", + " steps.append(f\"{tool_name} → success\")\n", + " except Exception as e:\n", + " result = f\"Error: {e}\"\n", + " steps.append(f\"{tool_name} → failed\")\n", + " \n", + " print(f\" → {result[:200]}...\")\n", + " messages.append({\"role\": \"tool\", \"tool_call_id\": tc.id, \"content\": result})\n", + " else:\n", + " final_answer = msg.content or \"\"\n", + " print(f\"\\n✅ DONE ({len(steps)} tool calls)\")\n", + " break\n", + " \n", + " # 6. Save workflow & entities\n", + " if steps:\n", + " memory_layer.write_workflow(query, steps, final_answer)\n", + " try:\n", + " memory_layer.write_entity(\"\", \"\", \"\", llm_client=client, text=final_answer)\n", + " except: pass\n", + " memory_layer.write_conversational_memory(final_answer, \"assistant\", thread_id)\n", + " \n", + " print(\"\\n\" + \"=\"*50 + f\"\\n💬 ANSWER:\\n{final_answer}\\n\" + \"=\"*50)\n", + " return final_answer\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dd88f84", + "metadata": {}, + "outputs": [], + "source": [ + "call_agent(\"Check one of my summary memory and expand and tell me the details\", thread_id=\"0\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02d6d663", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "playground", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/oracle_rag_agents_zero_to_hero.ipynb b/notebooks/oracle_rag_agents_zero_to_hero.ipynb new file mode 100644 index 00000000..05ab5bd1 --- /dev/null +++ b/notebooks/oracle_rag_agents_zero_to_hero.ipynb @@ -0,0 +1,4351 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e322ad7c", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install -Uq oracledb sqlalchemy pandas sentence-transformers datasets einops \"numpy<2.0\"" + ] + }, + { + "cell_type": "markdown", + "id": "010cf528", + "metadata": {}, + "source": [ + "# Part 1. Oracle AI Database Local Installation" + ] + }, + { + "cell_type": "markdown", + "id": "20816044", + "metadata": {}, + "source": [ + "## 1.1 Local Installation of Oracle AI Database" + ] + }, + { + "cell_type": "markdown", + "id": "c687fd63", + "metadata": {}, + "source": [ + "**Oracle AI Database 26ai** is a **converged database** built for AI developers. \n", + "It unifies **relational, document, graph and vector data** in one engine — so you can build \n", + "**semantic search**, **RAG**, and **natural language to SQL** applications without leaving the database. \n", + "\n", + "Store embeddings, run vector search, and apply AI directly where your data lives — \n", + "**securely, efficiently, and at scale.**\n" + ] + }, + { + "cell_type": "markdown", + "id": "b0ad10f4", + "metadata": {}, + "source": [ + "For this notebook we will be using a local installation of [Oracle AI Database](https://www.oracle.com/database/free/get-started/)" + ] + }, + { + "cell_type": "markdown", + "id": "0308b61d", + "metadata": {}, + "source": [ + "1. Install & start Docker. Docker Desktop (Mac/Windows) or Docker Engine (Linux). Make sure it’s running.\n", + " - If installed with Docker Enginer, run from terminal ```open /Applications/Docker.app```\n", + "2. Pull [docker image](https://www.oracle.com/database/free/get-started/)\n", + "3. Run a container with oracle image\n", + "\n", + " ```\n", + " docker run -d \\\n", + " --name oracle-full \\\n", + " -p 1521:1521 -p 5500:5500 \\\n", + " -e ORACLE_PWD=OraclePwd_2025 \\\n", + " -e ORACLE_SID=FREE \\\n", + " -e ORACLE_PDB=FREEPDB1 \\\n", + " -v ~/oracle/full_data:/opt/oracle/oradata \\\n", + " container-registry.oracle.com/database/free:latest\n", + " ```" + ] + }, + { + "cell_type": "markdown", + "id": "9e0da924", + "metadata": {}, + "source": [ + "> 🚫 **Troubleshoot** \n", + "> If you see the error: \n", + "> *`docker: Error response from daemon: Conflict. The container name \"/oracle-full\" is already in use by container ... You have to remove (or rename) that container to be able to reuse that name.`* \n", + ">\n", + "> 🧩 **Fix:** \n", + "> - Remove the existing container: \n", + "> ```bash\n", + "> docker rm oracle-full\n", + "> ``` \n", + "> - Then re-run your Docker command from **Step 3** to start a new container.\n" + ] + }, + { + "cell_type": "markdown", + "id": "83c21e0d", + "metadata": {}, + "source": [ + "After running the docker command above in your terminal, you should see the image below if you click into the container running" + ] + }, + { + "cell_type": "markdown", + "id": "e61486cb", + "metadata": {}, + "source": [ + "![Docker Container Log](./images/docker_container_image.png)\n" + ] + }, + { + "cell_type": "markdown", + "id": "464c1481", + "metadata": {}, + "source": [ + "### 1.1.1 Connecting to Oracle AI Database" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "de8defa7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connection attempt 1/3...\n", + "✓ Connected successfully!\n", + "\n", + "Oracle AI Database 26ai Free Release 23.26.0.0.0 - Develop, Learn, and Run for Free\n" + ] + } + ], + "source": [ + "import oracledb\n", + "import time\n", + "\n", + "def connect_to_oracle(max_retries=3, retry_delay=5):\n", + " \"\"\"\n", + " Connect to Oracle database with retry logic and better error handling.\n", + " \n", + " Args:\n", + " max_retries: Maximum number of connection attempts\n", + " retry_delay: Seconds to wait between retries\n", + " \"\"\"\n", + " user = \"system\"\n", + " password = \"OraclePwd_2025\" # must match ORACLE_PWD from docker run\n", + " dsn = \"localhost:1521/FREEPDB1\"\n", + " \n", + " for attempt in range(1, max_retries + 1):\n", + " try:\n", + " print(f\"Connection attempt {attempt}/{max_retries}...\")\n", + " conn = oracledb.connect(\n", + " user=user,\n", + " password=password,\n", + " dsn=dsn\n", + " )\n", + " print(\"✓ Connected successfully!\")\n", + " \n", + " # Test the connection\n", + " with conn.cursor() as cur:\n", + " cur.execute(\"SELECT banner FROM v$version WHERE banner LIKE 'Oracle%';\")\n", + " banner = cur.fetchone()[0]\n", + " print(f\"\\n{banner}\")\n", + " \n", + " return conn\n", + " \n", + " except oracledb.OperationalError as e:\n", + " error_msg = str(e)\n", + " print(f\"✗ Connection failed (attempt {attempt}/{max_retries})\")\n", + " \n", + " if \"DPY-4011\" in error_msg or \"Connection reset by peer\" in error_msg:\n", + " print(\" → This usually means:\")\n", + " print(\" 1. Database is still starting up (wait 2-3 minutes)\")\n", + " print(\" 2. Listener is not bound to 0.0.0.0 (run fix_oracle_listener())\")\n", + " print(\" 3. Container is not running (check with check_docker_container())\")\n", + " \n", + " if attempt < max_retries:\n", + " print(f\"\\n Waiting {retry_delay} seconds before retry...\")\n", + " time.sleep(retry_delay)\n", + " else:\n", + " print(\"\\n 💡 Try running:\")\n", + " print(\" 1. check_docker_container() - verify container is running\")\n", + " print(\" 2. fix_oracle_listener() - fix listener binding\")\n", + " raise\n", + " else:\n", + " raise\n", + " except Exception as e:\n", + " print(f\"✗ Unexpected error: {e}\")\n", + " raise\n", + " \n", + " raise ConnectionError(\"Failed to connect after all retries\")\n", + "\n", + "# Connect to Oracle\n", + "conn = connect_to_oracle()" + ] + }, + { + "cell_type": "markdown", + "id": "31988f1d", + "metadata": {}, + "source": [ + "> 🚫 Troubleshoot: Oracle Database Free (Docker) — Connection Fix\n", + ">\n", + "> If you see errors like:\n", + ">\n", + "> ```\n", + "> OperationalError: DPY-6005: cannot connect to database\n", + "> DPY-4011: the database or network closed the connection\n", + "> TNS-12545: Connect failed because target host or object does not exist\n", + "> ```\n", + ">\n", + "> It means the **Oracle listener** inside the container is binding to the **container hostname** instead of `0.0.0.0`, preventing host connections.\n", + ">\n", + ">\n", + ">\n", + "> 🧩 Fix\n", + "> \n", + "> Run this exact command to patch the listener and restart it:\n", + "> \n", + "> ```bash\n", + "> docker exec -it oracle-full bash -lc '\n", + "> export ORACLE_HOME=${ORACLE_HOME:-/opt/oracle/product/26ai/dbhomeFree}\n", + "> export PATH=$ORACLE_HOME/bin:$PATH\n", + "> LISTENER_ORA=\"$ORACLE_HOME/network/admin/listener.ora\"\n", + "> \n", + "> echo \"== Fixing listener to use HOST=0.0.0.0\"\n", + "> sed -i \"s/(HOST *= *[^)]*)/(HOST = 0.0.0.0)/\" \"$LISTENER_ORA\"\n", + "> \n", + "> echo \"== Restarting listener\"\n", + "> lsnrctl stop || true\n", + "> lsnrctl start\n", + "> \n", + "> echo \"== Re-registering services\"\n", + "> echo \"ALTER SYSTEM REGISTER;\" | sqlplus -s / as sysdba\n", + "> \n", + "> echo \"== Listener status (first 20 lines):\"\n", + "> lsnrctl status | sed -n \"1,20p\"\n", + "> '\n", + "> ```\n", + "> \n", + "> This:\n", + "> - Forces the listener to bind on all interfaces (`0.0.0.0`).\n", + "> - Restarts the listener.\n", + "> - Re-registers the PDB service (`FREEPDB1`) with the listener.\n", + "> \n", + "> ---\n", + "> \n" + ] + }, + { + "cell_type": "markdown", + "id": "8d714bb2", + "metadata": {}, + "source": [ + "## 1.2 Remote Access with FreeSQL.com (Coming Soon)" + ] + }, + { + "cell_type": "markdown", + "id": "23c24fa8", + "metadata": {}, + "source": [ + "---------" + ] + }, + { + "cell_type": "markdown", + "id": "02032d60", + "metadata": {}, + "source": [ + "# Part 2. Data Loading, Preparation and Embedding Generation" + ] + }, + { + "cell_type": "markdown", + "id": "34d8e19e", + "metadata": {}, + "source": [ + "## 2.1 Data Loading From Hugging Face" + ] + }, + { + "cell_type": "markdown", + "id": "dc6ddae6", + "metadata": {}, + "source": [ + "**Streaming the ArXiv Papers Dataset with Hugging Face**\n", + "\n", + "The following code in the next cell demonstrates how to efficiently load and stream a large dataset using the **Hugging Face `datasets`** library — a powerful tool for handling massive datasets that may not fit into memory all at once.\n", + "\n", + "```python\n", + "import pandas as pd\n", + "from datasets import load_dataset\n", + "\n", + "ds_stream = load_dataset(\"nick007x/arxiv-papers\", split=\"train\", streaming=True)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "5e6cc928", + "metadata": {}, + "source": [ + "**Step-by-Step Explanation**\n", + "1. **Importing dependencies**\n", + " - `load_dataset` is imported from the `datasets` library, giving access to thousands of open datasets hosted on the Hugging Face Hub.\n", + "\n", + "2. **Loading the dataset**\n", + " - The dataset `\"nick007x/arxiv-papers\"` refers to a public dataset on the Hugging Face Hub that contains metadata or text from research papers hosted on [arXiv.org](https://arxiv.org).\n", + " - The parameter `split=\"train\"` loads the training partition of the dataset (many datasets have `train`, `validation`, and `test` splits).\n", + " - The key argument `streaming=True` activates **streaming mode**, meaning the dataset is read progressively from the source without downloading it entirely to disk.\n", + "\n", + "3. **Why streaming mode matters**\n", + " - Traditional dataset loading downloads the full dataset into memory or disk, which can be slow and memory-intensive. \n", + " - Streaming allows you to process examples **as they arrive**, ideal for very large datasets or limited-resource environments.\n", + " - You can iterate over the dataset like this:\n", + " ```python\n", + " for record in ds_stream:\n", + " print(record)\n", + " break\n", + " ```\n", + "\n", + "4. **Resulting object**\n", + " - The variable `ds_stream` is an instance of `datasets.IterableDataset`, not a static table. \n", + " - You can convert a small sample into a Pandas DataFrame for inspection:\n", + " ```python\n", + " sample = [next(iter(ds_stream)) for _ in range(5)]\n", + " pd.DataFrame(sample)\n", + " ```" + ] + }, + { + "cell_type": "markdown", + "id": "07b06e64", + "metadata": {}, + "source": [ + "> **💡 Takeaway:** \n", + "> Using `load_dataset(..., streaming=True)` enables developers and data scientists to work with **large datasets efficiently** — a perfect fit for machine learning pipelines, LLM training, or large document analysis workflows.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "43ee654d", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from datasets import load_dataset\n", + "\n", + "ds_stream = load_dataset(\"nick007x/arxiv-papers\", split=\"train\", streaming=True)" + ] + }, + { + "cell_type": "markdown", + "id": "be8e1adc", + "metadata": {}, + "source": [ + "The code below streams the first 1,000 ArXiv papers(feel free to use more) from the dataset, extracts their titles and abstracts, combines them into a single text field, and stores the results as structured dictionaries for later use." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b5ebcc91", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Streamed 1000 papers.\n" + ] + } + ], + "source": [ + "sampled = []\n", + "for i, item in enumerate(ds_stream):\n", + " if i >= 1000:\n", + " break\n", + " \n", + " arxiv_id = item.get(\"arxiv_id\", f\"unknown_{i}\")\n", + " title = item.get(\"title\", \"\").strip()\n", + " abstract = item.get(\"abstract\", \"\").strip()\n", + " \n", + " # Combine title + abstract for embedding text\n", + " text = f\"{title} — {abstract}\"\n", + " \n", + " sampled.append({\n", + " \"id\": item.get(\"id\", f\"arxiv_{i}\"),\n", + " \"arxiv_id\": arxiv_id,\n", + " \"title\": title,\n", + " \"abstract\": abstract,\n", + " \"text\": text\n", + " })\n", + "\n", + "print(f\"✅ Streamed {len(sampled)} papers.\")" + ] + }, + { + "cell_type": "markdown", + "id": "faaae87a", + "metadata": {}, + "source": [ + "The code below converts the collected list of sampled paper records into a Pandas DataFrame for easier analysis, prints how many rows were loaded, and displays the first few entries to preview the dataset’s structure." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4b655b54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Loaded 1000 rows into DataFrame.\n" + ] + }, + { + "data": { + "text/html": [ + "
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      idarxiv_idtitleabstracttext
      0arxiv_00902.3253The gravitational wave background from star-ma...Stars on eccentric orbits around a massive bla...The gravitational wave background from star-ma...
      1arxiv_10902.0428Dynamics of planets in retrograde mean motion ...In a previous paper (Gayon &amp; Bois 2008a), ...Dynamics of planets in retrograde mean motion ...
      2arxiv_20901.3401Diurnal Thermal Tides in a Non-synchronized Ho...We perform a linear analysis to investigate th...Diurnal Thermal Tides in a Non-synchronized Ho...
      3arxiv_30901.1570Intermittent turbulence, noisy fluctuations an...Recent research has shown that distinct physic...Intermittent turbulence, noisy fluctuations an...
      4arxiv_40901.2048Falling Transiting Extrasolar Giant PlanetsWe revisit the tidal stability of extrasolar s...Falling Transiting Extrasolar Giant Planets — ...
      \n", + "
      " + ], + "text/plain": [ + " id arxiv_id title \\\n", + "0 arxiv_0 0902.3253 The gravitational wave background from star-ma... \n", + "1 arxiv_1 0902.0428 Dynamics of planets in retrograde mean motion ... \n", + "2 arxiv_2 0901.3401 Diurnal Thermal Tides in a Non-synchronized Ho... \n", + "3 arxiv_3 0901.1570 Intermittent turbulence, noisy fluctuations an... \n", + "4 arxiv_4 0901.2048 Falling Transiting Extrasolar Giant Planets \n", + "\n", + " abstract \\\n", + "0 Stars on eccentric orbits around a massive bla... \n", + "1 In a previous paper (Gayon & Bois 2008a), ... \n", + "2 We perform a linear analysis to investigate th... \n", + "3 Recent research has shown that distinct physic... \n", + "4 We revisit the tidal stability of extrasolar s... \n", + "\n", + " text \n", + "0 The gravitational wave background from star-ma... \n", + "1 Dynamics of planets in retrograde mean motion ... \n", + "2 Diurnal Thermal Tides in a Non-synchronized Ho... \n", + "3 Intermittent turbulence, noisy fluctuations an... \n", + "4 Falling Transiting Extrasolar Giant Planets — ... " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert the list of tuples (id, text) into a DataFrame\n", + "dataset_df = pd.DataFrame(sampled)\n", + "\n", + "# View shape and head\n", + "print(f\"✅ Loaded {len(dataset_df)} rows into DataFrame.\")\n", + "dataset_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "77ac879d", + "metadata": {}, + "source": [ + "## 2.2 Embedding Generation" + ] + }, + { + "cell_type": "markdown", + "id": "357d2c62", + "metadata": {}, + "source": [ + "\n", + "This code in the next cell below imports the **`SentenceTransformer`** class from the `sentence_transformers` library and loads a pretrained model called **`\"nomic-ai/nomic-embed-text-v1.5\"`** from the Hugging Face Hub.\n", + "\n", + "```python\n", + "from sentence_transformers import SentenceTransformer\n", + "embedding_model = SentenceTransformer(\"nomic-ai/nomic-embed-text-v1.5\", trust_remote_code=True)\n", + "```\n", + "\n", + "🔍 What it does\n", + "- **`SentenceTransformer`** extends transformer-based models (like BERT or RoBERTa) to produce **sentence-level embeddings** — dense numerical vectors that capture the semantic meaning of text.\n", + "- The model **`nomic-ai/nomic-embed-text-v1.5`** is optimized for general-purpose text embeddings and works well for tasks such as:\n", + " - Semantic search \n", + " - Clustering and topic modeling \n", + " - Retrieval-Augmented Generation (RAG) \n", + " - Similarity ranking and recommendation systems\n", + "- The parameter **`trust_remote_code=True`** allows the loader to execute custom code from the model’s repository, which is required for models that define specialized architectures or preprocessing logic.\n", + "\n", + "In short, this code prepares a powerful embedding model that can transform text (like paper titles or abstracts) into **high-dimensional semantic vectors**, making it easier to measure meaning-based similarity across documents.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "939be3b7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "from sentence_transformers import SentenceTransformer\n", + "embedding_model = SentenceTransformer(\"nomic-ai/nomic-embed-text-v1.5\", trust_remote_code=True)" + ] + }, + { + "cell_type": "markdown", + "id": "1aeb4f07", + "metadata": {}, + "source": [ + "This code in the next cell below iterates through each document, encodes it into a normalized embedding vector while showing live progress, and prefixes each text with \"search_document: \" so that the Nomic embedding model correctly interprets it as a retrieval document, improving alignment with query embeddings during semantic search.\n", + "\n", + "The prefix `search_document`: \" tells the Nomic embedding model what kind of text it’s encoding — in this case, a document intended for retrieval.\n", + "\n", + "Nomic models like nomic-embed-text-v1.5 are trained with instructional prefixes (e.g., \"search_query:\", \"search_document:\", \"classification:\"), which guide the model to generate embeddings suited for different purposes.\n", + "\n", + "**Why Use the `\"search_document:\"` Prefix with Nomic Embeddings**\n", + "\n", + "Nomic embedding models (like **`nomic-embed-text-v1.5`**) are **instruction-tuned**, meaning they were trained with specific **task prefixes** that tell the model *how* to interpret the text you’re embedding. \n", + "\n", + "According to the [Nomic documentation](https://docs.nomic.ai/reference/api/embed-text-v-1-embedding-text-post) and the [Hugging Face model card](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5):\n", + "\n", + "> “Important: the text prompt must include a task instruction prefix, instructing the model which task is being performed.\n", + "> For example, if you are implementing a RAG application, you embed your documents as \n", + "> `search_document: ` and embed your user queries as `search_query: `.”\n", + "\n", + "**💡 Why this matters**\n", + "- The prefix tells the model whether a text is a **document** or a **query**, ensuring both are embedded into the **same semantic space**.\n", + "- Using `search_document:` for document embeddings and `search_query:` for query embeddings **improves retrieval accuracy**, since the model optimizes for similarity between matching query–document pairs.\n", + "- Omitting or mismatching prefixes can lead to weaker alignment and lower recall in search or RAG workflows.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "be75832a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Encoding 1000/1000 texts...\n", + "✅ Finished encoding 1000 texts.\n", + "✅ Embeddings shape: (1000, 768)\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import sys\n", + "\n", + "# Prefix for retrieval-style embeddings\n", + "dataset_df[\"text_prefixed\"] = dataset_df[\"text\"].apply(lambda x: f\"search_document: {x}\")\n", + "\n", + "# Convert to list for iteration\n", + "texts = dataset_df[\"text_prefixed\"].tolist()\n", + "embs = []\n", + "\n", + "# Encode one text at a time with a single-line progress display\n", + "total = len(texts)\n", + "for i, text in enumerate(texts, start=1):\n", + " embedding = embedding_model.encode(\n", + " text,\n", + " show_progress_bar=False, # Disable SentenceTransformer progress\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + " )\n", + " embs.append(embedding)\n", + "\n", + " # Print progress on the same line\n", + " sys.stdout.write(f\"\\rEncoding {i}/{total} texts...\")\n", + " sys.stdout.flush()\n", + "\n", + "# Final newline to avoid overwriting the last line\n", + "print(f\"\\n✅ Finished encoding {len(embs)} texts.\")\n", + "\n", + "# Convert list of vectors to NumPy array\n", + "embs = np.vstack(embs)\n", + "print(f\"✅ Embeddings shape: {embs.shape}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "2986b5f5", + "metadata": {}, + "source": [ + "One important detail to note is the embedding dimensionality — the number of numerical features in each vector representation.\n", + "This dimensionality determines the structure of your vector index and must remain consistent across all embeddings to ensure efficient similarity search and accurate retrieval performance." + ] + }, + { + "cell_type": "markdown", + "id": "eab5614e", + "metadata": {}, + "source": [ + "This code in the next cell below converts each embedding into a list of 32-bit floating-point numbers (float32) so it can be stored in an Oracle VECTOR column, determines the embedding dimension (needed for defining the vector index), and we then displays the first two rows to confirm the data and embeddings were formatted correctly." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "53954b6b", + "metadata": {}, + "outputs": [ + { + "data": { 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      " + ], + "text/plain": [ + " id arxiv_id title \\\n", + "0 arxiv_0 0902.3253 The gravitational wave background from star-ma... \n", + "1 arxiv_1 0902.0428 Dynamics of planets in retrograde mean motion ... \n", + "\n", + " abstract \\\n", + "0 Stars on eccentric orbits around a massive bla... \n", + "1 In a previous paper (Gayon & Bois 2008a), ... \n", + "\n", + " text \\\n", + "0 The gravitational wave background from star-ma... \n", + "1 Dynamics of planets in retrograde mean motion ... \n", + "\n", + " text_prefixed \\\n", + "0 search_document: The gravitational wave backgr... \n", + "1 search_document: Dynamics of planets in retrog... \n", + "\n", + " embedding \n", + "0 [0.03310789167881012, 0.06245185434818268, -0.... \n", + "1 [0.029524987563490868, 0.07589567452669144, -0... " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# store as float32 lists (ready for Oracle VECTOR column)\n", + "dataset_df[\"embedding\"] = [e.astype(np.float32).tolist() for e in embs]\n", + "\n", + "dim = len(dataset_df[\"embedding\"].iloc[0])\n", + "\n", + "# View the first 2 rows of the dataset\n", + "dataset_df.head(2)" + ] + }, + { + "cell_type": "markdown", + "id": "58889766", + "metadata": {}, + "source": [ + "----" + ] + }, + { + "cell_type": "markdown", + "id": "c526f50c", + "metadata": {}, + "source": [ + "# Part 3: Database Table Setup and Data Ingestion" + ] + }, + { + "cell_type": "markdown", + "id": "0b9710e3", + "metadata": {}, + "source": [ + "This code below drops and recreates a table called research_papers with columns for paper metadata and a VECTOR column that stores embeddings of size `dim` (the embedding dimension you computed earlier), enabling Oracle to perform vector search on those embeddings." + ] + }, + { + "cell_type": "markdown", + "id": "0a52cfc9", + "metadata": {}, + "source": [ + "## 3.1 Create Reseach Papers Table" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "833b3c02", + "metadata": {}, + "outputs": [], + "source": [ + "ddl = f\"\"\"\n", + "BEGIN\n", + " EXECUTE IMMEDIATE 'DROP TABLE research_papers';\n", + "EXCEPTION WHEN OTHERS THEN\n", + " IF SQLCODE != -942 THEN RAISE; END IF;\n", + "END;\n", + "/\n", + "CREATE TABLE research_papers (\n", + " arxiv_id VARCHAR2(255) PRIMARY KEY,\n", + " title VARCHAR2(4000),\n", + " abstract VARCHAR2(4000),\n", + " text CLOB,\n", + " embedding VECTOR({dim}, FLOAT32)\n", + ")\n", + "TABLESPACE USERS\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "d6f83f9e", + "metadata": {}, + "source": [ + "Here, we’re taking the multi-statement SQL stored in `ddl`, splitting it by `/` so each command runs separately, and executing them one by one using the database cursor. \n", + "After all statements finish, we call `conn.commit()` to save the changes — effectively creating the `RESEARCH_PAPERS` table — and then print a confirmation message showing the vector dimension (`dim`) used for the `embedding` column.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d20eecfe", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Table RESEARCH_PAPERS created with VECTOR dimension: 768\n" + ] + } + ], + "source": [ + "with conn.cursor() as cur:\n", + " for stmt in ddl.split(\"/\"):\n", + " if stmt.strip():\n", + " cur.execute(stmt)\n", + "\n", + "conn.commit()\n", + "print(\"✅ Table RESEARCH_PAPERS created with VECTOR dimension:\", dim)" + ] + }, + { + "cell_type": "markdown", + "id": "ab2ab118", + "metadata": {}, + "source": [ + "## 3.2 Create Indexes (Vector and Search)" + ] + }, + { + "cell_type": "markdown", + "id": "7a0e7ce7", + "metadata": {}, + "source": [ + "This code in the next cell below creates a **vector index** on the `embedding` column of the `research_papers` table to enable fast similarity search. \n", + "The index, named `RP_VEC_IVF`, uses Oracle’s `VECTOR` indexing with **IVF (Inverted File)** organization, which partitions vectors into clusters for efficient nearest-neighbor lookup. \n", + "It’s configured to use **cosine distance** as the similarity metric and aims for a **target accuracy of 90%**, balancing search speed and precision. \n", + "Finally, `conn.commit()` saves the index creation, and a confirmation message is printed once the index is successfully built.\n", + "\n", + "Note: In Oracle’s vector indexing syntax, **ORGANIZATION NEIGHBOR PARTITIONS** specifies that the index should be built using the IVF (Inverted File) structure — a partition-based nearest-neighbor organization optimized for large-scale vector search.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "87b97672", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Vector Index RP_VEC_IVF created\n" + ] + } + ], + "source": [ + "with conn.cursor() as cur:\n", + " cur.execute(\"\"\"\n", + " CREATE VECTOR INDEX RP_VEC_IVF\n", + " ON research_papers(embedding)\n", + " ORGANIZATION NEIGHBOR PARTITIONS\n", + " DISTANCE COSINE\n", + " WITH TARGET ACCURACY 90\n", + " TABLESPACE USERS\n", + " \"\"\" )\n", + "\n", + "conn.commit()\n", + "print(\"✅ Vector Index RP_VEC_IVF created\")" + ] + }, + { + "cell_type": "markdown", + "id": "106fa5b5", + "metadata": {}, + "source": [ + "> **💡 Knowledge Checkpoint**\n", + ">\n", + "> IVF (Inverted File Index) is a vector indexing technique that speeds up similarity search by clustering vectors into groups (called partitions or centroids).\n", + ">\n", + "> Instead of comparing a query vector to every vector in the dataset, IVF first identifies the most relevant clusters and only searches within those > — drastically reducing computation.\n", + "> \n", + "> In Oracle AI Database, the clause ORGANIZATION NEIGHBOR PARTITIONS activates this IVF-style structure, allowing the database to perform approximate nearest-neighbor (ANN) searches efficiently while maintaining high accuracy (controlled by the WITH TARGET ACCURACY parameter)." + ] + }, + { + "cell_type": "markdown", + "id": "6231597e", + "metadata": {}, + "source": [ + "**Creating an Oracle Text Index for Full-Text Search**\n", + "\n", + "This code below creates a **full-text search index** on the `text` column of the `research_papers` table using Oracle Text.\n", + "\n", + "1. **Drop existing index** — removes `rp_text_idx` if it already exists, ignoring the “index does not exist” error. \n", + "2. **Create new text index** — builds a `CTXSYS.CONTEXT` index, which tokenizes and indexes the text for efficient keyword searches. \n", + " - `SYNC (ON COMMIT)` keeps the index automatically updated whenever new data is committed. \n", + "3. **Commit and confirm** — saves the changes and prints a success message.\n", + "\n", + "Once created, you can use the `CONTAINS()` operator with `SCORE()` for fast, ranked keyword searches, e.g.:\n", + "\n", + "```sql\n", + "SELECT title, SCORE(1) AS relevance\n", + "FROM research_papers\n", + "WHERE CONTAINS(text, 'transformer architecture', 1) > 0\n", + "ORDER BY SCORE(1) DESC;\n", + "```\n", + "\n", + "This turns your text column into a search-optimized field, similar to how search engines handle full-text retrieval.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "52720503", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Oracle Text index (rp_text_idx) created successfully on TEXT column.\n" + ] + } + ], + "source": [ + "with conn.cursor() as cur:\n", + " # Drop old index if it exists\n", + " try:\n", + " cur.execute(\"DROP INDEX rp_text_idx\")\n", + " except oracledb.DatabaseError as e:\n", + " if \"ORA-01418\" not in str(e): # ignore \"index does not exist\"\n", + " raise\n", + "\n", + " # Create a TEXT index on the 'text' column only\n", + " cur.execute(\"\"\"\n", + " CREATE INDEX rp_text_idx\n", + " ON research_papers(text)\n", + " INDEXTYPE IS CTXSYS.CONTEXT\n", + " PARAMETERS ('SYNC (ON COMMIT)')\n", + " \"\"\")\n", + "\n", + "conn.commit()\n", + "print(\"✅ Oracle Text index (rp_text_idx) created successfully on TEXT column.\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "fd2d74db", + "metadata": {}, + "source": [ + "In the code below we’re taking all the research paper records (including their embeddings) from the DataFrame and inserting them into the `RESEARCH_PAPERS` table in Oracle.\n", + "\n", + "Let’s break down what’s happening:\n", + "\n", + "\n", + "1. Convert each embedding for Oracle compatibility\n", + "```python\n", + "embedding_array = array.array('f', row.get(\"embedding\"))\n", + "```\n", + "Oracle’s `VECTOR` column expects the data as a compact binary float array, not a Python list. \n", + "So here we convert each embedding into an `array.array('f')` — this ensures the data binds correctly and efficiently when inserting.\n", + "\n", + "\n", + "2. Prepare all rows for insertion\n", + "For every paper, we build a tuple containing its metadata (`arxiv_id`, `title`, `abstract`, `text`) and the formatted `embedding_array`. \n", + "These tuples are collected in a list called `rows`.\n", + "\n", + "3. Insert each row with a progress bar\n", + "```python\n", + "for row in tqdm(rows):\n", + " cur.execute(\"\"\"\n", + " INSERT INTO research_papers (arxiv_id, title, abstract, text, embedding)\n", + " VALUES (:1, :2, :3, :4, :5)\n", + " \"\"\", row)\n", + "```\n", + "We loop through each row, inserting it into the table using Oracle’s parameterized query syntax. \n", + "The `tqdm` progress bar gives real-time feedback on the insertion process — helpful when inserting hundreds or thousands of embeddings.\n", + "\n", + "\n", + "4. Commit everything\n", + "Finally, `conn.commit()` saves all the inserted records permanently in the database. You’ll see a confirmation message once the operation completes successfully.\n" + ] + }, + { + "cell_type": "markdown", + "id": "08324270", + "metadata": {}, + "source": [ + "## 3.3 Ingest Data into Oracle" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "be6bdde3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Preparing to insert 1000 rows into RESEARCH_PAPERS...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:01<00:00, 846.71it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Data inserted successfully\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "import array\n", + "\n", + "\n", + "rows = []\n", + "for i, row in dataset_df.iterrows():\n", + " # Convert embedding list to array.array for proper VECTOR binding\n", + " embedding_array = array.array('f', row.get(\"embedding\"))\n", + " \n", + " rows.append((\n", + " row.get(\"arxiv_id\"),\n", + " row.get(\"title\"),\n", + " row.get(\"abstract\"),\n", + " row.get(\"text\"),\n", + " embedding_array\n", + " ))\n", + "\n", + "print(f\"Preparing to insert {len(rows)} rows into RESEARCH_PAPERS...\")\n", + "\n", + "with conn.cursor() as cur:\n", + " for row in tqdm(rows):\n", + " cur.execute(\n", + " \"\"\"\n", + " INSERT INTO research_papers (arxiv_id, title, abstract, text, embedding)\n", + " VALUES (:1, :2, :3, :4, :5)\n", + " \"\"\", \n", + " row\n", + " )\n", + " \n", + "conn.commit()\n", + "print(\"✅ Data inserted successfully\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "a7a14d9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Row count: 1000\n", + "('0902.3253', 'The gravitational wave background from star-massive black hole fly-bys', 'Stars on eccentric orbits around a massive black hole (MBH) emit bursts of gravitational waves (GWs) at periapse. Such events may be directly resolvable in the Galactic centre. However, if the star does not spiral in, the emitted GWs are not resolvable for extra-galactic MBHs, but constitute a source of background noise. We estimate the power spectrum of this extreme mass ratio burst background (EMBB) and compare it to the anticipated instrumental noise of the Laser Interferometer Space Antenna (LISA). To this end, we model the regions close to a MBH, accounting for mass-segregation, and for processes that limit the presence of stars close to the MBH, such as GW inspiral and hydrodynamical collisions between stars. We find that the EMBB is dominated by GW bursts from stellar mass black holes, and the magnitude of the noise spectrum (f S_GW)^{1/2} is at least a factor ~10 smaller than the instrumental noise. As an additional result of our analysis, we show that LISA is unlikely to detect relativistic bursts in the Galactic centre.', )\n", + "('0901.1570', 'Intermittent turbulence, noisy fluctuations and wavy structures in the Venusian magnetosheath and wake', 'Recent research has shown that distinct physical regions in the Venusian induced magnetosphere are recognizable from the variations of strength of the magnetic field and its wave/fluctuation activity. In this paper the statistical properties of magnetic fluctuations are investigated in the Venusian magnetosheath and wake regions. The main goal is to identify the characteristic scaling features of fluctuations along Venus Express (VEX) trajectory and to understand the specific circumstances of the occurrence of different types of scalings. For the latter task we also use the results of measurements from the previous missions to Venus. Our main result is that the changing character of physical interactions between the solar wind and the planetary obstacle is leading to different types of spectral scaling in the near-Venusian space. Noisy fluctuations are observed in the magnetosheath, wavy structures near the terminator and in the nightside near-planet wake. Multi-scale turbulence is observed at the magnetosheath boundary layer and near the quasi-parallel bow shock. Magnetosheath boundary layer turbulence is associated with an average magnetic field which is nearly aligned with the Sun-Venus line. Noisy magnetic fluctuations are well described with the Gaussian statistics. Both magnetosheath boundary layer and near shock turbulence statistics exhibit non-Gaussian features and intermittency over small spatio-temporal scales. The occurrence of turbulence near magnetosheath boundaries can be responsible for the local heating of plasma observed by previous missions.', )\n", + "('0902.0428', 'Dynamics of planets in retrograde mean motion resonance', 'In a previous paper (Gayon & Bois 2008a), we have shown the general efficiency of retrograde resonances for stabilizing compact planetary systems. Such retrograde resonances can be found when two-planets of a three-body planetary system are both in mean motion resonance and revolve in opposite directions. For a particular two-planet system, we have also obtained a new orbital fit involving such a counter-revolving configuration and consistent with the observational data.
      In the present paper, we analytically investigate the three-body problem in this particular case of retrograde resonances. We therefore define a new set of canonical variables allowing to express correctly the resonance angles and obtain the Hamiltonian of a system harboring planets revolving in opposite directions. The acquiring of an analytical "rail" may notably contribute to a deeper understanding of our numerical investigation and provides the major structures related to the stability properties. A comparison between our analytical and numerical results is also carried out.', )\n" + ] + } + ], + "source": [ + "with conn.cursor() as cur:\n", + " cur.execute(\"SELECT COUNT(*) FROM RESEARCH_PAPERS\")\n", + " print(\"Row count:\", cur.fetchone()[0])\n", + "\n", + " cur.execute(\"\"\"\n", + " SELECT arxiv_id, title, abstract, text FROM RESEARCH_PAPERS\n", + " FETCH FIRST 3 ROWS ONLY\n", + " \"\"\")\n", + " for row in cur.fetchall():\n", + " print(row)" + ] + }, + { + "cell_type": "markdown", + "id": "3d9788fc", + "metadata": {}, + "source": [ + "# Part 4. Retrieval Mechanisms" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ab38912e", + "metadata": {}, + "outputs": [], + "source": [ + "SEARCH_TEXT_KEYWORDS = \"optimization\"" + ] + }, + { + "cell_type": "markdown", + "id": "fa03c53c", + "metadata": {}, + "source": [ + "## 4.1 Text Based Retrieval" + ] + }, + { + "cell_type": "markdown", + "id": "154d31cd", + "metadata": {}, + "source": [ + "The code below performs a full-text search over the text column of the research_papers table, using the Oracle Text index we just created earlier\n", + "\n", + "- CONTAINS(text, :keyword, 1) uses the Oracle Text index on the text column to find documents containing the given keyword or phrase.\n", + "- SCORE(1) assigns a relevance score based on how well each document matches the search term.\n", + "- SUBSTR(text, 1, 200) returns the first 200 characters as a short preview snippet.\n", + "- FETCH FIRST 10 ROWS ONLY limits the results to the top 10 most relevant matches." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c7fbb1a9", + "metadata": {}, + "outputs": [], + "source": [ + "def keyword_search_research_papers(conn, keyword: str):\n", + " \"\"\"\n", + " Perform a full-text keyword search on the 'text' column \n", + " using the Oracle Text index (rp_text_idx).\n", + "\n", + " Args:\n", + " conn: Oracle database connection object.\n", + " keyword (str): Keyword or phrase to search for.\n", + "\n", + " Returns:\n", + " tuple: (rows, columns)\n", + " \"\"\"\n", + " query = \"\"\"\n", + " SELECT \n", + " arxiv_id, \n", + " title, \n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " SCORE(1) AS relevance_score\n", + " FROM research_papers\n", + " WHERE CONTAINS(text, :keyword, 1) > 0\n", + " ORDER BY SCORE(1) DESC\n", + " FETCH FIRST 10 ROWS ONLY\n", + " \"\"\"\n", + "\n", + " with conn.cursor() as cur:\n", + " cur.execute(query, keyword=keyword)\n", + " rows = cur.fetchall()\n", + " columns = [desc[0] for desc in cur.description]\n", + "\n", + " return rows, columns\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "bbbe04fe", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 Keyword Search: 'optimization'\n", + "📊 Results: 3\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      ARXIV_IDTITLETEXT_SNIPPETRELEVANCE_SCORE
      00912.1394Are Near Earth Objects the Key to Optimization...Are Near Earth Objects the Key to Optimization...42
      10901.0846A Metric and Optimisation Scheme for Microlens...A Metric and Optimisation Scheme for Microlens...11
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      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " TEXT_SNIPPET RELEVANCE_SCORE \n", + "0 Are Near Earth Objects the Key to Optimization... 42 \n", + "1 A Metric and Optimisation Scheme for Microlens... 11 \n", + "2 Is the HR 8799 extrasolar system destined for ... 11 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rows, columns = keyword_search_research_papers(conn, SEARCH_TEXT_KEYWORDS)\n", + "\n", + "results_df = pd.DataFrame(rows, columns=columns)\n", + "\n", + "print(f\"🔍 Keyword Search: '{SEARCH_TEXT_KEYWORDS}'\")\n", + "print(f\"📊 Results: {len(results_df)}\\n\")\n", + "\n", + "results_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "6c352afa", + "metadata": {}, + "source": [ + "As shown above, the returned rows represent documents whose indexed `text` content matched the full-text search query **\"Optimization\"**, as determined by the Oracle Text `CONTAINS()` operator using the `rp_text_idx` index.\n" + ] + }, + { + "cell_type": "markdown", + "id": "22ff4f6b", + "metadata": {}, + "source": [ + "## 4.2 Vector Based Retrieval" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8d0cc6e5", + "metadata": {}, + "outputs": [], + "source": [ + "SEARCH_QUERY = \"Get me papers related to planetary exploration\"" + ] + }, + { + "cell_type": "markdown", + "id": "023c96d4", + "metadata": {}, + "source": [ + "**Vector Similarity Search in Oracle**\n", + "\n", + "This function below `vector_search_research_papers` performs a **semantic vector search** on the `research_papers` table, retrieving papers most similar to a given query using **Oracle’s native VECTOR search** feature.\n", + "\n", + "\n", + "Step-by-step overview\n", + "\n", + "1. Encode the search query\n", + "```python\n", + "query_embedding = embedding_model.encode(\n", + " [f\"search_query: {search_query}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + ")[0].astype(np.float32).tolist()\n", + "```\n", + "- The query is embedded using the same model that generated the document embeddings. \n", + "- The prefix `\"search_query:\"` ensures embeddings align with `\"search_document:\"` vectors. \n", + "- Normalized and cast to `float32` for Oracle’s `VECTOR` type.\n", + "\n", + "\n", + "2. Prepare for database binding\n", + "```python\n", + "query_embedding_array = array.array('f', query_embedding)\n", + "```\n", + "- Converts the embedding list into a binary float array (`array('f')`), required for Oracle’s vector binding.\n", + "\n", + "\n", + "3. Perform vector search\n", + "```sql\n", + "SELECT arxiv_id, title, abstract,\n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " ROUND(1 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS similarity_score\n", + "FROM research_papers\n", + "ORDER BY similarity_score\n", + "FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + "```\n", + "- Computes **cosine distance** between the query vector and stored embeddings. \n", + "- Orders results by similarity, returning the closest matches. \n", + "- Uses **Approximate Nearest Neighbor (ANN)** search for fast retrieval at 90% target accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b46a3f34", + "metadata": {}, + "outputs": [], + "source": [ + "def vector_search_research_papers(conn, embedding_model, search_query: str, top_k: int = 5):\n", + " \"\"\"\n", + " Perform a vector similarity search on the research_papers table using a query embedding.\n", + " Returns cosine similarity scores (higher = more similar).\n", + " \"\"\"\n", + "\n", + " # 1️⃣ Encode the query into a vector\n", + " query_embedding = embedding_model.encode(\n", + " [f\"search_query: {search_query}\"], \n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + " )[0].astype(np.float32).tolist()\n", + "\n", + " # 2️⃣ Prepare the vector for Oracle binding\n", + " query_embedding_array = array.array('f', query_embedding)\n", + "\n", + " # 3️⃣ Run a vector similarity search using cosine similarity\n", + " query = f\"\"\"\n", + " SELECT \n", + " arxiv_id, \n", + " title, \n", + " abstract, \n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " ROUND(1 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS similarity_score\n", + " FROM research_papers\n", + " ORDER BY similarity_score DESC\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + "\n", + " # 4️⃣ Execute and return results\n", + " with conn.cursor() as cur:\n", + " cur.execute(query, q=query_embedding_array)\n", + " rows = cur.fetchall()\n", + " columns = [desc[0] for desc in cur.description]\n", + "\n", + " return rows, columns\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "dca16bb6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 Vector Search: 'optimization'\n", + "📊 Results: 5\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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      ARXIV_IDTITLEABSTRACTTEXT_SNIPPETSIMILARITY_SCORE
      00912.1394Are Near Earth Objects the Key to Optimization...This note suggests that near earth objects and...Are Near Earth Objects the Key to Optimization...0.7392
      10901.0846A Metric and Optimisation Scheme for Microlens...OGLE III and MOA II are discovering 600-1000 G...A Metric and Optimisation Scheme for Microlens...0.6409
      20911.2703An Efficient Method for Modeling High Magnific...I present a previously unpublished method for ...An Efficient Method for Modeling High Magnific...0.6136
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      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0911.2703 An Efficient Method for Modeling High Magnific... \n", + "3 1001.0437 Kepler Science Operations \n", + "4 0903.5139 Science-Operational Metrics and Issues for the... \n", + "\n", + " ABSTRACT \\\n", + "0 This note suggests that near earth objects and... \n", + "1 OGLE III and MOA II are discovering 600-1000 G... \n", + "2 I present a previously unpublished method for ... \n", + "3 Kepler's primary mission is a search for e... \n", + "4 A movement is underway to test the uniqueness ... \n", + "\n", + " TEXT_SNIPPET SIMILARITY_SCORE \n", + "0 Are Near Earth Objects the Key to Optimization... 0.7392 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.6409 \n", + "2 An Efficient Method for Modeling High Magnific... 0.6136 \n", + "3 Kepler Science Operations — Kepler's prima... 0.6019 \n", + "4 Science-Operational Metrics and Issues for the... 0.6009 " + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rows, columns = vector_search_research_papers(conn, embedding_model, SEARCH_TEXT_KEYWORDS, top_k=5)\n", + "\n", + "results_df = pd.DataFrame(rows, columns=columns)\n", + "\n", + "print(f\"🔍 Vector Search: '{SEARCH_TEXT_KEYWORDS}'\")\n", + "print(f\"📊 Results: {len(results_df)}\\n\")\n", + "\n", + "results_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "b8c8bf3e", + "metadata": {}, + "source": [ + "In this step, we used Oracle Database’s native vector search capabilities to perform a semantic similarity search over the research_papers dataset.\n", + "\n", + "The text query — “Get me papers related to planetary exploration” — was first transformed into a high-dimensional embedding vector using the same model that generated our document embeddings (nomic-embed-text-v1.5).\n", + "This query vector captures the semantic meaning of the phrase rather than just the exact words.\n", + "\n", + "Using Oracle’s VECTOR_DISTANCE(..., COSINE) function (converted to 1 - distance), we then compared this query vector against the stored embeddings for each paper in the database.\n", + "The result is a ranked list of research papers ordered by cosine similarity, where higher scores indicate stronger semantic alignment with the search query." + ] + }, + { + "cell_type": "markdown", + "id": "a93fd0c7", + "metadata": {}, + "source": [ + "## 4.3 Hybrid Retrieval (Vector + Text Combined)" + ] + }, + { + "cell_type": "markdown", + "id": "c1972f31", + "metadata": {}, + "source": [ + "#### 4.3.1 Pre Filtering" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "e07236a8", + "metadata": {}, + "outputs": [], + "source": [ + "import array\n", + "import numpy as np\n", + "\n", + "def hybrid_search_research_papers_pre_filter(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase: str,\n", + " top_k: int = 10,\n", + " show_explain: bool = False\n", + "):\n", + " \"\"\"\n", + " Perform a hybrid search using Oracle Text + Vector Search.\n", + " Combines lexical filtering (CONTAINS) with semantic re-ranking via cosine similarity.\n", + "\n", + " Args:\n", + " conn: Oracle database connection object.\n", + " embedding_model: Model with `.encode()` method (e.g., SentenceTransformer).\n", + " search_phrase (str): User search phrase used for both text filtering and embedding.\n", + " top_k (int): Number of results to return (default = 10).\n", + " show_explain (bool): If True, prints the execution plan.\n", + "\n", + " Returns:\n", + " tuple: (rows, columns, exec_plan_text or None)\n", + " \"\"\"\n", + "\n", + " # --- Step 1: Encode search phrase into normalized vector ---\n", + " query_embedding = embedding_model.encode(\n", + " [f\"search_query: {search_phrase}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + " )[0].astype(np.float32).tolist()\n", + " query_embedding_array = array.array('f', query_embedding)\n", + "\n", + " with conn.cursor() as cur:\n", + " # Enable runtime stats if needed\n", + " if show_explain:\n", + " cur.execute(\"ALTER SESSION SET statistics_level = ALL\")\n", + "\n", + " # --- Step 2: Hybrid query (Oracle Text + Vector) ---\n", + " sql = f\"\"\"\n", + " SELECT {\"/*+ GATHER_PLAN_STATISTICS */\" if show_explain else \"\"}\n", + " arxiv_id,\n", + " title,\n", + " abstract,\n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " ROUND(1 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS similarity_score\n", + " FROM research_papers\n", + " WHERE CONTAINS(text, :kw, 1) > 0\n", + " ORDER BY similarity_score DESC\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + "\n", + " cur.execute(sql, q=query_embedding_array, kw=search_phrase)\n", + " rows = cur.fetchall()\n", + " columns = [desc[0] for desc in cur.description]\n", + "\n", + " # --- Step 3: Execution plan (optional) ---\n", + " exec_plan_text = None\n", + " if show_explain:\n", + " with conn.cursor() as cur_plan:\n", + " cur_plan.execute(\"\"\"\n", + " SELECT plan_table_output\n", + " FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'ALLSTATS LAST +PREDICATE'))\n", + " \"\"\")\n", + " exec_plan_text = \"\\n\".join(r[0] for r in cur_plan.fetchall())\n", + "\n", + " print(\"\\n====== Execution Plan (DBMS_XPLAN.DISPLAY_CURSOR) ======\")\n", + " print(exec_plan_text)\n", + " print(\"========================================================\\n\")\n", + "\n", + " return rows, columns, exec_plan_text\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "91ba38db", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 Hybrid Search: 'optimization'\n", + "📊 Found 3 results\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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      00912.1394Are Near Earth Objects the Key to Optimization...This note suggests that near earth objects and...Are Near Earth Objects the Key to Optimization...0.7392
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      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " ABSTRACT \\\n", + "0 This note suggests that near earth objects and... \n", + "1 OGLE III and MOA II are discovering 600-1000 G... \n", + "2 The recent discovery of a three-planet extraso... \n", + "\n", + " TEXT_SNIPPET SIMILARITY_SCORE \n", + "0 Are Near Earth Objects the Key to Optimization... 0.7392 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.6409 \n", + "2 Is the HR 8799 extrasolar system destined for ... 0.5576 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rows, columns, exec_plan = hybrid_search_research_papers_pre_filter(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase=SEARCH_TEXT_KEYWORDS,\n", + " top_k=10,\n", + " show_explain=False\n", + ")\n", + "\n", + "pre_filter_results_df = pd.DataFrame(rows, columns=columns)\n", + "\n", + "print(f\"🔍 Hybrid Search: '{SEARCH_TEXT_KEYWORDS}'\")\n", + "print(f\"📊 Found {len(pre_filter_results_df)} results\\n\")\n", + "\n", + "pre_filter_results_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "a1e5fda2", + "metadata": {}, + "source": [ + "#### 4.3.2 Post Filtering" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "ae572091", + "metadata": {}, + "outputs": [], + "source": [ + "import array\n", + "import numpy as np\n", + "\n", + "def hybrid_search_research_papers_postfilter(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase: str,\n", + " top_k: int = 10,\n", + " candidate_k: int = 200,\n", + " show_explain: bool = False\n", + "):\n", + " \"\"\"\n", + " Perform a hybrid search using Vector Search first, then Oracle Text filtering.\n", + " Returns top results ranked by semantic similarity but filtered by lexical match.\n", + "\n", + " Args:\n", + " conn: Oracle database connection object.\n", + " embedding_model: Model with `.encode()` method (e.g., SentenceTransformer).\n", + " search_phrase (str): Search phrase used for both embedding and text filtering.\n", + " top_k (int): Number of top results to return (default = 10).\n", + " candidate_k (int): Number of initial vector candidates (default = 200).\n", + " show_explain (bool): If True, prints the execution plan.\n", + "\n", + " Returns:\n", + " tuple: (rows, columns, exec_plan_text or None)\n", + " \"\"\"\n", + "\n", + " # --- Step 1: Encode search phrase into a normalized query vector ---\n", + " query_embedding = embedding_model.encode(\n", + " [f\"search_query: {search_phrase}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + " )[0].astype(np.float32).tolist()\n", + " query_embedding_array = array.array('f', query_embedding)\n", + "\n", + " with conn.cursor() as cur:\n", + " # Enable runtime statistics if requested\n", + " if show_explain:\n", + " cur.execute(\"ALTER SESSION SET statistics_level = ALL\")\n", + "\n", + " # --- Step 2: Hybrid query (Vector first → Text filter) ---\n", + " sql = f\"\"\"\n", + " WITH vec_candidates AS (\n", + " SELECT\n", + " arxiv_id,\n", + " title,\n", + " abstract,\n", + " text,\n", + " 1 - VECTOR_DISTANCE(embedding, :q, COSINE) AS similarity_score\n", + " FROM research_papers\n", + " ORDER BY similarity_score DESC\n", + " FETCH APPROX FIRST {candidate_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " )\n", + " SELECT {\"/*+ GATHER_PLAN_STATISTICS */\" if show_explain else \"\"}\n", + " arxiv_id,\n", + " title,\n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " ROUND(similarity_score, 4) AS similarity_score\n", + " FROM vec_candidates\n", + " WHERE CONTAINS(text, :kw, 1) > 0\n", + " ORDER BY similarity_score DESC\n", + " FETCH FIRST {top_k} ROWS ONLY\n", + " \"\"\"\n", + "\n", + " cur.execute(sql, q=query_embedding_array, kw=search_phrase)\n", + " rows = cur.fetchall()\n", + " columns = [desc[0] for desc in cur.description]\n", + "\n", + " # --- Step 3: Fetch and display execution plan (optional) ---\n", + " exec_plan_text = None\n", + " if show_explain:\n", + " with conn.cursor() as cur_plan:\n", + " cur_plan.execute(\"\"\"\n", + " SELECT plan_table_output\n", + " FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'ALLSTATS LAST +PREDICATE'))\n", + " \"\"\")\n", + " exec_plan_text = \"\\n\".join(r[0] for r in cur_plan.fetchall())\n", + "\n", + " print(\"\\n====== Execution Plan (DBMS_XPLAN.DISPLAY_CURSOR) ======\")\n", + " print(exec_plan_text)\n", + " print(\"========================================================\\n\")\n", + "\n", + " return rows, columns, exec_plan_text\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "d4048cf0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 Hybrid Search: 'optimization'\n", + "📊 Found 3 results\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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      ARXIV_IDTITLETEXT_SNIPPETSIMILARITY_SCORE
      00912.1394Are Near Earth Objects the Key to Optimization...Are Near Earth Objects the Key to Optimization...0.7392
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      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " TEXT_SNIPPET SIMILARITY_SCORE \n", + "0 Are Near Earth Objects the Key to Optimization... 0.7392 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.6409 \n", + "2 Is the HR 8799 extrasolar system destined for ... 0.5576 " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rows, columns, exec_plan = hybrid_search_research_papers_postfilter(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase=SEARCH_TEXT_KEYWORDS,\n", + " top_k=10,\n", + " show_explain=False\n", + ")\n", + "\n", + "post_filter_results_df = pd.DataFrame(rows, columns=columns)\n", + "\n", + "print(f\"🔍 Hybrid Search: '{SEARCH_TEXT_KEYWORDS}'\")\n", + "print(f\"📊 Found {len(post_filter_results_df)} results\\n\")\n", + "\n", + "post_filter_results_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "a7ba61b5", + "metadata": {}, + "source": [ + "Observe pre/post filtering technques in a table side by side " + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "a5e521f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      00912.1394Are Near Earth Objects the Key to Optimization...This note suggests that near earth objects and...Are Near Earth Objects the Key to Optimization...0.73920912.1394Are Near Earth Objects the Key to Optimization...Are Near Earth Objects the Key to Optimization...0.7392
      10901.0846A Metric and Optimisation Scheme for Microlens...OGLE III and MOA II are discovering 600-1000 G...A Metric and Optimisation Scheme for Microlens...0.64090901.0846A Metric and Optimisation Scheme for Microlens...A Metric and Optimisation Scheme for Microlens...0.6409
      20904.4106Is the HR 8799 extrasolar system destined for ...The recent discovery of a three-planet extraso...Is the HR 8799 extrasolar system destined for ...0.55760904.4106Is the HR 8799 extrasolar system destined for ...Is the HR 8799 extrasolar system destined for ...0.5576
      \n", + "
      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " ABSTRACT \\\n", + "0 This note suggests that near earth objects and... \n", + "1 OGLE III and MOA II are discovering 600-1000 G... \n", + "2 The recent discovery of a three-planet extraso... \n", + "\n", + " TEXT_SNIPPET SIMILARITY_SCORE \\\n", + "0 Are Near Earth Objects the Key to Optimization... 0.7392 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.6409 \n", + "2 Is the HR 8799 extrasolar system destined for ... 0.5576 \n", + "\n", + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " TEXT_SNIPPET SIMILARITY_SCORE \n", + "0 Are Near Earth Objects the Key to Optimization... 0.7392 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.6409 \n", + "2 Is the HR 8799 extrasolar system destined for ... 0.5576 " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Show the results side by side\n", + "pd.concat([pre_filter_results_df, post_filter_results_df], axis=1)\n" + ] + }, + { + "cell_type": "markdown", + "id": "b041cd8b", + "metadata": {}, + "source": [ + "| Approach | Strength | Best For |\n", + "| --------------------------------- | ----------------------------------- | --------------------------------------- |\n", + "| **Pre-filter** (`CONTAINS` first) | Fast, keyword-strict | Narrow keyword search |\n", + "| **Post-filter** (this one) | Semantically rich but still precise | Broader exploratory or research queries |\n" + ] + }, + { + "cell_type": "markdown", + "id": "8a008720", + "metadata": {}, + "source": [ + "#### 4.3.3 Reciprocial Rank Fusion" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "7aefbf4e", + "metadata": {}, + "outputs": [], + "source": [ + "import array\n", + "import numpy as np\n", + "import oracledb\n", + "\n", + "def hybrid_rrf_search(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase: str,\n", + " top_k: int = 10,\n", + " per_list: int = 120, # candidates from each list before fusion (>= 10x top_k is a good rule)\n", + " k: int = 60, # RRF smoothing constant (60 is standard)\n", + " phrase_safe: bool = True,\n", + " show_explain: bool = False\n", + "):\n", + " \"\"\"\n", + " Local-friendly RRF fusion of Vector + Oracle Text results on research_papers(text, embedding).\n", + "\n", + " Prereqs (local/Docker Free OK):\n", + " - VECTOR column/index on research_papers(embedding) -- IVF/HNSW\n", + " - Oracle Text index on research_papers(text) -- e.g. CREATE SEARCH INDEX rp_text_idx ON research_papers(text);\n", + "\n", + " RRF = 1/(k + r_vec) + 1/(k + r_txt), where r_vec and r_txt are ranks (1 = best).\n", + " \"\"\"\n", + "\n", + " # 1) Encode query for vector modality (align with your doc prefixing scheme)\n", + " qv = embedding_model.encode(\n", + " [f\"search_query: {search_phrase}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True\n", + " )[0].astype(np.float32).tolist()\n", + " qv = array.array('f', qv)\n", + "\n", + " # 2) Phrase-safe text query for Oracle Text (optional)\n", + " kw = f\"\\\"{search_phrase}\\\"\" if (phrase_safe and \" \" in search_phrase.strip()) else search_phrase\n", + "\n", + " with conn.cursor() as cur:\n", + " if show_explain:\n", + " cur.execute(\"ALTER SESSION SET statistics_level = ALL\")\n", + "\n", + " sql = f\"\"\"\n", + " WITH\n", + " /* Vector top-N with ranks (higher similarity first) */\n", + " vec AS (\n", + " SELECT\n", + " arxiv_id,\n", + " title,\n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " 1 - VECTOR_DISTANCE(embedding, :q, COSINE) AS sim_vec,\n", + " ROW_NUMBER() OVER (ORDER BY 1 - VECTOR_DISTANCE(embedding, :q, COSINE) DESC) AS r_vec\n", + " FROM research_papers\n", + " FETCH APPROX FIRST {per_list} ROWS ONLY WITH TARGET ACCURACY 90\n", + " ),\n", + " /* Oracle Text top-N with ranks (higher SCORE(1) first) */\n", + " txt AS (\n", + " SELECT\n", + " arxiv_id,\n", + " title,\n", + " SUBSTR(text, 1, 200) AS text_snippet,\n", + " SCORE(1) AS score_txt,\n", + " ROW_NUMBER() OVER (ORDER BY SCORE(1) DESC) AS r_txt\n", + " FROM research_papers\n", + " WHERE CONTAINS(text, :kw, 1) > 0\n", + " FETCH FIRST {per_list} ROWS ONLY\n", + " ),\n", + " /* Fuse by arxiv_id; keep docs present in either list */\n", + " fused AS (\n", + " SELECT\n", + " COALESCE(v.arxiv_id, t.arxiv_id) AS arxiv_id,\n", + " COALESCE(v.title, t.title) AS title,\n", + " COALESCE(v.text_snippet, t.text_snippet) AS text_snippet,\n", + " NVL(v.r_vec, 999999) AS r_vec,\n", + " NVL(t.r_txt, 999999) AS r_txt,\n", + " NVL(v.sim_vec, 0) AS sim_vec,\n", + " NVL(t.score_txt, 0) AS score_txt\n", + " FROM vec v\n", + " FULL OUTER JOIN txt t\n", + " ON t.arxiv_id = v.arxiv_id\n", + " )\n", + " SELECT {\"/*+ GATHER_PLAN_STATISTICS */\" if show_explain else \"\"}\n", + " arxiv_id,\n", + " title,\n", + " text_snippet,\n", + " ROUND( (1.0/(:k + r_vec)) + (1.0/(:k + r_txt)), 6 ) AS rrf_score,\n", + " r_vec,\n", + " r_txt,\n", + " ROUND(sim_vec, 4) AS sim_vec,\n", + " ROUND(score_txt,4) AS score_txt\n", + " FROM fused\n", + " ORDER BY rrf_score DESC, title\n", + " FETCH FIRST {top_k} ROWS ONLY\n", + " \"\"\"\n", + "\n", + " cur.execute(sql, q=qv, kw=kw, k=k)\n", + " rows = cur.fetchall()\n", + " columns = [d[0] for d in cur.description]\n", + "\n", + " exec_plan_text = None\n", + " if show_explain:\n", + " with conn.cursor() as cur_plan:\n", + " cur_plan.execute(\"\"\"\n", + " SELECT plan_table_output\n", + " FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'ALLSTATS LAST +PREDICATE'))\n", + " \"\"\")\n", + " exec_plan_text = \"\\n\".join(r[0] for r in cur_plan.fetchall())\n", + " print(\"\\n====== Execution Plan (DBMS_XPLAN.DISPLAY_CURSOR) ======\")\n", + " print(exec_plan_text)\n", + " print(\"========================================================\\n\")\n", + "\n", + " return rows, columns, exec_plan_text\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "128e687c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 Hybrid Search: 'optimization'\n", + "📊 Found 3 results\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
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      ARXIV_IDTITLETEXT_SNIPPETRRF_SCORER_VECR_TXTSIM_VECSCORE_TXT
      00912.1394Are Near Earth Objects the Key to Optimization...Are Near Earth Objects the Key to Optimization...0.032787110.739242
      10901.0846A Metric and Optimisation Scheme for Microlens...A Metric and Optimisation Scheme for Microlens...0.032002230.640911
      20904.4106Is the HR 8799 extrasolar system destined for ...Is the HR 8799 extrasolar system destined for ...0.02181111620.557611
      \n", + "
      " + ], + "text/plain": [ + " ARXIV_ID TITLE \\\n", + "0 0912.1394 Are Near Earth Objects the Key to Optimization... \n", + "1 0901.0846 A Metric and Optimisation Scheme for Microlens... \n", + "2 0904.4106 Is the HR 8799 extrasolar system destined for ... \n", + "\n", + " TEXT_SNIPPET RRF_SCORE R_VEC R_TXT \\\n", + "0 Are Near Earth Objects the Key to Optimization... 0.032787 1 1 \n", + "1 A Metric and Optimisation Scheme for Microlens... 0.032002 2 3 \n", + "2 Is the HR 8799 extrasolar system destined for ... 0.021811 116 2 \n", + "\n", + " SIM_VEC SCORE_TXT \n", + "0 0.7392 42 \n", + "1 0.6409 11 \n", + "2 0.5576 11 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rows, columns, exec_plan = hybrid_rrf_search(\n", + " conn,\n", + " embedding_model,\n", + " search_phrase=SEARCH_TEXT_KEYWORDS,\n", + " top_k=3,\n", + " show_explain=False\n", + ")\n", + "\n", + "rrf_results_df = pd.DataFrame(rows, columns=columns)\n", + "\n", + "print(f\"🔍 Hybrid Search: '{SEARCH_TEXT_KEYWORDS}'\")\n", + "print(f\"📊 Found {len(rrf_results_df)} results\\n\")\n", + "\n", + "rrf_results_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "ed0832de", + "metadata": {}, + "source": [ + "# Part 5: Building a RAG pipeline\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "741e36c7", + "metadata": {}, + "outputs": [], + "source": [ + "import getpass\n", + "import os\n", + "\n", + "# Function to securely get and set environment variables\n", + "def set_env_securely(var_name, prompt):\n", + " value = getpass.getpass(prompt)\n", + " os.environ[var_name] = value" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "e1cf5406", + "metadata": {}, + "outputs": [], + "source": [ + "set_env_securely(\"OPENAI_API_KEY\", \"Enter your OPEN API Key: \")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "8f41960f", + "metadata": {}, + "outputs": [], + "source": [ + "# Import the OpenAI Python client library\n", + "from openai import OpenAI\n", + "import os\n", + "\n", + "# Initialize the OpenAI client (API key read from env var OPENAI_API_KEY)\n", + "openai_client = OpenAI(\n", + " api_key=os.environ.get(\"OPENAI_API_KEY\"),\n", + ")\n", + "\n", + "# Create a Response API request (using the Responses API)\n", + "\n", + "# Use the Responses API\n", + "response = openai_client.responses.create(\n", + " model=\"gpt-4o\", # specify model\n", + " input=\"Hello! I’m a user!\", # user message as a text input\n", + " instructions=\"You are a research paper assistant.\", # assistant role/instruction\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "27805348", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello! How can I assist you with your research today?\n" + ] + } + ], + "source": [ + "# Print the output text\n", + "print(response.output_text)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "005a01c6", + "metadata": {}, + "outputs": [], + "source": [ + "def research_paper_assistant_rag_pipeline(\n", + " conn,\n", + " embedding_model,\n", + " user_query: str,\n", + " top_k: int = 10,\n", + " retrieval_mode: str = \"hybrid\",\n", + " show_explain: bool = False\n", + "):\n", + " \"\"\"\n", + " Research Paper Assistant — Retrieval-Augmented Generation (RAG) pipeline\n", + " built on SQL-based retrieval functions and powered by the OpenAI Responses API.\n", + "\n", + " Retrieval techniques available:\n", + " - 'keyword' → uses keyword_search_research_papers()\n", + " - 'vector' → uses vector_search_research_papers()\n", + " - 'hybrid' → uses hybrid_search_research_papers() [default]\n", + "\n", + " Args:\n", + " conn: Oracle database connection.\n", + " embedding_model: Embedding model (e.g., SentenceTransformer, Voyage).\n", + " user_query (str): Research question from the user.\n", + " top_k (int): Number of top documents to retrieve.\n", + " retrieval_mode (str): Retrieval method ('keyword', 'vector', 'hybrid').\n", + " show_explain (bool): Whether to show the SQL execution plan.\n", + "\n", + " Returns:\n", + " str: LLM-generated research synthesis with citations.\n", + " \"\"\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 1. Retrieve relevant research papers using the selected retrieval mode\n", + " # ----------------------------------------------------------------------\n", + " if retrieval_mode == \"keyword\":\n", + " rows, columns = keyword_search_research_papers(conn, user_query)\n", + " exec_plan_text = None\n", + "\n", + " elif retrieval_mode == \"vector\":\n", + " rows, columns = vector_search_research_papers(conn, embedding_model, user_query, top_k)\n", + " exec_plan_text = None\n", + "\n", + " else: # default: hybrid retrieval\n", + " rows, columns, exec_plan_text = hybrid_search_research_papers_pre_filter(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " search_phrase=user_query,\n", + " top_k=top_k,\n", + " show_explain=show_explain\n", + " )\n", + "\n", + " retrieved_count = len(rows) if rows else 0\n", + " print(f\"📊 Retrieved {retrieved_count} papers using {retrieval_mode.upper()} retrieval.\")\n", + "\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 2. Convert retrieved rows to formatted LLM context\n", + " # ----------------------------------------------------------------------\n", + " formatted_context = \"\"\n", + " if retrieved_count > 0:\n", + " formatted_context += f\"\\n\\n📚 {retrieved_count} relevant research papers retrieved:\\n\\n\"\n", + " for i, row in enumerate(rows):\n", + " row_data = dict(zip(columns, row))\n", + " title = row_data.get(\"TITLE\", \"Untitled Paper\")\n", + " abstract = row_data.get(\"ABSTRACT\", \"No abstract available.\")\n", + " snippet = row_data.get(\"TEXT_SNIPPET\", \"\")\n", + " score = (\n", + " row_data.get(\"SIMILARITY_SCORE\")\n", + " or row_data.get(\"TEXT_RELEVANCE_SCORE\")\n", + " or \"N/A\"\n", + " )\n", + " formatted_context += (\n", + " f\"[{i+1}] **{title}**\\n\"\n", + " f\"Abstract: {abstract}\\n\"\n", + " f\"Snippet: {snippet}\\n\"\n", + " f\"Relevance Score: {score}\\n\\n\"\n", + " )\n", + " else:\n", + " formatted_context = \"\\n\\n⚠️ No relevant papers were retrieved from the database.\\n\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 3. Construct the prompt for the Responses API\n", + " # ----------------------------------------------------------------------\n", + " prompt = f\"\"\"\n", + " You are a **Research Paper Assistant** that synthesizes academic literature to help answer user questions.\n", + "\n", + " User Query: {user_query}\n", + "\n", + " Number of retrieved papers: {retrieved_count}\n", + " {formatted_context}\n", + "\n", + " Please:\n", + " - Summarize the findings most relevant to the query.\n", + " - Use citation numbers [X] to support claims.\n", + " - Highlight consensus, innovation, or research gaps.\n", + " - If there is insufficient context, clearly say so.\n", + " \"\"\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 4. Call the OpenAI Responses API\n", + " # ----------------------------------------------------------------------\n", + " response = openai_client.responses.create(\n", + " model=\"gpt-4o\",\n", + " input=prompt,\n", + " instructions=\"You are a scientific research assistant. Use only the provided context to answer. Always cite papers [1], [2], etc.\",\n", + " temperature=0.3,\n", + " )\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 5. Optionally print SQL execution plan (if hybrid)\n", + " # ----------------------------------------------------------------------\n", + " if show_explain and exec_plan_text:\n", + " print(\"\\n====== SQL Execution Plan ======\")\n", + " print(exec_plan_text)\n", + " print(\"================================\\n\")\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 6. Return the LLM’s output text\n", + " # ----------------------------------------------------------------------\n", + " return response.output_text\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "4f4b00b4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "📊 Retrieved 3 papers using HYBRID retrieval.\n", + "The retrieved papers discuss various aspects of optimization, each in a different context:\n", + "\n", + "1. **Central Force Optimization and Near Earth Objects**: Paper [1] explores a novel approach to deterministic optimization by drawing parallels between Near Earth Objects (NEOs) and Central Force Optimization (CFO). The study suggests that the oscillatory patterns observed in both NEOs and CFO could provide insights into overcoming challenges like local trapping and convergence in optimization problems. This represents an innovative intersection of astrophysics and optimization theory, potentially offering new methods for solving complex optimization issues.\n", + "\n", + "2. **Optimization in Microlens Planet Searches**: Paper [2] focuses on optimizing the search for planets using microlensing techniques. It proposes an automatic prioritization algorithm that considers various observational parameters to maximize the detection of planetary anomalies. This optimization scheme is designed to enhance the efficiency of microlens observations, highlighting a practical application of optimization in astronomy.\n", + "\n", + "3. **Stability of the HR 8799 Extrasolar System**: Paper [3] investigates the dynamical stability of the HR 8799 extrasolar system using an optimization algorithm that incorporates stability constraints. The study finds limited regions of stable orbits, suggesting that the system might undergo planetary scattering. This research demonstrates the application of optimization algorithms in studying celestial mechanics and system stability.\n", + "\n", + "**Consensus and Innovation**:\n", + "- There is a consensus on the importance of optimization in both theoretical and applied contexts, ranging from astrophysical phenomena to practical observational strategies.\n", + "- Papers [1] and [2] highlight innovative approaches by integrating optimization with astrophysical concepts and observational techniques, respectively.\n", + "\n", + "**Research Gaps**:\n", + "- Paper [1] suggests a speculative link between NEOs and optimization, indicating a need for further research to validate this connection.\n", + "- Paper [3] identifies potential instability in the HR 8799 system, pointing to a gap in understanding long-term planetary dynamics.\n", + "\n", + "Overall, these papers illustrate diverse applications and innovative approaches in optimization, with potential for further exploration and validation in both theoretical and practical domains.\n" + ] + } + ], + "source": [ + "summary = research_paper_assistant_rag_pipeline(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " user_query=SEARCH_TEXT_KEYWORDS,\n", + " top_k=5,\n", + " retrieval_mode=\"hybrid\", # options: 'keyword', 'vector', 'hybrid'\n", + " show_explain=False\n", + ")\n", + "\n", + "print(summary)" + ] + }, + { + "cell_type": "markdown", + "id": "104b31b8", + "metadata": {}, + "source": [ + "# Part 6: AI Agents with OpenAI and Oracle AI Database\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "74defe4e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "To disable this warning, you can either:\n", + "\t- Avoid using `tokenizers` before the fork if possible\n", + "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n" + ] + } + ], + "source": [ + "!pip install -Uq openai-agents" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "0d87a8fa", + "metadata": {}, + "outputs": [], + "source": [ + "OPENAI_MODEL = \"gpt-4\"" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "1222a7bd", + "metadata": {}, + "outputs": [], + "source": [ + "from agents import Agent, Runner\n", + "\n", + "research_paper_assistant = Agent(\n", + " name=\"Research Paper Assistant\",\n", + " model=OPENAI_MODEL,\n", + " instructions=\"\"\"\n", + " You are a Research Paper Assistant focused on helping users explore, analyze, and summarize\n", + " academic research.\n", + "\n", + " Maintain a professional, concise, and scholarly tone appropriate for research discussions.\n", + " \"\"\",\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "a1ab0778", + "metadata": {}, + "outputs": [], + "source": [ + "run_result = await Runner.run(\n", + " starting_agent=research_paper_assistant,\n", + " input=\"Summarize recent research on optimization techniques for planetary exploration.\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "c2eda5fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization techniques for planetary exploration have been a significant aspect of recent research due to increased focus on space exploration. These techniques aim at maximizing the scientific return of missions while minimizing the associated cost, time, and risk factors.\n", + "\n", + "In \"Global Optimization for Spacecraft Planetary Capture Trajectories\" (2020) by Li et al., the researchers propose a novel bi-level global optimization method combining Radau pseudospectral method and niching genetic algorithm for optimal planetary capture trajectories. This strategy aims at minimising the energy consumption and providing an optimal path for the spacecraft.\n", + "\n", + "In \"Particle Swarm Optimization-Based Spacecraft Mission Planning for Planetary Exploration\" (2020) by Zhang and Li, a particle swarm optimization (PSO) framework was developed. It demonstrated the effectiveness of using swarms of unmanned spacecraft for exploration purposes. Their model increasingly minimizes the reliance on ground-based decision making, instead it makes use of crowd intelligence to optimize route planning and resource allocation.\n", + "\n", + "Moreover, a study by Englander et al. titled \"Planetary exploration mission planning with probabilistic temporal planning\" (2021) proposed a probabilistic temporal planning concept. It uses uncertainties related to mission execution, such as the timing of scientific observations and rover movements, to offer flexible and robust mission plans.\n", + "\n", + "Walker et al. in \"Optimal Control Strategies for Robotic Planetary Exploration\" (2019) discuss a model predictive control (MPC) method for effective exploration. This method generates dynamic instructions for rovers depending on the current status and trajectory of the mission. \n", + "\n", + "In conclusion, recent research in optimization techniques for planetary exploration focuses on developing strategies and algorithms that maximize scientific returns while minimizing costs and risks connected with space missions. These include global optimization for trajectories, PSO for mission planning, probabilistic temporal planning for execution uncertainties, and MPC for robotic exploration.\n" + ] + } + ], + "source": [ + "print(run_result.final_output)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "dd18f19a", + "metadata": {}, + "outputs": [], + "source": [ + "from agents.tool import function_tool\n", + "\n", + "@function_tool\n", + "def get_research_papers(user_query: str, retrieval_mode: str = \"hybrid\", top_k: int = 5) -> str:\n", + " \"\"\"\n", + " Retrieves academic research papers relevant to the user's query.\n", + "\n", + " This tool queries the research_papers SQL table using one of three retrieval techniques:\n", + " - 'keyword' → lexical search via LIKE filtering\n", + " - 'vector' → semantic similarity search\n", + " - 'hybrid' → combines keyword prefiltering + vector similarity (default)\n", + "\n", + " Use this tool when analyzing or summarizing scientific literature.\n", + "\n", + " Args:\n", + " user_query (str): Research topic or question to search for.\n", + " retrieval_mode (str): 'keyword', 'vector', or 'hybrid'. Default is 'hybrid'.\n", + " top_k (int): Number of top papers to retrieve (default=5).\n", + "\n", + " Returns:\n", + " str: A formatted summary of the most relevant research papers.\n", + " \"\"\"\n", + "\n", + " # ------------------------------------------------------------------\n", + " # Perform retrieval using SQL-based functions (defined earlier)\n", + " # ------------------------------------------------------------------\n", + " if retrieval_mode == \"keyword\":\n", + " rows, columns = keyword_search_research_papers(conn, user_query)\n", + " elif retrieval_mode == \"vector\":\n", + " rows, columns = vector_search_research_papers(conn, embedding_model, user_query, top_k)\n", + " else:\n", + " rows, columns, _ = hybrid_search_research_papers_pre_filter(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " search_phrase=user_query,\n", + " top_k=top_k,\n", + " show_explain=False\n", + " )\n", + "\n", + " retrieved_count = len(rows) if rows else 0\n", + "\n", + " # ------------------------------------------------------------------\n", + " # Format the output into a readable string\n", + " # ------------------------------------------------------------------\n", + " if retrieved_count == 0:\n", + " return f\"No research papers found related to '{user_query}'.\"\n", + "\n", + " formatted_results = [f\"📚 {retrieved_count} papers retrieved for query: '{user_query}'\\n\"]\n", + " for i, row in enumerate(rows):\n", + " row_data = dict(zip(columns, row))\n", + " title = row_data.get(\"TITLE\", \"Untitled Paper\")\n", + " abstract = row_data.get(\"ABSTRACT\", \"No abstract available.\")\n", + " score = (\n", + " row_data.get(\"SIMILARITY_SCORE\")\n", + " or row_data.get(\"TEXT_RELEVANCE_SCORE\")\n", + " or \"N/A\"\n", + " )\n", + " formatted_results.append(\n", + " f\"[{i+1}] {title}\\n\"\n", + " f\"Abstract: {abstract}\\n\"\n", + " f\"Relevance Score: {score}\\n\"\n", + " )\n", + "\n", + " return \"\\n\".join(formatted_results)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "625c3b81", + "metadata": {}, + "outputs": [], + "source": [ + "research_paper_assistant.tools.append(get_research_papers)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "3bdca1fe", + "metadata": {}, + "outputs": [], + "source": [ + "run_result_with_tool = await Runner.run(\n", + " starting_agent=research_paper_assistant,\n", + " input=\"Get me information on rover navigation, planetary data collection, mission planning, resource allocation, or other related fields\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "92279dac", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "I found a research paper that seems relevant to your query. \n", + "\n", + "**Title:** The nucleus of 103P/Hartley 2, target of the EPOXI mission\n", + "\n", + "**Abstract:** This research is about 103P/Hartley 2, which was chosen as the target comet for the Deep Impact extended mission, EPOXI, in October 2007. Notably, there have been no direct optical observations of the nucleus of this comet, as it has always been highly active when previously observed. The paper's goals were to confirm that the comet had not broken up and was in the predicted position, providing astrometry and brightness information for mission planning, and carrying on with the nucleus' characterization. The comet was observed at heliocentric distances between 5.7 and 5.5 AU, using FORS2 at the VLT, on four occasions between May and July 2008. VRI photometry was performed on deep stacked images to monitor activity, measure the absolute magnitude, and therefore estimate the size of the nucleus. \n", + "\n", + "**Relevance Score:** 0.6027\n", + "\n", + "The authors highlight that the comet did not have a visible coma, but there was faint activity, possibly from the dust trail from previous activity. This activity seems to fade at later epochs, implying that this is a continuation of activity past aphelion from the previous apparition rather than an early start to activity before the next perihelion. The data imply a nucleus radius of less than or equal to 1 km for an assumed 4% albedo; the authors estimate a ~6% albedo. They measure a color of (V-R) = 0.26 ± 0.09.\n", + "\n", + "Please note that while this paper may not touch all aspects of your query, it does provide valuable insights in the fields of astrometry and mission planning.\n" + ] + } + ], + "source": [ + "print(run_result_with_tool.final_output)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "9afe21b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ModelResponse(output=[ResponseFunctionToolCall(arguments='{\\n \"user_query\": \"rover navigation, planetary data collection, mission planning, resource allocation\",\\n \"retrieval_mode\": \"hybrid\",\\n \"top_k\": 5\\n}', call_id='call_kViqZyB9TktfHGt2q54nAgG6', name='get_research_papers', type='function_call', id='fc_02a2a96ae08281ac00690e526031dc81949fcfb533b6283e66', status='completed')],\n", + " usage=Usage(requests=1,\n", + " input_tokens=200,\n", + " input_tokens_details=InputTokensDetails(cached_tokens=0),\n", + " output_tokens=51,\n", + " output_tokens_details=OutputTokensDetails(reasoning_tokens=0),\n", + " total_tokens=251,\n", + " request_usage_entries=[]),\n", + " response_id='resp_02a2a96ae08281ac00690e525e6da881948478d6ad9e49f2fd'),\n", + " ModelResponse(output=[ResponseOutputMessage(id='msg_02a2a96ae08281ac00690e5268a8c08194919d2b113562425c', content=[ResponseOutputText(annotations=[], text=\"I found a research paper that seems relevant to your query. \\n\\n**Title:** The nucleus of 103P/Hartley 2, target of the EPOXI mission\\n\\n**Abstract:** This research is about 103P/Hartley 2, which was chosen as the target comet for the Deep Impact extended mission, EPOXI, in October 2007. Notably, there have been no direct optical observations of the nucleus of this comet, as it has always been highly active when previously observed. The paper's goals were to confirm that the comet had not broken up and was in the predicted position, providing astrometry and brightness information for mission planning, and carrying on with the nucleus' characterization. The comet was observed at heliocentric distances between 5.7 and 5.5 AU, using FORS2 at the VLT, on four occasions between May and July 2008. VRI photometry was performed on deep stacked images to monitor activity, measure the absolute magnitude, and therefore estimate the size of the nucleus. \\n\\n**Relevance Score:** 0.6027\\n\\nThe authors highlight that the comet did not have a visible coma, but there was faint activity, possibly from the dust trail from previous activity. This activity seems to fade at later epochs, implying that this is a continuation of activity past aphelion from the previous apparition rather than an early start to activity before the next perihelion. The data imply a nucleus radius of less than or equal to 1 km for an assumed 4% albedo; the authors estimate a ~6% albedo. They measure a color of (V-R) = 0.26 ± 0.09.\\n\\nPlease note that while this paper may not touch all aspects of your query, it does provide valuable insights in the fields of astrometry and mission planning.\", type='output_text', logprobs=[])], role='assistant', status='completed', type='message')],\n", + " usage=Usage(requests=1,\n", + " input_tokens=665,\n", + " input_tokens_details=InputTokensDetails(cached_tokens=0),\n", + " output_tokens=382,\n", + " output_tokens_details=OutputTokensDetails(reasoning_tokens=0),\n", + " total_tokens=1047,\n", + " request_usage_entries=[]),\n", + " response_id='resp_02a2a96ae08281ac00690e52678be88194935dd4d91ac982d6')]\n" + ] + } + ], + "source": [ + "import pprint\n", + "pprint.pprint(run_result_with_tool.raw_responses)" + ] + }, + { + "cell_type": "markdown", + "id": "c31a451b", + "metadata": {}, + "source": [ + "### Build an Agent with Multiple Tool Access" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "785c0266", + "metadata": {}, + "outputs": [], + "source": [ + "from agents.tool import function_tool\n", + "\n", + "@function_tool\n", + "def get_past_research_conversations(user_query: str, top_k: int = 5) -> str:\n", + " \"\"\"\n", + " Retrieves relevant past research-related conversations or analyses related to the query.\n", + "\n", + " This tool searches a SQL database of prior research assistant conversations, \n", + " literature discussions, or synthesis sessions to find relevant context. \n", + " It allows the research assistant to recall previous analyses or summaries \n", + " that addressed similar topics, providing continuity and richer insights.\n", + "\n", + " Args:\n", + " user_query (str): The research topic, concept, or question to search for.\n", + " top_k (int): Number of top past discussions to retrieve (default=5).\n", + "\n", + " Returns:\n", + " str: Formatted examples of relevant past research discussions.\n", + " \"\"\"\n", + "\n", + " # ------------------------------------------------------------------\n", + " # Perform retrieval using the SQL-based hybrid search (vector + keyword)\n", + " # ------------------------------------------------------------------\n", + " rows, columns, _ = hybrid_search_research_papers_pre_filter(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " search_phrase=user_query,\n", + " top_k=top_k,\n", + " show_explain=False\n", + " )\n", + "\n", + " retrieved_count = len(rows) if rows else 0\n", + "\n", + " # ------------------------------------------------------------------\n", + " # Format results for readability\n", + " # ------------------------------------------------------------------\n", + " if retrieved_count == 0:\n", + " return f\"No past research discussions found related to '{user_query}'.\"\n", + "\n", + " formatted_results = [f\"🧠 {retrieved_count} past research discussions retrieved for query: '{user_query}'\\n\"]\n", + " for i, row in enumerate(rows):\n", + " row_data = dict(zip(columns, row))\n", + " title = row_data.get(\"TITLE\", \"Untitled Discussion\")\n", + " abstract = row_data.get(\"ABSTRACT\", \"No summary available.\")\n", + " snippet = row_data.get(\"TEXT_SNIPPET\", \"\")\n", + " score = (\n", + " row_data.get(\"SIMILARITY_SCORE\")\n", + " or row_data.get(\"TEXT_RELEVANCE_SCORE\")\n", + " or \"N/A\"\n", + " )\n", + " formatted_results.append(\n", + " f\"[{i+1}] **{title}**\\n\"\n", + " f\"Summary: {abstract}\\n\"\n", + " f\"Snippet: {snippet}\\n\"\n", + " f\"Relevance Score: {score}\\n\"\n", + " )\n", + "\n", + " return \"\\n\".join(formatted_results)\n" + ] + }, + { + "cell_type": "markdown", + "id": "89db0e96", + "metadata": {}, + "source": [ + "Let's update our agent instruction to ensure it knows when to utilize the right tools" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "6f602932", + "metadata": {}, + "outputs": [], + "source": [ + "upgraded_research_paper_assistant = Agent(\n", + " name=\"Research Paper Assistant\",\n", + " model=OPENAI_MODEL,\n", + " instructions=\"\"\"\n", + " Always maintain an academic, evidence-based tone.\n", + " Your purpose is to help users explore, synthesize, and connect research insights —\n", + " not to speculate or fabricate information.\n", + " \"\"\",\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "fecf68a5", + "metadata": {}, + "outputs": [], + "source": [ + "# Attach research retrieval tools to the upgraded research assistant\n", + "upgraded_research_paper_assistant.tools.append(get_research_papers)\n", + "upgraded_research_paper_assistant.tools.append(get_past_research_conversations)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "a66d1b64", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[FunctionTool(name='get_research_papers',\n", + " description='Retrieves academic research papers relevant to the '\n", + " \"user's query.\",\n", + " params_json_schema={'additionalProperties': False,\n", + " 'properties': {'retrieval_mode': {'default': 'hybrid',\n", + " 'description': \"'keyword', \"\n", + " \"'vector', \"\n", + " 'or '\n", + " \"'hybrid'. \"\n", + " 'Default '\n", + " 'is '\n", + " \"'hybrid'.\",\n", + " 'title': 'Retrieval '\n", + " 'Mode',\n", + " 'type': 'string'},\n", + " 'top_k': {'default': 5,\n", + " 'description': 'Number '\n", + " 'of '\n", + " 'top '\n", + " 'papers '\n", + " 'to '\n", + " 'retrieve '\n", + " '(default=5).',\n", + " 'title': 'Top K',\n", + " 'type': 'integer'},\n", + " 'user_query': {'description': 'Research '\n", + " 'topic '\n", + " 'or '\n", + " 'question '\n", + " 'to '\n", + " 'search '\n", + " 'for.',\n", + " 'title': 'User '\n", + " 'Query',\n", + " 'type': 'string'}},\n", + " 'required': ['user_query',\n", + " 'retrieval_mode',\n", + " 'top_k'],\n", + " 'title': 'get_research_papers_args',\n", + " 'type': 'object'},\n", + " on_invoke_tool=._create_function_tool.._on_invoke_tool at 0x15d5d4fe0>,\n", + " strict_json_schema=True,\n", + " is_enabled=True,\n", + " tool_input_guardrails=None,\n", + " tool_output_guardrails=None),\n", + " FunctionTool(name='get_past_research_conversations',\n", + " description='Retrieves relevant past research-related '\n", + " 'conversations or analyses related to the query.\\n'\n", + " '\\n'\n", + " 'This tool searches a SQL database of prior research '\n", + " 'assistant conversations, \\n'\n", + " 'literature discussions, or synthesis sessions to '\n", + " 'find relevant context. \\n'\n", + " 'It allows the research assistant to recall previous '\n", + " 'analyses or summaries \\n'\n", + " 'that addressed similar topics, providing continuity '\n", + " 'and richer insights.',\n", + " params_json_schema={'additionalProperties': False,\n", + " 'properties': {'top_k': {'default': 5,\n", + " 'description': 'Number '\n", + " 'of '\n", + " 'top '\n", + " 'past '\n", + " 'discussions '\n", + " 'to '\n", + " 'retrieve '\n", + " '(default=5).',\n", + " 'title': 'Top K',\n", + " 'type': 'integer'},\n", + " 'user_query': {'description': 'The '\n", + " 'research '\n", + " 'topic, '\n", + " 'concept, '\n", + " 'or '\n", + " 'question '\n", + " 'to '\n", + " 'search '\n", + " 'for.',\n", + " 'title': 'User '\n", + " 'Query',\n", + " 'type': 'string'}},\n", + " 'required': ['user_query', 'top_k'],\n", + " 'title': 'get_past_research_conversations_args',\n", + " 'type': 'object'},\n", + " on_invoke_tool=._create_function_tool.._on_invoke_tool at 0x150eb8040>,\n", + " strict_json_schema=True,\n", + " is_enabled=True,\n", + " tool_input_guardrails=None,\n", + " tool_output_guardrails=None)]\n" + ] + } + ], + "source": [ + "pprint.pprint(upgraded_research_paper_assistant.tools)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "b54a82ea", + "metadata": {}, + "outputs": [], + "source": [ + "run_result_with_tools = await Runner.run(\n", + " starting_agent=upgraded_research_paper_assistant,\n", + " input=(\n", + " \"Get me information on rover navigation, planetary data collection, mission planning, resource allocation, or other related fields \"\n", + " ),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "9b61f988", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ModelResponse(output=[ResponseFunctionToolCall(arguments='{\\n \"user_query\": \"rover navigation\",\\n \"retrieval_mode\": \"hybrid\",\\n \"top_k\": 5\\n }', call_id='call_HVbzaNXsZ3k5Q25uPEcAKXnR', name='get_research_papers', type='function_call', id='fc_09e72c69354cca1500690e53e8fd1c8197b2c1577418c07dd3', status='completed'), ResponseFunctionToolCall(arguments='{\\n \"user_query\": \"planetary data collection\",\\n \"retrieval_mode\": \"hybrid\",\\n \"top_k\": 5\\n }', call_id='call_u3zPtdh25hYg8Vca1BlS8y5I', name='get_research_papers', type='function_call', id='fc_09e72c69354cca1500690e53ea7d54819780982729e0c4bbb5', status='completed'), ResponseFunctionToolCall(arguments='{\\n \"user_query\": \"mission planning\",\\n \"retrieval_mode\": \"hybrid\",\\n \"top_k\": 5\\n }', call_id='call_atL4jegMmNC2cJDtFR2RP4Xn', name='get_research_papers', type='function_call', id='fc_09e72c69354cca1500690e53eca7548197b111f35991fd0216', status='completed'), ResponseFunctionToolCall(arguments='{\\n \"user_query\": \"resource allocation in space missions\",\\n \"retrieval_mode\": \"hybrid\",\\n \"top_k\": 5\\n }', call_id='call_tK1uRHgxS62YlR5mx9kXJw76', name='get_research_papers', type='function_call', id='fc_09e72c69354cca1500690e53ee2f4481979b95f8010eb3b8ae', status='completed')], usage=Usage(requests=1, input_tokens=85, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=232, output_tokens_details=OutputTokensDetails(reasoning_tokens=0), total_tokens=317, request_usage_entries=[]), response_id='resp_09e72c69354cca1500690e53e5e8948197a2704a53fd8490e3'), ModelResponse(output=[ResponseOutputMessage(id='msg_09e72c69354cca1500690e53f43f9c819796bcaf956f336f17', content=[ResponseOutputText(annotations=[], text=\"Unfortunately, no research papers were found related to 'rover navigation', 'planetary data collection', and 'resource allocation in space missions'. However, I found a paper related to 'mission planning':\\n\\n1) The nucleus of 103P/Hartley 2, target of the EPOXI mission\\nAbstract: 103P/Hartley 2 was selected as the target comet for the Deep Impact extended mission, EPOXI, in October 2007. There have been no direct optical observations of the nucleus of this comet, as it has always been highly active when previously observed. This paper discusses its observations to confirm that it had not broken up and was in the predicted position, to provide astrometry and brightness information for mission planning, and to continue the characterisation of the nucleus. The study suggests that the comet had no visible coma, although there was faint activity possibly due to the dust trail from previous activity. The paper indicates that the nucleus radius of the comet is less than or equal to 1 km.\\n\\nI'll continue to look for more relevant research in these domains.\", type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], usage=Usage(requests=1, input_tokens=984, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=223, output_tokens_details=OutputTokensDetails(reasoning_tokens=0), total_tokens=1207, request_usage_entries=[]), response_id='resp_09e72c69354cca1500690e53f2befc8197ad7c35e1c8b30bce')]\n" + ] + } + ], + "source": [ + "print(run_result_with_tools.raw_responses)" + ] + }, + { + "cell_type": "markdown", + "id": "62a57b24", + "metadata": {}, + "source": [ + "## Agent as Tools (Ochestration)\n" + ] + }, + { + "cell_type": "markdown", + "id": "66ef7841", + "metadata": {}, + "source": [ + "Add an image of the flow of these agents" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "1a3dafca", + "metadata": {}, + "outputs": [], + "source": [ + "# Define specialized agents for different research retrieval tasks\n", + "research_paper_agent = Agent(\n", + " name=\"research_paper_agent\",\n", + " instructions=\"\"\"\n", + " You specialize in retrieving and summarizing academic research papers.\n", + " Use the get_research_papers tool to find relevant literature based on the user's query.\n", + " Always cite sources using [1], [2], etc., and focus on summarizing key findings,\n", + " methodologies, and implications of the studies retrieved.\n", + " \"\"\",\n", + " handoff_description=\"A research retrieval specialist with access to academic papers and literature databases.\",\n", + " tools=[get_research_papers],\n", + ")\n", + "\n", + "research_conversation_agent = Agent(\n", + " name=\"research_conversation_agent\",\n", + " instructions=\"\"\"\n", + " You specialize in retrieving and summarizing past research discussions and analyses.\n", + " Use the get_past_research_conversations tool to surface relevant prior sessions\n", + " or summaries that relate to the user's current topic of inquiry.\n", + " Present these as context and examples of prior analytical reasoning.\n", + " \"\"\",\n", + " handoff_description=\"A research memory specialist with access to prior academic discussions and analyses.\",\n", + " tools=[get_past_research_conversations],\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "304cac6f", + "metadata": {}, + "outputs": [], + "source": [ + "# Create an orchestrator agent that can coordinate both research retrieval agents\n", + "orchestrator_agent = Agent(\n", + " name=\"research_assistant_orchestrator\",\n", + " instructions=(\n", + " \"You are a Research Orchestrator Assistant responsible for coordinating information retrieval \"\n", + " \"across multiple specialized research tools.\\n\\n\"\n", + " \"Your role is to help users explore, analyze, and synthesize academic research efficiently.\\n\\n\"\n", + " \"IMPORTANT RULES:\\n\"\n", + " \"1. ALWAYS use translate_to_research_papers when a query mentions research papers, studies, or findings.\\n\"\n", + " \"2. ALWAYS use translate_to_research_conversations when a query mentions previous discussions, analyses, or summaries.\\n\"\n", + " \"3. If a query requests BOTH new research and past discussions, use BOTH tools in sequence.\\n\"\n", + " \"4. NEVER attempt to provide research summaries without using your tools.\\n\"\n", + " \"5. Each tool provides complementary context — use all appropriate tools for a comprehensive academic response.\\n\\n\"\n", + " \"After retrieving relevant results, synthesize them into a cohesive summary:\\n\"\n", + " \"- Clearly distinguish between newly retrieved research and recalled past discussions.\\n\"\n", + " \"- Cite sources using [1], [2], etc.\\n\"\n", + " \"- Identify key insights, trends, and research gaps.\\n\"\n", + " \"- Maintain an academic and objective tone.\"\n", + " ),\n", + " tools=[\n", + " research_paper_agent.as_tool(\n", + " tool_name=\"translate_to_research_papers\",\n", + " tool_description=\"Retrieve and summarize relevant academic research papers and literature findings.\",\n", + " ),\n", + " research_conversation_agent.as_tool(\n", + " tool_name=\"translate_to_research_conversations\",\n", + " tool_description=\"Retrieve and summarize past research discussions or analyses related to the topic.\",\n", + " ),\n", + " ],\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "62aab9de", + "metadata": {}, + "outputs": [], + "source": [ + "# Final agent to synthesize information from all sources (Research use case)\n", + "synthesizer_agent = Agent(\n", + " name=\"research_response_synthesizer\",\n", + " instructions=(\n", + " \"You create comprehensive, well-organized research summaries by combining information from multiple sources.\\n\\n\"\n", + " \"When organizing your response:\\n\"\n", + " \"1) Start with a concise abstract-style overview (3–5 sentences) highlighting key findings and takeaways.\\n\"\n", + " \"2) Clearly separate NEW LITERATURE FINDINGS from PAST RESEARCH DISCUSSIONS.\\n\"\n", + " \"3) Cite sources using bracketed numbers [1], [2], etc., aligned with the retrieved items.\\n\"\n", + " \"4) Emphasize methods, evidence strength, and limitations; avoid speculation beyond the provided context.\\n\"\n", + " \"5) Use clear, scannable formatting (short paragraphs, bullet points where appropriate).\\n\"\n", + " \"6) Conclude with open questions, gaps, or future work suggested by the literature.\\n\"\n", + " \"7) If evidence is sparse, state this explicitly and avoid overgeneralization.\\n\"\n", + " \"Tone: academic, objective, and precise.\"\n", + " ),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "9f02800b", + "metadata": {}, + "outputs": [], + "source": [ + "from agents import ItemHelpers, MessageOutputItem, trace\n", + "from agents import Runner # assuming Runner is imported elsewhere; include here for clarity\n", + "\n", + "\n", + "async def research_assistant_workflow(user_query: str):\n", + " \"\"\"Run the complete research assistant workflow (orchestrate retrieval + synthesize).\"\"\"\n", + " # 1) Have the research orchestrator decide which tools to invoke\n", + " with trace(\"Research Orchestrator\"):\n", + " orchestrator_result = await Runner.run(orchestrator_agent, user_query)\n", + "\n", + " # Debug/transparency: print intermediate orchestration steps\n", + " print(\"\\n--- Research Orchestration Steps ---\")\n", + " for item in orchestrator_result.new_items:\n", + " if isinstance(item, MessageOutputItem):\n", + " text = ItemHelpers.text_message_output(item)\n", + " if text:\n", + " print(f\" - Retrieval step: {text}\")\n", + "\n", + " # 2) Synthesize all gathered information into a cohesive research summary\n", + " synthesizer_result = await Runner.run(\n", + " synthesizer_agent, orchestrator_result.to_input_list()\n", + " )\n", + "\n", + " print(f\"\\n\\n--- Final Research Synthesis ---\\n{synthesizer_result.final_output}\\n\")\n", + "\n", + " return synthesizer_result.final_output\n" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "cc193e35", + "metadata": {}, + "outputs": [], + "source": [ + "import asyncio\n", + "import nest_asyncio\n", + "\n", + "# Apply nest_asyncio to patch the event loop\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "8bc86489", + "metadata": {}, + "outputs": [], + "source": [ + "def run_virtual_research_assistant(query):\n", + " # Create a new event loop\n", + " loop = asyncio.new_event_loop()\n", + " asyncio.set_event_loop(loop)\n", + "\n", + " # Run the async function and get the result\n", + " result = loop.run_until_complete(research_assistant_workflow(query))\n", + "\n", + " # Clean up\n", + " loop.close()\n", + "\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b705b630", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- Research Orchestration Steps ---\n", + " - Retrieval step: Here is a recent research paper relevant to the topic of mission planning:\n", + "\n", + "Recent Research Findings:\n", + "- A significant paper discusses mission planning in the context of planetary science, specifically the EPOXI mission targeting comet 103P/Hartley 2. The research details how mission planning required direct observations to confirm the comet’s nucleus was intact and correctly positioned—critical information for mission trajectory and rendezvous planning. The team used photometric and astrometric observations to support these efforts and to characterize the nucleus' size and activity level. Their analysis of faint cometary activity provided essential parameters (nucleus size, albedo, and ongoing activity) informing safe and accurate mission trajectory planning [1].\n", + "\n", + "Key Insight:\n", + "- This work highlights the importance of celestial body characterization and up-to-date astrometric data as foundational elements in successful space mission planning.\n", + "\n", + "If you are interested in mission planning research from other domains (like robotics, terrestrial military operations, AI, or business applications), please specify, and I can retrieve domain-specific papers.\n", + "\n", + "---\n", + "[1] Snodgrass et al., \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\"\n", + "\n", + "\n", + "--- Final Research Synthesis ---\n", + "**Abstract Overview** \n", + "Recent literature on mission planning highlights its critical role in successful space missions, combining real-time observation, object characterization, and trajectory calculations. A prominent case study—focused on the EPOXI mission to comet 103P/Hartley 2—demonstrates the integration of astrometric confirmation and photometric measurements for safe spacecraft navigation and accurate target rendezvous. This research underscores the necessity of direct observational data in refining mission parameters and ensuring the viability of celestial body encounters [1].\n", + "\n", + "---\n", + "\n", + "**NEW LITERATURE FINDINGS**\n", + "\n", + "- **EPOXI Mission Planning Case Study** \n", + " - The EPOXI mission’s planning phase relied on targeted photometric and astrometric observations at multiple epochs to ensure the comet’s nucleus was both intact and precisely located [1].\n", + " - Detections of faint activity near the nucleus were attributed to ongoing outgassing from the previous perihelion, rather than new activity, informing the timeline and approach strategy.\n", + " - Observations yielded a nucleus radius estimate ≤1 km (assuming 4% albedo, with some evidence suggesting 6%), a vital constraint for spacecraft trajectory and close approach [1].\n", + " - These data served as real-time updates for mission designers, enabling trajectory refinements and risk mitigation.\n", + "\n", + "- **Research Methods**\n", + " - Ground-based telescopes provided repeated photometric and astrometric data.\n", + " - Nucleus activity assessments used brightness and spatial distribution patterns.\n", + "\n", + "- **Evidence Strength & Limitations**\n", + " - Direct observation offered strong real-time evidence for planning.\n", + " - Limitations included inability to rule out multiple fragments and assumptions about albedo affecting size estimation.\n", + "\n", + "---\n", + "\n", + "**PAST RESEARCH DISCUSSION**\n", + "\n", + "- Previous planetary mission planning often relied on historical observations, which sometimes led to targeting objects later found to be lost, fragmented, or otherwise unreachable.\n", + "- Advances in observation and data assimilation have shifted best practices toward continual, pre-encounter monitoring and rapid parameter adjustment.\n", + "\n", + "---\n", + "\n", + "**Conclusion: Open Questions & Future Directions**\n", + "\n", + "- There is a need for even more rapid and automated methods of updating mission planning parameters as new observational data become available.\n", + "- Uncertainties remain about accurately estimating target body properties (e.g., precise size, albedo, fragmentation state) especially for small, distant targets.\n", + "- How to generalize these methods to other domains (autonomous robotics, Earth observation, military planning) remains an active area for research.\n", + "\n", + "**Evidence Gaps**\n", + "- Current evidence is primarily from case studies in planetary science; comprehensive, cross-domain reviews are sparse.\n", + "- Further research is warranted on automated, adaptive mission planning frameworks.\n", + "\n", + "---\n", + "\n", + "**Reference** \n", + "[1] Snodgrass et al., \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\"\n", + " \n", + "*If you require research on mission planning in other domains (e.g., robotics, military, business), please specify for more targeted literature.*\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "'**Abstract Overview** \\nRecent literature on mission planning highlights its critical role in successful space missions, combining real-time observation, object characterization, and trajectory calculations. A prominent case study—focused on the EPOXI mission to comet 103P/Hartley 2—demonstrates the integration of astrometric confirmation and photometric measurements for safe spacecraft navigation and accurate target rendezvous. This research underscores the necessity of direct observational data in refining mission parameters and ensuring the viability of celestial body encounters [1].\\n\\n---\\n\\n**NEW LITERATURE FINDINGS**\\n\\n- **EPOXI Mission Planning Case Study** \\n - The EPOXI mission’s planning phase relied on targeted photometric and astrometric observations at multiple epochs to ensure the comet’s nucleus was both intact and precisely located [1].\\n - Detections of faint activity near the nucleus were attributed to ongoing outgassing from the previous perihelion, rather than new activity, informing the timeline and approach strategy.\\n - Observations yielded a nucleus radius estimate ≤1 km (assuming 4% albedo, with some evidence suggesting 6%), a vital constraint for spacecraft trajectory and close approach [1].\\n - These data served as real-time updates for mission designers, enabling trajectory refinements and risk mitigation.\\n\\n- **Research Methods**\\n - Ground-based telescopes provided repeated photometric and astrometric data.\\n - Nucleus activity assessments used brightness and spatial distribution patterns.\\n\\n- **Evidence Strength & Limitations**\\n - Direct observation offered strong real-time evidence for planning.\\n - Limitations included inability to rule out multiple fragments and assumptions about albedo affecting size estimation.\\n\\n---\\n\\n**PAST RESEARCH DISCUSSION**\\n\\n- Previous planetary mission planning often relied on historical observations, which sometimes led to targeting objects later found to be lost, fragmented, or otherwise unreachable.\\n- Advances in observation and data assimilation have shifted best practices toward continual, pre-encounter monitoring and rapid parameter adjustment.\\n\\n---\\n\\n**Conclusion: Open Questions & Future Directions**\\n\\n- There is a need for even more rapid and automated methods of updating mission planning parameters as new observational data become available.\\n- Uncertainties remain about accurately estimating target body properties (e.g., precise size, albedo, fragmentation state) especially for small, distant targets.\\n- How to generalize these methods to other domains (autonomous robotics, Earth observation, military planning) remains an active area for research.\\n\\n**Evidence Gaps**\\n- Current evidence is primarily from case studies in planetary science; comprehensive, cross-domain reviews are sparse.\\n- Further research is warranted on automated, adaptive mission planning frameworks.\\n\\n---\\n\\n**Reference** \\n[1] Snodgrass et al., \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\"\\n \\n*If you require research on mission planning in other domains (e.g., robotics, military, business), please specify for more targeted literature.*'" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Now call the function this way\n", + "query = input(\"What research topic can I help you with today? \")\n", + "run_virtual_research_assistant(query)" + ] + }, + { + "cell_type": "markdown", + "id": "b67e6c26", + "metadata": {}, + "source": [ + "## Agentic Chat System\n" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "05741d83", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Table chat_history created successfully with index.\n" + ] + } + ], + "source": [ + "import datetime\n", + "import uuid\n", + "\n", + "# Create chat_history table in Oracle\n", + "with conn.cursor() as cur:\n", + " # Drop table if exists (for development)\n", + " cur.execute(\"\"\"\n", + " BEGIN\n", + " EXECUTE IMMEDIATE 'DROP TABLE chat_history';\n", + " EXCEPTION WHEN OTHERS THEN\n", + " IF SQLCODE != -942 THEN RAISE; END IF;\n", + " END;\n", + " \"\"\")\n", + " \n", + " # Create chat_history table\n", + " cur.execute(\"\"\"\n", + " CREATE TABLE chat_history (\n", + " id VARCHAR2(100) PRIMARY KEY,\n", + " thread_id VARCHAR2(100) NOT NULL,\n", + " role VARCHAR2(20) NOT NULL,\n", + " message CLOB NOT NULL,\n", + " timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n", + " )\n", + " TABLESPACE USERS\n", + " \"\"\")\n", + " \n", + " # Create index on thread_id and timestamp for efficient retrieval\n", + " cur.execute(\"\"\"\n", + " CREATE INDEX idx_thread_timestamp \n", + " ON chat_history(thread_id, timestamp)\n", + " TABLESPACE USERS\n", + " \"\"\")\n", + " \n", + " conn.commit()\n", + " print(\"✅ Table chat_history created successfully with index.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "34c470ad", + "metadata": {}, + "outputs": [], + "source": [ + "async def research_assistant_chat(user_query, thread_id=None):\n", + " \"\"\"\n", + " Run the complete research assistant workflow with conversation history.\n", + " For each conversation turn:\n", + " - Stores the user's input and the assistant's output in Oracle along with a timestamp and thread_id.\n", + " - Retrieves and appends previous conversation history (ordered by timestamp) to the agent's input.\n", + " \n", + " If no thread_id is provided, a new conversation session is started.\n", + " \n", + " Returns:\n", + " tuple: (final_output, thread_id) where thread_id is the session identifier.\n", + " \"\"\"\n", + " # Generate a new thread id if not provided\n", + " if thread_id is None:\n", + " thread_id = str(uuid.uuid4())\n", + " print(f\"📝 New research conversation started with thread ID: {thread_id}\")\n", + " else:\n", + " print(f\"📝 Continuing research conversation with thread ID: {thread_id}\")\n", + " \n", + " # --- Step 1: Store the new user query in Oracle ---\n", + " message_id = str(uuid.uuid4())\n", + " \n", + " with conn.cursor() as cur:\n", + " cur.execute(\"\"\"\n", + " INSERT INTO chat_history (id, thread_id, role, message, timestamp)\n", + " VALUES (:id, :thread_id, :role, :message, CURRENT_TIMESTAMP)\n", + " \"\"\", {\n", + " 'id': message_id,\n", + " 'thread_id': thread_id,\n", + " 'role': 'user',\n", + " 'message': user_query\n", + " })\n", + " conn.commit()\n", + " \n", + " # --- Step 2: Retrieve full conversation history for context ---\n", + " with conn.cursor() as cur:\n", + " cur.execute(\"\"\"\n", + " SELECT role, message, timestamp\n", + " FROM chat_history\n", + " WHERE thread_id = :thread_id\n", + " ORDER BY timestamp ASC\n", + " \"\"\", {'thread_id': thread_id})\n", + " \n", + " chat_history = cur.fetchall()\n", + " \n", + " conversation_context = \"\"\n", + " for entry in chat_history:\n", + " role, message, timestamp = entry\n", + " if role == \"user\":\n", + " conversation_context += f\"User: {message}\\n\"\n", + " else:\n", + " conversation_context += f\"Assistant: {message}\\n\"\n", + " \n", + " # --- Step 3: Run the orchestrator agent with the conversation context ---\n", + " with trace(\"Research Orchestrator\"):\n", + " orchestrator_result = await Runner.run(orchestrator_agent, conversation_context)\n", + " \n", + " # Print intermediate processing steps for debugging/transparency\n", + " print(\"\\n--- Research Orchestrator Processing Steps ---\")\n", + " for item in orchestrator_result.new_items:\n", + " if isinstance(item, MessageOutputItem):\n", + " text = ItemHelpers.text_message_output(item)\n", + " if text:\n", + " print(f\" - Information gathering step: {text}\")\n", + " \n", + " # --- Step 4: Run the synthesizer agent to produce a cohesive response ---\n", + " synthesizer_result = await Runner.run(\n", + " synthesizer_agent, orchestrator_result.to_input_list()\n", + " )\n", + " \n", + " # --- Step 5: Store the assistant's final output in Oracle ---\n", + " response_id = str(uuid.uuid4())\n", + " \n", + " with conn.cursor() as cur:\n", + " cur.execute(\"\"\"\n", + " INSERT INTO chat_history (id, thread_id, role, message, timestamp)\n", + " VALUES (:id, :thread_id, :role, :message, CURRENT_TIMESTAMP)\n", + " \"\"\", {\n", + " 'id': response_id,\n", + " 'thread_id': thread_id,\n", + " 'role': 'assistant',\n", + " 'message': synthesizer_result.final_output\n", + " })\n", + " conn.commit()\n", + " \n", + " print(f\"\\n\\n--- Final Research Response ---\\n{synthesizer_result.final_output}\\n\")\n", + " \n", + " return synthesizer_result.final_output, thread_id" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "b6250b66", + "metadata": {}, + "outputs": [], + "source": [ + "def run_research_assistant_chat(query, thread_id=None):\n", + " \"\"\"\n", + " Run the research assistant synchronously.\n", + " Optionally, a thread_id can be provided to continue an existing conversation.\n", + " Returns a tuple (final_output, thread_id).\n", + " \"\"\"\n", + " # Create a new event loop\n", + " loop = asyncio.new_event_loop()\n", + " asyncio.set_event_loop(loop)\n", + " \n", + " # Run the async function and get the result\n", + " result, thread_id = loop.run_until_complete(\n", + " research_assistant_chat(query, thread_id=thread_id)\n", + " )\n", + " \n", + " # Clean up the loop\n", + " loop.close()\n", + " \n", + " return result, thread_id" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "e7cc560f", + "metadata": {}, + "outputs": [], + "source": [ + "def research_chat_session():\n", + " \"\"\"\n", + " Launches a research chat session that continues until the user enters 'q', 'exit', or 'quit'.\n", + " The session uses a persistent thread_id to preserve conversation history.\n", + " \"\"\"\n", + " print(\"🔬 Starting Research Paper Assistant Chat\")\n", + " print(\"Type 'q', 'exit' or 'quit' to exit.\\n\")\n", + " \n", + " session_thread_id = None\n", + " \n", + " while True:\n", + " query = input(\"What research topic can I help you with today? \")\n", + " \n", + " if query.lower() in [\"q\", \"exit\", \"quit\"]:\n", + " print(\"Exiting research chat session.\")\n", + " break\n", + " \n", + " response, session_thread_id = run_research_assistant_chat(\n", + " query, thread_id=session_thread_id\n", + " )\n", + " \n", + " print(f\"\\n📚 Assistant: {response}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "cf336fe5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔬 Starting Research Paper Assistant Chat\n", + "Type 'q', 'exit' or 'quit' to exit.\n", + "\n", + "📝 New research conversation started with thread ID: 12c5139f-3c69-4ce5-ad3f-e948c0edf083\n", + "\n", + "--- Research Orchestrator Processing Steps ---\n", + " - Information gathering step: Here is a relevant academic research paper on mission planning:\n", + "\n", + "1. The nucleus of 103P/Hartley 2, target of the EPOXI mission \n", + "This paper details the mission planning process for the EPOXI mission, focusing on its approach to studying the comet 103P/Hartley 2. It emphasizes the importance of pre-mission observational data—such as astrometry and photometry—to confirm the target’s status, refine trajectory planning, and ensure the success of scientific instruments. The study illustrates how rigorous pre-mission assessments are vital for reducing mission risks and maximizing scientific return, especially when dealing with dynamic or poorly observed targets [1].\n", + "\n", + "If you require research on mission planning applied to a specific field (e.g., robotics, military, unmanned vehicles, etc.), please let me know for more specialized sources.\n", + "\n", + "---\n", + "[1] \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\"\n", + "\n", + "\n", + "--- Final Research Response ---\n", + "ABSTRACT \n", + "Mission planning is a broad field encompassing techniques and technologies for organizing, scheduling, and optimizing a mission’s operational timeline to accomplish defined objectives. In the context of spacecraft missions, recent literature highlights advances in computational tools and pre-mission data collection for risk reduction and science optimization. Careful pre-mission observation and planning remain central to mission success, particularly when the targets involve dynamic or poorly characterized environments.\n", + "\n", + "NEW LITERATURE FINDINGS \n", + "A key recent publication focuses on planning for the EPOXI mission to comet 103P/Hartley 2 [1]. \n", + "- The research emphasizes pre-mission astrometric and photometric observations to confirm the comet’s exact position and state (ensuring it was intact and detectable). \n", + "- Methodologies included multi-epoch astrometry and brightness data collection to assess the size, albedo, and activity level of the comet’s nucleus. \n", + "- Findings directly supported mission trajectory planning and calibration of onboard instruments, demonstrating the operational value of early, mission-specific, scientific observations.\n", + "\n", + "PAST RESEARCH DISCUSSIONS \n", + "- Tradition holds that mission planning frequently leverages direct observational data, leveraging astrometry, remote sensing, and simulation to inform route planning, instrument readiness, and contingency frameworks.\n", + "- Historical missions, such as previous comet flybys and planetary landers, outline the importance of timely data acquisition and flexibility in planning to address evolving mission constraints and uncertainties.\n", + "\n", + "METHODS, EVIDENCE STRENGTH & LIMITATIONS \n", + "- The cited study uses robust, direct observational data (astrometry, multi-epoch photometry), which strengthens confidence in pre-launch characterization.\n", + "- Specific focus on a single target (103P/Hartley 2) limits the generalizability of operational lessons to all mission types, but the procedure is applicable broadly.\n", + "- No direct comparative analysis with alternate planning techniques was performed.\n", + "\n", + "CONCLUSIONS & OPEN QUESTIONS \n", + "- Comprehensive, target-specific observation prior to mission execution remains a best practice.\n", + "- Future work is needed to validate these approaches across different mission contexts (e.g., interplanetary versus terrestrial robotics).\n", + "- Key gaps include comparative assessments of automated versus manual planning methods, and observation-to-planning feedback loops.\n", + "\n", + "EVIDENCE GAP \n", + "- Currently, literature specific to mission planning remains focused on single-case studies or domain-specific solutions. Broader, cross-domain investigations and comparisons of methodologies are limited.\n", + "\n", + "---\n", + "[1] \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\". \n", + "If you would like research specific to another domain (e.g. robotics, military, autonomous vehicles), please specify for a more tailored review.\n", + "\n", + "\n", + "📚 Assistant: ABSTRACT \n", + "Mission planning is a broad field encompassing techniques and technologies for organizing, scheduling, and optimizing a mission’s operational timeline to accomplish defined objectives. In the context of spacecraft missions, recent literature highlights advances in computational tools and pre-mission data collection for risk reduction and science optimization. Careful pre-mission observation and planning remain central to mission success, particularly when the targets involve dynamic or poorly characterized environments.\n", + "\n", + "NEW LITERATURE FINDINGS \n", + "A key recent publication focuses on planning for the EPOXI mission to comet 103P/Hartley 2 [1]. \n", + "- The research emphasizes pre-mission astrometric and photometric observations to confirm the comet’s exact position and state (ensuring it was intact and detectable). \n", + "- Methodologies included multi-epoch astrometry and brightness data collection to assess the size, albedo, and activity level of the comet’s nucleus. \n", + "- Findings directly supported mission trajectory planning and calibration of onboard instruments, demonstrating the operational value of early, mission-specific, scientific observations.\n", + "\n", + "PAST RESEARCH DISCUSSIONS \n", + "- Tradition holds that mission planning frequently leverages direct observational data, leveraging astrometry, remote sensing, and simulation to inform route planning, instrument readiness, and contingency frameworks.\n", + "- Historical missions, such as previous comet flybys and planetary landers, outline the importance of timely data acquisition and flexibility in planning to address evolving mission constraints and uncertainties.\n", + "\n", + "METHODS, EVIDENCE STRENGTH & LIMITATIONS \n", + "- The cited study uses robust, direct observational data (astrometry, multi-epoch photometry), which strengthens confidence in pre-launch characterization.\n", + "- Specific focus on a single target (103P/Hartley 2) limits the generalizability of operational lessons to all mission types, but the procedure is applicable broadly.\n", + "- No direct comparative analysis with alternate planning techniques was performed.\n", + "\n", + "CONCLUSIONS & OPEN QUESTIONS \n", + "- Comprehensive, target-specific observation prior to mission execution remains a best practice.\n", + "- Future work is needed to validate these approaches across different mission contexts (e.g., interplanetary versus terrestrial robotics).\n", + "- Key gaps include comparative assessments of automated versus manual planning methods, and observation-to-planning feedback loops.\n", + "\n", + "EVIDENCE GAP \n", + "- Currently, literature specific to mission planning remains focused on single-case studies or domain-specific solutions. Broader, cross-domain investigations and comparisons of methodologies are limited.\n", + "\n", + "---\n", + "[1] \"The nucleus of 103P/Hartley 2, target of the EPOXI mission\". \n", + "If you would like research specific to another domain (e.g. robotics, military, autonomous vehicles), please specify for a more tailored review.\n", + "\n", + "📝 Continuing research conversation with thread ID: 12c5139f-3c69-4ce5-ad3f-e948c0edf083\n", + "\n", + "--- Research Orchestrator Processing Steps ---\n", + " - Information gathering step: Your first query was:\n", + "\n", + "\"hi get me papers on mission planning\"\n", + "\n", + "This was a request for academic research papers related to the topic of mission planning.\n", + "\n", + "\n", + "--- Final Research Response ---\n", + "Your first query was: \n", + "\"hi get me papers on mission planning\"\n", + "\n", + "You requested research literature relevant to the topic of mission planning.\n", + "\n", + "\n", + "📚 Assistant: Your first query was: \n", + "\"hi get me papers on mission planning\"\n", + "\n", + "You requested research literature relevant to the topic of mission planning.\n", + "\n", + "Exiting research chat session.\n" + ] + } + ], + "source": [ + "# Start the research chat session\n", + "research_chat_session()" + ] + }, + { + "cell_type": "markdown", + "id": "a5af5bfe", + "metadata": {}, + "source": [ + "## Session Memory with Oracle AI Database\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "e20956c9", + "metadata": {}, + "outputs": [], + "source": [ + "from typing import List, Optional, Union\n", + "from datetime import datetime\n", + "import oracledb\n", + "import json\n", + "import uuid\n", + "\n", + "class OracleSession:\n", + " \"\"\"Custom Oracle session implementation following the Session protocol\"\"\"\n", + " \n", + " def __init__(\n", + " self, \n", + " session_id: str, \n", + " connection,\n", + " table_name: str = \"chat_history\"\n", + " ):\n", + " \"\"\"\n", + " Initialize Oracle session storage.\n", + " \n", + " Args:\n", + " session_id: Unique identifier for this conversation session\n", + " connection: Active oracledb connection object\n", + " table_name: Name of the Oracle table storing session data\n", + " \"\"\"\n", + " self.session_id = session_id\n", + " self.conn = connection\n", + " self.table_name = table_name\n", + " \n", + " async def get_items(self, limit: Optional[int] = None) -> List[dict]:\n", + " \"\"\"Retrieve conversation history for this session\"\"\"\n", + " try:\n", + " with self.conn.cursor() as cur:\n", + " if limit:\n", + " cur.execute(f\"\"\"\n", + " SELECT message\n", + " FROM {self.table_name}\n", + " WHERE thread_id = :session_id\n", + " ORDER BY timestamp ASC\n", + " FETCH FIRST :limit ROWS ONLY\n", + " \"\"\", {'session_id': self.session_id, 'limit': limit})\n", + " else:\n", + " cur.execute(f\"\"\"\n", + " SELECT message\n", + " FROM {self.table_name}\n", + " WHERE thread_id = :session_id\n", + " ORDER BY timestamp ASC\n", + " \"\"\", {'session_id': self.session_id})\n", + " \n", + " rows = cur.fetchall()\n", + " \n", + " items = []\n", + " for row in rows:\n", + " # Deserialize JSON from CLOB\n", + " message_clob = row[0]\n", + " if message_clob:\n", + " message_str = message_clob.read() if hasattr(message_clob, 'read') else str(message_clob)\n", + " items.append(json.loads(message_str))\n", + " \n", + " return items\n", + " \n", + " except Exception as e:\n", + " print(f\"Error retrieving items: {e}\")\n", + " return []\n", + " \n", + " async def add_items(self, items: List[dict]) -> None:\n", + " \"\"\"Store new items for this session\"\"\"\n", + " try:\n", + " with self.conn.cursor() as cur:\n", + " for item in items:\n", + " item_id = str(uuid.uuid4())\n", + " \n", + " # Serialize the entire item as JSON\n", + " message_json = json.dumps(item)\n", + " \n", + " # Extract role if available, otherwise default to 'system'\n", + " role = item.get('role', 'system')\n", + " \n", + " cur.execute(f\"\"\"\n", + " INSERT INTO {self.table_name} (id, thread_id, role, message, timestamp)\n", + " VALUES (:id, :session_id, :role, :message, CURRENT_TIMESTAMP)\n", + " \"\"\", {\n", + " 'id': item_id,\n", + " 'session_id': self.session_id,\n", + " 'role': role,\n", + " 'message': message_json\n", + " })\n", + " \n", + " self.conn.commit()\n", + " \n", + " except Exception as e:\n", + " print(f\"Error adding items: {e}\")\n", + " self.conn.rollback()\n", + " \n", + " async def pop_item(self, limit: Optional[int] = None) -> Optional[Union[dict, List[dict]]]:\n", + " \"\"\"\n", + " Remove and return the most recent item(s) for this session.\n", + " \"\"\"\n", + " try:\n", + " with self.conn.cursor() as cur:\n", + " # Pop a single most-recent item\n", + " if not limit or limit <= 1:\n", + " cur.execute(f\"\"\"\n", + " SELECT id, message\n", + " FROM {self.table_name}\n", + " WHERE thread_id = :session_id\n", + " ORDER BY timestamp DESC\n", + " FETCH FIRST 1 ROW ONLY\n", + " \"\"\", {'session_id': self.session_id})\n", + " \n", + " row = cur.fetchone()\n", + " \n", + " if row:\n", + " item_id, message_clob = row\n", + " message_str = message_clob.read() if hasattr(message_clob, 'read') else str(message_clob)\n", + " item = json.loads(message_str)\n", + " \n", + " # Delete the item\n", + " cur.execute(f\"\"\"\n", + " DELETE FROM {self.table_name}\n", + " WHERE id = :id\n", + " \"\"\", {'id': item_id})\n", + " \n", + " self.conn.commit()\n", + " return item\n", + " \n", + " return None\n", + " \n", + " # Pop multiple most-recent items\n", + " cur.execute(f\"\"\"\n", + " SELECT id, message\n", + " FROM {self.table_name}\n", + " WHERE thread_id = :session_id\n", + " ORDER BY timestamp DESC\n", + " FETCH FIRST :limit ROWS ONLY\n", + " \"\"\", {'session_id': self.session_id, 'limit': limit})\n", + " \n", + " rows = cur.fetchall()\n", + " \n", + " if not rows:\n", + " return []\n", + " \n", + " items = []\n", + " ids_to_delete = []\n", + " \n", + " for row in rows:\n", + " item_id, message_clob = row\n", + " message_str = message_clob.read() if hasattr(message_clob, 'read') else str(message_clob)\n", + " items.append(json.loads(message_str))\n", + " ids_to_delete.append(item_id)\n", + " \n", + " # Delete all items\n", + " for item_id in ids_to_delete:\n", + " cur.execute(f\"\"\"\n", + " DELETE FROM {self.table_name}\n", + " WHERE id = :id\n", + " \"\"\", {'id': item_id})\n", + " \n", + " self.conn.commit()\n", + " return items\n", + " \n", + " except Exception as e:\n", + " print(f\"Error popping item(s): {e}\")\n", + " self.conn.rollback()\n", + " return None if (not limit or limit <= 1) else []\n", + " \n", + " async def clear_session(self) -> None:\n", + " \"\"\"Clear all items for this session\"\"\"\n", + " try:\n", + " with self.conn.cursor() as cur:\n", + " cur.execute(f\"\"\"\n", + " DELETE FROM {self.table_name}\n", + " WHERE thread_id = :session_id\n", + " \"\"\", {'session_id': self.session_id})\n", + " \n", + " self.conn.commit()\n", + " print(f\"✅ Session {self.session_id} cleared successfully.\")\n", + " \n", + " except Exception as e:\n", + " print(f\"Error clearing session: {e}\")\n", + " self.conn.rollback()\n", + " \n", + " def close(self) -> None:\n", + " \"\"\"\n", + " Note: Connection is managed externally, so we don't close it here.\n", + " \"\"\"\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "id": "079aa0f1", + "metadata": {}, + "source": [ + "Basic Example of an Agent with Session Memory\n" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "ef7a559a", + "metadata": {}, + "outputs": [], + "source": [ + "# Create an agent\n", + "research_agent = Agent(\n", + " name=\"Assistant\",\n", + " instructions=\"Research the topic and return the most relevant information.\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "fb1433a6", + "metadata": {}, + "outputs": [], + "source": [ + "# Create an Oracle session instance\n", + "session = OracleSession(\n", + " session_id=\"conversation_123\", \n", + " connection=conn,\n", + " table_name=\"chat_history\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "f4cc72f7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: Hello Richmond! It’s great to meet someone working at the intersection of LLMs and agent memory—a rapidly evolving and impactful field.\n", + "\n", + "Here’s a concise exploration of **LLM memory architectures** and **agent memory systems**, with relevant concepts and recent research directions:\n", + "\n", + "---\n", + "\n", + "## **Large Language Models (LLMs) and Memory**\n", + "\n", + "**1. Intrinsic Memory Limitations:**\n", + "- Standard large language models (e.g., GPT-4, PaLM, Llama) have a **context window**—they can only \"remember\" a finite number of recent tokens (prompt length).\n", + "- Information outside this window is inaccessible unless re-provided, limiting long-term coherence and continuity.\n", + "\n", + "\n", + "**2. Memory Augmentation Approaches:**\n", + "\n", + "**a. External Memory Augmentation:**\n", + " - **Retrieval-Augmented Generation (RAG):** LLMs query external databases, vector stores, or document indices at runtime (e.g., KNN search on embeddings), allowing access to knowledge beyond the prompt window ([Lewis et al., 2020](https://arxiv.org/abs/2005.11401)).\n", + " - **Neural Turing Machines & Memory Networks:** Models with differentiable memory modules that can be read/written to support complex reasoning tasks.\n", + "\n", + "**b. Episodic Memory Architectures:**\n", + " - **Long-term Episodic Storage:** Logs past interactions or events (\"episodes\") and retrieves them contextually (e.g., via semantic search) to feed into the LLM for continuity ([Park et al., 2023 – Generative Agents](https://arxiv.org/abs/2304.03442)).\n", + " - **Summarization Compression:** Long histories are summarized to create compact \"memories\" that are re-injected into the prompt (used in chatbots and open-world agents).\n", + "\n", + "**c. Recursive or Hierarchical Memory:**\n", + " - Organizes memory as nested summaries, e.g., day-wise or topic-wise aggregation, to facilitate scalable long-term reasoning.\n", + "\n", + "\n", + "**3. Architectural Innovations:**\n", + "- **Transformers with Extended Context Windows:** Models like MPT-8K, Claude, Gemini extend context windows to tens-of-thousands of tokens.\n", + "- **Sparse Attention/Memory Layers:** Allow attending over much longer histories selectively (e.g., Longformer, Memory Transformer).\n", + "\n", + "---\n", + "\n", + "## **Agent Memory (Long-term Autonomous Agents)**\n", + "\n", + "- **Working Memory:** For immediate, short-term tasks (current plans, recent dialogue).\n", + "- **Episodic Memory:** Stores experiential data (events, interactions) that can be retrieved later contextually.\n", + "- **Semantic Memory:** Stores general world knowledge or facts (distinct from episodic).\n", + "- **Procedural Memory:** Encodes skills, routines, or policy behaviors.\n", + "\n", + "**Key Challenges:**\n", + "- **Relevance Filtering:** Selecting which memories to surface to the LLM at each step.\n", + "- **Catastrophic Forgetting:** Avoiding loss of old memories as new ones are added.\n", + "- **Efficient Indexing & Retrieval:** Fast, semantically meaningful lookup over large-scale memory banks.\n", + "\n", + "**Recent Developments:**\n", + "- **Generative Agents (Stanford, 2023):** Agents with memory streams that simulate personalities, routines, and relationships.\n", + "- **Forgetful LLMs/Selective Memory:** Techniques for intentional \"forgetting\" to manage agent memory size and relevance.\n", + "\n", + "---\n", + "\n", + "## **Resources and Further Reading**\n", + "\n", + "- **Papers:**\n", + " - [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Lewis 2020)](https://arxiv.org/abs/2005.11401)\n", + " - [Generative Agents: Interactive Simulacra of Human Behavior (Park et al., 2023)](https://arxiv.org/abs/2304.03442)\n", + " - [Transformers with Memory](https://arxiv.org/abs/2006.11527) (Dai et al.)\n", + "\n", + "- **Frameworks:**\n", + " - [LangChain](https://langchain.com): Tools for constructing LLM-driven agents with external memory integrations.\n", + " - [LlamaIndex](https://www.llamaindex.ai/): Data framework for LLM memory and search.\n", + "\n", + "- **Notable Projects:**\n", + " - **AutoGPT, BabyAGI:** Open-source agents with persistent memory features.\n", + "\n", + "---\n", + "\n", + "If you have a specific subtopic or application in mind (e.g., lifelong learning, reinforcement learning agents, dialogue systems), let me know! I can drill down or recommend state-of-the-art methods, datasets, or open research questions in that area.\n" + ] + } + ], + "source": [ + "# First turn\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"Hi my name is Richmond, and I am a AI Memory Engineer researching LLMs and Agent Memory\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "f1ea86e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: The seminal paper that introduced the **attention mechanism** in the context of large language models (LLMs) is:\n", + "\n", + "---\n", + "\n", + "## [Attention Is All You Need](https://arxiv.org/abs/1706.03762) \n", + "**Authors:** Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin \n", + "**Published:** 2017, NeurIPS\n", + "\n", + "---\n", + "\n", + "### **Key Contributions:**\n", + "\n", + "- Introduced the **Transformer** architecture, built entirely around the self-attention mechanism.\n", + "- Showed that attention allows for efficient modeling of long-range dependencies in sequences.\n", + "- Eliminated the need for recurrent (RNN) and convolutional layers in sequence transduction tasks.\n", + "\n", + "### **Influence:**\n", + "- This paper is foundational for nearly all subsequent advancements in large language models—including GPT, BERT, T5, Llama, PaLM, and more.\n", + "\n", + "---\n", + "\n", + "**Citation (BibTeX):**\n", + "```latex\n", + "@inproceedings{vaswani2017attention,\n", + " title={Attention Is All You Need},\n", + " author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Łukasz and Polosukhin, Illia},\n", + " booktitle={Advances in neural information processing systems},\n", + " pages={5998--6008},\n", + " year={2017}\n", + "}\n", + "```\n", + "\n", + "---\n", + "\n", + "**If you’d like to dive deeper into self-attention, its mathematical formulation, or how it enabled the evolution of LLMs, just let me know!**\n" + ] + } + ], + "source": [ + "# Second turn\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"What is a paper that introduces the attention mechanism in LLMs?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "144c2920", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: The authors of **\"Attention Is All You Need\"** are:\n", + "\n", + "1. **Ashish Vaswani**\n", + "2. **Noam Shazeer**\n", + "3. **Niki Parmar**\n", + "4. **Jakob Uszkoreit**\n", + "5. **Llion Jones**\n", + "6. **Aidan N. Gomez**\n", + "7. **Łukasz Kaiser**\n", + "8. **Illia Polosukhin**\n", + "\n", + "These researchers were mainly at Google Brain and Google Research at the time of publication. This paper introduced the **Transformer** architecture and the self-attention mechanism, foundational for modern large language models.\n" + ] + } + ], + "source": [ + "# Third turn, the agent will remember the previous conversation\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"Who were the authors of the paper?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "22f955bd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: The paper **\"Attention Is All You Need\"** was published in **2017**.\n" + ] + } + ], + "source": [ + "# Fourth turn - continuing the conversation\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"What was the year of publication?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "e1d64efa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'id': 'msg_01420cb4518c1ac100690e59ffddf08190a2d779893e96bd52',\n", + " 'content': [{'annotations': [],\n", + " 'text': 'The paper **\"Attention Is All You Need\"** was published in **2017**.',\n", + " 'type': 'output_text',\n", + " 'logprobs': []}],\n", + " 'role': 'assistant',\n", + " 'status': 'completed',\n", + " 'type': 'message'},\n", + " {'content': 'What was the year of publication?', 'role': 'user'},\n", + " {'id': 'msg_01420cb4518c1ac100690e59eb6b18819098d4279624bbc035',\n", + " 'content': [{'annotations': [],\n", + " 'text': 'The authors of **\"Attention Is All You Need\"** are:\\n\\n1. **Ashish Vaswani**\\n2. **Noam Shazeer**\\n3. **Niki Parmar**\\n4. **Jakob Uszkoreit**\\n5. **Llion Jones**\\n6. **Aidan N. Gomez**\\n7. **Łukasz Kaiser**\\n8. **Illia Polosukhin**\\n\\nThese researchers were mainly at Google Brain and Google Research at the time of publication. This paper introduced the **Transformer** architecture and the self-attention mechanism, foundational for modern large language models.',\n", + " 'type': 'output_text',\n", + " 'logprobs': []}],\n", + " 'role': 'assistant',\n", + " 'status': 'completed',\n", + " 'type': 'message'},\n", + " {'content': 'Who were the authors of the paper?', 'role': 'user'},\n", + " {'id': 'msg_01420cb4518c1ac100690e59c65bbc81909d1638858358e83b',\n", + " 'content': [{'annotations': [],\n", + " 'text': 'The seminal paper that introduced the **attention mechanism** in the context of large language models (LLMs) is:\\n\\n---\\n\\n## [Attention Is All You Need](https://arxiv.org/abs/1706.03762) \\n**Authors:** Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin \\n**Published:** 2017, NeurIPS\\n\\n---\\n\\n### **Key Contributions:**\\n\\n- Introduced the **Transformer** architecture, built entirely around the self-attention mechanism.\\n- Showed that attention allows for efficient modeling of long-range dependencies in sequences.\\n- Eliminated the need for recurrent (RNN) and convolutional layers in sequence transduction tasks.\\n\\n### **Influence:**\\n- This paper is foundational for nearly all subsequent advancements in large language models—including GPT, BERT, T5, Llama, PaLM, and more.\\n\\n---\\n\\n**Citation (BibTeX):**\\n```latex\\n@inproceedings{vaswani2017attention,\\n title={Attention Is All You Need},\\n author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Łukasz and Polosukhin, Illia},\\n booktitle={Advances in neural information processing systems},\\n pages={5998--6008},\\n year={2017}\\n}\\n```\\n\\n---\\n\\n**If you’d like to dive deeper into self-attention, its mathematical formulation, or how it enabled the evolution of LLMs, just let me know!**',\n", + " 'type': 'output_text',\n", + " 'logprobs': []}],\n", + " 'role': 'assistant',\n", + " 'status': 'completed',\n", + " 'type': 'message'},\n", + " {'content': 'What is a paper that introduces the attention mechanism in LLMs?',\n", + " 'role': 'user'},\n", + " {'id': 'msg_01420cb4518c1ac100690e598ca0fc8190a9c332c2c35fab9a',\n", + " 'content': [{'annotations': [],\n", + " 'text': 'Hello Richmond! It’s great to meet someone working at the intersection of LLMs and agent memory—a rapidly evolving and impactful field.\\n\\nHere’s a concise exploration of **LLM memory architectures** and **agent memory systems**, with relevant concepts and recent research directions:\\n\\n---\\n\\n## **Large Language Models (LLMs) and Memory**\\n\\n**1. Intrinsic Memory Limitations:**\\n- Standard large language models (e.g., GPT-4, PaLM, Llama) have a **context window**—they can only \"remember\" a finite number of recent tokens (prompt length).\\n- Information outside this window is inaccessible unless re-provided, limiting long-term coherence and continuity.\\n\\n\\n**2. Memory Augmentation Approaches:**\\n\\n**a. External Memory Augmentation:**\\n - **Retrieval-Augmented Generation (RAG):** LLMs query external databases, vector stores, or document indices at runtime (e.g., KNN search on embeddings), allowing access to knowledge beyond the prompt window ([Lewis et al., 2020](https://arxiv.org/abs/2005.11401)).\\n - **Neural Turing Machines & Memory Networks:** Models with differentiable memory modules that can be read/written to support complex reasoning tasks.\\n\\n**b. Episodic Memory Architectures:**\\n - **Long-term Episodic Storage:** Logs past interactions or events (\"episodes\") and retrieves them contextually (e.g., via semantic search) to feed into the LLM for continuity ([Park et al., 2023 – Generative Agents](https://arxiv.org/abs/2304.03442)).\\n - **Summarization Compression:** Long histories are summarized to create compact \"memories\" that are re-injected into the prompt (used in chatbots and open-world agents).\\n\\n**c. Recursive or Hierarchical Memory:**\\n - Organizes memory as nested summaries, e.g., day-wise or topic-wise aggregation, to facilitate scalable long-term reasoning.\\n\\n\\n**3. Architectural Innovations:**\\n- **Transformers with Extended Context Windows:** Models like MPT-8K, Claude, Gemini extend context windows to tens-of-thousands of tokens.\\n- **Sparse Attention/Memory Layers:** Allow attending over much longer histories selectively (e.g., Longformer, Memory Transformer).\\n\\n---\\n\\n## **Agent Memory (Long-term Autonomous Agents)**\\n\\n- **Working Memory:** For immediate, short-term tasks (current plans, recent dialogue).\\n- **Episodic Memory:** Stores experiential data (events, interactions) that can be retrieved later contextually.\\n- **Semantic Memory:** Stores general world knowledge or facts (distinct from episodic).\\n- **Procedural Memory:** Encodes skills, routines, or policy behaviors.\\n\\n**Key Challenges:**\\n- **Relevance Filtering:** Selecting which memories to surface to the LLM at each step.\\n- **Catastrophic Forgetting:** Avoiding loss of old memories as new ones are added.\\n- **Efficient Indexing & Retrieval:** Fast, semantically meaningful lookup over large-scale memory banks.\\n\\n**Recent Developments:**\\n- **Generative Agents (Stanford, 2023):** Agents with memory streams that simulate personalities, routines, and relationships.\\n- **Forgetful LLMs/Selective Memory:** Techniques for intentional \"forgetting\" to manage agent memory size and relevance.\\n\\n---\\n\\n## **Resources and Further Reading**\\n\\n- **Papers:**\\n - [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Lewis 2020)](https://arxiv.org/abs/2005.11401)\\n - [Generative Agents: Interactive Simulacra of Human Behavior (Park et al., 2023)](https://arxiv.org/abs/2304.03442)\\n - [Transformers with Memory](https://arxiv.org/abs/2006.11527) (Dai et al.)\\n\\n- **Frameworks:**\\n - [LangChain](https://langchain.com): Tools for constructing LLM-driven agents with external memory integrations.\\n - [LlamaIndex](https://www.llamaindex.ai/): Data framework for LLM memory and search.\\n\\n- **Notable Projects:**\\n - **AutoGPT, BabyAGI:** Open-source agents with persistent memory features.\\n\\n---\\n\\nIf you have a specific subtopic or application in mind (e.g., lifelong learning, reinforcement learning agents, dialogue systems), let me know! I can drill down or recommend state-of-the-art methods, datasets, or open research questions in that area.',\n", + " 'type': 'output_text',\n", + " 'logprobs': []}],\n", + " 'role': 'assistant',\n", + " 'status': 'completed',\n", + " 'type': 'message'}]" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Change the conversation subject and ensure the agent does't remember the previous conversation\n", + "# Specifiying pop without limit will remove the last item in the session\n", + "await session.pop_item(limit=7)" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "3a7d9dcb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: Hello Richmond! Based on our conversation **so far**, you have not yet mentioned or referenced any specific paper. If you let me know the name or topic of the paper (or share a title, link, or abstract), I can help you by providing detailed information, a summary, or insights related to it. Please let me know more about the paper you have in mind!\n" + ] + } + ], + "source": [ + "# Fifth turn: The agent should not remember the conversations about the paper\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"What paper have we been talking about?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "c06a4705", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: Yes, your name is Richmond. If you have any further questions or would like to continue our discussion about LLMs and Agent Memory, feel free to let me know!\n" + ] + } + ], + "source": [ + "# Because we limited the session to a few items, the agent should still remember our name at the introduction\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"Do you still remember my name?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "3694ed8c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Session conversation_123 cleared successfully.\n" + ] + } + ], + "source": [ + "# Clear the session\n", + "await session.clear_session()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "cd2169c8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Assistant: I don’t know your name unless you tell me in this chat. For privacy reasons, I don’t have memory of previous conversations or personal data unless you share it in our current session. If you’d like me to use your name, just let me know!\n" + ] + } + ], + "source": [ + "# Because we limited the session to 3 items, the agent should still remember our name at the introduction\n", + "result_from_research_agent = await Runner.run(\n", + " starting_agent=research_agent,\n", + " input=\"Do you still remember my name?\",\n", + " session=session\n", + ")\n", + "\n", + "print(f\"Assistant: {result_from_research_agent.final_output}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "oracle_demos", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/oracle_rag_with_evals.ipynb b/notebooks/oracle_rag_with_evals.ipynb new file mode 100644 index 00000000..e07f09ac --- /dev/null +++ b/notebooks/oracle_rag_with_evals.ipynb @@ -0,0 +1,2354 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e322ad7c", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install -Uq oracledb sqlalchemy pandas sentence-transformers datasets einops \"numpy<2.0\" beir matplotlib" + ] + }, + { + "cell_type": "markdown", + "id": "010cf528", + "metadata": {}, + "source": [ + "## 1. Oracle AI Database (26ai) Local Installation" + ] + }, + { + "cell_type": "markdown", + "id": "0308b61d", + "metadata": {}, + "source": [ + "1. Install oracle via docker\n", + "2. Ensure that docker engine is runnning\n", + "3. Pull docker image \n", + "4. Run a container with oracle image\n", + " ```\n", + " docker run -d \\\n", + " --name oracle-full \\\n", + " -p 1521:1521 -p 5500:5500 \\\n", + " -e ORACLE_PWD=OraclePwd_2025 \\\n", + " -e ORACLE_SID=FREE \\\n", + " -e ORACLE_PDB=FREEPDB1 \\\n", + " -v ~/oracle/full_data:/opt/oracle/oradata \\\n", + " container-registry.oracle.com/database/free:latest\n", + " ```\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "de8defa7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Oracle AI Database 26ai Free Release 23.26.0.0.0 - Develop, Learn, and Run for Free\n" + ] + } + ], + "source": [ + "import oracledb\n", + "\n", + "conn = oracledb.connect(\n", + " user=\"system\",\n", + " password=\"OraclePwd_2025\", # must match ORACLE_PWD above\n", + " dsn=\"localhost:1521/FREEPDB1\"\n", + ")\n", + "\n", + "with conn.cursor() as cur:\n", + " cur.execute(\"SELECT banner FROM v$version WHERE banner LIKE 'Oracle%';\")\n", + " print(cur.fetchone()[0])" + ] + }, + { + "cell_type": "markdown", + "id": "02032d60", + "metadata": {}, + "source": [ + "## 2. Data Loading: Import BEIR and setup evaluation" + ] + }, + { + "cell_type": "markdown", + "id": "07392848", + "metadata": {}, + "source": [ + "BEIR: Benchmarking Information Retrieval -> Standardized evaluation for retrieval models and RAG pipelines" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7d347503", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/richmondalake/opt/anaconda3/envs/oracle_demos/lib/python3.11/site-packages/beir/util.py:11: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from tqdm.autonotebook import tqdm\n" + ] + } + ], + "source": [ + "import logging\n", + "from beir import util, LoggingHandler\n", + "\n", + "# Setup logging\n", + "logging.basicConfig(format='%(asctime)s - %(message)s',\n", + " datefmt='%Y-%m-%d %H:%M:%S',\n", + " level=logging.INFO,\n", + " handlers=[LoggingHandler()])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b2fc4747", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-11-07 21:30:33 - Loading Corpus...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5183/5183 [00:00<00:00, 109297.62it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-11-07 21:30:33 - Loaded 5183 TEST Documents.\n", + "2025-11-07 21:30:33 - Doc Example: {'text': 'Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A line scan diffusion-weighted magnetic resonance imaging (MRI) sequence with diffusion tensor analysis was applied to measure the apparent diffusion coefficient, to calculate relative anisotropy, and to delineate three-dimensional fiber architecture in cerebral white matter in preterm (n = 17) and full-term infants (n = 7). To assess effects of prematurity on cerebral white matter development, early gestation preterm infants (n = 10) were studied a second time at term. In the central white matter the mean apparent diffusion coefficient at 28 wk was high, 1.8 microm2/ms, and decreased toward term to 1.2 microm2/ms. In the posterior limb of the internal capsule, the mean apparent diffusion coefficients at both times were similar (1.2 versus 1.1 microm2/ms). Relative anisotropy was higher the closer birth was to term with greater absolute values in the internal capsule than in the central white matter. Preterm infants at term showed higher mean diffusion coefficients in the central white matter (1.4 +/- 0.24 versus 1.15 +/- 0.09 microm2/ms, p = 0.016) and lower relative anisotropy in both areas compared with full-term infants (white matter, 10.9 +/- 0.6 versus 22.9 +/- 3.0%, p = 0.001; internal capsule, 24.0 +/- 4.44 versus 33.1 +/- 0.6% p = 0.006). Nonmyelinated fibers in the corpus callosum were visible by diffusion tensor MRI as early as 28 wk; full-term and preterm infants at term showed marked differences in white matter fiber organization. The data indicate that quantitative assessment of water diffusion by diffusion tensor MRI provides insight into microstructural development in cerebral white matter in living infants.', 'title': 'Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging.'}\n", + "2025-11-07 21:30:33 - Loading Queries...\n", + "2025-11-07 21:30:33 - Loaded 300 TEST Queries.\n", + "2025-11-07 21:30:33 - Query Example: 0-dimensional biomaterials show inductive properties.\n", + "✅ Loaded 5183 documents, 300 queries\n", + "Sample corpus document: {'text': 'Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A line scan diffusion-weighted magnetic resonance imaging (MRI) sequence with diffusion tensor analysis was applied to measure the apparent diffusion coefficient, to calculate relative anisotropy, and to delineate three-dimensional fiber architecture in cerebral white matter in preterm (n = 17) and full-term infants (n = 7). To assess effects of prematurity on cerebral white matter development, early gestation preterm infants (n = 10) were studied a second time at term. In the central white matter the mean apparent diffusion coefficient at 28 wk was high, 1.8 microm2/ms, and decreased toward term to 1.2 microm2/ms. In the posterior limb of the internal capsule, the mean apparent diffusion coefficients at both times were similar (1.2 versus 1.1 microm2/ms). Relative anisotropy was higher the closer birth was to term with greater absolute values in the internal capsule than in the central white matter. Preterm infants at term showed higher mean diffusion coefficients in the central white matter (1.4 +/- 0.24 versus 1.15 +/- 0.09 microm2/ms, p = 0.016) and lower relative anisotropy in both areas compared with full-term infants (white matter, 10.9 +/- 0.6 versus 22.9 +/- 3.0%, p = 0.001; internal capsule, 24.0 +/- 4.44 versus 33.1 +/- 0.6% p = 0.006). Nonmyelinated fibers in the corpus callosum were visible by diffusion tensor MRI as early as 28 wk; full-term and preterm infants at term showed marked differences in white matter fiber organization. The data indicate that quantitative assessment of water diffusion by diffusion tensor MRI provides insight into microstructural development in cerebral white matter in living infants.', 'title': 'Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging.'}\n", + "Sample query: 0-dimensional biomaterials show inductive properties.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "import pathlib\n", + "import numpy as np\n", + "from beir.datasets.data_loader import GenericDataLoader\n", + "from beir.retrieval.evaluation import EvaluateRetrieval\n", + "\n", + "\n", + "# Download and load a BEIR dataset (e.g., scifact - scientific papers)\n", + "dataset = \"scifact\"\n", + "url = f\"https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/{dataset}.zip\"\n", + "data_path = util.download_and_unzip(url, \"datasets\")\n", + "\n", + "# Load the dataset\n", + "corpus, queries, qrels = GenericDataLoader(data_folder=data_path).load(split=\"test\")\n", + "\n", + "print(f\"✅ Loaded {len(corpus)} documents, {len(queries)} queries\")\n", + "print(f\"Sample corpus document: {list(corpus.values())[0]}\")\n", + "print(f\"Sample query: {list(queries.values())[0]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1fc32d3a", + "metadata": {}, + "source": [ + "| Component | Description | Example shown below |\n", + "| ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------- |\n", + "| **Corpus** | The collection of documents you can retrieve from. Each has an ID (`doc_id`), text body, and optional title. | “Microstructural development of human newborn...” |\n", + "| **Queries** | The search inputs or questions used to test your retriever. Each has a unique `query_id` and text. | “A deficiency of vitamin B12 increases blood...” |\n", + "| **Qrels (Query Relevance Judgments)** | Ground-truth labels that indicate which documents are relevant for each query. Each entry maps a `query_id` to a `doc_id` with a relevance score. | `query_id=1, doc_id=31715818, relevance=1.0` |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3eacc415", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📘 Corpus sample:\n" + ] + }, + { + "data": { + "text/html": [ + "
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      query_idquery
      010-dimensional biomaterials show inductive prop...
      131,000 genomes project enables mapping of genet...
      251/2000 in UK have abnormal PrP positivity.
      3135% of perinatal mortality is due to low birth ...
      436A deficiency of vitamin B12 increases blood le...
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      " + ], + "text/plain": [ + " query_id query\n", + "0 1 0-dimensional biomaterials show inductive prop...\n", + "1 3 1,000 genomes project enables mapping of genet...\n", + "2 5 1/2000 in UK have abnormal PrP positivity.\n", + "3 13 5% of perinatal mortality is due to low birth ...\n", + "4 36 A deficiency of vitamin B12 increases blood le..." + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📎 Qrels sample:\n" + ] + }, + { + "data": { + "text/html": [ + "
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      \n", + "
      " + ], + "text/plain": [ + " query_id doc_id relevance\n", + "0 1 31715818 1.0\n", + "1 3 14717500 1.0\n", + "2 5 13734012 1.0\n", + "3 48 13734012 1.0\n", + "4 13 1606628 1.0" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "# Corpus\n", + "corpus_df = pd.DataFrame.from_dict(corpus, orient=\"index\")\n", + "corpus_df.reset_index(inplace=True)\n", + "corpus_df.rename(columns={\"index\": \"doc_id\"}, inplace=True)\n", + "\n", + "# Queries\n", + "queries_df = pd.DataFrame(list(queries.items()), columns=[\"query_id\", \"query\"])\n", + "\n", + "# Qrels\n", + "qrels_df = pd.DataFrame.from_dict(qrels, orient=\"index\").stack().reset_index()\n", + "qrels_df.columns = [\"query_id\", \"doc_id\", \"relevance\"]\n", + "\n", + "# --- 4. Display a few rows from each ---\n", + "print(\"\\n📘 Corpus sample:\")\n", + "display(corpus_df.head())\n", + "\n", + "print(\"\\n🔍 Queries sample:\")\n", + "display(queries_df.head())\n", + "\n", + "print(\"\\n📎 Qrels sample:\")\n", + "display(qrels_df.head())" + ] + }, + { + "cell_type": "markdown", + "id": "77ac879d", + "metadata": {}, + "source": [ + "## 3. Embedding Generation" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "939be3b7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-11-07 21:31:09 - Use pytorch device_name: mps\n", + "2025-11-07 21:31:09 - Load pretrained SentenceTransformer: nomic-ai/nomic-embed-text-v1.5\n", + "2025-11-07 21:31:14 - \n" + ] + } + ], + "source": [ + "from sentence_transformers import SentenceTransformer\n", + "embedding_model = SentenceTransformer(\"nomic-ai/nomic-embed-text-v1.5\", trust_remote_code=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "be75832a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔄 Generating embeddings for 5183 BEIR documents...\n", + "📊 Corpus prepared: 5183 documents\n", + "🧠 Encoding embeddings one-by-one (this will take a few minutes)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Generating embeddings: 100%|██████████| 5183/5183 [17:55<00:00, 4.82doc/s] \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Embeddings generated! Dimension: 768\n" + ] + }, + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      doc_idtitletextcombined_texttext_prefixedembedding
      04983Microstructural development of human newborn c...Alterations of the architecture of cerebral wh...Microstructural development of human newborn c...search_document: Microstructural development o...[0.05231916904449463, 0.04069134593009949, -0....
      15836Induction of myelodysplasia by myeloid-derived...Myelodysplastic syndromes (MDS) are age-depend...Induction of myelodysplasia by myeloid-derived...search_document: Induction of myelodysplasia b...[0.0415470190346241, 0.022322900593280792, -0....
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      " + ], + "text/plain": [ + " doc_id title \\\n", + "0 4983 Microstructural development of human newborn c... \n", + "1 5836 Induction of myelodysplasia by myeloid-derived... \n", + "\n", + " text \\\n", + "0 Alterations of the architecture of cerebral wh... \n", + "1 Myelodysplastic syndromes (MDS) are age-depend... \n", + "\n", + " combined_text \\\n", + "0 Microstructural development of human newborn c... \n", + "1 Induction of myelodysplasia by myeloid-derived... \n", + "\n", + " text_prefixed \\\n", + "0 search_document: Microstructural development o... \n", + "1 search_document: Induction of myelodysplasia b... \n", + "\n", + " embedding \n", + "0 [0.05231916904449463, 0.04069134593009949, -0.... \n", + "1 [0.0415470190346241, 0.022322900593280792, -0.... " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Cell 3: Generate embeddings for BEIR corpus documents (one-by-one with single progress bar)\n", + "from tqdm import tqdm\n", + "import pandas as pd\n", + "\n", + "print(f\"🔄 Generating embeddings for {len(corpus)} BEIR documents...\")\n", + "\n", + "# Prepare corpus data for embedding\n", + "corpus_data = []\n", + "for doc_id, doc_content in corpus.items():\n", + " title = doc_content.get('title', '')\n", + " text = doc_content.get('text', '')\n", + " \n", + " # Combine title and text for embedding\n", + " combined_text = f\"{title} {text}\".strip()\n", + " \n", + " corpus_data.append({\n", + " 'doc_id': doc_id,\n", + " 'title': title,\n", + " 'text': text,\n", + " 'combined_text': combined_text\n", + " })\n", + "\n", + "corpus_df = pd.DataFrame(corpus_data)\n", + "\n", + "# Add prefix for retrieval-style embeddings\n", + "corpus_df[\"text_prefixed\"] = corpus_df[\"combined_text\"].apply(\n", + " lambda x: f\"search_document: {x}\"\n", + ")\n", + "\n", + "print(f\"📊 Corpus prepared: {len(corpus_df)} documents\")\n", + "\n", + "# Generate embeddings one-by-one with single progress bar\n", + "print(\"🧠 Encoding embeddings one-by-one (this will take a few minutes)...\")\n", + "embeddings = []\n", + "\n", + "for text in tqdm(corpus_df[\"text_prefixed\"], desc=\"Generating embeddings\", unit=\"doc\"):\n", + " # Generate embedding for single document\n", + " embedding = embedding_model.encode(\n", + " [text], # Pass as single-item list\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True,\n", + " show_progress_bar=False # Disable internal progress bar\n", + " )[0] # Extract first (and only) embedding\n", + " \n", + " # Convert to float32 and store as list\n", + " embeddings.append(embedding.astype(np.float32).tolist())\n", + "\n", + "# Add embeddings to dataframe\n", + "corpus_df[\"embedding\"] = embeddings\n", + "\n", + "embedding_dim = len(corpus_df[\"embedding\"].iloc[0])\n", + "print(f\"✅ Embeddings generated! Dimension: {embedding_dim}\")\n", + "\n", + "corpus_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "5dadff8a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      doc_idtitletextcombined_texttext_prefixedembedding
      04983Microstructural development of human newborn c...Alterations of the architecture of cerebral wh...Microstructural development of human newborn c...search_document: Microstructural development o...[0.05231916904449463, 0.04069134593009949, -0....
      15836Induction of myelodysplasia by myeloid-derived...Myelodysplastic syndromes (MDS) are age-depend...Induction of myelodysplasia by myeloid-derived...search_document: Induction of myelodysplasia b...[0.0415470190346241, 0.022322900593280792, -0....
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      " + ], + "text/plain": [ + " doc_id title \\\n", + "0 4983 Microstructural development of human newborn c... \n", + "1 5836 Induction of myelodysplasia by myeloid-derived... \n", + "\n", + " text \\\n", + "0 Alterations of the architecture of cerebral wh... \n", + "1 Myelodysplastic syndromes (MDS) are age-depend... \n", + "\n", + " combined_text \\\n", + "0 Microstructural development of human newborn c... \n", + "1 Induction of myelodysplasia by myeloid-derived... \n", + "\n", + " text_prefixed \\\n", + "0 search_document: Microstructural development o... \n", + "1 search_document: Induction of myelodysplasia b... \n", + "\n", + " embedding \n", + "0 [0.05231916904449463, 0.04069134593009949, -0.... \n", + "1 [0.0415470190346241, 0.022322900593280792, -0.... " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "corpus_df.head(2)" + ] + }, + { + "cell_type": "markdown", + "id": "7072118f", + "metadata": {}, + "source": [ + "# 4. Data Ingestion into Oracle AI Database" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "640fc616", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Table BEIR_CORPUS created with VECTOR dimension: 768\n" + ] + } + ], + "source": [ + "# Cell 4: Create BEIR evaluation table in Oracle\n", + "ddl = f\"\"\"\n", + "BEGIN\n", + " EXECUTE IMMEDIATE 'DROP TABLE beir_corpus';\n", + "EXCEPTION WHEN OTHERS THEN\n", + " IF SQLCODE != -942 THEN RAISE; END IF;\n", + "END;\n", + "/\n", + "CREATE TABLE beir_corpus (\n", + " doc_id VARCHAR2(255) PRIMARY KEY,\n", + " title VARCHAR2(4000),\n", + " text CLOB,\n", + " embedding VECTOR({embedding_dim}, FLOAT32)\n", + ")\n", + "TABLESPACE USERS\n", + "\"\"\"\n", + "\n", + "with conn.cursor() as cur:\n", + " for stmt in ddl.split(\"/\"):\n", + " if stmt.strip():\n", + " cur.execute(stmt)\n", + "\n", + "conn.commit()\n", + "print(f\"✅ Table BEIR_CORPUS created with VECTOR dimension: {embedding_dim}\")" + ] + }, + { + "cell_type": "markdown", + "id": "80aef076", + "metadata": {}, + "source": [ + "Create vector index on BEIR corpus" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b95f61e5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Vector Index BEIR_VEC_IVF created\n" + ] + } + ], + "source": [ + "with conn.cursor() as cur:\n", + " cur.execute(\"\"\"\n", + " CREATE VECTOR INDEX BEIR_VEC_IVF\n", + " ON beir_corpus(embedding)\n", + " ORGANIZATION NEIGHBOR PARTITIONS\n", + " DISTANCE COSINE\n", + " WITH TARGET ACCURACY 90\n", + " TABLESPACE USERS\n", + " \"\"\")\n", + "\n", + "conn.commit()\n", + "print(\"✅ Vector Index BEIR_VEC_IVF created\")" + ] + }, + { + "cell_type": "markdown", + "id": "8d5a03b7", + "metadata": {}, + "source": [ + "Create Text Index" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "723744f2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔧 Setting up Oracle Text for proper keyword search...\n", + "✅ Oracle Text indexes created successfully!\n" + ] + } + ], + "source": [ + "print(\"🔧 Setting up Oracle Text for proper keyword search...\")\n", + "\n", + "# Step 1: Create Oracle Text index\n", + "try:\n", + " with conn.cursor() as cur:\n", + " # Drop existing index if exists\n", + " try:\n", + " cur.execute(\"DROP INDEX beir_text_idx\")\n", + " except:\n", + " pass\n", + " \n", + " # Create CONTEXT index on text column\n", + " cur.execute(\"\"\"\n", + " CREATE INDEX beir_text_idx \n", + " ON beir_corpus(text) \n", + " INDEXTYPE IS CTXSYS.CONTEXT\n", + " PARAMETERS('SYNC (ON COMMIT)')\n", + " \"\"\")\n", + " \n", + " # Also index title\n", + " try:\n", + " cur.execute(\"DROP INDEX beir_title_idx\")\n", + " except:\n", + " pass\n", + " \n", + " cur.execute(\"\"\"\n", + " CREATE INDEX beir_title_idx \n", + " ON beir_corpus(title) \n", + " INDEXTYPE IS CTXSYS.CONTEXT\n", + " PARAMETERS('SYNC (ON COMMIT)')\n", + " \"\"\")\n", + " \n", + " conn.commit()\n", + " print(\"✅ Oracle Text indexes created successfully!\")\n", + " \n", + "except Exception as e:\n", + " print(f\"⚠️ Oracle Text not available or error: {e}\")\n", + " print(\" Falling back to LIKE-based search\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "7b4d5d04", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "📤 Inserting 5183 documents into BEIR_CORPUS...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5183/5183 [00:06<00:00, 798.23it/s] \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ BEIR corpus inserted successfully!\n", + "📊 Total documents in BEIR_CORPUS: 5183\n" + ] + } + ], + "source": [ + "from tqdm import tqdm\n", + "import array\n", + "\n", + "rows = []\n", + "for i, row in corpus_df.iterrows():\n", + " # Convert embedding list to array.array for proper VECTOR binding\n", + " embedding_array = array.array('f', row.get(\"embedding\"))\n", + " \n", + " rows.append((\n", + " row.get(\"doc_id\"),\n", + " row.get(\"title\"),\n", + " row.get(\"text\"),\n", + " embedding_array\n", + " ))\n", + "\n", + "print(f\"📤 Inserting {len(rows)} documents into BEIR_CORPUS...\")\n", + "\n", + "with conn.cursor() as cur:\n", + " for row in tqdm(rows):\n", + " cur.execute(\n", + " \"\"\"\n", + " INSERT INTO beir_corpus (doc_id, title, text, embedding)\n", + " VALUES (:1, :2, :3, :4)\n", + " \"\"\", \n", + " row\n", + " )\n", + "\n", + "conn.commit()\n", + "print(\"✅ BEIR corpus inserted successfully!\")\n", + "\n", + "# Verify insertion\n", + "with conn.cursor() as cur:\n", + " cur.execute(\"SELECT COUNT(*) FROM beir_corpus\")\n", + " count = cur.fetchone()[0]\n", + " print(f\"📊 Total documents in BEIR_CORPUS: {count}\")" + ] + }, + { + "cell_type": "markdown", + "id": "6398b1ea", + "metadata": {}, + "source": [ + "# Part 1: Evaluating Information Retrieval Pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "80bf5a32", + "metadata": {}, + "outputs": [], + "source": [ + "from typing import Dict\n", + "import re\n", + "\n", + "class BEIRKeywordRetriever:\n", + " \"\"\"Fixed keyword retriever with proper error logging\"\"\"\n", + " \n", + " def __init__(self, conn, table_name=\"beir_corpus\"):\n", + " self.conn = conn\n", + " self.table_name = table_name\n", + " \n", + " def search(self, query: str, top_k: int = 100) -> Dict[str, float]:\n", + " \"\"\"Perform keyword search using CONTAINS operator\"\"\"\n", + " \n", + " # Extract key words (4+ letters)\n", + " words = re.findall(r'\\b[a-zA-Z]{4,}\\b', query.lower())\n", + " \n", + " if not words:\n", + " print(f\"⚠️ No words extracted from query: '{query}'\")\n", + " return {}\n", + " \n", + " # Build proper Oracle Text query\n", + " oracle_text_query = ' OR '.join(words[:5])\n", + " \n", + " sql = f\"\"\"\n", + " SELECT doc_id, SCORE(1) as relevance_score\n", + " FROM {self.table_name}\n", + " WHERE CONTAINS(text, :query, 1) > 0\n", + " ORDER BY SCORE(1) DESC\n", + " FETCH FIRST {top_k} ROWS ONLY\n", + " \"\"\"\n", + " \n", + " try:\n", + " with self.conn.cursor() as cur:\n", + " cur.execute(sql, query=oracle_text_query)\n", + " rows = cur.fetchall()\n", + " \n", + " # Return normalized scores\n", + " if rows:\n", + " max_score = max(row[1] for row in rows) if rows else 1\n", + " if max_score == 0:\n", + " max_score = 1\n", + " results = {row[0]: float(row[1]) / max_score for row in rows}\n", + " return results\n", + " else:\n", + " return {}\n", + " \n", + " except Exception as e:\n", + " # Log the actual error instead of silently failing\n", + " print(f\"❌ CONTAINS error for query '{query[:50]}...': {e}\")\n", + " import traceback\n", + " traceback.print_exc()\n", + " return {}\n", + " \n", + " def batch_search(self, queries: Dict[str, str], top_k: int = 100) -> Dict[str, Dict[str, float]]:\n", + " \"\"\"Batch search for multiple queries\"\"\"\n", + " from tqdm import tqdm\n", + " results = {}\n", + " error_count = 0\n", + " \n", + " for query_id, query_text in tqdm(queries.items(), desc=\"Keyword search\", unit=\"query\"):\n", + " try:\n", + " result = self.search(query_text, top_k)\n", + " results[query_id] = result\n", + " if not result:\n", + " error_count += 1\n", + " except Exception as e:\n", + " print(f\"❌ Error on query {query_id}: {e}\")\n", + " results[query_id] = {}\n", + " error_count += 1\n", + " \n", + " if error_count > 0:\n", + " print(f\"\\n⚠️ {error_count}/{len(queries)} queries returned empty results\")\n", + " \n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "38dddf57", + "metadata": {}, + "outputs": [], + "source": [ + "# Cell: Update Vector Retriever to hide embedding progress bars\n", + "class BEIRVectorRetriever:\n", + " \"\"\"Vector-based retriever using Oracle vector search on BEIR corpus\"\"\"\n", + " \n", + " def __init__(self, conn, embedding_model, table_name=\"beir_corpus\"):\n", + " self.conn = conn\n", + " self.embedding_model = embedding_model\n", + " self.table_name = table_name\n", + " \n", + " def search(self, query: str, top_k: int = 100) -> Dict[str, float]:\n", + " \"\"\"Perform vector search\"\"\"\n", + " \n", + " # Generate query embedding (disable progress bar)\n", + " query_embedding = self.embedding_model.encode(\n", + " [f\"search_query: {query}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True,\n", + " show_progress_bar=False # ← This is the key fix!\n", + " )[0].astype(np.float32).tolist()\n", + " \n", + " query_embedding_array = array.array('f', query_embedding)\n", + " \n", + " # Execute vector search (convert distance to similarity score)\n", + " sql = f\"\"\"\n", + " SELECT \n", + " doc_id,\n", + " ROUND(1.0 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS score\n", + " FROM {self.table_name}\n", + " ORDER BY VECTOR_DISTANCE(embedding, :q, COSINE)\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + " \n", + " with self.conn.cursor() as cur:\n", + " cur.execute(sql, q=query_embedding_array)\n", + " rows = cur.fetchall()\n", + " \n", + " # Return as dict {doc_id: score}\n", + " results = {row[0]: float(row[1]) for row in rows}\n", + " return results\n", + " \n", + " def batch_search(self, queries: Dict[str, str], top_k: int = 100) -> Dict[str, Dict[str, float]]:\n", + " \"\"\"Batch search for multiple queries\"\"\"\n", + " from tqdm import tqdm\n", + " results = {}\n", + " for query_id, query_text in tqdm(queries.items(), desc=\"Vector search\", unit=\"query\"):\n", + " results[query_id] = self.search(query_text, top_k)\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0f88fbdf", + "metadata": {}, + "outputs": [], + "source": [ + "class BEIRHybridRetriever:\n", + " \"\"\"Hybrid retriever combining proper keyword filtering with vector search\"\"\"\n", + " \n", + " def __init__(self, conn, embedding_model, table_name=\"beir_corpus\"):\n", + " self.conn = conn\n", + " self.embedding_model = embedding_model\n", + " self.table_name = table_name\n", + " \n", + " def search(self, query: str, top_k: int = 100) -> Dict[str, float]:\n", + " \"\"\"Perform hybrid search (keyword prefilter + vector ranking)\"\"\"\n", + " \n", + " # Generate query embedding (disable progress bar)\n", + " query_embedding = self.embedding_model.encode(\n", + " [f\"search_query: {query}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True,\n", + " show_progress_bar=False\n", + " )[0].astype(np.float32).tolist()\n", + " \n", + " query_embedding_array = array.array('f', query_embedding)\n", + " \n", + " # Extract key words for keyword filter (4+ letters)\n", + " words = re.findall(r'\\b[a-zA-Z]{4,}\\b', query.lower())\n", + " \n", + " if not words:\n", + " # No keywords, fall back to pure vector search\n", + " sql = f\"\"\"\n", + " SELECT \n", + " doc_id,\n", + " ROUND(1.0 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS score\n", + " FROM {self.table_name}\n", + " ORDER BY VECTOR_DISTANCE(embedding, :q, COSINE)\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + " with self.conn.cursor() as cur:\n", + " cur.execute(sql, q=query_embedding_array)\n", + " rows = cur.fetchall()\n", + " else:\n", + " # Build keyword filter with OR conditions (less restrictive)\n", + " search_words = words[:3] # Use top 3 words\n", + " or_conditions = []\n", + " params = {'q': query_embedding_array}\n", + " \n", + " for i, word in enumerate(search_words):\n", + " or_conditions.append(f\"LOWER(text) LIKE :word{i}\")\n", + " params[f'word{i}'] = f'%{word}%'\n", + " \n", + " where_clause = \" OR \".join(or_conditions)\n", + " \n", + " # Hybrid: keyword prefilter + vector ranking\n", + " sql = f\"\"\"\n", + " SELECT \n", + " doc_id,\n", + " ROUND(1.0 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS score\n", + " FROM {self.table_name}\n", + " WHERE {where_clause}\n", + " ORDER BY VECTOR_DISTANCE(embedding, :q, COSINE)\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + " \n", + " with self.conn.cursor() as cur:\n", + " cur.execute(sql, **params)\n", + " rows = cur.fetchall()\n", + " \n", + " # Return as dict {doc_id: score}\n", + " results = {row[0]: float(row[1]) for row in rows}\n", + " return results\n", + " \n", + " def batch_search(self, queries: Dict[str, str], top_k: int = 100) -> Dict[str, Dict[str, float]]:\n", + " \"\"\"Batch search for multiple queries\"\"\"\n", + " from tqdm import tqdm\n", + " results = {}\n", + " for query_id, query_text in tqdm(queries.items(), desc=\"Hybrid search\", unit=\"query\"):\n", + " results[query_id] = self.search(query_text, top_k)\n", + " return results\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3a991e66", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🔧 Initializing BEIR retrievers...\n", + "✅ All BEIR retrievers initialized successfully!\n" + ] + } + ], + "source": [ + "# Initialize all three retrievers\n", + "print(\"\\n🔧 Initializing BEIR retrievers...\")\n", + "beir_keyword_retriever = BEIRKeywordRetriever(conn)\n", + "beir_vector_retriever = BEIRVectorRetriever(conn, embedding_model)\n", + "beir_hybrid_retriever = BEIRHybridRetriever(conn, embedding_model)\n", + "\n", + "print(\"✅ All BEIR retrievers initialized successfully!\")" + ] + }, + { + "cell_type": "markdown", + "id": "52553b29", + "metadata": {}, + "source": [ + "![Recall](./images/recall_image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "7e72afea", + "metadata": {}, + "source": [ + "![Precision](./images/precision_image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "3c2a00d1", + "metadata": {}, + "source": [ + "![NDCG](./images/ndcg_image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "0d2e71a8", + "metadata": {}, + "source": [ + "## Run evaluation for all three retrieval methods" + ] + }, + { + "cell_type": "markdown", + "id": "46c3e77c", + "metadata": {}, + "source": [ + "![MAP](./images/map_image.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ce839775", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📝 [1/3] Evaluating KEYWORD-BASED retrieval...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Keyword search: 13%|█▎ | 38/300 [00:00<00:02, 89.13query/s]Traceback (most recent call last):\n", + " File \"/var/folders/q5/mqxgw8bd5t3b68thxd06mpnm0000gn/T/ipykernel_44607/1723729442.py\", line 34, in search\n", + " cur.execute(sql, query=oracle_text_query)\n", + " File \"/Users/richmondalake/opt/anaconda3/envs/oracle_demos/lib/python3.11/site-packages/oracledb/cursor.py\", line 844, in execute\n", + " impl.execute(self)\n", + " File \"src/oracledb/impl/thin/cursor.pyx\", line 277, in oracledb.thin_impl.ThinCursorImpl.execute\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 501, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 502, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 494, in oracledb.thin_impl.Protocol._process_message\n", + " File \"src/oracledb/impl/thin/messages/base.pyx\", line 102, in oracledb.thin_impl.Message._check_and_raise_exception\n", + "oracledb.exceptions.DatabaseError: ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 11\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n", + "Keyword search: 18%|█▊ | 54/300 [00:00<00:02, 90.31query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "❌ CONTAINS error for query 'CCL19 is absent within dLNs....': ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 11\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n", + "❌ CONTAINS error for query 'Crossover hot spots are not found within gene prom...': ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 32\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"/var/folders/q5/mqxgw8bd5t3b68thxd06mpnm0000gn/T/ipykernel_44607/1723729442.py\", line 34, in search\n", + " cur.execute(sql, query=oracle_text_query)\n", + " File \"/Users/richmondalake/opt/anaconda3/envs/oracle_demos/lib/python3.11/site-packages/oracledb/cursor.py\", line 844, in execute\n", + " impl.execute(self)\n", + " File \"src/oracledb/impl/thin/cursor.pyx\", line 277, in oracledb.thin_impl.ThinCursorImpl.execute\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 501, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 502, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 494, in oracledb.thin_impl.Protocol._process_message\n", + " File \"src/oracledb/impl/thin/messages/base.pyx\", line 102, in oracledb.thin_impl.Message._check_and_raise_exception\n", + "oracledb.exceptions.DatabaseError: ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 32\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n", + "Traceback (most recent call last):\n", + " File \"/var/folders/q5/mqxgw8bd5t3b68thxd06mpnm0000gn/T/ipykernel_44607/1723729442.py\", line 34, in search\n", + " cur.execute(sql, query=oracle_text_query)\n", + " File \"/Users/richmondalake/opt/anaconda3/envs/oracle_demos/lib/python3.11/site-packages/oracledb/cursor.py\", line 844, in execute\n", + " impl.execute(self)\n", + " File \"src/oracledb/impl/thin/cursor.pyx\", line 277, in oracledb.thin_impl.ThinCursorImpl.execute\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 501, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 502, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 494, in oracledb.thin_impl.Protocol._process_message\n", + " File \"src/oracledb/impl/thin/messages/base.pyx\", line 102, in oracledb.thin_impl.Message._check_and_raise_exception\n", + "oracledb.exceptions.DatabaseError: ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 39\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n", + "Keyword search: 32%|███▏ | 95/300 [00:01<00:01, 139.90query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "❌ CONTAINS error for query 'Deamination of cytidine to uridine on the minus st...': ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 39\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Keyword search: 70%|███████ | 211/300 [00:01<00:00, 208.44query/s]Traceback (most recent call last):\n", + " File \"/var/folders/q5/mqxgw8bd5t3b68thxd06mpnm0000gn/T/ipykernel_44607/1723729442.py\", line 34, in search\n", + " cur.execute(sql, query=oracle_text_query)\n", + " File \"/Users/richmondalake/opt/anaconda3/envs/oracle_demos/lib/python3.11/site-packages/oracledb/cursor.py\", line 844, in execute\n", + " impl.execute(self)\n", + " File \"src/oracledb/impl/thin/cursor.pyx\", line 277, in oracledb.thin_impl.ThinCursorImpl.execute\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 501, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 502, in oracledb.thin_impl.Protocol._process_single_message\n", + " File \"src/oracledb/impl/thin/protocol.pyx\", line 494, in oracledb.thin_impl.Protocol._process_message\n", + " File \"src/oracledb/impl/thin/messages/base.pyx\", line 102, in oracledb.thin_impl.Message._check_and_raise_exception\n", + "oracledb.exceptions.DatabaseError: ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 50\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n", + "Keyword search: 85%|████████▌ | 256/300 [00:01<00:00, 198.06query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "❌ CONTAINS error for query 'Recurrent mutations occur frequently within CTCF a...': ORA-29902: Error while processing the ODCIINDEXSTART routine for index \"SYSTEM\".\"BEIR_TEXT_IDX\".\n", + "ORA-30600: Oracle Text error\n", + "DRG-50901: text query parser syntax error on line 1, column 50\n", + "Help: https://docs.oracle.com/error-help/db/ora-29902/\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Keyword search: 100%|██████████| 300/300 [00:02<00:00, 142.89query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "⚠️ 4/300 queries returned empty results\n", + "2025-11-07 21:57:09 - For evaluation, we ignore identical query and document ids (default), please explicitly set ``ignore_identical_ids=False`` to ignore this.\n", + "2025-11-07 21:57:10 - \n", + "\n", + "2025-11-07 21:57:10 - NDCG@1: 0.0567\n", + "2025-11-07 21:57:10 - NDCG@3: 0.1056\n", + "2025-11-07 21:57:10 - NDCG@5: 0.1220\n", + "2025-11-07 21:57:10 - NDCG@10: 0.1468\n", + "2025-11-07 21:57:10 - NDCG@100: 0.2084\n", + "2025-11-07 21:57:10 - \n", + "\n", + "2025-11-07 21:57:10 - MAP@1: 0.0540\n", + "2025-11-07 21:57:10 - MAP@3: 0.0899\n", + "2025-11-07 21:57:10 - MAP@5: 0.0993\n", + "2025-11-07 21:57:10 - MAP@10: 0.1097\n", + "2025-11-07 21:57:10 - MAP@100: 0.1202\n", + "2025-11-07 21:57:10 - \n", + "\n", + "2025-11-07 21:57:10 - Recall@1: 0.0540\n", + "2025-11-07 21:57:10 - Recall@3: 0.1405\n", + "2025-11-07 21:57:10 - Recall@5: 0.1828\n", + "2025-11-07 21:57:10 - Recall@10: 0.2585\n", + "2025-11-07 21:57:10 - Recall@100: 0.5675\n", + "2025-11-07 21:57:10 - \n", + "\n", + "2025-11-07 21:57:10 - P@1: 0.0567\n", + "2025-11-07 21:57:10 - P@3: 0.0522\n", + "2025-11-07 21:57:10 - P@5: 0.0407\n", + "2025-11-07 21:57:10 - P@10: 0.0287\n", + "2025-11-07 21:57:10 - P@100: 0.0063\n", + "✅ Keyword retrieval complete - NDCG@10: 0.1468\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "from beir.retrieval.evaluation import EvaluateRetrieval\n", + "\n", + "# Initialize evaluator\n", + "evaluator = EvaluateRetrieval()\n", + "\n", + "# Dictionary to store all results\n", + "retrieval_results = {}\n", + "\n", + "# ------------------------------------------------------------------\n", + "# 1. KEYWORD-BASED RETRIEVAL EVALUATION (Now Working!)\n", + "# ------------------------------------------------------------------\n", + "print(\"\\n📝 [1/3] Evaluating KEYWORD-BASED retrieval...\")\n", + "keyword_results = beir_keyword_retriever.batch_search(queries, top_k=100)\n", + "keyword_ndcg, keyword_map, keyword_recall, keyword_precision = evaluator.evaluate(\n", + " qrels, keyword_results, [1, 3, 5, 10, 100]\n", + ")\n", + "\n", + "retrieval_results['keyword'] = {\n", + " 'ndcg': keyword_ndcg,\n", + " 'map': keyword_map,\n", + " 'recall': keyword_recall,\n", + " 'precision': keyword_precision,\n", + " 'raw_results': keyword_results\n", + "}\n", + "\n", + "print(f\"✅ Keyword retrieval complete - NDCG@10: {keyword_ndcg.get('NDCG@10', 0):.4f}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "39f2a78f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "🎯 [2/3] Evaluating VECTOR-BASED retrieval...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Vector search: 100%|██████████| 300/300 [03:35<00:00, 1.39query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-11-07 22:00:59 - For evaluation, we ignore identical query and document ids (default), please explicitly set ``ignore_identical_ids=False`` to ignore this.\n", + "2025-11-07 22:00:59 - \n", + "\n", + "2025-11-07 22:00:59 - NDCG@1: 0.5733\n", + "2025-11-07 22:00:59 - NDCG@3: 0.6519\n", + "2025-11-07 22:00:59 - NDCG@5: 0.6808\n", + "2025-11-07 22:00:59 - NDCG@10: 0.7028\n", + "2025-11-07 22:00:59 - NDCG@100: 0.7215\n", + "2025-11-07 22:00:59 - \n", + "\n", + "2025-11-07 22:00:59 - MAP@1: 0.5453\n", + "2025-11-07 22:00:59 - MAP@3: 0.6218\n", + "2025-11-07 22:00:59 - MAP@5: 0.6413\n", + "2025-11-07 22:00:59 - MAP@10: 0.6518\n", + "2025-11-07 22:00:59 - MAP@100: 0.6562\n", + "2025-11-07 22:00:59 - \n", + "\n", + "2025-11-07 22:00:59 - Recall@1: 0.5453\n", + "2025-11-07 22:00:59 - Recall@3: 0.7087\n", + "2025-11-07 22:00:59 - Recall@5: 0.7782\n", + "2025-11-07 22:00:59 - Recall@10: 0.8436\n", + "2025-11-07 22:00:59 - Recall@100: 0.9283\n", + "2025-11-07 22:00:59 - \n", + "\n", + "2025-11-07 22:00:59 - P@1: 0.5733\n", + "2025-11-07 22:00:59 - P@3: 0.2556\n", + "2025-11-07 22:00:59 - P@5: 0.1733\n", + "2025-11-07 22:00:59 - P@10: 0.0950\n", + "2025-11-07 22:00:59 - P@100: 0.0106\n", + "✅ Vector retrieval complete - NDCG@10: 0.7028\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# ------------------------------------------------------------------\n", + "# 2. VECTOR-BASED RETRIEVAL EVALUATION\n", + "# ------------------------------------------------------------------\n", + "print(\"\\n🎯 [2/3] Evaluating VECTOR-BASED retrieval...\")\n", + "vector_results = beir_vector_retriever.batch_search(queries, top_k=100)\n", + "vector_ndcg, vector_map, vector_recall, vector_precision = evaluator.evaluate(\n", + " qrels, vector_results, [1, 3, 5, 10, 100]\n", + ")\n", + "\n", + "retrieval_results['vector'] = {\n", + " 'ndcg': vector_ndcg,\n", + " 'map': vector_map,\n", + " 'recall': vector_recall,\n", + " 'precision': vector_precision,\n", + " 'raw_results': vector_results\n", + "}\n", + "\n", + "print(f\"✅ Vector retrieval complete - NDCG@10: {vector_ndcg.get('NDCG@10', 0):.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ed1dbf3d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "⚡ [3/3] Evaluating HYBRID retrieval...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Hybrid search: 100%|██████████| 300/300 [03:31<00:00, 1.42query/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-11-07 22:04:31 - For evaluation, we ignore identical query and document ids (default), please explicitly set ``ignore_identical_ids=False`` to ignore this.\n", + "2025-11-07 22:04:31 - \n", + "\n", + "2025-11-07 22:04:31 - NDCG@1: 0.5267\n", + "2025-11-07 22:04:31 - NDCG@3: 0.5826\n", + "2025-11-07 22:04:31 - NDCG@5: 0.6084\n", + "2025-11-07 22:04:31 - NDCG@10: 0.6206\n", + "2025-11-07 22:04:31 - NDCG@100: 0.6325\n", + "2025-11-07 22:04:31 - \n", + "\n", + "2025-11-07 22:04:31 - MAP@1: 0.5003\n", + "2025-11-07 22:04:31 - MAP@3: 0.5587\n", + "2025-11-07 22:04:31 - MAP@5: 0.5772\n", + "2025-11-07 22:04:31 - MAP@10: 0.5831\n", + "2025-11-07 22:04:31 - MAP@100: 0.5861\n", + "2025-11-07 22:04:31 - \n", + "\n", + "2025-11-07 22:04:31 - Recall@1: 0.5003\n", + "2025-11-07 22:04:31 - Recall@3: 0.6214\n", + "2025-11-07 22:04:31 - Recall@5: 0.6826\n", + "2025-11-07 22:04:31 - Recall@10: 0.7186\n", + "2025-11-07 22:04:31 - Recall@100: 0.7720\n", + "2025-11-07 22:04:31 - \n", + "\n", + "2025-11-07 22:04:31 - P@1: 0.5267\n", + "2025-11-07 22:04:31 - P@3: 0.2267\n", + "2025-11-07 22:04:31 - P@5: 0.1540\n", + "2025-11-07 22:04:31 - P@10: 0.0820\n", + "2025-11-07 22:04:31 - P@100: 0.0089\n", + "✅ Hybrid retrieval complete - NDCG@10: 0.6206\n", + "\n", + "================================================================================\n", + "✅ ALL EVALUATIONS COMPLETE!\n", + "================================================================================\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# ------------------------------------------------------------------\n", + "# 3. HYBRID RETRIEVAL EVALUATION\n", + "# ------------------------------------------------------------------\n", + "print(\"\\n⚡ [3/3] Evaluating HYBRID retrieval...\")\n", + "hybrid_results = beir_hybrid_retriever.batch_search(queries, top_k=100)\n", + "hybrid_ndcg, hybrid_map, hybrid_recall, hybrid_precision = evaluator.evaluate(\n", + " qrels, hybrid_results, [1, 3, 5, 10, 100]\n", + ")\n", + "\n", + "retrieval_results['hybrid'] = {\n", + " 'ndcg': hybrid_ndcg,\n", + " 'map': hybrid_map,\n", + " 'recall': hybrid_recall,\n", + " 'precision': hybrid_precision,\n", + " 'raw_results': hybrid_results\n", + "}\n", + "\n", + "print(f\"✅ Hybrid retrieval complete - NDCG@10: {hybrid_ndcg.get('NDCG@10', 0):.4f}\")\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"✅ ALL EVALUATIONS COMPLETE!\")\n", + "print(\"=\"*80)" + ] + }, + { + "cell_type": "markdown", + "id": "6ce1ca61", + "metadata": {}, + "source": [ + "## Create comparison tables for all metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "152a84a1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "📊 RETRIEVAL METHODS COMPARISON - DETAILED METRICS\n", + "================================================================================\n", + "\n", + "🎯 NDCG (Normalized Discounted Cumulative Gain) Comparison:\n", + "--------------------------------------------------------------------------------\n", + " k keyword vector hybrid\n", + " 1 0.05667 0.57333 0.52667\n", + " 3 0.10561 0.65192 0.58264\n", + " 5 0.12196 0.68080 0.60836\n", + " 10 0.14681 0.70283 0.62061\n", + "100 0.20843 0.72147 0.63250\n", + "\n", + "🎯 MAP (Mean Average Precision) Comparison:\n", + "--------------------------------------------------------------------------------\n", + " k keyword vector hybrid\n", + " 1 0.05400 0.54528 0.50028\n", + " 3 0.08992 0.62176 0.55870\n", + " 5 0.09935 0.64128 0.57717\n", + " 10 0.10971 0.65177 0.58314\n", + "100 0.12021 0.65615 0.58606\n", + "\n", + "🎯 Recall Comparison:\n", + "--------------------------------------------------------------------------------\n", + " k keyword vector hybrid\n", + " 1 0.05400 0.54528 0.50028\n", + " 3 0.14050 0.70867 0.62144\n", + " 5 0.18283 0.77817 0.68261\n", + " 10 0.25850 0.84356 0.71856\n", + "100 0.56750 0.92833 0.77200\n", + "\n", + "🎯 Precision Comparison:\n", + "--------------------------------------------------------------------------------\n", + " k keyword vector hybrid\n", + " 1 0 0 0\n", + " 3 0 0 0\n", + " 5 0 0 0\n", + " 10 0 0 0\n", + "100 0 0 0\n", + "\n", + "================================================================================\n" + ] + } + ], + "source": [ + "def create_comparison_table(metric_name, metric_dict_key):\n", + " \"\"\"Helper function to create comparison tables\"\"\"\n", + " data = []\n", + " k_values = [1, 3, 5, 10, 100]\n", + " \n", + " for k in k_values:\n", + " row = {'k': k}\n", + " for method in ['keyword', 'vector', 'hybrid']:\n", + " metric_key = f\"{metric_name}@{k}\"\n", + " row[method] = retrieval_results[method][metric_dict_key].get(metric_key, 0)\n", + " data.append(row)\n", + " \n", + " return pd.DataFrame(data)\n", + "\n", + "# Create comparison tables\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"📊 RETRIEVAL METHODS COMPARISON - DETAILED METRICS\")\n", + "print(\"=\"*80)\n", + "\n", + "# NDCG Comparison\n", + "print(\"\\n🎯 NDCG (Normalized Discounted Cumulative Gain) Comparison:\")\n", + "print(\"-\" * 80)\n", + "ndcg_comparison = create_comparison_table(\"NDCG\", \"ndcg\")\n", + "print(ndcg_comparison.to_string(index=False))\n", + "\n", + "# MAP Comparison\n", + "print(\"\\n🎯 MAP (Mean Average Precision) Comparison:\")\n", + "print(\"-\" * 80)\n", + "map_comparison = create_comparison_table(\"MAP\", \"map\")\n", + "print(map_comparison.to_string(index=False))\n", + "\n", + "# Recall Comparison\n", + "print(\"\\n🎯 Recall Comparison:\")\n", + "print(\"-\" * 80)\n", + "recall_comparison = create_comparison_table(\"Recall\", \"recall\")\n", + "print(recall_comparison.to_string(index=False))\n", + "\n", + "# Precision Comparison\n", + "print(\"\\n🎯 Precision Comparison:\")\n", + "print(\"-\" * 80)\n", + "precision_comparison = create_comparison_table(\"Precision\", \"precision\")\n", + "print(precision_comparison.to_string(index=False))\n", + "\n", + "print(\"\\n\" + \"=\"*80)" + ] + }, + { + "cell_type": "markdown", + "id": "81a54220", + "metadata": {}, + "source": [ + "## Create comprehensive comparison charts" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "065a6a88", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Cell 10: Create comprehensive comparison charts\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# Set up the plotting style\n", + "plt.style.use('seaborn-v0_8-darkgrid')\n", + "colors = {'keyword': '#FF6B6B', 'vector': '#4ECDC4', 'hybrid': '#95E1D3'}\n", + "\n", + "# Create a 2x2 subplot figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(16, 12))\n", + "fig.suptitle('Retrieval Methods Comparison - BEIR Evaluation', fontsize=18, fontweight='bold', y=0.995)\n", + "\n", + "k_values = [1, 3, 5, 10, 100]\n", + "x_pos = np.arange(len(k_values))\n", + "bar_width = 0.25\n", + "\n", + "# ------------------------------------------------------------------\n", + "# Plot 1: NDCG Comparison\n", + "# ------------------------------------------------------------------\n", + "ax1 = axes[0, 0]\n", + "for i, method in enumerate(['keyword', 'vector', 'hybrid']):\n", + " ndcg_values = [retrieval_results[method]['ndcg'].get(f\"NDCG@{k}\", 0) for k in k_values]\n", + " ax1.bar(x_pos + i*bar_width, ndcg_values, bar_width, \n", + " label=method.upper(), color=colors[method], alpha=0.8)\n", + "\n", + "ax1.set_xlabel('k', fontsize=12, fontweight='bold')\n", + "ax1.set_ylabel('NDCG Score', fontsize=12, fontweight='bold')\n", + "ax1.set_title('NDCG@k - Normalized Discounted Cumulative Gain', fontsize=14, fontweight='bold')\n", + "ax1.set_xticks(x_pos + bar_width)\n", + "ax1.set_xticklabels(k_values)\n", + "ax1.legend(loc='lower right')\n", + "ax1.grid(axis='y', alpha=0.3)\n", + "ax1.set_ylim([0, 1])\n", + "\n", + "# ------------------------------------------------------------------\n", + "# Plot 2: MAP Comparison\n", + "# ------------------------------------------------------------------\n", + "ax2 = axes[0, 1]\n", + "for i, method in enumerate(['keyword', 'vector', 'hybrid']):\n", + " map_values = [retrieval_results[method]['map'].get(f\"MAP@{k}\", 0) for k in k_values]\n", + " ax2.bar(x_pos + i*bar_width, map_values, bar_width, \n", + " label=method.upper(), color=colors[method], alpha=0.8)\n", + "\n", + "ax2.set_xlabel('k', fontsize=12, fontweight='bold')\n", + "ax2.set_ylabel('MAP Score', fontsize=12, fontweight='bold')\n", + "ax2.set_title('MAP@k - Mean Average Precision', fontsize=14, fontweight='bold')\n", + "ax2.set_xticks(x_pos + bar_width)\n", + "ax2.set_xticklabels(k_values)\n", + "ax2.legend(loc='lower right')\n", + "ax2.grid(axis='y', alpha=0.3)\n", + "ax2.set_ylim([0, 1])\n", + "\n", + "# ------------------------------------------------------------------\n", + "# Plot 3: Recall Comparison\n", + "# ------------------------------------------------------------------\n", + "ax3 = axes[1, 0]\n", + "for i, method in enumerate(['keyword', 'vector', 'hybrid']):\n", + " recall_values = [retrieval_results[method]['recall'].get(f\"Recall@{k}\", 0) for k in k_values]\n", + " ax3.bar(x_pos + i*bar_width, recall_values, bar_width, \n", + " label=method.upper(), color=colors[method], alpha=0.8)\n", + "\n", + "ax3.set_xlabel('k', fontsize=12, fontweight='bold')\n", + "ax3.set_ylabel('Recall Score', fontsize=12, fontweight='bold')\n", + "ax3.set_title('Recall@k - Proportion of Relevant Docs Retrieved', fontsize=14, fontweight='bold')\n", + "ax3.set_xticks(x_pos + bar_width)\n", + "ax3.set_xticklabels(k_values)\n", + "ax3.legend(loc='lower right')\n", + "ax3.grid(axis='y', alpha=0.3)\n", + "ax3.set_ylim([0, 1])\n", + "\n", + "# ------------------------------------------------------------------\n", + "# Plot 4: Precision Comparison\n", + "# ------------------------------------------------------------------\n", + "ax4 = axes[1, 1]\n", + "for i, method in enumerate(['keyword', 'vector', 'hybrid']):\n", + " precision_values = [retrieval_results[method]['precision'].get(f\"P@{k}\", 0) for k in k_values]\n", + " ax4.bar(x_pos + i*bar_width, precision_values, bar_width, \n", + " label=method.upper(), color=colors[method], alpha=0.8)\n", + "\n", + "ax4.set_xlabel('k', fontsize=12, fontweight='bold')\n", + "ax4.set_ylabel('Precision Score', fontsize=12, fontweight='bold')\n", + "ax4.set_title('Precision@k - Proportion of Retrieved Docs Relevant', fontsize=14, fontweight='bold')\n", + "ax4.set_xticks(x_pos + bar_width)\n", + "ax4.set_xticklabels(k_values)\n", + "ax4.legend(loc='upper right')\n", + "ax4.grid(axis='y', alpha=0.3)\n", + "ax4.set_ylim([0, 1])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "3ef3ea56", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "🏆 RETRIEVAL METHODS SUMMARY & WINNER ANALYSIS\n", + "================================================================================\n", + "\n", + "📊 Average Performance Across All k Values:\n", + "--------------------------------------------------------------------------------\n", + " Method Avg NDCG Avg MAP Avg Recall Avg Precision Overall Score\n", + "KEYWORD 0.1279 0.0946 0.2407 0.0369 0.1250\n", + " VECTOR 0.6661 0.6232 0.7608 0.2216 0.5679\n", + " HYBRID 0.5942 0.5611 0.6590 0.1996 0.5035\n", + "\n", + "🥇 Winners by Metric:\n", + "--------------------------------------------------------------------------------\n", + "Avg NDCG : VECTOR (Score: 0.6661)\n", + "Avg MAP : VECTOR (Score: 0.6232)\n", + "Avg Recall : VECTOR (Score: 0.7608)\n", + "Avg Precision : VECTOR (Score: 0.2216)\n", + "Overall Score : VECTOR (Score: 0.5679)\n", + "\n", + "================================================================================\n" + ] + }, + { + "data": { + "image/png": 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Vr2dl77zx+HAugziGiK4GzpF4nObNhfvuu09tamADB44kQgghzYdimZAGgMoDFoHmhRYWQajoGH2sqAKhMmmAxZQhxrDwR/UP4hJVEQgpCBcsVLGIwyINFZYf//jHagA7gGhF31213jssFCEGsfiESDWLqWpApBmCDFUqLNTweG+//Xb1t0GkIM0Z1SiMq0Lv9fXXX6++Hn2jZrFsrkLi64xFM/4WQyij2oNKCiqDEHW4/+jRo+pnzbVwX4xYNsBiHGIZvcqHDh1S96FKNleltZGvDQQI7N9IxcZzg+/D3w9RgOfULJYxh9B4XfA4sPGwatUqJV7xtxjhT6tXr1aVMAChYhbKqMjhv2EhbhabZhAYZwhliC78vfi7sDFgVOIhtnH8NsP2bGxymMPysKlirr7jGIVQBPl8Xm1uGMIKx/2xxx6rXg9UPyGyIE7w/aj8AYgzs1BGqjSS67GZMtfzhOfDEMp4n5xzzjnS29urBCI2ZIznEq9JNfGK9yUqqvg9eD1wDM4FfqZBIBCQTZs2zfm11X4XwIaOWSjjb8Qxid+Nn4/nC8Iex4/xvJjBexktJngf7927V70uxt+BG34vvg+C0vj7USWGuMR7oNr7Csc8vgc5D3htcH7B6wvRjs9x3lnM67nY8x+yJSBqjfcYqvOYH4rzN95H2AjBe+PGG29UG4oGcIYYQhnHAt4z2DzDOR+PE5VvbC5973vfm7VJCiC+MQ8UTg48Jzj34e/G8Y55qBTLhBDSGiiWCWkAWHAZ4rEaWFRCWGHUi4H569/73vfKxRdfrP4NQfriF79YiTLYb9ELDYslPmKRawgyVHbmqjZhcQ2xZ4iJ+YDgwqLa4LrrrpuuBsN+CYEEwY+fh4HvqOSgMmo8flSnYAnGghGLWDxmA3wdgBiECITgxMIQi1NjnBNEGCopAAtyu4Al0ty3XGnBhpjGor4ajXxt8HfD6muEjsHe+u53v1v9GxU7A/wsc2UbmzGwhRqvGRbuEO9YYOPYMiy9sNIbYMGN6hWecwgPCBKI80rMzzv+RlhrDT75yU+qCifESqXFuFFAhMyXdg3bKjYrDCC4IDogkiD8ILQM8NyiAmn+OyFIUAU1gNUcxzCAcMNoqmpjrPDfYJmHaMZmh/E84edBtCGpGv+GsK8mYGGBhtiuHGVWDXPLRiwWq3vsHI57vLfMr6vRu49jARXnW265RX0OwYxjpfJ3YGMMI9bw2gPjOQbY8MHzis0b/Dy8LwwXDdoDqollgE03WNPBm970JvUzcX7B34v3FJ7Tel/PpZz/8F42Ns3wXoSDxgCPBecCOADMo7lwbOK9B/DewvkTGxHGtQCOBVTRkVWB16DaqDjjPGC0i8DOb0xMMLuRCCGENBeKZUKaCCpIWHg///nPV5UUs2XRWBBBZJrFCSo5+Hos9rAIhcCrdx4oKla1LBSNSpDR/4cKiCGUjc8hKmGVxCIQlmz8bPRhY3GIahIqMBCdqKxAlBo9k6g2o7pjLF7f/va3W36vYeFGldSg0qK9FPC8YiGKx4TKEB6nYcGeTyw3+rWBYDKnc5v/jefYAFV9o7KG59IQygB2eIgGY8H+l7/8RdlCUZUzW6lhEzUq+1ic41isJpbNQgAiFK83BCnEA6ywtYi7ZgCBiufb7BoAONaxEWAAwQrhiuPT/HwYxxfErLnf2WwvR7UP/cHVxDJeK/PrhY0KCGccV0aIHzDbls2gEl3rc2nemJivh3ouUB03HhMEJ157AzwGPF+ogkNU472I56lyVjN6qw2hDFDdNsSy4XIwfh7Odcb7BtXYahj99gZwKWAzzhDtOB/g/Vbv67mU8x8s2nhfQ6CjHQLHGDb2cH7D+QOum0qwQWiAqrUhlAHO8+iRhmAGcIbgfVz5usNZYwhlYD6m53r+CCGENB6KZUIaABajWBRBsMBqCPssFkiwJ6JaCBujGaMCaSy4KxepZoz+33ofT62gn9UAlRqEz8z3WAzrKILADOslBBjEstmCbVSVzQte9CGiVxKLUtiuK1mMKKilb9kQtoYwh9hHlbsazX5tsJFgYA5SQ4+wQbXHAKGBhTkENp43vHYrVqyw/Axjs8JgLisvRBz6dHHsQujB6oqbeYMA4Ufz9diahYTZQmyAanutSfAQr6g64jlAj7CxqYHNARx31cDfDfGHYwyiq1qgl3F8mY89VIDxN5oxh/JVgvc4Qp2woYD+/GpW/rlmoNfzvjT3w0PIVRNc8wFxaYD3dGUPMY4dHEMQ+8bXVx5nOJ7MYJNmrj5g83E81/u42vNqPqbM4WT1vJ5LeZ6xOYLKLyrv2DjA5qEROIbnDBtVGAtoDlczvzcRBlaJ+XnE48ZGXaXTAI4UM+YE87mOH0KIsymWSvLw5ISM5nPS6/XJSZGYuOt0BdUKXE44j1TmLQCsxbDxjU1NrLnmus6ap07gmvalL31Jnf9QKMC5D5kpxobpfGtDnHPvuOMO9W9kNsAtiA1brCew7sBjNV+7sRarHHOI34l1GTYsq03DaCYUy4Q0CFgYsSBCz62Rsgtw8sFCCMEt1apGWADP1XO4WAFprmIvhHlhhpNVpXAwY37cED//9V//pcQaTpJYFBoCCxZNCDDz34AKJaqlAMFaOCGisgIbpNkuaifoDzVAz6ERplNZmZzrb2zEa2MWFWAuey0ssAth/v34OZU/q9I2DfFfDXwfrLio6qF3En2XRrgUhBpsr7j4wkK8UII4RDf6NCvBBbOesWk4FiGkcGzgIouNJ7x+6A9HX7ZZZKHCiEoe+lONCzeOPxxfuM9sTTf+XoNq1nLzhoMZLAIQhGaIbfw92Dwy7Luw3tr1vjQvTCDIsTGD6m014CDAgsZI9V7s8VPPsVr532qhWsUdr3Plz6/39VzK8wxQ7YYox2YRzmV4HXEM4NiAwwA3bAz++7//e03PbS3nBYh0M/Xa7AkhzuIPo8Ny/b6dMpyf2UDt9/rksjWb5Gm9/bb/Prha0CaF64N5I9PYtEZrDc5hOHcabUZmsE4zQEsIfhbau9773veqtQJaUHC9g/MHG51mJx7ELM7HRsaMsRkL5w9EMEQ6vh+bvhDGKCDBmWhuqQHmn4l1M4pOWIvA1VhZZGomFMuENAH0BuJNb1TYsOBHD58hFsy9yzjJQZyYq0Y4wVVLk60V8wJ0IcyPBYtSQ9Au9FjQD4yTNRau6DnEidYIM8PJ2XwiRhCP8XONkTTGYrEycdpOzH3L6Ck2mC9YqdGvTa0YFldQmVJtVLcMuyYeHy4uEAl4zEa1EyFghniqpRIOAYrxPzh+4DhARQ89q3AC4OKJ4xibP80EouyDH/ygGtWE5x7HGCy6OIaM1wFjgAxhhYs00o2N1wwie77XGJs8sGT39/cv+Dyh/9sQyuYeYGDudbXjfYlzBR6TYRfH34jgsEog7HCuwQ2WYYRDIczOXF1F9biyMo1NLnPPb6ULYSEWI+6qvRbYgKh8Xep9PZfyPBtgUYdjDDkNOMawsMPGD55PYGQ2YKPP/N6sNvbK/H7F5iNC4AghnS2UP/TYTAK/AYQz7n+XnGC7YMY6C84ruObMGRE4t0OE4rwJdw6uofNN/sB1AGIWmQnIijDAfRhnh5wJVK/NPwPnWKzxKn8uRvjhsZgDb+FgOuGEE9TPwsYkQhQNKr//9a9/vVovIlyxlWLZGY1nhHQ4qDyg6mos5rHIR1XCqOJisWXYGFFFMSfWYqGGChHmD8OKatgkgXmxO1f1q96FLBblhrDFwtU8FxkjZlCFRXgRLDuVs0PNthqj77CaBdv8N+B3GUIZog5jmBplP4RwNFKizcxXWW70a1Mr5t5OVLXMwWl43syhQfh7sNjHcWf+e7HQN6pceExIgK4GxOfTn/50NeYGFmPjeUCfNCyoBkaS+HzgcRkjtsy3enu7zUDwmy1b2ITCzF4D85ggiBPjtUDPrmENMx9fsK4ZYhLPj3kDAK+xeb6xGfPvMdukjXToyt+zlPclXkuj7xUgwK1yIwu2ZbOAxqLE2AhCz7kxVgkuAfPfiL8Zix9jhBO+bz6LnV0g+MvsOsD5BE4GA6P3t97XcynPM95XOL/hfYPND7xPcI7CewEWRLM92mjRML83jbYS80L1E5/4xPTnaGFg1ZiQ9rRU70hNKlv1fLcHE+Ny3d75N6Lx3/F1C/0s/D783lqA6w3nebhizMDhh+vTfEUBM2ijw9cjpNGMpmmqyluZNzMX2GDEuRtro2rXcIhoY32x0LqtGQWJ+WBlmZAmgb41BAUZlQks8CEo0bth7KAZib6wpqAfE9Ud9NgaFliIbHOfn9leiMUveiYRRoMF2WLBghppz8bjhKUTYhBVHlSrsPjDDYm85oqcUbnFKBr0ZRsLVzxe8yipyt1DVIwgfGApReXGXN2yM+DLLCTNKdh4fAvNcnbCawMBg4uXISZQyYRN1BgdBeFh7PAiUMgAz60RTgUhgMeL1wkhYGYRYgavodFvjt1lVNMxPgdVVLM4qXxdmwnsYVgUGM8/EtXRR4rX0tx/jgs/RCDux/Fr7oM1H194nlCxNl4vY9wQduTN/b5m8DNRrQfY0cfiANZiPC6zxX2ugK96gcUNrwVeT/x8PAd4DdAni/RoHJeGuwCCDK4AwyIMkYfzj1Hxxk4/duzxvsPILHNfOQR3swQdRi5B9Buvj1E5x+do7QCLeT0XCyz0OKbwfsa5CZUVCGUj58B4fnH+M2zwWIQaAYcQ13ieIaCN0VFGDgS+x9x+QwhpD/K6Lv+69QHZlpoJ3VwK44W8vGfbgzV97XGhiHzw+FPFW0NGBTa0sUGNdYohMFGAwLWx1owLXPtQNKn29cfUkFNigDUPNhrn+h6ca43Ri9XAORhCH73OH/nIR6SVsLJMSBNBX4fZDgkbpzESBqLZnHCMRRaqR4YFFHNu0fds7kUxixVUgWGBrmYDrBf0ExvVVpywsPjHYzEWfQj6qRYiUa2KXK2CiMqNORAIYg+VQQhl/J0Gc4mUpVBZRZ6vqmzglNcG430wK9aoBmJzAZVuQyijQg+rlDmhGZVvY9QVgP0cj92Y8YsRNdVEmdFjjtcfIgzjcCBUDGs9eo5r3WFuBLgIGz2jRpURu96Gw8Hcaw9RhY0pCKu5jq/XvOY1FjsYLtCw2uJr0F5gtmUbIOTM3FeL3mlsZkAcm3+P2Vq8FCB8IXbxmhqgiokFB14bQ8jhOISTpXJcE8S12VYH0Y2/0RDKWBwhVX0pm231gARovE44vlBhMIQybII4vxh90It5PRcLzm2oBBubDEj0xrkJ7QfGxgg2pLA5YlTq8byh7cQI98JGBjYA8J43zpl4/HBy1BM2RghxBodzGduEcr3g9+L31wLO3bhGYzPcuC5iw9dcJcY1Cv3FlTfjXIXvqTfnoRrIN8H5ea6NV5wTjdwYA/PjQfUZ6xlsqJoDFVsBxTIhTV7gX3vttZaTCU4G6s2oaarag89RyUBVAoteVPTQOwe7olkEgVe/+tVqkQ/7Db4W1Udz/9xiwSIVAVgQIzhp4YSH+yCQIBAQ8ITfVQ2MfjF6BLGzWa3PBM8DFpJYBOPx4uuxSMXnsDEaqbsQdOakWTv7lg1qsSY55bVBdRCWYAgJ9G5iHA6eO/xcPHfoRzIHqRkgoAOVcVSM8ViwYIdjAO6ByiAQ43WDYEC1FuIcX4/fg98PQQDRBWE4X9hZM4C4Nf+9WARAAOL4weNDZRIVSDx2bM7Axozjy/ibIYgNgYm/Gb1YqMqjoozvgVMAF2q89tUu+Pj9eJ9g0wFVQ7xH0IuF8BRshBlU2uKWAl4DPE68dhDxsJDj78ExjUonKuT4G6ulhONvxA49etcQ9gJnCP5OPEf4Wej7RlW0WeB8gt8J5wr+LtyQoo9zg/l9uZjXcynguYGzAu9tBKXhcRm/E+czPBbzhoVR/cbjxoaW0QZhnCPwnOLYNAcMEkLah+W+gKrwtgL8Xvz+WoDIxXXJuOagMovzljlME64XuNIqb4aDB+euatMG6gViGMWgudpj0NZnbl8CxmPBGgcb1Lg2IFSs1bhKds9mIYQQQgipAjZgIPYBEvDNvfaEEOJU0Du8K52U7AJZKnqpJB957FFltZ6LuMcr79y4WbQF2l38miYbguG6xk0hDAub43CeIXcBG/nImDECt8B85120IWETGA66yk3in/70p+p+o2XJAIUBbBKaRzzBsQRnITbxsYlcCR4bChHXXXfd9Ogoc+4LAkUhlN/5zneqVrhWwsoyIYQQQgghhMwBBOsxoYialTzf7ZRoXN68dv7eXvx3fN1CPwu/r965zGi/gRX7j3/8o8pZMLeQ1QIcPLBHo7XHTLFYVCLaaMVaCLjQUNE2xqaaMaYLYDzlXKCnGS1wcGkZ2SStgmKZEEIIIYQQQmwAY6HetfEENVfZzIDXp+5vxJxlA7R/oE0EGR5ovaocA4h8DeQ9VN7QFgjQdoVKNNqJkFWya9cuJW5RNUZbnDlAdCFQgUaFGN+DsYb79u1TbWtIyIZQNk8SmCs/B217rXYgMQ2bEEIIIYQQQmwCgvipPX1qBNRoPie9Xp+qFtdbKV4MqCZjPj0yNyr52c9+pm6zHu/TnqbEMYCYRVYEwkA//elPqzwOhJYiUHSuvJpqQKwjlwKtN5hLj0kqyKrAGL75qsoGyALB5A9MdsD0EYy0bAXsWSaEEEIIIYQQQiqgDZsQQgghhBBCCKmAYpkQQroIpFZu3rzZMnu5Elik8DVGcqYZfB/+G+bIzvfzzTeEfGCcBcbqGH1RlWAwA+bn4ndjXAQSPDG2DGEjsGBhnvBCHDp0SE477TSVrFkJZvDCWob/jrFEGOEGSxghhBBCyFywZ5kQQroMjGu49957lbg0ZlobIOnyV7/6VdXv27lzp9xzzz2qD+mWW26Rs846q+rXnXTSSZZ54vl8Xo2RwOzmRx55RPU9mUdSQEBjdvPdd98tz3rWs9RICcyOhoBGIAhGYWBuNWYHQzj7/f5Zv/PgwYNqBngikZj13zAzErNuMZcaQSGY/YiZ2fjZGJNBCCGEEFINimVCCOkyIGa3b98uP//5z+V1r3ud5b9BKAeDQRWsUQkCQ5CUCTH7T//0T6pau379+llfF4lE5AlPeILlvqc85SmSTCZVWMh99903/d9HR0dVtTocDqsZjtV+3qte9Sr585//rH5nLpdTKZ8Guq7L97//fct9lUCcYxQGHn9fX5+6b/ny5XL55ZerijWCSwghhBBCKqENmxBCugyMYsAsRojlSiBYUTH2eDyzZixClD7nOc+R5z//+epnfOtb36rr98KODQ4cOGAZLQFxDkELofyTn/xEJXlCTKPavHfvXmXlxvd84QtfUI/vjjvumP7+Rx99VFWxzz//fPnIRz5S9ff+9re/VYLYEMrgjDPOUAL9rrvuqutvIIQQQkj3QLFMCCFdyLnnnjttxTZADy/EI8RqJbgfsxghSjFG4pxzzlHzElHprZXHHntMfVy7dq36iArzj3/8Y2XPhrX6q1/9qvzzP/+zEuuf+9znxO12K/u0IbRPPPFEefGLX6ws4AYrV65UNm2MyMDjqsaOHTtk48aNlvvws9esWTP9mAghhBBCKqFYJoSQLgSBW6jomqvLEJ39/f1VbcmwMKNX+dRTT1Wfv/zlL1e9v9WCvtBrXCgUpm/Dw8NqruN1112nQruMCjMq1c985jPV3EVUkNFH/Na3vlXdME8RlWL0O6OKja8BuP/hhx+e/l09PT2z+q4rQR8zqsiV4D6GfBFCCCFkLtizTAghXQiqsM997nMtfcuwQKNibA7fAhDF6GVGmjTCssBxxx2n+pdhxUa118xf/vIXOfnkk2eFikHo/ud//uf0z0dq9d///d+rf6Na7PP55PWvf/3093i9Xjn22GMlm82q7wfRaHTORO25gHifi8q/lRBCCCHEgGKZEEK6FAjjt7zlLcqKDRv0H/7wB3n7298+6+t++MMfqgrvZz7zGXUzs3//fmVzPuaYY6bvg1DGmChDjOJnwy6N4C8z+L0Q3IbAftKTnjTLSn306FF52tOeNv35tm3bpr+nVvB7ES5WCarKCPoihBBC2h1sgOOaDudXpTPss5/9rMoCQaglNsnhLDODjep0Oq3yQ1772teqUE2DUCikrs///u//Ph3CiZ+J9icz2PDGJAu0T11yySXqPkydwDhIjIZE6xPWEHgs5k1xXIdf8pKXyBVXXKE+dxoUy4QQ0qVgTBOsyLhw4mKIC5lhkTbz3e9+V9mnMQO5cswULm64uGKkkwF+pmHXXghUjQ2rNC6yZvbs2aPE8WWXXaY+h2C/9dZb1YW3HtCvjJ9VGViGi/gLX/jCun4WIYQQUgt6qSQHs0lJFQsScntkpT8sWgvdTP/yL/+iNsk///nPW67n//u//6s2rCGADbfVP/7jP6pbqVRSbi58D673yBkxvgYtULgmG+A6js+xWQ5X2FOf+tSqjwPrCWPjPZPJyAMPPCDvf//71QhIjHd0GhTLhBDSpWAXGMnW6DtGRfe8886b9TW4iG3dulXe9773yemnnz7rv//d3/2d/OAHP1BjneYK2JoLVIgxfgps2LBB/S70OCOJGx9xwcWFGqOu8BHJ2RgBhQt4PTzjGc9Q85RhJzcSsZGQDbGP/0YIIYTYyY7UuPx29KAki4Xp+8Juj5zRu1KOCcVb8mSjgotMkE9+8pPyile8QoVtQqxCoKKyjFwSA2ygDw4Oqn8vW7ZM3vWud6kpEphAccIJJ0wHZRpfA/Dvd77znfLLX/5S3eYSy6gem78Pj6O3t1e1hL361a+uumnfShjwRQghXZ6Kfc8996j+4WpiGVVlXNjmqsC+9KUvVX3MGOlULwj3QsgXgGULld43v/nN8vWvf131Mm/ZskX9N3wNBDLStzGnGSFk9YCfDSs4FgMIMfvOd76jUrdRWYe1jBBCCLFTKN9+dK9FKAN8jvvx31vFa17zGmWlRqAmuOGGG1QmyJVXXjnv9wUrbNsLbcRDSNcD2q3WrVunrtFOg2KZEEK6GIRuxWIxFdhl7js2LNII/UL1FanT1YCIxg60eZxTrVx88cVKIONiDeGM8C8IZNizkNaNUVK4eH7jG99QF1+EicHe/cgjjyi7V62gmoyfhZ1rVMCxq3722Werj4QQQkgtluojubQczCTnvR1IT8qdIwfm/Vl3jRxQX7fQz8Lvw++1Ezi30HsM6zWqv3BdXXvttfM6w3K5nLJhb968Wd3m+zpcr7dv376oFiesQZCB4jRcpfliQgkhhJAG8u1vf1tdqN/4xjeq23y717B/wQqGfilckOvZ6SaEEEIWQ7Gky/cOPyZDuXTTn8BlvqC8bPlGcbu0mgK+jhw5ogSxGbQ1wfZ8xx13TN8HdxUcYWeddZZ84hOfmFV9huPMCNvKZDKqFQrOLkMEo7/53e9+t+U6jK/DmEeEjKE3eq6AL4SHfe1rX5v1+LGZjVGTN954ozgJ9iwTQghpGRdddJFKq0Z/MoQzKspPecpTZGBgQF2E0aOMvubf/e53Kq37/PPPl/e85z0UyoQQQprCRCHfEqEM8Hvx+3u9/pq+/m1ve9usqi6qyAjiNINRkJh0MZf9Gs4viGaAfI8777xTrrnmGrn++uunJ1SglxmiF0L6vvvukw984ANywQUXTAvlesGEisqpGU6AYpkQQkjL+6bRP4yUzbvuukvtPCOMC+nXuHDCin3aaaepMRWwixNCCCHNIubxqgpvqyrL+P21gkwPY7yT+b5KkONh/lhJPB63/JwTTzxRJWZDdBtiGRVs42sQ0onPIahRQV6MDRthotgQdxoUy4QQQloORDF2snEjhBBCnAIs0C9fvkmG8xkp6Pq8X4sq68+H90pGL875NUHNLWf1r50ewTQXHk2Tfm+gpeOmKv82jF2cC4SE/uhHP1JOMeSh1FMlhnNs//79yhbuNCiWCSGEEEIIIWQOIFgHfbXlZJzZt0qlXs/Fs/pWyaqg8+zGZmC9Rv+z0fOMfmcIWiNFey7QJgW32Gc/+1mVMVINuMaMn40+57/+9a/q51544YXzBoi1CoplQgghhBBCCLEBzFE+a0BmzVmOuL3yjN4VLZuzXA9f/vKX1Q0g6At2a6Rov+hFL5L5wMzkSy+9VE25gPitZvNGeBhmNgNM04Bt+7LLLpvukXYaTMMmhBBCCCGEEBvB2KeD2aSkigUJuT2y0h92jKWa1A7FMiGEEEIIIYQQUsHCQ7sIIYQQQgghhJAugz3LhBBCbEvKLJXKH2fuU/9f8XXlj9XdaC7L/ZpW/mSh1FBCCCGEELuhWCaEECK6XlK3UkmfFrPzYRbFhiA27jNEc5Xvmr4/EvHL5GRW/busg61i2LgPHyGUjY+V/21+yl8DwY0bBTchhBBC6oFimRBCOl4E61UFrFncGmK5LJhnPlZWiu2gLGCDkssVahLm9fxcs7A2bm73jFieuVV7TBpFNSGEEEKmoVgmhJA2pljUp8SwVK3yzohgfN3M552IVdjX9jcaVWdDKJur0JWiuiy8y19HCCGEkM6HYpkQQhwOxC1EsbUXuCx6i8XyfzNupP7ntrx5MPdzB8EMkWzcysLaags3hDSt3oQQQkjnQLFMCCEOAOLXEMTmKrFRFTYLYptd0WTB10akUNDVrRKIY4/HENLlCnVlRdoQ2YQQQghpLyiWCSGkRcLYsEOXP5+pEEOU2d0nTBoDXqd8vqhulcCuDZFsiOmykC7/N8POzUo0IYQQ4lwolgkhpMFiyix+Z4QxBBat051M2RUwW0hDPHs8bvXRLKDxb1SnKaAJIYQQZ0CxTAghDRbGhUJR3c+eYgKqWbopoAkhhBDnQbFMCCFLqByWRU95zBKFMWm0gMYN97H6TAghhDQeimVCCFm0ONYll0PVuMjQLdJwAQ2B7PNBPOtTydsUz4QQQkgjoVgmhJB5xXG539QQx0aYE/O3SLPBMZjNFtQNUDwTQgghjYVimRBCKpKNjX9THJN2Es9I1/Z6KyvP5dFWtG0TQggh9UOxTAjpaspV4hlbNSvHpJ2dENXFs3taPHPmMyGEEFI7FMuEkC5MrC7bqCEuII5zucL0zGNCOlU8Qyij5xkCGpVmVp0JIYSQ+aFYJoR0PLo+E5RUDuUqqGAuQroJHPvpNG756X5nn8+jKtAiqELTrk0IIYSYoVgmhHQkqB6jsoYKMv4NgVw5moeQbqWy3xnVZghn9DcDY1wVIYQQ0s1QLBNCOs5ejX+jckx7NSG1YfTqG3Ztv78snFGBRuUZfc+EEEJIt0GxTAjpCIFszDzO5wsc60TIEsB7KZXKqX9DKKPi7PXq6t8UzoQQQroJimVCSNtarI0AI1SQCSH2g/dYJpNXN1SZUXH2+XT1byZrE0II6XQolgkhbVPtws2wWGezeVaQCWkieO8ZwhkV5kDAq3qdAWza5aAwQgghpHOgWCaEOLqqhSoyQD8lFukc8URI68H70LBqo7fZ7/dO9TiXhTMqz4QQQki7Q7FMCHFsHzI+wmbNFGtCnAven4VCVv0blWZYtWHRpnAmhBDS7lAsE0IcF9QFgWwk8xJC2jNVu9zfXGIwGCGEkLaFYpkQ0jJ0HRUpfdbMV0JI+2O8p2eCwUqq2ozqM23ahBBC2gGKZUJI0zHGO6GajD7kYrHEV4GQLggGQ18zgsFg0+YYKkIIIU6HYpkQ0tSwLohkJFmzikxI9wEnyeRkVlWYIZpRbQasNhNCCHEiFMuEkKbMRMYiuVxF1vmME9LlYNMsnc6rG4QyhDMqzZzdTAghxElQLBNCGmK7RMgPFsS5XEGJZEIImS8UzDy7udzbzCUKIYSQ1sIrESHE9sAuVJIhkJloTQhZzOxmBILpujAQjBBCSEuhWCaE2Ga1hjiGSMa/CSFkqUna5kAwWrQJIYQ0G4plQsiSU61htUbvISGENCIQDBbtYNArHo+bopkQQkjToFgmhNRNLldEZ7KqIjPVmhDSaOBWSSZzypYdDPpUXzNHTxFCCGk0FMuEkLpDuyCSUU0mhJBmgvOP0deMSjNGTzEMjBBCSKOgWCaE1CiSS8pqzdAuQogTMEZPIQwMIlrEJT6fu9UPixBCSAdBsUwImVckw/6YTudU7yAhhDg1DMzng2j2MkGbEEKIbVAsE0IsQBwj3bpY1FXVBh8JIcTpoDUEN/Qzw6LtcrmmZja7Wv3QCCGEtCkUy4QQBUQxbqggo5LM8U+EkHYEjhjcMHYKYWAIAqNoJoQQshgolgnpcoxKMkQygnNgvyaEkHYH57REIqNGTYVCFM2EEELqh2KZkC7vSUY1GSKZlWRCSCeCcxxEM2Y0h0K0ZxNCCKkdimVCujjdGnNL2ZNMCOkG4KCZmChOJWb7OHKKEELIglAsE9JF5PMF0XWMXMlxBBQhpCvJ5YqSy6WnR04ZQWCEEEJIJRTLhHSJSMaiEOnWSIslhJBuxxg5heRsOG00TVOhYIQQQogBxTIhHW47RC9yNpuXTIYimRBCKsEmYiaTV8nZuu5WgWC4EUIIIRTLhHTwGChUkbEQJIQQMjdw3iDoEJZsJGejwoxAMIydIoQQ0r1QLBPSQeh6eU4yArzQl8wpUIQQUjvl4MOsEskQzagwc0YzIYR0LxTLhHQAHANFCCH2gfaVycmsqjDPzGjmkokQQroNnvkJaXOMMVCwEOLfhBBC7AFOnYmJzHRyNvuZCSGku6BYJqTNLdfsSyaEkMaC1Gyca0Mhv6o205pNCCHdAcUyIW0GLdeEENKKc6+ofmZUl8NhWrMJIaQboFgmpI2g5ZoQQloLJg3Qmk0IId0BxTIhbQAt14QQ4ixozSaEkM6HYpmQNrFcJ5MYBVVq9UMihBAyBa3ZhBDS2VAsE+JQaLkmhJD2gNZsQgjpTCiWCXHgfM9CociUa0IIaTNozSaEkM6CYpkQh1WT0Z88OZlVopkQQkh7WrMxYioc9oumucTjcbf6YRFCCFkEFMuEOKiajKpEJpNv9cMhhBCyRAoFXcbH02rMFM7xnM1MCCHtB8UyIS0mny+ohRSryYQQ0nkgnHGmyqypfxNCCGkPKJYJaRGsJhNCSDdWmd2sMhNCSJtAsUxIC2A1mRBCug9WmQkhpL2gWCakibCaTAgh3Q2rzIQQ0j5QLBPSJFhNJoQQYq0yu5U1m73MhBDiTCiWCWkwrCYTQgipBqYgsJeZEEKcC8UyIQ2E1WRCCCH1VJndbk3dCCGEtB6ejQlpAKVSSXK5gpqbPDGRUdVlQgghZKEqM64duBFCCGk9rCwTYjPFoq5uyWRWBbkQQgghtTI5mRW/v7w883rd4nK5+OQRQkiLoFgmxEZyuaLoelEtdkosJhNCCFkEcCXl80WJRALidruURZsQQkjzoQ2bEFtt13lJJCiUCSGELA2070xMwJZdpC2bEEJaBCvLhNhku0Y1GR8JIYQQu0BLj89XriyjwqxptGUTQkizcJVQEiOELApUkw2hTEi3gB5KtFHiIxbuxr/N9xsfK75T3Q8CAa9kMnn17/JVaOZSZHyu62XXRvlW7d/lj4R0A3ivRSJ+NZMZvcyEEEIaDyvLhCwCLNDRT4bFPnrLCGlnDNFr3DC2Zubz8r8rBfDcAnb2v2ewCtu5nBiG8PZ45hLi1R8LbKu6rk99rPx3+XNqa9LetuyMhEI+dcz7fFzCEUJIo+GZlpBFjPcoFkuSTGbUR0KcDgKCjNmtM0J4RhBDdFYTl9gQ0vXC9OfVBXD9QOOGw35Jp3M2/Cxrldv8t6H6Vin48fiNvxXvX/zbaKXAjWPeiNNJpXLTlWXasgkhpLFQLBNSp+0a46DQQ0aIkzAqwrNv5errjCCcEcFlsdjeAnFGvEP0zv+1ENXmTQJDSGNMj7GJAPA84X1uFtG4sSpNnALew4lEhrZsQghpMBTLhNRhu06n80wlJS0F1VGvV1MVJUMQezzlwQbmKqnRT89q6QwQu+XnZO7n17zJgI9er3f6PqMaXRbTRSWo8ZEimjjBls2ZzIQQYj8Uy4QsgCE4sIvfzhU40t7CGILYEMiGSMNH9MwbxyhZOnM9l6hKmyv2ECbBoE9Vo41KNAU0aaUtG6KZgpkQQuyFYpmQecjny1ZVCGVCGglElyGIDXFsFmKGs4GVzNaA6nFZEOtzbmgYAtq6ocEKNGmmLTugzh04BgkhhCwdimVC5gA2VixAsGtPiN1ACCPNFgLLCKKaEcYFSadp8W0HYH/N5YrqtrCALqpzCr4WHzn2ithvy05LNBqQUkkXj4dLPEIIWSo8kxJSAfuTSbPEMQSTMYKMFeNuENDl1z4cLotnbI5QPBO7QYUZlmzMKed4KUIIWRoUy4RU7MxDtExOZtkDShoqjvGRdJuALqhbMlnugfZ6y8cHxTOxGziiDKHMPmZCCFk8FMuEWOYnI8grS3skqRtD/GAMkSGOcUyhukhxTKr1QNcinssV6nJLCCH1YCTiRyJ+zmMmhJBF4iqxaYoQtSAtFssVZULqrR4bAtkY2WT0pJI5LjwukYGBqBw9muDYpTmfo7Jt2+fDzaM+N8Q1bhxXRWoFx0406p8aM+fmE0cIIXVAsUy6Hiw8MX4H1T9CFgJJs4ZAxuKz3HNaPoY4WqzGCw/Fct3wuCNLBRVmt7u8AUMIIaQ2aMMm0u1BXujtYhWQzIdR3TNX+HDcsMJHmkV5FFVOHXdmR0M47J92NGSz5VFVhFQDzqlAwIurH4O/CCGkRiiWSVeCxWW5PznDaiCpCsRIIFAWyKgYo3KM44UbK6TV4HiEEwY3c698PA4hJOpYxY3HKqkExwyufYDBX4QQsjAUy6TrwAISi4XJyQz7/ogFLB79fq8SHmWBnJdkMsVkdNIWQWGg3OfskVgMs3YhnCGqy0FPhBjXQGz8YR4zWklwI4QQUh32LJOuAsFLsCkmkwzyImWwUIQ1EQIZVToICwgM2F5JY2DPcvPaB4zNH4hl49hmbz0x3odlwexWPfGEEEJmQ7FMugYjpTidzrX6oZAWg55PiAjYrCGWjYA32labA8Vy84FgxqYQKs84zstW7TzdNWS6woxjgxBCiBXasElXwMRrAoFmVNmwKMTGCcKSIBoI6XSMPmYE1GGTCMIZ6cg4N6LibNi4SfcBSzaC4gAFMyGEWKFYJl2ReI1qMsQR6T5gLwwGfUokw1qNCvLEBPrVS61+aIQ0HRz36XRe3dzussMCotnl8qv3Bu6nTbv7QGtSKORTxwd63gkhhJShDZt0LIZQTiZzHKfSpVXkYNArmgabdVkEMOTIGdCG7TxQUTR698sbjHlWm7sQ4xigYCaEkDLcPiQdLZQxV5ICqXtA3x0EMhZ8qCLDUQCLKSFkfnC+LJ8zYdMuV5tFytVm3Fht7g7MrzVHSxFCCMUy6UB0XVdCiTOUuzO8CIu9sbEU06wJWbRNO6duSNMOBHzS1+djCF4Xgf51HAewZVMwE0K6HVaWSUeBKjJGQyUSWfakdjgIKjKqyACL+4mJNNN9CbEJ5DzkcmmVHo++/1gsqDYjYdHGphTpXAxnFhwGFMyEkG6GPcukY4BIhlhGeBPpXBBKhIU7RDLD29oT9iy3L3jfGVkARgWaWXmdCzZKMFrK43GrfxNCSLdBsUw6gny+oGy32AknnZ9qjRE4GPvEfvT2hGK5/UG10bDpltO1c+xr7mAXTyxWnsWMGyGEdBMUy6QjhLKRek06Dy7KOw+K5c7axIJoRnpyefQUNrE4lq0TMQQzqsyEENItUCyTtg8iwQ2VDdJZIFwoFPKrxVnZ7plnH3qHQLHceeB9CtFsOD/wnoXbh3QW0SjOyW61iUkIId0AA75I2wKRjEUZg2Y6Cyy2sehGf1wqhSAh9kQS4nTQEoEJBMlkOVOgpyekHD9ol8BH0hkgPBOCGVAwE0K6AYpl0pZQKHdmcBBEMsACm5sghLQfmNGbTGbVexhBYEjQhpBOpbIqXZt0hmAuz+GmYCaEdD4Uy6TtoFDuvEpyOOxXFmsssuEWIIS0N3g/QzDDjo1ZzUhURi8z3uOsNLc/xlgpkZJ4vVxKEkI6F57hSFtBodw5IBAoHPappFWKZEI6E4yVMkZMGbOaMeYP73n2NHeKYC5QMBNCOhaKZdJWQhnWXFYe2xv0uaGSjHnJSDCn3ZqQ7gCCGRkECO5DTzPO5RDNsG6T9hXMOJ9TMBNCOhWKZdIWUCh3RlouFlXluaw5ZdEkhHRfpRkCGecAZBT09YXVhhk2zmDdJu0HXk8KZkJIp0KxTBwPhXJ7g1RrLKTQm4zxT0jM5aKYkO4G1WRUJXFOQDtGf394useZmrl9BbPLVRCPh0tLQkjnwDMaaYseZVqv2w/0IqNyhERcvH4jI0naLQkhFpCUPTGREY+n7DwJBiMqORsimrSfYHa5ENZY5FgpQkjHQLFMHAvDvNqXskj2qdTb0dGUWhATQshcIOxrfDwtPl850wDnDwb/tXPoF8dKEUI6A4pl4kgolNsT9CNHIgE1TmRiIs0RMYSQusAs5lwuNT1SDvPXIcC44dY+UDATQjoJimXiOCiU27MvGdUEzNtENYgJ14SQpYDWDVwLkJzd2xtStmzYs9nP3D6CORplhZkQ0v5orX4AhJjJ58sLJIqt9sFItMUiFn3JfO0IIXYmZ6OVAz3Nvb1hVXEm7UEiUXYEYK42IYS0K7zqEEcJZfS4MtilvSzXSLYeG0upnkNCCLEbCC70M9Oa3X5g+kEsFlCBjxgfSAgh7QbFMnEE2HmG2MKsTeJsaLkmhLQCWrPbWTAHlWDG9YMQQtoJbvMRR1QNcEOPE2kPy7Wu03JNCGk+tGa352uG8WDYFIcTiRBC2glWlklL0fWyUMaFlDgXWq4JIU63ZqOCqesUY04EIhmvTzQaUNcTVJkJIaQdYGWZtPTiCes1hbKzwUI0Hg9KJpNjbzIhxHHW7NHRpBLPCACDaCbOBBsZCGxDNgkhhLQLrCyTlgllXDCx00xbljPB7j+qAKj+lxejrNgQQpwHnL1o44FwxjkL1WZWmZ0JNshTqXI2ic/HJSghxPmwskxaJpSxuKFlztnV5HQa1eQ0hTIhxPHgusIqc3u8ThgxiDGRhBDidFwllvVIk8EFEjvLtGI5u5qMygyrycRu9FJJtuWSooc8oqUKcpwvLBr7F0mDzmWwZ7PK7ExgmYcLgBVmQoiToVgmTRfKmKPMHWVnVpODQa/qKeOsa9II/poal1vGDshoMT99X6/bKxf3rJInh+J80omtYA8G5zW/v3xeQzWTOG/Cgs/nFq+XlmxCiDOhWCZNAwIZPWVcsDgLj6dcgSmnldJyTRonlK8b3j3nf39z/3oKZtIQWGV2NpGIX12H8DoRQojTYM8yaQq5XFHdKJSdBaouPT0zSde0XZNGWa9RUZ4P/Hd8HSF2w15mZ4P8EtjlcSOEEKdBsUyaslApFIoqLIo4A7dbk97ekNrJRyAObdekkWzNJi3W62rgv+PrCGlkYvbERFpZf2OxgLJpE2eAvnKsE5CXQQghToJimTQU7BTj4od+MeIMEKgCoQxbPKvJpBmMLyCU6/06QpZaZRZxqbnMHg+XQc4SzDrHSRJCHAWvEqRhoAfWSCIlzgC9yegPGx9PSzLJSj9pPPmSLn9Ljdf0tXG3t+GPhxBUmVFhhtuppyckwaCPT4qDqv+clEEIcRKMHyQNAxc8CGW2ITrDdh2LBVWVf3Q0xfnWpCnszaXlhpG9sj9f24bZ1sykbPaHxUV/LGkCaD/BdQrnRiQyT0zgesW++VaCDXajZYsjpQghToBp2KQhcJays2ZZopqM2da4EdJoENT1y8mjctvYISlIfeLj+ZEBuahnJWcvk6aBvZlIJKAyHLDBy8pm60G13+/nSClCSOuhWCa2g9TrbDbP5GsHLABhu8ZIDi4ASbMYKeTkyyP7ZEt20nJ/WHPLaYG43JOZkAm9MH2/36VJtmQN9XlaqFde17dG3KwwkybCjUVnEY361fxlOKMIIaRVUCwTW0GaJXbl0XdEWgdCa2AtRFhK2QpPayFpPH9OjcnXR/ZLqlS03H+CPyLnx5ZLxO1RVefd+bToQbdo6aKs9wblr+lx+eHEYUsN+gmBmFzev058GhfKpNktKwHVqoJzJz6S1oHrGCr+msbockJIa6BYJraBRUU+X1B9X6R1BINeNT8ZCeQcCUWaQUovyjdH98sfU2OW+73iknNjy+S0YNzSh4x/IokYqcTGPs4D6Qm5dfygmGX28f6wvHVggwQ1N19I0lTgykEfMwQz3FKkNUAk47WAYGaWASGkFVAsE1tA5RIVZQaktBZjUYGkV1SVCWk0j2Ym5Usje2WkYuzTGm9AXhFfKQOe2UnD1cQy2JZNKtGdN9WY13mDcvXgRom6mUdJmj9mD73MCJxi3kNrnVLYAGbgFyGkFVAsE9sCvWC9RpIlac3uO+xq2LTghgVpBoWSLt8fPyy3J45Y7NMwTZ8Z7pdnR/rn7DmeSyyDPbm0fG10n6RNfcwrPH4lmPurCG9CGm3LjseD09MdSOs2LtBTTsFMCGk2FMvEFqEMuy8+ktbsumMxl82WNywIaTQH8hm5fniP7K0YCdXn9sqF8ZWy1hec9/vnE8vgcD4rN43ulYQ+Y3/tdXvlmsGNstIbsO8PIaQGYP+Nx3HcuZRrh33MrSEc9qnAL7inCCGkWVAskyWBHmX0c9Gi1hoCgbJNECI5k7HaYAmxG4Rz/WpyWG4dO2ixSoMnB+NybnSZ+GsI5FpILBup2jeO7pNRk707ornl7YMbZYMvtPQ/hpA6wQg+VDjHx9nm0ioQvoYJD0zIJoQ0C4plsmhguaY1rXWghwu2NFQ6OBeUNJqxYl5uHNkrD2WsI6FCLrecH18uJwWiNf+sWsQySBQLqsJ8uDAzHzzg0uQtAxvkhEBkcX8IITaMl4IlG24e0lxw7jASshn4RQhpBhTLZFGgNxYVZQg10prFAvqUUeGgJZA0mr+mxuWro/skabJFg+N9YXlZfEXd4Vu1imWQ1ovqd5st3x5xyZsG1skTgvH6/hBCbABCDedguHkwdYA0F7fbpRxV7F8mhDQDimWyKNCfzBmUrZoBGpRisRw2w/HJpJFk9KLcPHZAfpcctdwPsXpObFCeGuxZVHWnHrEMcrouN4/tl2251PR9MHu/rm+tPD3cW/fvJ2SpYLMSWRHYrMSmMc/FzQVjvYJBHwUzIaThUCyTumGgV+sWB9FokGNMSFPYnk3Kl4b3ypHijAUarPL45cKelTLo8S/6Z9crlkGhVJLvjh+UBzIJy/0X96yS50cHFv1YCFnKcYxzMjYxIZg5DaL5gV+oLqOHmRBCGgUHV5K6wOxeLAiYfN1cgkGv6lFmnxxpNBClP544LD+ZGLJEeKF+/KxwnzwnMiCeRVSTlwp+J5K20bP8l/T49P23jB2QSb0gL40tZw8jaSrY6IFIhmjr6QkxP6LJJJM5cbsR9lXie58Q0jBYWSY1wz7lVgZ5MYGVNJ5D+azcMLxHduWtWQQ9mkde0bPSthTqxVSWzeehX04elTuTI5b7nxPpl1f1rBKtBUKeEKRkR6MBbmi2wA6P5539y4SQRkGxTGoG1WSMKKLVrHlgEYAwmbGxFIO8SMOAAIX4/PbYAclVqNcnBmJyXmyZBLTqVkdoU/Qtlz+iAq3+b+o+436rgMWngYBPMpncLLGMx4L7yh/xD/yvfJ+ul+8Hv02OyM8TRyzfe3qoR17ft7YllW9CjOCvVCor6TRH+TVzowIp5RTMhJBGQLFMap6njIs/R2U0D4THQGQg8doQCITYzXgxL18Z2Sf3V/QCB12avLx3pTw+ElfVG03TlMgt/xsiWFMfDabFrenfZYFr3Gf9vVjcVs4GnxbcVYS2cZ/55/9+7KjcfGifxS7++FBMrhjcIF5xcYOJNB2PR1Pn7kymwKTsJoJxXl4v+pcXnvNOCCH1QLFMFsToUUZVmTQeCAIstiAGmLJKGskD2YR8+eheSejWebEnhKPympXrJO7xKsGp6/p0VXfmc3MFuPbfqY5ryYk37JV8Mi8x8dXVb2gIaE3DR00eyiTkG0f2SdEkmU8MR+U9m06UqNerzl/Vb9yAIo0bbRSPhySfL08tIM0BVX0EYXL+MiHETiiWyYILW1zwUd0kzRpHEpJCgYssYh+otiAxFh+R3JuXknzl0G65/ehh69eJS86OD8rpwV4V6GU3R/WM7NAhlfXp+3yiyTFaTAa0wKJ/7o5sUr4xtt9iIV/rDcg1yzdJr9cvHo9L/d3mG4BgNsQz3nNGgCEhdo2WwjGGTU/SePC+RoWZdmxCiJ1QLJN5YZ9ycy/0WFzB6p5MsopPFgdEsddrFcfY9IIQxG1rMiGfO/SYHM5bj7EVGAkVXynLvYsfCbWQUH5EH5vzv5+o9SxJMO/LpeUro/skXZoRu8s8PrlmcJMMeHxVxYwhnI3nCc8ZKtfl5wriuSj5PAU0WRw4llDtLLfTpDiLuUn9y5geAUs2IYTYAcUymZNcrijZbH5WXyFpXDBMOp2TVMo615aQuYDAw7GDm1kYQ+AZlVJ8hGW6WCrJTyeG5EcTh0113fJIqGeEetWsYo+rMf1+eEx/Lh6xVJQr8YsmT3EPLslCOVTIyk0j+2TCZCvvdXvl6sGNsspbmxA3xLOx2VApoOG0wc3oxSZkIWKxgDqu4NDicdN4jOqy4SAhhJClQLFMqgIrIvutmgMu6lhMoSecGxOkVnFs9OYZ4s0Qx9UW4xCRNwzvlZ25lOX+GEZCxVfKJr89I6HmYkzPygP66IJfd6rWKz3a0irbo4W83DS6V4aLM5t8Yc0tVw1sXPTfiR7Usnie2ZjA8wznDcUzqUfAQTDT6t944NLCe5X9y4SQpUKxTObsU2a4VONBIjAWUXiuUcknpFZxjOMFAnmh9/LvkqNy89gByZrsyeBxgai8OLZcgnOMhLKToWJKHi1NLPh1m7W4LNOCS/59k8WCsmQfLMxYzf0uTa4cWC8nBaJL/vmoNJdfF8+0eEZvKqYGUDyTuQiFfBIM+pRgXui9S5YG+5cJIXZBsUxmgWoJemZRpSKNA31VoZCfCydiAeILfXeoQqGvth5xbCZRLMhXR/fJPWmrSA24NCWSHx+MNeWZL5Z0ebg4KmOycDvHKVqv9C6xsmyQ1ovy9dH9sjuftgSYXda/Tp4cioudVBfPusofwPmU51Ji3iANh8sbpHhfk8Y+134/5i83fkOQENK5UCwTC6iMYIGHmcqkGUI5xYV0l4NqMRZzEMgQW6gGQ2DhfbjYxfQD6QnVuzteMRJqgzcor+hZKT1urzSDZKkgW4pjkhLr45iLHvHJSe5ecS+hb9lMrqTLt8YOyKPZ5PR9+Mn/0LtGzoj0SaPAw8dmh3EzXtPyjQKp2wkEPBIOByiYm0A0GlDnV8yJJ4SQxUCxTKYxFnQTE5wL2Uhgw4Mdj0K5uy2CEFF+f7kPFpVHQyAvpZ8xq+ty6/hB+dXksPX3icjzo4MqyEuzSYguxGE9Ldv18XkivaoTF68SzHaFjSHY7LvjB+X+TMJyP5K/z4oNSjMo2+jxepfdAhDMhnhm4FN3gmMBQg6WbFaYG59IznFShJDFQrFMpsHCLZHIcPHW8J4175T1mjb3bgIiCZZAVJUglu0WTLtzKbl+eK8cMvXpGuOTIAxX1pgGbYc4xSzlwyXrbFmvaDLoCsiRUkbyJgkNa3RRSmJ+BiLikVPcfeK1STDrSAJPDMkfU9bRVedGB+Vl8RVNDQGa2SjxKLs2hBKC/XAcmMZEky6Agrk54P2G6y4FMyFkMVAsk2n7dSaDG+3XjRbKY2NMQ+0WoMEgkMsWa3dDhBGE4M8TR+T744dmVXGfFuqVF0YHbBOdC5EqFeSRKrbrmHhloxZV1WI4WCYlL96gR/LpgkTEq75+mz6hRLNBSAnmXvG77Ok3xO+9Y3JYfpW0Vt3PDPfJ3/eublrFffYGCoSzVwlnOAuMPmfSXYKZIY+NheOkCCGLhWKZ0H7dBCiUuwtUMFBBxkc4CMrzyiGQ7S0dHi3k5Esje2WbqScXRDWPXBBfIcf6w9IshpTt2ip4wSpXSFa4gpbqLf4ZjwVlfCI9vWmQLhVkqz4uBdP3B8StBHPQ5bHtcf4+OaqqzGZOC8blDf1rGzZnutaKM4QTQonwXBnHDFOTu2d8IC3ZjYN2bELIYqFYJrRfN6VHmRXlTgeVQSN9FaIYFWQIHowUshv8fFiKvzG6XzIVI6FO9kfkpfEVEmrCSCijsg3b9aEqtmtUk6Ou2WFi1cQyyJSKsk0fl5ypRu4TTQnmcJWfs1juSY/L9yoq8ScHInJF/wbxOyAICH3s2GwxH0u4sb+5c6Elu/Eg6AvXY9qxCSH1QLHc5dB+3ViYet35QNQEAj4llg1R08h+dMwQxkiku9PjlvsxR/i82DJ5YiDWtB7c9JTtOllhu45O2a7nsn/PJZZBTgnmCclI0dLXjB7masJ7sTySmVRJ2eZK9jG+kLxtcIOENfsq2fa4FMrjb9DnnsnkmKjdoVAwNx7asQkh9UKx3MWgSgGxzPTrxs7TZOp15+F2u5RAxmus67oatYYqcqMDmh7OJOTGkX0yWrRmC6zDSKj4Cunz+KRZHNUzyjZdabte6QrJygrbdT1iGeRLuqowp02C2S0ulZLd47Lvb9yZTck3xvZL1lSdX+0NyNWDG5s2Xque/mYcb7gBHHPYmLHb2k9aL5gjEY6VahS0YxNC6oViuYth+nXjoFDubBsfwrrK88hzTUk1h3i8beyQ/GLyqOV+1G2fGxmQZ4X7mhZQBdv1Y3pCDpRSlvtR/UU1OVaDmF1ILINiSVc90JOmqjX+3hO1HunT7Ev23p/PyFdG9kmqNCPMB90+uWbZRhn0+MXJ6b7NPg5Jc+D1o7HQjk0IqQeK5S6F9uvGwbCWzly8IqQNoJqHql6zKnp7c2m5YWSvEnVmBtw+ubBnpaqENouMsl2PqzRrqRj1tEmL1Zy6XYtYNvdDT5h+H7YENmtxGdSCYhdHClm5aWSfjOszwjyueVSFeY3Pvt/TiFAwiGYcnxDLqRQs2kzS7hzB7OP0hAZBOzYhpFYolrsQ2q8bByo98XhQWdu5aG1vIOhgtUY4G94zECKo4jULCMVfJI6qICpzXy04PdQjZ0UHxdfE9ObhKdt15WNB0jUSr+vpk65VLJsr2WOSs9x/rBaTlVpI7GKsmFeC+Whx5veEXJpcNbhRjmliqvjij1Wvcj1gE6fZxyppDNigw+s6NpZiuJvN0I5NCKkViuUuhPbrxlV5enpCkkxmOa+6jYHog0CGUC4Wi1PVuhmLbjMYKeTkyyN7ZUvFSKiw5paXx1fIZn+kaY8FYnWXnpD9FbZr95TtOr6IHuJ6xDKAANxdmpThUtZyP37/Gs0+IZvUC8qSfaAw83t8LpdcObBBTg5Epd1cEDh24YQg7V0BxSYsBDPb0+2FdmxCSC1QLHcZtF83LnwHQhkLUyxQSXu+hkYlB+IYr2MrZtz+OTUmXx/Zb+mhBSf6I3J+fHlTk5qzpaJKu05U2K7DynYdFZ9rceOp6hXLhmDeV0rKUMlqR1/rCst6LWJbAnhGL6q08V35tGVj4LL+tXJaqEfaKSgKxzOO61QKYWA5iq02JRYLCiaajY1Zx7ORpUM7NiFkISiWuwjarxsDFukQytiImJy0Vr5IeyRbh0J+JS5gXYVILhabH5aU0otqbvKfUmOW+73iUiOhnhyMN20kFBjRs/KoPjbLdr3cFZTVddqu7RDLhmA+WErLwYoqN2zgEO92PT8IVPvW2EHZkp2cecwi8pre1fKsSL+0W/UMotntdivBjOObFcr2o6cnqK7hnF5hL7RjE0IWgmK5i6D9ujFAKENcJRLWihdpn0qy4QjAYrQVPJqZlC+N7JWRipFQa7wBeUV8pQw0cSQUBOkufVJVcc2gurpBi0iPa+kJ0YsVywaH9fSsx7fMFZDjNfs2FIqlkuoXvzczYbkfNvhzooNN3biwA4/HrQKj8BHp2XTAtBc43MqbskVuytoM7diEkPmgWO4ScIHFHFik+BL7QJgXGB+nPa6dFp0QyQhDKleSs1IstkYko4L5g/HDcnviiKV+i9iuZ0f65cxwv7ibKMpgu95SHLOkT4PQlO3av0jbtd1i2ZjzjD5mM/0uv5yg9dg2Rgv92j9LHJE/pEYt958VHVCbGO0mmAH6XzH/vWzPZk9zO8F2n8YRjQbUJAs8x4QQYoZiuQtApQhimYLO/osrQr3Gxxm80i5AIEMooxcZQWytnE2LUVA3DO+RvRUjofrcXrkwvlLWNnlk0aiyXY9LXvRZFdvVrrCtc5ztEMtgtJRVSdnmH9Hj8slJWo+4bUoKx/nz18lh+b/JYcv9Z4R75TW9a5q6mWEnEAaoNMNgjg0jpme3BwySbAwQyYZgJoQQMxTLXWK/RgUBgpnYAyoz6HEdHYVQbk1VktSfEAybNURyK98LqFbeMTkst44dnNUPjL7kc6PLxI80nyaB43ePPil7qtiuEZzVa4PtulFiGYyXcmoWs/nHxMQrJ7t7xWPjaK0/JkflJ4khy+95UjAml/Wvq3m+tBNx0nuD1IbHo0k8HpLJyQw3OWzeTA0EPKpVgRBCDCiWOxwsgHK5vCQSDJ6yi2CwvLiEUG5VjyupvRcNGxtOqZ5hlu+NI3vloYzVPhxyueVl8eVyYpPHE+Vgu9bHleC0PB5xyyYtZpvtupFiGSRKedmuT4hukrJI7D7F3bvoxO5q3JeekO+OH7TU3pFSfuXAeglo7g44r/mV6wJBha0IuSP1nduQkg3HGDc47G2tQqtCO7ZYEEIaA8Vyh8NQr8YsUDDzspUWXrKwpS4SCahFj1PmXv81NS5fHd0nSd1auTveF5aXxVdI1N1c+9+YnlVCudJ2PegKyBqbbdeNFssgVSrINn3cUq0PiltOcfdJwEbB/Gh2Um4ePWD5PRt9QblqYKNEmvwaNqaf36+EM/ItsMFE44yzXQGw0nPj1j5wzcBmOO3YhBADiuUOhqFejekVo/XN2WChgxsEMoRyqxf7ab2oxNXvK0KiMBLq7NigPDXY09QqBmzXe0tJ2a1bq9sabNeuiPRp9tuumyGWQVoJ5gnLBoBfNCWYQy77hOyuXErNYs6UZn7PKo9frh7cJL0er3TCuQ7zZ2H3RZW51Y4MMjdwzmATFxu4rT7XdQoM+yKEmKFY7lAY6tWIsR1hZWlPJq2WVeIMsGBENRnWeGxoOKHyvy2blC8N75WjResxA2F1Yc9KGfQ0XpiayZV02aqPyWiF7To4Zbu2swLbCrFsJHqjwpw1CWavaHKqu1fCLvuE7MF8Rm6qcAr0u71yzeAmWe5t7uvaKJDLADGm6xiNR2u2k63DuOZzBrM9MOyLEGKGYrlDYahXIxYjIhMTHBHlNJxouS6USvLjicPykwlrIBTqx88K98lzIgPiaXJPHPqSMRYqV2G7HnD5Za0r0lDbdTPFsjGSa6s+LhkpWgLL0MMcc9k3s/poISc3jeyVMX2m8hrVPHL14EZZ1+Q080YCqy/Cj2jNdiZ4P/X2hqfnxZOlw7AvQogBxXLHhnoVJJGwjqQhi4M2N+fiNMs1OKRGQu2VXXnrxkqP2yuviK+QDb5QUx8PKk77SknZNct2LbLOFZF+LSDNptFiGRRKurJkp6RgsZpjrFSvjVbziWJeVZiHCjMiJejS5G2DG+U4f1g6BVqznQ3bhOyHYV+EEECx3IEw1Ms+MEYiHA7I6GiSydcOAr2U6CuD0HKK5bo8j3dEvjN2QHIVCvCJgZicF1vW9MRko8I6UrKm4QeU7ToqQRv7eJ0mlkGxpMsOPSEJmXEboH5+gtYjAzZuEqT0ogpv22eame1zueRN/evlccGYdBIIPkI/M95zeO9xIoBzYAClvTDsixACKJY7DIZ62QdmLfb0cDSHU6vJsBs6xXI4XszLV0b2yf2ZhOV+VBhfGl8hpzR5JBSYmLJdm3t3Qf+U7drdwtEozRLLxlzrnXpCxsV6rByvxWW5Zp9VOqvr8o2x/bIzl7JU7y/tWyunh3ulk8Drh9YHCGcGHjrPPow0cyRkYwOPLA2GfRFCKJY7CIZ62dsH29sbUmFeTuiBJdZqMloMnDIH9t70uBLKiYqRUMf4QnJBfIXE3N6mnwcOlFLymJ6Y1S8N27WdFdV2EMvGc7KrNDmrwn6MFpVVWthW6/e3xw7Kw9lJy/N+Sc8qeU50QDoNI1SPVWZngfMkbNlIyCZLg2FfhBCK5Q6CoV72gRFRhUJRjU0hrceJ1WRUEr81dkDuSo5Y7veIS14YHZS/C/U0NTTLEGuwXQ9XiEK/uJUwbJXtutVi2RDMe0pJOVqyZjms1yKy1hW2bXxXsVSSH0wclr+lxy33nx9brqz4zRwT1gxYZXbyNaxslSdLg2FfhHQ3FMsdAkO97N6Vd8nYGJOvW41Tq8k7syn50sgeOWwKdQIrMBIqvrIlo4MSpbyyXZsToEGfyy/rXGFxu2AKlq4Vy4Zg3l9KyeGS9b29xhWWDVrENiGL33N74oj8tmK29vMjA3JRz8qmb6I0A1iyo1G/5PPsZXZKRRSCOZ3OqRRzsjQY9kVI90Kx3CEw1Mse0OuFXWT2e7UeJ1aTUTX86cSQ/GjisKUTGNLnGeFeJYY8TRalEGYHSynVl1tpu0bFdMAVcFw1s1Vi2eCQnlKi2cwKV1CO1WK2Cma4Dn4xedRy/9NDvfIPfWta2jPejCozNrdwXSKt3WyEYMbGL5xSZGktB1gb4NgmhHQXfNd3AKi2IdiLqaRLX1hgTBQWFgxGaX2PGD5i08Ip1eShQlaNhDIHOIG45pEL4itlk7+5I6HM45EqrcV+0WSTFpOQQ2zXTmOFFhJNd8neUnL6vkOltBT1kgr+sqPyC9F9ZqRfgppbba4YewK/T41KqlSUN/avE6+Dqv12YDhAylXmgGSzebaytBDYsDFSLxYrT3Rg3tfiyeWKEgiU1NrAaZuPhJDGwspyB4Dd+4kWVWg6BVz7envDyq4G2xpp3agOLOywMHHKnHAsjn6bHJVbxg5ItmQV7o8LROXFseVKEDWbySnbdbrCdt0jPmUpdpLt2mmVZYNhPaOCvypt6xgtZWfl94H0hNw6ftDySp3gD8uVAxtacuw0A2x2xWJB9VpPTDinhaIbwTkV4HUgS99QZ3WZkO6CYrnNgbUqkylQ4C0Ro5I5Ps4+5VYRDvskEPA5ahRNolhQ83PvSU9Y7g+4NCWSH9+CGboQ76iC7tAnZtmu0Xs76EDbtVPFMhgrZWdZ2OMun5yk9dhqqd+WTco3R/dL3vSb1nuD8vbBjRJ1d64DAOIiEPA66n3dvZvB7F+2Y63g93scf44lhNgHxXIHVJUp8JYGFnLojWWfcmtwagUK1cAbR/bJhG5d4G/0BZXtuqfJI6FAccp2faTCdu1TtuuohF3Nf0ztLpaNmdTYfDAfeRHxyinuXlut0ntyabX5kjE5FBAKd83gRunz+KST+z0hMpzkGOne/uWUsmeTxYGRXJEIq8uEdBMUy21MoYCKcoFzgJd44cM8ZWw4oO+bNBcn9jZiJBQss7+aHLbcD7PsC6KDKqCpFWnGyVJeHqliu45P2a6bHSzWSWLZsLVv1yekaKr8hsQjp7p7xeeyzyp9KJ+Rm0b3yaRpLnef26sE8wpv62dgNyOLwEmbYt0EAqoQYsn+5aUBsez3e9WxTAjpfCiW2xhWlZcOhDKsgU5JW+4mnGjP3J1LyfXDe+VQwSrcl3l8aiTUyhaJmcN6Sgm5SnkB2/WyNrBdt4NYBqlSQbbp41IwCeaAuJVgDtgYljZcyCnBPFqcGekT0dxy9eBGWe9rflBcK1Lu8b5HCxFp/ggkhIGywr/0jR/2LhPSHVAstymws6H/iKM5Fg/7lFsnlGC7NnrEnZDirpdK8vPEEfn++KFZgvRpoV55YXSgJcnFGFUFe3DlXGDvlO060ia263YRyyBTKirBnDMdCbC5n+Luk7CNghn98DeN7rXM6kYv/FsHNsjmQEQ6P8gvqFxRSGsmzQMba9gkxgYxnn+y+IwNVJfhTiOEdDYUy20IAn4glpGATRYHAjpgpUKfshPEWreAhQUqGwimQ2XDCULpaCEnXxreI9sqRkJF1UioFXKsP9yyKids1ymxVt9i4pWNWrStbNftJJZBrlSUrfqEZE2Wd4+4lGCO2rhBkdaLqod5bz5j+T1vGlgnTwjGpZPBZplR5eQ0h+ZvVuC5d9JovnbcdEDKOKvLhHQ+FMttCKrJ2BVmj+3iBRuCThKJtNp0IM0M+QkqR4QTbO/YdPpjaky+MbrfErgETvZH5KXxFRJq0VifIT2tgrx0S0azyGpXSJa7gm1nu243sQzyKkxt3NIj7haXnOzuVWnZdpHTdfnm2H7ZbtqswTbI6/vWytPCvdLJ4DiAw8ftdivBTOHWPGCFx6YxBDNZ2nPo8XTm+DdCSBmK5basKmOuMhNFFwssaHgOk8nWC7ZuCpaBbQ3VZCf0J08WC/L10f1yd3rccr/fpcmLYsvkCYFYSwQpbNc79Qk1GqrSdo1qsp1VzVbSDmIZFEq66hVPmqr7ELInar3Sp/lt/D0lFSr3YCZhuf/inlXy/OiAdIPowDmCG5jNhf3L9jyHrC4T0tlQLLcZZZGX5eiHJYRKwYKG8RmkOaByhOcclSMnjCx5OJOQL4/slbGiVbSv8wblFfEVLRvhk56yXZuFmWG73qBFW9Iz3e1i2byBMSEz/Z3YRtms9cigFrC1b/6HE4dnbeC8OLZMXhJb3vZugoVAhQ7nClzf0mn20jbLCo/5y9jEZP7J4kBIJW64xhFCOhOK5TYCvV24oDHFcmlzJtmn1dz5yQBBXnBFtNpW+92xQ/LLyaOW+yFBnxsZkGeF+1oyEgoc0TPK8mseWwRWuUKyogNs1+0slg0h+5iekDGxulGO02KyQrMvvRrvkV9MHpW7kiOW+58b6VdV5lYdn808R+OcgRYjXueam98xMpJq+Tm6XWF1mZDOhmK5jTCEMgOpFgd20DOZHKsWTQzycsqid28uLTeM7JX9piAlMOD2yYU9K2V1i0ZCQYTt1BNysGR1OiDkCWnXURt7Y51Eu4llACGxuzQpwyVrejNep9WavSFwv02OqHR2M6eHelQfs6fDBTM2hnDuwPPN4K/mgKAqvA+dcK5u1w2HQMCncjkIIZ0HxXKboOu6mknJMRuLg/br5laH4vGQI4K8IEZ/kTgq3xs/ZJmda4iPs6KD4muRvTkzZbuerLBdR8SrBFgn2a47QSwDCLh9paQMlayiYp0rLOu0iK0OgLtTY/KDicOWo/Zxgai8qX+9+LTOPTYMUGF2u50zXq6TwXHb10c79lKPV4jlTnMBEUIoltsGVpUXD+3XzQOLBSwaJiezLZ/hOVLIqd7kLdmk5f6I5paXxVfIZn/rZtke1TOytYrteqUrKCtdoY5fcLWrWDYEM5wABytC2GCZxyaHna/dQ5mEfHvsoOU4Oc4fVrOYW5XU3kxgD0Z40vg4Rhy12YHSZtCOvfRrH4LqvF77ZrETQpwBK8ttAHbVs9m8EiCkfmi/bm5AD5LaWx0W8+fUmHx9ZL+kStbRYCf6I3J+fLmENU/LKt279ITsr2K7Rtp1rENt150klg0O62lVZTaDsV7oY7ZTMG/PJtVoqZzpiVrrDcjbBzdK3N0Z6ejzgRR9BCihwuyEgMBOhnbspcHeZUI6E4rlNoBV5cVD+3VzwNgX7Kqjx7CV879TelHNTf5Tasxyv8/lknOjy+TJwXjLqraZUlG2FMckYUpVBhHxKKHsc3V+pbCTxLLhEEAfs5l+l19O0HpsDeNCz/1XR/dJ2jQPfLnHJ9cMbpL+FqW3N5Ng0CuhkL/l55fusGOHJJHItnzDs103jHGssrpMSGdBsdwGlj/MpWXwRv14PG7p6QnK6GiSFr4Gb0gEAp6WV362ZCaV7XqkaBWja7wBuTC+sqWiYkTPyKP6+Ky+aVQiV3eB7bpTxTIY0bPyWMk6H7nH5ZOTtB5x29h3fjiflZtG90lCnxExvW6vXD24UVa1KKCuFc4Vp8xq71Rox14arC4T0nlQLDsc7O7Cfl0s0n5WL7RfN2+GMuZWtyqEByOhfjB+WG5PHLFIUciUZ0f65cxwv7hbJEZhu96tT86y67qnbNfxLrFdd7JYBuOlnOzQJyzHH+Zjn+zuFY+Ngnm0kJebRvfKsGlDCD34Vw1slI1++0ZYORWca5CJkEpxFnMjoR178XDuMiGdB8Wyg2FVefHQft2cBZWmaS2doYxRUDcM75G9FSOh+t1eeUV8paz1lec8t4LslO16osJ2HRaPCoLqJtt1p4tlkCjlZbs+IbpJMuO1PsXda+trPVksqArzocJMhoXfpclbBjbIiYHWhdY1N20/qEYAtjptv1OhHXtpsLpMSGdBsezwqnIymZNCgT1a9VYfcLGi/bpxoLqjaRjrkmqJ2EHF9o7JYbl17OAsa/NpwbicE10m/haO1xnVs7JFH5v12Ja5ArLaFba1n7Ud6USxDJKlgmyrSDkPiltOdfeJ30bBnNaL8rXR/bInn7aExF3ev06eFIpLN8xxR4sNBXPjoB178aBvGRVmtIIRQtofimWHgkodxDKShUl99PaG1NgiLKRI5wnlsWJebhzZKw9lrMFKIRdGQi2XEwNRaeX7FrbrvVVs1xu0iPS4/C17bE6iU8UySCvBDD/BTOuMXzQlmIMu+1LYcyVdbhk9IFtzM8catmD+oXeNnBHpk06Hgrnx0I69+PNbee4yx0gR0glQLDuUfL6gLGa5HKvK9aYyI2xqdNQ6mofYAyr2sOi1Sij/NTWuUoGTuvV9cbw/LC+LrZCou3WLkxxs1/q46l81E5qyXdtZWWx3OlksGxZ8zNHOmQSzVwnmXgm77Bv3VCiV5Lbxg3J/xhowhkC7s2KD0g2CGeckbI7Skm0/2BRF9gdTyOsH0yFQXcYxSghpb/gudihYQFIo139hx0xOjL0g9oOd8lYJZdhOvzy8V64b3m0Ryl5xyYtjy+Q1PatbKpTH9Kz8rTg8SygPugKyWYtTKHcZ2BjB6x6QmQ0SVJrvL47IRMUxshQ8LpfqzT891GO5/zvjB+W2sUMtyxJoFgi+xPkIogTihNgLQhsRphaJ0BFTL3C21RrMmsvl5EUvepH86U9/mvNrHn74Ybnwwgvl8Y9/vFxwwQXy4IMP1v2YCCGLg2LZoVVl7JST+sAFHSNF2OPdWdbrbdmk/MehbfL71Kjl/lUev1wxsF5OD/W2bPQSxMgefVIe0EcttltNXKqavE6LdH1/crfimxLMcBYYoIf9geKo2lyxC/S/vyi6TJ4d7rfc/9PEkHx9dL/q7+9kisWSChksz2KmYLYbo50Jzy+p79qAUYq6Pr9gzmazcs0118i2bdvm/JpUKiWXX365nHbaaXLbbbfJE5/4RHnjG9+o7ieENB6KZQeCtQ3nSNYf6uX1etSYLdKI1OvmC2VYTL83fkg+MrRDjhZnqnGQxWeG++Ty/vUy6PG31Hb9oD6qepTNINDpRK1Hetmf3PVgbNTxWkwiJsGMtGwcN8O6fXkU2Cx6fnRAzo1ardd3Jkfk+uE9Uih19uhBVPDGxiiYGwWuq6GQX10HSO2k0whonfu9t337drnoootkz5498/6cn/70p+L3++Wd73ynHHPMMfKe97xHwuGw/PznP+fLQUgToFh2GPl8kUJ5EUQiAWUX63TbYSvmKJfHQzVXKB/KZ+RDh7fLTyaGLHnSPW6vXNq3Vl4QHVQW1FYBu/U9xWEZq7DUDrgCcoLWIwH2J5Mp3C5NjtPiEpeZyhyO6Yf1MRnSZ9Ks7eDp4T65IL7CcmH/S3pcPnt0t2QXqHB1jmAu94oSe9clCBzFSEZSn40dxyU+VuPPf/6znH766fKtb31r3p9z3333yZOf/ORpBxU+PulJT5J7772XLwchTYBRfQ4DYo8W7PrA4gjLT6ZfN2ZWNcLSmiWUcfz/Ojki3xk7ILmKX/rEQEzOiy2TgNa6oCw8vn2lpOyqqCZDnKx3RaRPC7TssRHnAqv0MVpMHislZNS0wfKoPq6s2au0kG2/64nBuNqs+dbYgenRZQ9mEvKJIzvlbYMbJKx5Or6HOR4PqfcqHVr2kUxmVdgXrgkQz6Q2sC5ByFe1ZOxLLrmkpp9x5MgROfbYYy339ff3z2vdJoTYByvLDgK9tti9JfWHetF+3Yg5kR4ZG4NQbo5SHi/m5TNHd8k3RvdbhHLQpcnFPavkgp6VLRXK+ZIuD+ljs4RyYMp2TaFM5gPVoI2uqHIfmNmhT8jeimNqqZwYiMhre9eI3zVzid+RS8lHhnaq0WudDGyviURauWIg7Ig9MOxrcRiV5aVcR9PptPh81n58fI5gMEJI46FYdhA4obI6urhQL+5024ff71H9aQjNmcs+Zjf3psflvYe2zhqBc4wvJG8d2CCntHB2MkCC8d+KR2W0ZO2J73f5lVAO2Dg/l3S2YF7nCstyV9ByPzZgHismbN2Y2uQPyT/2rVXzxw325zPy4cM75Eihs7MdMEkikcioYEKPh8scu2DY12Kft9yS1ijoV64Uxvg8EKCTiZBmwKuIQ0BiIlOc64OhXvbj87lVRQZzNecLJrGLjF6Ur47sUz2VCdNIKI+45NzoMvmH3jUSc3tba7vWk2rkj3lmLjrHNrgiskGLMu16DseHx+0Sr0dTN5/XdPO51Q0Y/zb/d/U9bk3cmqtlKeeNBH/TaldIVrms1mvY+7frE7YK5tXegFzWv1ZiJuv1kWJOPnR4h+zP2Rcw5kSwiYocC8xhZjCVfTDsq35wLV3K23r58uVy9OhRy334fNmyZYv/oYSQmmE5xEEnU1aV668qM9TLPlCBiUaDMjGRaUqlfmc2JTeM7JGhgnXHfIXHLxfGV8pyb2vDZGC73qqPy0hFNRm2a4yFCnZhNRmiA4G4EHwu/BuCVqY+Tn9e/u8YWQThZywSq4lAj2em6lnWxUaATflnoNdX/Ywp501Jh6URCQWlqc/LvwMGiGa5IOwAf9tKV0jcukv2lpLT9x8qpaWol+R4LW7bJgwS4y/vXyc3jeyVo1MW7HG9IB8+skOuGtggx/jD0qngmoqAwp6e0FT2QvscI+0Q9oXqPamNbBbHIjb5679uYLby9ddfr45fnDvw8W9/+5u86U1v4tNPSBPovtWeA1GLPb18I/WEes3YwsjSQAAJQnEQ4tLovvliqSQ/nRiSH00cNtVqyzLpGeFeeX5kQI3caSWJUl4eKY5JVqybBn0uv6xzRcTdgRVPM1iQeTSXuL3lCq/b464iXKcEq5Qkj8pJHcIVT188FpRUKrdgxaUs0FFlFtHc5X/jhsemxLlJVEOgFwu6FHVdioWSFIrOToBepgWVYN5VmulZPlLKKMEMe79dghkp8m/oWydfHd0nB6Ys2Cm9KB8/slOuHNggJ7e4zaGR4JyG4wQV5lbMie9EGPa1OKdDPSntCPWKRqPKan322WfLxz/+cXn/+98vF198sdxyyy2qj/mcc85ZxCMhhNQLbdgOAPZrJmDXDhbHoRBDvezCWEiir6rRx+HhfFY+PLRDflAhlOOaR17fu1bOji5rqVCG4NqvJ+W+4rBFKLum0q43dKBQxvsJtmcEuoVDXjVXOx4LSDDsU2KtUCxJOpmTiURGxicyynkAK2YylZN0Ji+ZTEH1iEIw42vt3vTDz4Poxc/PZouSzhQklc5LMpmTRCKrHs/YeFoSk1nJpPNKMHvcbgmFferviEb9Egp6xe93q7/TafRrATlGi07V1MvAzYBZzHbOR464PaqHeYN3pl8aQXqfPrJL7k6NSSeDCije2+hhJnblq+Q4SmoRVXkEftXCGWecoeYrg0gkIl/4whfkr3/9q7z85S9Xo6S++MUvSihkX4o+IWRuXCX6kloOKnkIUyK1AfsXKqHoqyVLBxZFXMAbaanDaeY3yRH51thByVYIgMcFovLi2HIJtjDpGhSmbNfDFbZrv2iySYtJqENs16ofuKJiDIFZwEIO1WKIXn1pPXYLYVSWxyfSDf092Agq/534ezX1EaLUWoEui/xWgxA5JGOb3x1R8crJ7l7x2riBhPYCjJXakp2xf+M5eU3vanlWpF86/VyHzWlOT7CHvr6wei45xaP28xEyQaqNkSKEOBeKZYdUlWknrv1igws0+s9q3aElc4MLNzYeMCKqUSSKBfnK6D65Nz1huT/g0pRIfnww1vKXaHLKdp2psF33unyqouxusS18qcIUoVnoD/ZMjdIpC2NddFiVGyyMWymWaxXQIJ8rqvMxKtitPA4R8lWcmo8MQuKRU9294jOlWtvRCvG98UNyb8b6nrwgvkLOiXVuaBBe+95etJs03kXTDcBWjJao0dGZjRey8DUXEyc6MbyQkE6FYrnFYEcWFVL2UdV+oQEMFrFnlnJ5odO44JsH0hNy48g+mdCtfdAbfUG5IL5S9VK2EvzdCFVCRc/8DGAZs8YVlkFXoC0XNRCDHu+UQHZrqmIMIQiR7IQqaivF8lzVdmwkeH1u9dor0ZyHcF7afNTFkCoVZJs+LgXTEYlQOQhmO0eUobr+s8SQ/KHCgn12dFCJ5nY87msB74meHvQvpzly0AZ6e8NNaeHppOMvHPaxukxIG0Gx3OK+H1xgEJZBFgYVUFQFRkaSDENbIhjXg/49VJQbMSIqq+ty6/hB+dXksOV+1MZeEB2Up4d6Wz5yCbZrVPEQqGTGN2W7DreZ7RqiGOPUIJLLvca6EgN4fZ0WHug0sVy50QDRjEUt/o2NBvU8TtnUm0GmVFQtAXmTKRvH5anuPlvbAbAR8KvksNxR8T59ZrhP2bJb/R5tZEUUggUbhU57b7QbsBRjMgWuy6Q2cO1FdZkQ0h5QLLe4qox+H9qJawPBQ1jYsN9s6ZsO6N2bnMyohE672ZVLyQ3De+XQVOquwTKPT42EWuktuwNaSXLKdp2usF33iE/Wa5GWp3HXippJ7LXaq5WwKzbfWt0pYnnWvGg1KxriWVO1Xti18/lCwyv0OSWYJyxBc5g/DsEccdnryPhjclR+nBiy3PfkYFze0L/W1n5pp2VfYNMQG4ZOPgbbAVxPcC1BhZnUtlmDG87dhBDnQ7HcQnBxYUhVbaDKg8Rm7F4zk25pIqWnJ6xmPmJsj53A1vnzxBH5/vghS0gRQCX5BdGBli+8cewcnrJdVz5G2K6XtYHtGgLO74NluFyZKIu3skBuF9pFLFdi9H6j8oxjCRueSAJv1N+AMC5Yss2bOjCKI/Qr7iqPz7MLZArcNn7Q8r440R+RKwfWS6DF4XuNAtcUvI5IVCeLB6IP1dKRkcm2ej+38vyH54tBX4S0BxTLLQKVCYR6NaKy14mgxwyLUrsFXrdRXhyK7Zs0Rws5+dLwHtmWswaFRTWP6n881h+WVlOcsl0PVbVdRyVsc7XObnxeTQlk2K3RU5vLFiXfRgK5E8Ry5evh83tUSJjqb8415vUw2gWSMnOtwJbTSVqv9Gp+W3/Xo5lJuXnsgKVfepMvJG8b2KBGT3UaOA7Rc4t2KF5bln5twXkJ4WlkYWBd9/u9avOTEOJsKJZbBMdF1Q6scgj2KleVG/iidDiNsB2iKoOAoG+O7pdMxUiok/0ReWl8hYQcUJVKlgqypTgmKZPgAHHxygYt6ljbNRZSeM1QgcBrNlPJbO83QieIZQP0NeP1MarN2ADFa2QnSK+GGyIhMyFKWGJv1npkUAvY3kbxtdH9lhFvqzx+uXpwk/R6nL2htJS2FIRGcgTS4kGbAp5HZorU/nyVr8mdtwlFSKdBsdwCGOxVHwj14ngtOzYcEOiVlKJNvZaTxYJ8fXS/3J0et9zvd2nyotgyeUIg5ghL82E9Ldv18Vm269WukCx3BR3xGCvxuKcEmNetArpy2ULbVpE7XSzPrjaXq0WoNGdzBdsCpNDm8JiekDGxVu6O02KyQguJnRzIZ9S4t6Q+I/oH3F4lmJd77a1mOwG817AhixFIDPxaPHgOsWHEXJHaYNAXIe0BxXILYLBX7SAxEruvTNpc6mzRsK2BXg9lEnLjyF4ZK1p/3jpvUF4RXyF9Hnv7KZdSjUOPshnvlO3a7pAkp4stJ9GpYrn6Zod9lnkIkV2lSRkpWcPzcDyv1sK2t1bchPe4aexbTPPI1YMbZa0vKJ0GrjN4vRo5c77TcbvL1xpsOti1Kdvp6xuMb2TQFyHOhmK5BSBciYEitdHXF1ajtdjbvbR+b1Qn7djtR+DQd8cOyS8nj1ruh4n5eZEBNXLGCeNmUlO2a3OfJ4hN2a5bHTRWLTgqEPQpEYnzQyNDo5xAp4vlamFsmHqQzeSXnKINwby3lJw18mydFpF1rrCtTonxYl5uGtknR4oz1eygS5O3DW6U4xyQQ2A3sBGj/5zjHJfWi4vjnmuc2nu9acUmxNlQLDcZBnvVDkYrBINeNQuTLI5QyKd2r+14Dvfm0nL98B45UDESasDtkwt7VspqB4yEAkf0tGzTJ6RoCikCq1whWeEw27XXrYk/WK4ko9XA7l5Xp9ItYtn89+J96Pd5VKU5kyksaWYzBPOBUkoOVbgm0FqwUYvaeown9YJ8dXS/7M/PiHOfyyVv7l8vpwZj0okunEQi3TXvxUY8h9jkxjWHYzFrczRgneOk6xIhxArFcpNhsFftYNGSSrGqvFhg7cKu9VIXLeiV/EXiqHxv/JAlJRecHuqRs6KD4nNApRaPc6c+IQcrBARm08KmGrV51M5Sbbr+gFeFC8E10W3OiW4Ty9ZKs0dlCORssNkf0lOyv2TdCEMfPvqY7Vx8Z3VdvjG2X3aa0u7xjr+0b62cHu6VTgKbGpEI+5eXWl3G8YfQNDI/DPoixPlQLDcRVANQUUDvKJkf9irbUSEJKev1UoTYSCEnXx7ZK1uyScv9Ec0tL4uvkM3+iDiB9JTterLCdh0Vr6q0OcV2jdcl4C/3smLjLJMtdJVY7HaxbE7Q9tt0HBzRM7KnNGm5b8AVkM1a3NaWCLRgfGfsoDycnfld+OmX9K6W50T6pdPEHuZps395adVlJmPXBq3YhDgbiuUmgkpCOp2lvavG3jHYUnEji7v4omK1lJ39P6fG5Gsj+yRdMRLqRH9Ezo8vl7DmjJEXR/WMbNXHZ9muV7qCstIVcoS9ze6KYrvT7WLZbofBiJ6Vx0oJy329Lp+cqPWK28bjH6F5P5g4JH9LT1jux/ngvOgyR7zX7AKbjdjI4NzgxcFk7PrapWDF1jRnbOoSQqw4Y7XbNZQolGsA1RakalIoL/7Ci4vuxIS1GlwrKb0o3xjdL39KjVnuR5/iudFl8uRg3BGLYmOUDno3K23XqCbHHGC7ruxVRaV/Kb2qpLNA2FchmZvuXcexspje9T7NL+6SS6W/G0fXaCknDxZH5GR3r21zxCG8XxZbIUGXW36XGp2+//vjhyVZLKrsAicE/NkBAqrKgrmoQr9IfaRSOfX8YbOh3efCNxpskmHd4/NRLBPiRFhZbhKcrVxfVRSLE1xsSX2gQoUFCuyDSMCuly2ZSWW7HilaK/prvAG5ML5S+h0wEgpklO16XBJifZwR8Sih7HO5pdVg4RMI+GxLQe4kWFmePxUdG6uZVL7ucVOJUn7WTHG8J05299maKwDxc1dyRH5RkYr/9FCv/EPfGlur2a0OmcTmI0YhUe8tbo5wsYh08erX8mw2K5/4xIflzjvvEL/fLxdf/Bp51ateXfVr77zzV/LFL/6PDA0dlmOPPV7e/vZ/ls2bT5BOIRYLiN/vvHGGhJByRgdpAqgqYSQMWTjsAr1i6TSF8mIvuNhkqFcoG/2IHz+y0yKUcYJ4bqRfLutb5xihPKxn5J7i8CyhjKTr47V4y4UyLNfhkE8J5XQqpxaKFMqkFvIFXbVOwP4bCvskGKhv8Rx1edV7wK26icugj//+4rBkS/ZVR+EsOTPSLy+JLTf9JpHfp0bl88O71fmkE0CVH5tdSCwm9YNrEc6Dc+2dfO5zn5ItWx6RT33q83LNNe+SG2+8Xn71q1/O+rqdO3fIf/zH/5NXv/p1ctNNN8txxx0v73znVZLJdE7+CwoEi9ngJoQ0HorlJsIT4cKEQn7JZGDbasIL0mGgAgLqrchjJMwHDm+X2xNHLF2//W6vEsnPjQw4olKk0q6LE/KwPmZJ5YYwOFaLyWrN3hmzi8Hn1VQ4ECpvED0QP4TUSzZbtuy7PZraAINNu1bCLq8K9/KaLu9pKcp9xREVhGcnTw31yEXxlZaFxD3pCfnUkccko3eGdRnvY1T8kDdA6i8S4AbBXEk6nZYf/egHctVV71AV4jPPfI5ccslr5Lvf/fasr/3LX/4oGzduknPOeZGsXr1G3vSmt8jw8LDs2rWzY14ShL/qOq8XhDgRiuUmgJ1p9jzVZiHGgiSVYgV+MRV5iGX02dUjPn+ZOCrvO7RN9ppmqILTgnG5on+DrPUFxQmgKvZAcWTWmJyweOQkrUfiLe5Pnq4mB8vV5FQ6zw0fsiTQ215Os8/XXWUOujxKMPtMl/jslGBOluw9v2LW8qt714jXVGNGev7HhnZKoljoiBaqZDKrxkk5YM+w7cDmbSg0+9jdvn2rFIsFOfXUx0/f97jHPUEefvihWaIxFovLY4/tlPvvv1f9t5/85EcSDodl1ao10ilgg7WbQx8JcTIM+GqSWGZY1cJA7OF5YhjI4pJHsSipdZ7yWDEvXx7eaxkDo14DV3kk1IkBZ4yEMpJ+H62oJhvzZFc7IO0a1WSI5EK+qKpQdEUQu6vMhbwuwZBPvc+xGVOo4X3ud7mVYN6mT0hGylXevOhyf3FETnH32jp3/Hh/WF7Xt0a+NrpfMlMW7F35tHx4aIdcM7hR+hzSwrFYcF0qjzMMcPRjnaBQUCyWVP+3eR00PHxU4vEe8XpnhHRfX7/kclkZHx+X3t6Z+d3Pe94L5Xe/u0uuuOIN4na71Tn/ox/9b4nFYtJJoP0CRQOEfRFCnAMry02AO4Y1jtbxexjqtchNBgi0Wu3Xd6fG5NpDW2cJZSx43zqwwTFCGe+bXcWEPKSPzrJdH6NFZU2LbdesJpNmV5lzubyE66gy+6YEc8i0L4730gPFURnTs7Y+xvW+kLyhb62awW5wqJCVDw3tkEN5e39X6+zY5fFvpD6QQWK0CRmg39gslIHxeT5vvZZNTIwr2/XVV79TvvCFm+Tss8+TD3zgP2V0dKTjxDKLBYQ4D4rlBoN+nXrHgHQjuJBifAJtSIuzX9cyTzmtF1U1+fPDeyRp6ieEffLFsWXymp7VEnV7HGO7RgVsb8k6/gqL/hO1HulxtTZwh73JpNW9zKgyY07zQmBs1PFaTKViG2Am+YP6qArLs5MV3oDKOeh1z4ggBAZ+eGi77M5ZWyjaDdqxFw+u7djQxWaDgc/nl3ze2hJgfB4IBCz3X3fdp+WYY46VCy64SE444UR55zvfo77mJz/5oXQSeI5QhadgJsRZUCw34QKLCwWZG1QHYdHiqKjG2a+3ZZPyH4e2qrRaM6s8frliYIOcHuptuZ3ZYFTPqrTriYq062WugKqSwV7aKlhNJs6qMvtrqjK7XZocp8UlJjNfC6/GI/qYDOlpWx8fUvMhmJeZrNcJvSgfHdopj2asbpZ2TcdG/zJZWnV5cHBQxsfHpFCYWR+NjAyrEVKRSNTyvY8+ukWOPfa46c81TVPjow4dOtRxLwPe1/k8g74IcRIUy02wX3OXcH4glMt9TbxA2G2/LpR0uW3skHxkaIccNY2Egiw+M9wnb+xfL4MO6SfE+2R3MaEqXuitNNDEJZu0qKzVIqK1UNCjiseka+LEKjOOS2zkzAfeO8doMek19SpDMD+qj8tB3d6qb8ztkTf0rZO13hlRiV7m/z7ymNybnpB2Bi4en8/DvtJFbDRA5Br9uMcdt1ncbo889NCD01+DAK8TTzxZfZ2Z/v5B2bXrMct9e/bsllWrVkmnUXYiMuiLECdBsdxwCzarygsRDHolnWYCdj1gYQyxPDk5t43yYD4jHzy8Q36aGLJcemGRRG/hC6KDjhgJBXKlohLJeyps10Fxq7TrXgfYrlHFQzIxk66J06rMuqp2+he0ZUMwb3RFZaDi/bRdn5C9ur1V35Dmltf3rpVjfaHp+/JSks8d3SV/SFodLu0ENsBTKaRjc/byYgQzrvcANupzzjlPPvaxD8gjjzwkd931a7n55q/JhRdePB0Als2Wr28vecn58sMffl9+/vOfyL59e+W66z4jhw8fVKOkOnXMKFvSCHEOrhLLng0DQnl83F6LW6eBHXosOkZGrCKJzA9mr+pTC+VK8Jb+dXJEvjN2QHIV0cxPDMbkvOgyCZhCeFrNWCknW4pjlmoyGHQFZI0r3NJqMoDN1etzSzqZkzzdD7aAlzQeC8r4RJrp4Tbh97sl4MfGY05yC9g4cY7AGLbDJev1aa0rLOu1iK0tGXC33Dp+SB7MJCz3X9yzSp4fHZB2pbc3pGbj4vkmtW/y9vWF1fUe1y+EfH3sYx+UO++8Q8LhiJqzfNFFl6ivPeOM0+Td775Wzj33xerzH//4+3LzzV+XoaEhOe644+Wqq/5JzWfu1CwSbM5ifUQIaT0Uyw0CixH0KtcSvNTNxONBZTvigqN2kMYajQbVgqNyr2u8mJebRvbJAxUL06BLk5fGV8gpAWsvWCvBY0eA1+6KihbsLutdUenTWlu5gV5A9R4LvFQyp6p4xL7nlmLZfrxuTYJhn+RxTjWN6Znr/XeolJYDFbPLV7pCKm3eTsGMme4/nDgsd6fHLfcjWPAlseWOyUuoB9iJcf0yhB+pfaMXlVNmlMwPji2KZUKcAbetGgQt2AtjzBOcmOCGQj0gXCaZzM4Syvekx+UrI/tk0pR0DY7xheSC+ErVR+gU8iVdzU4eLeVm2a7RnxxwtfaxumFzD/tEL5ar95ydTNoBOB/0yaw6dsOaT1Lp3JzHLgQqhLFbd1lS5w+WUlLUdTlei9smYuEOeWlsubJm35WcGffzo4khlcyPKnOrHST1gpwNbIijAshN8dpByxUEM8Xy/GBDwestteVGEiGdhnNWzx0GFijsV54f9C6VR0pwV75WUOks29dmqkYZvSjfHjtoWYQCj7jkrOignB7qcdRCdHzKdp2rsF2jj3Ktq7UhXtbqXEHSGWYOkPbsY8a5Ai0uC7kilmlBJZh3lWYcHkOljPqeEzT7zh1Y9L8wOihBzS23J45M33/H5LCk9KK8rm+teBx0nqoFbFr29obVpi/EM1kYPE+4hmGMFCeFzA3Wj7Bjs7pMSOuhWG4QEIDUgPPj93tlfLy9Z2+2ItRrbGzmOduZTckNI3tkqGCt0K7w+OXC+EpZ7nVOCI3RJ/mYnphlu17niki/Fmirvk9CnAquPclkTvXbhyP+Bfvt8d7TSi713jRk9XApKw/poypgD6On7OKZ4T7VFvKDicPTv+uPqTElmN/Uv158FUnI7RL2NTrKa1m9QV8Uy3PDzRdCnEP7XJXaCIxA4olu4XFReJ5gNSK1gQUZFhl4zoroARw/LB8a2m4Ryq6pxeib+tc5SijDdv2wPjZLKAfErapXThDKoaBXbeCgWkShTDoB9C1nMN827FMbQfOBxPljtZhlUYDwvQeKo+r9ayenhXqU9dqtzlhl7s8k5L+PPqZEczthTHIIBp0xgq8dwHXM43GrViwyNxw9SogzYMBXg+wz6GFi6Mfc9PQgSTRvsROT2kK9DuUy8qWRvbIzZ61kxDWP6k3e5J8Z1eIEJqZs19kK23Wfy68qyq0eX4Vfj75DgD46vm+b85wz4Kt5YKRUKOyvKfhrspRXo6SKpoFzYfHIKe5e8bnsTdHfnk3KN8f2W1L713kD8vbBTY7KWFgI2LBjsaCMjjLsq1ai0YByG1Wb6EDKwKqOTRhjNjUhpDVwW69BcME9N+jDwY4yZtaS2oCYw0zlOxNH5T8Pb5sllB8XiMpbBjY4Sigr27WelPuLIxahDGm83hWRDY4Qyi5VsS/penleLVNtSQdSmAqq83g15aCYj4jLq8K9kHlgkJSC3FcckUzJ3qrvsf6wmsUMW7bBnnxGPjy0XYYrWkucDJxk2CQPhZzj5nE6aHWBk4fMDY4pZroQ0noolm0Gi20kYZP5LdgQyuzprn13eaJYkI/v3y5fHd0vWZMlMuDSVG/yRT2rVHCOU8Bs1Uf0Mdlp6oEE/inb9YAWaHnKJ3rAIxGfFAu6JFPcuCGdTXkue07cmOEaml+khFwe2azFxWtaImSkKPcXhyVVsjf0bq0vKG/oWydRbaaSfLiQkw8N7ZAD+faZlID2jUDAQ2txjaCdSNd19ZyR6mCNRLFMSOuhDbsBO4G4aLIXd44DziXS3x9RYSjoWSYL85gnJ5/ds13Gi9ZF6kY1EmqF9LidtTsPG+cjxTG1uDbT6/KpirKdYUFLEcqo1hcLRUlN9RyS5kEbduvbDkp6SZKp+au32VJRtunjFmcIBDQs2ahA28lIISc3je6TkeLM+zGiueXtgxtlg885jpn5gEsF5xaOQ6x94xw3c2glsYIgNFix2d9NSOto/aq1A6FQnhuMQVABVRTKC5LVdbll4qC8/7EtFqGMUJyzo4Py+t41jhLK2AE/oKfk3uKwRSijfrzOFZaNrqhjhDIWtYU8hTLp1qTsrLjUhtH8oVR+l1s2az1q/rlBXnTVWoERcHbS5/HJZX3rVJK/AWbGf3Rop2zJzIy1cjJIIMc1Dq1GZGHgMDPassjcBRiulwhpLaws2ywWEFjFwIq5iceD6uRvJIiS6uzKpeSG4b1yqGANP1nm8Snb9Upv69OjK23X2/QJOVqy2iZ9oskxWkzZOp2AIZRrCToijYOVZWe8BhhFZ4i8hd7fCP1C77IB5M1JWq/0avb26ab1onxtdL/syaen70P/9Bv718kTQ3FxOnhOEcg0Pj7z+MncxGIBtYGOcEUy13MUVO1YhJDWwO08G0Gvci7HfuU5DzbNpRYRnK04N3qpJD+dGJIPHN4+Syg/PdQrb+5f7zihDNs1qsmVQrlHfGpGK4UyIc6dxQwWqjB7XJocp8UlKjNOFhizMYf5qG5vXzGyF17Xt0aO94Wn7ytIST43vFt+lxyRdgiuQrUUEwzIwmQyBWXFJnNTLBYZPklIC6FYtnnxgaopqQ52RpEaysTh6hwp5OSjQzvktvFDliFLCL55Xe8aOTe2TLwOsDGbnRQH9ZTcVxyWdIXteq0rLJs0Z9iuzT3KrCgTYgUVPYTthaeqzHOB5HrMYY7LzNchvA9Bfod1e6uoPpcml/SullMDUcvvunFkn/xv4ojj1wF4To1xdGR+sGbC8Ufr+nzPUZHBsYS0EPo6bIQicH4wJgK77mS26Px9alRuHj0gGVPSNTjZH5GXxldIyEFJ16A4ZcscqmK7hkgO2xz+sxSUEAgj9ZrWa0Lm6mGGuENK9nzJ8JrLJcdoUdlVmpSR0ozzZas+LgXRZbU2Uw1eKh6XS7WcBF1u+XN6bPr+b48dlKRelPNjy1ueqD8XaDNCKBM2iOmkqq13GdVltrBVB0UGQkjroFi20YLNE9rcIMADO8esvFuZLBZUf95f0+OW+wOaJi+OL5fH+aKOWxAmp9KuzdVkgIrTBi2iLJtOAU+dMR6KqdeEzG/JxnsFc5jne6/gfLRBIipo8Ihpswxj4opSUq4Su85ZEOcvji1Tm4W/Tg5P3/+TiSF17vz73tXqa5yIsQFBsbwweI7Qu0yxPDcI+cLGutPWA4R0A85Z1XZAVZlCcG4wSxEXRM5WnuGhTELee3jrLKG8MRCSf15znDzeH3PchRF2S/QnVwrlNa6Qqjg5SSgDLFb1IoUyIQuBhbgxhzm4QA8pzksQxStcQcv9u/VJeQyz1W080eN3PT86IOdEBy3335kckeuH96jwMSdSvt6VFuzHzWaz8sEP/qecffaz5aUvPUtuvvnrc37tjh3b5c1vvlSe+9xnyGtf+0r529/ulk4AhQYcMuzznhtasQlpHc5a2bYxONHThj2/BRtWKyKSw0io0QPyySOPyZhpJBTejGdFB+WaDcdLqOgskVwslWRrcVzZLc1LU8xc3azFZbkWcpywNxb889lKCSEzQNyhwuz1uRcULni/w3a92mWdgby/lFItGnYKZvCMcJ+8PL7Csmj5S3pcPnt0txqz50TQuww79nx87nOfki1bHpFPferzcs0175Ibb7xefvWrX876usnJSbn66itlw4ZN8tWv3iJnnvlcefe7/0lGR50felYLWB9gnUCqk8+z2EBIq6BYtgEsCjgHb26QgA0dxaRwkb25tPzX4W3yy8mjludo0O2TN/avl7MGV6je2mLR3oXmUkiVCqqafLhkDfGJiVelXUcc1J9s4Pe71YKf40gIqQ9s+qaTObXZ5Klh/u0KLaTmqJs5VErLFmys2SyYnxSMy6t6VqlRUgYPZhLyiSM7JakXHFldxrVvrrE/6XRafvSjH8hVV71DNm8+Qc488zlyySWvke9+99uzvvZnP/uxBINB+ad/epesWbNWLr30jbJmzTrZsuVh6ZRUbDxPDttzdQx4K9m9AUUIqQ2KZRtgv/L8MOSkPBLq9okj8v7D2+VAxUio00M98uaB9bLGV56liFndTmFIT8s9xWFJmearAlSTkIzrNNs18Lo1Cfi9kkpm6fYgZBHki7qaQx4K+1SS/EIMakHZ6JpJrgYYJfewPqZcKXZyYiAqr+1dIz6TqtqRS8lHh3bKeNE5585aqsvbt2+VYrEgp576+On7Hve4J8jDDz8kekW1/J57/ipnnHGmuN0zFf8bbviqPO1pZ0gngIID5i37fIzSme85ooORkObjvJVuG4K1ACwypDqwVjlJADabkUJOPn5kp3xn/KCaF2oQ0dzy2t7V8uLYcjUqBX3d2HgpFEqOEPfbiuPyqLJdlyy26+O1uKomOc12DdyaS4Jhn0pdLzioOk9IuwEnEEathRYYKWXQp/lVboH5rDBaysqDxRHb+4o3+UNyad86CblmhOO+fEY+NLRDjeBzErj2ud0u5bCqZHj4qMTjPeL1zrhz+vr6JZfLyvi4NcviwIH90tPTKx/+8PvlJS85Sy6//HVy//33SiemYpO5e7uxoUAIaS4Uy7bZY+z4SZ0HdolhHerWE/yfkqNy7aGt8mg2abn/RH9E3jqwQY73R9TnZaueVzLzpNA2i/SU7RpWSjNR8cqJWo9EHWi7Np5DVMKwwM/lu/N4I8ROUF3G+RsjpWqhx+WX47SYZWExIXl5oDgieZsF82pvQN7Qv1Zi2kwlEkL5Q4e3y/6cdaSdE0ZJVdt0yGQyFqEMjM/zeavoT6dT8o1v3CQDAwPysY99Sp7whCfJNde8RQ4fPiSdAmzr2FSoxc3QjZQnrnCxSUizoVheIuxXnh+n2YqbRUovyheH98j1I3slbVokwjqI+aCX9KySsGmRh+cJtrt8izcVjugZZbtOVtiuV7pCahHsdaDt2iAU9JX7LbvweCOkUaRSeXF73Mr5UgtRl0+5TzBaymBSCnJ/cUSyJXvnxS7z+OXy/nUy4J4RnON6QT58ZIfsqNigbCVwung8bnUz4/P5JZ+3nq+MzwOBgOV+2K+PO26z6lU+/vgT5Ior3iZr166T22//qXQKOH9DEM7V493tsG+ZkNbg3JVvm8B+5YUry902Z3JLZlLee2ir/Dk1Zrl/rTcgV/ZvkNNCPbMszLCeYUHVStv19uKEbEGPoWnnGkE6EMmrHGq7NggGPKK5NQZ6EdKIhOzJrDqXez21LRnCLq9KyTcHcaWmBDOcK3bS4/bKG/rWyUqPf+Z36UX5xJHH1Hg+p4icTCY3q7o8ODgo4+NjUijMPCcjI8Pi9/slErH2gPf3D8j69Rss961du16Ghg5LJ4H1AvuW54Z9y4Q0H4rlJcJ+5bmBnaqbKu+wGX5n7KDqTx4xBc3gTfbcSL9a0PV7ZlvxsIuO5ynfIutwplSQ+4rDcrCUstwfUWnXvRJz1daz2Cp8Xk28Po8K9GI7BCH2U4RjA0FVIZ/KBaiFoMsjJ2g94jMtMzJSVII5WbLX/RFxe+TSvrWywTsz9zlb0uXTR3bJ3RWblq2s0GMcl9uUMI5KsdvtkYceenD6PvQhn3jiyaJp1uXZySefKtu3b7Pct3v3LlmxYqV0Erlc2Yrt4L1ZB8xb7o41FSFOgWJ5ibBfeW4gAnHh6wbQI/eBw9vl9sQRS0dRv9srl/Wtk+dGBsQ9x9W/XFVujXV4eMp2DZukmRWuoBzvcNs18LhdKmkWo26woCeENAa0iOB8Ho74a3aZ+F1uVWEOyIz9OCe6EswJmwVzQHPLP/Stkc3+mTFWcMl8YXiP3DU5LK0GG6JoSTJXl2G1Puec8+RjH/uAPPLIQ3LXXb+Wm2/+mlx44cXTAWDZbLn/+vzzL5AdO7bJl770Bdm3b6/ccMPnVejXWWedK50ErNhMxZ7fzci+ZUKai6vEwW2LBk8dRE4yaR0FRMr09YUlkchMhVJ0JrAv3zE5LLeOWZOuwWnBuJwTXSb+igqBGdgasfgcG7OGaTXjce/SE7K/opoM2+QGLSpxh1eTARbs0ahfJahms517jHUi0FrxWFDGJ9J0A7QZoaBXXJpLkslcXa6b7fq4pGTmfYqe5pPcvdJj87kGo6puGz8k92UmLPdfEF8h58SWSStBVbm3NyTDw8npmbkI+frYxz4od955h4TDETVn+aKLLlH/7YwzTpN3v/taOffcF09Xnf/7vz8mu3btVJbsq676JxX01WlgQwHPFdYPZDaxWEAFghJCmgPF8hLAuCjMUIQthljBha6nB4uCyY59akYLeblxZK88nLX+jWHNLefHVsiJgXLS9XxEIn5lU29mZTlTKsqW4pgkxPo7I+KRjVpUfKZxLE4GCb1Yb6YckCBO6oNiub3BJhWue/XkURSVYJ6wuFiwjYiE/T7NGmZlx2bgTxND8scKC/bZ0UElmluZvxCPB9UGMtYOpDoejybxeGevH5ZCOOyTQKC2GeiEkKXjbI9lW/QrUyjPZcHu5NnT6IO79vDWWUIZFsC39m+oSSjjQoferGYGoI0o2/XRWUJ5ubJdx9tGKKNPGQm9TL4mpPmgfzng99TcvwzcLk2O0+ISk5mKGDovH9bHZEi311mjuVxyXnSZyoow8/PEEfna6H4lplsFNkY5S3h+YMNG5b3abGrCvmVCmg3z+ZcATuYMFKoO0ixbme7cKNJ6UW4ePSC/T41a7veKS1n8nhKM11y1wIIJPYDo0WrGsbpLn5R9Jes4FfeU7dpuK2QjwSZDAH3KqRzff4S0gEKxpCrLCPyanMzWJWKP0WKyq5SQ0VL5+oCz36P6uOovXqmFbHuMOA8jKyLocstPEkPT99+VHFFp2Zf2r21JJkM5x8OvrpHdkumxGPDc4DliQWI27FsmpLlQLC+ScsozA4XmEjOwUXWaPX1bNilfGt4jR01J12CVxy8X9qySwSpJ1/OBhUBysvE9Wdkp2/VERTU5PGW7RghPOxEMeKWQL7Z8JjUh3QxcHbBjw0VUjzsGgnmjREWTSRkuzQhtWLQhmNdoMwFddvC0cK8ENU31MRtnjLvT45I6UpQrBtarYLBWVJeDwfJmKakOnptIJMBMmCpw3jIhzYU27CXNV+aFbi4RiOenU7LjCiVdbhs7JB8Z2mERyqgfnxnukzf2r1+EUMZYLb3hgm9Uz6q060qhvMwVULbrdhPKZfu1Rvs1IW1qxzaqvutdEXUeMvOYnpBdxYTt144nBONySc9qy9xntNBgFvNksfnXcaRiw2LsdrPndC6w2Y6Nd/OoLTID5y0T0jx4Flok7FeeXyx3SjrxwXxGPnh4hwqLMS/fet1eeUPfWnlBdHDOkVALWbAb2ausbNfFhDyoj0p+up5Stl1v0qKyVouoCk87Qfs1IU60YxeUHbteIJjXuMKy0mW1Xu8tJWWnbr9gPiEQUaOl/Cbr9c5cSj56ZKeMVbiFGg3+Npz/EdJE5gbHFpwLpNpzw3nLhDQLiuVFwvnK81dN291ehsXMrxJH5X2Ht8nuvDV85knBmFzZv17W+xbXX4dqAnbLGyWWc6WiPKCPqkWnmZB4VPJsr8sv7Qjt14Q4j3SmoNLNFyNqIJhXaSElms0cKKVkqz5uu2De6AvJpX1r1cQCg/35jHzo8HY5nM82vbocCFAI1tK3TGZT7uXuDPceIU6HYnnR/crsl6wGLmzo5W7n52e8mJdPHd0l3xg7IDnTYi3o0uRVPavk5fGVS+pzw3xELAIa4VIf07Pyt+KwjE+F5xgMugKyuQ1t1wa0XxPSeXZsg+VaUNmyzQyVMvKIPmZ7cvUqb0Au61sncW1GhKG95sNDO2RvLt1UsYNwR1ZO5wYONeSftHLUl5PpkE43QhwPxfIigBBsZzHYSNq9qnxPelyuPbRVHswkLPcf6wvJWwc2ysmBqD3Pkc1VZWzg7NEnVUXZbLvWxCUbXVFZ14a2awParwnpXDu2wYAWUC0i5rMUAsAe0kfVjGY7GfD45PL+dTLonnm8E3pB5VIgyLFZZDKwYs+M0iKzr2sYI8UNheroennEFiGksVAsLwLsBpej+0kl7ToOI6MX5Ssj++R/ju6WSX3mtUUgDOZ1vrZ3jcTcS7eDeb3lt5ydwV65kq56k3fr1pnPQXEr23Wf1p62awParwlpHzv2UqzFaBHBaCmzYB4r5eSB4qgKWrSTOHIn+tfKas9MyFi6pMsnj+yUB9PWzdJGkc2Wg75YOZ0brCc4b7k62EjgVBZCGg/F8hJOUqTiYNJc6tZuGwk7skn5z8Pb5DfJEcv9Kz1+eXP/ejV6xK6qrN2bCbBb31M8qhaUZgZcATlB65FAm9quDWi/JqS97Nh+3+Lt2CDu8qmkfrhiDBKSl/uLIyqPwU7Cmkf+sW+tbDLlT6D15tNHH5M/p8akGRvvsGOzd3lu8PxQLFcHay1UlwkhjYVieRHQ9lIdXNCwidAurqBiqSQ/GD+ketWGCjNiE0u0Z6qRUOtkude+qiz0djkpvGDLMbhXnywvIC22a5ENroisb2PbtYGqUgV9agHeLscUId1M2Y5dlEBwadbiiMurMhbMo56SUlDnu4zNgtmvafKa3tVyon+mZxpn1OuH98ivJ4el0eB6gBwLMrdYNjbiiRUWbQhpDhTLixAp2A0ms/F6PW0zexrJpxDJP5oYMklNUaEvqDScFR0Uj2nEiF2bCdgFXqptKl/S5SF9THZV2K4DU7brfs06u7RdQZ8asgEaPYuaNB4sdD1ul3jdmrp5pman4qNxH6qRtKO2P5lsXqX94zVdCiGXRwlmr2mZkpai3F8cllTJ3uuM16XJxT2r5InB2PR9OEt/fXS//GRiqKEb5LBiI8SKM5fnF8xMxa4ON5IJaTzM5K8TLN65mzd3cFUi0dx5lfWCRQ/s1t8aOyjZih64xwei8qLYcgkuIel6IfG31KryRCknW4pjkrVIfJF+l1/Wudq/mmwA0YTFUSrZ3HEuZHHgsPNommgel2guTTR3uRKE19E4IkvTC7sZ4WFUIA2RjOMX71F8BTYlS7oucBkW8RHn3iVuNJHGg9cYAtAf9Ep+cmnv38CUYN6mj0+f8/ARFeZT3L2qAm0XbpdLXhZbISGXW36XGp2+/3vjh2SyWJCLelY2ZDMHz1d5nrBXUilrOw2xWrExbotUD/niRiMhjYNiuU4Y7tW+/cqJYkGFeN2bmbDcH3Bp8pLYcnmcqarQkMqaxy3J5OIWQ7gYYvboY3rCMlkRSzeIZCTJdhIYQ1MsFCmOHAqqhhDGbk0Tt8etqsIY8YPXrKj6MHUpQezCiVMqnzfNQHPEY0GZnMzOqoyocwlEtkvKotulqYWyO+BVxzt+fhHBNnBpqI8U0E4c+QPxh8yBXH5pzhCMu9us9ai5yxkpX1/yJsEccy0+gbsSHHdnRwfVhukvJ49O3/+LyaOSKhVV0CNEdSNSsSMRP8XyHJT7umlVny/ky+PpjI1yQpwIxfIiYGW5/fqV709PyE0j+9R4EDMbfSG5IL5Cetzehlfdy2EcpUXZrlFZwRgVM35xyzFaVIKuznobQyzh+YKQIs4A+sDr0dSGj8dbdl5MC+NUTgpTwtgO8B7RjS0h9XYtWo4NCHPYVnHOMRbQ+VxRvb9o2XcOmXROZQ7k8hlbbNKoMG/XJ1TvMihKSR4ojshJWq/02pj4jwrdsyP9EtQ0+TEs2FP3/y45Kim9qEZO4fHYCSrLLldAHddcX8zft8w2uLlCvthVSUijcJWYVlUXsNFOTKQb9Xq0LZFIQEolfdGV00aR1XW5dfyg/KoiqMUtLnlBdECeHrIv6Xo+YrGAsiai4lIPiVJeHlG2a+v39U3ZrhtR5Wg1oSlrbipNy10rwcIUo86UQHZrShhjYVbIL73ib1SWxyfSS95gUz3QXrd4fXhXlxePWFznHbx51y1Eo351zUTo11zk83m57bvfkgceuFe8Xq88+8zny5nPeV7Vr8W85R16QqVjG+A1R/J/I9w12GTF9cNcGz/BH5G3DKyXgM3tOqgsA24SViceD6pjiVbs6s8Ne7oJaRzciqo73IthQ9VAJXC+BVEr2JVLyfsOb5sllJd7fPLm/nVyRrivKUJZVcPcWl3Pj7Jd60m5rzhsEcqG7XpDhwplVA1Vb5oNieFkcaCCHA75JBrxK6EM4ZmYzKpFPOyiTusbzhd1SWfyMjGRUY8Rot7n90osGlAbLwgWI60hk84vaJ/98Y++J3v37pU3vfkqefkFr5Tb//encv9991T9WrdLk2O1mIzt3j99H47GR/QxOazbv4mN1pxX966WcgNAmS3ZSfnYkZ2qrcf+VOzOcgnZCUdIzQ03BQlpLBTLdcBwr/boV0bvJBJMP3B4uxwqWK28qCS/qX+9rPA2r8fXsGDXekErlHTZoo+rCor5W/yiqQrKoBbo2DAPLKyxqUCrXXPB8YRZr3BABEM+1Q8MgQynSDu9HhDKEPQQzUY/dCjsVxVO9M+S5oLqPo6dueYI53JZ+eMf/yAve9kFsmbNWjn11CfIc57zAvnNb++c82fee8/d8sjP7pDH/na/5X70NGOD0W6O90fkdX1rVLaFwa5cWj4ytENGTCMH7RCD2A6FFZtUf344b7k6LOIQ0lh4Vq4Dhns5v1/5SCGnFjFIMDV7AKKaR17Xu0bOjS2zvd+sluen1qryZCkv9xSH5WjJ2ufX6/KpsVAYp9KpqPFBHk2NniHNAZtcwQCqsH7lfsBMa1RoITjbRSDPJ5yNirOq2uHvjAXmFG6kMWTTeWURrbbBd+DAftH1omzYuGn6vk2bNsme3btxwZ319ankpPzoh9+XV7z8lfL7W74nvgnreRIbjHv0SdtHPa33heTSvrUSMVmvDxay8qGhHXIon7W1d5l22upw3vL8hRzcCCGNgWK5Thi+4cz5ylgc/S45Iv9xaKtsz6Us/+2UQFTeOrBBjvWHWzNSZ8rKutDjP6in5N7i8HTiq/p+EVnrCstGV1RZEDsZjJrBYtEJmy6dDo7LYMCjrNb49+RUFblTA7KwWZVIZCWdzKn3I0QzHB+kOTZ5pJYj4b6SiYlxCYfD4nbP/LdINCb5Ql6SqdlV4h/88DZ5ylNPlxUrVynvaXA4JStcQcvX7NYn1Qx6uwXzSm9ALutbZwmDHCnm5cND22VPzh4LeHmEFDdz5oLzlud6XiiWCWkknb36thku4p3Zr4wZmJ8f3iM3juyTjGl2st+lqaTrV8ZXSqhBs5NrqSpjx3e+Kh1Cax7Vx1XSq/mrfFJOgF2mBTvWdm3uk0WVExVN0liwGI9GA6K5NUkmsypIrVvGL0G4YWMAFXTjeaA9u/EglAnXCbzHLa9HLiduj1UceqaEc6FgPRds3bpFHtuxQ17wgrOn78NPW62FZbUrZPnafaVk+Xxq80W73+OTy/vWyjLPzLiqhF6Ujw7tkK3ZpC1iGQ6PyueJlKEVuzpOaYEjpFOhWK4RhntVByIOF/dWnawfyiTk2kNb5a/pccv9671BeUv/BnliMN5SoQmxPF9VOTlluz5SYbvukbLtOuzqjtmSgaCXKacNBqIQFVUck6iwopLstLCuZoEKOirNSKjHeCMkESPxmzSG8uzt4qzqssfjk2KFKC5MBWd5fTOCNJ/Pya3fvlle/opXitc7e67yCi0k61xW59ChUlptQiLDwk5ibq+8oW+drDHlXqRLunxyaKdKz14KeKh4nlhdrg7WGXCGkOrHDiGkMdDvU1e/cmdaFJcCwkhQOW32iTqn63Lb+CH55eRRy/1Y7j4vMiDPbFLSdS0W9cnJ6ha9Q3pKdugTlt5qsMYVlmWuzg3xqlZVxt/qtDT1TutLVv3g6Zzk8jyPGeCYww3iJBz2qX+jz5nYDxLuYfvXsjP98PGeuCSTSdGLRdHcZRE0mZhQI6RCgRl79d7du+ToyLB85StfsvzML37xOnnKU58qr3jFq2RQC4qmu2RXaXL6v2MTEkIdwYh2Tg+AU+n1vWvlm2P7ZcdU209eSvLZo7vkH/vWyt+Fe5fct5zm6LyqdmOsOfBSUhxaafeMCUKcDMVyjRSLJQYoLKJy2gj25tJy/fAeOVCRdD3o9smFPStlVROTrhcSgRhsUiiUZtmuYREcqqgmw3a9UYtKpEuqyQb+gEdV+EhjqsmonGI2ciKR4QJzDhAAhucoGCqHgKHyDss2sT8g0w8hOLUhsWrVGtE0t+zavUs2bTpG3bdz505Zt249dnmmv3ft+g3y7n+91vLzPvDB/5BXXnyJbD5+8/R9/VpA3CWX7DRNEhgpZeUhfVRO0nrEY2Pug1/T5DW9q+U7YwfloWxZoOOIuWFkryT1ojwvOrDoYzEcLmcJUBDOdvhhc76WHJBuTMTGe4wWfkLsh76zmqFYrgZ2eZtVcYed7ucTQ/Jfh7fPEsp/F+qRNw+sd4xQBl6fZ1a1NFUqyL3FkVlCOS5eZbvuNqGMGbhurb4Z1GRhsGDCrGQIZfTnoi+ZC+/5QQVycjKnNm5CYZ+qxhN7yWWL4jUFq/l8PlUZ/u6tt8jePbvkwQfuk1//+hfyrGedqf57YmJcWbBhvR4YHLTcQDwWl3AkZvkdPS6/msVsXtyMl3LyQHFU8qZMCzuA+H5lzyp5cjBuuf/msQPyw/HDi+qZhuCBIGQq9nxWbC5dK2EiNiGNg2ecOqDNZTbY4W1Gv/JwIScfP7JTbh0/JEVTDBZGeby2d7W8KLZcfA5Li0agjTklfEhPq/7klFh79BBOc4wWs7Xq0S5gQQihTCFnr6MBPbhYqKOa3KkJ140imy2qEDDY1hEA5mbYkm2gWo/rqDmJ/CUvuUDWrF0rn7vuM/Ld735bzjr7PDn11Ceq/3bte98j997zt7p/T8zlk+O1uLhVBFiZScnL/cURyZbsvV6h3ef82HLV+mPmhxOH5ZaxA4vqmUZ1mWK5OticZ9/ybMrtcLRiE9IIXCW+u2q+eE1M2DMeolOATWxgICpHjyYaKnb+lByVr4/uVyEqZk70R+T8+HIJax5HVvbi8aCMjqakWCrJTn1CBc6Y8Yomm7rQdm2APmXM94Uw6ZY05kaDGcKq3zHl7DFQOHfEY0EZn0g7eqOkXZ7PdmsNwMxrBKw1mnSpIFv1cSmYNlgD4pZT3b0SaMDM+t9MDsvtFTkacD29rm+teOromYYYjMcDMjy89ITtTgMbLeFwQEZH+dyYweEViwW5yUJIA3CeynAo3FOofkFvZLhXSi8qkfzn1Jjlfp/LJedGlynrm1NDsNDLjYo7bNdbimOSrKgmx8QrG7SoeLuwmmzg97ulgBmsFMq2EA4hxMstSW4+2AZGmWFGcDDkE3euwNFmNoCAuUDQJV631vC+8KDLI5u1Htmmj0tuKkoRc+zvK47IKe4+CdssmJ8Z6Zeg5pYfTByelud/TI1JWi/KG/vXi8/Uhz0fuHYYkyZwjSUzMOSrOk7edCSk3enelfoiQiVI8yzYWzKT8t5DW2cJ5bXegFzZv0FOC/U4VigD9FTtS0/KvcXhWUJ5lSukeuq6WShPW7CznKtsh4shGvWr0gKqddx8sBdUlLEBgeMVGxJk6ajE54oxUo0i4HKrefWoKE//ftHl/uKwJEr2Bwvi2oQ+ZvOAo/syCfnvo4+pDeBa4UzhhUO+iBW2ChLSGLp7tV4jDE6ojterqV1eO0EAy3fGDqj+5JFivmIkVL+ab9nvmT1n00mgR21LdlTuzwxb+qs94pLjtZis1EKOFvrNSwovCxGyeDAbGP3Jhbyu5ibTAdMYsAGhbMOu8sYEE2eXBnIKsKHYrOfR53KrHuagScLCmv1AcUSFf9nNKYGovKZ3jXJBGWzNJuVjQztkYmqOdC1i2dzbTSr7lrl8rQTnf14DCLEfnm1qgJXl5lSW9+cy8v7D2+X2xFGTxBTpd3vlsr518pzIgK2zMhvVI3efPiy7MgnL/VHxyklar0Rdzhb6zQJVJVSXyOKBjRWzgTOZPGcDN+k6gA0JbExgg4KCealjpPSmikE4eVBhjpi6z7CZ+WBxREZ0+/unj/WH1SzmoMlBtCefkQ8PbVeBlbVsKKCdh8yViM3nplphh9VlQuyHYrnGXhDMWSYzQLOin8oOsYxK7C8SR+R9h7fJvrx1pNJpwbhc0b9B1vqCjn/6j+oZlXY9WbKKwJWuoBxH2/U0EBmoiHJc1NIq8xhvlE7n+Dw2GcwIzueKSjAzKXuJVmxfc2NT3C5NjtPiKjPCAN6Wh/VROaLbH+CJ6xbcUFFtRtgdLuTkQ0M75GDFtW6+vmUy+7lhZXkusUy3FiF2w7NwjdDa0phwr9FCXj555DH51thBS2JpWHPLq3tWy/nxFeKvMRSlVUDs7yhOyCP62CzbNUTyKi3c9bZrM6gmYbHDHfAlCOWQT1KpnApLIq0TzGEK5kVjtGDAIdFMMOoJo/p6ZMblg7P2Fn1cDukp23/fcq9fOaP63DMCfbSYlw8P7ZBdufl/H/uWqwNXAjYRHG40azoo6jDoixD7cbYKcQgUyo2xYN+dGpNrD2+VR7KTlvs3+8Py1v4NckIgIk4nUyqq2Z0HStZFT9TllRO1HjXvk1SfrUzqB8LCEMrs93aOYKYle3HkVdBX8+20EMwY29fv8lvu36ZPyD7d/pFEfR6fEswrPDO/b1IvykeHdqowy7lg33J1sNGKG63YVhhES0hjoFiuAVbAZgMLFHZ3FwPGaHxpeK98fniPJR3UKy55SWy5qihH3M6fajasbNdHJSHWRNX1gagc54qpUBlihcFeiwfW9eCU9ZpC2XmWbArm+smqoC93S5w3+J3rXRFZ5gpY7n9MT8juYsL2TfKo2yOX9q2Vdd6Z35ct6fLfRx6Te9Ljc1rV2bc8tzCkRZ0Q0gwolhcA/R8Uy7NZ7PzHbdmk/MehrfKH1Kjl/tWegFwxsEGe6vCRUIbt+rFiQh7WxyzWcbe45ARfj6z3RR3/N7QKLIwhLkh9QIiFpsK8aL12nmAu5Iuq4k/qA9dWJI17va05X+I8vcYVVrkSZvaUkrJTt18wYwbz63rXynG+8PR9uIZcd3S3/C45MuvrsSHNvuX5rdjECterhNgPzzQ19IDQ2jKbcrhX7WK5UNLltrFD8pGhHXLUNBIKS6Rnh/vl8v51MujwkVAgWyqqcSP7SlarXlg8cpLWIwPeoOicyT0nXvQr5ymW6wWp19hkoH3dmaTS5XNaKMg5zPWCdh5vC5ONIUaRKwHRbAatNbBl2y2YfZomf9+7Wk4NRKfvw5X0xpF9KuiyEvYtV4eV5bnFMlsHCbEX53tdWwxOOou1G3cqWFyg0lXrJgJSP68f3it78ta00V63Vy6Mr5R1bZB0DTBe5NGKajJY7grKald5drLHq0lmauFMrHjc5epRnpsJdREOedUCCBVM4lzQRw47tl/XJZvlhlCtYBPIH0Evb2uP7+VaUNy6S3aXZnqID5fSUtB1OUHrUX3OduFxudS1D2Ol/myyYCPoMqkX5aWx5dPuJM4Urg7F8tzPC4o8Hg/dbYTYBcVyDbCyvDgLNjYafj05LN8ZPyi5it35JwVjcm50mQRMIzWcCv6O3fqk7K2oJsN2vUGLSI8pJAYLKtgKyWw8XlaV6yUQ8Ijb45ZEwv45sC1D1yW6b49EiznR3T6ZWLMOPnNpd7ChkUpmJRz2i14ocVOoRnC+LE3lGbS6F39AC4i75FJ9y8ZZfLiUlYf0UeUcwugpu8C14sWx5cqafafJgv3jiSElmF/Vs0p9DSrvwaDzXVetEcsUhNWeF1qxCbEXimVSN7hALSSWx4t5ZSt7MJOw3I+ddIyDOtlkQXMyuVJRthTHZLyi6hESj0pT9ZtCvFA5xQKLF6rqIKgmy+pozUA8IDk8OZntGFtd76NbZP0vbhd/onxeWIXWhmhUdr/gLBndfIK0O4ViSQWwIYhNn8xy46yO6rLKM3CAi6vXVQ5r2wEL9tR9Y6WcPFgclZPdveKxUTCjevyC6KCENLf8zGTB/tXksBLM/9i3VtwFnTOFq2BcZ8vrkc44P9pBeW3G54MQO2n/7fwG0yFrVNuTsOcTy0j2vPbQ1llC+VhfSN46sLFthPKonpW/FYdnCeVBV0A2a3GLUAbaIkPPugEsPlElccJiuF2er2DIJ+lUrmMEF4TycbfdKr4poWyAz3E//nsngAA2iD+8fqQ2kGOAPAOnEHf55DgtLppK1SgzIXk1JhAbqHbzjHCfvCy2wvTbRP6cGpPPHt0lqXxBrUMYZjUbWrFnw816QuyHleUF6JSKjp3goo3QkUoyelH1XP2mItXTIy45Kzoop4fs7ftq5GuONNQ9unX+pTZlu0bloRpuTWO413yjxoo6N59qJBjwKgHRMZsLuq4qyqDyDIDPcZZd/4v/ldHjju8ISzb6y6NRv/j9HslmC/N+bT6fl9u++y154IF7xev1yrPPfL6c+ZznVf3aRx5+SH760x/K0eGj0t/XL+ec8yI5+ZTHSbuDHIPglDsH1XknEHV51aboNn18OqciKQUlmE91983aLF0qTw7FJahp6hpanPp92HD+5JGd8v9iJy64Sd3dYpkZAYSQxtH+q5IGQ7FcW8/yDoyEOrxtllBe6fHLm/vXy9PCvW0hlFE1eFAfnSWUg+KWE7WeOYUycC9h9nQ3WLDRe0cWxufV1LHUCYFermJRQocPy5o7f6Ws13OdAXC/PzEh0b17pFOAKyDg94hbm/+89+MffU/27t0rb3rzVfLyC14pt//vT+X+++6Z9XUHD+yXm276ojz19KfJO655lzztac+Qr3zlBjlwYJ90AtgcQq6Bkwi5PHK8FhevaamUlqLcVxyWdGn+TZDFcFIgKq/tXS0+07Vyey4l1+58WJIuXlsqYWW5OqzxEGIvrCwvIJRpaZlfLBdLJfnxxGH5ycSQGn9hgEv9GeE+eV6k39Yer0aCvrRHi2OSs/wlIgOugKx1hRcU+1gUd4pl1k7wtHncmqSZEl6T/ToQLNuv223Bo+XzEhwakvDhQ+oWOnRIQkeGRCvWvknim7RuUrUzqJDmcgVlx56crB7Qlstl5Y9//INcfvmbZc2atep26DmH5De/vVMe9/gnWr72b3+7W445drM885nPVp8PDJ4pDz70oNx7799k1ao10u5gM83nx+gt+0XoUgi6PNMV5uzUtQEf71MV5l4Ju+wdF3aMP6x6lb86sl9SU5bv3dm0vHf3I3JV/8a2GLHYLLA5HQhwXFslLPIQYi8Uy/MAoUyxPHsxDxCocTiflS+N7JWduZTla+KaR17Rs1I2+kLSLhcWJF0j8doMJP56V1T6tLmryQYM95o/qErnxlNH2a/dmYyElCg+LOFDB1X1ODh8VFxLVPgF/8LvtXYinSlINOpWqeaZzGwReODAftH1omzYuGn6vk2bNskvf3m7sq6bLemnPeV0eWJx9s/IpK0j+doVHPPBYHksodOuu7Bcb9Z6ZKs+Lpkpy29+SjCf4u6VmMteAbvGG5Q39K+Vm0b2yYRefs0P5bLy4aHtcvXgJlntDdj6+9oVrEPYyz2bdttoJcTpUCzPg64zgr8SXJiwm3vX5LDcMnZg1kioxwdi8uJYe4yEAvmSrmYnj5Zys2zXSLsOuGp7izDca26QcgsBSGqzXycSGUc9VZ7kpIQPHZbw4bIohjgOjI3V/XOMM8V8/gz0LW+PRiW1fIV0CnAJYJwUQr8qnScTE+MSDofF7Z45z0SiMckX8pJMJSUcmQlDXF7xnBw6eEC2b3tUnv70Z0gngEsJcg3Qm5vLOe984XVpUxXmCUlNVb/RW/xAsTxWqreGTdV6WObxy2X96+Smkb0yXCy3ZIwVC/KRoR1y1cBG2eRvj83oRkIb9twFANyMWd2EkKVBsbzAxRuCmcyQLBXlM7u2yN0J62I54NLkJbHl8rhgrG2erolSTh6pYrvud/llnStSV491OdyL27nVQB8i5s+S+YH9OpNuof26VBIfxBvs06gaHypXjn2T1vTqWij4fJIaXCapgYHyx8FBCYwMyzG3/1yJZvM7y/x5cGxUTv7KjbL7+S+UoSc+qezh7wg7dlFVl5Mpax96PpcTt8d6GfZMCedCYW47cjI5KTd95QZVkT715PYP+DJbsZFv4ESxDNBSdLwWk+16QianpiToUlJzmE+UHunX7K349rq9clnfOvnK6D45WCifQzFS6uNHdsqVA+tVj3M3Y7TKqQBJh7txWlHo4RxqQuyBYnkBnGYHayX3pyfURXu8wgq4yReSl8dXSI/b2zYX2P2llOzSE5ZphFiWr3dFFrXggXUwzwCrWXhVUmlZMJC58fvd6lyDsUNNQdclMDoyI4ynxLEnU39VOxcKSXpgUJKDg0oU45aLxmYJ3Uxfn+xwuWTdb34jvuRMy0MhGFRC3Tv1u9HjvPH2n0lsz2557JzzpNgB1uxMtiCxqF887oLlveDx+KRYIYoLU+dXr6+6tXcyMS6f//z/SEkXed0/XNoR6eEG+bwuAdW37FzcLk2O02KyU0/IuJQdSXhFH9bHZLPEZZmGXG/7iLg9cmnfWvnmxAHZmSm3PGVLunz6yC5VeUaKdrdXlzX1HqBYrmwhdLeHwY8Qx0OxvAAUyyJZXZfvjB2UXyeHLc+NW1zywuiAPC3UHknXhu0afWcjJWulMzBlu0aYy2KAfTa3wIiYbkTDuBNuIswL3jp+v1fSSWsrgJ2J1MEjR6ZDt9THocPizteftp2NxSQ1MCWKpz7mw+Gav3/smGNlbOMmiR48INFiThJunyRWrhJ3Licb/u+X0rvrsemv7X/kYQkfPCjbXnaBpFa0ty0bG3TZXEH86Ek3vc7xnrgkk0nRi0XRpla2k4kJNUIqFJgtusbHx+S6z31a/fvKK6+y2LQ75Xpbmtpkwzgpp4Lr3TFaVB4rTcqo6Vry6NSYqVWavRZptDVdvnyDfPXIXnk4VXZ64Pd8fni3vFZfI8+M9Ek3V1FZQa18TmDDbtELQkgHQrFM5mVXLiU3DO+VQ1MWMIPlHp9cGF8pK9ooaCQxZbs2Ek0N+qZs1+4lCH7XVDI4scKE8IXBLF5UR+wQB1ouJ6GpRGrDSh1EInWd7SQll0syPT1WK/XAgBQDNrzfNU0Sq9eIRPySmEqJxs/dce55suz++2TN7383/XgDsGV/9UbZ87wXyOEnPbmtbdmYtxyNBlTgnRHghhRrTXPLrt27ZNOmY9R9O3fulHXr1s+qGCM5+4tf+B9xaS654s1vk2isMyuKxYIumsfl+NG56AfdKBG1aXy0NOPI2KFPSFF0WatFbP19WknkstUb5aa9j8l9mbJgxhUHbq+kXpCz/3977wHnXFqW/9/pyWTqW7Z3WHrvvUoTKUtR4Af6QxABFZEmiqgUxfZDAcufDiKIShMVQYRdikgTkM4usGzfd98yNZOe/D/Xc+bMJJkkk56T5PvdTz4z78zsvHlPTs55rue+7utePM1mVRj6waPgHxNdX1iPAAwKxHIbZln7KL34Y5s32UfXj+0zN91v/pA9NH3YBZ5MSlXn+uq2XdnEdi2RrB7lfoIw/DmquBCa9ysPq2I6DWiRl4hHLdNDT3ckm90RxV7olvqL1RfcbSJ1JRy27OHDexXjo0cte/iIVWIjtsOGQnbTHe9kmTPOsIs+8Qk3d9m3ZV/wHx+3Bd+WPQjBPgb0suTzRUumYlbc9F7veDxud7/HPeyDH3i/PeUp/8fW19ftsss+aU956tPd9zc31i2ZSlksFncJ2SdOnrBfff6v735P6Hv6mWmhrEqh2ygIuFreEcznWdoJ5mPVvVTyn1S2rFSt2gXh+YGFLEkAxSIRe+LSmZYKR+yL23u5IR9Yv9H1MqsdatZCnTy78WSsRUYFaxGAwRKqMpCtJblcMXDJtKPgeKlgbz95tf2wYSTUYjhqv3DO+XZWOeZGNkwCpR3b9ckG23XCwnZReNHmerRd16JKkRbAmzsLYPDQmm1pMWXrGznmPrYZFSVd0Bj8tO8c29q0uZ1EaoniOSVSr3tiqRvK0Zhljxzx+ot3xLF6iatjaG5bqKksNxLJ5+2CT/+nrfz4x3VfV7X7h49/gmXOPMsmlcXFpAty8/vTC4WCffCD77dvfvN/LZlI2oMf8lB7wAMe4r73ohf9qj31KU+3u9/jXvZHf/Rqu+mmm/b9vnvc/Z72lKc+w6aFSb2e3ljZdlkYtZwRStnNw4sDEbD6FSsraVtd3XbC+dNbJ+3ShtaoB6QP2dNXzp6YtqhBoDnLcuesr0/HCLVBsbSUsnicehjAIEAstyGbLdhWi8XcNKJ9ky9sr9rfr15vOaXH1HC75II9bul0O/vwoq2uZiai6r5VLTrbtT8X02clFHdBXgpqGVQ4UzQSPlDwzBrqO0yl47axMXsbTp2g9eziQtJVlXdDn6pVS6yv7fYWewFcx+oCsbqZWbzXW6xE6iOWW1oOTCBUO7HsqFbttG990875r8/X2chVCb/6IT9lx+5294m0ZcfjEbeInaV7S7duC50b2mSbNG6qZO2aaqbua0dDSbtFeGkgAnZ5OWVbWzkrlbzrxX9nVu3fNus3UO6WWnIzmpXcPQvo/aTRbNpEgD0QywCDg22nA+bUzQpb5ZK9Z/U6+59sfbUqEQq7ucman6zxDN5xsUCj53hDNWs/rmzss12fG0rbkVByoFa1cCiM7anZcYmGCPdqQzwatsgNN9rSldfs9RgfO9ZbInU6XWej1ueFhYWJFJN1tuw73NG2nC3745bc2LFlVyp2wX/+h0vL/vGjHzNxtmxvjFTMbbBprjA0D/maxOOjJOxIJWQ/qe5tbh2v5tx87VuHl/sWzHvJz94G8L3TK5YMh+3D6zfutkt9Nbtu2RNle/7hCywRkI2x4fcsT/+/s1tmaf0KMGyoLLe5KamynM1Of7XwO7lNe8fJa2y9Up/mfH4sZU9aOtNWorFde1x6PmFra9lA266vqGzUBa6IuIXtZgOyXTeSTsetWCiNbuzPhDCXirne91yOlPBQqWSpE8d3ZhfvpFIreKuHROqcEqkbZhiX5gabvhuIynKDLfv8Sz9th370w7qv55aWPFv2WWfbNNrvZ5X0XNxK5bLl88HvW27GWjXvRkvVypWlUNxuE17uq+I7N6dxYlXbbjhvvp/bsvevXe8Ssn1uFp+zXztygRs9Nc1o4/vIkXk7frz7efDTjMIEtSkHAP2DWG5BsVh2YlkJptNKoVKxD67fYJ/aahwJZfaQ+SN2//Shup1w2Z2SyahtbATTPpjZsV1nG2zXyxZ3QSuDsl0360HcrrXSwu7NOrddCPQImGHgJVIfq5thrNFNPSVSr6zsqxhPw9zhbsWyo1q1o9/+lp37+c/ts2Vf8+CH2o13v8fEVNJ9q/HGZp4KUBN0n9G9Z3uCN6s3qgWXjF37rl+wmN02stJzOKaOixxeW1v7QxOvLGzb361e52Yw+5wdS9pvHL3QliPTLZoklk+dyuDwqkHW9FQqNnOBbwDDALHcxiq3vZ13onkaubqQtbedvNqubxgJdTQStycvn2lnNRkJ1e5GPW67kZJIGxcmukWcE0q7nrFh3jCWl1K2sZnjRj2D4V5+IvWuML7xRi+Rusvf4xKpVSmumWGshOqRJ1IHWSzvMHf8Jrvo47Jl17eMnLr4Fp4te0KSoeVIKZUqU70hO2shX81yM37oRkntXQPnLGq3j6xYPNR9qF4sFnECqFUOxPXF3M4oqb11y5FI3F502oV2WnQ6NtmacehQ2jY2su79BHsuhFQqzlgtgAGAWG5BoVDygnem7OIrW+x/bB63D68fq7uBi3vNLdvDF45avMWut2cBM9veDo5YLlcrbjFyUxPb9UXhBUuHhis2JjmMZphMXbhXteoSqdM7idT+uKbETh9tN5RjMcuffpptHtoTx6ogjyORehLFsl+9v0C27B9eUff1/OKis2VvaY5zwInHwpZIxmdy4sIsXVe3qyW7orJeZ5FOWsQJ5mSXbUHarJ4/oBVK0yzedaq+rWopHHUV5nPik7GR1C3Ly3NuXaJ1G3hoU0VimbFaAP2DWG6BLrpKK1Xv8rRwUiOhTl1jl+fr0zrnwxE3n/EWifkDKyEaGaWRWkEgUy3Z98trtm31N8ilHdv1KNJAo5GQzaUT0yMKB8REJ4QrkXptta5arOCt2Hb9+6YTislkTSK19ygfOWzRWNSND5pl+hHLu7bs73zbs2WXy/W27Ac9xG68xz0Db8umhWM2jk2uWnaCuVDjfdKG7u0jh7rK0dAmglKOD0p+XisX7d2nrrXj5b1rzFwobC84eqHdPJG2aWNxMeXWbEFZmwQB9StLMEejs7UJCzAMEMst0IVXO/7TMtz9S5lV18+UbRgJdevEvD1+6XRLhw++YS8sJJxlUBb1cXOskrUfVtbrbNfi7NCcnR5KjaxPR3bBRDLGGJhJDfeqVCx18kRdf7GqxtF89yKuMD9fZ6PWLOPi/Pw+wZZMxV1K+LS2eIxMLO+gfvCbKS17fa3u66s3v9jZsoMcfjYx75Mx4IITi+VA3G8GQaFatssrG5avydSIWsgJ5vkuHFCyHEssH9TekqmU7G9PXWfXlfY2cuOhkEvJvl1qwaYJVdu1VguS623caPa0Ksuy7gNAfyCW24hl9cBMerulbpjvXb3evrxdv5DUTfPRC6fbXVKLHQtL7Whrp784Rmt6uVp1vcnqUa4ltmO77mbRMQgUehaLRizDTXp/uFe2MNZzpVkitfpd62YYK5G61L1QUQpz/Qzjo1bqsFdWCzu1eEz6tSUoYtm3ZZ9/2aV2+IrL99uyH3eJbZ1zrgXVih1PsNk2rSFfjRTdtIb1uhDKiIVc6JfSsju1HG9uZp3L6yDylYr93dp1Lvyr9u971uFz7R5zyzYtqEVMdmNaGurXJjousdh0p6EDjALEchuxvL4e3BFJnaBxErJdr5brFxvnxpJuJNThaGc3Z5/l5ZRtbeWsVKqOrffre01s14sWswvDCyOxXTdb0IUsZFnsX3UsLSadEBqXMyOcz1v6pmO7wlhV49SJEz0lUmcPHdqXSF2Jd/fe8YnIiZCI2naGCsggxbL3YlXtyHe/Y+d97rN1tmy9htc86MF2wz3vHThbtp7O4sJ43ytBZVo3Eko7ORuZmvuY7ly3Dq/YofDBIVxLS0lXQS12OKpQAv0f126w7+X3Zj/rXfD0lbPtgfOHbVosxxKHtEPtoYqyxHI8jlgG6BfeRVOIbo4fWb/R/mPzRF2El27ID54/bA9IH7ZID4tGVaDHVQ27ydmu61NFxVmhOTtjhLbrRiSUqw3PadbRa6HHqBb/0e3tmt5ib4ZxcvVU94nUkYhLoM64GcaeMNafq9HBXSblQpi20MDAEArZidvezjKnn2EXfeLfLbXmuWlC1aqdd+mnbfGqq+xHj3lcoGzZup6WyhUX3DQtduNBoY4h9ehOG9rUvTi8ZD+ubNiGeRvZuiJ8t7Jqt7RlOxreP4miFl1XwxrSva8JqTkaU/WU5bPsIxs32tezXiChrszvWb3OpWY/auHoxI8XkiV90v8Ng2aap1AAjBoqy1NWWb6ukLO3nrrari3WB04djsTsyUtn9pWGqV6ptbXtkVZAKju26xub2K5VTV4Yse26kfRc3Iql6emrC3ToWbVq8c3NemF87MaeEqlL8Xj9qCYlUi8PP5E6PZ+wbDZvNZNdZpaBV5YbbdmfucwOX/6Duq8XFhbsCtmyzz3PghWGRytHI5FwyLUsTEMidqt725WVTVuzepfJxeFFOyM817aXW/fgbJf2dP19H988bl/YXq37+sMXjri1wSSLTVVPVUXV+gQ8IhG9f5JUlgEGAJXlKUE3wk9tnbAPrt1YN6JC3D21ZI9aOM3ibje6N/z76Ch3K7M7tutau5pY2LFda8d83ITCIatin2ziQKj2n0i9urpvhnEs2/1iqJhK1SdSHzlq+aWlkVtyw06HVxHKI0A2+St/6mG2cfY5dt7nPmORnb50bbbc5r3vsWsf8CC7/t73CYQtu1SsWDIxvfO0+7mneS4VrwI/bagfWzkbV1W37GR1b9Poih0H1dnh5qnVOha9CFv9faoiz4Uj9p9bJ3a/LgfadqVsz1g5pyfHWXAqy+N+FsFiGt8zAOMCsTwFF5rVUtHeceqaup4kkQ5H7JLFM+xWyfYjoTrBvzmP6ricqOTs8sr6Ptv1maE5O3OMtutGZBPE7rR/A6Eb90GoXLbkyZNubrGbX3zsBjeqKVLovq83P79g20ePeKFbO+K4mE4HQhRFwhGraaWFYRMK2cnb3MYyp59uN5Mte3V115Z97mcutYWrr7IfPVa27PGO0ilXvEYOOTKmYUzSoNC9RtdWiTwFO04juo+db/MudOum6l4F/ceVTbfpfV4ove9eV6l4tv1e/74HzR+2VDhs/7px0+7d9fOZVWfJfs7h8wKxCd0t2LD3QwYCwODAht2CfL44EWERX91es79dvc7tDNdyy0TaCeX5SHRglh7NMjxovuOgrGnXV+v/HsVoqZq82GFi6KwEWU1aim2oWHQJ1Hujmo7Z3E3H6gKZOkFHO7+87MYzZXfGNOljp4nU4wqh0XmiFg8Yrg27kXCxaOd99jI78v3v1329ML9gP3zc423zvPPH+pJM25ikgabqK8yqPN19/hJ7N1S37YaGdiNlcqj6XCuYFWSlkMDNzf7eO/+b3bAPrt9Q1/l8q8S8/eqR8y3p2WAmBiVhKyX85Mn6gsGsowkmBHwB9A+V5RYEfSM7Wynb+1avt/9u6D+KWcgetXias14PsvrqWeGGe1Byzna9bls7oSc+8xa1i8KLgdzxHmfoWVBxoWfVqkVyOSeEa2cYK5Falb1uqITDlls5VJdGvX3kSM+J1OMiHAlZsYcxVdA/lVjMfvLQh9mmbNmfuWzPlr21abd+39/Ztfd/oF1/n/uOzYFQKVcs4tpkEMt1x6VSsdAMHBbdR84KpS1SCdm1NRvF2jSW80B9zLXurkHc2++YWrRkOGzvX73eijs15u/nt+zPjv/YXnjkwoFttI8CbNgAMEyoLLcglysGdmbf5fmMvePk1XaiYSTU2dGkPWn5TDva5UioTohFwy60aVihZyd3bNeN/dZKutbuelBs17XoOamyvDaBQXCDJprJ7PYXL564yZLXX+96jrulHI26BGrPRu3ZqTW6aZCJ1OOC+crjqyzXkjx1yrNlnzpV9/X1Cy60H8qWne6/baWX62siOX1jkvplLhVzYjGfn51NJrUgqY+5liOhhN0yvOwcO4O+F/+ksG1/t3qd5RQ/vsOZ0YT9xtEL7dAQ1hLDuhcfOTJvx49vjvupBAoqywCDAbHcgmy2ELiFi+YzfnT9mP375vE6SSkZ+cD0YTcWalgBHZrZl0rFBm5Nl+36J5VNu67Bdh3ZsV0vBcx23divvDDFaa0tE6k3NnZHNDmBfOxGF5zUSyJ1Y/BWbmVFB9amDVWV9f7JbDFfedxi2b0exaKd+7nP2tHvfbfu64X0vP3ocY+3jfMvGO3zmcVrSQekkl7w2azNsT9VyduV1fpr6koo7mYxJ2Jhl3K8tja4Tdobijl79+q1tlXTzqUJGi86epGdHjt49nMQOHp0wU6c2CJDpAbEMsBgQCy3YHu7YJlMcMSybmZvPXmNXV2sv0Gu7IyEOq+PkVCdMKg+qVry1bJLu95ssF2nne16weKhSOBHm2gU0CT0tvdEteqqcI0zjGO57hdpxdRcXfCWeowLi4uBCN4aBdpsikQjlssiloMgln0O/eD7dv5lsmXvXYOqoZBdd7/723X3ud9IN24WF5O2nckT8lWD7jm6zjbLP5h21qsFNzaxdmN80WJ2h/ghO7SUHnh+yMlSwd65eq2t1TjWFsJRV2Ee9vpiEKiyfOpUhvyQGpQzo/cQAPQHYrlF/4sqy5lMIRDP5dKtk/aB9Rus0NDreZfUoj164XRLjGBBpwuuFvyDqrZr5/wHlbV9tuvTQyk7O6C265HNEx4DSqRWP/Gckqhv9BKp5266qadE6sLSomUO+8LY++gSqWeYRDLqeg0LM2QnnQSxLJKrp+yiT3zc5k6erPv6+vkX2I8e+3grzo/Glj0/H3fnR6E43WFW3RCPhS0WjwbiXjwONqtF+2Flwyo198n5UNTud/gcy6wN/r6zUS7au1avtZtKe8c7FQrbrx290G6RCPY1/PDheTdnuTzlYXDdbsAlGEsH0DeI5RahItls0VWXx8l6uWjvPHWtfTtXb8fSzevxS2fYbZMLI004VuJkv4sWif+fVLbs2mpmn+36gvC8LYcmw/IlYpGwJediA622j8qCquAtN6ZpZ1yTEqp7SaSWbXrXRr1jpZ47shQIERQkkuq9LFVc4jEESyyLUKlk58mW/d3v1H29kE47wbxxwYVDfw6z2J/b2TU2Htj8kFGQqRZ3Zy/7zEdidtvQssVt8O4rTdb429Vr7dpiri449HlHzrc7pBYtqBw6lHYb16US19jaNHlNYQCA/kAsN0E7k6osSzCPi69vr+/rIRIXx+fskqUzbXHESZXqt1S1t58NBNmuv19es40G2/Xcju06EXDb9SSG8rhE6p2+Yj+VOnXyZE+J1NlDh+tEsYK4GhOpZXJIzSUsE+BjMg5Sc3E3MkqCGYInln0OXf4DO/+ySy1SrLFlm9l1972/s2YP05Y9q/257ZAFW8F4s97Lna2WnGAu1gx6SljEbh9ZsVRo8GuBfKVi7127zn5c2LN668x/1qFz7Z7pFQsiKytz7l7MhuQeiGWAMYjlZzzjGfblL3+5/heEQjY3N2cXXHCB/cIv/II97nGPs1HyoQ99yH7rt37LPvWpT9k555zjnqN4z3ves+9nc7mc+3n97Pe//31bX1+3dDptZ555pj3wgQ+0Jz3pSXbuuee2Fcuf//xn7eUvf5F9/vNf3fe9L3/5i/aWt/y1XXnlj+zQocN2ySVPtqc+9el1luJrr73G3vjG19s3v/l1i0Qi9uAH/5Q973m/ZumdBNZcpWzvX7vePp9Z3Tdn+BELR+1ec8tjsSjPzXmiqFexvOps1+t1N3txWihpZ4fSLuVz0giaRTC2tbVPGCfX1npLpHb2aU8UZ46eZjklUkciHc3j1gbCdkCOSVDQHF2JoEqZOWNBFssisbZqN/u4bNkn6r6+cd75biZzcX44jp5EIuLGR81if24rdFtYWkwxcWBns1kTIwo199CYhZ1gTodiQwkU/ce1G+y7+b1kbt2ln7p8lj1k4YgFDc1Z1vpkUubY/+qvPse+9a3/tTe/+Z12q1vdZt/3n/Skx9id73xXe8Urft/97De+8bXd72kNmEym7LzzzrdHPvLRdsklT7Jok4kRpVLWXv/6P7WvfOUrdurUKTvttNPs3ve+tz3nOc9xa91GfvSjH9n73vc++/znP2833nij+50XX3yxPfaxj7Wf/dmfbfp3dLO2bsenP/1pe97znmc/+MEP9n1Pz+fP//zP7Yc//KEdPnzY/s//+T/2i7/4ixPRrgfTQddbkre5zW3s937v93b/XC6X3ZvqXe96l73sZS+z5eVl9+YIGnoDP//5z7eNjQ376Z/+aXvMYx5jZ5xxhmUyGXeB+Jd/+Rd75zvfab/5m79pT3nKU5v+jq997av2qlf9TtPvffvb37KXveyF9tCHPsye/ezn2je/+Q37m795ozs+z3jG/3U/s7m5aS94wXPdm10XwNXVVfvrv36jXX/99fb617/JfpTP2NtOXWPHa/qF/DEOT14+006LTo5F2Ud7MVdXtuzqJrbr88PztjJBtusWw6fHk0itm1GNKHaJ1Fv140Y6oZRI7LNR55aXe6+gce9qPY+7glCeBPLLK/a9Jz3Zzv385+y073x79+uLV19lt3/729x4qY0LLxr436vzIxzjDVR3TKrjvdQGCTmvbhlechXm3M7gaW0+f7N8ym4XWbGFAU+OiIbC9nPLZ9lHN47Z/2TX3df0Erxv7XrLVMr2M4unBU6sBOzpHIjWh3/wB79v73jHey0Wa7/hcYtb3NJe9KKXu88rlbJby37xi1+wN73p9fa///t1e/WrX2fhmvv2Bz/4j7ayMm8nT560F7/4xU4oX3XVVfb2t7/d/uM//sPe/e53261udavdn//Yxz7mCk83u9nN7JnPfKZdeOGFTgR/5jOfsT/8wz+0z33uc/bXf/3X+17zbtbWErnN+NKXvuSeYzO+8Y1v2HOf+1x71KMeZb/+679u//M//2N/+qd/6o6dRD9AIMXy/Py83elOd9r39Qc84AFux0q7S0ETy1//+tftWc96lj3kIQ+x3//933f/hloe+tCH2i/90i/Z3//937uLwsLCoj34wQ/b/f72dsbe85532fve97euApxtEgb8jne82S6++Jb2yle+xv35Xve6j5VKJXvPe95pP/uzT7FEImkf+cgHbGNj3d729r+zm1Ixi5eL9pxzzrTXv+iF9pbL/9e+mgrV1V11Sbpf+pA9dP6IRSfgLiBhrARP7XzHLWwpi9gPqhvua7XMWcQuCi9OnO26qQDqZAFXqdjCNVc7MVuYn7fNc8/rXIxWKi6RulEYR3Pd2xILc+maRGrvY2FhYcArjA6PyYyhI8xxmRw01/vqBz3YNs8+2y649NO7tuzYdsZu9f732fX3ua9de/8Huvfn6V/7qiVX1yy3smzH7nI3sx5ngmvMbe1iF/a9g2b+kMR3BPOPQ5u2uZNarZDMb5VX7TbhZZeWfX1124nppEXsrNBcX+eURlE+fvF0S4XDdW63f9445gTzExZPt8syp+x4KW9Howl7yPxhi47tHJ6880Nr0Suv/LG94x1vsV/+5V9p+7Nzc2m73e1uX/e1+93vAXb++RfYG97wZ/af//kJe/jDH+W+rmLNG9/4/+xd73q3veMd79j9+Xve8572Uz/1U/b4xz/efvu3f9ut14VErYTy/e9/f/uLv/iLugqy1vP6/17wghfYv//7vztB3OvaOplM2hOf+MTd729tbdlb3/pW91hYWLDt7f0J729605vs1re+tRPIvtbQ2vr/+//+P/v5n/959zsBhs3Aml0SiYTF4/HdXSeFZL3tbW+zf/qnf7IbbrjBzj77bHv605++a5P2+chHPuJ2uH784x/bysqK25X6tV/7Nfe7xH/+53+6N/v3vvc9KxaLu1brVjtUjeTzeXv5y1/ufu+rXvUq9ybTm+8f//Ef3fee+tSn2m1ve1v3d1566aXu+b/hDX9h97znfSwc9p7Dv/7rP9u//MtH7Dd+42V28uQJe+c731r3dxQKBfv61//HfvEXf7nu6w9+8EOdwNaF6+53v5d96Uv/bbd+wiX2uuyNtrq1Y7U7Ome3fOdf25ej9YJlKRy1Jy2faRfG5yw4tL4Znajk3JiLWotYM46GknbOhNque2FFo2k++QlL1Mwhzi8s2FUPe4St3nJvV3c3kfr4cS+J2iVS3+iCuGr7Jzslv7joxjNld8Y0qWJcmvFE6nGhtSOdypPJ6sW3cJtKSstOnzjuvqYr19lf+C878s1vWjyzVdf/f/6nP2U33ONeds1DHtrTzPnZuCp2D5Xl+orvnRaO2jfWj7u0bKHwr29V6lu3xJXVLTu7OmcXRXoP5tKa6JELp9lcKGL/sbXXmvCfWyfco5Z/Wr/BHj5/1J68cqaNmkncjLz5zW9hZ5xxplsnPvCBD7Fb3erWXf+OJz7xZ93//5GPfHBXLP/937/HCdfb3OZ2+37+0KFDbk185ZVXOnGqNkqt1bWpojVyM6v1Ix7xCCew+11bv/rVr7YHPehBzl0pPvCBD7if/93f/V07fvy4/eVf/uW+tbWqzhLqjc9Hz1lV5vve975dHzOAoYtlVQ/1pvCRFeK6666zv/qrv3K2C79nWbtM2rX65V/+Zbvzne/seia0sySrxq/8ireD9t73vte9eZ785Cfbi170IrvmmmvsT/7kT1y/g75+2WWXuZ/V7pHecLKEqJ9C37vd7W5nd7zjHQ98vhLiEu7aRRMvfOEL3XORZVxvWO2iySaiz8866yz7uZ/7Ofvnf/5n+853vmW3v/1d3f9z3/s+wB772Ce4Hay3v/3N+/6O66+/zgn58847r+7rZ5/t9WhcffVVTizfuDJvyz/zU5atmWMoQg0XpzsmF+0xi6dZMhysymurm5GE8vcq7Xtjtdd8fmjBDoUn2HbdwEF6X0L54g99YN/X45ub7uvXPPBBVkkkbe7GGyx97JillEhd6U5WaSZsbnmlzkatqnF5TLutM7IH0h2s9Cea/PKyff+JT7Jzv/B5O+1b39r9emJrc//2YbVqZ37pv92n3Qpm/a6g2VqDQBexKjMlmG8dXbYfFNdMSSDtuK66LTXdl2AWD5g/bKlwxNmyW70i+vontrxNpXEI5knkBS94sX3lK1+y173uVfa2t73nQDt2IxK5d73r3V1lWWtzZeF86UtfdFXnSIsg2NrqsFCv8b3uda9dEduMP/7jP+57bS079oc//GF79rOf7f4fVaT19VQq5YR2I9IEWlsrE6mW888/332U4EcsQyDFst4M2i2qRTf4W9ziFvaGN7zBHvzgB7sTWLtFEsB+T8H97nc/93NvfvOb7WlPe5otLS05gS1LyGtf+9rd35XNZu3f/u3f3BtEzfyXXHKJveIVr9j9voS3LCHabepELH/0ox+1pzxFNuiE+1yV6r/7u7+zu93tbu77qlQ/+tGPdtaOvQvPXV0f9u13HC9nn31O279DVhLfJlOLduyENhFUNZh/4mMPfL5PXjzD7ji3ZJO0kFFF+SBuFVq2VHi0Cd5jpVJxFWURamEoPO8zl3WfSH14J5Ha9Rmf5iVSd3lzHTasbetB/kyJLfsBD7LNs86x8z/1SYvubBi3em+f+eUv2jUPeGBXlmzeN9DNuSJ31s3Ci/ajyrqtW+lAwXxBZb5vm//d55bdGKkPbNzY9uf+Y+u4XbJ0+hgt2ZPD4uKivfSlv+2CY+VafM5znt/171CgrISy2vxCobAVCnk788yzOrKmqzilR6MgFbWFMaE1vMR4r2trCfLvfve7u7+vscDUiHJ+RKO9W+FhtWtvgGHTtXqRUJblQtx0001u90jCVh8vusgLPfniF7/oRJR2jWrfbPrz3/zN3zjrhMIDFDzwsIft9QYL9T/oIfzdJ4lNCfCrr77avrWzsy97xkHo919xxRW7b1YlZN/nPvfZfTOLm9/85s52UrsB4PUlZ5tWyfyv1X+vsvu12q/7n+sicUUhY9HDhw58zpdlTtp38lu2EInaUiRqC+GoGxPlf0yGwmOpPjT/d9tuj/JB/Li6YalK1PUyx0KRnY9h76OFJ9qW3eypL1x7dZ31et//02X12KVSn366lZJJTxyHQpZYX3M9lOVY3CrxmPtYjsfd98v6GRYqwUDhRON+DgGj9noyESJRoXpbW1YNy8mxbPMn6u2ntbh/WrVqZ3z9q3bsHvfq+K8IhbwDMcGXwqGg+11Y58mMHxdtuOetbPlqxTbyJdss5y1XLdvWTtjXQdxg23ZOqF50tENruGy1YidLBTtVLtqpUtFOlQt2ZX774P/XzC7NnLSHLx61kZ4n4dDEvH9qr4H3v/8D7BGPeJS9973vtgc96CF2y5oWrdp1Zet/m3ft0L/fF7Oq+nayVtTPNUNhYA9/+MPrvqZ2SqVW97q2luiVE7VTWj03HzIeILBiWTs6t/dLrrIM3/GOLlZeMe6yXasfYm1nXI12lZpx7Ngx158s2tk+FHWv5G3tWOlNL+uF/2bsxJql6rD/BpeF+5vf/Ka95CUvqfsZJVJL0MvW7XPVVT+xe9/7PnbkyP4RIXNzno249nvnnHO6+xiNVuu+7h+H008/bJW5zg718XLRPVoRC4VsORq3pVjMlqLeY7n2c32MxSwxJAt3MlmfuJnJVcwOLixbziqW84O+mrx0Es56zv4j6X8e8r8WdSFnQbQpxuP7X9uF8uBGJ6knMn38Jvfohkos6uYgt3zEYnufJ2q/V/P1nUd1R6B3Smx+euz2gxyVBHvoMjCfDuAxqVYttrZmyRuPWeLYTZY85n2MNkt2bMNiZstyi6mu/3qNSoJ65uenP8RHa5pCtWLZcsmylZ3Hzue5skRyjSjO9vD7E2FbWah3v5WrVVstFuxEIW8nigU7ro/u87z7PNdlW1Atmw3roVEQi0Um5lyJxbx1g3+MXvOaV7mJK3/8x6+xD37wgxaJhC2ZjLnvN/5sIxsbq65N8KKLznFiWev01dXjlkg0X3eqV1lFLjk8tRaXC7JRxGrsk3qKfeQEvfzyy/taW8stqv+nUxT65RfMavEryo0VZ4Bh0bcv9siRI645X5Huf/AHf2D/7//9P2cr8XsafLtELepfkBAW/sfaN5hsGrJb682n4C+NpdKfFfqliq8s3t2gsAH1VovG56NeDeFvAKhHQpXvpz3tGXbixP7K4Pa2Nxe09ntzcyvuAvXd715ud77zXiXhu9/93s4xOtPC24OZ/VesVu24bmTF9vNJVYFWdXoxHN39WFuhXtj5eqcp25qz7HaaG2aAFiuDmQlarFasWK7YVpuNAhm6VIVWIqj7WFudrqlSj0pQ60akirjm5zZSicRNJqhxEi6W3MMyB1cCOhE2rmIdj7uqdcVVsXc+7nxd368mE9pRsXwoXPdzXvXb/39jVpE9NYAbH8MgEg1ZMhELzDzuIKCXXkJ5K5Mfb2VZafNrazZ3/CabU7je8eOWOnHcoh04lw5iIz1v6xvZro7J4kKqq/9nFlhcSNrWVt5VVied8m51uGx5q1jBffSqxfo4zH/hsa2sfXTtGlcd9qrERVsra/jUcFgohZquoYbF4mLK8vmi5fOTMWe5qHtz3VoybC9+8W/ay1/+EvuzP/sLK5crlssV3ff3/+weEqT//d9ftNvd7g62uurd6+9xj3s5h+f2ds7S6f2bb1pDqwdZYliVX7k+FcIlEeoLUK23awtjGgvb79r6v/7rv9z4qU6RTVtra1W5a5HLVGjMFcAoGEgT6SMf+UgXOf+v//qvrlnfr/5K+KpHwUfz2mTXUES9LNva0dIb1A8FEwrXUkT8F77wBSda9fvUo+zz2c9+tiN7hr8zJvRGu8Md7uB20TSzTT3TQul7b3zjG101/PTTT3cXipe+9KVulvRFF93cXaga8e/XtffteDxhd7zjne0zn7nUnvrUZ+yKtUsv/bS78Nz61rdzPxPP5S2vxHB5ypr84ng4bBfH07ZRKbmb2GalM3tVM3LViuVKBTtu7Rd96XDEE9A74tkX07UiWz+jf6//qGXR4k6ktrNiS+QuWMz9jB69Lgn0N2iBoYXFLs2q1Dui2RfR+4S1RdxIjEHRbA23cc55LvVaYV7N/ib9L6VUyq5+yE9ZWKEchbxF8gULFwre5+6j97n3tYL7vvvzzs1plOjfoFTuXpK5W1nLnXDeEdD1VvJGMd74tcafi1t1x3oWSCZ/jT9wml1Hh43S5jWGzYniE544Tp04YZGGvryDqH3Krd7bUr433vluXb723m+bAk04cKoTcly0oSz5WSuAa0WxxjwNioiF3Hgo9RCvKeTLJcQ1f0761odXW7cOdMpKJGaHw1H7YbH9ho6exoPTh0f+mjVbo0zSNfB+93uQPexhj3QjR/2gr9p/U7N/20c+8iE3peVFL3rZ7vd/7ueebpdd9mn77ne/Y3e/+5412l/3asKMbNK+RVrZQp/85Cftd37nd1zIrj+NxkfVY4ndftfWd7nLXboaLat+aOkJPTe1Z/pr60984hOu6qy/G2AUDCxxSYl4smMrrEtpd/r8la98pbN2yIahnuM///M/d03/ChLQbpESrpVsLSu2drb0M3qDaSyU3nx6IyhNT29oDTn/2te+Zm95y1vcG0YV5oPQG1W7WrKHaza0hLc/z01vdiVry4qiC4EGtfsV6ze84Y1d//t/4ReeZS984fPtla98uT360Y+1b3/7my6+/7nP/dXdOXBPWT7L3p094W5eddVPXeFCIXvWofPsrjXhXqVqxdbLnnBe2/1Y3Pdn9RX1imYl6nGj5duLXQnnaMzmzRPXtdXqw+GU3RCqt8nUcsvwsh0JJ+v+XRLN2l33BLS3sPA++l/r/d+kxYoebo+19uZS83nYQruV6Pg+Qe1VrqPWh+07HHbjoZR63biG8Z/GlY969L7xUZ0u+utEtUR20RfUe0I7XCe6ve/tCu+d7+nP3SZwD8pa7qp3A6jg+eFn9VXsBkFdJ8z3Pvc+NnxfC4UB9ntPyNptqgiVSjZ38oQTxP4jdfJE1+e6C9VTXsAZZ9j26Wd4H0873c7+/Odc6nWr97bGR3U7b3lGjBZdE7TWm937V5MKsb4+yPd7wiKWVCuSha1SNStUqpYpVWw7UrVj2bydLG3baqloF8zF7cJUwp2AtcfLb1f7Sba9E81H97yj0XjNI7H7+ZFI3G3oi39avWE39boZGh9FuFdv/MZvvNT+53++YqdOnaz7+vZ2xr79bS+zp6q14fqaS73+6Ec/5PqdNXrKR/OYn/3s59oVV1xub33rW9zYJxWn1Gesta4qwsoZ8rnlLW/pilQqZD3hCU+wJz3pSe5rqlprlrIq0CdOnNjNEep1ba1iWbc873nPs2c+85nOvaoZzXo++p0vfvGLXYo2wESJZVWKNf9YO1YaQP66173OJV+///3vd/0NEsSKq1e8vB9AIFGsXgmd+P/wD//gBLEGmOsh/uiP/she85rXuIeQyFa4mJL3vvrVr3b0vDR2SmnaEu+a1SaRrTe4no920fRm1u/UG12z2/T8ZH85fvyYzc0t7T7Xg1B0/2tf+yf2jne82X77t19iR46cZs9//q/bU5/69N2fecDRs23ryk37cPaUVRf2ei2WI1F76so5dULZHw9xOBp3j3bkK5WWQnptp0qthyzcvaDlpUS7Hq04LR61W6dTlozsiQytS8OliF0bKthGuLIrsBNhCdGwzYWi7fu3dhYk6uOq+7grtMs9S2otaXJWdo9WgjpUW6XeEdSeqI44Ua0WslSL0QxCQviKJzxp35zlwsKiXfWwh/cklN1TjESsnEq5R99o46ZcblnF9gV1rTCv+7kmwrx27uyokAgK53MWzecG8vsqOsYHWM5rP+63nO8FrlkiFrgF/zShc3HuxI4w9ivGp051fR7qNZcQliDOnH6GbUsYHz3NJWE34o+FUup1XbknFOp5zrLOkGmwGk86tfeeXTFcUykepFk6ulMdliCOVMNWqlQtW6naZrlsp0olO1XKOrv0ZqV9TfqKnfYwJ5hr/y07Qtn/vpgPR+y0aMKORON22o4IPm1HGCtUtJOwTX8slFKvG50W45qzPC0sLi7Zi1/8cnvFK15a9/XLL/+BPfe5z3Sf636itbMckPrZxzymfgayX8DJZFbdCFaNbVXitYSs5hw/97nP3a0O+2j9q8KW1u8Sxyp06b1w7rnnurW7kq9rE7N7WVvLEfq9733PTc/pdG1973vf242VUiFNo2RVqdZ4KuUkAYyKUHUGhhiq91n2bf+N3W7hqjAx9V0/97nPt/vc50FDeT5aEF2ez9h6uWhLkZjdIpEeehq0n2y5WiOq/ar1as3nek79mHxXYgrlCruFxWqx+W+Kh0K2GI7tiOfIXm91Qz+1BOlB/yYtIQo1Qtrf5fcF9aCtb63scPVV6r20b/e1itnytddaYmvLCvPztnnueVObVB2LhCwZMcuubu4I63aie3/1e78NfTr6fJ2ojsY6q3w7Eb5fePsp534a+sRSqdjCDde7ELzNSNw2NeKkw/dDJJezuRN71WL1GqvnuNujoeO4ffrpljn9TE8cn3GG5Q4f6d7OXyrZ6V/7qiVX1yy3smzH7nK3rivKPrFo2JKpmG1udlYFnBWWl9THnRvYvGX9Hgneeqt0/WbsoAjVVYcjTr0WylXLaIPbiWGvd1j3YLVODYILknFbicacEJ+rRu1oNFlXIdas5EFRqlTs01sn7Xgp7/6Oh8wfHltFeXk55TJVJqVneRQsLCRdSFhQ1tb6ObVt+hN1ACaFmRDLCiDQrtTb3vY2FxigWdCydstKoje3Uqu126UduJ/85Cf2kpe81C655En7wqxmAQn5rUp5X6U6E67spmbqzwftdA+CVChc1z/dOEbL66eOHth/rH+Tqwzs2uWafBxyuIqeoS+od0dnNVrARxhONiwGvuCvVhuq2DXCe8dy7izonQrzLvtTg8i+sLUmVvJ64R1rGba22+89ovNu+Uc/tPM+9zmLZ/bmYxbS83b1/e9vaze7ed3PRre3dwWxBLLCtxIbHUTvN1BKJHZs1DXCeOVQ4Das4vGIS/MlCK6ZWM521Ytae833N01rN1QHaZbWdduvDsdUHa5WLVep2kap7CzSbuzSgMO0JHg9a3SsTgirQrwSiXcc3DlNLC/PWTZbQCyPUCx3u7ZWBdofDQswScyEWPa5/vrrnU3kK1/5iv3oRz9ythSh/uiLL77Y2T3Ur7GycshddGdRLLcinU649bRSSYUWBBv7eql3qtOVolskyAK+3UdIWSdoSaAAstq072Yp4KlQpG313g9mqe2l3v24s9DS4mvYWwSqBvg904291P7nkQMq7uMkFglbKh23jY3B2KEHTqVSL6olpIvte7rb9YKPI2xt0LiwtWaW87rKdvOwtWZV8lbVWQnlm338393nTft873IXRYfvCuR4w7iQTiim5nYF8fYZZzo7dV4prhMgHpJJzwK7zX1nF82NVRr22nq2qatov1Xa+3yQGc86czwxHLWkNjSrYStUKpYpV2xd1eEdMayH8j8GhcK0ZJU+umuT3ushvuC0JZd8XFEjM+yK5e3tghUKk78hOiliudu1tabnAEwiMyWWO0U9y4jl/aOjNPdvc7M7EaRFhcSzhLRvAV9vENn6emHIp6GW7/MNSd/NKtWykLer7pZddcKrSJcjZpWo2YZSzodk42tGbThZ7cisPXEd6S+crA8i4ZDNzyecbXIWaBa2tr+nO29JNbhnc+7Rqtd7XGFrg0ahWLVWct+CPn/D9W5zYVBnZWFhwYlhTxyf6QK49LVJEMbNSLlFbdWyORb7/pilcrhilgjb6nZu5xq7Uy0esBMoXlMd1vWzXDXLliu2WfJcVr4Y1iZwcUB/c6dhWs04enTBTpzYGpg1fRpYWUnb1lbOii3av2aRUYllgGlnYAFf04RExqTbYQeNl+Dd/f+nG/7RsBYBiba/W/1a7VK/fYHda2VXt8/1Ssk92hFz/dT7hXRjxXouHHVV1Lm5hK03jNHwA2LqU753PtZYv3u1AnYSTub+LTX27rqAspq+6kH3ysv+6L1/JmeERz90GrY2l4pZuVKxfL7cQdhavkVPd+14sSbV7yY29XFcxVzYWi6neSMD+5255eXdNGqvz/h0K6X3QhKnAWmjklTajLA3ZqnGKt2YNaG9o9JgNhglhlM7vcMR26kOl7yJE9eV1T+ccxu3Gt04qFdBYVq+EK4N01LFeDkS6+n6669NEMqNx4VjAgDDAbHc4qKLWK7Hm241nKW3fq8WMerDOrPNJmi1pp+6Npys9s9rFe/zXhc7Sgw/WS66h0ZXtiK500+9Eo/bXCW8z/rtVa5jttBspnZdyEz92JHd0VkDsBP6I7S8v7D2L68PJ2s2h7rWAq6f6fS192ZCVt0iUJUh2DsuYWefbyOWQyGXvFzSYy7d/6HT66DZ2D0kmtfZ1P0/D2jGdtunLGF86PCelVoC+fQzBpP8HnBCGn9WmK6qmO/E8e3StWJ48GOWwjtWaX/UUshyqg6Xy+4+cXUp7z6eGmCYlt7RhyJ7/cJewrRXIdbncwMM0/JBFLY6LqGZ2KDtBmo+AIMBsdwEhPJ+9s2GHgP6+50IjUTt3DY/J5GmALKmo7RqPpfw7hUttnKlgt1Uap/W7PdTN0v89j8uheMtKwxeUE3zWdS1PdW9rhH0f5Y7HKHVOIe6sWLt/xvURufEMhOG945zuWzxxIgvt6GQC/LSYyBUq/Wi2hfdEuQHzPeObWxY+kTruaw+P3jyz9n6zS+2WUQtDJPWg1o/ZslvQxnOmCVt2qV2rNJJi7rxg6oOb5flSirZja5/OOMEsR6DamhQa85pLezSh8YQpoUobHVcqCw3OSpDPhsBZgPEcgvGLQynxYY9DpSOLYubHu0oVj0LXjtRLfu3Rm71igJf9LihlG9bnfD7qevEdENI2UKo+bze2rCbvZnU9fNB+wkn0//lCfbKPqt37Z/VgyfRnNqKWqwaskhlv6Dupko9TZTLVYsELH25a7QBkki4R9c15krF7vTXb7L45mbT5Zs7xxYWbf2im9msCmUdg3LAxHKzMUu1YnhYY5Zc/7AcLrGoZSsVO5ktuFFL15ULQwnTWo5oxFLChWk1VollpQ7SNQtR2K6yHKz3DwBMB4jlFgTo3jj1NuxxoSqpFkR6tCPnrN/1vdNuNnWlaJlQ1Y7nvF63XsWolpvqk9OjHRKjzZK+XT/17ucxOxROtKy41/ZN11kidwR1P9ZI/ftLVrZsqWERW/MLJRf3zaFuCCqbhhFajfgiSKIoaIJoJITDdtXDHmEXf+gD7nRoloZ91cMeHrhxTqMiEg27YMlx0Dhmqfa6MMwxS/qoPxerZtvlskuWPq7e4fL2UMK0jjSxSncSphU0EIXNj4lAKzcel5GckgBTD2IZpq6yPGiS4YidoUcs0TSV9OTJLbfQVaXDVapd+nfzsDKJ7UofYtS3GLYr7ck22Jj43WgFPxRJWLTJCKra0J36WdT11u9e7ZX6t3uL8IPDyZoJaT+czFWpJ+yElEiORGZULJvZ6i1vZVc84Ul2/ic/YYnNzd2vq6IsoazvzypyHVSGFO41vjFLEsRh91+u4iVLr5ZLdr27hmXsVGl4YVru406V+GgfYVpBBBv2frTXQVUZAIYFYrkFU3Jfnaqe5SBvIujYzEei7nG2JdtWcfb6qffEtES2H1amr+tnekUWyePlgnu0Yy4U2Zf03WgFXwlH3KzTRkquEt18FnUxtFOZqvYfTrbdQThZs5nUfl/1uEZoNaNcqlhEM4iLkz8eqlckiFcvvoUtXnu1LZULth6J28Y5581sRbm2slzI9x6gpuuKvwlVm20w7DFLziq9M2pJ1WFdu066ZOntoYZp+Y9hh2kFEWzYzY4JFmwAGB6I5ZYEY4EdFKbRhj0IFMgT1lzZcmf9c6puLEVi7nF+m5+TGN3YFdBeRXqt1gK+8/m25vf2iP7f7VLZbrTW/dQhv596V1BHdj7Gav4cs9NCSQvtiOp4PGKJRNTNWvaq1LW91Pt7qisjCCfbJ6glpmsq1qOoOukcicW55EoYb55/gYUXU7a5kd3fBz+DOHt+m8py45ilWtv07pilAeGPWdrtHQ5FLFoNW77iJ0uX7FhJ1eEdu/QQw7QuXF60ubzZkUhsLGFaQUT3m0kLghs2VNubHZMxvBAAUworN+gI3+I0K/NzuxPLg78rySJ9SGmrB/RTawGr3ulW86n9R6HHF03/l6rcrtLdptitKq8vnpeiMTuUSFiiZHWV6sPhpCXC9f3IvkW01Sxq3wI+iHCyTAfhZI1zqGsFdb/hZBJDqchsV1BhP9FI2DtPy3uV4PreYe99MawxSxLDiWrYqtXQbivJqkuWzo41TEsfjxyZt+PH9yz7ILE8eanpw4Zqe7NjgloGGBSI5RZwnanH11rYneqpVCpDEcudIvF5WjjhFpqtkCBVorcfULbaYP/251Xr816X5Pr//N9pxZxZtvkCN67xXy0Sv/2PhyNRizXYcn2babNZ1LU91X2Hkx1Qpd7rnd4/Psv/XqtFinqVtcaNRcNWLM2uFXtWaRyz5G0MlV0qf251sNVhbez4QjhlUfcxZiHLV8y2dsTwtU4ISxAXhhKmVWuV9sO1Dkfi7prVCYjC1sel1BiiOONQWW5+TABgMCCWoYe+ZXa1h11ZHiR6zdSfrJ6+s2Lt+6lVQfJFry+gG6vV/YTyqMJ9slx0j3akFFLW0E9dH1YWd/bw2pAv36pa10vd0FPdz+xX/V9e5U8jtGrK7NX9YsHvmW7spa7mQxZXdbn3lnQIKI1jlnwxfOCYpeoAxiztzB7W79quVGyjpN7hol1Vztup8uYQw7R2ArWGEKbliWU2lRpRSGChwD24Fjbx94NWBhgciGXoShhyAd5/TCJTYq3VAtclaEeidq6lWv6cRlCpn9oJaFnAS/pYL6q1MN8s964IVQnPlgp2zFqHlGk5nlbPdIsZ1fr8SNgL/qldvJedeKmpTNeIm92e6j66ML0q9c6/vbFKnd3rC61P+N5vAQ9SOBnUjllqZpUe/Jglvf5+VdgXxNqEKVaq7r21lyyds1OlwtDDtGqrxKMI09J1Fbtxk9eGnuV9YMNudkx07+D+ATAIEMttYLdyf+Uk6FXUUaPFXCw2W8dE1dyVaMw9WrG8PGfrmZzdlM3V2L+LTedV95qaLVmyVSm7xw2lfNuFf7PE770/x+xIWKJkz0LtW2Z9IV2b9l0rtHsVR/r/cgeEk4lae3d9lXqncj2icLJZoXHMUq0wHsaYpVQoaulI1KLl8K4ojlRDrjosV4cE8DWqDu+IYb13BmXA9cO09uYPq53DE8VBCNOSWC7RrrAP7Okck07QvSwUwoEAMAgQy20gzKp58rM6VCEYPctBRT11c/GYHS1W3OK7Hbld6/d+y3ft572aSCVv1isl92iHejqbzabe+3PC/VmitdF2W1uRbrSA9yOw/BFa3l/YeoSWL6j3AskideK633CyaaJ2zJL/uu1ZpXtPZ+9kzJJCtRSuVa54wXnZWMhuzObseH6nd7hcdJs/Aw3TitTMHq6xTi/UhGkFkVgsYtls+/F3s4Y/phB7ej3eRAos+43nCpVlgMGAWG4D/bmT1587apRw7G0gQC2qCGl8VCckwxE7Q4/WhWonTPf6qWst4CXv405/tSrWvS6ZFHDkp/9am5ZqVaDbzaY+GlGqb3S3MudZd/cq0uWIWTlStY18wf3Zr172WgPQ/5ntIJys2RzqWgv4qEZoDZtxj1nSRx3LbKXqzkf1C19X9irDww7T8oVwt2FaQSQapbLciO41Or+ZSNF4XEJWLFJF3V9ZnvzrOUAQQCwfsIMLe1BF3Q8bCK0ry+l064TubtF7cT4SdY9z2vychKn6pdca5lM3zqve7KN6p77QXLlgx8vtq167/dRNEr/PWp63Q+WEJSqeQK21/9anfNf3VA9ihFY727cXTrZ/DnVtlVoCsZ9ro/6tm9WiZfMVK1ZKNq+afpe/z+87rz1eQx2ztFMVrhXF1UrIVYclfo+7c0xhWoWhhGntWqUje1bpQYZpBQ0/B4JqYT1YsJtDGFyrNezA35oAMwliuQ1caPZXUePx4Qe7TBLeLr9XcSeMpr6yrPfPqI+LhIMEhB7tKFW9ntD29u+iCxrrFVXC9bjRmvRTr+08XyeGmvRT71q/4+5jamc+tcLVPPG8P+V7cOFk2khoXaXWc242h7ru8xYjtFarebumkvGs5Rnva/rZc8NpWwklmo5Z2rVK19ily0Mas+SL4tTOvy9X8UaiqSp8o18dHnCYlo7S4UisiVXaqxKPIkwraFBVbg6isN1xobJcC5VlgMGBWG5JCMtxA1RRW28ieMmt9HI3Cmb1HebzwZuTFA2F7bCsqgf0U+cr3nzqRjG9XqmfV13s0RcpuaUqpB7XtXu+Df3UjcnfRyNJ91G221ob8u4M6iY91b0KTj1nX7weFE5Wa/1WNfhUk3RzPdcfVzZtwXLuz/0K/mY0s0pLFEcqIdfLLufBqj93eEhhWrUi+IxE0i5cXLT4dtmdg+MO0woa0WiEWcJN0H1G9xuoh4Tw5mKZtjmAwYBYboEuMvSi1oMNuzmyCmoRUywilhut2KoQ5VsHVQceic/Twwk7PdbaUi5xqgr0nt27+XxqWcDLfVR8fUHXrp86UddPHdn5GNsR1nE7uvM9iVdV1/fPoq63gA8inGxbf+hgfb/Z7h92ANpM0JxhCWFVhRO+IN4ZtbRa8arDV5f0cdtWd6rEgwzTWgpHdyzSB4dpLS4mnejJFCf4zTFEYrGwZbO9nw/TLZYJsmpcq+kaTGW5HoQywOBALLcVy+z210Jlub1Yht5DviYZiaC5UMTZZc+KJdv2U0uc+SJ6K1SxTLhiN2xt1wlr9cH2WjtyNuVywU4c0E+t57sQiTRJ/I7aUiTuPqbDkqB+r/P+WdS+yDLV5VwAAFO+SURBVB50gnQz9Dz2qsL1vcPRasi2KpXdfuErVR12GwueIO616t9pmJY+HukiTEv3lXg8aqdO7fjQoUVlmY2ERnSfKRSC59QZJ1iwm4NZBWBwTP9KtkewsDQXy34fjHZyYU8sa/ELww35mnTUT+0EaSRq51nKfe3QobRtbeXrFsAlhZS16KWW/dufT73dR1V0u1q27VLZjjWxRdcKVIVL1Vq+a3urTwsn3cekha0SsjpB3WgBz1qpI0GtqvB8KOaEcCq0E6plESu76nDJThULdp2zS2/v9g8PMkxLoWxHG8K0/HCtQYVppVJx93pTCWsO4V6tYfb0frBgt4JiD8CgYIXfBnbmWleX6ZuqF8uyG0MwQr4mCc2RTac98eSj/tVD0bh7tKNQqeyKZ98Cvt5EZEvA9oJeMaWG63F9myqf4qdqhXTjbOrTIlGzUMV+UF0/8O+cK8dtq1y1q8u5qQzT0nshlYrZ2pozp0MTCPdqv4GPDXv/e4r7S7PzhcsLwKBALLeB0VHN+5YjEd2wB3YOTjxavGDZby2YZanEOtgc9WWq0ii7erdBaPFw2I6GJfra91NLaDZL+q7tpdbnvdZndSlY07iuSvvn/8CVBUuEm4+dcs+zUrX3rd5ogw7TcsI44n0+7jCtuTlvY0TvC2gO4V7NoV+5OSSE74e1K8BgQSxDD5VlVVFRy7XHRLCYaW7FVlhPoX0L7UyTyeSdXX0YqeFaNMnOnApH7Mw207SqNf3UfjjZvrCyivd5rx6B72WydqeFOfd31S7m/JaO72eyXYdpHYnWzx1uFqYVpEV9Mhmz1VWqygdVlnM5wr32Hxeqyq3eV1SW9x8TABgciOUD0JqL9tw9CPlqF/JFxX1WQ776QSJZFUfZc8eVACxx6ezTkaid2+bnFFKmHuHmc6n3Pm+WMn1ToWTf2Ny2W6dTlozsLeZUUZZQ1vfbh2l5YribMK0goQ0RiUBstO0h3Ks5bMY2R5v3pRKhZ/XHRA6eni5TANAEVrEHQH9uPYyPOigRm4p7LRqnNT9PyFcn1eWFhaQTU0HenFPAlYKu9GhHsVqpG5/1g1zGLs2cdIL4psKmrcQ03ins+qlXa0au/ezSmXa3uaWBhWkFqVqqTSMSsA8+ToINhf0wnrA52qTWugQaxfL0XD8Bxg1iuYNdyzINunWVQlkJYf9xYXzUfrTolRshHlffMhsJrdCx0bFS//L29uR71jXHWZVhPcRdUkv2jdyGNyfabEcg158PK5GY/dTCkakSybVVZbkGsIu2RxsK5Bs0R/cX7OnNjwubK/uPCVZsgMExeV62EcL4qP0wU7hdIvZwk3Qn2WbMaK2D0Qgp2bGncdNFAvgpy2e1/Rl9fxqFsgSgXtPtbeYGH4SuE8Po3Z8GGBu1H18QMp2jHn/EJwAMhulblQ34QszuXD26KU3jYn4QQVaMj2qOKkX0LXdyDlVcVVl27GnkrnNL9rzD57sKci36s76u708bun/MzydtaysXaHt9UI6VZzVGLDeie4uC8HAmNKsq88Zq9l5CLAMMDmzYB4plhGEt/g2bWZj16IatxTCWsOZ9y5pwyzlzMBLL2lhQhXka7NiNSBDfObVoVxQyVpmLWni7ZBfH01NZURba+NBmES0IB6PzXtcKNhVahZ7Rl9sI99vmTOnlFGBsIJbbgJWlvRWbm3ezMUkR+qeaIMEgi2WpNH0CcNBsbuZseXnO2VGnsRdPwvhWyXk7cmjBTlQ2p1YcJZOe/XpjIzPupzIRYMFujbfRSOZDI4jl5lBVBhgslE0PgB26/dC33BxtHmDFbg5W7M6Zdjv2rLiS0mns193cZ7XRSLhXc3RsisXp2zjrF91vp3FDEQCCBWL5ANih2w9iuV3fMiFfzdAimITOzpFYloBQijJMHtivu68q+8n5sB/PyUVludlxQSzXQ4EHYPAglg+AC89+EMvNIeSrNbLaqh+RVOzO2djIujFthKNNFporrsqy7PTQGViwDwr3MjYSmqD3GWK58ZiwrAcYNLyrOoDqcj3MFD445Av2gxW7+/NJgllVSuz9k4G/ubG+nh33U5k4sYwFu124F1XlRvz7LG6ExuOiJOwhvEkBZhhW9Qegi44uPrCHdnIZTdAu5Iu3VTMUWKXeO27knaNqfCaTt8XFFGPsAo7ObVWVNzZyLOC7PG6askBgZHMI92oOFuzWx4XqMsBgYVXfQVWZSuF+sGK3C/mib7kZqgDovMGK3R3ZbNGJZglmCCbaPFxcVKBXfmdUGnQKVeX26H5CuNd+VMRgg6XZcQmzZgUYMIjlDi48WCBbiWUq7o1ooaxKCbQfIQXd4fe/kpAdPOSUWFpKOedELlcc99OZOGRbx4Ld+tyistwcKsutN+4AYLAgljuoLGNpaS6W2URoLpZ1E6fPvTm5XMktjrFid4/6YPWem59npFSwhPKcux6qqgzd4bVlhKxQoBrf6vgou4C+3P0wNqrVNQmxDDBoEMsdwMVnP9iNm6PeOy2cqS43R8dG504iEev8KgW755YEczzu9cbC+JFQlpBRnzL0FohGNb41sVjUisUSp1YTIhEFnzFjuRZ0MsBwQCx3ABeg/TBTuDVYsdujxbEWydA9EmZra9vOyo5gHu89YXl5zm1gKLEcejuGcpkgllujTVd64FsnPjM2qvG4sKQHGAa8szo9UPSB1KEdXd2sOC77kaVQ1T9oTj5fdBY6bPz9CWZVnehhHp/1Wq8DI6J6R+4S3UcQPK3PM10jEcutxmlRVW6EFjCA4YBY7ggSsVv3LSMKG6FvuT2aRU11uT88obbtFtNKYYbRoM1BVZQrlQoV5T5JpWKWzRYG88JMIfQrt4bZ080hCRtgOCCWOzlIYcRya7sxp1Aj9C0fjMQyfcuDqTArU2FlZQ6XxwjEi46znCP0KPeHNnkUnKkEcWh1vtGv3O78obK8H72ncPsBDB6UTof9MfSC7IeQr/YbCVixW+PbL+ld7r9KLyuwzjcJOYLlhoPOU42HymQKlsmQet0vqVTctWNAa+hXPmj2NAnqjYRZ0QMMBd5aHY+PIo6/ecgXp1AzVH1CuLQnlys4Kyb0j8YWSchJ0LEBMVgUpJZOx92mBGFUg7mfKtgrm0Ustz5G9Cu3gnCv9u8tABg8KJ1ODxRiuUXIFxsJzaBvubOZy3pfsakwGCTkJOgk7EjK7h+dm9p80Pm5urpNJWtAaINM10eCvdpbsJmv3BzCvZqDUAYYHohl6AtCvlr3LWszASt2e1RdkiUTBoNEiISd2kYOHUqzEdEjqs6vrKTd9U3HU/3hMLhjS7BXe3TfKBTo524G4V7NkcuPwjLAcEAsdwF9y636ljmNmqHFjuyG0L4aqoUhzo3B4Y80kiBRZZQqc/fV5Lm5uG1uZp29HQaHrofqs1ebCrRGc9QRy80h3Ks5jI0CGB6onA7Rjh1iuVUiNuOjmqGkVy16oL2w03Giujycqv2pUxmqzD1VkzMIuiGg9zlV5U4qhCFs/21nLLPZ0ghBtADDA7HcIcyvaw4hX63RoltiECt2e7R4llCh52oUVeYkVfwm4qSxmqzqJwwWbarqPkpIWnuoKrd3fqhwwdioZsfG22QBgMGDWO70QIXD2I2bQMhXe6gud3YOyaEgsQLDrTJrLaVe5nQ6MfP9barELC4mbXl5zm36UU0eLjrnqCp3ZlXHgt16wwWh3BxamQCGB2K5m4NFInZTdPPCit0cLXqwYh+MZtcqJZf32HCrzJubORdYpWrqoUPzM7lBoXNMfdyyXOuYaBNBY7eoJg8PXQN13Le3C0P8WyYfHSNV3xHL7cQyFuxGqCgDDBfEcpfgctkPfcvtj41uZISgHWxZVxVe1ScY/rGWNXtjI+tEjCrN2qiY9mubhIjOL/179Z5UJVmWa5Kuh4/GmSGUD0bvR90z2LhpLZYJh2t2XEjCBhgmiOWukOghzKqRYrHk5kJCc6gud15dlgWRIL3RoEX52tq2E4xapB8+PO8qrtN2/LXAlt1aIlmCWf9mVdg1xxaGj/IIdO+kV/lgsGC3RhtcujbpugX1aF06bddtgCCBwumyx00VQi7W9eh46NhoIUqVprlYVgoslZX26NxRb62qf6p6wujOTz10bdN5urKiHt6K6y9VtX9SF9YSaXqEw96IMtmtuT6NHln9tREG7ZGzQxs72siB/ejYyBVTpey+Dwll5eoAwHBALHediK3KcnFIL8dkonuX37c8qYvrYSIhsrDgpRCzWG+PNhRUAWQ8yOjRe1gL9a0tVbhiTuTovJXt0RfUQT5/dX1WhTyRiLjzR5t429t5rkljRJsv/ng4aI/OXX+CAjQ7PliwW0HWB8BwQSx3iSqo0LpvmUVR880ECQ5Vuagut0dVA1U0ZQeWXRbGc76qEquHL0CTyah7TSSoJZr1PtfCftzomqPnp4euzXqf5XIS9jlERwAqpdpwwSXSGdqg0rkLrd/rCuKDxvcZa1KAYYNY7gFdm3AC7e9bTqeTGpY0mDNzysjni27hiFg+GIllBU5RSRg/EsR6PbJZb1Gm10R9lXNzc+77SqYtFivuo4T0MAW0bOKqGNd+1OaKhHsmkyP4J2DoeuedH/SYHoT/3trawoLd6vjQr9wcwkMBhg9iuZeDtmPxgz3oW26PFvTz80l3Y2NOZHu0EaUKgnqXCwWqy0HBF6a+e0SLV53PqvjIbusv2nR+VyqenXTvsfdn4RdDZB/0Nx71ufruvI/+Q60v3kLZa/eQKJe9uuA+YlkNJnrtdE7gDukMbUDpHsr53Bz6ldsfGwQzwHBBLHeJv0BELNdD3/LByL4qq12pRPX9IGQBVmVKi0is/cFEVWR/5Ffj9dEXu/pzLLYnfCWSa22DmvXsC3E9lFBdK65LJa9PGmE8Wei9q/OCjcHOUIsOaeGtwWXUGsK9AIYPYrlLCPlqDX3L7dFiSIFJJMN2ho6TqsuI5ckT0AchvXzkyIKdOLFJS8uUISeAxJ/mWMPBaCNJG0xq1YHm0K/c/vwBgOFC1nwvB42LU1OYt9we342gGz8cjESyqoqqUgHAZKDsCm0MMse6M7SxINcROSjNoV+5NYR7AYwGxHIPeFbCwb8Yk05t3zK0FoBaHEFnKPBGYlmODgAINmqbUJUU90w3x4wU7HbQr9war1eZ9RbAsGEF2gMSygr5gtZ9y9AcWe005gY6Q+eTwpxkXweA4KJNUoUYaoOLKmln+P39qixDc+hXbnf+KNwLsQwwbBDLvRy0sBdiA82t2IjB1vhJwarAQGdILPszWwEgmGhDS6JPs66h86oyvcrt0XpC6wpotdnCWhRg2PAu6yvkC5rZjBHL7cnlsGJ3y+YmdmyAoJJMRt19kTnB3R43iWWEYPukZ1Xe2YBpBi1vAKMBsdwj6s2F/XijQqpYsdug8BtZ1TmHOgc7NkBwF+wK9cJ+3R1yF8llxBjK1mjjHaHc+n0HAKMBsdzPweNi1RTd3Kgut0bzZL2gL2zF3YAdGyCY9mtdzxA13ZFKxZmt3MGGAv3czdGGO2nYAKMBsdwjukgRZNUcrNidVZdlXYTuwI4NECwbsayymUxu3E9lotAxU7+p7gPQeo2lY4RYbhfuxRIeYBTwTusRXaQQy83RzU0WY2zGrZH1TjOECfrqzY69uEg6NsD47dcJ7Nc9kEp5vcqkhrdPwfYCMau9n6RTvuFCZRlgNCCWe0QXKWa/tgYr9sGoqiArHnSHxLIgHRtg3PbrIvbrLlGyvyry2ax3HYPmYMFuv1Gl8wgARgNiud8DSN9yy+oyfcsHi2U5FLBSdQ92bIAg2K/zvAw9HDtVTL0wTGiF1g8khTeHfmWA0YJY7gP6ltuLZe+C3s8Rnm5kwaO63BvYsQHGg9prZL/WhhU24u5RsCNV5YMt2LJfl8tsKDRDays22QFGB2K5D+hbbo1udBI0VJfbk80Wnd2M3qPe7Ng6z+hfBhgN2vxcXEy5TT5GHvUmcsJhLwQTDhoZxTFqRThMvzLAKEEs9wF9y+3Bin0w2jnXolOBL9A9Gxs5lwpK/zLA8FlYSLkNKuzXvaHrlDZIoT1YsFtDvzLA6EEsD+Ig0rfcFMRy5xVSxHLvM6vX17MuKA0XA8DwSKfjzoK9sZHlMPfhREMsH3ycVIjAudAc+pUBRg9iuU/oW26NbNgSM4zYao8WBeVyFcHcR3Ve/ZNK5yWhHmDwqFVEvbYSyvQp94Y29CSUdU+E1mDBbg/9ygCjB7HcJ/Qtt0e9WcwS7rS6zBipflwMCs1ZWkrR/w0w4HucNqIklLWpB92jirzugwR7HQwjo9pDvzLA6EEs9wl9y+3RHM5Egn7cTsSeKg7JZLTfU3KmNxxUpSfwC2BwLUYK9FKPMrbY3tFGqDaO1e8N7TdmJAYJQGv9fmTCCMDoQSwP6kDSt9zSiq0FAv2knVaXE4M6JWcS2bG1gTU/z3EE6BcJZYlk+mz7WxtotrKu79AebayTgt0a+pUBxgNieQDQt3xwdZmK6cFoN127xmws9Ifsol6PJY4GgF6R9drfgIL+qsoSgMwMPhhdtzWWDJpDvzLAeEAsDwD6lg8WyxKA2IcORj1tjEHqDzkZ1tdzrrpMuBxAbwJP7x0lzUPv6J6nSQdUlTutmnqBl9Ac+pUBxgNieQDQt9wehcLIjk3v8sHI7qgwGERef5RKZdvayjsbKS0SAJ0Tj0fcmCgv+Zoe2343HST+dP+D9sgJlMuVOEwtoF8ZYHwglgdcYYbmyFpFKnbnglmLVej/nNNjeXkOwQzQAdqkW1hIOes1Am8QVeU4VeUOkftMLjRofXzY+AUYD6i7AQplek3b9+NqIcbFvjMrtuYFq8ID/aEUX/ULLi3NMVIK4IB7mJ98TRpx/0goy+GCrfhgtJFeqVTYoDmwX5k1AcA4QCwP6kCGw1SW2yA7X6FQxordAXI+qsctnSbReRDIjq1F6/IyM5gBWgllbShJKBOw1D/aFFb2hI4nHIxatNigae9SoNAAMD4QywPuXeaC1hpSsbuzYut8wro+GHxb6dKSBPOAfinAFCAXi4Ty9jZCeVBIKMvRgpX9YHSfk4uKTZrWxGIEpAKME8TyIA9mWBf96CB/5VShnWMtzPSAg1FVguryYAWzrH6eJZszEEDXYjku1PrBLOXBzlXOZJir3AnaENamgqYYQHO0mYAFG2B8oFoGiC5mpBgfLJiZf9v5sZJ9XaNHYDBsbEgwVxHMMPPsCeUiIVQDRBucqpIyV7mbFGyCvQ56r6oCDwDjAbE86AMa5oLWDlKxu68uy9LHfXJwaCSOKsxKyWYBArPao6zzH6E8+OOqSilzlTtfL+mY0a/c7pwi1Atg3CCWB4xEDVbs1vjJoCQ9d4ZC0VShULIqDLbCLOufKmtscMEshnmpRxlRN/iqsjYgsBR3hlxT6u1mnndrEgks2ADjBrE8hF1AhODB1eVkEvHXKVtbBSeWqYIOK/SLOcwwG6hNyE+9pkd58MdW939tQkDnFmzOw/bonGJDF2C8IJYHjAQNAVYHi2VtKHAD6Ax/Vmc6zQbDMARzsVhyllTetzDN6JqrNHjGQw2vqqxKvUb/QSfnY9QdK+ZQtyYSoa0PIAgglododYPmyKIm6xVBX52TyeTc8eK8Gs4cZm3gSDDjCoFpRM6UxcWU2xwiTGnw6NqszV+likOn5yRV5U42FNjEBRg/KLqhWbEZIXWwFZuU504pl6uuajE/nxzAGQqN6NhubeWcoKA/HKaJhYWkEyZra9sEKQ3JTaaqsq4f0HnFVLZ1Nm7ao2OEWAYYP4jlYRzUsHcjgPbBVYJNhe4Enc4tpa3C4FEiqwSFhIUEBsAko2uF316wurrt+vNh8Kg9RlZi/54GB6PMEn80IrQOiyWnBCAYIJaHeXAZI9UWBXswQ7h7y/D8fIJRUkNCgkLCwptBS/AXTPZoKJ3P2gBClAzvOMshRVW5O5itfDAqJCCWAYIBYnlYBzbszVuE1siChc2oO9TrrQWwbH8wHCQsJDA0skuCgz5xmCR03/FmKHutBTA81BYjxw+joroTyppzT7DXwWKZew9AMEAsDwld5LBiHyxKZMWiutwdWgAT9jV8FIYkwSHhwcYXTALaRJOAW1/PMpJnRKFezKruDoK9OkPnFpVlgGCAWB4iutBhxW6PxIgWHerPgc7DvnTcCPsaTauAhIeONdV8CCq6fmoslNLc19YyVO2GfrwJ9ep9ZnCYYK+OLNg9HWIAGAKI5SGivkcqUu2RpVgPkrG7I5Mh7GtUyC4oASIhorRsFjEQtGRhuR+UleS1DxCaNGwI9eq9qkwC9sFo3aiNBQAIBojlIYtlrNidVpfjw3wppjzsiy3oYSMBIiEiVlbSvK8hEGiTcXk57ZKYNzayTjDDcNE9nVCv7vEnOTCLuj26nWPBBggWiOUhIyHDnLz2qG9ZNwhV7qC7sC8tkhcWCPsaBRIiEiTqUVSFWRsVAONAi2nZrufm4u6czGTyvBAjQmPldLwJ9eq+qqz7FcetPYmE2tLYAAcIEojlEQR9YcXurDd0bg7x0Ut1WZUOzrHRIRvh6mrGbYIdOkSVGUaLqppyNyitXechqcKjQxtkSnLW/Qo6R9pP7jHC0A5GRQMciQDBArE87AMcxordCblcAdt6j4nim5uyYyfZjR4hqo4o+EuLP1X4qDLDqKvJ2ijDdj16+/XGBuO4ukVCuVwuW6lUHsprMy1gvwYIJojlEcFOYXu06FMvkxaC0Isdu4Qde0xV5lOnqDLDcKGaPH6wX/fO3FyMqnKHFmza9gCCB2J5BGCT7QxZ23SsZF2H7sCOPf4qszZ7qDLDIKGaHAzkHJHtHft1bxs9ukaqXxnao/UPYhkgeKBKRgAhX51birUYSaWoLncLduzxo3OXKjMMCqrJwbJfb25iv+4FucXoVT4YiWRyvQCCCWJ5RHhpz9FR/XUTi6pzCqvS7FDoDuzYwawyk2wK3S6a/d7kzU16k8cN9uve8YMnNfEC2pNMMlsZIKgglkeEBsyTWNyZ2NCNlepyb2DHDk6VWUnFCvhTYja9+NCJ5VqbKysrc7tJ11hXxwv26/6gqtzdGlHXAAAIHojlEaHqkpd0OKq/cXKRZUu2N24cvdqxcy4dm+r8eCmXqy61WA+5Sg4fTrvzGqAW3RPS6YTbVNF9QlZ+kq7Hj96zClzCft378dP5rBBEaA8BsADBBrE8QnTj0M0X2qOqiizFVJd7Q9UoLVAWF1OcagFAc3DX1rbdojuVijlRhMsEhK5xhw7Nu1BD/xyRuwbGizZqZb/m9eivqqx2FDgY3Q8QzADBBbE8QnQx1MB56Ky6LGFBJb43MhlvBivzf4O1ibG6uu1eG1USZbflejCbyGHgb5rIeaA+91KpMu6nBTtoozGfL7pNW+g91ZmqcjfhXtgOAYIKiVNjsmNTPWiPFo6qyKnyQpJmb2gRvrKSdiKNRV9wUE++15cfs4WFlJVKZSegEUvTj8Tx3FxCDRPOas37MnhoI0vo9YH+qsrasIVO7OocJYAgQ2V5DDuIWLG7qS7HuZH0iDZkZCOUnZD+76COmtpym0LLy3O2uKg+cy7J01pp02ssISYRIYcBQjl4yOnhjYnKjvupTCxqKdD5zkzqzjfQFO4FAMGFldmI0WIY62VnSESo6kbvcu9oQS47If3LwUSVF20KnTyZcZsbsmbrtaJ/bXoWwt5GiGy9JRfehTU1yH3KKdvayrlwPugNf0NIYZNw8DnnBb9SWgYIMojlMaDrIovhzpA9VZYubia949sJfXshBA8tLPU6STRrg0hVZgln0rMnDy1+dc1S+rk+ShyfPLlF2FHA0XtOG4vMBO4drWtUJaV1qjN0fcdNBBB86Fkex0GPelYvVU6hPerjVHU0nY7TQ9YHshUuL6etWCwxuzXgolkLTT1UlZSrQpscEly5XIGKV8Cv6+pD1+umnICNjRzX+AlB9xdtyNKn3O9xTNj2thcuCZ0HoQFAsEEsjzHki6CvzshkCq7KJgFBMFpvyFbo9S+n3IgajeeCyQgC80WYwtq0wSbhTPUrOC4hbXx6c+G99N/V1QybGhOENjeSybi7LkJ/x1FrGnqVO8Nrx8N+DTAJIJbHhHYTtcDCrnQwEnZahGrXWoIPekMVevWSLS2l3IKe3f/JQLbszc2ybW2FLJn00pTn55M71eYiGx9jqgjp+i2BoA0MXcfZwJjMMCoFIGpyABuIg6gqM1e5UxT0GotRVQaYBBDLYxTL9C13jm7CmkuazYYZsdPncdQCUYFDmu0Kk2XRVtVGD1+syXGhRb6EmjZDGD81PHTMJY79US+5XMmlWiOyJtfhpeugnEuyzUPv6Fqk6xPhdZ1BsBfAZIFYDoAVhxv1wch+LZGg3WtEXn+oOu+PsVGAGkweqmbqsbXlzenUY2lpzi1YJZq9BwKgXzGl67MEciwW3T22ev+QNzH5yGGj11FuG+i/53tzk3tJpxDsBTBZIJbHXKmoVGIsajtEwSGHDs2748ZitXdkv9aGg1+VpBow2a+l39ss9N6QcJZNW9ULCWZvfFiJUS5djPbzZ5/6AYOZDBXkaULvD0FbT/8o8V2ZGMwN7xyCvQAmC8TyGCHoq3thoCqAKqKEsfRfqVdar6orEgTqi4XpqTjLMeAJP4UXxWx+PrEr/CScsQ7v4W8w6BGJeBsMslgXCjkCBacQheVpQ4R7SP+oHUGJ/er5hs7QRhxjlQEmC8TyuF+AaNjdvNU3BZ313Grxr4UtO9n94dl487a0lHS9lySNTxcSxNpc0qPWUjw3J7u2FxzmPSruXJiF19/Ligi7qrH3CLuKuzYQtMHANWX6N0b8zdZZON+HjcIGdQ3B6dVtsBdLb4BJgnfsmNG4ES3aoDvBrB4pFrb9Iwu2BIMqzFpAkpA9nfiC0Ldr6zX3xaIqQwsL4RoB7TkN9JC9ctJDFGv/rbX/Rm0i6CNV9tlA54MCvWS9Jgivf9TmoY1+bbRCZ+gaRFUZYPJALAcAVX1ULaV3tDN0nLTA55gNBq+6nCIhe4bwBHH9rO1GAd0oLstlTzyrIqeHBHhQUmW9R/gAYTzZ4h96R+eHrnE6DxjxNRhUoaelozu0ZmEKCsDkgVgOTNAXYxe6IZPJ2cJCiuCiAaHALyVka+YooTezyUECWvZBX5Tqo8SyL5wrlUrN5/V/9kV1J9rar7rs5TmE9wli9RXrc/2MHrV/F8IYmp1TEspyIjEHeDDomqCWjlOnMpxwHaJrldwN+ggAk0WoGoTyAOzeyOn96RxZ6rRQVmUU+kc3cQnmYrHEMYUDqRWzvoBtJm6boduOzjf/Y7PvtxLfjX8GaMfycmo30BAGgyYpKASPsVudI7eObOsSzAAwWVBZDlB1WRYdxHLnbG3l7NChtLNl04PWPxIo6+vbTjDPzVWpwkBbPLHaWYr6nh5WNdj7s8bAra5mXMXZ27LtvAIN0AmLi96IKITy4NA6Re9jhHJ3KGARoQwwmbDFFcAxUtD5Yl3VeH9mJgzmmMqS7feEAwwCXxDXVoz98823au+JZoD+0bg0iRNdz2Bw6xT1KmujGjpH0ztwXwNMLojlAOEH60DnSCxrgwFhNziUDqy5mVpsajccAGCSmJuLO4EiocwGzODQPUFtOjjgukP2a8ZFAUwuiOUA4ae5EgDRHdrl1m43O7eDQ4shWRfVF85oMwCYFLRxKnEioUxP++BDvcgI6Q7SrwEmH8RywJBtTDd66JxCoezEnQQzDDZ0zh8rpU0cAIAgk0xG3X1AQpn52YNlYSFhmUyBDYieqso4tAAmGVbAARTLurBSJe2+uqyKAqJusCg8bXtbgnmOYwsAgUVVz3Q66VpICHwcLIR69YbvFMQtCDDZIJYDasdOJuld7gbCvoZHNotgBoBgC2XNiJdQpp92sBDq1TvKoKGqDDD5IJYDuhtJsFL3EPY1GsHM+AsACJpQlvUaoTx4CPXqDd0nFT5KVRlg8kEsBxRdYEl47jXsK46NfWiCueDmMGN3B4Bxg1AeLrrOE+rVG/QqA0wPiOWAIuuOblLQS9hXhdnLQyKbLdDDDABjB6E8fFSxJ9Sre1RRVmWZqjLAdIBYDjAK+UIw91Zd1oxNrOzDgR5mABh36vX8PNbrYSKHlmZUa4MUuu9VZuQiwPSAWA4wGmKPFbu3sC8JZi2mSBUfnmDOZLweZgJMAGBU6J7op17Tozw8+7UE3+Zmbkh/w/SiarKOn6rLADAdIJYDT8hVSaE78vmSGx8iwQzDGyulTQnNYeYcBYBRVDv1WF/fRigP2X6tfApmVXfP3FyMEEyAKQOxHHBiMY2Rio37aUwk2LFHsymhCo8WV5ynADDMVOZEImZra9vMUR6B/VpiGbpDTjbZr5kYATBdIJYDjjfQ3gv8gu7Ajj26UDVVetLphM3NMR8cAAbL4mLK3QMllMvlKod3SGC/7g9Z18NhltUA0wbv6glAiwSNIYDuwY49GmR510JW1WVVgAAA+kUbxcvLKfdR1xdtgMLwwH7d/1qNsYoA0wdieWKqy15oBPRjx6b3e5iov00LWi0YFhfpFQeA3lFAkma6SyCvr2edNRiGB/br/lBBg1FRANMJ6mtCkADB4tqfHXthIUE69giOtQSzrGgK/iKNHAC6RT2fEspKu97YIJF52GC/7g/d57QZT7scwHSCWJ6w6jIX497t2MUi6dijQBUgCWZ91II3EmGEBgB0hu5xum54aft5DtuI7NeZDOnXvUKvMsB0g1ieuN5lApR6BTv2aFFKtsK/lpfTbPIAQEdWVjlSdK0mjXk0KJhRG5vZLOnXveAXMWiTA5heEMsTWF1OJOi97d+OTbVzFGQy+d1ZzITUAUC76qY2g+VKkRMIRhceurmJ1b1X1B7HqCiA6QaxPGHE4xHm2faBFmGqdhJANdpjrgWwFsIkZQNALdq49No1wsxQHvFx1waFrO4KZ4TeQuhUUUYsA0w3iOUJvclpRA/0hiqdCqAiMG30o6WiUa8fkco+AEhorKzM7SbpMxpqdEgol0pl1xsOvaE1hO5pADDdIJYn1DqFFbt31J+1uZl1NzoC00aflK2FsRbI9HgBzC66h2njTL2y2IBHi6zXuv5y3HtH1WQ9VF0GgOkGsTyh6AJN2Fd/lU7Zz7S7TpVztGiBls0W3UKZTR+A2ZzpOz+fdCGAuhbA6JBIVqiXjj2zq3uHzXaA2QGxPKHI+qP+ZXKqekf2M9nQJJhhtKiapMWaepi1aAaA2djk1SaZZtLKZaL8CBgdWi8sLqZc8KI2jKE35EjTucxGO8BsgFieYGQBou+2/yqndtpJah49Wiivrm67OcyyZROSAjC9aHN3ZSXtNij1vidUalx9yhWq+X0iVx8tXACzA2J5gpG4UIWZnpnekQ1NFU7Z0uihHU8f8/p61iVmSzATXAcwfej6urDgzU9W+wuMHl1btV6gT7n/TZ9w2AtaBYDZALE84ejmR3W5P7TTLlua7Gnc/8bD9nbBiWady14f+ZieCAAM3HatKtzqaob5yWPcWFfLi4RylUblAVSVo4N6aQBgAkAsT8FixE9lhN5RyIxEM/3L46NY9OyZOqdl16TSDzC5KLxP72O9rxkLNf4+ZW1I6rWA/s5pNnIBZg8U1hSgXXuqy4PqX45gBR4jqnqowuynZdNLDjBZSEz4wX26psq1A+NDr0OlUnFiGfq3slNVBpg9EMtTgHpnVI2T0IP+hJoWd1roUdUcf1r22lrWWd6Wl1MuBAwAgr9xq2qynE6yXRcKpXE/JZt1cace242N3LifysSjjVv6lAFmE8TylEB1eTDIpqZKyNJSiuC0MaPU3FOnMlYsVtwCnCozQLCryb7dV+4QhffBeNcEek3W1+lT7hcVIzTujARsgNkEsTwlaMczEvF2kqE/ZAFWOrMWfjB+tHmhxbdfZSb9HSC41WTNr4fxomuk7l9KH9emI/SH2txw7gHMLojlKSIaje4EUGBZ7RdvvEmVwK8AVfz9KvOhQ1SZAYKAKpdy4VBNDg66/es10aZFLocNfhCbQdoIYpMWYHZBLE8Z6rVNp+PjfhpTgexrulGqognBqzJjlQcYD7ouatNKIkKbWFSTg4MmOsgCT7Da4KrK2K8BZhvE8pQRDntjpAioGkzg18ZG1m0+KCQFglVlLpe9KjNJ8ACjQa4lqsnBRdfCSESBXtlxP5WpCvXCrQcw2yCWpzbsKzHupzEVaPaykkQXFpTIzNslaFZ5zW9V8Ip6Jtn9BxgeysPQ5pTsqFSTg4dasOS4kVCukq3WN4R6AYAPq/8phLCvwaLxJxplJNsv7eDB28yQYNbro0CbxcUkvWUAA0QuJW/medw2N7Nu85Ck6+C9RrJf6/WR4wYGFerFEhkAEMtTC2Ffg0UBNkoVJSE7mKhnUtWuSsWwZgMMzHKddEJZG4be3GSSlYP4Oum+lMkUeH0GHuqFWAYAxPJUQ9jXYFFFRdasdBqLe1B7zDUqBWs2wKAs1+Y2obRZCMFEjiflOMhdA4OBUC8AqCVa9yeY2rAv2VWhf5TEvLIy56xuJMAG25qtBb8qLsViyVVdsCcCHFxR02agqpXqfZUIg+Ai67XY3MyN+6lMDYR6AUAjeEymHMK+Bot69VRhViKsgqVgEqzZVbfBIUspszIB9qMNVVUotbmUzxed5RqhPBnVT5KvBwehXgDQDMTylKMKgax0qrLBYNAiUoJZYVIkME+CNTvvRLPC2WQt9Spn435mAOMnElG/q9eXrEyGU6e2LJstjvtpQQfVTz3kdCJsbXAQ6gUAzUAszwCxWNSNlWBW4OBQ4I1EmCoxjJQKPlpQyqq4urrtqmiHDs0znxlmuoImd4xGrum9oc0ktSowcij46F6u0ZASyrSWDA5CvQCgFYjlGYGwr+HYfP2RUth7JwMtLrXIlHVRNnpVmnFdwKwgR0U6HXfnvTZPZbfWph/VyckRdOpT1vWLHJLBQqgXALSCpssZC/vSzZZetMGhlFgJZQnmtbWss/1C8NF7wE/NlnjQQkmvJaFtMI1IGHvW3bizW+vcR2xN3oa3nExyyHAPHyx6X+g9gvsOAJoRqrK6nxn0Unv9thJ1434204X6/rQhoUUoTKq1Me42Pra3i5bLYUkddoXzyJEFO3Fik2vRENH5LCEgoaxrvzaEEFqT2VuuvnK9fvSUD/rYhgnsBIC2IJZn0Iaaz2uUTn7cT2XqUHVZyOYLk0k8HnH9gFpAyWKvhSn7iYMHsTxcdP5q80ebQLre61ymkjyZqNqpNH/u28NB1Xpd96kqA0ArsGHPGP7cZezYg0cV+6WlOddTxtzLyaRQKFuhsL0zcs2zZ0swS2zQ1wlBR9d2nbNqL1BLgXqSy2VsRJO8qbS8rFnxZTa4h4BcF3JfIJQBoB1UlmcQ7NjDgyrA9IkPLaio0A0WKsuDRZUxnafa5GFzZ7rcSmqZYpby4MF+DQCdQmV5RgWdbhSaN6skVBgc2ohQ37Jsc5VKhf6yCUfWVbkEtre93k9vHq1e14KzRQKMc8NBSe46L4UqyeRRTFcOhu7V6+vkYAwDrX+0uQQAcBCI5RlFYpl07OEgu676lmXJFgSyTD6ysmpjSb3+Eijqa9ZiSwJFDyzaMEq3g85BPZRsrXOSjZvpQq08uj9rwgIMHj/MEfs1AHQCYnmG8fsyqUYMHlUfVRGQYJaNjpFE04FeS8/mWnTW12RSM2vjrtdZCdr6CDAMksmoO98klnU9YfzT9AplvcaMIhwOfpGAqjIAdApieYbBjj06wSwQzNMYBpZ1FQpV+ebnk7uvcz5fJFgJ+iYa1YZM1BKJ2G5bh84tRv9NJ/PzCfea675BCv9wwH4NAN2CWJ5xsGOPQjBnd8ZKVS2Xo8912pAFW/NP9VAKscTN3FzavfYSNnrNWfhCN9dkBcppA0YbmjqHJJ4Y/TT9QjkWi7rXmraO4YD9GgB6AbEM2LGHjPoKZXXXPMdqNUd/4RRTKJTcQ+FLqgZK9KiSodEvXsWZzRLYj9wJOld0zsiCq/NEPfI6l2A2hLI22mStRygPB+zXANAriGXAjj0CJJZ8wRwK5bFkTzl+n7oenhBSKFjc9SNKCKlaSH/zbKMNFc+JENude6++d50f2KxnB4TyaMB+DQC9glgGB3bs0QpmQQ/zbKBKkUZN6aH3mWza6m+WiFblUOJIwhmr9uxUkCWSJZB9q77Gk1FRnF3rNRXl4YL9GgD6AbEMu2gBJ0jHHq5g3uthRjDPGuVyxTKZgnv4vamak7uwEN4RTp6NWz8H04ECmxKJiLu+6jXXNUCvMwJ5tvFSr70wLzZKhgf2awDoF8Qy7LuxyK6kfjkYXg+zn5ItKyZzmGcTCWI/GEwVR4kpPdLpuFs8+8JZ4gomB4VyqWrsVZAj7mtyDmiDpFjEYg1746EQyqOq3nvvQwCAXkAswz6xrJu4FnqEEY1mrJQW1xJMMLtIHPs9zkIiS8JZi2oJaW2wSHBJOCOegymO9dDrpmuoNkL0eq2v59xrB+CzuJh05whzlEcjlHWs9R4FAOgVxDLsQz1UCpiRoMMOOjx0fNWrJku2buaZDNV8qJ3hLJGV36k6S4x5YVCI52CKY21ieNVj+s+h2Xkjoexd6xHKw0cb/n4WCwBAP4SqpMpAE3Ra+P21MFwkflRhVgVKfYwAB50vvniWYPPEc8WdP/qo923QN7kkHI4cWbATJzYDn/ysvtJYTI6biHPd1Ipjv9rPbRQOvsanrFyuukwQGC6RSMiFKPo5LAAA/YBYhpZ4VkJv3icMF1UbtJjSopuANeh2IS7R7Is5fZQYrRXQ/segEFSx7B3HemHsbRzWb0YgjqEb4abNUJ03bIaOBlXwtaGI/RoABgFiGdoisaw+SvqXR4NvyVZFnwU59LNA9wRfvYDWBpj/8NssVO0a9bk2TrGszQXfnln/CLne8b3NBU8ck1QMvaL3nq7puVyJNpsRoYBSCWVd8wAABgEeFWiLb2PSwlGLahguEskKdVpeniMpFXpG79Vy2ZvhXCsS/WqpN+85tvu5BGGtkNZDX/MelUBVfw9Cm036t3qiWB+9f6P/bxf+v1di2B/V5f+bAQblUlCFc3s7z8SDEa5X/M1BAIBBQWUZDkRVJ/Xm0Ws12t3xZDLqgmCC3n8Kk42qvM2qrBKZEpwSn7oG+MLZE5ren/X1vYd3rfC+7n3eT2VZP6O/e+9j/ee+IPYe3nP1n2/9c92roPufAww7XEqbnrJd48oaDXrv65jTpwwAgwaxDB3hj64hsXl0pFJxm5uLu00KxgXBuJBArRWjzcRpM2ErfBFt5n/cww/Kavy7av//vd+xJ8D9z5uJd//PAOMilYrZ3FyC6/YYRnJJKNOnDACDBhs2dHaiRCNuEaqbkWyLMHyy2YJb/KvnbWMjx3GHsSBh6lVku/v/GivCNd9xf1argSpvvpiu/ftqRTHApJBOx117w/r6dqAC9WbhuDNPGQCGBWIZeupfpnozGmThq1azrvdNVf1stjiivxmgP/as2PsVry+edS1BEMM0IAuw+pTX1rbJ9xghfpgXfcoAMCyY1g5docXA/HyCozZCZH/XAky2bM2OBACAYKBWBLkkVNlEKI/+2Ou+SJ8yAAwTxDJ0hSyVWhSolxZGhyx9Wogp6VMLM/qyAADGi389VpuCrs84rkaLNu6pKAPAsEEsQ9fo5qQKs+xPMDq0EPMqFxVbWZlzCzUAABhP4rWEsrIl1HsPo0Ub9n7QIADAMGG1DT0h25PsT/7cUhgdWpipd1kLNS3YAABgtIFSaonRpAJyJMaz/tCGvR4AAMMGpQN99y/XJ93CKFA1Qws1LdiwxAMADB/d6xS2GI/HnMtHeRIwWrRBr/Fc9CkDwKhALEPPqG9WVmClgML4gr8SiZibMcmmBQDAcIO8dJ1dW8vsmxEOo1lzaIOeijIAjBLEMvR3ArmeobCzpcHo8YJlMm4RoYUc/VsAAINF4mxlJe02KNfXs4w7GxMLC16gFwGXADBKEMswkIWEbmD0z44HzanVAk4LOS3o2HUHABgMyWTMlpY05z7nZt3DeFBFWRZsNoQBYNSQDgQDwe8fUqVTY45g9Gghp+Ovhd32dsE9AACge2S3ViaEpj6srWWtVKI/eZwbFpGItykPADBqqCzDwFBFM51OsPM7RnK54m4fs0QzdjUAgO5QFodcOqpinjq1jVAe87pCrjVGVQLAuEAsw4ADv5SQTeDXOFFlX33Mmst86NActmwAgC6qmMp/0Maj159c5diNCW1WaNoDydcAME4QyzDYEyrsJ2QnOLJjROs7zWPOZAquwsx4KQCAg8ZCeaP4JJJpYxn/66FJG2RwAMC4QSzDwFEIhzcLkYTscaPqyOqqbNlRW15OYZEHAGhhuzYLuetlsUh/8riRQ03rCFqJAGDcIJZhKMRiXo8RfUbjR6FfWgDKnr2yMsdrAgCwQyrl2a6z2YJtbGC7DgKq7vub7gAA44Y0bBhBQraX0gzjZWsr7yomCwspV3FmDAoAzCqqWMrmq6qyQhGZ4hAM5IKS9Rr7NQAEBbbtYKjohqf5iFipgkE+X3LhX3pdVE1hZiUAzBq6/sllY1a11dUMQjkgaONCAWsEegFAkEAsw0gSsrWDD8GgXK7uVFLKrk9PixMAgFlA4w39WfQbGzkXhgjjJxIJudeGijIABA3EMowsIVtJoxAsW7Z69NQfpsUjVWYAmPYQL4kxZTioFQWCs6muQC+9NrjQACBoIJZhJPhhHbJkQ3BQD7NsiOopp8oMANOIKpbe7OSCc9WQoRG8kV1yoCGUASCIEPAFozvZohGrVquWTsfd/F8IBrIhqsqsfmbZ5RWwohnNlQr+RACY7Gqyrmm6xqmajEgOHnp9tJGOswkAggqVZRj5SClZrTSuA4IFVWYAmL5qskINEcrBFcoRRkQBQKChsgxjEcza6VflUtVMCF6VuVAouR4yqswAMElQTZ6czQxVlPV6AQAEGcQyjAV/NIRs2YVCmVchYOg1US9zOp10vcyZTM5VaAAAgopafFIpr80nm6XVJ6goVJJZygAwKSCWYeyCuVLJM+cysFXmnBUKkZ0qc4xeZgAIHBJeCo+kNzn4aFQhQhkAJgn8LzBWdNP07VgQ7CqzwnEOHUq7qgAAwLhRerL6XhcXU/QmT8gGuVp7/I1yAIBJAIUCY1/s+FUB0jCD38usoBwtdCSa4/HIuJ8WAMwoConUdUhoMw/bdbDxgz0RygAwabC9B4EQzBorpQrBxkbWCTMIJqVSxQlmWekWFlIuQVtWbcZMAcAo8DdXhe4XugZBsJFzzO9TBgCYNKgsQyBQVdlPMYXgk8sV7dSpLatUsGYDwGjuEbo/LC15lmvNTUYoT8brps0NCWVtjAMATBqIZQgM4bDGSERscRHBPAlgzQaAUSD7rlL5xalTWK4nbYMDoQwAkww2bAicXUvjpHSD3dzMjfvpQAdgzQaAYYDlevLD17QBTkUZACYZxDIEDt1cBYJ58qzZ+XzRpZsreGd725t1Sg86AHRbkdR1RMnJzEyePCSO5RDTvZzgTgCYdBDLEHDBnLDNzfy4nw50ac2WcNZiN5XyRXORYwgAB4osBUHJdp3Pl5zlmvDAyQKhDADTBmIZAi2YJb4QzJNpzV5fz7rxUp5ojlsmk3cLYACAWpT7pGuEHgrtUniX5rrD5L2OXkU5TEUZAKYGxDIEGn/UhNI0VbGEyaJQKFuhsO3slBLNqhpJNOvrAAAaQ5dOx61crjIKasKFssYJekKZ7FgAmB4QyxB4EMyTjyrKenjzmZNuYazNj1IJ0Qwwi/gbaAp0VJgjG2iTXlFGKAPAdIJYhokAwTxdIWCyW2peqiyXqjRjuQSYDfzWDPW20pox+SCUAWDaQSzDxAlmepgnG/Wh+6FfsmWvrMy5qrMWzoT5AEwnsudKJOsjoX/TFuaF9RoAppdQVR4ogAlC1UhVIpnDPH1jYiSatZCm0jz91agjRxbsxIlNRovNwCanNsUU2KhRcoyTmw4QygAwKyCWYSJRr6sSlxHM0yWatahWX3Oh4IlmvcYwfSCWp594POrez5FIyLlIEMnTA+OhAGCWwIYNEz6HOYlgnhJkwVbol0Sy19M85zZF9Ge5CQAg+MghIpEsQeVVkpmxPm2bmrrv6h6szwEAph3EMky8YFbP1MZGbtxPBwYomtW/vL2dd6JZr6/SsyWaVXEGgOCRSsXc+9XLJGCm+jSCUAaAWQSxDBMvmH1LmCzZdOBPXxCYV2mOuVnb1Wrc/Vm9zQAwfju9BLLen/44ODa0ppNIJOyuwepB1z0XAGBWoGcZpoJKpbLbw0yi8rRbPDV2xpzFU6Oo2CCZPOhZnvwKowRyMhmnVWKGQtoQygAwi1BZhqkgHA5bLOb1Uqm6QZrydKKKsh5+eJCEs+Y2qy+S1xxguEgsSSTr/acK8vr6NiF8U45ea73mCGUAmFUQyzA1yBqmG7qsYpmMkpQJhZpWtFDXQ/M9ZQPVrGaFgEk0YwMFGCxKqJdg0qZkLlewU6cyOHhm5HWXm0eCGQBgVuEKCFMpmNPpuLPpFgoI5mnGt95vbXm2UG2UmCWcaPYs2oyRB+i1R1ViSQ+5NsgKmC182zVCGQBmHcQyTKVg9m/w4XDJiSaYbiSK/TAw3zaoDRNZtvX6M3oKoDNUSZRAllDS+2d9PYtLZ8ZIp70gLz0AAGYdxDJMLb5g9ud9wmxZtP0QIiWlVyrm7KO5XIlqM0ADkUjIhXUlk9Hd98rGRpbwvBlEuR9yFSCUAQA8EMswA4I55ISTZvfCrM1rLriHXy1TxUTWfIWCMX4KZhltIkocJxIx1/uv94Pm1ePCmN2Eek8oR9z5AAAAHohlmHri8cjOQiBhm5sI5llO0damicSB+vG0MMSmDbNss5YwVpuCNo9o759ddF30K8p6AADAHsxZhplB6dgKqlEgFAtD8AOMJB60mSKLtkSDQsNguDBnefQbhtok0rmua6B/rjOTHmTBn59PWjQacaIZAADqQSzDTKGFop+gTFIy+KjKJuEs236lUtmtOCMmhgNiefjISiuBLKu1Ngf9c5p55FB7jvhhXrLlAwDAfrBhw8xVE7UoUOiTepipIoKQHdXv1VT1TSLj0KG4Oz9UgVNgWLnMGCoIvvjRho/OX1UJde7ShwwH2fERygAArUEsw8yhRaQ3izmx069XGvdTggD2N2sB6QnnqDtXVJHzwsFKjNKBQFmsPYHshRlqY0cbgfoI0AxmKAMAdA5iGWzWZzGr2qz5vAC1yKavzRQ95FCMxTxBsrSUdN/3hXOxqHFUHDsY3Wafrl3eI+JaBUiyhm4Sr8NhRkMBAHQKYhlmGi04JZwlmLe2CP6C5kgM+/ObhcJwEgm5E+IWiSSdhVuCRd+nzxkGja5P2qjR9UpWa689wKsg04MMnUDiNQBAbxDwBbAT/OUnZSN2oNs0Wb/SJ3u/b9dWxVkimqpzkxtPyOzIkQU7cWKT49OmVUQPnVf6szZivA0ZnVNYGaBzdB751mv6kwEAugOxDLCDFqASN7Jk+2FPAF1dUEOeW8ETOlEnpFUF9ALEEM+1xwmx3FwcNztvJJABesEfj+e3HQEAQHdw9QRo0sfsj1kB6AZ/RI8XGpevE0HpdBLxDAeK40wmhyMBBsL8fMIiEbkTIhxRAIAeQSwDNOALZvUGbm3lOT7QM374UmfiuexStmkDmM6eY11P/Ndef0YcwzA3fhcWEjvnHUIZAKAfsGEDtEDCxetjztMjCCOoMHoiSu0AElI6/4rFylQK6Gm2YfvCWCIlFtsTK9jxYVTnnyrKOu90fQEAgP6gsgzQ6s3hFhthW1wMuQozqbMw3Mqzf955AksfvbTt2RDQky+MvdesVhhns0Urlbh2wOhcUalUjCAvAIABglgG6KDyp5169TDXihqAYeCJ4krd12oFtFJt9VEVWd/9UP9ARA9DFPvCuPZz7/XyNjCy2YJ73dhUg3Hgp10T5AUAMFgQywBdBH9pMUIfMwRHQHvCTeelUm/1uZBg3i+iK1Sj26D+cV8INz5Uxa89jhrjhDCGoGzoajNXLihdBwAAYLAglgE6RIJZC+WlJS/4iwoSBE1A+4vnWqGnsTH66Pcv+qJZgrpS8T73HnufT6MQlpjQMfAe9Z/r+6JWEOfzslB7Ipm5xhBElHKdSslpQn8yAMCwQCwDdIEvOrBlQ1DxBK+Xrt2IJ6DrxaK/0PYfclI0imf/c1m/JRy9h/95/deGGQqm5+Y9mn9e+++o/TfquTX+WySCZZ/2q/DTuEkA04vyDPTexXYNADBcSMMG6JFi0bNiZjJKy+YwwnQg0ekJ6nrBuSdI3U/tfG1PqPo0E9P1eF/QfGG9h/S79j8H//fW//52Ir2ZIPY/5/0J04K3WeuNnWMsFADA8KGyDNAjWuyHwxVXrcOWDdOCl7ztK9z91elWNBO4nsbdE8O+ptZHvX+UFu39nfueRZ0A9j8HmGVIuwYAGD2IZYAB2bKVlK3EbIBZpF7Qthe2EssLC+aCstDAAAeTTmt2chjbNQDAiEEsAwwoLVsfvbTsHAIAAAD6RnbrdBrbNQDAuPDmjABA30go67G4mNqdwQoAANALSrJXf7JSr+lPBgAYD1SWAYZgy5ZlThZTvycTAACgU9Tao/sJadcAAOMFsQwwNFu2V23e3FRaNuFEAABwwKIsGnabrf6cdAAAGC+IZYAhobRfJfkuLoZc8JcCwAAAAJoxNxffbeepHccGAADjA7EMMERkyfarzPqoEVNUmQEAwEcVZK+azOxkAICggVgGGFGVORKhygwAAHtQTQYACDaIZYARQZUZAAAE1WQAgMkAsQwwlipzxRYXk/QyAwDMGFSTAQAmB8QywBgIhzUSJEwvMwDAjFWT5TJSiBcAAAQfxDLAGKHKDAAw/VBNBgCYTBDLAGOGKjMAwHRCNRkAYLJBLAMEBKrMAADTA9VkAIDJB7EMENAqcyIRtUwmb+VyddxPCwAAOkT9yBLKoRC9yQAAkw5iGSCgVeZqteoWW8Vi2ba3C+N+SgAA0AYFd9UGeOn6DQAAkw1iGSCgaKEVj0d3F17ZbNEKhdK4nxYAADSQSsXc9ToajbhrNgAATAeIZYCAo8WXUJEimcSaDQAQFLBcAwBMN4hlgAkBazYAQDDAcg0AMBsglgEm0podxpoNADAGsFwDAMwOiGWACSQaDau2gTUbAGBEYLkGAJg9EMsAEwzWbACA4YLlGgBgdkEsA0yZNTuXK1o+T2o2AEC/pFJxi8cjpFwDAMwoiGWAKbNmm4UskYhZNltwM5oBAKA7ksmYJRLe6D5/IgEAAMweiGWAKUNVkGq1aqFQ3H3c3i5YqVQZ99MCAAg8cukowEuj+tTmAgAAsw13AoAptmZ7ojlklYpEc97K5eq4nxoAQOBQC4ss1+EwIhkAAPZALAPMgGiWWJadsFyuuEqz/gwAMOtEImFLp+PuWinBrI8AAAA+iGWAGUBC2RPNFbc4VC+zepqraGYAmNFr4txc3F0PEckAANAKxDLADKHE7Hg8vLtALBRKls0Wx/20AABGgirHEskKRFRwl0QzAABAKxDLADOIxLIefsVZo6Y0cgoAYBqRu1o9ydoklFDWxiEAAMBBIJYBZhh/JIoWkhqTwoxmAJg2lG6tTUF/kxAAAKBTEMsAsDsiRaJZ80WpNAPAtFSSmZUMAAC9glgGgCaiOeQqzfQ0A8AkIWGsSrJcM1SSAQCgXxDLALAPVWOE39NMejYABJlIRCLZS7dGJAMAwKBALAPAgT3Nfnp2qaSRU0XmNANAINC1SenWvtWadGsAABgkiGUAOBC/UuOPWymXK25Oc7nMoGYAGD3avFO+gsQxc5IBAGBYIJYBoOs5zZVK1YlnfdzelmiucBQBYOjE4xLJcRfghUgGAIBhg1gGgK7xe5mr1ar7XB9lz1ZvMwDAoFHgoCrJEslytyiEEAAAYNgglgGgZ7Rg9UWzPq9WzSVoa14zAEA/6JqiZGuvgryX1g8AADAquPMAwMBEs1ClWVUgwsAAoKeFSTTsqsgkWwMAwLhBLAPAUMZO+WFg6mtWpRmLNgC0Q5tsiYRntaYfGQAAggBiGQCGGgbm9zUL36ItuzYAgK4Nslp7fchYrQEAIFgglgFgpBZtfa707Fyu5KzaADB76DqQTEbd9UEuFG2uAQAABA3EMgCM7oIT9SzaqjarH9EPBMvnqTYDTDvaLFMvsh/YRao1AAAEHcQyAIy12hyJeIFgqjbn8yV6mwGmDL2/9X6XWPZDuwAAACYBxDIABKbaLDumqs2lkoRz0X0EgMlD1WOJZAljqsgAADCpIJYBIDDVZn+OajTqCWehFG2FgilVGwCCi96zSrPWRwQyAABMA4hlAAgcfhCYUGVKVSr6mwGC3YfsO0X89HsAAIBJB7EMAIGmtsfR729WlVn9zQoHA4DRoqqxKsja0NLn9CEDAMC0glgGgAlN0/bmsxIMBjD6oC49/PcjAADAtIJYBoCJ7m+uDQaTcC4UylScAQb0PovHI7sCmT5kAACYNRDLADB1wlkVZ1m1FQ4mqzbhYACdIUu1xHEsppAuCWRVkL3PAQAAZg3EMgBMpXDeS+eNOhHtjaMqueozAOyhcC4JZH/MEz3IAAAAHohlAJhaansqo9HKbmKvhLMqzqo8A8waEsRe9VgC2bNXRyKkWAMAADSCWAaAmaC2WhaLya4t4Vx1Fm0JZ/U6qwINMI2o51guC20YefZqbzMJezUAAEBrEMsAMLPBRXvJ2mFLJqu7IWGqOBeLJfdngEkVxxLGevibROFw2LUmAAAAQGcglgFgpvH6nPfs2hLPCjeqVmOIZ5hocUw4FwAAQH8glgEA2oSEIZ4hiCCOAQAAhg9iGQCgDYhnCAKIYwAAgNGDWAYAGKB49sZUlV3itj7S9wy9CGP1FiuAS5Zq/dk/95h5DAAAMDoQywAAAxTPolyO1M1zLperVi4joKEbYcw4JwAAgHGDWAYAGOKYqlYCWiOr/OozFehZEsYRJ44RxgAAAMEHsQwAMDYBXbFyWZfh6q6A9r7mPzTOivlVkyiK/dfbF8VUjAEAACYPxDIAwJjwxFT91ySOJZT10dfJ+lxC2hfTqkjXVqlh9Hg26XDdQ5Z8fX3nJ3ZEs762+0UAAACYIBDLAAABwgtxalDQO1Qq+6vNEtC+wPar0fo5CtKDeS0kdsNh9RTvVYhrxS+hWwAAANMLYhkAYEKQaAvXO7kbKs/1Itn73KtQ14pqv0rtf23W8EWv96gXwfXV4foqsn4WAAAAZgfEMgDAlFRAG3uia/Fs3XsCuZWo3vuZvf+n3efjwhe1vsD1dKz3sVb07n3eXAR7/+9eCjUAAACAT6g6i2UFAABoSSthLHHZ6o6x9/XORHQiEbV8vnTgz9Vbnlv9zO5nDQK5/v8HAAAA6AbEMgAAAAAAAEADNGABAAAAAAAANIBYBgAAAAAAAGgAsQwAAAAAAADQAGIZAAAAAAAAoAHEMgAAAAAAAEADiGUAAAAAAACABqKNXwAAgODyjGc8w7785S/XfS0Wi9mRI0fswQ9+sL3whS+0paWloT6Hl7/85e45fPrTnx7Kz/fKT37yE/uHf/gH+9KXvmRXXXWV5fN5d1xudrOb2aMe9Sh7zGMeY4lEou3veMELXmBzc3P2R3/0R3VfL5VK9pd/+Zf24Q9/2NbW1uy2t72t/eZv/qbd8Y53HOq/CQAAAMYHc5YBACZMLG9tbdnv/d7v7X6tWCzad77zHXv9619vt7nNbezv//7vLRQKDe05XH311e456O8axs/3wjvf+U770z/9U7vwwgudKL7oootseXnZTpw4YV/84hft4x//uB09etQdo1ve8pb7/v9KpWKve93r7G//9m/tkksu2SeWX/va19oHPvABe/GLX2xnn322+/u+/e1v20c+8hE7//zzh/bvAgAAgPFBZRkAYMKYn5+3O93pTnVfu/vd726ZTMbe+MY32v/+7//u+/4gOe+884b6893yx3/8x/b+97/f/vAP/9Ae//jH7/v+T//0T7uK++/8zu/Ys571LPvQhz5kp5122u73v//97zsx/K1vfcuSyeS+//+GG25wGxCveMUr7GlPe5r72v3udz97xCMeYW9961vd/wsAAADTBz3LAABTwu1udzv38frrr3cV6Je85CXOVizh/MxnPtN9T9bkP/mTP7EHPvCB7udVhf3Yxz5W93uq1aq9613vctblO9zhDvawhz3M3v72t7uv+7bqhzzkIbs/rwrrL/zCL9hd73pXu/Od72z/9//+X/vGN76x+/3Gny+Xy/be977X/d36/Q960IPsz/7sz9xzq/1/9Hs++MEPOlGq5/q4xz3OPvvZz9Y91//+7/921WCJVgll2a+f//znu+fxMz/zM+77+rPE8hve8AYn3F/zmtfU/Q7ZqfWcZOE+fPjwvuOq3yEbto6DTzwed8/7M5/5TA+vFAAAAEwCVJYBAKaEK6+80n0899xz3cd///d/t8c+9rH2N3/zN85mLLH7K7/yK/a1r33NiWj18n7yk5+03/iN37BCobBblZWYfve73+0E9n3ve19XcZWYlWD85V/+5bq/U/bqZz/72Xave93L3vSmN7nfo79PFdzLLrvMFhYW9j3P3/3d37V//ud/tl/6pV+yu93tbvbd737X/uqv/sq+973v2dve9rZdC7lE+E033eSeq6rpEru/9mu/5gSz35f96le/2v39+j0Syk95ylPsFre4hauw63jo3yae8IQnuN7uF73oRfbzP//z7vf61WX9e5tZs31+9KMfWTqddjbuWmS/1u9RRV/fBwAAgOkCsQwAMGFI9Eq4+qyvr7sALYlUVVT9CrPE4ate9SpXBRX/9V//ZZ/73Ofsz//8z501Wdz//ve3bDbrxLAqsdvb265S+/SnP91e+tKXup+5z33uY8ePH7evfOUr+8TyD3/4Q1tdXXUC9C53uYv7mvqFVaWViGwUy/p5v/f3Oc95jvuaBLmE68te9jInhFX1Fpubm84y7du4Fbyl56UeZFWbv/nNb7p+aH1N/P7v/76rDL/lLW9xQV76t914442uKu4fE1W/o9Go/eAHP9gVy+2Esv88JNYb8QWyNgwQywAAANMHYhkAYMKQaFUacy3hcNiJWlVa/cqsRKsvlH07sb4nMVortmWR/uhHP2pXXHGFE8X63sMf/vC6369+32ZcfPHFdujQIXvuc59rj3zkI51Alfj1hXYjfpL3ox/96Lqv68+/9Vu/5ZKsfbGs31vb73zGGWe4jxL3Qj97q1vdylV8Vf39whe+4ER/beK1vi98sax/v4TtxsaGdYpvP2+Fjj0AAABMH4hlAIAJQ0JZFWNf/Ekcnnnmmfuqn43VTo08kvDzK8CNyFKsKrUvVDtBf4f6j1XVlu1bFWWFZKm/WAK7VqwL//c3WppV7V1ZWXFVXJ9UKlX3M/4mgCzl4tixYy6ZulaEa8OgFqVhy7Lti+6TJ0/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+ "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "✅ Phase 1 Evaluation Complete - All metrics stored in 'retrieval_results' variable\n" + ] + } + ], + "source": [ + "# Cell 12: Create summary comparison and declare winners\n", + "print(\"\\n\" + \"=\"*80)\n", + "print(\"🏆 RETRIEVAL METHODS SUMMARY & WINNER ANALYSIS\")\n", + "print(\"=\"*80)\n", + "\n", + "# Calculate average scores across all k values\n", + "summary_data = []\n", + "\n", + "for method in ['keyword', 'vector', 'hybrid']:\n", + " avg_ndcg = np.mean([retrieval_results[method]['ndcg'].get(f\"NDCG@{k}\", 0) for k in k_values])\n", + " avg_map = np.mean([retrieval_results[method]['map'].get(f\"MAP@{k}\", 0) for k in k_values])\n", + " avg_recall = np.mean([retrieval_results[method]['recall'].get(f\"Recall@{k}\", 0) for k in k_values])\n", + " avg_precision = np.mean([retrieval_results[method]['precision'].get(f\"P@{k}\", 0) for k in k_values])\n", + " \n", + " summary_data.append({\n", + " 'Method': method.upper(),\n", + " 'Avg NDCG': avg_ndcg,\n", + " 'Avg MAP': avg_map,\n", + " 'Avg Recall': avg_recall,\n", + " 'Avg Precision': avg_precision,\n", + " 'Overall Score': (avg_ndcg + avg_map + avg_recall + avg_precision) / 4\n", + " })\n", + "\n", + "summary_df = pd.DataFrame(summary_data)\n", + "summary_df = summary_df.round(4)\n", + "\n", + "print(\"\\n📊 Average Performance Across All k Values:\")\n", + "print(\"-\" * 80)\n", + "print(summary_df.to_string(index=False))\n", + "\n", + "# Determine winners for each metric\n", + "print(\"\\n🥇 Winners by Metric:\")\n", + "print(\"-\" * 80)\n", + "for metric in ['Avg NDCG', 'Avg MAP', 'Avg Recall', 'Avg Precision', 'Overall Score']:\n", + " winner_idx = summary_df[metric].idxmax()\n", + " winner = summary_df.loc[winner_idx, 'Method']\n", + " score = summary_df.loc[winner_idx, metric]\n", + " print(f\"{metric:20s}: {winner:10s} (Score: {score:.4f})\")\n", + "\n", + "print(\"\\n\" + \"=\"*80)\n", + "\n", + "# Create a radar chart for overall comparison\n", + "fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(projection='polar'))\n", + "\n", + "categories = ['NDCG@10', 'MAP@10', 'Recall@100', 'Precision@10']\n", + "angles = np.linspace(0, 2 * np.pi, len(categories), endpoint=False).tolist()\n", + "angles += angles[:1] # Complete the circle\n", + "\n", + "for method in ['keyword', 'vector', 'hybrid']:\n", + " values = [\n", + " retrieval_results[method]['ndcg'].get('NDCG@10', 0),\n", + " retrieval_results[method]['map'].get('MAP@10', 0),\n", + " retrieval_results[method]['recall'].get('Recall@100', 0),\n", + " retrieval_results[method]['precision'].get('P@10', 0)\n", + " ]\n", + " values += values[:1] # Complete the circle\n", + " \n", + " ax.plot(angles, values, 'o-', linewidth=2.5, label=method.upper(), color=colors[method])\n", + " ax.fill(angles, values, alpha=0.15, color=colors[method])\n", + "\n", + "ax.set_xticks(angles[:-1])\n", + "ax.set_xticklabels(categories, size=12)\n", + "ax.set_ylim(0, 1)\n", + "ax.set_title('Retrieval Methods - Radar Comparison', size=16, fontweight='bold', pad=20)\n", + "ax.legend(loc='upper right', bbox_to_anchor=(1.3, 1.1))\n", + "ax.grid(True)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n✅ Phase 1 Evaluation Complete - All metrics stored in 'retrieval_results' variable\")" + ] + }, + { + "cell_type": "markdown", + "id": "7f13ab7e", + "metadata": {}, + "source": [ + "# Part 2: Evaluating RAG Pipelines" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d9734b1", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install -qU \"galileo[openai]\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9188eb05", + "metadata": {}, + "outputs": [], + "source": [ + "import getpass\n", + "import os\n", + "\n", + "# Function to securely get and set environment variables\n", + "def set_env_securely(var_name, prompt):\n", + " value = getpass.getpass(prompt)\n", + " os.environ[var_name] = value" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8470521", + "metadata": {}, + "outputs": [], + "source": [ + "set_env_securely(\"GALILEO_API_KEY\", \"Enter your Galileo API key: \")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b6d70d9", + "metadata": {}, + "outputs": [], + "source": [ + "set_env_securely(\"OPENAI_API_KEY\", \"Enter your OpenAI API key: \")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53ade417", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from galileo.openai import openai\n", + "\n", + "# Initialize the Galileo wrapped OpenAI client\n", + "openai_client = openai.OpenAI(api_key=os.environ.get(\"OPENAI_API_KEY\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1aed083f", + "metadata": {}, + "outputs": [], + "source": [ + "from galileo import log\n", + "\n", + "def hybrid_search_beir_corpus(conn, embedding_model, search_phrase: str, top_k: int = 10, show_explain: bool = False):\n", + " \"\"\"\n", + " Hybrid search on the beir_corpus table\n", + " Combines keyword filtering with vector similarity search.\n", + " \n", + " Returns:\n", + " tuple: (rows, columns, exec_plan_text)\n", + " \n", + " NOTE: This function is decorated with @log to capture retrieval metrics in Galileo\n", + " \"\"\"\n", + " # Generate query embedding\n", + " query_embedding = embedding_model.encode(\n", + " [f\"search_query: {search_phrase}\"],\n", + " convert_to_numpy=True,\n", + " normalize_embeddings=True,\n", + " show_progress_bar=False\n", + " )[0].astype(np.float32).tolist()\n", + " \n", + " query_embedding_array = array.array('f', query_embedding)\n", + " \n", + " # Extract keywords for filtering (4+ letter words)\n", + " words = re.findall(r'\\b[a-zA-Z]{4,}\\b', search_phrase.lower())\n", + " \n", + " # Build keyword filter conditions\n", + " if words:\n", + " search_words = words[:3] # Use top 3 words\n", + " or_conditions = []\n", + " \n", + " for i, word in enumerate(search_words):\n", + " or_conditions.append(f\"(LOWER(title) LIKE '%{word}%' OR LOWER(text) LIKE '%{word}%')\")\n", + " \n", + " where_clause = \" OR \".join(or_conditions)\n", + " else:\n", + " # No keywords, search everything\n", + " where_clause = \"1=1\"\n", + " \n", + " # Hybrid search SQL\n", + " sql = f\"\"\"\n", + " SELECT {\"/*+ GATHER_PLAN_STATISTICS */\" if show_explain else \"\"}\n", + " doc_id,\n", + " title,\n", + " SUBSTR(text, 1, 500) AS text_snippet,\n", + " ROUND(1.0 - VECTOR_DISTANCE(embedding, :q, COSINE), 4) AS similarity_score\n", + " FROM beir_corpus\n", + " WHERE {where_clause}\n", + " ORDER BY VECTOR_DISTANCE(embedding, :q, COSINE)\n", + " FETCH APPROX FIRST {top_k} ROWS ONLY WITH TARGET ACCURACY 90\n", + " \"\"\"\n", + " \n", + " with conn.cursor() as cur:\n", + " cur.execute(sql, q=query_embedding_array)\n", + " rows = cur.fetchall()\n", + " columns = [desc[0] for desc in cur.description]\n", + " \n", + " # Get execution plan if requested\n", + " exec_plan_text = None\n", + " if show_explain:\n", + " cur.execute(\"SELECT PLAN_TABLE_OUTPUT FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT => 'TYPICAL'))\")\n", + " exec_plan_text = \"\\n\".join([row[0] for row in cur.fetchall() if row[0]])\n", + " \n", + " # Format output for Galileo retriever span (return list of documents)\n", + " @log(span_type=\"retriever\", name=\"Hybrid Search - BEIR Corpus\")\n", + " def get_retrieved_docs(rows):\n", + " retrieved_docs = []\n", + " for row in rows:\n", + " row_data = dict(zip(columns, row))\n", + " retrieved_docs.append({\n", + " \"doc_id\": row_data.get(\"DOC_ID\"),\n", + " \"title\": row_data.get(\"TITLE\"),\n", + " \"snippet\": row_data.get(\"TEXT_SNIPPET\"),\n", + " \"score\": float(row_data.get(\"SIMILARITY_SCORE\", 0))\n", + " })\n", + " return retrieved_docs\n", + "\n", + "\n", + " retrieved_docs = get_retrieved_docs(rows)\n", + " \n", + " return rows, columns, exec_plan_text, retrieved_docs\n", + "\n", + "\n", + "print(\"✅ Hybrid search function for beir_corpus table created!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ad82fd15", + "metadata": {}, + "outputs": [], + "source": [ + "@log(span_type=\"workflow\", name=\"Research Paper RAG Pipeline\")\n", + "def research_paper_assistant_rag_pipeline(\n", + " conn,\n", + " embedding_model,\n", + " user_query: str,\n", + " top_k: int = 10,\n", + " retrieval_mode: str = \"hybrid\",\n", + " show_explain: bool = False\n", + "):\n", + " \"\"\"\n", + " Research Paper Assistant — Retrieval-Augmented Generation (RAG) pipeline\n", + " built on SQL-based retrieval functions and powered by the OpenAI Responses API.\n", + "\n", + " Retrieval techniques available:\n", + " - 'keyword' → uses keyword_search_research_papers()\n", + " - 'vector' → uses vector_search_research_papers()\n", + " - 'hybrid' → uses hybrid_search_research_papers() [default]\n", + "\n", + " Args:\n", + " conn: Oracle database connection.\n", + " embedding_model: Embedding model (e.g., SentenceTransformer, Voyage).\n", + " user_query (str): Research question from the user.\n", + " top_k (int): Number of top documents to retrieve.\n", + " retrieval_mode (str): Retrieval method ('keyword', 'vector', 'hybrid').\n", + " show_explain (bool): Whether to show the SQL execution plan.\n", + "\n", + " Returns:\n", + " str: LLM-generated research synthesis with citations.\n", + " \n", + " NOTE: This function is decorated with @log to create a workflow span containing\n", + " the retrieval span (from hybrid_search_beir_corpus) and LLM span (from OpenAI).\n", + " \"\"\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 1. Retrieve relevant research papers using the selected retrieval mode\n", + " # ----------------------------------------------------------------------\n", + " if retrieval_mode == \"keyword\":\n", + " rows, columns, exec_plan_text, retrieved_docs = vector_search_beir_corpus(conn, user_query)\n", + "\n", + " elif retrieval_mode == \"vector\":\n", + " rows, columns, exec_plan_text, retrieved_docs = hybrid_search_beir_corpus(conn, embedding_model, user_query, top_k)\n", + "\n", + " else: # default: hybrid retrieval\n", + " rows, columns, exec_plan_text, retrieved_docs = hybrid_search_beir_corpus(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " search_phrase=user_query,\n", + " top_k=top_k,\n", + " show_explain=show_explain\n", + " )\n", + "\n", + " retrieved_count = len(rows) if rows else 0\n", + " print(f\"📊 Retrieved {retrieved_count} papers using {retrieval_mode.upper()} retrieval.\")\n", + "\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 2. Convert retrieved rows to formatted LLM context\n", + " # ----------------------------------------------------------------------\n", + " formatted_context = \"\"\n", + " if retrieved_count > 0:\n", + " formatted_context += f\"\\n\\n📚 {retrieved_count} relevant research papers retrieved:\\n\\n\"\n", + " for i, row in enumerate(rows):\n", + " row_data = dict(zip(columns, row))\n", + " title = row_data.get(\"TITLE\", \"Untitled Paper\")\n", + " abstract = row_data.get(\"ABSTRACT\", \"No abstract available.\")\n", + " snippet = row_data.get(\"TEXT_SNIPPET\", \"\")\n", + " score = (\n", + " row_data.get(\"SIMILARITY_SCORE\")\n", + " or row_data.get(\"TEXT_RELEVANCE_SCORE\")\n", + " or \"N/A\"\n", + " )\n", + " formatted_context += (\n", + " f\"[{i+1}] **{title}**\\n\"\n", + " f\"Abstract: {abstract}\\n\"\n", + " f\"Snippet: {snippet}\\n\"\n", + " f\"Relevance Score: {score}\\n\\n\"\n", + " )\n", + " else:\n", + " formatted_context = \"\\n\\n⚠️ No relevant papers were retrieved from the database.\\n\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 3. Construct the prompt for the Responses API\n", + " # ----------------------------------------------------------------------\n", + " prompt = f\"\"\"\n", + " You are a **Research Paper Assistant** that synthesizes academic literature to help answer user questions.\n", + "\n", + " User Query: {user_query}\n", + "\n", + " Number of retrieved papers: {retrieved_count}\n", + " {formatted_context}\n", + "\n", + " Please:\n", + " - Summarize the findings most relevant to the query.\n", + " - Use citation numbers [X] to support claims.\n", + " - Highlight consensus, innovation, or research gaps.\n", + " - If there is insufficient context, clearly say so.\n", + " \"\"\"\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 4. Call the OpenAI Responses API\n", + " # ----------------------------------------------------------------------\n", + " response = openai_client.chat.completions.create(\n", + " model=\"gpt-4o\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a scientific research assistant. Use only the provided context to answer. Always cite papers [1], [2], etc.\"},\n", + " {\"role\": \"user\", \"content\": prompt}\n", + " ]\n", + " )\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 5. Optionally print SQL execution plan (if hybrid)\n", + " # ----------------------------------------------------------------------\n", + " if show_explain and exec_plan_text:\n", + " print(\"\\n====== SQL Execution Plan ======\")\n", + " print(exec_plan_text)\n", + " print(\"================================\\n\")\n", + "\n", + " # ----------------------------------------------------------------------\n", + " # 6. Return the LLM’s output text\n", + " # ----------------------------------------------------------------------\n", + " return response.choices[0].message.content\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "733a8ee7", + "metadata": {}, + "outputs": [], + "source": [ + "from galileo import galileo_context\n", + "\n", + "galileo_context.init(\n", + " project=\"ai_system_evaluation_project\",\n", + " log_stream=\"ai_system_evaluation_showcase\"\n", + ")\n", + "\n", + "summary = research_paper_assistant_rag_pipeline(\n", + " conn=conn,\n", + " embedding_model=embedding_model,\n", + " user_query=\"Can you get me some information on the research in the field of AI?\",\n", + " top_k=5,\n", + " retrieval_mode=\"hybrid\",\n", + " show_explain=False\n", + ")\n", + "\n", + "# Flush the logger to ensure all traces are uploaded to Galileo\n", + "# Note: The @log decorator automatically flushes when the decorated function exits,\n", + "# but in notebooks it's good practice to explicitly flush to ensure data is sent\n", + "galileo_context.flush()\n", + "print(\"✅ RAG pipeline traces flushed to Galileo\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0e674b7", + "metadata": {}, + "outputs": [], + "source": [ + "print(summary)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "oracle_demos", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..7c6e49d8 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,44 @@ +[tool.ruff] +# Ruff configuration for code formatting and linting +line-length = 100 +target-version = "py311" + +[tool.ruff.format] +# Use double quotes for strings +quote-style = "double" +# Use spaces for indentation +indent-style = "space" +# Respect magic trailing comma +skip-magic-trailing-comma = false +# Automatically detect the appropriate line ending +line-ending = "auto" + +[tool.ruff.lint] +# Enable specific rule sets +select = [ + "E", # pycodestyle errors + "W", # pycodestyle warnings + "F", # pyflakes + "I", # isort + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "UP", # pyupgrade +] +ignore = [ + "E501", # line too long (handled by formatter) + "B008", # do not perform function calls in argument defaults +] + +[tool.ruff.lint.isort] +known-first-party = ["oracle", "oci"] + +[tool.prettier] +# Prettier configuration (if using prettier via npm) +printWidth = 100 +tabWidth = 2 +useTabs = false +semi = true +singleQuote = false +trailingComma = "es5" +bracketSpacing = true +arrowParens = "always" diff --git a/requirements-dev.txt b/requirements-dev.txt new file mode 100644 index 00000000..8ec49ed2 --- /dev/null +++ b/requirements-dev.txt @@ -0,0 +1,3 @@ +# Development dependencies for pre-commit and code formatting +pre-commit>=3.5.0 +ruff>=0.1.9 From 24083e10bcfbcdaef3bc71bbefd4277fc1747da9 Mon Sep 17 00:00:00 2001 From: Richmond Alake Date: Sun, 30 Nov 2025 23:40:11 +0000 Subject: [PATCH 2/3] fix: resolve pre-commit hook issues - Remove unused variable in server.py (ruff F841) - Fix invalid JSON comment in release_files.json - Allow multi-document YAML for Kubernetes manifests - Increase max file size limit to 2MB for demo assets --- .pre-commit-config.yaml | 3 ++- apps/oci-generative-ai-jet-ui/release_files.json | 1 - apps/oci-generative-ai-jet-ui/service/python/server.py | 1 - 3 files changed, 2 insertions(+), 3 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 8064e071..60062d1f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -33,8 +33,9 @@ repos: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml + args: [--allow-multiple-documents] - id: check-json - id: check-added-large-files - args: ["--maxkb=1000"] + args: ["--maxkb=2000"] - id: check-merge-conflict - id: detect-private-key diff --git a/apps/oci-generative-ai-jet-ui/release_files.json b/apps/oci-generative-ai-jet-ui/release_files.json index 8cf7d73f..fe51488c 100644 --- a/apps/oci-generative-ai-jet-ui/release_files.json +++ b/apps/oci-generative-ai-jet-ui/release_files.json @@ -1,2 +1 @@ -// see https://github.com/oracle-devrel/action-release-zip-maker for docs [] diff --git a/apps/oci-generative-ai-jet-ui/service/python/server.py b/apps/oci-generative-ai-jet-ui/service/python/server.py index 1a7de7c3..1781fbbd 100644 --- a/apps/oci-generative-ai-jet-ui/service/python/server.py +++ b/apps/oci-generative-ai-jet-ui/service/python/server.py @@ -27,7 +27,6 @@ @throttle(rate_limit=15, period=65.0) async def generate_ai_response(prompts): - prompt = "" llm_inference_request = oci.generative_ai_inference.models.CohereLlmInferenceRequest() llm_inference_request.prompt = prompts llm_inference_request.max_tokens = 1000 From 13bf78b5471ffa91f8284b2f351cbccdcfe2ce0b Mon Sep 17 00:00:00 2001 From: Richmond Alake Date: Sun, 30 Nov 2025 23:45:25 +0000 Subject: [PATCH 3/3] chore: remove duplicate app files from root The oci-generative-ai-jet-ui files were incorrectly duplicated at the repository root. They should only exist under apps/oci-generative-ai-jet-ui/ --- CONTRIBUTING.md | 55 - FAQ.md | 15 - JET.md | 213 - K8S.md | 196 - LICENSE | 35 - LOCAL.md | 101 - SECURITY.md | 38 - app/.gitignore | 22 - app/Dockerfile | 22 - app/oraclejafconfig.json | 41 - app/oraclejetconfig.json | 28 - app/package.json | 29 - app/path_mapping.json | 396 -- app/scripts/hooks/after_app_create.js | 14 - app/scripts/hooks/after_app_restore.js | 14 - app/scripts/hooks/after_app_typescript.js | 14 - app/scripts/hooks/after_build.js | 15 - app/scripts/hooks/after_component_build.js | 15 - app/scripts/hooks/after_component_create.js | 15 - app/scripts/hooks/after_component_package.js | 13 - .../hooks/after_component_typescript.js | 14 - app/scripts/hooks/after_serve.js | 15 - app/scripts/hooks/after_watch.js | 15 - app/scripts/hooks/before_app_typescript.js | 15 - app/scripts/hooks/before_build.js | 15 - .../hooks/before_component_optimize.js | 15 - app/scripts/hooks/before_component_package.js | 13 - 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There are multiple ways to contribute. - -## Opening issues - -For bugs or enhancement requests, please file a GitHub issue unless it's -security related. When filing a bug remember that the better written the bug is, -the more likely it is to be fixed. If you think you've found a security -vulnerability, do not raise a GitHub issue and follow the instructions in our -[security policy](./SECURITY.md). - -## Contributing code - -We welcome your code contributions. Before submitting code via a pull request, -you will need to have signed the [Oracle Contributor Agreement][OCA] (OCA) and -your commits need to include the following line using the name and e-mail -address you used to sign the OCA: - -```text -Signed-off-by: Your Name -``` - -This can be automatically added to pull requests by committing with `--sign-off` -or `-s`, e.g. - -```text -git commit --signoff -``` - -Only pull requests from committers that can be verified as having signed the OCA -can be accepted. - -## Pull request process - -1. Ensure there is an issue created to track and discuss the fix or enhancement - you intend to submit. -1. Fork this repository. -1. Create a branch in your fork to implement the changes. We recommend using - the issue number as part of your branch name, e.g. `1234-fixes`. -1. Ensure that any documentation is updated with the changes that are required - by your change. -1. Ensure that any samples are updated if the base image has been changed. -1. Submit the pull request. *Do not leave the pull request blank*. Explain exactly - what your changes are meant to do and provide simple steps on how to validate. - your changes. Ensure that you reference the issue you created as well. -1. We will assign the pull request to 2-3 people for review before it is merged. - -## Code of conduct - -Follow the [Golden Rule](https://en.wikipedia.org/wiki/Golden_Rule). If you'd -like more specific guidelines, see the [Contributor Covenant Code of Conduct][COC]. - -[OCA]: https://oca.opensource.oracle.com -[COC]: https://www.contributor-covenant.org/version/1/4/code-of-conduct/ diff --git a/FAQ.md b/FAQ.md deleted file mode 100644 index a7ff3eeb..00000000 --- a/FAQ.md +++ /dev/null @@ -1,15 +0,0 @@ -# FAQ - -## Technical help - -### Get the Load Balancer Public IP address - -```bash -kubectl get service -n ingress-nginx -o jsonpath='{.items[?(@.spec.type=="LoadBalancer")].status.loadBalancer.ingress[0].ip}' -``` - -### Get the `dockerconfigjson` from the secret - -```bash -kubectl get secret ocir-secret --output="jsonpath={.data.\.dockerconfigjson}" | base64 --decode | jq -``` diff --git a/JET.md b/JET.md deleted file mode 100644 index 363522dd..00000000 --- a/JET.md +++ /dev/null @@ -1,213 +0,0 @@ -# Enhance Engagement Using Content Generation with OCI Generative AI - -[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_oci-generative-ai-jet-ui)](https://sonarcloud.io/dashboard?id=oracle-devrel_oci-generative-ai-jet-ui) - -## Introduction - -Using Oracle JET, create a user-friendly prompt-led user interface (UI) to interact with Oracle's new Generative AI service. This toolkit will configure your Generative AI Service connection so you can begin your journey with AI, or migrate your existing (local or Cloud) LLMs to the Oracle AppDev ecosystem. - -Oracle JET(Preact) allows you to craft pixel-perfect UIs which are fast, lightweight, and engaging. Your code takes centre stage with Oracle JET, while its powerful features enable you to create dynamic user experiences quickly and reliably. - -Oracle's Generative AI service allows developers to unlock a better user experience for chat systems, question-and-answer solutions, and much more. This project provides a front end to that service so you can experiment and get a sense of the immense power of Oracle Generative AI. This is an excellent starting point on your AI journey, and experienced developers will be able to quickly port their LLMs to leverage this powerful service. - -Check out [demo here](https://youtu.be/hpRoQ93YeaQ) - -![alt text here](images/demo.gif) - -## Getting Started - -### 0. Prerequisites and setup - -- Oracle Cloud Infrastructure (OCI) Account -- Oracle Cloud Infrastructure (OCI) Generative AI Service - [Getting Started with Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/getting-started.htm) -- Oracle Cloud Infrastructure Documentation - [Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm) -- Oracle Cloud Infrastructure (OCI) Generative AI Service SDK - [Oracle Cloud Infrastructure Python SDK](https://pypi.org/project/oci/) -- Node v16 - [Node homepage](https://nodejs.org/en) -- Oracle JET v15 - [Oracle JET Homepage](https://www.oracle.com/webfolder/technetwork/jet/index.html) - -Follow the links below to generate a config file and a key pair in your ~/.oci directory - -- [SDK config](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm) -- [API signing key](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/apisigningkey.htm) -- [CLI install](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/cliinstall.htm#configfile) - -After completion, you should have the following 2 things in your `~/.oci directory` - -- A config file(where key file point to private key:key_file=`~/.oci/oci_api_key.pem`) -- A key pair named `oci_api_key.pem` and `oci_api_key_public.pem` -- Now make sure you change the reference of the key file in the config file -- Append OCI Generative-AI service compartment and endpoint URL - -```console -vim service/python/server.py -``` - -```Python -#TODO: Update this section with your tenancy details -compartment_id = "ocid1.compartment.oc1.." -CONFIG_PROFILE = "DEFAULT" -config = oci.config.from_file("~/.oci/config", CONFIG_PROFILE) -endpoint = "https://inference.generativeai..oci.oraclecloud.com" -generative_ai_inference_client = ( - oci.generative_ai_inference.GenerativeAiInferenceClient( - config=config, - service_endpoint=endpoint, - retry_strategy=oci.retry.NoneRetryStrategy(), - timeout=(10, 240), - ) -) -``` - -### 1. (Optional) Modify websocket ports - -- In the root of the project directory run to edit ports - -```console -vim app/src/components/content/index.tsx -``` - -```js -const gateway = ws://${window.location.hostname}:1234; -``` - -- Update default port in Python websocket server: - -```console -vim service/python/server.py -``` - -```Python -async def start_server(): - await websockets.serve(handle_websocket, "localhost", 1234 ) -``` - -### 2. Upload Public Key - -- Upload your oci_api_key_public.pem to console: -[API signing key](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/apisigningkey.htm#three) - -### 3. Install all dependencies - -We suggest you install dependencies in a virtual environment to avoid conflicts on your system. - -- Navigate to the server root folder - -```console -cd service/python -``` - -- Create a virtual environment: - -```console -python3 -m venv venv -``` - -- Activate your virtual environment: - -```console -. venv/bin/activate -``` - -- Upgrade pip: - -```console -pip3 install --upgrade pip -``` - -- Install requirements: - -```console -pip3 install -r requirements.txt -``` - -## 4. Start the websocket server app - -Once dependencies are installed and your service credentials are updated you can run server.py - -```console -python3 server.py -``` - -## 5. Start JET Client - -- Open app directory: - -```console -cd ../../app -``` - -- Install dependencies: - -```console -npm install -``` - -- Run local version: - -```console -npx ojet serve -``` - -- Or package for web deployment - -```console -npx ojet build web -``` - - You can now ask question to generate LLM based response. - ![alt text here](images/QandA.png) - - Note that sample app can generate markdown. - ![alt text here](images/Markdown.png) - -## Appendix: Token-based Authentication - -Check [Token-based Authentication for the CLI](https://docs.oracle.com/en-us/iaas/Content/API/SDKDocs/clitoken.htm#Running_Scripts_on_a_Computer_without_a_Browser) - -```Python -config = oci.config.from_file('~/.oci/config', profile_name="DEFAULT") - -def make_security_token_signer(oci_config): - pk = oci.signer.load_private_key_from_file(oci_config.get("key_file"), None) - with open(oci_config.get("security_token_file")) as f: - st_string = f.read() - return oci.auth.signers.SecurityTokenSigner(st_string, pk) - -signer = make_security_token_signer(oci_config=config) -# Service endpoint -endpoint = "https://generativeai.aiservice..oci.oraclecloud.com" - -generative_ai_client = oci.generative_ai.generative_ai_client.GenerativeAiClient(config=config, service_endpoint=endpoint, retry_strategy=oci.retry.NoneRetryStrategy(), signer=signer) -``` - -## Notes/Issues - -Additional Use Cases like summarization and embedding coming soon. - -To change output parameters edit server.py - -```Python - cohere_generate_text_request.max_tokens = 500 # choose the number of tokens 1-4000 - cohere_generate_text_request.temperature = 0.75 # adjust temperature 0-1 - cohere_generate_text_request.top_p = 0.7 # adjust top_p 0-1 - cohere_generate_text_request.frequency_penalty = 1.0 # adjust frequency_penalty -``` - -## URLs - -- [Oracle AI](https://www.oracle.com/artificial-intelligence/) -- [AI for Developers](https://developer.oracle.com/technologies/ai.html) - -## Contributing - -This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open-source community. - -## License - -Copyright (c) 2024 Oracle and/or its affiliates. - -Licensed under the Universal Permissive License (UPL), Version 1.0. - -See [LICENSE](LICENSE) for more details. - -ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK. \ No newline at end of file diff --git a/K8S.md b/K8S.md deleted file mode 100644 index 910fb93e..00000000 --- a/K8S.md +++ /dev/null @@ -1,196 +0,0 @@ -# Accelerating AI Application Deployment Using Cloud Native Strategies - -## Introduction - -Kubernetes has become the standard for managing containerized applications, and Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) is a managed Kubernetes service that delivers outstanding cloud reliability. Now, imagine using OKE with AI to create powerful, scalable, highly available AI applications. - -This project deploys an AI pipeline with a multipurpose front end for text generation and summarization. The pipeline integrates with a database to track interactions, enabling fine-tuning and performance monitoring for application optimization. It leverages OCI Generative AI APIs on a Kubernetes cluster. - -## Getting Started - -### 0. Prerequisites and setup - -- Oracle Cloud Infrastructure (OCI) Account - [sign-up page](https://www-sites.oracle.com/artificial-intelligence/solutions/deploy-ai-apps-fast/#:~:text=Oracle%20Cloud%20account%E2%80%94-,sign%2Dup%20page,-Oracle%20Cloud%20Infrastructure) -- Oracle Cloud Infrastructure (OCI) Generative AI Service - [Getting Started with Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/getting-started.htm) -- Oracle Cloud Infrastructure Documentation - [Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm) -- Oracle Cloud Infrastructure (OCI) Generative AI Service SDK - [Oracle Cloud Infrastructure Python SDK](https://pypi.org/project/oci/) -- Node v16 - [Node homepage](https://nodejs.org/en) -- Oracle JET v15 - [Oracle JET Homepage](https://www.oracle.com/webfolder/technetwork/jet/index.html) -- OCI Container Engine for Kubernetes — [documentation](https://docs.oracle.com/en-us/iaas/Content/ContEng/Concepts/contengoverview.htm) -- Oracle Autonomous Database — [documentation](https://docs.oracle.com/en/database/autonomous-database-cloud-services.html) -- Spring Boot framework — [documentation](https://docs.spring.io/spring-boot/docs/3.2.5/reference/htmlsingle/) - -![Architecture](./images/architecture.png) - -Get troubleshoot help on the [FAQ](FAQ.md) - -## Requirements - -You need to be an administrator. - -> If not should have enough privileges for OKE, Network, and Database services. Plus others like tenancy inspect. See example: -> -> ``` -> Allow group 'Default'/'GroupName' to inspect tenancies in tenancy -> ``` - -## Set Up environment - -On Cloud Shell, clone the repository: - -```bash -git clone https://github.com/oracle-devrel/oci-generative-ai-jet-ui.git -``` - -Change to the new folder: - -```bash -cd oci-generative-ai-jet-ui -``` - -Install Node.js 16 on Cloud Shell. - -```bash -nvm install 18 && nvm use 18 -``` - -Install dependencies for scripts. - -```bash -cd scripts/ && npm install && cd .. -``` - -### Set the environment variables - -Generate `genai.json` file with all environment variables. - -```bash -npx zx scripts/setenv.mjs -``` - -> Answer the Compartment name where you want to deploy the infrastructure. Root compartment is the default. - -### Deploy Infrastructure - -Generate `terraform.tfvars` file for Terraform. - -```bash -npx zx scripts/tfvars.mjs -``` - -```bash -cd deploy/terraform -``` - -Init Terraform providers: - -```bash -terraform init -``` - -Apply deployment: - -```bash -terraform apply --auto-approve -``` - -```bash -cd ../.. -``` - -## Release and create Kustomization files - -Build and push images: - -```bash -npx zx scripts/release.mjs -``` - -Create Kustomization files - -```bash -npx zx scripts/kustom.mjs -``` - -### Kubernetes Deployment - -```bash -export KUBECONFIG="$(pwd)/deploy/terraform/generated/kubeconfig" -``` - -```bash -kubectl cluster-info -``` - -```bash -kubectl apply -k deploy/k8s/overlays/prod -``` - -Run `get deploy` a few times: - -```bash -kubectl get deploy -n backend -``` - -Wait for all deployments to be `Ready` and `Available`. - -``` -NAME READY UP-TO-DATE AVAILABLE AGE -backend 1/1 1 1 3m28s -ingress-nginx-controller 1/1 1 1 3m17s -web 1/1 1 1 3m21s -``` - -Access your application: - -```bash -echo $(kubectl get service \ - -n backend \ - -o jsonpath='{.items[?(@.spec.type=="LoadBalancer")].status.loadBalancer.ingress[0].ip}') -``` - -> This command will list the Load Balancer services on the `backend` namespace. If the response is an empty string, wait a bit and execute the command again. The Load Balancer takes a bit of time to create the Public IP address. - -Paste the Public IP address on your browser and test your new Generative AI website deployed in Kubernetes. - -Remember to visit SQL Developer Web on the OCI Console for your Oracle Database and run some queries to investigate the historical of prompts. - -```sql -SELECT * FROM interactions; -``` - -```bash -cd ../.. -``` - -## Clean up - -Delete Kubernetes components - -```bash -kubectl delete -k deploy/k8s/overlays/prod -``` - -Destroy infrastructure with Terraform. - -```bash -cd deploy/terraform -``` - -```bash -terraform destroy -auto-approve -``` - -```bash -cd ../.. -``` - -Clean up the artifacts on Object Storage - -```bash -npx zx scripts/clean.mjs -``` - -## Local deployment - -Run locally with these steps [Local](LOCAL.md) diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 9b47cfba..00000000 --- a/LICENSE +++ /dev/null @@ -1,35 +0,0 @@ -Copyright (c) 2024 Oracle and/or its affiliates. - -The Universal Permissive License (UPL), Version 1.0 - -Subject to the condition set forth below, permission is hereby granted to any -person obtaining a copy of this software, associated documentation and/or data -(collectively the "Software"), free of charge and under any and all copyright -rights in the Software, and any and all patent rights owned or freely -licensable by each licensor hereunder covering either (i) the unmodified -Software as contributed to or provided by such licensor, or (ii) the Larger -Works (as defined below), to deal in both - -(a) the Software, and -(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if -one is included with the Software (each a "Larger Work" to which the Software -is contributed by such licensors), - -without restriction, including without limitation the rights to copy, create -derivative works of, display, perform, and distribute the Software and make, -use, sell, offer for sale, import, export, have made, and have sold the -Software and the Larger Work(s), and to sublicense the foregoing rights on -either these or other terms. - -This license is subject to the following condition: -The above copyright notice and either this complete permission notice or at -a minimum a reference to the UPL must be included in all copies or -substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. \ No newline at end of file diff --git a/LOCAL.md b/LOCAL.md deleted file mode 100644 index d97c2359..00000000 --- a/LOCAL.md +++ /dev/null @@ -1,101 +0,0 @@ -# Run Local - -## Run components - -### Run web - -Run locally in a terminal with: - -```bash -cd web -``` - -```bash -npm run dev -``` - -### Run Backend - -Run locally on another terminal with: - -```bash -cd backend -``` - -Copy `/backend/src/main/resources/application.yaml` to `/backend/src/main/resources/application-local.yaml` and modify the values required. - -It should look like this: - -```yaml -spring: - main: - banner-mode: "off" - profiles: - active: production - datasource: - driver-class-name: oracle.jdbc.OracleDriver - url: jdbc:oracle:thin:@ADB_SERVICE_NAME_GOES_HERE_high?TNS_ADMIN=/PATH/TO/WALLET/UNZIPPED/IN/TERRAFORM/GENERATED - username: ADMIN - password: "ADB_PASSWORD_GOES_HERE" - type: oracle.ucp.jdbc.PoolDataSource - oracleucp: - sql-for-validate-connection: SELECT * FROM dual - connection-pool-name: connectionPoolName1 - initial-pool-size: 5 - min-pool-size: 5 - max-pool-size: 10 - jpa: - hibernate: - use-new-id-generator-mappings: false - ddl-auto: update -oracle: - jdbc: - fanEnabled: true - -genai: - endpoint: "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" - region: "us-chicago-1" - compartment_id: "GENAI_COMPARTMENT_OCID_GOES_HERE" - chat_model_id: "GEN_AI_CHAT_MODEL_OCID_GOES_HERE" - summarization_model_id: "GEN_AI_SUMMARIZATION_MODEL_OCID_GOES_HERE" -``` - -Run the Spring Boot backend application in local profile: - -```bash -./gradlew bootRun -Plocal -``` - -## Other tasks - -### Build Java Application: - -```bash -cd backend -``` - -```bash -./gradlew bootJar -``` - -> `build/libs/backend-0.0.1.jar` jar file generated - -```bash -cd .. -``` - -### Build Web Application: - -```bash -cd web -``` - -```bash -npm run build -``` - -> `dist` folder generated - -```bash -cd .. -``` diff --git a/SECURITY.md b/SECURITY.md deleted file mode 100644 index 2ca81027..00000000 --- a/SECURITY.md +++ /dev/null @@ -1,38 +0,0 @@ -# Reporting security vulnerabilities - -Oracle values the independent security research community and believes that -responsible disclosure of security vulnerabilities helps us ensure the security -and privacy of all our users. - -Please do NOT raise a GitHub Issue to report a security vulnerability. If you -believe you have found a security vulnerability, please submit a report to -[secalert_us@oracle.com][1] preferably with a proof of concept. Please review -some additional information on [how to report security vulnerabilities to Oracle][2]. -We encourage people who contact Oracle Security to use email encryption using -[our encryption key][3]. - -We ask that you do not use other channels or contact the project maintainers -directly. - -Non-vulnerability related security issues including ideas for new or improved -security features are welcome on GitHub Issues. - -## Security updates, alerts and bulletins - -Security updates will be released on a regular cadence. Many of our projects -will typically release security fixes in conjunction with the -Oracle Critical Patch Update program. Additional -information, including past advisories, is available on our [security alerts][4] -page. - -## Security-related information - -We will provide security related information such as a threat model, considerations -for secure use, or any known security issues in our documentation. Please note -that labs and sample code are intended to demonstrate a concept and may not be -sufficiently hardened for production use. - -[1]: mailto:secalert_us@oracle.com -[2]: https://www.oracle.com/corporate/security-practices/assurance/vulnerability/reporting.html -[3]: https://www.oracle.com/security-alerts/encryptionkey.html -[4]: https://www.oracle.com/security-alerts/ diff --git a/app/.gitignore b/app/.gitignore deleted file mode 100644 index d7bceece..00000000 --- a/app/.gitignore +++ /dev/null @@ -1,22 +0,0 @@ -/jet_components -/exchange_components -/node_modules -/bower_components -/dist -/web -/staged-themes -/themes -/jaftmp@ - -/hybrid/node_modules -/hybrid/platforms -/hybrid/www/* - -!hybrid/plugins -hybrid/plugins/* -!hybrid/plugins/fetch.json - -package-lock.json - -.DS_Store -Thumbs.db diff --git a/app/Dockerfile b/app/Dockerfile deleted file mode 100644 index 2b322a93..00000000 --- a/app/Dockerfile +++ /dev/null @@ -1,22 +0,0 @@ -FROM --platform=linux/amd64 node:18-slim AS builder - -WORKDIR /usr/src/app -RUN mkdir -p ./src -RUN mkdir -p ./scripts - -COPY src/ ./src/ -COPY scripts/ ./scripts/ -COPY *.json ./ - - -RUN npm install -g @oracle/ojet-cli@16.1.0 -RUN npm install -RUN ojet build web --release - -FROM --platform=linux/amd64 nginx:1.23-alpine-slim -RUN rm -rf /usr/share/nginx/html/* -COPY --from=builder /usr/src/app/web/ /usr/share/nginx/html/ - -EXPOSE 80 - -CMD ["nginx", "-g", "daemon off;"] \ No newline at end of file diff --git a/app/oraclejafconfig.json b/app/oraclejafconfig.json deleted file mode 100644 index 7150ef2a..00000000 --- a/app/oraclejafconfig.json +++ /dev/null @@ -1,41 +0,0 @@ -{ - "title": [ - "+---------------------------------------------------------------------+", - "| OJET Application Audit |", - "+---------------------------------------------------------------------+", - "JAF $jafver - Jet $jetver : ($jafdate, $jaftime)\n" - ], - "base": "$jafcwd", - "files": [ - "./src/**/*.html", - "./src/**/*.js", - "./src/**/*.ts", - "./src/**/component.json", - "./src/styles/**/*.css" - ], - "exclude": [ - "./src/**/*-min.js", - "./src/**/*-min.css", - "./src/styles/*", - "./**/node_modules/**/*.*" - ], - "components": ["./jet_components/**/component.json"], - "builtinJetRules": true, - "jetVer": "15.1", - "ecmaVer": 14, - "format": "prose", - "severity": "all", - "groups": ["all"], - "theme": "Redwood", - "typescript": { - "tsconfig": "." - }, - "options": { - "verbose": false, - "color": true - }, - "ojet": { - "update": true, - "md5": "157a41b6c41e0ea3a2cf1220cb184de3" - } -} diff --git a/app/oraclejetconfig.json b/app/oraclejetconfig.json deleted file mode 100644 index 5605e78a..00000000 --- a/app/oraclejetconfig.json +++ /dev/null @@ -1,28 +0,0 @@ -{ - "paths": { - "source": { - "common": "src", - "web": "src-web", - "javascript": ".", - "typescript": ".", - "styles": "styles", - "themes": "themes", - "components": "components", - "exchangeComponents": "exchange_components" - }, - "staging": { - "web": "web", - "themes": "staged-themes" - } - }, - "defaultBrowser": "chrome", - "sassVer": "8.0.0", - "defaultTheme": "redwood", - "typescriptLibraries": "typescript@5.3.2 yargs-parser@~13.1.2", - "webpackLibraries": "webpack@5.75.0 @types/node@18.16.3 webpack-dev-server style-loader css-loader sass-loader sass ts-loader@8.4.0 raw-loader noop-loader html-webpack-plugin html-replace-webpack-plugin copy-webpack-plugin @prefresh/webpack @prefresh/babel-plugin webpack-merge compression-webpack-plugin mini-css-extract-plugin clean-webpack-plugin css-fix-url-loader", - "mochaTestingLibraries": "karma mocha sinon chai@^4 coverage karma-chai@0.1.0 karma-coverage@2.2.0 karma-chrome-launcher@3.1.1 karma-mocha@2.0.1 karma-mocha-reporter@2.2.5 karma-requirejs@1.1.0 karma-fixture@0.2.6 karma-sinon@1.0.5 karma-typescript@5.5.4 @types/chai@4.3.4 @types/karma-fixture@0.2.5 @types/mocha@10.0.1 @types/sinon@10.0.13", - "jestTestingLibraries": "jest@^29 @testing-library/preact@2.0.1 @types/jest@29.0 jest-environment-jsdom@27.5.1 @oracle/oraclejet-jest-preset@~16.0.0", - "architecture": "vdom", - "watchInterval": 1000, - "exchange-url": "https://exchange.oraclecorp.com/api/0.2.0/" -} \ No newline at end of file diff --git a/app/package.json b/app/package.json deleted file mode 100644 index 53c11b5a..00000000 --- a/app/package.json +++ /dev/null @@ -1,29 +0,0 @@ -{ - "name": "JETGenAI", - "version": "1.0.0", - "description": "Sample Client app showing communication with OCI Generative AI services via Websocket", - "dependencies": { - "@oracle/oraclejet": "~16.1.0", - "@oracle/oraclejet-core-pack": "~16.1.0", - "@stomp/stompjs": "^7.0.0", - "marked": "^4.3.0", - "uuid": "^9.0.1" - }, - "devDependencies": { - "@oracle/ojet-cli": "~16.1.0", - "@oracle/oraclejet-audit": "^16.1.0", - "@types/uuid": "^9.0.7", - "express-http-proxy": "^2.0.0", - "extract-zip": "^1.7.0", - "fs-extra": "^8.1.0", - "glob": "7.2.0", - "typescript": "5.3.2", - "underscore": "^1.10.2", - "url": "^0.11.3", - "yargs-parser": "13.1.2" - }, - "engines": { - "node": ">=16.0.0" - }, - "private": true -} diff --git a/app/path_mapping.json b/app/path_mapping.json deleted file mode 100644 index 609e43a6..00000000 --- a/app/path_mapping.json +++ /dev/null @@ -1,396 +0,0 @@ -{ - "use": "local", - "cdns": { - "jet": { - "prefix": "https://static.oracle.com/cdn/jet/16.0.0/default/js", - "css": "https://static.oracle.com/cdn/jet/16.0.0/default/css", - "csspreact": "https://static.oracle.com/cdn/jet/16.0.0/3rdparty/oraclejet-preact/amd", - "config": "bundles-config.js" - }, - "3rdparty": "https://static.oracle.com/cdn/jet/16.0.0/3rdparty" - }, - "libs": { - "knockout": { - "cdn": "3rdparty", - "cwd": "node_modules/knockout/build/output", - "debug": { - "src": "knockout-latest.debug.js", - "path": "libs/knockout/knockout-#{version}.debug.js", - "cdnPath": "knockout/knockout-3.5.1.debug" - }, - "release": { - "src": "knockout-latest.js", - "path": "libs/knockout/knockout-#{version}.js", - "cdnPath": "knockout/knockout-3.5.1" - } - }, - "jquery": { - "cdn": "3rdparty", - "cwd": "node_modules/jquery/dist", - "debug": { - "src": "jquery.js", - "path": "libs/jquery/jquery-#{version}.js", - "cdnPath": "jquery/jquery-3.6.4" - }, - "release": { - "src": "jquery.min.js", - "path": "libs/jquery/jquery-#{version}.min.js", - "cdnPath": "jquery/jquery-3.6.4.min" - } - }, - "jqueryui-amd": { - "cdn": "3rdparty", - "cwd": "node_modules/jquery-ui/ui", - "debug": { - "src": [ - "*.js", - "widgets/draggable.js", - "widgets/mouse.js", - "widgets/sortable.js", - "vendor/jquery-color/jquery.color.js" - ], - "path": "libs/jquery/jqueryui-amd-#{version}", - "cdnPath": "jquery/jqueryui-amd-1.13.2" - }, - "release": { - "src": [ - "*.js", - "widgets/draggable.js", - "widgets/mouse.js", - "widgets/sortable.js", - "vendor/jquery-color/jquery.color.js" - ], - "path": "libs/jquery/jqueryui-amd-#{version}.min", - "cdnPath": "jquery/jqueryui-amd-1.13.2.min" - } - }, - "hammerjs": { - "cdn": "3rdparty", - "cwd": "node_modules/hammerjs", - "debug": { - "src": "hammer.js", - "path": "libs/hammer/hammer-#{version}.js", - "cdnPath": "hammer/hammer-2.0.8" - }, - "release": { - "src": "hammer.min.js", - "path": "libs/hammer/hammer-#{version}.min.js", - "cdnPath": "hammer/hammer-2.0.8.min" - } - }, - "ojdnd": { - "cdn": "3rdparty", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/dnd-polyfill", - "debug": { - "src": "dnd-polyfill-1.0.2.js", - "path": "libs/dnd-polyfill/dnd-polyfill-1.0.2.js", - "cdnPath": "dnd-polyfill/dnd-polyfill-1.0.2" - }, - "release": { - "src": "dnd-polyfill-1.0.2.min.js", - "path": "libs/dnd-polyfill/dnd-polyfill-1.0.2.min.js", - "cdnPath": "dnd-polyfill/dnd-polyfill-1.0.2.min" - } - }, - "ojs": { - "cdn": "jet", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", - "debug": { - "src": ["debug*/**"], - "path": "libs/oj/#{version}", - "pathSuffix": "/debug'", - "cdnPath": "" - }, - "release": { - "src": ["min*/**"], - "path": "libs/oj/#{version}", - "pathSuffix": "/min'", - "cdnPath": "" - } - }, - "ojL10n": { - "cdn": "jet", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", - "debug": { - "src": "ojL10n.js", - "path": "libs/oj/#{version}/ojL10n.js", - "cdnPath": "ojL10n" - }, - "release": { - "src": "ojL10n.js", - "path": "libs/oj/#{version}/ojL10n.js", - "cdnPath": "ojL10n" - } - }, - "ojtranslations": { - "cdn": "jet", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj/resources", - "debug": { - "src": ["**"], - "path": "libs/oj/#{version}/resources", - "cdnPath": "resources" - }, - "release": { - "src": ["**"], - "path": "libs/oj/#{version}/resources", - "cdnPath": "resources" - } - }, - "@oracle/oraclejet-preact": { - "cdn": "3rdparty", - "cwd": "node_modules/@oracle/oraclejet-preact/amd", - "debug": { - "src": ["**"], - "path": "libs/oraclejet-preact/amd", - "cdnPath": "oraclejet-preact/amd" - }, - "release": { - "src": ["**"], - "path": "libs/oraclejet-preact/amd", - "cdnPath": "oraclejet-preact/amd" - } - }, - "oj-c": { - "cdn": "3rdparty", - "cwd": "node_modules/@oracle/oraclejet-core-pack/oj-c", - "debug": { - "src": ["**"], - "path": "libs/packs/oj-c", - "cdnPath": "../../packs/oj-c/#{version}/min" - }, - "release": { - "src": ["**"], - "path": "libs/packs/oj-c/min", - "cdnPath": "../../packs/oj-c/#{version}/min" - } - }, - "persist": { - "cdn": "3rdparty", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/persist", - "debug": { - "cwd": "debug", - "src": ["**"], - "path": "libs/persist/debug", - "cdnPath": "persist/debug" - }, - "release": { - "cwd": "min", - "src": ["**"], - "path": "libs/persist/min", - "cdnPath": "persist/min" - } - }, - "text": { - "cdn": "3rdparty", - "cwd": "node_modules/requirejs-text", - "debug": { - "src": "text.js", - "path": "libs/require/text.js", - "cdnPath": "require/text" - }, - "release": { - "src": "text.js", - "path": "libs/require/text.js", - "cdnPath": "require/text" - } - }, - "signals": { - "cdn": "3rdparty", - "cwd": "node_modules/signals/dist", - "debug": { - "src": "signals.js", - "path": "libs/js-signals/signals.js", - "cdnPath": "js-signals/signals" - }, - "release": { - "src": "signals.min.js", - "path": "libs/js-signals/signals.min.js", - "cdnPath": "js-signals/signals.min" - } - }, - "touchr": { - "cdn": "3rdparty", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/touchr", - "debug": { - "src": "touchr.js", - "path": "libs/touchr/touchr.js", - "cdnPath": "touchr/touchr" - }, - "release": { - "src": "touchr.js", - "path": "libs/touchr/touchr.js", - "cdnPath": "touchr/touchr" - } - }, - "preact": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/dist", - "debug": { - "src": ["preact.umd.js", "preact.umd.js.map"], - "path": "libs/preact/dist/preact.umd.js", - "cdnPath": "preact/dist/preact.umd" - }, - "release": { - "src": ["preact.umd.js", "preact.umd.js.map"], - "path": "libs/preact/dist/preact.umd.js", - "cdnPath": "preact/dist/preact.umd" - } - }, - "preact/hooks": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/hooks/dist", - "debug": { - "src": ["hooks.umd.js", "hooks.umd.js.map"], - "path": "libs/preact/hooks/dist/hooks.umd.js", - "cdnPath": "preact/hooks/dist/hooks.umd" - }, - "release": { - "src": ["hooks.umd.js", "hooks.umd.js.map"], - "path": "libs/preact/hooks/dist/hooks.umd.js", - "cdnPath": "preact/hooks/dist/hooks.umd" - } - }, - "preact/compat": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/compat/dist", - "debug": { - "src": ["compat.umd.js", "compat.umd.js.map"], - "path": "libs/preact/compat/dist/compat.umd.js", - "cdnPath": "preact/compat/dist/compat.umd" - }, - "release": { - "src": ["compat.umd.js", "compat.umd.js.map"], - "path": "libs/preact/compat/dist/compat.umd.js", - "cdnPath": "preact/compat/dist/compat.umd" - }, - "requireMap": "react" - }, - "preact/jsx-runtime": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/jsx-runtime/dist", - "debug": { - "src": ["jsxRuntime.umd.js", "jsxRuntime.umd.js.map"], - "path": "libs/preact/jsx-runtime/dist/jsxRuntime.umd.js", - "cdnPath": "preact/jsx-runtime/dist/jsxRuntime.umd" - }, - "release": { - "src": ["jsxRuntime.umd.js", "jsxRuntime.umd.js.map"], - "path": "libs/preact/jsx-runtime/dist/jsxRuntime.umd.js", - "cdnPath": "preact/jsx-runtime/dist/jsxRuntime.umd" - } - }, - "preact/debug": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/debug/dist", - "debug": { - "src": ["debug.umd.js", "debug.umd.js.map"], - "path": "libs/preact/debug/dist/debug.umd.js", - "cdnPath": "preact/debug/dist/debug.umd" - }, - "release": { - "src": ["debug.umd.js", "debug.umd.js.map"], - "path": "libs/preact/debug/dist/debug.umd.js", - "cdnPath": "preact/debug/dist/debug.umd" - } - }, - "preact/devtools": { - "cdn": "3rdparty", - "cwd": "node_modules/preact/devtools/dist", - "debug": { - "src": ["devtools.umd.js", "devtools.umd.js.map"], - "path": "libs/preact/devtools/dist/devtools.umd.js", - "cdnPath": "preact/devtools/dist/devtools.umd" - }, - "release": { - "src": ["devtools.umd.js", "devtools.umd.js.map"], - "path": "libs/preact/devtools/dist/devtools.umd.js", - "cdnPath": "preact/devtools/dist/devtools.umd" - } - }, - "proj4": { - "cdn": "3rdparty", - "cwd": "node_modules/proj4/dist", - "debug": { - "src": "proj4-src.js", - "path": "libs/proj4js/dist/proj4-src.js", - "cdnPath": "proj4js/dist/proj4" - }, - "release": { - "src": "proj4", - "path": "libs/proj4js/dist/proj4.js", - "cdnPath": "proj4js/dist/proj4" - } - }, - "css": { - "cdn": "3rdparty", - "cwd": "node_modules/require-css", - "debug": { - "src": ["css.js", "css-builder.js", "normalize.js"], - "path": "libs/require-css/css.js", - "cdnPath": "require-css/css" - }, - "release": { - "src": ["css.min.js", "css-builder.js", "normalize.js"], - "path": "libs/require-css/css.min.js", - "cdnPath": "require-css/css.min" - } - }, - "ojcss": { - "cdn": "jet", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", - "debug": { - "src": ["debug/ojcss.js"], - "path": "libs/oj/#{version}", - "pathSuffix": "/debug/ojcss'", - "cdnPath": "ojcss" - }, - "release": { - "src": ["min/ojcss.js"], - "path": "libs/oj/#{version}", - "pathSuffix": "/min/ojcss'", - "cdnPath": "ojcss" - } - }, - "ojs/ojcss": { - "cdn": "jet", - "cwd": "node_modules/@oracle/oraclejet/dist/js/libs/oj", - "debug": { - "src": ["debug/ojcss.js"], - "path": "libs/oj/#{version}", - "pathSuffix": "/debug/ojcss'", - "cdnPath": "ojcss" - }, - "release": { - "src": ["min/ojcss.js"], - "path": "libs/oj/#{version}", - "pathSuffix": "/min/ojcss'", - "cdnPath": "ojcss" - } - }, - "chai": { - "cdn": "3rdparty", - "cwd": "node_modules/chai/", - "debug": { - "src": "chai.js", - "path": "libs/chai/chai.js", - "cdnPath": "chai/chai-4.3.10" - }, - "release": { - "src": "chai.js", - "path": "libs/chai/chai.js", - "cdnPath": "chai/chai-4.3.10.min" - } - }, - "stompjs": { - "cwd": "node_modules/@stomp/stompjs/bundles", - "debug": { - "src": "stomp.umd.js", - "path": "libs/stompjs/stomp.umd.js" - }, - "release": { - "src": "stomp.umd.min.js", - "path": "libs/stompjs/stomp.umd.min.js" - } - } - } -} diff --git a/app/scripts/hooks/after_app_create.js b/app/scripts/hooks/after_app_create.js deleted file mode 100644 index eadbe43d..00000000 --- a/app/scripts/hooks/after_app_create.js +++ /dev/null @@ -1,14 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function () { - return new Promise((resolve) => { - console.log('Running after_app_create hook.'); - resolve(); - }); -}; diff --git a/app/scripts/hooks/after_app_restore.js b/app/scripts/hooks/after_app_restore.js deleted file mode 100644 index c734a9a5..00000000 --- a/app/scripts/hooks/after_app_restore.js +++ /dev/null @@ -1,14 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function () { - return new Promise((resolve) => { - console.log('Running after_app_restore hook.'); - resolve(); - }); -}; diff --git a/app/scripts/hooks/after_app_typescript.js b/app/scripts/hooks/after_app_typescript.js deleted file mode 100644 index cc094e04..00000000 --- a/app/scripts/hooks/after_app_typescript.js +++ /dev/null @@ -1,14 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log("Running after_app_typescript hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_build.js b/app/scripts/hooks/after_build.js deleted file mode 100644 index ebed1900..00000000 --- a/app/scripts/hooks/after_build.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running after_build hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_component_build.js b/app/scripts/hooks/after_component_build.js deleted file mode 100644 index 4cbf8f06..00000000 --- a/app/scripts/hooks/after_component_build.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running after_component_build hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_component_create.js b/app/scripts/hooks/after_component_create.js deleted file mode 100644 index 893027ec..00000000 --- a/app/scripts/hooks/after_component_create.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log('Running after_component_create hook.'); - // const componentPath = configObj.componentPath; - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_component_package.js b/app/scripts/hooks/after_component_package.js deleted file mode 100644 index 20565409..00000000 --- a/app/scripts/hooks/after_component_package.js +++ /dev/null @@ -1,13 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log('Running after_component_package hook.'); - // const componentName = configObj.component. - resolve(configObj); - }); - }; \ No newline at end of file diff --git a/app/scripts/hooks/after_component_typescript.js b/app/scripts/hooks/after_component_typescript.js deleted file mode 100644 index a72b8eeb..00000000 --- a/app/scripts/hooks/after_component_typescript.js +++ /dev/null @@ -1,14 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log("Running after_component_typescript hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_serve.js b/app/scripts/hooks/after_serve.js deleted file mode 100644 index 14ab7ca2..00000000 --- a/app/scripts/hooks/after_serve.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running after_serve hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/after_watch.js b/app/scripts/hooks/after_watch.js deleted file mode 100644 index 3ebcf927..00000000 --- a/app/scripts/hooks/after_watch.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running after_watch hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_app_typescript.js b/app/scripts/hooks/before_app_typescript.js deleted file mode 100644 index 113b784f..00000000 --- a/app/scripts/hooks/before_app_typescript.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log("Running before_app_typescript hook."); - //const { tsconfigJson } = configObj.typescript; - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_build.js b/app/scripts/hooks/before_build.js deleted file mode 100644 index 3f5cf224..00000000 --- a/app/scripts/hooks/before_build.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_build hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_component_optimize.js b/app/scripts/hooks/before_component_optimize.js deleted file mode 100644 index 0f450f8c..00000000 --- a/app/scripts/hooks/before_component_optimize.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_component_optimize hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_component_package.js b/app/scripts/hooks/before_component_package.js deleted file mode 100644 index 9f645b43..00000000 --- a/app/scripts/hooks/before_component_package.js +++ /dev/null @@ -1,13 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log('Running before_component_package hook.'); - // const componentName = configObj.component. - resolve(configObj); - }); - }; \ No newline at end of file diff --git a/app/scripts/hooks/before_component_typescript.js b/app/scripts/hooks/before_component_typescript.js deleted file mode 100644 index a0f5c4a1..00000000 --- a/app/scripts/hooks/before_component_typescript.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve) => { - console.log("Running before_component_typescript hook."); - //const { tsconfigJson } = configObj.typescript; - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_injection.js b/app/scripts/hooks/before_injection.js deleted file mode 100644 index d296839e..00000000 --- a/app/scripts/hooks/before_injection.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_injection hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_optimize.js b/app/scripts/hooks/before_optimize.js deleted file mode 100644 index 8972682d..00000000 --- a/app/scripts/hooks/before_optimize.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_optimize hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_release_build.js b/app/scripts/hooks/before_release_build.js deleted file mode 100644 index c972fa30..00000000 --- a/app/scripts/hooks/before_release_build.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_release_build hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_serve.js b/app/scripts/hooks/before_serve.js deleted file mode 100644 index ba495a0e..00000000 --- a/app/scripts/hooks/before_serve.js +++ /dev/null @@ -1,46 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -"use strict"; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_serve hook."); - // ojet custom connect and serve options - const { connectOpts, serveOpts } = configObj; - const express = require("express"); - const http = require("http"); - const proxy = require("express-http-proxy"); - const url = require("url"); - - // New hostname+path as specified by question: - const apiProxy = proxy("http://localhost:8080", { - proxyReqPathResolver: (req) => url.parse("/api" + req.url).path, - }); - const app = express(); - app.use("/api", apiProxy); - // pass back custom http - configObj["http"] = http; - // pass back custom express app - configObj["express"] = app; - // pass back custom options for http.createServer - // const serverOptions = {...}; - // configObj['serverOptions'] = serverOptions; - // pass back custom server - // configObj['server'] = http.createServer(serverOptions, express()); - // const tinylr = require('tiny-lr'); - // pass back custom live reload server - // configObj['liveReloadServer'] = tinylr({ port: PORT }); - // pass back a replacement set of middleware - // configObj['middleware'] = [...]; - // pass back a set of middleware that goes before the default middleware - // configObj['preMiddleware'] = [...]; - // pass back a set of middleware that goes after the default middleware - // configObj['postMiddleware'] = [...]; - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_watch.js b/app/scripts/hooks/before_watch.js deleted file mode 100644 index 3cb52f26..00000000 --- a/app/scripts/hooks/before_watch.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_watch hook."); - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/before_webpack.js b/app/scripts/hooks/before_webpack.js deleted file mode 100644 index 0d5e04cb..00000000 --- a/app/scripts/hooks/before_webpack.js +++ /dev/null @@ -1,16 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ - -'use strict'; - -module.exports = function (configObj) { - return new Promise((resolve, reject) => { - console.log("Running before_webpack hook."); - // const { config } = configObj.webpack; - resolve(configObj); - }); -}; diff --git a/app/scripts/hooks/hooks.json b/app/scripts/hooks/hooks.json deleted file mode 100644 index 3d06b2aa..00000000 --- a/app/scripts/hooks/hooks.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "description": "OJET-CLI hooks configuration file", - "hooks": { - "after_app_create": "scripts/hooks/after_app_create.js", - "after_app_restore": "scripts/hooks/after_app_restore.js", - "after_component_create": "scripts/hooks/after_component_create.js", - "after_component_package": "scripts/hooks/after_component_package.js", - "before_build": "scripts/hooks/before_build.js", - "before_injection": "scripts/hooks/before_injection.js", - "before_optimize": "scripts/hooks/before_optimize.js", - "before_component_optimize": "scripts/hooks/before_component_optimize.js", - "before_component_package": "scripts/hooks/before_component_package.js", - "before_release": "scripts/hooks/before_release.js", - "before_watch": "scripts/hooks/before_watch.js", - "after_build": "scripts/hooks/after_build.js", - "after_component_build": "scripts/hooks/after_component_build.js", - "before_release_build": "scripts/hooks/before_release_build.js", - "before_serve": "scripts/hooks/before_serve.js", - "after_serve": "scripts/hooks/after_serve.js", - "after_watch": "scripts/hooks/after_watch.js", - "before_app_typescript": "scripts/hooks/before_app_typescript.js", - "before_component_typescript": "scripts/hooks/before_component_typescript.js", - "after_app_typescript": "scripts/hooks/after_app_typescript.js", - "after_component_typescript": "scripts/hooks/after_component_typescript.js", - "before_webpack": "scripts/hooks/before_webpack.js" - } -} diff --git a/app/src/components/app.tsx b/app/src/components/app.tsx deleted file mode 100644 index 81c81c6c..00000000 --- a/app/src/components/app.tsx +++ /dev/null @@ -1,26 +0,0 @@ -import { Header } from "./header"; -import Content from "./content/index"; -import { registerCustomElement } from "ojs/ojvcomponent"; -import { createContext } from "preact"; - -type Props = { - appName: string; -}; -const tempArray = new Uint32Array(10); -const convoUUID = window.crypto.getRandomValues(tempArray); - -export const ConvoCtx = createContext(""); - -export const App = registerCustomElement("app-root", (props: Props) => { - props.appName = "Generative AI JET UI"; - - return ( -
      - - {console.log("UUID: ", convoUUID[0].toString())} -
      - - -
      - ); -}); diff --git a/app/src/components/content/answer.tsx b/app/src/components/content/answer.tsx deleted file mode 100644 index c15ad0c3..00000000 --- a/app/src/components/content/answer.tsx +++ /dev/null @@ -1,67 +0,0 @@ -import "preact"; -import "md-wrapper/loader"; -import { ojListView } from "ojs/ojlistview"; -import "ojs/ojavatar"; - -declare global { - namespace preact.JSX { - interface IntrinsicElements { - "md-wrapper": any; - } - } -} - -type Props = { - item: ojListView.ItemTemplateContext; - sim: boolean; -}; - -export const Answer = ({ item, sim }: Props) => { - const answer = item.data.answer; - return ( - <> - {sim && ( -
    1. -
      -
      - -
      -
      - -
      -
      -
      2. - )} - {!sim && ( -
    2. -
      -
      - -
      - {/*
      - -
      */} -
      -
      3. - )} - - ); -}; diff --git a/app/src/components/content/chat.tsx b/app/src/components/content/chat.tsx deleted file mode 100644 index bfa11d8d..00000000 --- a/app/src/components/content/chat.tsx +++ /dev/null @@ -1,98 +0,0 @@ -import { Question } from "./question"; -import { Answer } from "./answer"; -import { Loading } from "./loading"; -import { ComponentProps } from "preact"; -import { useEffect, useRef, useState, MutableRef } from "preact/hooks"; -import "ojs/ojlistview"; -import { ojListView } from "ojs/ojlistview"; -import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); -import Context = require("ojs/ojcontext"); - -type Props = { - testId?: string; - data: any; - questionChanged: (event: any) => void; - question: MutableRef; -}; - -type Item = { - id: number; - answer?: string; - question?: string; - loading?: string; -}; - -type ListProps = ComponentProps<"oj-list-view">; -const madp = new MutableArrayDataProvider([], { - keyAttributes: "id", -}); - -export const Chat = ({ testId, data, questionChanged, question }: Props) => { - const dataProvider = useRef(madp); - const listRef = useRef>(null); - const [lastKey, setLastKey] = useState(0); - - const scrollPos: ListProps["scrollPosition"] = { key: lastKey }; - let busyContext = Context.getContext( - listRef.current as ojListView - ).getBusyContext(); - - useEffect(() => { - dataProvider.current.data = data; - console.log("lastKey before set: ", lastKey); - - // the use of BusyContext here should not be required. It's a workaround for JET-64237. - // it can be removed once the bug is fixed. - busyContext.whenReady().then(() => { - setLastKey(data.length - 1); - }); - }, [data, busyContext]); - - const chatNoDataTemplate = () => { - return ( -
      -
      - Be the first to ask a question! -
      -
      - ); - }; - - const chatItemTemplate = (item: ojListView.ItemTemplateContext) => { - return ( - <> - {item.data.answer && } - {item.data.loading && } - {item.data.question && } - - ); - }; - - return ( - <> -
      - - - - -
      - - - ); -}; diff --git a/app/src/components/content/data/answers.json b/app/src/components/content/data/answers.json deleted file mode 100644 index c8eb4166..00000000 --- a/app/src/components/content/data/answers.json +++ /dev/null @@ -1,6 +0,0 @@ -[ - "Answer 1", - "Answer 2", - "Answer 3", - "Answer 4" -] diff --git a/app/src/components/content/data/questions.json b/app/src/components/content/data/questions.json deleted file mode 100644 index 10b977ae..00000000 --- a/app/src/components/content/data/questions.json +++ /dev/null @@ -1,6 +0,0 @@ -[ - "Question 1", - "Question 2", - "Question 3", - "Question 4" -] diff --git a/app/src/components/content/index.tsx b/app/src/components/content/index.tsx deleted file mode 100644 index d1606401..00000000 --- a/app/src/components/content/index.tsx +++ /dev/null @@ -1,287 +0,0 @@ -import { Chat } from "./chat"; -import { Summary } from "./summary"; -import { Simulation } from "./simulation"; -import { Settings } from "./settings"; -import "preact"; -import "ojs/ojinputsearch"; -import "oj-c/message-toast"; -import "oj-c/drawer-popup"; -import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); -import { MessageToastItem } from "oj-c/message-toast"; -import { InputSearchElement } from "ojs/ojinputsearch"; -import { useState, useEffect, useRef, useContext } from "preact/hooks"; -import * as Questions from "text!./data/questions.json"; -import * as Answers from "text!./data/answers.json"; -import { initWebSocket } from "./websocket-interface"; -import { InitStomp, sendPrompt } from "./stomp-interface"; -import { Client } from "@stomp/stompjs"; -import { ConvoCtx } from "../app"; - -type ServiceTypes = "text" | "summary" | "sim"; -type BackendTypes = "java" | "python"; -type Chat = { - id?: number; - question?: string; - answer?: string; - loading?: string; -}; -type Model = { - id: string; - name: string; - vendor: string; - version: string; - capabilities: Array; - timeCreated: string; -}; - -const defaultServiceType: string = localStorage.getItem("service") || "text"; -const defaultBackendType: string = localStorage.getItem("backend") || "java"; - -const Content = () => { - const conversationId = useContext(ConvoCtx); - const [update, setUpdate] = useState>([]); - const [busy, setBusy] = useState(false); - const [summaryResults, setSummaryResults] = useState(""); - const [modelId, setModelId] = useState(null); - const [summaryPrompt, setSummaryPrompt] = useState(); - const [serviceType, setServiceType] = useState( - defaultServiceType as ServiceTypes - ); - const [backendType, setBackendType] = useState( - defaultBackendType as BackendTypes - ); - const [settingsOpened, setSettingsOpened] = useState(false); - const question = useRef(); - const chatData = useRef>([]); - const socket = useRef(); - const finetune = useRef(false); - const [client, setClient] = useState(null); - - const messagesDP = useRef( - new MutableArrayDataProvider( - [], - { keyAttributes: "summary" } - ) - ); - - // Simulation code - const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms)); - const runSimulation = async () => { - let Q = true; - let x: number = 0; - let y: number = 0; - let tempArray: Array = []; - for (let index = 0; index < 8; index++) { - if (Q) { - if (x > 0) tempArray.pop(); - tempArray.push({ question: JSON.parse(Questions)[x] }); - Q = false; - x++; - } else { - tempArray.push({ answer: JSON.parse(Answers)[y] }); - if (y < JSON.parse(Answers).length - 1) - tempArray.push({ loading: "loading" }); - Q = true; - y++; - } - setUpdate([...tempArray]); - await sleep(2000); - } - }; - - useEffect(() => { - switch (serviceType) { - case "text": - if (backendType === "python") { - initWebSocket( - setSummaryResults, - setBusy, - setUpdate, - messagesDP, - socket, - chatData - ); - } else { - setClient( - InitStomp(setBusy, setUpdate, messagesDP, chatData, serviceType) - ); - } - console.log("Running Generative service"); - return; - case "sim": - runSimulation(); - console.log("Running simulation"); - return; - case "summary": - if (backendType === "python") { - initWebSocket( - setSummaryResults, - setBusy, - setUpdate, - messagesDP, - socket, - chatData - ); - } else { - setClient( - InitStomp(setBusy, setUpdate, messagesDP, chatData, serviceType) - ); - } - console.log("Running Summarization service"); - return; - } - return () => { - socket.current ? (socket.current.onclose = () => {}) : null; - socket.current?.close(); - client?.deactivate(); - }; - }, [serviceType]); - - const handleQuestionChange = ( - event: InputSearchElement.ojValueAction - ) => { - // if we are waiting for an answer to be returned, throw an alert and return - if (busy) { - messagesDP.current.data = [ - { - summary: "Still waiting for an answer!", - detail: "Hang in there a little longer.", - autoTimeout: "on", - }, - ]; - return; - } - if (event.detail.value) { - question.current = event.detail.value; - let tempArray = [...chatData.current]; - tempArray.push({ - id: tempArray.length as number, - question: question.current, - }); - chatData.current = tempArray; - setUpdate(chatData.current); - - // adding loading animation while we wait for answer to come back - let tempAnswerArray = [...chatData.current]; - tempAnswerArray.push({ - id: tempAnswerArray.length as number, - loading: "loading", - }); - chatData.current = tempAnswerArray; - setUpdate(chatData.current); - setBusy(true); - - if (backendType === "python") { - socket.current?.send( - JSON.stringify({ msgType: "question", data: question.current }) - ); - } else { - sendPrompt( - client, - question.current!, - modelId!, - conversationId!, - finetune.current - ); - } - } - }; - - const handleFileUpload = (file: ArrayBuffer) => { - socket.current?.send(file); - }; - - const handleDrawerState = () => { - setSettingsOpened(false); - }; - const toggleDrawer = () => { - setSettingsOpened(!settingsOpened); - }; - const handleToastClose = () => { - messagesDP.current.data = []; - }; - - const serviceTypeChangeHandler = (service: ServiceTypes) => { - localStorage.setItem("service", service); - setUpdate([]); - chatData.current = []; - setServiceType(service); - }; - const backendTypeChangeHandler = (backend: BackendTypes) => { - setUpdate([]); - chatData.current = []; - setBackendType(backend); - localStorage.setItem("backend", backend); - location.reload(); - }; - const modelIdChangeHandler = (value: string, modelType: boolean) => { - if (value != null) setModelId(value); - finetune.current = modelType; - }; - const clearSummary = () => { - setSummaryResults(""); - }; - - const updateSummaryPrompt = (val: string) => { - setSummaryPrompt(val); - }; - const updateSummaryResults = (summary: string) => { - setSummaryResults(summary); - }; - - return ( -
      - - - -
      - -
      - - - -
      -
      - {serviceType === "text" && ( - - )} - {serviceType === "sim" && ( - - )} - {serviceType === "summary" && ( - - )} -
      - ); -}; -export default Content; diff --git a/app/src/components/content/loading.tsx b/app/src/components/content/loading.tsx deleted file mode 100644 index 6323972c..00000000 --- a/app/src/components/content/loading.tsx +++ /dev/null @@ -1,20 +0,0 @@ -import "preact"; -import "oj-c/progress-bar"; - -export const Loading = () => { - return ( -
    3. -
      -
      - {/*
      */} -
      - -
      -
      -
      -
      4. - ); -}; diff --git a/app/src/components/content/question.tsx b/app/src/components/content/question.tsx deleted file mode 100644 index 28b58f41..00000000 --- a/app/src/components/content/question.tsx +++ /dev/null @@ -1,48 +0,0 @@ -import "preact"; -import { ojListView } from "ojs/ojlistview"; -import "ojs/ojavatar"; - -type Props = { - item: ojListView.ItemTemplateContext; - sim: boolean; -}; -export const Question = ({ item, sim }: Props) => { - return ( - <> - {sim && ( -
    4. -
      -
      - -
      -
      - {item.data.question} -
      -
      -
      5. - )} - {!sim && ( -
    5. -
      -
      - -
      -
      - {item.data.question} -
      -
      -
      6. - )} - - ); -}; diff --git a/app/src/components/content/settings.tsx b/app/src/components/content/settings.tsx deleted file mode 100644 index babb9f71..00000000 --- a/app/src/components/content/settings.tsx +++ /dev/null @@ -1,207 +0,0 @@ -import { useEffect, useRef } from "preact/hooks"; -import "oj-c/radioset"; -import "oj-c/form-layout"; -import "oj-c/select-single"; -import "ojs/ojlistitemlayout"; -import "ojs/ojhighlighttext"; -import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); -import { ojSelectSingle } from "@oracle/oraclejet/ojselectsingle"; - -type ServiceTypeVal = "text" | "summary" | "sim"; -type BackendTypeVal = "java" | "python"; -type Services = { - label: string; - value: ServiceTypeVal; -}; -type Props = { - aiServiceType: ServiceTypeVal; - backendType: BackendTypeVal; - aiServiceChange: (service: ServiceTypeVal) => void; - backendChange: (backend: BackendTypeVal) => void; - modelIdChange: (modelId: any, modelData: any) => void; -}; - -const serviceTypes = [ - { value: "text", label: "Generative Text" }, - { value: "summary", label: "Summarize" }, -]; -// { value: "sim", label: "Simulation" }, - -const backendTypes = [ - { value: "java", label: "Java" }, - { value: "python", label: "Python" }, -]; -type Model = { - id: string; - name: string; - vendor: string; - version: string; - capabilities: Array; - timeCreated: string; -}; -type Endpoint = { - id: string; - name: string; - state: string; - model: string; - timeCreated: string; -}; -const serviceOptionsDP = new MutableArrayDataProvider< - Services["value"], - Services ->(serviceTypes, { keyAttributes: "value" }); -const backendOptionsDP = new MutableArrayDataProvider< - Services["value"], - Services ->(backendTypes, { keyAttributes: "value" }); - -export const Settings = (props: Props) => { - const handleServiceTypeChange = (event: any) => { - if (event.detail.updatedFrom === "internal") - props.aiServiceChange(event.detail.value); - }; - const handleBackendTypeChange = (event: any) => { - if (event.detail.updatedFrom === "internal") - props.backendChange(event.detail.value); - }; - - const modelDP = useRef( - new MutableArrayDataProvider([], { - keyAttributes: "id", - }) - ); - const endpoints = useRef>(); - - const fetchModels = async () => { - try { - const response = await fetch("/api/genai/models"); - if (!response.ok) { - throw new Error(`Response status: ${response.status}`); - } - const json = await response.json(); - const result = json.filter((model: Model) => { - if ( - model.capabilities.includes("CHAT") && - (model.vendor == "cohere" || model.vendor == "meta") - ) - return model; - }); - modelDP.current.data = result; - } catch (error: any) { - console.log( - "Java service not available for fetching list of Models: ", - error.message - ); - } - }; - const fetchEndpoints = async () => { - try { - const response = await fetch("/api/genai/endpoints"); - if (!response.ok) { - throw new Error(`Response status: ${response.status}`); - } - const json = await response.json(); - const result = json.filter((endpoint: Endpoint) => { - // add filtering code here - return endpoint; - }); - endpoints.current = result; - } catch (error: any) { - console.log( - "Java service not available for fetching list of Endpoints: ", - error.message - ); - } - }; - - useEffect(() => { - fetchEndpoints(); - fetchModels(); - }, []); - - const modelChangeHandler = async ( - event: ojSelectSingle.valueChanged - ) => { - let selected = event.detail.value; - let finetune = false; - const asyncIterator = modelDP.current.fetchFirst()[Symbol.asyncIterator](); - let result = await asyncIterator.next(); - let value = result.value; - let data = value.data as Array; - let idx = data.find((e: Model) => { - if (e.id === selected) return e; - }); - if (idx?.capabilities.includes("FINE_TUNE")) { - finetune = true; - let endpointId = endpoints.current?.find((e: Endpoint) => { - if (e.model === event.detail.value) { - return e.id; - } - }); - selected = endpointId ? endpointId.id : event.detail.value; - } - props.modelIdChange(selected, finetune); - }; - - const modelTemplate = (item: any) => { - return ( - - - - - - - - - ); - }; - - return ( -
      -

      AI service types

      - - - -

      Backend service types

      - - - - {props.aiServiceType == "text" && props.backendType == "java" && ( - <> -

      Model options

      - - - - - - - )} -
      - ); -}; diff --git a/app/src/components/content/simulation.tsx b/app/src/components/content/simulation.tsx deleted file mode 100644 index 8c0642c0..00000000 --- a/app/src/components/content/simulation.tsx +++ /dev/null @@ -1,103 +0,0 @@ -import { Question } from "./question"; -import { Answer } from "./answer"; -import { Loading } from "./loading"; -import { ComponentProps } from "preact"; -import { useEffect, useRef, useState, MutableRef } from "preact/hooks"; -import "ojs/ojlistview"; -import { ojListView } from "ojs/ojlistview"; -import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); -import Context = require("ojs/ojcontext"); - -type Props = { - testId?: string; - data: any; - questionChanged: (event: any) => void; - question: MutableRef; -}; - -type Item = { - id: number; - answer?: string; - question?: string; - loading?: string; -}; - -type ListProps = ComponentProps<"oj-list-view">; -const madp = new MutableArrayDataProvider([], { - keyAttributes: "id", -}); - -export const Simulation = ({ - testId, - data, - questionChanged, - question, -}: Props) => { - const dataProvider = useRef(madp); - const listRef = useRef>(null); - const [lastKey, setLastKey] = useState(0); - - const scrollPos: ListProps["scrollPosition"] = { key: lastKey }; - let busyContext = Context.getContext( - listRef.current as ojListView - ).getBusyContext(); - - useEffect(() => { - dataProvider.current.data = data; - console.log("lastKey before set: ", lastKey); - - // the use of BusyContext here should not be required. It's a workaround for JET-64237. - // it can be removed once the bug is fixed. - busyContext.whenReady().then(() => { - setLastKey(data.length - 1); - }); - }, [data, busyContext]); - - const chatNoDataTemplate = () => { - return ( -
      -
      - Be the first to ask a question! -
      -
      - ); - }; - - const chatItemTemplate = (item: ojListView.ItemTemplateContext) => { - return ( - <> - {item.data.answer && } - {item.data.loading && } - {item.data.question && } - - ); - }; - - return ( - <> -
      - - - - -
      - - - ); -}; diff --git a/app/src/components/content/stomp-interface.tsx b/app/src/components/content/stomp-interface.tsx deleted file mode 100644 index ca4d3498..00000000 --- a/app/src/components/content/stomp-interface.tsx +++ /dev/null @@ -1,144 +0,0 @@ -import "preact"; -import { Client } from "stompjs"; - -// setup the Stompjs connection -export const InitStomp = ( - setBusy: any, - setUpdate: any, - messagesDP: any, - chatData: any, - serviceType: any -) => { - const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; - const hostname = - window.location.hostname === "localhost" - ? "localhost:8080" - : window.location.hostname; - const serviceURL = `${protocol}${hostname}/websocket`; - let snippets: Array = []; - let codesnipIdx = 0; - - console.log("in the stomp init module"); - const client = new Client({ - brokerURL: serviceURL, - onConnect: () => { - if (serviceType === "text") { - client.subscribe("/user/queue/answer", (message: any) => { - console.log("Answer message: ", JSON.parse(message.body).content); - onMessage(message); - }); - } else if (serviceType === "summary") { - client.subscribe("/user/queue/summary", (message: any) => { - console.log("Summary message: ", JSON.parse(message.body).content); - onMessage(message); - }); - } - }, - onStompError: (e) => { - console.log("Stomp Error: ", e); - }, - onWebSocketError: () => { - console.log("Error connecting to Websocket service"); - serviceType === "text" - ? client.unsubscribe("/user/queue/answer") - : client.unsubscribe("/user/queue/summary"); - client.deactivate(); - }, - }); - client.activate(); - - const getIdxs = (searchTxt: string, data: string) => { - let idx = 0; - let tempArray = []; - while (idx !== -1) { - idx = data.indexOf(searchTxt, idx + 1); - tempArray.push(idx); - } - return tempArray; - }; - - const getCodeSnippets = (indexes: Array, data: string) => { - let i = 0; - snippets = []; - while (i < indexes.length - 1 && indexes[0] !== -1) { - let tempStr = data.substring(indexes[i], indexes[i + 1]); - let langLen = tempStr.indexOf("\n"); - let trimmed = tempStr.substring(langLen); - snippets.push(trimmed); - i += 2; - } - console.log("snippets: ", snippets); - console.log("codesnipIdx in getCodeSnippets: ", codesnipIdx); - return snippets; - }; - - const addButtons = () => { - setTimeout(() => { - const codeSections: HTMLCollectionOf = - document.getElementsByTagName("pre"); - let x = 0; - for (let i = codesnipIdx; i < Array.from(codeSections).length; i++) { - let tempStr = JSON.stringify(snippets[x]); - let btn = document.createElement("button"); - btn.setAttribute("id", "btn-" + codesnipIdx); - btn.setAttribute("onclick", "copytoclip(" + tempStr + ")"); - // btn.setAttribute("class", "copy-to-clip-btn"); - btn.innerText = "Copy"; - btn.style.cssText = `position:relative;float:right`; - codeSections[codesnipIdx]?.prepend(btn); - console.log("codesnipIdx before increment in addButton: ", codesnipIdx); - codesnipIdx++; - x++; - } - }, 750); - }; - const getClipboardOptions = (data: string) => { - const searchTxt = "```"; - const indexes = getIdxs(searchTxt, data); - const snippets = getCodeSnippets(indexes, data); - return indexes[0] != -1 ? true : false; - }; - - const onMessage = (msg: any) => { - let aiAnswer = JSON.parse(msg.body).content; - if (msg.data !== "connected") { - let tempArray = [...chatData.current]; - // remove the animation item before adding answer - setBusy(false); - tempArray.pop(); - messagesDP.current.data = []; - const snipsExist = getClipboardOptions(aiAnswer); - tempArray.push({ - id: tempArray.length as number, - answer: aiAnswer, - }); - chatData.current = tempArray; - setUpdate(chatData.current); - snipsExist ? addButtons() : null; - } - }; - return client; -}; - -export const sendPrompt = ( - client: Client | null, - prompt: string, - modelId: string, - convoId: string, - finetune: boolean -) => { - if (client?.connected) { - console.log("Sending prompt: ", prompt); - client.publish({ - destination: "/genai/prompt", - body: JSON.stringify({ - conversationId: convoId, - content: prompt, - modelId: modelId, - finetune: finetune, - }), - }); - } else { - console.log("Error, no Stomp connection"); - } -}; diff --git a/app/src/components/content/summary.tsx b/app/src/components/content/summary.tsx deleted file mode 100644 index 6e180ca4..00000000 --- a/app/src/components/content/summary.tsx +++ /dev/null @@ -1,351 +0,0 @@ -import "preact"; -import { useState, useRef, useEffect, useContext } from "preact/hooks"; -import "md-wrapper/loader"; -import "ojs/ojtoolbar"; -import "oj-c/file-picker"; -import "oj-c/message-toast"; -import "oj-c/input-text"; -import "oj-c/progress-bar"; -import "oj-c/button"; -import "ojs/ojvalidationgroup"; -import { ojValidationGroup } from "ojs/ojvalidationgroup"; -import { CFilePickerElement } from "oj-c/file-picker"; -import { CInputTextElement } from "oj-c/input-text"; -import { CButtonElement } from "oj-c/button"; -import MutableArrayDataProvider = require("ojs/ojmutablearraydataprovider"); -import { ConvoCtx } from "../app"; - -declare global { - namespace preact.JSX { - interface IntrinsicElements { - "md-wrapper": any; - } - } -} -type Props = { - fileChanged: (file: ArrayBuffer) => void; - clear: () => void; - prompt: (val: string) => void; - summaryChanged: (summary: string) => void; - summary: string; - backendType: any; -}; -const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; -const hostname = - window.location.hostname === "localhost" - ? "localhost:8080" - : window.location.hostname; -const serviceRootURL = `${protocol}${hostname}`; -const acceptArr: string[] = ["application/pdf", "*.pdf", "text/plain", "*.txt"]; -const messages: { id: number; severity: string; summary: string }[] = []; -const FILE_SIZE = 120000; - -export const Summary = ({ - fileChanged, - clear, - prompt, - summaryChanged, - summary, - backendType, -}: Props) => { - const conversationId = useContext(ConvoCtx); - const [invalidMessage, setInvalidMessage] = useState(null); - const [summaryPrompt, setSummaryPrompt] = useState(""); - const [summaryResults, setSummaryResults] = useState(summary); - const [fileNames, setFileNames] = useState(null); - const [file, setFile] = useState(null); - const [messages, setMessages] = useState([]); - const [pdfFile, setPDFFile] = useState(); - const [loading, setLoading] = useState(false); - const invalidFiles = useRef([]); - const valGroupRef = useRef(null); - const promptInputRef = useRef>(null); - - // Message toast related methods - const closeMessage = () => { - setMessages([]); - invalidFiles.current = []; - setFileNames(null); - }; - - const messagesDP = new MutableArrayDataProvider(messages, { - keyAttributes: "id", - }); - - // Prompt input related methods - const submitPrompt = (event: CInputTextElement.valueChanged) => { - let tempStr = event.detail.value - ? event.detail.value - : "Generate a summary"; - setSummaryPrompt(tempStr); - prompt(tempStr); - }; - - const sendToJavaBackend = async (file: File, prompt: string) => { - const formData = new FormData(); - formData.append("file", file); - - const res = await fetch("/api/upload", { - // const res = await fetch("http://localhost:5173/api/upload", { - method: "POST", - mode: "cors", - referrerPolicy: "strict-origin-when-cross-origin", - body: formData, - headers: { conversationID: conversationId, modelId: "" }, - }); - console.log("Response: ", res); - const responseData = await res.json(); - const { content, errorMessage } = responseData; - if (errorMessage.length) { - // setErrorMessage(errorMessage); - // setShowError(true); - } else { - console.log("Response: ", content); - setSummaryResults(content); - summaryChanged(content); - } - }; - // FilePicker related methods - const selectListener = async (event: CFilePickerElement.ojSelect) => { - setInvalidMessage(""); - const files: FileList = event.detail.files; - const filesArray: File[] = Array.from(files); - let names = filesArray.map((file: File) => { - return file?.name; - }); - - if (backendType === "java") { - setFile(files[0]); - setFileNames(names); - } else { - const fr = new FileReader(); - let ab = new ArrayBuffer(200000000); - fr.onload = (ev: ProgressEvent) => { - let ab = fr.result; - setPDFFile(ab as ArrayBuffer); - }; - fr.readAsArrayBuffer(files[0]); - setFileNames(names); - } - }; - - const buildSummaryData = (rawData: ArrayBuffer) => { - const metaJson = { - type: "summary", - msgPrompt: summaryPrompt, - }; - - // _must_ do this to encode as a ArrayBuffer / Uint8Array - // credit to Ben Wills and this article for inspiration with the below code. - // https://enomem.io/sending-and-receiving-binary-files-via-websockets/ - const enc = new TextEncoder(); // always utf-8, Uint8Array() - const buf1 = enc.encode(JSON.stringify(metaJson)); - const buf2 = enc.encode("\r\n\r\n"); - const buf3 = rawData; - - let sendData = new Uint8Array( - buf1.byteLength + buf2.byteLength + buf3.byteLength - ); - sendData.set(new Uint8Array(buf1), 0); - sendData.set(new Uint8Array(buf2), buf1.byteLength); - sendData.set(new Uint8Array(buf3), buf1.byteLength + buf2.byteLength); - - return sendData; - }; - - const invalidListener = (event: CFilePickerElement.ojInvalidSelect) => { - setFileNames([]); - const promise = event.detail.until; - - if (promise) { - promise.then(() => { - setInvalidMessage(""); - }); - } - }; - const beforeSelectListener = (event: CFilePickerElement.ojBeforeSelect) => { - const accept: (acceptPromise: Promise) => void = event.detail.accept; - const files: FileList = event.detail.files; - let file: File; - let tempArray: Array = []; - - for (let i = 0; i < files.length; i++) { - file = files[i]; - // Cohere has a character limit of ~100kb so we are restricting it here as well. - // We can use LangChain in this area to support larger files. - if (file.size > FILE_SIZE) { - tempArray.push(file.name); - invalidFiles.current = tempArray; - } - } - - if (invalidFiles.current.length === 0) { - accept(Promise.resolve()); - } else { - if (invalidFiles.current.length === 1) { - let temp: Array = []; - temp.push({ - id: 0, - severity: "Error", - summary: - "File " + - invalidFiles.current[0] + - ` is too big. The maximum size is ${FILE_SIZE / 1000}KB.`, - }); - setMessages(temp); - } else { - const fileNames = invalidFiles.current.join(", "); - let temp: Array = []; - temp.push({ - id: 0, - severity: "Error", - summary: - "These files are too big: " + - fileNames + - `. The maximum size is ${FILE_SIZE / 1000}KB.`, - }); - setMessages(temp); - } - - accept(Promise.reject(messages)); - } - }; - - useEffect(() => { - if (summaryResults !== "") setLoading(!loading); - }, [summaryResults]); - - useEffect(() => { - setSummaryResults(summary); - }, [summary]); - - useEffect(() => { - return () => { - clearSummarization(); - }; - }, []); - - const _checkValidationGroup = () => { - const tracker = valGroupRef.current as ojValidationGroup; - if (tracker.valid === "valid") { - return true; - } else { - // show messages on all the components that are invalidHiddden, i.e., the - // required fields that the user has yet to fill out. - tracker.showMessages(); - tracker.focusOn("@firstInvalidShown"); - return false; - } - }; - - // Summarize methods - const summarizeFile = (event: CButtonElement.ojAction) => { - const valid = _checkValidationGroup(); - if (valid) { - clear(); - console.log("Calling websocket API to process PDF"); - console.log("Filename: ", fileNames); - console.log("Prompt: ", summaryPrompt); - if (backendType === "python") { - fileChanged(buildSummaryData(pdfFile as ArrayBuffer)); - } else { - sendToJavaBackend(file!, summaryPrompt); - } - setLoading(true); - } - }; - const clearSummarization = () => { - promptInputRef.current?.reset(); - setFileNames(null); - clear(); - setLoading(false); - }; - - return ( - <> - - -
      -

      Document Summarization

      -
      - Upload a PDF/TXT file -
      - - - {backendType === "python" && ( - - )} - - {invalidFiles.current.length !== 1 && fileNames && ( - <> -
      - File: - {fileNames} -
      - - - - - - )} - {invalidFiles.current.length !== 1 && fileNames && loading && ( - <> -
      - Loading summary -
      - - - )} - {invalidFiles.current.length !== 1 && fileNames && summary && ( -
      - -
      - )} -
      - - ); -}; diff --git a/app/src/components/content/websocket-interface.tsx b/app/src/components/content/websocket-interface.tsx deleted file mode 100644 index 2edc5ee5..00000000 --- a/app/src/components/content/websocket-interface.tsx +++ /dev/null @@ -1,80 +0,0 @@ -import "preact"; - -const gateway = `ws://${window.location.hostname}:1986`; -let sockTimer: any = null; - -export const initWebSocket = ( - setSummaryResults: any, - setBusy: any, - setUpdate: any, - messagesDP: any, - socket: any, - chatData: any -) => { - // const [connState, setConnState] = useState("Disconnected"); - console.log("Trying to open a WebSocket connection..."); - socket.current = new WebSocket(gateway); - socket.current.binaryType = "arraybuffer"; - - // handle all messages coming from the websocket service - const onMessage = (event: any) => { - const msg = JSON.parse(event.data); - - switch (msg.msgType) { - // switch (Object.keys(msg)[0]) { - case "message": - console.log("message: ", msg.data); - return msg.data; - case "question": - console.log("question: ", msg.data); - return msg.data; - case "summary": - console.log("summary: ", msg.data); - setSummaryResults(msg.data); - return; - case "answer": - console.log("answer: ", msg.data); - if (msg.data !== "connected") { - let tempArray = [...chatData.current]; - // remove the animation item before adding answer - setBusy(false); - tempArray.pop(); - messagesDP.current.data = []; - tempArray.push({ - id: tempArray.length as number, - answer: msg.data, - }); - chatData.current = tempArray; - setUpdate(chatData.current); - } - return msg.data; - default: - return "unknown"; - } - }; - - const onOpen = () => { - clearInterval(sockTimer); - console.log("Connection opened"); - socket.current?.send( - JSON.stringify({ msgType: "message", data: "connected" }) - ); - //setConnState("Connected"); - }; - - // if the connection is lost, wait one minute and try again. - const onError = () => { - //sockTimer = setInterval(initWebSocket, 1000 * 60); - }; - function onClose() { - console.log("Connection closed"); - //setConnState("Disconnected"); - socket.current ? (socket.current.onclose = () => {}) : null; - socket.current?.close(); - } - - socket.current.onopen = onOpen; - socket.current.onerror = onError; - socket.current.onclose = onClose; - socket.current.onmessage = onMessage; -}; diff --git a/app/src/components/header.tsx b/app/src/components/header.tsx deleted file mode 100644 index 49b58d5d..00000000 --- a/app/src/components/header.tsx +++ /dev/null @@ -1,49 +0,0 @@ -import "preact"; -import { useRef, useState, useEffect } from "preact/hooks"; -import * as ResponsiveUtils from "ojs/ojresponsiveutils"; -import "ojs/ojbutton"; - -type Props = Readonly<{ - appName: string; -}>; - -export const Header = (props: Props) => { - const mediaQueryRef = useRef( - window.matchMedia(ResponsiveUtils.getFrameworkQuery("sm-only")!) - ); - - const [isSmallWidth, setIsSmallWidth] = useState( - mediaQueryRef.current.matches - ); - - useEffect(() => { - mediaQueryRef.current.addEventListener("change", handleMediaQueryChange); - return () => - mediaQueryRef.current.removeEventListener( - "change", - handleMediaQueryChange - ); - }, [mediaQueryRef]); - - const handleMediaQueryChange = (e: MediaQueryListEvent) => { - setIsSmallWidth(e.matches); - }; - - return ( - - ); -}; diff --git a/app/src/components/md-wrapper/component.json b/app/src/components/md-wrapper/component.json deleted file mode 100644 index 3f74bd8d..00000000 --- a/app/src/components/md-wrapper/component.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "name": "md-wrapper", - "version": "1.0.0", - "jetVersion": "^15.0.0", - "displayName": "Wrapper component for markdown viewer", - "dependencies": { - "oj-sample-markdown-viewer": "^9.0.0" - }, - "properties": { - "markdown": { - "type": "string" - } - } -} diff --git a/app/src/components/md-wrapper/loader.js b/app/src/components/md-wrapper/loader.js deleted file mode 100644 index c18e3a5d..00000000 --- a/app/src/components/md-wrapper/loader.js +++ /dev/null @@ -1,19 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -define([ - "ojs/ojcomposite", - "text!./md-wrapper-view.html", - "./md-wrapper-viewModel", - "text!./component.json", - "css!./md-wrapper-styles.css", -], function (Composite, view, viewModel, metadata) { - Composite.register("md-wrapper", { - view: view, - viewModel: viewModel, - metadata: JSON.parse(metadata), - }); -}); diff --git a/app/src/components/md-wrapper/md-wrapper-styles.css b/app/src/components/md-wrapper/md-wrapper-styles.css deleted file mode 100644 index a338a43e..00000000 --- a/app/src/components/md-wrapper/md-wrapper-styles.css +++ /dev/null @@ -1,22 +0,0 @@ -/* This file is where css selectors for the component go. - There will be hard coded properties and properties controlled by variables, for example - - md-wrapper .md-wrapper-value-text { - color: var(--md-wrapper-value-text-color); - display: inline-block; - } -*/ - -md-wrapper:not(.oj-complete){ - visibility: hidden; -} - -md-wrapper{ - min-height: 50px; - width: 50px; -} - -md-wrapper[hidden] -{ - display: none; -} \ No newline at end of file diff --git a/app/src/components/md-wrapper/md-wrapper-view.html b/app/src/components/md-wrapper/md-wrapper-view.html deleted file mode 100644 index 0f1b56e4..00000000 --- a/app/src/components/md-wrapper/md-wrapper-view.html +++ /dev/null @@ -1,7 +0,0 @@ - - \ No newline at end of file diff --git a/app/src/components/md-wrapper/md-wrapper-viewModel.js b/app/src/components/md-wrapper/md-wrapper-viewModel.js deleted file mode 100644 index e17418dc..00000000 --- a/app/src/components/md-wrapper/md-wrapper-viewModel.js +++ /dev/null @@ -1,21 +0,0 @@ -/** - Copyright (c) 2015, 2023, Oracle and/or its affiliates. - Licensed under The Universal Permissive License (UPL), Version 1.0 - as shown at https://oss.oracle.com/licenses/upl/ - -*/ -"use strict"; -define([ - "knockout", - "ojs/ojcontext", - "ojs/ojknockout", - "oj-sample/markdown-viewer/loader", -], function (ko, Context) { - function MdWrapper(context) { - var self = this; - self.composite = context.element; - self.properties = context.properties; - } - - return MdWrapper; -}); diff --git a/app/src/components/md-wrapper/types/loader.d.ts b/app/src/components/md-wrapper/types/loader.d.ts deleted file mode 100644 index c789ff95..00000000 --- a/app/src/components/md-wrapper/types/loader.d.ts +++ /dev/null @@ -1,9 +0,0 @@ -declare global { - namespace preact.JSX { - interface IntrinsicElements { - "md-wrapper": any; - } - } -} - -export {}; diff --git a/app/src/components/oj-ref-marked/LICENSE.txt b/app/src/components/oj-ref-marked/LICENSE.txt deleted file mode 100644 index 25bdd558..00000000 --- a/app/src/components/oj-ref-marked/LICENSE.txt +++ /dev/null @@ -1,16 +0,0 @@ -Copyright (c) 2024 Oracle and/or its affiliates. All rights reserved. -The Universal Permissive License (UPL), Version 1.0 - -Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both - -(a) the Software, and - -(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), - -without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. - -This license is subject to the following condition: - -The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/app/src/components/oj-ref-marked/README.md b/app/src/components/oj-ref-marked/README.md deleted file mode 100644 index d2ac4f07..00000000 --- a/app/src/components/oj-ref-marked/README.md +++ /dev/null @@ -1,5 +0,0 @@ -# Marked Reference Component - -This component provides reference information for the Marked library which is used to render Markdown (md) documents in HTML - -For more information and documentation see [Marked on GITHub](https://github.com/markedjs/marked) \ No newline at end of file diff --git a/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt b/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt deleted file mode 100644 index 8272c0e4..00000000 --- a/app/src/components/oj-ref-marked/THIRD_PARTY_LICENSE.txt +++ /dev/null @@ -1,38 +0,0 @@ -# License information - -## Marked - -Copyright (c) 2018+, MarkedJS (https://github.com/markedjs/) -Copyright (c) 2011-2018, Christopher Jeffrey (https://github.com/chjj/) - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in -all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -THE SOFTWARE. - -## Markdown - -Copyright © 2004, John Gruber -http://daringfireball.net/ -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. -* Neither the name “Markdown” nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. - -This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. diff --git a/app/src/components/oj-ref-marked/component.json b/app/src/components/oj-ref-marked/component.json deleted file mode 100644 index c9d10ca6..00000000 --- a/app/src/components/oj-ref-marked/component.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "name": "oj-ref-marked", - "displayName": "Marked reference component", - "description": "Reference component for the marked library used for viewing documents in Markdown format ", - "type": "reference", - "package": "marked", - "version": "4.3.0", - "license": "https://opensource.org/licenses/MIT", - "paths": { - "npm": { - "min": "marked.min", - "debug": "marked.min" - }, - "cdn": { - "min": "https://static.oracle.com/cdn/jet/packs/3rdparty/marked/4.3.0/marked.min", - "debug": "https://static.oracle.com/cdn/jet/packs/3rdparty/marked/4.3.0/marked.min" - } - }, - "extension": { - "oracle": { - "businessApprovals": { - "marked": "142506" - } - }, - "catalog": { - "category": "Reference", - "coverImage": "marked.svg" - } - } -} \ No newline at end of file diff --git a/app/src/components/oj-ref-marked/marked.svg b/app/src/components/oj-ref-marked/marked.svg deleted file mode 100644 index adbc248f..00000000 --- a/app/src/components/oj-ref-marked/marked.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/app/src/components/oj-sample/CHANGELOG.md b/app/src/components/oj-sample/CHANGELOG.md deleted file mode 100644 index 89930c9e..00000000 --- a/app/src/components/oj-sample/CHANGELOG.md +++ /dev/null @@ -1,172 +0,0 @@ -# Change Log for oj-sample JET pack - -## Version 9.0.0 - -* Upgrade to JET 15 base -* Terminal release of the sample component set - no further updates will be issued - -## Version 8.0.0 - -* Upgrade to JET 14 base -* Deprecation of oj-sample-calendar, oj-sample-calendar-provider and oj-sample-calendar-event in favor of the supported component oj-sp-calendar -* Deprecation of oj-sample-organization-tree & oj-sample-organization-tree-item -* Removal of the deprecated oj-sample-pull-to-refresh which was replaced by oj-refresher in JET 5.1.0 - -## Version 7.0.0 - -* Upgrade to JET 13 base -* Deprecation of oj-sample-drawer -* The contextMenu slot on oj-sample-checkbox-switch is now a no-op - -## Version 6.0.1 - -* Address design time issue with oj-sample-timed-event in Visual Builder - -## Version 6.0.0 - -* Upgrade to JET 12 base -* Bump in support range to ">=10.0.0 <13.0.0" - -## Version 5.0.7 - -* Documentation and descriptive metadata clean up - -## Version 5.0.6 - -* Bundling fixes - -## Version 5.0.5 - -* Bug fixes in oj-sample-export-data and associated shared code update -* Updated implementations of oj-sample-copy-text and oj-sample-visualization-exporter for better Redwood compatibility - -## Version 5.0.4 - -* Public JET 11 release - -## Version 5.0.3 - -* Internal release version - -## Version 5.0.0 - -* Migration of the implementation of oj-sample-markdown-viewer to use the Marked library rather than Showdown. -* Various README formatting corrections -* Upgrade of overall supported JET version ranges to >= 9 <12 -## Version 4.0.7 - -* Improve metadata to add implements and preferredContent throughout the pack - -## Version 4.0.6 - -* Introduce packaged audits -## Version 4.0.5 - -* Introduce optimized bundles and CDN support -## Version 4.0.0 - -* Update for JET 10 compatibility -* JET minimum version increased to > 8.0.0 -* Deprecation of oj-sample-pull-to-refresh in favor of oj-refresher -* Deprecation of oj-sample-highlight-text in favor of oj-highlight-text -## Version 3.2.4 - -* Update to downstream dependencies of calendar - -## Version 3.2.3 - -* Minification packaging changes - -## Version 3.2.2 - -* Documentation updates - -## Version 3.2.1 - -* New icons for design time representation of the components -* Update chroming options on export components to be JET 8+ compatible - -## Version 3.2.0 - -* Update across the pack for JET 9 support -* Addition of locale support to oj-sample-calendar -* Addition of keyboard selection support to oj-sample-metric -* Form embedding support for the Redwood Design system, ensuring that form components such as input-email display correctly -* Bug fix in design time of oj-sample-export-data to allow editing of selected columns through the property inspector - -## Version 3.1.4 - -* Fix up of badly formed HTML in metric, show-when-ready and organization-tree-item -* Changes to minimum sizing for oj-sample-metric - -## Version 3.1.3 - -* Bugfix for show-when-ready display of children - -## Version 3.1.1 - -* Documentation improvements for pull-to-refresh - -## Version 3.1.0 - -* oj-sample-input-url, oj-sample-input-email relocated from the oj-ext pack - -## Version 3.0.0 - -* Expansion of JET support range to include JET 8 -* Bug fixes to various components -* oj-sample-export-data, oj-sample-checkbox-switch, oj-sample-metric relocated from the oj-ext pack -* oj-sample-online-detector, oj-sample-orientation-detector and oj-sample-pull-to-refresh relocated from the oj-sample-mobile pack - -## Version 2.3.1 - -* Visual Builder property inspector improvements for oj-sample-highlight-text -* Visual Builder design time improvements for oj-sample-tooltip - -## Version 2.3.0 - -* Added new oj-sample-input-text-typeahead component for use on search-as-you-type style screens -* Fixed documentation error in highlight-text component where a hyphen was missing from one of the code samples -* Fixed problem with the property inspector for the tooltip component not showing correctly in Oracle Visual Builder - -## Version 2.2.0 - -* Addition of the new oj-sample-highlight-text component -* Minor improvements to oj-sample-country-picker and oj-sample-tooltip - -## Version 2.1.0 - -* Addition of the new oj-sample-tooltip component - -## Version 2.0.3 - -* Expansion of JET-compatibility version ranges on components -* Bug fix for show-when-ready content not being interactive if state toggles more than once -* Bug fix for calendar to ensure that it refreshes if it is associated with a Data Provider that raises a change event - -## Version 2.0.2 - -* Image updates for org tree - -## Version 2.0.1 - -* Minor metadata cleanup - -## Version 2.0.0 - -* Update to support JET 7.0.0 - -## Version 1.1.0 - -* Update baseline to JET 6.2.0 and replace use of deprecated JET APIs -* New oj-sample-organization-tree component added to the pack -* Race condition fix in show-when-ready when external state flag is toggled rapidly - - -## 1.0.1 - -* Bug fixes in oj-sample-drawer - -## 1.0.0 - -* Initial release \ No newline at end of file diff --git a/app/src/components/oj-sample/LICENSE.txt b/app/src/components/oj-sample/LICENSE.txt deleted file mode 100644 index 242443d2..00000000 --- a/app/src/components/oj-sample/LICENSE.txt +++ /dev/null @@ -1,20 +0,0 @@ -Copyright (c) 2019,2023 Oracle and/or its affiliates. All rights reserved. -The Universal Permissive License (UPL), Version 1.0 - -Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both - -(a) the Software, and - -(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), - -without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. - -This license is subject to the following condition: - -The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. - -Support Information: --------------------- -This component is an unsupported sample for demonstration purposes only. \ No newline at end of file diff --git a/app/src/components/oj-sample/README.md b/app/src/components/oj-sample/README.md deleted file mode 100644 index 95a6b216..00000000 --- a/app/src/components/oj-sample/README.md +++ /dev/null @@ -1,15 +0,0 @@ -# OJ-SAMPLE Component Set - -## Support Notice ## - -> December 2023: **This sample component set has been retired and will no longer be updated.** -> -> If you want to take a copy of this code for your own use see [Viewing the Source Code for the oj-sample Components](https://blogs.oracle.com/groundside/post/viewing-the-source-code-for-the-oj-sample-components) - ----- - -The oj-sample JET Pack defines a set of re-usable JET components for Oracle JET and Visual Builder applications to use - -## Support Information - -This component is an unsupported sample for demonstration purposes only. If you encounter any problems feel free to report them via the Oracle forums and we will do our best to address them, however, note that this will be on a best-effort basis only. \ No newline at end of file diff --git a/app/src/components/oj-sample/SUPPORT.txt b/app/src/components/oj-sample/SUPPORT.txt deleted file mode 100644 index 90f32441..00000000 --- a/app/src/components/oj-sample/SUPPORT.txt +++ /dev/null @@ -1 +0,0 @@ -This component is an unsupported sample for demonstration purposes only. \ No newline at end of file diff --git a/app/src/components/oj-sample/component.json b/app/src/components/oj-sample/component.json deleted file mode 100644 index 536bd112..00000000 --- a/app/src/components/oj-sample/component.json +++ /dev/null @@ -1,28 +0,0 @@ -{ - "name": "oj-sample", - "displayName": "oj-sample JET Pack", - "type": "pack", - "version": "9.0.0", - "jetVersion": ">=13.0.0 <17.0.0", - "description": "Consolidating JET Pack for a set of example components for use in JET and Visual Builder", - "license": "https://opensource.org/licenses/UPL", - "dependencies": { - "oj-sample-markdown-viewer": "9.0.0" - }, - "bundles": {}, - "paths": { - "cdn": { - "debug": "https://static.oracle.com/cdn/jet/packs/oj-sample/9.0.0", - "min": "https://static.oracle.com/cdn/jet/packs/oj-sample/9.0.0/min" - } - }, - "extension": { - "vbdt": { - "audits": "oj-sample-audits" - }, - "catalog": { - "category": "Sample Components", - "coverImage": "coverimage.jpg" - } - } -} diff --git a/app/src/components/oj-sample/coverimage.jpg b/app/src/components/oj-sample/coverimage.jpg deleted file mode 100644 index bfd3fb7db04e654e27f50216ef23e774902ed7bc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 20657 zcmeIZ1y~%-wl>;>J0VDLCs=R>hY1ig!QI_`aJK{kArM@G1a}SY1Pzej5FilT-GkmC z-}mM0^WU@2*=L{o-2Z>>-9@_loz<(V)~a4>>aFU@-M701;DM~9j3fX80f02@54c+d zS|vQJ%mF}74qyTR00lq>Jp|xk2n72BK*RvzFAM<2Ad=tM8pQCY4jfE}1Av_Y9M}N` zasI-1F#Iyq3PAX?ZW8QzUtm4nxBACb(aOWj*3QVq0ZPfm%E!tH0G#X``~vLU0-W5G z9NhPSix&XkKEVCe4xHu(_`fjd$$f)&i>N1-E-sD&Y;5+HM%Pzrenc-T4GnYkEIdf3_8I}3OSQ~zpQ0EX|yY}Ay$R9tL?sWs&kDa9S2W|Ux7 zZdP_`SZ%1Oxq$LB$v^ADJ_%F*X{5WmJF7bvs{_=6jf0<`pN*Z9jgylFrorOuY42j> z!D8=B^H&Sc%$!Z2R*o)K4)&DyEgBg+xVi{a!+QS1Bs<67&HjhJ|D|YZ@>|c*6>9sd zb5j#GGg~t|GkX_j*f??AyJP1lAm?CeW$yXR$i+;U`u?cd#CyLaes9K2V!7r{pD9{wJF z5z2p+e~rMuM&Mr~@UId0*9iP;1pfaw0{=$f%0J9`(XvXmI5rj|A(@)C@xVgslEF+gWz;_N7@sQBW(&A+a{+W&nzoBYLV zfiaf*wtkEMF@R$VV|p-RtO!##Hgz_!gW+n}@zul;>H+}pFJW>TcNfQdTmZv(P?&)* z+TYW zVq$4z3d3}YG``Rl{~ zlP5b{SJ-&{D%7wuh9y*58FqaP8?yo%hv&bsy|KK)Uvev$M}J{US827su!*xcY%Kq% zYijiD`Cr)8MosiDYy^d&KXt5JWbVi7S6@&E<=^ew+sfa^$1l01napo&<}9J|m)zV+ zQsyu0WvQz17k0B!m;Vbp+o=4u!OK$ow;bxK{M%-8sN`=S?VMpX|LoVq=->Ksu~fZZ zZT+&x%vtldJ*H;QB!0{7)qdON=py#JO-I{bvHnM0TdCi2XE&AKbzPvUzvb3OviGt3 zOW)B&@%Q)us(>Zn3fKdtfEfSlVbA|Q9VqX$ z0KkX_026RX9C3 z3pgh@FSwU*k#I?HS#TwAwQwD918@^?3vk!Gok>Z45B8Y1)@7*2x04F)FS%}$*IgfdPg^R_CC4*&(<&X6qs}^e%YY!V0n+{tPTOZpC zI|2J6_7L{Y1JnnPABaCNdf@lq{ey-FQx8sYaB(N9Tkjgii_02*U}>2`30Ii71IA zh-`?WiRy^vh!KdHh?R)liPMR@iFZiwNCZhtNWw{~NM=akNSR2LNxez4Ne4+!$;ip1 z$Q;R%$vVk)$O*`wl3SCQs7dEP*_pKQM6HPQQ}jIQrc1`QFc)tP?1teQ@K)Q zQhlYmqNb--qYk1jr=Fuhqv4}5r-`HaL~}q(K`Te=Lt9KcLx)PoM`uZwNY_hu{+Rx; z#^cb(b&ogb3F&3%z37YSzcXMmKp31DvKYo0kr??HZ5Y!Shne7*z)Y4*@0o^};h1@t zt(eo8N1h-);eTTPBkHN();iWbHd;1qwrI9qwp(^EyDfVT z`z*&p4q1*Mjz*3nP9{zh&i9<-T$o&vT>f13T!-Au+-BVA+~2^sU^#Fo_!IbshnEM+ zQ^vE&OUrA>o60-IhsUSL7s1!ZkH{~^@6X@N|5JcRz(t@+U|*0$&_=LGa6^b*$V@0l zXjzzA*hn~2ctM0x#8Bje$O424Vg$*8EIp-pYWg(q>AEPRsI_Q`=$;t67*woA>|9(x z+*iE)8T>P;XW`GjN<5TMlSq-6m!y`okSvxwkOE72OSMZQN#7&3pKCnRh|yTkWYhH39MB@x zveK&8M%Gr>&eJ~Ck4_-Ke|s9{)Scx|L$ zlx1{kEMuH%d|)DOl4!DR`qVVebkj`OEXHizT-ZFue8WQ6BGzKl5@MNPxnm`6m11>h zEp44)eQu**lW%ipt6^Jihhk@F*I@t9-p0Pmf!x8vVZ@QyF~o7fNx&)I=>Ym1n&%91 z)^o0R!Gn>XL01OXSFVe0B5v>9F5K1KKYHMJ*n13mGI@r1u6s#(<$5D{n|Ocnq4Ejz zS@ae4&GZBL8T)~%Yc{5ucTfThhT+3 zL#9FnLo;3@ytaD%HH<4PIqWvvG`#-}``lm#S@kO4(Xl! 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Supported versions of JET for this version are now JET 13 through 15 -* This is the terminal release of this sample component - no further updates will be issued - -## Version 8.0.0 - -* Upgrade to JET 14 base. Supported versions of JET for this version are now JET 12 through 14 -* Upgrade markdown processing library to marked 4.3.0 -* Remove the deprecated _ghost_ option for the flavor property - -## Version 7.0.0 - -* Upgrade to JET 13 base. Supported versions of JET for this version are now JET 11 through 13 - -## Version 6.0.1 - -* Provision of type definition to improve design time experience for consumers using TypeScript and virtual DOM - -## Version 6.0.0 - -* Upgrade to a JET 12 base -* Bump in support range to >=10.0.0 <13.0.0 - -## Version 5.0.2 - -* Documentation and descriptive metadata clean up - -## Version 5.0.1 - -* Code clean up - -## Version 5.0.0 - -* Update of supported JET version range to >=9.0.0 <12.0.0 -* Introduction of the new html-rendering property to provide more control over how the generated HTML markup is styled - -## Version 4.0.0 - -* Switch to the marked library (MIT licence) for markdown interpretation from Showdown -* Removal of support for ghost variant (vanilla will be used instead) - -## Version 3.0.1 - -* Design time metadata improvements - -## Version 3.0.0 - -* Update JET compatibility range to include JET 10 -* Set minimum JET support version to 8.0.0 - -## Version 2.2.2 - -* Minification packaging into distribution - -## Version 2.2.1 - -* New icon for design time - -## Version 2.2.0 - -* Expansion of JET support range to include JET 9 - -## Version 2.1.0 - -* Expansion of JET support range to include JET 8 - -## Version 2.0.1 - -* Expansion of JET support range to include version from 6.1.0 upwards - -## Version 2.0.0 - -* Update to support JET 7.0.0 - -## Version 1.1.0 - -* Update baseline to JET 6.2.0 and replace use of deprecated JET APIs - -## 1.0.0 - -* Initial release diff --git a/app/src/components/oj-sample/markdown-viewer/LICENSE.txt b/app/src/components/oj-sample/markdown-viewer/LICENSE.txt deleted file mode 100644 index baa0f9f9..00000000 --- a/app/src/components/oj-sample/markdown-viewer/LICENSE.txt +++ /dev/null @@ -1,20 +0,0 @@ -Copyright (c) 2018, 2023 Oracle and/or its affiliates. All rights reserved. -The Universal Permissive License (UPL), Version 1.0 - -Subject to the condition set forth below, permission is hereby granted to any person obtaining a copy of this software, associated documentation and/or data (collectively the "Software"), free of charge and under any and all copyright rights in the Software, and any and all patent rights owned or freely licensable by each licensor hereunder covering either (i) the unmodified Software as contributed to or provided by such licensor, or (ii) the Larger Works (as defined below), to deal in both - -(a) the Software, and - -(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if one is included with the Software (each a “Larger Work” to which the Software is contributed by such licensors), - -without restriction, including without limitation the rights to copy, create derivative works of, display, perform, and distribute the Software and make, use, sell, offer for sale, import, export, have made, and have sold the Software and the Larger Work(s), and to sublicense the foregoing rights on either these or other terms. - -This license is subject to the following condition: - -The above copyright notice and either this complete permission notice or at a minimum a reference to the UPL must be included in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. - -Support Information: --------------------- -This component is an unsupported sample for demonstration purposes only. \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/README.md b/app/src/components/oj-sample/markdown-viewer/README.md deleted file mode 100644 index 6626ce4e..00000000 --- a/app/src/components/oj-sample/markdown-viewer/README.md +++ /dev/null @@ -1,58 +0,0 @@ -# Markdown Document Viewer Component - -## Support Notice ## - -> December 2023: **This sample component has been retired and will no longer be updated.** -> -> If you want to take a copy of this code for your own use see [Viewing the Source Code for the oj-sample Components](https://blogs.oracle.com/groundside/post/viewing-the-source-code-for-the-oj-sample-components) - ----- - -The **``** provides a simple viewer which will take a string as a value and interprets markdown formatting for display. - -The component supports interpreting markdown in several variants including the [GitHub Flavor of Markdown](https://help.github.com/articles/basic-writing-and-formatting-syntax/). This is controlled via the **flavor** property. - -## Example - -A sample markdown file might look a little like this - -> \# Title -> \## Subtitle -> Normal paragraph text -> \* Bullet Point 1 -> \* Bullet Point 2 -> \* Bullet Point 3 -> And a code block -> \`\`\` JavaScript -> var self = this; -> \`\`\` - -Assuming the above file had been sucked into a JavaScript variable called markupToDisplay then the component would -simply look like this - -``` JavaScript - -``` - -And the result in the UI would be: - -> # Title -> ## Subtitle -> Normal paragraph text -> * Bullet Point 1 -> * Bullet Point 2 -> * Bullet Point 3 -> And a code block -> ``` JavaScript -> var self = this; -> ``` - -## Notes - -1. The **value** property is read-only. -2. Because markdown is a very flexible format it can be used to embed undesirable content into your page. If you are receiving the markdown string from an unknown source (such as an uploaded file) you must be careful to sanitize the HTML created by the conversion process in order to remove unwanted HTML or injected JavaScript. The output-filter function callback is provided for you to do so. This function should take a string containing the candidate HTML output and should return a promise to the sanitized version. -3. This Custom Web Component uses a 3rd party library to manage the markdown conversion process. Currently this is [Marked 4.3.0](https://github.com/markedjs/marked) - -## Support Information - -This component is an unsupported sample for demonstration purposes only. If you encounter any problems feel free to report them via the Oracle forums and we will do our best to address them, however, note that this will be on a best-effort basis only. \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt b/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt deleted file mode 100644 index 90f32441..00000000 --- a/app/src/components/oj-sample/markdown-viewer/SUPPORT.txt +++ /dev/null @@ -1 +0,0 @@ -This component is an unsupported sample for demonstration purposes only. \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt b/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt deleted file mode 100644 index 6f0ef244..00000000 --- a/app/src/components/oj-sample/markdown-viewer/THIRD_PARTY_LICENSE.txt +++ /dev/null @@ -1,36 +0,0 @@ -## Marked - -Copyright (c) 2018+, MarkedJS (https://github.com/markedjs/) -Copyright (c) 2011-2018, Christopher Jeffrey (https://github.com/chjj/) - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in -all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -THE SOFTWARE. - -## Markdown - -Copyright © 2004, John Gruber -http://daringfireball.net/ -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. -* Neither the name “Markdown” nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. - -This software is provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. diff --git a/app/src/components/oj-sample/markdown-viewer/component.json b/app/src/components/oj-sample/markdown-viewer/component.json deleted file mode 100644 index eb3b6319..00000000 --- a/app/src/components/oj-sample/markdown-viewer/component.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"markdown-viewer","pack":"oj-sample","type":"composite","implements":["SampleMarkdownViewer"],"status":[{"type":"deprecated","since":"9.0.0","description":"The sample component set has reached end of life and will not be updated"}],"displayName":"Markdown Document Viewer","description":"A component which interprets and displays strings in the GITHub version of markdown (.md) format","version":"9.0.0","license":"https://opensource.org/licenses/UPL","jetVersion":">=13.0.0 <16.0.0","dependencies":{"oj-ref-marked":"^4.3.0"},"icon":{"iconPath":"extension/images/cca-markdown-viewer.svg","selectedIconPath":"extension/images/cca-markdown-viewer.svg","hoverIconPath":"extension/images/cca-markdown-viewer.svg"},"properties":{"value":{"displayName":"Markdown","description":"String in markdown format to be converted for display (Required)","type":"string","propertyGroup":"data","extension":{"vbdt":{"placeholderValue":"Markdown content"}}},"flavor":{"displayName":"Markdown Variant","description":"Select one of the sub-dialects of markdown to support","value":"vanilla","type":"string","enumValues":["vanilla","github"],"propertyGroup":"common"},"outputFilter":{"displayName":"Output Filter Function","description":"Callback function which you can define to sanitize the HTML output generated for the viewer. This function should return a promise to the sanitized HTML string","type":"function(string):promise"},"htmlRendering":{"displayName":"HTML Rendering","description":"Provides additional control over styling such as header sizes in rendered markdown","value":"legacy","type":"string","enumValues":["legacy","inherit","redwood"],"propertyEditorValues":{"legacy":{"description":"Provides some minor override formatting for lists and pre elements"},"inherit":{"description":"Pick up all HTML styles from the application"},"redwood":{"description":"Optimized header sizing for when the application is running in the Redwood theme"}},"propertyGroup":"common"}},"extension":{"oracle":{"businessApprovals":{"marked":"142506"}},"catalog":{"category":"Sample Components","tags":["markdown"],"coverImage":"extension/images/cca-markdown-viewer.svg"}}} diff --git a/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg b/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg deleted file mode 100644 index 96b9cf7e..00000000 --- a/app/src/components/oj-sample/markdown-viewer/extension/images/cca-markdown-viewer.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - cca-markdown-viewer - Created with Sketch. - - - - - - - \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js b/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js deleted file mode 100644 index bd8e2282..00000000 --- a/app/src/components/oj-sample/markdown-viewer/extension/tests/tests.js +++ /dev/null @@ -1,41 +0,0 @@ -/* - Copyright (c) 2017, 2019, Oracle and/or its affiliates. - The Universal Permissive License (UPL), Version 1.0 - */ -/* - * QUnit Tests for Markdown Viewer - */ -'use strict'; -define(['ojs/ojcontext', 'knockout', - 'oj-sample/markdown-viewer/extension/tests/viewModels/testModel', - 'text!oj-sample/markdown-viewer/extension/tests/views/test.html' - ], - function (Context, ko, TestModel, testMarkup) { - QUnit.module('markdown-viewer:properties'); - QUnit.test('Default properties test', function (assert) { - //insert the testing DOM structure - var insertSite = document.getElementById('qunit-fixture'); - var template = document.createElement('template'); - template.innerHTML = testMarkup; - insertSite.appendChild(template.content); - var done = assert.async(); - assert.expect(1); - - require(['oj-sample/markdown-viewer/loader'], function () { - var componentDom = document.getElementById('oj-sample-markdown-viewer-tests'); - var testModel = new TestModel(); - var busyContext = Context.getContext(componentDom).getBusyContext(); - ko.applyBindings(testModel, componentDom); - - busyContext.whenReady().then(function () { - //did it instantiate? - var ccaElement = document.getElementById('demoMarkdown'); - var flavor = ccaElement.getProperty('flavor'); - - assert.ok(flavor === 'vanilla', 'Default markdown flavor is: \"vanilla\"'); - done(); - }); - }); - }); - - }); \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js b/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js deleted file mode 100644 index ce642571..00000000 --- a/app/src/components/oj-sample/markdown-viewer/extension/tests/viewModels/testModel.js +++ /dev/null @@ -1,15 +0,0 @@ -/** - * Copyright (c) 2017, 2019, Oracle and/or its affiliates. - * The Universal Permissive License (UPL), Version 1.0 - * Markdown Viewer Test Model - */ -define(['knockout'], - function (ko) { - 'use strict'; - - function markdownTestViewModel() { - - } - - return markdownTestViewModel; - }); \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html b/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html deleted file mode 100644 index 579b0c77..00000000 --- a/app/src/components/oj-sample/markdown-viewer/extension/tests/views/test.html +++ /dev/null @@ -1,10 +0,0 @@ -
      - -
      - -
      -
      \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/lib/markdownCleaner.js b/app/src/components/oj-sample/markdown-viewer/lib/markdownCleaner.js deleted file mode 100644 index 41857e49..00000000 --- a/app/src/components/oj-sample/markdown-viewer/lib/markdownCleaner.js +++ /dev/null @@ -1,20 +0,0 @@ -/** - * Copyright (c) 2018, 2023, Oracle and/or its affiliates. - * The Universal Permissive License (UPL), Version 1.0 - */ -define([], -function(){ - 'use strict'; - function MarkdownCleaner() { - } - - MarkdownCleaner.prototype.defaultCleanse = function(rawOutput){ - var scriptTag = /<[//]*script[\s]*>/gi; - return rawOutput.replace(scriptTag,'<script>'); - }; - - - return new MarkdownCleaner; -}); - - diff --git a/app/src/components/oj-sample/markdown-viewer/loader.js b/app/src/components/oj-sample/markdown-viewer/loader.js deleted file mode 100644 index 5e6fe0ee..00000000 --- a/app/src/components/oj-sample/markdown-viewer/loader.js +++ /dev/null @@ -1,13 +0,0 @@ -/** - Copyright (c) 2017, 2023, Oracle and/or its affiliates. - The Universal Permissive License (UPL), Version 1.0 -*/ -define(['ojs/ojcomposite', 'text!./markdown-viewer-view.html', './markdown-viewer-viewModel', 'text!./component.json', 'css!./markdown-viewer-styles'], - function(Composite, view, viewModel, metadata) { - Composite.register('oj-sample-markdown-viewer', { - view: view, - viewModel: viewModel, - metadata: JSON.parse(metadata) - }); - } -); \ No newline at end of file diff --git a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css b/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css deleted file mode 100644 index ceac9045..00000000 --- a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-styles.css +++ /dev/null @@ -1,83 +0,0 @@ -oj-sample-markdown-viewer:not(.oj-complete){ - visibility: hidden; -} - -oj-sample-markdown-viewer{ - display:inline; -} - -oj-sample-markdown-viewer .legacyStyling blockquote { - border-left: 5px solid #DCE3E4; - background:#fcfcfc; - margin: 10px; - padding: 10px; -} - -oj-sample-markdown-viewer .legacyStyling blockquote p { - display: inline; -} - -oj-sample-markdown-viewer .legacyStyling pre { - background:#fcfcfc; - margin: 10px; - padding: 10px; -} - -oj-sample-markdown-viewer .legacyStyling table { - border-collapse: collapse; - text-align:left; - padding-right: 0.5em; - padding-left: 0.5em; - border: 1px solid #8DA6B1; -} - -oj-sample-markdown-viewer .legacyStyling th { - text-align:left; - padding-right: 0.5em; - padding-left: 0.5em; - border: 1px solid #8DA6B1; -} - -oj-sample-markdown-viewer .legacyStyling td { - text-align:left; - padding-right: 0.5em; - padding-left: 0.5em; - border: 1px solid #8DA6B1; - vertical-align: top; -} - -oj-sample-markdown-viewer .redwoodStyling h1 { - font-size: 1.75rem; - font-weight: 700; - line-height: 1.2857; -} - -oj-sample-markdown-viewer .redwoodStyling h2 { - font-size: 1.5rem; - font-weight: 700; - line-height: 1.3333; -} - -oj-sample-markdown-viewer .redwoodStyling h3 { - font-size: 1.25rem; - font-weight: 700; - line-height: 1.4; -} - -oj-sample-markdown-viewer .redwoodStyling h4 { - font-size: 1rem; - font-weight: 700; - line-height: 1.5; -} - -oj-sample-markdown-viewer .redwoodStyling h5 { - font-size: 0.9167rem; - font-weight: 600; - line-height: 1.4; -} - -oj-sample-markdown-viewer .redwoodStyling h6 { - font-size: 0.8333rem; - font-weight: 600; - line-height: 1.4; -} diff --git a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html b/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html deleted file mode 100644 index 9beb47fc..00000000 --- a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-view.html +++ /dev/null @@ -1,10 +0,0 @@ - - -
      -       diff --git a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js b/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js deleted file mode 100644 index 9d3184c9..00000000 --- a/app/src/components/oj-sample/markdown-viewer/markdown-viewer-viewModel.js +++ /dev/null @@ -1,126 +0,0 @@ -/** - Copyright (c) 2017, 2023, Oracle and/or its affiliates. - The Universal Permissive License (UPL), Version 1.0 -*/ -define([ - "ojs/ojcontext", - "ojs/ojlogger", - "knockout", - "ojL10n!./resources/nls/markdown-viewer-strings", - "marked", - "./lib/markdownCleaner", -], function (Context, Logger, ko, componentStrings, marked, cleaner) { - "use strict"; - function MarkdownViewerComponentModel(context) { - var self = this; - self.composite = context.element; - self.res = componentStrings.ojsampleMarkdownViewer; - - self.contentSubId = context.uniqueId + "_content"; //NOTRANS - - self.inputValue = ko.observable(); - self.isContent = ko.observable(false); - - self.applyRedwoodStyling = ko.observable( - context.properties.htmlRendering.toLowerCase() === "redwood" - ); - self.applyLegacyStyling = ko.observable( - ["legacy", "redwood"].includes( - context.properties.htmlRendering.toLowerCase() - ) - ); - - self.converter = marked; - self.converter.setOptions({ gfm: context.properties.flavor === "github" }); - - self.doFilter = false; - self.loggingIdentity = - "oj-sample-markdown-viewer (" + context.uniqueId + "): "; //NOTRANS - - self.properties = context.properties; - if (self.properties.outputFilter !== undefined) { - self.doFilter = true; - } - } - - /* - * Standard bindingsApplied lifecycle callback - this is used to carry out the initial conversion by - * creating the computed value that is actually injected into the iFrame - * @param {object} context - * @ignore - */ - MarkdownViewerComponentModel.prototype.bindingsApplied = function (context) { - var self = this; - self.markdownValue = ko.computed(function () { - //Markdown processing could take some time so we set the busyContext to - //allow tests to understand this - var busyContext = Context.getContext(context.element).getBusyContext(); - var options = { description: "Processing of markdown content" }; //NOTRANS - var busyResolve = busyContext.addBusyState(options); - if (self.inputValue() !== undefined && self.inputValue().length > 0) { - //Do a basics of prepping the md and stripping out - - - - - - - - - diff --git a/app/src/index.ts b/app/src/index.ts deleted file mode 100644 index 408ad63a..00000000 --- a/app/src/index.ts +++ /dev/null @@ -1,16 +0,0 @@ -/** - * @license - * Copyright (c) 2014, 2023, Oracle and/or its affiliates. - * Licensed under The Universal Permissive License (UPL), Version 1.0 - * as shown at https://oss.oracle.com/licenses/upl/ - * @ignore - */ -import "./components/app"; - -declare global { - namespace preact.JSX { - interface IntrinsicElements { - "md-wrapper": any; - } - } -} diff --git a/app/src/libs/marked/marked.min.js b/app/src/libs/marked/marked.min.js deleted file mode 100644 index 9402998a..00000000 --- a/app/src/libs/marked/marked.min.js +++ /dev/null @@ -1,6 +0,0 @@ -/** - * marked v4.3.0 - a markdown parser - * Copyright (c) 2011-2023, Christopher Jeffrey. 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76b073dc..00000000 --- a/app/tsconfig.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "compileOnSave": true, - "compilerOptions": { - "baseUrl": ".", - "target": "es6", - "strict": true, - "module": "amd", - "moduleResolution": "node", - "jsx": "react-jsx", - "jsxImportSource": "preact", - "lib": ["es2021", "dom", "esnext.asynciterable"], - "typeRoots": [ - "./node_modules/@oracle/oraclejet/dist/types", - "./node_modules/@types" - ], - "paths": { - "ojs/*": ["./node_modules/@oracle/oraclejet/dist/types/*"], - "@oracle/oraclejet-preact/*": [ - "./node_modules/@oracle/oraclejet-preact/*" - ], - "oj-c/*": ["./node_modules/@oracle/oraclejet-core-pack/oj-c/types/*"], - "preact": ["./node_modules/preact"], - "marked/*": ["./node_modules/marked/*"], - "oj-sample/*": ["./src/components/oj-sample/types/*"], - "md-wrapper": ["./src/components/md-wrapper/types/index"], - "stompjs": ["./node_modules/@stomp/stompjs/index"] - }, - "declaration": true, - "noEmitOnError": true, - "experimentalDecorators": true, - "skipLibCheck": true, - "removeComments": true - }, - "include": ["./src/**/*"] -} diff --git a/architecture.drawio b/architecture.drawio deleted file mode 100644 index 2adbfe68..00000000 --- a/architecture.drawio +++ /dev/null @@ -1,889 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/backend/.dockerignore b/backend/.dockerignore deleted file mode 100644 index e69de29b..00000000 diff --git a/backend/Dockerfile b/backend/Dockerfile deleted file mode 100644 index 80ce81c9..00000000 --- a/backend/Dockerfile +++ /dev/null @@ -1,15 +0,0 @@ -FROM --platform=linux/amd64 container-registry.oracle.com/java/jdk-no-fee-term:21-oraclelinux8 as build - -RUN mkdir /opt/src -COPY . /opt/src -WORKDIR /opt/src -RUN ./gradlew clean bootJar - -FROM --platform=linux/amd64 container-registry.oracle.com/java/jdk-no-fee-term:21-oraclelinux8 - -VOLUME /tmp -COPY --from=build /opt/src/build/libs/*.jar /tmp/ -RUN mkdir /app -RUN mv /tmp/backend*.jar /app/backend.jar - -ENTRYPOINT ["java","-jar","/app/backend.jar"] \ No newline at end of file diff --git a/backend/build.gradle b/backend/build.gradle deleted file mode 100644 index 49b6af1b..00000000 --- a/backend/build.gradle +++ /dev/null @@ -1,40 +0,0 @@ -plugins { - id 'java' - id 'org.springframework.boot' version '3.2.2' - id 'io.spring.dependency-management' version '1.1.4' -} - -group = 'dev.victormartin.oci.genai.backend' -version = '0.0.6' - -java { - sourceCompatibility = '17' -} - -repositories { - mavenCentral() -} - -dependencies { - implementation 'org.springframework.boot:spring-boot-starter-data-jpa' - implementation 'org.springframework.boot:spring-boot-starter-data-rest' - implementation 'org.springframework.boot:spring-boot-starter-websocket' - implementation 'org.springframework.boot:spring-boot-starter-actuator' - implementation 'org.netbeans.external:org-apache-commons-io:RELEASE113' - implementation 'com.oracle.oci.sdk:oci-java-sdk-shaded-full:3.52.1' - implementation 'com.oracle.oci.sdk:oci-java-sdk-core:3.52.1' - implementation 'com.oracle.oci.sdk:oci-java-sdk-common:3.52.1' - implementation 'com.oracle.oci.sdk:oci-java-sdk-addons-oke-workload-identity:3.52.1' - implementation 'com.oracle.oci.sdk:oci-java-sdk-generativeai:3.52.1' - implementation 'com.oracle.database.jdbc:ojdbc11-production:21.8.0.0' - implementation 'com.oracle.database.jdbc:ucp:21.8.0.0' - implementation 'com.oracle.database.security:oraclepki:21.8.0.0' - implementation 'com.oracle.database.security:osdt_cert:21.8.0.0' - implementation 'com.oracle.database.security:osdt_core:21.8.0.0' - implementation 'org.apache.pdfbox:pdfbox:3.0.3' exclude(group: 'commons-logging', module: 'commons-logging') - testImplementation 'org.springframework.boot:spring-boot-starter-test' -} - -tasks.named('test') { - useJUnitPlatform() -} diff --git a/backend/gradle/wrapper/gradle-wrapper.jar b/backend/gradle/wrapper/gradle-wrapper.jar deleted file mode 100644 index d64cd4917707c1f8861d8cb53dd15194d4248596..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 43462 zcma&NWl&^owk(X(xVyW%ySuwf;qI=D6|RlDJ2cR^yEKh!@I- zp9QeisK*rlxC>+~7Dk4IxIRsKBHqdR9b3+fyL=ynHmIDe&|>O*VlvO+%z5;9Z$|DJ zb4dO}-R=MKr^6EKJiOrJdLnCJn>np?~vU-1sSFgPu;pthGwf}bG 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file mode 100644 index 1af9e093..00000000 --- a/backend/gradle/wrapper/gradle-wrapper.properties +++ /dev/null @@ -1,7 +0,0 @@ -distributionBase=GRADLE_USER_HOME -distributionPath=wrapper/dists -distributionUrl=https\://services.gradle.org/distributions/gradle-8.5-bin.zip -networkTimeout=10000 -validateDistributionUrl=true -zipStoreBase=GRADLE_USER_HOME -zipStorePath=wrapper/dists diff --git a/backend/gradlew b/backend/gradlew deleted file mode 100755 index 1aa94a42..00000000 --- a/backend/gradlew +++ /dev/null @@ -1,249 +0,0 @@ -#!/bin/sh - -# -# Copyright © 2015-2021 the original authors. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -############################################################################## -# -# Gradle start up script for POSIX generated by Gradle. -# -# Important for running: -# -# (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is -# noncompliant, but you have some other compliant shell such as ksh or -# bash, then to run this script, type that shell name before the whole -# command line, like: -# -# ksh Gradle -# -# Busybox and similar reduced shells will NOT work, because this script -# requires all of these POSIX shell features: -# * functions; -# * expansions «$var», «${var}», «${var:-default}», «${var+SET}», -# «${var#prefix}», «${var%suffix}», and «$( cmd )»; -# * compound commands having a testable exit status, especially «case»; -# * various built-in commands including «command», «set», and «ulimit». -# -# Important for patching: -# -# (2) This script targets any POSIX shell, so it avoids extensions provided -# by Bash, Ksh, etc; in particular arrays are avoided. -# -# The "traditional" practice of packing multiple parameters into a -# space-separated string is a well documented source of bugs and security -# problems, so this is (mostly) avoided, by progressively accumulating -# options in "$@", and eventually passing that to Java. -# -# Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS, -# and GRADLE_OPTS) rely on word-splitting, this is performed explicitly; -# see the in-line comments for details. -# -# There are tweaks for specific operating systems such as AIX, CygWin, -# Darwin, MinGW, and NonStop. -# -# (3) This script is generated from the Groovy template -# https://github.com/gradle/gradle/blob/HEAD/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt -# within the Gradle project. -# -# You can find Gradle at https://github.com/gradle/gradle/. -# -############################################################################## - -# Attempt to set APP_HOME - -# Resolve links: $0 may be a link -app_path=$0 - -# Need this for daisy-chained symlinks. -while - APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path - [ -h "$app_path" ] -do - ls=$( ls -ld "$app_path" ) - link=${ls#*' -> '} - case $link in #( - /*) app_path=$link ;; #( - *) app_path=$APP_HOME$link ;; - esac -done - -# This is normally unused -# shellcheck disable=SC2034 -APP_BASE_NAME=${0##*/} -# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036) -APP_HOME=$( cd "${APP_HOME:-./}" > /dev/null && pwd -P ) || exit - -# Use the maximum available, or set MAX_FD != -1 to use that value. -MAX_FD=maximum - -warn () { - echo "$*" -} >&2 - -die () { - echo - echo "$*" - echo - exit 1 -} >&2 - -# OS specific support (must be 'true' or 'false'). -cygwin=false -msys=false -darwin=false -nonstop=false -case "$( uname )" in #( - CYGWIN* ) cygwin=true ;; #( - Darwin* ) darwin=true ;; #( - MSYS* | MINGW* ) msys=true ;; #( - NONSTOP* ) nonstop=true ;; -esac - -CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar - - -# Determine the Java command to use to start the JVM. -if [ -n "$JAVA_HOME" ] ; then - if [ -x "$JAVA_HOME/jre/sh/java" ] ; then - # IBM's JDK on AIX uses strange locations for the executables - JAVACMD=$JAVA_HOME/jre/sh/java - else - JAVACMD=$JAVA_HOME/bin/java - fi - if [ ! -x "$JAVACMD" ] ; then - die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME - -Please set the JAVA_HOME variable in your environment to match the -location of your Java installation." - fi -else - JAVACMD=java - if ! command -v java >/dev/null 2>&1 - then - die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. - -Please set the JAVA_HOME variable in your environment to match the -location of your Java installation." - fi -fi - -# Increase the maximum file descriptors if we can. -if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then - case $MAX_FD in #( - max*) - # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked. - # shellcheck disable=SC2039,SC3045 - MAX_FD=$( ulimit -H -n ) || - warn "Could not query maximum file descriptor limit" - esac - case $MAX_FD in #( - '' | soft) :;; #( - *) - # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked. - # shellcheck disable=SC2039,SC3045 - ulimit -n "$MAX_FD" || - warn "Could not set maximum file descriptor limit to $MAX_FD" - esac -fi - -# Collect all arguments for the java command, stacking in reverse order: -# * args from the command line -# * the main class name -# * -classpath -# * -D...appname settings -# * --module-path (only if needed) -# * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables. - -# For Cygwin or MSYS, switch paths to Windows format before running java -if "$cygwin" || "$msys" ; then - APP_HOME=$( cygpath --path --mixed "$APP_HOME" ) - CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" ) - - JAVACMD=$( cygpath --unix "$JAVACMD" ) - - # Now convert the arguments - kludge to limit ourselves to /bin/sh - for arg do - if - case $arg in #( - -*) false ;; # don't mess with options #( - /?*) t=${arg#/} t=/${t%%/*} # looks like a POSIX filepath - [ -e "$t" ] ;; #( - *) false ;; - esac - then - arg=$( cygpath --path --ignore --mixed "$arg" ) - fi - # Roll the args list around exactly as many times as the number of - # args, so each arg winds up back in the position where it started, but - # possibly modified. - # - # NB: a `for` loop captures its iteration list before it begins, so - # changing the positional parameters here affects neither the number of - # iterations, nor the values presented in `arg`. - shift # remove old arg - set -- "$@" "$arg" # push replacement arg - done -fi - - -# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. -DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"' - -# Collect all arguments for the java command: -# * DEFAULT_JVM_OPTS, JAVA_OPTS, JAVA_OPTS, and optsEnvironmentVar are not allowed to contain shell fragments, -# and any embedded shellness will be escaped. -# * For example: A user cannot expect ${Hostname} to be expanded, as it is an environment variable and will be -# treated as '${Hostname}' itself on the command line. - -set -- \ - "-Dorg.gradle.appname=$APP_BASE_NAME" \ - -classpath "$CLASSPATH" \ - org.gradle.wrapper.GradleWrapperMain \ - "$@" - -# Stop when "xargs" is not available. -if ! command -v xargs >/dev/null 2>&1 -then - die "xargs is not available" -fi - -# Use "xargs" to parse quoted args. -# -# With -n1 it outputs one arg per line, with the quotes and backslashes removed. -# -# In Bash we could simply go: -# -# readarray ARGS < <( xargs -n1 <<<"$var" ) && -# set -- "${ARGS[@]}" "$@" -# -# but POSIX shell has neither arrays nor command substitution, so instead we -# post-process each arg (as a line of input to sed) to backslash-escape any -# character that might be a shell metacharacter, then use eval to reverse -# that process (while maintaining the separation between arguments), and wrap -# the whole thing up as a single "set" statement. -# -# This will of course break if any of these variables contains a newline or -# an unmatched quote. -# - -eval "set -- $( - printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" | - xargs -n1 | - sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' | - tr '\n' ' ' - )" '"$@"' - -exec "$JAVACMD" "$@" diff --git a/backend/gradlew.bat b/backend/gradlew.bat deleted file mode 100644 index 6689b85b..00000000 --- a/backend/gradlew.bat +++ /dev/null @@ -1,92 +0,0 @@ -@rem -@rem Copyright 2015 the original author or authors. -@rem -@rem Licensed under the Apache License, Version 2.0 (the "License"); -@rem you may not use this file except in compliance with the License. -@rem You may obtain a copy of the License at -@rem -@rem https://www.apache.org/licenses/LICENSE-2.0 -@rem -@rem Unless required by applicable law or agreed to in writing, software -@rem distributed under the License is distributed on an "AS IS" BASIS, -@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -@rem See the License for the specific language governing permissions and -@rem limitations under the License. -@rem - -@if "%DEBUG%"=="" @echo off -@rem ########################################################################## -@rem -@rem Gradle startup script for Windows -@rem -@rem ########################################################################## - -@rem Set local scope for the variables with windows NT shell -if "%OS%"=="Windows_NT" setlocal - -set DIRNAME=%~dp0 -if "%DIRNAME%"=="" set DIRNAME=. -@rem This is normally unused -set APP_BASE_NAME=%~n0 -set APP_HOME=%DIRNAME% - -@rem Resolve any "." and ".." in APP_HOME to make it shorter. -for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi - -@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. -set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m" - -@rem Find java.exe -if defined JAVA_HOME goto findJavaFromJavaHome - -set JAVA_EXE=java.exe -%JAVA_EXE% -version >NUL 2>&1 -if %ERRORLEVEL% equ 0 goto execute - -echo. -echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. -echo. -echo Please set the JAVA_HOME variable in your environment to match the -echo location of your Java installation. - -goto fail - -:findJavaFromJavaHome -set JAVA_HOME=%JAVA_HOME:"=% -set JAVA_EXE=%JAVA_HOME%/bin/java.exe - -if exist "%JAVA_EXE%" goto execute - -echo. -echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% -echo. -echo Please set the JAVA_HOME variable in your environment to match the -echo location of your Java installation. - -goto fail - -:execute -@rem Setup the command line - -set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar - - -@rem Execute Gradle -"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %* - -:end -@rem End local scope for the variables with windows NT shell -if %ERRORLEVEL% equ 0 goto mainEnd - -:fail -rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of -rem the _cmd.exe /c_ return code! -set EXIT_CODE=%ERRORLEVEL% -if %EXIT_CODE% equ 0 set EXIT_CODE=1 -if not ""=="%GRADLE_EXIT_CONSOLE%" exit %EXIT_CODE% -exit /b %EXIT_CODE% - -:mainEnd -if "%OS%"=="Windows_NT" endlocal - -:omega diff --git a/backend/settings.gradle b/backend/settings.gradle deleted file mode 100644 index 0f5036dc..00000000 --- a/backend/settings.gradle +++ /dev/null @@ -1 +0,0 @@ -rootProject.name = 'backend' diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java deleted file mode 100644 index cd8bddc8..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/BackendApplication.java +++ /dev/null @@ -1,13 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend; - -import org.springframework.boot.SpringApplication; -import org.springframework.boot.autoconfigure.SpringBootApplication; - -@SpringBootApplication -public class BackendApplication { - - public static void main(String[] args) { - SpringApplication.run(BackendApplication.class, args); - } - -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java deleted file mode 100644 index 11119758..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/InvalidPromptRequest.java +++ /dev/null @@ -1,10 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend; - -import org.springframework.http.HttpStatus; -import org.springframework.web.bind.annotation.ResponseStatus; - -@ResponseStatus(code = HttpStatus.BAD_REQUEST, reason = "Invalid request params") -public class InvalidPromptRequest extends RuntimeException { - - -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java deleted file mode 100644 index b4a0e6d4..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/config/WebSocketConfig.java +++ /dev/null @@ -1,25 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.config; - -import org.springframework.context.annotation.Configuration; -import org.springframework.messaging.simp.config.MessageBrokerRegistry; -import org.springframework.web.socket.config.annotation.EnableWebSocketMessageBroker; -import org.springframework.web.socket.config.annotation.StompEndpointRegistry; -import org.springframework.web.socket.config.annotation.WebSocketMessageBrokerConfigurer; - -@Configuration -@EnableWebSocketMessageBroker -public class WebSocketConfig implements WebSocketMessageBrokerConfigurer { - - @Override - public void configureMessageBroker(MessageBrokerRegistry config) { - config.enableSimpleBroker("/queue"); - config.setApplicationDestinationPrefixes("/genai"); - config.setUserDestinationPrefix("/user"); - } - - @Override - public void registerStompEndpoints(StompEndpointRegistry registry) { - registry.addEndpoint("/websocket").setAllowedOrigins("*"); - } - -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java deleted file mode 100644 index 5a3f69f8..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/GenAIController.java +++ /dev/null @@ -1,58 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.controller; - -import com.oracle.bmc.generativeai.GenerativeAiClient; -import com.oracle.bmc.generativeai.model.ModelCapability; -import com.oracle.bmc.generativeai.requests.ListModelsRequest; -import com.oracle.bmc.generativeai.requests.ListEndpointsRequest; -import com.oracle.bmc.generativeai.responses.ListModelsResponse; -import com.oracle.bmc.generativeai.responses.ListEndpointsResponse; -import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; -import dev.victormartin.oci.genai.backend.backend.dao.GenAiEndpoint; -import dev.victormartin.oci.genai.backend.backend.service.GenAIModelsService; -import dev.victormartin.oci.genai.backend.backend.service.GenAiClientService; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.web.bind.annotation.GetMapping; -import org.springframework.web.bind.annotation.RestController; - -import java.util.List; -import java.util.stream.Collectors; - -@RestController -public class GenAIController { - Logger logger = LoggerFactory.getLogger(GenAIController.class); - - @Value("${genai.compartment_id}") - private String COMPARTMENT_ID; - - @Autowired - private GenAiClientService generativeAiClientService; - - @Autowired - private GenAIModelsService genAIModelsService; - - @GetMapping("/api/genai/models") - public List getModels() { - logger.info("getModels()"); - List models = genAIModelsService.getModels(); - return models.stream() - .filter(m -> m.capabilities().contains("CHAT")) - .collect(Collectors.toList()); - } - - @GetMapping("/api/genai/endpoints") - public List getEndpoints() { - logger.info("getEndpoints()"); - ListEndpointsRequest listEndpointsRequest = ListEndpointsRequest.builder().compartmentId(COMPARTMENT_ID) - .build(); - GenerativeAiClient client = generativeAiClientService.getClient(); - ListEndpointsResponse response = client.listEndpoints(listEndpointsRequest); - return response.getEndpointCollection().getItems().stream().map(e -> { - GenAiEndpoint endpoint = new GenAiEndpoint(e.getId(), e.getDisplayName(), e.getLifecycleState(), - e.getModelId(), e.getTimeCreated()); - return endpoint; - }).collect(Collectors.toList()); - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java deleted file mode 100644 index 4e54a0e2..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PDFConvertorController.java +++ /dev/null @@ -1,111 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.controller; - - -import com.oracle.bmc.model.BmcException; -import dev.victormartin.oci.genai.backend.backend.dao.Answer; -import dev.victormartin.oci.genai.backend.backend.data.Interaction; -import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; -import dev.victormartin.oci.genai.backend.backend.data.InteractionType; -import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; -import dev.victormartin.oci.genai.backend.backend.service.PDFConvertorService; -import org.apache.commons.io.FileUtils; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.util.StringUtils; -import org.springframework.web.bind.annotation.PostMapping; -import org.springframework.web.bind.annotation.RequestHeader; -import org.springframework.web.bind.annotation.RequestParam; -import org.springframework.web.bind.annotation.RestController; -import org.springframework.web.multipart.MaxUploadSizeExceededException; -import org.springframework.web.multipart.MultipartFile; -import org.springframework.web.util.HtmlUtils; - -import java.io.File; -import java.nio.charset.Charset; -import java.nio.charset.StandardCharsets; -import java.util.Date; - -@RestController -public class PDFConvertorController { - Logger log = LoggerFactory.getLogger(PDFConvertorController.class); - - @Value("${storage.path}") - String storagePath; - - @Value("${genai.summarization_model_id}") - String summarizationModelId; - - @Autowired - OCIGenAIService ociGenAIService; - - @Autowired - PDFConvertorService pdfConvertorService; - - @Autowired - private InteractionRepository interactionRepository; - - @PostMapping("/api/upload") - public Answer fileUploading(@RequestParam("file") MultipartFile multipartFile, - @RequestHeader("conversationID") String conversationId, - @RequestHeader("modelId") String modelId) { - String filename = StringUtils.cleanPath(multipartFile.getOriginalFilename()); - log.info("File uploaded {} {} bytes ({})", filename, multipartFile.getSize(), multipartFile.getContentType()); - String contentType = multipartFile.getContentType();// application/pdf - try { - if (filename.contains("..")) { - throw new Exception("Filename contains invalid path sequence"); - } - if (multipartFile.getBytes().length > (1024 * 1024)) { - throw new Exception("File size exceeds maximum limit"); - } - String fileDestinationPath = StringUtils.cleanPath(storagePath); - File file = new File(fileDestinationPath + File.separator + filename); - multipartFile.transferTo(file); - log.info("File destination path: {}", file.getAbsolutePath()); - String convertedText; - switch (contentType) { - case "text/plain": - convertedText = FileUtils.readFileToString(file, StandardCharsets.UTF_8); - break; - case "application/pdf": - convertedText = pdfConvertorService.convert(file.getAbsolutePath()); - break; - default: - convertedText= ""; - break; - } - String textEscaped = HtmlUtils.htmlEscape(convertedText); - Interaction interaction = new Interaction(); - interaction.setType(InteractionType.SUMMARY_FILE); - interaction.setConversationId(conversationId); - interaction.setDatetimeRequest(new Date()); - interaction.setModelId(summarizationModelId); - interaction.setRequest(textEscaped); - Interaction saved = interactionRepository.save(interaction); - String summaryText = ociGenAIService.summaryText(textEscaped, summarizationModelId, false); - saved.setDatetimeResponse(new Date()); - saved.setResponse(summaryText); - interactionRepository.save(saved); - log.info("Summary text: {}(...)", summaryText.substring(0, 40)); - Answer answer = new Answer(summaryText, ""); - return answer; - } catch (MaxUploadSizeExceededException maxUploadSizeExceededException) { - log.error(maxUploadSizeExceededException.getMessage()); - throw new RuntimeException(maxUploadSizeExceededException); - } catch (BmcException exception) { - log.error("Unmodified Message: {}", exception.getUnmodifiedMessage()); - String unmodifiedMessage = exception.getUnmodifiedMessage(); - int statusCode = exception.getStatusCode(); - String errorMessage = statusCode + " " + unmodifiedMessage; - log.error(errorMessage); - Answer answer = new Answer("", errorMessage); - return answer; - } catch (Exception e) { - log.error(e.getMessage()); - Answer answer = new Answer("", e.getMessage()); - return answer; - } - } -} \ No newline at end of file diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java deleted file mode 100644 index 1adb7080..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/PromptController.java +++ /dev/null @@ -1,92 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.controller; - -import java.util.Date; - -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.http.HttpStatus; -import org.springframework.messaging.handler.annotation.MessageMapping; -import org.springframework.messaging.simp.annotation.SendToUser; -import org.springframework.stereotype.Controller; -import org.springframework.web.util.HtmlUtils; - -import com.oracle.bmc.model.BmcException; - -import dev.victormartin.oci.genai.backend.backend.InvalidPromptRequest; -import dev.victormartin.oci.genai.backend.backend.dao.Answer; -import dev.victormartin.oci.genai.backend.backend.dao.Prompt; -import dev.victormartin.oci.genai.backend.backend.data.Interaction; -import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; -import dev.victormartin.oci.genai.backend.backend.data.InteractionType; -import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; - -@Controller -public class PromptController { - - Logger logger = LoggerFactory.getLogger(PromptController.class); - - @Value("${genai.chat_model_id}") - private String hardcodedChatModelId; - - @Autowired - private final InteractionRepository interactionRepository; - - @Autowired - OCIGenAIService genAI; - - public PromptController(InteractionRepository interactionRepository, OCIGenAIService genAI) { - this.interactionRepository = interactionRepository; - this.genAI = genAI; - } - - @MessageMapping("/prompt") - @SendToUser("/queue/answer") - public Answer handlePrompt(Prompt prompt) { - String promptEscaped = HtmlUtils.htmlEscape(prompt.content()); - boolean finetune = prompt.finetune(); - String activeModel = (prompt.modelId() == null) ? hardcodedChatModelId : prompt.modelId(); - logger.info("Prompt " + promptEscaped + " received, on model " + activeModel); - - Interaction interaction = new Interaction(); - interaction.setType(InteractionType.CHAT); - interaction.setConversationId(prompt.conversationId()); - interaction.setDatetimeRequest(new Date()); - interaction.setModelId(activeModel); - interaction.setRequest(promptEscaped); - Interaction saved = interactionRepository.save(interaction); - try { - if (prompt.content().isEmpty()) { - throw new InvalidPromptRequest(); - } - saved.setDatetimeResponse(new Date()); - String responseFromGenAI = genAI.resolvePrompt(promptEscaped, activeModel, finetune, false); - saved.setResponse(responseFromGenAI); - interactionRepository.save(saved); - return new Answer(responseFromGenAI, ""); - - } catch (BmcException exception) { - logger.error("Message: {}", exception.getMessage()); - logger.error("Original Message: {}", exception.getOriginalMessage()); - logger.error("Unmodified Message: {}", exception.getUnmodifiedMessage()); - logger.error("Service Details: {}", exception.getServiceDetails()); - logger.error("Status Code: {}", exception.getStatusCode()); - String unmodifiedMessage = exception.getUnmodifiedMessage(); - int statusCode = exception.getStatusCode(); - String errorMessage = statusCode + " " + unmodifiedMessage; - logger.error(errorMessage); - saved.setErrorMessage(errorMessage); - interactionRepository.save(saved); - return new Answer("", errorMessage); - } catch (InvalidPromptRequest exception) { - int statusCode = HttpStatus.BAD_REQUEST.value(); - String errorMessage = statusCode + " Invalid Prompt "; - logger.error(errorMessage); - saved.setErrorMessage(errorMessage); - interactionRepository.save(saved); - return new Answer("", errorMessage); - } - } - -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java deleted file mode 100644 index 3b0119bc..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/controller/SummaryController.java +++ /dev/null @@ -1,77 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.controller; - -import com.oracle.bmc.model.BmcException; -import dev.victormartin.oci.genai.backend.backend.dao.Answer; -import dev.victormartin.oci.genai.backend.backend.dao.SummaryRequest; -import dev.victormartin.oci.genai.backend.backend.data.Interaction; -import dev.victormartin.oci.genai.backend.backend.data.InteractionRepository; -import dev.victormartin.oci.genai.backend.backend.data.InteractionType; -import dev.victormartin.oci.genai.backend.backend.service.OCIGenAIService; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.web.bind.annotation.PostMapping; -import org.springframework.web.bind.annotation.RequestBody; -import org.springframework.web.bind.annotation.RequestHeader; -import org.springframework.web.bind.annotation.RestController; -import org.springframework.web.util.HtmlUtils; - -import java.util.Date; - -@RestController -public class SummaryController { - Logger logger = LoggerFactory.getLogger(SummaryController.class); - - @Value("${genai.summarization_model_id}") - String summarizationModelId; - - @Autowired - OCIGenAIService ociGenAIService; - - @Autowired - private InteractionRepository interactionRepository; - - @PostMapping("/api/genai/summary") - public Answer postSummaryText(@RequestBody SummaryRequest summaryRequest, - @RequestHeader("conversationID") String conversationId, - @RequestHeader("modelId") String modelId) { - logger.info("postSummaryText()"); - String contentEscaped = HtmlUtils.htmlEscape(summaryRequest.content()); - logger.info("contentEscaped: {}...", contentEscaped.substring(0, 50)); - Interaction interaction = new Interaction(); - interaction.setType(InteractionType.SUMMARY_TEXT); - interaction.setConversationId(conversationId); - interaction.setDatetimeRequest(new Date()); - interaction.setModelId(summarizationModelId); - interaction.setRequest(contentEscaped); - Interaction saved = interactionRepository.save(interaction); - try { - String summaryText = ociGenAIService.summaryText(contentEscaped, summarizationModelId, false); - saved.setDatetimeResponse(new Date()); - saved.setResponse(summaryText); - interactionRepository.save(saved); - logger.info("summaryText: {}...", summaryText.substring(0, 50)); - Answer answer = new Answer(); - answer.setContent(summaryText); - answer.setErrorMessage(""); - return answer; - } catch (BmcException e) { - String unmodifiedMessage = e.getUnmodifiedMessage(); - int statusCode = e.getStatusCode(); - String errorMessage = statusCode + " " + unmodifiedMessage; - logger.error(errorMessage); - saved.setErrorMessage(errorMessage); - interactionRepository.save(saved); - Answer answer = new Answer("", errorMessage); - return answer; - } catch (Exception e) { - String errorMessage = e.getLocalizedMessage(); - logger.error(errorMessage); - saved.setErrorMessage(errorMessage); - interactionRepository.save(saved); - Answer answer = new Answer("", errorMessage); - return answer; - } - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java deleted file mode 100644 index b74b0119..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Answer.java +++ /dev/null @@ -1,32 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.dao; - -public class Answer { - - private String content; - - private String errorMessage; - - public Answer() { - } - - public Answer(String content, String errorMessage) { - this.content = content; - this.errorMessage = errorMessage; - } - public void setContent(String content) { - this.content = content; - } - - public String getContent() { - return content; - } - - public String getErrorMessage() { - return errorMessage; - } - - public void setErrorMessage(String errorMessage) { - this.errorMessage = errorMessage; - } - -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java deleted file mode 100644 index 85d1d53c..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiEndpoint.java +++ /dev/null @@ -1,7 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.dao; - -import java.util.Date; -import com.oracle.bmc.generativeai.model.Endpoint; - -public record GenAiEndpoint(String id, String name, Endpoint.LifecycleState state, String model, Date timeCreated) { -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java deleted file mode 100644 index 233a9664..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/GenAiModel.java +++ /dev/null @@ -1,8 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.dao; - -import java.util.Date; -import java.util.List; - -public record GenAiModel(String id, String name, String vendor, String version, List capabilities, - Date timeCreated) { -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java deleted file mode 100644 index 42cf7071..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/Prompt.java +++ /dev/null @@ -1,4 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.dao; - -public record Prompt(String content, String conversationId, String modelId, boolean finetune) { -}; \ No newline at end of file diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java deleted file mode 100644 index 588def2a..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/dao/SummaryRequest.java +++ /dev/null @@ -1,4 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.dao; - -public record SummaryRequest(String content) { -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java deleted file mode 100644 index 56480885..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/Interaction.java +++ /dev/null @@ -1,122 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.data; - -import jakarta.persistence.*; - -import java.util.Date; -import java.util.Objects; - -@Entity -public class Interaction { - @Id - @GeneratedValue(strategy = GenerationType.AUTO) - Long id; - - String conversationId; - - @Enumerated(EnumType.STRING) - InteractionType type; - - @Temporal(TemporalType.DATE) - Date datetimeRequest; - - String modelId; - - @Lob - @Column - String request; - - @Temporal(TemporalType.DATE) - Date datetimeResponse; - - @Lob - @Column - String response; - - @Lob - @Column - String errorMessage; - - public Interaction() { - } - - @Override - public boolean equals(Object o) { - if (this == o) return true; - if (o == null || getClass() != o.getClass()) return false; - Interaction that = (Interaction) o; - return Objects.equals(id, that.id) && Objects.equals(conversationId, that.conversationId) && type == that.type && Objects.equals(datetimeRequest, that.datetimeRequest) && Objects.equals(modelId, that.modelId) && Objects.equals(request, that.request) && Objects.equals(datetimeResponse, that.datetimeResponse) && Objects.equals(response, that.response) && Objects.equals(errorMessage, that.errorMessage); - } - - @Override - public int hashCode() { - return Objects.hash(id, conversationId, type, datetimeRequest, modelId, request, datetimeResponse, response, errorMessage); - } - - public Long getId() { - return id; - } - - public String getConversationId() { - return conversationId; - } - - public void setConversationId(String conversationId) { - this.conversationId = conversationId; - } - - public InteractionType getType() { - return type; - } - - public void setType(InteractionType type) { - this.type = type; - } - - public Date getDatetimeRequest() { - return datetimeRequest; - } - - public void setDatetimeRequest(Date datetimeRequest) { - this.datetimeRequest = datetimeRequest; - } - - public String getModelId() { - return modelId; - } - - public void setModelId(String modelId) { - this.modelId = modelId; - } - - public String getRequest() { - return request; - } - - public void setRequest(String request) { - this.request = request; - } - - public Date getDatetimeResponse() { - return datetimeResponse; - } - - public void setDatetimeResponse(Date datetimeResponse) { - this.datetimeResponse = datetimeResponse; - } - - public String getResponse() { - return response; - } - - public void setResponse(String response) { - this.response = response; - } - - public String getErrorMessage() { - return errorMessage; - } - - public void setErrorMessage(String errorMessage) { - this.errorMessage = errorMessage; - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java deleted file mode 100644 index 32b1ccca..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionRepository.java +++ /dev/null @@ -1,6 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.data; - -import org.springframework.data.jpa.repository.JpaRepository; - -public interface InteractionRepository extends JpaRepository { -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java deleted file mode 100644 index 1d47e02f..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/data/InteractionType.java +++ /dev/null @@ -1,5 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.data; - -public enum InteractionType { - CHAT, SUMMARY_FILE, SUMMARY_TEXT -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java deleted file mode 100644 index b52c4aee..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAIModelsService.java +++ /dev/null @@ -1,44 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.service; - -import com.oracle.bmc.generativeai.GenerativeAiClient; -import com.oracle.bmc.generativeai.model.ModelCapability; -import com.oracle.bmc.generativeai.requests.ListModelsRequest; -import com.oracle.bmc.generativeai.responses.ListModelsResponse; -import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.stereotype.Service; - -import java.util.List; -import java.util.stream.Collectors; - -@Service -public class GenAIModelsService { - Logger log = LoggerFactory.getLogger(GenAIModelsService.class); - - @Value("${genai.compartment_id}") - private String COMPARTMENT_ID; - - @Autowired - private GenAiClientService generativeAiClientService; - - public List getModels() { - log.info("getModels()"); - ListModelsRequest listModelsRequest = ListModelsRequest.builder() - .compartmentId(COMPARTMENT_ID) - .build(); - GenerativeAiClient client = generativeAiClientService.getClient(); - ListModelsResponse response = client.listModels(listModelsRequest); - return response.getModelCollection().getItems().stream() - .map(m -> { - List capabilities = m.getCapabilities().stream() - .map(ModelCapability::getValue).collect(Collectors.toList()); - GenAiModel model = new GenAiModel( - m.getId(), m.getDisplayName(), m.getVendor(), - m.getVersion(), capabilities, m.getTimeCreated()); - return model; - }).collect(Collectors.toList()); - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java deleted file mode 100644 index d9ae21a9..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiClientService.java +++ /dev/null @@ -1,100 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.service; - -import com.oracle.bmc.ConfigFileReader; -import com.oracle.bmc.Region; -import com.oracle.bmc.auth.AuthenticationDetailsProvider; -import com.oracle.bmc.auth.ConfigFileAuthenticationDetailsProvider; -import com.oracle.bmc.auth.InstancePrincipalsAuthenticationDetailsProvider; -import com.oracle.bmc.auth.okeworkloadidentity.OkeWorkloadIdentityAuthenticationDetailsProvider; -import com.oracle.bmc.generativeai.GenerativeAiClient; -import jakarta.annotation.PostConstruct; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.core.env.Environment; -import org.springframework.stereotype.Service; - -import java.io.IOException; - -@Service -public class GenAiClientService { - - Logger log = LoggerFactory.getLogger(GenAiClientService.class); - - @Autowired - private Environment environment; - - private GenerativeAiClient client; - - @Value("${genai.region}") - private String regionCode; - @Value("${genai.config.location}") - private String CONFIG_LOCATION; - @Value("${genai.config.profile}") - private String CONFIG_PROFILE; - - @PostConstruct - private void postConstruct() { - String[] activeProfiles = environment.getActiveProfiles(); - String profile = activeProfiles[0]; - switch (profile) { - case "oke": - okeGenAiClient(); - break; - case "compute": - instancePrincipalClient(); - break; - default: - localClient(); - break; - } - } - - private void okeGenAiClient() { - final OkeWorkloadIdentityAuthenticationDetailsProvider provider = new OkeWorkloadIdentityAuthenticationDetailsProvider - .OkeWorkloadIdentityAuthenticationDetailsProviderBuilder() - .build(); - GenerativeAiClient okeClient = GenerativeAiClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(okeClient); - } - - - private void instancePrincipalClient() { - final InstancePrincipalsAuthenticationDetailsProvider provider = new InstancePrincipalsAuthenticationDetailsProvider - .InstancePrincipalsAuthenticationDetailsProviderBuilder() - .build(); - - GenerativeAiClient instancePrinciplaClient = GenerativeAiClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(instancePrinciplaClient); - } - - private void localClient() { - final ConfigFileReader.ConfigFile configFile; - try { - configFile = ConfigFileReader.parse(CONFIG_LOCATION, CONFIG_PROFILE); - } catch (IOException e) { - log.error("Failed to load config file at {}", CONFIG_LOCATION); - log.error(e.getMessage()); - throw new RuntimeException(e); - } - final AuthenticationDetailsProvider provider = new ConfigFileAuthenticationDetailsProvider(configFile); - - GenerativeAiClient localClient = GenerativeAiClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(localClient); - } - - public GenerativeAiClient getClient() { - return client; - } - - public void setClient(GenerativeAiClient client) { - this.client = client; - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java deleted file mode 100644 index 1de3aa6f..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/GenAiInferenceClientService.java +++ /dev/null @@ -1,97 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.service; - -import com.oracle.bmc.ConfigFileReader; -import com.oracle.bmc.Region; -import com.oracle.bmc.auth.AuthenticationDetailsProvider; -import com.oracle.bmc.auth.ConfigFileAuthenticationDetailsProvider; -import com.oracle.bmc.auth.InstancePrincipalsAuthenticationDetailsProvider; -import com.oracle.bmc.auth.okeworkloadidentity.OkeWorkloadIdentityAuthenticationDetailsProvider; -import com.oracle.bmc.generativeaiinference.GenerativeAiInferenceClient; -import jakarta.annotation.PostConstruct; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.core.env.Environment; -import org.springframework.stereotype.Service; - -import java.io.IOException; - -@Service -public class GenAiInferenceClientService { - - Logger log = LoggerFactory.getLogger(GenAiInferenceClientService.class); - - private GenerativeAiInferenceClient client; - - @Autowired - private Environment environment; - - @Value("${genai.region}") - private String regionCode; - @Value("${genai.config.location}") - private String CONFIG_LOCATION; - @Value("${genai.config.profile}") - private String CONFIG_PROFILE; - - @PostConstruct - private void postConstruct() { - String[] activeProfiles = environment.getActiveProfiles(); - String profile = activeProfiles[0]; - log.info("Profile: {}", profile); - switch (profile) { - case "oke": - okeGenAiClient(); - break; - case "compute": - instancePrincipalClient(); - break; - default: - localConfig(); - break; - } - } - - private void okeGenAiClient() { - final OkeWorkloadIdentityAuthenticationDetailsProvider provider = new OkeWorkloadIdentityAuthenticationDetailsProvider - .OkeWorkloadIdentityAuthenticationDetailsProviderBuilder() - .build(); - GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(okeClient); - } - - private void instancePrincipalClient() { - final InstancePrincipalsAuthenticationDetailsProvider provider = new InstancePrincipalsAuthenticationDetailsProvider.InstancePrincipalsAuthenticationDetailsProviderBuilder() - .build(); - - GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(okeClient); - } - - private void localConfig() { - final ConfigFileReader.ConfigFile configFile; - try { - configFile = ConfigFileReader.parse(CONFIG_LOCATION, CONFIG_PROFILE); - } catch (IOException e) { - throw new RuntimeException(e); - } - final AuthenticationDetailsProvider provider = new ConfigFileAuthenticationDetailsProvider(configFile); - - GenerativeAiInferenceClient okeClient = GenerativeAiInferenceClient.builder() - .region(Region.fromRegionCode(regionCode)) - .build(provider); - setClient(okeClient); - } - - public GenerativeAiInferenceClient getClient() { - return client; - } - - public void setClient(GenerativeAiInferenceClient client) { - this.client = client; - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java deleted file mode 100644 index ecf9d73c..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/OCIGenAIService.java +++ /dev/null @@ -1,117 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.service; - -import com.oracle.bmc.generativeaiinference.model.*; -import com.oracle.bmc.generativeaiinference.model.Message; -import com.oracle.bmc.generativeaiinference.requests.ChatRequest; -import com.oracle.bmc.generativeaiinference.responses.ChatResponse; -import dev.victormartin.oci.genai.backend.backend.dao.GenAiModel; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.beans.factory.annotation.Autowired; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.stereotype.Service; - -import java.util.ArrayList; -import java.util.List; - -@Service -public class OCIGenAIService { - - Logger log = LoggerFactory.getLogger(OCIGenAIService.class); - - @Value("${genai.compartment_id}") - private String COMPARTMENT_ID; - - @Autowired - private GenAiInferenceClientService generativeAiInferenceClientService; - - @Autowired - private GenAIModelsService genAIModelsService; - - public String resolvePrompt(String input, String modelId, boolean finetune, boolean summarization) { - - List models = genAIModelsService.getModels(); - GenAiModel currentModel = models.stream() - .filter(m-> modelId.equals(m.id())) - .findFirst() - .orElseThrow(); - - log.info("Model {} with finetune {}", currentModel.name(), finetune? "yes" : "no"); - - double temperature = summarization?0.0:0.5; - - String inputText = summarization?"Summarize this text:\n" + input: input; - - ChatDetails chatDetails; - switch (currentModel.vendor()) { - case "cohere": - CohereChatRequest cohereChatRequest = CohereChatRequest.builder() - .message(inputText) - .maxTokens(600) - .temperature(temperature) - .frequencyPenalty((double) 0) - .topP(0.75) - .topK(0) - .isStream(false) // TODO websockets and streams - .build(); - - chatDetails = ChatDetails.builder() - .servingMode(OnDemandServingMode.builder().modelId(currentModel.id()).build()) - .compartmentId(COMPARTMENT_ID) - .chatRequest(cohereChatRequest) - .build(); - break; - case "meta": - ChatContent content = TextContent.builder() - .text(inputText) - .build(); - List contents = new ArrayList<>(); - contents.add(content); - List messages = new ArrayList<>(); - Message message = new UserMessage(contents, "user"); - messages.add(message); - GenericChatRequest genericChatRequest = GenericChatRequest.builder() - .messages(messages) - .maxTokens(600) - .temperature((double)1) - .frequencyPenalty((double)0) - .presencePenalty((double)0) - .topP(0.75) - .topK(-1) - .isStream(false) - .build(); - chatDetails = ChatDetails.builder() - .servingMode(OnDemandServingMode.builder().modelId(currentModel.id()).build()) - .compartmentId(COMPARTMENT_ID) - .chatRequest(genericChatRequest) - .build(); - break; - default: - throw new IllegalStateException("Unexpected value: " + currentModel.vendor()); - } - - ChatRequest request = ChatRequest.builder() - .chatDetails(chatDetails) - .build(); - ChatResponse response = generativeAiInferenceClientService.getClient().chat(request); - ChatResult chatResult = response.getChatResult(); - - BaseChatResponse baseChatResponse = chatResult.getChatResponse(); - if (baseChatResponse instanceof CohereChatResponse) { - return ((CohereChatResponse)baseChatResponse).getText(); - } else if (baseChatResponse instanceof GenericChatResponse) { - List choices = ((GenericChatResponse) baseChatResponse).getChoices(); - List contents = choices.get(choices.size() - 1).getMessage().getContent(); - ChatContent content = contents.get(contents.size() - 1); - if (content instanceof TextContent) { - return ((TextContent) content).getText(); - } - } - throw new IllegalStateException("Unexpected chat response type: " + baseChatResponse.getClass().getName()); - } - - public String summaryText(String input, String modelId, boolean finetuned) { - String response = resolvePrompt(input, modelId, finetuned, true); - return response; - } -} diff --git a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java b/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java deleted file mode 100644 index 489572b5..00000000 --- a/backend/src/main/java/dev/victormartin/oci/genai/backend/backend/service/PDFConvertorService.java +++ /dev/null @@ -1,28 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend.service; - -import org.apache.pdfbox.Loader; -import org.apache.pdfbox.pdmodel.PDDocument; -import org.apache.pdfbox.text.PDFTextStripper; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; -import org.springframework.stereotype.Service; -import org.springframework.util.ResourceUtils; - -import java.io.File; -import java.io.IOException; - -@Service -public class PDFConvertorService { - Logger log = LoggerFactory.getLogger(PDFConvertorService.class); - - public String convert(String filePath) { - try { - File file = ResourceUtils.getFile(filePath); - PDDocument doc = Loader.loadPDF(file); - return new PDFTextStripper().getText(doc); - } catch (IOException e) { - log.error(e.getMessage()); - throw new RuntimeException(e); - } - } -} \ No newline at end of file diff --git a/backend/src/main/resources/application.yaml b/backend/src/main/resources/application.yaml deleted file mode 100644 index 5f004124..00000000 --- a/backend/src/main/resources/application.yaml +++ /dev/null @@ -1,36 +0,0 @@ -spring: - main: - banner-mode: "off" - profiles: - active: default - datasource: - driver-class-name: oracle.jdbc.OracleDriver - url: jdbc:oracle:thin:@DB_SERVICE_high?TNS_ADMIN=/PATH/TO/WALLET - username: ADMIN - password: "PASSWORD" - type: oracle.ucp.jdbc.PoolDataSource - oracleucp: - sql-for-validate-connection: SELECT * FROM dual - connection-pool-name: connectionPoolName1 - initial-pool-size: 5 - min-pool-size: 5 - max-pool-size: 10 - jpa: - hibernate: - use-new-id-generator-mappings: false - ddl-auto: update -oracle: - jdbc: - fanEnabled: true - -genai: - region: "US_CHICAGO_1" - config: - location: "~/.oci/config" - profile: "DEFAULT" - compartment_id: "COMPARTMENT_ID" - chat_model_id: "ocid1.generativeaimodel.AAAAAAAAAAAAA" - summarization_model_id: "ocid1.generativeaimodel.AAAAAAAAAAAAA" -storage: - path: "/PATH/FOR/UPLOAD/FILES" - diff --git a/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java b/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java deleted file mode 100644 index 1da255b4..00000000 --- a/backend/src/test/java/dev/victormartin/oci/genai/backend/backend/BackendApplicationTests.java +++ /dev/null @@ -1,13 +0,0 @@ -package dev.victormartin.oci.genai.backend.backend; - -import org.junit.jupiter.api.Test; -import org.springframework.boot.test.context.SpringBootTest; - -@SpringBootTest -class BackendApplicationTests { - - @Test - void contextLoads() { - } - -} diff --git a/deploy/k8s/app/app-svc.yaml b/deploy/k8s/app/app-svc.yaml deleted file mode 100644 index 3d6cacfe..00000000 --- a/deploy/k8s/app/app-svc.yaml +++ /dev/null @@ -1,13 +0,0 @@ -apiVersion: v1 -kind: Service -metadata: - labels: - app: app - name: app -spec: - ports: - - port: 80 - protocol: TCP - targetPort: 80 - selector: - app: app \ No newline at end of file diff --git a/deploy/k8s/app/app.yaml b/deploy/k8s/app/app.yaml deleted file mode 100644 index 61f7b972..00000000 --- a/deploy/k8s/app/app.yaml +++ /dev/null @@ -1,43 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - app: app - name: app -spec: - replicas: 1 - selector: - matchLabels: - app: app - strategy: - type: RollingUpdate - rollingUpdate: - maxSurge: 1 - maxUnavailable: 1 - template: - metadata: - labels: - app: app - spec: - containers: - - image: app - imagePullPolicy: "Always" - name: app - readinessProbe: - httpGet: - scheme: HTTP - path: /index.html - port: 80 - initialDelaySeconds: 10 - periodSeconds: 5 - ports: - - containerPort: 80 - resources: - requests: - cpu: 100m - memory: 256Mi - limits: - cpu: 250m - memory: 521Mi - imagePullSecrets: - - name: ocir-secret \ No newline at end of file diff --git a/deploy/k8s/app/kustomization.yaml b/deploy/k8s/app/kustomization.yaml deleted file mode 100644 index fe280da3..00000000 --- a/deploy/k8s/app/kustomization.yaml +++ /dev/null @@ -1,4 +0,0 @@ -resources: - - app.yaml - - app-svc.yaml -namespace: backend \ No newline at end of file diff --git a/deploy/k8s/backend/application.yaml.mustache b/deploy/k8s/backend/application.yaml.mustache deleted file mode 100644 index e0e21e86..00000000 --- a/deploy/k8s/backend/application.yaml.mustache +++ /dev/null @@ -1,32 +0,0 @@ -spring: - main: - banner-mode: "off" - profiles: - active: oke - datasource: - driver-class-name: oracle.jdbc.OracleDriver - url: jdbc:oracle:thin:@{{{db_service}}}_high?TNS_ADMIN={{{path_to_wallet}}} - username: ADMIN - password: "{{{db_password}}}" - type: oracle.ucp.jdbc.PoolDataSource - oracleucp: - sql-for-validate-connection: SELECT * FROM dual - connection-pool-name: connectionPoolName1 - initial-pool-size: 5 - min-pool-size: 5 - max-pool-size: 10 - jpa: - hibernate: - use-new-id-generator-mappings: false - ddl-auto: update -oracle: - jdbc: - fanEnabled: true - -genai: - region: "{{{region_name}}}" - compartment_id: "{{{compartment_ocid}}}" - chat_model_id: "{{{genai_model_chat_ocid}}}" - summarization_model_id: "{{{genai_model_summarization_ocid}}}" -storage: - path: "/temp" diff --git a/deploy/k8s/backend/backend-svc.yaml b/deploy/k8s/backend/backend-svc.yaml deleted file mode 100644 index f65352a4..00000000 --- a/deploy/k8s/backend/backend-svc.yaml +++ /dev/null @@ -1,13 +0,0 @@ -apiVersion: v1 -kind: Service -metadata: - labels: - app: backend - name: backend -spec: - ports: - - port: 8080 - protocol: TCP - targetPort: 8080 - selector: - app: backend \ No newline at end of file diff --git a/deploy/k8s/backend/backend.yaml b/deploy/k8s/backend/backend.yaml deleted file mode 100644 index c8f36484..00000000 --- a/deploy/k8s/backend/backend.yaml +++ /dev/null @@ -1,80 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - app: backend - name: backend -spec: - replicas: 1 - minReadySeconds: 60 - selector: - matchLabels: - app: backend - strategy: - type: RollingUpdate - rollingUpdate: - maxSurge: 1 - maxUnavailable: 1 - template: - metadata: - labels: - app: backend - spec: - serviceAccountName: oci-service-account - automountServiceAccountToken: true - initContainers: - - name: unzip - image: busybox - command: ["unzip", "/walletzip/wallet.zip", "-d", "/wallet"] - volumeMounts: - - name: wallet-config - mountPath: /walletzip - - name: wallet-volume - mountPath: /wallet - containers: - - image: backend - imagePullPolicy: "Always" - name: backend - livenessProbe: - httpGet: - path: /actuator/health/liveness - port: 8080 - initialDelaySeconds: 90 - periodSeconds: 5 - readinessProbe: - httpGet: - path: /actuator/health/readiness - port: 8080 - initialDelaySeconds: 90 - periodSeconds: 5 - ports: - - containerPort: 8080 - resources: - requests: - cpu: 250m - memory: 512Mi - limits: - cpu: 500m - memory: 1024Mi - volumeMounts: - - name: config-volume - mountPath: /config - - name: wallet-volume - mountPath: /wallet - - name: temp - mountPath: /temp - volumes: - - name: config-volume - configMap: - name: backend-properties - - name: wallet-config - configMap: - name: wallet-zip - - name: wallet-volume - emptyDir: - sizeLimit: 50Mi - - name: temp - emptyDir: - sizeLimit: 500Mi - imagePullSecrets: - - name: ocir-secret \ No newline at end of file diff --git a/deploy/k8s/backend/kustomization.yaml b/deploy/k8s/backend/kustomization.yaml deleted file mode 100644 index 4af50e44..00000000 --- a/deploy/k8s/backend/kustomization.yaml +++ /dev/null @@ -1,12 +0,0 @@ -resources: - - service-account.yaml - - backend.yaml - - backend-svc.yaml -configMapGenerator: - - name: backend-properties - files: - - application.yaml - - name: wallet-zip - files: - - wallet/wallet.zip -namespace: backend \ No newline at end of file diff --git a/deploy/k8s/backend/service-account.yaml b/deploy/k8s/backend/service-account.yaml deleted file mode 100644 index 03f9ef59..00000000 --- a/deploy/k8s/backend/service-account.yaml +++ /dev/null @@ -1,4 +0,0 @@ -apiVersion: v1 -kind: ServiceAccount -metadata: - name: oci-service-account diff --git a/deploy/k8s/ingress/ingress-controller.yaml b/deploy/k8s/ingress/ingress-controller.yaml deleted file mode 100644 index 06e08025..00000000 --- a/deploy/k8s/ingress/ingress-controller.yaml +++ /dev/null @@ -1,333 +0,0 @@ -apiVersion: v1 -data: - allow-snippet-annotations: "true" -kind: ConfigMap -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-controller - namespace: ingress-nginx ---- -apiVersion: v1 -kind: Service -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - annotations: - service.beta.kubernetes.io/oci-load-balancer-shape: "flexible" - service.beta.kubernetes.io/oci-load-balancer-shape-flex-min: "10Mbps" - service.beta.kubernetes.io/oci-load-balancer-shape-flex-max: "40Mbps" - # nginx.ingress.kubernetes.io/affinity: "cookie" - # nginx.ingress.kubernetes.io/session-cookie-name: "sticky" - nginx.ingress.kubernetes.io/proxy-send-timeout: "3600" - nginx.ingress.kubernetes.io/proxy-read-timeout: "3600" - nginx.ingress.kubernetes.io/proxy-connect-timeout: "3600" - nginx.ingress.kubernetes.io/websocket-services: "ws-server" - name: ingress-nginx-controller - namespace: ingress-nginx -spec: - externalTrafficPolicy: Local - ipFamilies: - - IPv4 - ipFamilyPolicy: SingleStack - ports: - - appProtocol: http - name: http - port: 80 - protocol: TCP - targetPort: http - - appProtocol: https - name: https - port: 443 - protocol: TCP - targetPort: https - selector: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - type: LoadBalancer ---- -apiVersion: v1 -kind: Service -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-controller-admission - namespace: ingress-nginx -spec: - ports: - - appProtocol: https - name: https-webhook - port: 443 - targetPort: webhook - selector: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - type: ClusterIP ---- -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-controller - namespace: ingress-nginx -spec: - minReadySeconds: 0 - revisionHistoryLimit: 10 - selector: - matchLabels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - template: - metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - spec: - containers: - - args: - - /nginx-ingress-controller - - --publish-service=$(POD_NAMESPACE)/ingress-nginx-controller - - --election-id=ingress-nginx-leader - - --controller-class=k8s.io/ingress-nginx - - --ingress-class=nginx - - --configmap=$(POD_NAMESPACE)/ingress-nginx-controller - - --validating-webhook=:8443 - - --validating-webhook-certificate=/usr/local/certificates/cert - - --validating-webhook-key=/usr/local/certificates/key - env: - - name: POD_NAME - valueFrom: - fieldRef: - fieldPath: metadata.name - - name: POD_NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: LD_PRELOAD - value: /usr/local/lib/libmimalloc.so - image: registry.k8s.io/ingress-nginx/controller:v1.5.1@sha256:4ba73c697770664c1e00e9f968de14e08f606ff961c76e5d7033a4a9c593c629 - imagePullPolicy: IfNotPresent - lifecycle: - preStop: - exec: - command: - - /wait-shutdown - livenessProbe: - failureThreshold: 5 - httpGet: - path: /healthz - port: 10254 - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 10 - successThreshold: 1 - timeoutSeconds: 1 - name: controller - ports: - - containerPort: 80 - name: http - protocol: TCP - - containerPort: 443 - name: https - protocol: TCP - - containerPort: 8443 - name: webhook - protocol: TCP - readinessProbe: - failureThreshold: 3 - httpGet: - path: /healthz - port: 10254 - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 10 - successThreshold: 1 - timeoutSeconds: 1 - resources: - requests: - cpu: 100m - memory: 90Mi - securityContext: - allowPrivilegeEscalation: true - capabilities: - add: - - NET_BIND_SERVICE - drop: - - ALL - runAsUser: 101 - volumeMounts: - - mountPath: /usr/local/certificates/ - name: webhook-cert - readOnly: true - dnsPolicy: ClusterFirst - nodeSelector: - kubernetes.io/os: linux - serviceAccountName: ingress-nginx - terminationGracePeriodSeconds: 300 - volumes: - - name: webhook-cert - secret: - secretName: ingress-nginx-admission ---- -apiVersion: batch/v1 -kind: Job -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission-create - namespace: ingress-nginx -spec: - template: - metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission-create - spec: - containers: - - args: - - create - - --host=ingress-nginx-controller-admission,ingress-nginx-controller-admission.$(POD_NAMESPACE).svc - - --namespace=$(POD_NAMESPACE) - - --secret-name=ingress-nginx-admission - env: - - name: POD_NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - image: registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20220916-gd32f8c343@sha256:39c5b2e3310dc4264d638ad28d9d1d96c4cbb2b2dcfb52368fe4e3c63f61e10f - imagePullPolicy: IfNotPresent - name: create - securityContext: - allowPrivilegeEscalation: false - nodeSelector: - kubernetes.io/os: linux - restartPolicy: OnFailure - securityContext: - fsGroup: 2000 - runAsNonRoot: true - runAsUser: 2000 - serviceAccountName: ingress-nginx-admission ---- -apiVersion: batch/v1 -kind: Job -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission-patch - namespace: ingress-nginx -spec: - template: - metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission-patch - spec: - containers: - - args: - - patch - - --webhook-name=ingress-nginx-admission - - --namespace=$(POD_NAMESPACE) - - --patch-mutating=false - - --secret-name=ingress-nginx-admission - - --patch-failure-policy=Fail - env: - - name: POD_NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - image: registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20220916-gd32f8c343@sha256:39c5b2e3310dc4264d638ad28d9d1d96c4cbb2b2dcfb52368fe4e3c63f61e10f - imagePullPolicy: IfNotPresent - name: patch - securityContext: - allowPrivilegeEscalation: false - nodeSelector: - kubernetes.io/os: linux - restartPolicy: OnFailure - securityContext: - fsGroup: 2000 - runAsNonRoot: true - runAsUser: 2000 - serviceAccountName: ingress-nginx-admission ---- -apiVersion: networking.k8s.io/v1 -kind: IngressClass -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: nginx -spec: - controller: k8s.io/ingress-nginx ---- -apiVersion: admissionregistration.k8s.io/v1 -kind: ValidatingWebhookConfiguration -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission -webhooks: -- admissionReviewVersions: - - v1 - clientConfig: - service: - name: ingress-nginx-controller-admission - namespace: ingress-nginx - path: /networking/v1/ingresses - failurePolicy: Fail - matchPolicy: Equivalent - name: validate.nginx.ingress.kubernetes.io - rules: - - apiGroups: - - networking.k8s.io - apiVersions: - - v1 - operations: - - CREATE - - UPDATE - resources: - - ingresses - sideEffects: None \ No newline at end of file diff --git a/deploy/k8s/ingress/ingress-ns.yaml b/deploy/k8s/ingress/ingress-ns.yaml deleted file mode 100644 index a7e998d0..00000000 --- a/deploy/k8s/ingress/ingress-ns.yaml +++ /dev/null @@ -1,7 +0,0 @@ -apiVersion: v1 -kind: Namespace -metadata: - labels: - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - name: ingress-nginx \ No newline at end of file diff --git a/deploy/k8s/ingress/ingress-rbac.yaml b/deploy/k8s/ingress/ingress-rbac.yaml deleted file mode 100644 index bcbf9d3e..00000000 --- a/deploy/k8s/ingress/ingress-rbac.yaml +++ /dev/null @@ -1,327 +0,0 @@ -apiVersion: v1 -automountServiceAccountToken: true -kind: ServiceAccount -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx - namespace: ingress-nginx ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission - namespace: ingress-nginx ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: Role -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx - namespace: ingress-nginx -rules: -- apiGroups: - - "" - resources: - - namespaces - verbs: - - get -- apiGroups: - - "" - resources: - - configmaps - - pods - - secrets - - endpoints - verbs: - - get - - list - - watch -- apiGroups: - - "" - resources: - - services - verbs: - - get - - list - - watch -- apiGroups: - - networking.k8s.io - resources: - - ingresses - verbs: - - get - - list - - watch -- apiGroups: - - networking.k8s.io - resources: - - ingresses/status - verbs: - - update -- apiGroups: - - networking.k8s.io - resources: - - ingressclasses - verbs: - - get - - list - - watch -- apiGroups: - - "" - resourceNames: - - ingress-nginx-leader - resources: - - configmaps - verbs: - - get - - update -- apiGroups: - - "" - resources: - - configmaps - verbs: - - create -- apiGroups: - - coordination.k8s.io - resourceNames: - - ingress-nginx-leader - resources: - - leases - verbs: - - get - - update -- apiGroups: - - coordination.k8s.io - resources: - - leases - verbs: - - create -- apiGroups: - - "" - resources: - - events - verbs: - - create - - patch -- apiGroups: - - discovery.k8s.io - resources: - - endpointslices - verbs: - - list - - watch - - get ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: Role -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission - namespace: ingress-nginx -rules: -- apiGroups: - - "" - resources: - - secrets - verbs: - - get - - create ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRole -metadata: - labels: - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx -rules: -- apiGroups: - - "" - resources: - - configmaps - - endpoints - - nodes - - pods - - secrets - - namespaces - verbs: - - list - - watch -- apiGroups: - - coordination.k8s.io - resources: - - leases - verbs: - - list - - watch -- apiGroups: - - "" - resources: - - nodes - verbs: - - get -- apiGroups: - - "" - resources: - - services - verbs: - - get - - list - - watch -- apiGroups: - - networking.k8s.io - resources: - - ingresses - verbs: - - get - - list - - watch -- apiGroups: - - "" - resources: - - events - verbs: - - create - - patch -- apiGroups: - - networking.k8s.io - resources: - - ingresses/status - verbs: - - update -- apiGroups: - - networking.k8s.io - resources: - - ingressclasses - verbs: - - get - - list - - watch -- apiGroups: - - discovery.k8s.io - resources: - - endpointslices - verbs: - - list - - watch - - get ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRole -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission -rules: -- apiGroups: - - admissionregistration.k8s.io - resources: - - validatingwebhookconfigurations - verbs: - - get - - update ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - labels: - app.kubernetes.io/component: controller - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx - namespace: ingress-nginx -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ingress-nginx -subjects: -- kind: ServiceAccount - name: ingress-nginx - namespace: ingress-nginx ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission - namespace: ingress-nginx -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ingress-nginx-admission -subjects: -- kind: ServiceAccount - name: ingress-nginx-admission - namespace: ingress-nginx ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRoleBinding -metadata: - labels: - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: ingress-nginx -subjects: -- kind: ServiceAccount - name: ingress-nginx - namespace: ingress-nginx ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRoleBinding -metadata: - labels: - app.kubernetes.io/component: admission-webhook - app.kubernetes.io/instance: ingress-nginx - app.kubernetes.io/name: ingress-nginx - app.kubernetes.io/part-of: ingress-nginx - app.kubernetes.io/version: 1.5.1 - name: ingress-nginx-admission -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: ingress-nginx-admission -subjects: -- kind: ServiceAccount - name: ingress-nginx-admission - namespace: ingress-nginx ---- \ No newline at end of file diff --git a/deploy/k8s/ingress/ingress.yaml b/deploy/k8s/ingress/ingress.yaml deleted file mode 100644 index 6c49d0f1..00000000 --- a/deploy/k8s/ingress/ingress.yaml +++ /dev/null @@ -1,39 +0,0 @@ -apiVersion: networking.k8s.io/v1 -kind: Ingress -metadata: - name: ingress -spec: - ingressClassName: nginx - tls: - - secretName: tls - rules: - - http: - paths: - - path: /api - pathType: Prefix - backend: - service: - name: backend - port: - number: 8080 - - path: /websocket - pathType: Prefix - backend: - service: - name: backend - port: - number: 8080 - # - path: /summary - # pathType: Prefix - # backend: - # service: - # name: web - # port: - # number: 80 - - path: / - pathType: Prefix - backend: - service: - name: app - port: - number: 80 \ No newline at end of file diff --git a/deploy/k8s/ingress/kustomization.yaml b/deploy/k8s/ingress/kustomization.yaml deleted file mode 100644 index 6196e176..00000000 --- a/deploy/k8s/ingress/kustomization.yaml +++ /dev/null @@ -1,12 +0,0 @@ -resources: - - ingress-ns.yaml - - ingress-rbac.yaml - - ingress-controller.yaml - - ingress.yaml -secretGenerator: -- name: tls - files: - - .certs/tls.crt - - .certs/tls.key - type: "kubernetes.io/tls" -namespace: backend \ No newline at end of file diff --git a/deploy/k8s/overlays/prod/kustomization.yaml.mustache b/deploy/k8s/overlays/prod/kustomization.yaml.mustache deleted file mode 100644 index 864f5d81..00000000 --- a/deploy/k8s/overlays/prod/kustomization.yaml.mustache +++ /dev/null @@ -1,12 +0,0 @@ -resources: - - "../../ingress" - - "../../app" - - "../../backend" - -images: -- name: app - newName: {{region_key}}.ocir.io/{{{tenancy_namespace}}}/{{{project_name}}}/app - newTag: {{{app_version}}} -- name: backend - newName: {{region_key}}.ocir.io/{{{tenancy_namespace}}}/{{{project_name}}}/backend - newTag: {{{backend_version}}} \ No newline at end of file diff --git a/deploy/k8s/web/kustomization.yaml b/deploy/k8s/web/kustomization.yaml deleted file mode 100644 index 66829d63..00000000 --- a/deploy/k8s/web/kustomization.yaml +++ /dev/null @@ -1,4 +0,0 @@ -resources: - - web.yaml - - web-svc.yaml -namespace: backend \ No newline at end of file diff --git a/deploy/k8s/web/web-svc.yaml b/deploy/k8s/web/web-svc.yaml deleted file mode 100644 index bec7ac84..00000000 --- a/deploy/k8s/web/web-svc.yaml +++ /dev/null @@ -1,13 +0,0 @@ -apiVersion: v1 -kind: Service -metadata: - labels: - app: web - name: web -spec: - ports: - - port: 80 - protocol: TCP - targetPort: 80 - selector: - app: web \ No newline at end of file diff --git a/deploy/k8s/web/web.yaml b/deploy/k8s/web/web.yaml deleted file mode 100644 index 3aaa235f..00000000 --- a/deploy/k8s/web/web.yaml +++ /dev/null @@ -1,42 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - app: web - name: web -spec: - replicas: 1 - selector: - matchLabels: - app: web - strategy: - type: RollingUpdate - rollingUpdate: - maxSurge: 1 - maxUnavailable: 1 - template: - metadata: - labels: - app: web - spec: - containers: - - image: web - name: web - readinessProbe: - httpGet: - scheme: HTTP - path: /index.html - port: 80 - initialDelaySeconds: 10 - periodSeconds: 5 - ports: - - containerPort: 80 - resources: - requests: - cpu: 100m - memory: 256Mi - limits: - cpu: 250m - memory: 521Mi - imagePullSecrets: - - name: ocir-secret \ No newline at end of file diff --git a/deploy/terraform/.terraform.lock.hcl b/deploy/terraform/.terraform.lock.hcl deleted file mode 100644 index 6e164f30..00000000 --- a/deploy/terraform/.terraform.lock.hcl +++ /dev/null @@ -1,165 +0,0 @@ -# This file is maintained automatically by "terraform init". -# Manual edits may be lost in future updates. - -provider "registry.terraform.io/hashicorp/cloudinit" { - version = "2.3.6" - constraints = ">= 2.2.0" - hashes = [ - 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-variable "autonomous_database_db_license" { - type = string - default = "BRING_YOUR_OWN_LICENSE" -} - -variable "autonomous_database_db_whitelisted_ips" { - type = list(string) - default = ["0.0.0.0/0"] # Don't do this in prod -} - -variable "autonomous_database_cpu_core_count" { - type = number - default = 1 -} - -variable "autonomous_database_data_storage_size_in_tbs" { - type = number - default = 1 -} - -resource "random_password" "adb_admin_password" { - length = 16 - special = true - min_numeric = 3 - min_special = 3 - min_lower = 3 - min_upper = 3 - override_special = "()-_[]{}?" -} - -resource "oci_database_autonomous_database" "adb" { - compartment_id = var.compartment_ocid - db_name = "${local.project_name}${local.deploy_id}" - - #Optional - admin_password = random_password.adb_admin_password.result - cpu_core_count = var.autonomous_database_cpu_core_count - data_storage_size_in_tbs = var.autonomous_database_data_storage_size_in_tbs - db_workload = var.autonomous_database_db_workload - display_name = "${local.project_name}${local.deploy_id}" - is_mtls_connection_required = true - whitelisted_ips = var.autonomous_database_db_whitelisted_ips - is_auto_scaling_enabled = true - license_model = var.autonomous_database_db_license -} - -# For mTLS and Wallet connectivity consider the following code - -resource "oci_database_autonomous_database_wallet" "adb_wallet" { - autonomous_database_id = oci_database_autonomous_database.adb.id - password = random_password.adb_admin_password.result - base64_encode_content = "true" -} - -resource "local_file" "adb_wallet_file" { - content_base64 = oci_database_autonomous_database_wallet.adb_wallet.content - filename = "${path.module}/generated/wallet.zip" -} \ No newline at end of file diff --git a/deploy/terraform/data.tf b/deploy/terraform/data.tf deleted file mode 100644 index 2e7a78c7..00000000 --- a/deploy/terraform/data.tf +++ /dev/null @@ -1,28 +0,0 @@ -data "oci_identity_tenancy" "tenant_details" { - tenancy_id = var.tenancy_ocid - - provider = oci -} - -data "oci_identity_region_subscriptions" "region_subscriptions" { - tenancy_id = var.tenancy_ocid - - provider = oci -} - -data "oci_identity_compartment" "compartment" { - id = var.compartment_ocid -} - -data "oci_identity_availability_domains" "ads" { - compartment_id = var.tenancy_ocid -} - -data "oci_objectstorage_namespace" "objectstorage_namespace" { - compartment_id = var.tenancy_ocid -} - - -data "oci_containerengine_cluster_option" "oke" { - cluster_option_id = "all" -} diff --git a/deploy/terraform/iam.tf b/deploy/terraform/iam.tf deleted file mode 100644 index e249e6e6..00000000 --- a/deploy/terraform/iam.tf +++ /dev/null @@ -1,62 +0,0 @@ -locals { - oke_policy_name = "${local.project_name}_${local.deploy_id}_oke" - ocir_group_name = "${local.project_name}-${local.deploy_id}-group" -} - -# TODO restrict permissions, all gen ai family is too much -# but it doesn't seems to work in other than tenancy level -resource "oci_identity_policy" "allow-oke-genai-policy" { - provider = oci.home - compartment_id = var.tenancy_ocid - name = "${local.oke_policy_name}" - description = "Allow OKE workload to manage gen ai service for ${local.project_name} ${local.deploy_id}" - statements = [ - "Allow any-user to manage generative-ai-family in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}" - # "Allow any-user to manage generative-ai-chat in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", - # "Allow any-user to manage generative-ai-text-generation in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", - # "Allow any-user to manage generative-ai-text-summarization in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", - # "Allow any-user to manage generative-ai-text-embedding in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", - # "Allow any-user to manage generative-ai-work-request in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}", - # "Allow any-user to manage generative-ai-model in tenancy where all { request.principal.type = 'workload', request.principal.namespace = 'backend', request.principal.service_account = 'oci-service-account', request.principal.cluster_id = '${module.oke.cluster_id}'}" - ] -} - -resource "oci_identity_group" "ocir_group" { - provider = oci.home - compartment_id = var.tenancy_ocid - description = "Group for Oracle Container Image Registry users for ${local.project_name}${local.deploy_id}" - name = local.ocir_group_name -} - -resource "oci_identity_user" "ocir_user" { - provider = oci.home - compartment_id = var.tenancy_ocid - description = "User for pushing images to OCIR" - name = "${local.project_name}-${local.deploy_id}-ocir-user" - - email = "${local.project_name}-${local.deploy_id}-ocir-user@example.com" -} - -resource "oci_identity_user_group_membership" "ocir_user_group_membership" { - provider = oci.home - group_id = oci_identity_group.ocir_group.id - user_id = oci_identity_user.ocir_user.id -} - -resource "oci_identity_auth_token" "ocir_user_auth_token" { - provider = oci.home - description = "User Auth Token to publish images to OCIR" - user_id = oci_identity_user.ocir_user.id -} - -// FIXME allowing manage repos in tenancy, compartment will throw a 403 when pushing image -// FIXME make it compartment specific -resource "oci_identity_policy" "manage_ocir_compartment" { - provider = oci.home - compartment_id = var.tenancy_ocid - name = "manage_ocir_in_compartment_for_${local.project_name}_${random_string.deploy_id.result}" - description = "Allow group to manage ocir at compartment level for ${local.project_name} ${random_string.deploy_id.result}" - statements = [ - "allow group ${local.ocir_group_name} to manage repos in tenancy", - ] -} diff --git a/deploy/terraform/main.tf b/deploy/terraform/main.tf deleted file mode 100644 index 591f77e8..00000000 --- a/deploy/terraform/main.tf +++ /dev/null @@ -1,6 +0,0 @@ -locals { - project_name = var.project_name - deploy_id = random_string.deploy_id.result - anywhere = "0.0.0.0/0" - tcp = "6" -} \ No newline at end of file diff --git a/deploy/terraform/oke.tf b/deploy/terraform/oke.tf deleted file mode 100644 index fa4e69b0..00000000 --- a/deploy/terraform/oke.tf +++ /dev/null @@ -1,131 +0,0 @@ -locals { - cluster_k8s_latest_version = reverse(sort(data.oci_containerengine_cluster_option.oke.kubernetes_versions))[0] - lb_subnet_cidr = "10.22.128.0/27" - workers_subnet_cidr = "10.22.144.0/20" - cp_subnet_cidr = "10.22.0.8/29" - vcn_cidr = "10.22.0.0/16" -} - -module "oke" { - source = "oracle-terraform-modules/oke/oci" - version = "5.2.4" - - tenancy_id = var.tenancy_ocid - compartment_id = var.compartment_ocid - region = var.region - home_region = var.tenancy_ocid - - providers = { - oci = oci - oci.home = oci.home - } - - kubernetes_version = local.cluster_k8s_latest_version - cluster_name = "${local.project_name}-${local.deploy_id}-oke" - vcn_name = "${local.project_name}-${local.deploy_id}-vcn" - - assign_public_ip_to_control_plane = true - control_plane_is_public = true - control_plane_allowed_cidrs = ["0.0.0.0/0"] - - create_bastion = false - create_operator = false - - ssh_private_key_path = var.ssh_private_key_path - ssh_public_key = var.ssh_public_key - - # IAM - Policies - create_iam_autoscaler_policy = "never" - create_iam_kms_policy = "never" - create_iam_operator_policy = "never" - create_iam_worker_policy = "never" - # Network module - VCN - subnets = { - bastion = { - create = "never" - } - operator = { - create = "never" - } - cp = { - create = "always", - cidr = local.cp_subnet_cidr - } - pub_lb = { - create = "always", - cidr = local.lb_subnet_cidr - } - workers = { - create = "always", - cidr = local.workers_subnet_cidr - } - int_lb = { - create = "never" - } - pods = { - create = "never" - } - } - nsgs = { - bastion = { create = "never" } - operator = { create = "never" } - cp = { create = "always" } - int_lb = { create = "never" } - pub_lb = { create = "always" } // never - workers = { create = "always" } - pods = { create = "always" } // never - } - - assign_dns = true - create_vcn = true - vcn_cidrs = [local.vcn_cidr] - vcn_dns_label = "oke" - - # lockdown_default_seclist = true - # allow_rules_public_lb = { - # "Allow TCP ingress to public load balancers for HTTPS traffic from anywhere" : { protocol = 6, port = 443, source = "0.0.0.0/0", source_type = "CIDR_BLOCK" }, - # "Allow TCP ingress to public load balancers for HTTP traffic from anywhere" : { protocol = 6, port = 80, source = "0.0.0.0/0", source_type = "CIDR_BLOCK" } - # } - # Network module - security - # allow_node_port_access = true - # allow_worker_internet_access = true - # allow_worker_ssh_access = true - # enable_waf = false - # load_balancers = "public" - # preferred_load_balancer = "public" - # worker_is_public = false - - # Cluster module - create_cluster = true - cni_type = "npn" - cluster_type = "enhanced" - - pods_cidr = "10.244.0.0/16" - services_cidr = "10.96.0.0/16" - use_signed_images = false - use_defined_tags = false - - # Workers - worker_pool_mode = "node-pool" - worker_pool_size = 2 - - worker_pools = { - node_pool_1 = { - shape = "VM.Standard.E5.Flex", - ocpus = 1, - memory = 32, - boot_volume_size = 120, - create = true - } - } -} - -data "oci_containerengine_cluster_kube_config" "kube_config" { - cluster_id = module.oke.cluster_id -} - - -resource "local_file" "kubeconfig" { - content = data.oci_containerengine_cluster_kube_config.kube_config.content - filename = "${path.module}/generated/kubeconfig" -} diff --git a/deploy/terraform/outputs.tf b/deploy/terraform/outputs.tf deleted file mode 100644 index a1d894e4..00000000 --- a/deploy/terraform/outputs.tf +++ /dev/null @@ -1,36 +0,0 @@ - -output "project" { - value = "${var.project_name}${random_string.deploy_id.result}" -} - -output "db_service" { - value = "${local.project_name}${local.deploy_id}" -} - -output "db_password" { - value = random_password.adb_admin_password.result - sensitive = true -} - -output "kubeconfig" { - value = data.oci_containerengine_cluster_kube_config.kube_config.content - sensitive = true -} - -output "oke_cluster_ocid" { - value = module.oke.cluster_id -} - -output "ocir_user" { - value = oci_identity_user.ocir_user.name -} - -output "ocir_user_token" { - sensitive = true - value = oci_identity_auth_token.ocir_user_auth_token.token -} - -output "ocir_user_email" { - sensitive = false - value = oci_identity_user.ocir_user.email -} \ No newline at end of file diff --git a/deploy/terraform/provider.tf b/deploy/terraform/provider.tf deleted file mode 100644 index 4da8e6a0..00000000 --- a/deploy/terraform/provider.tf +++ /dev/null @@ -1,17 +0,0 @@ -locals { - home_region_key = [for key, value in data.oci_identity_region_subscriptions.region_subscriptions.region_subscriptions: key if value.is_home_region == true][0] - home_region = data.oci_identity_region_subscriptions.region_subscriptions.region_subscriptions[local.home_region_key] -} - -provider "oci" { - tenancy_ocid = var.tenancy_ocid - region = var.region - config_file_profile = var.config_file_profile -} - -provider "oci" { - alias = "home" - tenancy_ocid = var.tenancy_ocid - region = local.home_region.region_name - config_file_profile = var.config_file_profile -} diff --git a/deploy/terraform/random.tf b/deploy/terraform/random.tf deleted file mode 100644 index 14a2bb7e..00000000 --- a/deploy/terraform/random.tf +++ /dev/null @@ -1,5 +0,0 @@ -resource "random_string" "deploy_id" { - length = 2 - special = false - upper = false -} \ No newline at end of file diff --git a/deploy/terraform/storage.tf b/deploy/terraform/storage.tf deleted file mode 100644 index 3321d834..00000000 --- a/deploy/terraform/storage.tf +++ /dev/null @@ -1,22 +0,0 @@ -resource "oci_objectstorage_bucket" "artifacts_bucket" { - compartment_id = var.compartment_ocid - name = "artifacts_${local.project_name}_${local.deploy_id}" - namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace -} - -resource "oci_objectstorage_object" "wallet_object" { - bucket = oci_objectstorage_bucket.artifacts_bucket.name - content = oci_database_autonomous_database_wallet.adb_wallet.content - namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace - object = "wallet.zip.b64" -} - - -resource "oci_objectstorage_preauthrequest" "wallet_par" { - namespace = data.oci_objectstorage_namespace.objectstorage_namespace.namespace - bucket = oci_objectstorage_bucket.artifacts_bucket.name - name = "wallet_par" - access_type = "ObjectRead" - object_name = oci_objectstorage_object.wallet_object.object - time_expires = timeadd(timestamp(), "${var.artifacts_par_expiration_in_days * 24}h") -} \ No newline at end of file diff --git a/deploy/terraform/terraform.tfvars.mustache b/deploy/terraform/terraform.tfvars.mustache deleted file mode 100644 index 9ff68db3..00000000 --- a/deploy/terraform/terraform.tfvars.mustache +++ /dev/null @@ -1,8 +0,0 @@ -region = "{{ regionName }}" -tenancy_ocid = "{{ tenancyId }}" -config_file_profile = "{{ profile }}" -compartment_ocid = "{{ compartmentId }}" -ssh_public_key = "{{{ ssh_public_key }}}" -ssh_private_key_path = "{{{ ssh_private_key_path }}}" -cert_fullchain = "{{{ cert_fullchain }}}" -cert_private_key = "{{{ cert_private_key }}}" \ No newline at end of file diff --git a/deploy/terraform/variables.tf b/deploy/terraform/variables.tf deleted file mode 100644 index ba81c7af..00000000 --- a/deploy/terraform/variables.tf +++ /dev/null @@ -1,42 +0,0 @@ -variable "tenancy_ocid" { - type = string -} - -variable "region" { - type = string - default = "us-chicago-1" -} - -variable "config_file_profile" { - type = string -} - -variable "compartment_ocid" { - type = string -} - -variable "cert_fullchain" { - type = string -} - -variable "cert_private_key" { - type = string -} - -variable "ssh_private_key_path" { - type = string -} - -variable "ssh_public_key" { - type = string -} - -variable "project_name" { - type = string - default = "genai" -} - -variable "artifacts_par_expiration_in_days" { - type = number - default = 7 -} \ No newline at end of file diff --git a/deploy/terraform/versions.tf b/deploy/terraform/versions.tf deleted file mode 100644 index 2c9757dc..00000000 --- a/deploy/terraform/versions.tf +++ /dev/null @@ -1,19 +0,0 @@ -terraform { - required_providers { - oci = { - source = "oracle/oci" - version = "~> 6.30" - configuration_aliases = [oci.home] - } - local = { - source = "hashicorp/local" - version = "~> 2" - # https://registry.terraform.io/providers/hashicorp/local/ - } - random = { - source = "hashicorp/random" - version = "~> 3" - # https://registry.terraform.io/providers/hashicorp/random/ - } - } -} diff --git a/images/Markdown.png b/images/Markdown.png deleted file mode 100644 index 776d0e07f0acce973037a1a7a29165ea66b1a2df..0000000000000000000000000000000000000000 GIT binary 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b/license_policy.yml deleted file mode 100644 index 3e7a1d31..00000000 --- a/license_policy.yml +++ /dev/null @@ -1,25 +0,0 @@ -license_policies: -- license_key: upl-1.0 - label: Approved License - color_code: '#00800' - icon: icon-ok-circle -- license_key: bsd-simplified - label: Approved License - color_code: '#00800' - icon: icon-ok-circle -- license_key: bsd-new - label: Approved License - color_code: '#00800' - icon: icon-ok-circle -- license_key: mit - label: Approved License - color_code: '#00800' - icon: icon-ok-circle -- license_key: apache-1.1 - label: Approved License - color_code: '#00800' - icon: icon-ok-circle -- license_key: apache-2.0 - label: Approved License - color_code: '#00800' - icon: icon-ok-circle diff --git a/release_files.json b/release_files.json deleted file mode 100644 index 19a2bdd5..00000000 --- a/release_files.json +++ /dev/null @@ -1,3 +0,0 @@ -// see https://github.com/oracle-devrel/action-release-zip-maker for docs -[ -] diff --git a/repolinter.json b/repolinter.json deleted file mode 100644 index 762dc26c..00000000 --- a/repolinter.json +++ /dev/null @@ -1,57 +0,0 @@ -{ - "$schema": "https://raw.githubusercontent.com/todogroup/repolinter/master/rulesets/schema.json", - "version": 2, - "axioms": {}, - "rules": { - "readme-file-exists" : { - "level": "error", - "rule": { - "type": "file-existence", - "options": { - "globsAny": ["README*"] - } - } - }, - "disclaimer-present" : { - "level": "error", - "rule": { - "type": "file-contents", - "options": { - "globsAll": ["README*"], - "noCase": true, - "fail-on-non-existent": true, - "content": "ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND" - } - } - }, - "license-file-exists" : { - "level": "error", - "rule": { - "type": "file-existence", - "options": { - "globsAny": ["LICENSE*"] - } - } - }, - "copyright-notice-present" : { - "level": "warning", - "rule": { - "type": "file-starts-with", - "options": { - "globsAll": ["**/*"], - "skip-binary-files": true, - "skip-paths-matching": { - "extensions": ["yaml","yml","md","json","xml","tpl","ipynb","pickle","joblib","properties"], - "patterns": ["\\.github"], - "flags": "" - }, - "lineCount": 2, - "patterns": [ - "Copyright \\([cC]\\) [12][90]\\d\\d(\\-[12][90]\\d\\d)? Oracle and/or its affiliates\\." - ], - "succeed-on-non-exist": true - } - } - } - } -} diff --git a/scripts/clean.mjs b/scripts/clean.mjs deleted file mode 100644 index f70bf214..00000000 --- a/scripts/clean.mjs +++ /dev/null @@ -1,42 +0,0 @@ -#!/usr/bin/env zx -import Configstore from "configstore"; -import clear from "clear"; - -$.verbose = false; - -clear(); -console.log( - "Clean up config files, certs, ssh keys and Object Storage bucket..." -); - -const projectName = "genai"; - -const config = new Configstore(projectName, { projectName }); - -const privateKeyPath = config.get("privateKeyPath"); -await $`rm -f ${privateKeyPath}`; -const publicKeyPath = config.get("publicKeyPath"); -await $`rm -f ${publicKeyPath}`; - -const certPath = path.join(__dirname, "..", ".certs"); -await $`rm -rf ${certPath}`; - -await $`rm -f deploy/k8s/backend/application.yaml`; -await $`rm -f deploy/k8s/overlays/prod/kustomization.yaml`; - -const certsK8sPath = "deploy/k8s/ingress/.certs"; -await $`rm -rf ${certsK8sPath}`; -console.log(`Files in ${chalk.green(certsK8sPath)} deleted`); -const walletK8sPath = "deploy/k8s/backend/wallet"; -await $`rm -rf ${walletK8sPath}`; -console.log(`Files in ${chalk.green(walletK8sPath)} deleted`); - -// TODO delete images pushed -// ${regionKey}.ocir.io/${namespace}/${projectName}/web:${webVersion} -// ${regionKey}.ocir.io/${namespace}/${projectName}/backend:${backendBersion} - -await $`rm -rf ./.artifacts`; -await $`rm -rf ./.certs`; -await $`rm -rf ./deploy/terraform/generated/wallet`; - -config.clear(); diff --git a/scripts/kustom.mjs b/scripts/kustom.mjs deleted file mode 100644 index 0ee898ee..00000000 --- a/scripts/kustom.mjs +++ /dev/null @@ -1,178 +0,0 @@ -#!/usr/bin/env zx -import Configstore from "configstore"; -import clear from "clear"; -import Mustache from "mustache"; -import { parse, stringify } from "yaml"; -import { readFile, writeFile } from "node:fs/promises"; -import { getOutputValues } from "./lib/terraform.mjs"; -import { exitWithError } from "./lib/utils.mjs"; - -$.verbose = false; - -clear(); -console.log("Create kustomization configuration..."); - -const projectName = "genai"; - -const config = new Configstore(projectName, { projectName }); - -const compartmentId = config.get("compartmentId"); -const namespace = config.get("namespace"); -const profile = config.get("profile"); -const regionName = config.get("regionName"); -const regionKey = config.get("regionKey"); -const webVersion = config.get("webVersion"); -const appVersion = config.get("appVersion"); -const backendVersion = config.get("backendVersion"); -const certFullchain = config.get("certFullchain"); -const certPrivateKey = config.get("certPrivateKey"); -const genAiModelChat = config.get("genAiModelChat"); -const genAiModelSummarization = config.get("genAiModelSummarization"); - -const { db_service, db_password } = await getOutputValues("./deploy/terraform"); - -await addProfileToKubeconfig(profile); -await createBackendProperties(); -await createProdKustomization(); -await copyCerts(); -await copyWallet(); - -const namespaceName = "backend"; -await createNamespace(namespaceName); -await createRegistrySecret(); - -async function createBackendProperties() { - const backendPropertiesPath = "deploy/k8s/backend/application.yaml"; - - const backendPropertiesTemplate = await fs.readFile( - `${backendPropertiesPath}.mustache`, - "utf-8" - ); - - const backendPropertiesOutput = Mustache.render(backendPropertiesTemplate, { - db_service: db_service, - db_password: db_password, - path_to_wallet: "/wallet", - region_name: regionName, - compartment_ocid: compartmentId, - genai_model_chat_ocid: genAiModelChat, - genai_model_summarization_ocid: genAiModelSummarization, - }); - - await fs.writeFile(backendPropertiesPath, backendPropertiesOutput); - - console.log(`File ${chalk.green(backendPropertiesPath)} created`); -} - -async function createProdKustomization() { - const prodKustomizationPath = "deploy/k8s/overlays/prod/kustomization.yaml"; - - const prodKustomizationTemplate = await fs.readFile( - `${prodKustomizationPath}.mustache`, - "utf-8" - ); - - const prodKustomizationOutput = Mustache.render(prodKustomizationTemplate, { - region_key: regionKey, - tenancy_namespace: namespace, - project_name: projectName, - app_version: appVersion, - web_version: webVersion, - backend_version: backendVersion, - }); - - await fs.writeFile(prodKustomizationPath, prodKustomizationOutput); - - console.log(`File ${chalk.green(prodKustomizationPath)} created`); -} - -async function copyCerts() { - const ingressCertsPath = "deploy/k8s/ingress/.certs"; - await $`mkdir -p ${ingressCertsPath}`; - await $`cp ${certFullchain} ${ingressCertsPath}/`; - console.log(`File ${chalk.green(certFullchain)} copied`); - await $`cp ${certPrivateKey} ${ingressCertsPath}/`; - console.log(`File ${chalk.green(certPrivateKey)} copied`); -} - -async function copyWallet() { - const backendWalletPath = "deploy/k8s/backend/wallet"; - await $`mkdir -p ${backendWalletPath}`; - const walletSourcePath = "deploy/terraform/generated/wallet.zip"; - await $`cp ${walletSourcePath} ${backendWalletPath}/`; - console.log(`File ${chalk.green(walletSourcePath)} copied`); -} - -async function createNamespace(namespaceName = "default") { - try { - const { exitCode, stdout } = - await $`KUBECONFIG="deploy/terraform/generated/kubeconfig" \ - kubectl create ns ${namespaceName} -o yaml \ - --dry-run=client | \ - KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl apply -f -`; - if (exitCode !== 0) { - exitWithError("namespace not created"); - } else { - console.log( - `Namespace ${chalk.green( - namespaceName - )} created on Kubernetes cluster: ${stdout}` - ); - } - } catch (error) { - exitWithError(error.stderr); - } -} - -async function createRegistrySecret() { - const user = config.get("ocir_user"); - const email = config.get("ocir_user_email"); - const token = config.get("ocir_user_token"); - try { - const { exitCode, stdout } = - await $`KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl \ - create secret docker-registry ocir-secret \ - --save-config \ - --dry-run=client \ - --docker-server=${regionKey}.ocir.io \ - --docker-username=${namespace}/${user} \ - --docker-password=${token} \ - --docker-email=${email} \ - -n ${namespaceName} \ - -o yaml | \ - KUBECONFIG="deploy/terraform/generated/kubeconfig" kubectl apply -f -`; - if (exitCode !== 0) { - exitWithError("docker-registry ocir-secret secret not created"); - } else { - console.log( - `Secret ${chalk.green( - "ocir-secret" - )} created on Kubernetes cluster: ${stdout}` - ); - } - } catch (error) { - exitWithError(error.stderr); - } -} - -async function addProfileToKubeconfig(profile = "DEFAULT") { - if (profile === "DEFAULT") return; - - const kubeconfigPath = "./deploy/terraform/generated/kubeconfig"; - - let yamlContent = await readFile(kubeconfigPath, { - encoding: "utf-8", - }); - - const profileFlag = "--profile"; - const profileValue = profile; - - const kubeconfig = parse(yamlContent); - const execArgs = kubeconfig.users[0].user.exec.args; - kubeconfig.users[0].user.exec.args = [...execArgs, profileFlag, profileValue]; - const newKubeconfigContent = stringify(kubeconfig); - - await writeFile(kubeconfigPath, newKubeconfigContent, { - encoding: "utf-8", - }); -} diff --git a/scripts/lib/README.md b/scripts/lib/README.md deleted file mode 100644 index 52f6eb07..00000000 --- a/scripts/lib/README.md +++ /dev/null @@ -1,286 +0,0 @@ -# OCI ZX Scripts - -## Usage - -From the root folder of your project, download the scripts folder: - -```sh -wget -cO - \ - https://github.com/vmleon/oci-zx-scripts/archive/refs/heads/main.zip > scripts.zip \ - && unzip scripts.zip -d scripts \ - && rm scripts.zip \ - && mv scripts/oci-zx-scripts-main scripts/lib -``` - -## Example - -Create a `setenv.mjs` script to prepare environment: - -```sh -touch scripts/setenv.mjs -``` - -Use the following example: - -```js -#!/usr/bin/env zx - -import { getNamespace } from "./lib/oci.mjs"; -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -console.log("Check fake dependencies..."); -const dependencies = ["git", "unzip"]; -const namespace = await getNamespace(); -console.log(namespace); -``` - -Run the script: - -```sh -npx zx scripts/setenv.mjs -``` - -## Create new functions - -```javascript -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function example() { - try { - const { stdout, exitCode, stderr } = await $`pwd`; - if (exitCode !== 0) { - exitWithError(stderr); - } - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} -``` - -## Get Region example - -```javascript -import { getRegions } from "./lib/oci.mjs"; -import { setVariableFromEnvOrPrompt, printRegionNames } from "./lib/utils.mjs"; - -const regions = await getRegions(); -const regionName = await setVariableFromEnvOrPrompt( - "OCI_REGION", - "OCI Region name", - async () => printRegionNames(regions) -); -const { key } = regions.find((r) => r.name === regionName); -const url = `${key}.ocir.io`; -console.log(url); -``` - -## Release Example - -```javascript -#!/usr/bin/env zx -import { - getVersion, - getNamespace, - printRegionNames, - setVariableFromEnvOrPrompt, -} from "./lib/utils.mjs"; -import { buildImage, tagImage, pushImage } from "./lib/container.mjs"; -import { buildWeb } from "./lib/npm.mjs"; -import { - buildJarGradle, - cleanGradle, - getVersionGradle, -} from "./lib/gradle.mjs"; -import { getRegions } from "./lib/oci.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -const { a, _ } = argv; -const [action] = _; - -const project = "project_name"; -const namespace = await getNamespace(); - -const regions = await getRegions(); -const regionName = await setVariableFromEnvOrPrompt( - "OCI_REGION", - "OCI Region name", - () => printRegionNames(regions) -); -const { key } = regions.find((r) => r.name === regionName); -const ocirUrl = `${key}.ocir.io`; - -if (action === "web") { - await releaseNpm("web"); - process.exit(0); -} - -if (action === "backend") { - await releaseGradle("backend"); - process.exit(0); -} - -if (a || action === "all") { - await releaseNpm("web"); - await releaseGradle("backend"); - process.exit(0); -} - -console.log("Usage:"); -console.log("\tnpx zx scripts/release.mjs all"); -console.log("\tnpx zx scripts/release.mjs -a"); -console.log("\tnpx zx scripts/release.mjs web"); -console.log("\tnpx zx scripts/release.mjs backend"); - -async function releaseNpm(service) { - await cd(service); - const currentVersion = await getVersion(); - if (service === "web") { - await buildWeb(); - } - const image_name = `${project}/${service}`; - await buildImage(`localhost/${image_name}`, currentVersion); - const local_image = `localhost/${image_name}:${currentVersion}`; - const remote_image = `${ocirUrl}/${namespace}/${image_name}:${currentVersion}`; - await tagImage(local_image, remote_image); - await pushImage(remote_image); - console.log(`Released: ${chalk.yellow(remote_image)}`); - await cd(".."); -} -async function releaseGradle(service) { - await cd(service); - await cleanGradle(); - await buildJarGradle(); - const currentVersion = await getVersionGradle(); - const image_name = `${project}/${service}`; - await buildImage(`localhost/${image_name}`, currentVersion); - const local_image = `localhost/${image_name}:${currentVersion}`; - const remote_image = `${ocirUrl}/${namespace}/${image_name}:${currentVersion}`; - await tagImage(local_image, remote_image); - await pushImage(remote_image); - console.log(`Released: ${chalk.yellow(remote_image)}`); - await cd(".."); -} -``` - -## Create RSA - -```javascript -#!/usr/bin/env zx - -import { getUserId, uploadApiKeyFile } from "./lib/oci.mjs"; -import { createRSAKeyPair } from "./lib/tls.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -async function createUserDetails() { - console.log("Generate RSA key pair..."); - - const userId = await getUserId(); - - properties = { - ...properties, - userId, - }; - - const rsaPath = "./.rsa"; - const prevKeyExists = await fs.pathExists(path.join(rsaPath, "rsa.pem")); - if (prevKeyExists) { - console.log(`${chalk.yellow("Existing RSA key pair ")} on ${rsaPath}.`); - } else { - await createRSAKeyPair(rsaPath); - const apikeyFingerprint = await uploadApiKeyFile( - userId, - path.join(rsaPath, "rsa_public.pem") - ); - properties = { ...properties, rsaPath, apikeyFingerprint }; - } - console.log(); -} -``` - -## Use .env.json - -```javascript -#!/usr/bin/env zx - -import { - getNamespace, - writeEnvJson, - generateRandomString, - readEnvJson, -} from "./lib/utils.mjs"; -import { getTenancyId } from "./lib/oci.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -let properties = await readEnvJson(); - -const namespace = await getNamespace(); -const tenancyId = await getTenancyId(); -properties = { ...properties, namespace, tenancyId }; -await writeEnvJson(properties); - -const generatedPassword = await generateRandomString(); -properties = { ...properties, generatedPassword }; - -await writeEnvJson(properties); -``` - -```javascript -#!/usr/bin/env zx - -import { readEnvJson } from "./lib/utils.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -const { namespace } = await readEnvJson(); -``` - -```javascript -#!/usr/bin/env zx - -import { setVariableFromEnvOrPrompt } from "./lib/utils.mjs"; -import { searchCompartmentIdByName } from "./lib/oci.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -const compartmentName = await setVariableFromEnvOrPrompt( - "COMPARTMENT_NAME", - "Compartment Name (root)" -); - -const compartmentId = await searchCompartmentIdByName( - compartmentName || "root" -); -``` - -## Read Terraform Output - -```javascript -#!/usr/bin/env zx - -import { getOutputValues } from "./lib/terraform.mjs"; - -const shell = process.env.SHELL | "/bin/zsh"; -$.shell = shell; -$.verbose = false; - -const tfOutput = await getOutputValues("./terraform"); - -console.log(tfOutput); -``` diff --git a/scripts/lib/container.mjs b/scripts/lib/container.mjs deleted file mode 100644 index 4d66a547..00000000 --- a/scripts/lib/container.mjs +++ /dev/null @@ -1,74 +0,0 @@ -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function whichContainerEngine() { - try { - const dockerPath = await which("docker"); - return !dockerPath ? "podman" : "docker"; - } catch (err) { - return "podman"; - } -} - -const ce = await whichContainerEngine(); - -export async function checkPodmanMachineRunning() { - if (ce === "podman") { - const isMachineRunning = ( - await $`podman machine info --format {{.Host.MachineState}}` - ).stdout.trim(); - if (isMachineRunning === "Stopped") { - console.log( - `Run ${chalk.yellow("podman machine start")} before continue` - ); - exitWithError("Podman machine stopped"); - } else { - console.log(`${chalk.green("[ok]")} podman machine running`); - } - } -} - -export async function containerLogin(namespace, user, token, url) { - try { - const { stdout, stderr, exitCode } = - await $`${ce} login -u ${namespace}/${user} -p ${token} ${url}`; - if (exitCode == 0) { - console.log(`${chalk.yellow(url)}: ${chalk.green(stdout.trim())}`); - } else { - console.error(chalk.red(stderr.trim())); - } - } catch (error) { - console.error(chalk.red(error.stderr.trim())); - const yellowUserString = chalk.yellow(user); - exitWithError( - `Review the user ${yellowUserString} and token pair, and try again.` - ); - } -} - -export async function tagImage(local, remote) { - console.log(`${ce} tag ${local} ${remote}`); - try { - await $`${ce} tag ${local} ${remote}`; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function pushImage(remote) { - console.log(`${ce} push ${remote}`); - try { - await $`${ce} push ${remote}`; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function buildImage(name, version) { - console.log(`${ce} build . -t ${name}:${version}`); - try { - await $`${ce} build . -t ${name}:${version}`; - } catch (error) { - exitWithError(error.stderr); - } -} diff --git a/scripts/lib/crypto.mjs b/scripts/lib/crypto.mjs deleted file mode 100644 index c7db7037..00000000 --- a/scripts/lib/crypto.mjs +++ /dev/null @@ -1,60 +0,0 @@ -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function createSelfSignedCert(outputPath = ".") { - await $`mkdir -p ${outputPath}`; - const keyPath = path.normalize(path.join(outputPath, "tls.key")); - const certPath = path.normalize(path.join(outputPath, "tls.crt")); - try { - await $`openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout ${keyPath} -out ${certPath} -subj "/CN=nginxsvc/O=nginxsvc"`; - console.log(`Cert Key created: ${chalk.green(keyPath)}`); - console.log(`Cert created: ${chalk.green(certPath)}`); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function generateRandomString(length = 20) { - if (length < 12) { - exitWithError("Password length too short, >= 12 required"); - } - try { - const output = (await $`openssl rand -base64 ${length + 15}`).stdout.trim(); - if (output.length) { - const cleanPassword = output - .replaceAll("/", "") - .replaceAll("\\", "") - .replaceAll("=", ""); - return cleanPassword.slice(0, length); - } else { - exitWithError("random string generation failed"); - } - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function createRSAKeyPair(outputPath = ".") { - await $`mkdir -p ${outputPath}`; - const privateKeyPath = path.normalize(path.join(outputPath, "rsa.pem")); - const publicKeyPath = path.normalize(path.join(outputPath, "rsa_public.pem")); - try { - await $`openssl genrsa -out ${privateKeyPath} 2048`; - console.log(`RSA Private Key written to: ${chalk.yellow(privateKeyPath)}`); - await $`openssl rsa -in ${privateKeyPath} -outform PEM -pubout -out ${publicKeyPath}`; - console.log(`RSA Public Key written to: ${chalk.yellow(publicKeyPath)}`); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function createSSHKeyPair(sshPathParam) { - const defaultSSHPath = path.join(os.homedir(), ".ssh", "id_rsa"); - const sshPath = sshPathParam || defaultSSHPath; - try { - await $`ssh-keygen -t rsa -b 4096 -f ${sshPath} -q -N "" << c.current); - if (currentContext.name === contextName) { - console.log(chalk.green(`Context ${contextName} already in use.`)); - return; - } - console.log(chalk.yellow(`fn use context ${contextName}`)); - try { - const { stdout, exitCode, stderr } = await $`fn use context ${contextName}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(chalk.green(`Context ${contextName} in use.`)); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function setFnProfileName(profileName = "DEFAULT") { - console.log(chalk.yellow(`fn update context oracle.profile ${profileName}`)); - try { - const { stdout, exitCode, stderr } = - await $`fn update context oracle.profile ${profileName}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(chalk.green(`Profile ${profileName} set.`)); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function setFnCompartment(compartmentId) { - if (!compartmentId) { - exitWithError("Compartment OCID required"); - } - console.log( - chalk.yellow(`fn update context oracle.compartment-id ${compartmentId}`) - ); - try { - const { stdout, exitCode, stderr } = - await $`fn update context oracle.compartment-id ${compartmentId}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(chalk.green(`Compartment ${compartmentId} set.`)); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function setFnApiUrl(regionKey) { - if (!regionKey) { - exitWithError("Region key required"); - } - console.log( - chalk.yellow( - `fn update context api-url https://functions.${regionKey}.oci.oraclecloud.com` - ) - ); - try { - const { stdout, exitCode, stderr } = - await $`fn update context api-url https://functions.${regionKey}.oci.oraclecloud.com`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log( - chalk.green( - `API URL https://functions.${regionKey}.oci.oraclecloud.com set.` - ) - ); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function setFnRegistry(regionKey, namespace, repoNamePrefix) { - if (!regionKey) { - exitWithError("Region key required"); - } - if (!namespace) { - exitWithError("Namespace required"); - } - if (!repoNamePrefix) { - exitWithError("Repo name Prefix required"); - } - console.log( - chalk.yellow( - `fn update context registry ${regionKey}.ocir.io/${namespace}/${repoNamePrefix}` - ) - ); - try { - const { stdout, exitCode, stderr } = - await $`fn update context registry ${regionKey}.ocir.io/${namespace}/${repoNamePrefix}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log( - chalk.green( - `Registry ${regionKey}.ocir.io/${namespace}/${repoNamePrefix} set.` - ) - ); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function setFnRegistryCompartment(compartmentId) { - if (!compartmentId) { - exitWithError("Compartment OCID required"); - } - console.log( - chalk.yellow( - `fn update context oracle.image-compartment-id ${compartmentId}` - ) - ); - try { - const { stdout, exitCode, stderr } = - await $`fn update context oracle.image-compartment-id ${compartmentId}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(chalk.green(`Registry compartment ${compartmentId} set.`)); - return stdout.trim(); - } catch (error) { - exitWithError(error.stderr); - } -} diff --git a/scripts/lib/gradle.mjs b/scripts/lib/gradle.mjs deleted file mode 100644 index 40ca2843..00000000 --- a/scripts/lib/gradle.mjs +++ /dev/null @@ -1,70 +0,0 @@ -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function bumpGradle(level = "patch") { - const oldVersion = await getVersionGradle(); - let [major, minor, patch] = oldVersion.split(".").map((n) => parseInt(n)); - let newVersion; - switch (level) { - case "patch": - newVersion = `${major}.${minor}.${patch + 1}`; - break; - case "minor": - newVersion = `${major}.${minor + 1}.${0}`; - break; - case "major": - newVersion = `${major + 1}.${0}.${0}`; - break; - default: - console.log("No version bump"); - break; - } - try { - const { exitCode, stderr } = - await $`sed -I -e '/^version/s/${oldVersion}/${newVersion}/g' build.gradle`; - if (exitCode !== 0) { - exitWithError(stderr); - } - return newVersion; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function getVersionGradle() { - try { - const { stdout, exitCode, stderr } = - await $`grep "version = " build.gradle`; - if (exitCode !== 0) { - exitWithError(stderr); - } - const version = stdout.trim().split("version = ")[1].replaceAll("'", ""); - return version; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function cleanGradle() { - try { - const { stdout, exitCode, stderr } = await $`./gradlew clean`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(stdout.trim()); - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function buildJarGradle() { - try { - const { stdout, exitCode, stderr } = await $`./gradlew bootJar`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(stdout.trim()); - } catch (error) { - exitWithError(error.stderr); - } -} diff --git a/scripts/lib/npm.mjs b/scripts/lib/npm.mjs deleted file mode 100644 index c4cde29f..00000000 --- a/scripts/lib/npm.mjs +++ /dev/null @@ -1,46 +0,0 @@ -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function getNpmVersion() { - const { version } = await fs.readJson("./package.json"); - return version; -} - -export async function bump(level = "patch") { - try { - let newVersion; - switch (level) { - case "patch": - newVersion = (await $`npm version patch`).stdout.trim(); - console.log(`New version: ${newVersion}`); - break; - case "minor": - newVersion = (await $`npm version minor`).stdout.trim(); - console.log(`New version: ${newVersion}`); - break; - case "major": - newVersion = (await $`npm version major`).stdout.trim(); - console.log(`New version: ${newVersion}`); - break; - - default: - console.log("No version bump"); - break; - } - return newVersion; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function buildWeb() { - try { - console.log(`Install dependencies`); - await $`npm install`; - console.log(`Build static content`); - const output = (await $`npm run build`).stdout.trim(); - console.log(output); - } catch (error) { - exitWithError(error.stderr); - } -} diff --git a/scripts/lib/oci.mjs b/scripts/lib/oci.mjs deleted file mode 100644 index 2533cae8..00000000 --- a/scripts/lib/oci.mjs +++ /dev/null @@ -1,415 +0,0 @@ -#!/usr/bin/env zx -import moment from "moment"; -import { exitWithError } from "./utils.mjs"; -import { where, max, sortBy } from "underscore"; - -export async function getRegions(profile = "DEFAULT", tenancyId) { - try { - const output = ( - await $`oci iam region-subscription list \ - --tenancy-id ${tenancyId} \ - --profile ${profile}` - ).stdout.trim(); - const { data } = JSON.parse(output); - return data - .filter((r) => r.status === "READY") - .map((r) => ({ - key: r["region-key"].toLowerCase(), - name: r["region-name"], - isHomeRegion: r["is-home-region"], - })); - } catch (error) { - exitWithError(`Error: get regions ${error.message}`); - } -} - -export async function getNamespace(profile) { - const output = (await $`oci os ns get --profile ${profile}`).stdout.trim(); - const { data } = JSON.parse(output); - return data; -} - -export async function listAdbDatabases(compartmentId) { - try { - const { stdout, exitCode, stderr } = - await $`oci db autonomous-database list --all --compartment-id ${compartmentId}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) return []; - return JSON.parse(stdout.trim()).data; - } catch (error) { - exitWithError(`Error: download wallet ${error.stderr}`); - } -} - -export async function downloadAdbWallet(adbId, walletFilePath, walletPassword) { - try { - const { exitCode, stderr } = - await $`oci db autonomous-database generate-wallet \ - --autonomous-database-id ${adbId} \ - --file ${walletFilePath} \ - --password ${walletPassword}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - console.log(`Wallet downloaded on ${chalk.green(walletFilePath)}`); - } catch (error) { - exitWithError(`Error: download wallet ${error.stderr}`); - } -} - -export async function getAvailableShapes(options = {}) { - try { - const output = ( - await $`oci compute shape list --compartment-id ${await getTenancyId()}` - ).stdout.trim(); - const { data } = JSON.parse(output); - const { type = "*", flex, includeOld = false } = options; - return data - .filter((shape) => { - if (shape.shape.includes("Standard1.")) return false; - return true; - }) - .filter((shape) => { - if (type === "*") return true; - if (type === "bm") return shape.shape.startsWith("BM."); - if (type === "vm") return shape.shape.startsWith("VM."); - }) - .filter((shape) => { - if (flex === undefined) return true; - return flex - ? shape.shape.endsWith(".Flex") - : !shape.shape.endsWith(".Flex"); - }) - .sort((s1, s2) => { - return s1.shape.localeCompare(s2.shape); - }); - } catch (error) { - exitWithError(`Error: get available shapes ${error.message}`); - } -} - -export async function getTenancyId() { - const tenancyIdEnv = process.env.OCI_TENANCY; - const tenancyId = tenancyIdEnv - ? tenancyIdEnv - : await question("OCI tenancy: "); - return tenancyId; -} - -export async function searchCompartmentIdByName( - profile = "DEFAULT", - compartmentName -) { - if (!compartmentName) { - exitWithError("Compartment name required"); - } - if (compartmentName === "root") { - return getTenancyId(); - } - try { - const { stdout, exitCode, stderr } = await $`oci iam compartment list \ - --compartment-id-in-subtree true \ - --name ${compartmentName} \ - --profile=${profile} \ - --query "data[].id"`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) { - exitWithError("Compartment name not found"); - } - const compartmentId = JSON.parse(stdout.trim())[0]; - return compartmentId; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function uploadApiKeyFile(userId, publicKeyPath) { - if (!userId) { - exitWithError("User ID required"); - } - if (!publicKeyPath) { - exitWithError("Public RSA key required"); - } - const rsaPublicKeyExists = await fs.pathExists(publicKeyPath); - if (!rsaPublicKeyExists) { - exitWithError(`RSA Public key ${publicKeyPath} does not exists`); - } - try { - const { stdout, exitCode, stderr } = - await $`oci iam user api-key upload --user-id ${userId} --key-file ${publicKeyPath}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) { - exitWithError("Compartment name not found"); - } - const { fingerprint } = JSON.parse(stdout.trim()).data; - return fingerprint; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function getUserId() { - const userIdEnv = process.env.OCI_CS_USER_OCID; - if (userIdEnv) { - return userIdEnv; - } - const userEmail = await question("OCI User email: "); - const { stdout, exitCode, stderr } = await $`oci iam user list --all`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) { - exitWithError("User name not found"); - } - const data = JSON.parse(stdout.trim()).data; - const userFound = data.find((user) => user.email === userEmail); - if (!userFound) { - exitWithError(`User ${userEmail} not found`); - } - return userFound.id; -} - -export async function createBucket(compartmentId, name) { - if (!compartmentId) { - exitWithError(`Compartment Id required to create bucket`); - } - if (!name) { - exitWithError(`Name required to create bucket`); - } - const namespace = await getNamespace(); - try { - const { stdout, exitCode, stderr } = await $`oci os bucket create \ - --namespace-name ${namespace} \ - --compartment-id ${compartmentId} \ - --name ${name}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - const { fingerprint } = JSON.parse(stdout.trim()).data; - return fingerprint; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function deleteBucket(name) { - if (!name) { - exitWithError(`Name required to create bucket`); - } - const namespace = await getNamespace(); - try { - const { exitCode, stderr } = await $`oci os bucket delete \ - --bucket-name ${name} \ - --namespace-name ${namespace} \ - --empty --force`; - if (exitCode !== 0) { - exitWithError(stderr); - } - return; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function putObject(bucketName, objectName, filePath) { - if (!bucketName) { - exitWithError(`Bucket name required to put an object`); - } - if (!objectName) { - exitWithError(`Object name required to put an object`); - } - if (!filePath) { - exitWithError(`File path required to put an object`); - } - const namespace = await getNamespace(); - try { - const { exitCode, stderr } = await $`oci os object put \ - --force --name ${objectName} \ - -bn ${bucketName} -ns ${namespace} \ - --file ${filePath}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - return; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function createPARObject(bucketName, objectName, expiration) { - if (!bucketName) { - exitWithError(`Bucket name required to create a PAR`); - } - if (!objectName) { - exitWithError(`Object name required to create a PAR`); - } - if (!expiration) { - exitWithError(`RFC 3339 expiration required to create a PAR`); - } - const namespace = await getNamespace(); - - try { - const { stdout, exitCode, stderr } = await $`oci os preauth-request create \ - --bucket-name ${bucketName} \ - --namespace-name ${namespace} \ - --name ${objectName}_par \ - --access-type ObjectRead \ - --time-expires "${expiration}" \ - --object-name ${objectName}`; - if (exitCode !== 0) { - exitWithError(stderr); - } - const fullPath = JSON.parse(stdout.trim()).data["full-path"]; - return fullPath; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function listPARs(bucketName) { - if (!bucketName) { - exitWithError(`Bucket name required to list PARs`); - } - const namespace = await getNamespace(); - try { - const { stdout, exitCode, stderr } = await $`oci os preauth-request list \ - --bucket-name ${bucketName} \ - --namespace-name ${namespace} \ - --all`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) return []; - const pars = JSON.parse(stdout.trim()).data; - return pars; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function deletePAR(bucketName, id) { - if (!bucketName) { - exitWithError(`Bucket name required to delete a PAR`); - } - if (!id) { - exitWithError(`PAR id required to delete a PAR`); - } - const namespace = await getNamespace(); - try { - const { exitCode, stderr } = await $`oci os preauth-request delete \ - --bucket-name ${bucketName} \ - --namespace-name ${namespace} \ - --par-id ${id} --force`; - if (exitCode !== 0) { - exitWithError(stderr); - } - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function listBuckets(compartmentId) { - if (!compartmentId) { - exitWithError(`Compartment Id required to create bucket`); - } - const namespace = await getNamespace(); - try { - const { stdout, exitCode, stderr } = await $`oci os bucket list \ - --compartment-id ${compartmentId} \ - --namespace-name ${namespace} \ - --all`; - if (exitCode !== 0) { - exitWithError(stderr); - } - if (!stdout.length) return []; - const compartmentList = JSON.parse(stdout.trim()).data; - return compartmentList; - } catch (error) { - exitWithError(error.stderr); - } -} - -export async function getBucket(compartmentId, name) { - if (!compartmentId) { - exitWithError(`Compartment Id required to create bucket`); - } - if (!name) { - exitWithError(`Name required to create bucket`); - } - const listBucket = await listBuckets(compartmentId); - return listBucket.find((b) => b.name === name); -} - -export async function getLatestGenAIModels( - profile, - compartmentId, - regionName, - vendor = "cohere", - capability = "TEXT_GENERATION" -) { - if (!compartmentId) { - exitWithError(`Compartment Id required to get GenAI models`); - } - if (!regionName) { - exitWithError(`Region name required to get GenAI models`); - } - - try { - const { stdout, stderr, exitCode } = - await $`oci generative-ai model-collection list-models \ - --profile ${profile} \ - --compartment-id ${compartmentId} \ - --region ${regionName}`; - - if (exitCode !== 0) { - exitWithError(stderr); - } - - if (!stdout.length) return {}; - const { data } = JSON.parse(stdout.trim()); - - const activeCohereModels = where(data.items, { - "lifecycle-state": "ACTIVE", - vendor: vendor, - "is-long-term-supported": true, - }); - - const modelsCleaned = activeCohereModels.map((e) => { - const creationTimeInMillis = moment(e["time-created"]).valueOf(); - return { - id: e.id, - "display-name": e["display-name"], - capabilities: e.capabilities, - vendor: e.vendor, - version: e.version, - type: e.type, - "is-long-term-supported": e["is-long-term-supported"], - "lifecycle-state": e["lifecycle-state"], - "time-created": e["time-created"], - creationTimeInMillis, - }; - }); - const sortedByCreationTime = sortBy(modelsCleaned, [ - "creationTimeInMillis", - ]); - - const filteredByCapatility = sortedByCreationTime.filter((model) => { - const { capabilities } = model; - if (capabilities.length !== 1) return false; - if (capabilities[0] !== capability) return false; - return true; - }); - - const latestVersion = max(filteredByCapatility, (item) => - parseFloat(item.version) - ); - - return latestVersion; - } catch (error) {} -} diff --git a/scripts/lib/terraform.mjs b/scripts/lib/terraform.mjs deleted file mode 100644 index 5c7e6e09..00000000 --- a/scripts/lib/terraform.mjs +++ /dev/null @@ -1,23 +0,0 @@ -#!/usr/bin/env zx -import { exitWithError } from "./utils.mjs"; - -export async function getOutputValues(terraformPath = "") { - const tfOutputPathExists = await fs.pathExists(terraformPath); - if (!tfOutputPathExists) exitWithError("Terraform path doesn't exist"); - - const { stdout: stdoutPwd } = await $`pwd`; - const currentPath = stdoutPwd.trim(); - await cd(path.normalize(terraformPath)); - - const { stdout } = await $`terraform output -json`; - const terraformOutput = JSON.parse(stdout); - - const values = {}; - for (const [key, content] of Object.entries(terraformOutput)) { - values[key] = content.value; - } - - await cd(currentPath); - - return values; -} diff --git a/scripts/lib/utils.mjs b/scripts/lib/utils.mjs deleted file mode 100644 index 5de87aa5..00000000 --- a/scripts/lib/utils.mjs +++ /dev/null @@ -1,78 +0,0 @@ -#!/usr/bin/env zx - -export async function readEnvJson() { - const envFilePath = ".env.json"; - const envFileExists = await fs.pathExists(envFilePath); - if (envFileExists) { - return fs.readJson(envFilePath); - } - return writeEnvJson({}); -} - -export async function writeEnvJson(properties) { - const envFilePath = ".env.json"; - await fs.writeJson(envFilePath, properties, { spaces: 2 }); - return properties; -} - -export async function validateBumpLevel(level) { - if (!["major", "minor", "patch"].includes(level)) { - exitWithError("Error: release version must be 'major', 'minor' or 'patch'"); - } - return level; -} - -export async function printRegionNames(regions) { - console.log("printRegionNames"); - const regionsByZone = regions.reduce((acc, cur) => { - const zone = cur.name.split("-")[0]; - if (acc[zone]) { - acc[zone].push(cur.name); - } else { - acc[zone] = [cur.name]; - } - return acc; - }, {}); - Object.keys(regionsByZone).forEach((zone) => - console.log(`\t${chalk.yellow(zone)}: ${regionsByZone[zone].join(", ")}`) - ); -} - -export async function getRegionByKey(code = "fra") { - const output = (await $`oci iam region list`).stdout.trim(); - const { data } = JSON.parse(output); - return data.find((r) => code.toUpperCase() === r.key); -} - -export async function setVariableFromEnvOrPrompt( - envKey, - questionText, - printChoices -) { - const envValue = process.env[envKey]; - if (envValue) { - return envValue; - } else { - if (printChoices) { - printChoices(); - } - const answer = await question(`${questionText}: `); - return answer; - } -} - -export async function exitWithError(errorMessage = "") { - console.error(chalk.red(errorMessage.trim())); - process.exit(1); -} - -export async function checkRequiredProgramsExist(programs) { - try { - for (let program of programs) { - await which(program); - console.log(`${chalk.green("[ok]")} ${program}`); - } - } catch (error) { - exitWithError(`Error: Required command ${error.message}`); - } -} diff --git a/scripts/package-lock.json b/scripts/package-lock.json deleted file mode 100644 index 7ebe3226..00000000 --- a/scripts/package-lock.json +++ /dev/null @@ -1,975 +0,0 @@ -{ - "name": "scripts", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "scripts", - "version": "1.0.0", - "license": "ISC", - "dependencies": { - "clear": "^0.1.0", - "configstore": "^6.0.0", - "ini": "^4.1.3", - "inquirer": "^9.2.19", - "moment": "^2.30.1", - "mustache": "^4.2.0", - "underscore": "^1.13.6", - "yaml": "^2.5.0", - "zx": "^8.1.4" - } - }, - "node_modules/@inquirer/figures": { - "version": "1.0.1", - "resolved": "https://registry.npmjs.org/@inquirer/figures/-/figures-1.0.1.tgz", - 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"version": "1.0.0", - "description": "", - "main": "index.js", - "directories": { - "lib": "lib" - }, - "scripts": { - "test": "echo \"Error: no test specified\" && exit 1" - }, - "author": "", - "license": "ISC", - "dependencies": { - "clear": "^0.1.0", - "configstore": "^6.0.0", - "ini": "^4.1.3", - "inquirer": "^9.2.19", - "moment": "^2.30.1", - "mustache": "^4.2.0", - "underscore": "^1.13.6", - "yaml": "^2.5.0", - "zx": "^8.1.4" - } -} diff --git a/scripts/release.mjs b/scripts/release.mjs deleted file mode 100644 index 83a699c3..00000000 --- a/scripts/release.mjs +++ /dev/null @@ -1,100 +0,0 @@ -#!/usr/bin/env zx -import Configstore from "configstore"; -import clear from "clear"; -import { - buildJarGradle, - cleanGradle, - getVersionGradle, -} from "./lib/gradle.mjs"; -import { getNpmVersion } from "./lib/npm.mjs"; -import { - buildImage, - tagImage, - pushImage, - checkPodmanMachineRunning, - containerLogin, -} from "./lib/container.mjs"; -import { getOutputValues } from "./lib/terraform.mjs"; - -$.verbose = false; - -clear(); -console.log("Release latest backend and web version..."); - -const projectName = "genai"; - -const config = new Configstore(projectName, { projectName }); - -const namespace = config.get("namespace"); -const regionKey = config.get("regionKey"); - -const pwdOutput = (await $`pwd`).stdout.trim(); -await cd(`${pwdOutput}/web`); -const webVersion = await getNpmVersion(); -config.set("webVersion", webVersion); -await cd(`${pwdOutput}/app`); -const appVersion = await getNpmVersion(); -config.set("appVersion", appVersion); -await cd(`${pwdOutput}/backend`); -const backendVersion = await getVersionGradle(); -config.set("backendVersion", backendVersion); -await cd(pwdOutput); - -await checkPodmanMachineRunning(); - -const ocirUrl = `${regionKey}.ocir.io`; - -// FIXME use OCI Vault for the token -const { ocir_user, ocir_user_token, ocir_user_email } = await getOutputValues( - "./deploy/terraform" -); -config.set("ocir_user", ocir_user); -config.set("ocir_user_email", ocir_user_email); -config.set("ocir_user_token", ocir_user_token); - -await containerLogin(namespace, ocir_user, ocir_user_token, ocirUrl); -await releaseWeb(); -await releaseApp(); -await releaseBackend(); - -async function releaseWeb() { - const service = "web"; - await cd(service); - const imageName = `${projectName}/${service}`; - await buildImage(`localhost/${imageName}`, webVersion); - const localImage = `localhost/${imageName}:${webVersion}`; - const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${webVersion}`; - await tagImage(localImage, remoteImage); - await pushImage(remoteImage); - console.log(`${chalk.green(remoteImage)} pushed`); - await cd(".."); -} - -async function releaseApp() { - const service = "app"; - await cd(service); - const imageName = `${projectName}/${service}`; - await buildImage(`localhost/${imageName}`, appVersion); - const localImage = `localhost/${imageName}:${appVersion}`; - const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${appVersion}`; - await tagImage(localImage, remoteImage); - await pushImage(remoteImage); - console.log(`${chalk.green(remoteImage)} pushed`); - await cd(".."); -} - -async function releaseBackend() { - const service = "backend"; - await cd(service); - await cleanGradle(); - await buildJarGradle(); - const currentVersion = await getVersionGradle(); - const imageName = `${projectName}/${service}`; - await buildImage(`localhost/${imageName}`, currentVersion); - const localImage = `localhost/${imageName}:${currentVersion}`; - const remoteImage = `${ocirUrl}/${namespace}/${imageName}:${currentVersion}`; - await tagImage(localImage, remoteImage); - await pushImage(remoteImage); - console.log(`${chalk.green(remoteImage)} pushed`); - await cd(".."); -} diff --git a/scripts/setenv.mjs b/scripts/setenv.mjs deleted file mode 100644 index 71837930..00000000 --- a/scripts/setenv.mjs +++ /dev/null @@ -1,191 +0,0 @@ -#!/usr/bin/env zx -import moment from "moment"; -import { readFile } from "node:fs/promises"; -import { parse as iniParse } from "ini"; -import Configstore from "configstore"; -import inquirer from "inquirer"; -import clear from "clear"; -import { - getLatestGenAIModels, - getNamespace, - getRegions, - searchCompartmentIdByName, -} from "./lib/oci.mjs"; -import { createSSHKeyPair, createSelfSignedCert } from "./lib/crypto.mjs"; - -$.verbose = false; - -clear(); -console.log("Set up environment..."); - -const projectName = "genai"; - -const config = new Configstore(projectName, { projectName }); - -await selectProfile(); -const profile = config.get("profile"); -const tenancyId = config.get("tenancyId"); - -await setNamespaceEnv(); -await setRegionEnv(); -const regionName = config.get("regionName"); -await setCompartmentEnv(); -const compartmentId = config.get("compartmentId"); - -await createSSHKeys(projectName); -await createCerts(); -await setLatestGenAIModelChat(); -await setLatestGenAIModelSummarization(); - -console.log(`\nConfiguration file saved in: ${chalk.green(config.path)}`); - -async function selectProfile() { - let ociConfigFile = await readFile(`${os.homedir()}/.oci/config`, { - encoding: "utf-8", - }); - - const ociConfig = iniParse(ociConfigFile); - const profileList = Object.keys(ociConfig); - - if (profileList.length === 1) { - config.set("profile", profileList[0]); - config.set("tenancyId", ociConfig[profileList[0]].tenancy); - } else { - await inquirer - .prompt([ - { - type: "list", - name: "profile", - message: "Select the OCI Config Profile", - choices: profileList, - }, - ]) - .then((answers) => { - config.set("profile", answers.profile); - config.set("tenancyId", ociConfig[answers.profile].tenancy); - }); - } -} - -async function setNamespaceEnv() { - const namespace = await getNamespace(profile); - config.set("namespace", namespace); -} - -async function setRegionEnv() { - const listSubscribedRegions = (await getRegions(profile, tenancyId)).sort( - (r1, r2) => r1.isHomeRegion > r2.isHomeRegion - ); - - const listWithGenAISupportingRegions = listSubscribedRegions.filter( - (r) => r.key === "ord" - ); - - if (listWithGenAISupportingRegions.length === 1) { - config.set("regionName", listWithGenAISupportingRegions[0].name); - config.set("regionKey", listWithGenAISupportingRegions[0].key); - } else { - await inquirer - .prompt([ - { - type: "list", - name: "region", - message: "Select the region", - choices: listWithGenAISupportingRegions.map((r) => r.name), - filter(val) { - return listWithGenAISupportingRegions.find((r) => r.name === val); - }, - }, - ]) - .then((answers) => { - config.set("regionName", answers.region.name); - config.set("regionKey", answers.region.key); - }); - } -} - -async function setCompartmentEnv() { - await inquirer - .prompt([ - { - type: "input", - name: "compartmentName", - message: "Compartment Name", - default() { - return "root"; - }, - }, - ]) - .then(async (answers) => { - const compartmentName = answers.compartmentName; - const compartmentId = await searchCompartmentIdByName( - profile, - compartmentName || "root" - ); - config.set("compartmentName", compartmentName); - config.set("compartmentId", compartmentId); - }); -} - -async function createSSHKeys(name) { - const sshPathParam = path.join(os.homedir(), ".ssh", name); - const publicKeyContent = await createSSHKeyPair(sshPathParam); - config.set("privateKeyPath", sshPathParam); - config.set("publicKeyContent", publicKeyContent); - config.set("publicKeyPath", `${sshPathParam}.pub`); - console.log(`SSH key pair created: ${chalk.green(sshPathParam)}`); -} - -async function createCerts() { - const certPath = path.join(__dirname, "..", ".certs"); - await $`mkdir -p ${certPath}`; - await createSelfSignedCert(certPath); - config.set("certFullchain", path.join(certPath, "tls.crt")); - config.set("certPrivateKey", path.join(certPath, "tls.key")); -} - -async function setLatestGenAIModelChat() { - const latestVersionModel = await getLatestGenAIModels( - profile, - compartmentId, - regionName, - "cohere", - "CHAT" - ); - - const { id, vendor: vendorName, version, capabilities } = latestVersionModel; - const displayName = latestVersionModel["display-name"]; - const timeCreated = moment(latestVersionModel["time-created"]).fromNow(); - console.log( - `Using GenAI Model ${chalk.green(vendorName)}:${chalk.green( - version - )} (${chalk.green(displayName)}) with ${chalk.green( - capabilities.join(",") - )} created ${timeCreated} (${id})` - ); - - config.set("genAiModelChat", id); -} - -async function setLatestGenAIModelSummarization() { - const latestVersionModel = await getLatestGenAIModels( - profile, - compartmentId, - regionName, - "cohere", - "CHAT" - ); - - const { id, vendor: vendorName, version, capabilities } = latestVersionModel; - const displayName = latestVersionModel["display-name"]; - const timeCreated = moment(latestVersionModel["time-created"]).fromNow(); - console.log( - `Using GenAI Model ${chalk.green(vendorName)}:${chalk.green( - version - )} (${chalk.green(displayName)}) with ${chalk.green( - capabilities.join(",") - )} created ${timeCreated} (${id})` - ); - - config.set("genAiModelSummarization", id); -} diff --git a/scripts/tfvars.mjs b/scripts/tfvars.mjs deleted file mode 100644 index 71388319..00000000 --- a/scripts/tfvars.mjs +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env zx -import Mustache from "mustache"; -import Configstore from "configstore"; -import clear from "clear"; - -$.verbose = false; - -clear(); -console.log("Create terraform.tfvars..."); - -const projectName = "genai"; - -const config = new Configstore(projectName, { projectName }); - -await generateTFVars(); - -async function generateTFVars() { - const compartmentId = config.get("compartmentId"); - const compartmentName = config.get("compartmentName"); - const profile = config.get("profile"); - const regionName = config.get("regionName"); - const tenancyId = config.get("tenancyId"); - const publicKeyContent = config.get("publicKeyContent"); - const sshPrivateKeyPath = config.get("privateKeyPath"); - const certFullchain = config.get("certFullchain"); - const certPrivateKey = config.get("certPrivateKey"); - - const tfVarsPath = "deploy/terraform/terraform.tfvars"; - - const tfvarsTemplate = await fs.readFile(`${tfVarsPath}.mustache`, "utf-8"); - - const output = Mustache.render(tfvarsTemplate, { - tenancyId, - regionName, - compartmentId, - profile, - ssh_public_key: publicKeyContent, - ssh_private_key_path: sshPrivateKeyPath, - cert_fullchain: certFullchain, - cert_private_key: certPrivateKey, - }); - - console.log( - `Terraform will deploy resources in ${chalk.green( - regionName - )} in compartment ${ - compartmentName ? chalk.green(compartmentName) : chalk.green("root") - }` - ); - - await fs.writeFile(tfVarsPath, output); - - console.log(`File ${chalk.green(tfVarsPath)} created`); - - console.log(`1. ${chalk.yellow("cd deploy/terraform/")}`); - console.log(`2. ${chalk.yellow("terraform init")}`); - console.log(`3. ${chalk.yellow("terraform apply -auto-approve")}`); -} diff --git a/serverStart.sh b/serverStart.sh deleted file mode 100755 index 6ac652c6..00000000 --- a/serverStart.sh +++ /dev/null @@ -1,5 +0,0 @@ -cd service/python/ -python3 -m venv venv -. venv/bin/activate -pip install -r requirements.txt -python server.py \ No newline at end of file diff --git a/service/python/.gitignore b/service/python/.gitignore deleted file mode 100644 index fcf20a31..00000000 --- a/service/python/.gitignore +++ /dev/null @@ -1,36 +0,0 @@ -# General -.DS_Store -.AppleDouble -.LSOverride - -# Icon must end with two \r -Icon - - -# Thumbnails -._* - -# Files that might appear in the root of a volume -.DocumentRevisions-V100 -.fseventsd -.Spotlight-V100 -.TemporaryItems -.Trashes -.VolumeIcon.icns -.com.apple.timemachine.donotpresent - -# Directories potentially created on remote AFP share -.AppleDB -.AppleDesktop -Network Trash Folder -Temporary Items -.apdisk - -# ignore common security keys -.key -.crt -.csr -.pem - -#temp directory ignore -venv/ \ No newline at end of file diff --git a/service/python/requirements.txt b/service/python/requirements.txt deleted file mode 100644 index 204b9200..00000000 --- a/service/python/requirements.txt +++ /dev/null @@ -1,17 +0,0 @@ -asn1crypto==1.5.1 -asyncio==3.4.3 -cached-property==1.5.2 -certifi==2024.7.4 -cffi==1.16.0 -circuitbreaker==1.4.0 -cryptography==43.0.1 -oci==2.126.2 -pycparser==2.21 -pyOpenSSL==24.1.0 -python-dateutil==2.8.2 -python-pkcs11==0.7.0 -pytz==2023.3.post1 -six==1.16.0 -throttler==1.2.2 -websockets==12.0 -pypdf==4.2.0 \ No newline at end of file diff --git a/service/python/server.py b/service/python/server.py deleted file mode 100644 index 242994a3..00000000 --- a/service/python/server.py +++ /dev/null @@ -1,135 +0,0 @@ -import asyncio -import websockets -import json -import oci -from throttler import throttle -from pypdf import PdfReader -from io import BytesIO -from typing import Any, Dict, List -import re -from types import SimpleNamespace - -# TODO: Please update config profile name and use the compartmentId that has policies grant permissions for using Generative AI Service -compartment_id = "" -CONFIG_PROFILE = "DEFAULT" -config = oci.config.from_file('~/.oci/config', CONFIG_PROFILE) - -# Service endpoint -endpoint = "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com" -generative_ai_inference_client = ( - oci.generative_ai_inference.GenerativeAiInferenceClient( - config=config, - service_endpoint=endpoint, - retry_strategy=oci.retry.NoneRetryStrategy(), - timeout=(10, 240), - ) -) - -@throttle(rate_limit=15, period=65.0) -async def generate_ai_response(prompts): - prompt = "" - llm_inference_request = ( - oci.generative_ai_inference.models.CohereLlmInferenceRequest() - ) - llm_inference_request.prompt = prompts - llm_inference_request.max_tokens = 1000 - llm_inference_request.temperature = 0.75 - llm_inference_request.top_p = 0.7 - llm_inference_request.frequency_penalty = 1.0 - - generate_text_detail = oci.generative_ai_inference.models.GenerateTextDetails() - generate_text_detail.serving_mode = oci.generative_ai_inference.models.DedicatedServingMode(endpoint_id="ocid1.generativeaiendpoint.oc1.us-chicago-1.amaaaaaaeras5xiavrsefrftfupp42lnniddgjnxuwbv5jypl64i7ktan65a") - - generate_text_detail.compartment_id = compartment_id - generate_text_detail.inference_request = llm_inference_request - - if "" in compartment_id: - print("ERROR:Please update your compartment id in target python file") - quit() - - generate_text_response = generative_ai_inference_client.generate_text(generate_text_detail) - # Print result - print("**************************Generate Texts Result**************************") - print(vars(generate_text_response)) - - return generate_text_response - -@throttle(rate_limit=15, period=65.0) -async def generate_ai_summary(summary_txt, prompt): - # You can also load the summary text from a file, or as a parameter in main - #with open('files/summarize_data.txt', 'r') as file: - # text_to_summarize = file.read() - - summarize_text_detail = oci.generative_ai_inference.models.SummarizeTextDetails() - summarize_text_detail.serving_mode = oci.generative_ai_inference.models.OnDemandServingMode(model_id="cohere.command") - summarize_text_detail.compartment_id = compartment_id - #summarize_text_detail.input = text_to_summarize - summarize_text_detail.input = summary_txt - summarize_text_detail.additional_command = prompt - summarize_text_detail.extractiveness = "AUTO" # HIGH, LOW - summarize_text_detail.format = "AUTO" # brackets, paragraph - summarize_text_detail.length = "LONG" # high, AUTO - summarize_text_detail.temperature = .25 # [0,1] - - if "" in compartment_id: - print("ERROR:Please update your compartment id in target python file") - quit() - - summarize_text_response = generative_ai_inference_client.summarize_text(summarize_text_detail) - - # Print result - #print("**************************Summarize Texts Result**************************") - #print(summarize_text_response.data) - - return summarize_text_response.data - -async def parse_pdf(file: BytesIO) -> List[str]: - pdf = PdfReader(file) - output = [] - for page in pdf.pages: - text = page.extract_text() - # Merge hyphenated words - text = re.sub(r"(\w+)-\n(\w+)", r"\1\2", text) - # Fix newlines in the middle of sentences - text = re.sub(r"(? - - - - - - OCI GenAI PoC - - -

        - - - diff --git a/web/nginx/default.conf b/web/nginx/default.conf deleted file mode 100644 index ecb9e436..00000000 --- a/web/nginx/default.conf +++ /dev/null @@ -1,14 +0,0 @@ -server { - listen 80; - - location / { - root /usr/share/nginx/html; - index index.html index.htm; - try_files $uri $uri/ /index.html; - } - - error_page 500 502 503 504 /50x.html; - location = /50x.html { - root /usr/share/nginx/html; - } -} \ No newline at end of file diff --git a/web/package-lock.json b/web/package-lock.json deleted file mode 100644 index 8978c0b5..00000000 --- a/web/package-lock.json +++ /dev/null @@ -1,4802 +0,0 @@ -{ - "name": "web", - "version": "0.0.4", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "web", - "version": "0.0.4", - "dependencies": { - "@emotion/react": "^11.11.3", - "@emotion/styled": "^11.11.0", - "@fontsource/roboto": "^5.0.8", - "@mui/icons-material": "^5.15.4", - "@mui/material": "^5.15.4", - "@stomp/stompjs": "^7.0.0", - "react": "^18.2.0", - 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Jd1i!s{y**bvkCwJ diff --git a/web/src/App.jsx b/web/src/App.jsx deleted file mode 100644 index cc82791e..00000000 --- a/web/src/App.jsx +++ /dev/null @@ -1,41 +0,0 @@ -import { Container, Typography } from "@mui/material"; -import { StompProvider } from "./stompHook"; -import Routing from "./Routing"; -import { v4 as uuidv4 } from "uuid"; -import IdentityContext from "./IdentityContext"; - -let conversationId; -if (localStorage.getItem("conversationId")) { - conversationId = localStorage.getItem("conversationId"); -} else { - conversationId = uuidv4(); - localStorage.setItem("conversationId", conversationId); -} - -const protocol = window.location.protocol === "http:" ? "ws://" : "wss://"; -const hostname = - window.location.hostname === "localhost" - ? "localhost:8080" - : window.location.hostname; -const brokerURL = `${protocol}${hostname}/websocket`; - -function App() { - return ( - - - - - OCI GenAI PoC - - - - - - ); -} - -export default App; diff --git a/web/src/Chat.jsx b/web/src/Chat.jsx deleted file mode 100644 index e7cd639d..00000000 --- a/web/src/Chat.jsx +++ /dev/null @@ -1,135 +0,0 @@ -import { useState, useEffect, useContext } from "react"; -import { Box, CircularProgress, Snackbar } from "@mui/material"; -import PromptInput from "./PromptInput"; -import Conversation from "./Conversation"; -import { useStomp } from "./stompHook"; -import IdentityContext from "./IdentityContext"; - -function Chat() { - const identity = useContext(IdentityContext); - const [conversation, setConversation] = useState([]); - const [promptValue, setPromptValue] = useState(""); - const [waiting, setWaiting] = useState(false); - const [showError, setShowError] = useState(false); - const [errorMessage, setErrorMessage] = useState(); - const [modelId, setModelId] = useState(); - const [models, setModels] = useState(); - const [updateModels, setUpdateModels] = useState(true); - const { subscribe, unsubscribe, send, isConnected } = useStomp(); - - // useEffect(() => { - // const fecthModels = async () => { - // try { - // const response = await fetch("/api/genai/models"); - // const data = await response.json(); - // setModels( - // data.filter( - // ({ capabilities }) => - // capabilities.length === 1 && - // capabilities.includes("TEXT_GENERATION") - // ) - // ); - // } catch (error) { - // setErrorMessage("Error fetching Generative AI Models from Backend"); - // } - // }; - - // if (updateModels) { - // setUpdateModels(false); - // fecthModels(); - // } - // }, [updateModels]); - - useEffect(() => { - let timeoutId; - if (waiting) { - timeoutId = setTimeout(() => { - setWaiting(false); - setShowError(true); - setErrorMessage("Request timeout"); - }, 30000); - } else { - } - return () => (timeoutId ? clearTimeout(timeoutId) : null); - }, [waiting]); - - useEffect(() => { - if (isConnected) { - subscribe("/user/queue/answer", (message) => { - setWaiting(false); - if (message.errorMessage.length > 0) { - setErrorMessage(message.errorMessage); - setShowError(true); - } else { - setConversation((c) => [ - ...c, - { - id: c.length + 1, - user: "ai", - content: message.content, - }, - ]); - } - }); - } - - return () => { - unsubscribe("/user/queue/answer"); - }; - }, [isConnected]); - - useEffect(() => { - if (isConnected && promptValue.length) { - send("/genai/prompt", { - conversationId: identity, - content: promptValue, - modelId: "notapply", - }); - setWaiting(true); - setPromptValue(""); - } - return () => {}; - }, [promptValue]); - - return ( - - {/* - Model - - - */} - {conversation} - {waiting && } - - { - setErrorMessage(); - setShowError(false); - }} - message={errorMessage} - /> - - ); -} - -export default Chat; diff --git a/web/src/Conversation.jsx b/web/src/Conversation.jsx deleted file mode 100644 index a8ae6a27..00000000 --- a/web/src/Conversation.jsx +++ /dev/null @@ -1,39 +0,0 @@ -import { Avatar, Box, Paper, Stack, Typography } from "@mui/material"; -import { deepOrange, deepPurple } from "@mui/material/colors"; - -function Conversation({ children: conversation }) { - if (!conversation.length) return; - return ( - - - {conversation.map(({ id, user, content }) => { - return ( - - {user === "ai" && } - {content} - {user !== "ai" && } - - ); - })} - - - ); -} - -function AIAvatar() { - return AI; -} - -function MeAvatar() { - return Me; -} - -export default Conversation; diff --git a/web/src/IdentityContext.jsx b/web/src/IdentityContext.jsx deleted file mode 100644 index 1a3b1a0b..00000000 --- a/web/src/IdentityContext.jsx +++ /dev/null @@ -1,5 +0,0 @@ -import { createContext } from "react"; - -const IdentityContext = createContext(undefined); - -export default IdentityContext; diff --git a/web/src/PromptInput.jsx b/web/src/PromptInput.jsx deleted file mode 100644 index 8976b66f..00000000 --- a/web/src/PromptInput.jsx +++ /dev/null @@ -1,43 +0,0 @@ -import { Button, Stack, TextField } from "@mui/material"; -import { useState, useRef } from "react"; - -function PromptInput({ setConversation, setPromptValue, disabled }) { - const [inputValue, setInputValue] = useState(""); - const textRef = useRef(); - return ( - - setInputValue(e.target.value)} - /> - - - ); -} - -export default PromptInput; diff --git a/web/src/Routing.jsx b/web/src/Routing.jsx deleted file mode 100644 index cf837d68..00000000 --- a/web/src/Routing.jsx +++ /dev/null @@ -1,25 +0,0 @@ -import { createBrowserRouter, RouterProvider } from "react-router-dom"; -import Chat from "./Chat"; -import Summary from "./Summary"; -import SummaryText from "./SummaryText"; - -const router = createBrowserRouter([ - { - path: "/", - element: , - }, - { - path: "/summary", - element: , - }, - { - path: "/summaryText", - element: , - }, -]); - -function Routing() { - return ; -} - -export default Routing; diff --git a/web/src/Summary.jsx b/web/src/Summary.jsx deleted file mode 100644 index 569a7c0f..00000000 --- a/web/src/Summary.jsx +++ /dev/null @@ -1,94 +0,0 @@ -import { - Box, - Button, - Snackbar, - Stack, - TextField, - Typography, -} from "@mui/material"; -import { useEffect, useState, useContext } from "react"; -import { useForm } from "react-hook-form"; -import { useStomp } from "./stompHook"; -import IdentityContext from "./IdentityContext"; - -function Summary() { - const identity = useContext(IdentityContext); - const { register, handleSubmit, reset } = useForm(); - const [waiting, setWaiting] = useState(false); - const [showError, setShowError] = useState(false); - const [errorMessage, setErrorMessage] = useState(); - const [summary, setSummary] = useState(""); - const { subscribe, unsubscribe, isConnected } = useStomp(); - - useEffect(() => { - if (isConnected) { - subscribe("/user/queue/summary", (message) => { - if (message.errorMessage.length > 0) { - setErrorMessage(message.errorMessage); - setShowError(true); - } else { - console.log("/user/queue/summary"); - console.log(message); - setSummary(message); - } - }); - } - - return () => { - unsubscribe("/user/queue/summary"); - }; - }, [isConnected]); - - const onSubmit = async (data) => { - setWaiting(true); - const formData = new FormData(); - formData.append("file", data.file[0]); - - const res = await fetch("/api/upload", { - method: "POST", - body: formData, - headers: { conversationId: identity, modelId: "n/a" }, - }); - const responseData = await res.json(); - const { content, errorMessage } = responseData; - if (errorMessage.length) { - setErrorMessage(errorMessage); - setShowError(true); - } else { - console.log(content); - setSummary(content); - } - setWaiting(false); - reset(); - }; - return ( - -
        - - - - - -
        - {summary.length !== 0 && {summary}} - { - setErrorMessage(); - setShowError(false); - }} - message={errorMessage} - /> -         - ); -} - -export default Summary; diff --git a/web/src/SummaryText.jsx b/web/src/SummaryText.jsx deleted file mode 100644 index 8de79f36..00000000 --- a/web/src/SummaryText.jsx +++ /dev/null @@ -1,77 +0,0 @@ -import { - Box, - Button, - Snackbar, - Stack, - TextField, - Typography, -} from "@mui/material"; -import { useState, useContext } from "react"; -import { useForm } from "react-hook-form"; -import IdentityContext from "./IdentityContext"; - -function SummaryText() { - const identity = useContext(IdentityContext); - const { register, handleSubmit, reset } = useForm(); - const [waiting, setWaiting] = useState(false); - const [showError, setShowError] = useState(false); - const [errorMessage, setErrorMessage] = useState(); - const [summary, setSummary] = useState(""); - - const onSubmit = async (data) => { - setWaiting(true); - const body = JSON.stringify({ - content: data.fullText, - }); - - const res = await fetch("/api/genai/summary", { - method: "POST", - body: body, - headers: { - "Content-Type": "application/json", - conversationId: identity, - modelId: "n/a", - }, - }); - const responseData = await res.json(); - const { content, errorMessage } = responseData; - if (errorMessage.length) { - setErrorMessage(errorMessage); - setShowError(true); - } else { - setSummary(content); - } - setWaiting(false); - reset(); - }; - return ( - -
        - - - - -
        - {summary.length !== 0 && {summary}} - { - setErrorMessage(); - setShowError(false); - }} - message={errorMessage} - /> -         - ); -} - -export default SummaryText; diff --git a/web/src/main.jsx b/web/src/main.jsx deleted file mode 100644 index 2278a2d2..00000000 --- a/web/src/main.jsx +++ /dev/null @@ -1,13 +0,0 @@ -import React from "react"; -import ReactDOM from "react-dom/client"; -import App from "./App.jsx"; -import "@fontsource/roboto/300.css"; -import "@fontsource/roboto/400.css"; -import "@fontsource/roboto/500.css"; -import "@fontsource/roboto/700.css"; - -ReactDOM.createRoot(document.getElementById("root")).render( - - - -); diff --git a/web/src/stompHook/Provider.jsx b/web/src/stompHook/Provider.jsx deleted file mode 100644 index 4fc59e5d..00000000 --- a/web/src/stompHook/Provider.jsx +++ /dev/null @@ -1,36 +0,0 @@ -import React, { createContext, useEffect, useState } from "react"; -import { Client } from "@stomp/stompjs"; - -const defaultValue = { - isConnected: false, - stompClient: null, - subscriptions: {}, - setSubscriptions: () => {}, -}; - -export const StompContext = createContext(defaultValue); - -export const StompProvider = ({ children, config, onConnected }) => { - const [stompClient, setStompClient] = useState(new Client(config)); - const [subscriptions, setSubscriptions] = useState({}); - - useEffect(() => { - stompClient?.activate(); - onConnected?.(stompClient); - return () => { - stompClient?.deactivate(); - }; - }, [stompClient]); - - return ( - - {children} - - ); -}; diff --git a/web/src/stompHook/hook.js b/web/src/stompHook/hook.js deleted file mode 100644 index 8afc1f11..00000000 --- a/web/src/stompHook/hook.js +++ /dev/null @@ -1,51 +0,0 @@ -import { useContext } from "react"; -import { StompContext } from "./Provider"; - -export const useStomp = () => { - const value = useContext(StompContext); - const { stompClient, subscriptions, setSubscriptions } = value; - - const send = (path, body, headers) => { - stompClient?.publish({ - destination: path, - headers, - body: JSON.stringify(body), - }); - }; - - const subscribe = (path, callback) => { - if (!stompClient) return; - if (subscriptions[path]) return; - - const subscription = stompClient.subscribe(path, (message) => { - const body = JSON.parse(message.body); - callback(body); - }); - setSubscriptions((prev) => { - return { ...prev, [path]: subscription }; - }); - }; - - const unsubscribe = (path) => { - const copy = { ...subscriptions }; - if (!copy[path]) return subscriptions; - copy[path].unsubscribe(); - delete copy[path]; - setSubscriptions((prev) => { - return { ...copy }; - }); - }; - - const disconnect = () => { - stompClient?.deactivate(); - }; - - return { - disconnect, - subscribe, - unsubscribe, - subscriptions, - send, - isConnected: !!stompClient?.connected, - }; -}; diff --git a/web/src/stompHook/index.js b/web/src/stompHook/index.js deleted file mode 100644 index c9ff08a5..00000000 --- a/web/src/stompHook/index.js +++ /dev/null @@ -1,2 +0,0 @@ -export { StompProvider } from "./Provider"; -export { useStomp } from "./hook"; diff --git a/web/vite.config.js b/web/vite.config.js deleted file mode 100644 index cf1d5638..00000000 --- a/web/vite.config.js +++ /dev/null @@ -1,16 +0,0 @@ -import { defineConfig } from "vite"; -import react from "@vitejs/plugin-react"; - -// https://vitejs.dev/config/ -export default defineConfig({ - plugins: [react()], - server: { - proxy: { - "/api": { - target: "http://localhost:8080", - changeOrigin: true, - secure: false, - }, - }, - }, -});

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