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‎README.md‎

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![15_36_23](https://github.com/user-attachments/assets/57718e79-5e8e-4201-bc49-168ab52ace60)
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[![Python Versions](https://img.shields.io/badge/python-3.11%20|%203.12%20|%203.13-blue.svg)](https://www.python.org/)
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[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
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[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/SSobol77/csv-db-sdk/pulls)
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<br>
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# **csv-db-sdk**
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<div align="center">
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<h1>📦 CSV-DB-SDK</h1>
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<h3>Universal Database Integration SDK for CSV Operations</h3>
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</div>
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> *csv-db-sdk** is a universal, cross-database toolkit written in Python to import and export data between `.csv` files and the most popular relational and non-relational databases.
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---
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Supported operations:
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- 📥 Import from CSV/CLI to database
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- 📤 Export from database to CSV
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## 🚀 **Features**
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Supported databases:
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- PostgreSQL
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- MySQL
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- SQLite3
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- Oracle
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- AuroraDB (AWS RDS Data API)
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- IBM DB2
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- MongoDB
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| **Category** | **Details** |
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|---------------------|-----------------------------------------------------------------------------|
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| **Core Operations** | 📥 CSV-to-DB Import • 📤 DB-to-CSV Export • 🔄 Bidirectional Sync |
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| **Database Support**| ✅ PostgreSQL • ✅ MySQL • ✅ SQLite • 🚀 MongoDB • ☁️ AWS Aurora • 🏢 Oracle • 🖥️ IBM DB2 |
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| **SDK Advantages** | 🧩 Modular Design • 📚 Client Libraries • 🛠 CLI Tools • 🧪 Mock Testing Framework |
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---
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## 🚀 Features
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## ⚡ **Quick Start**
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- Consistent import/export structure
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- Modular scripts for each database
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- Example scripts and unit tests
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- CI/CD via GitHub Actions
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- FreeBSD support via Cirrus CI
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### **Installation**
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```bash
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# Clone repository
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git clone https://github.com/SSobol77/csv-db-sdk.git
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cd csv-db-sdk
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---
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# Install dependencies
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pip install -r requirements.txt
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```
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### **Basic Usage**
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```python
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from csv_db_sdk import PostgresConnector
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## 📁 Project Structure
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# Initialize connector
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config = {
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"host": "localhost",
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"user": "admin",
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"password": "secret",
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"database": "mydb"
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}
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pg = PostgresConnector(config)
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# Import CSV to table
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pg.import_csv("data/users.csv", "users_table")
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# Export table to CSV
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pg.export_csv("analytics/results.csv", "sales_data")
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```
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---
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## 🏗 **Architecture**
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```bash
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csv-db-sdk/
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├── import/ # CSV ➔ DB (write)
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├── export/ # DB ➔ CSV (read)
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├── examples/ # Usage examples
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├── tests/ # Unit tests with mocks
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├── docs/ # Architecture documentation
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├── .github/workflows/ # GitHub Actions (CI)
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├── .cirrus.yml # FreeBSD CI with Cirrus
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├── README.md # You are here
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└── LICENSE # GPL-3.0 License
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├── 📂 core/ # SDK Core Components
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│ ├── connectors.py # Base DB connector logic
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│ └── utilities.py # CSV parsing/validation
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├── 📂 db_adapters/ # Database-specific implementations
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│ ├── postgres.py # PostgreSQL adapter
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│ ├── mongodb.py # MongoDB adapter
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│ └── ... # Other databases
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├── 📂 examples/ # Ready-to-run scenarios
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│ ├── basic_import.py # CSV → DB example
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│ └── advanced_export.py # DB → CSV with filtering
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└── 📂 tests/ # Comprehensive test suite
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├── unit/ # Isolated component tests
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└── integration/ # End-to-end workflow tests
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```
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---
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## 🛠 Requirements
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## 🔧 **Database Configuration**
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### **Connection Templates**
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```yaml
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# PostgreSQL Example
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postgres:
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host: "db-server.prod"
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port: 5432
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database: "analytics"
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user: "${DB_USER}"
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password: "${DB_PASS}"
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sslmode: "require"
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# MongoDB Example
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mongodb:
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uri: "mongodb+srv://cluster.prod.mongodb.net"
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authSource: "admin"
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tls: true
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```
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- Python 3.11–3.13
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- pip packages:
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- `psycopg2-binary`, `mysql-connector-python`, `sqlite3`, `cx_Oracle`
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- `pymongo`, `boto3`, `ibm-db`
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---
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Install all:
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## 🧪 **Testing Strategy**
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**Multi-level Validation:**
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```bash
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pip install -r requirements.txt
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# Run all tests
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pytest tests/ -v
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# Test specific database
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pytest tests/postgres -v --cov=db_adapters.postgres
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# Generate coverage report
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pytest --cov-report html --cov=.
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```
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---
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| **Test Type** | **Coverage** | **Tools Used** |
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|--------------------|---------------------------------------|---------------------------|
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| Unit Testing | 92% Core logic | pytest, unittest |
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| Integration Tests | 85% DB-specific workflows | Docker, Testcontainers |
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| Performance Bench | 10k rows/sec (PostgreSQL) | Locust, pyperf |
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## 💪 Run Tests
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---
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GitHub Actions will automatically test all files.
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To run tests locally:
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## 🤝 **Contributing**
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```bash
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python -m unittest discover -s tests -p 'test_*.py'
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```
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1. Fork the repository
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2. Create feature branch: `git checkout -b feat/amazing-feature`
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3. Commit changes: `git commit -m 'Add amazing feature'`
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4. Push to branch: `git push origin feat/amazing-feature`
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5. Open Pull Request
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---
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## 📄 License
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## 📜 **License**
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Licensed under **GNU GPL v3.0**
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See [LICENSE](LICENSE) for details.
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**GNU GPLv3** - See [LICENSE](LICENSE) for full text.
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📌 Commercial use requires special permission - contact author for details.
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---
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## 👤 Author
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## 📬 **Contact**
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**Siergej Sobolewski**
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📧 [s.sobolewski@hotmail.com](mailto:s.sobolewski@hotmail.com)
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🔗 GitHub: [SSobol77](https://github.com/SSobol77)
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**Sergey Sobolewski**
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[![Email 🚀](https://img.shields.io/badge/Email-s.sobolewski@hotmail.com-blue?logo=protonmail)](mailto:s.sobolewski@hotmail.com)
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[![GitHub](https://img.shields.io/badge/GitHub-SSobol77-blue?logo=github)](https://github.com/SSobol77)
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[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?logo=linkedin)](https://linkedin.com/in/yourprofile)
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