diff --git a/.github/scripts/find-changed-components-and-pipelines.sh b/.github/scripts/find-changed-components-and-pipelines.sh new file mode 100755 index 0000000..b618bd6 --- /dev/null +++ b/.github/scripts/find-changed-components-and-pipelines.sh @@ -0,0 +1,116 @@ +#!/bin/bash +# Extract unique component and pipeline directories from a list of changed files +# Usage: ./find-changed-components-and-pipelines.sh ... +# Output: Space-separated list of directories +# Note: If the generator script is changed, returns all components and pipelines + +set -e + +components="" +pipelines="" +generator_changed=false + +# Helper function to find all component directories +# Scans both components/ and third_party/components/ +find_all_components() { + for base_dir in "components" "third_party/components"; do + if [ -d "$base_dir" ]; then + for category_dir in "$base_dir"/*/; do + if [ -d "$category_dir" ]; then + for comp_dir in "$category_dir"*/; do + if [ -d "$comp_dir" ] && [ -f "${comp_dir}component.py" ]; then + comp_path="${comp_dir%/}" + components="$components $comp_path" + fi + done + fi + done + fi + done +} + +# Helper function to find all pipeline directories +# Scans both pipelines/ and third_party/pipelines/ +find_all_pipelines() { + for base_dir in "pipelines" "third_party/pipelines"; do + if [ -d "$base_dir" ]; then + for category_dir in "$base_dir"/*/; do + if [ -d "$category_dir" ]; then + for pipe_dir in "$category_dir"*/; do + if [ -d "$pipe_dir" ] && [ -f "${pipe_dir}pipeline.py" ]; then + pipe_path="${pipe_dir%/}" + pipelines="$pipelines $pipe_path" + fi + done + fi + done + fi + done +} + +# Helper function to extract directory from file path and add to variable +# Args: $1 = file path, $2 = pattern to match +# Automatically detects third_party prefix, cut depth, and output variable +extract_dir_from_file() { + local file=$1 + local pattern=$2 + + if [[ "$file" == $pattern ]]; then + # Determine output variable based on pattern + local var_name + if [[ "$pattern" == *components* ]]; then + var_name="components" + elif [[ "$pattern" == *pipelines* ]]; then + var_name="pipelines" + else + return + fi + + # Default to 3 fields, increment by 1 if third_party is in the pattern + local cut_fields=3 + if [[ "$pattern" == third_party/* ]]; then + cut_fields=4 + fi + + local dir=$(echo "$file" | cut -d'/' -f1-"$cut_fields") + local current_value + eval "current_value=\$$var_name" + if [[ ! " $current_value " =~ " $dir " ]]; then + eval "$var_name=\"\${$var_name} \${dir}\"" + fi + fi +} + +# Check if the generator script itself was changed +for file in "$@"; do + if [[ "$file" == scripts/generate_readme/* ]]; then + generator_changed=true + break + fi +done + +# If generator changed, find all components and pipelines +if [ "$generator_changed" = true ]; then + echo "Generator script changed, checking all components and pipelines" >&2 + + find_all_components + find_all_pipelines + + # Trim whitespace and output + all_targets="$(echo "$components $pipelines" | xargs)" + echo "$all_targets" + exit 0 +fi + +# Normal operation: extract directories from changed files +for file in "$@"; do + extract_dir_from_file "$file" "components/*/*/*" + extract_dir_from_file "$file" "third_party/components/*/*/*" + extract_dir_from_file "$file" "pipelines/*/*/*" + extract_dir_from_file "$file" "third_party/pipelines/*/*/*" +done + +# Trim whitespace and output +all_targets="$(echo "$components $pipelines" | xargs)" +echo "$all_targets" + diff --git a/.github/scripts/test-readme-check.sh b/.github/scripts/test-readme-check.sh new file mode 100755 index 0000000..2aef24d --- /dev/null +++ b/.github/scripts/test-readme-check.sh @@ -0,0 +1,128 @@ +#!/bin/bash +# Test script to simulate README validation workflow locally +# Usage: ./test-readme-check.sh [--ci] [component_dir|pipeline_dir] +# +# Options: +# --ci Run in CI mode (non-interactive, always restore original README on failure) + +set -e + +# Parse --ci flag +CI_MODE=false +if [ "$1" == "--ci" ]; then + CI_MODE=true + shift +fi + +# Colors for output +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[1;33m' +NC='\033[0m' # No Color + +print_success() { + echo -e "${GREEN}✅ $1${NC}" +} + +print_error() { + echo -e "${RED}❌ $1${NC}" +} + +print_warning() { + echo -e "${YELLOW}⚠️ $1${NC}" +} + +print_header() { + echo "==================================================" + echo "$1" + echo "==================================================" +} + +# Check if target directory is provided +if [ $# -eq 0 ]; then + echo "Usage: $0 [--ci] " + echo "" + echo "Options:" + echo " --ci Run in CI mode (non-interactive)" + echo "" + echo "Examples:" + echo " $0 components/dev/hello_world" + echo " $0 pipelines/training/my_pipeline" + echo " $0 third_party/components/dev/external_component" + echo " $0 --ci components/dev/hello_world # CI mode" + exit 1 +fi + +TARGET_DIR=$1 + +# Determine if it's a component or pipeline +if [[ "$TARGET_DIR" == components/* ]] || [[ "$TARGET_DIR" == third_party/components/* ]]; then + TYPE_FLAG="--component" +elif [[ "$TARGET_DIR" == pipelines/* ]] || [[ "$TARGET_DIR" == third_party/pipelines/* ]]; then + TYPE_FLAG="--pipeline" +else + print_error "Invalid directory. Must be in components/, pipelines/, third_party/components/, or third_party/pipelines/" + exit 1 +fi + +print_header "Testing README validation for: $TARGET_DIR" + +# Backup existing README +if [ -f "$TARGET_DIR/README.md" ]; then + print_warning "Backing up existing README..." + cp "$TARGET_DIR/README.md" "$TARGET_DIR/README.md.backup" +else + print_warning "No existing README found" +fi + +# Generate new README +echo "Generating README..." +uv run python -m scripts.generate_readme $TYPE_FLAG "$TARGET_DIR" --overwrite + +# Compare READMEs (ignore custom content section) +if [ -f "$TARGET_DIR/README.md.backup" ]; then + echo "Comparing generated README with existing version..." + + # Extract content before custom-content marker from both files + awk '//{exit} 1' "$TARGET_DIR/README.md.backup" > /tmp/old_readme.txt + awk '//{exit} 1' "$TARGET_DIR/README.md" > /tmp/new_readme.txt + + if ! diff -u /tmp/old_readme.txt /tmp/new_readme.txt; then + print_error "README is out of sync for $TARGET_DIR" + echo "" + echo "The generated README differs from the committed version." + echo "Command to fix: uv run python -m scripts.generate_readme $TYPE_FLAG $TARGET_DIR --overwrite" + echo "" + echo "Diff saved to: /tmp/readme_diff.txt" + diff -u /tmp/old_readme.txt /tmp/new_readme.txt > /tmp/readme_diff.txt || true + + # In CI mode, always restore original README; otherwise ask user + if [ "$CI_MODE" = true ]; then + mv "$TARGET_DIR/README.md.backup" "$TARGET_DIR/README.md" + print_warning "Restored original README (CI mode)" + else + # Ask if user wants to keep the new README + read -p "Keep the newly generated README? (y/N): " -n 1 -r + echo + if [[ ! $REPLY =~ ^[Yy]$ ]]; then + mv "$TARGET_DIR/README.md.backup" "$TARGET_DIR/README.md" + print_warning "Restored original README" + else + rm "$TARGET_DIR/README.md.backup" + print_success "Kept new README. Don't forget to commit it!" + fi + fi + + exit 1 + else + print_success "README is up-to-date for $TARGET_DIR" + # Restore backup to maintain custom content + mv "$TARGET_DIR/README.md.backup" "$TARGET_DIR/README.md" + exit 0 + fi +else + print_warning "No existing README to compare against" + print_success "A new README has been generated. Review and commit it." + exit 0 +fi + diff --git a/.github/workflows/readme-check.yml b/.github/workflows/readme-check.yml new file mode 100644 index 0000000..9df9e53 --- /dev/null +++ b/.github/workflows/readme-check.yml @@ -0,0 +1,109 @@ +name: README Validation + +on: + pull_request: + paths: + - 'components/**' + - 'pipelines/**' + - 'third_party/components/**' + - 'third_party/pipelines/**' + - 'scripts/generate_readme/**' + - '.github/workflows/readme-check.yml' + - '.github/scripts/**' + +jobs: + check-readme-sync: + name: Check README files are up-to-date + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v45 + with: + files: | + components/** + pipelines/** + third_party/components/** + third_party/pipelines/** + scripts/generate_readme/** + .github/scripts/** + files_ignore: | + **/*.md + + - name: Check if only README files changed + id: check-skip + run: | + if [ "${{ steps.changed-files.outputs.any_changed }}" != "true" ]; then + echo "skip=true" >> $GITHUB_OUTPUT + echo "Only README files changed, skipping validation" + else + echo "skip=false" >> $GITHUB_OUTPUT + fi + + - name: Install uv + if: steps.check-skip.outputs.skip != 'true' + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python + if: steps.check-skip.outputs.skip != 'true' + uses: actions/setup-python@v5 + with: + python-version-file: pyproject.toml + + - name: Install dependencies + if: steps.check-skip.outputs.skip != 'true' + run: uv sync --locked --all-extras --dev + + - name: Extract component and pipeline directories + if: steps.check-skip.outputs.skip != 'true' + id: find-targets + run: | + echo "Changed files:" + echo "${{ steps.changed-files.outputs.all_changed_files }}" + + # Extract unique component/pipeline directories from changed files + targets=$(./.github/scripts/find-changed-components-and-pipelines.sh ${{ steps.changed-files.outputs.all_changed_files }}) + + echo "targets=$targets" >> $GITHUB_OUTPUT + echo "Targets to check: $targets" + + - name: Validate READMEs + if: steps.check-skip.outputs.skip != 'true' && steps.find-targets.outputs.targets != '' + run: | + set -e + failed_targets="" + + for target_dir in ${{ steps.find-targets.outputs.targets }}; do + echo "" + # Run the validation script in CI mode + if ./.github/scripts/test-readme-check.sh --ci "$target_dir"; then + echo "" + else + failed_targets="$failed_targets $target_dir" + fi + done + + if [ -n "$failed_targets" ]; then + echo "==================================================" + echo "❌ README validation failed for:" + for target in $failed_targets; do + echo " - $target" + done + echo "==================================================" + exit 1 + fi + + - name: Summary + if: steps.check-skip.outputs.skip != 'true' + run: | + echo "==================================================" + echo "✅ All README files are up-to-date!" + echo "==================================================" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..888d6a3 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "pipelines-components" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.9" +dependencies = [ + "docstring-parser>=0.17.0", + "jinja2>=3.1.6", + "kfp>=2.14.6", + "pytest>=8.4.2", + "pyyaml>=6.0.3", +] diff --git a/scripts/generate_readme/README.md b/scripts/generate_readme/README.md new file mode 100644 index 0000000..4069fe6 --- /dev/null +++ b/scripts/generate_readme/README.md @@ -0,0 +1,89 @@ +# Generate README Module + +A modular tool for automatically generating README documentation for Kubeflow Pipelines components and pipelines. + +## Structure + +``` +generate_readme/ +├── __init__.py # Package initialization +├── __main__.py # Entry point for module execution +├── cli.py # Command-line interface and argument parsing +├── constants.py # Shared constants and logger configuration +├── content_generator.py # README content generation logic +├── writer.py # Main README generator orchestration and writer +├── metadata_parser.py # Metadata extraction from KFP components/pipelines +└── README.md.j2 # Jinja template for a standardized README.md file +``` + +## Usage + +Run from the project root directory: + +```bash +# Generate README for a component +python -m scripts.generate_readme --component components/some_category/my_component + +# Generate README for a pipeline +python -m scripts.generate_readme --pipeline pipelines/some_category/my_pipeline + +# With additional options +python -m scripts.generate_readme --component components/some_category/my_component --verbose --overwrite + +# Or with uv +uv run python -m scripts.generate_readme --component components/some_category/my_component +``` + +## Features + +- **Automatic metadata extraction**: Parses Python functions decorated with `@dsl.component` or `@dsl.pipeline`, and augments with metadata from `metadata.yaml` +- **Google-style docstring parsing**: Extracts parameter descriptions and return values +- **KEP-913 compliance**: Generates READMEs following the standardized template +- **Custom content preservation**: Preserves user-added content after the `` marker +- **Type annotation support**: Handles complex type annotations including Optional, Union, and generics +- **Component-specific usage examples**: Includes/Updates an example usage for the given pipeline or component, if provided via `example_pipeline.py` + +## Module Components + +### metadata_parser.py + +- `MetadataParser`: Base class with shared parsing utilities +- `ComponentMetadataParser`: Extracts metadata from `@dsl.component` functions +- `PipelineMetadataParser`: Extracts metadata from `@dsl.pipeline` functions + +### content_generator.py + +- `ReadmeContentGenerator`: Generates formatted README sections from extracted metadata + +### writer.py + +- `ReadmeWriter`: Orchestrates the README generation and writing process + +### cli.py + +- `validate_component_directory()`: Validates component directory structure +- `validate_pipeline_directory()`: Validates pipeline directory structure +- `parse_arguments()`: Parses command-line arguments +- `main()`: Entry point for CLI execution + +## Custom Content + +Users can add custom sections to their READMEs that will be preserved across regenerations: + +1. Add the marker `` at the desired location +2. Write custom content below the marker +3. The content will be preserved when regenerating the README + +Example: + +```markdown +## Metadata 🗂️ +... + + + +## Additional Examples + +Custom examples that won't be overwritten... +``` + diff --git a/scripts/generate_readme/README.md.j2 b/scripts/generate_readme/README.md.j2 new file mode 100644 index 0000000..474e03d --- /dev/null +++ b/scripts/generate_readme/README.md.j2 @@ -0,0 +1,48 @@ +# {{ title }} ✨ + +## Overview 🧾 + +{{ overview }} + +{% if parameters %} +## Inputs 📥 + +| Parameter | Type | Default | Description | +|-----------|------|---------|-------------| +{% for param_name, param_info in parameters.items() %} +| `{{ param_name }}` | `{{ param_info.type }}` | {{ param_info.default_str }} | {{ param_info.description }} | +{% endfor %} +{% endif %} + +{% if returns %} +## Outputs 📤 + +| Name | Type | Description | +|------|------|-------------| +| Output | `{{ returns.type }}` | {{ returns.description }} | +{% endif %} + +{% if example_code %} +## Usage Example 🧪 + +```python +{{ example_code }} +``` +{% endif %} + +{% if formatted_metadata %} +## Metadata 🗂️ + +{% for key, value in formatted_metadata.items() %} +- **{{ key }}**: {{ value }} +{% endfor %} +{% endif %} + +{% if links %} +## Additional Resources 📚 + +{% for link_name, link_url in links.items() %} +- **{{ link_name | replace('_', ' ') | title }}**: [{{ link_url }}]({{ link_url }}) +{% endfor %} +{% endif %} + diff --git a/scripts/generate_readme/__init__.py b/scripts/generate_readme/__init__.py new file mode 100644 index 0000000..10c9036 --- /dev/null +++ b/scripts/generate_readme/__init__.py @@ -0,0 +1,16 @@ +"""Generate README.md documentation for Kubeflow Pipelines components and pipelines. + +This package introspects Python functions decorated with @dsl.component or @dsl.pipeline +to extract function metadata and generate comprehensive README documentation following the +standards outlined in KEP-913: Components Repository. +""" + +from .writer import ReadmeWriter +from .metadata_parser import ComponentMetadataParser, PipelineMetadataParser + +__all__ = [ + 'ReadmeWriter', + 'ComponentMetadataParser', + 'PipelineMetadataParser', +] + diff --git a/scripts/generate_readme/__main__.py b/scripts/generate_readme/__main__.py new file mode 100644 index 0000000..0f84647 --- /dev/null +++ b/scripts/generate_readme/__main__.py @@ -0,0 +1,12 @@ +"""Entry point for running generate_readme as a module. + +Usage: + python -m generate_readme --component components/some_category/my_component + python -m generate_readme --pipeline pipelines/some_category/my_pipeline +""" + +from .cli import main + +if __name__ == "__main__": + main() + diff --git a/scripts/generate_readme/cli.py b/scripts/generate_readme/cli.py new file mode 100644 index 0000000..b3dc3ee --- /dev/null +++ b/scripts/generate_readme/cli.py @@ -0,0 +1,150 @@ +"""Command-line interface for the generate_readme package.""" + +import argparse +import sys +from pathlib import Path + +from .constants import logger +from .writer import ReadmeWriter + + +def validate_component_directory(dir_path: str) -> Path: + """Validate that the component directory exists and contains required files. + + Args: + dir_path: String path to the component directory. + + Returns: + Path: Validated Path object to the component directory. + + Raises: + argparse.ArgumentTypeError: If validation fails. + """ + path = Path(dir_path) + + if not path.exists(): + raise argparse.ArgumentTypeError(f"Component directory '{dir_path}' does not exist") + + if not path.is_dir(): + raise argparse.ArgumentTypeError(f"'{dir_path}' is not a directory") + + component_file = path / 'component.py' + if not component_file.exists(): + raise argparse.ArgumentTypeError(f"'{dir_path}' does not contain a component.py file") + + metadata_file = path / 'metadata.yaml' + if not metadata_file.exists(): + raise argparse.ArgumentTypeError(f"'{dir_path}' does not contain a metadata.yaml file") + + return path + + +def validate_pipeline_directory(dir_path: str) -> Path: + """Validate that the pipeline directory exists and contains required files. + + Args: + dir_path: String path to the pipeline directory. + + Returns: + Path: Validated Path object to the pipeline directory. + + Raises: + argparse.ArgumentTypeError: If validation fails. + """ + path = Path(dir_path) + + if not path.exists(): + raise argparse.ArgumentTypeError(f"Pipeline directory '{dir_path}' does not exist") + + if not path.is_dir(): + raise argparse.ArgumentTypeError(f"'{dir_path}' is not a directory") + + pipeline_file = path / 'pipeline.py' + if not pipeline_file.exists(): + raise argparse.ArgumentTypeError(f"'{dir_path}' does not contain a pipeline.py file") + + metadata_file = path / 'metadata.yaml' + if not metadata_file.exists(): + raise argparse.ArgumentTypeError(f"'{dir_path}' does not contain a metadata.yaml file") + + return path + + +def parse_arguments(): + """Parse and validate command-line arguments. + + Returns: + argparse.Namespace: Parsed and validated arguments. + """ + parser = argparse.ArgumentParser( + description="Generate README.md documentation for Kubeflow Pipelines components and pipelines", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # From project root: + python -m scripts.generate_readme --component components/some_category/my_component + python -m scripts.generate_readme --pipeline pipelines/some_category/my_pipeline + python -m scripts.generate_readme --component components/some_category/my_component --output custom_readme.md + python -m scripts.generate_readme --component components/some_category/my_component --verbose --overwrite + + # Or with uv: + uv run python -m scripts.generate_readme --component components/some_category/my_component + """ + ) + + parser.add_argument( + '--component', + type=validate_component_directory, + help='Path to the component directory (must contain component.py and metadata.yaml)' + ) + + parser.add_argument( + '--pipeline', + type=validate_pipeline_directory, + help='Path to the pipeline directory (must contain pipeline.py and metadata.yaml)' + ) + + parser.add_argument( + '-o', '--output', + type=Path, + help='Output path for the generated README.md (default: README.md in component/pipeline directory)' + ) + + parser.add_argument( + '-v', '--verbose', + action='store_true', + help='Enable verbose output' + ) + + parser.add_argument( + '--overwrite', + action='store_true', + help='Overwrite existing README.md without prompting' + ) + + return parser.parse_args() + + +def main(): + """Main entry point for the CLI.""" + args = parse_arguments() + + # Validate that at least one of --component or --pipeline is provided + if not args.component and not args.pipeline: + logger.error("Error: Either --component or --pipeline must be specified") + sys.exit(1) + + if args.component and args.pipeline: + logger.error("Error: Cannot specify both --component and --pipeline") + sys.exit(1) + + # Create and run the README writer + writer = ReadmeWriter( + component_dir=args.component, + pipeline_dir=args.pipeline, + output_file=args.output, + verbose=args.verbose, + overwrite=args.overwrite + ) + writer.generate() + diff --git a/scripts/generate_readme/constants.py b/scripts/generate_readme/constants.py new file mode 100644 index 0000000..ce938fc --- /dev/null +++ b/scripts/generate_readme/constants.py @@ -0,0 +1,10 @@ +"""Constants and shared configuration for the generate_readme package.""" + +import logging + +# Set up logger +logger = logging.getLogger(__name__) + +# Custom content marker for preserving user-added content +CUSTOM_CONTENT_MARKER = '' + diff --git a/scripts/generate_readme/content_generator.py b/scripts/generate_readme/content_generator.py new file mode 100644 index 0000000..544908e --- /dev/null +++ b/scripts/generate_readme/content_generator.py @@ -0,0 +1,260 @@ +"""README content generator for KFP components and pipelines.""" + +import re +from pathlib import Path +from typing import Any, Dict +import yaml +from jinja2 import Environment, FileSystemLoader +from .constants import logger + + +class ReadmeContentGenerator: + """Generates README.md documentation content for KFP components and pipelines.""" + + def __init__(self, metadata: Dict[str, Any], source_dir: Path): + """Initialize the generator with metadata. + + Args: + metadata: Metadata extracted by ComponentMetadataParser or PipelineMetadataParser. + source_dir: Path to the component/pipeline directory. + """ + self.metadata = metadata + self.source_dir = source_dir + self.metadata_file = source_dir / 'metadata.yaml' + self.example_file = source_dir / 'example_pipeline.py' + self.owners_file = source_dir / 'OWNERS' + self.feature_metadata = self._load_feature_metadata() + + # Set up Jinja2 environment + template_dir = Path(__file__).parent + self.env = Environment( + loader=FileSystemLoader(template_dir), + trim_blocks=True, + lstrip_blocks=True, + ) + self.template = self.env.get_template('README.md.j2') + + def _load_feature_metadata(self) -> Dict[str, Any]: + """Load and parse feature metadata from metadata.yaml and OWNERS files. + + Loads metadata from metadata.yaml (excluding 'ci' field) and augments it + with owners information from OWNERS file if it exists. + + Returns: + Dictionary containing the aggregated feature metadata. + """ + try: + with open(self.metadata_file, 'r', encoding='utf-8') as f: + yaml_data = yaml.safe_load(f) + + # Remove 'ci' field if present + if yaml_data and 'ci' in yaml_data: + yaml_data.pop('ci') + + yaml_data = yaml_data or {} + except Exception as e: + logger.warning(f"Could not load metadata.yaml: {e}") + yaml_data = {} + + # Augment with owners information from OWNERS file + owners_data = self._load_owners() + if owners_data: + yaml_data['owners'] = owners_data + + return yaml_data + + def _load_owners(self) -> Dict[str, Any]: + """Load the OWNERS file if it exists. + + Returns: + Dictionary containing owners data (approvers and reviewers) if file exists, empty dict otherwise. + """ + if self.owners_file.exists(): + try: + with open(self.owners_file, 'r', encoding='utf-8') as f: + owners_data = yaml.safe_load(f) + return owners_data or {} + except Exception as e: + logger.warning(f"Error reading OWNERS file ({self.owners_file}): {e}") + return {} + return {} + + def _load_example_pipeline(self) -> str: + """Load the Example Pipeline file if it exists. + + Returns: + Contents of Example Pipeline file if it exists, empty string otherwise. + """ + if self.example_file.exists(): + try: + with open(self.example_file, 'r', encoding='utf-8') as f: + return f.read() + except Exception as e: + logger.warning(f"Error reading Example Pipeline file ({self.example_file}): {e}") + return '' + return '' + + def _format_key(self, key: str) -> str: + """Format a key from snake_case or camelCase to Title Case. + + Args: + key: The key to format. + + Returns: + Formatted key in Title Case with spaces. + + Examples: + 'my_field_name' -> 'My Field Name' + 'myFieldName' -> 'My Field Name' + 'kfp_version' -> 'KFP Version' + """ + # First, handle camelCase by inserting spaces before capitals + key = re.sub(r'([a-z])([A-Z])', r'\1 \2', key) + + # Replace underscores with spaces + key = key.replace('_', ' ') + + # Split into words and capitalize each + words = key.split() + formatted_words = [] + + for word in words: + # Keep known acronyms in uppercase + if word.upper() in ['KFP', 'API', 'URL', 'ID', 'UI', 'CI', 'CD']: + formatted_words.append(word.upper()) + else: + formatted_words.append(word.capitalize()) + + return ' '.join(formatted_words) + + def _format_value(self, value: Any, depth: int = 0) -> str: + """Format a metadata value for human-readable display. + + Args: + value: The value to format. + depth: Current nesting depth (0 = top level). + + Returns: + Formatted value as a string with proper markdown list indentation. + """ + indent = ' ' * depth # 2 spaces per depth level + + if isinstance(value, bool): + return 'Yes' if value else 'No' + + elif isinstance(value, list): + if not value: + return 'None' + items = [] + for item in value: + if isinstance(item, dict): + # Dict in list: format as comma-separated key-value pairs + parts = [f"{self._format_key(k)}: {v}" for k, v in item.items()] + items.append(', '.join(parts)) + else: + # Simple item: just convert to string + items.append(str(item)) + return '\n' + indent + ' - ' + f'\n{indent} - '.join(items) + + elif isinstance(value, dict): + if not value: + return 'None' + items = [] + for k, v in value.items(): + key = self._format_key(k) + val = self._format_value(v, depth + 1) + # If value has newlines (nested structure), format with colon on same line + if '\n' in val: + items.append(f"{key}:{val}") + else: + items.append(f"{key}: {val}") + return '\n' + indent + ' - ' + f'\n{indent} - '.join(items) + + elif value is None: + return 'None' + + else: + return str(value) + + def _format_metadata(self) -> Dict[str, str]: + """Format the YAML metadata for human-readable display. + + Returns: + Dictionary with formatted keys and values. + """ + return { + self._format_key(key): self._format_value(value) + for key, value in self.feature_metadata.items() + } + + def generate_readme(self) -> str: + """Generate complete README.md content following KEP-913 template. + + Returns: + Complete README.md content as a string. + """ + context = self._prepare_template_context() + return self.template.render(**context) + + def _prepare_template_context(self) -> Dict[str, Any]: + """Prepare the context data for the Jinja2 template. + + Returns: + Dictionary containing all variables needed by the template. + """ + # Prefer name from metadata.yaml over function name + component_name = self.feature_metadata.get('name', self.metadata.get('name', 'Component')) + + # Prepare title + title = ' '.join(word.capitalize() for word in component_name.split('_')) + + # Prepare overview + overview = self.metadata.get('overview', '') + if not overview: + overview = f"A Kubeflow Pipelines component for {component_name.replace('_', ' ')}." + + # Prepare parameters with formatted defaults + parameters = {} + for param_name, param_info in self.metadata.get('parameters', {}).items(): + param_type = param_info.get('type', 'Any') + default = param_info.get('default') + default_str = f"`{default}`" if default is not None else "Required" + description = param_info.get('description', '') + + parameters[param_name] = { + 'type': param_type, + 'default_str': default_str, + 'description': description, + } + + # Prepare returns + returns = self.metadata.get('returns', {}) + if returns: + returns = { + 'type': returns.get('type', 'Any'), + 'description': returns.get('description', 'Component output'), + } + + # Load example pipeline if it exists + example_code = self._load_example_pipeline() + + # Extract links for separate Additional Resources section (removes from feature_metadata) + links = self.feature_metadata.pop('links', {}) + + # Prepare formatted metadata for human-readable display + formatted_metadata = { + self._format_key(key): self._format_value(value) + for key, value in self.feature_metadata.items() + } + + return { + 'title': title, + 'overview': overview, + 'parameters': parameters, + 'returns': returns, + 'component_name': component_name, + 'example_code': example_code, + 'formatted_metadata': formatted_metadata, + 'links': links, + } + diff --git a/scripts/generate_readme/metadata_parser.py b/scripts/generate_readme/metadata_parser.py new file mode 100644 index 0000000..222cefd --- /dev/null +++ b/scripts/generate_readme/metadata_parser.py @@ -0,0 +1,352 @@ +"""Metadata parsers for KFP components and pipelines.""" + +import ast +import importlib.util +import inspect +from pathlib import Path +from typing import Any, Dict, Optional + +from docstring_parser import parse as parse_docstring + +from .constants import logger + + +class MetadataParser: + """Base class for parsing KFP function metadata with shared utilities.""" + + def __init__(self, file_path: Path): + """Initialize the parser with a file path. + + Args: + file_path: Path to the Python file containing the function. + """ + self.file_path = file_path + + def _parse_google_docstring(self, docstring: str) -> Dict[str, Any]: + """Parse Google-style docstring to extract Args and Returns sections. + + Args: + docstring: The function's docstring. + + Returns: + Dictionary containing parsed docstring information. + """ + if not docstring: + return {'overview': '', 'args': {}, 'returns_description': ''} + + # Parse docstring using docstring-parser library + parsed = parse_docstring(docstring) + + # Extract overview (short description + long description) + overview_parts = [] + if parsed.short_description: + overview_parts.append(parsed.short_description) + if parsed.long_description: + overview_parts.append(parsed.long_description) + overview = '\n\n'.join(overview_parts) + + # Extract arguments + args = {param.arg_name: param.description for param in parsed.params} + + # Extract returns description + returns_description = parsed.returns.description if parsed.returns else '' + + return { + 'overview': overview, + 'args': args, + 'returns_description': returns_description + } + + def _get_type_string(self, annotation: Any) -> str: + """Convert type annotation to string representation. + + Args: + annotation: The type annotation object. + + Returns: + String representation of the type. + """ + if annotation == inspect.Parameter.empty or annotation == inspect.Signature.empty: + return 'Any' + + # For simple types (classes without generic parameters), use __name__ directly + if hasattr(annotation, '__name__') and not hasattr(annotation, '__origin__'): + return annotation.__name__ + + # For generic types (List[str], Dict[str, int], etc.), use string representation + # and clean up the typing module prefix + return str(annotation).replace('typing.', '') + + def _extract_decorator_name(self, decorator: ast.AST) -> Optional[str]: + """Extract the 'name' parameter from a decorator if present. + + Args: + decorator: AST node representing the decorator. + + Returns: + The name parameter value if found, None otherwise. + """ + # Check if decorator is a Call node (has arguments) + if isinstance(decorator, ast.Call): + # Look for name parameter in keyword arguments + for keyword in decorator.keywords: + if keyword.arg == 'name': + # Extract the string value + if isinstance(keyword.value, ast.Constant): + return keyword.value.value + return None + + def _get_name_from_decorator_if_exists(self, function_name: str) -> Optional[str]: + """Get the decorator's name parameter for a specific function. + + Args: + function_name: Name of the function to find. + + Returns: + The name parameter from the decorator if found, None otherwise. + """ + try: + with open(self.file_path, 'r', encoding='utf-8') as f: + source = f.read() + + tree = ast.parse(source) + + for node in ast.walk(tree): + if isinstance(node, ast.FunctionDef) and node.name == function_name: + # Check decorators for name parameter + for decorator in node.decorator_list: + decorator_name = self._extract_decorator_name(decorator) + if decorator_name: + return decorator_name + + return None + except Exception as e: + logger.debug(f"Could not extract decorator name from AST: {e}") + return None + + def _extract_function_metadata(self, function_name: str, module_name: str = "module") -> Dict[str, Any]: + """Extract metadata from a KFP function (component or pipeline). + + Args: + function_name: Name of the function to introspect. + module_name: Name to use for the module during import. + + Returns: + Dictionary containing extracted metadata. + """ + try: + # Import the module to get the actual function object + spec = importlib.util.spec_from_file_location(module_name, self.file_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + func_obj = getattr(module, function_name) + + # KFP decorators wrap functions; access the underlying function + # Components use 'python_func', pipelines use 'pipeline_func' + if hasattr(func_obj, 'python_func'): + func = func_obj.python_func + elif hasattr(func_obj, 'pipeline_func'): + func = func_obj.pipeline_func + else: + # Fallback to the object itself if neither attribute is available + func = func_obj + + # Try to get name from decorator, fall back to function name + decorator_name = self._get_name_from_decorator_if_exists(function_name) + component_name = decorator_name if decorator_name else function_name + + # Extract basic function information + metadata = { + 'name': component_name, + 'docstring': inspect.getdoc(func) or '', + 'signature': inspect.signature(func), + 'parameters': {}, + 'returns': {} + } + + # Parse docstring for Args and Returns sections + docstring_info = self._parse_google_docstring(metadata['docstring']) + metadata.update(docstring_info) + + # Extract parameter information + for param_name, param in metadata['signature'].parameters.items(): + param_info = { + 'name': param_name, + 'type': self._get_type_string(param.annotation), + 'default': param.default if param.default != inspect.Parameter.empty else None, + 'description': metadata.get('args', {}).get(param_name, '') + } + metadata['parameters'][param_name] = param_info + + # Extract return type information + return_annotation = metadata['signature'].return_annotation + if return_annotation != inspect.Signature.empty: + metadata['returns'] = { + 'type': self._get_type_string(return_annotation), + 'description': metadata.get('returns_description', '') + } + + return metadata + + except Exception as e: + logger.error(f"Error extracting metadata for function {function_name}: {e}") + return {} + + def extract_metadata(self, function_name: str) -> Dict[str, Any]: + raise NotImplementedError("Subclasses must implement this method") + + def find_function(self) -> Optional[str]: + raise NotImplementedError("Subclasses must implement this method") + + +class ComponentMetadataParser(MetadataParser): + """Introspects KFP component functions to extract documentation metadata.""" + + def find_function(self) -> Optional[str]: + """Find the function decorated with @dsl.component. + + Returns: + The name of the component function, or None if not found. + """ + try: + with open(self.file_path, 'r', encoding='utf-8') as f: + source = f.read() + + tree = ast.parse(source) + + for node in ast.walk(tree): + if isinstance(node, ast.FunctionDef): + # Check if function has @dsl.component decorator + for decorator in node.decorator_list: + if self._is_component_decorator(decorator): + return node.name + + return None + except Exception as e: + logger.error(f"Error parsing file {self.file_path}: {e}") + return None + + def _is_component_decorator(self, decorator: ast.AST) -> bool: + """Check if a decorator is a KFP component decorator. + + Supports the following decorator formats: + - @component (direct import: from kfp.dsl import component) + - @dsl.component (from kfp import dsl) + - @kfp.dsl.component (import kfp) + - All of the above with parentheses: @component(), @dsl.component(), etc. + + Args: + decorator: AST node representing the decorator. + + Returns: + True if the decorator is a KFP component decorator, False otherwise. + """ + if isinstance(decorator, ast.Attribute): + # Handle attribute-based decorators + if decorator.attr == 'component': + # Check for @dsl.component + if isinstance(decorator.value, ast.Name) and decorator.value.id == 'dsl': + return True + # Check for @kfp.dsl.component + if (isinstance(decorator.value, ast.Attribute) and + decorator.value.attr == 'dsl' and + isinstance(decorator.value.value, ast.Name) and + decorator.value.value.id == 'kfp'): + return True + return False + elif isinstance(decorator, ast.Call): + # Handle decorators with arguments (e.g., @component(), @dsl.component()) + return self._is_component_decorator(decorator.func) + elif isinstance(decorator, ast.Name): + # Handle @component (if imported directly) + return decorator.id == 'component' + return False + + + def extract_metadata(self, function_name: str) -> Dict[str, Any]: + """Extract metadata from the component function. + + Args: + function_name: Name of the component function to introspect. + + Returns: + Dictionary containing extracted metadata. + """ + return self._extract_function_metadata(function_name, "component_module") + + +class PipelineMetadataParser(MetadataParser): + """Introspects KFP pipeline functions to extract documentation metadata.""" + + def find_function(self) -> Optional[str]: + """Find the function decorated with @dsl.pipeline. + + Returns: + The name of the pipeline function, or None if not found. + """ + try: + with open(self.file_path, 'r', encoding='utf-8') as f: + source = f.read() + + tree = ast.parse(source) + + for node in ast.walk(tree): + if isinstance(node, ast.FunctionDef): + # Check if function has @dsl.pipeline decorator + for decorator in node.decorator_list: + if self._is_pipeline_decorator(decorator): + return node.name + + return None + except Exception as e: + logger.error(f"Error parsing file {self.file_path}: {e}") + return None + + def _is_pipeline_decorator(self, decorator: ast.AST) -> bool: + """Check if a decorator is a KFP pipeline decorator. + + Supports the following decorator formats: + - @pipeline (direct import: from kfp.dsl import pipeline) + - @dsl.pipeline (from kfp import dsl) + - @kfp.dsl.pipeline (import kfp) + - All of the above with parentheses: @pipeline(), @dsl.pipeline(), etc. + + Args: + decorator: AST node representing the decorator. + + Returns: + True if the decorator is a KFP pipeline decorator, False otherwise. + """ + if isinstance(decorator, ast.Attribute): + # Handle attribute-based decorators + if decorator.attr == 'pipeline': + # Check for @dsl.pipeline + if isinstance(decorator.value, ast.Name) and decorator.value.id == 'dsl': + return True + # Check for @kfp.dsl.pipeline + if (isinstance(decorator.value, ast.Attribute) and + decorator.value.attr == 'dsl' and + isinstance(decorator.value.value, ast.Name) and + decorator.value.value.id == 'kfp'): + return True + return False + elif isinstance(decorator, ast.Call): + # Handle decorators with arguments (e.g., @pipeline(), @dsl.pipeline()) + return self._is_pipeline_decorator(decorator.func) + elif isinstance(decorator, ast.Name): + # Handle @pipeline (if imported directly) + return decorator.id == 'pipeline' + return False + + def extract_metadata(self, function_name: str) -> Dict[str, Any]: + """Extract metadata from the pipeline function. + + Args: + function_name: Name of the pipeline function to introspect. + + Returns: + Dictionary containing extracted metadata. + """ + return self._extract_function_metadata(function_name, "pipeline_module") + diff --git a/scripts/generate_readme/tests/README.md b/scripts/generate_readme/tests/README.md new file mode 100644 index 0000000..0e004ed --- /dev/null +++ b/scripts/generate_readme/tests/README.md @@ -0,0 +1,140 @@ +# Generate README Tests + +Comprehensive unit tests for the `generate_readme` package. + +## Running Tests + +From the project root: + +```bash +# Run all tests +pytest scripts/generate_readme/tests/ + +# Run with verbose output +pytest scripts/generate_readme/tests/ -v + +# Run with coverage +pytest scripts/generate_readme/tests/ --cov=scripts.generate_readme + +# Run specific test file +pytest scripts/generate_readme/tests/test_metadata_parser.py + +# Run specific test class +pytest scripts/generate_readme/tests/test_metadata_parser.py::TestComponentMetadataParser + +# Run specific test +pytest scripts/generate_readme/tests/test_metadata_parser.py::TestComponentMetadataParser::test_find_function_with_dsl_component +``` + +## Test Structure + +``` +tests/ +├── __init__.py # Package initialization +├── conftest.py # Shared fixtures +├── test_cli.py # CLI argument parsing and validation tests +├── test_constants.py # Constants and configuration tests +├── test_content_generator.py # README content generation tests +├── test_metadata_parser.py # Metadata extraction tests +└── test_writer.py # Main generator orchestration tests +``` + +## Test Coverage + +### test_writer.py +- Initialization with component/pipeline directories +- Custom content extraction and preservation +- README file generation +- Output file customization +- Verbose logging +- Overwrite protection +- Complete end-to-end generation + +### test_metadata_parser.py +- Google-style docstring parsing +- Type annotation handling +- Component decorator detection (@dsl.component, @component, @kfp.dsl.component) +- Pipeline decorator detection (@dsl.pipeline, @pipeline, @kfp.dsl.pipeline) +- Function finding in AST +- Metadata extraction from decorated functions + +### test_content_generator.py +- YAML metadata loading +- Section generation (title, overview, inputs/outputs, usage examples, metadata) +- Component vs pipeline differentiation +- Usage example generation with correct types +- Custom content preservation +- Edge cases (empty metadata, missing fields) + +### test_cli.py +- Directory validation (component and pipeline) +- Argument parsing (--component, --pipeline, --verbose, --overwrite, --output) +- Error handling for invalid paths +- Short flag support (-v, -o) +- Help message display + +### test_constants.py +- Constant value validation +- Regex pattern testing +- Logger configuration + +## Fixtures + +### Shared Fixtures (conftest.py) +- `temp_dir`: Temporary directory for test files +- `sample_component_code`: Sample KFP component Python code +- `sample_pipeline_code`: Sample KFP pipeline Python code +- `sample_component_metadata`: Sample component metadata.yaml +- `sample_pipeline_metadata`: Sample pipeline metadata.yaml +- `component_dir`: Complete component directory with all files +- `pipeline_dir`: Complete pipeline directory with all files +- `sample_extracted_metadata`: Pre-extracted metadata dictionary + +## Dependencies + +Tests require: +- `pytest` - Testing framework +- `pytest-cov` (optional) - Coverage reporting +- `kfp` - Kubeflow Pipelines SDK (for fixtures) +- `pyyaml` - YAML parsing + +Install test dependencies: +```bash +pip install pytest pytest-cov +``` + +## Test Categories + +Tests are organized by module and cover: + +1. **Unit Tests**: Test individual functions and methods in isolation +2. **Integration Tests**: Test interaction between modules +3. **Edge Case Tests**: Test boundary conditions and error handling +4. **Fixture Tests**: Validate test fixtures and setup + +## Writing New Tests + +When adding new functionality: + +1. Add test fixtures to `conftest.py` if they're reusable +2. Create new test file or add to existing file in the appropriate module +3. Follow naming convention: `test_.py` +4. Use descriptive test names: `test__` +5. Include docstrings explaining what each test validates +6. Use appropriate fixtures from `conftest.py` + +Example: +```python +def test_new_feature_success_case(component_dir): + """Test that new feature works correctly with valid input.""" + # Arrange + generator = MyClass(component_dir) + + # Act + result = generator.new_feature() + + # Assert + assert result is not None + assert "expected" in result +``` + diff --git a/scripts/generate_readme/tests/__init__.py b/scripts/generate_readme/tests/__init__.py new file mode 100644 index 0000000..898c291 --- /dev/null +++ b/scripts/generate_readme/tests/__init__.py @@ -0,0 +1,2 @@ +"""Unit tests for the generate_readme package.""" + diff --git a/scripts/generate_readme/tests/conftest.py b/scripts/generate_readme/tests/conftest.py new file mode 100644 index 0000000..7dc0098 --- /dev/null +++ b/scripts/generate_readme/tests/conftest.py @@ -0,0 +1,224 @@ +"""Shared pytest fixtures for generate_readme tests.""" + +import tempfile +from pathlib import Path + +import pytest + + +@pytest.fixture +def temp_dir(): + """Create a temporary directory for testing.""" + with tempfile.TemporaryDirectory() as tmpdir: + yield Path(tmpdir) + + +@pytest.fixture +def sample_component_code(): + """Sample KFP component code without kfp imports.""" + return '''"""Sample component for testing.""" + +# Mock decorator to avoid kfp import +class component: + def __init__(self, func): + self.python_func = func + self.__name__ = func.__name__ + self.__doc__ = func.__doc__ + def __call__(self, *args, **kwargs): + return self.python_func(*args, **kwargs) + +@component +def sample_component( + input_path: str, + output_path: str, + num_iterations: int = 10 +) -> str: + """A sample component for testing. + + This component demonstrates basic functionality. + + Args: + input_path: Path to input file. + output_path: Path to output file. + num_iterations: Number of iterations to run. Defaults to 10. + + Returns: + Status message indicating completion. + """ + print(f"Processing {input_path}") + return f"Processed {num_iterations} iterations" +''' + + +@pytest.fixture +def sample_pipeline_code(): + """Sample KFP pipeline code without kfp imports.""" + return '''"""Sample pipeline for testing.""" + +# Mock decorator to avoid kfp import +class pipeline: + def __init__(self, **kwargs): + self.name = kwargs.get('name', '') + self.description = kwargs.get('description', '') + def __call__(self, func): + wrapper = type('PipelineWrapper', (), { + 'pipeline_func': func, + '__name__': func.__name__, + '__doc__': func.__doc__, + 'name': self.name, + 'description': self.description + })() + return wrapper + +@pipeline( + name='sample-pipeline', + description='A sample pipeline for testing' +) +def sample_pipeline( + data_path: str, + model_name: str = "default-model" +) -> str: + """A sample pipeline for testing. + + This pipeline demonstrates basic pipeline structure. + + Args: + data_path: Path to training data. + model_name: Name of the model to train. Defaults to "default-model". + + Returns: + Model identifier. + """ + return f"model-{model_name}" +''' + + +@pytest.fixture +def sample_component_metadata(): + """Sample component metadata.yaml content.""" + return """tier: core +name: sample_component +stability: stable +dependencies: + kubeflow: + - name: Pipelines + version: '>=2.5' + - name: Trainer + version: '>=2.0' + external_services: + - name: Some External Service + version: "1.0" +tags: + - testing + - sample +lastVerified: 2025-11-13T00:00:00Z +ci: + skip_dependency_probe: false + pytest: optional +links: + documentation: https://example.com/components/sample-component/ + issue_tracker: https://github.com/example/repo/issues +""" + + +@pytest.fixture +def sample_pipeline_metadata(): + """Sample pipeline metadata.yaml content.""" + return """name: sample_pipeline +description: A sample pipeline for testing +components: + - sample_component +image: mock-registry.example.com/mock-image:latest +tier: core +stability: stable +dependencies: + kubeflow: + - name: Pipelines + version: ">=2.5" + - name: Trainer + version: '>=2.0' + external_services: + - name: Some External Service + version: "1.0" +tags: + - testing + - pipeline +lastVerified: "2025-11-14 00:00:00+00:00" +links: + documentation: https://example.com/pipelines/sample-pipeline/ + issue_tracker: https://github.com/example/repo/issues +ci: + skip_dependency_probe: false + pytest: optional +""" + + +@pytest.fixture +def component_dir(temp_dir, sample_component_code, sample_component_metadata): + """Create a complete component directory structure.""" + comp_dir = temp_dir / "test_component" + comp_dir.mkdir() + + # Write component.py + (comp_dir / "component.py").write_text(sample_component_code) + + # Write metadata.yaml + (comp_dir / "metadata.yaml").write_text(sample_component_metadata) + + # Write __init__.py + (comp_dir / "__init__.py").write_text("") + + return comp_dir + + +@pytest.fixture +def pipeline_dir(temp_dir, sample_pipeline_code, sample_pipeline_metadata): + """Create a complete pipeline directory structure.""" + pipe_dir = temp_dir / "test_pipeline" + pipe_dir.mkdir() + + # Write pipeline.py + (pipe_dir / "pipeline.py").write_text(sample_pipeline_code) + + # Write metadata.yaml + (pipe_dir / "metadata.yaml").write_text(sample_pipeline_metadata) + + # Write __init__.py + (pipe_dir / "__init__.py").write_text("") + + return pipe_dir + + +@pytest.fixture +def sample_extracted_metadata(): + """Sample extracted metadata dictionary.""" + return { + 'name': 'sample_component', + 'docstring': 'A sample component for testing.\n\nThis component demonstrates basic functionality.', + 'overview': 'A sample component for testing.\n\nThis component demonstrates basic functionality.', + 'parameters': { + 'input_path': { + 'name': 'input_path', + 'type': 'str', + 'default': None, + 'description': 'Path to input file.' + }, + 'output_path': { + 'name': 'output_path', + 'type': 'str', + 'default': None, + 'description': 'Path to output file.' + }, + 'num_iterations': { + 'name': 'num_iterations', + 'type': 'int', + 'default': 10, + 'description': 'Number of iterations to run. Defaults to 10.' + } + }, + 'returns': { + 'type': 'str', + 'description': 'Status message indicating completion.' + } + } + diff --git a/scripts/generate_readme/tests/test_cli.py b/scripts/generate_readme/tests/test_cli.py new file mode 100644 index 0000000..859bac1 --- /dev/null +++ b/scripts/generate_readme/tests/test_cli.py @@ -0,0 +1,249 @@ +"""Tests for cli.py module.""" + +import argparse +from pathlib import Path + +import pytest + +from ..cli import ( + validate_component_directory, + validate_pipeline_directory, + parse_arguments, +) + + +class TestValidateComponentDirectory: + """Tests for validate_component_directory function.""" + + def test_valid_component_directory(self, component_dir): + """Test validation of a valid component directory.""" + result = validate_component_directory(str(component_dir)) + + assert result == component_dir + assert isinstance(result, Path) + + def test_nonexistent_directory(self): + """Test validation fails for non-existent directory.""" + with pytest.raises(argparse.ArgumentTypeError, match="does not exist"): + validate_component_directory("/nonexistent/path") + + def test_not_a_directory(self, temp_dir): + """Test validation fails for file instead of directory.""" + file_path = temp_dir / "file.txt" + file_path.write_text("content") + + with pytest.raises(argparse.ArgumentTypeError, match="not a directory"): + validate_component_directory(str(file_path)) + + def test_missing_component_file(self, temp_dir): + """Test validation fails when component.py is missing.""" + comp_dir = temp_dir / "component" + comp_dir.mkdir() + (comp_dir / "metadata.yaml").write_text("name: test") + + with pytest.raises(argparse.ArgumentTypeError, match="does not contain a component.py"): + validate_component_directory(str(comp_dir)) + + def test_missing_metadata_file(self, temp_dir): + """Test validation fails when metadata.yaml is missing.""" + comp_dir = temp_dir / "component" + comp_dir.mkdir() + (comp_dir / "component.py").write_text("# Component code") + + with pytest.raises(argparse.ArgumentTypeError, match="does not contain a metadata.yaml"): + validate_component_directory(str(comp_dir)) + + +class TestValidatePipelineDirectory: + """Tests for validate_pipeline_directory function.""" + + def test_valid_pipeline_directory(self, pipeline_dir): + """Test validation of a valid pipeline directory.""" + result = validate_pipeline_directory(str(pipeline_dir)) + + assert result == pipeline_dir + assert isinstance(result, Path) + + def test_nonexistent_directory(self): + """Test validation fails for non-existent directory.""" + with pytest.raises(argparse.ArgumentTypeError, match="does not exist"): + validate_pipeline_directory("/nonexistent/path") + + def test_not_a_directory(self, temp_dir): + """Test validation fails for file instead of directory.""" + file_path = temp_dir / "file.txt" + file_path.write_text("content") + + with pytest.raises(argparse.ArgumentTypeError, match="not a directory"): + validate_pipeline_directory(str(file_path)) + + def test_missing_pipeline_file(self, temp_dir): + """Test validation fails when pipeline.py is missing.""" + pipe_dir = temp_dir / "pipeline" + pipe_dir.mkdir() + (pipe_dir / "metadata.yaml").write_text("name: test") + + with pytest.raises(argparse.ArgumentTypeError, match="does not contain a pipeline.py"): + validate_pipeline_directory(str(pipe_dir)) + + def test_missing_metadata_file(self, temp_dir): + """Test validation fails when metadata.yaml is missing.""" + pipe_dir = temp_dir / "pipeline" + pipe_dir.mkdir() + (pipe_dir / "pipeline.py").write_text("# Pipeline code") + + with pytest.raises(argparse.ArgumentTypeError, match="does not contain a metadata.yaml"): + validate_pipeline_directory(str(pipe_dir)) + + +class TestParseArguments: + """Tests for parse_arguments function.""" + + def test_parse_component_argument(self, component_dir, monkeypatch): + """Test parsing --component argument.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', str(component_dir)] + ) + + args = parse_arguments() + + assert args.component == component_dir + assert args.pipeline is None + assert args.verbose is False + assert args.overwrite is False + + def test_parse_pipeline_argument(self, pipeline_dir, monkeypatch): + """Test parsing --pipeline argument.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--pipeline', str(pipeline_dir)] + ) + + args = parse_arguments() + + assert args.pipeline == pipeline_dir + assert args.component is None + + def test_parse_verbose_flag(self, component_dir, monkeypatch): + """Test parsing --verbose flag.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', str(component_dir), '--verbose'] + ) + + args = parse_arguments() + + assert args.verbose is True + + def test_parse_overwrite_flag(self, component_dir, monkeypatch): + """Test parsing --overwrite flag.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', str(component_dir), '--overwrite'] + ) + + args = parse_arguments() + + assert args.overwrite is True + + def test_parse_output_argument(self, component_dir, temp_dir, monkeypatch): + """Test parsing --output argument.""" + output_file = temp_dir / "custom_readme.md" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', str(component_dir), '--output', str(output_file)] + ) + + args = parse_arguments() + + assert args.output == output_file + + def test_parse_short_flags(self, component_dir, temp_dir, monkeypatch): + """Test parsing short flag versions.""" + output_file = temp_dir / "readme.md" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', str(component_dir), '-v', '-o', str(output_file)] + ) + + args = parse_arguments() + + assert args.verbose is True + assert args.output == output_file + + def test_parse_invalid_component_path(self, monkeypatch): + """Test parsing with invalid component path.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--component', '/invalid/path'] + ) + + with pytest.raises(SystemExit): + parse_arguments() + + def test_parse_no_arguments(self, monkeypatch): + """Test parsing with no arguments (should succeed but validation fails later).""" + monkeypatch.setattr( + 'sys.argv', + ['prog'] + ) + + # Should parse successfully, but component and pipeline will be None + args = parse_arguments() + + assert args.component is None + assert args.pipeline is None + + def test_help_message(self, monkeypatch, capsys): + """Test that help message can be displayed.""" + monkeypatch.setattr( + 'sys.argv', + ['prog', '--help'] + ) + + with pytest.raises(SystemExit) as exc_info: + parse_arguments() + + # Help should exit with code 0 + assert exc_info.value.code == 0 + + captured = capsys.readouterr() + assert 'Generate README.md documentation' in captured.out + assert '--component' in captured.out + assert '--pipeline' in captured.out + + +class TestCLIIntegration: + """Integration tests for CLI functionality.""" + + def test_component_and_pipeline_validation(self, component_dir, pipeline_dir): + """Test that providing both component and pipeline is handled correctly.""" + # The validation happens in main(), not parse_arguments() + # Here we just ensure both can be parsed + comp_result = validate_component_directory(str(component_dir)) + pipe_result = validate_pipeline_directory(str(pipeline_dir)) + + assert comp_result == component_dir + assert pipe_result == pipeline_dir + + def test_path_conversion(self, component_dir): + """Test that string paths are converted to Path objects.""" + result = validate_component_directory(str(component_dir)) + + assert isinstance(result, Path) + assert result.is_dir() + + def test_relative_path_validation(self, component_dir, monkeypatch): + """Test validation works with relative paths.""" + # Change to parent directory and use relative path + parent = component_dir.parent + relative_path = component_dir.name + + monkeypatch.chdir(parent) + result = validate_component_directory(relative_path) + + # Result should be a valid Path object + assert isinstance(result, Path) + assert result.name == component_dir.name + diff --git a/scripts/generate_readme/tests/test_constants.py b/scripts/generate_readme/tests/test_constants.py new file mode 100644 index 0000000..53e52ba --- /dev/null +++ b/scripts/generate_readme/tests/test_constants.py @@ -0,0 +1,29 @@ +"""Tests for constants.py module.""" + +from ..constants import ( + CUSTOM_CONTENT_MARKER, + logger, +) + + +class TestConstants: + """Tests for module constants.""" + + def test_custom_content_marker_format(self): + """Test that custom content marker is in HTML comment format.""" + assert CUSTOM_CONTENT_MARKER.startswith('') + assert 'custom-content' in CUSTOM_CONTENT_MARKER + + def test_logger_exists(self): + """Test that logger is configured.""" + import logging + + assert logger is not None + assert isinstance(logger, logging.Logger) + + def test_logger_name(self): + """Test that logger has correct name.""" + # Logger should have a name from the constants module + assert 'constants' in logger.name + diff --git a/scripts/generate_readme/tests/test_content_generator.py b/scripts/generate_readme/tests/test_content_generator.py new file mode 100644 index 0000000..59fca50 --- /dev/null +++ b/scripts/generate_readme/tests/test_content_generator.py @@ -0,0 +1,451 @@ +"""Tests for content_generator.py module.""" + +from pathlib import Path + +import pytest + +from ..content_generator import ReadmeContentGenerator + + +class TestReadmeContentGenerator: + """Tests for ReadmeContentGenerator.""" + + def test_init_with_component(self, component_dir, sample_extracted_metadata): + """Test initialization with component metadata.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert generator.metadata == sample_extracted_metadata + assert generator.feature_metadata is not None + + def test_init_with_pipeline(self, pipeline_dir, sample_extracted_metadata): + """Test initialization with pipeline metadata.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + pipeline_dir + ) + + assert generator.metadata == sample_extracted_metadata + + def test_load_feature_metadata(self, component_dir, sample_extracted_metadata): + """Test loading YAML metadata from file.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert 'name' in generator.feature_metadata + assert generator.feature_metadata['name'] == 'sample_component' + assert 'tier' in generator.feature_metadata + + def test_load_feature_metadata_excludes_ci(self, temp_dir, sample_extracted_metadata): + """Test that 'ci' field is excluded from YAML metadata.""" + metadata_file = temp_dir / "metadata.yaml" + metadata_file.write_text("""name: test +tier: core +ci: + test: value + another: field +""") + + generator = ReadmeContentGenerator( + sample_extracted_metadata, + temp_dir + ) + + assert 'ci' not in generator.feature_metadata + assert 'name' in generator.feature_metadata + assert 'tier' in generator.feature_metadata + + def test_load_owners_file_exists(self, component_dir, sample_extracted_metadata): + """Test loading OWNERS file when it exists.""" + # Create an OWNERS file + owners_file = component_dir / "OWNERS" + owners_file.write_text("""approvers: + - user1 + - user2 +reviewers: + - user3 + - user4 +""") + + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + # Check that owners were loaded into feature_metadata + assert 'owners' in generator.feature_metadata + assert 'approvers' in generator.feature_metadata['owners'] + assert 'reviewers' in generator.feature_metadata['owners'] + assert generator.feature_metadata['owners']['approvers'] == ['user1', 'user2'] + assert generator.feature_metadata['owners']['reviewers'] == ['user3', 'user4'] + + def test_load_owners_file_not_exists(self, component_dir, sample_extracted_metadata): + """Test that missing OWNERS file doesn't cause errors.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + # Should not have owners in feature_metadata when OWNERS doesn't exist + assert 'owners' not in generator.feature_metadata + + def test_owners_in_generated_readme(self, component_dir, sample_extracted_metadata): + """Test that OWNERS data appears in generated README.""" + # Create an OWNERS file + owners_file = component_dir / "OWNERS" + owners_file.write_text("""approvers: + - alice + - bob +reviewers: + - charlie +""") + + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + readme = generator.generate_readme() + + # Check that owners appear in the README + assert 'Owners' in readme + assert 'alice' in readme + assert 'bob' in readme + assert 'charlie' in readme + assert 'Approvers' in readme or 'approvers' in readme.lower() + assert 'Reviewers' in readme or 'reviewers' in readme.lower() + + def test_links_in_additional_resources_section(self, component_dir, sample_extracted_metadata): + """Test that links appear in Additional Resources section, not Metadata.""" + # Update metadata.yaml to include links + metadata_file = component_dir / "metadata.yaml" + metadata_file.write_text("""name: sample_component +tier: core +stability: stable +tags: + - testing +links: + documentation: https://example.com/docs + issue_tracker: https://github.com/example/issues + source_code: https://github.com/example/code +""") + + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + readme = generator.generate_readme() + + # Check that Additional Resources section exists + assert '## Additional Resources' in readme + + # Check that links appear in Additional Resources + assert 'https://example.com/docs' in readme + assert 'https://github.com/example/issues' in readme + assert 'https://github.com/example/code' in readme + assert 'Documentation' in readme + assert 'Issue Tracker' in readme + assert 'Source Code' in readme + + # Verify links are NOT in the Metadata section + # Extract just the metadata section + lines = readme.split('\n') + metadata_section = [] + in_metadata = False + for line in lines: + if '## Metadata' in line: + in_metadata = True + elif in_metadata and line.startswith('##'): + break + if in_metadata: + metadata_section.append(line) + + metadata_text = '\n'.join(metadata_section) + # Links should not appear as a bullet point in metadata + assert '- **Links**:' not in metadata_text + + def test_no_links_no_additional_resources_section(self, component_dir, sample_extracted_metadata): + """Test that Additional Resources section is omitted when no links exist.""" + # Remove links from metadata.yaml to test no-links case + import yaml + metadata_file = component_dir / 'metadata.yaml' + with open(metadata_file) as f: + metadata = yaml.safe_load(f) + metadata.pop('links', None) + with open(metadata_file, 'w') as f: + yaml.dump(metadata, f) + + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + readme = generator.generate_readme() + + # Additional Resources section should NOT exist + assert '## Additional Resources' not in readme + + def test_prepare_template_context(self, component_dir, sample_extracted_metadata): + """Test template context preparation.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + context = generator._prepare_template_context() + + # Check all required context keys are present + assert 'title' in context + assert 'overview' in context + assert 'parameters' in context + assert 'returns' in context + assert 'component_name' in context + assert 'example_code' in context + assert 'formatted_metadata' in context + + # Check title is properly formatted + assert context['title'] == 'Sample Component' + assert context['component_name'] == 'sample_component' + + # Check example_code is empty string when no example_pipeline.py exists + assert context['example_code'] == '' + + # Check formatted metadata exists + assert isinstance(context['formatted_metadata'], dict) + assert len(context['formatted_metadata']) > 0 + + def test_prepare_template_context_custom_overview(self, component_dir): + """Test template context with custom overview text.""" + custom_metadata = { + 'name': 'test_component', + 'overview': 'This is a custom overview text.', + 'parameters': {}, + 'returns': {} + } + + generator = ReadmeContentGenerator( + custom_metadata, + component_dir + ) + + context = generator._prepare_template_context() + + assert context['overview'] == 'This is a custom overview text.' + + def test_prepare_template_context_parameters(self, component_dir, sample_extracted_metadata): + """Test that parameters are properly formatted in context.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + context = generator._prepare_template_context() + + # Check parameters have required fields + assert 'input_path' in context['parameters'] + assert 'type' in context['parameters']['input_path'] + assert 'default_str' in context['parameters']['input_path'] + assert 'description' in context['parameters']['input_path'] + + # Check defaults are formatted correctly + assert context['parameters']['input_path']['default_str'] == 'Required' + assert context['parameters']['num_iterations']['default_str'] == '`10`' + + def test_load_example_pipeline(self, component_dir, sample_extracted_metadata): + """Test loading example_pipeline.py file.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + # When no example_pipeline.py exists, should return empty string + example_code = generator._load_example_pipeline() + assert example_code == '' + + # Create an example_pipeline.py file + example_file = component_dir / 'example_pipeline.py' + example_content = 'from kfp import dsl\n\n@dsl.pipeline()\ndef my_pipeline():\n pass' + example_file.write_text(example_content) + + # Now it should load the content + example_code = generator._load_example_pipeline() + assert example_code == example_content + + def test_generate_readme_component(self, component_dir, sample_extracted_metadata): + """Test complete README generation for a component.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + readme = generator.generate_readme() + + # Check all sections are present (except Usage Example since no example_pipeline.py exists) + assert '# Sample Component' in readme + assert '## Overview' in readme + assert '## Inputs' in readme + assert '## Outputs' in readme + assert '## Metadata' in readme + + # Usage Example should NOT be present when example_pipeline.py doesn't exist + assert '## Usage Example' not in readme + + # Now test with example_pipeline.py present + example_file = component_dir / 'example_pipeline.py' + example_file.write_text('from kfp import dsl\n\n@dsl.pipeline()\ndef test_pipeline():\n pass') + + # Regenerate readme + generator2 = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + readme2 = generator2.generate_readme() + + # Now Usage Example should be present + assert '## Usage Example' in readme2 + assert 'from kfp import dsl' in readme2 + + def test_generate_readme_pipeline(self, pipeline_dir, sample_extracted_metadata): + """Test complete README generation for a pipeline.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + pipeline_dir + ) + + readme = generator.generate_readme() + + # Check sections are present + # Title should use name from metadata.yaml, not function name + assert '# Sample Pipeline' in readme + assert '## Overview' in readme + assert '## Inputs' in readme + assert '## Outputs' in readme + assert '## Metadata' in readme + + # Usage example should NOT be present for pipelines + assert '## Usage Example' not in readme + + def test_generate_readme_empty_metadata(self, temp_dir): + """Test README generation with empty metadata.""" + metadata_file = temp_dir / "metadata.yaml" + metadata_file.write_text("name: test\n") + + minimal_metadata = { + 'name': 'test', + 'overview': '', + 'parameters': {}, + 'returns': {} + } + + generator = ReadmeContentGenerator( + minimal_metadata, + temp_dir + ) + + readme = generator.generate_readme() + + # Should still generate basic sections + assert '# Test' in readme + assert '## Overview' in readme + + def test_format_key_snake_case(self, component_dir, sample_extracted_metadata): + """Test formatting snake_case keys.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert generator._format_key('my_field_name') == 'My Field Name' + assert generator._format_key('test_value') == 'Test Value' + assert generator._format_key('single') == 'Single' + + def test_format_key_camel_case(self, component_dir, sample_extracted_metadata): + """Test formatting camelCase keys.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert generator._format_key('myFieldName') == 'My Field Name' + assert generator._format_key('testValue') == 'Test Value' + + def test_format_key_acronyms(self, component_dir, sample_extracted_metadata): + """Test that known acronyms are kept uppercase.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert generator._format_key('kfp_version') == 'KFP Version' + assert generator._format_key('api_endpoint') == 'API Endpoint' + assert generator._format_key('user_id') == 'User ID' + + def test_format_value_basic_types(self, component_dir, sample_extracted_metadata): + """Test formatting basic value types.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + assert generator._format_value(True) == 'Yes' + assert generator._format_value(False) == 'No' + assert generator._format_value('test string') == 'test string' + assert generator._format_value(123) == '123' + assert generator._format_value(None) == 'None' + + def test_format_value_list(self, component_dir, sample_extracted_metadata): + """Test formatting list values.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + # Single item list - should still use nested list format + result_single = generator._format_value(['item1']) + assert '\n - item1' in result_single + + # Multiple items list + result = generator._format_value(['item1', 'item2', 'item3']) + assert '\n - item1' in result + assert '\n - item2' in result + assert '\n - item3' in result + + # Empty list + assert generator._format_value([]) == 'None' + + def test_format_value_dict(self, component_dir, sample_extracted_metadata): + """Test formatting dict values.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + test_dict = {'key1': 'value1', 'key2': 'value2'} + result = generator._format_value(test_dict) + + assert 'Key1: value1' in result + assert 'Key2: value2' in result + assert '\n - ' in result + + def test_format_metadata(self, component_dir, sample_extracted_metadata): + """Test complete metadata formatting.""" + generator = ReadmeContentGenerator( + sample_extracted_metadata, + component_dir + ) + + formatted = generator._format_metadata() + + # Check that keys are formatted + assert 'Name' in formatted + assert 'Tier' in formatted + + # Check that values are present + assert formatted['Name'] == 'sample_component' + assert formatted['Tier'] == 'core' + diff --git a/scripts/generate_readme/tests/test_metadata_parser.py b/scripts/generate_readme/tests/test_metadata_parser.py new file mode 100644 index 0000000..b310731 --- /dev/null +++ b/scripts/generate_readme/tests/test_metadata_parser.py @@ -0,0 +1,388 @@ +"""Tests for metadata_parser.py module.""" + +import ast +from pathlib import Path + +import pytest + +from ..metadata_parser import ( + ComponentMetadataParser, + MetadataParser, + PipelineMetadataParser, +) + + +class TestMetadataParser: + """Tests for the MetadataParser base class.""" + + def test_parse_google_docstring_with_args_and_returns(self): + """Test parsing a complete Google-style docstring.""" + parser = MetadataParser(Path("dummy.py")) + docstring = """A sample function. + + This does something useful. + + Args: + param1 (str): First parameter description. + param2 (int): Second parameter description. + + Returns: + The result of processing. + """ + + result = parser._parse_google_docstring(docstring) + + # docstring-parser normalizes whitespace and joins short + long description + assert result['overview'] == "A sample function.\n\nThis does something useful." + assert 'param1' in result['args'] + assert result['args']['param1'] == "First parameter description." + assert result['args']['param2'] == "Second parameter description." + assert 'result of processing' in result['returns_description'] + + def test_parse_google_docstring_empty(self): + """Test parsing an empty docstring.""" + parser = MetadataParser(Path("dummy.py")) + result = parser._parse_google_docstring("") + + assert result['overview'] == '' + assert result['args'] == {} + assert result['returns_description'] == '' + + def test_parse_google_docstring_multiline_arg_description(self): + """Test parsing arguments with multi-line descriptions.""" + parser = MetadataParser(Path("dummy.py")) + docstring = """Sample function. + + Args: + long_param (str): This is a very long parameter description + that spans multiple lines and should be concatenated together. + """ + + result = parser._parse_google_docstring(docstring) + + assert 'long_param' in result['args'] + assert 'multiple lines' in result['args']['long_param'] + assert 'concatenated together' in result['args']['long_param'] + + def test_get_type_string_basic_types(self): + """Test type string conversion for basic types.""" + parser = MetadataParser(Path("dummy.py")) + + assert parser._get_type_string(str) == 'str' + assert parser._get_type_string(int) == 'int' + assert parser._get_type_string(bool) == 'bool' + assert parser._get_type_string(float) == 'float' + + def test_get_type_string_optional(self): + """Test type string conversion for Optional types.""" + from typing import Optional + + parser = MetadataParser(Path("dummy.py")) + result = parser._get_type_string(Optional[str]) + + # Should contain Optional (or Union with None in some Python versions) + assert 'Optional' in result or ('Union' in result and 'None' in result) + + def test_get_type_string_list(self): + """Test type string conversion for List types.""" + from typing import List + + parser = MetadataParser(Path("dummy.py")) + result = parser._get_type_string(List[str]) + + # Should contain list (or List) - case insensitive check + assert 'list' in result.lower() + + +class TestComponentMetadataParser: + """Tests for ComponentMetadataParser.""" + + def test_find_function_with_dsl_component(self, temp_dir): + """Test finding a function with @dsl.component decorator.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +from kfp import dsl + +@dsl.component +def my_component(param: str): + pass +""") + + parser = ComponentMetadataParser(component_file) + result = parser.find_function() + + assert result == "my_component" + + def test_find_function_with_component_decorator(self, temp_dir): + """Test finding a function with @component decorator.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +from kfp.dsl import component + +@component +def my_component(param: str): + pass +""") + + parser = ComponentMetadataParser(component_file) + result = parser.find_function() + + assert result == "my_component" + + def test_find_function_with_call_decorator(self, temp_dir): + """Test finding a function with @dsl.component() decorator.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +from kfp import dsl + +@dsl.component() +def my_component(param: str): + pass +""") + + parser = ComponentMetadataParser(component_file) + result = parser.find_function() + + assert result == "my_component" + + def test_find_function_not_found(self, temp_dir): + """Test when no component function is found.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +def regular_function(param: str): + pass +""") + + parser = ComponentMetadataParser(component_file) + result = parser.find_function() + + assert result is None + + def test_is_component_decorator_dsl_component(self): + """Test _is_component_decorator with @dsl.component.""" + parser = ComponentMetadataParser(Path("dummy.py")) + + # Create AST node for @dsl.component + code = "@dsl.component\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_component_decorator(decorator) is True + + def test_is_component_decorator_direct_import(self): + """Test _is_component_decorator with @component.""" + parser = ComponentMetadataParser(Path("dummy.py")) + + # Create AST node for @component + code = "@component\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_component_decorator(decorator) is True + + def test_is_component_decorator_kfp_dsl_component(self): + """Test _is_component_decorator with @kfp.dsl.component.""" + parser = ComponentMetadataParser(Path("dummy.py")) + + # Create AST node for @kfp.dsl.component + code = "@kfp.dsl.component\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_component_decorator(decorator) is True + + def test_is_component_decorator_wrong_decorator(self): + """Test _is_component_decorator with non-component decorator.""" + parser = ComponentMetadataParser(Path("dummy.py")) + + # Create AST node for @pipeline + code = "@pipeline\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_component_decorator(decorator) is False + + def test_extract_decorator_name_component(self, temp_dir): + """Test extracting name parameter from @dsl.component decorator.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +from kfp import dsl + +@dsl.component(name='custom-component-name', base_image='python:3.10') +def my_component(param: str) -> str: + '''A component with custom name in decorator. + + Args: + param: Input parameter. + + Returns: + Output value. + ''' + return param +""") + + parser = ComponentMetadataParser(component_file) + + # Test finding the function + function_name = parser.find_function() + assert function_name == 'my_component' + + # Test extracting decorator name from AST (without executing the code) + decorator_name = parser._get_name_from_decorator_if_exists('my_component') + + # Should extract the decorator name + assert decorator_name == 'custom-component-name' + + def test_extract_decorator_name_component_no_name(self, temp_dir): + """Test extracting name when decorator has no name parameter.""" + component_file = temp_dir / "component.py" + component_file.write_text(""" +from kfp import dsl + +@dsl.component(base_image='python:3.10') +def my_component(param: str) -> str: + '''A component without custom name in decorator.''' + return param +""") + + parser = ComponentMetadataParser(component_file) + + # Test extracting decorator name (should return None) + decorator_name = parser._get_name_from_decorator_if_exists('my_component') + + # Should return None when no name in decorator + assert decorator_name is None + + +class TestPipelineMetadataParser: + """Tests for PipelineMetadataParser.""" + + def test_find_function_with_dsl_pipeline(self, temp_dir): + """Test finding a function with @dsl.pipeline decorator.""" + pipeline_file = temp_dir / "pipeline.py" + pipeline_file.write_text(""" +from kfp import dsl + +@dsl.pipeline(name='test-pipeline') +def my_pipeline(param: str): + pass +""") + + parser = PipelineMetadataParser(pipeline_file) + result = parser.find_function() + + assert result == "my_pipeline" + + def test_find_function_with_pipeline_decorator(self, temp_dir): + """Test finding a function with @pipeline decorator.""" + pipeline_file = temp_dir / "pipeline.py" + pipeline_file.write_text(""" +from kfp.dsl import pipeline + +@pipeline +def my_pipeline(param: str): + pass +""") + + parser = PipelineMetadataParser(pipeline_file) + result = parser.find_function() + + assert result == "my_pipeline" + + def test_find_function_not_found(self, temp_dir): + """Test when no pipeline function is found.""" + pipeline_file = temp_dir / "pipeline.py" + pipeline_file.write_text(""" +def regular_function(param: str): + pass +""") + + parser = PipelineMetadataParser(pipeline_file) + result = parser.find_function() + + assert result is None + + def test_is_pipeline_decorator_dsl_pipeline(self): + """Test _is_pipeline_decorator with @dsl.pipeline.""" + parser = PipelineMetadataParser(Path("dummy.py")) + + # Create AST node for @dsl.pipeline + code = "@dsl.pipeline\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_pipeline_decorator(decorator) is True + + def test_is_pipeline_decorator_with_args(self): + """Test _is_pipeline_decorator with @dsl.pipeline(name='test').""" + parser = PipelineMetadataParser(Path("dummy.py")) + + # Create AST node for @dsl.pipeline(name='test') + code = "@dsl.pipeline(name='test')\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_pipeline_decorator(decorator) is True + + def test_is_pipeline_decorator_wrong_decorator(self): + """Test _is_pipeline_decorator with non-pipeline decorator.""" + parser = PipelineMetadataParser(Path("dummy.py")) + + # Create AST node for @component + code = "@component\ndef func(): pass" + tree = ast.parse(code) + decorator = tree.body[0].decorator_list[0] + + assert parser._is_pipeline_decorator(decorator) is False + + def test_extract_decorator_name_pipeline(self, temp_dir): + """Test extracting name parameter from @dsl.pipeline decorator.""" + pipeline_file = temp_dir / "pipeline.py" + pipeline_file.write_text(""" +from kfp import dsl + +@dsl.pipeline(name='custom-pipeline-name', description='A test pipeline') +def my_pipeline(input_data: str) -> str: + '''A pipeline with custom name in decorator. + + Args: + input_data: Input data path. + + Returns: + Output data path. + ''' + return input_data +""") + + parser = PipelineMetadataParser(pipeline_file) + + # Test finding the function + function_name = parser.find_function() + assert function_name == 'my_pipeline' + + # Test extracting decorator name from AST (without executing the code) + decorator_name = parser._get_name_from_decorator_if_exists('my_pipeline') + + # Should extract the decorator name + assert decorator_name == 'custom-pipeline-name' + + def test_extract_decorator_name_pipeline_no_name(self, temp_dir): + """Test extracting name when decorator has no name parameter.""" + pipeline_file = temp_dir / "pipeline.py" + pipeline_file.write_text(""" +from kfp import dsl + +@dsl.pipeline(description='A test pipeline') +def my_pipeline(input_data: str) -> str: + '''A pipeline without custom name in decorator.''' + return input_data +""") + + parser = PipelineMetadataParser(pipeline_file) + + # Test extracting decorator name (should return None) + decorator_name = parser._get_name_from_decorator_if_exists('my_pipeline') + + # Should return None when no name in decorator + assert decorator_name is None + diff --git a/scripts/generate_readme/tests/test_writer.py b/scripts/generate_readme/tests/test_writer.py new file mode 100644 index 0000000..712e415 --- /dev/null +++ b/scripts/generate_readme/tests/test_writer.py @@ -0,0 +1,290 @@ +"""Tests for writer.py module.""" + +from pathlib import Path + +import pytest + +from ..constants import CUSTOM_CONTENT_MARKER +from ..writer import ReadmeWriter + + +class TestReadmeWriter: + """Tests for ReadmeWriter.""" + + def test_init_with_component(self, component_dir): + """Test initialization with component directory.""" + generator = ReadmeWriter( + component_dir=component_dir, + verbose=False, + overwrite=True + ) + + assert generator.is_component is True + assert generator.source_dir == component_dir + assert generator.source_file == component_dir / 'component.py' + assert generator.metadata_file == component_dir / 'metadata.yaml' + + def test_init_with_pipeline(self, pipeline_dir): + """Test initialization with pipeline directory.""" + generator = ReadmeWriter( + pipeline_dir=pipeline_dir, + verbose=False, + overwrite=True + ) + + assert generator.is_component is False + assert generator.source_dir == pipeline_dir + assert generator.source_file == pipeline_dir / 'pipeline.py' + assert generator.metadata_file == pipeline_dir / 'metadata.yaml' + + def test_init_requires_one_directory(self): + """Test that initialization requires exactly one directory.""" + with pytest.raises(AssertionError): + ReadmeWriter() # Neither provided + + def test_init_rejects_both_directories(self, component_dir, pipeline_dir): + """Test that initialization rejects both directories.""" + with pytest.raises(AssertionError): + ReadmeWriter( + component_dir=component_dir, + pipeline_dir=pipeline_dir + ) + + def test_extract_custom_content_not_exists(self, component_dir): + """Test extracting custom content when README doesn't exist.""" + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + + result = generator._extract_custom_content() + + assert result is None + + def test_extract_custom_content_no_marker(self, component_dir): + """Test extracting custom content when marker doesn't exist.""" + readme_file = component_dir / "README.md" + readme_file.write_text("# Test\n\nSome content without marker") + + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + + result = generator._extract_custom_content() + + assert result is None + + def test_extract_custom_content_with_marker(self, component_dir): + """Test extracting custom content when marker exists.""" + custom_text = "## Custom Section\n\nThis is custom content." + readme_content = f"# Test\n\nAuto-generated content\n\n{CUSTOM_CONTENT_MARKER}\n\n{custom_text}" + + readme_file = component_dir / "README.md" + readme_file.write_text(readme_content) + + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + + result = generator._extract_custom_content() + + assert result is not None + assert CUSTOM_CONTENT_MARKER in result + assert "Custom Section" in result + assert "custom content" in result + + def test_generate_component_readme(self, component_dir): + """Test generating README for a component.""" + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + + generator.generate() + + readme_file = component_dir / "README.md" + assert readme_file.exists() + + content = readme_file.read_text() + assert "# Sample Component" in content + assert "## Overview" in content + assert "## Inputs" in content + assert "## Outputs" in content + # Usage Example should NOT be present when example_pipeline.py doesn't exist + assert "## Usage Example" not in content + assert "## Metadata" in content + + def test_generate_pipeline_readme(self, pipeline_dir): + """Test generating README for a pipeline.""" + generator = ReadmeWriter( + pipeline_dir=pipeline_dir, + overwrite=True + ) + + generator.generate() + + readme_file = pipeline_dir / "README.md" + assert readme_file.exists() + + content = readme_file.read_text() + assert "# Sample Pipeline" in content + assert "## Overview" in content + assert "## Usage Example" not in content # Pipelines don't have usage examples + + def test_generate_preserves_custom_content(self, component_dir): + """Test that generation preserves custom content.""" + # Create initial README with custom content + custom_text = "## My Custom Section\n\nThis should be preserved." + initial_content = f"# Test\n\n{CUSTOM_CONTENT_MARKER}\n\n{custom_text}" + + readme_file = component_dir / "README.md" + readme_file.write_text(initial_content) + + # Generate new README + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + generator.generate() + + # Check that custom content was preserved + new_content = readme_file.read_text() + assert CUSTOM_CONTENT_MARKER in new_content + assert "My Custom Section" in new_content + assert "This should be preserved" in new_content + + def test_custom_output_file(self, component_dir, temp_dir): + """Test generating README to a custom output file.""" + custom_output = temp_dir / "CUSTOM_README.md" + + generator = ReadmeWriter( + component_dir=component_dir, + output_file=custom_output, + overwrite=True + ) + generator.generate() + + assert custom_output.exists() + assert (component_dir / "README.md").exists() is False + + content = custom_output.read_text() + assert "# Sample Component" in content + + def test_generate_with_verbose(self, component_dir, caplog): + """Test that verbose mode produces debug output.""" + import logging + + caplog.set_level(logging.DEBUG) + + generator = ReadmeWriter( + component_dir=component_dir, + verbose=True, + overwrite=True + ) + generator.generate() + + # Check that debug messages were logged + assert any('Analyzing file' in record.message for record in caplog.records) + assert any('Found target decorated function' in record.message for record in caplog.records) + + def test_write_readme_file_with_overwrite(self, component_dir): + """Test writing README with overwrite flag.""" + readme_file = component_dir / "README.md" + readme_file.write_text("Old content") + + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + + # This should not raise and should overwrite + generator._write_readme_file("New content") + + assert readme_file.read_text() == "New content" + + def test_write_readme_file_errors_without_overwrite(self, component_dir): + """Test that writing README errors when file exists and overwrite is not set.""" + import pytest + + readme_file = component_dir / "README.md" + readme_file.write_text("Existing content") + + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=False + ) + + # Should raise SystemExit when README exists and overwrite is False + with pytest.raises(SystemExit) as exc_info: + generator._write_readme_file("New content") + + assert exc_info.value.code == 1 + # Original content should be preserved + assert readme_file.read_text() == "Existing content" + + def test_readme_includes_all_parameters(self, component_dir): + """Test that generated README includes all component parameters.""" + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + generator.generate() + + readme_file = component_dir / "README.md" + content = readme_file.read_text() + + # Check all parameters are documented + assert 'input_path' in content + assert 'output_path' in content + assert 'num_iterations' in content + assert 'Path to input file' in content + assert 'Path to output file' in content + + def test_readme_format_is_markdown(self, component_dir): + """Test that generated README is valid markdown.""" + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + generator.generate() + + readme_file = component_dir / "README.md" + content = readme_file.read_text() + + # Check markdown formatting + assert content.startswith('#') # Has headers + assert '|' in content # Has tables + assert '##' in content # Has subheaders + + def test_readme_with_example_pipeline(self, component_dir): + """Test that README includes usage example when example_pipeline.py exists.""" + # Create example_pipeline.py file + example_file = component_dir / 'example_pipeline.py' + example_content = '''from kfp import dsl +from kfp_components.sample_component import sample_component + +@dsl.pipeline(name='example-pipeline') +def my_pipeline(): + sample_component_task = sample_component( + input_path="input.txt", + output_path="output.txt", + ) +''' + example_file.write_text(example_content) + + generator = ReadmeWriter( + component_dir=component_dir, + overwrite=True + ) + generator.generate() + + readme_file = component_dir / "README.md" + content = readme_file.read_text() + + # Now code blocks should be present + assert '```' in content # Has code blocks + assert '## Usage Example' in content + assert 'from kfp import dsl' in content + diff --git a/scripts/generate_readme/writer.py b/scripts/generate_readme/writer.py new file mode 100644 index 0000000..a09c378 --- /dev/null +++ b/scripts/generate_readme/writer.py @@ -0,0 +1,154 @@ +"""README writer for KFP components and pipelines.""" + +import logging +import sys +from pathlib import Path +from typing import Optional + +from .constants import CUSTOM_CONTENT_MARKER, logger +from .content_generator import ReadmeContentGenerator +from .metadata_parser import ComponentMetadataParser, PipelineMetadataParser + + +class ReadmeWriter: + """Writes README documentation for Kubeflow Pipelines components and pipelines.""" + + def __init__(self, component_dir: Optional[Path] = None, pipeline_dir: Optional[Path] = None, + output_file: Optional[Path] = None, verbose: bool = False, overwrite: bool = False): + """Initialize the README writer. + + Args: + component_dir: Path to the component directory (must contain component.py and metadata.yaml). + pipeline_dir: Path to the pipeline directory (must contain pipeline.py and metadata.yaml). + output_file: Optional output path for the generated README. + verbose: Enable verbose logging output. + overwrite: Overwrite existing README without prompting. + """ + # Validate that at least one of component_dir or pipeline_dir is provided + assert component_dir or pipeline_dir, "Either component_dir or pipeline_dir must be provided" + assert not (component_dir and pipeline_dir), "Cannot specify both component_dir and pipeline_dir" + self.is_component = component_dir is not None + + # Determine which type we're generating for + if self.is_component: + self.source_dir = component_dir + self.source_file = component_dir / 'component.py' + self.parser = ComponentMetadataParser(self.source_file) + else: + self.source_dir = pipeline_dir + self.source_file = pipeline_dir / 'pipeline.py' + self.parser = PipelineMetadataParser(self.source_file) + + self.metadata_file = self.source_dir / 'metadata.yaml' + self.readme_file = output_file if output_file else self.source_dir / "README.md" + self.verbose = verbose + self.overwrite = overwrite + + # Configure logging + self._configure_logging() + + def _configure_logging(self) -> None: + """Configure logging based on verbose flag.""" + log_level = logging.DEBUG if self.verbose else logging.INFO + logging.basicConfig( + level=log_level, + format='%(levelname)s: %(message)s' + ) + + def _extract_custom_content(self) -> Optional[str]: + """Extract custom content from existing README if it has a custom-content marker. + + Returns: + The custom content (including marker) if found, None otherwise. + """ + if not self.readme_file.exists(): + return None + + try: + with open(self.readme_file, 'r', encoding='utf-8') as f: + content = f.read() + + if CUSTOM_CONTENT_MARKER in content: + marker_index = content.find(CUSTOM_CONTENT_MARKER) + custom_content = content[marker_index:] + logger.debug(f"Found custom content marker, preserving {len(custom_content)} characters") + return custom_content + + return None + except Exception as e: + logger.warning(f"Error reading existing README for custom content: {e}") + return None + + def _write_readme_file(self, readme_content: str) -> None: + """Write the README content to the README.md file. + + Preserves any custom content after the marker. + + Args: + readme_content: The content to write to the README.md file. + + Raises: + SystemExit: If README exists and --overwrite flag is not provided. + """ + # Extract any custom content before checking for overwrite + custom_content = self._extract_custom_content() + + # Check if file exists and handle overwrite + if self.readme_file.exists() and not self.overwrite: + logger.error(f"README.md already exists at {self.readme_file}") + logger.error("Use --overwrite flag to overwrite existing README") + sys.exit(1) + + # Append custom content if it was found + if custom_content: + readme_content = f"{readme_content}\n\n{custom_content}" + logger.info("Preserved custom content from existing README") + + # Ensure parent directories exist for custom output paths + self.readme_file.parent.mkdir(parents=True, exist_ok=True) + + # Write README.md + with open(self.readme_file, 'w', encoding='utf-8') as f: + logger.debug(f"Writing README.md to {self.readme_file}") + logger.debug(f"README content: {readme_content}") + f.write(readme_content) + logger.info(f"README.md generated successfully at {self.readme_file}") + + + def generate(self) -> None: + """Generate the README documentation. + + Raises: + SystemExit: If function is not found or metadata extraction fails. + """ + # Find the function + logger.debug(f"Analyzing file: {self.source_file}") + function_name = self.parser.find_function() + + if not function_name: + logger.error(f"No component/pipeline function found in {self.source_file}") + sys.exit(1) + + logger.debug(f"Found target decorated function: {function_name}") + + # Extract metadata + metadata = self.parser.extract_metadata(function_name) + if not metadata: + logger.error(f"Could not extract metadata from function {function_name}") + sys.exit(1) + + logger.debug(f"Extracted metadata for {len(metadata.get('parameters', {}))} parameters") + + # Generate README content + readme_content_generator = ReadmeContentGenerator(metadata, self.source_dir) + readme_content = readme_content_generator.generate_readme() + + # Write README.md file + self._write_readme_file(readme_content) + + # Log metadata statistics + logger.debug(f"README content length: {len(readme_content)} characters") + logger.debug(f"Target decorated function name: {metadata.get('name', 'Unknown')}") + logger.debug(f"Parameters: {len(metadata.get('parameters', {}))}") + logger.debug(f"Has return type: {'Yes' if metadata.get('returns') else 'No'}") + diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..bcae874 --- /dev/null +++ b/uv.lock @@ -0,0 +1,904 @@ +version = 1 +revision = 3 +requires-python = ">=3.9" +resolution-markers = [ + "python_full_version >= '3.13'", + "python_full_version >= '3.10' and python_full_version < '3.13'", + "python_full_version < '3.10'", +] + +[[package]] +name = "cachetools" +version = "6.2.2" +source = { registry = "https://pypi.org/simple" } 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