f99056a099e71f4379f5b0482ec550a0c1dbb019
- Add tagging system Python package with modular architecture (config, core, impl) - Create core interfaces for file discovery, content analysis, and tag generation - Implement content analyzer with language detection and topic extraction - Implement file discovery engine with directory scanning and filtering - Implement tag generator with hierarchical tag creation and consolidation - Add configuration management with example config and validation - Create comprehensive design and requirements documentation in .kiro/specs - Add pytest test suite with unit tests for models, interfaces, and config - Add setup.py, requirements.txt, and pytest.ini for package management - Add README.md with project overview and usage instructions - Update workspace.json with new project structure - Add Excalidraw diagram for system architecture visualization - Establish foundation for automated vault tagging and metadata management
Comprehensive Tagging System
A Python-based comprehensive tagging system for Obsidian vaults that analyzes files, generates appropriate tags based on directory structure and content analysis, and updates frontmatter while preserving existing data.
Features
- Directory-based tagging: Automatically generates tags based on vault directory structure
- Content analysis: Analyzes file content to extract topics, technologies, and entities
- Hierarchical tag structures: Creates organized tag hierarchies using forward slash notation
- Language detection: Identifies content language (English, Chinese, mixed, unknown)
- Frontmatter management: Updates YAML frontmatter while preserving existing data
- Batch processing: Processes entire vaults efficiently with progress tracking
- Sensitive content detection: Identifies and appropriately tags sensitive information
- Obsidian compatibility: Ensures tags work with Obsidian's features and plugins
Installation
pip install -e .
Development Setup
# Install development dependencies
pip install -e ".[dev,test]"
# Run tests
pytest
# Run tests with coverage
pytest --cov=tagging_system
# Format code
black tagging_system tests
# Lint code
flake8 tagging_system tests
# Type checking
mypy tagging_system
Project Structure
tagging_system/
├── __init__.py
├── core/
│ ├── __init__.py
│ ├── models.py # Core data models
│ └── interfaces.py # Abstract interfaces and protocols
├── config/
│ ├── __init__.py
│ └── config.py # Configuration system
└── implementations/ # Concrete implementations (to be added)
tests/
├── __init__.py
├── conftest.py # Pytest configuration and fixtures
├── test_models.py # Tests for core models
├── test_config.py # Tests for configuration system
└── test_interfaces.py # Tests for interfaces and protocols
Configuration
The system uses a flexible configuration system that supports both YAML and JSON formats. Configuration includes:
- Directory mappings for tag generation
- Tag hierarchies and structures
- Sensitive content detection patterns
- File processing settings
- Language detection parameters
Testing
The project uses pytest with hypothesis for property-based testing:
- Unit tests: Test specific functionality and edge cases
- Property-based tests: Test universal properties across randomized inputs
- Integration tests: Test component interactions
Run tests with:
pytest # Run all tests
pytest -m unit # Run only unit tests
pytest -m property # Run only property-based tests
pytest -v # Verbose output
Requirements
This implementation addresses the following requirements:
- 1.1, 1.2, 1.3: Standardized frontmatter structure
- Directory-based tag mapping
- Content analysis and classification
- Tag consistency and validation
- Batch processing capabilities
License
MIT License
Languages
Markdown
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