Add S3 storage client and API routes for document management:
- Implement s3_routes.py with file upload, download, delete endpoints
- Enhance s3_client.py with improved error handling and operations
- Add S3 browser UI component with file viewing and management
- Implement FileViewer and PDFViewer components for storage preview
- Add Resizable and Sheet UI components for layout control
Update backend infrastructure:
- Add bulk operations and parameterized queries to postgres_impl.py
- Enhance document routes with improved type hints
- Update API server registration for new S3 routes
- Refine upload routes and utility functions
Modernize web UI:
- Integrate S3 browser into main application layout
- Update localization files for storage UI strings
- Add storage settings to application configuration
- Sync package dependencies and lock files
Remove obsolete reproduction script:
- Delete reproduce_citation.py (replaced by test suite)
Update configuration:
- Enhance pyrightconfig.json for stricter type checking
Add extensive test suites for API routes and utilities:
- Implement test_search_routes.py (406 lines) for search endpoint validation
- Implement test_upload_routes.py (724 lines) for document upload workflows
- Implement test_s3_client.py (618 lines) for S3 storage operations
- Implement test_citation_utils.py (352 lines) for citation extraction
- Implement test_chunking.py (216 lines) for text chunking validation
Add S3 storage client implementation:
- Create lightrag/storage/s3_client.py with S3 operations
- Add storage module initialization with exports
- Integrate S3 client with document upload handling
Enhance API routes and core functionality:
- Add search_routes.py with full-text and graph search endpoints
- Add upload_routes.py with multipart document upload support
- Update operate.py with bulk operations and health checks
- Enhance postgres_impl.py with bulk upsert and parameterized queries
- Update lightrag_server.py to register new API routes
- Improve utils.py with citation and formatting utilities
Update dependencies and configuration:
- Add S3 and test dependencies to pyproject.toml
- Update docker-compose.test.yml for testing environment
- Sync uv.lock with new dependencies
Apply code quality improvements across all modified files:
- Add type hints to function signatures
- Update imports and router initialization
- Fix logging and error handling
Add comprehensive test suites for prompt evaluation:
- test_prompt_accuracy.py: 365 lines testing prompt extraction accuracy
- test_prompt_quality_deep.py: 672 lines for deep quality analysis
- Refactor prompt.py to consolidate optimized variants (removed prompt_optimized.py)
- Apply ruff formatting and type hints across 30 files
- Update pyrightconfig.json for static type checking
- Modernize reproduce scripts and examples with improved type annotations
- Sync uv.lock dependencies
Format entire codebase with ruff and add type hints across all modules:
- Apply ruff formatting to all Python files (121 files, 17K insertions)
- Add type hints to function signatures throughout lightrag core and API
- Update test suite with improved type annotations and docstrings
- Add pyrightconfig.json for static type checking configuration
- Create prompt_optimized.py and test_extraction_prompt_ab.py test files
- Update ruff.toml and .gitignore for improved linting configuration
- Standardize code style across examples, reproduce scripts, and utilities
• Add workspace param to get_namespace_data
• Update docstring with proper usage example
• Simplify demo to show correct workflow
• Remove confusing before/after comparison
• Clarify tool should run after init
- Snapshot JSON data before yielding batches
- Release lock during batch processing
- Exclude source type from target selection
- Add detailed docstring for lock behavior
- Filter available storage types properly
- Add streaming migration for memory efficiency
- Implement graceful exit with Enter/0
- Add progress indicators for counting
- Optimize batch processing by storage type
- Update docs with new progress displays
- Add check_initialization.py tool to help developers verify proper setup
- Tool checks all storage components and pipeline status
- Provides clear feedback on what's missing and how to fix it
- Includes demo mode to show before/after initialization
- Helps prevent common initialization errors proactively
This tool makes it easier for developers to debug initialization issues
