mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-14 02:42:04 +08:00
17f52da4c6
- Introduced a new schema version (v2) with a global_relationships table. - Implemented CRUD operations for file relationships, including update and delete functionalities. - Added query capabilities for relationships by target and symbols. - Created migration logic from v1 to v2 schema. - Enhanced tests for global relationships, covering various scenarios including insertion, querying, and deletion. docs: Add update-single command for generating module documentation - Created a new command to generate manual-style documentation (CLAUDE.md) for a single module. - Detailed execution process and implementation phases for the command. - Included usage examples and error handling guidelines. feat: Implement team command for CLI interface - Added a new team command for logging and retrieving messages in a team message bus. - Supported subcommands for logging, reading, listing, and checking status of messages. - Included error handling and JSON output options. test: Add comprehensive tests for global relationships - Developed extensive tests for the global_relationships table in GlobalSymbolIndex. - Covered schema creation, migration, CRUD operations, and performance benchmarks. - Ensured project isolation and validated query functionalities for relationships.
CodexLens
CodexLens is a multi-modal code analysis platform designed to provide comprehensive code understanding and analysis capabilities.
Features
- Multi-language Support: Analyze code in Python, JavaScript, TypeScript and more using Tree-sitter parsers
- Semantic Search: Find relevant code snippets using semantic understanding with fastembed and HNSWLIB
- Code Parsing: Advanced code structure parsing with tree-sitter
- Flexible Architecture: Modular design for easy extension and customization
Installation
Basic Installation
pip install codex-lens
With Semantic Search
pip install codex-lens[semantic]
With GPU Acceleration (NVIDIA CUDA)
pip install codex-lens[semantic-gpu]
With DirectML (Windows - NVIDIA/AMD/Intel)
pip install codex-lens[semantic-directml]
With All Optional Features
pip install codex-lens[full]
Requirements
- Python >= 3.10
- See
pyproject.tomlfor detailed dependency list
Development
This project uses setuptools for building and packaging.
License
MIT License
Authors
CodexLens Contributors