Add comprehensive tests for tokenizer, performance benchmarks, and TreeSitter parser functionality

- Implemented unit tests for the Tokenizer class, covering various text inputs, edge cases, and fallback mechanisms.
- Created performance benchmarks comparing tiktoken and pure Python implementations for token counting.
- Developed extensive tests for TreeSitterSymbolParser across Python, JavaScript, and TypeScript, ensuring accurate symbol extraction and parsing.
- Added configuration documentation for MCP integration and custom prompts, enhancing usability and flexibility.
- Introduced a refactor script for GraphAnalyzer to streamline future improvements.
This commit is contained in:
catlog22
2025-12-15 14:36:09 +08:00
parent 82dcafff00
commit 0fe16963cd
49 changed files with 9307 additions and 438 deletions

View File

@@ -30,6 +30,11 @@ semantic = [
"fastembed>=0.2",
]
# Full features including tiktoken for accurate token counting
full = [
"tiktoken>=0.5.0",
]
[project.urls]
Homepage = "https://github.com/openai/codex-lens"