mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-05 01:50:27 +08:00
0fe16963cd
- 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.
43 lines
919 B
TOML
43 lines
919 B
TOML
[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "codex-lens"
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version = "0.1.0"
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description = "CodexLens multi-modal code analysis platform"
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readme = "README.md"
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requires-python = ">=3.10"
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license = { text = "MIT" }
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authors = [
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{ name = "CodexLens contributors" }
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]
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dependencies = [
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"typer>=0.9",
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"rich>=13",
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"pydantic>=2.0",
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"tree-sitter>=0.20",
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"tree-sitter-python>=0.25",
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"tree-sitter-javascript>=0.25",
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"tree-sitter-typescript>=0.23",
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"pathspec>=0.11",
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]
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[project.optional-dependencies]
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# Semantic search using fastembed (ONNX-based, lightweight ~200MB)
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semantic = [
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"numpy>=1.24",
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"fastembed>=0.2",
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]
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# Full features including tiktoken for accurate token counting
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full = [
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"tiktoken>=0.5.0",
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]
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[project.urls]
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Homepage = "https://github.com/openai/codex-lens"
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[tool.setuptools]
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package-dir = { "" = "src" }
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