Files
Claude-Code-Workflow/codex-lens/pyproject.toml
catlog22 4faa5f1c95 Add comprehensive tests for semantic chunking and search functionality
- Implemented tests for the ChunkConfig and Chunker classes, covering default and custom configurations.
- Added tests for symbol-based chunking, including single and multiple symbols, handling of empty symbols, and preservation of line numbers.
- Developed tests for sliding window chunking, ensuring correct chunking behavior with various content sizes and configurations.
- Created integration tests for semantic search, validating embedding generation, vector storage, and search accuracy across a complex codebase.
- Included performance tests for embedding generation and search operations.
- Established tests for chunking strategies, comparing symbol-based and sliding window approaches.
- Enhanced test coverage for edge cases, including handling of unicode characters and out-of-bounds symbol ranges.
2025-12-12 19:55:35 +08:00

38 lines
821 B
TOML

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "codex-lens"
version = "0.1.0"
description = "CodexLens multi-modal code analysis platform"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [
{ name = "CodexLens contributors" }
]
dependencies = [
"typer>=0.9",
"rich>=13",
"pydantic>=2.0",
"tree-sitter>=0.20",
"tree-sitter-python>=0.25",
"tree-sitter-javascript>=0.25",
"tree-sitter-typescript>=0.23",
"pathspec>=0.11",
]
[project.optional-dependencies]
# Semantic search using fastembed (ONNX-based, lightweight ~200MB)
semantic = [
"numpy>=1.24",
"fastembed>=0.2",
]
[project.urls]
Homepage = "https://github.com/openai/codex-lens"
[tool.setuptools]
package-dir = { "" = "src" }