122 lines
2.8 KiB
TOML
122 lines
2.8 KiB
TOML
[project]
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name = "yuxi-know"
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version = "0.5.3"
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description = "基于大模型的智能知识库与知识图谱智能体开发平台，融合了 RAG 技术与知识图谱技术，基于 LangGraph v1 + Vue.js + FastAPI + LightRAG 架构构建"
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readme = "README.md"
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requires-python = ">=3.12,<3.14"
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dependencies = [
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"asyncpg>=0.30.0",
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"aiosqlite>=0.20.0",
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"sqlalchemy[asyncio]>=2.0.0",
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"langchain>=1.2.0",
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"langchain-core >= 1.2.5",
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"colorlog>=6.9.0",
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"dashscope>=1.23.2",
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"docx2txt>=0.9",
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"fastapi>=0.121",
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"langchain-community>=0.4",
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"langchain-deepseek>=1.0",
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"langchain-mcp-adapters>=0.1.9",
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"langchain-openai>=1.0.2",
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"langchain-tavily>=0.2.13",
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"langchain-text-splitters>=1.0",
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"langgraph>=1.0.1",
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"langgraph-checkpoint-sqlite>=3.0",
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"langgraph-checkpoint-postgres>=2.0.0",
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"langgraph-cli[inmem]>=0.4",
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"langsmith>=0.4",
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"lightrag-hku>=1.4.6",
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"llama-index>=0.14",
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"llama-index-readers-file>=0.4.7",
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"markdownify>=1.1.0",
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"readability-lxml>=0.8.1",
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"mcp>=1.20",
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"neo4j>=5.28.1",
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"networkx>=3.5",
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"openai>=1.109",
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"opencv-python-headless>=4.11.0.86",
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"pyjwt>=2.8.0",
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"pymilvus>=2.5.8",
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"pymupdf>=1.25.5",
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"python-dotenv>=1.1.0",
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"python-jose[cryptography]>=3.4.0",
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"python-multipart>=0.0.20",
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"pyyaml>=6.0.2",
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"rapidocr-onnxruntime>=1.4.4",
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"tavily-python>=0.7.0",
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"unstructured>=0.17.2",
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"uvicorn[standard]>=0.34.2",
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"httpx>=0.27.0",
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"tqdm>=4.66.4",
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"rich>=13.7.1",
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"typer>=0.16.0",
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"tabulate>=0.9.0",
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"minio>=7.2.7",
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"Pillow>=10.5.0",
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"pymysql>=1.1.0",
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"tenacity>=8.0.0",
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"pypinyin>=0.55.0",
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"tomli",
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"tomli-w",
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"aiofiles>=24.1.0",
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"aiohttp>=3.9.0",
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"arq>=0.26.3",
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"chardet>=5.0.0",
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"deepagents>=0.2.5",
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"json-repair>=0.54.0",
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"torch>=2.8.0",
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"torchvision==0.23",
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"docling>=2.68.0",
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"loguru>=0.7.3",
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"redis>=5.2.0",
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]
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[tool.ruff]
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line-length = 120 # 代码最大行宽
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lint.select = [ # 选择的规则
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"F",
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"E",
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"W",
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"UP",
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]
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[tool.uv]
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[[tool.uv.index]]
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name = "tsinghua"
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url = "https://pypi.tuna.tsinghua.edu.cn/simple"
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default = true
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[tool.uv.sources]
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torch = { index = "pytorch-cpu" }
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torchvision = { index = "pytorch-cpu" }
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[tool.pytest.ini_options]
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addopts = "-v --tb=short"
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testpaths = ["test"]
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markers = [
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"auth: marks tests that require authentication",
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"slow: marks tests as slow",
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"integration: marks tests as integration tests"
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]
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asyncio_mode = "auto"
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asyncio_default_fixture_loop_scope = "function"
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[dependency-groups]
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dev = [
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"ruff>=0.12.1",
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]
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test = [
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"pytest>=8.0.0",
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"pytest-asyncio>=0.24.0",
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"pytest-httpx>=0.32.0",
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"pytest-cov>=6.0.0",
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]
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