[project]
name = "sec-intelligence-mcp"
version = "0.1.1"
description = "MCP server for SEC EDGAR filing intelligence (search, retrieval, evaluation)"
readme = "README.md"
authors = [
    { name = "jahanvi", email = "jahanv01@users.noreply.github.com" }
]
requires-python = ">=3.12"
dependencies = [
    "beautifulsoup4>=4.15.0",
    "datasets>=5.0.1",
    "duckdb>=1.5.5",
    "google-genai>=2.18.1",
    "httpx>=0.28.1",
    # ragas (as of 0.2.x through 0.4.x) still hard-imports
    # langchain_community.chat_models.vertexai, a module that only exists on the pre-1.0
    # langchain-community/langchain-core line. Newer langchain-google-genai releases require
    # langchain-core>=1.0, which conflicts with that. This exact combo is the newest one that
    # resolves and actually imports/runs cleanly -- verified against a real Gemini call.
    # Do not `uv add --upgrade` these three without re-testing the ragas+Gemini import path.
    "langchain-community==0.3.27",
    "langchain-google-genai==2.1.9",
    "langfuse>=4.15.1",
    "mcp[cli]>=1.0,<2.0",
    "pdfplumber>=0.11.10",
    "pydantic>=2.13.4",
    "python-dotenv>=1.0",
    "qdrant-client>=1.19.0",
    "ragas==0.2.15",  # pinned together with langchain-community/langchain-google-genai above
    "rank-bm25>=0.2.2",
    "sentence-transformers>=5.7.0",
    "tenacity>=9.1.4",
    "tiktoken>=0.13.0",
    "torch>=2.13.0",
]

[project.scripts]
sec-intelligence-mcp = "server:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
# Code under src/ imports flat (e.g. `from tools.analyze_filing import ...`, `import config`)
# rather than through a src.* or sec_intelligence_mcp.* package prefix -- `sources` strips
# the src/ prefix so the wheel installs tools/, edgar/, embeddings/, retrieval/, config.py,
# server.py, llm.py, and ragas_judge.py directly as top-level packages/modules, matching
# every existing import statement without changing any of them.
sources = ["src"]
include = ["src/**/*.py"]

[tool.hatch.build.targets.wheel.force-include]
# Ships as a sibling top-level directory in site-packages (not nested under any package) --
# promptutil.py's prompt_path() looks for it exactly there when running from an install.
"prompts" = "prompts"

[tool.uv]
# copy instead of hardlink: avoids "cloud operation... incompatible hardlinks" errors
# when the uv cache or project dir sits under a cloud-sync provider (OneDrive, etc.)
link-mode = "copy"

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = { index = "pytorch-cpu" }

[dependency-groups]
dev = [
    "pytest>=9.1.1",
    "pytest-asyncio>=1.4.0",
    "ruff>=0.6",
]

[tool.pytest.ini_options]
pythonpath = ["src"]
asyncio_mode = "auto"
markers = [
    "integration: end-to-end tests against real Qdrant/Gemini infra -- slow, excluded from CI's fast test job (run manually with `pytest -m integration` before release)",
]