pyproject.toml

[project]
name = "e-hekim"
version = "1.0.0"
description = "Turkish medical RAG and semantic search over hospital articles (ChromaDB + embeddingmagibu-200m)"
readme = "README.md"
requires-python = ">=3.11"
license = { text = "MIT" }

dependencies = [
    # API layer
    "fastapi>=0.115",
    "uvicorn[standard]>=0.34",
    "pydantic>=2.9",
    "pydantic-settings>=2.6",
    "python-dotenv>=1.0",
    # Vector store
    "chromadb>=1.0",
    # Embeddings
    "sentence-transformers>=5.2",
    "transformers>=5.0",
    "torch>=2.6",
    # Data / ingestion
    "datasets>=3.0",
    "huggingface-hub>=0.28",
    "pandas>=2.2",
    "pyarrow>=18.0",
    # LLM providers (OpenAI-compatible)
    "openai>=1.60",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.3",
    "httpx>=0.28",
]

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

[tool.hatch.build.targets.wheel]
packages = ["src/ehekim"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]