# Production API image: everything in requirements.txt EXCEPT sentence-transformers.
#
# Embeddings are only computed inside collection runs (collector.embed ->
# services/embeddings_service.py, imported lazily), and the collector already
# skips that step when it fails. Leaving MiniLM/PyTorch out keeps the image
# ~2 GB smaller; set USE_EMBEDDINGS=false in the production environment.
# Keep the two files in step when a dependency is added.

# --- API ---
fastapi>=0.115.0
uvicorn[standard]>=0.30.6
pydantic>=2.9.2
python-dotenv>=1.0.1
PyJWT>=2.9.0
fastmcp>=4.0,<5          # MCP endpoint at /mcp/ (app/mcp_server.py)

# --- Database ---
psycopg[binary]>=3.2.3
pgvector>=0.2.5

# --- HTTP, search, parsing (used by admin collection runs) ---
requests>=2.31.0
httpx>=0.27.2
ddgs>=9.14.4
protego>=0.3.1
extruct>=0.17.0
beautifulsoup4>=4.12.3
lxml>=4.9.3
PyYAML>=6.0

# --- Normalisation / matching ---
rapidfuzz>=3.9.0

# --- CLI ---
typer>=0.12.0