pg_orrery/search/pyproject.toml
Ryan Malloy 317f74b33b Add search backend: FastAPI + FastMCP + pgvector for docs Q&A and live SQL
Search stack replicates the Hamilton site pattern with pg_orrery-specific
additions:

- FastAPI REST API (chat SSE streaming, semantic search, health check)
- FastMCP server at /mcp with doc search and live SQL query tools
- pgvector + pgai vectorizer for 1024-dim document embeddings
- Hybrid search (semantic cosine + text ILIKE with pg_trgm GIN)
- Dual LLM backend: self-hosted qwen3 via GPU gateway or Anthropic Claude
- Live read-only pg_orrery SQL execution with safety guardrails
  (SELECT-only validation, read-only transaction, 5s timeout, 100-row cap)
- Convenience MCP tools: planet_position, sky_survey, satellite_pass
- MDX content ingestion from docs/src/content/docs/ (50 pages)
- Docker Compose: pg_orrery+pgvector DB, pgai, vectorizer-worker, API
- Alembic async migrations, Makefile, .env.example
2026-03-01 15:42:14 -07:00

51 lines
1.1 KiB
TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "orrery-search"
version = "2026.03.01"
description = "Semantic search and chat API for the pg_orrery documentation"
license = "MIT"
requires-python = ">=3.12"
authors = [{name = "Ryan Malloy", email = "ryan@supported.systems"}]
dependencies = [
"fastapi>=0.115.0",
"uvicorn[standard]>=0.32.0",
"sqlalchemy[asyncio]>=2.0.36",
"asyncpg>=0.30.0",
"pgvector>=0.4.2",
"pgai[sqlalchemy]>=0.12.0",
"tiktoken>=0.7.0",
"alembic>=1.14.0",
"pydantic-settings>=2.6.0",
"openai>=1.60.0",
"anthropic>=0.40.0",
"pyyaml>=6.0",
"fastmcp>=3.0.0",
"httpx>=0.28.0",
]
[project.scripts]
orrery-search = "orrery_search.main:run"
[tool.ruff]
target-version = "py312"
src = ["src"]
[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B", "SIM"]
ignore = ["B008"]
[tool.hatch.build.targets.wheel]
packages = ["src/orrery_search"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
[dependency-groups]
dev = [
"pytest>=9.0.2",
"pytest-asyncio>=1.3.0",
]