Ryan Malloy
317f74b33b
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
73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
import asyncio
|
|
import os
|
|
from logging.config import fileConfig
|
|
|
|
from alembic import context
|
|
from sqlalchemy import pool
|
|
from sqlalchemy.ext.asyncio import async_engine_from_config
|
|
|
|
from orrery_search.models import Base
|
|
|
|
config = context.config
|
|
if config.config_file_name is not None:
|
|
fileConfig(config.config_file_name)
|
|
|
|
db_url = os.environ.get("DATABASE_URL")
|
|
if db_url:
|
|
config.set_main_option("sqlalchemy.url", db_url)
|
|
|
|
target_metadata = Base.metadata
|
|
|
|
PGAI_MANAGED_TABLES = {
|
|
"document_embedding_store",
|
|
}
|
|
|
|
|
|
def include_object(object, name, type_, reflected, compare_to):
|
|
if type_ == "table" and name in PGAI_MANAGED_TABLES:
|
|
return False
|
|
return True
|
|
|
|
|
|
def run_migrations_offline():
|
|
url = config.get_main_option("sqlalchemy.url")
|
|
context.configure(
|
|
url=url,
|
|
target_metadata=target_metadata,
|
|
literal_binds=True,
|
|
include_object=include_object,
|
|
)
|
|
with context.begin_transaction():
|
|
context.run_migrations()
|
|
|
|
|
|
def do_run_migrations(connection):
|
|
context.configure(
|
|
connection=connection,
|
|
target_metadata=target_metadata,
|
|
include_object=include_object,
|
|
)
|
|
with context.begin_transaction():
|
|
context.run_migrations()
|
|
|
|
|
|
async def run_async_migrations():
|
|
connectable = async_engine_from_config(
|
|
config.get_section(config.config_ini_section, {}),
|
|
prefix="sqlalchemy.",
|
|
poolclass=pool.NullPool,
|
|
)
|
|
async with connectable.connect() as connection:
|
|
await connection.run_sync(do_run_migrations)
|
|
await connectable.dispose()
|
|
|
|
|
|
def run_migrations_online():
|
|
asyncio.run(run_async_migrations())
|
|
|
|
|
|
if context.is_offline_mode():
|
|
run_migrations_offline()
|
|
else:
|
|
run_migrations_online()
|