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The API and ingestion tools now use a fixed internal model gateway while governed profiles, embedding cache assignments, traceable citations, and stable API errors establish the boundaries required by later workflows. Constraint: The current Alibaba Cloud workspace rejects all three live model calls with authentication failures Rejected: Give the API or seed tools the Bailian key and direct egress | combines database access, cloud credentials, and public network access Rejected: Mix offline and Bailian vectors in one demo namespace | makes profile activation and retrieval ambiguous Confidence: high Scope-risk: moderate Reversibility: clean Directive: Keep Bailian credentials and egress exclusive to model-gateway and create a new immutable profile hash for any embedding identity change Tested: make verify; 121 backend tests; 14 frontend tests; fresh and populated Alembic upgrade-downgrade-upgrade; two idempotent offline seeds; Docker health and HTTP retrieval; isolated provider smoke Not-tested: Successful live Bailian responses because the supplied workspace credential currently fails authentication
117 lines
3.6 KiB
Python
117 lines
3.6 KiB
Python
"""FastAPI application factory and production entrypoint."""
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from typing import Any
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import psycopg
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import uvicorn
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from fastapi import FastAPI, Response, status
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from app import __version__
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from app.api.v1 import demo_router
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from app.core.config import get_settings
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from app.core.problems import ApiProblem, api_problem_handler
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from app.core.request_context import trace_request
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from app.core.secrets import SecretFileError
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type HealthPayload = dict[str, str | dict[str, str]]
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def live() -> dict[str, str]:
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return {"status": "ok", "version": __version__}
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def ready(response: Response) -> HealthPayload:
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settings = get_settings()
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try:
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dsn = settings.database_url().set(drivername="postgresql")
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with psycopg.connect(
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dsn.render_as_string(hide_password=False),
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connect_timeout=2,
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autocommit=True,
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) as connection:
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result = connection.execute("SELECT 1").fetchone()
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if result != (1,):
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raise psycopg.DatabaseError("readiness query returned an unexpected result")
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except (OSError, SecretFileError, psycopg.Error):
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# Do not expose connection strings, secret paths, hostnames, or driver errors.
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response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE
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return {"status": "not_ready", "checks": {"database": "unavailable"}}
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return {"status": "ready", "checks": {"database": "ok"}}
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def meta() -> dict[str, Any]:
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settings = get_settings()
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return {
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"name": settings.app_name,
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"environment": settings.app_env,
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"version": __version__,
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"models": {
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"embedding": settings.embedding_model,
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"rerank": settings.rerank_model,
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"generation": settings.llm_model,
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},
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}
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def create_app() -> FastAPI:
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"""Create the API without opening a database or loading model credentials."""
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api = FastAPI(
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title="Geological RAG API",
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version=__version__,
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openapi_tags=[
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{"name": "health", "description": "Process and database health probes."},
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{"name": "meta", "description": "Safe runtime capability metadata."},
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{"name": "offline-demo", "description": "Synthetic offline validation only."},
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],
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)
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api.middleware("http")(trace_request)
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api.add_exception_handler(ApiProblem, api_problem_handler) # type: ignore[arg-type]
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api.include_router(demo_router)
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api.add_api_route(
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"/health/live",
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live,
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methods=["GET"],
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tags=["health"],
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include_in_schema=False,
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)
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api.add_api_route(
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"/api/v1/health/live",
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live,
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methods=["GET"],
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tags=["health"],
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operation_id="getLiveness",
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)
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api.add_api_route(
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"/health/ready",
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ready,
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methods=["GET"],
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tags=["health"],
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include_in_schema=False,
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responses={status.HTTP_503_SERVICE_UNAVAILABLE: {"description": "Database unavailable"}},
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)
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api.add_api_route(
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"/api/v1/health/ready",
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ready,
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methods=["GET"],
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tags=["health"],
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operation_id="getReadiness",
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responses={status.HTTP_503_SERVICE_UNAVAILABLE: {"description": "Database unavailable"}},
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)
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api.add_api_route(
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"/api/v1/meta",
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meta,
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methods=["GET"],
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tags=["meta"],
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operation_id="getRuntimeMetadata",
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)
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return api
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app = create_app()
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if __name__ == "__main__":
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# Compose publishes this listener only on the host loopback interface.
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uvicorn.run("app.main:app", host="0.0.0.0", port=8000) # noqa: S104
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