US01-02: Establish Application and Database Foundation (#47)
This commit was merged in pull request #47.
This commit is contained in:
9
photo_pipeline/__init__.py
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9
photo_pipeline/__init__.py
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"""Photo pipeline application package.
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Target architecture for the integrated photo-library pipeline (see
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INTEGRATED_PIPELINE_CONCEPT.md). US01-02 establishes the foundation: typed
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configuration, database engine/session lifecycle, versioned migrations, the
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FastAPI application factory, structured logging, and readiness.
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"""
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__version__ = "0.1.0"
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35
photo_pipeline/__main__.py
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35
photo_pipeline/__main__.py
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"""Application management CLI: ``python -m photo_pipeline {serve,migrate}``."""
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from __future__ import annotations
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import argparse
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from typing import Sequence
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from photo_pipeline.config import Config
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from photo_pipeline.db import run_migrations
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def main(argv: Sequence[str] | None = None) -> int:
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parser = argparse.ArgumentParser(prog="photo_pipeline")
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commands = parser.add_subparsers(dest="command", required=True)
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commands.add_parser("serve", help="Run the API server")
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commands.add_parser("migrate", help="Upgrade the database to the latest revision")
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args = parser.parse_args(argv)
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config = Config.from_env()
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config.database_path.parent.mkdir(parents=True, exist_ok=True)
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if args.command == "migrate":
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run_migrations(config.database_url)
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return 0
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import uvicorn
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from photo_pipeline.api.app import create_app
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uvicorn.run(create_app(config), host=config.host, port=config.port)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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0
photo_pipeline/api/__init__.py
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0
photo_pipeline/api/__init__.py
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41
photo_pipeline/api/app.py
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41
photo_pipeline/api/app.py
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"""FastAPI application factory and lifecycle.
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Startup runs migrations and opens the database engine; shutdown disposes it so no
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connection or engine resource leaks. The engine, session factory, and config live
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on ``app.state`` for dependencies to use. The app binds to 127.0.0.1 by default
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and exposes the versioned ``/api/v1`` surface; US01-02 ships only health.
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"""
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from __future__ import annotations
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from photo_pipeline.api.routes import health
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from photo_pipeline.config import Config
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from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
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from photo_pipeline.logging import configure_logging
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def create_app(config: Config | None = None) -> FastAPI:
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config = config or Config.from_env()
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configure_logging(config.log_level, config.log_format)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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config.database_path.parent.mkdir(parents=True, exist_ok=True)
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run_migrations(config.database_url)
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engine = create_db_engine(config.database_url)
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app.state.config = config
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app.state.engine = engine
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app.state.session_factory = create_session_factory(engine)
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try:
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yield
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finally:
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engine.dispose()
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app.state.engine = None
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app = FastAPI(title="Photo Pipeline", version="0.1.0", lifespan=lifespan)
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app.include_router(health.router, prefix="/api/v1")
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return app
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0
photo_pipeline/api/routes/__init__.py
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0
photo_pipeline/api/routes/__init__.py
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photo_pipeline/api/routes/health.py
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photo_pipeline/api/routes/health.py
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"""Liveness and readiness endpoints.
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``/health/live`` answers whether the process is up. ``/health/ready`` answers
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whether it can serve: the database is reachable and configured correctly (WAL,
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foreign keys). Tests and any future orchestration wait on readiness rather than a
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sleep. Readiness returns 503 until the checks pass.
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"""
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from __future__ import annotations
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from fastapi import APIRouter, Request, Response
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from sqlalchemy import text
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router = APIRouter(tags=["health"])
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@router.get("/health/live")
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def live() -> dict:
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return {"status": "alive"}
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@router.get("/health/ready")
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def ready(request: Request, response: Response) -> dict:
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checks: dict[str, object] = {}
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ok = True
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engine = getattr(request.app.state, "engine", None)
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if engine is None:
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ok = False
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checks["database"] = "unavailable"
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else:
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try:
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with engine.connect() as conn:
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conn.execute(text("SELECT 1"))
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journal_mode = conn.execute(text("PRAGMA journal_mode")).scalar()
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foreign_keys = conn.execute(text("PRAGMA foreign_keys")).scalar()
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checks["database"] = "ok"
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checks["journal_mode"] = journal_mode
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checks["foreign_keys"] = int(foreign_keys)
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if str(journal_mode).lower() != "wal" or int(foreign_keys) != 1:
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ok = False
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except Exception:
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ok = False
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checks["database"] = "error"
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response.status_code = 200 if ok else 503
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return {"status": "ready" if ok else "not_ready", "checks": checks}
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52
photo_pipeline/config.py
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photo_pipeline/config.py
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"""Typed application configuration.
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Values come from ``PHOTO_PIPELINE_*`` environment variables. Secrets use
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``SecretStr`` so they are masked in logs, reprs, and model dumps, and are never
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returned by the API. Only ``.get_secret_value()`` exposes them, and only where a
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real external call needs them.
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pydantic-settings would do this too, but a prefix-scan over the declared fields
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is a few lines and one fewer dependency.
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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from typing import Mapping
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from pydantic import BaseModel, ConfigDict, SecretStr
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ENV_PREFIX = "PHOTO_PIPELINE_"
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class Config(BaseModel):
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model_config = ConfigDict(frozen=True)
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data_dir: Path = Path("data")
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db_path: Path | None = None # defaults to data_dir/photo_pipeline.db
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host: str = "127.0.0.1"
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port: int = 8000
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log_level: str = "INFO"
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log_format: str = "json" # "json" or "text"
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vision_api_key: SecretStr | None = None
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immich_api_key: SecretStr | None = None
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@property
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def database_path(self) -> Path:
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return self.db_path or (self.data_dir / "photo_pipeline.db")
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@property
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def database_url(self) -> str:
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return f"sqlite:///{self.database_path}"
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@classmethod
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def from_env(cls, environ: Mapping[str, str] | None = None) -> "Config":
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env = os.environ if environ is None else environ
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data = {
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name: env[ENV_PREFIX + name.upper()]
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for name in cls.model_fields
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if env.get(ENV_PREFIX + name.upper())
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}
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return cls(**data)
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52
photo_pipeline/db.py
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photo_pipeline/db.py
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"""Database engine, sessions, and migration entry point.
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SQLite is opened in WAL mode with foreign keys enforced on every connection
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(foreign keys and busy_timeout are per-connection; WAL is persistent but cheap to
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re-assert). Migrations run through Alembic so the same versioned schema is used at
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startup and in tests. Repository and service code depends only on ``Base`` and the
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session factory, never on SQLite specifics, so PostgreSQL stays a future option.
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"""
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from __future__ import annotations
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from pathlib import Path
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from sqlalchemy import Engine, create_engine, event
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from sqlalchemy.orm import DeclarativeBase, sessionmaker
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_REPO_ROOT = Path(__file__).resolve().parent.parent
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class Base(DeclarativeBase):
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pass
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def create_db_engine(url: str, *, echo: bool = False) -> Engine:
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connect_args = {"check_same_thread": False} if url.startswith("sqlite") else {}
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engine = create_engine(url, echo=echo, future=True, connect_args=connect_args)
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if url.startswith("sqlite"):
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event.listen(engine, "connect", _apply_sqlite_pragmas)
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return engine
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def _apply_sqlite_pragmas(dbapi_connection, _connection_record) -> None:
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cursor = dbapi_connection.cursor()
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cursor.execute("PRAGMA journal_mode=WAL")
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cursor.execute("PRAGMA foreign_keys=ON")
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cursor.execute("PRAGMA busy_timeout=5000")
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cursor.close()
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def create_session_factory(engine: Engine) -> sessionmaker:
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return sessionmaker(bind=engine, expire_on_commit=False, future=True)
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def run_migrations(url: str) -> None:
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"""Upgrade the database at ``url`` to the latest revision."""
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from alembic import command
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from alembic.config import Config as AlembicConfig
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cfg = AlembicConfig(str(_REPO_ROOT / "alembic.ini"))
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cfg.set_main_option("script_location", str(_REPO_ROOT / "migrations"))
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cfg.set_main_option("sqlalchemy.url", url)
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command.upgrade(cfg, "head")
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44
photo_pipeline/logging.py
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photo_pipeline/logging.py
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"""Structured logging.
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JSON lines carrying ``job_id``, ``asset_id``, and ``operation_id`` when present,
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so later stages can correlate work across the API, worker, and jobs. Secrets are
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never passed to the logger; ``SecretStr`` masks them even if one slips through.
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"""
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from __future__ import annotations
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import json
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import logging
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import sys
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from datetime import datetime, timezone
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CONTEXT_FIELDS = ("job_id", "asset_id", "operation_id")
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class JsonFormatter(logging.Formatter):
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def format(self, record: logging.LogRecord) -> str:
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payload = {
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"ts": datetime.fromtimestamp(record.created, timezone.utc).isoformat(),
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"level": record.levelname,
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"logger": record.name,
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"message": record.getMessage(),
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}
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for field in CONTEXT_FIELDS:
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value = getattr(record, field, None)
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if value is not None:
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payload[field] = value
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if record.exc_info:
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payload["exc"] = self.formatException(record.exc_info)
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return json.dumps(payload, default=str)
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def configure_logging(level: str = "INFO", fmt: str = "json") -> None:
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handler = logging.StreamHandler(sys.stderr)
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if fmt == "json":
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handler.setFormatter(JsonFormatter())
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else:
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handler.setFormatter(logging.Formatter("%(asctime)s %(levelname)s %(name)s %(message)s"))
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root = logging.getLogger()
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root.handlers.clear()
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root.addHandler(handler)
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root.setLevel(level.upper())
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9
photo_pipeline/models/__init__.py
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photo_pipeline/models/__init__.py
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"""SQLAlchemy persistence models.
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Importing this package registers every model on ``Base.metadata``, which the
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Alembic environment relies on.
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"""
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from photo_pipeline.models.assets import Asset, AssetPath
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__all__ = ["Asset", "AssetPath"]
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59
photo_pipeline/models/assets.py
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59
photo_pipeline/models/assets.py
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"""Stable asset identity and path history.
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A file path is mutable metadata, never identity: ``assets.id`` is a generated
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UUID that never changes across moves, renames, or archival. ``asset_paths``
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records every path an asset has occupied. ``state_version`` supports optimistic
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concurrency; ``created_at``/``updated_at`` are the audit timestamps.
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Later-stage columns (canonical link, safety score, archive location) are added by
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the migrations of the stories that own them, not speculatively here.
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"""
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from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from photo_pipeline.db import Base
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class Asset(Base):
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__tablename__ = "assets"
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id: Mapped[str] = mapped_column(String, primary_key=True)
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original_path: Mapped[str] = mapped_column(String, nullable=False)
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current_path: Mapped[str | None] = mapped_column(String, unique=True)
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current_sha256: Mapped[str | None] = mapped_column(String)
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pixel_sha256: Mapped[str | None] = mapped_column(String)
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phash: Mapped[str | None] = mapped_column(String)
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hash_version: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
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byte_size: Mapped[int | None] = mapped_column(Integer)
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discovered_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
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missing_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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availability_state: Mapped[str] = mapped_column(String, nullable=False, default="active")
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state_version: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now()
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)
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class AssetPath(Base):
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__tablename__ = "asset_paths"
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asset_id: Mapped[str] = mapped_column(
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ForeignKey("assets.id"), primary_key=True
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)
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path: Mapped[str] = mapped_column(String, primary_key=True)
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valid_from: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), primary_key=True
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)
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valid_until: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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reason: Mapped[str | None] = mapped_column(String)
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