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Production-grade media metadata backend per docs/aurora-core-spec.md: Aurora-owned UUIDv7 identity system, normalized movie/TV/people/credits schema, provider abstraction with a TMDb adapter, an idempotent async ingestion pipeline (normalize -> match -> upsert -> provenance), a Postgres FTS/trigram search layer, a stateless FastAPI v1 API with Redis caching/rate-limiting, arq workers, dev/prod Docker Compose topologies, unit + integration + load tests, CI, and architecture/ database/API/ERD documentation. Co-Authored-By: Claude Sonnet 5 <[email protected]>
60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
from __future__ import annotations
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy import engine_from_config, pool
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from app.core.config import get_settings
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from app.models import Base # noqa: F401 (imports every model onto Base.metadata)
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config = context.config
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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target_metadata = Base.metadata
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# The application uses an async (asyncpg) URL for normal operation, but
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# Alembic migrations run synchronously (psycopg2) — see DATABASE_URL_SYNC in
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# app/core/config.py.
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config.set_main_option("sqlalchemy.url", get_settings().DATABASE_URL_SYNC)
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def run_migrations_offline() -> None:
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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compare_type=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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compare_type=True,
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compare_server_default=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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