Run Thermograph as a docker-compose stack (app + Postgres 18) and standardize the
data layer on Postgres, while keeping the test suite on SQLite.
- accounts/db.py: DSN-driven engines. On Postgres, a per-worker read-write +
read-only asyncpg pair (the RO engine pins read-only transactions, used by the
pure-GET endpoints) plus a sync psycopg engine for the notifier thread; the
SQLite path is preserved for tests/local (selected when THERMOGRAPH_DATABASE_URL
is unset). models.py: boolean server_default -> sa.false().
- store.py / metrics.py: dialect-flexible — Postgres UNLOGGED tables via psycopg
when configured, else the existing raw-sqlite3 paths byte-for-byte; sync
interfaces and every fail-soft contract preserved.
- Alembic (backend/alembic/) manages the accounts schema; the container entrypoint
runs `alembic upgrade head` before uvicorn (4 workers). migrate_accounts_to_pg.py
copies the accounts data SQLite->PG through the ORM (UUID/bool/JSON coerced),
skips access_token, and resets identity sequences.
- Dockerfile + docker-compose.yml: app image (uvicorn, 4 workers, loopback 8137)
and a Postgres 18 db (2 CPUs) running pg_duckdb (deploy/db/) so the parquet
climate cache is queryable in-DB via read_parquet('/parquet/cache/*.parquet').
- deploy.sh/thermograph.service rewired to manage the compose stack; env example,
Makefile targets (up/down/db-up), and deploy/POSTGRES-MIGRATION.md cutover runbook.
Tests stay on SQLite (dialect fallback) — 323 pass. The full Postgres stack was
verified via docker compose: alembic migrations, register/login, the RO endpoint,
store/metrics round-trips, and the accounts data migration.
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
"""The accounts DB engine layer: dialect selection and the read/read-write split.
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These run on the SQLite fallback (no THERMOGRAPH_DATABASE_URL in the test env);
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the Postgres path (asyncpg RO/RW engines) is exercised by the docker-compose stack,
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not the unit suite, so tests stay Postgres-free and fast."""
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import asyncio
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from sqlalchemy import select
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from accounts import db
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def test_defaults_to_sqlite_when_no_database_url():
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assert db.IS_POSTGRES is False
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# Both engines exist; on SQLite the RO engine is an alias of the RW one.
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assert db.async_engine is not None
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assert db.async_engine_ro is db.async_engine
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def test_read_and_write_session_makers_are_distinct_dependencies():
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# Distinct FastAPI deps so pure-read endpoints can opt into the RO engine.
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assert db.get_async_session is not db.get_read_session
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assert callable(db.get_async_session) and callable(db.get_read_session)
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def test_sync_url_derivation():
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assert db._sync_url("postgresql+asyncpg://u:p@h:5432/d") == "postgresql+psycopg://u:p@h:5432/d"
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assert db._sync_url("sqlite+aiosqlite:////tmp/x.sqlite") == "sqlite:////tmp/x.sqlite"
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def test_read_session_yields_a_working_session():
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# On SQLite the read session is fully usable (no read-only enforcement); this
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# just confirms the dependency wiring resolves to a live AsyncSession.
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db.Base.metadata.create_all(db.sync_engine)
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async def _use():
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async for session in db.get_read_session():
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return (await session.execute(select(1))).scalar_one()
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assert asyncio.run(_use()) == 1
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