thermograph/tests/accounts/test_db_engines.py

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Containerize the app and move the databases to PostgreSQL 18 (#220) 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.
2026-07-20 06:28:23 +00:00
"""The accounts DB engine layer: dialect selection and the read/read-write split.
These run on the SQLite fallback (no THERMOGRAPH_DATABASE_URL in the test env);
the Postgres path (asyncpg RO/RW engines) is exercised by the docker-compose stack,
not the unit suite, so tests stay Postgres-free and fast."""
import asyncio
from sqlalchemy import select
from accounts import db
def test_defaults_to_sqlite_when_no_database_url():
assert db.IS_POSTGRES is False
# Both engines exist; on SQLite the RO engine is an alias of the RW one.
assert db.async_engine is not None
assert db.async_engine_ro is db.async_engine
def test_read_and_write_session_makers_are_distinct_dependencies():
# Distinct FastAPI deps so pure-read endpoints can opt into the RO engine.
assert db.get_async_session is not db.get_read_session
assert callable(db.get_async_session) and callable(db.get_read_session)
def test_sync_url_derivation():
assert db._sync_url("postgresql+asyncpg://u:p@h:5432/d") == "postgresql+psycopg://u:p@h:5432/d"
assert db._sync_url("sqlite+aiosqlite:////tmp/x.sqlite") == "sqlite:////tmp/x.sqlite"
def test_read_session_yields_a_working_session():
# On SQLite the read session is fully usable (no read-only enforcement); this
# just confirms the dependency wiring resolves to a live AsyncSession.
db.Base.metadata.create_all(db.sync_engine)
async def _use():
async for session in db.get_read_session():
return (await session.execute(select(1))).scalar_one()
assert asyncio.run(_use()) == 1