Keep the engine's state in SQLite, not Postgres
One process owns this database — the image has run a single uvicorn worker for that reason since the four-engines bug — so a file beside the flows is the honest shape for it, and it is what lets `fluksio serve` need no infrastructure at all. Live values, node execution and the work queue never came here anyway; what does is a rollup a minute at a time, a row per cascade and the run history, and WAL keeps the readers going while that one writer works. DATA_DIR is now the one setting that moves everything an installation keeps; the rest derive from it and the images still spell theirs out. The schema is prepared in-process at startup, so the prestart service is gone, and the ten Postgres-only revisions collapse into one portable baseline. Three things only worked because psycopg was casting for us: a token's subject arriving as a string where the column is a UUID, `greatest`, and `date_bin`. The timestamps needed a column type of their own — SQLite stores no offset, and a naive datetime read back either raises against an aware `now` or serialises as local time. Postgres stays in the stack only for Umami, behind the analytics profile. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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@@ -39,7 +39,7 @@ from datetime import datetime, timedelta, timezone
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from typing import Any
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from sqlalchemy import update
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from sqlalchemy.dialects.postgresql import insert as pg_insert
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from sqlalchemy.dialects.sqlite import insert as upsert
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from sqlmodel import Session, col, select
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from fluksio.core.db import engine as db_engine
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@@ -258,9 +258,7 @@ class MetricSink:
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def _write(self, rows: list[RunMetric]) -> None:
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try:
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with Session(db_engine) as session:
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statement = pg_insert(RunMetric).values(
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[row.model_dump() for row in rows]
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)
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statement = upsert(RunMetric).values([row.model_dump() for row in rows])
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session.exec(
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statement.on_conflict_do_update(
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index_elements=["run_id", "name", "step"],
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