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goods/ingestion/opengoods/etl/state.py
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John Doe a35bcd6647
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M4: ingestion management (incremental, GS1 supplement, dedup/conflict, quality, scheduler)
- OFF incremental fetch via search API + persistent watermark (ingest_state, migration 0004)
- GS1 barcode supplement adapter (offline mapping + GS1-style API) filling only gaps with field-level provenance
- Non-GTIN dedup with canonical selection + merge_log; field-level conflict resolution (source trust > recency)
- Quality scoring (0.4 completeness + 0.3 source trust + 0.2 multi-source + 0.1 freshness) wired into load/merge
- Jobs: update_off, dedup, schedule; docs/ingestion-management.md
- 19 new tests (pure + DB-integration), ruff clean

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-06-08 09:27:42 +00:00

46 lines
1.5 KiB
Python

"""Persistent ingestion watermark stored in the ``ingest_state`` table.
The incremental updater uses this to remember how far it got for each source
(e.g. Open Food Facts exposes a ``last_modified_t`` unix timestamp on every
product) so repeated runs only fetch what changed.
"""
from __future__ import annotations
from typing import Any
import psycopg
from psycopg.types.json import Jsonb
def get_watermark(conn: psycopg.Connection, source: str) -> int:
"""Return the last processed ``last_modified_t`` for *source* (0 if none)."""
row = conn.execute(
"SELECT last_modified_t FROM ingest_state WHERE source = %s", (source,)
).fetchone()
return int(row[0]) if row else 0
def set_watermark(
conn: psycopg.Connection,
source: str,
last_modified_t: int,
stats: dict[str, Any] | None = None,
) -> None:
"""Upsert the watermark and run metadata for *source*.
The watermark only ever moves forward: a lower ``last_modified_t`` is
ignored so an out-of-order or partial run cannot rewind progress.
"""
conn.execute(
"""
INSERT INTO ingest_state (source, last_modified_t, last_run_at, stats)
VALUES (%s, %s, now(), %s)
ON CONFLICT (source) DO UPDATE SET
last_modified_t = GREATEST(ingest_state.last_modified_t, EXCLUDED.last_modified_t),
last_run_at = now(),
stats = EXCLUDED.stats
""",
(source, int(last_modified_t), Jsonb(stats or {})),
)