John Doe
a35bcd6647
- 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>
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
"""Deduplicate products: merge non-GTIN duplicates into a canonical record.
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Usage:
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python -m opengoods.jobs.dedup --dry-run
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python -m opengoods.jobs.dedup --actor nightly
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"""
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from __future__ import annotations
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import argparse
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import sys
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import psycopg
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from opengoods.etl.dedup import dedup_all
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from opengoods.etl.load import default_dsn
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def run(args: argparse.Namespace) -> int:
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with psycopg.connect(args.dsn, autocommit=False) as conn:
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summary = dedup_all(conn, actor=args.actor, dry_run=args.dry_run)
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if args.dry_run:
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conn.rollback()
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else:
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conn.commit()
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mode = "dry-run" if args.dry_run else "applied"
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print(f"{mode} groups={summary['groups']} merged={summary['merged']}")
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return 0
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description="Deduplicate OpenGoods products")
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parser.add_argument("--actor", default="ingestion", help="merge_log actor label")
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parser.add_argument("--dry-run", action="store_true", help="report only, do not write")
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parser.add_argument("--dsn", default=default_dsn(), help="PostgreSQL DSN")
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return run(parser.parse_args(argv))
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if __name__ == "__main__":
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sys.exit(main())
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