- 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>
- adapters/openfoodfacts.py: OFF API 适配器(限速+User-Agent) + JSONL/.gz dump 读取 - etl/transform.py: 纯函数转换(GTIN 校验/净含量解析+归一/营养 per_100g 双能量/过敏原添加剂清洗/关键词分类映射) - etl/load.py: psycopg upsert(product/food_detail/product_image) + product_source 字段级溯源 - jobs/seed_off.py: CLI(--barcodes API / --dump 文件 / --limit) - 测试: 13 个离线 transform 单测(fixture) + 可跳过的 DB 集成测试 - 依赖: 增加 psycopg[binary] - 实跑: 从 OFF API 拉 5 个真实条码入本地 postgres 验证通过 - docs/etl-openfoodfacts.md: 流程/运行/字段映射 Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>