Katalog, lernendes Mapping ohne KI, optionale Items und Import-Policy. Playwright-Smoke und Issue-Audit um Ernährung/Zuordnen/API ergänzt. Co-authored-by: Cursor <cursoragent@cursor.com>
32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# BLS Food Reference – technische Spec
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**Stand:** 2026-09-12 · Migration **062**
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## Tabellen
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- `food_attributes` — dynamischer Stoff-/Merkmalskatalog (`attr_key`, `data_type`, `origin`)
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- `food_catalog` — Lebensmittel (`bls_code` UNIQUE bei official_bls; manuell ohne BLS-Code)
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- `food_attribute_values` — typisiertes EAV
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- `food_name_mappings` — FDDB-Name → `food_id` (User / global)
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- `nutrition_items` — Tagebuchzeilen inkl. `logged_at`
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- `nutrition_daily_nutrients` — Tages-Rollup numerischer Attribute
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- `nutrition_day_marks` — `fasting` | `incomplete`
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## Layer 1
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- `data_layer/food_mapping.py` — Normalisierung, Lookup, Learn, Apply, Delete
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- `data_layer/nutrition_items.py` — Ingest, drei Makro-Summen, Policy, `resolve_*_attributes`
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## Import
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BLS: Admin-Upload Components + Daten-XLSX (`backend/bls/parser.py`). Upsert über `bls_code` / `attr_key`, nie Delete+Insert offizieller Zeilen.
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FDDB: Items persistieren; `nutrition_log` nur bei leerem Tag oder laut Policy / Bestätigung.
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## Router
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- `/api/bls/*` — Suche, eigene Foods, eigene Mappings
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- `/api/admin/bls/*` — Import, Katalog, Attribute
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- `/api/admin/food-mappings` — Admin-CRUD
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- `/api/nutrition/*` — Items, Unmapped, Bulk-Map, Marken, Konflikt-Resolve
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