feat: improved receipt recognition, batch product add, and scan UX
- Rewrite receipt OCR prompt: completes truncated names, preserves fat% and flavour attributes, extracts weight/volume from line, infers typical package sizes for solid goods with quantity_confidence field - Add quantity_confidence to RecognizedItem, EnrichedItem, and ProductJobResultItem; propagate through item enricher and worker - Replace per-item create loop with single POST /user-products/batch call from RecognitionConfirmScreen - Rebuild RecognitionConfirmScreen: amber qty border for low quantity_confidence, tappable product name → catalog picker, sort items by confidence, full L10n (no hardcoded strings) - Add timestamps (HH:mm / d MMM HH:mm) to recent scan chips - Show close-app hint on ProductJobWatchScreen (queued + processing) - Refresh recentProductJobsProvider on watch screen init so new job appears without a manual pull-to-refresh - App-level WidgetsBindingObserver refreshes product and dish job lists on resume, fixing stale lists after background/foreground transitions - Add 9 new L10n keys across all 12 locales Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -103,13 +103,14 @@ type imagesRequest struct {
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// EnrichedItem is a recognized food item enriched with ingredient_mappings data.
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type EnrichedItem struct {
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Name string `json:"name"`
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Quantity float64 `json:"quantity"`
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Unit string `json:"unit"`
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Category string `json:"category"`
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Confidence float64 `json:"confidence"`
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MappingID *string `json:"mapping_id"`
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StorageDays int `json:"storage_days"`
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Name string `json:"name"`
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Quantity float64 `json:"quantity"`
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Unit string `json:"unit"`
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Category string `json:"category"`
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Confidence float64 `json:"confidence"`
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QuantityConfidence float64 `json:"quantity_confidence"`
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MappingID *string `json:"mapping_id"`
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StorageDays int `json:"storage_days"`
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}
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// ReceiptResponse is the response for POST /ai/recognize-receipt.
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