5c5ed25e5b
- 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>
65 lines
2.0 KiB
Go
65 lines
2.0 KiB
Go
package recognition
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import (
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"time"
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"github.com/food-ai/backend/internal/adapters/ai"
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)
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// Kafka topic names for product recognition.
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const (
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ProductTopicPaid = "ai.products.paid"
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ProductTopicFree = "ai.products.free"
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)
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// ProductImagePayload is a single image stored in the product_recognition_jobs.images JSONB column.
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type ProductImagePayload struct {
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ImageBase64 string `json:"image_base64"`
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MimeType string `json:"mime_type"`
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}
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// ProductJobResultItem is an enriched product item stored in the result JSONB.
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type ProductJobResultItem 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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QuantityConfidence float64 `json:"quantity_confidence"`
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MappingID *string `json:"mapping_id,omitempty"`
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StorageDays int `json:"storage_days"`
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}
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// ProductJobResult is the JSONB payload stored in product_recognition_jobs.result.
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type ProductJobResult struct {
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JobType string `json:"job_type"`
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Items []ProductJobResultItem `json:"items"`
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Unrecognized []ai.UnrecognizedItem `json:"unrecognized,omitempty"`
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}
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// ProductJob represents an async product/receipt recognition task.
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type ProductJob struct {
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ID string
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UserID string
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UserPlan string
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JobType string // "receipt" | "products"
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Images []ProductImagePayload
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Lang string
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Status string
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Result *ProductJobResult
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Error *string
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CreatedAt time.Time
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StartedAt *time.Time
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CompletedAt *time.Time
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}
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// ProductJobSummary is a lightweight record for list endpoints (omits image payloads).
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type ProductJobSummary struct {
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ID string `json:"id"`
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JobType string `json:"job_type"`
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Status string `json:"status"`
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Result *ProductJobResult `json:"result,omitempty"`
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Error *string `json:"error,omitempty"`
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CreatedAt time.Time `json:"created_at"`
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}
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