c7317c4335
Backend:
- Migration 002: product_recognition_jobs table with JSONB images column
and job_type CHECK ('receipt' | 'products')
- New Kafka topics: ai.products.paid / ai.products.free
- ProductJob model, ProductJobRepository (mirrors dish job pattern)
- itemEnricher extracted from Handler — shared by HTTP handler and worker
- ProductSSEBroker: PG LISTEN on product_job_update channel
- ProductWorkerPool: 5 workers, branches on job_type to call
RecognizeReceipt or RecognizeProducts per image in parallel
- Handler: RecognizeReceipt and RecognizeProducts now return 202 Accepted
instead of blocking; 4 new endpoints: GET /ai/product-jobs,
/product-jobs/history, /product-jobs/{id}, /product-jobs/{id}/stream
- cmd/worker: extended to run ProductWorkerPool alongside dish WorkerPool
- cmd/server: wires productJobRepository + productSSEBroker; both SSE
brokers started in App.Start()
Flutter client:
- ProductJobCreated, ProductJobResult, ProductJobSummary, ProductJobEvent
models + submitReceiptRecognition/submitProductsRecognition/stream methods
- Shared _openSseStream helper eliminates duplicate SSE parsing loop
- ScanScreen: replace blocking AI calls with async submit + navigate to
ProductJobWatchScreen
- ProductJobWatchScreen: watches SSE stream, navigates to /scan/confirm
when done, shows error on failure
- ProductsScreen: prepends _RecentScansSection (hidden when empty); compact
horizontal list of recent scans with "See all" → history
- ProductJobHistoryScreen: full list of all product recognition jobs
- New routes: /scan/product-job-watch, /products/job-history
- L10n: 7 new keys in all 12 ARB files
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
64 lines
1.9 KiB
Go
64 lines
1.9 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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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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