feat: async product/receipt recognition via Kafka

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>
This commit is contained in:
dbastrikin
2026-03-23 23:01:30 +02:00
parent bffeb05a43
commit c7317c4335
43 changed files with 2073 additions and 239 deletions

View File

@@ -9,8 +9,9 @@ import (
// App bundles the HTTP handler with background services that need lifecycle management.
type App struct {
handler http.Handler
sseBroker *recognition.SSEBroker
handler http.Handler
sseBroker *recognition.SSEBroker
productSSEBroker *recognition.ProductSSEBroker
}
// ServeHTTP implements http.Handler.
@@ -18,8 +19,9 @@ func (application *App) ServeHTTP(responseWriter http.ResponseWriter, request *h
application.handler.ServeHTTP(responseWriter, request)
}
// Start launches the SSE broker's LISTEN loop.
// Start launches the SSE brokers' LISTEN loops.
// Call this once before the HTTP server begins accepting connections.
func (application *App) Start(applicationContext context.Context) {
application.sseBroker.Start(applicationContext)
application.productSSEBroker.Start(applicationContext)
}

View File

@@ -56,7 +56,9 @@ func initApp(appConfig *config.Config, pool *pgxpool.Pool) (*App, error) {
// Recognition pipeline
jobRepository := recognition.NewJobRepository(pool)
sseBroker := recognition.NewSSEBroker(pool, jobRepository)
recognitionHandler := recognition.NewHandler(openaiClient, productRepository, jobRepository, kafkaProducer, sseBroker)
productJobRepository := recognition.NewProductJobRepository(pool)
productSSEBroker := recognition.NewProductSSEBroker(pool, productJobRepository)
recognitionHandler := recognition.NewHandler(openaiClient, productRepository, jobRepository, productJobRepository, kafkaProducer, sseBroker, productSSEBroker)
menuRepository := menu.NewRepository(pool)
menuHandler := menu.NewHandler(menuRepository, openaiClient, openaiClient, dishRepository, pexelsClient, userRepository, userProductRepository, dishRepository)
@@ -93,7 +95,8 @@ func initApp(appConfig *config.Config, pool *pgxpool.Pool) (*App, error) {
mainTagListHandler,
)
return &App{
handler: httpHandler,
sseBroker: sseBroker,
handler: httpHandler,
sseBroker: sseBroker,
productSSEBroker: productSSEBroker,
}, nil
}

View File

@@ -6,6 +6,7 @@ import (
"github.com/food-ai/backend/internal/adapters/kafka"
"github.com/food-ai/backend/internal/adapters/openai"
"github.com/food-ai/backend/internal/domain/dish"
"github.com/food-ai/backend/internal/domain/product"
"github.com/food-ai/backend/internal/domain/recognition"
"github.com/jackc/pgx/v5/pgxpool"
"github.com/kelseyhightower/envconfig"
@@ -28,31 +29,57 @@ func loadConfig() (*workerConfig, error) {
// WorkerApp bundles background services that need lifecycle management.
type WorkerApp struct {
workerPool *recognition.WorkerPool
workerPool *recognition.WorkerPool
productWorkerPool *recognition.ProductWorkerPool
}
// Start launches the worker pool goroutines.
// Start launches the dish and product worker pool goroutines.
func (workerApp *WorkerApp) Start(applicationContext context.Context) {
workerApp.workerPool.Start(applicationContext)
workerApp.productWorkerPool.Start(applicationContext)
}
func initWorker(workerCfg *workerConfig, pool *pgxpool.Pool) (*WorkerApp, error) {
openaiClient := openai.NewClient(workerCfg.OpenAIAPIKey)
// Dish recognition worker.
dishRepository := dish.NewRepository(pool)
jobRepository := recognition.NewJobRepository(pool)
topic := recognition.TopicFree
groupID := "dish-recognition-free"
dishTopic := recognition.TopicFree
dishGroupID := "dish-recognition-free"
if workerCfg.WorkerPlan == "paid" {
topic = recognition.TopicPaid
groupID = "dish-recognition-paid"
dishTopic = recognition.TopicPaid
dishGroupID = "dish-recognition-paid"
}
consumer, consumerError := kafka.NewConsumer(workerCfg.KafkaBrokers, groupID, topic)
if consumerError != nil {
return nil, consumerError
dishConsumer, dishConsumerError := kafka.NewConsumer(workerCfg.KafkaBrokers, dishGroupID, dishTopic)
if dishConsumerError != nil {
return nil, dishConsumerError
}
workerPool := recognition.NewWorkerPool(jobRepository, openaiClient, dishRepository, consumer)
return &WorkerApp{workerPool: workerPool}, nil
workerPool := recognition.NewWorkerPool(jobRepository, openaiClient, dishRepository, dishConsumer)
// Product recognition worker.
productRepository := product.NewRepository(pool)
productJobRepository := recognition.NewProductJobRepository(pool)
productTopic := recognition.ProductTopicFree
productGroupID := "product-recognition-free"
if workerCfg.WorkerPlan == "paid" {
productTopic = recognition.ProductTopicPaid
productGroupID = "product-recognition-paid"
}
productConsumer, productConsumerError := kafka.NewConsumer(workerCfg.KafkaBrokers, productGroupID, productTopic)
if productConsumerError != nil {
return nil, productConsumerError
}
productWorkerPool := recognition.NewProductWorkerPool(productJobRepository, openaiClient, productRepository, productConsumer)
return &WorkerApp{
workerPool: workerPool,
productWorkerPool: productWorkerPool,
}, nil
}

View File

@@ -6,7 +6,6 @@ import (
"log/slog"
"net/http"
"strings"
"sync"
"github.com/go-chi/chi/v5"
@@ -49,27 +48,33 @@ type KafkaPublisher interface {
// Handler handles POST /ai/* recognition endpoints.
type Handler struct {
recognizer Recognizer
productRepo ProductRepository
jobRepo JobRepository
kafkaProducer KafkaPublisher
sseBroker *SSEBroker
enricher *itemEnricher
recognizer Recognizer
jobRepo JobRepository
productJobRepo ProductJobRepository
kafkaProducer KafkaPublisher
sseBroker *SSEBroker
productSSEBroker *ProductSSEBroker
}
// NewHandler creates a new Handler with async dish recognition support.
// NewHandler creates a new Handler with async dish and product recognition support.
func NewHandler(
recognizer Recognizer,
productRepo ProductRepository,
jobRepo JobRepository,
productJobRepo ProductJobRepository,
kafkaProducer KafkaPublisher,
sseBroker *SSEBroker,
productSSEBroker *ProductSSEBroker,
) *Handler {
return &Handler{
recognizer: recognizer,
productRepo: productRepo,
jobRepo: jobRepo,
kafkaProducer: kafkaProducer,
sseBroker: sseBroker,
enricher: newItemEnricher(recognizer, productRepo),
recognizer: recognizer,
jobRepo: jobRepo,
productJobRepo: productJobRepo,
kafkaProducer: kafkaProducer,
sseBroker: sseBroker,
productSSEBroker: productSSEBroker,
}
}
@@ -117,34 +122,23 @@ type ReceiptResponse struct {
// Handlers
// ---------------------------------------------------------------------------
// RecognizeReceipt handles POST /ai/recognize-receipt.
// RecognizeReceipt handles POST /ai/recognize-receipt (async).
// Enqueues the receipt image for AI processing and returns 202 Accepted with a job_id.
// Body: {"image_base64": "...", "mime_type": "image/jpeg"}
func (handler *Handler) RecognizeReceipt(responseWriter http.ResponseWriter, request *http.Request) {
userID := middleware.UserIDFromCtx(request.Context())
_ = userID // logged for tracing
var req imageRequest
if decodeError := json.NewDecoder(request.Body).Decode(&req); decodeError != nil || req.ImageBase64 == "" {
writeErrorJSON(responseWriter, request, http.StatusBadRequest, "image_base64 is required")
return
}
lang := locale.FromContext(request.Context())
result, recognizeError := handler.recognizer.RecognizeReceipt(request.Context(), req.ImageBase64, req.MimeType, lang)
if recognizeError != nil {
slog.ErrorContext(request.Context(), "recognize receipt", "err", recognizeError)
writeErrorJSON(responseWriter, request, http.StatusServiceUnavailable, "recognition failed, please try again")
return
}
enriched := handler.enrichItems(request.Context(), result.Items)
writeJSON(responseWriter, http.StatusOK, ReceiptResponse{
Items: enriched,
Unrecognized: result.Unrecognized,
handler.submitProductJob(responseWriter, request, "receipt", []ProductImagePayload{
{ImageBase64: req.ImageBase64, MimeType: req.MimeType},
})
}
// RecognizeProducts handles POST /ai/recognize-products.
// RecognizeProducts handles POST /ai/recognize-products (async).
// Enqueues up to 3 product images for AI processing and returns 202 Accepted with a job_id.
// Body: {"images": [{"image_base64": "...", "mime_type": "image/jpeg"}, ...]}
func (handler *Handler) RecognizeProducts(responseWriter http.ResponseWriter, request *http.Request) {
var req imagesRequest
@@ -153,29 +147,118 @@ func (handler *Handler) RecognizeProducts(responseWriter http.ResponseWriter, re
return
}
if len(req.Images) > 3 {
req.Images = req.Images[:3] // cap at 3 photos as per spec
req.Images = req.Images[:3]
}
images := make([]ProductImagePayload, len(req.Images))
for index, img := range req.Images {
images[index] = ProductImagePayload{ImageBase64: img.ImageBase64, MimeType: img.MimeType}
}
handler.submitProductJob(responseWriter, request, "products", images)
}
// submitProductJob is shared by RecognizeReceipt and RecognizeProducts.
// It inserts a product job, publishes to Kafka, and writes the 202 response.
func (handler *Handler) submitProductJob(
responseWriter http.ResponseWriter,
request *http.Request,
jobType string,
images []ProductImagePayload,
) {
userID := middleware.UserIDFromCtx(request.Context())
userPlan := middleware.UserPlanFromCtx(request.Context())
lang := locale.FromContext(request.Context())
allItems := make([][]ai.RecognizedItem, len(req.Images))
var wg sync.WaitGroup
for i, img := range req.Images {
wg.Add(1)
go func(index int, imageReq imageRequest) {
defer wg.Done()
items, recognizeError := handler.recognizer.RecognizeProducts(request.Context(), imageReq.ImageBase64, imageReq.MimeType, lang)
if recognizeError != nil {
slog.WarnContext(request.Context(), "recognize products from image", "index", index, "err", recognizeError)
return
}
allItems[index] = items
}(i, img)
}
wg.Wait()
merged := MergeAndDeduplicate(allItems)
enriched := handler.enrichItems(request.Context(), merged)
writeJSON(responseWriter, http.StatusOK, map[string]any{"items": enriched})
job := &ProductJob{
UserID: userID,
UserPlan: userPlan,
JobType: jobType,
Images: images,
Lang: lang,
}
if insertError := handler.productJobRepo.InsertProductJob(request.Context(), job); insertError != nil {
slog.ErrorContext(request.Context(), "insert product recognition job", "err", insertError)
writeErrorJSON(responseWriter, request, http.StatusInternalServerError, "failed to create job")
return
}
position, positionError := handler.productJobRepo.ProductQueuePosition(request.Context(), userPlan, job.CreatedAt)
if positionError != nil {
position = 0
}
topic := ProductTopicFree
if userPlan == "paid" {
topic = ProductTopicPaid
}
if publishError := handler.kafkaProducer.Publish(request.Context(), topic, job.ID); publishError != nil {
slog.ErrorContext(request.Context(), "publish product recognition job", "job_id", job.ID, "err", publishError)
writeErrorJSON(responseWriter, request, http.StatusInternalServerError, "failed to enqueue job")
return
}
estimatedSeconds := (position + 1) * 6
writeJSON(responseWriter, http.StatusAccepted, map[string]any{
"job_id": job.ID,
"queue_position": position,
"estimated_seconds": estimatedSeconds,
})
}
// ListRecentProductJobs handles GET /ai/product-jobs — returns the last 7 days of product jobs.
func (handler *Handler) ListRecentProductJobs(responseWriter http.ResponseWriter, request *http.Request) {
userID := middleware.UserIDFromCtx(request.Context())
summaries, listError := handler.productJobRepo.ListRecentProductJobs(request.Context(), userID)
if listError != nil {
slog.ErrorContext(request.Context(), "list recent product jobs", "err", listError)
writeErrorJSON(responseWriter, request, http.StatusInternalServerError, "failed to list jobs")
return
}
if summaries == nil {
summaries = []*ProductJobSummary{}
}
writeJSON(responseWriter, http.StatusOK, summaries)
}
// ListAllProductJobs handles GET /ai/product-jobs/history — returns all product jobs for the user.
func (handler *Handler) ListAllProductJobs(responseWriter http.ResponseWriter, request *http.Request) {
userID := middleware.UserIDFromCtx(request.Context())
summaries, listError := handler.productJobRepo.ListAllProductJobs(request.Context(), userID)
if listError != nil {
slog.ErrorContext(request.Context(), "list all product jobs", "err", listError)
writeErrorJSON(responseWriter, request, http.StatusInternalServerError, "failed to list jobs")
return
}
if summaries == nil {
summaries = []*ProductJobSummary{}
}
writeJSON(responseWriter, http.StatusOK, summaries)
}
// GetProductJob handles GET /ai/product-jobs/{id}.
func (handler *Handler) GetProductJob(responseWriter http.ResponseWriter, request *http.Request) {
jobID := chi.URLParam(request, "id")
userID := middleware.UserIDFromCtx(request.Context())
job, fetchError := handler.productJobRepo.GetProductJobByID(request.Context(), jobID)
if fetchError != nil {
writeErrorJSON(responseWriter, request, http.StatusNotFound, "job not found")
return
}
if job.UserID != userID {
writeErrorJSON(responseWriter, request, http.StatusForbidden, "forbidden")
return
}
writeJSON(responseWriter, http.StatusOK, job)
}
// GetProductJobStream handles GET /ai/product-jobs/{id}/stream — SSE stream for product job updates.
func (handler *Handler) GetProductJobStream(responseWriter http.ResponseWriter, request *http.Request) {
handler.productSSEBroker.ServeSSE(responseWriter, request)
}
// RecognizeDish handles POST /ai/recognize-dish (async).
@@ -287,87 +370,6 @@ func (handler *Handler) GetJob(responseWriter http.ResponseWriter, request *http
writeJSON(responseWriter, http.StatusOK, job)
}
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
// enrichItems matches each recognized item against the product catalog.
// Items without a match trigger a classification call and upsert into the DB.
func (handler *Handler) enrichItems(ctx context.Context, items []ai.RecognizedItem) []EnrichedItem {
result := make([]EnrichedItem, 0, len(items))
for _, item := range items {
enriched := EnrichedItem{
Name: item.Name,
Quantity: item.Quantity,
Unit: item.Unit,
Category: item.Category,
Confidence: item.Confidence,
StorageDays: 7, // sensible default
}
catalogProduct, matchError := handler.productRepo.FuzzyMatch(ctx, item.Name)
if matchError != nil {
slog.WarnContext(ctx, "fuzzy match product", "name", item.Name, "err", matchError)
}
if catalogProduct != nil {
id := catalogProduct.ID
enriched.MappingID = &id
if catalogProduct.DefaultUnit != nil {
enriched.Unit = *catalogProduct.DefaultUnit
}
if catalogProduct.StorageDays != nil {
enriched.StorageDays = *catalogProduct.StorageDays
}
if catalogProduct.Category != nil {
enriched.Category = *catalogProduct.Category
}
} else {
classification, classifyError := handler.recognizer.ClassifyIngredient(ctx, item.Name)
if classifyError != nil {
slog.WarnContext(ctx, "classify unknown product", "name", item.Name, "err", classifyError)
} else {
saved := handler.saveClassification(ctx, classification)
if saved != nil {
id := saved.ID
enriched.MappingID = &id
}
enriched.Category = classification.Category
enriched.Unit = classification.DefaultUnit
enriched.StorageDays = classification.StorageDays
}
}
result = append(result, enriched)
}
return result
}
// saveClassification upserts an AI-produced classification into the product catalog.
func (handler *Handler) saveClassification(ctx context.Context, classification *ai.IngredientClassification) *product.Product {
if classification == nil || classification.CanonicalName == "" {
return nil
}
catalogProduct := &product.Product{
CanonicalName: classification.CanonicalName,
Category: strPtr(classification.Category),
DefaultUnit: strPtr(classification.DefaultUnit),
CaloriesPer100g: classification.CaloriesPer100g,
ProteinPer100g: classification.ProteinPer100g,
FatPer100g: classification.FatPer100g,
CarbsPer100g: classification.CarbsPer100g,
StorageDays: intPtr(classification.StorageDays),
}
saved, upsertError := handler.productRepo.Upsert(ctx, catalogProduct)
if upsertError != nil {
slog.WarnContext(ctx, "upsert classified product", "name", classification.CanonicalName, "err", upsertError)
return nil
}
return saved
}
// MergeAndDeduplicate combines results from multiple images.
// Items sharing the same name (case-insensitive) have their quantities summed.
func MergeAndDeduplicate(batches [][]ai.RecognizedItem) []ai.RecognizedItem {

View File

@@ -0,0 +1,98 @@
package recognition
import (
"context"
"log/slog"
"github.com/food-ai/backend/internal/adapters/ai"
"github.com/food-ai/backend/internal/domain/product"
)
// itemEnricher matches recognized items against the product catalog,
// triggering AI classification for unknown items.
// Extracted from Handler so both the HTTP handler and the product worker pool can use it.
type itemEnricher struct {
recognizer Recognizer
productRepo ProductRepository
}
func newItemEnricher(recognizer Recognizer, productRepo ProductRepository) *itemEnricher {
return &itemEnricher{recognizer: recognizer, productRepo: productRepo}
}
// enrich matches each recognized item against the product catalog.
// Items without a match trigger a classification call and upsert into the DB.
func (enricher *itemEnricher) enrich(enrichContext context.Context, items []ai.RecognizedItem) []EnrichedItem {
result := make([]EnrichedItem, 0, len(items))
for _, item := range items {
enriched := EnrichedItem{
Name: item.Name,
Quantity: item.Quantity,
Unit: item.Unit,
Category: item.Category,
Confidence: item.Confidence,
StorageDays: 7, // sensible default
}
catalogProduct, matchError := enricher.productRepo.FuzzyMatch(enrichContext, item.Name)
if matchError != nil {
slog.WarnContext(enrichContext, "fuzzy match product", "name", item.Name, "err", matchError)
}
if catalogProduct != nil {
productID := catalogProduct.ID
enriched.MappingID = &productID
if catalogProduct.DefaultUnit != nil {
enriched.Unit = *catalogProduct.DefaultUnit
}
if catalogProduct.StorageDays != nil {
enriched.StorageDays = *catalogProduct.StorageDays
}
if catalogProduct.Category != nil {
enriched.Category = *catalogProduct.Category
}
} else {
classification, classifyError := enricher.recognizer.ClassifyIngredient(enrichContext, item.Name)
if classifyError != nil {
slog.WarnContext(enrichContext, "classify unknown product", "name", item.Name, "err", classifyError)
} else {
saved := enricher.saveClassification(enrichContext, classification)
if saved != nil {
savedID := saved.ID
enriched.MappingID = &savedID
}
enriched.Category = classification.Category
enriched.Unit = classification.DefaultUnit
enriched.StorageDays = classification.StorageDays
}
}
result = append(result, enriched)
}
return result
}
// saveClassification upserts an AI-produced classification into the product catalog.
func (enricher *itemEnricher) saveClassification(enrichContext context.Context, classification *ai.IngredientClassification) *product.Product {
if classification == nil || classification.CanonicalName == "" {
return nil
}
catalogProduct := &product.Product{
CanonicalName: classification.CanonicalName,
Category: strPtr(classification.Category),
DefaultUnit: strPtr(classification.DefaultUnit),
CaloriesPer100g: classification.CaloriesPer100g,
ProteinPer100g: classification.ProteinPer100g,
FatPer100g: classification.FatPer100g,
CarbsPer100g: classification.CarbsPer100g,
StorageDays: intPtr(classification.StorageDays),
}
saved, upsertError := enricher.productRepo.Upsert(enrichContext, catalogProduct)
if upsertError != nil {
slog.WarnContext(enrichContext, "upsert classified product", "name", classification.CanonicalName, "err", upsertError)
return nil
}
return saved
}

View File

@@ -0,0 +1,63 @@
package recognition
import (
"time"
"github.com/food-ai/backend/internal/adapters/ai"
)
// Kafka topic names for product recognition.
const (
ProductTopicPaid = "ai.products.paid"
ProductTopicFree = "ai.products.free"
)
// ProductImagePayload is a single image stored in the product_recognition_jobs.images JSONB column.
type ProductImagePayload struct {
ImageBase64 string `json:"image_base64"`
MimeType string `json:"mime_type"`
}
// ProductJobResultItem is an enriched product item stored in the result JSONB.
type ProductJobResultItem struct {
Name string `json:"name"`
Quantity float64 `json:"quantity"`
Unit string `json:"unit"`
Category string `json:"category"`
Confidence float64 `json:"confidence"`
MappingID *string `json:"mapping_id,omitempty"`
StorageDays int `json:"storage_days"`
}
// ProductJobResult is the JSONB payload stored in product_recognition_jobs.result.
type ProductJobResult struct {
JobType string `json:"job_type"`
Items []ProductJobResultItem `json:"items"`
Unrecognized []ai.UnrecognizedItem `json:"unrecognized,omitempty"`
}
// ProductJob represents an async product/receipt recognition task.
type ProductJob struct {
ID string
UserID string
UserPlan string
JobType string // "receipt" | "products"
Images []ProductImagePayload
Lang string
Status string
Result *ProductJobResult
Error *string
CreatedAt time.Time
StartedAt *time.Time
CompletedAt *time.Time
}
// ProductJobSummary is a lightweight record for list endpoints (omits image payloads).
type ProductJobSummary struct {
ID string `json:"id"`
JobType string `json:"job_type"`
Status string `json:"status"`
Result *ProductJobResult `json:"result,omitempty"`
Error *string `json:"error,omitempty"`
CreatedAt time.Time `json:"created_at"`
}

View File

@@ -0,0 +1,203 @@
package recognition
import (
"context"
"encoding/json"
"time"
"github.com/jackc/pgx/v5/pgxpool"
)
// ProductJobRepository provides all DB operations on product_recognition_jobs.
type ProductJobRepository interface {
InsertProductJob(ctx context.Context, job *ProductJob) error
GetProductJobByID(ctx context.Context, jobID string) (*ProductJob, error)
UpdateProductJobStatus(ctx context.Context, jobID, status string, result *ProductJobResult, errMsg *string) error
ProductQueuePosition(ctx context.Context, userPlan string, createdAt time.Time) (int, error)
NotifyProductJobUpdate(ctx context.Context, jobID string) error
ListRecentProductJobs(ctx context.Context, userID string) ([]*ProductJobSummary, error)
ListAllProductJobs(ctx context.Context, userID string) ([]*ProductJobSummary, error)
}
// PostgresProductJobRepository implements ProductJobRepository using a pgxpool.
type PostgresProductJobRepository struct {
pool *pgxpool.Pool
}
// NewProductJobRepository creates a new PostgresProductJobRepository.
func NewProductJobRepository(pool *pgxpool.Pool) *PostgresProductJobRepository {
return &PostgresProductJobRepository{pool: pool}
}
// InsertProductJob inserts a new product recognition job and populates the ID and CreatedAt fields.
func (repository *PostgresProductJobRepository) InsertProductJob(queryContext context.Context, job *ProductJob) error {
imagesJSON, marshalError := json.Marshal(job.Images)
if marshalError != nil {
return marshalError
}
return repository.pool.QueryRow(queryContext,
`INSERT INTO product_recognition_jobs (user_id, user_plan, job_type, images, lang)
VALUES ($1, $2, $3, $4, $5)
RETURNING id, created_at`,
job.UserID, job.UserPlan, job.JobType, imagesJSON, job.Lang,
).Scan(&job.ID, &job.CreatedAt)
}
// GetProductJobByID fetches a single product job by primary key.
func (repository *PostgresProductJobRepository) GetProductJobByID(queryContext context.Context, jobID string) (*ProductJob, error) {
var job ProductJob
var imagesJSON []byte
var resultJSON []byte
queryError := repository.pool.QueryRow(queryContext,
`SELECT id, user_id, user_plan, job_type, images, lang,
status, result, error, created_at, started_at, completed_at
FROM product_recognition_jobs WHERE id = $1`,
jobID,
).Scan(
&job.ID, &job.UserID, &job.UserPlan, &job.JobType, &imagesJSON, &job.Lang,
&job.Status, &resultJSON, &job.Error, &job.CreatedAt, &job.StartedAt, &job.CompletedAt,
)
if queryError != nil {
return nil, queryError
}
if imagesJSON != nil {
if unmarshalError := json.Unmarshal(imagesJSON, &job.Images); unmarshalError != nil {
return nil, unmarshalError
}
}
if resultJSON != nil {
var productResult ProductJobResult
if unmarshalError := json.Unmarshal(resultJSON, &productResult); unmarshalError == nil {
job.Result = &productResult
}
}
return &job, nil
}
// UpdateProductJobStatus transitions a job to a new status and records the result or error.
func (repository *PostgresProductJobRepository) UpdateProductJobStatus(
queryContext context.Context,
jobID, status string,
result *ProductJobResult,
errMsg *string,
) error {
var resultJSON []byte
if result != nil {
marshalledBytes, marshalError := json.Marshal(result)
if marshalError != nil {
return marshalError
}
resultJSON = marshalledBytes
}
switch status {
case JobStatusProcessing:
_, updateError := repository.pool.Exec(queryContext,
`UPDATE product_recognition_jobs SET status = $1, started_at = now() WHERE id = $2`,
status, jobID,
)
return updateError
default:
_, updateError := repository.pool.Exec(queryContext,
`UPDATE product_recognition_jobs
SET status = $1, result = $2, error = $3, completed_at = now()
WHERE id = $4`,
status, resultJSON, errMsg, jobID,
)
return updateError
}
}
// ProductQueuePosition counts product jobs ahead of createdAt in the same plan's queue.
func (repository *PostgresProductJobRepository) ProductQueuePosition(
queryContext context.Context,
userPlan string,
createdAt time.Time,
) (int, error) {
var position int
queryError := repository.pool.QueryRow(queryContext,
`SELECT COUNT(*) FROM product_recognition_jobs
WHERE status IN ('pending', 'processing')
AND user_plan = $1
AND created_at < $2`,
userPlan, createdAt,
).Scan(&position)
return position, queryError
}
// NotifyProductJobUpdate sends a PostgreSQL NOTIFY on the product_job_update channel.
func (repository *PostgresProductJobRepository) NotifyProductJobUpdate(queryContext context.Context, jobID string) error {
_, notifyError := repository.pool.Exec(queryContext, `SELECT pg_notify('product_job_update', $1)`, jobID)
return notifyError
}
// ListRecentProductJobs returns product recognition jobs from the last 7 days for the given user.
func (repository *PostgresProductJobRepository) ListRecentProductJobs(queryContext context.Context, userID string) ([]*ProductJobSummary, error) {
rows, queryError := repository.pool.Query(queryContext,
`SELECT id, job_type, status, result, error, created_at
FROM product_recognition_jobs
WHERE user_id = $1
AND created_at >= now() - interval '7 days'
ORDER BY created_at DESC`,
userID,
)
if queryError != nil {
return nil, queryError
}
defer rows.Close()
return scanProductJobSummaries(rows)
}
// ListAllProductJobs returns all product recognition jobs for the given user, newest first.
func (repository *PostgresProductJobRepository) ListAllProductJobs(queryContext context.Context, userID string) ([]*ProductJobSummary, error) {
rows, queryError := repository.pool.Query(queryContext,
`SELECT id, job_type, status, result, error, created_at
FROM product_recognition_jobs
WHERE user_id = $1
ORDER BY created_at DESC`,
userID,
)
if queryError != nil {
return nil, queryError
}
defer rows.Close()
return scanProductJobSummaries(rows)
}
type productSummaryScanner interface {
Next() bool
Scan(dest ...any) error
Err() error
}
func scanProductJobSummaries(rows productSummaryScanner) ([]*ProductJobSummary, error) {
var summaries []*ProductJobSummary
for rows.Next() {
var summary ProductJobSummary
var resultJSON []byte
scanError := rows.Scan(
&summary.ID, &summary.JobType, &summary.Status,
&resultJSON, &summary.Error, &summary.CreatedAt,
)
if scanError != nil {
return nil, scanError
}
if resultJSON != nil {
var productResult ProductJobResult
if unmarshalError := json.Unmarshal(resultJSON, &productResult); unmarshalError == nil {
summary.Result = &productResult
}
}
summaries = append(summaries, &summary)
}
if rowsError := rows.Err(); rowsError != nil {
return nil, rowsError
}
return summaries, nil
}

View File

@@ -0,0 +1,196 @@
package recognition
import (
"context"
"encoding/json"
"fmt"
"log/slog"
"net/http"
"sync"
"github.com/go-chi/chi/v5"
"github.com/jackc/pgx/v5/pgxpool"
"github.com/food-ai/backend/internal/infra/middleware"
)
// ProductSSEBroker manages Server-Sent Events for product recognition job status updates.
// It listens on the PostgreSQL "product_job_update" NOTIFY channel and fans out events
// to all HTTP clients currently streaming a given job.
type ProductSSEBroker struct {
pool *pgxpool.Pool
productJobRepo ProductJobRepository
mu sync.RWMutex
clients map[string][]chan sseEvent
}
// NewProductSSEBroker creates a new ProductSSEBroker.
func NewProductSSEBroker(pool *pgxpool.Pool, productJobRepo ProductJobRepository) *ProductSSEBroker {
return &ProductSSEBroker{
pool: pool,
productJobRepo: productJobRepo,
clients: make(map[string][]chan sseEvent),
}
}
// Start launches the PostgreSQL LISTEN loop in a background goroutine.
func (broker *ProductSSEBroker) Start(brokerContext context.Context) {
go broker.listenLoop(brokerContext)
}
func (broker *ProductSSEBroker) listenLoop(brokerContext context.Context) {
conn, acquireError := broker.pool.Acquire(brokerContext)
if acquireError != nil {
slog.Error("ProductSSEBroker: acquire PG connection", "err", acquireError)
return
}
defer conn.Release()
if _, listenError := conn.Exec(brokerContext, "LISTEN product_job_update"); listenError != nil {
slog.Error("ProductSSEBroker: LISTEN product_job_update", "err", listenError)
return
}
for {
notification, waitError := conn.Conn().WaitForNotification(brokerContext)
if brokerContext.Err() != nil {
return
}
if waitError != nil {
slog.Error("ProductSSEBroker: wait for notification", "err", waitError)
return
}
broker.fanOut(brokerContext, notification.Payload)
}
}
func (broker *ProductSSEBroker) subscribe(jobID string) chan sseEvent {
channel := make(chan sseEvent, 10)
broker.mu.Lock()
broker.clients[jobID] = append(broker.clients[jobID], channel)
broker.mu.Unlock()
return channel
}
func (broker *ProductSSEBroker) unsubscribe(jobID string, channel chan sseEvent) {
broker.mu.Lock()
defer broker.mu.Unlock()
existing := broker.clients[jobID]
for index, existingChannel := range existing {
if existingChannel == channel {
broker.clients[jobID] = append(broker.clients[jobID][:index], broker.clients[jobID][index+1:]...)
break
}
}
if len(broker.clients[jobID]) == 0 {
delete(broker.clients, jobID)
}
}
func (broker *ProductSSEBroker) fanOut(fanContext context.Context, jobID string) {
job, fetchError := broker.productJobRepo.GetProductJobByID(fanContext, jobID)
if fetchError != nil {
slog.Warn("ProductSSEBroker: get job for fan-out", "job_id", jobID, "err", fetchError)
return
}
event, ok := productJobToSSEEvent(job)
if !ok {
return
}
broker.mu.RLock()
channels := make([]chan sseEvent, len(broker.clients[jobID]))
copy(channels, broker.clients[jobID])
broker.mu.RUnlock()
for _, channel := range channels {
select {
case channel <- event:
default:
// channel full; skip this delivery
}
}
}
func productJobToSSEEvent(job *ProductJob) (sseEvent, bool) {
switch job.Status {
case JobStatusProcessing:
return sseEvent{name: "processing", data: "{}"}, true
case JobStatusDone:
resultJSON, marshalError := json.Marshal(job.Result)
if marshalError != nil {
return sseEvent{}, false
}
return sseEvent{name: "done", data: string(resultJSON)}, true
case JobStatusFailed:
errMsg := "recognition failed, please try again"
if job.Error != nil {
errMsg = *job.Error
}
errorData, _ := json.Marshal(map[string]string{"error": errMsg})
return sseEvent{name: "failed", data: string(errorData)}, true
default:
return sseEvent{}, false
}
}
// ServeSSE handles GET /ai/product-jobs/{id}/stream — streams SSE events until the job completes.
func (broker *ProductSSEBroker) ServeSSE(responseWriter http.ResponseWriter, request *http.Request) {
jobID := chi.URLParam(request, "id")
userID := middleware.UserIDFromCtx(request.Context())
job, fetchError := broker.productJobRepo.GetProductJobByID(request.Context(), jobID)
if fetchError != nil {
writeErrorJSON(responseWriter, request, http.StatusNotFound, "job not found")
return
}
if job.UserID != userID {
writeErrorJSON(responseWriter, request, http.StatusForbidden, "forbidden")
return
}
flusher, supported := responseWriter.(http.Flusher)
if !supported {
writeErrorJSON(responseWriter, request, http.StatusInternalServerError, "streaming not supported")
return
}
responseWriter.Header().Set("Content-Type", "text/event-stream")
responseWriter.Header().Set("Cache-Control", "no-cache")
responseWriter.Header().Set("Connection", "keep-alive")
responseWriter.Header().Set("X-Accel-Buffering", "no")
if job.Status == JobStatusDone || job.Status == JobStatusFailed {
if event, ok := productJobToSSEEvent(job); ok {
fmt.Fprintf(responseWriter, "event: %s\ndata: %s\n\n", event.name, event.data)
flusher.Flush()
}
return
}
eventChannel := broker.subscribe(jobID)
defer broker.unsubscribe(jobID, eventChannel)
position, _ := broker.productJobRepo.ProductQueuePosition(request.Context(), job.UserPlan, job.CreatedAt)
estimatedSeconds := (position + 1) * 6
queuedData, _ := json.Marshal(map[string]any{
"position": position,
"estimated_seconds": estimatedSeconds,
})
fmt.Fprintf(responseWriter, "event: queued\ndata: %s\n\n", queuedData)
flusher.Flush()
for {
select {
case event := <-eventChannel:
fmt.Fprintf(responseWriter, "event: %s\ndata: %s\n\n", event.name, event.data)
flusher.Flush()
if event.name == "done" || event.name == "failed" {
return
}
case <-request.Context().Done():
return
}
}
}

View File

@@ -0,0 +1,152 @@
package recognition
import (
"context"
"log/slog"
"sync"
"github.com/food-ai/backend/internal/adapters/ai"
"github.com/food-ai/backend/internal/adapters/kafka"
)
// ProductWorkerPool processes product/receipt recognition jobs from a single Kafka topic.
type ProductWorkerPool struct {
productJobRepo ProductJobRepository
enricher *itemEnricher
recognizer Recognizer
consumer *kafka.Consumer
workerCount int
jobs chan string
}
// NewProductWorkerPool creates a ProductWorkerPool with five workers consuming from a single consumer.
func NewProductWorkerPool(
productJobRepo ProductJobRepository,
recognizer Recognizer,
productRepo ProductRepository,
consumer *kafka.Consumer,
) *ProductWorkerPool {
return &ProductWorkerPool{
productJobRepo: productJobRepo,
enricher: newItemEnricher(recognizer, productRepo),
recognizer: recognizer,
consumer: consumer,
workerCount: defaultWorkerCount,
jobs: make(chan string, 100),
}
}
// Start launches the Kafka feeder goroutine and all worker goroutines.
func (pool *ProductWorkerPool) Start(workerContext context.Context) {
go pool.consumer.Run(workerContext, pool.jobs)
for i := 0; i < pool.workerCount; i++ {
go pool.runWorker(workerContext)
}
}
func (pool *ProductWorkerPool) runWorker(workerContext context.Context) {
for {
select {
case jobID := <-pool.jobs:
pool.processJob(workerContext, jobID)
case <-workerContext.Done():
return
}
}
}
func (pool *ProductWorkerPool) processJob(workerContext context.Context, jobID string) {
job, fetchError := pool.productJobRepo.GetProductJobByID(workerContext, jobID)
if fetchError != nil {
slog.Error("product worker: fetch job", "job_id", jobID, "err", fetchError)
return
}
if updateError := pool.productJobRepo.UpdateProductJobStatus(workerContext, jobID, JobStatusProcessing, nil, nil); updateError != nil {
slog.Error("product worker: set processing status", "job_id", jobID, "err", updateError)
}
if notifyError := pool.productJobRepo.NotifyProductJobUpdate(workerContext, jobID); notifyError != nil {
slog.Warn("product worker: notify processing", "job_id", jobID, "err", notifyError)
}
var recognizedItems []ai.RecognizedItem
var unrecognized []ai.UnrecognizedItem
var recognizeError error
switch job.JobType {
case "receipt":
if len(job.Images) == 0 {
errMsg := "no images in job"
_ = pool.productJobRepo.UpdateProductJobStatus(workerContext, jobID, JobStatusFailed, nil, &errMsg)
_ = pool.productJobRepo.NotifyProductJobUpdate(workerContext, jobID)
return
}
imagePayload := job.Images[0]
var receiptResult *ai.ReceiptResult
receiptResult, recognizeError = pool.recognizer.RecognizeReceipt(workerContext, imagePayload.ImageBase64, imagePayload.MimeType, job.Lang)
if recognizeError == nil && receiptResult != nil {
recognizedItems = receiptResult.Items
unrecognized = receiptResult.Unrecognized
}
case "products":
allItems := make([][]ai.RecognizedItem, len(job.Images))
var wg sync.WaitGroup
for index, imagePayload := range job.Images {
wg.Add(1)
go func(workerIndex int, payload ProductImagePayload) {
defer wg.Done()
items, itemsError := pool.recognizer.RecognizeProducts(workerContext, payload.ImageBase64, payload.MimeType, job.Lang)
if itemsError != nil {
slog.WarnContext(workerContext, "product worker: recognize products from image", "index", workerIndex, "err", itemsError)
return
}
allItems[workerIndex] = items
}(index, imagePayload)
}
wg.Wait()
recognizedItems = MergeAndDeduplicate(allItems)
default:
errMsg := "unknown job type: " + job.JobType
slog.Error("product worker: unknown job type", "job_id", jobID, "job_type", job.JobType)
_ = pool.productJobRepo.UpdateProductJobStatus(workerContext, jobID, JobStatusFailed, nil, &errMsg)
_ = pool.productJobRepo.NotifyProductJobUpdate(workerContext, jobID)
return
}
if recognizeError != nil {
slog.Error("product worker: recognize", "job_id", jobID, "err", recognizeError)
errMsg := "recognition failed, please try again"
_ = pool.productJobRepo.UpdateProductJobStatus(workerContext, jobID, JobStatusFailed, nil, &errMsg)
_ = pool.productJobRepo.NotifyProductJobUpdate(workerContext, jobID)
return
}
enriched := pool.enricher.enrich(workerContext, recognizedItems)
resultItems := make([]ProductJobResultItem, len(enriched))
for index, item := range enriched {
resultItems[index] = ProductJobResultItem{
Name: item.Name,
Quantity: item.Quantity,
Unit: item.Unit,
Category: item.Category,
Confidence: item.Confidence,
MappingID: item.MappingID,
StorageDays: item.StorageDays,
}
}
jobResult := &ProductJobResult{
JobType: job.JobType,
Items: resultItems,
Unrecognized: unrecognized,
}
if updateError := pool.productJobRepo.UpdateProductJobStatus(workerContext, jobID, JobStatusDone, jobResult, nil); updateError != nil {
slog.Error("product worker: set done status", "job_id", jobID, "err", updateError)
}
if notifyError := pool.productJobRepo.NotifyProductJobUpdate(workerContext, jobID); notifyError != nil {
slog.Warn("product worker: notify done", "job_id", jobID, "err", notifyError)
}
}

View File

@@ -127,6 +127,10 @@ func NewRouter(
r.Get("/jobs/history", recognitionHandler.ListAllJobs)
r.Get("/jobs/{id}", recognitionHandler.GetJob)
r.Get("/jobs/{id}/stream", recognitionHandler.GetJobStream)
r.Get("/product-jobs", recognitionHandler.ListRecentProductJobs)
r.Get("/product-jobs/history", recognitionHandler.ListAllProductJobs)
r.Get("/product-jobs/{id}", recognitionHandler.GetProductJob)
r.Get("/product-jobs/{id}/stream", recognitionHandler.GetProductJobStream)
r.Post("/generate-menu", menuHandler.GenerateMenu)
})
})

View File

@@ -0,0 +1,24 @@
-- +goose Up
CREATE TABLE product_recognition_jobs (
id UUID PRIMARY KEY DEFAULT uuid_generate_v7(),
user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
user_plan TEXT NOT NULL,
job_type TEXT NOT NULL CHECK (job_type IN ('receipt', 'products')),
images JSONB NOT NULL,
lang TEXT NOT NULL DEFAULT 'en',
status TEXT NOT NULL DEFAULT 'pending',
result JSONB,
error TEXT,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
started_at TIMESTAMPTZ,
completed_at TIMESTAMPTZ
);
CREATE INDEX idx_product_recognition_jobs_user
ON product_recognition_jobs (user_id, created_at DESC);
CREATE INDEX idx_product_recognition_jobs_status
ON product_recognition_jobs (status, user_plan, created_at ASC);
-- +goose Down
DROP TABLE IF EXISTS product_recognition_jobs;

View File

@@ -13,6 +13,8 @@ import '../../features/profile/profile_provider.dart';
import '../../shared/models/user.dart';
import '../../features/products/products_screen.dart';
import '../../features/products/add_product_screen.dart';
import '../../features/products/product_job_history_screen.dart';
import '../../features/scan/product_job_watch_screen.dart';
import '../../features/scan/scan_screen.dart';
import '../../features/scan/recognition_confirm_screen.dart';
import '../../features/scan/recognition_service.dart';
@@ -129,6 +131,17 @@ final routerProvider = Provider<GoRouter>((ref) {
path: '/scan/history',
builder: (_, __) => const RecognitionHistoryScreen(),
),
GoRoute(
path: '/scan/product-job-watch',
builder: (context, state) {
final jobCreated = state.extra as ProductJobCreated;
return ProductJobWatchScreen(jobCreated: jobCreated);
},
),
GoRoute(
path: '/products/job-history',
builder: (_, __) => const ProductJobHistoryScreen(),
),
ShellRoute(
builder: (context, state, child) => MainShell(child: child),
routes: [

View File

@@ -0,0 +1,114 @@
import 'package:flutter/material.dart';
import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:go_router/go_router.dart';
import 'package:intl/intl.dart';
import '../../l10n/app_localizations.dart';
import '../scan/recognition_service.dart';
import 'product_job_provider.dart';
/// Shows the complete history of product/receipt recognition scans.
class ProductJobHistoryScreen extends ConsumerWidget {
const ProductJobHistoryScreen({super.key});
@override
Widget build(BuildContext context, WidgetRef ref) {
final l10n = AppLocalizations.of(context)!;
final state = ref.watch(allProductJobsProvider);
return Scaffold(
appBar: AppBar(
title: Text(l10n.productJobHistoryTitle),
actions: [
IconButton(
icon: const Icon(Icons.refresh),
onPressed: () =>
ref.read(allProductJobsProvider.notifier).refresh(),
),
],
),
body: state.when(
loading: () => const Center(child: CircularProgressIndicator()),
error: (err, _) => Center(
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
const Icon(Icons.error_outline, size: 48, color: Colors.red),
const SizedBox(height: 12),
FilledButton(
onPressed: () =>
ref.read(allProductJobsProvider.notifier).refresh(),
child: const Text('Retry'),
),
],
),
),
data: (jobs) => jobs.isEmpty
? Center(
child: Text(
l10n.recentScans,
style: Theme.of(context).textTheme.bodyLarge,
),
)
: RefreshIndicator(
onRefresh: () =>
ref.read(allProductJobsProvider.notifier).refresh(),
child: ListView.builder(
itemCount: jobs.length,
itemBuilder: (context, index) =>
_JobTile(job: jobs[index]),
),
),
),
);
}
}
class _JobTile extends StatelessWidget {
const _JobTile({required this.job});
final ProductJobSummary job;
@override
Widget build(BuildContext context) {
final l10n = AppLocalizations.of(context)!;
final theme = Theme.of(context);
final isDone = job.status == 'done';
final isFailed = job.status == 'failed';
final dateLabel =
DateFormat.yMd().add_jm().format(job.createdAt.toLocal());
final itemCount = job.result?.items.length ?? 0;
return ListTile(
leading: Icon(
job.jobType == 'receipt'
? Icons.receipt_long_outlined
: Icons.camera_alt_outlined,
color: theme.colorScheme.primary,
),
title: Text(
job.jobType == 'receipt' ? l10n.jobTypeReceipt : l10n.jobTypeProducts,
),
subtitle: Text(dateLabel, style: theme.textTheme.bodySmall),
trailing: isDone
? Chip(
label: Text(
'$itemCount',
style: theme.textTheme.labelSmall,
),
avatar: const Icon(Icons.check_circle_outline,
size: 16, color: Colors.green),
)
: isFailed
? const Icon(Icons.error_outline, color: Colors.red)
: const SizedBox(
width: 16,
height: 16,
child: CircularProgressIndicator(strokeWidth: 2),
),
onTap: isDone && job.result != null
? () => context.push('/scan/confirm', extra: job.result!.items)
: null,
);
}
}

View File

@@ -0,0 +1,75 @@
import 'package:flutter_riverpod/flutter_riverpod.dart';
import '../scan/recognition_service.dart';
// ---------------------------------------------------------------------------
// Recent product jobs (last 7 days) — shown on the products screen
// ---------------------------------------------------------------------------
class _RecentProductJobsNotifier
extends StateNotifier<AsyncValue<List<ProductJobSummary>>> {
_RecentProductJobsNotifier(this._service) : super(const AsyncValue.loading()) {
load();
}
final RecognitionService _service;
Future<void> load() async {
state = const AsyncValue.loading();
try {
final jobs = await _service.listRecentProductJobs();
state = AsyncValue.data(jobs);
} catch (error, stack) {
state = AsyncValue.error(error, stack);
}
}
Future<void> refresh() => load();
}
final recentProductJobsProvider = StateNotifierProvider<
_RecentProductJobsNotifier, AsyncValue<List<ProductJobSummary>>>((ref) {
final service = ref.read(recognitionServiceProvider);
return _RecentProductJobsNotifier(service);
});
// ---------------------------------------------------------------------------
// All product jobs — shown on the history screen
// ---------------------------------------------------------------------------
class _AllProductJobsNotifier
extends StateNotifier<AsyncValue<List<ProductJobSummary>>> {
_AllProductJobsNotifier(this._service) : super(const AsyncValue.loading()) {
load();
}
final RecognitionService _service;
Future<void> load() async {
state = const AsyncValue.loading();
try {
final jobs = await _service.listAllProductJobs();
state = AsyncValue.data(jobs);
} catch (error, stack) {
state = AsyncValue.error(error, stack);
}
}
Future<void> refresh() => load();
}
final allProductJobsProvider = StateNotifierProvider<_AllProductJobsNotifier,
AsyncValue<List<ProductJobSummary>>>((ref) {
final service = ref.read(recognitionServiceProvider);
return _AllProductJobsNotifier(service);
});
// ---------------------------------------------------------------------------
// SSE stream for a single product job
// ---------------------------------------------------------------------------
final productJobStreamProvider =
StreamProvider.family<ProductJobEvent, String>((ref, jobId) {
final service = ref.read(recognitionServiceProvider);
return service.streamProductJobEvents(jobId);
});

View File

@@ -3,7 +3,10 @@ import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:go_router/go_router.dart';
import '../../core/locale/unit_provider.dart';
import '../../l10n/app_localizations.dart';
import '../../shared/models/user_product.dart';
import '../scan/recognition_service.dart';
import 'product_job_provider.dart';
import 'user_product_provider.dart';
void _showAddMenu(BuildContext context) {
@@ -57,21 +60,181 @@ class ProductsScreen extends ConsumerWidget {
icon: const Icon(Icons.add),
label: const Text('Добавить'),
),
body: state.when(
loading: () => const Center(child: CircularProgressIndicator()),
error: (err, _) => _ErrorView(
onRetry: () => ref.read(userProductsProvider.notifier).refresh(),
),
data: (products) => products.isEmpty
? _EmptyState(
onAdd: () => _showAddMenu(context),
)
: _ProductList(products: products),
body: Column(
children: [
const _RecentScansSection(),
Expanded(
child: state.when(
loading: () => const Center(child: CircularProgressIndicator()),
error: (err, _) => _ErrorView(
onRetry: () => ref.read(userProductsProvider.notifier).refresh(),
),
data: (products) => products.isEmpty
? _EmptyState(onAdd: () => _showAddMenu(context))
: _ProductList(products: products),
),
),
],
),
);
}
}
// ---------------------------------------------------------------------------
// Recent product recognition scans section
// ---------------------------------------------------------------------------
class _RecentScansSection extends ConsumerWidget {
const _RecentScansSection();
@override
Widget build(BuildContext context, WidgetRef ref) {
final jobsState = ref.watch(recentProductJobsProvider);
final jobs = jobsState.valueOrNull;
if (jobs == null || jobs.isEmpty) return const SizedBox.shrink();
final l10n = AppLocalizations.of(context)!;
final theme = Theme.of(context);
return Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Padding(
padding: const EdgeInsets.fromLTRB(16, 12, 8, 4),
child: Row(
children: [
Icon(Icons.document_scanner_outlined,
size: 18, color: theme.colorScheme.primary),
const SizedBox(width: 6),
Text(
l10n.recentScans,
style: theme.textTheme.titleSmall?.copyWith(
color: theme.colorScheme.onSurfaceVariant,
fontWeight: FontWeight.w600,
),
),
const Spacer(),
TextButton(
onPressed: () => context.push('/products/job-history'),
child: Text(l10n.seeAllScans),
),
],
),
),
SizedBox(
height: 72,
child: ListView.builder(
scrollDirection: Axis.horizontal,
padding: const EdgeInsets.symmetric(horizontal: 12),
itemCount: jobs.length > 5 ? 5 : jobs.length,
itemBuilder: (context, index) =>
_ScanJobChip(job: jobs[index]),
),
),
const Divider(height: 1),
],
);
}
}
class _ScanJobChip extends ConsumerWidget {
const _ScanJobChip({required this.job});
final ProductJobSummary job;
@override
Widget build(BuildContext context, WidgetRef ref) {
final theme = Theme.of(context);
final isDone = job.status == 'done';
final isFailed = job.status == 'failed';
final isActive = !isDone && !isFailed;
final l10n = AppLocalizations.of(context)!;
return Padding(
padding: const EdgeInsets.symmetric(horizontal: 4, vertical: 8),
child: InkWell(
borderRadius: BorderRadius.circular(12),
onTap: isDone && job.result != null
? () => context.push('/scan/confirm', extra: job.result!.items)
: null,
child: Container(
padding: const EdgeInsets.symmetric(horizontal: 12, vertical: 8),
decoration: BoxDecoration(
borderRadius: BorderRadius.circular(12),
color: theme.colorScheme.surfaceContainerHighest,
),
child: Row(
mainAxisSize: MainAxisSize.min,
children: [
Icon(
job.jobType == 'receipt'
? Icons.receipt_long_outlined
: Icons.camera_alt_outlined,
size: 20,
color: theme.colorScheme.onSurfaceVariant,
),
const SizedBox(width: 8),
Column(
mainAxisAlignment: MainAxisAlignment.center,
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
job.jobType == 'receipt'
? l10n.jobTypeReceipt
: l10n.jobTypeProducts,
style: theme.textTheme.labelMedium,
),
_StatusBadge(
status: job.status,
isFailed: isFailed,
isActive: isActive,
),
],
),
],
),
),
),
);
}
}
class _StatusBadge extends StatelessWidget {
const _StatusBadge({
required this.status,
required this.isFailed,
required this.isActive,
});
final String status;
final bool isFailed;
final bool isActive;
@override
Widget build(BuildContext context) {
final theme = Theme.of(context);
if (isActive) {
return Row(
mainAxisSize: MainAxisSize.min,
children: [
SizedBox(
width: 10,
height: 10,
child: CircularProgressIndicator(strokeWidth: 1.5),
),
const SizedBox(width: 4),
Text(status, style: theme.textTheme.labelSmall),
],
);
}
return Icon(
isFailed ? Icons.error_outline : Icons.check_circle_outline,
size: 14,
color: isFailed ? Colors.red : Colors.green,
);
}
}
// ---------------------------------------------------------------------------
// Product list split into expiring / normal sections
// ---------------------------------------------------------------------------

View File

@@ -0,0 +1,172 @@
import 'package:flutter/material.dart';
import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:go_router/go_router.dart';
import '../../l10n/app_localizations.dart';
import '../products/product_job_provider.dart';
import 'recognition_service.dart';
/// Watches a product recognition job via SSE and navigates to the confirmation
/// screen when the job finishes.
class ProductJobWatchScreen extends ConsumerStatefulWidget {
const ProductJobWatchScreen({super.key, required this.jobCreated});
final ProductJobCreated jobCreated;
@override
ConsumerState<ProductJobWatchScreen> createState() =>
_ProductJobWatchScreenState();
}
class _ProductJobWatchScreenState
extends ConsumerState<ProductJobWatchScreen> {
String? _errorMessage;
bool _navigated = false;
@override
Widget build(BuildContext context) {
final l10n = AppLocalizations.of(context)!;
ref.listen(
productJobStreamProvider(widget.jobCreated.jobId),
(previous, next) {
next.whenData((event) {
if (_navigated) return;
if (event is ProductJobDone) {
_navigated = true;
ref.invalidate(recentProductJobsProvider);
context.pushReplacement('/scan/confirm', extra: event.result.items);
} else if (event is ProductJobFailed) {
setState(() => _errorMessage = event.error);
}
});
},
);
final streamState =
ref.watch(productJobStreamProvider(widget.jobCreated.jobId));
return Scaffold(
appBar: AppBar(title: Text(l10n.processingProducts)),
body: _errorMessage != null
? _ErrorBody(message: _errorMessage!)
: streamState.when(
loading: () => _ProgressBody(jobCreated: widget.jobCreated),
data: (event) => switch (event) {
ProductJobQueued(
position: final position,
estimatedSeconds: final estimated,
) =>
_QueuedBody(position: position, estimatedSeconds: estimated),
ProductJobProcessing() =>
_ProcessingBody(label: l10n.processingProducts),
ProductJobDone() => _ProcessingBody(label: l10n.processingProducts),
ProductJobFailed(error: final err) => _ErrorBody(message: err),
},
error: (err, _) => _ErrorBody(message: err.toString()),
),
);
}
}
class _ProgressBody extends StatelessWidget {
const _ProgressBody({required this.jobCreated});
final ProductJobCreated jobCreated;
@override
Widget build(BuildContext context) {
return _QueuedBody(
position: jobCreated.queuePosition,
estimatedSeconds: jobCreated.estimatedSeconds,
);
}
}
class _QueuedBody extends StatelessWidget {
const _QueuedBody(
{required this.position, required this.estimatedSeconds});
final int position;
final int estimatedSeconds;
@override
Widget build(BuildContext context) {
final l10n = AppLocalizations.of(context)!;
return Center(
child: Padding(
padding: const EdgeInsets.all(32),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
const CircularProgressIndicator(),
const SizedBox(height: 24),
Text(
l10n.processingProducts,
style: Theme.of(context).textTheme.titleMedium,
),
if (position > 0) ...[
const SizedBox(height: 8),
Text(
'~${estimatedSeconds}s',
style: Theme.of(context).textTheme.bodySmall,
),
],
],
),
),
);
}
}
class _ProcessingBody extends StatelessWidget {
const _ProcessingBody({required this.label});
final String label;
@override
Widget build(BuildContext context) {
return Center(
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
const CircularProgressIndicator(),
const SizedBox(height: 24),
Text(label, style: Theme.of(context).textTheme.titleMedium),
],
),
);
}
}
class _ErrorBody extends StatelessWidget {
const _ErrorBody({required this.message});
final String message;
@override
Widget build(BuildContext context) {
return Center(
child: Padding(
padding: const EdgeInsets.all(32),
child: Column(
mainAxisSize: MainAxisSize.min,
children: [
const Icon(Icons.error_outline, size: 48, color: Colors.red),
const SizedBox(height: 16),
Text(
message,
textAlign: TextAlign.center,
style: Theme.of(context).textTheme.bodyMedium,
),
const SizedBox(height: 24),
FilledButton(
onPressed: () => context.pop(),
child: const Text('Back'),
),
],
),
),
);
}
}

View File

@@ -1,7 +1,6 @@
import 'dart:async';
import 'dart:convert';
import 'package:dio/dio.dart';
import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:http/http.dart' as http;
import 'package:image_picker/image_picker.dart';
@@ -142,7 +141,110 @@ class DishResult {
}
// ---------------------------------------------------------------------------
// Async job models
// Product job models
// ---------------------------------------------------------------------------
/// Result of a completed product or receipt recognition job.
class ProductJobResult {
final String jobType;
final List<RecognizedItem> items;
final List<UnrecognizedItem> unrecognized;
const ProductJobResult({
required this.jobType,
required this.items,
required this.unrecognized,
});
factory ProductJobResult.fromJson(Map<String, dynamic> json) {
return ProductJobResult(
jobType: json['job_type'] as String? ?? '',
items: (json['items'] as List<dynamic>? ?? [])
.map((element) => RecognizedItem.fromJson(element as Map<String, dynamic>))
.toList(),
unrecognized: (json['unrecognized'] as List<dynamic>? ?? [])
.map((element) => UnrecognizedItem.fromJson(element as Map<String, dynamic>))
.toList(),
);
}
}
/// The 202 response from POST /ai/recognize-receipt or /ai/recognize-products.
class ProductJobCreated {
final String jobId;
final int queuePosition;
final int estimatedSeconds;
const ProductJobCreated({
required this.jobId,
required this.queuePosition,
required this.estimatedSeconds,
});
factory ProductJobCreated.fromJson(Map<String, dynamic> json) {
return ProductJobCreated(
jobId: json['job_id'] as String,
queuePosition: json['queue_position'] as int? ?? 0,
estimatedSeconds: json['estimated_seconds'] as int? ?? 0,
);
}
}
/// A lightweight summary of a product recognition job for list endpoints.
class ProductJobSummary {
final String id;
final String jobType;
final String status;
final ProductJobResult? result;
final String? error;
final DateTime createdAt;
const ProductJobSummary({
required this.id,
required this.jobType,
required this.status,
this.result,
this.error,
required this.createdAt,
});
factory ProductJobSummary.fromJson(Map<String, dynamic> json) {
return ProductJobSummary(
id: json['id'] as String,
jobType: json['job_type'] as String? ?? '',
status: json['status'] as String? ?? '',
result: json['result'] != null
? ProductJobResult.fromJson(json['result'] as Map<String, dynamic>)
: null,
error: json['error'] as String?,
createdAt: DateTime.parse(json['created_at'] as String),
);
}
}
/// Events emitted by the SSE stream for a product recognition job.
sealed class ProductJobEvent {}
class ProductJobQueued extends ProductJobEvent {
final int position;
final int estimatedSeconds;
ProductJobQueued({required this.position, required this.estimatedSeconds});
}
class ProductJobProcessing extends ProductJobEvent {}
class ProductJobDone extends ProductJobEvent {
final ProductJobResult result;
ProductJobDone(this.result);
}
class ProductJobFailed extends ProductJobEvent {
final String error;
ProductJobFailed(this.error);
}
// ---------------------------------------------------------------------------
// Dish job models
// ---------------------------------------------------------------------------
/// A lightweight summary of a dish recognition job (no image payload).
@@ -239,32 +341,71 @@ class RecognitionService {
final AppConfig _appConfig;
final String Function() _languageGetter;
/// Recognizes food items from a receipt photo.
Future<ReceiptResult> recognizeReceipt(XFile image) async {
/// Submits a receipt image for async recognition.
/// Returns immediately with a [ProductJobCreated] containing the job ID.
Future<ProductJobCreated> submitReceiptRecognition(XFile image) async {
final payload = await _buildImagePayload(image);
final data = await _client.post('/ai/recognize-receipt', data: payload);
return ReceiptResult(
items: (data['items'] as List<dynamic>? ?? [])
.map((element) => RecognizedItem.fromJson(element as Map<String, dynamic>))
.toList(),
unrecognized: (data['unrecognized'] as List<dynamic>? ?? [])
.map((element) => UnrecognizedItem.fromJson(element as Map<String, dynamic>))
.toList(),
);
return ProductJobCreated.fromJson(data);
}
/// Recognizes food items from 13 product photos.
Future<List<RecognizedItem>> recognizeProducts(List<XFile> images) async {
/// Submits 13 product images for async recognition.
/// Returns immediately with a [ProductJobCreated] containing the job ID.
Future<ProductJobCreated> submitProductsRecognition(List<XFile> images) async {
final imageList = await Future.wait(images.map(_buildImagePayload));
final data = await _client.post(
'/ai/recognize-products',
data: {'images': imageList},
);
return (data['items'] as List<dynamic>? ?? [])
.map((element) => RecognizedItem.fromJson(element as Map<String, dynamic>))
return ProductJobCreated.fromJson(data);
}
/// Returns product recognition jobs from the last 7 days.
Future<List<ProductJobSummary>> listRecentProductJobs() async {
final data = await _client.getList('/ai/product-jobs');
return data
.map((element) =>
ProductJobSummary.fromJson(element as Map<String, dynamic>))
.toList();
}
/// Returns all product recognition jobs for the current user, newest first.
Future<List<ProductJobSummary>> listAllProductJobs() async {
final data = await _client.getList('/ai/product-jobs/history');
return data
.map((element) =>
ProductJobSummary.fromJson(element as Map<String, dynamic>))
.toList();
}
/// Opens an SSE stream for product job [jobId] and emits [ProductJobEvent]s
/// until the job reaches a terminal state or the stream is cancelled.
Stream<ProductJobEvent> streamProductJobEvents(String jobId) async* {
final streamUri = Uri.parse('${_appConfig.apiBaseUrl}/ai/product-jobs/$jobId/stream');
await for (final parsed in _openSseStream(streamUri)) {
final eventName = parsed.$1;
final json = parsed.$2;
ProductJobEvent? event;
switch (eventName) {
case 'queued':
event = ProductJobQueued(
position: json['position'] as int? ?? 0,
estimatedSeconds: json['estimated_seconds'] as int? ?? 0,
);
case 'processing':
event = ProductJobProcessing();
case 'done':
event = ProductJobDone(ProductJobResult.fromJson(json));
case 'failed':
event = ProductJobFailed(json['error'] as String? ?? 'Recognition failed');
}
if (event != null) {
yield event;
if (event is ProductJobDone || event is ProductJobFailed) return;
}
}
}
/// Submits a dish image for async recognition.
/// Returns a [DishJobCreated] with the job ID and queue position.
Future<DishJobCreated> submitDishRecognition(
@@ -298,21 +439,45 @@ class RecognitionService {
.toList();
}
/// Opens an SSE stream for job [jobId] and emits [DishJobEvent]s until the
/// job reaches a terminal state (done or failed) or the stream is cancelled.
/// Opens an SSE stream for dish job [jobId] and emits [DishJobEvent]s until
/// the job reaches a terminal state (done or failed) or the stream is cancelled.
Stream<DishJobEvent> streamJobEvents(String jobId) async* {
final streamUri = Uri.parse('${_appConfig.apiBaseUrl}/ai/jobs/$jobId/stream');
await for (final parsed in _openSseStream(streamUri)) {
final eventName = parsed.$1;
final json = parsed.$2;
DishJobEvent? event;
switch (eventName) {
case 'queued':
event = DishJobQueued(
position: json['position'] as int? ?? 0,
estimatedSeconds: json['estimated_seconds'] as int? ?? 0,
);
case 'processing':
event = DishJobProcessing();
case 'done':
event = DishJobDone(DishResult.fromJson(json));
case 'failed':
event = DishJobFailed(json['error'] as String? ?? 'Recognition failed');
}
if (event != null) {
yield event;
if (event is DishJobDone || event is DishJobFailed) return;
}
}
}
/// Opens a raw SSE connection and emits (eventName, jsonData) pairs.
///
/// Uses [http.Client] instead of Dio because on Flutter Web Dio relies on
/// XHR which does not support SSE streaming. [http.BrowserClient] reads the
/// response via XHR onProgress events and delivers chunks before the
/// connection is closed.
Stream<DishJobEvent> streamJobEvents(String jobId) async* {
/// XHR which does not support SSE streaming.
Stream<(String, Map<String, dynamic>)> _openSseStream(Uri streamUri) async* {
final token = await _storage.getAccessToken();
final language = _languageGetter();
final uri = Uri.parse('${_appConfig.apiBaseUrl}/ai/jobs/$jobId/stream');
final httpClient = http.Client();
try {
final request = http.Request('GET', uri)
final request = http.Request('GET', streamUri)
..headers['Authorization'] = token != null ? 'Bearer $token' : ''
..headers['Accept'] = 'text/event-stream'
..headers['Accept-Language'] = language
@@ -329,7 +494,6 @@ class RecognitionService {
buffer.write(chunk);
final text = buffer.toString();
// Process complete SSE messages (terminated by \n\n).
int doubleNewlineIndex;
var remaining = text;
while ((doubleNewlineIndex = remaining.indexOf('\n\n')) != -1) {
@@ -341,10 +505,13 @@ class RecognitionService {
currentEventName = line.substring(6).trim();
} else if (line.startsWith('data:')) {
final dataPayload = line.substring(5).trim();
final event = _parseSseEvent(currentEventName, dataPayload);
if (event != null) {
yield event;
if (event is DishJobDone || event is DishJobFailed) return;
try {
final jsonData = jsonDecode(dataPayload) as Map<String, dynamic>;
if (currentEventName != null) {
yield (currentEventName, jsonData);
}
} catch (_) {
// Malformed JSON — skip this message.
}
currentEventName = null;
}
@@ -360,29 +527,6 @@ class RecognitionService {
}
}
DishJobEvent? _parseSseEvent(String? eventName, String dataPayload) {
try {
final json = jsonDecode(dataPayload) as Map<String, dynamic>;
switch (eventName) {
case 'queued':
return DishJobQueued(
position: json['position'] as int? ?? 0,
estimatedSeconds: json['estimated_seconds'] as int? ?? 0,
);
case 'processing':
return DishJobProcessing();
case 'done':
return DishJobDone(DishResult.fromJson(json));
case 'failed':
return DishJobFailed(json['error'] as String? ?? 'Recognition failed');
default:
return null;
}
} catch (_) {
return null;
}
}
Future<Map<String, String>> _buildImagePayload(XFile image) async {
final bytes = await image.readAsBytes();
final base64Data = base64Encode(bytes);

View File

@@ -82,30 +82,26 @@ class _ScanScreenState extends ConsumerState<ScanScreen> {
final service = ref.read(recognitionServiceProvider);
final l10n = AppLocalizations.of(context)!;
// Show loading overlay while the AI processes.
showDialog(
context: context,
barrierDismissible: false,
builder: (dialogContext) => _LoadingDialog(label: l10n.recognizing),
builder: (dialogContext) => _LoadingDialog(label: l10n.scanSubmitting),
);
try {
ProductJobCreated jobCreated;
switch (mode) {
case _Mode.receipt:
final result = await service.recognizeReceipt(files.first);
if (context.mounted) {
Navigator.pop(context); // close loading
context.push('/scan/confirm', extra: result.items);
}
jobCreated = await service.submitReceiptRecognition(files.first);
case _Mode.products:
final items = await service.recognizeProducts(files);
if (context.mounted) {
Navigator.pop(context);
context.push('/scan/confirm', extra: items);
}
jobCreated = await service.submitProductsRecognition(files);
}
if (context.mounted) {
Navigator.pop(context); // close loading dialog
context.push('/scan/product-job-watch', extra: jobCreated);
}
} catch (recognitionError) {
debugPrint('Recognition error: $recognitionError');
debugPrint('Recognition submit error: $recognitionError');
if (context.mounted) {
Navigator.pop(context); // close loading
ScaffoldMessenger.of(context).showSnackBar(

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "تخطي اختيار المنتجات",
"planProductsSkipNoProducts": "التخطيط بدون منتجات",
"planProductsSelectAll": "تحديد الكل",
"planProductsDeselectAll": "إلغاء تحديد الكل"
"planProductsDeselectAll": "إلغاء تحديد الكل",
"recentScans": "عمليات المسح الأخيرة",
"seeAllScans": "عرض الكل",
"productJobHistoryTitle": "سجل المسح",
"jobTypeReceipt": "إيصال",
"jobTypeProducts": "منتجات",
"scanSubmitting": "جارٍ الإرسال...",
"processingProducts": "جارٍ المعالجة..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Produktauswahl überspringen",
"planProductsSkipNoProducts": "Ohne Produkte planen",
"planProductsSelectAll": "Alle auswählen",
"planProductsDeselectAll": "Alle abwählen"
"planProductsDeselectAll": "Alle abwählen",
"recentScans": "Letzte Scans",
"seeAllScans": "Alle",
"productJobHistoryTitle": "Scan-Verlauf",
"jobTypeReceipt": "Kassenbon",
"jobTypeProducts": "Produkte",
"scanSubmitting": "Wird gesendet...",
"processingProducts": "Verarbeitung..."
}

View File

@@ -28,7 +28,9 @@
"queuePosition": "Position {position}",
"@queuePosition": {
"placeholders": {
"position": { "type": "int" }
"position": {
"type": "int"
}
}
},
"processing": "Processing...",
@@ -116,7 +118,9 @@
"noResultsForQuery": "Nothing found for \"{query}\"",
"@noResultsForQuery": {
"placeholders": {
"query": { "type": "String" }
"query": {
"type": "String"
}
}
},
"servingsLabel": "Servings",
@@ -125,7 +129,9 @@
"planningForDate": "Planning for {date}",
"@planningForDate": {
"placeholders": {
"date": { "type": "String" }
"date": {
"type": "String"
}
}
},
"markAsEaten": "Mark as eaten",
@@ -134,7 +140,6 @@
"generateWeekSubtitle": "AI will create a menu with breakfast, lunch and dinner for the whole week",
"generatingMenu": "Generating menu...",
"dayPlannedLabel": "Day planned",
"planMenuButton": "Plan meals",
"planMenuTitle": "What to plan?",
"planOptionSingleMeal": "Single meal",
@@ -149,16 +154,23 @@
"planSelectMealType": "Meal type",
"planSelectRange": "Select period",
"planGenerateButton": "Plan",
"planGenerating": "Generating plan\u2026",
"planGenerating": "Generating plan",
"planSuccess": "Menu planned!",
"planProductsTitle": "Products for the menu",
"planProductsSubtitle": "AI will take the selected products into account when generating recipes",
"planProductsEmpty": "No products added",
"planProductsEmptyMessage": "Add products you have at home \u2014 AI will suggest recipes from what you already have",
"planProductsEmptyMessage": "Add products you have at home AI will suggest recipes from what you already have",
"planProductsAddProducts": "Add products",
"planProductsContinue": "Continue",
"planProductsSkip": "Skip product selection",
"planProductsSkipNoProducts": "Plan without products",
"planProductsSelectAll": "Select all",
"planProductsDeselectAll": "Deselect all"
"planProductsDeselectAll": "Deselect all",
"recentScans": "Recent scans",
"seeAllScans": "See all",
"productJobHistoryTitle": "Scan history",
"jobTypeReceipt": "Receipt",
"jobTypeProducts": "Products",
"scanSubmitting": "Submitting...",
"processingProducts": "Processing..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Omitir selección de productos",
"planProductsSkipNoProducts": "Planificar sin productos",
"planProductsSelectAll": "Seleccionar todo",
"planProductsDeselectAll": "Deseleccionar todo"
"planProductsDeselectAll": "Deseleccionar todo",
"recentScans": "Escaneos recientes",
"seeAllScans": "Ver todos",
"productJobHistoryTitle": "Historial de escaneos",
"jobTypeReceipt": "Ticket",
"jobTypeProducts": "Productos",
"scanSubmitting": "Enviando...",
"processingProducts": "Procesando..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Ignorer la sélection des produits",
"planProductsSkipNoProducts": "Planifier sans produits",
"planProductsSelectAll": "Tout sélectionner",
"planProductsDeselectAll": "Tout désélectionner"
"planProductsDeselectAll": "Tout désélectionner",
"recentScans": "Scans récents",
"seeAllScans": "Tout voir",
"productJobHistoryTitle": "Historique des scans",
"jobTypeReceipt": "Reçu",
"jobTypeProducts": "Produits",
"scanSubmitting": "Envoi...",
"processingProducts": "Traitement..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "उत्पाद चयन छोड़ें",
"planProductsSkipNoProducts": "उत्पादों के बिना योजना बनाएं",
"planProductsSelectAll": "सभी चुनें",
"planProductsDeselectAll": "सभी हटाएं"
"planProductsDeselectAll": "सभी हटाएं",
"recentScans": "हाल के स्कैन",
"seeAllScans": "सभी देखें",
"productJobHistoryTitle": "स्कैन इतिहास",
"jobTypeReceipt": "रसीद",
"jobTypeProducts": "उत्पाद",
"scanSubmitting": "सबमिट हो रहा है...",
"processingProducts": "प्रोसेस हो रहा है..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Salta la selezione dei prodotti",
"planProductsSkipNoProducts": "Pianifica senza prodotti",
"planProductsSelectAll": "Seleziona tutto",
"planProductsDeselectAll": "Deseleziona tutto"
"planProductsDeselectAll": "Deseleziona tutto",
"recentScans": "Scansioni recenti",
"seeAllScans": "Vedi tutto",
"productJobHistoryTitle": "Cronologia scansioni",
"jobTypeReceipt": "Scontrino",
"jobTypeProducts": "Prodotti",
"scanSubmitting": "Invio...",
"processingProducts": "Elaborazione..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "食材選択をスキップ",
"planProductsSkipNoProducts": "食材なしでプランニング",
"planProductsSelectAll": "すべて選択",
"planProductsDeselectAll": "すべて解除"
"planProductsDeselectAll": "すべて解除",
"recentScans": "最近のスキャン",
"seeAllScans": "すべて表示",
"productJobHistoryTitle": "スキャン履歴",
"jobTypeReceipt": "レシート",
"jobTypeProducts": "商品",
"scanSubmitting": "送信中...",
"processingProducts": "処理中..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "재료 선택 건너뛰기",
"planProductsSkipNoProducts": "재료 없이 계획하기",
"planProductsSelectAll": "모두 선택",
"planProductsDeselectAll": "모두 해제"
"planProductsDeselectAll": "모두 해제",
"recentScans": "최근 스캔",
"seeAllScans": "전체 보기",
"productJobHistoryTitle": "스캔 기록",
"jobTypeReceipt": "영수증",
"jobTypeProducts": "제품",
"scanSubmitting": "제출 중...",
"processingProducts": "처리 중..."
}

View File

@@ -987,6 +987,48 @@ abstract class AppLocalizations {
/// In en, this message translates to:
/// **'Deselect all'**
String get planProductsDeselectAll;
/// No description provided for @recentScans.
///
/// In en, this message translates to:
/// **'Recent scans'**
String get recentScans;
/// No description provided for @seeAllScans.
///
/// In en, this message translates to:
/// **'See all'**
String get seeAllScans;
/// No description provided for @productJobHistoryTitle.
///
/// In en, this message translates to:
/// **'Scan history'**
String get productJobHistoryTitle;
/// No description provided for @jobTypeReceipt.
///
/// In en, this message translates to:
/// **'Receipt'**
String get jobTypeReceipt;
/// No description provided for @jobTypeProducts.
///
/// In en, this message translates to:
/// **'Products'**
String get jobTypeProducts;
/// No description provided for @scanSubmitting.
///
/// In en, this message translates to:
/// **'Submitting...'**
String get scanSubmitting;
/// No description provided for @processingProducts.
///
/// In en, this message translates to:
/// **'Processing...'**
String get processingProducts;
}
class _AppLocalizationsDelegate

View File

@@ -452,4 +452,25 @@ class AppLocalizationsAr extends AppLocalizations {
@override
String get planProductsDeselectAll => 'إلغاء تحديد الكل';
@override
String get recentScans => 'عمليات المسح الأخيرة';
@override
String get seeAllScans => 'عرض الكل';
@override
String get productJobHistoryTitle => 'سجل المسح';
@override
String get jobTypeReceipt => 'إيصال';
@override
String get jobTypeProducts => 'منتجات';
@override
String get scanSubmitting => 'جارٍ الإرسال...';
@override
String get processingProducts => 'جارٍ المعالجة...';
}

View File

@@ -454,4 +454,25 @@ class AppLocalizationsDe extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Alle abwählen';
@override
String get recentScans => 'Letzte Scans';
@override
String get seeAllScans => 'Alle';
@override
String get productJobHistoryTitle => 'Scan-Verlauf';
@override
String get jobTypeReceipt => 'Kassenbon';
@override
String get jobTypeProducts => 'Produkte';
@override
String get scanSubmitting => 'Wird gesendet...';
@override
String get processingProducts => 'Verarbeitung...';
}

View File

@@ -452,4 +452,25 @@ class AppLocalizationsEn extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Deselect all';
@override
String get recentScans => 'Recent scans';
@override
String get seeAllScans => 'See all';
@override
String get productJobHistoryTitle => 'Scan history';
@override
String get jobTypeReceipt => 'Receipt';
@override
String get jobTypeProducts => 'Products';
@override
String get scanSubmitting => 'Submitting...';
@override
String get processingProducts => 'Processing...';
}

View File

@@ -454,4 +454,25 @@ class AppLocalizationsEs extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Deseleccionar todo';
@override
String get recentScans => 'Escaneos recientes';
@override
String get seeAllScans => 'Ver todos';
@override
String get productJobHistoryTitle => 'Historial de escaneos';
@override
String get jobTypeReceipt => 'Ticket';
@override
String get jobTypeProducts => 'Productos';
@override
String get scanSubmitting => 'Enviando...';
@override
String get processingProducts => 'Procesando...';
}

View File

@@ -455,4 +455,25 @@ class AppLocalizationsFr extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Tout désélectionner';
@override
String get recentScans => 'Scans récents';
@override
String get seeAllScans => 'Tout voir';
@override
String get productJobHistoryTitle => 'Historique des scans';
@override
String get jobTypeReceipt => 'Reçu';
@override
String get jobTypeProducts => 'Produits';
@override
String get scanSubmitting => 'Envoi...';
@override
String get processingProducts => 'Traitement...';
}

View File

@@ -453,4 +453,25 @@ class AppLocalizationsHi extends AppLocalizations {
@override
String get planProductsDeselectAll => 'सभी हटाएं';
@override
String get recentScans => 'हाल के स्कैन';
@override
String get seeAllScans => 'सभी देखें';
@override
String get productJobHistoryTitle => 'स्कैन इतिहास';
@override
String get jobTypeReceipt => 'रसीद';
@override
String get jobTypeProducts => 'उत्पाद';
@override
String get scanSubmitting => 'सबमिट हो रहा है...';
@override
String get processingProducts => 'प्रोसेस हो रहा है...';
}

View File

@@ -454,4 +454,25 @@ class AppLocalizationsIt extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Deseleziona tutto';
@override
String get recentScans => 'Scansioni recenti';
@override
String get seeAllScans => 'Vedi tutto';
@override
String get productJobHistoryTitle => 'Cronologia scansioni';
@override
String get jobTypeReceipt => 'Scontrino';
@override
String get jobTypeProducts => 'Prodotti';
@override
String get scanSubmitting => 'Invio...';
@override
String get processingProducts => 'Elaborazione...';
}

View File

@@ -449,4 +449,25 @@ class AppLocalizationsJa extends AppLocalizations {
@override
String get planProductsDeselectAll => 'すべて解除';
@override
String get recentScans => '最近のスキャン';
@override
String get seeAllScans => 'すべて表示';
@override
String get productJobHistoryTitle => 'スキャン履歴';
@override
String get jobTypeReceipt => 'レシート';
@override
String get jobTypeProducts => '商品';
@override
String get scanSubmitting => '送信中...';
@override
String get processingProducts => '処理中...';
}

View File

@@ -449,4 +449,25 @@ class AppLocalizationsKo extends AppLocalizations {
@override
String get planProductsDeselectAll => '모두 해제';
@override
String get recentScans => '최근 스캔';
@override
String get seeAllScans => '전체 보기';
@override
String get productJobHistoryTitle => '스캔 기록';
@override
String get jobTypeReceipt => '영수증';
@override
String get jobTypeProducts => '제품';
@override
String get scanSubmitting => '제출 중...';
@override
String get processingProducts => '처리 중...';
}

View File

@@ -454,4 +454,25 @@ class AppLocalizationsPt extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Desmarcar tudo';
@override
String get recentScans => 'Scans recentes';
@override
String get seeAllScans => 'Ver tudo';
@override
String get productJobHistoryTitle => 'Histórico de scans';
@override
String get jobTypeReceipt => 'Recibo';
@override
String get jobTypeProducts => 'Produtos';
@override
String get scanSubmitting => 'Enviando...';
@override
String get processingProducts => 'Processando...';
}

View File

@@ -452,4 +452,25 @@ class AppLocalizationsRu extends AppLocalizations {
@override
String get planProductsDeselectAll => 'Снять всё';
@override
String get recentScans => 'Последние сканирования';
@override
String get seeAllScans => 'Все';
@override
String get productJobHistoryTitle => 'История сканирования';
@override
String get jobTypeReceipt => 'Чек';
@override
String get jobTypeProducts => 'Продукты';
@override
String get scanSubmitting => 'Отправка...';
@override
String get processingProducts => 'Обработка...';
}

View File

@@ -448,4 +448,25 @@ class AppLocalizationsZh extends AppLocalizations {
@override
String get planProductsDeselectAll => '取消全选';
@override
String get recentScans => '最近扫描';
@override
String get seeAllScans => '全部';
@override
String get productJobHistoryTitle => '扫描历史';
@override
String get jobTypeReceipt => '收据';
@override
String get jobTypeProducts => '产品';
@override
String get scanSubmitting => '提交中...';
@override
String get processingProducts => '处理中...';
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Pular seleção de produtos",
"planProductsSkipNoProducts": "Planejar sem produtos",
"planProductsSelectAll": "Selecionar tudo",
"planProductsDeselectAll": "Desmarcar tudo"
"planProductsDeselectAll": "Desmarcar tudo",
"recentScans": "Scans recentes",
"seeAllScans": "Ver tudo",
"productJobHistoryTitle": "Histórico de scans",
"jobTypeReceipt": "Recibo",
"jobTypeProducts": "Produtos",
"scanSubmitting": "Enviando...",
"processingProducts": "Processando..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "Пропустить выбор продуктов",
"planProductsSkipNoProducts": "Планировать без продуктов",
"planProductsSelectAll": "Выбрать все",
"planProductsDeselectAll": "Снять всё"
"planProductsDeselectAll": "Снять всё",
"recentScans": "Последние сканирования",
"seeAllScans": "Все",
"productJobHistoryTitle": "История сканирования",
"jobTypeReceipt": "Чек",
"jobTypeProducts": "Продукты",
"scanSubmitting": "Отправка...",
"processingProducts": "Обработка..."
}

View File

@@ -165,5 +165,12 @@
"planProductsSkip": "跳过食材选择",
"planProductsSkipNoProducts": "不选食材直接规划",
"planProductsSelectAll": "全选",
"planProductsDeselectAll": "取消全选"
"planProductsDeselectAll": "取消全选",
"recentScans": "最近扫描",
"seeAllScans": "全部",
"productJobHistoryTitle": "扫描历史",
"jobTypeReceipt": "收据",
"jobTypeProducts": "产品",
"scanSubmitting": "提交中...",
"processingProducts": "处理中..."
}