39193ec13c
Async recognition pipeline:
- POST /ai/recognize-dish → 202 {job_id, queue_position, estimated_seconds}
- GET /ai/jobs/{id}/stream — SSE stream: queued → processing → done/failed
- Kafka topics: ai.recognize.paid (3 partitions) + ai.recognize.free (1 partition)
- 5-worker WorkerPool with priority loop (paid consumers first)
- SSEBroker via PostgreSQL LISTEN/NOTIFY
- Kafka adapter migrated from franz-go to Watermill (watermill-kafka/v2)
- Docker Compose: added Kafka + Zookeeper + kafka-init service
- Flutter: recognition_service.dart uses SSE; home_screen shows live job status
Remove google/wire (archived):
- Deleted wire.go (wireinject spec) and wire_gen.go
- Added cmd/server/init.go — plain Go manual DI, same initApp() logic
- Removed github.com/google/wire from go.mod
Consolidate migrations:
- Merged 001_initial_schema + 002_seed_data + 003_recognition_jobs into single 001_initial_schema.sql
- Deleted 002_seed_data.sql and 003_recognition_jobs.sql
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
38 lines
716 B
Go
38 lines
716 B
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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// Job status constants.
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const (
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JobStatusPending = "pending"
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JobStatusProcessing = "processing"
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JobStatusDone = "done"
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JobStatusFailed = "failed"
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)
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// Kafka topic names.
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const (
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TopicPaid = "ai.recognize.paid"
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TopicFree = "ai.recognize.free"
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)
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// Job represents an async dish recognition task stored in recognition_jobs.
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type Job struct {
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ID string
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UserID string
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UserPlan string
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ImageBase64 string
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MimeType string
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Lang string
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Status string
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Result *ai.DishResult
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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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