package recognition

import (
	"time"

	"github.com/food-ai/backend/internal/adapters/ai"
)

// Job status constants.
const (
	JobStatusPending    = "pending"
	JobStatusProcessing = "processing"
	JobStatusDone       = "done"
	JobStatusFailed     = "failed"
)

// Kafka topic names.
const (
	TopicPaid = "ai.recognize.paid"
	TopicFree = "ai.recognize.free"
)

// Job represents an async dish recognition task stored in dish_recognition_jobs.
type Job struct {
	ID             string
	UserID         string
	UserPlan       string
	ImageBase64    string
	MimeType       string
	Lang           string
	TargetDate     *string // nullable YYYY-MM-DD
	TargetMealType *string // nullable e.g. "lunch"
	Status         string
	Result         *ai.DishResult
	Error          *string
	CreatedAt      time.Time
	StartedAt      *time.Time
	CompletedAt    *time.Time
}

// JobSummary is a lightweight job record for list endpoints (omits ImageBase64).
type JobSummary struct {
	ID             string         `json:"id"`
	Status         string         `json:"status"`
	TargetDate     *string        `json:"target_date,omitempty"`
	TargetMealType *string        `json:"target_meal_type,omitempty"`
	Result         *ai.DishResult `json:"result,omitempty"`
	Error          *string        `json:"error,omitempty"`
	CreatedAt      time.Time      `json:"created_at"`
}