- internal/gemini/ → internal/adapters/openai/ (renamed package to openai) - internal/pexels/ → internal/adapters/pexels/ - internal/config/ → internal/infra/config/ - internal/database/ → internal/infra/database/ - internal/locale/ → internal/infra/locale/ - internal/middleware/ → internal/infra/middleware/ - internal/server/ → internal/infra/server/ All import paths and call sites updated accordingly. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
207 lines
5.8 KiB
Go
207 lines
5.8 KiB
Go
package openai
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import (
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"context"
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"encoding/json"
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"fmt"
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"strings"
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"github.com/food-ai/backend/internal/infra/locale"
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)
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// RecipeGenerator generates recipes using the Gemini AI.
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type RecipeGenerator interface {
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GenerateRecipes(ctx context.Context, req RecipeRequest) ([]Recipe, error)
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}
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// RecipeRequest contains parameters for recipe generation.
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type RecipeRequest struct {
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UserGoal string // "lose" | "maintain" | "gain"
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DailyCalories int
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Restrictions []string // e.g. ["gluten_free", "vegetarian"]
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CuisinePrefs []string // e.g. ["russian", "asian"]
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Count int
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AvailableProducts []string // human-readable list of products in user's pantry
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Lang string // ISO 639-1 target language code, e.g. "en", "ru"
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}
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// Recipe is a recipe returned by Gemini.
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type Recipe struct {
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Title string `json:"title"`
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Description string `json:"description"`
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Cuisine string `json:"cuisine"`
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Difficulty string `json:"difficulty"`
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PrepTimeMin int `json:"prep_time_min"`
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CookTimeMin int `json:"cook_time_min"`
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Servings int `json:"servings"`
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ImageQuery string `json:"image_query"`
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ImageURL string `json:"image_url"`
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Ingredients []Ingredient `json:"ingredients"`
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Steps []Step `json:"steps"`
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Tags []string `json:"tags"`
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Nutrition NutritionInfo `json:"nutrition_per_serving"`
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}
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// Ingredient is a single ingredient in a recipe.
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type Ingredient struct {
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Name string `json:"name"`
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Amount float64 `json:"amount"`
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Unit string `json:"unit"`
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}
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// Step is a single preparation step.
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type Step struct {
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Number int `json:"number"`
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Description string `json:"description"`
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TimerSeconds *int `json:"timer_seconds"`
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}
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// NutritionInfo contains approximate nutritional information per serving.
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type NutritionInfo struct {
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Calories float64 `json:"calories"`
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ProteinG float64 `json:"protein_g"`
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FatG float64 `json:"fat_g"`
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CarbsG float64 `json:"carbs_g"`
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Approximate bool `json:"approximate"`
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}
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// goalNames maps internal goal codes to English descriptions used in the prompt.
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var goalNames = map[string]string{
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"lose": "weight loss",
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"maintain": "weight maintenance",
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"gain": "muscle gain",
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}
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// GenerateRecipes generates recipes using the Gemini AI.
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// Retries up to maxRetries times only when the response is not valid JSON.
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// API-level errors (rate limits, auth, etc.) are returned immediately.
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func (c *Client) GenerateRecipes(ctx context.Context, req RecipeRequest) ([]Recipe, error) {
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prompt := buildRecipePrompt(req)
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messages := []map[string]string{
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{"role": "user", "content": prompt},
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}
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var lastErr error
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for attempt := range maxRetries {
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if attempt > 0 {
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messages = []map[string]string{
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{"role": "user", "content": prompt},
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{"role": "user", "content": "Previous response was not valid JSON. Return ONLY a JSON array with no text before or after."},
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}
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}
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text, err := c.generateContent(ctx, messages)
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if err != nil {
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return nil, err
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}
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recipes, err := parseRecipesJSON(text)
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if err != nil {
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lastErr = fmt.Errorf("attempt %d parse JSON: %w", attempt+1, err)
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continue
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}
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for i := range recipes {
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recipes[i].Nutrition.Approximate = true
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}
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return recipes, nil
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}
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return nil, fmt.Errorf("failed to parse valid JSON after %d attempts: %w", maxRetries, lastErr)
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}
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func buildRecipePrompt(req RecipeRequest) string {
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lang := req.Lang
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if lang == "" {
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lang = "en"
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}
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langName := "English"
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for _, l := range locale.Languages {
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if l.Code == lang {
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langName = l.EnglishName
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break
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}
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}
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goal := goalNames[req.UserGoal]
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if goal == "" {
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goal = "weight maintenance"
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}
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restrictions := "none"
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if len(req.Restrictions) > 0 {
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restrictions = strings.Join(req.Restrictions, ", ")
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}
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cuisines := "any"
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if len(req.CuisinePrefs) > 0 {
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cuisines = strings.Join(req.CuisinePrefs, ", ")
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}
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count := req.Count
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if count <= 0 {
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count = 5
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}
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perMealCalories := req.DailyCalories / 3
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if perMealCalories <= 0 {
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perMealCalories = 600
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}
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productsSection := ""
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if len(req.AvailableProducts) > 0 {
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productsSection = "\nAvailable products (⚠ = expiring soon, prioritise these):\n" +
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strings.Join(req.AvailableProducts, "\n") + "\n"
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}
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return fmt.Sprintf(`You are a chef and nutritionist. Generate %d recipes in %s.
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User profile:
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- Goal: %s
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- Daily calories: %d kcal
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- Dietary restrictions: %s
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- Cuisine preferences: %s
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%s
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Requirements for each recipe:
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- Max %d kcal per serving
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- Total cooking time: max 60 minutes
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- Include approximate macros per serving
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IMPORTANT:
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- All text fields (title, description, ingredient names, units, step descriptions, tags) MUST be in %s.
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- The "image_query" field MUST always be in English (it is used for stock-photo search).
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Return ONLY a valid JSON array without markdown or extra text:
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[{
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"title": "...",
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"description": "2-3 sentences",
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"cuisine": "russian|asian|european|mediterranean|american|other",
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"difficulty": "easy|medium|hard",
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"prep_time_min": 10,
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"cook_time_min": 20,
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"servings": 2,
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"image_query": "short English photo-search query",
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"ingredients": [{"name": "...", "amount": 300, "unit": "..."}],
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"steps": [{"number": 1, "description": "...", "timer_seconds": null}],
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"tags": ["..."],
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"nutrition_per_serving": {"calories": 420, "protein_g": 48, "fat_g": 12, "carbs_g": 18}
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}]`, count, langName, goal, req.DailyCalories, restrictions, cuisines, productsSection, perMealCalories, langName)
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}
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func parseRecipesJSON(text string) ([]Recipe, error) {
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text = strings.TrimSpace(text)
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if strings.HasPrefix(text, "```") {
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text = strings.TrimPrefix(text, "```json")
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text = strings.TrimPrefix(text, "```")
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text = strings.TrimSuffix(text, "```")
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text = strings.TrimSpace(text)
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}
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var recipes []Recipe
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if err := json.Unmarshal([]byte(text), &recipes); err != nil {
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return nil, err
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}
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return recipes, nil
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}
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