Files
food-ai/backend/internal/recommendation/handler.go
dbastrikin c0cf1b38ea feat: implement backend localization infrastructure
- Add internal/locale package: Parse(Accept-Language), FromContext/WithLang helpers, 12 supported languages
- Add Language middleware that reads Accept-Language header and stores lang in context
- Register Language middleware globally in server router (after CORS)

Database migrations:
- 009: create recipe_translations, saved_recipe_translations, ingredient_translations tables; migrate existing _ru data
- 010: drop legacy _ru columns (title_ru, description_ru, canonical_name_ru); update FTS index

Models: remove all _ru fields (TitleRu, DescriptionRu, NameRu, UnitRu, CanonicalNameRu)

Repositories:
- recipe: Upsert drops _ru params; GetByID does LEFT JOIN COALESCE on recipe_translations; ListMissingTranslation(lang); UpsertTranslation
- ingredient: same pattern with ingredient_translations; Search now queries translated names/aliases
- savedrecipe: List/GetByID LEFT JOIN COALESCE on saved_recipe_translations; UpsertTranslation

Gemini:
- RecipeRequest/MenuRequest gain Lang field
- buildRecipePrompt rewritten in English with target-language content instruction; image_query always in English
- GenerateMenu propagates Lang to GenerateRecipes

Handlers:
- recommendation/menu: pass locale.FromContext(ctx) as Lang
- recognition: saveClassification stores Russian translation via UpsertTranslation instead of _ru column

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 23:17:34 +02:00

155 lines
4.2 KiB
Go

package recommendation
import (
"context"
"encoding/json"
"log/slog"
"net/http"
"strconv"
"sync"
"github.com/food-ai/backend/internal/gemini"
"github.com/food-ai/backend/internal/locale"
"github.com/food-ai/backend/internal/middleware"
"github.com/food-ai/backend/internal/user"
)
// PhotoSearcher can search for a photo by text query.
type PhotoSearcher interface {
SearchPhoto(ctx context.Context, query string) (string, error)
}
// UserLoader can load a user profile by ID.
type UserLoader interface {
GetByID(ctx context.Context, id string) (*user.User, error)
}
// ProductLister returns a human-readable list of user's products for the AI prompt.
type ProductLister interface {
ListForPrompt(ctx context.Context, userID string) ([]string, error)
}
// userPreferences is the shape of user.Preferences JSONB.
type userPreferences struct {
Cuisines []string `json:"cuisines"`
Restrictions []string `json:"restrictions"`
}
// Handler handles GET /recommendations.
type Handler struct {
gemini *gemini.Client
pexels PhotoSearcher
userLoader UserLoader
productLister ProductLister
}
// NewHandler creates a new Handler.
func NewHandler(geminiClient *gemini.Client, pexels PhotoSearcher, userLoader UserLoader, productLister ProductLister) *Handler {
return &Handler{
gemini: geminiClient,
pexels: pexels,
userLoader: userLoader,
productLister: productLister,
}
}
// GetRecommendations handles GET /recommendations?count=5.
func (h *Handler) GetRecommendations(w http.ResponseWriter, r *http.Request) {
userID := middleware.UserIDFromCtx(r.Context())
if userID == "" {
writeErrorJSON(w, http.StatusUnauthorized, "unauthorized")
return
}
count := 5
if s := r.URL.Query().Get("count"); s != "" {
if n, err := strconv.Atoi(s); err == nil && n > 0 && n <= 20 {
count = n
}
}
u, err := h.userLoader.GetByID(r.Context(), userID)
if err != nil {
slog.Error("load user for recommendations", "user_id", userID, "err", err)
writeErrorJSON(w, http.StatusInternalServerError, "failed to load user profile")
return
}
req := buildRecipeRequest(u, count, locale.FromContext(r.Context()))
// Attach available products to personalise the prompt.
if products, err := h.productLister.ListForPrompt(r.Context(), userID); err == nil {
req.AvailableProducts = products
} else {
slog.Warn("load products for recommendations", "user_id", userID, "err", err)
}
recipes, err := h.gemini.GenerateRecipes(r.Context(), req)
if err != nil {
slog.Error("generate recipes", "user_id", userID, "err", err)
writeErrorJSON(w, http.StatusServiceUnavailable, "recipe generation failed, please try again")
return
}
// Fetch Pexels photos in parallel — each goroutine owns a distinct index.
var wg sync.WaitGroup
for i := range recipes {
wg.Add(1)
go func(i int) {
defer wg.Done()
imageURL, err := h.pexels.SearchPhoto(r.Context(), recipes[i].ImageQuery)
if err != nil {
slog.Warn("pexels photo search failed", "query", recipes[i].ImageQuery, "err", err)
}
recipes[i].ImageURL = imageURL
}(i)
}
wg.Wait()
writeJSON(w, http.StatusOK, recipes)
}
func buildRecipeRequest(u *user.User, count int, lang string) gemini.RecipeRequest {
req := gemini.RecipeRequest{
Count: count,
DailyCalories: 2000, // sensible default
Lang: lang,
}
if u.Goal != nil {
req.UserGoal = *u.Goal
}
if u.DailyCalories != nil && *u.DailyCalories > 0 {
req.DailyCalories = *u.DailyCalories
}
if len(u.Preferences) > 0 {
var prefs userPreferences
if err := json.Unmarshal(u.Preferences, &prefs); err == nil {
req.CuisinePrefs = prefs.Cuisines
req.Restrictions = prefs.Restrictions
}
}
return req
}
type errorResponse struct {
Error string `json:"error"`
}
func writeErrorJSON(w http.ResponseWriter, status int, msg string) {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(status)
if err := json.NewEncoder(w).Encode(errorResponse{Error: msg}); err != nil {
slog.Error("write error response", "err", err)
}
}
func writeJSON(w http.ResponseWriter, status int, v any) {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(status)
if err := json.NewEncoder(w).Encode(v); err != nil {
slog.Error("write JSON response", "err", err)
}
}