feat: implement Iteration 1 — AI recipe recommendations
Backend:
- Add Groq LLM client (llama-3.3-70b) for recipe generation with JSON
retry strategy (retries only on parse errors, not API errors)
- Add Pexels client for parallel photo search per recipe
- Add saved_recipes table (migration 004) with JSONB fields
- Add GET /recommendations endpoint (profile-aware prompt building)
- Add POST/GET/GET{id}/DELETE /saved-recipes CRUD endpoints
- Wire gemini, pexels, recommendation, savedrecipe packages in main.go
Flutter:
- Add Recipe, SavedRecipe models with json_serializable
- Add RecipeService (getRecommendations, getSavedRecipes, save, delete)
- Add RecommendationsNotifier and SavedRecipesNotifier (Riverpod)
- Add RecommendationsScreen with skeleton loading and refresh FAB
- Add RecipeDetailScreen (SliverAppBar, nutrition tooltip, steps with timer)
- Add SavedRecipesScreen with Dismissible swipe-to-delete and empty state
- Update RecipesScreen to TabBar (Recommendations / Saved)
- Add /recipe-detail route outside ShellRoute (no bottom nav)
- Extend ApiClient with getList() and deleteVoid()
Project:
- Add CLAUDE.md with English-only rule for comments and commit messages
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -20,6 +20,10 @@ type Config struct {
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// CORS
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AllowedOrigins []string `envconfig:"ALLOWED_ORIGINS" default:"http://localhost:3000"`
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// External APIs
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GeminiAPIKey string `envconfig:"GEMINI_API_KEY" required:"true"`
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PexelsAPIKey string `envconfig:"PEXELS_API_KEY" required:"true"`
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}
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func Load() (*Config, error) {
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