Backend:
- Prisma: add stripeSubscriptionId, subscriptionStatus, priceId,
currentPeriodEnd to User + migration SQL
- plugins/stripe.ts: getPlans catalog with env-based price IDs
- server.ts: raw body JSON parser for webhook signature verification,
skip rate limit on /stripe/webhook
- types/fastify.d.ts: declare rawBody on FastifyRequest
- routes/stripe.ts (new):
- GET /stripe/plans public
- GET /stripe/subscription user status
- POST /stripe/checkout hosted Checkout Session, lazy-creates
customer, dynamic payment methods, promo codes enabled
- POST /stripe/portal Billing Portal session
- POST /stripe/webhook signature verified, handles
checkout.session.completed, customer.subscription.*,
invoice.payment_failed. Resolves user by clientReferenceId,
metadata.userId, or stripeId fallback
- .env.example + README: Stripe setup, stripe CLI, test cards
Frontend:
- api/stripe.ts typed client (getPlans, getSubscription,
startCheckout, openPortal)
- pages/Pricing.tsx: 3-card grid (free/essentiel/premium) with
popular badge, current plan indicator, gradient popular card
- pages/CheckoutSuccess.tsx: animated confirmation with polling on
/stripe/subscription until webhook activates plan
- pages/Profile.tsx: SubscriptionCard above tabs — free users see an
upgrade banner, paid users see plan + status + next billing date
+ 'Gérer l'abonnement' button opening Customer Portal
- components/header.tsx: 'Tarifs' link in nav
- App.tsx: /pricing (public) and /checkout/success (protected) routes
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Image generation:
- Automatic model fallback: try gpt-image-1 first, fall back to
dall-e-3 if it fails (e.g. org not verified on OpenAI)
- Local filesystem fallback: if MinIO upload fails, write the image
to backend/uploads/recipes/ and return a URL served by fastify-static
- Unified handling of base64 vs URL responses from the Images API
- DALL-E quality mapped automatically (low/medium/high -> standard)
Local MinIO stack:
- docker-compose.yml at repo root with minio + minio-init service
that auto-creates the bucket and makes it publicly readable
- Default credentials: freedge / freedge123 (configurable)
- Console at :9001, API at :9000
- .env.example now points to the local stack by default
Static file serving:
- Register @fastify/static to serve ./uploads at /uploads/*
- Enables local fallback to return usable URLs to the frontend
- New PUBLIC_BASE_URL env var to build absolute URLs
TypeScript errors (21 -> 0):
- JWT typing via '@fastify/jwt' module augmentation (FastifyJWT
interface with payload + user) fixes all request.user.id errors
- Stripe constructor now passes required StripeConfig
- fastify.createCustomer guards checked on the helper itself for
proper TS narrowing (not on fastify.stripe)
- Remove 'done' arg from async onClose hook
- MinIO transport.agent + listFiles return type cast ignored
README:
- Add 'Stockage des fichiers' section explaining the two modes
- Updated setup instructions to start with docker compose up
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Overhaul of the backend AI module to produce better recipes, better
images, more reliably, and cheaper.
New src/ai/ module:
- prompts.ts: long 'Chef Antoine' system prompt (~1500 tokens) with
explicit originality rules, technical precision requirements, vocal
transcription handling, and 3 few-shot style examples. Long enough
to benefit from OpenAI's automatic prompt caching (-50% on cached
portion from the 2nd call onward).
- recipe-generator.ts: uses Structured Outputs (json_schema strict).
Rich schema: titre, description, origine_inspiration, ingredients
with quantity/notes/complement flag, numbered etapes with per-step
duration, conseils array, accord_boisson. No more JSON.parse crashes.
- image-generator.ts: switched from dall-e-3 to gpt-image-1 (medium
quality by default). Much better photographic realism. Dedicated
magazine-style prompt (editorial food photography, 45-deg overhead,
natural light, stoneware). Slugify preserves extended Latin chars
(cote-de-boeuf not c-te-de-b-uf).
- transcriber.ts: migrated from whisper-1 to gpt-4o-mini-transcribe
(50% cheaper, better on French). Includes a context prompt to bias
toward culinary vocabulary.
- cost.ts: centralized pricing table + helpers. Every OpenAI call now
emits a structured log with model, durationMs, costUsd, usage, and
cacheHit flag.
Plugin refactor:
- plugins/ai.ts now delegates to src/ai/* and only keeps the Fastify
decoration glue + storage fallback for audio.
- OpenAI client configured with maxRetries=3, timeout=60s.
- Image generation runs in parallel with the recipe flatten/serialize
step (minor speedup, ~0.5s).
- flattenRecipe() converts the rich structured recipe into the legacy
flat RecipeData shape (for Prisma columns) while preserving the
structured form in recipeData.structured.
Routes:
- recipes.ts stores the structured JSON in generatedRecipe (instead
of the aplatissement lossy), enabling future frontends to render
rich recipes with per-ingredient notes and step timers.
Env vars:
- OPENAI_TRANSCRIBE_MODEL, OPENAI_IMAGE_MODEL, OPENAI_IMAGE_QUALITY,
OPENAI_IMAGE_SIZE, OPENAI_MAX_RETRIES, OPENAI_TIMEOUT_MS
Cost per recipe (estimated):
- Before: ~$0.044 (whisper $0.003 + 4o-mini $0.0004 + dall-e-3 $0.04)
- After : ~$0.018 (4o-mini-transcribe $0.0015 + 4o-mini $0.0004
+ gpt-image-1 medium $0.0165), ~-59%.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
