batchCooking/docker-compose.yml
Nicolas 18abae7b6a feat(recipes): migre la detection des tech steps de node-nlp vers un microservice Python spaCy
Remplace TechStepClassifierService's node-nlp (NlpManager) par
services/tech-step-intent-service, un microservice FastAPI/spaCy dedie
(PhraseMatcher pour le NER par synonymes, textcat pour la classification
d'intention). Corpus (TECH_STEP_TRAINING_DATA) toujours possede par
apps/api, pousse au service via POST /v1/train a chaque warm-up ; le
service ne touche jamais Postgres (meme posture que
services/tech-step-llm-worker).

Cote apps/api :
- intent-service-client.ts : client HTTP vers le nouveau service
- tech-step-matcher.ts : delegue NER + intent classification au client,
  logique pure (splitIntoClauses, seuil/fallback) inchangee
- env.ts : INTENT_SERVICE_BASE_URL/INTENT_SERVICE_SECRET (secret requis,
  service coeur non optionnel)
- server.ts : warm-up avec retry/backoff (service Python demarre a part)
- scripts/calibrate-tech-step-threshold.ts : recalibration empirique de
  CONFIDENCE_THRESHOLD contre le jeu d'eval existant
- node-nlp retire (package.json, node-nlp.d.ts, model.nlp du .gitignore)

docker-compose.yml : nouveau service tech-step-intent-service (pas de
port expose, healthcheck, app en depend). CI : job intent-service-test
(pytest) + le job test demarre le service en arriere-plan avant la suite
Mocha (jamais de mock d'un service interne, cf specs/dev-conventions.md).

Verifie : 26/26 tests pytest du service (dont les offsets caracteres
exacts de tech-step-matcher.test.ts), lint + build complets du monorepo,
smoke test HTTP reel bout en bout. La suite Mocha et docker compose
build/up n'ont pas pu etre executes dans cet environnement (pas de
Postgres/Docker disponibles ici) — a confirmer via la CI et en local.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-25 20:11:30 +02:00

120 lines
5.2 KiB
YAML

services:
postgres:
image: postgres:16-alpine
restart: unless-stopped
environment:
# No defaults on purpose: POSTGRES_USER/PASSWORD/DB must be set in your
# local, git-ignored .env (see .env.example). Compose fails loudly if
# they're missing instead of falling back to a guessable credential.
POSTGRES_USER: ${POSTGRES_USER:?set POSTGRES_USER in .env}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?set POSTGRES_PASSWORD in .env}
POSTGRES_DB: ${POSTGRES_DB:?set POSTGRES_DB in .env}
ports:
- "${POSTGRES_PORT:-5432}:5432"
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U $$POSTGRES_USER"]
interval: 5s
timeout: 5s
retries: 5
# Single service serving both the API and the built frontend (see
# apps/api/Dockerfile) — no separate nginx/web container, no cross-origin
# CORS_ORIGIN to keep in sync between two ports.
app:
build:
context: .
dockerfile: apps/api/Dockerfile
restart: unless-stopped
environment:
NODE_ENV: production
PORT: 3000
# Uses the "postgres" service name, not localhost/POSTGRES_PORT —
# container-to-container traffic stays on the compose network and
# always targets Postgres's internal port (5432).
DATABASE_URL: "postgresql://${POSTGRES_USER:?set POSTGRES_USER in .env}:${POSTGRES_PASSWORD:?set POSTGRES_PASSWORD in .env}@postgres:5432/${POSTGRES_DB:?set POSTGRES_DB in .env}?schema=public"
JWT_SECRET: ${JWT_SECRET:?set JWT_SECRET in .env}
# Unset by default (falls back to NODE_ENV === "production", i.e.
# Secure cookie required) — set COOKIE_SECURE=false in .env only if
# this deployment is reachable over plain HTTP (no TLS in front of
# it yet), otherwise the session cookie never comes back and every
# authenticated request 401s despite login succeeding. See its doc
# comment in apps/api/src/config/env.ts.
COOKIE_SECURE: ${COOKIE_SECURE:-}
# Shared with the `tech-step-llm-worker` service below — see
# requireInternalWorker's doc comment
# (apps/api/src/middlewares/require-internal-worker.ts). Unset by
# default: `/internal/tech-steps/*` fails closed rather than open
# for a deployment that doesn't run the worker at all.
INTERNAL_WORKER_SECRET: ${INTERNAL_WORKER_SECRET:-}
# Compose network service name, not localhost — same reasoning as
# DATABASE_URL above. Unlike INTERNAL_WORKER_SECRET, no `:-` fallback:
# tech-step-intent-service is a core dependency (see its own entry
# below), not an optional background job.
INTENT_SERVICE_BASE_URL: "http://tech-step-intent-service:8000"
INTENT_SERVICE_SECRET: ${INTENT_SERVICE_SECRET:?set INTENT_SERVICE_SECRET in .env}
ports:
- "${APP_PORT:-3000}:3000"
depends_on:
postgres:
condition: service_healthy
tech-step-intent-service:
condition: service_healthy
# spaCy-based NER + intent classification microservice
# (services/tech-step-intent-service) — `app` delegates all tech-step
# detection to it over HTTP (see `IntentServiceClient`,
# apps/api/src/lib/recipe-matching/intent-service-client.ts). Unlike
# `tech-step-llm-worker` below, **not optional**: without it, `app` can no
# longer detect any cooking technique in a recipe step at all. No exposed
# port — reachable only from `app` on the compose network, nothing ever
# calls into it from outside.
tech-step-intent-service:
build:
context: .
dockerfile: services/tech-step-intent-service/Dockerfile
restart: unless-stopped
environment:
INTENT_SERVICE_SECRET: ${INTENT_SERVICE_SECRET:?set INTENT_SERVICE_SECRET in .env}
healthcheck:
# No curl/wget in the python:3.12-slim base image — a one-line Python
# request is the healthcheck for a service that's already guaranteed
# to have Python (see this service's Dockerfile).
test:
[
"CMD",
"python",
"-c",
"import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=2)",
]
interval: 10s
timeout: 3s
retries: 10
start_period: 15s
# Deliberately its own image, not built into `app`'s (see
# services/tech-step-llm-worker/Dockerfile's own doc comment) — a
# long-lived process with no exposed port (nothing ever calls *into* it,
# it only ever calls out to `app`). Optional: an `INTERNAL_WORKER_SECRET`-
# less deployment can omit this service entirely and `app` still runs
# fine, just without the offline audit/feedback-loop jobs.
tech-step-llm-worker:
build:
context: .
dockerfile: services/tech-step-llm-worker/Dockerfile
restart: unless-stopped
depends_on:
- app
environment:
API_BASE_URL: "http://app:3000"
INTERNAL_WORKER_SECRET: ${INTERNAL_WORKER_SECRET:?set INTERNAL_WORKER_SECRET in .env to run this service}
TECH_STEP_WORKER_CRON: ${TECH_STEP_WORKER_CRON:-0 3 * * 0}
volumes:
# GGUF weights persist across restarts — see this service's own
# Dockerfile doc comment on its VOLUME declaration.
- tech_step_llm_worker_models:/worker/models
volumes:
postgres_data:
tech_step_llm_worker_models: