batchCooking/docker-compose.yml
Nicolas 53d415fddb feat(tech-steps): fiabilise la detection des tech steps (corpus + LLM + corrections utilisateur)
Une seule feature livree en une seule PR, en 5 phases :

- Phase 1 : enrichit le corpus NLP (tech-step-training-data.ts) et ajoute
  un harness d'evaluation (precision/rappel/F1) avec un jeu de test etiquete
  - la premiere metrique objective de qualite pour ce classifieur.
- Phase 2 : schema Prisma (StepTechStepCorrection, TechStepTrainingSuggestion)
  + endpoints utilisateur (POST/GET corrections, ouverts a tout viewer, pas
  seulement l'auteur) + endpoints internes /internal/tech-steps/* proteges
  par secret partage (requireInternalWorker).
- Phase 3 : UI de highlight/correction cote web (selection de texte ->
  association a une technique, ou clic sur un highlight existant pour le
  corriger/supprimer) - verifiee via Cypress (component + e2e, en Chrome
  reel).
- Phase 4 : worker LLM autonome (services/tech-step-llm-worker, hors du
  monorepo pnpm comme experiments/llm-tech-step-poc) qui audite les clauses
  a faible confiance et transforme les corrections utilisateur en
  suggestions d'entrainement, sans jamais toucher le chemin interactif.
- Phase 5 : script retrain-tech-steps.ts (gate de regression F1 + backfill)
  et list-pending-training-suggestions.ts pour la revue humaine avant
  application au corpus.

Verification effectuee cette session : tsc/biome sur l'ensemble du repo,
build complet (pnpm build), suite Cypress complete (component 39/39, e2e
75/76 - le seul echec est preexistant et sans rapport, cote
recipe-form.feature/ingredient-picker), tests unitaires du worker (6/6) et
son install/typecheck reels contre node-llama-cpp. Les tests Mocha
d'apps/api (Phases 1 et 2) n'ont pas pu etre executes dans cette session
(pas de Postgres local disponible) - a lancer avant merge.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-22 09:48:02 +02:00

81 lines
3.5 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
depends_on:
postgres:
condition: service_healthy
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: ${INTERNAL_WORKER_SECRET:-}
ports:
- "${APP_PORT:-3000}:3000"
# 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: