Merge pull request #143 from ineszang/fix/deploiement-airflow-3

fix(infra,ci): aligne le provisionnement et le déploiement sur Airflow 3
chore(git): retire le motif airflow-webserver.pid du .gitignore
2026-09-22 11:44:16 +02:00 · 2026-09-22 11:42:25 +02:00 · 2026-09-22 11:17:02 +02:00 · 2026-09-22 09:13:03 +02:00 · 2026-09-22 09:05:53 +02:00 · 2026-09-22 09:05:50 +02:00
31 changed files with 923 additions and 1047 deletions
@@ -29,15 +29,18 @@ APP_MOCK_API_USERNAME=change_me
 APP_MOCK_API_PASSWORD=change_me
 APP_MOCK_API_TIMEOUT_SECONDS=10
-# Airflow (webserver + scheduler, LocalExecutor). Base de métadonnées dédiée `airflow` dans le
+# Airflow (api-server + scheduler + dag-processor, LocalExecutor). Base de métadonnées dédiée `airflow` dans le
 # même conteneur `db` (cf. db/init/120-airflow-database.sql), pas un conteneur de plus.
 AIRFLOW_PORT=8080
 # Chiffre les connexions/variables stockées par Airflow. Générer la vôtre :
 # python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
 AIRFLOW_FERNET_KEY=change_me
-# Clé Flask du webserver Airflow (signature de session), distincte de la précédente. Générer la
+# Clé de session de l'api-server Airflow, distincte de la précédente. Générer la
 # vôtre : python -c "import secrets; print(secrets.token_urlsafe(48))"
-AIRFLOW_WEBSERVER_SECRET_KEY=change_me
+AIRFLOW_API_SECRET_KEY=change_me
 # Secret des jetons JWT entre scheduler, tâches et api-server (conteneurs distincts, le secret
 # doit être partagé). Même générateur que ci-dessus.
 AIRFLOW_JWT_SECRET=change_me
 AIRFLOW_ADMIN_USERNAME=admin
 # Compte Airflow créé au premier démarrage (service `airflow-init`), sans rapport avec les
 # comptes `app_user` d'EnerVision.
@@ -67,7 +70,7 @@ PUBLIC_ORIGIN=
 PROXY_HTTP_PORT=
 PROXY_HTTPS_PORT=
 # Réglages mémoire de la stack déployée. Sans eux, timescaledb-tune réserve 25 % de la RAM de la
-# machine à chaque base au premier démarrage, et le webserver Airflow lance 4 workers gunicorn.
+# machine à chaque base au premier démarrage. L'api-server Airflow 3 n'a rien à régler ici : son
 # nombre de workers vaut 1 par défaut, contre 4 pour le webserver d'Airflow 2.
 TS_TUNE_MEMORY=2GB
 TS_TUNE_NUM_CPUS=2
 AIRFLOW_WEBSERVER_WORKERS=2
@@ -10,6 +10,15 @@ updates:
      frontend-dependencies:
        patterns:
          - "*"
    ignore:
      # Pourquoi : @angular/build épingle typescript (>=6.0 <6.1) et vitest (^4). Une majeure
      # de l'un ou l'autre casse `npm ci` tant qu'Angular ne suit pas.
      - dependency-name: "typescript"
        update-types: ["version-update:semver-major"]
      - dependency-name: "vitest"
        update-types: ["version-update:semver-major"]
      - dependency-name: "@vitest/coverage-v8"
        update-types: ["version-update:semver-major"]
  # Backend — uv (lit pyproject.toml / uv.lock)
  - package-ecosystem: "uv"
@@ -1,8 +1,9 @@
 name: Airflow
 # Piège : la version de Python vient de etl/airflow/.python-version. C'est 3.12 et non 3.14
-# (contrairement à backend.yml et ml.yml) : apache-airflow 2.10 ne supporte pas 3.14. Le 3.14 de
+# (contrairement à backend.yml et ml.yml) : celui de l'image apache/airflow retenue, et les tests
-# ml/ ne vit que dans l'image Docker, dans son propre environnement (cf. etl/airflow/Dockerfile).
+# doivent tourner sur le même interpréteur qu'elle. Le 3.14 de ml/ ne vit que dans l'image
 # Docker, dans son propre environnement (cf. etl/airflow/Dockerfile).
 #
 # Piège : l'image COPY les fichiers de dépendances et le code de ml/ et de apps/backend/. Une
 # modification de l'un ou de l'autre peut donc casser sa construction, d'où ces chemins dans
@@ -47,10 +48,10 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: etl/airflow/uv.lock
@@ -78,7 +79,7 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Construit l'image (contexte à la racine, elle COPY ml/ et apps/backend/)
        run: docker build -f etl/airflow/Dockerfile -t enervision-airflow:ci .
@@ -30,10 +30,10 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: apps/backend/uv.lock
@@ -90,10 +90,10 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: apps/backend/uv.lock
@@ -126,10 +126,10 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: apps/backend/uv.lock
@@ -150,12 +150,12 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      # Pourquoi : pas de cache ici. uvx n'installe pas le projet, le verrou n'alimente donc
      # aucune clé de cache ; la seule roue téléchargée est celle de Bandit.
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
      # Pourquoi : le périmètre est `app`, le code livré. Les tests emploient légitimement des
      # secrets factices et des `assert` que Bandit signalerait sans qu'aucun n'atteigne la prod.
@@ -52,6 +52,7 @@ jobs:
          done
          echo "L'API ne répond pas après 3 minutes" >&2
          cd "/srv/enervision/${ENVIRONNEMENT}"
-          docker compose ps
+          compose="docker compose -f docker-compose.yml -f docker-compose.prod.yml"
-          docker compose logs --tail=50 backend proxy
+          $compose ps
          $compose logs --tail=50 backend proxy
          exit 1
@@ -17,10 +17,10 @@ jobs:
  build:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
-      - uses: actions/setup-node@v6
+      - uses: actions/setup-node@v7
        with:
-          node-version: 24
+          node-version: 26
          cache: npm
          cache-dependency-path: apps/frontend/package-lock.json
@@ -33,10 +33,10 @@ jobs:
    name: Audit des dépendances
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
-      - uses: actions/setup-node@v6
+      - uses: actions/setup-node@v7
        with:
-          node-version: 24
+          node-version: 26
      # Seuil high : une vulnérabilité moderate de devDependency ne doit pas bloquer une livraison.
      - run: npm audit --audit-level=high --package-lock-only
        working-directory: apps/frontend
@@ -45,10 +45,10 @@ jobs:
    needs: build
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
-      - uses: actions/setup-node@v6
+      - uses: actions/setup-node@v7
        with:
-          node-version: 24
+          node-version: 26
          cache: npm
          cache-dependency-path: apps/frontend/package-lock.json
      - name : Installation des dépendances (Front)
@@ -58,7 +58,7 @@ jobs:
        run: npm test --watch=false --code-coverage --coverageReporters=lcov
        working-directory: apps/frontend
      - name: Upload coverage
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
        with:
          name: frontend-coverage
          path: apps/frontend/coverage/frontend/lcov.info
@@ -30,10 +30,10 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: ml/uv.lock
@@ -67,12 +67,12 @@ jobs:
    steps:
      - name: Récupère le dépôt
-        uses: actions/checkout@v4
+        uses: actions/checkout@v7
      # Pourquoi : pas de cache ici. uvx n'installe pas le projet, le verrou n'alimente donc
      # aucune clé de cache ; la seule roue téléchargée est celle de Bandit.
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
      - name: Analyse le code livré (bloquant à partir de MEDIUM)
        run: uvx bandit==1.9.4 --recursive enervision_ml --severity-level medium --confidence-level medium
@@ -24,10 +24,10 @@ jobs:
  build-front:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
-      - uses: actions/setup-node@v6
+      - uses: actions/setup-node@v7
        with:
-          node-version: 24
+          node-version: 26
          cache: npm
          cache-dependency-path: apps/frontend/package-lock.json
@@ -40,10 +40,10 @@ jobs:
    needs: build-front
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
-      - uses: actions/setup-node@v6
+      - uses: actions/setup-node@v7
        with:
-          node-version: 24
+          node-version: 26
          cache: npm
          cache-dependency-path: apps/frontend/package-lock.json
@@ -56,7 +56,7 @@ jobs:
        working-directory: apps/frontend
      - name: Upload coverage
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
        with:
          name: frontend-coverage
          path: apps/frontend/coverage/frontend/lcov.info
@@ -64,9 +64,9 @@ jobs:
  build-back:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: apps/backend/uv.lock
@@ -95,9 +95,9 @@ jobs:
    needs: build-back
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: apps/backend/uv.lock
@@ -107,7 +107,7 @@ jobs:
        working-directory: apps/backend
      - name: Upload coverage
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
        with:
          name: backend-coverage
          path: apps/backend/coverage.xml
@@ -115,9 +115,9 @@ jobs:
  test-ml:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
      - name: Installe uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: ml/uv.lock
@@ -135,7 +135,7 @@ jobs:
        working-directory: ml
      - name: Upload coverage
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
        with:
          name: ml-coverage
          path: ml/coverage.xml
@@ -143,23 +143,26 @@ jobs:
  sonarqube:
    needs: [build-front, build-back, test-front, test-back, test-ml]
    name: SonarQube
    # Pourquoi : GitHub ne fournit pas les secrets aux workflows lancés par dependabot[bot].
    # Sans SONAR_TOKEN le scan échoue sans rien analyser ; build et tests restent joués.
    if: github.actor != 'dependabot[bot]'
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v7
        with:
          fetch-depth: 0
      - name: Téléchargement du rapport de couverture (Front)
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v8
        with:
          name: frontend-coverage
          path: apps/frontend/coverage/frontend
      - name: Téléchargement du rapport de couverture (Back)
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v8
        with:
          name: backend-coverage
          path: apps/backend
      - name: Téléchargement du rapport de couverture (ML)
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v8
        with:
          name: ml-coverage
          path: ml
@@ -40,7 +40,6 @@ kubeconfig
 # Airflow
 etl/airflow/logs/
 airflow.db
 airflow-webserver.pid
 standalone_admin_password.txt
 # Environnement et secrets
@@ -67,7 +67,7 @@ services-up: ## Démarre les services conteneurisés dont `make dev` dépend (ba
 	docker compose up -d db mailpit
 	@$(MAKE) --no-print-directory db-wait
 	@$(MAKE) --no-print-directory db-ensure-airflow
-	docker compose up -d airflow-init airflow-webserver airflow-scheduler
+	docker compose up -d airflow-init airflow-apiserver airflow-scheduler airflow-dag-processor
 dev-backend: ## Lance l'API seule en rechargement à chaud
 	@echo "backend  -> http://localhost:8000 (docs sur /docs)"
@@ -132,12 +132,12 @@ airflow-test: ## Verifie que les DAGs s'importent sans erreur et ont la structur
 airflow-check: airflow-lint airflow-test ## Chaîne de vérification complète des DAGs Airflow
-airflow-up: db-ensure-airflow ## Démarre Airflow (webserver + scheduler, LocalExecutor). db-up requis avant.
+airflow-up: db-ensure-airflow ## Démarre Airflow (api-server + scheduler + dag-processor, LocalExecutor). db-up requis avant.
-	docker compose up -d airflow-init airflow-webserver airflow-scheduler
+	docker compose up -d airflow-init airflow-apiserver airflow-scheduler airflow-dag-processor
 	@echo "airflow  -> http://localhost:$${AIRFLOW_PORT:-8080}"
-airflow-down: ## Arrête le webserver et le scheduler Airflow
+airflow-down: ## Arrête l'api-server, le scheduler et le dag-processor Airflow
-	docker compose stop airflow-webserver airflow-scheduler
+	docker compose stop airflow-apiserver airflow-scheduler airflow-dag-processor
 airflow-logs: ## Suit les journaux du scheduler Airflow (où tournent les tâches, LocalExecutor)
 	docker compose logs -f airflow-scheduler
@@ -9,8 +9,10 @@ series temporelles energetiques, deployee sur une machine on-premise.
 |-------|----------------------------------------------------------|
 | J1    | Valider la préparation de l'environnement et du repo     |
 | J2    | Valider le périmètre retenu et les choix technologiques  |
-| J3    | Valider l'architecture et la gestion de la sécurité      |
+| J3    | Ingestion & backend                                      |
-| J4    | Valider la robustesse et assurer les livrables           |
+| J4    | Architecture, sécurité & frontend                        |
 | J5    | Valider la robustesse et assurer les livrables           |
 | J6    | Amélioration possible                                    |
 Ce que la documentation apporte à chacun : [docs/architecture/00-vue-ensemble.md](docs/architecture/00-vue-ensemble.md).
@@ -18,15 +20,15 @@ Ce que la documentation apporte à chacun : [docs/architecture/00-vue-ensemble.m
 | Domaine    | Technologie                         | Emplacement         | Etat          |
 |------------|-------------------------------------|---------------------|---------------|
-| Backend    | FastAPI, Python 3.14                | `apps/backend`      | Initialise    |
+| Backend    | FastAPI, Python 3.14                | `apps/backend`      | En place    |
-| Frontend   | Angular 22, Node 24 LTS             | `apps/frontend`     | Tableau de bord |
+| Frontend   | Angular 22, Node 26                 | `apps/frontend`     | En place |
-| Base       | PostgreSQL 17 + TimescaleDB         | `db`                | Initialise    |
+| Base       | PostgreSQL 17 + TimescaleDB         | `db`                | En place    |
 | ETL        | Apache Airflow                      | `etl/airflow`       | Quatre DAGs   |
 | Infra      | Terraform (k3s single-node)         | `infra/terraform`   | Initialise    |
 | Reverse proxy | Nginx, TLS                       | `infra/proxy`       | En place      |
-| CI/CD      | GitHub Actions                      | `.github/workflows` | Backend en place |
+| CI/CD      | GitHub Actions                      | `.github/workflows` | En place |
 | Monitoring | Prometheus, Grafana, Alertmanager   | `monitoring`        | A initialiser |
-| ML         | LightGBM, MLflow                    | `ml`                | Entrainement initialise |
+| ML         | LightGBM, MLflow                    | `ml`                | En place |
 Le backend, la base et l'infrastructure (Terraform/k3s) sont initialises a ce stade. Le frontend
 sert un tableau de bord sur `/dashboard`, dont les données proviennent de fixtures : les endpoints
@@ -92,8 +94,9 @@ et frontend en rechargement a chaud sur le poste.
 | Mailpit | <http://localhost:8025> |
 Le `.env` doit porter les cles Airflow avant le premier `make dev` : `AIRFLOW_FERNET_KEY`,
-`AIRFLOW_WEBSERVER_SECRET_KEY`, `AIRFLOW_APP_SECRET_KEY` et `AIRFLOW_ADMIN_PASSWORD`. Sans elles
+`AIRFLOW_API_SECRET_KEY`, `AIRFLOW_JWT_SECRET`, `AIRFLOW_APP_SECRET_KEY` et
-`airflow-init` refuse de demarrer, et `airflow-webserver` comme `airflow-scheduler` avec lui.
+`AIRFLOW_ADMIN_PASSWORD`. Sans elles `airflow-init` refuse de demarrer, et `airflow-apiserver`,
 `airflow-scheduler` et `airflow-dag-processor` avec lui.
 Les cibles d'origine restent disponibles pour ne demarrer qu'une partie : `make db-up`,
 `make airflow-up`, `make dev-backend`, `make dev-frontend`.
@@ -655,31 +655,31 @@ wheels = [
 [[package]]
 name = "pandas"
-version = "3.0.5"
+version = "3.0.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "numpy" },
    { name = "python-dateutil" },
    { name = "tzdata", marker = "sys_platform == 'emscripten' or sys_platform == 'win32'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/e2/17/d7b106e05bfa642e8694451e7d3d759c6a241c5386a5d962e4f66c047e06/pandas-3.0.6.tar.gz", hash = "sha256:66b07ef7315a31bfe1089cd3d71a7de781c9dca986762d0b4fe7c0ef17465d10", size = 4667686, upload-time = "2026-09-17T23:23:18.345Z" }
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@@ -3,7 +3,7 @@
 # ==================
 # Image pour frontend
-FROM node:24-alpine3.22 AS builder
+FROM node:26-alpine3.22 AS builder
 WORKDIR /app
@@ -23,7 +23,7 @@ RUN npm run build
 # ==================
-FROM nginx:1.28-alpine AS runner
+FROM nginx:1.31-alpine AS runner
 # Copie de la configuration de nginx
 COPY --chown=root:root --chmod=755 nginx.conf /etc/nginx/nginx.conf
@@ -8,12 +8,12 @@
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      "version": "0.0.0",
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-        "@angular/common": "^22.1.0",
+        "@angular/common": "^22.1.7",
-        "@angular/compiler": "^22.1.0",
+        "@angular/compiler": "^22.1.7",
-        "@angular/core": "^22.1.0",
+        "@angular/core": "^22.1.7",
-        "@angular/forms": "^22.1.0",
+        "@angular/forms": "^22.1.7",
-        "@angular/platform-browser": "^22.1.0",
+        "@angular/platform-browser": "^22.1.7",
-        "@angular/router": "^22.1.0",
+        "@angular/router": "^22.1.7",
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        "@angular/cli": "^22.1.8",
-        "@angular/compiler-cli": "^22.1.0",
+        "@angular/compiler-cli": "^22.1.7",
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-        "jsdom": "^28.0.0",
+        "jsdom": "^30.1.0",
-        "prettier": "^3.8.1",
+        "prettier": "^3.9.8",
        "typescript": "~6.0.2",
-        "vitest": "^4.0.8"
+        "vitest": "^4.1.11"
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@@ -255,9 +248,9 @@
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+      "version": "22.1.7",
-      "resolved": "https://registry.npmjs.org/@angular/common/-/common-22.1.6.tgz",
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-        "@angular/core": "22.1.6",
+        "@angular/core": "22.1.7",
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-      "version": "22.1.6",
+      "version": "22.1.7",
-      "resolved": "https://registry.npmjs.org/@angular/compiler/-/compiler-22.1.6.tgz",
+      "resolved": "https://registry.npmjs.org/@angular/compiler/-/compiler-22.1.7.tgz",
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@@ -283,9 +276,9 @@
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+        "@angular/compiler": "22.1.7",
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@@ -316,9 +309,9 @@
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+      "version": "22.1.7",
-      "resolved": "https://registry.npmjs.org/@angular/core/-/core-22.1.6.tgz",
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+        "@angular/compiler": "22.1.7",
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@@ -341,9 +334,9 @@
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+      "version": "22.1.7",
-      "resolved": "https://registry.npmjs.org/@angular/forms/-/forms-22.1.6.tgz",
+      "resolved": "https://registry.npmjs.org/@angular/forms/-/forms-22.1.7.tgz",
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+        "@angular/common": "22.1.7",
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+        "@angular/core": "22.1.7",
-        "@angular/platform-browser": "22.1.6",
+        "@angular/platform-browser": "22.1.7",
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-      "version": "22.1.6",
+      "version": "22.1.7",
-      "resolved": "https://registry.npmjs.org/@angular/platform-browser/-/platform-browser-22.1.6.tgz",
+      "resolved": "https://registry.npmjs.org/@angular/platform-browser/-/platform-browser-22.1.7.tgz",
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+        "@angular/animations": "22.1.7",
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      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-8.0.0.tgz",
@@ -854,9 +832,9 @@
      }
    },
    "node_modules/@csstools/css-syntax-patches-for-csstree": {
-      "version": "1.1.13",
+      "version": "1.1.14",
-      "resolved": "https://registry.npmjs.org/@csstools/css-syntax-patches-for-csstree/-/css-syntax-patches-for-csstree-1.1.13.tgz",
+      "resolved": "https://registry.npmjs.org/@csstools/css-syntax-patches-for-csstree/-/css-syntax-patches-for-csstree-1.1.14.tgz",
-      "integrity": "sha512-i9ZylF5QNhmNfPA9l0vHAWK4kPrbIp6g9lKgaiIFsIBz2F/WNB7OLrzlNNcCOm+h42bkaSD2v1PG+IBPHhc3ZA==",
+      "integrity": "sha512-HpbVXyrofRXpHpgkNIjU/3EWR4WJvOkO3emNK/L6X/mTJU7bGUI3AkkpoTNXznQLp0KRjLHELTGeKI5dIkI9JQ==",
      "dev": true,
      "funding": [
        {
@@ -879,9 +857,9 @@
      }
    },
    "node_modules/@csstools/css-tokenizer": {
-      "version": "4.0.0",
+      "version": "4.0.1",
-      "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-4.0.0.tgz",
+      "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-4.0.1.tgz",
-      "integrity": "sha512-QxULHAm7cNu72w97JUNCBFODFaXpbDg+dP8b/oWFAZ2MTRppA3U00Y2L1HqaS4J6yBqxwa/Y3nMBaxVKbB/NsA==",
+      "integrity": "sha512-bPlN9S9O1A0euCpEWE4qnvB5YDuyYVsUTrxSgmAM1Is0j4tICHoVyOVAXfWMP/kS9ZrjvyIXWV2PmomiAXXqOw==",
      "dev": true,
      "funding": [
        {
@@ -4490,22 +4468,6 @@
        "url": "https://github.com/sponsors/fb55"
      }
    },
    "node_modules/cssstyle": {
      "version": "6.2.0",
      "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-6.2.0.tgz",
      "integrity": "sha512-Fm5NvhYathRnXNVndkUsCCuR63DCLVVwGOOwQw782coXFi5HhkXdu289l59HlXZBawsyNccXfWRYvLzcDCdDig==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "@asamuzakjp/css-color": "^5.0.1",
        "@csstools/css-syntax-patches-for-csstree": "^1.0.28",
        "css-tree": "^3.1.0",
        "lru-cache": "^11.2.6"
      },
      "engines": {
        "node": ">=20"
      }
    },
    "node_modules/data-urls": {
      "version": "7.0.0",
      "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-7.0.0.tgz",
@@ -5283,30 +5245,6 @@
        "url": "https://opencollective.com/express"
      }
    },
    "node_modules/http-proxy-agent": {
      "version": "7.0.2",
      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-7.0.2.tgz",
      "integrity": "sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "agent-base": "^7.1.0",
        "debug": "^4.3.4"
      },
      "engines": {
        "node": ">= 14"
      }
    },
    "node_modules/http-proxy-agent/node_modules/agent-base": {
      "version": "7.1.4",
      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
      "integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
      "dev": true,
      "license": "MIT",
      "engines": {
        "node": ">= 14"
      }
    },
    "node_modules/https-proxy-agent": {
      "version": "9.1.0",
      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-9.1.0.tgz",
@@ -5529,39 +5467,38 @@
      "license": "MIT"
    },
    "node_modules/jsdom": {
-      "version": "28.1.0",
+      "version": "30.1.0",
-      "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-28.1.0.tgz",
+      "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-30.1.0.tgz",
-      "integrity": "sha512-0+MoQNYyr2rBHqO1xilltfDjV9G7ymYGlAUazgcDLQaUf8JDHbuGwsxN6U9qWaElZ4w1B2r7yEGIL3GdeW3Rug==",
+      "integrity": "sha512-h/Q+H+KmlGf49ITw3TrykSVbg04S75S2O7ZtJc9gMGOWBrQRZmx5AJIKLtJ01e6Kszl+/tpFthCVqxNifxhoqg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@acemir/cssom": "^0.9.31",
+        "@asamuzakjp/css-color": "^7.0.0",
-        "@asamuzakjp/dom-selector": "^6.8.1",
+        "@asamuzakjp/dom-selector": "^9.1.2",
        "@bramus/specificity": "^2.4.2",
-        "@exodus/bytes": "^1.11.0",
+        "@csstools/css-syntax-patches-for-csstree": "^1.1.13",
-        "cssstyle": "^6.0.1",
+        "@exodus/bytes": "^1.15.1",
        "css-tree": "^3.2.1",
        "data-urls": "^7.0.0",
        "decimal.js": "^10.6.0",
        "html-encoding-sniffer": "^6.0.0",
        "http-proxy-agent": "^7.0.2",
        "https-proxy-agent": "^7.0.6",
        "is-potential-custom-element-name": "^1.0.1",
-        "parse5": "^8.0.0",
+        "lru-cache": "^11.5.2",
        "parse5": "^8.0.1",
        "saxes": "^6.0.0",
-        "symbol-tree": "^3.2.4",
+        "tough-cookie": "^6.0.2",
-        "tough-cookie": "^6.0.0",
+        "undici": "^8.10.2",
        "undici": "^7.21.0",
        "w3c-xmlserializer": "^5.0.0",
        "webidl-conversions": "^8.0.1",
        "whatwg-mimetype": "^5.0.0",
-        "whatwg-url": "^16.0.0",
+        "whatwg-url": "^17.1.1",
        "xml-name-validator": "^5.0.0"
      },
      "engines": {
-        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+        "node": "^22.22.2 || ^24.15.0 || >=26.0.0"
      },
      "peerDependencies": {
-        "canvas": "^3.0.0"
+        "canvas": "^3.2.3"
      },
      "peerDependenciesMeta": {
        "canvas": {
@@ -5569,28 +5506,19 @@
        }
      }
    },
-    "node_modules/jsdom/node_modules/agent-base": {
+    "node_modules/jsdom/node_modules/whatwg-url": {
-      "version": "7.1.4",
+      "version": "17.1.1",
-      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-17.1.1.tgz",
-      "integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
+      "integrity": "sha512-ohjk1mdUebJVadRt3bAhQhx8lSnISq+GDttK79LFl8EHQkAPvzwctoasC4hs8tBt6kLAncBWWyq1N52qEfKvDw==",
      "dev": true,
      "license": "MIT",
      "engines": {
        "node": ">= 14"
      }
    },
    "node_modules/jsdom/node_modules/https-proxy-agent": {
      "version": "7.0.6",
      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-7.0.6.tgz",
      "integrity": "sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "agent-base": "^7.1.2",
+        "@exodus/bytes": "^1.15.1",
-        "debug": "4"
+        "tr46": "^6.0.0",
        "webidl-conversions": "^8.0.1"
      },
      "engines": {
-        "node": ">= 14"
+        "node": "^22.14.0 || >=24.0.0"
      }
    },
    "node_modules/jsesc": {
@@ -6708,9 +6636,9 @@
      }
    },
    "node_modules/prettier": {
-      "version": "3.9.6",
+      "version": "3.9.8",
-      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.9.6.tgz",
+      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.9.8.tgz",
-      "integrity": "sha512-OpN0zzVdiaiAhxpuuj5efpIS4sY9j7bY6uR5mnj5yPzGkdkjNKSJeUThPb60Jw29QuAZgA4o+/iB49kFiaBX6g==",
+      "integrity": "sha512-WRFq3Wn3WId7LLROfMLdH7xaFr2jR62wU8nLO6rQUOLOxNZUviyJQs1M0iIhLexSFy+L+w0ch66wtoO2jRjG0A==",
      "dev": true,
      "license": "MIT",
      "bin": {
@@ -7308,13 +7236,6 @@
        "node": ">=8"
      }
    },
    "node_modules/symbol-tree": {
      "version": "3.2.4",
      "resolved": "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz",
      "integrity": "sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw==",
      "dev": true,
      "license": "MIT"
    },
    "node_modules/tinybench": {
      "version": "2.9.0",
      "resolved": "https://registry.npmjs.org/tinybench/-/tinybench-2.9.0.tgz",
@@ -7469,13 +7390,13 @@
      }
    },
    "node_modules/undici": {
-      "version": "7.29.1",
+      "version": "8.10.2",
-      "resolved": "https://registry.npmjs.org/undici/-/undici-7.29.1.tgz",
+      "resolved": "https://registry.npmjs.org/undici/-/undici-8.10.2.tgz",
-      "integrity": "sha512-RYONW2MeafgYlkVOKYKkA/Ag7BmXqgIWCa8t1m0JcxrQg9pI9lEqRhAOruOBCbAohOa/gkCF+iPi9hrgvTzu6Q==",
+      "integrity": "sha512-/y4/bH9YNU5hi9NIrpOuvGXFcxrj3CMrV+/AYpowAYTpHn8gX/XPFjNy766FPoYY0miQhdW977JFWKGNhBdwyQ==",
      "dev": true,
      "license": "MIT",
      "engines": {
-        "node": ">=20.18.1"
+        "node": ">=22.19.0"
      }
    },
    "node_modules/unpipe": {
@@ -12,12 +12,12 @@
  "private": true,
  "packageManager": "npm@11.19.0",
  "dependencies": {
-    "@angular/common": "^22.1.0",
+    "@angular/common": "^22.1.7",
-    "@angular/compiler": "^22.1.0",
+    "@angular/compiler": "^22.1.7",
-    "@angular/core": "^22.1.0",
+    "@angular/core": "^22.1.7",
-    "@angular/forms": "^22.1.0",
+    "@angular/forms": "^22.1.7",
-    "@angular/platform-browser": "^22.1.0",
+    "@angular/platform-browser": "^22.1.7",
-    "@angular/router": "^22.1.0",
+    "@angular/router": "^22.1.7",
    "chart.js": "^4.5.1",
    "rxjs": "~7.8.0",
    "tslib": "^2.3.0"
@@ -25,11 +25,11 @@
  "devDependencies": {
    "@angular/build": "^22.1.8",
    "@angular/cli": "^22.1.8",
-    "@angular/compiler-cli": "^22.1.0",
+    "@angular/compiler-cli": "^22.1.7",
    "@vitest/coverage-v8": "^4.1.11",
-    "jsdom": "^28.0.0",
+    "jsdom": "^30.1.0",
-    "prettier": "^3.8.1",
+    "prettier": "^3.9.8",
    "typescript": "~6.0.2",
-    "vitest": "^4.0.8"
+    "vitest": "^4.1.11"
  }
 }
@@ -1,4 +1,4 @@
-- Base de metadonnees Airflow (webserver + scheduler, LocalExecutor). Separee de la base
+-- Base de metadonnees Airflow (api-server + scheduler + dag-processor, LocalExecutor). Separee de la base
 -- applicative : les tables internes d'Airflow (dag_run, task_instance, ...) n'ont rien a faire
 -- dans le schema metier. Meme conteneur Postgres que `enervision`/`enervision_test` plutot qu'un
 -- service dedie, pour ne pas ajouter un conteneur de plus (issue #115).
@@ -22,11 +22,9 @@ services:
    ports: !override
      - "127.0.0.1:${MAILPIT_UI_PORT:-8025}:8025"
-  airflow-webserver:
+  airflow-apiserver:
    ports: !override
      - "127.0.0.1:${AIRFLOW_PORT:-8080}:8080"
    environment:
      AIRFLOW__WEBSERVER__WORKERS: ${AIRFLOW_WEBSERVER_WORKERS:-2}
  backend:
    ports: !reset null
@@ -51,7 +49,7 @@ services:
    ports: !reset null
  proxy:
-    image: nginx:1.28-alpine
+    image: nginx:1.31-alpine
    depends_on:
      backend:
        condition: service_healthy
@@ -5,9 +5,9 @@
 name: enervision
-# Piege : LocalExecutor fait tourner les taches comme sous-processus du scheduler, jamais du
+# Piege : LocalExecutor fait tourner les taches comme sous-processus du scheduler, jamais de
-# webserver. `airflow_ml_state` (modele entraine, magasin MLflow) n'a donc besoin d'etre monte
+# l'api-server. `airflow_ml_state` (modele entraine, magasin MLflow) n'a donc besoin d'etre monte
-# que sur `airflow-scheduler` en pratique, mais reste partage avec le webserver pour que ce
+# que sur `airflow-scheduler` en pratique, mais reste partage avec l'api-server pour que ce
 # dernier puisse au besoin l'inspecter sans en devenir dependant.
 x-airflow-common: &airflow-common
  build:
@@ -19,9 +19,16 @@ x-airflow-common: &airflow-common
    # Piege : pas de `:?` sur les secrets Airflow. Compose interpole le fichier entier avant de
    # filtrer les services : une variable requise manquante casserait aussi `make db-up`,
    # `make dev`... pour quiconque n'a pas encore complete son `.env`. Le refus est porte par
-    # `airflow-init` (ci-dessous), dont `webserver` et `scheduler` dependent.
+    # `airflow-init` (ci-dessous), dont `api-server`, `dag-processor` et `scheduler` dependent.
    AIRFLOW__CORE__FERNET_KEY: ${AIRFLOW_FERNET_KEY:-}
-    AIRFLOW__WEBSERVER__SECRET_KEY: ${AIRFLOW_WEBSERVER_SECRET_KEY:-}
+    AIRFLOW__API__SECRET_KEY: ${AIRFLOW_API_SECRET_KEY:-}
    # Signe les jetons entre scheduler, tâches et api-server. Conteneurs distincts : un secret
    # généré au démarrage ne serait pas partagé, il doit venir du .env.
    AIRFLOW__API_AUTH__JWT_SECRET: ${AIRFLOW_JWT_SECRET:-}
    AIRFLOW__CORE__EXECUTION_API_SERVER_URL: http://airflow-apiserver:8080/execution/
    # FabAuthManager plutôt que le SimpleAuthManager par défaut d'Airflow 3 : seul le provider
    # FAB sait créer le compte admin que `airflow-init` pose via `_AIRFLOW_WWW_USER_*`.
    AIRFLOW__CORE__AUTH_MANAGER: airflow.providers.fab.auth_manager.fab_auth_manager.FabAuthManager
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/airflow
    # Role `enervision_ml` dedie pas encore provisionne (dette assumee, cf. ADR 0003) :
    # memes identifiants que le backend en attendant.
@@ -111,11 +118,11 @@ services:
  # Conteneur unique, jamais redemarre. La migration et la creation du premier compte sont
  # portees par l'entrypoint de l'image (`_AIRFLOW_DB_MIGRATE`, `_AIRFLOW_WWW_USER_*`), qui porte
  # aussi leur code de sortie : une migration ratee (ex. base `airflow` absente sur un volume
-  # `pgdata` deja peuple) fait echouer ce service, et `webserver`/`scheduler`, qui attendent son
+  # `pgdata` deja peuple) fait echouer ce service, et api-server, dag-processor et scheduler,
-  # succes, ne demarrent pas sur une base non migree. Le mot de passe passe par l'environnement,
+  # qui attendent son succes, ne demarrent pas sur une base non migree. Le mot de passe passe
-  # jamais par `argv` (ni `ps`, ni `docker compose config`).
+  # par l'environnement, jamais par `argv` (ni `ps`, ni `docker compose config`).
  # Sans mot de passe, l'entrypoint refuse lui-meme de creer le compte ; la commande ci-dessous
-  # refuse en plus les deux cles de chiffrement vides.
+  # refuse en plus les cles et secrets vides.
  airflow-init:
    <<: *airflow-common
    restart: "no"
@@ -135,13 +142,14 @@ services:
      - |
        set -euo pipefail
        : "$${AIRFLOW__CORE__FERNET_KEY:?AIRFLOW_FERNET_KEY manquant dans .env}"
-        : "$${AIRFLOW__WEBSERVER__SECRET_KEY:?AIRFLOW_WEBSERVER_SECRET_KEY manquant dans .env}"
+        : "$${AIRFLOW__API__SECRET_KEY:?AIRFLOW_API_SECRET_KEY manquant dans .env}"
        : "$${AIRFLOW__API_AUTH__JWT_SECRET:?AIRFLOW_JWT_SECRET manquant dans .env}"
        : "$${APP_SECRET_KEY:?AIRFLOW_APP_SECRET_KEY manquant dans .env}"
        exec airflow version
-  airflow-webserver:
+  airflow-apiserver:
    <<: *airflow-common
-    command: webserver
+    command: api-server
    ports:
      - "${AIRFLOW_PORT:-8080}:8080"
    depends_on:
@@ -150,7 +158,7 @@ services:
      airflow-init:
        condition: service_completed_successfully
    healthcheck:
-      test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
+      test: ["CMD", "curl", "--fail", "http://localhost:8080/api/v2/monitor/health"]
      interval: 30s
      timeout: 10s
      retries: 5
@@ -165,6 +173,16 @@ services:
      airflow-init:
        condition: service_completed_successfully
  # Obligatoire depuis Airflow 3 : le scheduler ne parse plus les fichiers de dags/ lui-même.
  airflow-dag-processor:
    <<: *airflow-common
    command: dag-processor
    depends_on:
      db:
        condition: service_healthy
      airflow-init:
        condition: service_completed_successfully
 volumes:
  pgdata:
  airflow_logs:
@@ -63,8 +63,9 @@ secret.
 - Deux TimescaleDB sur une machine de 8 Go : sans réglage, chacune se réserverait 25 % de la
  RAM au premier démarrage. L'overlay fixe `TS_TUNE_MEMORY` à 2 Go et `TS_TUNE_NUM_CPUS` à 2 par
-  base, et 2 workers gunicorn par webserver Airflow. La montée à 32 Go prévue par les
+  base. Airflow 3 n'a rien à régler de ce côté : son api-server lance un seul worker par défaut,
-  consignes est à demander.
+  là où le webserver d'Airflow 2 en lançait quatre. La montée à 32 Go prévue par les consignes
  est à demander.
 - Un runner auto-hébergé sur un dépôt public exécute le code qu'on lui envoie. `deploy.yml` ne
  se déclenche jamais sur `pull_request`, le runner tourne sous un utilisateur dédié, et le
  dépôt doit exiger une approbation pour les workflows des PR externes.
@@ -49,20 +49,28 @@ Trois pièges sont documentés en tête du `docker-compose.yml`, ils ne se devin
 - `db/init` est monté **fichier par fichier**. Monter le dossier masquerait les scripts d'init de
  l'image, dont `timescaledb-tune`. Ajouter un fichier dans `db/init/` impose donc une ligne dans
  le compose. Voir [`db/README.md`](../../db/README.md).
- `LocalExecutor` exécute les tâches comme sous-processus du **scheduler**, jamais du webserver :
+- `LocalExecutor` exécute les tâches comme sous-processus du **scheduler**, jamais de l'api-server :
  c'est le scheduler qui a besoin du volume `airflow_ml_state` (modèle, magasin MLflow).
 ### Airflow (issues #115, #116 et #119)
-Trois services, `docker compose profiles` non utilisés (démarrage explicite via `make
+Quatre services (Airflow 3.3), `docker compose profiles` non utilisés (démarrage explicite via `make
 airflow-up`, pas dans `make dev`) :
 | Service | Rôle | Points notables |
 |---|---|---|
-| `airflow-init` | Migre la base de métadonnées, crée le compte admin | Conteneur jetable (`restart: "no"`), ne redémarre jamais. `webserver`/`scheduler` attendent qu'il se termine avec succès |
+| `airflow-init` | Migre la base de métadonnées, crée le compte admin | Conteneur jetable (`restart: "no"`), ne redémarre jamais. `api-server`, `dag-processor` et `scheduler` attendent qu'il se termine avec succès |
-| `airflow-webserver` | UI, port `8080` | `LocalExecutor` : n'exécute aucune tâche lui-même |
+| `airflow-apiserver` | UI et API REST (`/api/v2`), port `8080` | `LocalExecutor` : n'exécute aucune tâche lui-même. Sert aussi l'Execution API que les tâches appellent, d'où le secret JWT partagé |
 | `airflow-dag-processor` | Parse `dags/` et publie les DAGs sérialisés | Composant à part entière depuis Airflow 3 : le scheduler ne lit plus les fichiers de DAG |
 | `airflow-scheduler` | Planifie et **exécute** les tâches (`LocalExecutor`) | Les DAGs y tournent en sous-processus (`uv run --no-sync python -m ...`), c'est lui qui a besoin du volume `airflow_ml_state` |
 Airflow 3 impose deux choses que le compose reflète : les tâches ne touchent plus la base de
 métadonnées et passent par l'Execution API de l'`api-server`, avec un jeton signé par
 `AIRFLOW_JWT_SECRET` (secret partagé entre conteneurs, jamais celui généré au démarrage) ; et
 l'authentification par défaut (`SimpleAuthManager`) ne sait pas créer de compte, d'où le
 `FabAuthManager` qui garde le compte admin posé par `airflow-init`. Pas de `triggerer` : aucun
 opérateur déférable dans les DAGs.
 Construits depuis `etl/airflow/Dockerfile`, contexte `.` (racine du repo, pas `etl/airflow/`) :
 l'image doit pouvoir `COPY` les sources de `ml/` **et** de `apps/backend/` pour se synchroniser
 deux environnements Python **3.14** (`/opt/ml/.venv` et `/opt/backend/.venv`, `uv sync --locked` à
@@ -102,14 +110,14 @@ rend contraignant.
 `airflow-init` s'appuie sur l'entrypoint de l'image (`_AIRFLOW_DB_MIGRATE`,
 `_AIRFLOW_WWW_USER_*`) plutôt que sur un script maison : l'entrypoint porte le code de sortie, une
 migration ratée (typiquement la base `airflow` absente, cf. ci-dessous) fait échouer le service et
-`webserver`/`scheduler` ne démarrent pas sur une base non migrée. Le mot de passe du compte admin
+`api-server`, `dag-processor` et `scheduler` ne démarrent pas sur une base non migrée. Le mot de passe du compte admin
 passe par l'environnement, jamais par `argv` (ni `ps`, ni `docker compose config`).
 Les variables `AIRFLOW_*` ne sont volontairement pas en `${VAR:?}` : Compose interpole le fichier
 entier avant de filtrer les services, une variable requise manquante casserait `make db-up`,
 `make dev`... pour tout poste dont le `.env` est antérieur. Elles valent `${VAR:-}` et c'est
-`airflow-init` qui refuse de démarrer (clé Fernet, clé Flask, mot de passe ou
+`airflow-init` qui refuse de démarrer (clé Fernet, clé de session de l'API, secret JWT, mot de
-`AIRFLOW_APP_SECRET_KEY` vides).
+passe ou `AIRFLOW_APP_SECRET_KEY` vides).
 Le conteneur reçoit deux variables du backend en plus de `ML_DATABASE_URL` : `DATABASE_URL`, en
 dialecte asyncpg, et `APP_SECRET_KEY`, alimentée par `AIRFLOW_APP_SECRET_KEY`. Cette dernière est
@@ -277,7 +285,7 @@ Ces arbitrages sont pris. Ils ne vivaient jusqu'ici que dans des commentaires de
 | Base applicative | `enervision` | Variable `POSTGRES_DB` |
 | Base de test | `enervision_test` | Créée par `db/init/110-test-database.sql`, nom attendu en dur par `apps/backend/tests/conftest.py` |
 | Base de métadonnées Airflow | `airflow` | Créée par `db/init/120-airflow-database.sql`, même conteneur `db` |
-| Webserver Airflow | `8080` | `make airflow-up`. Scheduler et webserver ne publient que ce port ; les tâches (`LocalExecutor`) tournent côté scheduler, sans port propre |
+| API server Airflow | `8080` | `make airflow-up`. Api-server, scheduler et dag-processor ne publient que ce port ; les tâches (`LocalExecutor`) tournent côté scheduler, sans port propre |
 ## Le trou vers k3s
@@ -90,9 +90,10 @@ rien changer), mais ce serait à borner sur un dépôt à forte fréquence de pu
 `backend.yml`, `ml.yml` et `airflow.yml` déclarent en plus un groupe de concurrence par référence
 git avec `cancel-in-progress`, ce qui annule un run devenu obsolète par un push plus récent.
-**Piège de version** : `etl/airflow` tourne en **Python 3.12** et non 3.14, parce qu'Airflow 2.10
+**Piège de version** : `etl/airflow` tourne en **Python 3.12** et non 3.14 : c'est l'interpréteur
-ne supporte pas encore 3.14. Le 3.14 du module ML ne vit, dans ce contexte, que dans l'image
+de l'image `apache/airflow:3.3.2-python3.12` retenue, et les tests d'intégrité doivent tourner sur
-Docker et son propre environnement.
+le même. Le 3.14 du module ML ne vit, dans ce contexte, que dans l'image Docker et son propre
 environnement.
 ## Déploiement
@@ -1,9 +1,9 @@
 # Image Airflow EnerVision : ajoute ml/ et apps/backend/ dans leurs propres environnements Python
-# 3.14, distincts du Python 3.12 qui fait tourner Airflow lui-meme (apache-airflow 2.10 ne supporte
+# 3.14, distincts du Python 3.12 de l'image de base qui fait tourner Airflow lui-meme, pour que
-# pas 3.14), pour que les DAGs puissent lancer `uv run python -m enervision_ml.train`/`.score`,
+# les DAGs puissent lancer `uv run python -m enervision_ml.train`/`.score`,
 # `app.detection.internal_alerts` et `app.cli` en sous-processus. Airflow ne devient jamais un
 # consommateur direct de LightGBM, de MLflow ou du SQLAlchemy du backend. Cf. ADR 0008.
-FROM apache/airflow:2.10.4-python3.12
+FROM apache/airflow:3.3.2-python3.12
 # LightGBM est compile contre libgomp (OpenMP), absent de l'image de base (minimale, sans
 # toolchain de compilation). Sans lui : `OSError: libgomp.so.1: cannot open shared object file`
@@ -21,9 +21,8 @@ RUN apt-get update \
 RUN mkdir -p /opt/ml/state /opt/backend && chown -R airflow:root /opt/ml /opt/backend
 USER airflow
-# L'image de base embarque deja un `uv`, mais trop ancien (0.4.29) pour le format de verrou de
+# L'image de base embarque deja un `uv`, mais pas celui que le depot epingle par ailleurs
-# `ml/uv.lock`. On le remplace par la version deja pinnee ailleurs dans le depot
+# (apps/backend/Dockerfile) : on aligne, pour que le format de verrou lu soit le meme partout.
 # (apps/backend/Dockerfile).
 COPY --from=ghcr.io/astral-sh/uv:0.11.26 /uv /home/airflow/.local/bin/uv
 # Piege : pas de `UV_PROJECT_ENVIRONMENT` global. Il vaudrait pour les deux projets, et `uv run`
@@ -15,8 +15,8 @@ from __future__ import annotations
 from datetime import datetime, timedelta
-from airflow.models.dag import DAG
+from airflow.providers.standard.operators.bash import BashOperator
-from airflow.operators.bash import BashOperator
+from airflow.sdk import DAG
 # Le backend a son propre environnement uv dans l'image (ADR 0008). `--no-sync` et
 # `env -u VIRTUAL_ENV` : cf. `ml_train.py`, même raisonnement.
@@ -1,45 +1,45 @@
-"""DAG d'import du dataset historique EnerVision (issue #119).
+"""DAG d'import du dataset historique EnerVision (issue #119).
-
+
-Orchestre le pipeline existant `app.etl.historical_import` sans dupliquer sa logique ETL.
+Orchestre le pipeline existant `app.etl.historical_import` sans dupliquer sa logique ETL.
-Le dataset historique sert à initialiser l'environnement : le DAG reste donc manuel.
+Le dataset historique sert à initialiser l'environnement : le DAG reste donc manuel.
-
+
-Le backend est exécuté dans l'environnement `/opt/backend` embarqué dans l'image Airflow,
+Le backend est exécuté dans l'environnement `/opt/backend` embarqué dans l'image Airflow,
-sur le même patron que le DAG `alertes` (ADR 0008).
+sur le même patron que le DAG `alertes` (ADR 0008).
-"""
+"""
-
+
-from __future__ import annotations
+from __future__ import annotations
-
+
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta
-
+
-from airflow.models.dag import DAG
+from airflow.providers.standard.operators.bash import BashOperator
-from airflow.operators.bash import BashOperator
+from airflow.sdk import DAG
-
+
-COMMANDE_BACKEND = "cd /opt/backend && env -u VIRTUAL_ENV uv run --no-sync python -m"
+COMMANDE_BACKEND = "cd /opt/backend && env -u VIRTUAL_ENV uv run --no-sync python -m"
-
+
-CSV_PATH = "/opt/data/raw/all_sites_combined.csv"
+CSV_PATH = "/opt/data/raw/all_sites_combined.csv"
-METADATA_PATH = "/opt/data/raw/dataset_metadata.json"
+METADATA_PATH = "/opt/data/raw/dataset_metadata.json"
-SOURCE_TIMEZONE = "UTC"
+SOURCE_TIMEZONE = "UTC"
-BATCH_SIZE = 1000
+BATCH_SIZE = 1000
-
+
-with DAG(
+with DAG(
-    dag_id="historical_import",
+    dag_id="historical_import",
-    description="Importe le dataset historique CSV/JSON dans dataset, site et reading.",
+    description="Importe le dataset historique CSV/JSON dans dataset, site et reading.",
-    schedule=None,
+    schedule=None,
-    start_date=datetime(2026, 1, 1),
+    start_date=datetime(2026, 1, 1),
-    catchup=False,
+    catchup=False,
-    max_active_runs=1,
+    max_active_runs=1,
-    tags=["etl", "historical"],
+    tags=["etl", "historical"],
-) as dag:
+) as dag:
-    BashOperator(
+    BashOperator(
-        task_id="import_historical",
+        task_id="import_historical",
-        bash_command=(
+        bash_command=(
-            f"{COMMANDE_BACKEND} app.etl.historical_import "
+            f"{COMMANDE_BACKEND} app.etl.historical_import "
-            f"--csv {CSV_PATH} "
+            f"--csv {CSV_PATH} "
-            f"--metadata {METADATA_PATH} "
+            f"--metadata {METADATA_PATH} "
-            "--source-timezone UTC "
+            "--source-timezone UTC "
-            "--batch-size 1000"
+            "--batch-size 1000"
-        ),
+        ),
-        retries=1,
+        retries=1,
-        retry_delay=timedelta(minutes=2),
+        retry_delay=timedelta(minutes=2),
-        execution_timeout=timedelta(minutes=30),
+        execution_timeout=timedelta(minutes=30),
-    )
+    )
@@ -10,8 +10,8 @@ from __future__ import annotations
 from datetime import datetime, timedelta
-from airflow.models.dag import DAG
+from airflow.providers.standard.operators.bash import BashOperator
-from airflow.operators.bash import BashOperator
+from airflow.sdk import DAG
 MODEL_PATH = "/opt/ml/state/models/lightgbm-consumption.txt"
@@ -11,8 +11,8 @@ from __future__ import annotations
 from datetime import datetime, timedelta
-from airflow.models.dag import DAG
+from airflow.providers.standard.operators.bash import BashOperator
-from airflow.operators.bash import BashOperator
+from airflow.sdk import DAG
 MODEL_PATH = "/opt/ml/state/models/lightgbm-consumption.txt"
 MLFLOW_TRACKING_URI = "sqlite:////opt/ml/state/mlflow.db"
@@ -4,7 +4,7 @@ version = "0.1.0"
 description = "DAGs d'orchestration EnerVision (Airflow)"
 requires-python = ">=3.12,<3.13"
 dependencies = [
-    "apache-airflow==2.10.4",
+    "apache-airflow==3.3.2",
 ]
 [dependency-groups]
@@ -5,8 +5,8 @@ from datetime import timedelta
 from pathlib import Path
 import pytest
-from airflow.models.baseoperator import BaseOperator
+from airflow.dag_processing.dagbag import DagBag
-from airflow.models.dagbag import DagBag
+from airflow.sdk import BaseOperator
 DAGS_FOLDER = Path(__file__).resolve().parent.parent / "dags"
@@ -22,7 +22,7 @@ TACHES = [
@pytest.fixture(scope="module")
 def dagbag() -> DagBag:
-    return DagBag(dag_folder=str(DAGS_FOLDER), include_examples=False)
+    return DagBag(dag_folder=str(DAGS_FOLDER))
 def test_dags_folder_has_no_import_error(dagbag: DagBag) -> None:
@@ -34,22 +34,22 @@ def test_every_expected_dag_is_discovered(dagbag: DagBag) -> None:
 def test_ml_train_has_no_schedule(dagbag: DagBag) -> None:
-    assert dagbag.dags["ml_train"].timetable.summary == "None"
+    assert dagbag.dags["ml_train"].schedule is None
 def test_ml_score_runs_every_hour(dagbag: DagBag) -> None:
-    # `@hourly` est un alias Airflow pour ce cron, c'est sous cette forme que `.summary` le rend.
+    # `@hourly` est un alias Airflow pour ce cron, c'est sous cette forme que la timetable le rend.
-    assert dagbag.dags["ml_score"].timetable.summary == "0 * * * *"
+    assert dagbag.dags["ml_score"].timetable.expression == "0 * * * *"
 def test_alertes_runs_after_the_hourly_scoring(dagbag: DagBag) -> None:
    # Le decalage n'est pas cosmetique : la regle `anomaly` compare une lecture a la `prediction`
    # du meme instant, que `ml_score` ecrit a l'heure pile.
-    assert dagbag.dags["alertes"].timetable.summary == "15 * * * *"
+    assert dagbag.dags["alertes"].timetable.expression == "15 * * * *"
 def test_historical_import_has_no_schedule(dagbag: DagBag) -> None:
-    assert dagbag.dags["historical_import"].timetable.summary == "None"
+    assert dagbag.dags["historical_import"].schedule is None
 def test_ml_train_task_calls_the_training_module(dagbag: DagBag) -> None:
@@ -9,7 +9,7 @@ Terminaison TLS et routage de la stack déployée. Seul composant publié sur le
 - `tls/` : les deux fichiers que nginx lit, `fullchain.pem` et `privkey.pem`. Ignorés par git.
 - `acme-deploy-hook.sh` : recopie le résultat de certbot dans `tls/`.
-Pas de `Dockerfile` : l'image officielle `nginx:1.28-alpine` est utilisée telle quelle et la
+Pas de `Dockerfile` : l'image officielle `nginx:1.31-alpine` est utilisée telle quelle et la
 configuration est montée en volume par `docker-compose.prod.yml`.
 L'overlay emploie les marqueurs `!override` et `!reset`, qui demandent **Docker Compose 2.24.4
@@ -88,7 +88,7 @@ docker run --rm \
  -v "$PWD/infra/proxy/nginx.conf:/etc/nginx/nginx.conf:ro" \
  -v "$PWD/infra/proxy/conf.d:/etc/nginx/conf.d:ro" \
  -v "$PWD/infra/proxy/tls:/etc/nginx/tls:ro" \
-  nginx:1.28-alpine nginx -t
+  nginx:1.31-alpine nginx -t
 ```
 Monter `infra/proxy/` entier sur `/etc/nginx` échouerait : `mime.types` vient de l'image.
@@ -47,13 +47,15 @@ preparer() {
    fi
    if [[ ! -f "$dossier/.env" ]]; then
        local brouillon="$dossier/.env.brouillon" oubliees
        sed -e "s|^POSTGRES_PASSWORD=.*|POSTGRES_PASSWORD=$(secret)|" \
            -e "s|^POSTGRES_PORT=.*|POSTGRES_PORT=$port_pg|" \
            -e "s|^APP_SECRET_KEY=.*|APP_SECRET_KEY=$(secret)|" \
            -e "s|^MAILPIT_UI_PORT=.*|MAILPIT_UI_PORT=$port_mailpit|" \
            -e "s|^AIRFLOW_PORT=.*|AIRFLOW_PORT=$port_airflow|" \
            -e "s|^AIRFLOW_FERNET_KEY=.*|AIRFLOW_FERNET_KEY=$(fernet)|" \
-            -e "s|^AIRFLOW_WEBSERVER_SECRET_KEY=.*|AIRFLOW_WEBSERVER_SECRET_KEY=$(secret)|" \
+            -e "s|^AIRFLOW_API_SECRET_KEY=.*|AIRFLOW_API_SECRET_KEY=$(secret)|" \
            -e "s|^AIRFLOW_JWT_SECRET=.*|AIRFLOW_JWT_SECRET=$(secret)|" \
            -e "s|^AIRFLOW_ADMIN_PASSWORD=.*|AIRFLOW_ADMIN_PASSWORD=$(secret | cut -c1-20)|" \
            -e "s|^AIRFLOW_APP_SECRET_KEY=.*|AIRFLOW_APP_SECRET_KEY=$(secret)|" \
            -e "s|^PUBLIC_HOST=.*|PUBLIC_HOST=$hote|" \
@@ -61,13 +63,21 @@ preparer() {
            -e "s|^COMPOSE_PROJECT_NAME=.*|COMPOSE_PROJECT_NAME=enervision-$env|" \
            -e "s|^PROXY_HTTP_PORT=.*|PROXY_HTTP_PORT=$port_http|" \
            -e "s|^PROXY_HTTPS_PORT=.*|PROXY_HTTPS_PORT=$port_https|" \
-            "$dossier/.env.example" > "$dossier/.env"
+            "$dossier/.env.example" > "$brouillon"
        # Branche antérieure à l'ADR 0009 : ces clés manquent alors dans .env.example.
        for cle in "COMPOSE_PROJECT_NAME=enervision-$env" "PUBLIC_ORIGIN=$origine" \
                   "PROXY_HTTP_PORT=$port_http" "PROXY_HTTPS_PORT=$port_https"; do
-            grep -q "^${cle%%=*}=" "$dossier/.env" || echo "$cle" >> "$dossier/.env"
+            grep -q "^${cle%%=*}=" "$brouillon" || echo "$cle" >> "$brouillon"
        done
-        chmod 600 "$dossier/.env"
+        # Piège : une clé renommée en amont garde sa valeur d'exemple, que le `:?` du compose ne
        # voit pas puisqu'elle n'est pas vide. Cas vécu : AIRFLOW_WEBSERVER_SECRET_KEY, Airflow 3.
        oubliees="$(grep '=change_me$' "$brouillon" | grep -v '^APP_MOCK_API_' | cut -d= -f1 | tr '\n' ' ' || true)"
        if [[ -n "$oubliees" ]]; then
            rm -f "$brouillon"
            erreur "$env : secrets non générés, .env non écrit : $oubliees"
        fi
        chmod 600 "$brouillon"
        mv "$brouillon" "$dossier/.env"
        echo "$env : .env généré. Reste à renseigner APP_MOCK_API_USERNAME et APP_MOCK_API_PASSWORD."
    fi