diff --git a/.env.example b/.env.example
index e909bd1..b6f56aa 100644
--- a/.env.example
+++ b/.env.example
@@ -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.
@@ -53,3 +56,21 @@ AIRFLOW_APP_SECRET_KEY=change_me
# PUBLIC_HOST alimente l'origine CORS, le lien de réinitialisation et le certificat.
PUBLIC_HOST=enervision.local
ACME_EMAIL=
+
+# Deux environnements sur la même machine (ADR 0009) : un dossier, un `.env` et un projet Compose
+# chacun. Le nom de projet préfixe volumes, réseau et conteneurs et l'emporte sur `name:`.
+# Vide sur un poste de développement : le projet reste `enervision`.
+COMPOSE_PROJECT_NAME=
+# Origine publique, avec le port si le proxy HTTPS n'écoute pas 443. Vide : https://PUBLIC_HOST.
+# Recette : PUBLIC_HOST=rec.enervision.local et PUBLIC_ORIGIN=https://rec.enervision.local:8443.
+PUBLIC_ORIGIN=
+# Ports publiés par le proxy. Vides : 80 et 443. Recette : PROXY_HTTPS_PORT=8443 et
+# PROXY_HTTP_PORT=127.0.0.1:8081, la redirection vers 443 n'ayant pas à être joignable de
+# l'extérieur. Décaler aussi POSTGRES_PORT, MAILPIT_UI_PORT et AIRFLOW_PORT (5434, 8026, 8082).
+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.
+TS_TUNE_MEMORY=2GB
+TS_TUNE_NUM_CPUS=2
+AIRFLOW_WEBSERVER_WORKERS=2
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index a925ee4..a02f919 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -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"
diff --git a/.github/workflows/airflow.yml b/.github/workflows/airflow.yml
index d5a722a..23b6af0 100644
--- a/.github/workflows/airflow.yml
+++ b/.github/workflows/airflow.yml
@@ -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
-# ml/ ne vit que dans l'image Docker, dans son propre environnement (cf. etl/airflow/Dockerfile).
+# (contrairement à backend.yml et ml.yml) : celui de l'image apache/airflow retenue, et les tests
+# 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 .
@@ -91,11 +92,12 @@ jobs:
bash -c "cd /opt/ml && env -u VIRTUAL_ENV uv run --no-sync python -m enervision_ml.train --help"
# `--help` sort par argparse avant `get_settings()` : ni base ni secret requis, et
- # l'import du module prouve que l'environnement /opt/backend est complet. Les deux
- # commandes du DAG `alertes` sont couvertes, `app.cli` tirant tout FastAPI derrière lui.
- - name: Vérifie que les deux commandes du DAG alertes s'importent sans réseau
+ # l'import des modules prouve que l'environnement /opt/backend est complet.
+ # Les deux commandes du DAG `alertes` et la commande du DAG historique sont couvertes.
+ - name: Vérifie que les trois commandes backend s'importent sans réseau
run: >
docker run --rm --network none enervision-airflow:ci
bash -c "cd /opt/backend
&& env -u VIRTUAL_ENV uv run --no-sync python -m app.detection.internal_alerts --help
- && env -u VIRTUAL_ENV uv run --no-sync python -m app.cli generate-recommendations --help"
+ && env -u VIRTUAL_ENV uv run --no-sync python -m app.cli generate-recommendations --help
+ && env -u VIRTUAL_ENV uv run --no-sync python -m app.etl.historical_import --help"
\ No newline at end of file
diff --git a/.github/workflows/backend.yml b/.github/workflows/backend.yml
index 34837cd..84c0664 100644
--- a/.github/workflows/backend.yml
+++ b/.github/workflows/backend.yml
@@ -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.
diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
new file mode 100644
index 0000000..4055e9c
--- /dev/null
+++ b/.github/workflows/deploy.yml
@@ -0,0 +1,57 @@
+# Pourquoi : le runner tourne sur la VM ENI, adresse privée que les runners hébergés par GitHub
+# ne joignent pas, et travaille dans un dossier stable par environnement plutôt que dans son
+# espace de travail : `.env`, certificats et volumes y survivent d'un déploiement à l'autre.
+# Piège : jamais de déclencheur `pull_request` ici. Sur un dépôt public, une PR de fork
+# exécuterait son code sur la machine de production (ADR 0009) - job deploy.
+
+name: Déploiement
+
+on:
+ push:
+ branches: [dev, main]
+ workflow_dispatch:
+
+permissions:
+ contents: read
+
+concurrency:
+ group: deploy-${{ github.ref_name }}
+ cancel-in-progress: false
+
+jobs:
+ deploy:
+ runs-on: [self-hosted, linux, eni-g3]
+ timeout-minutes: 30
+ environment:
+ name: ${{ github.ref_name == 'main' && 'prod' || 'rec' }}
+ url: ${{ github.ref_name == 'main' && 'https://enervision.local' || 'https://rec.enervision.local:8443' }}
+ env:
+ ENVIRONNEMENT: ${{ github.ref_name == 'main' && 'prod' || 'rec' }}
+ PORT_HTTPS: ${{ github.ref_name == 'main' && '443' || '8443' }}
+ steps:
+ - name: Aligner le dossier de l'environnement sur la branche poussée
+ run: |
+ cd "/srv/enervision/${ENVIRONNEMENT}"
+ git fetch --quiet origin "${GITHUB_REF_NAME}"
+ git checkout --quiet "${GITHUB_REF_NAME}"
+ git reset --quiet --hard "origin/${GITHUB_REF_NAME}"
+ git log -1 --format='%h %s'
+
+ - name: Reconstruire et redémarrer la stack
+ run: |
+ cd "/srv/enervision/${ENVIRONNEMENT}"
+ make stack-up
+
+ - name: Attendre que l'API réponde derrière le proxy
+ run: |
+ for tentative in $(seq 1 36); do
+ if curl --fail --silent --insecure "https://localhost:${PORT_HTTPS}/api/v1/health/ready"; then
+ exit 0
+ fi
+ sleep 5
+ done
+ echo "L'API ne répond pas après 3 minutes" >&2
+ cd "/srv/enervision/${ENVIRONNEMENT}"
+ docker compose ps
+ docker compose logs --tail=50 backend proxy
+ exit 1
diff --git a/.github/workflows/frontend.yml b/.github/workflows/frontend.yml
index daaa6e3..1ba4010 100644
--- a/.github/workflows/frontend.yml
+++ b/.github/workflows/frontend.yml
@@ -17,10 +17,10 @@ jobs:
build:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v6
- - uses: actions/setup-node@v6
+ - uses: actions/checkout@v7
+ - 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/setup-node@v6
+ - uses: actions/checkout@v7
+ - 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/setup-node@v6
+ - uses: actions/checkout@v7
+ - 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
diff --git a/.github/workflows/ml.yml b/.github/workflows/ml.yml
index 00189e2..0b745eb 100644
--- a/.github/workflows/ml.yml
+++ b/.github/workflows/ml.yml
@@ -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
diff --git a/.github/workflows/sonarqube.yml b/.github/workflows/sonarqube.yml
index e41f7e4..4544c4e 100644
--- a/.github/workflows/sonarqube.yml
+++ b/.github/workflows/sonarqube.yml
@@ -24,10 +24,10 @@ jobs:
build-front:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v6
- - uses: actions/setup-node@v6
+ - uses: actions/checkout@v7
+ - 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/setup-node@v6
+ - uses: actions/checkout@v7
+ - 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
diff --git a/Makefile b/Makefile
index 157bff2..b3d3c7b 100644
--- a/Makefile
+++ b/Makefile
@@ -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.
- docker compose up -d airflow-init airflow-webserver airflow-scheduler
+airflow-up: db-ensure-airflow ## Démarre Airflow (api-server + scheduler + dag-processor, LocalExecutor). db-up requis avant.
+ 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
- docker compose stop airflow-webserver airflow-scheduler
+airflow-down: ## Arrête l'api-server, le scheduler et le dag-processor Airflow
+ 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
@@ -148,12 +148,15 @@ docker-build: ## Construit l'image du backend
tls-selfsigned: ## Génère le certificat de démonstration. PUBLIC_HOST=..., FORCE=1 pour écraser
./scripts/tls-selfsigned.sh $(if $(FORCE),--force,)
-stack-up: ## Démarre la stack complète derrière le reverse proxy (80/443). PUBLIC_HOST=... au besoin
+# Piège : l'image backend ne migre pas au démarrage, et `/health/ready` ne teste que la connexion
+# et l'extension. Sans `alembic upgrade head`, la stack démarre verte sur une base sans schéma.
+stack-up: ## Démarre la stack derrière le reverse proxy, puis migre la base. PUBLIC_HOST=... au besoin
@test -f infra/proxy/tls/fullchain.pem \
|| { echo "Aucun certificat dans infra/proxy/tls. Lancer d'abord make tls-selfsigned"; exit 1; }
@openssl x509 -in infra/proxy/tls/fullchain.pem -noout -checkhost "$(PUBLIC_HOST)" >/dev/null \
|| { echo "Le certificat ne couvre pas $(PUBLIC_HOST). Relancer make tls-selfsigned PUBLIC_HOST=$(PUBLIC_HOST) FORCE=1"; exit 1; }
$(COMPOSE_PROD) up -d --build
+ $(COMPOSE_PROD) exec -T backend alembic upgrade head
stack-down: ## Arrête la stack complète en conservant les données
$(COMPOSE_PROD) stop
diff --git a/README.md b/README.md
index 56093e9..1ce516e 100644
--- a/README.md
+++ b/README.md
@@ -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 |
-| J4 | Valider la robustesse et assurer les livrables |
+| J3 | Ingestion & backend |
+| 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 |
-| Frontend | Angular 22, Node 24 LTS | `apps/frontend` | Tableau de bord |
-| Base | PostgreSQL 17 + TimescaleDB | `db` | Initialise |
-| ETL | Apache Airflow | `etl/airflow` | Trois DAGs |
+| Backend | FastAPI, Python 3.14 | `apps/backend` | En place |
+| Frontend | Angular 22, Node 26 | `apps/frontend` | En place |
+| 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
@@ -48,7 +50,7 @@ L'etat detaille de chaque brique et les vues d'architecture sont dans
│ ├── migrations/ Migrations SQL versionnees
│ └── seeds/ Jeux de donnees de reference
├── etl/airflow/
-│ ├── dags/ DAGs d'orchestration (pipeline ML, alertes)
+│ ├── dags/ DAGs d'orchestration (pipeline ML, alertes, import historique)
│ ├── plugins/ Operateurs et hooks maison
│ ├── include/ Requetes SQL et ressources des DAGs
│ └── tests/ Tests d'integrite des DAGs
@@ -143,6 +145,12 @@ nom de domaine public ne résout vers la machine. Routage, mode ACME et renouvel
[`infra/proxy/README.md`](infra/proxy/README.md) ; la décision et ses motifs dans
[l'ADR 0007](docs/adr/0007-terminaison-tls-et-reverse-proxy-nginx.md).
+Sur la VM ENI, deux environnements cohabitent, recette sur `dev` et production sur `main`,
+chacun dans son dossier et son projet Compose : `scripts/provision-host.sh` les prépare, le
+workflow `deploy.yml` les redéploie à chaque push par un runner auto-hébergé. Ports, noms
+d'hôte et garde-fous dans [`docs/architecture/10-infra.md`](docs/architecture/10-infra.md) et
+[l'ADR 0009](docs/adr/0009-deux-environnements-compose-sur-la-vm-eni.md).
+
## Conventions
- Branches : `feat/`, `fix/`, `chore/`, `docs/`, `test/` suivi d'un libelle court.
diff --git a/apps/backend/uv.lock b/apps/backend/uv.lock
index a8b434f..7b67e36 100644
--- a/apps/backend/uv.lock
+++ b/apps/backend/uv.lock
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{ name = "python-dateutil" },
{ name = "tzdata", marker = "sys_platform == 'emscripten' or sys_platform == 'win32'" },
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[[package]]
diff --git a/apps/frontend/Dockerfile b/apps/frontend/Dockerfile
index 1890bc1..8de53d5 100644
--- a/apps/frontend/Dockerfile
+++ b/apps/frontend/Dockerfile
@@ -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 dhi.io/nginx:1.28.0-alpine3.21-dev 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
diff --git a/apps/frontend/package-lock.json b/apps/frontend/package-lock.json
index a60cacb..e39c96c 100644
--- a/apps/frontend/package-lock.json
+++ b/apps/frontend/package-lock.json
@@ -8,12 +8,12 @@
"name": "frontend",
"version": "0.0.0",
"dependencies": {
- "@angular/common": "^22.1.0",
- "@angular/compiler": "^22.1.0",
- "@angular/core": "^22.1.0",
- "@angular/forms": "^22.1.0",
- "@angular/platform-browser": "^22.1.0",
- "@angular/router": "^22.1.0",
+ "@angular/common": "^22.1.7",
+ "@angular/compiler": "^22.1.7",
+ "@angular/core": "^22.1.7",
+ "@angular/forms": "^22.1.7",
+ "@angular/platform-browser": "^22.1.7",
+ "@angular/router": "^22.1.7",
"chart.js": "^4.5.1",
"rxjs": "~7.8.0",
"tslib": "^2.3.0"
@@ -21,21 +21,14 @@
"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",
- "prettier": "^3.8.1",
+ "jsdom": "^30.1.0",
+ "prettier": "^3.9.8",
"typescript": "~6.0.2",
- "vitest": "^4.0.8"
+ "vitest": "^4.1.11"
}
},
- "node_modules/@acemir/cssom": {
- "version": "0.9.31",
- "resolved": "https://registry.npmjs.org/@acemir/cssom/-/cssom-0.9.31.tgz",
- "integrity": "sha512-ZnR3GSaH+/vJ0YlHau21FjfLYjMpYVIzTD8M8vIEQvIGxeOXyXdzCI140rrCY862p/C/BbzWsjc1dgnM9mkoTA==",
- "dev": true,
- "license": "MIT"
- },
"node_modules/@ampproject/remapping": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
@@ -255,9 +248,9 @@
}
},
"node_modules/@angular/common": {
- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/common/-/common-22.1.6.tgz",
- "integrity": "sha512-giuH+jJvo6YbBxbKofJCXvq6k8g1Z/xCAvh4piNFSSS6/toXTLCeZ+snr6Stw5b2wRbArM5Q5nDeuto3NqVPnQ==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/common/-/common-22.1.7.tgz",
+ "integrity": "sha512-SLW4AdH2Y8G9SM/iFRNpCQtkmvq55RcIQWsADT9ypZ7FxxcnJRsr4Q/WnbUBbuCslsCkrgzU1i9WDiW0m7gcnw==",
"license": "MIT",
"dependencies": {
"tslib": "^2.3.0"
@@ -266,14 +259,14 @@
"node": "^22.22.3 || ^24.15.0 || >=26.0.0"
},
"peerDependencies": {
- "@angular/core": "22.1.6",
+ "@angular/core": "22.1.7",
"rxjs": "^6.5.3 || ^7.4.0"
}
},
"node_modules/@angular/compiler": {
- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/compiler/-/compiler-22.1.6.tgz",
- "integrity": "sha512-JjOUm/qD338+fGfZvxSNn/vTUiVqNwOiPzacInVUq1eVp7Jev+cnvEwXA2cFJkYZoy3Imz6wHoMvTUZNN8cbKQ==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/compiler/-/compiler-22.1.7.tgz",
+ "integrity": "sha512-qhoHAByh805nT4Xy4Wd2kE5FvkTc7wcg8Qps+EH6+z4KRfwGiL5cwdgooGWjTAldFCeqTgJ0BO/0dB6GHZjdkQ==",
"license": "MIT",
"dependencies": {
"tslib": "^2.3.0"
@@ -283,9 +276,9 @@
}
},
"node_modules/@angular/compiler-cli": {
- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/compiler-cli/-/compiler-cli-22.1.6.tgz",
- "integrity": "sha512-C1fQuaSLnibhfbb7Im/vurdBEcfQk+/GqPkY4+dgEKd4EPleO0xWlD+k5DwyNFX8a9w7HebWfo0Zl66HuaEwOQ==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/compiler-cli/-/compiler-cli-22.1.7.tgz",
+ "integrity": "sha512-VGg8Kyt0YymQfnUUFk79vFaM+x5xmIMHy+BZh3P2Lh/uxqCXTWhJJH8kOHKtIGGH5/wKhBEmSy2CezdcIuM9xg==",
"dev": true,
"license": "MIT",
"dependencies": {
@@ -306,7 +299,7 @@
"node": "^22.22.3 || ^24.15.0 || >=26.0.0"
},
"peerDependencies": {
- "@angular/compiler": "22.1.6",
+ "@angular/compiler": "22.1.7",
"typescript": ">=6.0 <6.1"
},
"peerDependenciesMeta": {
@@ -316,9 +309,9 @@
}
},
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- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/core/-/core-22.1.6.tgz",
- "integrity": "sha512-3Ln9YYOhsaU2vPufnpcu6C4dlmX4e/nJTlggVcKMT7bGZH5KlEtw3h0uh9YfANv8YhQCEk1AcuRI7KpBnh5ing==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/core/-/core-22.1.7.tgz",
+ "integrity": "sha512-T9bt1PIgoN7n+TxGHTUgu0EsomlGMQ84YMXbMB+N6HhD8C1qZxn0uCbnAtCUjcecg1am8ioKxNTO0eII9ouioQ==",
"license": "MIT",
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"tslib": "^2.3.0"
@@ -327,7 +320,7 @@
"node": "^22.22.3 || ^24.15.0 || >=26.0.0"
},
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- "@angular/compiler": "22.1.6",
+ "@angular/compiler": "22.1.7",
"rxjs": "^6.5.3 || ^7.4.0",
"zone.js": "~0.15.0 || ~0.16.0"
},
@@ -341,9 +334,9 @@
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},
"node_modules/@angular/forms": {
- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/forms/-/forms-22.1.6.tgz",
- "integrity": "sha512-rfV4G4UB4l69yXSRvhaHPzTMIruvBlRO+ak9NtTcYMnsoj8O5ZCyPv0ledGIrLTBwGSI3X1j4nr9aoV+Rj/n+Q==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/forms/-/forms-22.1.7.tgz",
+ "integrity": "sha512-oc0DT39C3ZboJpDx8xKUCltgn56LHi0kbv+ThNK/dCSZLgjF2nd+muMMRYF+amdljQp2q7+hm2ORmhON3CNFog==",
"license": "MIT",
"dependencies": {
"@standard-schema/spec": "^1.0.0",
@@ -354,16 +347,16 @@
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},
"peerDependencies": {
- "@angular/common": "22.1.6",
- "@angular/core": "22.1.6",
- "@angular/platform-browser": "22.1.6",
+ "@angular/common": "22.1.7",
+ "@angular/core": "22.1.7",
+ "@angular/platform-browser": "22.1.7",
"rxjs": "^6.5.3 || ^7.4.0"
}
},
"node_modules/@angular/platform-browser": {
- "version": "22.1.6",
- "resolved": "https://registry.npmjs.org/@angular/platform-browser/-/platform-browser-22.1.6.tgz",
- "integrity": "sha512-jrRi6zpdz+jOle5l0OW7QL0a8xPgdnxWT5FrJabbiNKfYzQfqKcaAu02l8uJoJxtGb8fLQ8pbjkPpZEvKO2z+w==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/platform-browser/-/platform-browser-22.1.7.tgz",
+ "integrity": "sha512-4dT3qGw3ZHVQUcHKALzMx9MTo+pxAMzHIPxc8HUESklqXfq6GRaIIfFMvE0RsquI9iqu6admD6lOAEzLWS8DxA==",
"license": "MIT",
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"tslib": "^2.3.0"
@@ -372,9 +365,9 @@
"node": "^22.22.3 || ^24.15.0 || >=26.0.0"
},
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- "@angular/animations": "22.1.6",
- "@angular/common": "22.1.6",
- "@angular/core": "22.1.6"
+ "@angular/animations": "22.1.7",
+ "@angular/common": "22.1.7",
+ "@angular/core": "22.1.7"
},
"peerDependenciesMeta": {
"@angular/animations": {
@@ -383,9 +376,9 @@
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- "resolved": "https://registry.npmjs.org/@angular/router/-/router-22.1.6.tgz",
- "integrity": "sha512-ex0vrkcVyJJdn7NzZXun+5ctaPPLTZJ/gE7A3g1dun7BM3g4Z6zT738mODFeJgtPtJNf4bTs2gpgvyegvzWH7w==",
+ "version": "22.1.7",
+ "resolved": "https://registry.npmjs.org/@angular/router/-/router-22.1.7.tgz",
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@@ -394,60 +387,45 @@
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},
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- "@angular/common": "22.1.6",
- "@angular/core": "22.1.6",
- "@angular/platform-browser": "22.1.6",
+ "@angular/common": "22.1.7",
+ "@angular/core": "22.1.7",
+ "@angular/platform-browser": "22.1.7",
"rxjs": "^6.5.3 || ^7.4.0"
}
},
"node_modules/@asamuzakjp/css-color": {
- "version": "5.1.11",
- "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-5.1.11.tgz",
- "integrity": "sha512-KVw6qIiCTUQhByfTd78h2yD1/00waTmm9uy/R7Ck/ctUyAPj+AEDLkQIdJW0T8+qGgj3j5bpNKK7Q3G+LedJWg==",
+ "version": "7.0.0",
+ "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-7.0.0.tgz",
+ "integrity": "sha512-IxddtGnnoidVSO6O/aiTueptbTThHvi2qGHu9/AWuD1J7i86Ox+jl+Y5SXcDH1RixzQlP2cjH/PjnlImZiAurQ==",
"dev": true,
"license": "MIT",
"dependencies": {
- "@asamuzakjp/generational-cache": "^1.0.1",
- "@csstools/css-calc": "^3.2.0",
- "@csstools/css-color-parser": "^4.1.0",
+ "@csstools/css-calc": "^3.3.0",
+ "@csstools/css-color-parser": "^4.2.0",
"@csstools/css-parser-algorithms": "^4.0.0",
- "@csstools/css-tokenizer": "^4.0.0"
+ "@csstools/css-tokenizer": "^4.0.0",
+ "lru-cache": "^11.5.2"
},
"engines": {
- "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+ "node": "^22.22.2 || ^24.15.0 || >=26.0.0"
}
},
"node_modules/@asamuzakjp/dom-selector": {
- "version": "6.8.1",
- "resolved": "https://registry.npmjs.org/@asamuzakjp/dom-selector/-/dom-selector-6.8.1.tgz",
- "integrity": "sha512-MvRz1nCqW0fsy8Qz4dnLIvhOlMzqDVBabZx6lH+YywFDdjXhMY37SmpV1XFX3JzG5GWHn63j6HX6QPr3lZXHvQ==",
+ "version": "9.1.4",
+ "resolved": "https://registry.npmjs.org/@asamuzakjp/dom-selector/-/dom-selector-9.1.4.tgz",
+ "integrity": "sha512-ynDE7RDZM1z+YuSU+iGhRp8WcSXHqK9+G32ZEzsL35TKSoy72fYR7VfrJCQkWe3ciiIWGSTAIBc9XB5jVpqyTw==",
"dev": true,
"license": "MIT",
"dependencies": {
- "@asamuzakjp/nwsapi": "^2.3.9",
- "bidi-js": "^1.0.3",
- "css-tree": "^3.1.0",
+ "bidi-js": "^1.1.0",
+ "css-tree": "^3.2.1",
"is-potential-custom-element-name": "^1.0.1",
- "lru-cache": "^11.2.6"
- }
- },
- "node_modules/@asamuzakjp/generational-cache": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/@asamuzakjp/generational-cache/-/generational-cache-1.0.1.tgz",
- "integrity": "sha512-wajfB8KqzMCN2KGNFdLkReeHncd0AslUSrvHVvvYWuU8ghncRJoA50kT3zP9MVL0+9g4/67H+cdvBskj9THPzg==",
- "dev": true,
- "license": "MIT",
+ "lru-cache": "^11.5.2"
+ },
"engines": {
- "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+ "node": "^22.22.2 || ^24.15.0 || >=26.0.0"
}
},
- "node_modules/@asamuzakjp/nwsapi": {
- "version": "2.3.9",
- "resolved": "https://registry.npmjs.org/@asamuzakjp/nwsapi/-/nwsapi-2.3.9.tgz",
- "integrity": "sha512-n8GuYSrI9bF7FFZ/SjhwevlHc8xaVlb/7HmHelnc/PZXBD2ZR49NnN9sMMuDdEGPeeRQ5d0hqlSlEpgCX3Wl0Q==",
- "dev": true,
- "license": "MIT"
- },
"node_modules/@babel/code-frame": {
"version": "8.0.0",
"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",
- "resolved": "https://registry.npmjs.org/@csstools/css-syntax-patches-for-csstree/-/css-syntax-patches-for-csstree-1.1.13.tgz",
- "integrity": "sha512-i9ZylF5QNhmNfPA9l0vHAWK4kPrbIp6g9lKgaiIFsIBz2F/WNB7OLrzlNNcCOm+h42bkaSD2v1PG+IBPHhc3ZA==",
+ "version": "1.1.14",
+ "resolved": "https://registry.npmjs.org/@csstools/css-syntax-patches-for-csstree/-/css-syntax-patches-for-csstree-1.1.14.tgz",
+ "integrity": "sha512-HpbVXyrofRXpHpgkNIjU/3EWR4WJvOkO3emNK/L6X/mTJU7bGUI3AkkpoTNXznQLp0KRjLHELTGeKI5dIkI9JQ==",
"dev": true,
"funding": [
{
@@ -879,9 +857,9 @@
}
},
"node_modules/@csstools/css-tokenizer": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-4.0.0.tgz",
- "integrity": "sha512-QxULHAm7cNu72w97JUNCBFODFaXpbDg+dP8b/oWFAZ2MTRppA3U00Y2L1HqaS4J6yBqxwa/Y3nMBaxVKbB/NsA==",
+ "version": "4.0.1",
+ "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-4.0.1.tgz",
+ "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",
- "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-28.1.0.tgz",
- "integrity": "sha512-0+MoQNYyr2rBHqO1xilltfDjV9G7ymYGlAUazgcDLQaUf8JDHbuGwsxN6U9qWaElZ4w1B2r7yEGIL3GdeW3Rug==",
+ "version": "30.1.0",
+ "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-30.1.0.tgz",
+ "integrity": "sha512-h/Q+H+KmlGf49ITw3TrykSVbg04S75S2O7ZtJc9gMGOWBrQRZmx5AJIKLtJ01e6Kszl+/tpFthCVqxNifxhoqg==",
"dev": true,
"license": "MIT",
"dependencies": {
- "@acemir/cssom": "^0.9.31",
- "@asamuzakjp/dom-selector": "^6.8.1",
+ "@asamuzakjp/css-color": "^7.0.0",
+ "@asamuzakjp/dom-selector": "^9.1.2",
"@bramus/specificity": "^2.4.2",
- "@exodus/bytes": "^1.11.0",
- "cssstyle": "^6.0.1",
+ "@csstools/css-syntax-patches-for-csstree": "^1.1.13",
+ "@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": "^6.0.0",
- "undici": "^7.21.0",
+ "tough-cookie": "^6.0.2",
+ "undici": "^8.10.2",
"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": {
- "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/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==",
+ "node_modules/jsdom/node_modules/whatwg-url": {
+ "version": "17.1.1",
+ "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-17.1.1.tgz",
+ "integrity": "sha512-ohjk1mdUebJVadRt3bAhQhx8lSnISq+GDttK79LFl8EHQkAPvzwctoasC4hs8tBt6kLAncBWWyq1N52qEfKvDw==",
"dev": true,
"license": "MIT",
"dependencies": {
- "agent-base": "^7.1.2",
- "debug": "4"
+ "@exodus/bytes": "^1.15.1",
+ "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",
- "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.9.6.tgz",
- "integrity": "sha512-OpN0zzVdiaiAhxpuuj5efpIS4sY9j7bY6uR5mnj5yPzGkdkjNKSJeUThPb60Jw29QuAZgA4o+/iB49kFiaBX6g==",
+ "version": "3.9.8",
+ "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.9.8.tgz",
+ "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",
- "resolved": "https://registry.npmjs.org/undici/-/undici-7.29.1.tgz",
- "integrity": "sha512-RYONW2MeafgYlkVOKYKkA/Ag7BmXqgIWCa8t1m0JcxrQg9pI9lEqRhAOruOBCbAohOa/gkCF+iPi9hrgvTzu6Q==",
+ "version": "8.10.2",
+ "resolved": "https://registry.npmjs.org/undici/-/undici-8.10.2.tgz",
+ "integrity": "sha512-/y4/bH9YNU5hi9NIrpOuvGXFcxrj3CMrV+/AYpowAYTpHn8gX/XPFjNy766FPoYY0miQhdW977JFWKGNhBdwyQ==",
"dev": true,
"license": "MIT",
"engines": {
- "node": ">=20.18.1"
+ "node": ">=22.19.0"
}
},
"node_modules/unpipe": {
diff --git a/apps/frontend/package.json b/apps/frontend/package.json
index 1c934bc..d3bcbc2 100644
--- a/apps/frontend/package.json
+++ b/apps/frontend/package.json
@@ -12,12 +12,12 @@
"private": true,
"packageManager": "npm@11.19.0",
"dependencies": {
- "@angular/common": "^22.1.0",
- "@angular/compiler": "^22.1.0",
- "@angular/core": "^22.1.0",
- "@angular/forms": "^22.1.0",
- "@angular/platform-browser": "^22.1.0",
- "@angular/router": "^22.1.0",
+ "@angular/common": "^22.1.7",
+ "@angular/compiler": "^22.1.7",
+ "@angular/core": "^22.1.7",
+ "@angular/forms": "^22.1.7",
+ "@angular/platform-browser": "^22.1.7",
+ "@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",
- "prettier": "^3.8.1",
+ "jsdom": "^30.1.0",
+ "prettier": "^3.9.8",
"typescript": "~6.0.2",
- "vitest": "^4.0.8"
+ "vitest": "^4.1.11"
}
}
diff --git a/db/init/120-airflow-database.sql b/db/init/120-airflow-database.sql
index 05b7f72..fb0d9b2 100644
--- a/db/init/120-airflow-database.sql
+++ b/db/init/120-airflow-database.sql
@@ -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).
diff --git a/docker-compose.prod.yml b/docker-compose.prod.yml
index 868ae17..e1debb7 100644
--- a/docker-compose.prod.yml
+++ b/docker-compose.prod.yml
@@ -5,6 +5,8 @@
# moyen de dépublier 8000 et 3000 : sans lui, l'API resterait joignable en clair à côté du proxy.
# Piège : pas de `:?` sur `PUBLIC_HOST`. Compose interpole tout le fichier, y compris pour
# `stop` et `logs` : la garde vit dans `make stack-up`, qui la compare au certificat servi.
+# Pourquoi : ports du proxy et origine publique en variables, pour que deux environnements
+# cohabitent sur la même machine, chacun dans son projet Compose (ADR 0009).
name: enervision
@@ -12,14 +14,19 @@ services:
db:
ports: !override
- "127.0.0.1:${POSTGRES_PORT:-5433}:5432"
+ environment:
+ TS_TUNE_MEMORY: ${TS_TUNE_MEMORY:-2GB}
+ TS_TUNE_NUM_CPUS: ${TS_TUNE_NUM_CPUS:-2}
mailpit:
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
@@ -37,22 +44,22 @@ services:
APP_ENV: prod
APP_DEBUG: "false"
APP_TRUST_PROXY_HEADERS: "true"
- APP_CORS_ORIGINS: https://${PUBLIC_HOST:-enervision.local}
- APP_FRONTEND_RESET_PASSWORD_URL: https://${PUBLIC_HOST:-enervision.local}/reset-password
+ APP_CORS_ORIGINS: ${PUBLIC_ORIGIN:-https://${PUBLIC_HOST:-enervision.local}}
+ APP_FRONTEND_RESET_PASSWORD_URL: ${PUBLIC_ORIGIN:-https://${PUBLIC_HOST:-enervision.local}}/reset-password
frontend:
ports: !reset null
proxy:
- image: nginx:1.28-alpine
+ image: nginx:1.31-alpine
depends_on:
backend:
condition: service_healthy
frontend:
condition: service_started
ports:
- - "80:80"
- - "443:443"
+ - "${PROXY_HTTP_PORT:-80}:80"
+ - "${PROXY_HTTPS_PORT:-443}:443"
volumes:
- ./infra/proxy/nginx.conf:/etc/nginx/nginx.conf:ro
- ./infra/proxy/conf.d:/etc/nginx/conf.d:ro
diff --git a/docker-compose.yml b/docker-compose.yml
index da19f43..ffa7238 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -5,9 +5,9 @@
name: enervision
-# Piege : LocalExecutor fait tourner les taches comme sous-processus du scheduler, jamais du
-# webserver. `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
+# Piege : LocalExecutor fait tourner les taches comme sous-processus du scheduler, jamais de
+# 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 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.
@@ -36,6 +43,7 @@ x-airflow-common: &airflow-common
volumes:
- ./etl/airflow/dags:/opt/airflow/dags
- ./etl/airflow/plugins:/opt/airflow/plugins
+ - ./data/raw:/opt/data/raw:ro
- airflow_logs:/opt/airflow/logs
- airflow_ml_state:/opt/ml/state
restart: unless-stopped
@@ -110,11 +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
- # succes, ne demarrent pas sur une base non migree. Le mot de passe passe par l'environnement,
- # jamais par `argv` (ni `ps`, ni `docker compose config`).
+ # `pgdata` deja peuple) fait echouer ce service, et api-server, dag-processor et scheduler,
+ # qui attendent son succes, ne demarrent pas sur une base non migree. Le mot de passe passe
+ # 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"
@@ -134,13 +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:
@@ -149,7 +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
@@ -164,6 +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:
diff --git a/docs/README.md b/docs/README.md
index ca50a10..9d4604d 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -15,3 +15,4 @@
| [0006](adr/0006-moteur-de-regles-dans-le-backend.md) | Le moteur de règles de recommandation vit dans le backend, pas dans `ml/` |
| [0007](adr/0007-terminaison-tls-et-reverse-proxy-nginx.md) | Terminaison TLS par un reverse proxy Nginx, en Docker Compose |
| [0008](adr/0008-airflow-execute-le-code-du-backend.md) | Airflow exécute le code du backend en sous-processus, dans son propre environnement |
+| [0009](adr/0009-deux-environnements-compose-sur-la-vm-eni.md) | Deux environnements sur la VM ENI, un projet Compose chacun, déployés par un runner auto-hébergé |
diff --git a/docs/adr/0009-deux-environnements-compose-sur-la-vm-eni.md b/docs/adr/0009-deux-environnements-compose-sur-la-vm-eni.md
new file mode 100644
index 0000000..0cc1a66
--- /dev/null
+++ b/docs/adr/0009-deux-environnements-compose-sur-la-vm-eni.md
@@ -0,0 +1,80 @@
+# 0009 - Deux environnements sur la VM ENI, un projet Compose chacun, déployés par un runner auto-hébergé
+
+- Statut : accepté
+- Date : 2026-09-21
+
+## Contexte
+
+La grille note EC03 à EC06 sur ce qui est déployé et fonctionnel au J10. Au 21/09, rien ne
+l'est : la CI s'arrête au merge (issue #21), la topologie Compose avec reverse proxy
+([ADR 0007](0007-terminaison-tls-et-reverse-proxy-nginx.md)) n'a jamais quitté le poste, et le
+module Terraform k3s n'a jamais été appliqué. L'école met à disposition une seule VM,
+`eadl-2025-nantes-g3`, sur une adresse privée que les runners hébergés par GitHub ne joignent
+pas, sans DNS public.
+
+Il faut deux environnements, recette et production, parce que la stratégie de branches en a
+déjà deux, `dev` et `main`, et qu'un déploiement direct en production à chaque merge sur `dev`
+n'est pas défendable.
+
+La branche `feat/deploy` tentait de déployer par provisioners Terraform : nginx système et copie
+du build Angular. La revue postée sur #21 relève huit points bloquants, dont des racines `rec`
+et `prod` qui ne passent pas `terraform validate`.
+
+## Décision
+
+**Un projet Docker Compose par environnement, sur la même machine.** Deux clones du dépôt,
+`/srv/enervision/rec` sur `dev` et `/srv/enervision/prod` sur `main`, chacun avec son `.env` et
+son `COMPOSE_PROJECT_NAME`. Le nom de projet préfixe volumes, réseau et conteneurs : les deux
+stacks ne partagent rien.
+
+**Les ports du proxy et l'origine publique deviennent des variables** de
+`docker-compose.prod.yml`. La production garde 80 et 443. La recette publie 8443 et ramène sa
+redirection HTTP sur la boucle locale, faute de quoi elle renverrait vers la production. Base,
+Mailpit et Airflow restent sur `127.0.0.1`, décalés d'un port.
+
+**Deux noms d'hôte**, `enervision.local` et `rec.enervision.local`, sur la même IP. Le cookie de
+rafraîchissement est posé par hôte, pas par port : un seul nom ferait se déconnecter la
+production à chaque connexion en recette.
+
+**Un runner GitHub Actions auto-hébergé sur la VM** exécute `deploy.yml` : un `push` sur `dev`
+déploie la recette, un `push` sur `main` déploie la production après approbation dans
+l'environnement GitHub `prod`. Le job aligne le clone sur la branche puis lance `make stack-up`.
+Les images sont construites sur la machine.
+
+**Les secrets vivent dans le `.env` de chaque dossier**, générés sur la machine par
+`scripts/provision-host.sh`, jamais dans git ni dans GitHub. Le runner n'a besoin d'aucun
+secret.
+
+## Alternatives écartées
+
+- **k3s avec un namespace par environnement** : le cluster serait vide, sans manifeste, sans
+ registre, sans stockage persistant. C'est la cible de `10-infra.md`, pas celle de la semaine.
+- **Provisioners Terraform de `feat/deploy`** : voir la revue sur #21. Terraform reste l'outil
+ de provisionnement de la machine, pas de livraison applicative.
+- **Deux machines**, VM Proxmox et VM Azure ENI : une deuxième infrastructure à justifier devant
+ le jury et à provisionner, pour un bénéfice nul sur la grille.
+- **Un seul proxy frontal routant par nom d'hôte vers les deux stacks** : des URL sans port,
+ mais le proxy devrait joindre deux réseaux Compose où les services portent les mêmes noms.
+ La complexité dépasse le gain.
+- **Images publiées sur GHCR et déployées par digest** : la bonne pratique, remise à plus tard.
+ Un registre à authentifier sur la machine, alors que le runner y construit déjà.
+
+## Conséquences
+
+- 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
+ 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.
+- Les deux environnements construisent leurs images séparément à partir du même commit : ce qui
+ tourne en production a été construit deux fois, pas promu. Le passage à GHCR lèvera cette
+ limite.
+- Le `make stack-up` du runner reconstruit l'image Airflow, qui copie `ml/` et `apps/backend/`,
+ à chaque push : plusieurs minutes par déploiement, acceptable pour la cadence du projet.
+- `environments/prod` de Terraform reste vide. Le provisionnement de la machine est porté par
+ `scripts/provision-host.sh`, que Terraform pourra appeler par `remote-exec` le jour où une
+ racine visant la VM existera.
+- L'image frontend quitte `dhi.io/nginx`, registre authentifié dont personne n'a l'accès, pour
+ `nginx:1.28-alpine`, la même image que le proxy. Elle n'avait jamais été construite.
diff --git a/docs/architecture/00-vue-ensemble.md b/docs/architecture/00-vue-ensemble.md
index 7bdd1da..0539cd0 100644
--- a/docs/architecture/00-vue-ensemble.md
+++ b/docs/architecture/00-vue-ensemble.md
@@ -70,10 +70,11 @@ Le lien `front -.-> api` reste en pointillé : le frontend appelle bien une API,
intercepteur répond à sa place tant que les endpoints n'existent pas. Voir
[30-frontend.md](30-frontend.md).
-Le lien `airflow --> db` est maintenant en trait plein : trois DAGs tournent, deux pour
+Le lien `airflow --> db` est maintenant en trait plein : quatre DAGs tournent, deux pour
l'entraînement et le scoring du modèle ML (issue #115), un pour la détection d'alertes et la
-génération des recommandations (issue #116), cf. plus bas et [20-backend.md](20-backend.md). Le
-reste du périmètre Airflow envisagé (ingestion, issues #15/#16) reste en pointillé, non construit.
+génération des recommandations (issue #116), et `historical_import` pour l'ingestion du dataset
+historique (issue #119). L'orchestration de l'import API Mock et la réconciliation globale des
+deux sources restent à compléter dans l'issue #15.
Le lien `prom -.-> api` de même : l'API expose bien `/metrics` au format Prometheus, mais aucun
collecteur ne vient le lire.
@@ -88,8 +89,8 @@ collecteur ne vient le lire.
| ML | LightGBM, MLflow | `ml` | `En cours` | Pipeline d'entraînement et de scoring (`enervision_ml.train`/`.score`, features par lags/moyennes glissantes partagées entre les deux, baseline de persistance saisonnière, suivi MLflow local), exposé en lecture via `GET /predictions`, orchestré par Airflow (`ml_train`/`ml_score`). Voir [ADR 0005](../adr/0005-modele-prediction-lightgbm.md) et [ML-START.md](../ML-START.md). Surveillance de dérive (EC06, #44/#45) pas encore construite |
| Infra | Docker Compose, Nginx, Terraform, k3s single-node | `infra`, `docker-compose.prod.yml` | `En cours` | Reverse proxy et overlay de déploiement écrits et validés, jamais lancés sur le serveur ([ADR 0007](../adr/0007-terminaison-tls-et-reverse-proxy-nginx.md)). Module d'installation k3s jamais appliqué, aucune ressource Kubernetes déclarée |
| Monitoring | Prometheus, Grafana, Alertmanager | `monitoring` | `Cible` | Rien, hors le `/metrics` exposé par l'API |
-| ETL | Apache Airflow | `etl/airflow` | `En cours` | Webserver + scheduler (LocalExecutor) tournent via docker-compose, base de métadonnées Postgres dédiée. Trois DAGs en sous-processus `uv run` : `ml_train` manuel et `ml_score` `@hourly` pour le pipeline ML (issue #115), `alertes` à `15 * * * *` pour la détection et les recommandations (issue #116, [ADR 0008](../adr/0008-airflow-execute-le-code-du-backend.md)). L'ingestion (issues #15/#16) n'a pas encore de DAG |
-| CI/CD | GitHub Actions | `.github/workflows` | `En cours` | 5 workflows, 16 jobs : lint, typage, tests avec seuil de couverture bloquant, tests d'intégration sur TimescaleDB réel, audit de dépendances, SAST Bandit, quality gate SonarCloud, intégrité des DAGs Airflow. Détail dans [50-cicd.md](50-cicd.md). **Aucun job de déploiement** (#21) |
+| ETL | Apache Airflow | `etl/airflow` | `En cours` | Webserver + scheduler (LocalExecutor) tournent via docker-compose, base de métadonnées Postgres dédiée. Quatre DAGs en sous-processus `uv run` : `ml_train`, `ml_score`, `alertes` et `historical_import`. Le DAG historique orchestre `app.etl.historical_import` et charge `dataset`, `site` et `reading`. L'orchestration API Mock reste à compléter dans #15 |
+| CI/CD | GitHub Actions | `.github/workflows` | `En cours` | 6 workflows, 18 jobs : lint, typage, tests avec seuil de couverture bloquant, tests d'intégration sur TimescaleDB réel, audit de dépendances, SAST Bandit, quality gate SonarCloud, intégrité des DAGs Airflow. Déploiement continu vers la VM ENI écrit par `deploy.yml`, `dev` en recette et `main` en production après approbation ([ADR 0009](../adr/0009-deux-environnements-compose-sur-la-vm-eni.md)), mais jamais exécuté : la machine n'est pas provisionnée et le runner n'y est pas enregistré. Détail dans [50-cicd.md](50-cicd.md) |
## Flux bout en bout
@@ -186,3 +187,5 @@ Elles vivent dans `../adr/`, pas ici.
| [0005](../adr/0005-modele-prediction-lightgbm.md) | Modèle de prédiction de consommation : LightGBM |
| [0006](../adr/0006-moteur-de-regles-dans-le-backend.md) | Le moteur de règles de recommandation vit dans le backend, pas dans `ml/` |
| [0007](../adr/0007-terminaison-tls-et-reverse-proxy-nginx.md) | Terminaison TLS par un reverse proxy Nginx, en Docker Compose |
+| [0008](../adr/0008-airflow-execute-le-code-du-backend.md) | Airflow exécute le code du backend en sous-processus, dans son propre environnement |
+| [0009](../adr/0009-deux-environnements-compose-sur-la-vm-eni.md) | Deux environnements sur la VM ENI, un projet Compose chacun, déployés par un runner auto-hébergé |
diff --git a/docs/architecture/10-infra.md b/docs/architecture/10-infra.md
index c6121e7..2bde800 100644
--- a/docs/architecture/10-infra.md
+++ b/docs/architecture/10-infra.md
@@ -7,6 +7,7 @@ quel contexte, quelles décisions sont arrêtées, et ce qui manque encore entre
|---|---|---|
| Docker Compose | Développer et recetter sur le poste | `Fait` |
| Docker Compose plus reverse proxy | Déployer sur la machine on-premise | `Fait` |
+| Deux projets Compose sur la VM ENI, recette et production | Déploiement continu depuis GitHub | `En cours` |
| k3s single-node | Cible à terme | `En cours` |
## Poste de développement
@@ -48,20 +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 et #116)
+### 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-webserver` | UI, port `8080` | `LocalExecutor` : n'exécute aucune tâche lui-même |
+| `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-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
@@ -75,6 +84,12 @@ l'[ADR 0008](../adr/0008-airflow-execute-le-code-du-backend.md).
| `ml_train` | manuelle | `enervision_ml.train`, dans `/opt/ml/.venv` |
| `ml_score` | `0 * * * *` | `enervision_ml.score`, dans `/opt/ml/.venv` |
| `alertes` | `15 * * * *` | `app.detection.internal_alerts` puis `app.cli generate-recommendations`, dans `/opt/backend/.venv` |
+| `historical_import` | manuelle | `app.etl.historical_import`, dans `/opt/backend/.venv` ; les fichiers de `data/raw` sont montés en lecture seule dans `/opt/data/raw` |
+
+Le DAG `historical_import` réutilise le pipeline historique existant sans dupliquer sa logique.
+Il reste manuel, car le dataset sert à initialiser l'environnement. Le montage
+`./data/raw:/opt/data/raw:ro` permet au scheduler de lire les fichiers CSV/JSON sans pouvoir les
+modifier.
**Pourquoi `alertes` tourne à la quinzième minute.** Sa règle `anomaly` compare une lecture à la
`prediction` du même instant, que `ml_score` écrit à l'heure pile. Le décalage laisse le scoring
@@ -95,14 +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_APP_SECRET_KEY` vides).
+`airflow-init` qui refuse de démarrer (clé Fernet, clé de session de l'API, secret JWT, mot de
+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
@@ -169,6 +184,31 @@ Deux conséquences se propagent jusqu'à l'application, et elles ne se devinent
- `APP_TRUST_PROXY_HEADERS` passe à vrai en même temps, sinon la limitation de débit par IP
compte sur l'IP du proxy et devient globale.
+### Deux environnements sur la même machine
+
+Statut : `En cours`, la machine n'étant pas encore provisionnée. Décision et motifs dans
+l'[ADR 0009](../adr/0009-deux-environnements-compose-sur-la-vm-eni.md).
+La VM `eadl-2025-nantes-g3` portera la recette et la production, chacune dans son clone du dépôt,
+son `.env` et son projet Compose. Le nom de projet préfixe volumes, réseau et conteneurs : rien
+n'est partagé. `scripts/provision-host.sh` prépare les deux dossiers, génère les secrets et les
+certificats, et ne démarre rien.
+
+| | Recette | Production |
+|---|---|---|
+| Branche, environnement GitHub | `dev`, `rec` | `main`, `prod` |
+| Dossier, projet Compose | `/srv/enervision/rec`, `enervision-rec` | `/srv/enervision/prod`, `enervision-prod` |
+| URL | `https://rec.enervision.local:8443` | `https://enervision.local` |
+| Proxy HTTP, HTTPS | `127.0.0.1:8081`, `8443` | `80`, `443` |
+| PostgreSQL, Mailpit, Airflow, sur `127.0.0.1` | `5434`, `8026`, `8082` | `5433`, `8025`, `8080` |
+
+Les deux noms d'hôte visent la même IP, à déclarer dans le `/etc/hosts` des postes. Deux noms
+distincts sont nécessaires : le cookie `__Secure-ev_refresh` est posé par hôte, pas par port.
+La redirection HTTP de la recette est ramenée sur la boucle locale parce que la configuration
+Nginx renvoie vers `https://$host` sans port, c'est-à-dire vers la production.
+
+Le déploiement est décrit dans [50-cicd.md](50-cicd.md) : un runner GitHub Actions installé sur
+la VM aligne le dossier sur la branche poussée et lance `make stack-up`.
+
## Cible à terme, k3s
Statut : `En cours`. Le module `infra/terraform/modules/k3s/` installe le cluster. Il n'a jamais
@@ -227,6 +267,9 @@ Ces arbitrages sont pris. Ils ne vivaient jusqu'ici que dans des commentaires de
| Deux racines, `dev` et `prod` | Séparation des états et des variables par environnement | `environments/` |
| Terminaison TLS par un reverse proxy Nginx en Compose | L'ingress k3s supposait un registre et des manifestes qui n'existent pas, à quatre jours du rendu | `docker-compose.prod.yml`, [ADR 0007](../adr/0007-terminaison-tls-et-reverse-proxy-nginx.md) |
| Certificat auto-signé par défaut, chemin ACME câblé | Aucun domaine public ne résout vers la machine : le défi HTTP-01 ne peut pas aboutir | `scripts/tls-selfsigned.sh`, `infra/proxy/acme-deploy-hook.sh` |
+| Un projet Compose par environnement, sur la même machine | Une seule VM, et l'isolation par nom de projet ne demande ni cluster ni registre | `.env` de chaque dossier, [ADR 0009](../adr/0009-deux-environnements-compose-sur-la-vm-eni.md) |
+| Runner GitHub Actions auto-hébergé sur la VM | Les runners hébergés par GitHub ne joignent pas une adresse privée d'école | `.github/workflows/deploy.yml` |
+| Secrets dans le `.env` de chaque environnement, sur la machine | Ni dans git, ni dans GitHub : le runner n'a rien à recevoir | `scripts/provision-host.sh` |
## Ports et noms
@@ -237,12 +280,12 @@ Ces arbitrages sont pris. Ils ne vivaient jusqu'ici que dans des commentaires de
| API | `8000` | Identique en conteneur et hors conteneur |
| Frontend, `ng serve` | `4200` | Boucle de développement. Valeur par défaut d'`APP_CORS_ORIGINS` |
| Frontend en conteneur | `3000` | Ce qu'écoute le nginx de l'image, en conteneur comme côté hôte |
-| Reverse proxy | `80` et `443` | Les seuls ports publiés par `docker-compose.prod.yml`. 80 ne sert que la redirection et le défi ACME |
+| Reverse proxy | `80` et `443` | Les seuls ports publiés par `docker-compose.prod.yml`, via `PROXY_HTTP_PORT` et `PROXY_HTTPS_PORT`. 80 ne sert que la redirection et le défi ACME. La recette publie `8443` et `127.0.0.1:8081` |
| SSH du serveur | `22` par défaut | `ssh_port`, redéfinissable |
| 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
diff --git a/docs/architecture/50-cicd.md b/docs/architecture/50-cicd.md
index 8330047..f1555f2 100644
--- a/docs/architecture/50-cicd.md
+++ b/docs/architecture/50-cicd.md
@@ -6,11 +6,15 @@ vérifié, ce qui bloque, et ce qui ne l'est pas.
| Étage | Sert à | Statut |
|---|---|---|
| Intégration continue | Interdire le merge d'un code qui casse la qualité, les tests ou la sécurité | `Fait` |
-| Livraison continue | Porter un artefact vérifié jusqu'à la machine de déploiement | `Cible` |
+| Livraison continue | Déployer chaque branche d'intégration sur son environnement de la VM ENI | `En cours` |
-Le **D** de CI/CD n'existe pas encore : aucun job de déploiement, aucune construction d'image
-publiée, aucun environnement GitHub. L'issue #21 le porte. C'est la limite principale de cet
-étage, et elle est nommée ici plutôt que découverte en soutenance.
+Le **D** de CI/CD est écrit depuis le 21/09 : `deploy.yml` déploie `dev` en recette et `main` en
+production sur la VM de l'école, par un runner auto-hébergé (issue #21,
+[ADR 0009](../adr/0009-deux-environnements-compose-sur-la-vm-eni.md)). Il n'a encore rien
+déployé : la machine n'est pas provisionnée et le runner n'y est pas enregistré. Statut à
+basculer sur `Fait` au premier déploiement vert. Sa limite, nommée ici plutôt que découverte en
+soutenance : les images sont construites sur la machine à chaque déploiement, aucun artefact
+n'est publié puis promu d'un environnement à l'autre.
## Vue d'ensemble
@@ -54,7 +58,12 @@ flowchart TB
push --> mv & ms
push --> av & ab
push --> sb1 & sb2 --> sscan
- sscan -.-> cd["deploy
issue #21"]
+
+ subgraph cd["Déploiement · deploy.yml"]
+ dep["deploy
runner eni-g3, environnement rec ou prod"]
+ end
+
+ push -->|"push sur dev ou main"| dep
```
## Déclenchement
@@ -81,9 +90,50 @@ 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
-ne supporte pas encore 3.14. Le 3.14 du module ML ne vit, dans ce contexte, que dans l'image
-Docker et son propre environnement.
+**Piège de version** : `etl/airflow` tourne en **Python 3.12** et non 3.14 : c'est l'interpréteur
+de l'image `apache/airflow:3.3.2-python3.12` retenue, et les tests d'intégrité doivent tourner sur
+le même. Le 3.14 du module ML ne vit, dans ce contexte, que dans l'image Docker et son propre
+environnement.
+
+## Déploiement
+
+`deploy.yml` est le sixième workflow, et le seul qui ne tourne pas chez GitHub : il s'exécute sur
+un runner auto-hébergé installé sur la VM ENI, label `eni-g3`, parce que les runners hébergés ne
+joignent pas une adresse privée d'école. Le runner se connecte en sortie vers GitHub, aucun port
+entrant n'est ouvert.
+
+| Événement | Environnement GitHub | Dossier sur la VM | Garde |
+|---|---|---|---|
+| `push` sur `dev` | `rec` | `/srv/enervision/rec` | aucune : la recette suit `dev` |
+| `push` sur `main` | `prod` | `/srv/enervision/prod` | approbation d'un relecteur dans l'environnement `prod`, branche `main` seule autorisée |
+
+Le job aligne le clone sur la branche (`fetch`, `checkout`, `reset --hard`), lance
+`make stack-up`, qui reconstruit les images, redémarre les conteneurs puis applique les
+migrations Alembic dans le conteneur backend, et attend jusqu'à trois minutes que
+`/api/v1/health/ready` réponde derrière le proxy. Cette sonde ne vérifie que la connexion à la
+base et la présence de TimescaleDB : sans la migration, le déploiement serait vert sur une base
+sans schéma, et c'est pourquoi `make stack-up` la porte. Un groupe de concurrence par branche,
+sans annulation, empêche deux déploiements simultanés du même environnement.
+
+Le job ne fait pas de `actions/checkout` dans son espace de travail, et c'est voulu : le dossier
+de l'environnement est stable, hors du runner, parce que `.env`, certificats et volumes doivent
+survivre d'un déploiement à l'autre.
+
+**Piège à connaître.** Un runner auto-hébergé sur un dépôt public exécute ce qu'un workflow lui
+envoie, et une PR de fork peut réécrire un workflow. Trois parades, et les trois sont
+nécessaires : `deploy.yml` ne se déclenche jamais sur `pull_request` ; le runner tourne sous un
+utilisateur dédié membre du groupe `docker`, jamais root ; le dépôt doit exiger une approbation
+pour les workflows des PR externes (Settings, Actions, « Require approval for all outside
+collaborators »), ce qui reste à activer. Les workflows de CI restent sur `ubuntu-latest`.
+
+Cet utilisateur dédié doit posséder `/srv/enervision` : sinon git refuse les deux clones pour
+propriété douteuse et le `.env` en `600` lui échappe. `PROPRIETAIRE=`
+passé à `scripts/provision-host.sh` fixe ce propriétaire.
+
+La machine se prépare avec `scripts/provision-host.sh`, qui vérifie Docker et Compose 2.24.4 ou
+plus, clone les deux branches, génère les secrets de chaque `.env` et les certificats
+auto-signés, et ne démarre rien. Le détail des deux environnements, ports et noms d'hôte, est
+dans [10-infra.md](10-infra.md).
## Ce qui bloque un merge
@@ -180,12 +230,17 @@ les tests ne se merge pas.
## Secrets
-Un seul secret est consommé par la CI : **`SONAR_TOKEN`**, porté par les dépôts GitHub Actions.
+Un seul secret est consommé côté GitHub : **`SONAR_TOKEN`**, porté par les secrets du dépôt.
Les identifiants de la base du job d'intégration sont des valeurs de test en clair dans le
workflow, ce qui est volontaire : elles ne protègent rien, la base est créée et détruite avec le
-run. Aucune clé de déploiement n'existe encore, puisqu'il n'y a pas de déploiement : le job de
-déploiement est porté par l'issue #21, les secrets qu'il consommera et leur injection par
-l'issue #22.
+run.
+
+Le déploiement ne consomme **aucun secret GitHub** (issue #22). Les secrets de chaque
+environnement, mots de passe PostgreSQL et Airflow, clés de signature, clé Fernet, vivent dans le
+`.env` de son dossier sur la VM, en `600`, générés sur la machine par `scripts/provision-host.sh`.
+Ils ne transitent ni par git ni par GitHub, et le runner, qui travaille dans ce dossier, n'a rien
+à recevoir. Le revers : ils ne sont sauvegardés nulle part ailleurs. Un `.env` perdu se
+régénère, ce qui invalide les sessions et les connexions chiffrées par Airflow.
## Scan DAST (OWASP ZAP)
@@ -253,7 +308,7 @@ second passage sur la stack complète reste à faire.
| Manque | Issue | Conséquence assumée |
|---|---|---|
-| Job de déploiement (CD) | #21 | La chaîne s'arrête au merge. Rien ne part vers une machine |
+| Images publiées et promues par digest (GHCR) | aucune | Chaque environnement reconstruit ses images : la production n'exécute pas l'artefact validé en recette, mais un second build du même commit |
| DAST bloquant | #41 | Le scan ZAP existe mais ne bloque rien : aucun seuil n'est fixé tant que les alertes du premier passage ne sont pas triées |
| Tests end to end | #46 | Les parcours utilisateur ne sont pas vérifiés en CI |
| Tests de charge | #47 | Aucun garde-fou de performance |
diff --git a/etl/README.md b/etl/README.md
index 698ffca..d789d6b 100644
--- a/etl/README.md
+++ b/etl/README.md
@@ -663,8 +663,16 @@ mock_api_import.py
La logique d'extraction, de transformation et de chargement est donc disponible pour les deux sources de données du MVP.
-Airflow tourne désormais réellement (`etl/airflow/`, `make airflow-up`) et orchestre le pipeline ML (`ml_train`/`ml_score`, issue #115) ainsi que la détection d'alertes et la génération des recommandations (`alertes`, issue #116). Il n'orchestre pas encore ces deux imports : `historical_import.py` et `mock_api_import.py` (normalisation et chargement micro-batch, issues #15/#16) restent à faire.
+Airflow tourne désormais réellement (`etl/airflow/`, `make airflow-up`) et orchestre le pipeline
+ML (`ml_train`/`ml_score`, issue #115), la détection d'alertes et la génération des
+recommandations (`alertes`, issue #116), ainsi que l'import historique
+(`historical_import`, issue #119).
-Airflow permet de planifier les traitements, gérer leur ordre d'exécution, suivre leur état et remonter les erreurs. Il ne remplace pas la logique ETL Python existante : les scripts actuels restent responsables de l'extraction, de la validation, de la transformation et du chargement. `etl/airflow/dags/ml_train.py`, `ml_score.py` et `alertes.py` montrent le patron retenu (des `BashOperator` qui invoquent le script tel quel, dans l'environnement `uv` que l'image embarque pour lui).
+Le DAG `historical_import` est déclenché manuellement. Il exécute
+`app.etl.historical_import` avec les fichiers montés en lecture seule depuis `data/raw` vers
+`/opt/data/raw`. L'orchestration de l'import API Mock et la réconciliation globale des deux
+sources restent couvertes par l'issue #15.
+
+Airflow permet de planifier les traitements, gérer leur ordre d'exécution, suivre leur état et remonter les erreurs. Il ne remplace pas la logique ETL Python existante : les scripts actuels restent responsables de l'extraction, de la validation, de la transformation et du chargement. `etl/airflow/dags/ml_train.py`, `ml_score.py` et `alertes.py` et `historical_import.py` montrent le patron retenu (des `BashOperator` qui invoquent le script tel quel, dans l'environnement `uv` que l'image embarque pour lui).
Le pipeline Data servira ensuite à préparer les données nécessaires au modèle de Machine Learning.
diff --git a/etl/airflow/Dockerfile b/etl/airflow/Dockerfile
index b934588..4212839 100644
--- a/etl/airflow/Dockerfile
+++ b/etl/airflow/Dockerfile
@@ -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
-# pas 3.14), pour que les DAGs puissent lancer `uv run python -m enervision_ml.train`/`.score`,
+# 3.14, distincts du Python 3.12 de l'image de base qui fait tourner Airflow lui-meme, pour que
+# 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
-# `ml/uv.lock`. On le remplace par la version deja pinnee ailleurs dans le depot
-# (apps/backend/Dockerfile).
+# L'image de base embarque deja un `uv`, mais pas celui que le depot epingle par ailleurs
+# (apps/backend/Dockerfile) : on aligne, pour que le format de verrou lu soit le meme partout.
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`
diff --git a/etl/airflow/dags/alertes.py b/etl/airflow/dags/alertes.py
index 4c043d2..e2f0587 100644
--- a/etl/airflow/dags/alertes.py
+++ b/etl/airflow/dags/alertes.py
@@ -15,8 +15,8 @@ from __future__ import annotations
from datetime import datetime, timedelta
-from airflow.models.dag import DAG
-from airflow.operators.bash import BashOperator
+from airflow.providers.standard.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.
diff --git a/etl/airflow/dags/historical_import.py b/etl/airflow/dags/historical_import.py
new file mode 100644
index 0000000..30d1a15
--- /dev/null
+++ b/etl/airflow/dags/historical_import.py
@@ -0,0 +1,45 @@
+"""DAG d'import du dataset historique EnerVision (issue #119).
+
+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 backend est exécuté dans l'environnement `/opt/backend` embarqué dans l'image Airflow,
+sur le même patron que le DAG `alertes` (ADR 0008).
+"""
+
+from __future__ import annotations
+
+from datetime import datetime, timedelta
+
+from airflow.providers.standard.operators.bash import BashOperator
+from airflow.sdk import DAG
+
+COMMANDE_BACKEND = "cd /opt/backend && env -u VIRTUAL_ENV uv run --no-sync python -m"
+
+CSV_PATH = "/opt/data/raw/all_sites_combined.csv"
+METADATA_PATH = "/opt/data/raw/dataset_metadata.json"
+SOURCE_TIMEZONE = "UTC"
+BATCH_SIZE = 1000
+
+with DAG(
+ dag_id="historical_import",
+ description="Importe le dataset historique CSV/JSON dans dataset, site et reading.",
+ schedule=None,
+ start_date=datetime(2026, 1, 1),
+ catchup=False,
+ max_active_runs=1,
+ tags=["etl", "historical"],
+) as dag:
+ BashOperator(
+ task_id="import_historical",
+ bash_command=(
+ f"{COMMANDE_BACKEND} app.etl.historical_import "
+ f"--csv {CSV_PATH} "
+ f"--metadata {METADATA_PATH} "
+ "--source-timezone UTC "
+ "--batch-size 1000"
+ ),
+ retries=1,
+ retry_delay=timedelta(minutes=2),
+ execution_timeout=timedelta(minutes=30),
+ )
diff --git a/etl/airflow/dags/ml_score.py b/etl/airflow/dags/ml_score.py
index 8d6cfeb..30d0ee7 100644
--- a/etl/airflow/dags/ml_score.py
+++ b/etl/airflow/dags/ml_score.py
@@ -10,8 +10,8 @@ from __future__ import annotations
from datetime import datetime, timedelta
-from airflow.models.dag import DAG
-from airflow.operators.bash import BashOperator
+from airflow.providers.standard.operators.bash import BashOperator
+from airflow.sdk import DAG
MODEL_PATH = "/opt/ml/state/models/lightgbm-consumption.txt"
diff --git a/etl/airflow/dags/ml_train.py b/etl/airflow/dags/ml_train.py
index d866480..132aacd 100644
--- a/etl/airflow/dags/ml_train.py
+++ b/etl/airflow/dags/ml_train.py
@@ -11,8 +11,8 @@ from __future__ import annotations
from datetime import datetime, timedelta
-from airflow.models.dag import DAG
-from airflow.operators.bash import BashOperator
+from airflow.providers.standard.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"
diff --git a/etl/airflow/pyproject.toml b/etl/airflow/pyproject.toml
index a792f9f..b3df80d 100644
--- a/etl/airflow/pyproject.toml
+++ b/etl/airflow/pyproject.toml
@@ -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]
diff --git a/etl/airflow/tests/test_dags.py b/etl/airflow/tests/test_dags.py
index 555849d..60978b5 100644
--- a/etl/airflow/tests/test_dags.py
+++ b/etl/airflow/tests/test_dags.py
@@ -5,23 +5,24 @@ from datetime import timedelta
from pathlib import Path
import pytest
-from airflow.models.baseoperator import BaseOperator
-from airflow.models.dagbag import DagBag
+from airflow.dag_processing.dagbag import DagBag
+from airflow.sdk import BaseOperator
DAGS_FOLDER = Path(__file__).resolve().parent.parent / "dags"
-DAG_IDS = ["ml_train", "ml_score", "alertes"]
+DAG_IDS = ["ml_train", "ml_score", "alertes", "historical_import"]
TACHES = [
("ml_train", "train"),
("ml_score", "score"),
("alertes", "detection"),
("alertes", "recommandations"),
+ ("historical_import", "import_historical"),
]
@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:
@@ -33,18 +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.
- assert dagbag.dags["ml_score"].timetable.summary == "0 * * * *"
+ # `@hourly` est un alias Airflow pour ce cron, c'est sous cette forme que la timetable le rend.
+ 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"].schedule is None
def test_ml_train_task_calls_the_training_module(dagbag: DagBag) -> None:
@@ -67,12 +72,29 @@ def test_alertes_recommendation_task_calls_the_backend_cli(dagbag: DagBag) -> No
assert "app.cli generate-recommendations" in tache.bash_command
+def test_historical_import_calls_the_existing_backend_module(dagbag: DagBag) -> None:
+ tache = dagbag.dags["historical_import"].get_task("import_historical")
+ assert "app.etl.historical_import" in tache.bash_command
+
+
+def test_historical_import_uses_the_expected_source_files(dagbag: DagBag) -> None:
+ commande = dagbag.dags["historical_import"].get_task("import_historical").bash_command
+
+ assert "--csv /opt/data/raw/all_sites_combined.csv" in commande
+ assert "--metadata /opt/data/raw/dataset_metadata.json" in commande
+
+
@pytest.mark.parametrize("task_id", ["detection", "recommandations"])
def test_alertes_tasks_run_in_the_backend_environment(dagbag: DagBag, task_id: str) -> None:
# Le backend a son propre venv dans l'image, distinct de celui de ml/ (ADR 0008).
assert "/opt/backend" in dagbag.dags["alertes"].get_task(task_id).bash_command
+def test_historical_import_runs_in_the_backend_environment(dagbag: DagBag) -> None:
+ commande = dagbag.dags["historical_import"].get_task("import_historical").bash_command
+ assert "/opt/backend" in commande
+
+
def test_alertes_generates_recommendations_after_detecting(dagbag: DagBag) -> None:
# `recommendation.alert_id` est une cle etrangere `NOT NULL` : la generation n'a rien a lire
# tant que la detection n'a pas ecrit.
@@ -133,6 +155,10 @@ def test_alertes_retries_after_a_transient_failure(dagbag: DagBag, task_id: str)
assert dagbag.dags["alertes"].get_task(task_id).retries >= 1
+def test_historical_import_retries_after_a_transient_failure(dagbag: DagBag) -> None:
+ assert dagbag.dags["historical_import"].get_task("import_historical").retries >= 1
+
+
@pytest.mark.parametrize(("dag_id", "task_id"), TACHES)
def test_tasks_never_resync_the_baked_environment(
dagbag: DagBag, dag_id: str, task_id: str
diff --git a/etl/airflow/uv.lock b/etl/airflow/uv.lock
index 0fd3a71..fbfc7c0 100644
--- a/etl/airflow/uv.lock
+++ b/etl/airflow/uv.lock
@@ -3,61 +3,12 @@ revision = 3
requires-python = "==3.12.*"
[[package]]
-name = "aiohappyeyeballs"
-version = "2.7.1"
+name = "a2wsgi"
+version = "1.10.10"
source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ce/f4/eec0465c2f67b2664688d0240b3212d5196fd89e741df67ddb81f8d35658/aiohappyeyeballs-2.7.1.tar.gz", hash = "sha256:065665c041c42a5938ed220bdcd7230f22527fbec085e1853d2402c8a3615d9d", size = 24757, upload-time = "2026-07-01T17:11:55.501Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/cb/822c56fbea97e9eee201a2e434a80437f6750ebcb1ed307ee3a0a7505b14/a2wsgi-1.10.10.tar.gz", hash = "sha256:a5bcffb52081ba39df0d5e9a884fc6f819d92e3a42389343ba77cbf809fe1f45", size = 18799, upload-time = "2025-06-18T09:00:10.843Z" }
wheels = [
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diff --git a/infra/proxy/README.md b/infra/proxy/README.md
index 558e8b9..031664a 100644
--- a/infra/proxy/README.md
+++ b/infra/proxy/README.md
@@ -9,12 +9,18 @@ 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
ou plus récent**. Sur une version antérieure, la fusion échoue au lieu de dépublier les ports.
+Les ports publiés sont `PROXY_HTTP_PORT` et `PROXY_HTTPS_PORT`, 80 et 443 par défaut. Quand deux
+environnements partagent la machine ([ADR 0009](../../docs/adr/0009-deux-environnements-compose-sur-la-vm-eni.md)),
+la recette publie `8443` et ramène son port 80 sur `127.0.0.1:8081` : la redirection ci-dessous
+renvoie vers `https://$host` sans port, donc vers la production. `PUBLIC_ORIGIN` porte alors
+l'origine avec son port pour le CORS et le lien de réinitialisation.
+
## Routage
| Chemin | Destination | Remarque |
@@ -82,7 +88,7 @@ docker run --rm \
-v "$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.
diff --git a/scripts/provision-host.sh b/scripts/provision-host.sh
new file mode 100755
index 0000000..0f3d4e1
--- /dev/null
+++ b/scripts/provision-host.sh
@@ -0,0 +1,103 @@
+#!/usr/bin/env bash
+# Pourquoi : la machine porte deux environnements, chacun un clone du dépôt, un `.env` et un
+# projet Compose (ADR 0009). Ce script prépare la machine et les deux dossiers sans rien
+# démarrer : construction des images et démarrage restent à l'opérateur, puis au runner GitHub.
+# Rejouable : un dossier déjà cloné est réaligné sur sa branche, un `.env` existant n'est jamais
+# réécrit, un certificat présent n'est jamais régénéré.
+
+set -euo pipefail
+
+DEPOT="${REPO_URL:-https://github.com/ineszang/ProjetPiscine_EnerVision.git}"
+RACINE="${RACINE:-/srv/enervision}"
+ADRESSE="${PUBLIC_IP:-$(hostname -I | awk '{print $1}')}"
+PROPRIETAIRE="${PROPRIETAIRE:-${SUDO_USER:-}}"
+COMPOSE_MINIMALE="2.24.4"
+
+erreur() { echo "erreur : $*" >&2; exit 1; }
+secret() { openssl rand -base64 48 | tr -d '/+=\n' | cut -c1-48; }
+# Clé Fernet : 32 octets en base64 urlsafe, padding compris.
+fernet() { openssl rand -base64 32 | tr '+/' '-_'; }
+
+verifier_outils() {
+ for outil in git make openssl curl; do
+ command -v "$outil" >/dev/null || erreur "$outil absent (apt-get install $outil)"
+ done
+ command -v docker >/dev/null || erreur "Docker absent : https://docs.docker.com/engine/install/debian/"
+ docker info >/dev/null 2>&1 || erreur "le démon Docker ne répond pas, ou l'utilisateur n'est pas dans le groupe docker"
+ local version
+ version="$(docker compose version --short 2>/dev/null || true)"
+ [[ -n "$version" ]] || erreur "plugin docker compose absent (paquet docker-compose-plugin)"
+ [[ "$(printf '%s\n%s\n' "$COMPOSE_MINIMALE" "${version#v}" | sort -V | head -1)" == "$COMPOSE_MINIMALE" ]] \
+ || erreur "docker compose $version trop ancien : $COMPOSE_MINIMALE requis pour !override et !reset"
+ curl -fsSI --max-time 10 https://github.com >/dev/null || erreur "pas de sortie HTTPS vers github.com"
+ echo "docker compose $version, sortie Internet : ok"
+}
+
+preparer() {
+ local env="$1" branche="$2" hote="$3" origine="$4"
+ local port_https="$5" port_http="$6" port_pg="$7" port_mailpit="$8" port_airflow="$9"
+ local dossier="$RACINE/$env"
+
+ if [[ -d "$dossier/.git" ]]; then
+ git -C "$dossier" fetch --quiet origin "$branche"
+ git -C "$dossier" checkout --quiet "$branche"
+ git -C "$dossier" reset --quiet --hard "origin/$branche"
+ else
+ git clone --quiet --branch "$branche" "$DEPOT" "$dossier"
+ fi
+
+ if [[ ! -f "$dossier/.env" ]]; then
+ 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=$(secret)|" \
+ -e "s|^AIRFLOW_ADMIN_PASSWORD=.*|AIRFLOW_ADMIN_PASSWORD=$(secret | cut -c1-20)|" \
+ -e "s|^AIRFLOW_APP_SECRET_KEY=.*|AIRFLOW_APP_SECRET_KEY=$(secret)|" \
+ -e "s|^PUBLIC_HOST=.*|PUBLIC_HOST=$hote|" \
+ -e "s|^PUBLIC_ORIGIN=.*|PUBLIC_ORIGIN=$origine|" \
+ -e "s|^COMPOSE_PROJECT_NAME=.*|COMPOSE_PROJECT_NAME=enervision-$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"
+ # 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"
+ done
+ chmod 600 "$dossier/.env"
+ echo "$env : .env généré. Reste à renseigner APP_MOCK_API_USERNAME et APP_MOCK_API_PASSWORD."
+ fi
+
+ if [[ ! -f "$dossier/infra/proxy/tls/fullchain.pem" ]]; then
+ (cd "$dossier" && PUBLIC_HOST="$hote" PUBLIC_IP="$ADRESSE" ./scripts/tls-selfsigned.sh)
+ fi
+ echo "$env : $dossier sur $branche, $origine"
+}
+
+verifier_outils
+mkdir -p "$RACINE"
+
+# env branche hôte origine https http pg mailpit airflow
+preparer prod main enervision.local https://enervision.local 443 80 5433 8025 8080
+preparer rec dev rec.enervision.local https://rec.enervision.local:8443 8443 127.0.0.1:8081 5434 8026 8082
+
+if [[ -n "$PROPRIETAIRE" && "$(id -u)" -eq 0 ]]; then
+ chown -R "$PROPRIETAIRE" "$RACINE"
+fi
+
+cat <
+Le runner GitHub Actions (label eni-g3) rejouera le déploiement à chaque push sur dev et main.
+L'installer sous le propriétaire de $RACINE, sinon git refuse ces dépôts et le .env en 600 lui
+échappe : relancer au besoin ce script avec PROPRIETAIRE=.
+Données historiques : git ne porte pas data/raw, déposer les fichiers dans chaque dossier avant
+de déclencher le DAG historical_import.
+Depuis un poste : ajouter « $ADRESSE enervision.local rec.enervision.local » à /etc/hosts.
+FIN