diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 0000000..ecebb0d --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,40 @@ +version: 2 +updates: + # Frontend — npm + - package-ecosystem: "npm" + directory: "/apps/frontend" + schedule: + interval: "weekly" + open-pull-requests-limit: 5 + groups: + frontend-dependencies: + patterns: + - "*" + + # Backend — uv (lit pyproject.toml / uv.lock) + - package-ecosystem: "uv" + directory: "/apps/backend" + schedule: + interval: "weekly" + open-pull-requests-limit: 5 + groups: + backend-dependencies: + patterns: + - "*" + + # Les workflows GitHub Actions eux-mêmes ont aussi des dépendances à jour + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "weekly" + + # Si un Dockerfile existe pour le backend + - package-ecosystem: "docker" + directory: "/apps/backend" + schedule: + interval: "weekly" + + - package-ecosystem: "docker" + directory: "/apps/frontend" + schedule: + interval: "weekly" diff --git a/.github/workflows/ml.yml b/.github/workflows/ml.yml new file mode 100644 index 0000000..b85fec7 --- /dev/null +++ b/.github/workflows/ml.yml @@ -0,0 +1,59 @@ +name: ML + +# Piège : la version de Python vient de ml/.python-version, et doit rester en 3.14 (cf. +# .github/workflows/backend.yml, même contrainte). + +on: + push: + paths: + - "ml/**" + - ".github/workflows/ml.yml" + pull_request: + paths: + - "ml/**" + - ".github/workflows/ml.yml" + +permissions: + contents: read + +concurrency: + group: ml-${{ github.ref }} + cancel-in-progress: true + +jobs: + verification: + name: Lint, typage et tests + runs-on: ubuntu-latest + defaults: + run: + working-directory: ml + + steps: + - name: Récupère le dépôt + uses: actions/checkout@v4 + + - name: Installe uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + cache-dependency-glob: ml/uv.lock + + - name: Installe l'interpréteur déclaré par .python-version + run: uv python install + + - name: Synchronise les dépendances sans dévier du verrou + run: uv sync --all-groups --frozen + + - name: Vérifie le formatage + run: uv run ruff format --check . + + - name: Analyse statique + run: uv run ruff check --output-format=github . + + - name: Typage + run: uv run mypy enervision_ml tests + + # Aucun test ne touche PostgreSQL ni MLflow distant : tout tourne sur donnees + # synthetiques ou un magasin SQLite local jetable (cf. ml/tests/test_train.py). + - name: Tests + run: uv run pytest diff --git a/.gitignore b/.gitignore index bb3dca3..47574d1 100644 --- a/.gitignore +++ b/.gitignore @@ -52,11 +52,20 @@ standalone_admin_password.txt secrets/ # Donnees locales -data/ +data/raw/* +!data/raw/.gitkeep *.sqlite3 monitoring/grafana/data/ monitoring/prometheus/data/ +# ML : jeu de donnees, modeles entraines et suivi MLflow local, tous generes/volumineux +ml/data/ +ml/models/* +!ml/models/.gitkeep +ml/mlruns/ +ml/mlartifacts/ +ml/mlflow.db + # IDE et OS .idea/ .vscode/ diff --git a/Makefile b/Makefile index ef7a692..0bb1dcb 100644 --- a/Makefile +++ b/Makefile @@ -1,15 +1,17 @@ BACKEND := apps/backend FRONTEND := apps/frontend +ML := ml .DEFAULT_GOAL := help -.PHONY: help install install-backend install-frontend dev dev-backend dev-frontend \ +.PHONY: help install install-backend install-frontend install-ml dev dev-backend dev-frontend \ lint format typecheck test test-cov test-integration check \ - openapi docker-build db-up db-down db-reset db-logs db-psql migrate bootstrap-admin + openapi docker-build db-up db-down db-reset db-logs db-psql migrate bootstrap-admin \ + ml-lint ml-typecheck ml-test ml-check ml-train help: ## Liste les cibles disponibles @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-16s\033[0m %s\n", $$1, $$2}' -install: install-backend install-frontend ## Installe les dépendances backend et frontend +install: install-backend install-frontend install-ml ## Installe les dépendances backend, frontend et ML install-backend: ## Installe les dépendances du backend cd $(BACKEND) && uv sync --all-groups @@ -17,6 +19,9 @@ install-backend: ## Installe les dépendances du backend install-frontend: ## Installe les dépendances du frontend cd $(FRONTEND) && npm ci +install-ml: ## Installe les dépendances du pipeline ML + cd $(ML) && uv sync --all-groups + dev: ## Lance toute la stack (backend + frontend) en rechargement à chaud @trap 'kill 0' EXIT INT TERM; \ $(MAKE) --no-print-directory dev-backend & \ @@ -55,6 +60,20 @@ check: lint typecheck test ## Chaîne de vérification complète openapi: ## Régénère apps/backend/openapi.json depuis les routes déclarées cd $(BACKEND) && uv run python -m app.cli export-openapi +ml-lint: ## Analyse statique du pipeline ML + cd $(ML) && uv run ruff check . + +ml-typecheck: ## Vérifie le typage du pipeline ML + cd $(ML) && uv run mypy enervision_ml tests + +ml-test: ## Exécute les tests du pipeline ML (donnees synthetiques, sans base ni serveur MLflow) + cd $(ML) && uv run pytest + +ml-check: ml-lint ml-typecheck ml-test ## Chaîne de vérification complète du pipeline ML + +ml-train: ## Entraine le modele LightGBM. CSV=chemin optionnel, sinon lit ML_DATABASE_URL + cd $(ML) && uv run python -m enervision_ml.train $(if $(CSV),--csv $(CSV),) + docker-build: ## Construit l'image du backend docker build -t enervision-backend:local $(BACKEND) diff --git a/README.md b/README.md index 27affce..33426fb 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ Ce que la documentation apporte à chacun : [docs/architecture/00-vue-ensemble.m | Infra | Terraform (k3s single-node) | `infra/terraform` | Initialise | | CI/CD | GitHub Actions | `.github/workflows` | Backend en place | | Monitoring | Prometheus, Grafana, Alertmanager | `monitoring` | A initialiser | +| ML | LightGBM, MLflow | `ml` | Entrainement initialise | 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 @@ -53,6 +54,7 @@ L'etat detaille de chaque brique et les vues d'architecture sont dans ├── infra/terraform/ │ ├── modules/ Modules reutilisables │ └── environments/ Racines Terraform, une par environnement +├── ml/ Pipeline d'entrainement LightGBM, suivi MLflow ├── monitoring/ │ ├── prometheus/ Collecte et regles d'alerte │ ├── grafana/ Provisioning et dashboards diff --git a/apps/backend/.env.example b/apps/backend/.env.example index f36551e..8dff67f 100644 --- a/apps/backend/.env.example +++ b/apps/backend/.env.example @@ -8,3 +8,13 @@ APP_SECRET_KEY=change_me APP_CORS_ORIGINS=http://localhost:4200 DATABASE_URL=postgresql+asyncpg://enervision:change_me@localhost:5433/enervision + +# Mot de passe oublié : lien à usage unique valable 15 minutes par défaut. +APP_FRONTEND_RESET_PASSWORD_URL=http://localhost:4200/reset-password + +# SMTP local de dev (Mailpit, cf. docker-compose.yml) : aucune authentification, aucun TLS. +# À remplacer par un vrai relais en staging/prod. +APP_SMTP_HOST=localhost +APP_SMTP_PORT=1025 +APP_SMTP_USE_TLS=false +APP_SMTP_FROM_ADDRESS=no-reply@enervision.fr diff --git a/apps/backend/README.md b/apps/backend/README.md index 91f9608..6c48b3a 100644 --- a/apps/backend/README.md +++ b/apps/backend/README.md @@ -103,6 +103,8 @@ Le sens de dependance est unique : `endpoints` vers `services` vers `repositorie | `/api/v1/auth/logout` | Ferme la session courante | cookie, idempotente | | `/api/v1/auth/logout-all` | Ferme toutes les sessions du compte | jeton | | `/api/v1/auth/password` | Change son propre mot de passe | jeton | +| `/api/v1/auth/forgot-password` | Demande un lien de réinitialisation par email | public | +| `/api/v1/auth/reset-password` | Choisit un nouveau mot de passe depuis ce lien | public | | `/api/v1/auth/me` | Décrit le compte connecté | jeton | | `/api/v1/users` | Liste et crée des comptes | `admin` | | `/api/v1/users/{id}` | Change le rôle ou l'activation | `admin` | diff --git a/apps/backend/alembic/versions/c0adab96238c_jetons_de_reinitialisation.py b/apps/backend/alembic/versions/c0adab96238c_jetons_de_reinitialisation.py new file mode 100644 index 0000000..7f75d21 --- /dev/null +++ b/apps/backend/alembic/versions/c0adab96238c_jetons_de_reinitialisation.py @@ -0,0 +1,96 @@ +"""jetons et tentatives de reinitialisation de mot de passe + +Revision ID: c0adab96238c +Revises: e6d2026091501 +Create Date: 2026-09-17 10:37:12.571314 + +Meme schema que `refresh_token` pour `password_reset_token` : seule l'empreinte SHA-256 du +jeton est stockee, jamais le jeton lui-meme, pour la meme raison (revocation en cascade, +aucune session utilisable dans un pg_dump qui fuiterait). + +`password_reset_attempt` vit hors de `audit_log`, comme `login_attempt`, car son volume est +pilote par l'attaquant : une campagne de demandes y ecrirait des lignes que l'audit, en ajout +seul, ne devrait jamais purger. +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +revision: str = "c0adab96238c" +down_revision: str | Sequence[str] | None = "e6d2026091501" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + +JETONS_VIVANTS = "consumed_at is null" + + +def upgrade() -> None: + op.create_table( + "password_reset_attempt", + sa.Column("id", sa.BigInteger(), sa.Identity(always=True), nullable=False), + sa.Column( + "occurred_at", + sa.DateTime(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), + sa.Column("email_tried", sa.String(length=320), nullable=False), + sa.Column("client_ip", postgresql.INET(), nullable=True), + sa.PrimaryKeyConstraint("id", name="pk_password_reset_attempt"), + ) + op.create_index( + "ix_password_reset_attempt_email_date", + "password_reset_attempt", + ["email_tried", "occurred_at"], + ) + op.create_index( + "ix_password_reset_attempt_ip_date", "password_reset_attempt", ["client_ip", "occurred_at"] + ) + + op.create_table( + "password_reset_token", + sa.Column("id", sa.UUID(), server_default=sa.text("gen_random_uuid()"), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("token_hash", sa.LargeBinary(), nullable=False), + sa.Column( + "issued_at", + sa.DateTime(timezone=True), + server_default=sa.text("now()"), + nullable=False, + ), + sa.Column("expires_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("consumed_at", sa.DateTime(timezone=True), nullable=True), + sa.Column("client_ip", postgresql.INET(), nullable=True), + sa.Column("user_agent", sa.Text(), nullable=True), + sa.ForeignKeyConstraint( + ["user_id"], + ["app_user.id"], + name="fk_password_reset_token_user", + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("id", name="pk_password_reset_token"), + sa.UniqueConstraint("token_hash", name="uq_password_reset_token_hash"), + ) + op.create_index("ix_password_reset_token_user", "password_reset_token", ["user_id"]) + op.create_index( + "ix_password_reset_token_vivants", + "password_reset_token", + ["user_id"], + postgresql_where=JETONS_VIVANTS, + ) + + +def downgrade() -> None: + op.drop_index( + "ix_password_reset_token_vivants", + table_name="password_reset_token", + postgresql_where=JETONS_VIVANTS, + ) + op.drop_index("ix_password_reset_token_user", table_name="password_reset_token") + op.drop_table("password_reset_token") + op.drop_index("ix_password_reset_attempt_ip_date", table_name="password_reset_attempt") + op.drop_index("ix_password_reset_attempt_email_date", table_name="password_reset_attempt") + op.drop_table("password_reset_attempt") diff --git a/apps/backend/app/api/deps.py b/apps/backend/app/api/deps.py index 5b39098..ae5df24 100644 --- a/apps/backend/app/api/deps.py +++ b/apps/backend/app/api/deps.py @@ -16,6 +16,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.core.config import Settings, get_settings from app.core.hashing import Argon2Hasher, build_hasher +from app.core.mailer import Mailer, SmtpConfig from app.core.principal import Principal from app.core.roles import AccountKind, Role, has_at_least from app.core.security import TokenExpiredError, TokenInvalidError, TokenPolicy @@ -24,13 +25,16 @@ from app.db.session import get_session from app.repositories.alert import AlertRepository from app.repositories.audit_log import AuditLogRepository from app.repositories.login_attempt import LoginAttemptRepository +from app.repositories.password_reset_attempt import PasswordResetAttemptRepository +from app.repositories.password_reset_token import PasswordResetTokenRepository from app.repositories.reading import ReadingRepository from app.repositories.recommendation import RecommendationRepository from app.repositories.refresh_token import RefreshTokenRepository from app.repositories.site import SiteRepository from app.repositories.user import UserRepository from app.services.alert import AlertService -from app.services.auth import AuthService, LoginPolicy +from app.services.auth import AuthService, LoginPolicy, PasswordResetPolicy +from app.services.reading import ReadingService from app.services.recommendation import RecommendationService from app.services.sensor import SensorService from app.services.site import SiteService @@ -97,11 +101,27 @@ def get_client_ip(request: Request, settings: SettingsDep) -> str | None: return request.client.host if request.client else None +def get_mailer(settings: SettingsDep) -> Mailer: + return Mailer( + SmtpConfig( + host=settings.smtp_host, + port=settings.smtp_port, + username=settings.smtp_username, + password=( + settings.smtp_password.get_secret_value() if settings.smtp_password else None + ), + use_tls=settings.smtp_use_tls, + from_address=settings.smtp_from_address, + ) + ) + + def get_auth_service( session: SessionDep, settings: SettingsDep, hasher: Annotated[Argon2Hasher, Depends(get_hasher)], token_policy: Annotated[TokenPolicy, Depends(get_token_policy)], + mailer: Annotated[Mailer, Depends(get_mailer)], ) -> AuthService: return AuthService( users=UserRepository(session), @@ -118,6 +138,16 @@ def get_auth_service( max_failures_per_identifier=settings.login_max_failures_per_identifier, ), refresh_ttl=timedelta(seconds=settings.refresh_token_ttl_seconds), + reset_tokens=PasswordResetTokenRepository(session), + reset_attempts=PasswordResetAttemptRepository(session), + reset_policy=PasswordResetPolicy( + window_seconds=settings.password_reset_window_seconds, + max_requests_per_identifier=settings.password_reset_max_requests_per_identifier, + max_requests_per_ip=settings.password_reset_max_requests_per_ip, + token_ttl=timedelta(seconds=settings.password_reset_ttl_seconds), + frontend_reset_url=settings.frontend_reset_password_url, + ), + mailer=mailer, ) @@ -168,6 +198,13 @@ def get_stats_service(session: SessionDep) -> StatsService: StatsServiceDep = Annotated[StatsService, Depends(get_stats_service)] +def get_reading_service(session: SessionDep) -> ReadingService: + return ReadingService(readings=ReadingRepository(session)) + + +ReadingServiceDep = Annotated[ReadingService, Depends(get_reading_service)] + + def get_sensor_service(session: SessionDep) -> SensorService: return SensorService(sites=SiteRepository(session), readings=ReadingRepository(session)) diff --git a/apps/backend/app/api/openapi.py b/apps/backend/app/api/openapi.py index 85b7775..9937467 100644 --- a/apps/backend/app/api/openapi.py +++ b/apps/backend/app/api/openapi.py @@ -71,6 +71,14 @@ TAGS: Final[list[dict[str, Any]]] = [ "description": "Statistiques agrégées de consommation. Accessible à partir du rôle " "`lecteur`.", }, + { + "name": "readings", + "description": ( + "Historique des lectures de consommation. Fenêtre temporelle plafonnée à 90 jours, " + "24 dernières heures par défaut si `start`/`end` sont omis. Accessible à partir du " + "rôle `lecteur`." + ), + }, { "name": "sensors", "description": "État de santé des capteurs par site. Réservé au rôle `admin`.", @@ -156,3 +164,16 @@ REPONSE_ORIGINE_REFUSEE: Final[Reponses] = { "description": "Origine non autorisée (protection CSRF de `require_trusted_origin`).", }, } + +REPONSE_LIMITE: Final[Reponses] = { + 429: { + "model": ErrorResponse, + "description": "Trop de demandes sur cette fenêtre glissante.", + "headers": { + "Retry-After": { + "description": "Secondes à attendre avant une nouvelle tentative.", + "schema": {"type": "integer"}, + } + }, + }, +} diff --git a/apps/backend/app/api/v1/endpoints/auth.py b/apps/backend/app/api/v1/endpoints/auth.py index 32bf8b2..9fd374f 100644 --- a/apps/backend/app/api/v1/endpoints/auth.py +++ b/apps/backend/app/api/v1/endpoints/auth.py @@ -2,7 +2,7 @@ # d'accès ne va jamais dans un cookie. C'est ce qui réduit la surface CSRF aux trois routes de # ce module : partout ailleurs, le navigateur n'attache rien de lui-même. -from fastapi import APIRouter, Depends, HTTPException, Request, Response, status +from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request, Response, status from app.api.deps import ( AuthServiceDep, @@ -12,6 +12,7 @@ from app.api.deps import ( require_trusted_origin, ) from app.api.openapi import ( + REPONSE_LIMITE, REPONSE_ORIGINE_REFUSEE, REPONSE_VALIDATION, REPONSES_AUTHENTIFIEES, @@ -21,15 +22,19 @@ from app.api.openapi import ( from app.core.cookies import RefreshCookie, cookie_name from app.core.logging import get_logger from app.schemas.auth import ( + ForgotPasswordRequest, LoginRequest, PasswordChangeRequest, PrincipalResponse, + ResetPasswordRequest, + ResetTokenValidationResponse, TokenResponse, ) from app.schemas.errors import ErrorResponse from app.services.auth import ( AuthenticatedSession, InvalidCredentialsError, + InvalidOrExpiredResetTokenError, RateLimitedError, SessionRejectedError, ) @@ -39,6 +44,7 @@ logger = get_logger(__name__) DETAIL_IDENTIFIANTS = "Identifiants invalides" DETAIL_SESSION = "Session invalide" +DETAIL_LIEN_RESET = "Lien invalide ou expiré" REPONSES_LOGIN: Reponses = { **REPONSE_VALIDATION, @@ -85,6 +91,20 @@ REPONSES_MOT_DE_PASSE: Reponses = { }, } +REPONSES_FORGOT_PASSWORD: Reponses = { + **REPONSE_VALIDATION, + **REPONSE_LIMITE, +} + +REPONSES_RESET_PASSWORD: Reponses = { + **REPONSE_VALIDATION, + **REPONSE_ORIGINE_REFUSEE, + 400: { + "model": ErrorResponse, + "description": "Lien invalide, déjà utilisé, ou expiré (durée de vie : 15 minutes).", + }, +} + def repond( response: Response, settings: SettingsDep, session: AuthenticatedSession @@ -267,3 +287,79 @@ async def change_password( logger.info("auth.password_changed user_id=%s", principal.id) return repond(response, settings, session) + + +@router.post( + "/forgot-password", + status_code=status.HTTP_202_ACCEPTED, + summary="Demande un lien de réinitialisation par email", + responses=REPONSES_FORGOT_PASSWORD, +) +async def forgot_password( + payload: ForgotPasswordRequest, + request: Request, + response: Response, + service: AuthServiceDep, + background_tasks: BackgroundTasks, + client_ip: str | None = Depends(get_client_ip), +) -> None: + response.headers["Cache-Control"] = "no-store" + + try: + await service.request_password_reset( + email=payload.email, + client_ip=client_ip, + user_agent=request.headers.get("user-agent"), + background_tasks=background_tasks, + ) + except RateLimitedError as erreur: + logger.warning("auth.password_reset.rate_limited ip=%s", client_ip) + raise HTTPException( + status_code=status.HTTP_429_TOO_MANY_REQUESTS, + detail="Trop de demandes, réessayez plus tard", + headers={"Retry-After": str(erreur.retry_after)}, + ) from erreur + + +@router.get( + "/reset-password/validate", + response_model=ResetTokenValidationResponse, + summary="Vérifie sans le consommer si un lien de réinitialisation est encore valide", + responses=REPONSE_VALIDATION, +) +async def validate_reset_token(token: str, service: AuthServiceDep) -> ResetTokenValidationResponse: + return ResetTokenValidationResponse(valid=await service.is_reset_token_valid(token=token)) + + +@router.post( + "/reset-password", + response_model=TokenResponse, + summary="Choisit un nouveau mot de passe depuis un lien reçu par email", + dependencies=[Depends(require_trusted_origin)], + responses=REPONSES_RESET_PASSWORD, +) +async def reset_password( + payload: ResetPasswordRequest, + request: Request, + response: Response, + settings: SettingsDep, + service: AuthServiceDep, + client_ip: str | None = Depends(get_client_ip), +) -> TokenResponse: + response.headers["Cache-Control"] = "no-store" + + try: + session = await service.confirm_password_reset( + token=payload.token, + new_password=payload.new_password, + client_ip=client_ip, + user_agent=request.headers.get("user-agent"), + ) + except InvalidOrExpiredResetTokenError as erreur: + logger.warning("auth.password_reset.invalid_token ip=%s", client_ip) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail=DETAIL_LIEN_RESET + ) from erreur + + logger.info("auth.password_reset.success user_id=%s", session.principal.id) + return repond(response, settings, session) diff --git a/apps/backend/app/api/v1/endpoints/readings.py b/apps/backend/app/api/v1/endpoints/readings.py new file mode 100644 index 0000000..c98ff4a --- /dev/null +++ b/apps/backend/app/api/v1/endpoints/readings.py @@ -0,0 +1,54 @@ +from datetime import datetime + +from fastapi import APIRouter, HTTPException, Query, status + +from app.api.deps import LecteurDep, ReadingServiceDep +from app.api.openapi import REPONSE_VALIDATION, Reponses +from app.schemas.errors import ErrorResponse +from app.schemas.reading import ReadingResponse +from app.services.reading import FenetreInverseeError, FenetreTropLargeError + +router = APIRouter() + +REPONSES_FENETRE: Reponses = { + **REPONSE_VALIDATION, + 400: { + "model": ErrorResponse, + "description": ( + "Fenêtre temporelle invalide : `start` postérieur ou égal à `end`, ou écart entre " + "les deux supérieur à 90 jours." + ), + }, +} + + +@router.get( + "", + response_model=list[ReadingResponse], + summary="Liste l'historique des lectures", + responses=REPONSES_FENETRE, +) +async def list_readings( + _: LecteurDep, + service: ReadingServiceDep, + site_id: str | None = None, + start: datetime | None = None, + end: datetime | None = None, + limit: int = Query(500, ge=1, le=2000), + offset: int = Query(0, ge=0), +) -> list[ReadingResponse]: + try: + lectures = await service.list_history( + site_id=site_id, start=start, end=end, limit=limit, offset=offset + ) + except FenetreInverseeError as erreur: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="`start` doit être strictement antérieur à `end`", + ) from erreur + except FenetreTropLargeError as erreur: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="L'écart entre `start` et `end` ne peut pas dépasser 90 jours", + ) from erreur + return [ReadingResponse.model_validate(lecture) for lecture in lectures] diff --git a/apps/backend/app/api/v1/router.py b/apps/backend/app/api/v1/router.py index f5075ca..8c0bd9e 100644 --- a/apps/backend/app/api/v1/router.py +++ b/apps/backend/app/api/v1/router.py @@ -1,7 +1,17 @@ from fastapi import APIRouter from app.api.openapi import REPONSE_SERVEUR, REPONSES_ADMIN, REPONSES_LECTEUR -from app.api.v1.endpoints import alerts, auth, health, recommendations, sensors, sites, stats, users +from app.api.v1.endpoints import ( + alerts, + auth, + health, + readings, + recommendations, + sensors, + sites, + stats, + users, +) api_router = APIRouter(responses=REPONSE_SERVEUR) api_router.include_router(health.router, prefix="/health", tags=["health"]) @@ -18,6 +28,9 @@ api_router.include_router( responses=REPONSES_LECTEUR, ) api_router.include_router(stats.router, prefix="/stats", tags=["stats"], responses=REPONSES_LECTEUR) +api_router.include_router( + readings.router, prefix="/readings", tags=["readings"], responses=REPONSES_LECTEUR +) api_router.include_router( sensors.router, prefix="/sensors", tags=["sensors"], responses=REPONSES_ADMIN ) diff --git a/apps/backend/app/cli.py b/apps/backend/app/cli.py index 37e94fd..f713fa5 100644 --- a/apps/backend/app/cli.py +++ b/apps/backend/app/cli.py @@ -9,6 +9,7 @@ import argparse import asyncio import json import secrets +import string import sys from getpass import getpass from pathlib import Path @@ -22,9 +23,9 @@ from app.core.roles import Role from app.db.session import get_session_factory from app.main import create_app from app.repositories.user import UserRepository +from app.schemas.auth import PASSWORD_MIN_LENGTH, SPECIAL_CHARACTERS, valide_complexite LONGUEUR_MOT_DE_PASSE_GENERE = 24 -LONGUEUR_MINIMALE = 12 CHEMIN_CONTRAT = Path(__file__).resolve().parent.parent / "openapi.json" @@ -111,15 +112,34 @@ def build_parser() -> argparse.ArgumentParser: return parser +def genere_mot_de_passe() -> str: + tirage = secrets.SystemRandom() + classes = [ + string.ascii_uppercase, + string.ascii_lowercase, + string.digits, + SPECIAL_CHARACTERS, + ] + reste = LONGUEUR_MOT_DE_PASSE_GENERE - len(classes) + caracteres = [tirage.choice(classe) for classe in classes] + caracteres += [tirage.choice("".join(classes)) for _ in range(reste)] + tirage.shuffle(caracteres) + return "".join(caracteres) + + def read_password(*, generate: bool) -> str: if generate: - mot_de_passe = secrets.token_urlsafe(LONGUEUR_MOT_DE_PASSE_GENERE) + mot_de_passe = genere_mot_de_passe() print(f"Mot de passe généré, il ne sera plus affiché : {mot_de_passe}") return mot_de_passe mot_de_passe = getpass("Mot de passe : ") - if len(mot_de_passe) < LONGUEUR_MINIMALE: - raise SystemExit(f"Le mot de passe doit faire au moins {LONGUEUR_MINIMALE} caractères") + if len(mot_de_passe) < PASSWORD_MIN_LENGTH: + raise SystemExit(f"Le mot de passe doit faire au moins {PASSWORD_MIN_LENGTH} caractères") + try: + valide_complexite(mot_de_passe) + except ValueError as erreur: + raise SystemExit(str(erreur)) from erreur if mot_de_passe != getpass("Confirmation : "): raise SystemExit("Les deux saisies diffèrent") return mot_de_passe diff --git a/apps/backend/app/core/config.py b/apps/backend/app/core/config.py index 6733b3a..e374709 100644 --- a/apps/backend/app/core/config.py +++ b/apps/backend/app/core/config.py @@ -54,6 +54,19 @@ class Settings(BaseSettings): login_max_failures_per_ip: int = Field(default=20, ge=1) login_max_failures_per_identifier: int = Field(default=50, ge=1) + password_reset_ttl_seconds: int = Field(default=900, ge=60, le=3600) + password_reset_window_seconds: int = Field(default=900, ge=60) + password_reset_max_requests_per_identifier: int = Field(default=3, ge=1) + password_reset_max_requests_per_ip: int = Field(default=10, ge=1) + + smtp_host: str = "localhost" + smtp_port: int = Field(default=587, ge=1, le=65535) + smtp_username: str | None = None + smtp_password: SecretStr | None = None + smtp_use_tls: bool = False + smtp_from_address: str = "no-reply@enervision.fr" + frontend_reset_password_url: str = "http://localhost:4200/reset-password" # noqa: S105 + trust_proxy_headers: bool = False expose_api_docs: bool | None = None metrics_token: SecretStr | None = None diff --git a/apps/backend/app/core/mailer.py b/apps/backend/app/core/mailer.py new file mode 100644 index 0000000..5c09008 --- /dev/null +++ b/apps/backend/app/core/mailer.py @@ -0,0 +1,48 @@ +# Piège : l'URL de réinitialisation porte le jeton en clair. Ne jamais la journaliser : +# `send_password_reset_email()` ne logue que le destinataire, jamais `reset_url`. + +from dataclasses import dataclass +from email.message import EmailMessage + +import aiosmtplib + +from app.core.logging import get_logger + +logger = get_logger(__name__) + + +@dataclass(frozen=True, slots=True) +class SmtpConfig: + host: str + port: int + username: str | None + password: str | None + use_tls: bool + from_address: str + + +class Mailer: + def __init__(self, config: SmtpConfig) -> None: + self._config = config + + async def send_password_reset_email(self, *, to: str, reset_url: str) -> None: + message = EmailMessage() + message["From"] = self._config.from_address + message["To"] = to + message["Subject"] = "Réinitialisation de votre mot de passe EnerVision" + message.set_content( + "Une réinitialisation de mot de passe a été demandée pour ce compte.\n\n" + f"Ouvrez ce lien dans les 15 minutes pour choisir un nouveau mot de passe : " + f"{reset_url}\n\n" + "Si vous n'êtes pas à l'origine de cette demande, ignorez cet email." + ) + + _, message_recu = await aiosmtplib.send( + message, + hostname=self._config.host, + port=self._config.port, + username=self._config.username, + password=self._config.password, + use_tls=self._config.use_tls, + ) + logger.info("mailer.password_reset_sent to=%s smtp_response=%s", to, message_recu) diff --git a/apps/backend/app/etl/__init__.py b/apps/backend/app/etl/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/backend/app/etl/historical_import.py b/apps/backend/app/etl/historical_import.py new file mode 100644 index 0000000..22d9b03 --- /dev/null +++ b/apps/backend/app/etl/historical_import.py @@ -0,0 +1,621 @@ +from __future__ import annotations + +import argparse +import asyncio +import hashlib +import json +from pathlib import Path +from typing import Any, cast + +import pandas as pd +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncConnection, create_async_engine + +from app.core.config import get_settings + +REQUIRED_COLUMNS = { + "timestamp", + "site_id", + "site_type", + "site_name", + "consumption_kwh", + "consumption_euros", + "temperature_celsius", + "humidity_percent", + "solar_irradiance_wm2", + "hour", + "day_of_week", + "day_name", + "month", + "is_weekend", + "is_working_hours", +} + +MEASURE_COLUMNS = [ + "consumption_kwh", + "consumption_euros", + "temperature_celsius", + "humidity_percent", + "solar_irradiance_wm2", +] + +SOURCE_NAME = "csv" + + +def compute_sha256(path: Path) -> str: + """Calcule l'empreinte SHA-256 du fichier source.""" + sha256 = hashlib.sha256() + + with path.open("rb") as source: + for block in iter(lambda: source.read(1024 * 1024), b""): + sha256.update(block) + + return sha256.hexdigest() + + +def load_metadata(path: Path) -> dict[str, Any]: + """Charge les métadonnées fournies avec le dataset.""" + with path.open("r", encoding="utf-8") as source: + metadata = json.load(source) + + if not isinstance(metadata, dict): + raise ValueError("Le fichier de métadonnées doit contenir un objet JSON.") + + return cast(dict[str, Any], metadata) + + +def classify_quality( + row: dict[str, Any], +) -> tuple[str, list[str]]: + """ + Déduit une qualité technique à partir des champs manquants. + + Les valeurs NULL sont conservées. On ne cherche pas ici à + déterminer la cause physique exacte de leur absence. + """ + missing = [column for column in MEASURE_COLUMNS if pd.isna(row.get(column))] + + if not missing: + quality = "good" + elif len(missing) == len(MEASURE_COLUMNS): + quality = "critical" + elif "consumption_kwh" in missing: + quality = "degraded" + else: + quality = "partial" + + reasons = [f"missing:{column}" for column in missing] + + return quality, reasons + + +def validate_source( + frame: pd.DataFrame, + metadata: dict[str, Any], +) -> None: + """Valide le dataset avant tout chargement en base.""" + missing_columns = REQUIRED_COLUMNS.difference(frame.columns) + + if missing_columns: + raise ValueError(f"Colonnes obligatoires absentes : {sorted(missing_columns)}") + + expected_records = int(metadata["total_records"]) + + if len(frame) != expected_records: + raise ValueError(f"Nombre de lignes inattendu : {len(frame)} au lieu de {expected_records}") + + expected_sites = set(metadata["sites"].keys()) + actual_sites = set(frame["site_id"].unique()) + + if actual_sites != expected_sites: + raise ValueError( + f"Sites incohérents. Attendus={sorted(expected_sites)}, trouvés={sorted(actual_sites)}" + ) + + duplicated = frame.duplicated(subset=["site_id", "timestamp"]).sum() + + if duplicated: + raise ValueError(f"{duplicated} doublons (site_id, timestamp) détectés") + + static_variants = frame.groupby("site_id")[["site_type", "site_name"]].nunique() + + if (static_variants > 1).any().any(): + raise ValueError("Un site possède plusieurs valeurs de site_type ou site_name.") + + # Vérifie également que tous les timestamps + # peuvent être interprétés correctement. + pd.to_datetime( + frame["timestamp"], + errors="raise", + ) + + +def normalize_timestamps( + frame: pd.DataFrame, + source_timezone: str, +) -> pd.DataFrame: + """ + Normalise les timestamps et leur associe une timezone. + + Les timestamps originaux sont conservés dans une colonne + temporaire afin de pouvoir les stocker dans raw_data. + """ + normalized = frame.copy() + + normalized["_source_timestamp"] = normalized["timestamp"] + + timestamps = pd.to_datetime( + normalized["timestamp"], + errors="raise", + ) + + if timestamps.dt.tz is None: + timestamps = timestamps.dt.tz_localize(source_timezone) + else: + timestamps = timestamps.dt.tz_convert(source_timezone) + + normalized["timestamp"] = timestamps + + return normalized + + +def to_json_value(value: Any) -> Any: + """ + Convertit une valeur Pandas/Numpy en valeur + compatible JSON. + """ + if value is None: + return None + + try: + if pd.isna(value): + return None + except TypeError, ValueError: + pass + + if isinstance(value, pd.Timestamp): + return value.isoformat() + + if hasattr(value, "item"): + return value.item() + + return value + + +async def ensure_dataset( + connection: AsyncConnection, + metadata: dict[str, Any], + sha256: str, + source_timezone: str, + storage_uri: str, +) -> int: + """ + Crée l'entrée dataset si elle n'existe pas. + + Le SHA-256 permet de reconnaître un fichier déjà importé + et participe à l'idempotence et à la traçabilité. + """ + result = await connection.execute( + text( + """ + SELECT dataset_id + FROM dataset + WHERE archive_sha256 = :sha256 + LIMIT 1 + """ + ), + { + "sha256": sha256, + }, + ) + + existing = result.scalar_one_or_none() + + if existing is not None: + return int(existing) + + metadata_summary = { + "generator_version": metadata.get("generator_version"), + "total_sites": metadata.get("total_sites"), + "total_records": metadata.get("total_records"), + "date_range": metadata.get("date_range"), + "frequency": metadata.get("frequency"), + "null_injection_enabled": metadata.get("null_injection_enabled"), + "null_strategies": metadata.get("null_strategies"), + "importer": "historical_import_v1", + } + + result = await connection.execute( + text( + """ + INSERT INTO dataset ( + dataset_name, + archive_sha256, + storage_uri, + source_timezone, + "metadata" + ) + VALUES ( + :dataset_name, + :archive_sha256, + :storage_uri, + :source_timezone, + CAST(:metadata AS jsonb) + ) + RETURNING dataset_id + """ + ), + { + "dataset_name": ("EnerVision historical dataset 2023-2024"), + "archive_sha256": sha256, + "storage_uri": storage_uri, + "source_timezone": source_timezone, + "metadata": json.dumps( + metadata_summary, + ensure_ascii=False, + ), + }, + ) + + return int(result.scalar_one()) + + +async def upsert_sites( + connection: AsyncConnection, + frame: pd.DataFrame, +) -> None: + """Insère ou met à jour les sites du dataset.""" + sites = cast( + list[dict[str, Any]], + frame[ + [ + "site_id", + "site_type", + "site_name", + ] + ] + .drop_duplicates(subset=["site_id"]) + .to_dict(orient="records"), + ) + + await connection.execute( + text( + """ + INSERT INTO site ( + site_id, + site_type, + site_name + ) + VALUES ( + :site_id, + :site_type, + :site_name + ) + ON CONFLICT (site_id) + DO UPDATE SET + site_type = EXCLUDED.site_type, + site_name = EXCLUDED.site_name + """ + ), + sites, + ) + + +def build_reading_batch( + chunk: pd.DataFrame, + dataset_id: int, +) -> list[dict[str, Any]]: + """ + Transforme un chunk Pandas en lignes prêtes + à être chargées dans la table reading. + """ + rows: list[dict[str, Any]] = [] + + records = cast( + list[dict[str, Any]], + chunk.to_dict(orient="records"), + ) + + for record in records: + quality, reasons = classify_quality(record) + + raw_data = { + column: to_json_value(value) + for column, value in record.items() + if column != "_source_timestamp" + } + + # Dans raw_data, on conserve le timestamp + # exactement tel qu'il était dans le CSV. + raw_data["timestamp"] = to_json_value(record["_source_timestamp"]) + + rows.append( + { + "site_id": record["site_id"], + "timestamp": record["timestamp"], + "source": SOURCE_NAME, + "dataset_id": dataset_id, + # Non fourni par le dataset historique. + "consumption_kw": None, + "consumption_kwh": to_json_value(record["consumption_kwh"]), + "consumption_euros": to_json_value(record["consumption_euros"]), + # Non fournis par le CSV historique. + "voltage_v": None, + "current_a": None, + "power_factor": None, + "temperature_celsius": (to_json_value(record["temperature_celsius"])), + "humidity_percent": (to_json_value(record["humidity_percent"])), + "solar_irradiance_wm2": (to_json_value(record["solar_irradiance_wm2"])), + "is_working_hours": bool(record["is_working_hours"]), + "data_quality": quality, + "null_reasons": reasons, + # Aucune imputation pendant l'ingestion RAW. + # Les valeurs manquantes sont conservées telles quelles + # afin de préserver la donnée source. + "imputed_values": None, + "imputation_method": None, + # Conservation de la donnée source + # pour la traçabilité. + "raw_data": json.dumps( + raw_data, + ensure_ascii=False, + ), + } + ) + + return rows + + +READING_INSERT = text( + """ + INSERT INTO reading ( + site_id, + timestamp, + source, + dataset_id, + consumption_kw, + consumption_kwh, + consumption_euros, + voltage_v, + current_a, + power_factor, + temperature_celsius, + humidity_percent, + solar_irradiance_wm2, + is_working_hours, + data_quality, + null_reasons, + imputed_values, + imputation_method, + raw_data + ) + VALUES ( + :site_id, + :timestamp, + :source, + :dataset_id, + :consumption_kw, + :consumption_kwh, + :consumption_euros, + :voltage_v, + :current_a, + :power_factor, + :temperature_celsius, + :humidity_percent, + :solar_irradiance_wm2, + :is_working_hours, + :data_quality, + :null_reasons, + CAST(:imputed_values AS jsonb), + :imputation_method, + CAST(:raw_data AS jsonb) + ) + ON CONFLICT DO NOTHING + """ +) + + +async def import_historical( + csv_path: Path, + metadata_path: Path, + source_timezone: str, + batch_size: int, + dry_run: bool, + storage_uri: str, +) -> None: + """ + Exécute le pipeline ETL historique EnerVision. + + Étapes : + 1. Extract + 2. Validate + 3. Transform + 4. Load + """ + metadata = load_metadata(metadata_path) + + frame = pd.read_csv(csv_path) + + validate_source( + frame, + metadata, + ) + + print(f"Lignes : {len(frame)}") + print(f"Sites : {frame['site_id'].nunique()}") + print(f"Période : {frame['timestamp'].min()} -> {frame['timestamp'].max()}") + print(f"Doublons : {frame.duplicated(['site_id', 'timestamp']).sum()}") + + print("\nValeurs NULL :") + print(frame[MEASURE_COLUMNS].isna().sum()) + + sha256 = compute_sha256(csv_path) + + print(f"\nSHA-256 : {sha256}") + + if dry_run: + print("\nDry-run terminé : aucune donnée écrite.") + return + + normalized = normalize_timestamps( + frame, + source_timezone, + ) + + settings = get_settings() + + engine = create_async_engine( + str(settings.database_url), + pool_pre_ping=True, + ) + + try: + async with engine.begin() as connection: + dataset_id = await ensure_dataset( + connection=connection, + metadata=metadata, + sha256=sha256, + source_timezone=source_timezone, + storage_uri=storage_uri, + ) + + await upsert_sites( + connection, + normalized, + ) + + result = await connection.execute( + text( + """ + SELECT COUNT(*) + FROM reading + WHERE dataset_id = :dataset_id + AND source = :source + """ + ), + { + "dataset_id": dataset_id, + "source": SOURCE_NAME, + }, + ) + + before = int(result.scalar_one()) + + for start in range( + 0, + len(normalized), + batch_size, + ): + chunk = normalized.iloc[start : start + batch_size] + + rows = build_reading_batch( + chunk, + dataset_id, + ) + + await connection.execute( + READING_INSERT, + rows, + ) + + loaded = min( + start + batch_size, + len(normalized), + ) + + print(f"Chargement : {loaded}/{len(normalized)}") + + result = await connection.execute( + text( + """ + SELECT COUNT(*) + FROM reading + WHERE dataset_id = :dataset_id + AND source = :source + """ + ), + { + "dataset_id": dataset_id, + "source": SOURCE_NAME, + }, + ) + + after = int(result.scalar_one()) + + print("\nImport terminé.") + print(f"dataset_id : {dataset_id}") + print(f"lectures avant : {before}") + print(f"lectures après : {after}") + print(f"nouvelles lectures : {after - before}") + + finally: + await engine.dispose() + + +def parse_args() -> argparse.Namespace: + """Définit les arguments CLI de l'import.""" + parser = argparse.ArgumentParser(description=("Import historique EnerVision")) + + parser.add_argument( + "--csv", + type=Path, + required=True, + help="Chemin vers le CSV historique.", + ) + + parser.add_argument( + "--metadata", + type=Path, + required=True, + help=("Chemin vers le fichier dataset_metadata.json."), + ) + + parser.add_argument( + "--source-timezone", + default="UTC", + help=("Timezone associée aux timestamps du dataset. Défaut : UTC."), + ) + + parser.add_argument( + "--batch-size", + type=int, + default=1000, + help=("Nombre de lignes insérées par batch. Défaut : 1000."), + ) + + parser.add_argument( + "--dry-run", + action="store_true", + help=("Valide les données sans écrire en base."), + ) + + return parser.parse_args() + + +def main() -> None: + """Point d'entrée CLI du pipeline.""" + args = parse_args() + + if args.batch_size <= 0: + raise ValueError("--batch-size doit être strictement supérieur à 0.") + + # resolve() est volontairement exécuté ici, + # dans la partie synchrone du programme. + # Cela évite une opération filesystem bloquante + # à l'intérieur d'une fonction async. + storage_uri = args.csv.resolve().as_uri() + + asyncio.run( + import_historical( + csv_path=args.csv, + metadata_path=args.metadata, + source_timezone=(args.source_timezone), + batch_size=args.batch_size, + dry_run=args.dry_run, + storage_uri=storage_uri, + ) + ) + + +if __name__ == "__main__": + main() diff --git a/apps/backend/app/models/__init__.py b/apps/backend/app/models/__init__.py index 10a5ecb..167d7ce 100644 --- a/apps/backend/app/models/__init__.py +++ b/apps/backend/app/models/__init__.py @@ -4,6 +4,8 @@ from app.models.audit_log import AuditLog from app.models.energy import Alert, Dataset, Prediction, Reading, Recommendation, Site from app.models.login_attempt import LoginAttempt +from app.models.password_reset_attempt import PasswordResetAttempt +from app.models.password_reset_token import PasswordResetToken from app.models.refresh_token import RefreshToken from app.models.user import AppUser @@ -13,6 +15,8 @@ __all__ = [ "AuditLog", "Dataset", "LoginAttempt", + "PasswordResetAttempt", + "PasswordResetToken", "Prediction", "Reading", "Recommendation", diff --git a/apps/backend/app/models/audit_log.py b/apps/backend/app/models/audit_log.py index 5775f5e..d389880 100644 --- a/apps/backend/app/models/audit_log.py +++ b/apps/backend/app/models/audit_log.py @@ -29,6 +29,8 @@ class AuditAction(StrEnum): COMPTE_ACTIVE = "user.enabled" COMPTE_MOT_DE_PASSE_REINITIALISE = "user.password_reset_by_admin" COMPTE_MOT_DE_PASSE_CHANGE = "user.password_changed" + MOT_DE_PASSE_OUBLIE_DEMANDE = "auth.password_reset_requested" + MOT_DE_PASSE_REINITIALISE_PAR_SOI = "auth.password_reset_self_service" REFRESH_REUTILISE = "auth.refresh_reuse_detected" SESSIONS_REVOQUEES = "auth.all_sessions_revoked" LIMITE_PAR_IDENTIFIANT = "auth.identifier_throttled" diff --git a/apps/backend/app/models/password_reset_attempt.py b/apps/backend/app/models/password_reset_attempt.py new file mode 100644 index 0000000..6d2a607 --- /dev/null +++ b/apps/backend/app/models/password_reset_attempt.py @@ -0,0 +1,27 @@ +# Pourquoi : même séparation que `login_attempt` par rapport à `audit_log` : ce compteur est +# piloté par l'attaquant (une campagne de demandes) et se purge, l'audit log est en ajout seul. +# Piège : la tentative est enregistrée même quand l'email est inconnu, sinon le 429 apprendrait +# qu'un compte existe. + +from datetime import datetime + +from sqlalchemy import BigInteger, DateTime, Identity, Index, String, func +from sqlalchemy.dialects.postgresql import INET +from sqlalchemy.orm import Mapped, mapped_column + +from app.db.base import Base + + +class PasswordResetAttempt(Base): + __tablename__ = "password_reset_attempt" + __table_args__ = ( + Index("ix_password_reset_attempt_email_date", "email_tried", "occurred_at"), + Index("ix_password_reset_attempt_ip_date", "client_ip", "occurred_at"), + ) + + id: Mapped[int] = mapped_column(BigInteger, Identity(always=True), primary_key=True) + occurred_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), nullable=False, server_default=func.now() + ) + email_tried: Mapped[str] = mapped_column(String(320), nullable=False) + client_ip: Mapped[str | None] = mapped_column(INET, nullable=True) diff --git a/apps/backend/app/models/password_reset_token.py b/apps/backend/app/models/password_reset_token.py new file mode 100644 index 0000000..d67d310 --- /dev/null +++ b/apps/backend/app/models/password_reset_token.py @@ -0,0 +1,40 @@ +# Pourquoi : même schéma que `refresh_token` (chaîne opaque, jamais un JWT) pour la même +# raison : un jeton de réinitialisation doit être révocable d'un coup, et un JWT ne figure +# dans aucune ligne à invalider. + +import uuid +from datetime import datetime + +from sqlalchemy import DateTime, ForeignKey, Index, LargeBinary, Text, func +from sqlalchemy.dialects.postgresql import INET +from sqlalchemy.dialects.postgresql import UUID as PG_UUID +from sqlalchemy.orm import Mapped, mapped_column + +from app.db.base import Base + + +class PasswordResetToken(Base): + __tablename__ = "password_reset_token" + __table_args__ = ( + Index("ix_password_reset_token_user", "user_id"), + Index( + "ix_password_reset_token_vivants", + "user_id", + postgresql_where="consumed_at is null", + ), + ) + + id: Mapped[uuid.UUID] = mapped_column( + PG_UUID(as_uuid=True), primary_key=True, server_default=func.gen_random_uuid() + ) + user_id: Mapped[uuid.UUID] = mapped_column( + PG_UUID(as_uuid=True), ForeignKey("app_user.id", ondelete="CASCADE"), nullable=False + ) + token_hash: Mapped[bytes] = mapped_column(LargeBinary, nullable=False, unique=True) + issued_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), nullable=False, server_default=func.now() + ) + expires_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False) + consumed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) + client_ip: Mapped[str | None] = mapped_column(INET, nullable=True) + user_agent: Mapped[str | None] = mapped_column(Text, nullable=True) diff --git a/apps/backend/app/repositories/password_reset_attempt.py b/apps/backend/app/repositories/password_reset_attempt.py new file mode 100644 index 0000000..ddc2f91 --- /dev/null +++ b/apps/backend/app/repositories/password_reset_attempt.py @@ -0,0 +1,42 @@ +from dataclasses import dataclass +from datetime import UTC, datetime, timedelta + +from sqlalchemy import func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.models.password_reset_attempt import PasswordResetAttempt + + +@dataclass(frozen=True, slots=True) +class ResetRequestCounts: + per_identifier: int + per_ip: int + + +class PasswordResetAttemptRepository: + def __init__(self, session: AsyncSession) -> None: + self._session = session + + async def record(self, *, email: str, client_ip: str | None) -> None: + self._session.add( + PasswordResetAttempt(email_tried=email.strip().lower(), client_ip=client_ip) + ) + + async def count_recent( + self, *, email: str, client_ip: str | None, window_seconds: int + ) -> ResetRequestCounts: + identifiant = email.strip().lower() + meme_email = PasswordResetAttempt.email_tried == identifiant + meme_ip = PasswordResetAttempt.client_ip == client_ip + + requete = select( + func.count().filter(meme_email), + func.count().filter(meme_ip), + ).where( + PasswordResetAttempt.occurred_at + > datetime.now(UTC) - timedelta(seconds=window_seconds), + meme_email | meme_ip, + ) + + par_identifiant, par_ip = (await self._session.execute(requete)).one() + return ResetRequestCounts(per_identifier=par_identifiant, per_ip=par_ip) diff --git a/apps/backend/app/repositories/password_reset_token.py b/apps/backend/app/repositories/password_reset_token.py new file mode 100644 index 0000000..67eafbd --- /dev/null +++ b/apps/backend/app/repositories/password_reset_token.py @@ -0,0 +1,78 @@ +# Piège : `consume()` est une seule instruction, sur le modèle de `claim_for_rotation()` du +# jeton de rafraîchissement. Un SELECT puis un UPDATE laisseraient une fenêtre où deux +# soumissions concurrentes du même lien réussiraient toutes les deux. + +from dataclasses import dataclass +from datetime import datetime +from uuid import UUID + +from sqlalchemy import func, select, update +from sqlalchemy.ext.asyncio import AsyncSession + +from app.models.password_reset_token import PasswordResetToken + + +@dataclass(frozen=True, slots=True) +class ConsumedResetToken: + id: UUID + user_id: UUID + + +class PasswordResetTokenRepository: + def __init__(self, session: AsyncSession) -> None: + self._session = session + + async def create( + self, + *, + user_id: UUID, + token_hash: bytes, + expires_at: datetime, + client_ip: str | None, + user_agent: str | None, + ) -> PasswordResetToken: + jeton = PasswordResetToken( + user_id=user_id, + token_hash=token_hash, + expires_at=expires_at, + client_ip=client_ip, + user_agent=user_agent, + ) + self._session.add(jeton) + await self._session.flush() + return jeton + + async def consume(self, token_hash: bytes) -> ConsumedResetToken | None: + requete = ( + update(PasswordResetToken) + .where( + PasswordResetToken.token_hash == token_hash, + PasswordResetToken.consumed_at.is_(None), + PasswordResetToken.expires_at > func.clock_timestamp(), + ) + .values(consumed_at=func.clock_timestamp()) + .returning(PasswordResetToken.id, PasswordResetToken.user_id) + ) + ligne = (await self._session.execute(requete)).one_or_none() + if ligne is None: + return None + return ConsumedResetToken(id=ligne.id, user_id=ligne.user_id) + + # Piège : simple SELECT, volontairement pas atomique avec la consommation. Sert seulement + # au feedback UX (jeton encore valide ?) ; `consume()` reste la seule source de vérité. + async def exists_valid(self, token_hash: bytes) -> bool: + requete = select(PasswordResetToken.id).where( + PasswordResetToken.token_hash == token_hash, + PasswordResetToken.consumed_at.is_(None), + PasswordResetToken.expires_at > func.clock_timestamp(), + ) + return (await self._session.execute(requete)).first() is not None + + async def invalidate_all_for_user(self, user_id: UUID) -> int: + resultat = await self._session.execute( + update(PasswordResetToken) + .where(PasswordResetToken.user_id == user_id, PasswordResetToken.consumed_at.is_(None)) + .values(consumed_at=func.clock_timestamp()) + .returning(PasswordResetToken.id) + ) + return len(resultat.all()) diff --git a/apps/backend/app/repositories/reading.py b/apps/backend/app/repositories/reading.py index 5424b46..71352da 100644 --- a/apps/backend/app/repositories/reading.py +++ b/apps/backend/app/repositories/reading.py @@ -1,4 +1,5 @@ from collections.abc import Sequence +from datetime import datetime from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession @@ -19,3 +20,23 @@ class ReadingRepository: .order_by(Reading.site_id, Reading.timestamp.desc()) ) return (await self._session.execute(requete)).scalars().all() + + async def list_history( + self, + *, + start: datetime, + end: datetime, + site_id: str | None = None, + limit: int, + offset: int, + ) -> Sequence[Reading]: + requete = ( + select(Reading) + .where(Reading.timestamp >= start, Reading.timestamp < end) + .order_by(Reading.timestamp.desc(), Reading.reading_id.desc()) + .limit(limit) + .offset(offset) + ) + if site_id is not None: + requete = requete.where(Reading.site_id == site_id) + return (await self._session.scalars(requete)).all() diff --git a/apps/backend/app/schemas/auth.py b/apps/backend/app/schemas/auth.py index 522b4c5..f345ab7 100644 --- a/apps/backend/app/schemas/auth.py +++ b/apps/backend/app/schemas/auth.py @@ -1,17 +1,45 @@ # Contrainte : le mot de passe est borné à 128 caractères. Sans plafond, une chaîne de dix # mégaoctets ferait travailler Argon2 gratuitement, à la charge du serveur. +# Contrainte : `SPECIAL_CHARACTERS` doit rester identique à `password.validator.ts` côté +# frontend. `\w`/`\d` divergent entre Python (Unicode) et JavaScript (ASCII) : une classe +# explicite, plutôt qu'une négation, évite qu'un mot de passe soit accepté d'un côté et +# rejeté de l'autre (ex. "Sécurité1", où "é" comptait comme "spécial" pour Python seul). +import re from typing import Literal, Self from uuid import UUID -from pydantic import BaseModel, ConfigDict, EmailStr, Field +from pydantic import BaseModel, ConfigDict, EmailStr, Field, field_validator from app.core.principal import Principal from app.core.roles import AccountKind, Role -PASSWORD_MIN_LENGTH = 12 +PASSWORD_MIN_LENGTH = 8 PASSWORD_MAX_LENGTH = 128 +SPECIAL_CHARACTERS = "!@#$%^&*()-_=+[]{};:,.?" + +_MAJUSCULE = re.compile(r"[A-ZÀ-ÖØ-Þ]") +_MINUSCULE = re.compile(r"[a-zà-öø-þ]") +_CHIFFRE = re.compile(r"[0-9]") +_SPECIAL = re.compile(r"[" + re.escape(SPECIAL_CHARACTERS) + r"]") + + +def valide_complexite(mot_de_passe: str) -> str: + manquants = [ + nom + for nom, motif in ( + ("une majuscule", _MAJUSCULE), + ("une minuscule", _MINUSCULE), + ("un chiffre", _CHIFFRE), + ("un caractère spécial", _SPECIAL), + ) + if not motif.search(mot_de_passe) + ] + if manquants: + raise ValueError(f"Le mot de passe doit contenir au moins {', '.join(manquants)}") + return mot_de_passe + class LoginRequest(BaseModel): email: EmailStr @@ -22,6 +50,25 @@ class PasswordChangeRequest(BaseModel): current_password: str = Field(min_length=1, max_length=PASSWORD_MAX_LENGTH) new_password: str = Field(min_length=PASSWORD_MIN_LENGTH, max_length=PASSWORD_MAX_LENGTH) + @field_validator("new_password") + @classmethod + def _new_password_est_complexe(cls, valeur: str) -> str: + return valide_complexite(valeur) + + +class ForgotPasswordRequest(BaseModel): + email: EmailStr + + +class ResetPasswordRequest(BaseModel): + token: str = Field(min_length=1) + new_password: str = Field(min_length=PASSWORD_MIN_LENGTH, max_length=PASSWORD_MAX_LENGTH) + + @field_validator("new_password") + @classmethod + def _new_password_est_complexe(cls, valeur: str) -> str: + return valide_complexite(valeur) + class PrincipalResponse(BaseModel): model_config = ConfigDict(from_attributes=True) @@ -37,6 +84,10 @@ class PrincipalResponse(BaseModel): return cls.model_validate(principal) +class ResetTokenValidationResponse(BaseModel): + valid: bool + + class TokenResponse(BaseModel): access_token: str token_type: Literal["bearer"] = "bearer" # noqa: S105 diff --git a/apps/backend/app/schemas/reading.py b/apps/backend/app/schemas/reading.py new file mode 100644 index 0000000..5deef21 --- /dev/null +++ b/apps/backend/app/schemas/reading.py @@ -0,0 +1,45 @@ +from datetime import datetime +from decimal import Decimal +from enum import StrEnum +from typing import Any + +from pydantic import BaseModel, ConfigDict + + +class ReadingSource(StrEnum): + CSV = "csv" + API_CURRENT = "api_current" + API_HISTORY = "api_history" + + +class ReadingDataQuality(StrEnum): + GOOD = "good" + PARTIAL = "partial" + DEGRADED = "degraded" + CRITICAL = "critical" + + +class ReadingResponse(BaseModel): + model_config = ConfigDict(from_attributes=True) + + reading_id: int + site_id: str + timestamp: datetime + source: ReadingSource + consumption_kw: float | None + consumption_kwh: float | None + # Piège : `Decimal` (miroir de `Numeric(14, 2)` en base, pour ne pas arrondir un montant) + # sérialise en chaîne dans le JSON, pas en nombre — un consommateur qui ferait un `parseFloat` + # naïf perdrait la précision que ce choix visait à garder. + consumption_euros: Decimal | None + voltage_v: float | None + current_a: float | None + power_factor: float | None + temperature_celsius: float | None + humidity_percent: float | None + solar_irradiance_wm2: float | None + is_working_hours: bool | None + data_quality: ReadingDataQuality | None + null_reasons: list[str] | None + imputed_values: dict[str, Any] | None + imputation_method: str | None diff --git a/apps/backend/app/services/auth.py b/apps/backend/app/services/auth.py index 8baf857..9fac1e1 100644 --- a/apps/backend/app/services/auth.py +++ b/apps/backend/app/services/auth.py @@ -14,7 +14,11 @@ from datetime import UTC, datetime, timedelta from typing import NoReturn, Protocol from uuid import UUID, uuid4 +from fastapi import BackgroundTasks + from app.core.hashing import Argon2Hasher +from app.core.logging import get_logger +from app.core.mailer import Mailer from app.core.principal import Principal from app.core.roles import AccountKind, Role from app.core.security import ( @@ -28,9 +32,13 @@ from app.models.login_attempt import LoginOutcome from app.models.refresh_token import RevocationReason from app.repositories.audit_log import AuditLogRepository from app.repositories.login_attempt import LoginAttemptRepository +from app.repositories.password_reset_attempt import PasswordResetAttemptRepository +from app.repositories.password_reset_token import PasswordResetTokenRepository from app.repositories.refresh_token import RefreshTokenRepository from app.repositories.user import UserRepository +logger = get_logger(__name__) + class Transaction(Protocol): async def commit(self) -> None: ... @@ -54,6 +62,10 @@ class RateLimitedError(AuthError): self.retry_after = retry_after +class InvalidOrExpiredResetTokenError(AuthError): + pass + + @dataclass(frozen=True, slots=True) class LoginPolicy: window_seconds: int @@ -62,6 +74,15 @@ class LoginPolicy: max_failures_per_identifier: int +@dataclass(frozen=True, slots=True) +class PasswordResetPolicy: + window_seconds: int + max_requests_per_identifier: int + max_requests_per_ip: int + token_ttl: timedelta + frontend_reset_url: str + + @dataclass(frozen=True, slots=True) class AuthenticatedSession: principal: Principal @@ -83,6 +104,10 @@ class AuthService: token_policy: TokenPolicy, login_policy: LoginPolicy, refresh_ttl: timedelta, + reset_tokens: PasswordResetTokenRepository, + reset_attempts: PasswordResetAttemptRepository, + reset_policy: PasswordResetPolicy, + mailer: Mailer, ) -> None: self._users = users self._attempts = attempts @@ -93,6 +118,10 @@ class AuthService: self._token_policy = token_policy self._login_policy = login_policy self._refresh_ttl = refresh_ttl + self._reset_tokens = reset_tokens + self._reset_attempts = reset_attempts + self._reset_policy = reset_policy + self._mailer = mailer async def authenticate( self, *, email: str, password: str, client_ip: str | None, user_agent: str | None @@ -200,6 +229,102 @@ class AuthService: rafraichi = await self._users.get_by_id(principal.id) return self._session(self._en_principal(rafraichi or compte), secret) + async def request_password_reset( + self, + *, + email: str, + client_ip: str | None, + user_agent: str | None, + background_tasks: BackgroundTasks, + ) -> None: + await self._refuse_si_limite_reset(email=email, client_ip=client_ip) + + compte = await self._users.get_by_email(email) + # Piège : le hachage factice équilibre le temps de réponse sur un compte inconnu, comme + # `authenticate()`. La réponse et sa forme restent identiques dans tous les cas : compte + # inconnu, compte inactif, ou email envoyé avec succès. L'envoi SMTP lui-même est différé + # en tâche de fond : le laisser dans le chemin de réponse rouvrirait le même oracle par le + # temps (aller-retour réseau) et par la forme (500 si le relais SMTP échoue, contre 202). + if compte is None or not compte.is_active or compte.kind != AccountKind.HUMAIN.value: + await self._hasher.verify_dummy() + await self._reset_attempts.record(email=email, client_ip=client_ip) + await self._transaction.commit() + return + + await self._reset_tokens.invalidate_all_for_user(compte.id) + secret = generate_refresh_secret() + await self._reset_tokens.create( + user_id=compte.id, + token_hash=fingerprint_refresh(secret), + expires_at=datetime.now(UTC) + self._reset_policy.token_ttl, + client_ip=client_ip, + user_agent=user_agent, + ) + await self._reset_attempts.record(email=email, client_ip=client_ip) + await self._audit.record( + action=AuditAction.MOT_DE_PASSE_OUBLIE_DEMANDE, + actor_label=compte.email, + target_type="app_user", + target_id=str(compte.id), + client_ip=client_ip, + user_agent=user_agent, + ) + await self._transaction.commit() + + lien = f"{self._reset_policy.frontend_reset_url}?token={secret}" + background_tasks.add_task(self._envoie_email_reset, compte.email, lien) + + async def _envoie_email_reset(self, email: str, reset_url: str) -> None: + try: + await self._mailer.send_password_reset_email(to=email, reset_url=reset_url) + except Exception: + logger.exception("auth.password_reset.mail_failed") + + # Piège : lecture seule, pas d'appel à `consume()`. Aucune limitation de débit n'est + # nécessaire ici : le jeton est un secret de 256 bits (`generate_refresh_secret`), donc + # non brute-forçable, et cette route n'apprend rien sur l'existence d'un compte ou d'un + # email, seulement si le lien déjà en main du visiteur est encore valide. + async def is_reset_token_valid(self, token: str) -> bool: + return await self._reset_tokens.exists_valid(fingerprint_refresh(token)) + + async def confirm_password_reset( + self, *, token: str, new_password: str, client_ip: str | None, user_agent: str | None + ) -> AuthenticatedSession: + revendique = await self._reset_tokens.consume(fingerprint_refresh(token)) + if revendique is None: + raise InvalidOrExpiredResetTokenError("Lien invalide ou expiré") + + # Piège : le jeton peut avoir été émis avant une désactivation du compte. Sans cette + # relecture, un lien encore valide (15 min) changerait quand même le mot de passe d'un + # compte désactivé, réutilisable dès sa réactivation. + compte = await self._users.get_by_id(revendique.user_id) + if compte is None or not compte.is_active or compte.kind != AccountKind.HUMAIN.value: + raise InvalidOrExpiredResetTokenError("Lien invalide ou expiré") + + await self._users.update_password( + revendique.user_id, await self._hasher.hash(new_password), must_change_password=False + ) + revoquees = await self._refresh.revoke_all_for_user( + revendique.user_id, RevocationReason.CHANGEMENT_MOT_DE_PASSE + ) + secret = await self._ouvre_une_famille( + user_id=revendique.user_id, client_ip=client_ip, user_agent=user_agent + ) + await self._audit.record( + action=AuditAction.MOT_DE_PASSE_REINITIALISE_PAR_SOI, + target_type="app_user", + target_id=str(revendique.user_id), + client_ip=client_ip, + user_agent=user_agent, + detail={"sessions_revoquees": revoquees}, + ) + await self._transaction.commit() + + compte = await self._users.get_by_id(revendique.user_id) + if compte is None: + raise SessionRejectedError("Compte introuvable") + return self._session(self._en_principal(compte), secret) + async def logout_all(self, principal: Principal) -> int: revoquees = await self._refresh.revoke_all_for_user( principal.id, RevocationReason.DECONNEXION @@ -307,6 +432,23 @@ class AuthService: await self._transaction.commit() raise RateLimitedError(politique.window_seconds) + async def _refuse_si_limite_reset(self, *, email: str, client_ip: str | None) -> None: + politique = self._reset_policy + compteurs = await self._reset_attempts.count_recent( + email=email, client_ip=client_ip, window_seconds=politique.window_seconds + ) + + depasse = ( + compteurs.per_identifier >= politique.max_requests_per_identifier + or compteurs.per_ip >= politique.max_requests_per_ip + ) + if not depasse: + return + + await self._reset_attempts.record(email=email, client_ip=client_ip) + await self._transaction.commit() + raise RateLimitedError(politique.window_seconds) + async def _echoue( self, email: str, diff --git a/apps/backend/app/services/reading.py b/apps/backend/app/services/reading.py new file mode 100644 index 0000000..818c202 --- /dev/null +++ b/apps/backend/app/services/reading.py @@ -0,0 +1,59 @@ +from collections.abc import Sequence +from datetime import UTC, datetime, timedelta + +from app.models.energy import Reading +from app.repositories.reading import ReadingRepository + +FENETRE_PAR_DEFAUT = timedelta(hours=24) +FENETRE_MAXIMALE = timedelta(days=90) + + +class FenetreInverseeError(Exception): + """`start` est postérieur ou égal à `end`.""" + + +class FenetreTropLargeError(Exception): + """L'écart entre `start` et `end` dépasse `FENETRE_MAXIMALE`.""" + + +class ReadingService: + def __init__(self, *, readings: ReadingRepository) -> None: + self._readings = readings + + async def list_history( + self, + *, + site_id: str | None = None, + start: datetime | None = None, + end: datetime | None = None, + limit: int, + offset: int, + ) -> Sequence[Reading]: + debut, fin = self._resoudre_fenetre(start, end) + return await self._readings.list_history( + site_id=site_id, start=debut, end=fin, limit=limit, offset=offset + ) + + @staticmethod + def _resoudre_fenetre( + start: datetime | None, end: datetime | None + ) -> tuple[datetime, datetime]: + # Piège : un datetime naïf (sans fuseau dans la chaîne ISO reçue) fait échouer la + # comparaison à `reading.timestamp` (`timestamptz`) au niveau du pilote, en 500 plutôt + # qu'un refus propre. On le traite comme de l'UTC plutôt que de le rejeter. + debut = _vers_utc(start) + fin = _vers_utc(end) or datetime.now(UTC) + if debut is None: + debut = fin - FENETRE_PAR_DEFAUT + + if debut >= fin: + raise FenetreInverseeError + if fin - debut > FENETRE_MAXIMALE: + raise FenetreTropLargeError + return debut, fin + + +def _vers_utc(instant: datetime | None) -> datetime | None: + if instant is None: + return None + return instant if instant.tzinfo is not None else instant.replace(tzinfo=UTC) diff --git a/apps/backend/openapi.json b/apps/backend/openapi.json index 567f7b4..25fc9ee 100644 --- a/apps/backend/openapi.json +++ b/apps/backend/openapi.json @@ -428,6 +428,196 @@ ] } }, + "/api/v1/auth/forgot-password": { + "post": { + "tags": [ + "auth" + ], + "summary": "Demande un lien de réinitialisation par email", + "operationId": "forgot_password_api_v1_auth_forgot_password_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ForgotPasswordRequest" + } + } + }, + "required": true + }, + "responses": { + "202": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "500": { + "description": "Erreur interne. `correlation` identifie la trace côté serveur, qui n'est pas renvoyée au client.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/InternalErrorResponse" + } + } + } + }, + "422": { + "description": "Corps invalide. Le détail nomme le champ fautif et le type d'erreur, jamais la valeur envoyée.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidationErrorResponse" + } + } + } + }, + "429": { + "description": "Trop de demandes sur cette fenêtre glissante.", + "headers": { + "Retry-After": { + "description": "Secondes à attendre avant une nouvelle tentative.", + "schema": { + "type": "integer" + } + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/api/v1/auth/reset-password/validate": { + "get": { + "tags": [ + "auth" + ], + "summary": "Vérifie sans le consommer si un lien de réinitialisation est encore valide", + "operationId": "validate_reset_token_api_v1_auth_reset_password_validate_get", + "parameters": [ + { + "name": "token", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Token" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ResetTokenValidationResponse" + } + } + } + }, + "500": { + "description": "Erreur interne. `correlation` identifie la trace côté serveur, qui n'est pas renvoyée au client.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/InternalErrorResponse" + } + } + } + }, + "422": { + "description": "Corps invalide. Le détail nomme le champ fautif et le type d'erreur, jamais la valeur envoyée.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidationErrorResponse" + } + } + } + } + } + } + }, + "/api/v1/auth/reset-password": { + "post": { + "tags": [ + "auth" + ], + "summary": "Choisit un nouveau mot de passe depuis un lien reçu par email", + "operationId": "reset_password_api_v1_auth_reset_password_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ResetPasswordRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TokenResponse" + } + } + } + }, + "500": { + "description": "Erreur interne. `correlation` identifie la trace côté serveur, qui n'est pas renvoyée au client.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/InternalErrorResponse" + } + } + } + }, + "422": { + "description": "Corps invalide. Le détail nomme le champ fautif et le type d'erreur, jamais la valeur envoyée.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidationErrorResponse" + } + } + } + }, + "403": { + "description": "Origine non autorisée (protection CSRF de `require_trusted_origin`).", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "400": { + "description": "Lien invalide, déjà utilisé, ou expiré (durée de vie : 15 minutes).", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, "/api/v1/users": { "get": { "tags": [ @@ -1232,6 +1422,161 @@ ] } }, + "/api/v1/readings": { + "get": { + "tags": [ + "readings" + ], + "summary": "Liste l'historique des lectures", + "operationId": "list_readings_api_v1_readings_get", + "security": [ + { + "Jeton d'accès": [] + } + ], + "parameters": [ + { + "name": "site_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Site Id" + } + }, + { + "name": "start", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string", + "format": "date-time" + }, + { + "type": "null" + } + ], + "title": "Start" + } + }, + { + "name": "end", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string", + "format": "date-time" + }, + { + "type": "null" + } + ], + "title": "End" + } + }, + { + "name": "limit", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 2000, + "minimum": 1, + "default": 500, + "title": "Limit" + } + }, + { + "name": "offset", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 0, + "default": 0, + "title": "Offset" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ReadingResponse" + }, + "title": "Response List Readings Api V1 Readings Get" + } + } + } + }, + "500": { + "description": "Erreur interne. `correlation` identifie la trace côté serveur, qui n'est pas renvoyée au client.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/InternalErrorResponse" + } + } + } + }, + "401": { + "description": "Jeton absent, illisible, périmé, ou rendu caduc par un changement de rôle ou une désactivation. L'en-tête `WWW-Authenticate` porte la cause dans `error=`.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "403": { + "description": "Mot de passe provisoire à changer (`detail` vaut `password_change_required`).", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Corps invalide. Le détail nomme le champ fautif et le type d'erreur, jamais la valeur envoyée.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidationErrorResponse" + } + } + } + }, + "400": { + "description": "Fenêtre temporelle invalide : `start` postérieur ou égal à `end`, ou écart entre les deux supérieur à 90 jours.", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, "/api/v1/sensors/status": { "get": { "tags": [ @@ -1436,6 +1781,20 @@ ], "title": "FieldError" }, + "ForgotPasswordRequest": { + "properties": { + "email": { + "type": "string", + "format": "email", + "title": "Email" + } + }, + "type": "object", + "required": [ + "email" + ], + "title": "ForgotPasswordRequest" + }, "InternalErrorResponse": { "properties": { "detail": { @@ -1515,7 +1874,7 @@ "new_password": { "type": "string", "maxLength": 128, - "minLength": 12, + "minLength": 8, "title": "New Password" } }, @@ -1584,6 +1943,225 @@ ], "title": "ReadinessStatus" }, + "ReadingDataQuality": { + "type": "string", + "enum": [ + "good", + "partial", + "degraded", + "critical" + ], + "title": "ReadingDataQuality" + }, + "ReadingResponse": { + "properties": { + "reading_id": { + "type": "integer", + "title": "Reading Id" + }, + "site_id": { + "type": "string", + "title": "Site Id" + }, + "timestamp": { + "type": "string", + "format": "date-time", + "title": "Timestamp" + }, + "source": { + "$ref": "#/components/schemas/ReadingSource" + }, + "consumption_kw": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Consumption Kw" + }, + "consumption_kwh": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Consumption Kwh" + }, + "consumption_euros": { + "anyOf": [ + { + "type": "string", + "pattern": "^(?!^[-+.]*$)[+-]?0*\\d*\\.?\\d*$" + }, + { + "type": "null" + } + ], + "title": "Consumption Euros" + }, + "voltage_v": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Voltage V" + }, + "current_a": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Current A" + }, + "power_factor": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Power Factor" + }, + "temperature_celsius": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Temperature Celsius" + }, + "humidity_percent": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Humidity Percent" + }, + "solar_irradiance_wm2": { + "anyOf": [ + { + "type": "number" + }, + { + "type": "null" + } + ], + "title": "Solar Irradiance Wm2" + }, + "is_working_hours": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "title": "Is Working Hours" + }, + "data_quality": { + "anyOf": [ + { + "$ref": "#/components/schemas/ReadingDataQuality" + }, + { + "type": "null" + } + ] + }, + "null_reasons": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "title": "Null Reasons" + }, + "imputed_values": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Imputed Values" + }, + "imputation_method": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Imputation Method" + } + }, + "type": "object", + "required": [ + "reading_id", + "site_id", + "timestamp", + "source", + "consumption_kw", + "consumption_kwh", + "consumption_euros", + "voltage_v", + "current_a", + "power_factor", + "temperature_celsius", + "humidity_percent", + "solar_irradiance_wm2", + "is_working_hours", + "data_quality", + "null_reasons", + "imputed_values", + "imputation_method" + ], + "title": "ReadingResponse" + }, + "ReadingSource": { + "type": "string", + "enum": [ + "csv", + "api_current", + "api_history" + ], + "title": "ReadingSource" + }, "RecommendationResponse": { "properties": { "recommendation_id": { @@ -1623,6 +2201,40 @@ ], "title": "RecommendationResponse" }, + "ResetPasswordRequest": { + "properties": { + "token": { + "type": "string", + "minLength": 1, + "title": "Token" + }, + "new_password": { + "type": "string", + "maxLength": 128, + "minLength": 8, + "title": "New Password" + } + }, + "type": "object", + "required": [ + "token", + "new_password" + ], + "title": "ResetPasswordRequest" + }, + "ResetTokenValidationResponse": { + "properties": { + "valid": { + "type": "boolean", + "title": "Valid" + } + }, + "type": "object", + "required": [ + "valid" + ], + "title": "ResetTokenValidationResponse" + }, "Role": { "type": "string", "enum": [ @@ -2133,6 +2745,10 @@ "name": "stats", "description": "Statistiques agrégées de consommation. Accessible à partir du rôle `lecteur`." }, + { + "name": "readings", + "description": "Historique des lectures de consommation. Fenêtre temporelle plafonnée à 90 jours, 24 dernières heures par défaut si `start`/`end` sont omis. Accessible à partir du rôle `lecteur`." + }, { "name": "sensors", "description": "État de santé des capteurs par site. Réservé au rôle `admin`." diff --git a/apps/backend/pyproject.toml b/apps/backend/pyproject.toml index 18bf979..5336ba6 100644 --- a/apps/backend/pyproject.toml +++ b/apps/backend/pyproject.toml @@ -16,6 +16,8 @@ dependencies = [ "pyjwt>=2.10", "argon2-cffi>=23.1", "anyio>=4.0", + "aiosmtplib>=5.1.3", + "pandas>=3.0.5", ] [dependency-groups] @@ -26,6 +28,7 @@ dev = [ "pytest-asyncio>=1.4.0", "pytest-cov>=7.1.0", "httpx>=0.28.1", + "pandas-stubs>=3.0.5.260914", ] [build-system] diff --git a/apps/backend/tests/api/test_auth.py b/apps/backend/tests/api/test_auth.py index 1d734da..dd8256b 100644 --- a/apps/backend/tests/api/test_auth.py +++ b/apps/backend/tests/api/test_auth.py @@ -11,6 +11,7 @@ from app.core.roles import AccountKind, Role from app.services.auth import ( AuthenticatedSession, InvalidCredentialsError, + InvalidOrExpiredResetTokenError, RateLimitedError, SessionRejectedError, ) @@ -27,15 +28,27 @@ PRINCIPAL = Principal( class FauxService: - def __init__(self, erreur: Exception | None = None) -> None: + def __init__(self, erreur: Exception | None = None, *, jeton_valide: bool = True) -> None: self._erreur = erreur + self._jeton_valide = jeton_valide async def refresh(self, **_: object) -> AuthenticatedSession: return await self.authenticate() + async def is_reset_token_valid(self, **_: object) -> bool: + return self._jeton_valide + async def logout(self, **_: object) -> None: return None + async def request_password_reset(self, **_: object) -> None: + if self._erreur is not None: + raise self._erreur + return None + + async def confirm_password_reset(self, **_: object) -> AuthenticatedSession: + return await self.authenticate() + async def authenticate(self, **_: object) -> AuthenticatedSession: if self._erreur is not None: raise self._erreur @@ -206,3 +219,126 @@ async def test_a_cookie_bearing_route_accepts_a_request_without_origin( response = await client.post("/api/v1/auth/logout") assert response.status_code != 403 + + +async def test_forgot_password_answers_202_when_the_account_exists( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post( + "/api/v1/auth/forgot-password", json={"email": "operateur@enervision.fr"} + ) + + assert response.status_code == 202 + assert response.headers["cache-control"] == "no-store" + + +async def test_forgot_password_answers_202_identically_when_the_account_is_unknown( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post( + "/api/v1/auth/forgot-password", json={"email": "inconnu@enervision.fr"} + ) + + assert response.status_code == 202 + + +async def test_forgot_password_returns_429_with_a_retry_after_when_the_rate_limit_is_reached( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + fake_auth_service[0] = RateLimitedError(900) + + response = await client.post( + "/api/v1/auth/forgot-password", json={"email": "operateur@enervision.fr"} + ) + + assert response.status_code == 429 + assert response.headers["retry-after"] == "900" + + +async def test_forgot_password_rejects_a_malformed_email( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post("/api/v1/auth/forgot-password", json={"email": "pas-un-email"}) + + assert response.status_code == 422 + + +@pytest.fixture +def fake_auth_service_reset_validity(app: FastAPI) -> Iterator[list[bool]]: + programme = [True] + app.dependency_overrides[get_auth_service] = lambda: FauxService(jeton_valide=programme[0]) + yield programme + app.dependency_overrides.pop(get_auth_service, None) + + +async def test_validate_reset_token_reports_a_living_token( + fake_auth_service_reset_validity: list[bool], client: AsyncClient +) -> None: + response = await client.get( + "/api/v1/auth/reset-password/validate", params={"token": "un-secret-opaque"} + ) + + assert response.status_code == 200 + assert response.json() == {"valid": True} + + +async def test_validate_reset_token_reports_an_invalid_or_expired_token( + fake_auth_service_reset_validity: list[bool], client: AsyncClient +) -> None: + fake_auth_service_reset_validity[0] = False + + response = await client.get( + "/api/v1/auth/reset-password/validate", params={"token": "un-secret-perime"} + ) + + assert response.status_code == 200 + assert response.json() == {"valid": False} + + +async def test_reset_password_returns_the_token_and_the_cookie_on_success( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post( + "/api/v1/auth/reset-password", + json={"token": "un-secret-opaque", "new_password": "Un-nouveau-mot-de-passe1!"}, + ) + + assert response.status_code == 200 + assert response.cookies.get("ev_refresh") is not None + assert "refresh_secret" not in response.text + + +async def test_reset_password_rejects_an_invalid_or_expired_token( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + fake_auth_service[0] = InvalidOrExpiredResetTokenError("Lien invalide ou expiré") + + response = await client.post( + "/api/v1/auth/reset-password", + json={"token": "un-secret-perime", "new_password": "Un-nouveau-mot-de-passe1!"}, + ) + + assert response.status_code == 400 + + +async def test_reset_password_rejects_a_weak_password( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post( + "/api/v1/auth/reset-password", + json={"token": "un-secret-opaque", "new_password": "trop-simple"}, + ) + + assert response.status_code == 422 + + +async def test_reset_password_refuses_a_foreign_origin( + fake_auth_service: list[Exception | None], client: AsyncClient +) -> None: + response = await client.post( + "/api/v1/auth/reset-password", + json={"token": "un-secret-opaque", "new_password": "Un-nouveau-mot-de-passe1!"}, + headers={"Origin": "https://malveillant.example"}, + ) + + assert response.status_code == 403 diff --git a/apps/backend/tests/api/test_openapi.py b/apps/backend/tests/api/test_openapi.py index 8b600bf..aa5546b 100644 --- a/apps/backend/tests/api/test_openapi.py +++ b/apps/backend/tests/api/test_openapi.py @@ -35,6 +35,7 @@ ROUTES_A_ROLE = { ("GET", "/api/v1/recommendations"), ("GET", "/api/v1/recommendations/{recommendation_id}"), ("GET", "/api/v1/stats/summary"), + ("GET", "/api/v1/readings"), ("GET", "/api/v1/sensors/status"), } diff --git a/apps/backend/tests/api/test_readings.py b/apps/backend/tests/api/test_readings.py new file mode 100644 index 0000000..0d01aa8 --- /dev/null +++ b/apps/backend/tests/api/test_readings.py @@ -0,0 +1,198 @@ +from collections.abc import Callable, Iterator +from datetime import UTC, datetime +from uuid import uuid4 + +import pytest +from fastapi import FastAPI +from httpx import AsyncClient + +from app.api.deps import get_current_principal, get_reading_service +from app.core.principal import Principal +from app.core.roles import AccountKind, Role +from app.models.energy import Reading +from app.services.reading import FenetreInverseeError, FenetreTropLargeError + + +def principal(role: Role = Role.LECTEUR) -> Principal: + return Principal( + id=uuid4(), + email=f"{role.value}@enervision.fr", + role=role, + kind=AccountKind.HUMAIN, + must_change_password=False, + ) + + +def reading(reading_id: int = 1, site_id: str = "site-1") -> Reading: + return Reading( + reading_id=reading_id, + site_id=site_id, + timestamp=datetime(2026, 9, 16, tzinfo=UTC), + source="api_current", + consumption_kw=42.5, + consumption_kwh=None, + consumption_euros=None, + voltage_v=230.0, + current_a=None, + power_factor=None, + temperature_celsius=None, + humidity_percent=None, + solar_irradiance_wm2=None, + is_working_hours=True, + data_quality="good", + null_reasons=None, + imputed_values=None, + imputation_method=None, + raw_data={}, + ) + + +class FauxService: + def __init__(self, leve: Exception | None = None) -> None: + self.reading = reading() + self.leve = leve + self.appels: list[tuple[str | None, str | None, str | None, int, int]] = [] + + async def list_history( + self, + *, + site_id: str | None = None, + start: datetime | None = None, + end: datetime | None = None, + limit: int, + offset: int, + ) -> list[Reading]: + self.appels.append((site_id, start, end, limit, offset)) + if self.leve is not None: + raise self.leve + return [self.reading] + + +@pytest.fixture +def lecteur_connecte(app: FastAPI) -> Iterator[None]: + app.dependency_overrides[get_current_principal] = lambda: principal() + yield + app.dependency_overrides.pop(get_current_principal, None) + + +@pytest.fixture +def servi(app: FastAPI, lecteur_connecte: None) -> Iterator[Callable[..., FauxService]]: + def installe(*, leve: Exception | None = None) -> FauxService: + service = FauxService(leve=leve) + app.dependency_overrides[get_reading_service] = lambda: service + return service + + yield installe + app.dependency_overrides.pop(get_reading_service, None) + + +async def test_list_readings_returns_the_readings( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + servi() + + response = await client.get("/api/v1/readings") + + assert response.status_code == 200 + corps = response.json() + assert corps == [ + { + "reading_id": 1, + "site_id": "site-1", + "timestamp": "2026-09-16T00:00:00Z", + "source": "api_current", + "consumption_kw": 42.5, + "consumption_kwh": None, + "consumption_euros": None, + "voltage_v": 230.0, + "current_a": None, + "power_factor": None, + "temperature_celsius": None, + "humidity_percent": None, + "solar_irradiance_wm2": None, + "is_working_hours": True, + "data_quality": "good", + "null_reasons": None, + "imputed_values": None, + "imputation_method": None, + } + ] + + +async def test_list_readings_transmits_the_filters_and_pagination( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + service = servi() + + response = await client.get( + "/api/v1/readings", + params={ + "site_id": "site-1", + "start": "2026-09-01T00:00:00Z", + "end": "2026-09-02T00:00:00Z", + "limit": 50, + "offset": 10, + }, + ) + + assert response.status_code == 200 + assert service.appels == [ + ( + "site-1", + datetime(2026, 9, 1, tzinfo=UTC), + datetime(2026, 9, 2, tzinfo=UTC), + 50, + 10, + ) + ] + + +async def test_list_readings_returns_400_when_the_window_is_inverted( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + servi(leve=FenetreInverseeError()) + + response = await client.get("/api/v1/readings") + + assert response.status_code == 400 + + +async def test_list_readings_returns_400_when_the_window_is_too_large( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + servi(leve=FenetreTropLargeError()) + + response = await client.get("/api/v1/readings") + + assert response.status_code == 400 + + +async def test_list_readings_returns_422_for_a_limit_above_the_maximum( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + servi() + + response = await client.get("/api/v1/readings", params={"limit": 5000}) + + assert response.status_code == 422 + + +async def test_list_readings_returns_422_for_a_negative_offset( + servi: Callable[..., FauxService], client: AsyncClient +) -> None: + servi() + + response = await client.get("/api/v1/readings", params={"offset": -1}) + + assert response.status_code == 422 + + +async def test_list_readings_returns_an_empty_list_when_there_is_nothing( + lecteur_connecte: None, fake_session: Callable[..., None], client: AsyncClient +) -> None: + fake_session(result=[]) + + response = await client.get("/api/v1/readings") + + assert response.status_code == 200 + assert response.json() == [] diff --git a/apps/backend/tests/api/test_route_protection.py b/apps/backend/tests/api/test_route_protection.py index 9a04338..734c9db 100644 --- a/apps/backend/tests/api/test_route_protection.py +++ b/apps/backend/tests/api/test_route_protection.py @@ -18,6 +18,13 @@ ROUTES_PUBLIQUES = frozenset( ("POST", "/api/v1/auth/login"), # Sans cookie, la déconnexion ne fait rien et répond 204 : elle est idempotente. ("POST", "/api/v1/auth/logout"), + ("POST", "/api/v1/auth/forgot-password"), + # Protégée par le jeton dans le corps de la requête, pas par un `Principal` : aucune + # authentification préalable ne s'applique, c'est la validité du jeton qui tranche. + ("POST", "/api/v1/auth/reset-password"), + # Même raison : lecture seule, protégée par le jeton passé en paramètre, pas par un + # `Principal`. Le jeton est un secret de 256 bits, non brute-forçable. + ("GET", "/api/v1/auth/reset-password/validate"), ("GET", "/metrics"), } ) diff --git a/apps/backend/tests/etl/test_historical_import.py b/apps/backend/tests/etl/test_historical_import.py new file mode 100644 index 0000000..31f6e2d --- /dev/null +++ b/apps/backend/tests/etl/test_historical_import.py @@ -0,0 +1,239 @@ +import hashlib +import json + +import pandas as pd +import pytest + +from app.etl.historical_import import ( + SOURCE_NAME, + build_reading_batch, + classify_quality, + compute_sha256, + load_metadata, + normalize_timestamps, + validate_source, +) + + +def make_metadata() -> dict: + return { + "total_records": 2, + "sites": { + "SITE001": {}, + }, + } + + +def make_dataframe() -> pd.DataFrame: + return pd.DataFrame( + [ + { + "timestamp": "2023-01-01 00:00:00", + "site_id": "SITE001", + "site_type": "office", + "site_name": "Site 1", + "consumption_kwh": 10.5, + "consumption_euros": 2.5, + "temperature_celsius": 20.0, + "humidity_percent": 50.0, + "solar_irradiance_wm2": 0.0, + "hour": 0, + "day_of_week": 6, + "day_name": "Sunday", + "month": 1, + "is_weekend": True, + "is_working_hours": False, + }, + { + "timestamp": "2023-01-01 01:00:00", + "site_id": "SITE001", + "site_type": "office", + "site_name": "Site 1", + "consumption_kwh": 11.0, + "consumption_euros": 2.7, + "temperature_celsius": 19.5, + "humidity_percent": 52.0, + "solar_irradiance_wm2": 0.0, + "hour": 1, + "day_of_week": 6, + "day_name": "Sunday", + "month": 1, + "is_weekend": True, + "is_working_hours": False, + }, + ] + ) + + +def test_compute_sha256(tmp_path): + file_path = tmp_path / "dataset.csv" + content = b"hello-enervision" + + file_path.write_bytes(content) + + expected = hashlib.sha256(content).hexdigest() + + assert compute_sha256(file_path) == expected + + +def test_load_metadata(tmp_path): + metadata_path = tmp_path / "metadata.json" + + metadata = { + "total_records": 2, + "sites": { + "SITE001": {}, + }, + } + + metadata_path.write_text( + json.dumps(metadata), + encoding="utf-8", + ) + + assert load_metadata(metadata_path) == metadata + + +def test_validate_source_accepts_valid_dataset(): + frame = make_dataframe() + + validate_source( + frame, + make_metadata(), + ) + + +def test_validate_source_rejects_missing_column(): + frame = make_dataframe().drop(columns=["consumption_kwh"]) + + with pytest.raises( + ValueError, + match="Colonnes obligatoires absentes", + ): + validate_source( + frame, + make_metadata(), + ) + + +def test_validate_source_rejects_duplicates(): + frame = make_dataframe() + + frame.loc[1, "timestamp"] = frame.loc[ + 0, + "timestamp", + ] + + with pytest.raises( + ValueError, + match="doublons", + ): + validate_source( + frame, + make_metadata(), + ) + + +def test_validate_source_rejects_unknown_site(): + frame = make_dataframe() + + frame.loc[1, "site_id"] = "SITE999" + + with pytest.raises( + ValueError, + match="Sites incohérents", + ): + validate_source( + frame, + make_metadata(), + ) + + +def test_normalize_timestamps_adds_timezone(): + frame = make_dataframe() + + normalized = normalize_timestamps( + frame, + "UTC", + ) + + assert normalized["timestamp"].dt.tz is not None + + assert "_source_timestamp" in normalized.columns + + +def test_classify_quality_good(): + row = make_dataframe().iloc[0].to_dict() + + quality, reasons = classify_quality(row) + + assert quality == "good" + assert reasons == [] + + +def test_classify_quality_degraded_when_consumption_missing(): + row = make_dataframe().iloc[0].to_dict() + row["consumption_kwh"] = None + + quality, reasons = classify_quality(row) + + assert quality == "degraded" + + assert "missing:consumption_kwh" in reasons + + +def test_build_reading_batch_respects_database_contract(): + frame = normalize_timestamps( + make_dataframe(), + "UTC", + ) + + rows = build_reading_batch( + frame.iloc[:1], + dataset_id=3, + ) + + assert len(rows) == 1 + + row = rows[0] + + assert row["dataset_id"] == 3 + + # Important : + # contrainte ck_reading_dataset_source. + assert row["source"] == "csv" + assert SOURCE_NAME == "csv" + + # Important : + # contrainte ck_reading_imputation. + assert row["imputed_values"] is None + assert row["imputation_method"] is None + + assert row["data_quality"] == "good" + assert row["null_reasons"] == [] + + +def test_build_reading_batch_keeps_missing_values(): + frame = make_dataframe() + + frame.loc[0, "temperature_celsius"] = None + + frame = normalize_timestamps( + frame, + "UTC", + ) + + rows = build_reading_batch( + frame.iloc[:1], + dataset_id=3, + ) + + row = rows[0] + + assert row["temperature_celsius"] is None + + assert "missing:temperature_celsius" in row["null_reasons"] + + # RAW ingestion : aucune imputation. + assert row["imputed_values"] is None + assert row["imputation_method"] is None diff --git a/apps/backend/tests/repositories/test_password_reset_token.py b/apps/backend/tests/repositories/test_password_reset_token.py new file mode 100644 index 0000000..fe99800 --- /dev/null +++ b/apps/backend/tests/repositories/test_password_reset_token.py @@ -0,0 +1,142 @@ +# Le premier test démontre l'atomicité de `consume()` : sur un double, deux soumissions +# concurrentes du même lien réussiraient toutes les deux. + +import uuid +from datetime import UTC, datetime, timedelta + +import pytest +from sqlalchemy.exc import IntegrityError +from sqlalchemy.ext.asyncio import AsyncSession + +from app.core.roles import Role +from app.core.security import fingerprint_refresh, generate_refresh_secret +from app.repositories.password_reset_token import PasswordResetTokenRepository +from app.repositories.user import UserRepository + +pytestmark = pytest.mark.integration + +DUREE = timedelta(minutes=15) + + +async def un_compte(session: AsyncSession) -> uuid.UUID: + compte = await UserRepository(session).create( + email=f"reset-{uuid.uuid4().hex[:12]}@enervision.fr", + password_hash="$argon2id$x", + role=Role.LECTEUR, + ) + return compte.id + + +async def un_jeton( + depot: PasswordResetTokenRepository, user_id: uuid.UUID, *, duree: timedelta = DUREE +) -> str: + secret = generate_refresh_secret() + await depot.create( + user_id=user_id, + token_hash=fingerprint_refresh(secret), + expires_at=datetime.now(UTC) + duree, + client_ip="203.0.113.10", + user_agent="pytest", + ) + return secret + + +async def test_consume_only_succeeds_once(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + secret = await un_jeton(depot, await un_compte(session)) + + premier = await depot.consume(fingerprint_refresh(secret)) + second = await depot.consume(fingerprint_refresh(secret)) + await session.rollback() + + assert premier is not None + assert second is None + + +async def test_consume_refuses_an_expired_token(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + secret = await un_jeton(depot, await un_compte(session), duree=-timedelta(minutes=1)) + + revendique = await depot.consume(fingerprint_refresh(secret)) + await session.rollback() + + assert revendique is None + + +async def test_consume_returns_nothing_for_an_unknown_fingerprint( + session: AsyncSession, +) -> None: + revendique = await PasswordResetTokenRepository(session).consume( + fingerprint_refresh(generate_refresh_secret()) + ) + + assert revendique is None + + +async def test_invalidate_all_for_user_only_touches_living_tokens( + session: AsyncSession, +) -> None: + depot = PasswordResetTokenRepository(session) + compte = await un_compte(session) + await un_jeton(depot, compte) + await un_jeton(depot, compte) + + invalides = await depot.invalidate_all_for_user(compte) + second_passage = await depot.invalidate_all_for_user(compte) + await session.rollback() + + assert invalides == 2 + assert second_passage == 0 + + +async def test_exists_valid_is_true_for_a_living_token(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + secret = await un_jeton(depot, await un_compte(session)) + + assert await depot.exists_valid(fingerprint_refresh(secret)) is True + + +async def test_exists_valid_is_false_for_an_expired_token(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + secret = await un_jeton(depot, await un_compte(session), duree=-timedelta(minutes=1)) + + assert await depot.exists_valid(fingerprint_refresh(secret)) is False + + +async def test_exists_valid_is_false_once_the_token_is_consumed(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + secret = await un_jeton(depot, await un_compte(session)) + await depot.consume(fingerprint_refresh(secret)) + + assert await depot.exists_valid(fingerprint_refresh(secret)) is False + + +async def test_exists_valid_is_false_for_an_unknown_fingerprint(session: AsyncSession) -> None: + depot = PasswordResetTokenRepository(session) + + assert await depot.exists_valid(fingerprint_refresh(generate_refresh_secret())) is False + + +async def test_the_database_refuses_two_tokens_sharing_a_fingerprint( + session: AsyncSession, +) -> None: + depot = PasswordResetTokenRepository(session) + compte = await un_compte(session) + secret = generate_refresh_secret() + await depot.create( + user_id=compte, + token_hash=fingerprint_refresh(secret), + expires_at=datetime.now(UTC) + DUREE, + client_ip=None, + user_agent=None, + ) + + with pytest.raises(IntegrityError): + await depot.create( + user_id=compte, + token_hash=fingerprint_refresh(secret), + expires_at=datetime.now(UTC) + DUREE, + client_ip=None, + user_agent=None, + ) + await session.rollback() diff --git a/apps/backend/tests/repositories/test_reading.py b/apps/backend/tests/repositories/test_reading.py index 650d49a..150fa29 100644 --- a/apps/backend/tests/repositories/test_reading.py +++ b/apps/backend/tests/repositories/test_reading.py @@ -6,6 +6,8 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.models.energy import Reading, Site from app.repositories.reading import ReadingRepository +from tests.repositories.test_site import creer as creer_site +from tests.repositories.test_site import identifiant as identifiant_site pytestmark = pytest.mark.integration @@ -25,6 +27,20 @@ def lecture(site_id: str, *, timestamp: datetime, consumption_kw: float) -> Read ) +async def creer_lecture(session: AsyncSession, *, site_id: str, **overrides: object) -> Reading: + reading = Reading( + site_id=site_id, + timestamp=overrides.get("timestamp", datetime(2026, 9, 16, tzinfo=UTC)), + source=overrides.get("source", "api_current"), + consumption_kw=overrides.get("consumption_kw", 10.0), + data_quality=overrides.get("data_quality", "good"), + raw_data=overrides.get("raw_data", {}), + ) + session.add(reading) + await session.flush() + return reading + + async def test_latest_by_site_keeps_only_the_most_recent_reading(session: AsyncSession) -> None: site_id = identifiant() maintenant = datetime.now(UTC) @@ -70,3 +86,110 @@ async def test_latest_by_site_returns_one_row_per_site(session: AsyncSession) -> await session.rollback() assert identifiants == {premier, second} + + +async def test_list_history_orders_the_readings_by_timestamp_descending( + session: AsyncSession, +) -> None: + site = await creer_site(session) + depot = ReadingRepository(session) + ancienne = await creer_lecture( + session, site_id=site.site_id, timestamp=datetime(2026, 9, 1, tzinfo=UTC) + ) + recente = await creer_lecture( + session, site_id=site.site_id, timestamp=datetime(2026, 9, 15, tzinfo=UTC) + ) + + resultats = await depot.list_history( + start=datetime(2026, 8, 1, tzinfo=UTC), + end=datetime(2026, 10, 1, tzinfo=UTC), + limit=100, + offset=0, + ) + identifiants = [ + r.reading_id for r in resultats if r.reading_id in (ancienne.reading_id, recente.reading_id) + ] + await session.rollback() + + assert identifiants == [recente.reading_id, ancienne.reading_id] + + +async def test_list_history_filters_by_site_id(session: AsyncSession) -> None: + premier = await creer_site(session) + second = await creer_site(session) + depot = ReadingRepository(session) + voulue = await creer_lecture(session, site_id=premier.site_id) + await creer_lecture(session, site_id=second.site_id) + + resultats = await depot.list_history( + site_id=premier.site_id, + start=datetime(2026, 8, 1, tzinfo=UTC), + end=datetime(2026, 10, 1, tzinfo=UTC), + limit=100, + offset=0, + ) + identifiants = [r.reading_id for r in resultats] + await session.rollback() + + assert identifiants == [voulue.reading_id] + + +async def test_list_history_excludes_readings_outside_the_window(session: AsyncSession) -> None: + site = await creer_site(session) + depot = ReadingRepository(session) + dedans = await creer_lecture( + session, site_id=site.site_id, timestamp=datetime(2026, 9, 10, tzinfo=UTC) + ) + await creer_lecture(session, site_id=site.site_id, timestamp=datetime(2026, 8, 1, tzinfo=UTC)) + await creer_lecture(session, site_id=site.site_id, timestamp=datetime(2026, 10, 1, tzinfo=UTC)) + + resultats = await depot.list_history( + site_id=site.site_id, + start=datetime(2026, 9, 1, tzinfo=UTC), + end=datetime(2026, 9, 30, tzinfo=UTC), + limit=100, + offset=0, + ) + identifiants = [r.reading_id for r in resultats] + await session.rollback() + + assert identifiants == [dedans.reading_id] + + +async def test_list_history_respects_limit_and_offset(session: AsyncSession) -> None: + site = await creer_site(session) + depot = ReadingRepository(session) + lectures = [ + await creer_lecture( + session, site_id=site.site_id, timestamp=datetime(2026, 9, jour, tzinfo=UTC) + ) + for jour in (1, 2, 3) + ] + + resultats = await depot.list_history( + site_id=site.site_id, + start=datetime(2026, 8, 1, tzinfo=UTC), + end=datetime(2026, 10, 1, tzinfo=UTC), + limit=1, + offset=1, + ) + identifiants = [r.reading_id for r in resultats] + await session.rollback() + + assert identifiants == [lectures[1].reading_id] + + +async def test_list_history_returns_an_empty_list_when_there_is_nothing( + session: AsyncSession, +) -> None: + depot = ReadingRepository(session) + + resultats = await depot.list_history( + site_id=identifiant_site(), + start=datetime(2026, 8, 1, tzinfo=UTC), + end=datetime(2026, 10, 1, tzinfo=UTC), + limit=100, + offset=0, + ) + + assert list(resultats) == [] diff --git a/apps/backend/tests/schemas/__init__.py b/apps/backend/tests/schemas/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/backend/tests/schemas/test_auth.py b/apps/backend/tests/schemas/test_auth.py new file mode 100644 index 0000000..956e1e4 --- /dev/null +++ b/apps/backend/tests/schemas/test_auth.py @@ -0,0 +1,61 @@ +import pytest +from pydantic import ValidationError + +from app.schemas.auth import PasswordChangeRequest, valide_complexite + +MOT_DE_PASSE_VALIDE = "Un-mot-de-passe1!" + + +def test_password_change_request_accepts_a_password_covering_the_four_classes() -> None: + requete = PasswordChangeRequest( + current_password="peu-importe", new_password=MOT_DE_PASSE_VALIDE + ) + + assert requete.new_password == MOT_DE_PASSE_VALIDE + + +@pytest.mark.parametrize( + "new_password", + [ + "un-mot-de-passe1!", + "UN-MOT-DE-PASSE1!", + "Un-mot-de-passe!", + "Un mot de passe 1", + ], + ids=["sans_majuscule", "sans_minuscule", "sans_chiffre", "sans_caractere_special"], +) +def test_password_change_request_rejects_a_password_missing_a_character_class( + new_password: str, +) -> None: + with pytest.raises(ValidationError): + PasswordChangeRequest(current_password="peu-importe", new_password=new_password) + + +def test_password_change_request_rejects_a_password_below_the_minimum_length() -> None: + with pytest.raises(ValidationError): + PasswordChangeRequest(current_password="peu-importe", new_password="Ab1!") + + +def test_valide_complexite_names_every_missing_class_in_the_error() -> None: + with pytest.raises(ValueError, match=r"majuscule.*chiffre|chiffre.*majuscule"): + valide_complexite("minuscules-seulement") + + +def test_valide_complexite_accepts_an_accented_password() -> None: + assert valide_complexite("Sécurité1!") == "Sécurité1!" + + +@pytest.mark.parametrize("mot_de_passe", ["abcdefg1×", "abcdefg1÷"]) # noqa: RUF001 +def test_valide_complexite_rejects_a_password_without_uppercase_despite_times_or_divide( + mot_de_passe: str, +) -> None: + with pytest.raises(ValueError, match="majuscule"): + valide_complexite(mot_de_passe) + + +@pytest.mark.parametrize("mot_de_passe", ["ABCDEFG1×", "ABCDEFG1÷"]) # noqa: RUF001 +def test_valide_complexite_rejects_a_password_without_lowercase_despite_times_or_divide( + mot_de_passe: str, +) -> None: + with pytest.raises(ValueError, match="minuscule"): + valide_complexite(mot_de_passe) diff --git a/apps/backend/tests/services/test_auth.py b/apps/backend/tests/services/test_auth.py index 9b8c42c..50a906a 100644 --- a/apps/backend/tests/services/test_auth.py +++ b/apps/backend/tests/services/test_auth.py @@ -5,6 +5,7 @@ from typing import Any from uuid import UUID, uuid4 import pytest +from fastapi import BackgroundTasks from app.core.principal import Principal from app.core.roles import AccountKind, Role @@ -16,11 +17,15 @@ from app.core.security import ( from app.models.login_attempt import LoginOutcome from app.models.refresh_token import RevocationReason from app.repositories.login_attempt import FailureCounts +from app.repositories.password_reset_attempt import ResetRequestCounts +from app.repositories.password_reset_token import ConsumedResetToken from app.repositories.refresh_token import ClaimedToken from app.services.auth import ( AuthService, InvalidCredentialsError, + InvalidOrExpiredResetTokenError, LoginPolicy, + PasswordResetPolicy, RateLimitedError, SessionRejectedError, ) @@ -37,6 +42,13 @@ POLITIQUE_CONNEXION = LoginPolicy( max_failures_per_ip=20, max_failures_per_identifier=50, ) +POLITIQUE_RESET = PasswordResetPolicy( + window_seconds=900, + max_requests_per_identifier=3, + max_requests_per_ip=10, + token_ttl=timedelta(minutes=15), + frontend_reset_url="http://localhost:4200/reset-password", +) @dataclass @@ -168,6 +180,49 @@ class FausseTransaction: self.validations += 1 +class FauxDepotJetonsReset: + def __init__( + self, revendique: ConsumedResetToken | None = None, *, valide: bool = False + ) -> None: + self.revendique = revendique + self.valide = valide + self.crees: list[UUID] = [] + self.invalidations: list[UUID] = [] + + async def create(self, *, user_id: UUID, **_: object) -> None: + self.crees.append(user_id) + + async def consume(self, token_hash: bytes) -> ConsumedResetToken | None: + return self.revendique + + async def exists_valid(self, token_hash: bytes) -> bool: + return self.valide + + async def invalidate_all_for_user(self, user_id: UUID) -> int: + self.invalidations.append(user_id) + return len(self.invalidations) + + +class FauxDepotTentativesReset: + def __init__(self, compteurs: ResetRequestCounts | None = None) -> None: + self.compteurs = compteurs or ResetRequestCounts(0, 0) + self.enregistrees: list[str] = [] + + async def count_recent(self, **_: object) -> ResetRequestCounts: + return self.compteurs + + async def record(self, *, email: str, **_: object) -> None: + self.enregistrees.append(email) + + +class FauxMailer: + def __init__(self) -> None: + self.envois: list[tuple[str, str]] = [] + + async def send_password_reset_email(self, *, to: str, reset_url: str) -> None: + self.envois.append((to, reset_url)) + + @dataclass class Attirail: service: AuthService @@ -176,6 +231,9 @@ class Attirail: jetons: FauxDepotJetons audit: FauxDepotAudit hacheur: FauxHacheur + jetons_reset: FauxDepotJetonsReset + tentatives_reset: FauxDepotTentativesReset + mailer: FauxMailer def fabrique_service( @@ -184,12 +242,17 @@ def fabrique_service( compteurs: FailureCounts | None = None, hacheur: FauxHacheur | None = None, jetons: FauxDepotJetons | None = None, + jetons_reset: FauxDepotJetonsReset | None = None, + compteurs_reset: ResetRequestCounts | None = None, ) -> Attirail: comptes = FauxDepotComptes(compte) tentatives = FauxDepotTentatives(compteurs) depot_jetons = jetons or FauxDepotJetons() audit = FauxDepotAudit() hacheur = hacheur or FauxHacheur() + depot_jetons_reset = jetons_reset or FauxDepotJetonsReset() + tentatives_reset = FauxDepotTentativesReset(compteurs_reset) + mailer = FauxMailer() service = AuthService( users=comptes, # type: ignore[arg-type] attempts=tentatives, # type: ignore[arg-type] @@ -200,8 +263,22 @@ def fabrique_service( token_policy=POLITIQUE_JETON, login_policy=POLITIQUE_CONNEXION, refresh_ttl=timedelta(days=7), + reset_tokens=depot_jetons_reset, # type: ignore[arg-type] + reset_attempts=tentatives_reset, # type: ignore[arg-type] + reset_policy=POLITIQUE_RESET, + mailer=mailer, # type: ignore[arg-type] + ) + return Attirail( + service, + comptes, + tentatives, + depot_jetons, + audit, + hacheur, + depot_jetons_reset, + tentatives_reset, + mailer, ) - return Attirail(service, comptes, tentatives, depot_jetons, audit, hacheur) async def connecte(service: AuthService, mot_de_passe: str = "un-mot-de-passe-valide") -> object: @@ -493,3 +570,148 @@ async def test_change_password_refuses_a_wrong_current_password() -> None: assert attirail.jetons.revocations_par_compte == [] assert attirail.jetons.crees == [] + + +async def test_request_password_reset_emails_a_link_when_the_account_exists() -> None: + compte = FauxCompte() + attirail = fabrique_service(compte=compte) + taches = BackgroundTasks() + + await attirail.service.request_password_reset( + email=compte.email, client_ip="203.0.113.10", user_agent="pytest", background_tasks=taches + ) + + assert attirail.jetons_reset.invalidations == [compte.id] + assert attirail.jetons_reset.crees == [compte.id] + assert attirail.mailer.envois == [], "l'envoi doit être différé, pas fait dans la réponse" + await taches() + assert len(attirail.mailer.envois) == 1 + assert attirail.mailer.envois[0][0] == compte.email + assert "auth.password_reset_requested" in attirail.audit.lignes[0][0] + + +async def test_request_password_reset_stays_silent_when_the_account_is_unknown() -> None: + attirail = fabrique_service(compte=None) + taches = BackgroundTasks() + + await attirail.service.request_password_reset( + email="inconnu@enervision.fr", + client_ip="203.0.113.10", + user_agent="pytest", + background_tasks=taches, + ) + await taches() + + assert attirail.jetons_reset.crees == [] + assert attirail.mailer.envois == [] + assert attirail.hacheur.verifications == 1, "le hachage factice doit tout de même tourner" + + +async def test_request_password_reset_stays_silent_when_the_account_is_inactive() -> None: + compte = FauxCompte(is_active=False) + attirail = fabrique_service(compte=compte) + taches = BackgroundTasks() + + await attirail.service.request_password_reset( + email=compte.email, client_ip="203.0.113.10", user_agent="pytest", background_tasks=taches + ) + await taches() + + assert attirail.jetons_reset.crees == [] + assert attirail.mailer.envois == [] + + +async def test_request_password_reset_raises_when_the_rate_limit_is_reached() -> None: + attirail = fabrique_service(compteurs_reset=ResetRequestCounts(per_identifier=3, per_ip=0)) + taches = BackgroundTasks() + + with pytest.raises(RateLimitedError): + await attirail.service.request_password_reset( + email="operateur@enervision.fr", + client_ip="203.0.113.10", + user_agent="pytest", + background_tasks=taches, + ) + + await taches() + assert attirail.mailer.envois == [] + + +async def test_request_password_reset_logs_instead_of_raising_when_the_mailer_fails() -> None: + compte = FauxCompte() + attirail = fabrique_service(compte=compte) + taches = BackgroundTasks() + + async def echoue(*, to: str, reset_url: str) -> None: + raise RuntimeError("relais SMTP indisponible") + + attirail.mailer.send_password_reset_email = echoue # type: ignore[method-assign] + + await attirail.service.request_password_reset( + email=compte.email, client_ip="203.0.113.10", user_agent="pytest", background_tasks=taches + ) + + await taches() + + +async def test_confirm_password_reset_revokes_every_session_then_reopens_the_current_one() -> None: + compte = FauxCompte() + jetons_reset = FauxDepotJetonsReset( + revendique=ConsumedResetToken(id=uuid4(), user_id=compte.id) + ) + attirail = fabrique_service(compte=compte, jetons_reset=jetons_reset) + + session = await attirail.service.confirm_password_reset( + token="un-secret-opaque", + new_password="Un-nouveau-mot-de-passe1!", + client_ip="203.0.113.10", + user_agent="pytest", + ) + + assert attirail.jetons.revocations_par_compte == [ + (compte.id, RevocationReason.CHANGEMENT_MOT_DE_PASSE.value) + ] + assert len(attirail.jetons.crees) == 1 + assert session.refresh_secret + assert "auth.password_reset_self_service" in attirail.audit.lignes[0][0] + + +async def test_is_reset_token_valid_reflects_the_repository() -> None: + attirail_valide = fabrique_service(jetons_reset=FauxDepotJetonsReset(valide=True)) + attirail_invalide = fabrique_service(jetons_reset=FauxDepotJetonsReset(valide=False)) + + assert await attirail_valide.service.is_reset_token_valid("un-secret-opaque") is True + assert await attirail_invalide.service.is_reset_token_valid("un-secret-opaque") is False + + +async def test_confirm_password_reset_rejects_a_token_for_an_account_disabled_since() -> None: + compte = FauxCompte(is_active=False) + jetons_reset = FauxDepotJetonsReset( + revendique=ConsumedResetToken(id=uuid4(), user_id=compte.id) + ) + attirail = fabrique_service(compte=compte, jetons_reset=jetons_reset) + + with pytest.raises(InvalidOrExpiredResetTokenError): + await attirail.service.confirm_password_reset( + token="un-secret-opaque", + new_password="Un-nouveau-mot-de-passe1!", + client_ip="203.0.113.10", + user_agent="pytest", + ) + + assert attirail.comptes.mots_de_passe_changes == 0 + assert attirail.jetons.revocations_par_compte == [] + + +async def test_confirm_password_reset_rejects_an_invalid_or_expired_token() -> None: + attirail = fabrique_service(jetons_reset=FauxDepotJetonsReset(revendique=None)) + + with pytest.raises(InvalidOrExpiredResetTokenError): + await attirail.service.confirm_password_reset( + token="un-secret-invalide", + new_password="Un-nouveau-mot-de-passe1!", + client_ip=None, + user_agent=None, + ) + + assert attirail.jetons.revocations_par_compte == [] diff --git a/apps/backend/tests/services/test_reading.py b/apps/backend/tests/services/test_reading.py new file mode 100644 index 0000000..a3f0826 --- /dev/null +++ b/apps/backend/tests/services/test_reading.py @@ -0,0 +1,153 @@ +from datetime import UTC, datetime, timedelta + +import pytest + +from app.models.energy import Reading +from app.services.reading import ( + FENETRE_MAXIMALE, + FENETRE_PAR_DEFAUT, + FenetreInverseeError, + FenetreTropLargeError, + ReadingService, +) + + +def reading(reading_id: int = 1, site_id: str = "site-1") -> Reading: + return Reading( + reading_id=reading_id, + site_id=site_id, + timestamp=datetime(2026, 9, 16, tzinfo=UTC), + source="api_current", + consumption_kw=10.0, + data_quality="good", + raw_data={}, + ) + + +class FakeRepository: + def __init__(self, readings: list[Reading]) -> None: + self._readings = readings + self.appels: list[tuple[str | None, datetime, datetime, int, int]] = [] + + async def list_history( + self, + *, + start: datetime, + end: datetime, + site_id: str | None = None, + limit: int, + offset: int, + ) -> list[Reading]: + self.appels.append((site_id, start, end, limit, offset)) + return self._readings + + +async def test_list_history_returns_the_repository_readings() -> None: + service = ReadingService(readings=FakeRepository([reading(1), reading(2)])) + + lectures = await service.list_history(limit=500, offset=0) + + assert [r.reading_id for r in lectures] == [1, 2] + + +async def test_list_history_relays_the_site_id_limit_and_offset() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + debut = datetime(2026, 9, 1, tzinfo=UTC) + fin = datetime(2026, 9, 2, tzinfo=UTC) + + await service.list_history(site_id="site-1", start=debut, end=fin, limit=50, offset=10) + + assert depot.appels == [("site-1", debut, fin, 50, 10)] + + +async def test_list_history_defaults_to_the_last_24_hours_when_no_window_is_given() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + avant = datetime.now(UTC) + + await service.list_history(limit=500, offset=0) + + apres = datetime.now(UTC) + _, debut, fin, _, _ = depot.appels[0] + assert avant <= fin <= apres + assert fin - debut == FENETRE_PAR_DEFAUT + + +async def test_list_history_defaults_end_to_now_when_only_start_is_given() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + debut = datetime.now(UTC) - timedelta(hours=1) + avant = datetime.now(UTC) + + await service.list_history(start=debut, limit=500, offset=0) + + apres = datetime.now(UTC) + _, debut_transmis, fin, _, _ = depot.appels[0] + assert debut_transmis == debut + assert avant <= fin <= apres + + +async def test_list_history_defaults_start_to_24_hours_before_end_when_only_end_is_given() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + fin = datetime(2026, 9, 16, tzinfo=UTC) + + await service.list_history(end=fin, limit=500, offset=0) + + _, debut, fin_transmise, _, _ = depot.appels[0] + assert fin_transmise == fin + assert debut == fin - FENETRE_PAR_DEFAUT + + +async def test_list_history_normalizes_naive_datetimes_to_utc() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + + await service.list_history( + start=datetime(2026, 9, 1), end=datetime(2026, 9, 2), limit=500, offset=0 + ) + + _, debut, fin, _, _ = depot.appels[0] + assert debut == datetime(2026, 9, 1, tzinfo=UTC) + assert fin == datetime(2026, 9, 2, tzinfo=UTC) + + +async def test_list_history_raises_when_start_is_after_end() -> None: + service = ReadingService(readings=FakeRepository([])) + + with pytest.raises(FenetreInverseeError): + await service.list_history( + start=datetime(2026, 9, 2, tzinfo=UTC), + end=datetime(2026, 9, 1, tzinfo=UTC), + limit=500, + offset=0, + ) + + +async def test_list_history_raises_when_start_equals_end() -> None: + service = ReadingService(readings=FakeRepository([])) + instant = datetime(2026, 9, 1, tzinfo=UTC) + + with pytest.raises(FenetreInverseeError): + await service.list_history(start=instant, end=instant, limit=500, offset=0) + + +async def test_list_history_raises_when_the_window_exceeds_the_maximum_span() -> None: + service = ReadingService(readings=FakeRepository([])) + debut = datetime(2026, 1, 1, tzinfo=UTC) + fin = debut + FENETRE_MAXIMALE + timedelta(seconds=1) + + with pytest.raises(FenetreTropLargeError): + await service.list_history(start=debut, end=fin, limit=500, offset=0) + + +async def test_list_history_accepts_a_window_exactly_at_the_maximum_span() -> None: + depot = FakeRepository([]) + service = ReadingService(readings=depot) + debut = datetime(2026, 1, 1, tzinfo=UTC) + fin = debut + FENETRE_MAXIMALE + + await service.list_history(start=debut, end=fin, limit=500, offset=0) + + assert depot.appels == [(None, debut, fin, 500, 0)] diff --git a/apps/backend/tests/test_cli.py b/apps/backend/tests/test_cli.py index 40b8317..7344bf7 100644 --- a/apps/backend/tests/test_cli.py +++ b/apps/backend/tests/test_cli.py @@ -4,6 +4,7 @@ from pathlib import Path import pytest from app import cli +from app.schemas.auth import valide_complexite def test_build_parser_reads_the_create_admin_arguments() -> None: @@ -34,26 +35,36 @@ def test_read_password_generates_a_long_secret_when_asked( assert len(mot_de_passe) >= cli.LONGUEUR_MOT_DE_PASSE_GENERE assert mot_de_passe in capsys.readouterr().out + valide_complexite(mot_de_passe) def test_read_password_accepts_two_matching_entries(monkeypatch: pytest.MonkeyPatch) -> None: - saisies = iter(["un-mot-de-passe-valide", "un-mot-de-passe-valide"]) + saisies = iter(["Un-mot-de-passe-valide1", "Un-mot-de-passe-valide1"]) monkeypatch.setattr(cli, "getpass", lambda _: next(saisies)) - assert cli.read_password(generate=False) == "un-mot-de-passe-valide" + assert cli.read_password(generate=False) == "Un-mot-de-passe-valide1" def test_read_password_refuses_a_password_below_the_minimum_length( monkeypatch: pytest.MonkeyPatch, ) -> None: - monkeypatch.setattr(cli, "getpass", lambda _: "court") + monkeypatch.setattr(cli, "getpass", lambda _: "Court1!") + + with pytest.raises(SystemExit): + cli.read_password(generate=False) + + +def test_read_password_refuses_a_password_missing_a_character_class( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(cli, "getpass", lambda _: "un-mot-de-passe-sans-majuscule-ni-chiffre") with pytest.raises(SystemExit): cli.read_password(generate=False) def test_read_password_refuses_two_different_entries(monkeypatch: pytest.MonkeyPatch) -> None: - saisies = iter(["un-mot-de-passe-valide", "un-autre-mot-de-passe"]) + saisies = iter(["Un-mot-de-passe-valide1", "Un-autre-mot-de-passe2"]) monkeypatch.setattr(cli, "getpass", lambda _: next(saisies)) with pytest.raises(SystemExit): diff --git a/apps/backend/uv.lock b/apps/backend/uv.lock index 7c2b8f4..59ff61b 100644 --- a/apps/backend/uv.lock +++ b/apps/backend/uv.lock @@ -1,6 +1,20 @@ version = 1 revision = 3 requires-python = "==3.14.*" +resolution-markers = [ + "sys_platform == 'win32'", + "sys_platform == 'emscripten'", + "sys_platform != 'emscripten' and sys_platform != 'win32'", +] + +[[package]] +name = "aiosmtplib" +version = "5.1.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9b/5c/9cabc5db6d607616e81ba6d8f1f231cd5a75955807a308c1090a59072d6d/aiosmtplib-5.1.3.tar.gz", hash = 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{ name = "pytest-asyncio" }, { name = "pytest-cov" }, @@ -332,11 +349,13 @@ dev = [ [package.metadata] requires-dist = [ + { name = "aiosmtplib", specifier = ">=5.1.3" }, { name = "alembic", specifier = ">=1.20.0" }, { name = "anyio", specifier = ">=4.0" }, { name = "argon2-cffi", specifier = ">=23.1" }, { name = "asyncpg", specifier = ">=0.31.0" }, { name = "fastapi", specifier = ">=0.141.1" }, + { name = "pandas", specifier = ">=3.0.5" }, { name = "prometheus-fastapi-instrumentator", specifier = ">=8.1.0" }, { name = "pydantic", extras = ["email"], specifier = ">=2.13.5" }, { name = "pydantic-settings", specifier = ">=2.15.0" }, @@ -350,6 +369,7 @@ requires-dist = [ dev = [ { name = "httpx", specifier = ">=0.28.1" }, { name = "mypy", specifier = ">=2.3.1" }, + { name = "pandas-stubs", specifier = ">=3.0.5.260914" }, { name = "pytest", specifier = ">=9.1.1" }, { name = "pytest-asyncio", specifier = ">=1.4.0" }, { name = "pytest-cov", specifier = ">=7.1.0" }, @@ -595,6 +615,35 @@ 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"sha256:c2169a8b0a7a5e9674da5a135ccdfb2b3e671b333ed9fed17b41f73c34476e81", size = 347494, upload-time = "2026-09-12T12:56:01.67Z" }, +] + [[package]] name = "uvicorn" version = "0.53.0" diff --git a/apps/frontend/src/app/app.routes.ts b/apps/frontend/src/app/app.routes.ts index b3e97d8..72e20f5 100644 --- a/apps/frontend/src/app/app.routes.ts +++ b/apps/frontend/src/app/app.routes.ts @@ -5,6 +5,8 @@ export const routes: Routes = [ { path: '', redirectTo: 'dashboard', pathMatch: 'full' }, { path: 'login', loadComponent: () => import('./features/auth/login/login').then(m => m.Login) }, { path: 'change-password', loadComponent: () => import('./features/auth/change-password/change-password').then(m => m.ChangePassword) }, + { path: 'forgot-password', loadComponent: () => import('./features/auth/forgot-password/forgot-password').then(m => m.ForgotPassword) }, + { path: 'reset-password', loadComponent: () => import('./features/auth/reset-password/reset-password').then(m => m.ResetPassword) }, { path: 'dashboard', canActivate: [authGuard], diff --git a/apps/frontend/src/app/core/interceptors/auth-interceptor.spec.ts b/apps/frontend/src/app/core/interceptors/auth-interceptor.spec.ts index 8f74cd8..9064aaf 100644 --- a/apps/frontend/src/app/core/interceptors/auth-interceptor.spec.ts +++ b/apps/frontend/src/app/core/interceptors/auth-interceptor.spec.ts @@ -41,7 +41,10 @@ describe('authInterceptor', () => { httpMock = TestBed.inject(HttpTestingController); }); - afterEach(() => httpMock.verify()); + afterEach(() => { + httpMock.verify(); + vi.restoreAllMocks(); + }); it('ajoute le header Authorization quand un token est disponible', () => { http.get('/api/v1/stats/summary').subscribe(); @@ -97,6 +100,19 @@ describe('authInterceptor', () => { expect(routerMock.navigate).toHaveBeenCalledWith(['/login']); }); + it("ne redirige pas vers /login sur un 401 de /auth/refresh si on est déjà sur /reset-password", () => { + vi.spyOn(window, 'location', 'get').mockReturnValue({ + pathname: '/reset-password', + } as Location); + + http.post('/api/v1/auth/refresh', {}).subscribe({ error: () => {} }); + const req = httpMock.expectOne('/api/v1/auth/refresh'); + req.flush({}, { status: 401, statusText: 'Unauthorized' }); + + expect(authMock.clearSession).toHaveBeenCalled(); + expect(routerMock.navigate).not.toHaveBeenCalled(); + }); + it('rafraîchit puis rejoue la requête sur un 401 avec error="expired"', () => { authMock.refreshShared.mockReturnValue(of({ access_token: 'new-token' })); authMock.getAccessToken.mockReturnValueOnce('old-token').mockReturnValue('new-token'); diff --git a/apps/frontend/src/app/core/interceptors/auth-interceptor.ts b/apps/frontend/src/app/core/interceptors/auth-interceptor.ts index 46ba124..16f3047 100644 --- a/apps/frontend/src/app/core/interceptors/auth-interceptor.ts +++ b/apps/frontend/src/app/core/interceptors/auth-interceptor.ts @@ -11,6 +11,16 @@ function parseAuthError(response: HttpErrorResponse): string | null { return match ? match[1] : null; } +const ROUTES_INVITEES = ['/login', '/forgot-password', '/reset-password']; + +// Piège : le rafraîchissement de session lancé au démarrage de l'app (provideAppInitializer) +// échoue silencieusement sans cookie valide. `window.location.pathname` (pas `router.url`, +// pas encore fiable à ce stade) évite qu'un 401 de fond écrase la navigation vers le lien de +// reset reçu par email. +function surRouteInvitee(): boolean { + return ROUTES_INVITEES.some((chemin) => window.location.pathname.startsWith(chemin)); +} + export const authInterceptor: HttpInterceptorFn = (req, next) => { const auth = inject(AuthService); const router = inject(Router); @@ -43,7 +53,9 @@ export const authInterceptor: HttpInterceptorFn = (req, next) => { if (req.url.endsWith('/auth/refresh')) { auth.clearSession(); - router.navigate(['/login']); + if (!surRouteInvitee()) { + router.navigate(['/login']); + } return throwError(() => error); } @@ -51,7 +63,9 @@ export const authInterceptor: HttpInterceptorFn = (req, next) => { if (kind === 'invalid_token') { auth.clearSession(); - router.navigate(['/login']); + if (!surRouteInvitee()) { + router.navigate(['/login']); + } return throwError(() => error); } @@ -65,7 +79,9 @@ export const authInterceptor: HttpInterceptorFn = (req, next) => { }), catchError((refreshError) => { auth.clearSession(); - router.navigate(['/login']); + if (!surRouteInvitee()) { + router.navigate(['/login']); + } return throwError(() => refreshError); }) ); diff --git a/apps/frontend/src/app/core/services/auth.service.spec.ts b/apps/frontend/src/app/core/services/auth.service.spec.ts index bff86c4..c51c8eb 100644 --- a/apps/frontend/src/app/core/services/auth.service.spec.ts +++ b/apps/frontend/src/app/core/services/auth.service.spec.ts @@ -83,4 +83,17 @@ describe('AuthService', () => { expect(result).toEqual(tokenResponse.principal); }); + + it('vérifie la validité du jeton de reset via GET /auth/reset-password/validate', () => { + let result: { valid: boolean } | undefined; + service.validateResetToken('un-secret-opaque').subscribe((r) => (result = r)); + + const req = httpMock.expectOne( + `${environment.apiUrl}/auth/reset-password/validate?token=un-secret-opaque` + ); + expect(req.request.method).toBe('GET'); + req.flush({ valid: true }); + + expect(result).toEqual({ valid: true }); + }); }); diff --git a/apps/frontend/src/app/core/services/auth.service.ts b/apps/frontend/src/app/core/services/auth.service.ts index d27c1db..c2d3e9c 100644 --- a/apps/frontend/src/app/core/services/auth.service.ts +++ b/apps/frontend/src/app/core/services/auth.service.ts @@ -1,7 +1,14 @@ import { Service, signal, computed, inject } from '@angular/core'; import { HttpClient } from '@angular/common/http'; import { Observable, tap, finalize, shareReplay } from 'rxjs'; -import { LoginRequest, PasswordChangeRequest, Principal, TokenResponse } from '../../shared/models/auth.model'; +import { + ForgotPasswordRequest, + LoginRequest, + PasswordChangeRequest, + Principal, + ResetPasswordRequest, + TokenResponse, +} from '../../shared/models/auth.model'; import { environment } from '../../../environments/environment'; @Service() @@ -66,4 +73,20 @@ export class AuthService { me(): Observable { return this.http.get(`${environment.apiUrl}/auth/me`); } + + forgotPassword(payload: ForgotPasswordRequest): Observable { + return this.http.post(`${environment.apiUrl}/auth/forgot-password`, payload); + } + + resetPassword(payload: ResetPasswordRequest): Observable { + return this.http + .post(`${environment.apiUrl}/auth/reset-password`, payload, { withCredentials: true }) + .pipe(tap((response) => this.setSession(response))); + } + + validateResetToken(token: string): Observable<{ valid: boolean }> { + return this.http.get<{ valid: boolean }>(`${environment.apiUrl}/auth/reset-password/validate`, { + params: { token }, + }); + } } diff --git a/apps/frontend/src/app/features/auth/change-password/change-password.html b/apps/frontend/src/app/features/auth/change-password/change-password.html index 43e1d13..b589da8 100644 --- a/apps/frontend/src/app/features/auth/change-password/change-password.html +++ b/apps/frontend/src/app/features/auth/change-password/change-password.html @@ -22,7 +22,7 @@ formControlName="new_password" autocomplete="new-password" /> - 12 à 128 caractères + {{ passwordHint }} @if (errorMessage()) { {{ errorMessage() }} diff --git a/apps/frontend/src/app/features/auth/change-password/change-password.spec.ts b/apps/frontend/src/app/features/auth/change-password/change-password.spec.ts index 6fe09d0..126e892 100644 --- a/apps/frontend/src/app/features/auth/change-password/change-password.spec.ts +++ b/apps/frontend/src/app/features/auth/change-password/change-password.spec.ts @@ -32,10 +32,19 @@ describe('ChangePassword', () => { expect(authMock.changePassword).not.toHaveBeenCalled(); }); + it('ne soumet pas si le mot de passe ne couvre pas les 4 classes de caractères', () => { + const fixture = TestBed.createComponent(ChangePassword); + const component = fixture.componentInstance; + component.form.setValue({ current_password: 'old', new_password: 'longueur-suffisante-sans-majuscule-ni-chiffre' }); + + component.onSubmit(); + expect(authMock.changePassword).not.toHaveBeenCalled(); + }); + it('redirige vers /dashboard après un changement réussi', () => { const fixture = TestBed.createComponent(ChangePassword); const component = fixture.componentInstance; - component.form.setValue({ current_password: 'ancien-mot-de-passe', new_password: 'un-nouveau-mot-de-passe-valide' }); + component.form.setValue({ current_password: 'ancien-mot-de-passe', new_password: 'Un-nouveau-mot-de-passe1!' }); authMock.changePassword.mockReturnValue(of({ principal: { role: 'admin' } })); @@ -46,7 +55,7 @@ describe('ChangePassword', () => { it("affiche un message d'erreur si le mot de passe actuel est incorrect", () => { const fixture = TestBed.createComponent(ChangePassword); const component = fixture.componentInstance; - component.form.setValue({ current_password: 'mauvais-mot-de-passe', new_password: 'un-nouveau-mot-de-passe-valide' }); + component.form.setValue({ current_password: 'mauvais-mot-de-passe', new_password: 'Un-nouveau-mot-de-passe1!' }); authMock.changePassword.mockReturnValue(throwError(() => new Error('401'))); @@ -70,7 +79,7 @@ describe('ChangePassword', () => { it('déclenche onSubmit via la soumission réelle du formulaire (ngSubmit)', () => { const fixture = TestBed.createComponent(ChangePassword); const component = fixture.componentInstance; - component.form.setValue({ current_password: 'ancien-mot-de-passe', new_password: 'un-nouveau-mot-de-passe-valide' }); + component.form.setValue({ current_password: 'ancien-mot-de-passe', new_password: 'Un-nouveau-mot-de-passe1!' }); fixture.detectChanges(); authMock.changePassword.mockReturnValue(of({ principal: { role: 'admin' } })); @@ -81,7 +90,7 @@ describe('ChangePassword', () => { expect(authMock.changePassword).toHaveBeenCalledWith({ current_password: 'ancien-mot-de-passe', - new_password: 'un-nouveau-mot-de-passe-valide', + new_password: 'Un-nouveau-mot-de-passe1!', }); }); diff --git a/apps/frontend/src/app/features/auth/change-password/change-password.ts b/apps/frontend/src/app/features/auth/change-password/change-password.ts index ec6f32d..ac09adf 100644 --- a/apps/frontend/src/app/features/auth/change-password/change-password.ts +++ b/apps/frontend/src/app/features/auth/change-password/change-password.ts @@ -6,6 +6,7 @@ import { Button } from '../../../shared/components/ui/button/button'; import { Card } from '../../../shared/components/ui/card/card'; import { Alert } from '../../../shared/components/ui/alert/alert'; import { Brand } from '../../../shared/components/ui/brand/brand'; +import { passwordValidators, PASSWORD_HINT } from '../../../shared/validators/password.validator'; @Component({ selector: 'app-change-password', @@ -21,10 +22,11 @@ export class ChangePassword { errorMessage = signal(null); isLoading = signal(false); + passwordHint = PASSWORD_HINT; form = this.fb.nonNullable.group({ current_password: ['', Validators.required], - new_password: ['', [Validators.required, Validators.minLength(12), Validators.maxLength(128)]], + new_password: ['', passwordValidators], }); onSubmit(): void { @@ -38,7 +40,7 @@ export class ChangePassword { }, error: () => { this.isLoading.set(false); - this.errorMessage.set('Mot de passe actuel incorrect, ou nouveau mot de passe invalide (12 à 128 caractères).'); + this.errorMessage.set(`Mot de passe actuel incorrect, ou nouveau mot de passe invalide (${this.passwordHint}).`); }, }); } diff --git a/apps/frontend/src/app/features/auth/forgot-password/forgot-password.html b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.html new file mode 100644 index 0000000..2bd7ef9 --- /dev/null +++ b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.html @@ -0,0 +1,37 @@ +
+
+

Mot de passe oublié

+

Recevez un lien de réinitialisation par email

+ + @if (submitted()) { +

+ Si un compte existe pour cet email, un lien de réinitialisation vient d'être envoyé. + Il expire dans 15 minutes. +

+ } @else { + + + + @if (errorMessage()) { +

+ {{ errorMessage() }} + @if (retryAfterSeconds(); as seconds) { + (réessayez dans {{ seconds }}s) + } +

+ } + + + } + +

Retour à la connexion

+
+
diff --git a/apps/frontend/src/app/features/auth/forgot-password/forgot-password.scss b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.scss new file mode 100644 index 0000000..31c9efc --- /dev/null +++ b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.scss @@ -0,0 +1,104 @@ +:host { + display: flex; + align-items: center; + justify-content: center; + min-height: 100vh; + background: #f3f4f6; + font-family: 'Segoe UI', system-ui, sans-serif; +} + +.auth-card { + background: #ffffff; + border: 1px solid #e5e7eb; + border-radius: 12px; + padding: 2.5rem; + width: 100%; + max-width: 360px; + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.06); + display: flex; + flex-direction: column; + + h1 { + margin: 0; + font-size: 1.5rem; + font-weight: 700; + color: #1f2937; + } + + .auth-subtitle { + margin: 0.25rem 0 1.5rem; + color: #6b7280; + font-size: 0.9rem; + line-height: 1.4; + } + + label { + font-size: 0.85rem; + font-weight: 600; + color: #374151; + margin-bottom: 0.35rem; + margin-top: 1rem; + } + + input { + padding: 0.6rem 0.75rem; + border: 1px solid #d1d5db; + border-radius: 8px; + font-size: 0.95rem; + + &:focus { + outline: none; + border-color: #3b82f6; + box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.15); + } + } + + button { + margin-top: 1.5rem; + padding: 0.7rem; + background: #3b82f6; + color: #fff; + border: none; + border-radius: 8px; + font-size: 0.95rem; + font-weight: 600; + cursor: pointer; + + &:disabled { + background: #9ca3af; + cursor: not-allowed; + } + + &:not(:disabled):hover { + background: #2563eb; + } + } +} + +.auth-hint { + font-size: 0.75rem; + color: #9ca3af; + margin-top: 0.25rem; +} + +.auth-error { + margin: 0.75rem 0 0; + color: #dc2626; + font-size: 0.85rem; +} + +.auth-success { + margin: 0.75rem 0 0; + color: #16a34a; + font-size: 0.85rem; +} + +.auth-link { + margin-top: 1rem; + font-size: 0.85rem; + text-align: center; + + a { + color: #3b82f6; + } +} diff --git a/apps/frontend/src/app/features/auth/forgot-password/forgot-password.spec.ts b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.spec.ts new file mode 100644 index 0000000..56f7764 --- /dev/null +++ b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.spec.ts @@ -0,0 +1,75 @@ +import { TestBed } from '@angular/core/testing'; +import { ReactiveFormsModule } from '@angular/forms'; +import { ActivatedRoute, Router } from '@angular/router'; +import { HttpErrorResponse, HttpHeaders } from '@angular/common/http'; +import { of, throwError } from 'rxjs'; +import { vi } from 'vitest'; +import { ForgotPassword } from './forgot-password'; +import { AuthService } from '../../../core/services/auth.service'; + +describe('ForgotPassword', () => { + let authMock: { forgotPassword: ReturnType }; + let routerMock: { navigate: ReturnType }; + + beforeEach(async () => { + authMock = { forgotPassword: vi.fn() }; + routerMock = { navigate: vi.fn() }; + + await TestBed.configureTestingModule({ + imports: [ForgotPassword, ReactiveFormsModule], + providers: [ + { provide: AuthService, useValue: authMock }, + { provide: Router, useValue: routerMock }, + { provide: ActivatedRoute, useValue: {} }, + ], + }).compileComponents(); + }); + + it('ne soumet pas si le formulaire est invalide', () => { + const fixture = TestBed.createComponent(ForgotPassword); + fixture.componentInstance.onSubmit(); + expect(authMock.forgotPassword).not.toHaveBeenCalled(); + }); + + it('affiche le message générique après une soumission réussie', () => { + const fixture = TestBed.createComponent(ForgotPassword); + const component = fixture.componentInstance; + component.form.setValue({ email: 'operateur@enervision.fr' }); + authMock.forgotPassword.mockReturnValue(of(undefined)); + + component.onSubmit(); + + expect(component.submitted()).toBe(true); + }); + + it('affiche le même message générique même quand le serveur répond une erreur autre que 429', () => { + const fixture = TestBed.createComponent(ForgotPassword); + const component = fixture.componentInstance; + component.form.setValue({ email: 'inconnu@enervision.fr' }); + authMock.forgotPassword.mockReturnValue(throwError(() => new HttpErrorResponse({ status: 500 }))); + + component.onSubmit(); + + expect(component.submitted()).toBe(true); + }); + + it('affiche le délai à respecter quand le taux limite est atteint', () => { + const fixture = TestBed.createComponent(ForgotPassword); + const component = fixture.componentInstance; + component.form.setValue({ email: 'operateur@enervision.fr' }); + authMock.forgotPassword.mockReturnValue( + throwError( + () => + new HttpErrorResponse({ + status: 429, + headers: new HttpHeaders({ 'Retry-After': '900' }), + }) + ) + ); + + component.onSubmit(); + + expect(component.submitted()).toBe(false); + expect(component.retryAfterSeconds()).toBe(900); + }); +}); diff --git a/apps/frontend/src/app/features/auth/forgot-password/forgot-password.ts b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.ts new file mode 100644 index 0000000..6ceef5c --- /dev/null +++ b/apps/frontend/src/app/features/auth/forgot-password/forgot-password.ts @@ -0,0 +1,53 @@ +import { Component, inject, signal } from '@angular/core'; +import { ReactiveFormsModule, FormBuilder, Validators } from '@angular/forms'; +import { RouterLink } from '@angular/router'; +import { HttpErrorResponse } from '@angular/common/http'; +import { AuthService } from '../../../core/services/auth.service'; + +@Component({ + selector: 'app-forgot-password', + standalone: true, + imports: [ReactiveFormsModule, RouterLink], + templateUrl: './forgot-password.html', + styleUrl: './forgot-password.scss', +}) +export class ForgotPassword { + private fb = inject(FormBuilder); + private auth = inject(AuthService); + + errorMessage = signal(null); + retryAfterSeconds = signal(null); + submitted = signal(false); + isLoading = signal(false); + + form = this.fb.nonNullable.group({ + email: ['', [Validators.required, Validators.email]], + }); + + onSubmit(): void { + if (this.form.invalid) return; + + this.isLoading.set(true); + this.errorMessage.set(null); + this.retryAfterSeconds.set(null); + + this.auth.forgotPassword(this.form.getRawValue()).subscribe({ + // Le message affiché ne dépend jamais du fait que le compte existe ou non : la réponse + // du serveur est déjà générique, l'écran doit l'être aussi. + next: () => { + this.isLoading.set(false); + this.submitted.set(true); + }, + error: (error: HttpErrorResponse) => { + this.isLoading.set(false); + if (error.status === 429) { + const retryAfter = error.headers.get('Retry-After'); + this.retryAfterSeconds.set(retryAfter ? Number(retryAfter) : null); + this.errorMessage.set('Trop de demandes, réessayez plus tard.'); + return; + } + this.submitted.set(true); + }, + }); + } +} diff --git a/apps/frontend/src/app/features/auth/login/login.html b/apps/frontend/src/app/features/auth/login/login.html index f08b407..cb802ca 100644 --- a/apps/frontend/src/app/features/auth/login/login.html +++ b/apps/frontend/src/app/features/auth/login/login.html @@ -36,6 +36,8 @@ {{ isLoading() ? 'Connexion...' : 'Se connecter' }} + +

Mot de passe oublié ?

diff --git a/apps/frontend/src/app/features/auth/login/login.scss b/apps/frontend/src/app/features/auth/login/login.scss index 50921f3..b008e3e 100644 --- a/apps/frontend/src/app/features/auth/login/login.scss +++ b/apps/frontend/src/app/features/auth/login/login.scss @@ -36,3 +36,13 @@ ev-button { display: block; margin-top: 1.75rem; } + +.auth-link { + margin-top: 1rem; + font-size: 0.85rem; + text-align: center; + + a { + color: #3b82f6; + } +} diff --git a/apps/frontend/src/app/features/auth/login/login.spec.ts b/apps/frontend/src/app/features/auth/login/login.spec.ts index 46afce2..5c0ac6c 100644 --- a/apps/frontend/src/app/features/auth/login/login.spec.ts +++ b/apps/frontend/src/app/features/auth/login/login.spec.ts @@ -1,27 +1,43 @@ import { TestBed } from '@angular/core/testing'; import { ReactiveFormsModule } from '@angular/forms'; -import { Router } from '@angular/router'; +import { ActivatedRoute, convertToParamMap, Router } from '@angular/router'; import { HttpErrorResponse, HttpHeaders } from '@angular/common/http'; import { of, throwError } from 'rxjs'; import { vi } from 'vitest'; import { Login } from './login'; import { AuthService } from '../../../core/services/auth.service'; +import { MOTIF_LIEN_RESET_INVALIDE } from '../../../shared/models/auth-redirect-reason'; + +function configure(queryParams: Record = {}) { + const authMock = { login: vi.fn() }; + const routerMock = { navigate: vi.fn() }; + + return { + authMock, + routerMock, + testBed: TestBed.configureTestingModule({ + imports: [Login, ReactiveFormsModule], + providers: [ + { provide: AuthService, useValue: authMock }, + { provide: Router, useValue: routerMock }, + { + provide: ActivatedRoute, + useValue: { snapshot: { queryParamMap: convertToParamMap(queryParams) } }, + }, + ], + }), + }; +} describe('Login', () => { let authMock: { login: ReturnType }; let routerMock: { navigate: ReturnType }; beforeEach(async () => { - authMock = { login: vi.fn() }; - routerMock = { navigate: vi.fn() }; - - await TestBed.configureTestingModule({ - imports: [Login, ReactiveFormsModule], - providers: [ - { provide: AuthService, useValue: authMock }, - { provide: Router, useValue: routerMock }, - ], - }).compileComponents(); + const attirail = configure(); + authMock = attirail.authMock; + routerMock = attirail.routerMock; + await attirail.testBed.compileComponents(); }); it('ne soumet pas si le formulaire est invalide', () => { @@ -84,6 +100,14 @@ describe('Login', () => { expect(errorEl?.textContent).toContain('30s'); }); + it('affiche le message standard quand on arrive avec ?motif=lien-expire', async () => { + const attirail = configure({ motif: MOTIF_LIEN_RESET_INVALIDE }); + await attirail.testBed.compileComponents(); + const fixture = TestBed.createComponent(Login); + + expect(fixture.componentInstance.errorMessage()).toContain('expiré'); + }); + it('désactive le bouton tant que le formulaire est invalide', () => { const fixture = TestBed.createComponent(Login); fixture.detectChanges(); diff --git a/apps/frontend/src/app/features/auth/login/login.ts b/apps/frontend/src/app/features/auth/login/login.ts index ebac356..bc230a8 100644 --- a/apps/frontend/src/app/features/auth/login/login.ts +++ b/apps/frontend/src/app/features/auth/login/login.ts @@ -1,17 +1,18 @@ import { Component, inject, signal } from '@angular/core'; import { ReactiveFormsModule, FormBuilder, Validators } from '@angular/forms'; -import { Router } from '@angular/router'; +import { ActivatedRoute, Router, RouterLink } from '@angular/router'; import { HttpErrorResponse } from '@angular/common/http'; import { AuthService } from '../../../core/services/auth.service'; import { Button } from '../../../shared/components/ui/button/button'; import { Card } from '../../../shared/components/ui/card/card'; import { Alert } from '../../../shared/components/ui/alert/alert'; import { Brand } from '../../../shared/components/ui/brand/brand'; +import { MESSAGE_LIEN_RESET_INVALIDE, MOTIF_LIEN_RESET_INVALIDE } from '../../../shared/models/auth-redirect-reason'; @Component({ selector: 'app-login', standalone: true, - imports: [ReactiveFormsModule, Button, Card, Alert, Brand], + imports: [ReactiveFormsModule, RouterLink, Button, Card, Alert, Brand], templateUrl: './login.html', styleUrl: './login.scss', }) @@ -19,8 +20,13 @@ export class Login { private fb = inject(FormBuilder); private auth = inject(AuthService); private router = inject(Router); + private route = inject(ActivatedRoute); - errorMessage = signal(null); + errorMessage = signal( + this.route.snapshot.queryParamMap.get('motif') === MOTIF_LIEN_RESET_INVALIDE + ? MESSAGE_LIEN_RESET_INVALIDE + : null, + ); retryAfterSeconds = signal(null); isLoading = signal(false); diff --git a/apps/frontend/src/app/features/auth/reset-password/reset-password.html b/apps/frontend/src/app/features/auth/reset-password/reset-password.html new file mode 100644 index 0000000..fad2f7e --- /dev/null +++ b/apps/frontend/src/app/features/auth/reset-password/reset-password.html @@ -0,0 +1,32 @@ +
+
+

Nouveau mot de passe

+ + @if (hasToken && !isCheckingToken()) { +

Choisissez votre nouveau mot de passe

+ + + + + + @if (errorMessage()) { +

{{ errorMessage() }}

+ } + + + } + + @if (hasToken && isCheckingToken()) { +

Vérification du lien...

+ } + +

Redemander un lien

+ +
diff --git a/apps/frontend/src/app/features/auth/reset-password/reset-password.scss b/apps/frontend/src/app/features/auth/reset-password/reset-password.scss new file mode 100644 index 0000000..31c9efc --- /dev/null +++ b/apps/frontend/src/app/features/auth/reset-password/reset-password.scss @@ -0,0 +1,104 @@ +:host { + display: flex; + align-items: center; + justify-content: center; + min-height: 100vh; + background: #f3f4f6; + font-family: 'Segoe UI', system-ui, sans-serif; +} + +.auth-card { + background: #ffffff; + border: 1px solid #e5e7eb; + border-radius: 12px; + padding: 2.5rem; + width: 100%; + max-width: 360px; + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.06); + display: flex; + flex-direction: column; + + h1 { + margin: 0; + font-size: 1.5rem; + font-weight: 700; + color: #1f2937; + } + + .auth-subtitle { + margin: 0.25rem 0 1.5rem; + color: #6b7280; + font-size: 0.9rem; + line-height: 1.4; + } + + label { + font-size: 0.85rem; + font-weight: 600; + color: #374151; + margin-bottom: 0.35rem; + margin-top: 1rem; + } + + input { + padding: 0.6rem 0.75rem; + border: 1px solid #d1d5db; + border-radius: 8px; + font-size: 0.95rem; + + &:focus { + outline: none; + border-color: #3b82f6; + box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.15); + } + } + + button { + margin-top: 1.5rem; + padding: 0.7rem; + background: #3b82f6; + color: #fff; + border: none; + border-radius: 8px; + font-size: 0.95rem; + font-weight: 600; + cursor: pointer; + + &:disabled { + background: #9ca3af; + cursor: not-allowed; + } + + &:not(:disabled):hover { + background: #2563eb; + } + } +} + +.auth-hint { + font-size: 0.75rem; + color: #9ca3af; + margin-top: 0.25rem; +} + +.auth-error { + margin: 0.75rem 0 0; + color: #dc2626; + font-size: 0.85rem; +} + +.auth-success { + margin: 0.75rem 0 0; + color: #16a34a; + font-size: 0.85rem; +} + +.auth-link { + margin-top: 1rem; + font-size: 0.85rem; + text-align: center; + + a { + color: #3b82f6; + } +} diff --git a/apps/frontend/src/app/features/auth/reset-password/reset-password.spec.ts b/apps/frontend/src/app/features/auth/reset-password/reset-password.spec.ts new file mode 100644 index 0000000..38e30b5 --- /dev/null +++ b/apps/frontend/src/app/features/auth/reset-password/reset-password.spec.ts @@ -0,0 +1,129 @@ +import { TestBed } from '@angular/core/testing'; +import { ReactiveFormsModule } from '@angular/forms'; +import { ActivatedRoute, convertToParamMap, Router } from '@angular/router'; +import { HttpErrorResponse } from '@angular/common/http'; +import { of, throwError } from 'rxjs'; +import { vi } from 'vitest'; +import { ResetPassword } from './reset-password'; +import { AuthService } from '../../../core/services/auth.service'; +import { MOTIF_LIEN_RESET_INVALIDE } from '../../../shared/models/auth-redirect-reason'; + +function configure(token: string | null) { + return TestBed.configureTestingModule({ + imports: [ResetPassword, ReactiveFormsModule], + providers: [ + { + provide: AuthService, + useValue: { + resetPassword: vi.fn(), + validateResetToken: vi.fn().mockReturnValue(of({ valid: true })), + }, + }, + { provide: Router, useValue: { navigate: vi.fn() } }, + { + provide: ActivatedRoute, + useValue: { snapshot: { queryParamMap: convertToParamMap(token ? { token } : {}) } }, + }, + ], + }).compileComponents(); +} + +describe('ResetPassword', () => { + it("redirige vers /login avec le motif standard quand le jeton est absent de l'URL", async () => { + await configure(null); + const fixture = TestBed.createComponent(ResetPassword); + const router = TestBed.inject(Router) as unknown as { navigate: ReturnType }; + + fixture.detectChanges(); + + expect(fixture.componentInstance.hasToken).toBe(false); + expect(router.navigate).toHaveBeenCalledWith(['/login'], { + queryParams: { motif: MOTIF_LIEN_RESET_INVALIDE }, + }); + }); + + it('vérifie le jeton sans le consommer dès le chargement de la page', async () => { + await configure('un-secret-opaque'); + const fixture = TestBed.createComponent(ResetPassword); + const auth = TestBed.inject(AuthService) as unknown as { validateResetToken: ReturnType }; + + fixture.detectChanges(); + + expect(auth.validateResetToken).toHaveBeenCalledWith('un-secret-opaque'); + expect(fixture.componentInstance.isCheckingToken()).toBe(false); + }); + + it('redirige immédiatement vers /login si la vérification signale un jeton invalide', async () => { + await configure('un-secret-perime'); + TestBed.overrideProvider(AuthService, { + useValue: { resetPassword: vi.fn(), validateResetToken: vi.fn().mockReturnValue(of({ valid: false })) }, + }); + const fixture = TestBed.createComponent(ResetPassword); + const router = TestBed.inject(Router) as unknown as { navigate: ReturnType }; + + fixture.detectChanges(); + + expect(router.navigate).toHaveBeenCalledWith(['/login'], { + queryParams: { motif: MOTIF_LIEN_RESET_INVALIDE }, + }); + }); + + it('ne soumet pas si le mot de passe ne respecte pas la politique de complexité', async () => { + await configure('un-secret-opaque'); + const fixture = TestBed.createComponent(ResetPassword); + const component = fixture.componentInstance; + const auth = TestBed.inject(AuthService) as unknown as { resetPassword: ReturnType }; + component.form.setValue({ new_password: 'trop-simple' }); + + component.onSubmit(); + + expect(auth.resetPassword).not.toHaveBeenCalled(); + }); + + it('redirige vers /dashboard après une réinitialisation réussie', async () => { + await configure('un-secret-opaque'); + const fixture = TestBed.createComponent(ResetPassword); + const component = fixture.componentInstance; + const auth = TestBed.inject(AuthService) as unknown as { resetPassword: ReturnType }; + const router = TestBed.inject(Router) as unknown as { navigate: ReturnType }; + component.form.setValue({ new_password: 'Un-nouveau-mot-de-passe1!' }); + auth.resetPassword.mockReturnValue(of({ principal: { role: 'operateur' } })); + + component.onSubmit(); + + expect(auth.resetPassword).toHaveBeenCalledWith({ + token: 'un-secret-opaque', + new_password: 'Un-nouveau-mot-de-passe1!', + }); + expect(router.navigate).toHaveBeenCalledWith(['/dashboard']); + }); + + it('redirige vers /login avec le motif standard quand le lien est invalide ou expiré', async () => { + await configure('un-secret-perime'); + const fixture = TestBed.createComponent(ResetPassword); + const component = fixture.componentInstance; + const auth = TestBed.inject(AuthService) as unknown as { resetPassword: ReturnType }; + const router = TestBed.inject(Router) as unknown as { navigate: ReturnType }; + component.form.setValue({ new_password: 'Un-nouveau-mot-de-passe1!' }); + auth.resetPassword.mockReturnValue(throwError(() => new HttpErrorResponse({ status: 400 }))); + + component.onSubmit(); + + expect(router.navigate).toHaveBeenCalledWith(['/login'], { + queryParams: { motif: MOTIF_LIEN_RESET_INVALIDE }, + }); + }); + + it('affiche un message générique sur une erreur inattendue (pas 400)', async () => { + await configure('un-secret-opaque'); + const fixture = TestBed.createComponent(ResetPassword); + const component = fixture.componentInstance; + const auth = TestBed.inject(AuthService) as unknown as { resetPassword: ReturnType }; + component.form.setValue({ new_password: 'Un-nouveau-mot-de-passe1!' }); + auth.resetPassword.mockReturnValue(throwError(() => new HttpErrorResponse({ status: 500 }))); + + component.onSubmit(); + + expect(component.errorMessage()).toContain('invalide'); + }); +}); diff --git a/apps/frontend/src/app/features/auth/reset-password/reset-password.ts b/apps/frontend/src/app/features/auth/reset-password/reset-password.ts new file mode 100644 index 0000000..64ad31e --- /dev/null +++ b/apps/frontend/src/app/features/auth/reset-password/reset-password.ts @@ -0,0 +1,79 @@ +import { Component, OnInit, inject, signal } from '@angular/core'; +import { toSignal } from '@angular/core/rxjs-interop'; +import { ReactiveFormsModule, FormBuilder } from '@angular/forms'; +import { ActivatedRoute, Router, RouterLink } from '@angular/router'; +import { HttpErrorResponse } from '@angular/common/http'; +import { AuthService } from '../../../core/services/auth.service'; +import { passwordValidators, PASSWORD_HINT } from '../../../shared/validators/password.validator'; +import { PasswordRequirementsChecklist } from '../../../shared/components/password-requirements/password-requirements'; +import { MOTIF_LIEN_RESET_INVALIDE } from '../../../shared/models/auth-redirect-reason'; + +@Component({ + selector: 'app-reset-password', + standalone: true, + imports: [ReactiveFormsModule, RouterLink, PasswordRequirementsChecklist], + templateUrl: './reset-password.html', + styleUrl: './reset-password.scss', +}) +export class ResetPassword implements OnInit { + private fb = inject(FormBuilder); + private auth = inject(AuthService); + private router = inject(Router); + private route = inject(ActivatedRoute); + + private token = this.route.snapshot.queryParamMap.get('token') ?? ''; + + errorMessage = signal(null); + isLoading = signal(false); + passwordHint = PASSWORD_HINT; + hasToken = this.token.length > 0; + + form = this.fb.nonNullable.group({ + new_password: ['', passwordValidators], + }); + + password = toSignal(this.form.controls.new_password.valueChanges, { initialValue: '' }); + isCheckingToken = signal(this.hasToken); + + ngOnInit(): void { + if (!this.hasToken) { + this.redirigeVersLoginLienInvalide(); + return; + } + + this.auth.validateResetToken(this.token).subscribe({ + next: ({ valid }) => { + this.isCheckingToken.set(false); + if (!valid) { + this.redirigeVersLoginLienInvalide(); + } + }, + error: () => this.isCheckingToken.set(false), + }); + } + + onSubmit(): void { + if (this.form.invalid || !this.hasToken) return; + + this.isLoading.set(true); + this.errorMessage.set(null); + + this.auth.resetPassword({ token: this.token, new_password: this.form.getRawValue().new_password }).subscribe({ + next: () => { + this.router.navigate(['/dashboard']); + }, + error: (error: HttpErrorResponse) => { + this.isLoading.set(false); + if (error.status === 400) { + this.redirigeVersLoginLienInvalide(); + return; + } + this.errorMessage.set(`Nouveau mot de passe invalide (${this.passwordHint}).`); + }, + }); + } + + private redirigeVersLoginLienInvalide(): void { + this.router.navigate(['/login'], { queryParams: { motif: MOTIF_LIEN_RESET_INVALIDE } }); + } +} diff --git a/apps/frontend/src/app/shared/components/password-requirements/password-requirements.html b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.html new file mode 100644 index 0000000..bc7ed54 --- /dev/null +++ b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.html @@ -0,0 +1,8 @@ +
    + @for (requirement of requirements(); track requirement.label) { +
  • + {{ requirement.met ? '✓' : '○' }} + {{ requirement.label }} +
    • + } +
diff --git a/apps/frontend/src/app/shared/components/password-requirements/password-requirements.scss b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.scss new file mode 100644 index 0000000..b5cb32b --- /dev/null +++ b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.scss @@ -0,0 +1,29 @@ +:host { + display: block; +} + +.password-requirements { + list-style: none; + margin: 0.25rem 0 0; + padding: 0; + font-size: 0.8rem; + line-height: 1.5; + + li { + display: flex; + align-items: center; + gap: 0.4rem; + } + + .password-requirements-icon { + font-weight: 700; + } + + .unmet { + color: #9ca3af; + } + + .met { + color: #16a34a; + } +} diff --git a/apps/frontend/src/app/shared/components/password-requirements/password-requirements.spec.ts b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.spec.ts new file mode 100644 index 0000000..23c4bbc --- /dev/null +++ b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.spec.ts @@ -0,0 +1,39 @@ +import { TestBed } from '@angular/core/testing'; +import { PasswordRequirementsChecklist } from './password-requirements'; + +describe('PasswordRequirementsChecklist', () => { + beforeEach(async () => { + await TestBed.configureTestingModule({ + imports: [PasswordRequirementsChecklist], + }).compileComponents(); + }); + + it('ne coche aucune règle pour un mot de passe vide', () => { + const fixture = TestBed.createComponent(PasswordRequirementsChecklist); + fixture.componentRef.setInput('password', ''); + fixture.detectChanges(); + + expect(fixture.componentInstance.requirements().every((r) => !r.met)).toBe(true); + }); + + it('ne coche que les règles satisfaites pour un mot de passe partiel', () => { + const fixture = TestBed.createComponent(PasswordRequirementsChecklist); + fixture.componentRef.setInput('password', 'abcdefgh'); + fixture.detectChanges(); + + const parLabel = new Map(fixture.componentInstance.requirements().map((r) => [r.label, r.met])); + expect(parLabel.get('8 caractères minimum')).toBe(true); + expect(parLabel.get('1 minuscule')).toBe(true); + expect(parLabel.get('1 majuscule')).toBe(false); + expect(parLabel.get('1 chiffre')).toBe(false); + expect(parLabel.get('1 caractère spécial')).toBe(false); + }); + + it('coche toutes les règles pour un mot de passe conforme', () => { + const fixture = TestBed.createComponent(PasswordRequirementsChecklist); + fixture.componentRef.setInput('password', 'Un-nouveau-mot-de-passe1!'); + fixture.detectChanges(); + + expect(fixture.componentInstance.requirements().every((r) => r.met)).toBe(true); + }); +}); diff --git a/apps/frontend/src/app/shared/components/password-requirements/password-requirements.ts b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.ts new file mode 100644 index 0000000..36a4413 --- /dev/null +++ b/apps/frontend/src/app/shared/components/password-requirements/password-requirements.ts @@ -0,0 +1,19 @@ +import { Component, computed, input } from '@angular/core'; +import { PASSWORD_REQUIREMENTS } from '../../validators/password.validator'; + +@Component({ + selector: 'app-password-requirements', + standalone: true, + templateUrl: './password-requirements.html', + styleUrl: './password-requirements.scss', +}) +export class PasswordRequirementsChecklist { + password = input(''); + + requirements = computed(() => + PASSWORD_REQUIREMENTS.map((requirement) => ({ + label: requirement.label, + met: requirement.test(this.password()), + })), + ); +} diff --git a/apps/frontend/src/app/shared/models/auth-redirect-reason.ts b/apps/frontend/src/app/shared/models/auth-redirect-reason.ts new file mode 100644 index 0000000..7feb0de --- /dev/null +++ b/apps/frontend/src/app/shared/models/auth-redirect-reason.ts @@ -0,0 +1,3 @@ +export const MOTIF_LIEN_RESET_INVALIDE = 'lien-expire'; +export const MESSAGE_LIEN_RESET_INVALIDE = + 'Ce lien de réinitialisation est invalide ou a expiré. Connectez-vous ou redemandez-en un.'; diff --git a/apps/frontend/src/app/shared/models/auth.model.ts b/apps/frontend/src/app/shared/models/auth.model.ts index 932572f..ebed0d5 100644 --- a/apps/frontend/src/app/shared/models/auth.model.ts +++ b/apps/frontend/src/app/shared/models/auth.model.ts @@ -10,6 +10,15 @@ export interface PasswordChangeRequest { new_password: string; } +export interface ForgotPasswordRequest { + email: string; +} + +export interface ResetPasswordRequest { + token: string; + new_password: string; +} + export interface Principal { id: string; email: string; diff --git a/apps/frontend/src/app/shared/validators/password.validator.spec.ts b/apps/frontend/src/app/shared/validators/password.validator.spec.ts new file mode 100644 index 0000000..455ee36 --- /dev/null +++ b/apps/frontend/src/app/shared/validators/password.validator.spec.ts @@ -0,0 +1,26 @@ +import { FormControl } from '@angular/forms'; +import { passwordValidators } from './password.validator'; + +function estValide(motDePasse: string): boolean { + return new FormControl(motDePasse, passwordValidators).valid; +} + +describe('passwordValidators', () => { + it('accepte un mot de passe couvrant les quatre classes', () => { + expect(estValide('Un-mot-de-passe1!')).toBe(true); + }); + + it('accepte un mot de passe accentué (alignement avec le backend, ex: "Sécurité1")', () => { + expect(estValide('Sécurité1!')).toBe(true); + }); + + it('refuse un mot de passe sans majuscule même avec un "×" ou un "÷"', () => { + expect(estValide('abcdefg1×')).toBe(false); + expect(estValide('abcdefg1÷')).toBe(false); + }); + + it('refuse un mot de passe sans minuscule même avec un "×" ou un "÷"', () => { + expect(estValide('ABCDEFG1×')).toBe(false); + expect(estValide('ABCDEFG1÷')).toBe(false); + }); +}); diff --git a/apps/frontend/src/app/shared/validators/password.validator.ts b/apps/frontend/src/app/shared/validators/password.validator.ts new file mode 100644 index 0000000..78d4066 --- /dev/null +++ b/apps/frontend/src/app/shared/validators/password.validator.ts @@ -0,0 +1,40 @@ +// Contrainte : `PASSWORD_PATTERN` doit rester identique au validateur Pydantic de +// `app/schemas/auth.py` côté backend (mêmes plages de majuscules/minuscules, excluant +// × et ÷, mêmes chiffres 0-9, même jeu de caractères spéciaux). `\w`/`\d` divergent entre +// JavaScript (ASCII) et Python (Unicode) : une négation aurait accepté ou rejeté un même +// mot de passe différemment d'un côté à l'autre (ex. "Sécurité1"). + +import { Validators } from '@angular/forms'; + +export const PASSWORD_MIN_LENGTH = 8; +export const PASSWORD_MAX_LENGTH = 128; +export const PASSWORD_HINT = + '8 à 128 caractères, avec au moins 1 majuscule, 1 minuscule, 1 chiffre et 1 caractère spécial'; + +const SPECIAL_CHARACTERS = '!@#$%^&*()\\-_=+[\\]{};:,.?'; +const PASSWORD_PATTERN = new RegExp( + `^(?=.*[A-ZÀ-ÖØ-Þ])(?=.*[a-zà-öø-þ])` + + `(?=.*[0-9])(?=.*[${SPECIAL_CHARACTERS}]).*$`, +); + +export const passwordValidators = [ + Validators.required, + Validators.minLength(PASSWORD_MIN_LENGTH), + Validators.maxLength(PASSWORD_MAX_LENGTH), + Validators.pattern(PASSWORD_PATTERN), +]; + +export interface PasswordRequirement { + label: string; + test: (value: string) => boolean; +} + +const SPECIAL_REGEX = new RegExp(`[${SPECIAL_CHARACTERS}]`); + +export const PASSWORD_REQUIREMENTS: PasswordRequirement[] = [ + { label: `${PASSWORD_MIN_LENGTH} caractères minimum`, test: (v) => v.length >= PASSWORD_MIN_LENGTH }, + { label: '1 majuscule', test: (v) => /[A-ZÀ-ÖØ-Þ]/.test(v) }, + { label: '1 minuscule', test: (v) => /[a-zà-öø-þ]/.test(v) }, + { label: '1 chiffre', test: (v) => /[0-9]/.test(v) }, + { label: '1 caractère spécial', test: (v) => SPECIAL_REGEX.test(v) }, +]; diff --git a/data/raw/.gitkeep b/data/raw/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/docker-compose.yml b/docker-compose.yml index 3d0ea63..3f7f9ea 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -27,11 +27,22 @@ services: start_period: 40s restart: unless-stopped + # Piege : Mailpit ne relaie rien vers l'exterieur, il capture tout email envoye par le + # backend. Aucun acces reseau sortant n'est requis ; l'UI web (8025) sert a lire les emails. + mailpit: + image: axllent/mailpit + ports: + - "${MAILPIT_SMTP_PORT:-1025}:1025" + - "${MAILPIT_UI_PORT:-8025}:8025" + restart: unless-stopped + backend: build: ./apps/backend depends_on: db: condition: service_healthy + mailpit: + condition: service_started environment: APP_ENV: ${APP_ENV:-local} APP_DEBUG: ${APP_DEBUG:-false} @@ -39,6 +50,11 @@ services: APP_SECRET_KEY: ${APP_SECRET_KEY:?} APP_CORS_ORIGINS: ${APP_CORS_ORIGINS:-http://localhost:4200} DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB} + APP_FRONTEND_RESET_PASSWORD_URL: ${APP_FRONTEND_RESET_PASSWORD_URL:-http://localhost:4200/reset-password} + APP_SMTP_HOST: mailpit + APP_SMTP_PORT: "1025" + APP_SMTP_USE_TLS: "false" + APP_SMTP_FROM_ADDRESS: ${APP_SMTP_FROM_ADDRESS:-no-reply@enervision.fr} ports: - "${BACKEND_PORT:-8000}:8000" restart: unless-stopped diff --git a/docs/adr/0005-modele-prediction-lightgbm.md b/docs/adr/0005-modele-prediction-lightgbm.md new file mode 100644 index 0000000..cb39524 --- /dev/null +++ b/docs/adr/0005-modele-prediction-lightgbm.md @@ -0,0 +1,101 @@ +# 0005 - Modèle de prédiction de consommation : LightGBM + +- Statut : accepté +- Date : 2026-09-17 + +## Contexte + +Le schéma `prediction` contraint déjà la forme de la solution (deux cibles de régression, +`consumption_kw` instantané et `consumption_kwh` sur `period_minutes`, un statut +`insufficient_data` à détecter explicitement), mais aucun modèle n'était choisi. Trois +contraintes non négociables cadrent le choix, discutées dans l'issue #89 : + +1. **EC06** (grille de notation individuelle) exige un modèle **entraîné, versionné avec + MLflow**, exposé via un endpoint fonctionnel, avec **surveillance du drift** en production. +2. **Aucun GPU dédié** : l'infra tourne on-premise sur une VM à 4 CPU / 8 Gio RAM (ou + `Standard_B2s`/`B2ms` côté Azure, 2 vCPU max) — Azure Machine Learning est de toute façon + bloqué par la politique Azure du projet. +3. **Délai serré** : le jalon J3 arrive à échéance le lendemain de la décision, J4 concentre déjà + 26 issues sur 4 jours. Un modèle long à mettre en œuvre retarde la chaîne complète (service de + scoring #37, moteur de recommandations #38, tests ML #44/#45, tous bloqués par ce choix). + +Le jeu de données est déjà disponible (`all_sites_combined.csv`, fourni par le formateur) : 7 +sites, 2 ans au pas horaire (~17 500 lignes/site), avec `temperature_celsius`, +`humidity_percent`, `solar_irradiance_wm2` en régresseurs exogènes et des features calendaires +déjà dérivées. + +## Options comparées + +| Critère | Prophet | LightGBM/XGBoost | NeuralProphet | SARIMA | Holt-Winters | Mistral (LLM) | +|---|---|---|---|---|---|---| +| Saisonnalités multiples (jour/semaine/an) | Oui, nativement | Oui, via features engineered | Oui, nativement, + autorégression | Une seule, lourd à régler (SARIMAX) | Une seule, aucune | Non conçu pour ça | +| Régresseurs exogènes | Oui, mais doivent être connus dans le futur au moment de la prédiction | Oui, via lags/moyennes glissantes sur le passé | Oui, natif | Difficile en multivarié | Aucun support | Contexte de prompt seulement, non appris | +| Coût de calcul (VM sans GPU) | Faible | Faible | Élevé (deep learning) | Faible | Faible | Élevé à prohibitif | +| Versionnable MLflow | Oui, nativement | Oui, nativement | Pas de support direct | Oui, générique | Pas de support direct | Rien à versionner (pas un modèle entraîné) | +| Granularité | Un modèle par site (ou par site × métrique) | Un seul modèle global sur tous les sites | Un par site | Un par site | Un par site | — | +| Effort avant l'échéance | Faible | Moyen (feature engineering) | Élevé | Moyen à élevé | Faible en soi | Élevé, ou factice | + +## Décision + +**LightGBM, un seul modèle global** couvrant tous les sites, plutôt qu'un modèle par site +(Prophet) ou par famille de site. Cible : `consumption_kwh`, avec `period_minutes` comme feature +d'entrée plutôt que comme étape d'agrégation post-prédiction. Suivi et versioning via **MLflow** +(tracking + registre de modèles), sur le magasin local par défaut dans un premier temps — +l'hébergement sur l'infra k3s reste une question ouverte, non bloquante pour démarrer. + +Raisons retenues, au-delà du tableau ci-dessus : + +- **Un modèle global plutôt qu'un modèle par site** évite la fragilité des sites les moins + fournis en historique : ils bénéficient de ce qu'apprennent les autres sites, ce qu'un Prophet + par site ne permet pas. +- **Aucune dépendance à une prévision météo future.** Prophet exige que ses régresseurs + (`add_regressor`) soient connus au moment prédit ; `temperature_celsius`, + `humidity_percent` et `solar_irradiance_wm2` sont des mesures passées, pas des prévisions, et + aucune source de prévision météo n'existe dans le projet. LightGBM s'en sort avec des features + de lag/moyenne glissante calculées sur l'historique déjà présent dans `reading`, cf. + `ml/enervision_ml/features.py` — un choix qui vaut aussi bien à l'entraînement qu'au futur + scoring. +- **Apprentissage direct sur `consumption_kwh`** avec `period_minutes` en feature, sans étape + d'agrégation intermédiaire que la sortie continue de Prophet aurait demandée. +- **Coût de calcul compatible avec l'infra on-premise sans GPU.** + +Débat complet, comparatif détaillé et décision finale : issue #89 (Johan, phyri0s, +ValentinDeFaria), actée en réunion d'équipe du 2026-09-17 et validée par l'ensemble de l'équipe. + +## Conséquences + +- Le pipeline d'entraînement (`ml/`, ce commit) lit `reading` + `site` par connexion PostgreSQL + directe et construit ses features par lags/moyennes glissantes plutôt que par régresseurs + contemporains, cf. `docs/ML-START.md`. +- Le rôle PostgreSQL dédié `enervision_ml` (lecture seule sur `reading`/`site`) n'est pas encore + provisionné : dette déjà assumée par l'ADR 0003 pour les comptes ETL/ML, `ML_DATABASE_URL` + pointe pour l'instant vers la même base que le backend applicatif en développement. +- Le service de scoring (#37), le moteur de recommandations (#38) et les tests de dérive + (#44/#45) restent à construire ; ils consommeront le même module `enervision_ml.features`, qui + doit rester strictement identique entre entraînement et scoring pour éviter un train/serve skew + silencieux. +- La surveillance de drift exigée par EC06 n'est pas encore implémentée : ce ticket ne livre que + l'entraînement et son suivi MLflow (paramètres, métriques, artefact modèle), pas le monitoring + en production. +- L'hébergement de MLflow sur l'infra k3s reste une question ouverte ; le magasin SQLite local + (`ml/mlflow.db`, ignoré par git) suffit pour l'instant à comparer des runs sur un poste. + +## Alternatives écartées + +- **Prophet** : proposition initiale, écartée après débat pour les raisons ci-dessus (modèle par + site, dépendance à une météo future indisponible, agrégation kWh en post-traitement). Reste un + candidat solide si un jour le projet doit produire une décomposition tendance/saisonnalité + explicable pour un usage différent. +- **Mistral (LLM)** : aucun produit dédié aux séries temporelles ; interroger un LLM généraliste + ne constitue pas un modèle entraîné et versionnable au sens MLflow, et le fine-tuning est hors + budget de calcul et hors délai. +- **SARIMA** : ne gère pas nativement plusieurs régresseurs exogènes ; réglage (p,d,q,P,D,Q) plus + long que le délai disponible. +- **NeuralProphet** : fait tout ce que fait Prophet et apprend en plus des motifs autorégressifs, + mais coûte plus cher en calcul (pas de GPU disponible) et n'a pas d'outil MLflow direct — piste + d'évolution possible, non engageante à ce stade. +- **Holt-Winters** : écarté d'entrée, pas seulement différé — aucun support de régresseurs + exogènes, alors que la météo et l'irradiance sont nécessaires ici. +- **CatBoost** : même famille que LightGBM, gère nativement les colonnes catégorielles (comme + `site_type`) sans encodage manuel. Non rejeté, différé : candidat à comparer si LightGBM + plafonne en précision. diff --git a/docs/architecture/00-vue-ensemble.md b/docs/architecture/00-vue-ensemble.md index b49a70f..e2b68b1 100644 --- a/docs/architecture/00-vue-ensemble.md +++ b/docs/architecture/00-vue-ensemble.md @@ -74,9 +74,10 @@ collecteur ne vient le lire. | Domaine | Technologie | Emplacement | Statut | Ce qui existe réellement | |---|---|---|---|---| -| Backend | FastAPI, Python 3.14 | `apps/backend` | `En cours` | Factory, configuration, journalisation, 2 sondes de santé, `/metrics`, contrat OpenAPI versionné, routes `sites` et `recommendations` en lecture (endpoints → services → repositories → models) | +| Backend | FastAPI, Python 3.14 | `apps/backend` | `En cours` | Factory, configuration, journalisation, 2 sondes de santé, `/metrics`, contrat OpenAPI versionné, routes `sites`, `alerts`, `recommendations`, `stats/summary` et `readings` en lecture (endpoints → services → repositories → models) | | Frontend | Angular 22, Node 24 | `apps/frontend` | `En cours` | Tableau de bord sur route `/dashboard`, deux services HTTP, graphiques Chart.js, données servies par des fixtures | | Base | PostgreSQL 17 + TimescaleDB | `db` | `Fait` | Bootstrap de l'extension, base de test, chaîne Alembic. Schéma applicatif créé (`site`, `dataset`, `reading` en hypertable, `prediction`, `alert`, `recommendation`) | +| ML | LightGBM, MLflow | `ml` | `En cours` | Pipeline d'entraînement (features par lags/moyennes glissantes, baseline de persistance saisonnière, suivi MLflow local), voir [ADR 0005](../adr/0005-modele-prediction-lightgbm.md) et [ML-START.md](../../ML-START.md). Scoring, endpoint et surveillance de dérive pas encore construits | | Infra | Terraform, k3s single-node | `infra/terraform` | `En cours` | Module d'installation du cluster. 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` | `Cible` | Rien | diff --git a/docs/architecture/20-backend.md b/docs/architecture/20-backend.md index d803893..553ac4e 100644 --- a/docs/architecture/20-backend.md +++ b/docs/architecture/20-backend.md @@ -146,6 +146,7 @@ Deux fichiers d'environnement, deux usages : `.env` à la racine alimente `docke | GET | `/api/v1/recommendations` | Liste les recommandations. `lecteur` | 401, 403, 500 | | GET | `/api/v1/recommendations/{recommendation_id}` | Décrit une recommandation. `lecteur` | 401, 403, 404, 422, 500 | | GET | `/api/v1/stats/summary` | Résume la consommation instantanée du parc. `lecteur` | 401, 403, 500 | +| GET | `/api/v1/readings` | Historique des lectures, filtrable par `site_id`, fenêtre `start`/`end` (24h par défaut, 90 jours maximum) et paginé par `limit`/`offset`. `lecteur` | 400, 401, 403, 422, 500 | | GET | `/api/v1/sensors/status` | État de santé des capteurs par site, dérivé de la dernière lecture. `admin` | 401, 403, 500 | | GET | `/metrics` | Format Prometheus, hors du schéma. Jeton requis si `APP_METRICS_TOKEN` est posé | | | GET | `/docs`, `/redoc`, `/openapi.json` | Hors du schéma. Fermés en `staging` et en `prod` | | @@ -159,21 +160,33 @@ Les codes de la dernière colonne sont ceux que le schéma **déclare**, et le f donc de modifier la liste dans ce fichier de test. `GET /sites` et `GET /sites/{site_id}` sont la première route métier, et le gabarit repris pour -`GET /alerts` puis pour les suivantes (`reading`, `dataset`, `prediction`, `recommendation`) : les -quatre couches `endpoints → services → repositories → models` y sont toutes présentes, sur des -tables déjà créées par la révision Alembic `e6d2026091501`. Elles n'exigent que le rôle `lecteur`, -contrairement aux routes d'administration qui exigent `admin`. `SiteRepository` lit par -`AsyncSession.scalar()` (une ligne) et `AsyncSession.scalars()` (plusieurs lignes) plutôt que par -`execute()`, ce qui la rend testable par la fixture `fake_session` au niveau endpoint sans base -réelle. `GET /recommendations` et `GET /recommendations/{recommendation_id}` reprennent le même -gabarit à la lettre, `recommendation_id` étant un entier plutôt qu'un texte. Une recommandation ne -porte pas `site_id` : elle remonte à un site par sa seule `alert_id`, `alert` n'étant pas encore -exposée. `GET /stats/summary` et `GET /sensors/status` agrègent chacune deux repositories -(`SiteRepository`, `ReadingRepository`) dans un service dédié plutôt que d'exposer une table : -elles n'entrent donc pas dans ce gabarit route-par-table. Le contrat détaillé pour le frontend est -dans +`GET /alerts` puis pour les suivantes (`dataset`, `prediction`) : les quatre couches +`endpoints → services → repositories → models` y sont toutes présentes, sur des tables déjà créées +par la révision Alembic `e6d2026091501`. Elles n'exigent que le rôle `lecteur`, contrairement aux +routes d'administration qui exigent `admin`. `SiteRepository` lit par `AsyncSession.scalar()` (une +ligne) et `AsyncSession.scalars()` (plusieurs lignes) plutôt que par `execute()`, ce qui la rend +testable par la fixture `fake_session` au niveau endpoint sans base réelle. `GET /recommendations` +et `GET /recommendations/{recommendation_id}` reprennent le même gabarit à la lettre, +`recommendation_id` étant un entier plutôt qu'un texte. Une recommandation ne porte pas `site_id` : +elle remonte à un site par sa seule `alert_id`, `alert` n'étant pas encore exposée. `GET +/stats/summary` et `GET /sensors/status` agrègent chacune deux repositories (`SiteRepository`, +`ReadingRepository`) dans un service dédié plutôt que d'exposer une table : elles n'entrent donc +pas dans ce gabarit route-par-table. Le contrat détaillé pour le frontend est dans [31-contrat-authentification.md](31-contrat-authentification.md). +`GET /readings` reprend le même gabarit mais s'en écarte sur un point : `reading` est l'hypertable, +donc la seule table métier pouvant porter des années d'historique, ce que `docs/architecture/ +owasp-traceabilite.md` documentait comme un risque ouvert (API4, aucune pagination plafonnée ni +fenêtre temporelle maximale). `ReadingService` porte donc une couche de validation absente des +autres routes de lecture : `start`/`end` sont optionnels (24 dernières heures par défaut si les +deux sont omis, l'un défaut par rapport à l'autre sinon), l'écart entre les deux est plafonné à 90 +jours (`FENETRE_MAXIMALE`), et `limit`/`offset` (défaut 500, plafond 2000) empêchent qu'une fenêtre +large mais peu dense reste malgré tout coûteuse. Un dépassement de plafond répond `400` (règle +métier, portée par le service) plutôt que `422` (réservé à la validation structurelle de FastAPI, +par exemple `limit` hors bornes). Un datetime sans fuseau dans `start`/`end` est traité comme de +l'UTC plutôt que rejeté : le comparer tel quel à `reading.timestamp` (`timestamptz`) échouerait +côté pilote, en `500` plutôt qu'un refus propre. + ### `/health/ready` Cette sonde porte une garde décrite dans l'[ADR 0001](../adr/0001-postgresql-timescaledb.md) : un @@ -249,7 +262,7 @@ Les modèles de `app/schemas/errors.py` décrivent ce que les gestionnaires renv ### Ajouter une route métier Checklist pour toute nouvelle route sur le gabarit `sites`/`alerts`/`recommendations`/`stats`/ -`sensors` (`reading`, `dataset`, `prediction`) : +`readings`/`sensors` (`dataset`, `prediction`) : 1. Composer ses `responses=` depuis `app/api/openapi.py` : `REPONSES_LECTEUR`/`REPONSES_ADMIN` au niveau de l'`include_router()` du routeur, `REPONSE_VALIDATION` et les codes locaux @@ -326,7 +339,9 @@ Trois fichiers méritent d'être connus avant de toucher à l'authentification : agir sur le site B. C'est la limite connue du modèle, et le risque BOLA du top 10 API. - **Rôles PostgreSQL cantonnés** pour l'ETL et le travail d'apprentissage, plus le `REVOKE` sur `audit_log`. Dette assumée, décrite dans les ADR 0003 et 0004. -- **Pagination et fenêtrage** des lectures de séries temporelles, qui conditionnent la forme des - endpoints métier. Sans plafond dur, une requête sur dix ans d'historique suffit à faire tomber - l'API. +- **Pagination et fenêtrage** : posés sur `GET /readings` (fenêtre plafonnée à 90 jours, + `limit`/`offset` plafonné à 2000), mais toujours en `limit`/`offset` simple — pas de curseur ni + de plan de secours si un `offset` élevé sur une fenêtre dense devient lent en pratique. + `statement_timeout` reste absent au niveau de la connexion, donc rien n'empêche une requête + individuelle de tourner longtemps si les plafonds au-dessus d'elle s'avéraient insuffisants. - **Politique de versionnement de l'API** au-delà du préfixe `/api/v1`. diff --git a/docs/architecture/31-contrat-authentification.md b/docs/architecture/31-contrat-authentification.md index 9c9fe66..981cd85 100644 --- a/docs/architecture/31-contrat-authentification.md +++ b/docs/architecture/31-contrat-authentification.md @@ -20,6 +20,8 @@ gérer : il suffit d'envoyer les requêtes avec `withCredentials`. | POST | `/api/v1/auth/logout` | cookie | `204` | | POST | `/api/v1/auth/logout-all` | jeton d'accès | `204` | | POST | `/api/v1/auth/password` | jeton d'accès | `200` `TokenResponse` | +| POST | `/api/v1/auth/forgot-password` | aucune | `202` (toujours, que le compte existe ou non) | +| POST | `/api/v1/auth/reset-password` | aucune (jeton dans le corps) | `200` `TokenResponse` | | GET | `/api/v1/auth/me` | jeton d'accès | `200` `PrincipalResponse` | | GET | `/api/v1/users` | jeton d'accès, `admin` | `200` `UserResponse[]` | | POST | `/api/v1/users` | jeton d'accès, `admin` | `201` `TemporaryPasswordResponse` | @@ -51,7 +53,17 @@ codes d'erreur ci-dessous reste la référence de comportement, le schéma celle } // POST /auth/password -{ "current_password": "...", "new_password": "..." } // 12 à 128 caractères +{ "current_password": "...", "new_password": "..." } // 8 à 128 caractères, au moins 1 majuscule, 1 minuscule, 1 chiffre, 1 caractère spécial + +// POST /auth/forgot-password +{ "email": "operateur@enervision.fr" } +// Répond toujours 202, sans corps, que le compte existe, soit inactif, ou soit inconnu. + +// POST /auth/reset-password +{ "token": "...", "new_password": "..." } // même règle de complexité que /auth/password +// Le jeton vient du lien reçu par email, valable 15 minutes, à usage unique. Répond +// TokenResponse au succès (l'appareil qui pose le nouveau mot de passe reste connecté), ou 400 +// si le jeton est invalide, déjà utilisé, ou expiré. ``` Le secret de rafraîchissement **n'apparaît jamais** dans le corps de la réponse. @@ -70,6 +82,9 @@ Le secret de rafraîchissement **n'apparaît jamais** dans le corps de la répon | `403` avec `detail: "Droits insuffisants"` | rôle trop bas | masquer ou griser l'action, ne pas déconnecter | | `403` sur `/auth/refresh`, `/logout`, `/logout-all`, `/password` | origine hors liste autorisée (voir « Origines autorisées ») | erreur de configuration réseau, pas un cas à gérer par l'utilisateur | | `422` | corps invalide | le détail donne `champ` et `type`, jamais la valeur envoyée | +| `429` sur `/auth/forgot-password` | trop de demandes | afficher l'attente, l'en-tête `Retry-After` donne les secondes | +| `400` sur `/auth/reset-password` | lien invalide, déjà utilisé, ou expiré | inviter à redemander un lien depuis `/forgot-password` | +| `403` sur `/auth/reset-password` | origine hors liste autorisée | erreur de configuration réseau, pas un cas à gérer par l'utilisateur | ## Les quatre règles qui comptent diff --git a/docs/architecture/40-data.md b/docs/architecture/40-data.md index 6566753..ffd5e6d 100644 --- a/docs/architecture/40-data.md +++ b/docs/architecture/40-data.md @@ -231,3 +231,73 @@ et ne sont pas considérées comme des alertes actuelles. - Les mesures API ne sont pas rattachées à un dataset historique. - Une alerte peut être associée à une prévision du même site. - Une alerte peut donner lieu à plusieurs recommandations. + +## Ingestion des données historiques + +Le MVP EnerVision initialise les données énergétiques à partir du dataset fourni dans le cadre du projet. + +Le dataset de référence contient 122 647 mesures issues de 7 sites et couvre la période du 1er janvier 2023 au 31 décembre 2024. + +Les fichiers sources CSV et JSON sont nécessaires uniquement pour l'initialisation des données. Ils ne sont pas versionnés dans Git et sont placés localement dans `data/raw/`. + +### Architecture du flux + +```text +Dataset CSV + métadonnées JSON + | + v + historical_import.py + | + +------+------+ + | | + v v + Validation SHA-256 + | Traçabilité + +------+------+ + | + v + Normalisation + + qualité data + | + v + Chargement par batches + | + v + PostgreSQL / TimescaleDB + | | | + v v v + dataset site reading +``` + +Le pipeline est développé en Python. + +Pandas est utilisé pour l'extraction, la validation et la préparation des données. SQLAlchemy Async assure le chargement transactionnel dans PostgreSQL/TimescaleDB. + +Une empreinte SHA-256 permet d'identifier le dataset utilisé et d'assurer sa traçabilité. + +Les valeurs manquantes sont conservées pendant l'ingestion afin de préserver les données sources. Aucune imputation n'est réalisée à cette étape. + +Le chargement des mesures est effectué par batches de 1 000 lignes. + +Les données provenant du dataset CSV sont identifiées par `source = "csv"` et associées à leur `dataset_id`. + +### Résultats validés + +Le chargement de référence a permis d'obtenir : + +- 1 dataset ; +- 7 sites ; +- 122 647 mesures ; +- 0 doublon détecté dans le dataset source. + +L'idempotence a également été vérifiée par une deuxième exécution du pipeline : aucune nouvelle mesure n'a été créée et le nombre de `reading` est resté à 122 647. + +La procédure détaillée d'installation, d'exécution, de validation et de contrôle du pipeline est disponible dans `etl/README.md`. + +### Évolution prévue + +L'étape suivante consiste à orchestrer les traitements Data avec Apache Airflow. + +L'orchestration réutilisera la logique ETL existante afin de séparer la logique de traitement de la planification, du suivi des exécutions et de la gestion des erreurs. + +Le pipeline servira ensuite de base à la préparation des données nécessaires au modèle de Machine Learning. diff --git a/docs/architecture/owasp-traceabilite.md b/docs/architecture/owasp-traceabilite.md index 15c2b51..34e6853 100644 --- a/docs/architecture/owasp-traceabilite.md +++ b/docs/architecture/owasp-traceabilite.md @@ -22,6 +22,7 @@ lecture seule ; plusieurs lignes resteront à compléter une fois les endpoints | Argon2id m=19456 t=2 p=1, re-hachage passif quand les paramètres changent | `app/core/hashing.py` | A02 Cryptographic Failures, A07 Identification and Authentication Failures | | Message et temps de réponse identiques quelle que soit la cause de l'échec, haché leurre sur adresse inconnue | `app/services/auth.py` | A07, API2 | | Limitation de débit à fenêtre glissante sur trois clés, évaluée avant le hachage | `app/services/auth.py`, `app/repositories/login_attempt.py` | A07, API4 Unrestricted Resource Consumption | +| `GET /readings` : fenêtre temporelle plafonnée à 90 jours (24h par défaut), `limit`/`offset` plafonné à 2000, refus `400` si la fenêtre est inversée ou trop large | `app/services/reading.py` | API4 | | Absence de verrouillage de compte, qui serait un déni de service | ADR 0002 | API4 | | Jeton de rafraîchissement opaque, haché en base, rotation avec détection de réutilisation | `app/services/auth.py`, `app/repositories/refresh_token.py` | A07, API2 | | Séparation structurelle accès / rafraîchissement, impossible à confondre | ADR 0002 | API2 | @@ -50,7 +51,7 @@ règles Bandit. Ajouter Bandit à la CI serait redondant, contrairement à ce qu | Item | État | Raison | |---|---|---| | **API1 Broken Object Level Authorization** | **ouvert** | Les rôles sont globaux, il n'y a pas de portée par site : `GET /sites/{site_id}` et `GET /recommendations/{recommendation_id}` répondent à tout compte `lecteur` pour n'importe quel site ou recommandation, sans vérifier une affectation compte-site qui n'existe pas encore. Un opérateur du site A pourra agir sur le site B dès que les endpoints d'écriture métier existeront. Correctif prévu : table d'affectation compte-site, contrôle d'appartenance dans la même dépendance que le contrôle de rôle. | -| **API4, lectures de séries temporelles** | **ouvert** | Pas encore d'endpoint métier, donc ni pagination plafonnée, ni fenêtre temporelle maximale, ni `statement_timeout`. C'est la façon la plus probable dont la démonstration tombera : une requête sur dix ans d'historique suffit. | +| **API4, lectures de séries temporelles** | **partiel** | `GET /readings` plafonne la fenêtre temporelle (90 jours) et la pagination (`limit` ≤ 2000), voir plus haut. Reste ouvert : pagination en `limit`/`offset` simple plutôt qu'en curseur (un `offset` élevé sur une fenêtre dense reste coûteux), et aucun `statement_timeout` au niveau de la connexion pour borner une requête individuelle si les plafonds au-dessus s'avéraient insuffisants. | | **API8 Security Misconfiguration, transport** | **ouvert** | Pas de TLS, donc ni HSTS, ni cookie `Secure` réellement posé en production. Ils appartiennent au terminateur TLS, qui n'existe pas. | | **API10 Unsafe Consumption of APIs** | **ouvert, et spécifique à ce projet** | L'API Mock de l'école n'a aucune authentification, tourne en HTTP clair sur le réseau de l'école, et expose un endpoint mutatif à quiconque. Sa réponse doit être traitée comme une entrée hostile : bornes physiques, taille de tableau plafonnée, timeout, et frontière d'anti-corruption. La conséquence la plus sérieuse n'est pas la fausse alerte, c'est l'empoisonnement du jeu d'entraînement du modèle de prédiction. | | **A08 Software and Data Integrity Failures** | **partiel** | La CI vérifie le code mais n'analyse ni les dépendances ni les images. `.terraform.lock.hcl` reste ignoré par git, ce qui contredit une chaîne d'approvisionnement maîtrisée. | diff --git a/etl/README.md b/etl/README.md index cac0f3d..b835311 100644 --- a/etl/README.md +++ b/etl/README.md @@ -1,9 +1,349 @@ -# ETL +# Pipeline ETL — EnerVision -Orchestration Apache Airflow : ingestion des mesures, agregations continues, -controles de qualite. Non initialise, voir le ticket dedie. +## Objectif -- `airflow/dags` : DAGs. -- `airflow/plugins` : operateurs et hooks maison. -- `airflow/include` : requetes SQL et ressources referencees par les DAGs. -- `airflow/tests` : tests d'integrite des DAGs. +Le pipeline ETL EnerVision permet d'intégrer les données énergétiques historiques dans PostgreSQL/TimescaleDB. + +Cette première étape du pipeline Data permet de charger le dataset fourni dans le cadre du projet, contenant les mesures énergétiques de 7 sites sur la période du 1er janvier 2023 au 31 décembre 2024. + +Le pipeline assure : + +- l'extraction des données sources ; +- la validation de leur structure et de leur cohérence ; +- la normalisation des données nécessaires au stockage ; +- le suivi de la qualité des données ; +- la traçabilité du dataset importé ; +- le chargement des données dans PostgreSQL/TimescaleDB ; +- l'idempotence du chargement afin d'éviter la création de doublons. + +## Données sources + +Le dataset est fourni par le formateur dans le cadre du projet EnerVision. + +Il contient les deux fichiers suivants : + +```text +all_sites_combined.csv +dataset_metadata.json +``` + +Ces fichiers sont nécessaires une seule fois pour initialiser les données historiques de l'environnement. + +Ils ne sont pas versionnés dans Git. Chaque membre de l'équipe récupère manuellement une fois les fichiers fournis par le formateur et les place dans : + +```text +data/raw/ +``` + +Structure locale attendue : + +```text +data/ +└── raw/ + ├── .gitkeep + ├── all_sites_combined.csv + └── dataset_metadata.json +``` + +Le fichier `.gitkeep` est versionné afin de conserver le répertoire `data/raw/` dans Git. Les fichiers CSV et JSON sont ignorés par Git. + +## Technologies utilisées + +| Technologie | Utilisation | +|---|---| +| Python | Développement du pipeline ETL | +| Pandas | Lecture, validation et transformation des données | +| JSON | Lecture des métadonnées du dataset | +| hashlib / SHA-256 | Identification, intégrité et traçabilité du dataset | +| SQLAlchemy Async | Connexion et chargement asynchrone en base | +| PostgreSQL | Stockage relationnel | +| TimescaleDB | Stockage des séries temporelles énergétiques | +| Docker Compose | Exécution de l'environnement local | +| Alembic | Gestion des migrations du schéma | +| uv | Gestion et exécution de l'environnement Python | +| Ruff | Contrôle de la qualité du code | +| Pytest | Tests automatisés | + +## Fonctionnement du pipeline + +Le script principal d'import se trouve dans : + +```text +apps/backend/app/etl/historical_import.py +``` + +Le flux d'import est le suivant : + +```text +CSV + métadonnées JSON + | + v + Extraction + | + v + Validation + | + v + Traçabilité SHA-256 + | + v + Transformation + | + v + Chargement par batches + | + v +PostgreSQL / TimescaleDB +``` + +### 1. Extraction + +Le pipeline charge : + +- `all_sites_combined.csv` avec Pandas ; +- `dataset_metadata.json` avec le module JSON de Python. + +### 2. Validation + +Avant toute écriture en base, le pipeline contrôle notamment : + +- la présence des colonnes obligatoires ; +- le nombre de lignes ; +- la cohérence des identifiants des sites ; +- la cohérence des informations associées aux sites ; +- les doublons sur le couple `(site_id, timestamp)` ; +- les timestamps ; +- les valeurs manquantes. + +Une incohérence détectée pendant cette étape interrompt l'import avant le chargement. + +### 3. Dry-run + +Un mode `--dry-run` permet d'exécuter les contrôles sans écrire de données dans PostgreSQL. + +Il permet notamment de vérifier : + +- le nombre de lignes ; +- le nombre de sites ; +- la période couverte ; +- les doublons ; +- les valeurs NULL ; +- l'empreinte SHA-256. + +### 4. Traçabilité + +Une empreinte SHA-256 est calculée à partir du fichier CSV afin d'identifier le dataset utilisé. + +Empreinte SHA-256 du dataset validé : + +```text +6E3777A97A5660B11855750B9028F70BE72138A11F26795F3A35D9CE74CE0C8D +``` + +Cette empreinte participe à la traçabilité du dataset chargé. + +### 5. Transformation + +Les timestamps sont normalisés avec la timezone : + +```text +UTC +``` + +Le pipeline détermine également la qualité des mesures à partir des données disponibles. + +Les valeurs manquantes sont conservées pendant cette phase afin de préserver la donnée source. + +Aucune imputation n'est réalisée pendant l'ingestion : + +```text +imputed_values = NULL +imputation_method = NULL +``` + +### 6. Chargement + +Le chargement est réalisé avec SQLAlchemy Async dans PostgreSQL/TimescaleDB. + +Les données sont enregistrées dans les tables : + +```text +dataset +site +reading +``` + +Les mesures sont chargées par batches de : + +```text +1000 lignes +``` + +Les mesures provenant du dataset CSV utilisent : + +```text +source = "csv" +dataset_id = identifiant du dataset +``` + +Cette représentation respecte les contraintes définies dans le schéma de la base. + +## Dataset validé + +Le dataset traité contient : + +- 122 647 mesures ; +- 7 sites ; +- une période du 01/01/2023 au 31/12/2024 ; +- 0 doublon détecté dans les données sources. + +Valeurs manquantes identifiées : + +| Variable | Nombre de valeurs NULL | +|---|---:| +| `consumption_kwh` | 2 840 | +| `consumption_euros` | 2 487 | +| `temperature_celsius` | 3 416 | +| `humidity_percent` | 3 423 | +| `solar_irradiance_wm2` | 3 964 | + +## Exécution en dry-run + +Depuis le dossier : + +```text +apps/backend/ +``` + +exécuter : + +```powershell +uv run python -m app.etl.historical_import ` + --csv ..\..\data\raw\all_sites_combined.csv ` + --metadata ..\..\data\raw\dataset_metadata.json ` + --source-timezone UTC ` + --dry-run +``` + +Aucune donnée n'est écrite dans la base pendant cette exécution. + +## Chargement réel + +Depuis `apps/backend/` : + +```powershell +uv run python -m app.etl.historical_import ` + --csv ..\..\data\raw\all_sites_combined.csv ` + --metadata ..\..\data\raw\dataset_metadata.json ` + --source-timezone UTC +``` + +Le chargement est effectué progressivement par batches. + +Exemple : + +```text +Chargement : 1000/122647 +Chargement : 2000/122647 +... +Chargement : 122647/122647 +``` + +## Résultats obtenus + +Après le chargement initial, les contrôles en base ont confirmé : + +```text +datasets = 1 +sites = 7 +readings = 122647 +source = csv +``` + +Le premier import a créé : + +```text +nouvelles lectures : 122647 +``` + +## Idempotence + +Le pipeline a été exécuté une deuxième fois avec exactement le même dataset afin de vérifier son idempotence. + +Résultat : + +```text +lectures avant : 122647 +lectures après : 122647 +nouvelles lectures : 0 +``` + +Une nouvelle exécution du même import ne crée donc pas de mesures supplémentaires pour le dataset testé. + +## Vérifications SQL + +Depuis la racine du projet, vérifier le nombre d'enregistrements avec : + +```powershell +docker compose exec db psql -U enervision -d enervision -c "SELECT COUNT(*) AS datasets FROM dataset; SELECT COUNT(*) AS sites FROM site; SELECT COUNT(*) AS readings FROM reading;" +``` + +Résultat attendu après l'import initial : + +```text +datasets = 1 +sites = 7 +readings = 122647 +``` + +Vérifier la source des mesures avec : + +```powershell +docker compose exec db psql -U enervision -d enervision -c "SELECT source, COUNT(*) FROM reading GROUP BY source ORDER BY source;" +``` + +Résultat attendu : + +```text +csv | 122647 +``` + +## Tests et qualité + +Les tests automatisés du pipeline sont situés dans : + +```text +apps/backend/tests/etl/ +``` + +Ils couvrent notamment : + +- la validation du dataset ; +- les colonnes obligatoires ; +- la détection des doublons ; +- la cohérence des sites ; +- la normalisation des timestamps ; +- la gestion des valeurs manquantes ; +- la classification de la qualité des données ; +- la construction des mesures destinées à la BDD ; +- le respect des contraintes du modèle de données. + +Exécuter les tests ETL : + +```powershell +uv run pytest tests\etl -v +``` + +Contrôler la qualité du code : + +```powershell +uv run ruff check app\etl tests\etl +``` + +## Suite du pipeline Data + +L'import historique constitue la première brique du pipeline Data EnerVision. + +La prochaine étape consiste à orchestrer les traitements ETL avec Apache Airflow, puis à préparer les données nécessaires à l'entraînement du modèle de Machine Learning. + +Airflow sera utilisé comme orchestrateur des traitements existants et ne remplacera pas la logique métier déjà implémentée dans le pipeline ETL. \ No newline at end of file diff --git a/ml/.python-version b/ml/.python-version new file mode 100644 index 0000000..6324d40 --- /dev/null +++ b/ml/.python-version @@ -0,0 +1 @@ +3.14 diff --git a/ml/README.md b/ml/README.md new file mode 100644 index 0000000..4d69363 --- /dev/null +++ b/ml/README.md @@ -0,0 +1,88 @@ +# ML EnerVision + +Pipeline d'entrainement du modele de prevision de consommation energetique. Contexte complet : +[ADR 0005](../docs/adr/0005-modele-prediction-lightgbm.md) (choix du modele) et +[ML-START.md](../ML-START.md) (mecanisme d'acces aux donnees). + +| Element | Choix | +|--------------|-----------------------------------------------| +| Python | 3.14 | +| Gestionnaire | uv (`uv.lock` fait foi) | +| Modele | LightGBM (regression, un seul modele global) | +| Suivi | MLflow (parametres, metriques, artefact) | +| Lint/format | ruff | +| Typage | mypy en mode strict | +| Tests | pytest, donnees synthetiques uniquement | + +Projet Python independant de `apps/backend` : le service FastAPI n'a aucune raison d'embarquer +LightGBM/MLflow en dependance de production juste pour un script d'entrainement lance a la main. + +## Installation + +```bash +uv sync --all-groups +``` + +## Donnees + +Deux sources, qui produisent le meme schema en sortie de `enervision_ml.data` (voir le module +pour le detail) : + +- **CSV** (`--csv`), chemin de demarrage : lit directement `ml/data/all_sites_combined.csv`, le + jeu de donnees fourni pour le jalon J3. Ce dossier est ignore par git (gros fichier, local a + chaque poste) : recuperer le CSV et `dataset_metadata.json` aupres de l'equipe et les placer + dans `ml/data/` avant d'entrainer sur cette source. +- **PostgreSQL** (par defaut, sans `--csv`) : connexion directe a `reading` + `site` via + `ML_DATABASE_URL`, le chemin cible decrit dans `ML-START.md`. Le role PostgreSQL dedie + `enervision_ml` (lecture seule) n'est pas encore provisionne (dette assumee, cf. ADR 0003 et + ADR 0005) ; en attendant, pointer `ML_DATABASE_URL` vers la meme base que le backend suffit en + developpement. + +## Entrainement + +```bash +uv run python -m enervision_ml.train --csv data/all_sites_combined.csv +# ou, une fois la base peuplee et ML_DATABASE_URL positionnee : +uv run python -m enervision_ml.train +``` + +Ecrit le modele entraine dans `models/lightgbm-consumption.txt` (`Booster.save_model()`, dossier +ignore par git) et journalise la run dans MLflow : parametres, MAE/RMSE/MAPE du modele **et** de +la baseline de persistance saisonniere (consommation de la meme heure, une semaine avant), et +l'artefact modele. Sans `MLFLOW_TRACKING_URI`, MLflow ecrit dans un magasin SQLite local +(`./mlflow.db`, ignore par git) : `uv run mlflow ui` pour le consulter. + +`--test-fraction` (0.15 par defaut) fixe la part la plus recente de l'historique reservee a la +validation. La coupure est **chronologique**, jamais un tirage aleatoire de lignes : un tirage +aleatoire laisserait des lignes de validation "voir" des lignes d'entrainement via leurs +lags/moyennes glissantes, une fuite qui masquerait un surapprentissage. + +## Commandes + +```bash +uv run ruff check . # lint +uv run ruff format . # format +uv run mypy enervision_ml tests # typage strict +uv run pytest # tests +``` + +Depuis la racine du monorepo, via le `Makefile` : `make install-ml`, `make ml-lint`, +`make ml-typecheck`, `make ml-test`, `make ml-check`, `make ml-train` (`CSV=chemin` optionnel). + +## Ou ecrire les tests + +Aucun test ne touche PostgreSQL ni un serveur MLflow distant : `enervision_ml.data.load_from_csv` +et le chargement CSV de test suffisent a exercer `build_features` sur des donnees reelles ou +synthetiques, et `enervision_ml.train.train()` accepte un `tracking_uri` SQLite isole (`tmp_path` +pytest) pour un test de bout en bout sans effet de bord. `enervision_ml.data.load_from_database` +n'est pas encore couvert : il n'existe aucune base PostgreSQL a interroger en CI ni dans cet +environnement de developpement pour le moment. + +## Piege a connaitre + +`enervision_ml.features.build_features` est **le seul endroit** qui doit construire les features +du modele, a l'entrainement comme au futur scoring (service #37, pas encore construit). Si les +deux divergent meme legerement (une fenetre de moyenne glissante calculee differemment, par +exemple), le modele recoit en production des features qui ne ressemblent plus a ce qu'il a +appris, et ses predictions deviennent silencieusement mauvaises sans qu'aucune erreur ne se +declenche. Ne jamais reecrire cette logique ailleurs : importer `enervision_ml.features`. diff --git a/ml/enervision_ml/__init__.py b/ml/enervision_ml/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/ml/enervision_ml/baseline.py b/ml/enervision_ml/baseline.py new file mode 100644 index 0000000..91e77f8 --- /dev/null +++ b/ml/enervision_ml/baseline.py @@ -0,0 +1,16 @@ +"""Baseline de persistance saisonniere, la barre a depasser pour justifier LightGBM. + +Predit la consommation de l'heure cible par celle de la meme heure, une semaine avant +(`consumption_kwh_lag_168h`) : une consommation energetique horaire est dominee par le cycle +hebdomadaire (jours ouvres contre week-end), donc ce naif-la est deja un concurrent serieux. +""" + +import pandas as pd + +from enervision_ml.features import TARGET_COLUMN + +SEASONAL_LAG_COLUMN = f"{TARGET_COLUMN}_lag_168h" + + +def seasonal_persistence_predictions(features: pd.DataFrame) -> pd.Series: + return features[SEASONAL_LAG_COLUMN] diff --git a/ml/enervision_ml/config.py b/ml/enervision_ml/config.py new file mode 100644 index 0000000..ee9a316 --- /dev/null +++ b/ml/enervision_ml/config.py @@ -0,0 +1,38 @@ +"""Configuration minimale du pipeline, lue depuis l'environnement. + +Pas de `BaseSettings` Pydantic ici : contrairement a `apps/backend`, ce n'est pas un service qui +tourne en continu mais un script CLI lance a la main (cf. `docs/ML-START.md`), donc pas de +surface de configuration a valider au demarrage d'un processus long. +""" + +import os + +# Piege : ce n'est pas `DATABASE_URL` (celui du backend applicatif, proprietaire du schema). +# `docs/ML-START.md` et l'ADR 0003 designent un role PostgreSQL dedie et restreint en lecture, +# `enervision_ml`, non encore provisionne (dette assumee). Reutiliser `DATABASE_URL` par defaut +# ferait tourner l'entrainement avec les droits d'ecriture complets de l'application, en +# silence. +ML_DATABASE_URL_ENV = "ML_DATABASE_URL" + +MLFLOW_EXPERIMENT_NAME = "consumption-forecast" +MLFLOW_TRACKING_URI_ENV = "MLFLOW_TRACKING_URI" + + +def database_url() -> str: + valeur = os.environ.get(ML_DATABASE_URL_ENV) + if not valeur: + raise RuntimeError( + f"{ML_DATABASE_URL_ENV} n'est pas defini. Elle doit pointer vers un role " + "PostgreSQL en lecture seule sur `reading`/`site` (voir docs/ML-START.md)." + ) + return valeur + + +def mlflow_tracking_uri() -> str | None: + """`None` laisse MLflow choisir son magasin local par defaut. + + Piege : ce n'est plus `./mlruns` en clair depuis MLflow 3 (magasin fichier "maintenance + mode", refuse une URI `file:` explicite sauf `MLFLOW_ALLOW_FILE_STORE=true`), mais une base + SQLite locale (`./mlflow.db`). + """ + return os.environ.get(MLFLOW_TRACKING_URI_ENV) diff --git a/ml/enervision_ml/data.py b/ml/enervision_ml/data.py new file mode 100644 index 0000000..e7b5853 --- /dev/null +++ b/ml/enervision_ml/data.py @@ -0,0 +1,68 @@ +"""Chargement des donnees d'entrainement. + +Deux chemins, qui doivent produire le meme schema de sortie (colonnes `site_id`, `timestamp`, +`consumption_kwh`, `temperature_celsius`, `humidity_percent`, `solar_irradiance_wm2`, +`is_working_hours`, `site_type`, `capacity_kw`), consomme ensuite par `enervision_ml.features` : + +- `load_from_database` : le chemin cible decrit dans `docs/ML-START.md`, connexion PostgreSQL + directe (`reading` + `site`), pas par l'API. C'est celui qu'utilisera le pipeline en + production, une fois le role PostgreSQL dedie `enervision_ml` provisionne (dette assumee, + documentee dans `CLAUDE.md` et l'ADR 0003 : pour l'instant, la meme chaine de connexion que le + backend applicatif convient en developpement). +- `load_from_csv` : chemin de demarrage, tant que la base locale n'est pas peuplee. Lit + directement `ml/data/all_sites_combined.csv` (jeu de donnees fourni pour le jalon J3, cf. + issue #89), le meme fichier que celui consomme par + `apps/backend/app/etl/historical_import.py`. `capacity_kw` n'existe pas dans ce CSV : la + colonne est renvoyee a `NaN`, que LightGBM gere nativement comme valeur manquante. +""" + +from pathlib import Path + +import pandas as pd +from sqlalchemy import text +from sqlalchemy.engine import Connectable + +OUTPUT_COLUMNS = [ + "site_id", + "timestamp", + "consumption_kwh", + "temperature_celsius", + "humidity_percent", + "solar_irradiance_wm2", + "is_working_hours", + "site_type", + "capacity_kw", +] + +_READING_QUERY = text( + """ + SELECT + r.site_id, + r.timestamp, + r.consumption_kwh, + r.temperature_celsius, + r.humidity_percent, + r.solar_irradiance_wm2, + r.is_working_hours, + s.site_type, + s.capacity_kw + FROM reading r + JOIN site s ON s.site_id = r.site_id + ORDER BY r.site_id, r.timestamp + """ +) + + +def load_from_database(connection: Connectable) -> pd.DataFrame: + """Lit l'historique complet `reading` + `site` depuis PostgreSQL.""" + frame = pd.read_sql(_READING_QUERY, connection) + return frame[OUTPUT_COLUMNS] + + +def load_from_csv(csv_path: Path) -> pd.DataFrame: + """Lit le jeu de donnees CSV historique (chemin de demarrage, hors base).""" + frame = pd.read_csv(csv_path, parse_dates=["timestamp"]) + frame["capacity_kw"] = float("nan") + frame["is_working_hours"] = frame["is_working_hours"].astype(bool) + + return frame[OUTPUT_COLUMNS] diff --git a/ml/enervision_ml/features.py b/ml/enervision_ml/features.py new file mode 100644 index 0000000..a723470 --- /dev/null +++ b/ml/enervision_ml/features.py @@ -0,0 +1,129 @@ +"""Construction des features pour le modele de consommation. + +Module partage entre l'entrainement et le futur scoring (cf. `docs/ML-START.md`) : la fonction +qui construit les features doit rester strictement identique des deux cotes, sous peine de +"train/serve skew" silencieux (le modele recoit en production des features qui ne ressemblent +plus a ce qu'il a appris). +""" + +from collections.abc import Sequence + +import pandas as pd + +# Cible de l'entrainement : consommation en kWh, jamais consumption_kw (absent des lectures +# historiques CSV, cf. `apps/backend/app/etl/historical_import.py`). +TARGET_COLUMN = "consumption_kwh" + +# Decalages horaires utilises pour les lags et moyennes glissantes : une heure avant, un jour +# avant (meme heure), une semaine avant (meme heure, meme jour) - saisonnalites usuelles d'une +# consommation energetique horaire. +LAG_HOURS: Sequence[int] = (1, 24, 168) +ROLLING_WINDOWS_HOURS: Sequence[int] = (24, 168) + +STATIC_FEATURE_COLUMNS: Sequence[str] = ("site_type", "capacity_kw") + +CALENDAR_FEATURE_COLUMNS: Sequence[str] = ( + "hour", + "day_of_week", + "month", + "is_weekend", + "is_working_hours", +) + +WEATHER_COLUMNS: Sequence[str] = ( + "temperature_celsius", + "humidity_percent", + "solar_irradiance_wm2", +) + + +def build_features(frame: pd.DataFrame) -> pd.DataFrame: + """Construit la matrice de features a partir de lectures brutes triees par site. + + `frame` doit porter au minimum : `site_id`, `timestamp`, `consumption_kwh`, + `is_working_hours`, les trois colonnes meteo, et les colonnes statiques de site + (`site_type`, `capacity_kw`). Une ligne par `(site_id, timestamp)`, sans doublon. + + Piege : la meteo n'entre dans les features que decalee (lag/moyenne glissante), jamais a + l'instant cible. A l'entrainement comme au scoring, la meteo au moment predit n'est pas une + mesure mais une prevision que le projet n'a pas — l'utiliser telle quelle romprait le + contrat entre entrainement et usage reel (la feature ne serait tout simplement plus + disponible en production). Cf. debat d'architecture dans l'issue #89. + """ + travail = frame.sort_values(["site_id", "timestamp"]).reset_index(drop=True) + + calendrier = _calendar_features(travail["timestamp"]) + decalees = _lagged_features(travail) + + features = pd.concat( + [ + travail[["site_id", "timestamp"]], + travail[list(STATIC_FEATURE_COLUMNS)], + calendrier, + travail[["is_working_hours"]], + decalees, + travail[[TARGET_COLUMN]], + ], + axis=1, + ) + + # `period_minutes` : resolution temporelle de la cible. Les lectures historiques sont toutes + # au pas horaire (cf. `dataset_metadata.json`, `frequency: "1h""), donc une constante pour + # l'instant. Exposee comme feature plutot que supposee implicitement, pour que le modele + # puisse un jour apprendre sur d'autres resolutions sans reentrainement de zero. + features["period_minutes"] = 60 + + return features + + +def feature_columns() -> list[str]: + """Liste ordonnee des colonnes d'entree du modele (hors identifiants et cible).""" + lag_columns = [f"consumption_kwh_lag_{h}h" for h in LAG_HOURS] + rolling_columns = [ + f"{colonne}_rolling_mean_{fenetre}h" + for colonne in (TARGET_COLUMN, *WEATHER_COLUMNS) + for fenetre in ROLLING_WINDOWS_HOURS + ] + weather_lag_columns = [f"{colonne}_lag_1h" for colonne in WEATHER_COLUMNS] + + return [ + *STATIC_FEATURE_COLUMNS, + *CALENDAR_FEATURE_COLUMNS, + "period_minutes", + *lag_columns, + *rolling_columns, + *weather_lag_columns, + ] + + +def _calendar_features(timestamps: pd.Series) -> pd.DataFrame: + instants = pd.to_datetime(timestamps) + + return pd.DataFrame( + { + "hour": instants.dt.hour, + "day_of_week": instants.dt.dayofweek, + "month": instants.dt.month, + "is_weekend": instants.dt.dayofweek.isin([5, 6]).astype(int), + } + ) + + +def _lagged_features(travail: pd.DataFrame) -> pd.DataFrame: + par_site = travail.groupby("site_id", sort=False) + colonnes: dict[str, pd.Series] = {} + + for decalage in LAG_HOURS: + colonnes[f"{TARGET_COLUMN}_lag_{decalage}h"] = par_site[TARGET_COLUMN].shift(decalage) + + for colonne in (TARGET_COLUMN, *WEATHER_COLUMNS): + decale = par_site[colonne].shift(1) + for fenetre in ROLLING_WINDOWS_HOURS: + colonnes[f"{colonne}_rolling_mean_{fenetre}h"] = decale.groupby( + travail["site_id"] + ).transform(lambda serie, fenetre=fenetre: serie.rolling(fenetre, min_periods=1).mean()) + + for colonne in WEATHER_COLUMNS: + colonnes[f"{colonne}_lag_1h"] = par_site[colonne].shift(1) + + return pd.DataFrame(colonnes, index=travail.index) diff --git a/ml/enervision_ml/metrics.py b/ml/enervision_ml/metrics.py new file mode 100644 index 0000000..aeb281f --- /dev/null +++ b/ml/enervision_ml/metrics.py @@ -0,0 +1,24 @@ +"""Metriques de regression partagees entre le modele et la baseline.""" + +import numpy as np +import pandas as pd +from sklearn.metrics import mean_absolute_error, root_mean_squared_error + + +def regression_metrics(y_true: pd.Series, y_pred: pd.Series) -> dict[str, float]: + """MAE, RMSE et MAPE (en %), sur les paires non nulles des deux series.""" + valides = y_true.notna() & y_pred.notna() + reel = y_true[valides] + predit = y_pred[valides] + + # MAPE diverge a consommation nulle : les mesures a zero (site a l'arret) sont exclues de ce + # seul ratio, pas des autres metriques. + non_nul = reel != 0 + mape = float(np.mean(np.abs((reel[non_nul] - predit[non_nul]) / reel[non_nul])) * 100) + + return { + "mae": float(mean_absolute_error(reel, predit)), + "rmse": float(root_mean_squared_error(reel, predit)), + "mape": mape, + "n_observations": int(valides.sum()), + } diff --git a/ml/enervision_ml/train.py b/ml/enervision_ml/train.py new file mode 100644 index 0000000..fad5b89 --- /dev/null +++ b/ml/enervision_ml/train.py @@ -0,0 +1,245 @@ +"""Entrainement du modele LightGBM de prevision de consommation energetique. + +CLI autonome, sur le meme gabarit que `apps/backend/app/etl/historical_import.py` +(argparse, connexion directe a la base). Cf. `docs/ML-START.md`, section 1. + + uv run python -m enervision_ml.train --csv ../ml/data/all_sites_combined.csv + uv run python -m enervision_ml.train # lit ML_DATABASE_URL + +Le modele entraine est ecrit en fichier (`Booster.save_model()`) et suivi par MLflow (parametres, +metriques, artefact). La base ne stocke jamais le modele lui-meme, seulement une reference vers +lui (`prediction.model_reference`, pose par le futur service de scoring - hors perimetre ici). +""" + +import argparse +from pathlib import Path +from typing import Any + +import lightgbm as lgb +import mlflow +import mlflow.lightgbm +import pandas as pd +from sqlalchemy import create_engine + +from enervision_ml import config +from enervision_ml.baseline import seasonal_persistence_predictions +from enervision_ml.data import load_from_csv, load_from_database +from enervision_ml.features import TARGET_COLUMN, build_features, feature_columns +from enervision_ml.metrics import regression_metrics + +CATEGORICAL_FEATURES = ["site_type"] + +LIGHTGBM_PARAMS: dict[str, Any] = { + "objective": "regression", + "metric": "mae", + "learning_rate": 0.05, + "num_leaves": 63, + "min_data_in_leaf": 50, + "feature_fraction": 0.8, + "bagging_fraction": 0.8, + "bagging_freq": 1, + "verbosity": -1, +} + +NUM_BOOST_ROUND = 1000 +EARLY_STOPPING_ROUNDS = 50 +DEFAULT_TEST_FRACTION = 0.15 + + +def load_raw_frame(csv_path: Path | None) -> pd.DataFrame: + """Lit les lectures brutes, depuis le CSV de demarrage ou depuis PostgreSQL.""" + if csv_path is not None: + return load_from_csv(csv_path) + + engine = create_engine(config.database_url()) + try: + return load_from_database(engine) + finally: + engine.dispose() + + +def chronological_split( + features: pd.DataFrame, test_fraction: float +) -> tuple[pd.DataFrame, pd.DataFrame]: + """Coupe par date de coupure, jamais par tirage aleatoire de lignes. + + Une coupure aleatoire laisserait des lignes d'apres la coupure "voir" des lignes d'avant via + leurs lags/moyennes glissantes, une fuite qui masquerait un surapprentissage a l'evaluation. + """ + coupure = features["timestamp"].quantile(1 - test_fraction) + entrainement = features[features["timestamp"] < coupure] + validation = features[features["timestamp"] >= coupure] + return entrainement, validation + + +def prepare_dataset(frame: pd.DataFrame, columns: list[str]) -> tuple[pd.DataFrame, pd.Series]: + typee = frame.copy() + typee["site_type"] = typee["site_type"].astype("category") + return typee[columns], typee[TARGET_COLUMN] + + +def train( + *, + csv_path: Path | None, + model_output: Path, + test_fraction: float = DEFAULT_TEST_FRACTION, + tracking_uri: str | None = None, +) -> tuple[dict[str, float], dict[str, float]]: + """Execute le pipeline complet et rend (metriques du modele, metriques de la baseline).""" + raw = load_raw_frame(csv_path) + features = build_features(raw) + columns = feature_columns() + + # Les premieres 168h par site n'ont pas de lag hebdomadaire complet : ni entrainables, ni + # comparables a la baseline saisonniere qui en depend. + utilisable = features.dropna(subset=[TARGET_COLUMN, f"{TARGET_COLUMN}_lag_168h"]) + + entrainement, validation = chronological_split(utilisable, test_fraction) + if entrainement.empty or validation.empty: + raise ValueError( + "Fenetre d'entrainement ou de validation vide : jeu de donnees trop court pour " + f"test_fraction={test_fraction}." + ) + + X_train, y_train = prepare_dataset(entrainement, columns) + X_valid, y_valid = prepare_dataset(validation, columns) + + train_set = lgb.Dataset( + X_train, + label=y_train, + categorical_feature=CATEGORICAL_FEATURES, + free_raw_data=False, + ) + valid_set = lgb.Dataset( + X_valid, + label=y_valid, + reference=train_set, + categorical_feature=CATEGORICAL_FEATURES, + free_raw_data=False, + ) + + booster = lgb.train( + LIGHTGBM_PARAMS, + train_set, + num_boost_round=NUM_BOOST_ROUND, + valid_sets=[valid_set], + callbacks=[ + lgb.early_stopping(EARLY_STOPPING_ROUNDS, verbose=False), + lgb.log_evaluation(period=0), + ], + ) + + predictions = pd.Series( + booster.predict(X_valid, num_iteration=booster.best_iteration), + index=X_valid.index, + ) + model_metrics = regression_metrics(y_valid, predictions) + baseline_metrics = regression_metrics(y_valid, seasonal_persistence_predictions(validation)) + + model_output.parent.mkdir(parents=True, exist_ok=True) + booster.save_model(str(model_output)) + + _log_to_mlflow( + tracking_uri=tracking_uri, + booster=booster, + model_metrics=model_metrics, + baseline_metrics=baseline_metrics, + n_train=len(X_train), + n_valid=len(X_valid), + test_fraction=test_fraction, + model_output=model_output, + ) + + return model_metrics, baseline_metrics + + +def _log_to_mlflow( + *, + tracking_uri: str | None, + booster: lgb.Booster, + model_metrics: dict[str, float], + baseline_metrics: dict[str, float], + n_train: int, + n_valid: int, + test_fraction: float, + model_output: Path, +) -> None: + uri = tracking_uri or config.mlflow_tracking_uri() + if uri is not None: + mlflow.set_tracking_uri(uri) + mlflow.set_experiment(config.MLFLOW_EXPERIMENT_NAME) + + with mlflow.start_run(): + mlflow.log_params( + { + **LIGHTGBM_PARAMS, + "num_boost_round": booster.best_iteration or NUM_BOOST_ROUND, + "test_fraction": test_fraction, + "n_train": n_train, + "n_valid": n_valid, + } + ) + mlflow.log_metrics({f"model_{cle}": valeur for cle, valeur in model_metrics.items()}) + mlflow.log_metrics({f"baseline_{cle}": valeur for cle, valeur in baseline_metrics.items()}) + mlflow.lightgbm.log_model(booster, name="model") + mlflow.log_artifact(str(model_output)) + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description="Entrainement du modele LightGBM EnerVision") + + parser.add_argument( + "--csv", + type=Path, + default=None, + help=( + "Chemin vers le CSV historique (chemin de demarrage). Omis, lit ML_DATABASE_URL " + "et se connecte directement a PostgreSQL (reading + site)." + ), + ) + parser.add_argument( + "--model-output", + type=Path, + default=Path("models/lightgbm-consumption.txt"), + help="Chemin d'ecriture du modele entraine. Defaut : models/lightgbm-consumption.txt.", + ) + parser.add_argument( + "--test-fraction", + type=float, + default=DEFAULT_TEST_FRACTION, + help=( + "Part la plus recente de l'historique reservee a la validation. " + f"Defaut : {DEFAULT_TEST_FRACTION}." + ), + ) + parser.add_argument( + "--mlflow-tracking-uri", + default=None, + help="Surcharge MLFLOW_TRACKING_URI. Omis, magasin SQLite local (./mlflow.db).", + ) + + return parser.parse_args() + + +def main() -> None: + args = parse_args() + + model_metrics, baseline_metrics = train( + csv_path=args.csv, + model_output=args.model_output, + test_fraction=args.test_fraction, + tracking_uri=args.mlflow_tracking_uri, + ) + + print("Modele LightGBM :", model_metrics) + print("Baseline saisonniere (t-168h) :", baseline_metrics) + + if model_metrics["mae"] < baseline_metrics["mae"]: + gain = (1 - model_metrics["mae"] / baseline_metrics["mae"]) * 100 + print(f"LightGBM bat la baseline de {gain:.1f}% de MAE.") + else: + print("LightGBM ne bat pas la baseline saisonniere sur ce decoupage.") + + +if __name__ == "__main__": + main() diff --git a/ml/models/.gitkeep b/ml/models/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/ml/pyproject.toml b/ml/pyproject.toml new file mode 100644 index 0000000..b3c368b --- /dev/null +++ b/ml/pyproject.toml @@ -0,0 +1,79 @@ +[project] +name = "enervision-ml" +version = "0.1.0" +description = "Pipeline d'entrainement et de scoring du modele de prediction EnerVision (LightGBM)" +requires-python = ">=3.14,<3.15" +dependencies = [ + "pandas>=3.0.5", + "sqlalchemy>=2.0.52", + "psycopg[binary]>=3.2", + "lightgbm>=4.6", + "scikit-learn>=1.7", + "mlflow>=3.0", +] + +[dependency-groups] +dev = [ + "ruff>=0.16.7", + "mypy>=2.3.1", + "pytest>=9.1.1", + "pandas-stubs>=3.0.5.260914", +] + +[build-system] +requires = ["hatchling>=1.32.0"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["enervision_ml"] + +[tool.ruff] +line-length = 100 +target-version = "py314" +src = ["enervision_ml", "tests"] + +[tool.ruff.lint] +select = [ + "E", "W", + "F", + "I", + "N", + "UP", + "B", + "C4", + "SIM", + "TID", + "RUF", + "S", + "PT", +] +# N806 : `X`/`y` (donnees/cible) est la convention scikit-learn/LightGBM, pas une variable mal +# nommee. +ignore = ["B008", "N806"] + +[tool.ruff.lint.per-file-ignores] +"tests/**/*.py" = ["S101"] + +[tool.ruff.lint.isort] +known-first-party = ["enervision_ml"] + +[tool.ruff.format] +quote-style = "double" + +[tool.mypy] +python_version = "3.14" +strict = true +warn_unreachable = true + +[[tool.mypy.overrides]] +module = ["tests.*"] +disallow_untyped_defs = false + +[[tool.mypy.overrides]] +module = ["lightgbm.*", "mlflow.*", "sklearn.*"] +ignore_missing_imports = true + +[tool.pytest.ini_options] +testpaths = ["tests"] +addopts = "-q --strict-markers -m 'not integration'" +markers = ["integration: requiert une base PostgreSQL joignable"] diff --git a/ml/tests/test_baseline.py b/ml/tests/test_baseline.py new file mode 100644 index 0000000..5aecc0c --- /dev/null +++ b/ml/tests/test_baseline.py @@ -0,0 +1,11 @@ +import pandas as pd + +from enervision_ml.baseline import SEASONAL_LAG_COLUMN, seasonal_persistence_predictions + + +def test_seasonal_persistence_predictions_returns_the_168h_lag_column() -> None: + features = pd.DataFrame({SEASONAL_LAG_COLUMN: [1.0, 2.0, 3.0], "autre_colonne": [9, 9, 9]}) + + predictions = seasonal_persistence_predictions(features) + + assert predictions.tolist() == [1.0, 2.0, 3.0] diff --git a/ml/tests/test_features.py b/ml/tests/test_features.py new file mode 100644 index 0000000..7a6fdd6 --- /dev/null +++ b/ml/tests/test_features.py @@ -0,0 +1,96 @@ +from datetime import UTC, datetime, timedelta +from typing import cast + +import pandas as pd + +from enervision_ml.features import TARGET_COLUMN, build_features, feature_columns + + +def make_site_reading( + site_id: str, *, heures: int, depart: datetime, valeur: float = 10.0 +) -> pd.DataFrame: + instants = [depart + timedelta(hours=h) for h in range(heures)] + return pd.DataFrame( + { + "site_id": site_id, + "timestamp": instants, + TARGET_COLUMN: [valeur + h for h in range(heures)], + "temperature_celsius": [15.0] * heures, + "humidity_percent": [50.0] * heures, + "solar_irradiance_wm2": [0.0] * heures, + "is_working_hours": [True] * heures, + "site_type": "office", + "capacity_kw": 100.0, + } + ) + + +def two_site_frame(heures: int = 200) -> pd.DataFrame: + depart = datetime(2026, 1, 1, tzinfo=UTC) + return pd.concat( + [ + make_site_reading("site-a", heures=heures, depart=depart, valeur=10.0), + make_site_reading("site-b", heures=heures, depart=depart, valeur=1000.0), + ], + ignore_index=True, + ) + + +def test_build_features_returns_every_declared_feature_column() -> None: + features = build_features(two_site_frame()) + + manquantes = set(feature_columns()) - set(features.columns) + + assert manquantes == set() + + +def test_build_features_sets_a_constant_period_minutes() -> None: + features = build_features(two_site_frame()) + + assert (features["period_minutes"] == 60).all() + + +def test_build_features_lag_1h_matches_the_previous_hour_of_the_same_site() -> None: + features = build_features(two_site_frame(heures=200)) + site_a = features[features["site_id"] == "site-a"].reset_index(drop=True) + + assert site_a.loc[10, f"{TARGET_COLUMN}_lag_1h"] == site_a.loc[9, TARGET_COLUMN] + + +def test_build_features_lag_168h_is_nan_before_a_full_week_of_history() -> None: + features = build_features(two_site_frame(heures=200)) + site_a = features[features["site_id"] == "site-a"].reset_index(drop=True) + + assert pd.isna(site_a.loc[100, f"{TARGET_COLUMN}_lag_168h"]) + assert not pd.isna(site_a.loc[168, f"{TARGET_COLUMN}_lag_168h"]) + + +def test_build_features_never_leaks_lags_across_sites() -> None: + # site-b demarre a 1000 : si un lag de site-a s'y glissait, la valeur sortirait de son + # echelle (10, 11, 12, ...). + features = build_features(two_site_frame(heures=200)) + site_b = features[features["site_id"] == "site-b"].reset_index(drop=True) + + assert cast(float, site_b.loc[5, f"{TARGET_COLUMN}_lag_1h"]) >= 1000.0 + + +def test_build_features_rolling_mean_excludes_the_current_hour() -> None: + # Valeurs constantes sauf la derniere ligne : si la moyenne glissante incluait l'heure + # courante, la constante ne resterait pas stable jusqu'au bout. + depart = datetime(2026, 1, 1, tzinfo=UTC) + frame = make_site_reading("site-a", heures=200, depart=depart, valeur=10.0) + frame[TARGET_COLUMN] = 10.0 + frame.loc[frame.index[-1], TARGET_COLUMN] = 10_000.0 + + features = build_features(frame).reset_index(drop=True) + + assert features.loc[len(features) - 1, f"{TARGET_COLUMN}_rolling_mean_24h"] == 10.0 + + +def test_build_features_computes_calendar_fields_from_the_timestamp() -> None: + depart = datetime(2026, 1, 3, 6, tzinfo=UTC) # un samedi, 6h + features = build_features(make_site_reading("site-a", heures=1, depart=depart)) + + assert features.loc[0, "hour"] == 6 + assert features.loc[0, "day_of_week"] == 5 + assert features.loc[0, "is_weekend"] == 1 diff --git a/ml/tests/test_metrics.py b/ml/tests/test_metrics.py new file mode 100644 index 0000000..d492dee --- /dev/null +++ b/ml/tests/test_metrics.py @@ -0,0 +1,45 @@ +import pandas as pd +import pytest + +from enervision_ml.metrics import regression_metrics + + +def test_regression_metrics_computes_mae_and_rmse_on_known_values() -> None: + y_true = pd.Series([10.0, 20.0, 30.0]) + y_pred = pd.Series([12.0, 18.0, 33.0]) + + resultat = regression_metrics(y_true, y_pred) + + assert resultat["mae"] == pytest.approx(7 / 3) + assert resultat["n_observations"] == 3 + + +def test_regression_metrics_ignores_rows_with_a_missing_value() -> None: + y_true = pd.Series([10.0, None, 30.0]) + y_pred = pd.Series([12.0, 18.0, None]) + + resultat = regression_metrics(y_true, y_pred) + + assert resultat["n_observations"] == 1 + assert resultat["mae"] == 2.0 + + +def test_regression_metrics_excludes_zero_actuals_from_mape_only() -> None: + y_true = pd.Series([0.0, 10.0]) + y_pred = pd.Series([5.0, 12.0]) + + resultat = regression_metrics(y_true, y_pred) + + assert resultat["n_observations"] == 2 + assert resultat["mape"] == pytest.approx(20.0) + + +def test_metrics_are_zero_for_a_perfect_prediction() -> None: + y_true = pd.Series([10.0, 20.0]) + y_pred = pd.Series([10.0, 20.0]) + + resultat = regression_metrics(y_true, y_pred) + + assert resultat["mae"] == 0.0 + assert resultat["rmse"] == 0.0 + assert resultat["mape"] == 0.0 diff --git a/ml/tests/test_train.py b/ml/tests/test_train.py new file mode 100644 index 0000000..3084983 --- /dev/null +++ b/ml/tests/test_train.py @@ -0,0 +1,76 @@ +from datetime import UTC, datetime, timedelta +from pathlib import Path + +import numpy as np +import pandas as pd + +from enervision_ml.features import TARGET_COLUMN, build_features, feature_columns +from enervision_ml.train import chronological_split, prepare_dataset, train + + +def make_frame(site_id: str, *, heures: int, depart: datetime) -> pd.DataFrame: + instants = [depart + timedelta(hours=h) for h in range(heures)] + rng = np.random.default_rng(42) + + return pd.DataFrame( + { + "site_id": site_id, + "timestamp": instants, + TARGET_COLUMN: 100.0 + 10.0 * np.sin(np.arange(heures) / 24) + rng.normal(0, 1, heures), + "temperature_celsius": 15.0, + "humidity_percent": 50.0, + "solar_irradiance_wm2": 0.0, + "is_working_hours": True, + "site_type": "office", + "capacity_kw": 100.0, + } + ) + + +def test_chronological_split_puts_the_most_recent_rows_in_validation() -> None: + depart = datetime(2026, 1, 1, tzinfo=UTC) + features = make_frame("site-a", heures=200, depart=depart) + + entrainement, validation = chronological_split(features, test_fraction=0.2) + + assert entrainement["timestamp"].max() < validation["timestamp"].min() + # La coupure vient d'un quantile sur les dates : une approximation du taux demande, pas un + # decompte exact de lignes. + assert abs(len(validation) - 0.2 * len(features)) <= 2 + + +def test_prepare_dataset_types_site_type_as_a_pandas_category() -> None: + depart = datetime(2026, 1, 1, tzinfo=UTC) + features = build_features(make_frame("site-a", heures=200, depart=depart)) + + X, y = prepare_dataset(features, feature_columns()) + + assert X["site_type"].dtype.name == "category" + assert y.name == TARGET_COLUMN + + +def test_train_runs_end_to_end_on_synthetic_data_and_beats_a_dummy_baseline( + tmp_path: Path, +) -> None: + depart = datetime(2026, 1, 1, tzinfo=UTC) + frame = pd.concat( + [ + make_frame("site-a", heures=400, depart=depart), + make_frame("site-b", heures=400, depart=depart), + ], + ignore_index=True, + ) + csv_path = tmp_path / "synthetic.csv" + frame.to_csv(csv_path, index=False) + + model_metrics, baseline_metrics = train( + csv_path=csv_path, + model_output=tmp_path / "model.txt", + test_fraction=0.2, + tracking_uri=f"sqlite:///{tmp_path / 'mlflow.db'}", + ) + + assert (tmp_path / "model.txt").exists() + assert model_metrics["n_observations"] > 0 + assert model_metrics["mae"] >= 0 + assert baseline_metrics["n_observations"] == model_metrics["n_observations"] diff --git a/ml/uv.lock b/ml/uv.lock new file mode 100644 index 0000000..ed8e065 --- /dev/null +++ b/ml/uv.lock @@ -0,0 +1,1977 @@ +version = 1 +revision = 3 +requires-python = "==3.14.*" +resolution-markers 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