Merge remote-tracking branch 'origin/dev' into feat/endpoint-recommandations

This commit is contained in:
Dorian PESCE
2026-09-16 14:03:24 +02:00
18 changed files with 649 additions and 22 deletions
+9
View File
@@ -23,6 +23,7 @@ from app.core.security import decode_access_token as decode_token
from app.db.session import get_session
from app.repositories.audit_log import AuditLogRepository
from app.repositories.login_attempt import LoginAttemptRepository
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
@@ -30,6 +31,7 @@ from app.repositories.user import UserRepository
from app.services.auth import AuthService, LoginPolicy
from app.services.recommendation import RecommendationService
from app.services.site import SiteService
from app.services.stats import StatsService
from app.services.user import UserService
SessionDep = Annotated[AsyncSession, Depends(get_session)]
@@ -149,6 +151,13 @@ def get_recommendation_service(session: SessionDep) -> RecommendationService:
RecommendationServiceDep = Annotated[RecommendationService, Depends(get_recommendation_service)]
def get_stats_service(session: SessionDep) -> StatsService:
return StatsService(sites=SiteRepository(session), readings=ReadingRepository(session))
StatsServiceDep = Annotated[StatsService, Depends(get_stats_service)]
async def get_current_principal(
credentials: CredentialsDep,
session: SessionDep,
+5
View File
@@ -61,6 +61,11 @@ TAGS: Final[list[dict[str, Any]]] = [
"`lecteur`."
),
},
{
"name": "stats",
"description": "Statistiques agrégées de consommation. Accessible à partir du rôle "
"`lecteur`.",
},
]
cookie_de_rafraichissement = APIKeyCookie(
@@ -0,0 +1,16 @@
from fastapi import APIRouter
from app.api.deps import LecteurDep, StatsServiceDep
from app.schemas.stats import StatsSummaryResponse
router = APIRouter()
@router.get(
"/summary",
response_model=StatsSummaryResponse,
summary="Résume la consommation instantanée du parc",
)
async def get_summary(_: LecteurDep, service: StatsServiceDep) -> StatsSummaryResponse:
resume = await service.summary()
return StatsSummaryResponse.model_validate(resume)
+2 -1
View File
@@ -1,7 +1,7 @@
from fastapi import APIRouter
from app.api.openapi import REPONSE_SERVEUR, REPONSES_ADMIN, REPONSES_LECTEUR
from app.api.v1.endpoints import auth, health, recommendations, sites, users
from app.api.v1.endpoints import auth, health, recommendations, sites, stats, users
api_router = APIRouter(responses=REPONSE_SERVEUR)
api_router.include_router(health.router, prefix="/health", tags=["health"])
@@ -14,3 +14,4 @@ api_router.include_router(
tags=["recommendations"],
responses=REPONSES_LECTEUR,
)
api_router.include_router(stats.router, prefix="/stats", tags=["stats"], responses=REPONSES_LECTEUR)
+21
View File
@@ -0,0 +1,21 @@
from collections.abc import Sequence
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.energy import Reading
class ReadingRepository:
def __init__(self, session: AsyncSession) -> None:
self._session = session
async def latest_by_site(self) -> Sequence[Reading]:
# `.distinct(site_id)` compile en `DISTINCT ON (site_id)` sous PostgreSQL : une seule
# ligne par site, la plus récente grâce à l'ordre composite qui suit.
requete = (
select(Reading)
.distinct(Reading.site_id)
.order_by(Reading.site_id, Reading.timestamp.desc())
)
return (await self._session.execute(requete)).scalars().all()
+26
View File
@@ -0,0 +1,26 @@
from datetime import datetime
from typing import Literal
from pydantic import BaseModel, ConfigDict
class SiteSummaryResponse(BaseModel):
model_config = ConfigDict(from_attributes=True)
site_id: str
site_name: str
current_consumption_kw: float | None
capacity_kw: float
load_percent: float | None
data_quality: Literal["good", "partial", "degraded", "critical"]
class StatsSummaryResponse(BaseModel):
model_config = ConfigDict(from_attributes=True)
timestamp: datetime
total_sites: int
total_consumption_kw: float
total_capacity_kw: float
average_load_percent: float
sites: list[SiteSummaryResponse]
+81
View File
@@ -0,0 +1,81 @@
from dataclasses import dataclass
from datetime import UTC, datetime
from typing import Literal
from app.models.energy import Reading, Site
from app.repositories.reading import ReadingRepository
from app.repositories.site import SiteRepository
DataQuality = Literal["good", "partial", "degraded", "critical"]
QUALITES_CONNUES: frozenset[str] = frozenset({"good", "partial", "degraded", "critical"})
@dataclass(frozen=True, slots=True)
class SiteConsumption:
site_id: str
site_name: str
current_consumption_kw: float | None
capacity_kw: float
load_percent: float | None
data_quality: DataQuality
@dataclass(frozen=True, slots=True)
class ConsumptionSummary:
timestamp: datetime
total_sites: int
total_consumption_kw: float
total_capacity_kw: float
average_load_percent: float
sites: list[SiteConsumption]
class StatsService:
def __init__(self, sites: SiteRepository, readings: ReadingRepository) -> None:
self._sites = sites
self._readings = readings
async def summary(self) -> ConsumptionSummary:
sites = await self._sites.list_all()
dernieres = {lecture.site_id: lecture for lecture in await self._readings.latest_by_site()}
resumes = [self._resume_site(site, dernieres.get(site.site_id)) for site in sites]
consommation_totale = sum(r.current_consumption_kw or 0 for r in resumes)
capacite_totale = sum(r.capacity_kw for r in resumes)
return ConsumptionSummary(
timestamp=datetime.now(UTC),
total_sites=len(resumes),
total_consumption_kw=consommation_totale,
total_capacity_kw=capacite_totale,
average_load_percent=(
consommation_totale / capacite_totale * 100 if capacite_totale > 0 else 0
),
sites=resumes,
)
@staticmethod
def _resume_site(site: Site, derniere: Reading | None) -> SiteConsumption:
capacite = site.capacity_kw or 0
# Piège : `data_quality` est nul dès qu'un site n'a jamais reçu de lecture, ou que le
# producteur n'a pas su la qualifier. Le contrat frontend n'a pas de valeur pour ce cas,
# `critical` est la seule des quatre qui n'induit pas une confiance qu'on n'a pas.
qualite: DataQuality = "critical"
consommation = None
if derniere is not None and derniere.data_quality in QUALITES_CONNUES:
qualite = derniere.data_quality # type: ignore[assignment]
consommation = derniere.consumption_kw
charge = (
consommation / capacite * 100 if consommation is not None and capacite > 0 else None
)
return SiteConsumption(
site_id=site.site_id,
site_name=site.site_name,
current_consumption_kw=consommation,
capacity_kw=capacite,
load_percent=charge,
data_quality=qualite,
)