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Imago/app/main.py
T
bruno 92cf23dbb3
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Live AI provider/model switching without restart
Backend:
- RuntimeAIConfig singleton: mutable in-memory overrides for provider/model
- PATCH /admin/api/ai/config: change active provider/model on the fly
- GET /admin/api/ai/config: read current runtime state
- ai_vision.py: uses runtime_ai_config before falling back to settings
- health/status endpoints reflect runtime overrides

Frontend:
- 'Définir comme actif' button in AI config section
- Live feedback message on save
2026-06-25 11:07:17 -04:00

289 lines
11 KiB
Python

"""
Imago — Application principale FastAPI
"""
import logging
from contextlib import asynccontextmanager
from fastapi import FastAPI, Request, APIRouter
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from slowapi import _rate_limit_exceeded_handler
from slowapi.errors import RateLimitExceeded
from app.config import settings
from app.database import init_db
from app.logging_config import configure_logging
from app.routers import images_router, ai_router, auth_router, files_router, ws_router, admin_router, admin_ai_router
from app.middleware import limiter
from app.middleware.logging_middleware import LoggingMiddleware
from app.middleware.versioning import APIVersioningMiddleware
from app.workers.redis_client import get_redis_pool, close_redis_pool, parse_redis_url
from app.workers.arq_fallback import _FallbackArqPool
# Configure le logging structuré dès l'import
configure_logging(debug=settings.DEBUG)
logger = logging.getLogger(__name__)
try:
from arq import create_pool
from arq.connections import RedisSettings
_arq_available = True
except ImportError:
_arq_available = False
try:
from prometheus_fastapi_instrumentator import Instrumentator
_prometheus_available = True
except ImportError:
_prometheus_available = False
def _arq_redis_settings() -> "RedisSettings":
"""Parse REDIS_URL en RedisSettings ARQ via le parser centralisé."""
host, port, password, database = parse_redis_url()
return RedisSettings(
host=host,
port=port,
password=password,
database=database,
)
# ─────────────────────────────────────────────────────────────
# Lifespan — initialisation au démarrage
# ─────────────────────────────────────────────────────────────
@asynccontextmanager
async def lifespan(app: FastAPI):
settings.upload_path
settings.thumbnails_path
await init_db()
active_model = settings.OPENROUTER_MODEL if settings.AI_PROVIDER == "openrouter" else settings.GEMINI_MODEL
logger.info("startup.db_initialized", extra={"upload_dir": settings.UPLOAD_DIR})
logger.info("startup.ai_config", extra={
"provider": settings.AI_PROVIDER,
"model": active_model,
"ocr_enabled": settings.OCR_ENABLED,
})
try:
app.state.redis = await get_redis_pool()
logger.info("startup.redis_connected", extra={"url": settings.REDIS_URL})
except Exception as e:
app.state.redis = None
logger.warning("startup.redis_unavailable", extra={"error": str(e)})
if _arq_available:
try:
app.state.arq_pool = await create_pool(_arq_redis_settings())
logger.info("startup.arq_pool_created")
except Exception as e:
app.state.arq_pool = _FallbackArqPool()
logger.warning("startup.arq_fallback", extra={"error": str(e)})
else:
app.state.arq_pool = _FallbackArqPool()
logger.warning("startup.arq_not_installed")
yield
if hasattr(app.state, "arq_pool") and hasattr(app.state.arq_pool, "close"):
await app.state.arq_pool.close()
await close_redis_pool()
logger.info("shutdown.complete")
# ─────────────────────────────────────────────────────────────
# Application
# ─────────────────────────────────────────────────────────────
app = FastAPI(
title=f"{settings.APP_NAME} API",
version=settings.APP_VERSION,
description="""
## Imago API (v1)
Backend de gestion d'images et fonctionnalités AI pour l'interface Shaarli.
> **Note de versionnement :** L'API principale est désormais servie sous le préfixe `/api/v1/`.
### Fonctionnalités
- Upload et stockage d'images avec génération de thumbnails
- Extraction EXIF automatique (appareil, GPS, paramètres de prise de vue)
- OCR — extraction de texte depuis les images (Tesseract)
- Vision AI — description et classification par tags
- Résumé d'URL — scraping + résumé AI de pages web
- Rédaction de tâches — génération structurée via AI
- File de tâches ARQ — pipeline persistant avec retry automatique
- Métriques Prometheus — /metrics endpoint
""",
lifespan=lifespan,
docs_url="/docs",
redoc_url="/redoc",
)
# ── Middleware CORS ─────────────────────────────────────────
app.add_middleware(
CORSMiddleware,
allow_origins=settings.CORS_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# ── Request ID (trace_id) ───────────────────────────────────
from app.middleware.request_id import RequestIDMiddleware
app.add_middleware(RequestIDMiddleware)
# ── API Versioning ──────────────────────────────────────────
app.add_middleware(APIVersioningMiddleware)
# ── Logging HTTP ────────────────────────────────────────────
app.add_middleware(LoggingMiddleware)
# ── Rate Limiting ───────────────────────────────────────────
app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
# ── Prometheus Metrics ──────────────────────────────────────
if _prometheus_available:
Instrumentator(
should_group_status_codes=True,
should_ignore_untemplated=True,
excluded_handlers=["/health", "/health/detailed", "/metrics"],
).instrument(app).expose(app, endpoint="/metrics", tags=["Observabilité"])
# ── Fichiers statiques ──────────────────────────────────────
if settings.STORAGE_BACKEND == "local":
app.include_router(files_router)
app.mount("/static/uploads", StaticFiles(directory=str(settings.upload_path)), name="uploads")
app.mount("/static/thumbnails", StaticFiles(directory=str(settings.thumbnails_path)), name="thumbnails")
# ── Routers versionnés (/api/v1/) ───────────────────────────
api_v1_router = APIRouter(prefix="/api/v1")
api_v1_router.include_router(images_router)
api_v1_router.include_router(ai_router)
api_v1_router.include_router(auth_router)
app.include_router(api_v1_router)
# ── Routers non-versionnés ──────────────────────────────────
app.include_router(ws_router)
app.include_router(admin_router)
app.include_router(admin_ai_router)
# ── Routes utilitaires ──────────────────────────────────────
@app.get("/", tags=["Santé"])
async def root():
return {
"app": settings.APP_NAME,
"version": settings.APP_VERSION,
"status": "running",
"docs": "/docs",
}
@app.get("/health", tags=["Santé"])
async def health():
from app.services.runtime_config import runtime_ai_config
active_provider = runtime_ai_config.provider or settings.AI_PROVIDER
active_model = runtime_ai_config.model or (
settings.OPENROUTER_MODEL if active_provider == "openrouter"
else settings.GEMINI_MODEL
)
ai_configured = (
(active_provider == "gemini" and bool(settings.GEMINI_API_KEY)) or
(active_provider == "openrouter" and bool(settings.OPENROUTER_API_KEY))
)
return {
"status": "healthy",
"ai_enabled": settings.AI_ENABLED,
"ai_provider": active_provider,
"ai_configured": ai_configured,
"ocr_enabled": settings.OCR_ENABLED,
"model": active_model,
}
@app.get("/health/detailed", tags=["Santé"])
async def health_detailed(request: Request):
"""Endpoint de santé détaillé pour monitoring avancé."""
checks = {}
checks["backend"] = {
"status": "ok",
"version": settings.APP_VERSION,
"uptime": "N/A",
}
try:
from app.database import AsyncSessionLocal
from sqlalchemy import text
async with AsyncSessionLocal() as session:
await session.execute(text("SELECT 1"))
checks["database"] = {"status": "ok"}
except Exception as e:
checks["database"] = {"status": "error", "error": str(e)}
redis = getattr(request.app.state, "redis", None)
if redis:
try:
await redis.ping()
checks["redis"] = {"status": "ok"}
except Exception as e:
checks["redis"] = {"status": "error", "error": str(e)}
else:
checks["redis"] = {"status": "not_configured"}
arq_pool = getattr(request.app.state, "arq_pool", None)
if arq_pool and not isinstance(arq_pool, _FallbackArqPool):
try:
queued_jobs = await arq_pool.zcard("arq:queue")
checks["queue"] = {"status": "ok", "pending_jobs": queued_jobs}
hc_key = "arq:queue:health-check"
worker_active = await redis.exists(hc_key) if redis else False
checks["worker"] = {
"status": "ok" if worker_active else "error",
"active_workers": 1 if worker_active else 0,
"detail": "Worker opérationnel" if worker_active else "Aucun worker détecté",
}
except Exception as e:
checks["queue"] = {"status": "error", "error": str(e)}
checks["worker"] = {"status": "error", "error": str(e)}
else:
checks["queue"] = {"status": "fallback"}
checks["worker"] = {"status": "error", "detail": "ARQ non disponible"}
from app.services.storage_backend import get_storage_backend, S3Storage
storage = get_storage_backend()
try:
if isinstance(storage, S3Storage):
await storage.exists(".health-check")
checks["minio"] = {"status": "ok", "backend": "s3", "bucket": settings.S3_BUCKET}
else:
checks["minio"] = {"status": "ok", "backend": "local", "path": settings.UPLOAD_DIR}
except Exception as e:
checks["minio"] = {"status": "error", "error": str(e)}
checks["tesseract"] = {"status": "ok" if settings.OCR_ENABLED else "disabled"}
ai_configured = (
(settings.AI_PROVIDER == "gemini" and bool(settings.GEMINI_API_KEY)) or
(settings.AI_PROVIDER == "openrouter" and bool(settings.OPENROUTER_API_KEY))
)
checks["ai"] = {
"status": "ok" if ai_configured else "warning",
"provider": settings.AI_PROVIDER,
"configured": ai_configured,
}
overall = "healthy" if all(
c.get("status") in ("ok", "enabled", "disabled", "not_configured", "fallback")
for k, c in checks.items() if k != "ai"
) else "degraded"
return {"status": overall, "checks": checks, "version": settings.APP_VERSION}