worlabel/ai/app/main.py

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from fastapi import FastAPI, Request
from fastapi.exception_handlers import http_exception_handler, request_validation_exception_handler
from fastapi.exceptions import RequestValidationError
from starlette.exceptions import HTTPException
from api.yolo.detection import router as yolo_detection_router
from api.yolo.segmentation import router as yolo_segmentation_router
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from api.yolo.classfication import router as yolo_classification_router
from api.yolo.model import router as yolo_model_router
from utils.slackMessage import send_slack_message
import time, torch, gc
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app = FastAPI()
# 각 기능별 라우터를 애플리케이션에 등록
app.include_router(yolo_detection_router, prefix="/api/detection", tags=["Detection"])
app.include_router(yolo_segmentation_router, prefix="/api/segmentation", tags=["Segmentation"])
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app.include_router(yolo_classification_router, prefix="/api/classification", tags=["Classification"])
app.include_router(yolo_model_router, prefix="/api/model", tags=["Model"])
@app.middleware("http")
async def resource_cleaner_middleware(request: Request, call_next):
start_time = time.time()
try:
response = await call_next(request)
except Exception as exc:
raise exc
finally:
process_time = time.time() - start_time
send_slack_message(f"처리 시간: {process_time}")
for obj in gc.get_objects():
if torch.is_tensor(obj):
del obj
gc.collect()
torch.cuda.empty_cache()
return response
# 예외 처리기
@app.exception_handler(HTTPException)
async def custom_http_exception_handler(request:Request, exc):
body = await request.json()
send_slack_message(f"프로젝트 ID: {body['project_id']} - 실패! 에러: {str(exc)}", status="error")
return await http_exception_handler(request, exc)
@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request:Request, exc):
send_slack_message(f"{request.url} - 요청 실패! 에러: {str(exc)}", status="error")
return await request_validation_exception_handler(request, exc)
# # 애플리케이션 실행
# if __name__ == "__main__":
# import uvicorn
# uvicorn.run("main:app", reload=True)