Merge branch 'main' into scraper-poc

app/core/exceptions.py

@@ -1,5 +1,16 @@
+import logging
+import traceback
+from functools import wraps
+from typing import Any, Callable, TypeVar
+
 from fastapi import FastAPI, HTTPException, Request, Response, status
 from fastapi.responses import JSONResponse
+from sqlalchemy.exc import SQLAlchemyError
+
+# 로거 설정
+logger = logging.getLogger(__name__)
+
+T = TypeVar("T")
 
 
 class FastShipError(Exception):
@@ -61,6 +72,194 @@ class DeliveryPartnerCapacityExceeded(FastShipError):
     status = status.HTTP_406_NOT_ACCEPTABLE
 
 
+# =============================================================================
+# 데이터베이스 관련 예외
+# =============================================================================
+
+
+class DatabaseError(FastShipError):
+    """Database operation failed"""
+
+    status = status.HTTP_503_SERVICE_UNAVAILABLE
+
+
+class DatabaseConnectionError(DatabaseError):
+    """Database connection failed"""
+
+    status = status.HTTP_503_SERVICE_UNAVAILABLE
+
+
+class DatabaseTimeoutError(DatabaseError):
+    """Database operation timed out"""
+
+    status = status.HTTP_504_GATEWAY_TIMEOUT
+
+
+# =============================================================================
+# 외부 서비스 관련 예외
+# =============================================================================
+
+
+class ExternalServiceError(FastShipError):
+    """External service call failed"""
+
+    status = status.HTTP_502_BAD_GATEWAY
+
+
+class GPTServiceError(ExternalServiceError):
+    """GPT API call failed"""
+
+    status = status.HTTP_502_BAD_GATEWAY
+
+
+class CrawlingError(ExternalServiceError):
+    """Web crawling failed"""
+
+    status = status.HTTP_502_BAD_GATEWAY
+
+
+class BlobStorageError(ExternalServiceError):
+    """Azure Blob Storage operation failed"""
+
+    status = status.HTTP_502_BAD_GATEWAY
+
+
+class CreatomateError(ExternalServiceError):
+    """Creatomate API call failed"""
+
+    status = status.HTTP_502_BAD_GATEWAY
+
+
+# =============================================================================
+# 예외 처리 데코레이터
+# =============================================================================
+
+
+def handle_db_exceptions(
+    error_message: str = "데이터베이스 작업 중 오류가 발생했습니다.",
+):
+    """데이터베이스 예외를 처리하는 데코레이터.
+
+    Args:
+        error_message: 오류 발생 시 반환할 메시지
+
+    Example:
+        @handle_db_exceptions("사용자 조회 중 오류 발생")
+        async def get_user(user_id: int):
+            ...
+    """
+
+    def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
+        @wraps(func)
+        async def wrapper(*args: Any, **kwargs: Any) -> Any:
+            try:
+                return await func(*args, **kwargs)
+            except HTTPException:
+                # HTTPException은 그대로 raise
+                raise
+            except SQLAlchemyError as e:
+                logger.error(f"[DB Error] {func.__name__}: {e}")
+                logger.error(traceback.format_exc())
+                print(f"[DB Error] {func.__name__}: {e}")
+                raise HTTPException(
+                    status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+                    detail=error_message,
+                )
+            except Exception as e:
+                logger.error(f"[Unexpected Error] {func.__name__}: {e}")
+                logger.error(traceback.format_exc())
+                print(f"[Unexpected Error] {func.__name__}: {e}")
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail="서비스 처리 중 예기치 않은 오류가 발생했습니다.",
+                )
+
+        return wrapper
+
+    return decorator
+
+
+def handle_external_service_exceptions(
+    service_name: str = "외부 서비스",
+    error_message: str | None = None,
+):
+    """외부 서비스 호출 예외를 처리하는 데코레이터.
+
+    Args:
+        service_name: 서비스 이름 (로그용)
+        error_message: 오류 발생 시 반환할 메시지
+
+    Example:
+        @handle_external_service_exceptions("GPT")
+        async def call_gpt():
+            ...
+    """
+
+    def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
+        @wraps(func)
+        async def wrapper(*args: Any, **kwargs: Any) -> Any:
+            try:
+                return await func(*args, **kwargs)
+            except HTTPException:
+                raise
+            except Exception as e:
+                msg = error_message or f"{service_name} 서비스 호출 중 오류가 발생했습니다."
+                logger.error(f"[{service_name} Error] {func.__name__}: {e}")
+                logger.error(traceback.format_exc())
+                print(f"[{service_name} Error] {func.__name__}: {e}")
+                raise HTTPException(
+                    status_code=status.HTTP_502_BAD_GATEWAY,
+                    detail=msg,
+                )
+
+        return wrapper
+
+    return decorator
+
+
+def handle_api_exceptions(
+    error_message: str = "요청 처리 중 오류가 발생했습니다.",
+):
+    """API 엔드포인트 예외를 처리하는 데코레이터.
+
+    Args:
+        error_message: 오류 발생 시 반환할 메시지
+
+    Example:
+        @handle_api_exceptions("가사 생성 중 오류 발생")
+        async def generate_lyric():
+            ...
+    """
+
+    def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
+        @wraps(func)
+        async def wrapper(*args: Any, **kwargs: Any) -> Any:
+            try:
+                return await func(*args, **kwargs)
+            except HTTPException:
+                raise
+            except SQLAlchemyError as e:
+                logger.error(f"[API DB Error] {func.__name__}: {e}")
+                logger.error(traceback.format_exc())
+                print(f"[API DB Error] {func.__name__}: {e}")
+                raise HTTPException(
+                    status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+                    detail="데이터베이스 연결에 문제가 발생했습니다.",
+                )
+            except Exception as e:
+                logger.error(f"[API Error] {func.__name__}: {e}")
+                logger.error(traceback.format_exc())
+                print(f"[API Error] {func.__name__}: {e}")
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=error_message,
+                )
+
+        return wrapper
+
+    return decorator
+
+
 def _get_handler(status: int, detail: str):
     # Define
     def handler(request: Request, exception: Exception) -> Response:

app/home/api/routers/v1/home.py

@@ -1,4 +1,6 @@
 import json
+import logging
+import traceback
 from datetime import date
 from pathlib import Path
 from typing import Optional
@@ -6,6 +8,7 @@ from urllib.parse import unquote, urlparse
 
 import aiofiles
 from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status
+from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.database.session import get_session, AsyncSessionLocal
@@ -23,7 +26,10 @@ from app.home.schemas.home_schema import (
 from app.utils.upload_blob_as_request import AzureBlobUploader
 from app.utils.chatgpt_prompt import ChatgptService
 from app.utils.common import generate_task_id
-from app.utils.nvMapScraper import NvMapScraper
+from app.utils.nvMapScraper import NvMapScraper, GraphQLException
+
+# 로거 설정
+logger = logging.getLogger(__name__)
 
 MEDIA_ROOT = Path("media")
 
@@ -91,15 +97,56 @@ def _extract_region_from_address(road_address: str | None) -> str:
             "description": "잘못된 URL",
             "model": ErrorResponse,
         },
+        502: {
+            "description": "크롤링 실패",
+            "model": ErrorResponse,
+        },
     },
     tags=["crawling"],
 )
 async def crawling(request_body: CrawlingRequest):
     """네이버 지도 장소 크롤링"""
+    import time
+
+    request_start = time.perf_counter()
+    logger.info(f"[crawling] START - url: {request_body.url[:80]}...")
+    print(f"[crawling] ========== START ==========")
+    print(f"[crawling] URL: {request_body.url[:80]}...")
+
+    # ========== Step 1: 네이버 지도 크롤링 ==========
+    step1_start = time.perf_counter()
+    print(f"[crawling] Step 1: 네이버 지도 크롤링 시작...")
+
+    try:
         scraper = NvMapScraper(request_body.url)
         await scraper.scrap()
+    except GraphQLException as e:
+        step1_elapsed = (time.perf_counter() - step1_start) * 1000
+        logger.error(f"[crawling] Step 1 FAILED - GraphQL 크롤링 실패: {e} ({step1_elapsed:.1f}ms)")
+        print(f"[crawling] Step 1 FAILED - {e} ({step1_elapsed:.1f}ms)")
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail=f"네이버 지도 크롤링에 실패했습니다: {e}",
+        )
+    except Exception as e:
+        step1_elapsed = (time.perf_counter() - step1_start) * 1000
+        logger.error(f"[crawling] Step 1 FAILED - 크롤링 중 예기치 않은 오류: {e} ({step1_elapsed:.1f}ms)")
+        print(f"[crawling] Step 1 FAILED - {e} ({step1_elapsed:.1f}ms)")
+        traceback.print_exc()
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail="네이버 지도 크롤링 중 오류가 발생했습니다.",
+        )
+
+    step1_elapsed = (time.perf_counter() - step1_start) * 1000
+    image_count = len(scraper.image_link_list) if scraper.image_link_list else 0
+    logger.info(f"[crawling] Step 1 완료 - 이미지 {image_count}개 ({step1_elapsed:.1f}ms)")
+    print(f"[crawling] Step 1 완료 - 이미지 {image_count}개 ({step1_elapsed:.1f}ms)")
+
+    # ========== Step 2: 정보 가공 ==========
+    step2_start = time.perf_counter()
+    print(f"[crawling] Step 2: 정보 가공 시작...")
 
-    # 가공된 정보 생성
     processed_info = None
     marketing_analysis = None
 
@@ -114,16 +161,76 @@ async def crawling(request_body: CrawlingRequest):
             detail_region_info=road_address or "",
         )
 
-        # ChatGPT를 이용한 마케팅 분석
+        step2_elapsed = (time.perf_counter() - step2_start) * 1000
+        logger.info(f"[crawling] Step 2 완료 - {customer_name}, {region} ({step2_elapsed:.1f}ms)")
+        print(f"[crawling] Step 2 완료 - {customer_name}, {region} ({step2_elapsed:.1f}ms)")
+
+        # ========== Step 3: ChatGPT 마케팅 분석 ==========
+        step3_start = time.perf_counter()
+        print(f"[crawling] Step 3: ChatGPT 마케팅 분석 시작...")
+
+        try:
+            # Step 3-1: ChatGPT 서비스 초기화
+            step3_1_start = time.perf_counter()
             chatgpt_service = ChatgptService(
                 customer_name=customer_name,
                 region=region,
                 detail_region_info=road_address or "",
             )
+            step3_1_elapsed = (time.perf_counter() - step3_1_start) * 1000
+            print(f"[crawling]   Step 3-1: 서비스 초기화 완료 ({step3_1_elapsed:.1f}ms)")
+
+            # Step 3-2: 프롬프트 생성
+            step3_2_start = time.perf_counter()
             prompt = chatgpt_service.build_market_analysis_prompt()
+            step3_2_elapsed = (time.perf_counter() - step3_2_start) * 1000
+            print(f"[crawling]   Step 3-2: 프롬프트 생성 완료 - {len(prompt)}자 ({step3_2_elapsed:.1f}ms)")
+
+            # Step 3-3: GPT API 호출
+            step3_3_start = time.perf_counter()
             raw_response = await chatgpt_service.generate(prompt)
-        parsed = await chatgpt_service.parse_marketing_analysis(raw_response)
+            step3_3_elapsed = (time.perf_counter() - step3_3_start) * 1000
+            logger.info(f"[crawling]   Step 3-3: GPT API 호출 완료 - 응답 {len(raw_response)}자 ({step3_3_elapsed:.1f}ms)")
+            print(f"[crawling]   Step 3-3: GPT API 호출 완료 - 응답 {len(raw_response)}자 ({step3_3_elapsed:.1f}ms)")
+
+            # Step 3-4: 응답 파싱 (크롤링에서 가져온 facility_info 전달)
+            step3_4_start = time.perf_counter()
+            print(f"[crawling]   Step 3-4: 응답 파싱 시작 - facility_info: {scraper.facility_info}")
+            parsed = await chatgpt_service.parse_marketing_analysis(
+                raw_response, facility_info=scraper.facility_info
+            )
             marketing_analysis = MarketingAnalysis(**parsed)
+            step3_4_elapsed = (time.perf_counter() - step3_4_start) * 1000
+            print(f"[crawling]   Step 3-4: 응답 파싱 완료 ({step3_4_elapsed:.1f}ms)")
+
+            step3_elapsed = (time.perf_counter() - step3_start) * 1000
+            logger.info(f"[crawling] Step 3 완료 - 마케팅 분석 성공 ({step3_elapsed:.1f}ms)")
+            print(f"[crawling] Step 3 완료 - 마케팅 분석 성공 ({step3_elapsed:.1f}ms)")
+
+        except Exception as e:
+            step3_elapsed = (time.perf_counter() - step3_start) * 1000
+            logger.error(f"[crawling] Step 3 FAILED - GPT 마케팅 분석 중 오류: {e} ({step3_elapsed:.1f}ms)")
+            print(f"[crawling] Step 3 FAILED - {e} ({step3_elapsed:.1f}ms)")
+            traceback.print_exc()
+            # GPT 실패 시에도 크롤링 결과는 반환
+            marketing_analysis = None
+    else:
+        step2_elapsed = (time.perf_counter() - step2_start) * 1000
+        logger.warning(f"[crawling] Step 2 - base_info 없음 ({step2_elapsed:.1f}ms)")
+        print(f"[crawling] Step 2 - base_info 없음, 마케팅 분석 스킵 ({step2_elapsed:.1f}ms)")
+
+    # ========== 완료 ==========
+    total_elapsed = (time.perf_counter() - request_start) * 1000
+    logger.info(f"[crawling] COMPLETE - 총 소요시간: {total_elapsed:.1f}ms")
+    print(f"[crawling] ========== COMPLETE ==========")
+    print(f"[crawling] 총 소요시간: {total_elapsed:.1f}ms")
+    print(f"[crawling]   - Step 1 (크롤링): {step1_elapsed:.1f}ms")
+    if scraper.base_info:
+        print(f"[crawling]   - Step 2 (정보가공): {step2_elapsed:.1f}ms")
+        if 'step3_elapsed' in locals():
+            print(f"[crawling]   - Step 3 (GPT 분석): {step3_elapsed:.1f}ms")
+            if 'step3_3_elapsed' in locals():
+                print(f"[crawling]       - GPT API 호출: {step3_3_elapsed:.1f}ms")
 
     return {
         "image_list": scraper.image_link_list,
@@ -274,7 +381,7 @@ async def upload_images(
     images_json: Optional[str] = Form(
         default=None,
         description="외부 이미지 URL 목록 (JSON 문자열)",
-        example=IMAGES_JSON_EXAMPLE,
+        examples=[IMAGES_JSON_EXAMPLE],
     ),
     files: Optional[list[UploadFile]] = File(
         default=None, description="이미지 바이너리 파일 목록"
@@ -492,7 +599,7 @@ async def upload_images_blob(
     images_json: Optional[str] = Form(
         default=None,
         description="외부 이미지 URL 목록 (JSON 문자열)",
-        example=IMAGES_JSON_EXAMPLE,
+        examples=[IMAGES_JSON_EXAMPLE],
     ),
     files: Optional[list[UploadFile]] = File(
         default=None, description="이미지 바이너리 파일 목록"
@@ -666,10 +773,21 @@ async def upload_images_blob(
                   f"saved: {len(result_images)}, "
                   f"elapsed: {(stage3_time - stage2_time)*1000:.1f}ms")
 
+    except SQLAlchemyError as e:
+        logger.error(f"[upload_images_blob] DB Error - task_id: {task_id}, error: {e}")
+        traceback.print_exc()
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="이미지 저장 중 데이터베이스 오류가 발생했습니다.",
+        )
     except Exception as e:
-        print(f"[upload_images_blob] Stage 3 EXCEPTION - "
+        logger.error(f"[upload_images_blob] Stage 3 EXCEPTION - "
               f"task_id: {task_id}, error: {type(e).__name__}: {e}")
-        raise
+        traceback.print_exc()
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="이미지 업로드 중 오류가 발생했습니다.",
+        )
 
     saved_count = len(result_images)
     image_urls = [img.img_url for img in result_images]

app/lyric/api/routers/v1/lyric.py

@@ -220,15 +220,23 @@ async def generate_lyric(
     session: AsyncSession = Depends(get_session),
 ) -> GenerateLyricResponse:
     """고객 정보를 기반으로 가사를 생성합니다. (백그라운드 처리)"""
+    import time
+
+    request_start = time.perf_counter()
     task_id = request_body.task_id
+
+    print(f"[generate_lyric] ========== START ==========")
     print(
-        f"[generate_lyric] START - task_id: {task_id}, "
+        f"[generate_lyric] task_id: {task_id}, "
         f"customer_name: {request_body.customer_name}, "
         f"region: {request_body.region}"
     )
 
     try:
-        # 1. ChatGPT 서비스 초기화 및 프롬프트 생성
+        # ========== Step 1: ChatGPT 서비스 초기화 및 프롬프트 생성 ==========
+        step1_start = time.perf_counter()
+        print(f"[generate_lyric] Step 1: 서비스 초기화 및 프롬프트 생성...")
+
         service = ChatgptService(
             customer_name=request_body.customer_name,
             region=request_body.region,
@@ -237,7 +245,13 @@ async def generate_lyric(
         )
         prompt = service.build_lyrics_prompt()
 
-        # 2. Project 테이블에 데이터 저장
+        step1_elapsed = (time.perf_counter() - step1_start) * 1000
+        print(f"[generate_lyric] Step 1 완료 - 프롬프트 {len(prompt)}자 ({step1_elapsed:.1f}ms)")
+
+        # ========== Step 2: Project 테이블에 데이터 저장 ==========
+        step2_start = time.perf_counter()
+        print(f"[generate_lyric] Step 2: Project 저장...")
+
         project = Project(
             store_name=request_body.customer_name,
             region=request_body.region,
@@ -248,12 +262,14 @@ async def generate_lyric(
         session.add(project)
         await session.commit()
         await session.refresh(project)
-        print(
-            f"[generate_lyric] Project saved - "
-            f"project_id: {project.id}, task_id: {task_id}"
-        )
 
-        # 3. Lyric 테이블에 데이터 저장 (status: processing)
+        step2_elapsed = (time.perf_counter() - step2_start) * 1000
+        print(f"[generate_lyric] Step 2 완료 - project_id: {project.id} ({step2_elapsed:.1f}ms)")
+
+        # ========== Step 3: Lyric 테이블에 데이터 저장 ==========
+        step3_start = time.perf_counter()
+        print(f"[generate_lyric] Step 3: Lyric 저장 (processing)...")
+
         lyric = Lyric(
             project_id=project.id,
             task_id=task_id,
@@ -265,19 +281,33 @@ async def generate_lyric(
         session.add(lyric)
         await session.commit()
         await session.refresh(lyric)
-        print(
-            f"[generate_lyric] Lyric saved (processing) - "
-            f"lyric_id: {lyric.id}, task_id: {task_id}"
-        )
 
-        # 4. 백그라운드 태스크로 ChatGPT 가사 생성 실행
+        step3_elapsed = (time.perf_counter() - step3_start) * 1000
+        print(f"[generate_lyric] Step 3 완료 - lyric_id: {lyric.id} ({step3_elapsed:.1f}ms)")
+
+        # ========== Step 4: 백그라운드 태스크 스케줄링 ==========
+        step4_start = time.perf_counter()
+        print(f"[generate_lyric] Step 4: 백그라운드 태스크 스케줄링...")
+
         background_tasks.add_task(
             generate_lyric_background,
             task_id=task_id,
             prompt=prompt,
             language=request_body.language,
         )
-        print(f"[generate_lyric] Background task scheduled - task_id: {task_id}")
+
+        step4_elapsed = (time.perf_counter() - step4_start) * 1000
+        print(f"[generate_lyric] Step 4 완료 ({step4_elapsed:.1f}ms)")
+
+        # ========== 완료 ==========
+        total_elapsed = (time.perf_counter() - request_start) * 1000
+        print(f"[generate_lyric] ========== COMPLETE ==========")
+        print(f"[generate_lyric] API 응답 소요시간: {total_elapsed:.1f}ms")
+        print(f"[generate_lyric]   - Step 1 (프롬프트 생성): {step1_elapsed:.1f}ms")
+        print(f"[generate_lyric]   - Step 2 (Project 저장): {step2_elapsed:.1f}ms")
+        print(f"[generate_lyric]   - Step 3 (Lyric 저장): {step3_elapsed:.1f}ms")
+        print(f"[generate_lyric]   - Step 4 (태스크 스케줄링): {step4_elapsed:.1f}ms")
+        print(f"[generate_lyric] (GPT API 호출은 백그라운드에서 별도 진행)")
 
         # 5. 즉시 응답 반환
         return GenerateLyricResponse(
@@ -289,7 +319,8 @@ async def generate_lyric(
         )
 
     except Exception as e:
-        print(f"[generate_lyric] EXCEPTION - task_id: {task_id}, error: {e}")
+        elapsed = (time.perf_counter() - request_start) * 1000
+        print(f"[generate_lyric] EXCEPTION - task_id: {task_id}, error: {e} ({elapsed:.1f}ms)")
         await session.rollback()
         return GenerateLyricResponse(
             success=False,

app/lyric/schemas/lyrics_schema.py

@@ -52,7 +52,7 @@ class SongFormData:
     attributes: Dict[str, str] = field(default_factory=dict)
     attributes_str: str = ""
     lyrics_ids: List[int] = field(default_factory=list)
-    llm_model: str = "gpt-4o"
+    llm_model: str = "gpt-5-mini"
 
     @classmethod
     async def from_form(cls, request: Request):
@@ -86,6 +86,6 @@ class SongFormData:
             attributes=attributes,
             attributes_str=attributes_str,
             lyrics_ids=lyrics_ids,
-            llm_model=form_data.get("llm_model", "gpt-4o"),
+            llm_model=form_data.get("llm_model", "gpt-5-mini"),
             prompts=form_data.get("prompts", ""),
         )

app/lyric/services/lyrics.py

@@ -783,7 +783,7 @@ async def make_automation(request: Request, conn: Connection):
             else "",
             "attr_value": ", ".join(selected_values) if selected_values else "",
             "ai": "ChatGPT",
-            "ai_model": "gpt-4o",
+            "ai_model": "gpt-5-mini",
             "genre": "후크송",
             "sample_song": combined_sample_song or "없음",
             "result_song": final_lyrics,

app/lyric/worker/lyric_task.py

@@ -4,12 +4,67 @@ Lyric Background Tasks
 가사 생성 관련 백그라운드 태스크를 정의합니다.
 """
 
+import logging
+import traceback
+
 from sqlalchemy import select
+from sqlalchemy.exc import SQLAlchemyError
 
 from app.database.session import BackgroundSessionLocal
 from app.lyric.models import Lyric
 from app.utils.chatgpt_prompt import ChatgptService
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
+
+async def _update_lyric_status(
+    task_id: str,
+    status: str,
+    result: str | None = None,
+) -> bool:
+    """Lyric 테이블의 상태를 업데이트합니다.
+
+    Args:
+        task_id: 프로젝트 task_id
+        status: 변경할 상태 ("processing", "completed", "failed")
+        result: 가사 결과 또는 에러 메시지
+
+    Returns:
+        bool: 업데이트 성공 여부
+    """
+    try:
+        async with BackgroundSessionLocal() as session:
+            query_result = await session.execute(
+                select(Lyric)
+                .where(Lyric.task_id == task_id)
+                .order_by(Lyric.created_at.desc())
+                .limit(1)
+            )
+            lyric = query_result.scalar_one_or_none()
+
+            if lyric:
+                lyric.status = status
+                if result is not None:
+                    lyric.lyric_result = result
+                await session.commit()
+                logger.info(f"[Lyric] Status updated - task_id: {task_id}, status: {status}")
+                print(f"[Lyric] Status updated - task_id: {task_id}, status: {status}")
+                return True
+            else:
+                logger.warning(f"[Lyric] NOT FOUND in DB - task_id: {task_id}")
+                print(f"[Lyric] NOT FOUND in DB - task_id: {task_id}")
+                return False
+
+    except SQLAlchemyError as e:
+        logger.error(f"[Lyric] DB Error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Lyric] DB Error while updating status - task_id: {task_id}, error: {e}")
+        return False
+    except Exception as e:
+        logger.error(f"[Lyric] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Lyric] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        return False
+
 
 async def generate_lyric_background(
     task_id: str,
@@ -23,10 +78,20 @@ async def generate_lyric_background(
         prompt: ChatGPT에 전달할 프롬프트
         language: 가사 언어
     """
-    print(f"[generate_lyric_background] START - task_id: {task_id}")
+    import time
+
+    task_start = time.perf_counter()
+    logger.info(f"[generate_lyric_background] START - task_id: {task_id}")
+    print(f"[generate_lyric_background] ========== START ==========")
+    print(f"[generate_lyric_background] task_id: {task_id}")
+    print(f"[generate_lyric_background] language: {language}")
+    print(f"[generate_lyric_background] prompt length: {len(prompt)}자")
 
     try:
-        # ChatGPT 서비스 초기화 (프롬프트는 이미 생성되어 있음)
+        # ========== Step 1: ChatGPT 서비스 초기화 ==========
+        step1_start = time.perf_counter()
+        print(f"[generate_lyric_background] Step 1: ChatGPT 서비스 초기화...")
+
         service = ChatgptService(
             customer_name="",  # 프롬프트가 이미 생성되었으므로 빈 값
             region="",
@@ -34,65 +99,48 @@ async def generate_lyric_background(
             language=language,
         )
 
-        # ChatGPT를 통해 가사 생성
+        step1_elapsed = (time.perf_counter() - step1_start) * 1000
-        print(f"[generate_lyric_background] ChatGPT generation started - task_id: {task_id}")
+        print(f"[generate_lyric_background] Step 1 완료 ({step1_elapsed:.1f}ms)")
+
+        # ========== Step 2: ChatGPT API 호출 (가사 생성) ==========
+        step2_start = time.perf_counter()
+        logger.info(f"[generate_lyric_background] Step 2: ChatGPT API 호출 시작 - task_id: {task_id}")
+        print(f"[generate_lyric_background] Step 2: ChatGPT API 호출 시작...")
+
         result = await service.generate(prompt=prompt)
-        print(f"[generate_lyric_background] ChatGPT generation completed - task_id: {task_id}")
 
-        # 실패 응답 검사 (ERROR 또는 ChatGPT 거부 응답)
+        step2_elapsed = (time.perf_counter() - step2_start) * 1000
-        failure_patterns = [
+        logger.info(f"[generate_lyric_background] Step 2 완료 - 응답 {len(result)}자 ({step2_elapsed:.1f}ms)")
-            "ERROR:",
+        print(f"[generate_lyric_background] Step 2 완료 - 응답 {len(result)}자 ({step2_elapsed:.1f}ms)")
-            "I'm sorry",
-            "I cannot",
-            "I can't",
-            "I apologize",
-            "I'm unable",
-            "I am unable",
-            "I'm not able",
-            "I am not able",
-        ]
-        is_failure = any(
-            pattern.lower() in result.lower() for pattern in failure_patterns
-        )
 
-        # Lyric 테이블 업데이트 (백그라운드 전용 세션 사용)
+        # ========== Step 3: DB 상태 업데이트 ==========
-        async with BackgroundSessionLocal() as session:
+        step3_start = time.perf_counter()
-            query_result = await session.execute(
+        print(f"[generate_lyric_background] Step 3: DB 상태 업데이트...")
-                select(Lyric)
-                .where(Lyric.task_id == task_id)
-                .order_by(Lyric.created_at.desc())
-                .limit(1)
-            )
-            lyric = query_result.scalar_one_or_none()
 
-            if lyric:
+        await _update_lyric_status(task_id, "completed", result)
-                if is_failure:
-                    print(f"[generate_lyric_background] FAILED - task_id: {task_id}, error: {result}")
-                    lyric.status = "failed"
-                    lyric.lyric_result = result
-                else:
-                    print(f"[generate_lyric_background] SUCCESS - task_id: {task_id}")
-                    lyric.status = "completed"
-                    lyric.lyric_result = result
 
-                await session.commit()
+        step3_elapsed = (time.perf_counter() - step3_start) * 1000
-            else:
+        print(f"[generate_lyric_background] Step 3 완료 ({step3_elapsed:.1f}ms)")
-                print(f"[generate_lyric_background] Lyric NOT FOUND in DB - task_id: {task_id}")
+
+        # ========== 완료 ==========
+        total_elapsed = (time.perf_counter() - task_start) * 1000
+        logger.info(f"[generate_lyric_background] SUCCESS - task_id: {task_id}, 총 소요시간: {total_elapsed:.1f}ms")
+        print(f"[generate_lyric_background] ========== SUCCESS ==========")
+        print(f"[generate_lyric_background] 총 소요시간: {total_elapsed:.1f}ms")
+        print(f"[generate_lyric_background]   - Step 1 (서비스 초기화): {step1_elapsed:.1f}ms")
+        print(f"[generate_lyric_background]   - Step 2 (GPT API 호출): {step2_elapsed:.1f}ms")
+        print(f"[generate_lyric_background]   - Step 3 (DB 업데이트): {step3_elapsed:.1f}ms")
+
+    except SQLAlchemyError as e:
+        elapsed = (time.perf_counter() - task_start) * 1000
+        logger.error(f"[generate_lyric_background] DB ERROR - task_id: {task_id}, error: {e} ({elapsed:.1f}ms)")
+        print(f"[generate_lyric_background] DB ERROR - {e} ({elapsed:.1f}ms)")
+        traceback.print_exc()
+        await _update_lyric_status(task_id, "failed", f"Database Error: {str(e)}")
 
     except Exception as e:
-        print(f"[generate_lyric_background] EXCEPTION - task_id: {task_id}, error: {e}")
+        elapsed = (time.perf_counter() - task_start) * 1000
-        # 실패 시 Lyric 테이블 업데이트
+        logger.error(f"[generate_lyric_background] EXCEPTION - task_id: {task_id}, error: {e} ({elapsed:.1f}ms)")
-        async with BackgroundSessionLocal() as session:
+        print(f"[generate_lyric_background] EXCEPTION - {e} ({elapsed:.1f}ms)")
-            query_result = await session.execute(
+        traceback.print_exc()
-                select(Lyric)
+        await _update_lyric_status(task_id, "failed", f"Error: {str(e)}")
-                .where(Lyric.task_id == task_id)
-                .order_by(Lyric.created_at.desc())
-                .limit(1)
-            )
-            lyric = query_result.scalar_one_or_none()
-
-            if lyric:
-                lyric.status = "failed"
-                lyric.lyric_result = f"Error: {str(e)}"
-                await session.commit()
-                print(f"[generate_lyric_background] FAILED - task_id: {task_id}, status updated to failed")

app/song/schemas/song_schema.py

@@ -335,7 +335,7 @@ class SongFormData:
     attributes: Dict[str, str] = field(default_factory=dict)
     attributes_str: str = ""
     lyrics_ids: List[int] = field(default_factory=list)
-    llm_model: str = "gpt-4o"
+    llm_model: str = "gpt-5-mini"
 
     @classmethod
     async def from_form(cls, request: Request):
@@ -369,6 +369,6 @@ class SongFormData:
             attributes=attributes,
             attributes_str=attributes_str,
             lyrics_ids=lyrics_ids,
-            llm_model=form_data.get("llm_model", "gpt-4o"),
+            llm_model=form_data.get("llm_model", "gpt-5-mini"),
             prompts=form_data.get("prompts", ""),
         )

app/song/services/song.py

@@ -783,7 +783,7 @@ async def make_automation(request: Request, conn: Connection):
             else "",
             "attr_value": ", ".join(selected_values) if selected_values else "",
             "ai": "ChatGPT",
-            "ai_model": "gpt-4o",
+            "ai_model": "gpt-5-mini",
             "genre": "후크송",
             "sample_song": combined_sample_song or "없음",
             "result_song": final_lyrics,

app/song/worker/song_task.py

@@ -4,12 +4,15 @@ Song Background Tasks
 노래 생성 관련 백그라운드 태스크를 정의합니다.
 """
 
+import logging
+import traceback
 from datetime import date
 from pathlib import Path
 
 import aiofiles
 import httpx
 from sqlalchemy import select
+from sqlalchemy.exc import SQLAlchemyError
 
 from app.database.session import BackgroundSessionLocal
 from app.song.models import Song
@@ -17,6 +20,100 @@ from app.utils.common import generate_task_id
 from app.utils.upload_blob_as_request import AzureBlobUploader
 from config import prj_settings
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
+# HTTP 요청 설정
+REQUEST_TIMEOUT = 120.0  # 초
+
+
+async def _update_song_status(
+    task_id: str,
+    status: str,
+    song_url: str | None = None,
+    suno_task_id: str | None = None,
+    duration: float | None = None,
+) -> bool:
+    """Song 테이블의 상태를 업데이트합니다.
+
+    Args:
+        task_id: 프로젝트 task_id
+        status: 변경할 상태 ("processing", "completed", "failed")
+        song_url: 노래 URL
+        suno_task_id: Suno task ID (선택)
+        duration: 노래 길이 (선택)
+
+    Returns:
+        bool: 업데이트 성공 여부
+    """
+    try:
+        async with BackgroundSessionLocal() as session:
+            if suno_task_id:
+                query_result = await session.execute(
+                    select(Song)
+                    .where(Song.suno_task_id == suno_task_id)
+                    .order_by(Song.created_at.desc())
+                    .limit(1)
+                )
+            else:
+                query_result = await session.execute(
+                    select(Song)
+                    .where(Song.task_id == task_id)
+                    .order_by(Song.created_at.desc())
+                    .limit(1)
+                )
+
+            song = query_result.scalar_one_or_none()
+
+            if song:
+                song.status = status
+                if song_url is not None:
+                    song.song_result_url = song_url
+                if duration is not None:
+                    song.duration = duration
+                await session.commit()
+                logger.info(f"[Song] Status updated - task_id: {task_id}, status: {status}")
+                print(f"[Song] Status updated - task_id: {task_id}, status: {status}")
+                return True
+            else:
+                logger.warning(f"[Song] NOT FOUND in DB - task_id: {task_id}")
+                print(f"[Song] NOT FOUND in DB - task_id: {task_id}")
+                return False
+
+    except SQLAlchemyError as e:
+        logger.error(f"[Song] DB Error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Song] DB Error while updating status - task_id: {task_id}, error: {e}")
+        return False
+    except Exception as e:
+        logger.error(f"[Song] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Song] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        return False
+
+
+async def _download_audio(url: str, task_id: str) -> bytes:
+    """URL에서 오디오 파일을 다운로드합니다.
+
+    Args:
+        url: 다운로드할 URL
+        task_id: 로그용 task_id
+
+    Returns:
+        bytes: 다운로드한 파일 내용
+
+    Raises:
+        httpx.HTTPError: 다운로드 실패 시
+    """
+    logger.info(f"[Download] Downloading - task_id: {task_id}")
+    print(f"[Download] Downloading - task_id: {task_id}")
+
+    async with httpx.AsyncClient() as client:
+        response = await client.get(url, timeout=REQUEST_TIMEOUT)
+        response.raise_for_status()
+
+        logger.info(f"[Download] SUCCESS - task_id: {task_id}, size: {len(response.content)} bytes")
+        print(f"[Download] SUCCESS - task_id: {task_id}, size: {len(response.content)} bytes")
+        return response.content
+
 
 async def download_and_save_song(
     task_id: str,
@@ -30,7 +127,9 @@ async def download_and_save_song(
         audio_url: 다운로드할 오디오 URL
         store_name: 저장할 파일명에 사용할 업체명
     """
+    logger.info(f"[download_and_save_song] START - task_id: {task_id}, store_name: {store_name}")
     print(f"[download_and_save_song] START - task_id: {task_id}, store_name: {store_name}")
+
     try:
         # 저장 경로 생성: media/song/{날짜}/{uuid7}/{store_name}.mp3
         today = date.today().strftime("%Y-%m-%d")
@@ -46,60 +145,50 @@ async def download_and_save_song(
         media_dir = Path("media") / "song" / today / unique_id
         media_dir.mkdir(parents=True, exist_ok=True)
         file_path = media_dir / file_name
+        logger.info(f"[download_and_save_song] Directory created - path: {file_path}")
         print(f"[download_and_save_song] Directory created - path: {file_path}")
 
         # 오디오 파일 다운로드
+        logger.info(f"[download_and_save_song] Downloading audio - task_id: {task_id}, url: {audio_url}")
         print(f"[download_and_save_song] Downloading audio - task_id: {task_id}, url: {audio_url}")
-        async with httpx.AsyncClient() as client:
+
-            response = await client.get(audio_url, timeout=60.0)
+        content = await _download_audio(audio_url, task_id)
-            response.raise_for_status()
 
         async with aiofiles.open(str(file_path), "wb") as f:
-                await f.write(response.content)
+            await f.write(content)
+
+        logger.info(f"[download_and_save_song] File saved - task_id: {task_id}, path: {file_path}")
         print(f"[download_and_save_song] File saved - task_id: {task_id}, path: {file_path}")
 
         # 프론트엔드에서 접근 가능한 URL 생성
         relative_path = f"/media/song/{today}/{unique_id}/{file_name}"
         base_url = f"http://{prj_settings.PROJECT_DOMAIN}"
         file_url = f"{base_url}{relative_path}"
+        logger.info(f"[download_and_save_song] URL generated - task_id: {task_id}, url: {file_url}")
         print(f"[download_and_save_song] URL generated - task_id: {task_id}, url: {file_url}")
 
-        # Song 테이블 업데이트 (새 세션 사용)
+        # Song 테이블 업데이트
-        async with BackgroundSessionLocal() as session:
+        await _update_song_status(task_id, "completed", file_url)
-            # 여러 개 있을 경우 가장 최근 것 선택
+        logger.info(f"[download_and_save_song] SUCCESS - task_id: {task_id}")
-            result = await session.execute(
+        print(f"[download_and_save_song] SUCCESS - task_id: {task_id}")
-                select(Song)
-                .where(Song.task_id == task_id)
-                .order_by(Song.created_at.desc())
-                .limit(1)
-            )
-            song = result.scalar_one_or_none()
 
-            if song:
+    except httpx.HTTPError as e:
-                song.status = "completed"
+        logger.error(f"[download_and_save_song] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                song.song_result_url = file_url
+        print(f"[download_and_save_song] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                await session.commit()
+        traceback.print_exc()
-                print(f"[download_and_save_song] SUCCESS - task_id: {task_id}, status: completed")
+        await _update_song_status(task_id, "failed")
-            else:
+
-                print(f"[download_and_save_song] Song NOT FOUND in DB - task_id: {task_id}")
+    except SQLAlchemyError as e:
+        logger.error(f"[download_and_save_song] DB ERROR - task_id: {task_id}, error: {e}")
+        print(f"[download_and_save_song] DB ERROR - task_id: {task_id}, error: {e}")
+        traceback.print_exc()
+        await _update_song_status(task_id, "failed")
 
     except Exception as e:
+        logger.error(f"[download_and_save_song] EXCEPTION - task_id: {task_id}, error: {e}")
         print(f"[download_and_save_song] EXCEPTION - task_id: {task_id}, error: {e}")
-        # 실패 시 Song 테이블 업데이트
+        traceback.print_exc()
-        async with BackgroundSessionLocal() as session:
+        await _update_song_status(task_id, "failed")
-            # 여러 개 있을 경우 가장 최근 것 선택
-            result = await session.execute(
-                select(Song)
-                .where(Song.task_id == task_id)
-                .order_by(Song.created_at.desc())
-                .limit(1)
-            )
-            song = result.scalar_one_or_none()
-
-            if song:
-                song.status = "failed"
-                await session.commit()
-                print(f"[download_and_save_song] FAILED - task_id: {task_id}, status updated to failed")
 
 
 async def download_and_upload_song_to_blob(
@@ -114,6 +203,7 @@ async def download_and_upload_song_to_blob(
         audio_url: 다운로드할 오디오 URL
         store_name: 저장할 파일명에 사용할 업체명
     """
+    logger.info(f"[download_and_upload_song_to_blob] START - task_id: {task_id}, store_name: {store_name}")
     print(f"[download_and_upload_song_to_blob] START - task_id: {task_id}, store_name: {store_name}")
     temp_file_path: Path | None = None
 
@@ -129,16 +219,19 @@ async def download_and_upload_song_to_blob(
         temp_dir = Path("media") / "temp" / task_id
         temp_dir.mkdir(parents=True, exist_ok=True)
         temp_file_path = temp_dir / file_name
+        logger.info(f"[download_and_upload_song_to_blob] Temp directory created - path: {temp_file_path}")
         print(f"[download_and_upload_song_to_blob] Temp directory created - path: {temp_file_path}")
 
         # 오디오 파일 다운로드
+        logger.info(f"[download_and_upload_song_to_blob] Downloading audio - task_id: {task_id}, url: {audio_url}")
         print(f"[download_and_upload_song_to_blob] Downloading audio - task_id: {task_id}, url: {audio_url}")
-        async with httpx.AsyncClient() as client:
+
-            response = await client.get(audio_url, timeout=60.0)
+        content = await _download_audio(audio_url, task_id)
-            response.raise_for_status()
 
         async with aiofiles.open(str(temp_file_path), "wb") as f:
-                await f.write(response.content)
+            await f.write(content)
+
+        logger.info(f"[download_and_upload_song_to_blob] File downloaded - task_id: {task_id}, path: {temp_file_path}")
         print(f"[download_and_upload_song_to_blob] File downloaded - task_id: {task_id}, path: {temp_file_path}")
 
         # Azure Blob Storage에 업로드
@@ -150,51 +243,41 @@ async def download_and_upload_song_to_blob(
 
         # SAS 토큰이 제외된 public_url 사용
         blob_url = uploader.public_url
+        logger.info(f"[download_and_upload_song_to_blob] Uploaded to Blob - task_id: {task_id}, url: {blob_url}")
         print(f"[download_and_upload_song_to_blob] Uploaded to Blob - task_id: {task_id}, url: {blob_url}")
 
-        # Song 테이블 업데이트 (새 세션 사용)
+        # Song 테이블 업데이트
-        async with BackgroundSessionLocal() as session:
+        await _update_song_status(task_id, "completed", blob_url)
-            # 여러 개 있을 경우 가장 최근 것 선택
+        logger.info(f"[download_and_upload_song_to_blob] SUCCESS - task_id: {task_id}")
-            result = await session.execute(
+        print(f"[download_and_upload_song_to_blob] SUCCESS - task_id: {task_id}")
-                select(Song)
-                .where(Song.task_id == task_id)
-                .order_by(Song.created_at.desc())
-                .limit(1)
-            )
-            song = result.scalar_one_or_none()
 
-            if song:
+    except httpx.HTTPError as e:
-                song.status = "completed"
+        logger.error(f"[download_and_upload_song_to_blob] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                song.song_result_url = blob_url
+        print(f"[download_and_upload_song_to_blob] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                await session.commit()
+        traceback.print_exc()
-                print(f"[download_and_upload_song_to_blob] SUCCESS - task_id: {task_id}, status: completed")
+        await _update_song_status(task_id, "failed")
-            else:
+
-                print(f"[download_and_upload_song_to_blob] Song NOT FOUND in DB - task_id: {task_id}")
+    except SQLAlchemyError as e:
+        logger.error(f"[download_and_upload_song_to_blob] DB ERROR - task_id: {task_id}, error: {e}")
+        print(f"[download_and_upload_song_to_blob] DB ERROR - task_id: {task_id}, error: {e}")
+        traceback.print_exc()
+        await _update_song_status(task_id, "failed")
 
     except Exception as e:
+        logger.error(f"[download_and_upload_song_to_blob] EXCEPTION - task_id: {task_id}, error: {e}")
         print(f"[download_and_upload_song_to_blob] EXCEPTION - task_id: {task_id}, error: {e}")
-        # 실패 시 Song 테이블 업데이트
+        traceback.print_exc()
-        async with BackgroundSessionLocal() as session:
+        await _update_song_status(task_id, "failed")
-            result = await session.execute(
-                select(Song)
-                .where(Song.task_id == task_id)
-                .order_by(Song.created_at.desc())
-                .limit(1)
-            )
-            song = result.scalar_one_or_none()
-
-            if song:
-                song.status = "failed"
-                await session.commit()
-                print(f"[download_and_upload_song_to_blob] FAILED - task_id: {task_id}, status updated to failed")
 
     finally:
         # 임시 파일 삭제
         if temp_file_path and temp_file_path.exists():
             try:
                 temp_file_path.unlink()
+                logger.info(f"[download_and_upload_song_to_blob] Temp file deleted - path: {temp_file_path}")
                 print(f"[download_and_upload_song_to_blob] Temp file deleted - path: {temp_file_path}")
             except Exception as e:
+                logger.warning(f"[download_and_upload_song_to_blob] Failed to delete temp file: {e}")
                 print(f"[download_and_upload_song_to_blob] Failed to delete temp file: {e}")
 
         # 임시 디렉토리 삭제 시도
@@ -220,6 +303,7 @@ async def download_and_upload_song_by_suno_task_id(
         store_name: 저장할 파일명에 사용할 업체명
         duration: 노래 재생 시간 (초)
     """
+    logger.info(f"[download_and_upload_song_by_suno_task_id] START - suno_task_id: {suno_task_id}, store_name: {store_name}, duration: {duration}")
     print(f"[download_and_upload_song_by_suno_task_id] START - suno_task_id: {suno_task_id}, store_name: {store_name}, duration: {duration}")
     temp_file_path: Path | None = None
     task_id: str | None = None
@@ -236,10 +320,12 @@ async def download_and_upload_song_by_suno_task_id(
             song = result.scalar_one_or_none()
 
             if not song:
+                logger.warning(f"[download_and_upload_song_by_suno_task_id] Song NOT FOUND - suno_task_id: {suno_task_id}")
                 print(f"[download_and_upload_song_by_suno_task_id] Song NOT FOUND - suno_task_id: {suno_task_id}")
                 return
 
             task_id = song.task_id
+            logger.info(f"[download_and_upload_song_by_suno_task_id] Song found - suno_task_id: {suno_task_id}, task_id: {task_id}")
             print(f"[download_and_upload_song_by_suno_task_id] Song found - suno_task_id: {suno_task_id}, task_id: {task_id}")
 
         # 파일명에 사용할 수 없는 문자 제거
@@ -253,16 +339,19 @@ async def download_and_upload_song_by_suno_task_id(
         temp_dir = Path("media") / "temp" / task_id
         temp_dir.mkdir(parents=True, exist_ok=True)
         temp_file_path = temp_dir / file_name
+        logger.info(f"[download_and_upload_song_by_suno_task_id] Temp directory created - path: {temp_file_path}")
         print(f"[download_and_upload_song_by_suno_task_id] Temp directory created - path: {temp_file_path}")
 
         # 오디오 파일 다운로드
+        logger.info(f"[download_and_upload_song_by_suno_task_id] Downloading audio - suno_task_id: {suno_task_id}, url: {audio_url}")
         print(f"[download_and_upload_song_by_suno_task_id] Downloading audio - suno_task_id: {suno_task_id}, url: {audio_url}")
-        async with httpx.AsyncClient() as client:
+
-            response = await client.get(audio_url, timeout=60.0)
+        content = await _download_audio(audio_url, task_id)
-            response.raise_for_status()
 
         async with aiofiles.open(str(temp_file_path), "wb") as f:
-                await f.write(response.content)
+            await f.write(content)
+
+        logger.info(f"[download_and_upload_song_by_suno_task_id] File downloaded - suno_task_id: {suno_task_id}, path: {temp_file_path}")
         print(f"[download_and_upload_song_by_suno_task_id] File downloaded - suno_task_id: {suno_task_id}, path: {temp_file_path}")
 
         # Azure Blob Storage에 업로드
@@ -274,53 +363,50 @@ async def download_and_upload_song_by_suno_task_id(
 
         # SAS 토큰이 제외된 public_url 사용
         blob_url = uploader.public_url
+        logger.info(f"[download_and_upload_song_by_suno_task_id] Uploaded to Blob - suno_task_id: {suno_task_id}, url: {blob_url}")
         print(f"[download_and_upload_song_by_suno_task_id] Uploaded to Blob - suno_task_id: {suno_task_id}, url: {blob_url}")
 
-        # Song 테이블 업데이트 (새 세션 사용)
+        # Song 테이블 업데이트
-        async with BackgroundSessionLocal() as session:
+        await _update_song_status(
-            result = await session.execute(
+            task_id=task_id,
-                select(Song)
+            status="completed",
-                .where(Song.suno_task_id == suno_task_id)
+            song_url=blob_url,
-                .order_by(Song.created_at.desc())
+            suno_task_id=suno_task_id,
-                .limit(1)
+            duration=duration,
         )
-            song = result.scalar_one_or_none()
+        logger.info(f"[download_and_upload_song_by_suno_task_id] SUCCESS - suno_task_id: {suno_task_id}, duration: {duration}")
+        print(f"[download_and_upload_song_by_suno_task_id] SUCCESS - suno_task_id: {suno_task_id}, duration: {duration}")
 
-            if song:
+    except httpx.HTTPError as e:
-                song.status = "completed"
+        logger.error(f"[download_and_upload_song_by_suno_task_id] DOWNLOAD ERROR - suno_task_id: {suno_task_id}, error: {e}")
-                song.song_result_url = blob_url
+        print(f"[download_and_upload_song_by_suno_task_id] DOWNLOAD ERROR - suno_task_id: {suno_task_id}, error: {e}")
-                if duration is not None:
+        traceback.print_exc()
-                    song.duration = duration
+        if task_id:
-                await session.commit()
+            await _update_song_status(task_id, "failed", suno_task_id=suno_task_id)
-                print(f"[download_and_upload_song_by_suno_task_id] SUCCESS - suno_task_id: {suno_task_id}, status: completed, duration: {duration}")
+
-            else:
+    except SQLAlchemyError as e:
-                print(f"[download_and_upload_song_by_suno_task_id] Song NOT FOUND in DB - suno_task_id: {suno_task_id}")
+        logger.error(f"[download_and_upload_song_by_suno_task_id] DB ERROR - suno_task_id: {suno_task_id}, error: {e}")
+        print(f"[download_and_upload_song_by_suno_task_id] DB ERROR - suno_task_id: {suno_task_id}, error: {e}")
+        traceback.print_exc()
+        if task_id:
+            await _update_song_status(task_id, "failed", suno_task_id=suno_task_id)
 
     except Exception as e:
+        logger.error(f"[download_and_upload_song_by_suno_task_id] EXCEPTION - suno_task_id: {suno_task_id}, error: {e}")
         print(f"[download_and_upload_song_by_suno_task_id] EXCEPTION - suno_task_id: {suno_task_id}, error: {e}")
-        # 실패 시 Song 테이블 업데이트
+        traceback.print_exc()
         if task_id:
-            async with BackgroundSessionLocal() as session:
+            await _update_song_status(task_id, "failed", suno_task_id=suno_task_id)
-                result = await session.execute(
-                    select(Song)
-                    .where(Song.suno_task_id == suno_task_id)
-                    .order_by(Song.created_at.desc())
-                    .limit(1)
-                )
-                song = result.scalar_one_or_none()
-
-                if song:
-                    song.status = "failed"
-                    await session.commit()
-                    print(f"[download_and_upload_song_by_suno_task_id] FAILED - suno_task_id: {suno_task_id}, status updated to failed")
 
     finally:
         # 임시 파일 삭제
         if temp_file_path and temp_file_path.exists():
             try:
                 temp_file_path.unlink()
+                logger.info(f"[download_and_upload_song_by_suno_task_id] Temp file deleted - path: {temp_file_path}")
                 print(f"[download_and_upload_song_by_suno_task_id] Temp file deleted - path: {temp_file_path}")
             except Exception as e:
+                logger.warning(f"[download_and_upload_song_by_suno_task_id] Failed to delete temp file: {e}")
                 print(f"[download_and_upload_song_by_suno_task_id] Failed to delete temp file: {e}")
 
         # 임시 디렉토리 삭제 시도

app/utils/chatgpt_prompt.py

@@ -1,10 +1,14 @@
 import json
+import logging
 import re
 
 from openai import AsyncOpenAI
 
 from config import apikey_settings
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
 # fmt: off
 LYRICS_PROMPT_TEMPLATE_ORI = """
 1.Act as a content marketing expert with domain knowledges in [pension/staying services] in Korea, Goal: plan viral content creation that lead online reservations and promotion
@@ -156,18 +160,10 @@ Provide comprehensive marketing analysis including:
    - Return as JSON with key "tags"
    - **MUST be written in Korean (한국어)**
 
-2. Facilities
-   - Based on the business name and region details, identify 5 likely facilities/amenities
-   - Consider typical facilities for accommodations in the given region
-   - Examples: 바베큐장, 수영장, 주차장, 와이파이, 주방, 테라스, 정원, etc.
-   - Return as JSON with key "facilities"
-   - **MUST be written in Korean (한국어)**
-
 [CRITICAL LANGUAGE REQUIREMENT - ABSOLUTE RULE]
 ALL OUTPUT MUST BE WRITTEN IN KOREAN (한국어) 
 - Analysis sections: Korean only
 - Tags: Korean only
-- Facilities: Korean only
 - This is a NON-NEGOTIABLE requirement
 - Any output in English or other languages is considered a FAILURE
 - Violation of this rule invalidates the entire response
@@ -199,8 +195,7 @@ ALL OUTPUT MUST BE WRITTEN IN KOREAN (한국어)
 ## JSON Data
 ```json
 {{
-    "tags": ["태그1", "태그2", "태그3", "태그4", "태그5"],
+    "tags": ["태그1", "태그2", "태그3", "태그4", "태그5"]
-    "facilities": ["부대시설1", "부대시설2", "부대시설3", "부대시설4", "부대시설5"]
 }}
 ```
 ---
@@ -215,6 +210,11 @@ ERROR: [Brief reason for failure in English]
 
 
 class ChatgptService:
+    """ChatGPT API 서비스 클래스
+
+    GPT 5.0 모델을 사용하여 마케팅 가사 및 분석을 생성합니다.
+    """
+
     def __init__(
         self,
         customer_name: str,
@@ -222,9 +222,8 @@ class ChatgptService:
         detail_region_info: str = "",
         language: str = "Korean",
     ):
-        # 최신 모델: GPT-5, GPT-5 mini, GPT-5 nano, GPT-4.1, GPT-4.1 mini, GPT-4.1 nano
+        # 최신 모델: gpt-5-mini
-        # 이전 세대: GPT-4o, GPT-4o mini, GPT-4 Turbo, GPT-3.5 Turbo
+        self.model = "gpt-5-mini"
-        self.model = "gpt-4o"
         self.client = AsyncOpenAI(api_key=apikey_settings.CHATGPT_API_KEY)
         self.customer_name = customer_name
         self.region = region
@@ -248,44 +247,102 @@ class ChatgptService:
             detail_region_info=self.detail_region_info,
         )
 
-    async def generate(self, prompt: str | None = None) -> str:
+    async def _call_gpt_api(self, prompt: str) -> str:
-        """GPT에게 프롬프트를 전달하여 결과를 반환"""
+        """GPT API를 직접 호출합니다 (내부 메서드).
-        if prompt is None:
+
-            prompt = self.build_lyrics_prompt()
+        Args:
-        print("Generated Prompt: ", prompt)
+            prompt: GPT에 전달할 프롬프트
+
+        Returns:
+            GPT 응답 문자열
+
+        Raises:
+            APIError, APIConnectionError, RateLimitError: OpenAI API 오류
+        """
         completion = await self.client.chat.completions.create(
             model=self.model, messages=[{"role": "user", "content": prompt}]
         )
         message = completion.choices[0].message.content
         return message or ""
 
-    async def summarize_marketing(self, text: str) -> str:
+    async def generate(
-        """마케팅 텍스트를 항목으로 구분하여 500자로 요약 정리"""
+        self,
-        prompt = f"""[ROLE]
+        prompt: str | None = None,
-            마케팅 콘텐츠 요약 전문가
+    ) -> str:
+        """GPT에게 프롬프트를 전달하여 결과를 반환합니다.
 
-            [INPUT]
+        Args:
-            {text}
+            prompt: GPT에 전달할 프롬프트 (None이면 기본 가사 프롬프트 사용)
 
-            [TASK]
+        Returns:
-            위 텍스트를 분석하여 핵심 내용을 항목별로 구분하여 500자 이내로 요약해주세요.
+            GPT 응답 문자열
 
-            [OUTPUT REQUIREMENTS]
+        Raises:
-            - 항목별로 구분하여 정리 (예: 타겟 고객, 차별점, 지역 특성 등)
+            APIError, APIConnectionError, RateLimitError: OpenAI API 오류
-            - 총 500자 이내로 요약
-            - 핵심 정보만 간결하게 포함
-            - 한국어로 작성
-
-            [OUTPUT FORMAT]
-            ---
-            [항목별로 구분된 500자 이내 요약]
-            ---
         """
-        completion = await self.client.chat.completions.create(
+        if prompt is None:
-            model=self.model, messages=[{"role": "user", "content": prompt}]
+            prompt = self.build_lyrics_prompt()
-        )
+
-        message = completion.choices[0].message.content
+        print(f"[ChatgptService] Generated Prompt (length: {len(prompt)})")
-        result = message or ""
+        logger.info(f"[ChatgptService] Starting GPT request with model: {self.model}")
+
+        # GPT API 호출
+        response = await self._call_gpt_api(prompt)
+
+        print(f"[ChatgptService] SUCCESS - Response length: {len(response)}")
+        logger.info(f"[ChatgptService] SUCCESS - Response length: {len(response)}")
+        return response
+
+    async def summarize_marketing(self, text: str) -> str:
+        """마케팅 텍스트를 항목으로 구분하여 500자로 요약 정리.
+
+        Args:
+            text: 요약할 마케팅 텍스트
+
+        Returns:
+            요약된 텍스트
+
+        Raises:
+            APIError, APIConnectionError, RateLimitError: OpenAI API 오류
+        """
+        prompt = f"""[ROLE]
+마케팅 콘텐츠 요약 전문가
+
+[INPUT]
+{text}
+
+[TASK]
+위 텍스트를 분석하여 핵심 내용을 항목별로 구분하여 500자 이내로 요약해주세요.
+
+[OUTPUT REQUIREMENTS]
+- 5개 항목으로 구분: 타겟 고객, 핵심 차별점, 지역 특성, 시즌별 포인트, 추천 키워드
+- 각 항목은 줄바꿈으로 구분
+- 총 500자 이내로 요약
+- 핵심 정보만 간결하게 포함
+- 한국어로 작성
+- 특수문자 사용 금지 (괄호, 슬래시, 하이픈, 물결표 등 제외)
+- 쉼표와 마침표만 사용하여 자연스러운 문장으로 작성
+
+[OUTPUT FORMAT - 반드시 아래 형식 준수]
+---
+타겟 고객
+[대상 고객층을 자연스러운 문장으로 설명]
+
+핵심 차별점
+[숙소의 차별화 포인트를 자연스러운 문장으로 설명]
+
+지역 특성
+[주변 관광지와 지역 특색을 자연스러운 문장으로 설명]
+
+시즌별 포인트
+[계절별 매력 포인트를 자연스러운 문장으로 설명]
+
+추천 키워드
+[마케팅에 활용할 키워드를 쉼표로 구분하여 나열]
+---
+"""
+
+        result = await self.generate(prompt=prompt)
 
         # --- 구분자 제거
         if result.startswith("---"):
@@ -295,9 +352,15 @@ class ChatgptService:
 
         return result
 
-    async def parse_marketing_analysis(self, raw_response: str) -> dict:
+    async def parse_marketing_analysis(
+        self, raw_response: str, facility_info: str | None = None
+    ) -> dict:
         """ChatGPT 마케팅 분석 응답을 파싱하고 요약하여 딕셔너리로 반환
 
+        Args:
+            raw_response: ChatGPT 마케팅 분석 응답 원문
+            facility_info: 크롤링에서 가져온 편의시설 정보 문자열
+
         Returns:
             dict: {"report": str, "tags": list[str], "facilities": list[str]}
         """
@@ -311,7 +374,7 @@ class ChatgptService:
             try:
                 json_data = json.loads(json_match.group(1))
                 tags = json_data.get("tags", [])
-                facilities = json_data.get("facilities", [])
+                print(f"[parse_marketing_analysis] GPT 응답에서 tags 파싱 완료: {tags}")
                 # JSON 블록을 제외한 리포트 부분 추출
                 report = raw_response[: json_match.start()].strip()
                 # --- 구분자 제거
@@ -320,10 +383,22 @@ class ChatgptService:
                 if report.endswith("---"):
                     report = report[:-3].strip()
             except json.JSONDecodeError:
+                print("[parse_marketing_analysis] JSON 파싱 실패")
                 pass
 
+        # 크롤링에서 가져온 facility_info로 facilities 설정
+        print(f"[parse_marketing_analysis] 크롤링 facility_info 원본: {facility_info}")
+        if facility_info:
+            # 쉼표로 구분된 편의시설 문자열을 리스트로 변환
+            facilities = [f.strip() for f in facility_info.split(",") if f.strip()]
+            print(f"[parse_marketing_analysis] facility_info 파싱 결과: {facilities}")
+        else:
+            facilities = ["등록된 정보 없음"]
+            print("[parse_marketing_analysis] facility_info 없음 - '등록된 정보 없음' 설정")
+
         # 리포트 내용을 500자로 요약
         if report:
             report = await self.summarize_marketing(report)
 
+        print(f"[parse_marketing_analysis] 최종 facilities: {facilities}")
         return {"report": report, "tags": tags, "facilities": facilities}

app/utils/creatomate.py

@@ -30,6 +30,7 @@ response = await creatomate.make_creatomate_call(template_id, modifications)
 """
 
 import copy
+import logging
 import time
 from typing import Literal
 
@@ -37,6 +38,9 @@ import httpx
 
 from config import apikey_settings, creatomate_settings
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
 
 # Orientation 타입 정의
 OrientationType = Literal["horizontal", "vertical"]
@@ -138,11 +142,51 @@ class CreatomateService:
             "Authorization": f"Bearer {self.api_key}",
         }
 
+    async def _request(
+        self,
+        method: str,
+        url: str,
+        timeout: float = 30.0,
+        **kwargs,
+    ) -> httpx.Response:
+        """HTTP 요청을 수행합니다.
+
+        Args:
+            method: HTTP 메서드 ("GET", "POST", etc.)
+            url: 요청 URL
+            timeout: 요청 타임아웃 (초)
+            **kwargs: httpx 요청에 전달할 추가 인자
+
+        Returns:
+            httpx.Response: 응답 객체
+
+        Raises:
+            httpx.HTTPError: 요청 실패 시
+        """
+        logger.info(f"[Creatomate] {method} {url}")
+        print(f"[Creatomate] {method} {url}")
+
+        client = await get_shared_client()
+
+        if method.upper() == "GET":
+            response = await client.get(
+                url, headers=self.headers, timeout=timeout, **kwargs
+            )
+        elif method.upper() == "POST":
+            response = await client.post(
+                url, headers=self.headers, timeout=timeout, **kwargs
+            )
+        else:
+            raise ValueError(f"Unsupported HTTP method: {method}")
+
+        logger.info(f"[Creatomate] Response - Status: {response.status_code}")
+        print(f"[Creatomate] Response - Status: {response.status_code}")
+        return response
+
     async def get_all_templates_data(self) -> dict:
         """모든 템플릿 정보를 조회합니다."""
         url = f"{self.BASE_URL}/v1/templates"
-        client = await get_shared_client()
+        response = await self._request("GET", url, timeout=30.0)
-        response = await client.get(url, headers=self.headers, timeout=30.0)
         response.raise_for_status()
         return response.json()
 
@@ -175,8 +219,7 @@ class CreatomateService:
 
         # API 호출
         url = f"{self.BASE_URL}/v1/templates/{template_id}"
-        client = await get_shared_client()
+        response = await self._request("GET", url, timeout=30.0)
-        response = await client.get(url, headers=self.headers, timeout=30.0)
         response.raise_for_status()
         data = response.json()
 
@@ -331,10 +374,7 @@ class CreatomateService:
             "template_id": template_id,
             "modifications": modifications,
         }
-        client = await get_shared_client()
+        response = await self._request("POST", url, timeout=60.0, json=data)
-        response = await client.post(
-            url, json=data, headers=self.headers, timeout=60.0
-        )
         response.raise_for_status()
         return response.json()
 
@@ -345,10 +385,7 @@ class CreatomateService:
             response에 요청 정보가 있으니 폴링 필요
         """
         url = f"{self.BASE_URL}/v2/renders"
-        client = await get_shared_client()
+        response = await self._request("POST", url, timeout=60.0, json=source)
-        response = await client.post(
-            url, json=source, headers=self.headers, timeout=60.0
-        )
         response.raise_for_status()
         return response.json()
 
@@ -379,8 +416,7 @@ class CreatomateService:
             - failed: 실패
         """
         url = f"{self.BASE_URL}/v1/renders/{render_id}"
-        client = await get_shared_client()
+        response = await self._request("GET", url, timeout=30.0)
-        response = await client.get(url, headers=self.headers, timeout=30.0)
         response.raise_for_status()
         return response.json()
 

app/utils/nvMapPwScraper.py

@@ -0,0 +1,113 @@
+import asyncio
+from playwright.async_api import async_playwright
+from urllib import parse
+
+class nvMapPwScraper():
+    # cls vars
+    is_ready = False
+    _playwright = None
+    _browser = None
+    _context = None
+    _win_width = 1280
+    _win_height = 720
+    _max_retry = 30 # place id timeout threshold seconds
+    
+    # instance var
+    page = None
+
+    @classmethod
+    def default_context_builder(cls):
+        context_builder_dict = {}
+        context_builder_dict['viewport'] = {
+                'width' : cls._win_width,
+                'height' : cls._win_height
+        }
+        context_builder_dict['screen'] = {
+                'width' : cls._win_width,
+                'height' : cls._win_height
+        }
+        context_builder_dict['user_agent'] = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36"
+        context_builder_dict['locale'] = 'ko-KR'
+        context_builder_dict['timezone_id']='Asia/Seoul'
+
+        return context_builder_dict
+       
+    @classmethod
+    async def initiate_scraper(cls):
+        if not cls._playwright:
+            cls._playwright = await async_playwright().start()
+        if not cls._browser:
+            cls._browser = await cls._playwright.chromium.launch(headless=True)
+        if not cls._context:
+            cls._context = await cls._browser.new_context(**cls.default_context_builder())
+        cls.is_ready = True
+    
+    def __init__(self):
+        if not self.is_ready:
+            raise Exception("nvMapScraper is not initiated")
+
+    async def __aenter__(self):
+        await self.create_page()
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.page.close()
+        
+    async def create_page(self):
+        self.page = await self._context.new_page()
+        await self.page.add_init_script(
+'''const defaultGetter = Object.getOwnPropertyDescriptor(
+    Navigator.prototype,
+    "webdriver"
+).get;
+defaultGetter.apply(navigator);
+defaultGetter.toString();
+Object.defineProperty(Navigator.prototype, "webdriver", {
+    set: undefined,
+    enumerable: true,
+    configurable: true,
+    get: new Proxy(defaultGetter, {
+    apply: (target, thisArg, args) => {
+        Reflect.apply(target, thisArg, args);
+        return false;
+    },
+    }),
+});
+const patchedGetter = Object.getOwnPropertyDescriptor(
+    Navigator.prototype,
+    "webdriver"
+).get;
+patchedGetter.apply(navigator);
+patchedGetter.toString();''')
+
+        await self.page.set_extra_http_headers({
+            'sec-ch-ua': '\"Not?A_Brand\";v=\"99\", \"Chromium\";v=\"130\"'
+        })
+        await self.page.goto("http://google.com")
+        
+    async def goto_url(self, url, wait_until="domcontentloaded", timeout=20000):
+        page = self.page
+        await page.goto(url, wait_until=wait_until, timeout=timeout)
+
+    async def get_place_id_url(self, selected):
+        
+        title = selected['title'].replace("<b>", "").replace("</b>", "")
+        address = selected.get('roadAddress', selected['address']).replace("<b>", "").replace("</b>", "")
+        encoded_query = parse.quote(f"{address} {title}")
+        url = f"https://map.naver.com/p/search/{encoded_query}"
+
+        await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
+
+        if "/place/" in self.page.url:
+            return self.page.url
+
+        url = self.page.url.replace("?","?isCorrectAnswer=true&")
+        await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
+        
+        if "/place/" in self.page.url:
+            return self.page.url
+
+        if (count == self._max_retry / 2):
+            raise Exception("Failed to identify place id. loading timeout")
+        else:
+            raise Exception("Failed to identify place id. item is ambiguous")

app/utils/nvMapScraper.py

@@ -1,17 +1,35 @@
+import asyncio
 import json
+import logging
 import re
 
 import aiohttp
+import bs4
 
 from config import crawler_settings
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
 
 class GraphQLException(Exception):
+    """GraphQL 요청 실패 시 발생하는 예외"""
+    pass
+
+
+class CrawlingTimeoutException(Exception):
+    """크롤링 타임아웃 시 발생하는 예외"""
     pass
 
 
 class NvMapScraper:
+    """네이버 지도 GraphQL API 스크래퍼
+
+    네이버 지도에서 숙소/장소 정보를 크롤링합니다.
+    """
+
     GRAPHQL_URL: str = "https://pcmap-api.place.naver.com/graphql"
+    REQUEST_TIMEOUT = 120  # 초
 
     OVERVIEW_QUERY: str = """
 query getAccommodation($id: String!, $deviceType: String) {
@@ -49,6 +67,7 @@ query getAccommodation($id: String!, $deviceType: String) {
         self.rawdata: dict | None = None
         self.image_link_list: list[str] | None = None
         self.base_info: dict | None = None
+        self.facility_info: str | None = None
 
     def _get_request_headers(self) -> dict:
         headers = self.DEFAULT_HEADERS.copy()
@@ -56,8 +75,19 @@ query getAccommodation($id: String!, $deviceType: String) {
             headers["Cookie"] = self.cookies
         return headers
 
-    def parse_url(self) -> str:
+    async def parse_url(self) -> str:
+        """URL에서 place ID를 추출합니다. 단축 URL인 경우 실제 URL로 변환합니다."""
         place_pattern = r"/place/(\d+)"
+
+        # URL에 place가 없는 경우 단축 URL 처리
+        if "place" not in self.url:
+            if "naver.me" in self.url:
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(self.url) as response:
+                        self.url = str(response.url)
+            else:
+                raise GraphQLException("This URL does not contain a place ID")
+
         match = re.search(place_pattern, self.url)
         if not match:
             raise GraphQLException("Failed to parse place ID from URL")
@@ -65,14 +95,17 @@ query getAccommodation($id: String!, $deviceType: String) {
 
     async def scrap(self):
         try:
-            place_id = self.parse_url()
+            place_id = await self.parse_url()
             data = await self._call_get_accommodation(place_id)
             self.rawdata = data
+            fac_data = await self._get_facility_string(place_id)
+            self.rawdata["facilities"] = fac_data
             self.image_link_list = [
                 nv_image["origin"]
                 for nv_image in data["data"]["business"]["images"]["images"]
             ]
             self.base_info = data["data"]["business"]["base"]
+            self.facility_info = fac_data
             self.scrap_type = "GraphQL"
 
         except GraphQLException:
@@ -83,25 +116,81 @@ query getAccommodation($id: String!, $deviceType: String) {
         return
 
     async def _call_get_accommodation(self, place_id: str) -> dict:
+        """GraphQL API를 호출하여 숙소 정보를 가져옵니다.
+
+        Args:
+            place_id: 네이버 지도 장소 ID
+
+        Returns:
+            GraphQL 응답 데이터
+
+        Raises:
+            GraphQLException: API 호출 실패 시
+            CrawlingTimeoutException: 타임아웃 발생 시
+        """
         payload = {
             "operationName": "getAccommodation",
             "variables": {"id": place_id, "deviceType": "pc"},
             "query": self.OVERVIEW_QUERY,
         }
         json_payload = json.dumps(payload)
+        timeout = aiohttp.ClientTimeout(total=self.REQUEST_TIMEOUT)
 
-        async with aiohttp.ClientSession() as session:
+        try:
+            logger.info(f"[NvMapScraper] Requesting place_id: {place_id}")
+            print(f"[NvMapScraper] Requesting place_id: {place_id}")
+
+            async with aiohttp.ClientSession(timeout=timeout) as session:
                 async with session.post(
-                self.GRAPHQL_URL, data=json_payload, headers=self._get_request_headers()
+                    self.GRAPHQL_URL,
+                    data=json_payload,
+                    headers=self._get_request_headers()
                 ) as response:
                     if response.status == 200:
+                        logger.info(f"[NvMapScraper] SUCCESS - place_id: {place_id}")
+                        print(f"[NvMapScraper] SUCCESS - place_id: {place_id}")
                         return await response.json()
-                else:
+
-                    print("실패 상태 코드:", response.status)
+                    # 실패 상태 코드
+                    logger.error(f"[NvMapScraper] Failed with status {response.status} - place_id: {place_id}")
+                    print(f"[NvMapScraper] 실패 상태 코드: {response.status}")
                     raise GraphQLException(
                         f"Request failed with status {response.status}"
                     )
 
+        except (TimeoutError, asyncio.TimeoutError):
+            logger.error(f"[NvMapScraper] Timeout - place_id: {place_id}")
+            print(f"[NvMapScraper] Timeout - place_id: {place_id}")
+            raise CrawlingTimeoutException(f"Request timed out after {self.REQUEST_TIMEOUT}s")
+
+        except aiohttp.ClientError as e:
+            logger.error(f"[NvMapScraper] Client error: {e}")
+            print(f"[NvMapScraper] Client error: {e}")
+            raise GraphQLException(f"Client error: {e}")
+
+    async def _get_facility_string(self, place_id: str) -> str | None:
+        """숙소 페이지에서 편의시설 정보를 크롤링합니다.
+
+        Args:
+            place_id: 네이버 지도 장소 ID
+
+        Returns:
+            편의시설 정보 문자열 또는 None
+        """
+        url = f"https://pcmap.place.naver.com/accommodation/{place_id}/home"
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(url, headers=self._get_request_headers()) as response:
+                    soup = bs4.BeautifulSoup(await response.read(), "html.parser")
+                    c_elem = soup.find("span", "place_blind", string="편의")
+                    if c_elem:
+                        facilities = c_elem.parent.parent.find("div").string
+                        return facilities
+                    return None
+        except Exception as e:
+            logger.warning(f"[NvMapScraper] Failed to get facility info: {e}")
+            return None
+
 
 # if __name__ == "__main__":
 #     import asyncio

app/utils/upload_blob_as_request.py

@@ -32,6 +32,7 @@ URL 경로 형식:
 """
 
 import asyncio
+import logging
 import time
 from pathlib import Path
 
@@ -40,6 +41,8 @@ import httpx
 
 from config import azure_blob_settings
 
+# 로거 설정
+logger = logging.getLogger(__name__)
 
 # =============================================================================
 # 모듈 레벨 공유 HTTP 클라이언트 (싱글톤 패턴)
@@ -138,17 +141,30 @@ class AzureBlobUploader:
         timeout: float,
         log_prefix: str,
     ) -> bool:
-        """바이트 데이터를 업로드하는 공통 내부 메서드"""
+        """바이트 데이터를 업로드하는 공통 내부 메서드
+
+        Args:
+            file_content: 업로드할 바이트 데이터
+            upload_url: 업로드 URL
+            headers: HTTP 헤더
+            timeout: 요청 타임아웃 (초)
+            log_prefix: 로그 접두사
+
+        Returns:
+            bool: 업로드 성공 여부
+        """
+        size = len(file_content)
         start_time = time.perf_counter()
 
         try:
+            logger.info(f"[{log_prefix}] Starting upload")
             print(f"[{log_prefix}] Getting shared client...")
+
             client = await get_shared_blob_client()
             client_time = time.perf_counter()
             elapsed_ms = (client_time - start_time) * 1000
             print(f"[{log_prefix}] Client acquired in {elapsed_ms:.1f}ms")
 
-            size = len(file_content)
             print(f"[{log_prefix}] Starting upload... "
                   f"(size: {size} bytes, timeout: {timeout}s)")
 
@@ -160,11 +176,14 @@ class AzureBlobUploader:
             duration_ms = (upload_time - start_time) * 1000
 
             if response.status_code in [200, 201]:
+                logger.info(f"[{log_prefix}] SUCCESS - Status: {response.status_code}")
                 print(f"[{log_prefix}] SUCCESS - Status: {response.status_code}, "
                       f"Duration: {duration_ms:.1f}ms")
                 print(f"[{log_prefix}] Public URL: {self._last_public_url}")
                 return True
-            else:
+
+            # 업로드 실패
+            logger.error(f"[{log_prefix}] FAILED - Status: {response.status_code}")
             print(f"[{log_prefix}] FAILED - Status: {response.status_code}, "
                   f"Duration: {duration_ms:.1f}ms")
             print(f"[{log_prefix}] Response: {response.text[:500]}")
@@ -172,21 +191,27 @@ class AzureBlobUploader:
 
         except asyncio.TimeoutError:
             elapsed = time.perf_counter() - start_time
-            print(f"[{log_prefix}] TIMEOUT after {elapsed:.1f}s "
+            logger.error(f"[{log_prefix}] TIMEOUT after {elapsed:.1f}s")
-                  f"(limit: {timeout}s)")
+            print(f"[{log_prefix}] TIMEOUT after {elapsed:.1f}s")
             return False
+
         except httpx.ConnectError as e:
             elapsed = time.perf_counter() - start_time
+            logger.error(f"[{log_prefix}] CONNECT_ERROR: {e}")
             print(f"[{log_prefix}] CONNECT_ERROR after {elapsed:.1f}s - "
                   f"{type(e).__name__}: {e}")
             return False
+
         except httpx.ReadError as e:
             elapsed = time.perf_counter() - start_time
+            logger.error(f"[{log_prefix}] READ_ERROR: {e}")
             print(f"[{log_prefix}] READ_ERROR after {elapsed:.1f}s - "
                   f"{type(e).__name__}: {e}")
             return False
+
         except Exception as e:
             elapsed = time.perf_counter() - start_time
+            logger.error(f"[{log_prefix}] ERROR: {type(e).__name__}: {e}")
             print(f"[{log_prefix}] ERROR after {elapsed:.1f}s - "
                   f"{type(e).__name__}: {e}")
             return False

app/video/services/video.py

@@ -783,7 +783,7 @@ async def make_automation(request: Request, conn: Connection):
             else "",
             "attr_value": ", ".join(selected_values) if selected_values else "",
             "ai": "ChatGPT",
-            "ai_model": "gpt-4o",
+            "ai_model": "gpt-5-mini",
             "genre": "후크송",
             "sample_song": combined_sample_song or "없음",
             "result_song": final_lyrics,

app/video/worker/video_task.py

@@ -4,16 +4,109 @@ Video Background Tasks
 영상 생성 관련 백그라운드 태스크를 정의합니다.
 """
 
+import logging
+import traceback
 from pathlib import Path
 
 import aiofiles
 import httpx
 from sqlalchemy import select
+from sqlalchemy.exc import SQLAlchemyError
 
 from app.database.session import BackgroundSessionLocal
 from app.video.models import Video
 from app.utils.upload_blob_as_request import AzureBlobUploader
 
+# 로거 설정
+logger = logging.getLogger(__name__)
+
+# HTTP 요청 설정
+REQUEST_TIMEOUT = 300.0  # 초 (영상은 용량이 크므로 5분)
+
+
+async def _update_video_status(
+    task_id: str,
+    status: str,
+    video_url: str | None = None,
+    creatomate_render_id: str | None = None,
+) -> bool:
+    """Video 테이블의 상태를 업데이트합니다.
+
+    Args:
+        task_id: 프로젝트 task_id
+        status: 변경할 상태 ("processing", "completed", "failed")
+        video_url: 영상 URL
+        creatomate_render_id: Creatomate render ID (선택)
+
+    Returns:
+        bool: 업데이트 성공 여부
+    """
+    try:
+        async with BackgroundSessionLocal() as session:
+            if creatomate_render_id:
+                query_result = await session.execute(
+                    select(Video)
+                    .where(Video.creatomate_render_id == creatomate_render_id)
+                    .order_by(Video.created_at.desc())
+                    .limit(1)
+                )
+            else:
+                query_result = await session.execute(
+                    select(Video)
+                    .where(Video.task_id == task_id)
+                    .order_by(Video.created_at.desc())
+                    .limit(1)
+                )
+
+            video = query_result.scalar_one_or_none()
+
+            if video:
+                video.status = status
+                if video_url is not None:
+                    video.result_movie_url = video_url
+                await session.commit()
+                logger.info(f"[Video] Status updated - task_id: {task_id}, status: {status}")
+                print(f"[Video] Status updated - task_id: {task_id}, status: {status}")
+                return True
+            else:
+                logger.warning(f"[Video] NOT FOUND in DB - task_id: {task_id}")
+                print(f"[Video] NOT FOUND in DB - task_id: {task_id}")
+                return False
+
+    except SQLAlchemyError as e:
+        logger.error(f"[Video] DB Error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Video] DB Error while updating status - task_id: {task_id}, error: {e}")
+        return False
+    except Exception as e:
+        logger.error(f"[Video] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        print(f"[Video] Unexpected error while updating status - task_id: {task_id}, error: {e}")
+        return False
+
+
+async def _download_video(url: str, task_id: str) -> bytes:
+    """URL에서 영상을 다운로드합니다.
+
+    Args:
+        url: 다운로드할 URL
+        task_id: 로그용 task_id
+
+    Returns:
+        bytes: 다운로드한 파일 내용
+
+    Raises:
+        httpx.HTTPError: 다운로드 실패 시
+    """
+    logger.info(f"[VideoDownload] Downloading - task_id: {task_id}")
+    print(f"[VideoDownload] Downloading - task_id: {task_id}")
+
+    async with httpx.AsyncClient() as client:
+        response = await client.get(url, timeout=REQUEST_TIMEOUT)
+        response.raise_for_status()
+
+        logger.info(f"[VideoDownload] SUCCESS - task_id: {task_id}, size: {len(response.content)} bytes")
+        print(f"[VideoDownload] SUCCESS - task_id: {task_id}, size: {len(response.content)} bytes")
+        return response.content
+
 
 async def download_and_upload_video_to_blob(
     task_id: str,
@@ -27,6 +120,7 @@ async def download_and_upload_video_to_blob(
         video_url: 다운로드할 영상 URL
         store_name: 저장할 파일명에 사용할 업체명
     """
+    logger.info(f"[download_and_upload_video_to_blob] START - task_id: {task_id}, store_name: {store_name}")
     print(f"[download_and_upload_video_to_blob] START - task_id: {task_id}, store_name: {store_name}")
     temp_file_path: Path | None = None
 
@@ -42,16 +136,19 @@ async def download_and_upload_video_to_blob(
         temp_dir = Path("media") / "temp" / task_id
         temp_dir.mkdir(parents=True, exist_ok=True)
         temp_file_path = temp_dir / file_name
+        logger.info(f"[download_and_upload_video_to_blob] Temp directory created - path: {temp_file_path}")
         print(f"[download_and_upload_video_to_blob] Temp directory created - path: {temp_file_path}")
 
         # 영상 파일 다운로드
+        logger.info(f"[download_and_upload_video_to_blob] Downloading video - task_id: {task_id}, url: {video_url}")
         print(f"[download_and_upload_video_to_blob] Downloading video - task_id: {task_id}, url: {video_url}")
-        async with httpx.AsyncClient() as client:
+
-            response = await client.get(video_url, timeout=180.0)
+        content = await _download_video(video_url, task_id)
-            response.raise_for_status()
 
         async with aiofiles.open(str(temp_file_path), "wb") as f:
-                await f.write(response.content)
+            await f.write(content)
+
+        logger.info(f"[download_and_upload_video_to_blob] File downloaded - task_id: {task_id}, path: {temp_file_path}")
         print(f"[download_and_upload_video_to_blob] File downloaded - task_id: {task_id}, path: {temp_file_path}")
 
         # Azure Blob Storage에 업로드
@@ -63,51 +160,41 @@ async def download_and_upload_video_to_blob(
 
         # SAS 토큰이 제외된 public_url 사용
         blob_url = uploader.public_url
+        logger.info(f"[download_and_upload_video_to_blob] Uploaded to Blob - task_id: {task_id}, url: {blob_url}")
         print(f"[download_and_upload_video_to_blob] Uploaded to Blob - task_id: {task_id}, url: {blob_url}")
 
-        # Video 테이블 업데이트 (새 세션 사용)
+        # Video 테이블 업데이트
-        async with BackgroundSessionLocal() as session:
+        await _update_video_status(task_id, "completed", blob_url)
-            # 여러 개 있을 경우 가장 최근 것 선택
+        logger.info(f"[download_and_upload_video_to_blob] SUCCESS - task_id: {task_id}")
-            result = await session.execute(
+        print(f"[download_and_upload_video_to_blob] SUCCESS - task_id: {task_id}")
-                select(Video)
-                .where(Video.task_id == task_id)
-                .order_by(Video.created_at.desc())
-                .limit(1)
-            )
-            video = result.scalar_one_or_none()
 
-            if video:
+    except httpx.HTTPError as e:
-                video.status = "completed"
+        logger.error(f"[download_and_upload_video_to_blob] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                video.result_movie_url = blob_url
+        print(f"[download_and_upload_video_to_blob] DOWNLOAD ERROR - task_id: {task_id}, error: {e}")
-                await session.commit()
+        traceback.print_exc()
-                print(f"[download_and_upload_video_to_blob] SUCCESS - task_id: {task_id}, status: completed")
+        await _update_video_status(task_id, "failed")
-            else:
+
-                print(f"[download_and_upload_video_to_blob] Video NOT FOUND in DB - task_id: {task_id}")
+    except SQLAlchemyError as e:
+        logger.error(f"[download_and_upload_video_to_blob] DB ERROR - task_id: {task_id}, error: {e}")
+        print(f"[download_and_upload_video_to_blob] DB ERROR - task_id: {task_id}, error: {e}")
+        traceback.print_exc()
+        await _update_video_status(task_id, "failed")
 
     except Exception as e:
+        logger.error(f"[download_and_upload_video_to_blob] EXCEPTION - task_id: {task_id}, error: {e}")
         print(f"[download_and_upload_video_to_blob] EXCEPTION - task_id: {task_id}, error: {e}")
-        # 실패 시 Video 테이블 업데이트
+        traceback.print_exc()
-        async with BackgroundSessionLocal() as session:
+        await _update_video_status(task_id, "failed")
-            result = await session.execute(
-                select(Video)
-                .where(Video.task_id == task_id)
-                .order_by(Video.created_at.desc())
-                .limit(1)
-            )
-            video = result.scalar_one_or_none()
-
-            if video:
-                video.status = "failed"
-                await session.commit()
-                print(f"[download_and_upload_video_to_blob] FAILED - task_id: {task_id}, status updated to failed")
 
     finally:
         # 임시 파일 삭제
         if temp_file_path and temp_file_path.exists():
             try:
                 temp_file_path.unlink()
+                logger.info(f"[download_and_upload_video_to_blob] Temp file deleted - path: {temp_file_path}")
                 print(f"[download_and_upload_video_to_blob] Temp file deleted - path: {temp_file_path}")
             except Exception as e:
+                logger.warning(f"[download_and_upload_video_to_blob] Failed to delete temp file: {e}")
                 print(f"[download_and_upload_video_to_blob] Failed to delete temp file: {e}")
 
         # 임시 디렉토리 삭제 시도
@@ -131,6 +218,7 @@ async def download_and_upload_video_by_creatomate_render_id(
         video_url: 다운로드할 영상 URL
         store_name: 저장할 파일명에 사용할 업체명
     """
+    logger.info(f"[download_and_upload_video_by_creatomate_render_id] START - creatomate_render_id: {creatomate_render_id}, store_name: {store_name}")
     print(f"[download_and_upload_video_by_creatomate_render_id] START - creatomate_render_id: {creatomate_render_id}, store_name: {store_name}")
     temp_file_path: Path | None = None
     task_id: str | None = None
@@ -147,10 +235,12 @@ async def download_and_upload_video_by_creatomate_render_id(
             video = result.scalar_one_or_none()
 
             if not video:
+                logger.warning(f"[download_and_upload_video_by_creatomate_render_id] Video NOT FOUND - creatomate_render_id: {creatomate_render_id}")
                 print(f"[download_and_upload_video_by_creatomate_render_id] Video NOT FOUND - creatomate_render_id: {creatomate_render_id}")
                 return
 
             task_id = video.task_id
+            logger.info(f"[download_and_upload_video_by_creatomate_render_id] Video found - creatomate_render_id: {creatomate_render_id}, task_id: {task_id}")
             print(f"[download_and_upload_video_by_creatomate_render_id] Video found - creatomate_render_id: {creatomate_render_id}, task_id: {task_id}")
 
         # 파일명에 사용할 수 없는 문자 제거
@@ -164,16 +254,19 @@ async def download_and_upload_video_by_creatomate_render_id(
         temp_dir = Path("media") / "temp" / task_id
         temp_dir.mkdir(parents=True, exist_ok=True)
         temp_file_path = temp_dir / file_name
+        logger.info(f"[download_and_upload_video_by_creatomate_render_id] Temp directory created - path: {temp_file_path}")
         print(f"[download_and_upload_video_by_creatomate_render_id] Temp directory created - path: {temp_file_path}")
 
         # 영상 파일 다운로드
+        logger.info(f"[download_and_upload_video_by_creatomate_render_id] Downloading video - creatomate_render_id: {creatomate_render_id}, url: {video_url}")
         print(f"[download_and_upload_video_by_creatomate_render_id] Downloading video - creatomate_render_id: {creatomate_render_id}, url: {video_url}")
-        async with httpx.AsyncClient() as client:
+
-            response = await client.get(video_url, timeout=180.0)
+        content = await _download_video(video_url, task_id)
-            response.raise_for_status()
 
         async with aiofiles.open(str(temp_file_path), "wb") as f:
-                await f.write(response.content)
+            await f.write(content)
+
+        logger.info(f"[download_and_upload_video_by_creatomate_render_id] File downloaded - creatomate_render_id: {creatomate_render_id}, path: {temp_file_path}")
         print(f"[download_and_upload_video_by_creatomate_render_id] File downloaded - creatomate_render_id: {creatomate_render_id}, path: {temp_file_path}")
 
         # Azure Blob Storage에 업로드
@@ -185,51 +278,49 @@ async def download_and_upload_video_by_creatomate_render_id(
 
         # SAS 토큰이 제외된 public_url 사용
         blob_url = uploader.public_url
+        logger.info(f"[download_and_upload_video_by_creatomate_render_id] Uploaded to Blob - creatomate_render_id: {creatomate_render_id}, url: {blob_url}")
         print(f"[download_and_upload_video_by_creatomate_render_id] Uploaded to Blob - creatomate_render_id: {creatomate_render_id}, url: {blob_url}")
 
-        # Video 테이블 업데이트 (새 세션 사용)
+        # Video 테이블 업데이트
-        async with BackgroundSessionLocal() as session:
+        await _update_video_status(
-            result = await session.execute(
+            task_id=task_id,
-                select(Video)
+            status="completed",
-                .where(Video.creatomate_render_id == creatomate_render_id)
+            video_url=blob_url,
-                .order_by(Video.created_at.desc())
+            creatomate_render_id=creatomate_render_id,
-                .limit(1)
         )
-            video = result.scalar_one_or_none()
+        logger.info(f"[download_and_upload_video_by_creatomate_render_id] SUCCESS - creatomate_render_id: {creatomate_render_id}")
+        print(f"[download_and_upload_video_by_creatomate_render_id] SUCCESS - creatomate_render_id: {creatomate_render_id}")
 
-            if video:
+    except httpx.HTTPError as e:
-                video.status = "completed"
+        logger.error(f"[download_and_upload_video_by_creatomate_render_id] DOWNLOAD ERROR - creatomate_render_id: {creatomate_render_id}, error: {e}")
-                video.result_movie_url = blob_url
+        print(f"[download_and_upload_video_by_creatomate_render_id] DOWNLOAD ERROR - creatomate_render_id: {creatomate_render_id}, error: {e}")
-                await session.commit()
+        traceback.print_exc()
-                print(f"[download_and_upload_video_by_creatomate_render_id] SUCCESS - creatomate_render_id: {creatomate_render_id}, status: completed")
+        if task_id:
-            else:
+            await _update_video_status(task_id, "failed", creatomate_render_id=creatomate_render_id)
-                print(f"[download_and_upload_video_by_creatomate_render_id] Video NOT FOUND in DB - creatomate_render_id: {creatomate_render_id}")
+
+    except SQLAlchemyError as e:
+        logger.error(f"[download_and_upload_video_by_creatomate_render_id] DB ERROR - creatomate_render_id: {creatomate_render_id}, error: {e}")
+        print(f"[download_and_upload_video_by_creatomate_render_id] DB ERROR - creatomate_render_id: {creatomate_render_id}, error: {e}")
+        traceback.print_exc()
+        if task_id:
+            await _update_video_status(task_id, "failed", creatomate_render_id=creatomate_render_id)
 
     except Exception as e:
+        logger.error(f"[download_and_upload_video_by_creatomate_render_id] EXCEPTION - creatomate_render_id: {creatomate_render_id}, error: {e}")
         print(f"[download_and_upload_video_by_creatomate_render_id] EXCEPTION - creatomate_render_id: {creatomate_render_id}, error: {e}")
-        # 실패 시 Video 테이블 업데이트
+        traceback.print_exc()
         if task_id:
-            async with BackgroundSessionLocal() as session:
+            await _update_video_status(task_id, "failed", creatomate_render_id=creatomate_render_id)
-                result = await session.execute(
-                    select(Video)
-                    .where(Video.creatomate_render_id == creatomate_render_id)
-                    .order_by(Video.created_at.desc())
-                    .limit(1)
-                )
-                video = result.scalar_one_or_none()
-
-                if video:
-                    video.status = "failed"
-                    await session.commit()
-                    print(f"[download_and_upload_video_by_creatomate_render_id] FAILED - creatomate_render_id: {creatomate_render_id}, status updated to failed")
 
     finally:
         # 임시 파일 삭제
         if temp_file_path and temp_file_path.exists():
             try:
                 temp_file_path.unlink()
+                logger.info(f"[download_and_upload_video_by_creatomate_render_id] Temp file deleted - path: {temp_file_path}")
                 print(f"[download_and_upload_video_by_creatomate_render_id] Temp file deleted - path: {temp_file_path}")
             except Exception as e:
+                logger.warning(f"[download_and_upload_video_by_creatomate_render_id] Failed to delete temp file: {e}")
                 print(f"[download_and_upload_video_by_creatomate_render_id] Failed to delete temp file: {e}")
 
         # 임시 디렉토리 삭제 시도

docs/analysis/async_architecture_design_report.md

@@ -31,7 +31,6 @@ O2O-CASTAD Backend는 FastAPI 기반의 비동기 백엔드 서비스로, AI 기
 
 | 영역 | 개선 전 | 개선 후 | 개선율 |
 |------|---------|---------|--------|
-| DB 쿼리 실행 | 순차 (200ms) | 병렬 (55ms) | **72% 감소** |
 | 템플릿 API 호출 | 매번 호출 (1-2s) | 캐시 HIT (0ms) | **100% 감소** |
 | HTTP 클라이언트 | 매번 생성 (50ms) | 풀 재사용 (0ms) | **100% 감소** |
 | 세션 타임아웃 에러 | 빈번 | 해결 | **안정성 확보** |
@@ -41,7 +40,7 @@ O2O-CASTAD Backend는 FastAPI 기반의 비동기 백엔드 서비스로, AI 기
 1. **이중 커넥션 풀 아키텍처**: 요청/백그라운드 분리
 2. **명시적 세션 라이프사이클**: 외부 API 호출 전 세션 해제
 3. **모듈 레벨 싱글톤**: HTTP 클라이언트 및 템플릿 캐시
-4. **asyncio.gather() 기반 병렬 쿼리**: 다중 테이블 동시 조회
+4. **순차 쿼리 실행**: AsyncSession 제약으로 단일 세션 내 병렬 쿼리 불가
 
 ---
 
@@ -78,7 +77,7 @@ engine = create_async_engine(
     pool_size=20,              # 기본 풀 크기
     max_overflow=20,           # 추가 연결 허용
     pool_timeout=30,           # 연결 대기 최대 시간
-    pool_recycle=3600,         # 1시간마다 연결 재생성
+    pool_recycle=280,          # MySQL wait_timeout 보다 짧게 설정
     pool_pre_ping=True,        # 연결 유효성 검사 (핵심!)
     pool_reset_on_return="rollback",  # 반환 시 롤백
 )
@@ -89,8 +88,9 @@ background_engine = create_async_engine(
     pool_size=10,              # 더 작은 풀
     max_overflow=10,
     pool_timeout=60,           # 백그라운드는 대기 여유
-    pool_recycle=3600,
+    pool_recycle=280,          # MySQL wait_timeout 보다 짧게 설정
     pool_pre_ping=True,
+    pool_reset_on_return="rollback",  # 반환 시 롤백
 )
 ```
 
@@ -120,8 +120,10 @@ async def get_item(
 async def generate_video(task_id: str):
     # 1단계: 명시적 세션 열기 → DB 작업 → 세션 닫기
     async with AsyncSessionLocal() as session:
-        # 병렬 쿼리 실행
+        # 순차 쿼리 실행 (AsyncSession은 병렬 쿼리 미지원)
-        results = await asyncio.gather(...)
+        project = await session.execute(select(Project).where(...))
+        lyric = await session.execute(select(Lyric).where(...))
+        song = await session.execute(select(Song).where(...))
         # 초기 데이터 저장
         await session.commit()
     # 세션 닫힘 (async with 블록 종료)
@@ -193,38 +195,47 @@ async def generate_video():
 
 ## 3. 비동기 처리 패턴
 
-### 3.1 asyncio.gather() 병렬 쿼리
+### 3.1 순차 쿼리 실행 (AsyncSession 제약)
 
 **위치**: `app/video/api/routers/v1/video.py`
 
+> **중요**: SQLAlchemy AsyncSession은 단일 세션에서 동시에 여러 쿼리를 실행하는 것을 지원하지 않습니다.
+> `asyncio.gather()`로 병렬 쿼리를 실행하면 세션 상태 충돌이 발생합니다.
+
 ```python
-# 4개의 독립적인 쿼리를 병렬로 실행
+# 순차 쿼리 실행: Project, Lyric, Song, Image
-project_result, lyric_result, song_result, image_result = (
+# Note: AsyncSession은 동일 세션에서 병렬 쿼리를 지원하지 않음
-    await asyncio.gather(
+
-        session.execute(project_query),
+# Project 조회
-        session.execute(lyric_query),
+project_result = await session.execute(
-        session.execute(song_query),
+    select(Project).where(Project.task_id == task_id)
-        session.execute(image_query),
+    .order_by(Project.created_at.desc()).limit(1)
-    )
+)
+
+# Lyric 조회
+lyric_result = await session.execute(
+    select(Lyric).where(Lyric.task_id == task_id)
+    .order_by(Lyric.created_at.desc()).limit(1)
+)
+
+# Song 조회
+song_result = await session.execute(
+    select(Song).where(Song.task_id == task_id)
+    .order_by(Song.created_at.desc()).limit(1)
+)
+
+# Image 조회
+image_result = await session.execute(
+    select(Image).where(Image.task_id == task_id)
+    .order_by(Image.img_order.asc())
 )
 ```
 
-**성능 비교:**
+**AsyncSession 병렬 쿼리 제약 사항:**
-```
-[순차 실행]
-Query 1 ──────▶ 50ms
-              Query 2 ──────▶ 50ms
-                            Query 3 ──────▶ 50ms
-                                          Query 4 ──────▶ 50ms
-총 소요시간: 200ms
 
-[병렬 실행]
+- 단일 세션 내에서 `asyncio.gather()`로 여러 쿼리 동시 실행 불가
-Query 1 ──────▶ 50ms
+- 세션 상태 충돌 및 예기치 않은 동작 발생 가능
-Query 2 ──────▶ 50ms
+- 병렬 쿼리가 필요한 경우 별도의 세션을 각각 생성해야 함
-Query 3 ──────▶ 50ms
-Query 4 ──────▶ 50ms
-총 소요시간: ~55ms (가장 느린 쿼리 + 오버헤드)
-```
 
 ### 3.2 FastAPI BackgroundTasks 활용
 
@@ -553,7 +564,6 @@ query = (
 
 | 요소 | 구현 | 효과 |
 |------|------|------|
-| asyncio.gather() | 병렬 쿼리 | 72% 응답 시간 단축 |
 | 템플릿 캐싱 | TTL 기반 메모리 캐시 | API 호출 100% 감소 |
 | HTTP 클라이언트 풀 | 싱글톤 패턴 | 커넥션 재사용 |
 | N+1 해결 | IN 절 배치 조회 | 쿼리 수 N→2 감소 |
@@ -721,7 +731,7 @@ async def generate_video_with_lock(task_id: str):
 5. 영상 생성
    Client ─▶ GET /video/generate/{task_id}
                     │
-                    ├─ asyncio.gather() ─▶ DB(Project, Lyric, Song, Image)
+                    ├─ 순차 쿼리 ─▶ DB(Project, Lyric, Song, Image)
                     │
                     ├─ Creatomate API ─▶ render_id
                     │
@@ -750,7 +760,7 @@ async def generate_video_with_lock(task_id: str):
 O2O-CASTAD Backend는 **프로덕션 준비 수준의 비동기 아키텍처**를 갖추고 있습니다:
 
 1. **안정성**: 이중 커넥션 풀, pool_pre_ping, 명시적 세션 관리로 런타임 에러 최소화
-2. **성능**: 병렬 쿼리, 캐싱, HTTP 클라이언트 풀링으로 응답 시간 최적화
+2. **성능**: 캐싱, HTTP 클라이언트 풀링으로 응답 시간 최적화
 3. **확장성**: 백그라운드 태스크 분리, 폴링 패턴으로 부하 분산
 4. **유지보수성**: 일관된 패턴, 구조화된 로깅, 타입 힌트
 
@@ -761,7 +771,6 @@ O2O-CASTAD Backend는 **프로덕션 준비 수준의 비동기 아키텍처**
 │                    BEFORE → AFTER                            │
 ├─────────────────────────────────────────────────────────────┤
 │  Session Timeout Errors    │  Frequent  →  Resolved         │
-│  DB Query Time             │  200ms     →  55ms (72%↓)     │
 │  Template API Calls        │  Every req →  Cached (100%↓)  │
 │  HTTP Client Overhead      │  50ms/req  →  0ms (100%↓)     │
 │  N+1 Query Problem         │  N queries →  2 queries        │

docs/analysis/lang_report.md

@@ -125,7 +125,7 @@ Generate lyrics now:""")
 ])
 
 # 체인 구성
-lyric_chain = LYRIC_PROMPT | ChatOpenAI(model="gpt-4o-mini") | StrOutputParser()
+lyric_chain = LYRIC_PROMPT | ChatOpenAI(model="gpt-5-mini-mini") | StrOutputParser()
 
 # 사용
 result = await lyric_chain.ainvoke({
@@ -234,7 +234,7 @@ parser = PydanticOutputParser(pydantic_object=LyricOutput)
 # 자동 수정 파서 (파싱 실패 시 LLM으로 재시도)
 fixing_parser = OutputFixingParser.from_llm(
     parser=parser,
-    llm=ChatOpenAI(model="gpt-4o-mini")
+    llm=ChatOpenAI(model="gpt-5-mini-mini")
 )
 
 # 프롬프트에 포맷 지시 추가
@@ -1034,7 +1034,7 @@ async def generate_lyrics_with_rag(
 """)
     ])
 
-    chain = rag_prompt | ChatOpenAI(model="gpt-4o") | StrOutputParser()
+    chain = rag_prompt | ChatOpenAI(model="gpt-5-mini") | StrOutputParser()
 
     result = await chain.ainvoke({
         "examples": examples_text,
@@ -1128,7 +1128,7 @@ async def enrich_lyrics_with_region_info(
 from langchain_openai import ChatOpenAI
 
 # Vision 모델로 이미지 분석
-vision_model = ChatOpenAI(model="gpt-4o")
+vision_model = ChatOpenAI(model="gpt-5-mini")
 
 # 이미지 분석 문서 구조
 class ImageAnalysis(BaseModel):
@@ -1151,7 +1151,7 @@ image_store = Chroma(
 async def analyze_and_store_image(image_url: str, task_id: str):
     """이미지 분석 후 벡터 스토어에 저장"""
 
-    # GPT-4o Vision으로 이미지 분석
+    # gpt-5-mini Vision으로 이미지 분석
     analysis_response = await vision_model.ainvoke([
         {
             "type": "text",

docs/analysis/refactoring.md

@@ -801,7 +801,7 @@ from app.infrastructure.external.chatgpt.prompts import LYRICS_PROMPT_TEMPLATE
 class ChatGPTClient(ILLMClient):
     """ChatGPT 클라이언트 구현"""
 
-    def __init__(self, api_key: str, model: str = "gpt-4o"):
+    def __init__(self, api_key: str, model: str = "gpt-5-mini"):
         self._client = AsyncOpenAI(api_key=api_key)
         self._model = model
 
@@ -956,7 +956,7 @@ def get_chatgpt_client(
 ) -> ChatGPTClient:
     return ChatGPTClient(
         api_key=settings.CHATGPT_API_KEY,
-        model="gpt-4o"
+        model="gpt-5-mini"
     )
 
 def get_suno_client(

poc/crawling/2026-01-12/main-PwScraper.py

@@ -0,0 +1,29 @@
+import asyncio
+from nvMapScraper import nvMapScraper
+from nvMapPwScraper import nvMapPwScraper
+
+async def main_function():
+    await nvMapPwScraper.initiate_scraper()
+    selected = {'title': '<b>스테이</b>,<b>머뭄</b>',
+                    'link': 'https://www.instagram.com/staymeomoom',
+                    'category': '숙박>펜션',
+                    'description': '',
+                    'telephone': '',
+                    'address': '전북특별자치도 군산시 신흥동 63-18',
+                    'roadAddress': '전북특별자치도 군산시 절골길 18',
+                    'mapx': '1267061254',
+                    'mapy': '359864175',
+                    'lng': 126.7061254,
+                    'lat': 35.9864175}
+    
+    async with nvMapPwScraper() as pw_scraper:
+        new_url = await pw_scraper.get_place_id_url(selected)
+
+    print(new_url)
+    nv_scraper = nvMapScraper(new_url) # 이후 동일한 플로우
+    await nv_scraper.scrap()
+    print(nv_scraper.rawdata)
+    return
+
+print("running main_funtion..")
+asyncio.run(main_function())

poc/crawling/2026-01-12/nvMapPwScraper.py

@@ -0,0 +1,113 @@
+import asyncio
+from playwright.async_api import async_playwright
+from urllib import parse
+
+class nvMapPwScraper():
+    # cls vars
+    is_ready = False
+    _playwright = None
+    _browser = None
+    _context = None
+    _win_width = 1280
+    _win_height = 720
+    _max_retry = 30 # place id timeout threshold seconds
+    
+    # instance var
+    page = None
+
+    @classmethod
+    def default_context_builder(cls):
+        context_builder_dict = {}
+        context_builder_dict['viewport'] = {
+                'width' : cls._win_width,
+                'height' : cls._win_height
+        }
+        context_builder_dict['screen'] = {
+                'width' : cls._win_width,
+                'height' : cls._win_height
+        }
+        context_builder_dict['user_agent'] = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36"
+        context_builder_dict['locale'] = 'ko-KR'
+        context_builder_dict['timezone_id']='Asia/Seoul'
+
+        return context_builder_dict
+       
+    @classmethod
+    async def initiate_scraper(cls):
+        if not cls._playwright:
+            cls._playwright = await async_playwright().start()
+        if not cls._browser:
+            cls._browser = await cls._playwright.chromium.launch(headless=True)
+        if not cls._context:
+            cls._context = await cls._browser.new_context(**cls.default_context_builder())
+        cls.is_ready = True
+    
+    def __init__(self):
+        if not self.is_ready:
+            raise Exception("nvMapScraper is not initiated")
+
+    async def __aenter__(self):
+        await self.create_page()
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.page.close()
+        
+    async def create_page(self):
+        self.page = await self._context.new_page()
+        await self.page.add_init_script(
+'''const defaultGetter = Object.getOwnPropertyDescriptor(
+    Navigator.prototype,
+    "webdriver"
+).get;
+defaultGetter.apply(navigator);
+defaultGetter.toString();
+Object.defineProperty(Navigator.prototype, "webdriver", {
+    set: undefined,
+    enumerable: true,
+    configurable: true,
+    get: new Proxy(defaultGetter, {
+    apply: (target, thisArg, args) => {
+        Reflect.apply(target, thisArg, args);
+        return false;
+    },
+    }),
+});
+const patchedGetter = Object.getOwnPropertyDescriptor(
+    Navigator.prototype,
+    "webdriver"
+).get;
+patchedGetter.apply(navigator);
+patchedGetter.toString();''')
+
+        await self.page.set_extra_http_headers({
+            'sec-ch-ua': '\"Not?A_Brand\";v=\"99\", \"Chromium\";v=\"130\"'
+        })
+        await self.page.goto("http://google.com")
+        
+    async def goto_url(self, url, wait_until="domcontentloaded", timeout=20000):
+        page = self.page
+        await page.goto(url, wait_until=wait_until, timeout=timeout)
+
+    async def get_place_id_url(self, selected):
+        
+        title = selected['title'].replace("<b>", "").replace("</b>", "")
+        address = selected.get('roadAddress', selected['address']).replace("<b>", "").replace("</b>", "")
+        encoded_query = parse.quote(f"{address} {title}")
+        url = f"https://map.naver.com/p/search/{encoded_query}"
+
+        await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
+
+        if "/place/" in self.page.url:
+            return self.page.url
+
+        url = self.page.url.replace("?","?isCorrectAnswer=true&")
+        await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
+        
+        if "/place/" in self.page.url:
+            return self.page.url
+
+        if (count == self._max_retry / 2):
+            raise Exception("Failed to identify place id. loading timeout")
+        else:
+            raise Exception("Failed to identify place id. item is ambiguous")

poc/crawling/2026-01-12/nvMapScraper.py

@@ -0,0 +1,119 @@
+import re
+import aiohttp
+import json
+import asyncio
+import bs4
+
+PLACE_PATTERN = r"/place/(\d+)"
+GRAPHQL_URL = "https://pcmap-api.place.naver.com/graphql"
+NAVER_COOKIES="NAC=mQ7mBownbQf4A; NNB=TQPII6AKDBFGQ; PLACE_LANGUAGE=ko; NACT=1; nid_inf=1431570813; NID_AUT=k2T7FraXOdIMRCHzEZIFtHQup+I7b87M5fd7+p65AXZTdGB/gelRmW8s/Q4oDxm8; tooltipDisplayed=true; SRT30=1762660151; NID_SES=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; _naver_usersession_=Kkgzim/64JicPJzgkIIvqQ==; page_uid=jesTPsqVWUZssE4qJeossssssD0-011300; SRT5=1762662010; BUC=z5Fu3sAYtFwpbRDrrDFYdn4AgK5hNkOqX-DdaLU7VJM="
+
+OVERVIEW_QUERY = '''
+query getAccommodation($id: String!, $deviceType: String) {
+    business: placeDetail(input: {id: $id, isNx: true, deviceType: $deviceType}) {
+        base {
+            id
+            name
+            category
+            roadAddress
+            address
+            phone
+            virtualPhone
+            microReviews
+            conveniences
+            visitorReviewsTotal
+        }
+        images { images { origin url } }
+        cpImages(source: [ugcImage]) { images { origin url } }
+    }
+}'''
+
+REQUEST_HEADERS = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
+    "Referer": "https://map.naver.com/",
+    "Origin": "https://map.naver.com",
+    "Content-Type": "application/json",
+    "Cookie": NAVER_COOKIES
+}
+
+class GraphQLException(Exception):
+    pass
+
+class nvMapScraper():
+    url : str = None
+    scrap_type : str = None
+    rawdata : dict = None
+    image_link_list : list[str] = None
+    base_info : dict = None
+    
+
+    def __init__(self, url):
+        self.url = url
+
+    async def parse_url(self):
+        if 'place' not in self.url:
+            if 'naver.me' in self.url:
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(self.url) as response:
+                        self.url = str(response.url)
+            else:
+                raise GraphQLException("this shorten url not have place id")
+        try:
+            place_id = re.search(PLACE_PATTERN, self.url)[1]
+        except Exception as E:
+            raise GraphQLException("Cannot find place id")
+        
+        return place_id
+    
+    async def scrap(self):
+        try:
+            place_id = await self.parse_url()
+            data = await self.call_get_accomodation(place_id)
+            self.rawdata = data
+            fac_data = await self.get_facility_string(place_id)
+            self.rawdata['facilities'] = fac_data
+            self.image_link_list = [nv_image['origin'] for nv_image in data['data']['business']['images']['images']]
+            self.base_info = data['data']['business']['base']
+            self.facility_info = fac_data
+            self.scrap_type = "GraphQL"
+
+        except GraphQLException as G:
+            print (G)
+            print("fallback")
+            self.scrap_type = "Playwright"
+            pass # 나중에 pw 이용한 crawling으로 fallback 추가
+
+        return
+
+    async def call_get_accomodation(self, place_id):
+        payload = {
+            "operationName" : "getAccommodation",
+            "variables": { "id": place_id, "deviceType": "pc" },
+            "query": OVERVIEW_QUERY,
+        }
+        json_payload = json.dumps(payload)
+        
+        async with aiohttp.ClientSession() as session:
+            async with session.post(GRAPHQL_URL, data=json_payload, headers=REQUEST_HEADERS) as response:
+                response.encoding = 'utf-8'
+                if response.status == 200: # 요청 성공
+                    return await response.json() # await 주의
+                else: # 요청 실패
+                    print('실패 상태 코드:', response.status)
+                    print(response.text)
+                    raise Exception()
+                
+    async def get_facility_string(self, place_id):
+        url = f"https://pcmap.place.naver.com/accommodation/{place_id}/home"
+        async with aiohttp.ClientSession() as session:
+            async with session.get(url, headers=REQUEST_HEADERS) as response:
+                soup = bs4.BeautifulSoup(await response.read(), 'html.parser')
+                c_elem = soup.find('span', 'place_blind', string='편의')
+                facilities = c_elem.parent.parent.find('div').string
+        return facilities
+                
+# url = "https://naver.me/IgJGCCic"
+# scraper = nvMapScraper(url)
+# asyncio.run(scraper.scrap())
+# print(scraper.image_link_list)
+# print(len(scraper.image_link_list))

pyproject.toml

@@ -9,6 +9,7 @@ dependencies = [
     "aiohttp>=3.13.2",
     "aiomysql>=0.3.2",
     "asyncmy>=0.2.10",
+    "beautifulsoup4>=4.14.3",
     "fastapi-cli>=0.0.16",
     "fastapi[standard]>=0.125.0",
     "openai>=2.13.0",

uv.lock

@@ -157,6 +157,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
 ]
 
+[[package]]
+name = "beautifulsoup4"
+version = "4.14.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "soupsieve" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload-time = "2025-11-30T15:08:26.084Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.11.12"
@@ -751,6 +764,7 @@ dependencies = [
     { name = "aiohttp" },
     { name = "aiomysql" },
     { name = "asyncmy" },
+    { name = "beautifulsoup4" },
     { name = "fastapi", extra = ["standard"] },
     { name = "fastapi-cli" },
     { name = "openai" },
@@ -775,6 +789,7 @@ requires-dist = [
     { name = "aiohttp", specifier = ">=3.13.2" },
     { name = "aiomysql", specifier = ">=0.3.2" },
     { name = "asyncmy", specifier = ">=0.2.10" },
+    { name = "beautifulsoup4", specifier = ">=4.14.3" },
     { name = "fastapi", extras = ["standard"], specifier = ">=0.125.0" },
     { name = "fastapi-cli", specifier = ">=0.0.16" },
     { name = "openai", specifier = ">=2.13.0" },
@@ -1241,6 +1256,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
 ]
 
+[[package]]
+name = "soupsieve"
+version = "2.8.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/89/23/adf3796d740536d63a6fbda113d07e60c734b6ed5d3058d1e47fc0495e47/soupsieve-2.8.1.tar.gz", hash = "sha256:4cf733bc50fa805f5df4b8ef4740fc0e0fa6218cf3006269afd3f9d6d80fd350", size = 117856, upload-time = "2025-12-18T13:50:34.655Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/48/f3/b67d6ea49ca9154453b6d70b34ea22f3996b9fa55da105a79d8732227adc/soupsieve-2.8.1-py3-none-any.whl", hash = "sha256:a11fe2a6f3d76ab3cf2de04eb339c1be5b506a8a47f2ceb6d139803177f85434", size = 36710, upload-time = "2025-12-18T13:50:33.267Z" },
+]
+
 [[package]]
 name = "sqladmin"
 version = "0.22.0"