app/database/session.py

@@ -73,7 +73,7 @@ async def create_db_tables():
 
     # 모델 import (테이블 메타데이터 등록용)
     from app.user.models import User, RefreshToken, SocialAccount  # noqa: F401
-    from app.home.models import Image, Project, MarketingIntel  # noqa: F401
+    from app.home.models import Image, Project  # noqa: F401
     from app.lyric.models import Lyric  # noqa: F401
     from app.song.models import Song, SongTimestamp  # noqa: F401
     from app.video.models import Video  # noqa: F401
@@ -93,7 +93,6 @@ async def create_db_tables():
         Video.__table__,
         SNSUploadTask.__table__,
         SocialUpload.__table__,
-        MarketingIntel.__table__,
     ]
 
     logger.info("Creating database tables...")
@@ -126,9 +125,7 @@ async def get_session() -> AsyncGenerator[AsyncSession, None]:
         try:
             yield session
         except Exception as e:
-            import traceback
             await session.rollback()
-            logger.error(traceback.format_exc())
             logger.error(
                 f"[get_session] ROLLBACK - error: {type(e).__name__}: {e}, "
                 f"duration: {(time.perf_counter() - start_time)*1000:.1f}ms"

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

@@ -11,7 +11,7 @@ from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.database.session import get_session, AsyncSessionLocal
-from app.home.models import Image, MarketingIntel
+from app.home.models import Image
 from app.user.dependencies.auth import get_current_user
 from app.user.models import User
 from app.home.schemas.home_schema import (
@@ -153,10 +153,8 @@ def _extract_region_from_address(road_address: str | None) -> str:
     },
     tags=["Crawling"],
 )
-async def crawling(
+async def crawling(request_body: CrawlingRequest):
-    request_body: CrawlingRequest,
+    return await _crawling_logic(request_body.url)
-    session: AsyncSession = Depends(get_session)):
-    return await _crawling_logic(request_body.url, session)
 
 @router.post(
     "/autocomplete",
@@ -189,15 +187,11 @@ async def crawling(
     },
     tags=["Crawling"],
 )
-async def autocomplete_crawling(
+async def autocomplete_crawling(request_body: AutoCompleteRequest):
-    request_body: AutoCompleteRequest,
+    url = await _autocomplete_logic(request_body.dict())
-    session: AsyncSession = Depends(get_session)):
+    return await _crawling_logic(url)
-    url = await _autocomplete_logic(request_body.model_dump())
-    return await _crawling_logic(url, session)
 
-async def _crawling_logic(
+async def _crawling_logic(url:str):
-        url:str,
-        session: AsyncSession):
     request_start = time.perf_counter()
     logger.info("[crawling] ========== START ==========")
     logger.info(f"[crawling] URL: {url[:80]}...")
@@ -286,16 +280,7 @@ async def _crawling_logic(
             step3_3_start = time.perf_counter()
             structured_report = await chatgpt_service.generate_structured_output(
                 marketing_prompt, input_marketing_data
-            ) 
-            marketing_intelligence = MarketingIntel(
-                place_id = scraper.place_id,
-                intel_result = structured_report.model_dump()
             )
-            session.add(marketing_intelligence)
-            await session.commit()
-            await session.refresh(marketing_intelligence)
-            m_id = marketing_intelligence.id
-            logger.debug(f"[MarketingPrompt] INSERT placeid {marketing_intelligence.place_id}")
             step3_3_elapsed = (time.perf_counter() - step3_3_start) * 1000
             logger.info(
                 f"[crawling]   Step 3-3: GPT API 호출 완료 - ({step3_3_elapsed:.1f}ms)"
@@ -375,7 +360,6 @@ async def _crawling_logic(
         "image_count": len(scraper.image_link_list) if scraper.image_link_list else 0,
         "processed_info": processed_info,
         "marketing_analysis": marketing_analysis,
-        "m_id" : m_id
     }
 
 

app/home/models.py

@@ -7,9 +7,9 @@ Home 모듈 SQLAlchemy 모델 정의
 """
 
 from datetime import datetime
-from typing import TYPE_CHECKING, List, Optional, Any
+from typing import TYPE_CHECKING, List, Optional
 
-from sqlalchemy import Boolean, DateTime, ForeignKey, Index, Integer, String, Text, JSON, func
+from sqlalchemy import Boolean, DateTime, ForeignKey, Index, Integer, String, Text, func
 from sqlalchemy.orm import Mapped, mapped_column, relationship
 
 from app.database.session import Base
@@ -107,12 +107,6 @@ class Project(Base):
         comment="상세 지역 정보",
     )
 
-    marketing_intelligence: Mapped[Optional[str]] = mapped_column(
-        Integer,
-        nullable=True,
-        comment="마케팅 인텔리전스 결과 정보 저장",
-    )
-
     language: Mapped[str] = mapped_column(
         String(50),
         nullable=False,
@@ -255,66 +249,3 @@ class Image(Base):
         return (
             f"<Image(id={self.id}, task_id='{task_id_str}', img_name='{img_name_str}')>"
         )
-
-
-class MarketingIntel(Base):
-    """
-    마케팅 인텔리전스 결과물 테이블
-
-    마케팅 분석 결과물 저장합니다.
-
-    Attributes:
-        id: 고유 식별자 (자동 증가)
-        place_id : 데이터 소스별 식별자
-        intel_result : 마케팅 분석 결과물 json
-        created_at: 생성 일시 (자동 설정)
-    """
-
-    __tablename__ = "marketing"
-    __table_args__ = (
-        Index("idx_place_id", "place_id"),
-        {
-            "mysql_engine": "InnoDB",
-            "mysql_charset": "utf8mb4",
-            "mysql_collate": "utf8mb4_unicode_ci",
-        }
-    )
-
-    id: Mapped[int] = mapped_column(
-        Integer,
-        primary_key=True,
-        nullable=False,
-        autoincrement=True,
-        comment="고유 식별자",
-    )
-
-    place_id: Mapped[str] = mapped_column(
-        String(36),
-        nullable=False,
-        comment="매장 소스별 고유 식별자",
-    )
-
-    intel_result : Mapped[dict[str, Any]] = mapped_column(
-        JSON,
-        nullable=False,
-        comment="마케팅 인텔리전스 결과물",
-    )
-
-    created_at: Mapped[datetime] = mapped_column(
-        DateTime,
-        nullable=False,
-        server_default=func.now(),
-        comment="생성 일시",
-    )
-
-    def __repr__(self) -> str:
-        task_id_str = (
-            (self.task_id[:10] + "...") if len(self.task_id) > 10 else self.task_id
-        )
-        img_name_str = (
-            (self.img_name[:10] + "...") if len(self.img_name) > 10 else self.img_name
-        )
-
-        return (
-            f"<Image(id={self.id}, task_id='{task_id_str}', img_name='{img_name_str}')>"
-        )

app/home/schemas/home_schema.py

@@ -3,6 +3,112 @@ from typing import Literal, Optional
 from pydantic import BaseModel, ConfigDict, Field
 from app.utils.prompts.schemas import MarketingPromptOutput
 
+class AttributeInfo(BaseModel):
+    """음악 속성 정보"""
+
+    genre: str = Field(..., description="음악 장르")
+    vocal: str = Field(..., description="보컬 스타일")
+    tempo: str = Field(..., description="템포")
+    mood: str = Field(..., description="분위기")
+
+
+class GenerateRequestImg(BaseModel):
+    """이미지 URL 스키마"""
+
+    url: str = Field(..., description="이미지 URL")
+    name: Optional[str] = Field(None, description="이미지명 (없으면 URL에서 추출)")
+
+
+class GenerateRequestInfo(BaseModel):
+    """생성 요청 정보 스키마 (이미지 제외)"""
+
+    customer_name: str = Field(..., description="고객명/가게명")
+    region: str = Field(..., description="지역명")
+    detail_region_info: Optional[str] = Field(None, description="상세 지역 정보")
+    attribute: AttributeInfo = Field(..., description="음악 속성 정보")
+    language: str = Field(
+        default="Korean",
+        description="가사 출력 언어 (Korean, English, Chinese, Japanese, Thai, Vietnamese)",
+    )
+
+
+class GenerateRequest(GenerateRequestInfo):
+    """기본 생성 요청 스키마 (이미지 없음, JSON body)
+
+    이미지 없이 프로젝트 정보만 전달합니다.
+    """
+
+    model_config = ConfigDict(
+        json_schema_extra={
+            "example": {
+                "customer_name": "스테이 머뭄",
+                "region": "군산",
+                "detail_region_info": "군산 신흥동 말랭이 마을",
+                "attribute": {
+                    "genre": "K-Pop",
+                    "vocal": "Raspy",
+                    "tempo": "110 BPM",
+                    "mood": "happy",
+                },
+                "language": "Korean",
+            }
+        }
+    )
+
+
+class GenerateUrlsRequest(GenerateRequestInfo):
+    """URL 기반 생성 요청 스키마 (JSON body)
+
+    GenerateRequestInfo를 상속받아 이미지 목록을 추가합니다.
+    """
+
+    model_config = ConfigDict(
+        json_schema_extra={
+            "example": {
+                "customer_name": "스테이 머뭄",
+                "region": "군산",
+                "detail_region_info": "군산 신흥동 말랭이 마을",
+                "attribute": {
+                    "genre": "K-Pop",
+                    "vocal": "Raspy",
+                    "tempo": "110 BPM",
+                    "mood": "happy",
+                },
+                "language": "Korean",
+                "images": [
+                    {"url": "https://example.com/images/image_001.jpg"},
+                    {"url": "https://example.com/images/image_002.jpg", "name": "외관"},
+                ],
+            }
+        }
+    )
+
+    images: list[GenerateRequestImg] = Field(
+        ..., description="이미지 URL 목록", min_length=1
+    )
+
+
+class GenerateUploadResponse(BaseModel):
+    """파일 업로드 기반 생성 응답 스키마"""
+
+    task_id: str = Field(..., description="작업 고유 식별자 (UUID7)")
+    status: Literal["processing", "completed", "failed"] = Field(
+        ..., description="작업 상태"
+    )
+    message: str = Field(..., description="응답 메시지")
+    uploaded_count: int = Field(..., description="업로드된 이미지 개수")
+
+
+class GenerateResponse(BaseModel):
+    """생성 응답 스키마"""
+
+    task_id: str = Field(..., description="작업 고유 식별자 (UUID7)")
+    status: Literal["processing", "completed", "failed"] = Field(
+        ..., description="작업 상태"
+    )
+    message: str = Field(..., description="응답 메시지")
+
+
 class CrawlingRequest(BaseModel):
     """크롤링 요청 스키마"""
 
@@ -223,8 +329,7 @@ class CrawlingResponse(BaseModel):
                         "힐링스테이",
                         "스테이머뭄"
                     ]
-                },
+                }
-                "m_id" : 1
             }
         }
     )
@@ -241,7 +346,6 @@ class CrawlingResponse(BaseModel):
     marketing_analysis: Optional[MarketingPromptOutput] = Field(
         None, description="마케팅 분석 결과 . 실패 시 null"
     )
-    m_id : int = Field(..., description="마케팅 분석 결과 ID")
 
 
 class ErrorResponse(BaseModel):
@@ -265,6 +369,29 @@ class ImageUrlItem(BaseModel):
     name: Optional[str] = Field(None, description="이미지명 (없으면 URL에서 추출)")
 
 
+class ImageUploadRequest(BaseModel):
+    """이미지 업로드 요청 스키마 (JSON body 부분)
+
+    URL 이미지 목록을 전달합니다.
+    바이너리 파일은 multipart/form-data로 별도 전달됩니다.
+    """
+
+    model_config = ConfigDict(
+        json_schema_extra={
+            "example": {
+                "images": [
+                    {"url": "https://example.com/images/image_001.jpg"},
+                    {"url": "https://example.com/images/image_002.jpg", "name": "외관"},
+                ]
+            }
+        }
+    )
+
+    images: Optional[list[ImageUrlItem]] = Field(
+        None, description="외부 이미지 URL 목록"
+    )
+
+
 class ImageUploadResultItem(BaseModel):
     """업로드된 이미지 결과 아이템"""
 

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

@@ -30,7 +30,7 @@ from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.database.session import get_session
-from app.home.models import Project, MarketingIntel
+from app.home.models import Project
 from app.user.dependencies.auth import get_current_user
 from app.user.models import User
 from app.lyric.models import Lyric
@@ -48,7 +48,6 @@ from app.utils.pagination import PaginatedResponse, get_paginated
 
 from app.utils.prompts.prompts import lyric_prompt
 import traceback as tb
-import json
 # 로거 설정
 logger = get_logger("lyric")
 
@@ -279,19 +278,16 @@ async def generate_lyric(
                 Full verse flow, immersive mood
                 """
         }
-        marketing_intel_result = await session.execute(select(MarketingIntel).where(MarketingIntel.id == request_body.m_id))
-        marketing_intel = marketing_intel_result.scalar_one_or_none()
-        
-        
         lyric_input_data = {
             "customer_name" : request_body.customer_name,
             "region" : request_body.region,
             "detail_region_info" : request_body.detail_region_info or "",
-            "marketing_intelligence_summary" : json.dumps(marketing_intel.intel_result, ensure_ascii = False),
+            "marketing_intelligence_summary" : None, # task_idx 변경 후 marketing intelligence summary DB에 저장하고 사용할 필요가 있음
             "language" : request_body.language,
             "promotional_expression_example" : promotional_expressions[request_body.language],
             "timing_rules" : timing_rules["60s"], # 아직은 선택지 하나
         }
+        estimated_prompt = lyric_prompt.build_prompt(lyric_input_data) 
 
         step1_elapsed = (time.perf_counter() - step1_start) * 1000
         #logger.debug(f"[generate_lyric] Step 1 완료 - 프롬프트 {len(prompt)}자 ({step1_elapsed:.1f}ms)")
@@ -318,7 +314,6 @@ async def generate_lyric(
                 detail_region_info=request_body.detail_region_info,
                 language=request_body.language,
                 user_uuid=current_user.user_uuid,
-                marketing_intelligence = request_body.m_id
             )
             session.add(project)
             await session.commit()

app/lyric/schemas/lyric.py

@@ -41,8 +41,7 @@ class GenerateLyricRequest(BaseModel):
             "customer_name": "스테이 머뭄",
             "region": "군산",
             "detail_region_info": "군산 신흥동 말랭이 마을",
-            "language": "Korean",
+            "language": "Korean"
-            "m_id" : 1
         }
     """
 
@@ -54,7 +53,6 @@ class GenerateLyricRequest(BaseModel):
                 "region": "군산",
                 "detail_region_info": "군산 신흥동 말랭이 마을",
                 "language": "Korean",
-                "m_id" : 1
             }
         }
     )
@@ -69,7 +67,6 @@ class GenerateLyricRequest(BaseModel):
         default="Korean",
         description="가사 출력 언어 (Korean, English, Chinese, Japanese, Thai, Vietnamese)",
     )
-    m_id : Optional[int] = Field(None, description="마케팅 인텔리전스 ID 값")
 
 
 class GenerateLyricResponse(BaseModel):

app/sns/schemas/sns_schema.py

@@ -4,7 +4,7 @@ SNS API Schemas
 Instagram 업로드 관련 Pydantic 스키마를 정의합니다.
 """
 from datetime import datetime
-from typing import Optional
+from typing import Any, Optional
 
 
 from pydantic import BaseModel, ConfigDict, Field
@@ -98,6 +98,20 @@ class Media(BaseModel):
     children: Optional[list["Media"]] = None
 
 
+class MediaList(BaseModel):
+    """미디어 목록 응답"""
+
+    data: list[Media] = Field(default_factory=list)
+    paging: Optional[dict[str, Any]] = None
+
+    @property
+    def next_cursor(self) -> Optional[str]:
+        """다음 페이지 커서"""
+        if self.paging and "cursors" in self.paging:
+            return self.paging["cursors"].get("after")
+        return None
+
+
 class MediaContainer(BaseModel):
     """미디어 컨테이너 상태"""
 

app/social/api/routers/v1/__init__.py

@@ -4,5 +4,5 @@ Social API Routers v1
 
 from app.social.api.routers.v1.oauth import router as oauth_router
 from app.social.api.routers.v1.upload import router as upload_router
-from app.social.api.routers.v1.seo import router as seo_router
+
-__all__ = ["oauth_router", "upload_router", "seo_router"]
+__all__ = ["oauth_router", "upload_router"]

app/social/api/routers/v1/seo.py

@@ -1,131 +0,0 @@
-
-import logging, json
-
-from redis.asyncio import Redis
-
-from config import social_oauth_settings, db_settings
-from app.social.constants import YOUTUBE_SEO_HASH
-from sqlalchemy import select, func
-from sqlalchemy.ext.asyncio import AsyncSession
-from app.social.schemas import (
-    YoutubeDescriptionRequest,
-    YoutubeDescriptionResponse, 
-)
-
-from app.database.session import get_session
-from app.user.dependencies import get_current_user
-from app.user.models import User
-from app.home.models import Project, MarketingIntel
-from fastapi import APIRouter, BackgroundTasks, Depends, Query
-from fastapi import HTTPException, status
-from app.utils.prompts.prompts import yt_upload_prompt
-from app.utils.chatgpt_prompt import ChatgptService, ChatGPTResponseError
-
-redis_seo_client = Redis(
-    host=db_settings.REDIS_HOST,
-    port=db_settings.REDIS_PORT,
-    db=0,
-    decode_responses=True,
-)
-
-logger = logging.getLogger(__name__)
-router = APIRouter(prefix="/seo", tags=["Social SEO"])
-
-@router.post(
-    "/youtube",
-    response_model=YoutubeDescriptionResponse,
-    summary="유튜브 SEO descrption 생성",
-    description="유튜브 업로드 시 사용할 descrption을 SEO 적용하여 생성",
-)
-async def youtube_seo_description(
-        request_body: YoutubeDescriptionRequest,
-        current_user: User = Depends(get_current_user),
-        session: AsyncSession = Depends(get_session),
-        ) -> YoutubeDescriptionResponse:
-    
-    # TODO : 나중에 Session Task_id 검증 미들웨어 만들면 추가해주세요.
-
-    logger.info(
-        f"[youtube_seo_description] Try Cache - user: {current_user.user_uuid} / task_id : {request_body.task_id}"
-    )
-    cached = await get_yt_seo_in_redis(request_body.task_id)
-    if cached: # redis hit
-        return cached
-    
-    logger.info(
-        f"[youtube_seo_description] Cache miss - user: {current_user.user_uuid} "
-    )
-    updated_seo = await make_youtube_seo_description(request_body.task_id, current_user, session)
-    await set_yt_seo_in_redis(request_body.task_id, updated_seo)
-
-    return updated_seo
-
-async def make_youtube_seo_description(
-        task_id: str,
-        current_user: User,
-        session: AsyncSession,
-    ) -> YoutubeDescriptionResponse:
-    
-    logger.info(
-        f"[make_youtube_seo_description] START - user: {current_user.user_uuid} "
-    )
-    try:
-        project_query = await session.execute(
-            select(Project)
-            .where(
-                Project.task_id == task_id,
-                Project.user_uuid == current_user.user_uuid)
-               .order_by(Project.created_at.desc())
-            .limit(1)
-        )
-
-        project = project_query.scalar_one_or_none()
-        marketing_query = await session.execute(
-            select(MarketingIntel)
-            .where(MarketingIntel.id == project.marketing_intelligence)
-        )
-        marketing_intelligence = marketing_query.scalar_one_or_none()
-
-        hashtags = marketing_intelligence.intel_result["target_keywords"]
-        
-        yt_seo_input_data = {
-            "customer_name" : project.store_name,
-            "detail_region_info" : project.detail_region_info,
-            "marketing_intelligence_summary" : json.dumps(marketing_intelligence.intel_result, ensure_ascii=False),
-            "language" : project.language,
-            "target_keywords" : hashtags
-        }
-        chatgpt = ChatgptService()
-        yt_seo_output = await chatgpt.generate_structured_output(yt_upload_prompt, yt_seo_input_data)
-        result_dict = {
-            "title" : yt_seo_output.title,
-            "description" : yt_seo_output.description,
-            "keywords": hashtags
-        }
-
-        result = YoutubeDescriptionResponse(**result_dict)
-        return result
-
-    except Exception as e:
-        logger.error(f"[youtube_seo_description] EXCEPTION - error: {e}")
-        raise HTTPException(
-            status_code=500,
-            detail=f"유튜브 SEO 생성에 실패했습니다. : {str(e)}",
-        )
-    
-
-async def get_yt_seo_in_redis(task_id:str) -> YoutubeDescriptionResponse | None:
-    field = f"task_id:{task_id}"
-    yt_seo_info = await redis_seo_client.hget(YOUTUBE_SEO_HASH, field)
-    if yt_seo_info:
-        yt_seo = json.loads(yt_seo_info)
-    else:
-        return None
-    return YoutubeDescriptionResponse(**yt_seo)
-
-async def set_yt_seo_in_redis(task_id:str, yt_seo : YoutubeDescriptionResponse) -> None:
-    field = f"task_id:{task_id}"
-    yt_seo_info = json.dumps(yt_seo.model_dump(), ensure_ascii=False)
-    await redis_seo_client.hsetex(YOUTUBE_SEO_HASH, field, yt_seo_info, ex=3600)
-    return
-

app/social/api/routers/v1/upload.py

@@ -4,11 +4,10 @@
 소셜 미디어 영상 업로드 관련 엔드포인트를 제공합니다.
 """
 
-import logging, json
+import logging
 from typing import Optional
 
 from fastapi import APIRouter, BackgroundTasks, Depends, Query
-from fastapi import HTTPException, status
 from sqlalchemy import select, func
 from sqlalchemy.ext.asyncio import AsyncSession
 
@@ -404,12 +403,16 @@ async def cancel_upload(
     upload = result.scalar_one_or_none()
 
     if not upload:
+        from fastapi import HTTPException, status
+
         raise HTTPException(
             status_code=status.HTTP_404_NOT_FOUND,
             detail="업로드 정보를 찾을 수 없습니다.",
         )
 
     if upload.status != UploadStatus.PENDING.value:
+        from fastapi import HTTPException, status
+
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail="대기 중인 업로드만 취소할 수 있습니다.",
@@ -421,4 +424,4 @@ async def cancel_upload(
     return MessageResponse(
         success=True,
         message="업로드가 취소되었습니다.",
-    )
+    )

app/social/constants.py

@@ -94,8 +94,6 @@ YOUTUBE_SCOPES = [
     "https://www.googleapis.com/auth/userinfo.profile",  # 사용자 프로필
 ]
 
-YOUTUBE_SEO_HASH = "SEO_Describtion_YT"
-
 # =============================================================================
 # Instagram/Facebook OAuth Scopes (추후 구현)
 # =============================================================================

app/social/schemas.py

@@ -276,32 +276,6 @@ class SocialUploadHistoryResponse(BaseModel):
         }
     )
 
-class YoutubeDescriptionRequest(BaseModel):
-    """유튜브 SEO Description 제안 (자동완성) Request 모델"""
-
-    model_config = ConfigDict(
-        json_schema_extra={
-            "example": {
-                "task_id" :  "019c739f-65fc-7d15-8c88-b31be00e588e"
-            }
-        }
-    )
-    task_id: str = Field(..., description="작업 고유 식별자")
-
-class YoutubeDescriptionResponse(BaseModel):
-    """유튜브 SEO Description 제안 (자동완성) Response 모델"""
-    title:str = Field(..., description="유튜브 영상 제목 - SEO/AEO 최적화")
-    description : str = Field(..., description="제안된 유튜브 SEO Description")
-    keywords : list[str] = Field(..., description="해시태그 리스트")
-    model_config = ConfigDict(
-        json_schema_extra={
-            "example": {
-                "title" : "여기에 더미 타이틀",
-                "description": "여기에 더미 텍스트",
-                "keywords": ["여기에", "더미", "해시태그"]
-            }
-        }
-    )
 
 # =============================================================================
 # 공통 응답 스키마

app/song/schemas/song_schema.py

@@ -1,5 +1,8 @@
-from typing import Optional
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
 
+from fastapi import Request
 from pydantic import BaseModel, Field
 
 
@@ -104,6 +107,21 @@ class GenerateSongResponse(BaseModel):
     error_message: Optional[str] = Field(None, description="에러 메시지 (실패 시)")
 
 
+class PollingSongRequest(BaseModel):
+    """노래 생성 상태 조회 요청 스키마 (Legacy)
+
+    Note:
+        현재 사용되지 않음. GET /song/status/{song_id} 엔드포인트 사용.
+
+    Example Request:
+        {
+            "task_id": "abc123..."
+        }
+    """
+
+    task_id: str = Field(..., description="Suno 작업 ID")
+
+
 class SongClipData(BaseModel):
     """생성된 노래 클립 정보"""
 
@@ -216,3 +234,94 @@ class PollingSongResponse(BaseModel):
     song_result_url: Optional[str] = Field(
         None, description="노래 결과 URL (Song 테이블 status가 completed일 때 반환)"
     )
+
+
+# =============================================================================
+# Dataclass Schemas (Legacy)
+# =============================================================================
+
+
+@dataclass
+class StoreData:
+    id: int
+    created_at: datetime
+    store_name: str
+    store_category: str | None = None
+    store_region: str | None = None
+    store_address: str | None = None
+    store_phone_number: str | None = None
+    store_info: str | None = None
+
+
+@dataclass
+class AttributeData:
+    id: int
+    attr_category: str
+    attr_value: str
+    created_at: datetime
+
+
+@dataclass
+class SongSampleData:
+    id: int
+    ai: str
+    ai_model: str
+    sample_song: str
+    season: str | None = None
+    num_of_people: int | None = None
+    people_category: str | None = None
+    genre: str | None = None
+
+
+@dataclass
+class PromptTemplateData:
+    id: int
+    prompt: str
+    description: str | None = None
+
+
+@dataclass
+class SongFormData:
+    store_name: str
+    store_id: str
+    prompts: str
+    attributes: Dict[str, str] = field(default_factory=dict)
+    attributes_str: str = ""
+    lyrics_ids: List[int] = field(default_factory=list)
+    llm_model: str = "gpt-5-mini"
+
+    @classmethod
+    async def from_form(cls, request: Request):
+        """Request의 form 데이터로부터 dataclass 인스턴스 생성"""
+        form_data = await request.form()
+
+        # 고정 필드명들
+        fixed_keys = {"store_info_name", "store_id", "llm_model", "prompts"}
+
+        # lyrics-{id} 형태의 모든 키를 찾아서 ID 추출
+        lyrics_ids = []
+        attributes = {}
+
+        for key, value in form_data.items():
+            if key.startswith("lyrics-"):
+                lyrics_id = key.split("-")[1]
+                lyrics_ids.append(int(lyrics_id))
+            elif key not in fixed_keys:
+                attributes[key] = value
+
+        # attributes를 문자열로 변환
+        attributes_str = (
+            "\r\n\r\n".join([f"{key} : {value}" for key, value in attributes.items()])
+            if attributes
+            else ""
+        )
+
+        return cls(
+            store_name=form_data.get("store_info_name", ""),
+            store_id=form_data.get("store_id", ""),
+            attributes=attributes,
+            attributes_str=attributes_str,
+            lyrics_ids=lyrics_ids,
+            llm_model=form_data.get("llm_model", "gpt-5-mini"),
+            prompts=form_data.get("prompts", ""),
+        )

app/user/api/routers/v1/auth.py

@@ -23,6 +23,7 @@ logger = logging.getLogger(__name__)
 from app.user.dependencies import get_current_user
 from app.user.models import RefreshToken, User
 from app.user.schemas.user_schema import (
+    AccessTokenResponse,
     KakaoCodeRequest,
     KakaoLoginResponse,
     LoginResponse,
@@ -254,16 +255,10 @@ async def refresh_token(
     유효한 리프레시 토큰을 제출하면 새 액세스 토큰과 새 리프레시 토큰을 발급합니다.
     사용된 기존 리프레시 토큰은 즉시 폐기(revoke)됩니다.
     """
-    logger.info(f"[ROUTER] POST /auth/refresh - token: ...{body.refresh_token[-20:]}")
+    return await auth_service.refresh_tokens(
-    result = await auth_service.refresh_tokens(
         refresh_token=body.refresh_token,
         session=session,
     )
-    logger.info(
-        f"[ROUTER] POST /auth/refresh 완료 - new_access: ...{result.access_token[-20:]}, "
-        f"new_refresh: ...{result.refresh_token[-20:]}"
-    )
-    return result
 
 
 @router.post(
@@ -287,16 +282,11 @@ async def logout(
     현재 사용 중인 리프레시 토큰을 폐기합니다.
     해당 토큰으로는 더 이상 액세스 토큰을 갱신할 수 없습니다.
     """
-    logger.info(
-        f"[ROUTER] POST /auth/logout - user_id: {current_user.id}, "
-        f"user_uuid: {current_user.user_uuid}, token: ...{body.refresh_token[-20:]}"
-    )
     await auth_service.logout(
         user_id=current_user.id,
         refresh_token=body.refresh_token,
         session=session,
     )
-    logger.info(f"[ROUTER] POST /auth/logout 완료 - user_id: {current_user.id}")
     return Response(status_code=status.HTTP_204_NO_CONTENT)
 
 
@@ -320,15 +310,10 @@ async def logout_all(
     사용자의 모든 리프레시 토큰을 폐기합니다.
     모든 기기에서 재로그인이 필요합니다.
     """
-    logger.info(
-        f"[ROUTER] POST /auth/logout/all - user_id: {current_user.id}, "
-        f"user_uuid: {current_user.user_uuid}"
-    )
     await auth_service.logout_all(
         user_id=current_user.id,
         session=session,
     )
-    logger.info(f"[ROUTER] POST /auth/logout/all 완료 - user_id: {current_user.id}")
     return Response(status_code=status.HTTP_204_NO_CONTENT)
 
 

app/user/dependencies/auth.py

@@ -4,7 +4,6 @@
 FastAPI 라우터에서 사용할 인증 관련 의존성을 정의합니다.
 """
 
-import logging
 from typing import Optional
 
 from fastapi import Depends
@@ -23,8 +22,6 @@ from app.user.services.auth import (
 )
 from app.user.services.jwt import decode_token
 
-logger = logging.getLogger(__name__)
-
 security = HTTPBearer(auto_error=False)
 
 
@@ -50,28 +47,18 @@ async def get_current_user(
         UserInactiveError: 비활성화된 계정인 경우
     """
     if credentials is None:
-        logger.info("[AUTH-DEP] 토큰 없음 - MissingTokenError")
         raise MissingTokenError()
 
-    token = credentials.credentials
+    payload = decode_token(credentials.credentials)
-    logger.debug(f"[AUTH-DEP] Access Token 검증 시작 - token: ...{token[-20:]}")
-
-    payload = decode_token(token)
     if payload is None:
-        logger.warning(f"[AUTH-DEP] Access Token 디코딩 실패 - token: ...{token[-20:]}")
         raise InvalidTokenError()
 
     # 토큰 타입 확인
     if payload.get("type") != "access":
-        logger.warning(
-            f"[AUTH-DEP] 토큰 타입 불일치 - expected: access, "
-            f"got: {payload.get('type')}, sub: {payload.get('sub')}"
-        )
         raise InvalidTokenError("액세스 토큰이 아닙니다.")
 
     user_uuid = payload.get("sub")
     if user_uuid is None:
-        logger.warning(f"[AUTH-DEP] 토큰에 sub 클레임 없음 - token: ...{token[-20:]}")
         raise InvalidTokenError()
 
     # 사용자 조회
@@ -84,18 +71,11 @@ async def get_current_user(
     user = result.scalar_one_or_none()
 
     if user is None:
-        logger.warning(f"[AUTH-DEP] 사용자 미존재 - user_uuid: {user_uuid}")
         raise UserNotFoundError()
 
     if not user.is_active:
-        logger.warning(
-            f"[AUTH-DEP] 비활성 사용자 접근 - user_uuid: {user_uuid}, user_id: {user.id}"
-        )
         raise UserInactiveError()
 
-    logger.debug(
-        f"[AUTH-DEP] Access Token 검증 성공 - user_uuid: {user_uuid}, user_id: {user.id}"
-    )
     return user
 
 
@@ -116,24 +96,17 @@ async def get_current_user_optional(
         User | None: 로그인한 사용자 또는 None
     """
     if credentials is None:
-        logger.debug("[AUTH-DEP] 선택적 인증 - 토큰 없음")
         return None
 
-    token = credentials.credentials
+    payload = decode_token(credentials.credentials)
-    payload = decode_token(token)
     if payload is None:
-        logger.debug(f"[AUTH-DEP] 선택적 인증 - 디코딩 실패, token: ...{token[-20:]}")
         return None
 
     if payload.get("type") != "access":
-        logger.debug(
-            f"[AUTH-DEP] 선택적 인증 - 타입 불일치 (type={payload.get('type')})"
-        )
         return None
 
     user_uuid = payload.get("sub")
     if user_uuid is None:
-        logger.debug("[AUTH-DEP] 선택적 인증 - sub 없음")
         return None
 
     result = await session.execute(
@@ -145,14 +118,8 @@ async def get_current_user_optional(
     user = result.scalar_one_or_none()
 
     if user is None or not user.is_active:
-        logger.debug(
-            f"[AUTH-DEP] 선택적 인증 - 사용자 미존재 또는 비활성, user_uuid: {user_uuid}"
-        )
         return None
 
-    logger.debug(
-        f"[AUTH-DEP] 선택적 인증 성공 - user_uuid: {user_uuid}, user_id: {user.id}"
-    )
     return user
 
 

app/user/schemas/__init__.py

@@ -1,4 +1,5 @@
 from app.user.schemas.user_schema import (
+    AccessTokenResponse,
     KakaoCodeRequest,
     KakaoLoginResponse,
     KakaoTokenResponse,
@@ -11,6 +12,7 @@ from app.user.schemas.user_schema import (
 )
 
 __all__ = [
+    "AccessTokenResponse",
     "KakaoCodeRequest",
     "KakaoLoginResponse",
     "KakaoTokenResponse",

app/user/schemas/user_schema.py

@@ -64,6 +64,24 @@ class TokenResponse(BaseModel):
     }
 
 
+class AccessTokenResponse(BaseModel):
+    """액세스 토큰 갱신 응답"""
+
+    access_token: str = Field(..., description="액세스 토큰")
+    token_type: str = Field(default="Bearer", description="토큰 타입")
+    expires_in: int = Field(..., description="액세스 토큰 만료 시간 (초)")
+
+    model_config = {
+        "json_schema_extra": {
+            "example": {
+                "access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxIiwiZXhwIjoxNzA1MzE1MjAwfQ.new_token",
+                "token_type": "Bearer",
+                "expires_in": 3600
+            }
+        }
+    }
+
+
 class RefreshTokenRequest(BaseModel):
     """토큰 갱신 요청"""
 

app/user/services/auth.py

@@ -81,6 +81,7 @@ class AdminRequiredError(AuthException):
 from app.user.models import RefreshToken, User
 from app.utils.common import generate_uuid
 from app.user.schemas.user_schema import (
+    AccessTokenResponse,
     KakaoUserInfo,
     LoginResponse,
     TokenResponse,
@@ -207,91 +208,49 @@ class AuthService:
             TokenExpiredError: 토큰이 만료된 경우
             TokenRevokedError: 토큰이 폐기된 경우
         """
-        logger.info(f"[AUTH] 토큰 갱신 시작 (Rotation) - token: ...{refresh_token[-20:]}")
+        logger.info("[AUTH] 토큰 갱신 시작 (Refresh Token Rotation)")
 
         # 1. 토큰 디코딩 및 검증
         payload = decode_token(refresh_token)
         if payload is None:
-            logger.warning(f"[AUTH] 토큰 갱신 실패 [1/8 디코딩] - token: ...{refresh_token[-20:]}")
             raise InvalidTokenError()
 
         if payload.get("type") != "refresh":
-            logger.warning(
-                f"[AUTH] 토큰 갱신 실패 [1/8 타입] - type={payload.get('type')}, "
-                f"sub: {payload.get('sub')}"
-            )
             raise InvalidTokenError("리프레시 토큰이 아닙니다.")
 
-        logger.debug(
-            f"[AUTH] 토큰 갱신 [1/8] 디코딩 성공 - sub: {payload.get('sub')}, "
-            f"exp: {payload.get('exp')}"
-        )
-
         # 2. DB에서 리프레시 토큰 조회
         token_hash = get_token_hash(refresh_token)
         db_token = await self._get_refresh_token_by_hash(token_hash, session)
 
         if db_token is None:
-            logger.warning(
-                f"[AUTH] 토큰 갱신 실패 [2/8 DB조회] - DB에 없음, "
-                f"token_hash: {token_hash[:16]}..."
-            )
             raise InvalidTokenError()
 
-        logger.debug(
-            f"[AUTH] 토큰 갱신 [2/8] DB 조회 성공 - token_hash: {token_hash[:16]}..., "
-            f"user_uuid: {db_token.user_uuid}, is_revoked: {db_token.is_revoked}, "
-            f"expires_at: {db_token.expires_at}"
-        )
-
         # 3. 토큰 상태 확인
         if db_token.is_revoked:
-            logger.warning(
-                f"[AUTH] 토큰 갱신 실패 [3/8 폐기됨] - 이미 폐기된 토큰 (replay attack 의심), "
-                f"token_hash: {token_hash[:16]}..., user_uuid: {db_token.user_uuid}, "
-                f"revoked_at: {db_token.revoked_at}"
-            )
             raise TokenRevokedError()
 
-        # 4. 만료 확인
         if db_token.expires_at < now().replace(tzinfo=None):
-            logger.info(
-                f"[AUTH] 토큰 갱신 실패 [4/8 만료] - expires_at: {db_token.expires_at}, "
-                f"user_uuid: {db_token.user_uuid}"
-            )
             raise TokenExpiredError()
 
-        # 5. 사용자 확인
+        # 4. 사용자 확인
         user_uuid = payload.get("sub")
         user = await self._get_user_by_uuid(user_uuid, session)
 
         if user is None:
-            logger.warning(
-                f"[AUTH] 토큰 갱신 실패 [5/8 사용자] - 사용자 미존재, user_uuid: {user_uuid}"
-            )
             raise UserNotFoundError()
 
         if not user.is_active:
-            logger.warning(
-                f"[AUTH] 토큰 갱신 실패 [5/8 비활성] - user_uuid: {user_uuid}, "
-                f"user_id: {user.id}"
-            )
             raise UserInactiveError()
 
-        # 6. 기존 리프레시 토큰 폐기 (ORM 직접 수정 — _revoke_refresh_token_by_hash는 내부 commit이 있어 사용하지 않음)
+        # 5. 기존 리프레시 토큰 폐기 (ORM 직접 수정 — _revoke_refresh_token_by_hash는 내부 commit이 있어 사용하지 않음)
         db_token.is_revoked = True
         db_token.revoked_at = now().replace(tzinfo=None)
-        logger.debug(f"[AUTH] 토큰 갱신 [6/8] 기존 토큰 폐기 - token_hash: {token_hash[:16]}...")
 
-        # 7. 새 토큰 발급
+        # 6. 새 토큰 발급
         new_access_token = create_access_token(user.user_uuid)
         new_refresh_token = create_refresh_token(user.user_uuid)
-        logger.debug(
-            f"[AUTH] 토큰 갱신 [7/8] 새 토큰 발급 - new_access: ...{new_access_token[-20:]}, "
-            f"new_refresh: ...{new_refresh_token[-20:]}"
-        )
 
-        # 8. 새 리프레시 토큰 DB 저장 (_save_refresh_token은 flush만 수행)
+        # 7. 새 리프레시 토큰 DB 저장 (_save_refresh_token은 flush만 수행)
         await self._save_refresh_token(
             user_id=user.id,
             user_uuid=user.user_uuid,
@@ -299,14 +258,10 @@ class AuthService:
             session=session,
         )
 
-        # 폐기 + 저장을 하나의 트랜잭션으로 커밋
+        # 8. 폐기 + 저장을 하나의 트랜잭션으로 커밋
         await session.commit()
 
-        logger.info(
+        logger.info(f"[AUTH] 토큰 갱신 완료 - user_uuid: {user.user_uuid}")
-            f"[AUTH] 토큰 갱신 완료 [8/8] - user_uuid: {user.user_uuid}, "
-            f"user_id: {user.id}, old_hash: {token_hash[:16]}..., "
-            f"new_refresh: ...{new_refresh_token[-20:]}"
-        )
 
         return TokenResponse(
             access_token=new_access_token,
@@ -330,12 +285,7 @@ class AuthService:
             session: DB 세션
         """
         token_hash = get_token_hash(refresh_token)
-        logger.info(
-            f"[AUTH] 로그아웃 - user_id: {user_id}, token_hash: {token_hash[:16]}..., "
-            f"token: ...{refresh_token[-20:]}"
-        )
         await self._revoke_refresh_token_by_hash(token_hash, session)
-        logger.info(f"[AUTH] 로그아웃 완료 - user_id: {user_id}")
 
     async def logout_all(
         self,
@@ -349,9 +299,7 @@ class AuthService:
             user_id: 사용자 ID
             session: DB 세션
         """
-        logger.info(f"[AUTH] 전체 로그아웃 - user_id: {user_id}")
         await self._revoke_all_user_tokens(user_id, session)
-        logger.info(f"[AUTH] 전체 로그아웃 완료 - user_id: {user_id}")
 
     async def _get_or_create_user(
         self,
@@ -481,11 +429,6 @@ class AuthService:
         )
         session.add(refresh_token)
         await session.flush()
-
-        logger.debug(
-            f"[AUTH] Refresh Token DB 저장 - user_uuid: {user_uuid}, "
-            f"token_hash: {token_hash[:16]}..., expires_at: {expires_at}"
-        )
         return refresh_token
 
     async def _get_refresh_token_by_hash(

app/user/services/jwt.py

@@ -5,18 +5,14 @@ Access Token과 Refresh Token의 생성, 검증, 해시 기능을 제공합니
 """
 
 import hashlib
-import logging
 from datetime import datetime, timedelta
 from typing import Optional
 
 from jose import JWTError, jwt
-from jose.exceptions import ExpiredSignatureError, JWTClaimsError
 
 from app.utils.timezone import now
 from config import jwt_settings
 
-logger = logging.getLogger(__name__)
-
 
 def create_access_token(user_uuid: str) -> str:
     """
@@ -36,16 +32,11 @@ def create_access_token(user_uuid: str) -> str:
         "exp": expire,
         "type": "access",
     }
-    token = jwt.encode(
+    return jwt.encode(
         to_encode,
         jwt_settings.JWT_SECRET,
         algorithm=jwt_settings.JWT_ALGORITHM,
     )
-    logger.debug(
-        f"[JWT] Access Token 발급 - user_uuid: {user_uuid}, "
-        f"expires: {expire}, token: ...{token[-20:]}"
-    )
-    return token
 
 
 def create_refresh_token(user_uuid: str) -> str:
@@ -66,16 +57,11 @@ def create_refresh_token(user_uuid: str) -> str:
         "exp": expire,
         "type": "refresh",
     }
-    token = jwt.encode(
+    return jwt.encode(
         to_encode,
         jwt_settings.JWT_SECRET,
         algorithm=jwt_settings.JWT_ALGORITHM,
     )
-    logger.debug(
-        f"[JWT] Refresh Token 발급 - user_uuid: {user_uuid}, "
-        f"expires: {expire}, token: ...{token[-20:]}"
-    )
-    return token
 
 
 def decode_token(token: str) -> Optional[dict]:
@@ -94,25 +80,8 @@ def decode_token(token: str) -> Optional[dict]:
             jwt_settings.JWT_SECRET,
             algorithms=[jwt_settings.JWT_ALGORITHM],
         )
-        logger.debug(
-            f"[JWT] 토큰 디코딩 성공 - type: {payload.get('type')}, "
-            f"sub: {payload.get('sub')}, exp: {payload.get('exp')}, "
-            f"token: ...{token[-20:]}"
-        )
         return payload
-    except ExpiredSignatureError:
+    except JWTError:
-        logger.info(f"[JWT] 토큰 만료 - token: ...{token[-20:]}")
-        return None
-    except JWTClaimsError as e:
-        logger.warning(
-            f"[JWT] 클레임 검증 실패 - error: {e}, token: ...{token[-20:]}"
-        )
-        return None
-    except JWTError as e:
-        logger.warning(
-            f"[JWT] 토큰 디코딩 실패 - error: {type(e).__name__}: {e}, "
-            f"token: ...{token[-20:]}"
-        )
         return None
 
 

app/utils/chatgpt_prompt.py

@@ -82,7 +82,7 @@ class ChatgptService:
         self,
         prompt : Prompt,
         input_data : dict,
-    ) -> BaseModel:
+    ) -> str:
         prompt_text = prompt.build_prompt(input_data)
 
         logger.debug(f"[ChatgptService] Generated Prompt (length: {len(prompt_text)})")

app/utils/nvMapPwScraper.py

@@ -15,8 +15,7 @@ class NvMapPwScraper():
     _context = None
     _win_width = 1280
     _win_height = 720
-    _max_retry = 3 
+    _max_retry = 60 # place id timeout threshold seconds
-    _timeout = 60 # place id timeout threshold seconds
     
     # instance var
     page = None
@@ -98,7 +97,7 @@ patchedGetter.toString();''')
     async def get_place_id_url(self, selected):
         count = 0
         get_place_id_url_start = time.perf_counter()
-        while (count <= self._max_retry):
+        while (count <= 1):
             title = selected['title'].replace("<b>", "").replace("</b>", "")
             address = selected.get('roadAddress', selected['address']).replace("<b>", "").replace("</b>", "")
             encoded_query = parse.quote(f"{address} {title}")
@@ -107,12 +106,9 @@ patchedGetter.toString();''')
             wait_first_start = time.perf_counter()
 
             try:
-                await self.goto_url(url, wait_until="networkidle",timeout = self._timeout*1000)
+                await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
             except:
-                if "/place/" in self.page.url:
+                await self.page.reload(wait_until="networkidle", timeout = self._max_retry/2*1000)
-                    return self.page.url
-                logger.error(f"[ERROR] Can't Finish networkidle")
-
 
             wait_first_time = (time.perf_counter() - wait_first_start) * 1000
 
@@ -127,11 +123,9 @@ patchedGetter.toString();''')
 
             url = self.page.url.replace("?","?isCorrectAnswer=true&")
             try:
-                await self.goto_url(url, wait_until="networkidle",timeout = self._timeout*1000)
+                await self.goto_url(url, wait_until="networkidle",timeout = self._max_retry/2*1000)
             except:
-                if "/place/" in self.page.url:
+                await self.page.reload(wait_until="networkidle", timeout = self._max_retry/2*1000)
-                    return self.page.url
-                logger.error(f"[ERROR] Can't Finish networkidle")
 
             wait_forced_correct_time = (time.perf_counter() - wait_forced_correct_start) * 1000
             logger.debug(f"[DEBUG] Try {count+1} : Wait for forced isCorrectAnswer flag : {wait_forced_correct_time}ms")

app/utils/nvMapScraper.py

@@ -30,7 +30,7 @@ class NvMapScraper:
 
     GRAPHQL_URL: str = "https://pcmap-api.place.naver.com/graphql"
     REQUEST_TIMEOUT = 120  # 초
-    data_source_identifier = "nv"
+
     OVERVIEW_QUERY: str = """
 query getAccommodation($id: String!, $deviceType: String) {
     business: placeDetail(input: {id: $id, isNx: true, deviceType: $deviceType}) {
@@ -99,8 +99,6 @@ query getAccommodation($id: String!, $deviceType: String) {
             data = await self._call_get_accommodation(place_id)
             self.rawdata = data
             fac_data = await self._get_facility_string(place_id)
-            # Naver 기준임, 구글 등 다른 데이터 소스의 경우 고유 Identifier 사용할 것.
-            self.place_id = self.data_source_identifier + place_id
             self.rawdata["facilities"] = fac_data
             self.image_link_list = [
                 nv_image["origin"]

app/utils/prompts/prompts.py

@@ -52,14 +52,6 @@ lyric_prompt = Prompt(
     prompt_model = prompt_settings.LYRIC_PROMPT_MODEL
 )
 
-yt_upload_prompt = Prompt(
-    prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.YOUTUBE_PROMPT_FILE_NAME),
-    prompt_input_class = YTUploadPromptInput,
-    prompt_output_class = YTUploadPromptOutput,
-    prompt_model = prompt_settings.YOUTUBE_PROMPT_MODEL
-)
-
 def reload_all_prompt():
     marketing_prompt._reload_prompt()
-    lyric_prompt._reload_prompt()
+    lyric_prompt._reload_prompt()
-    yt_upload_prompt._reload_prompt()

app/utils/prompts/schemas/__init__.py

@@ -1,3 +1,2 @@
 from .lyric import LyricPromptInput, LyricPromptOutput
-from .marketing import MarketingPromptInput, MarketingPromptOutput
+from .marketing import MarketingPromptInput, MarketingPromptOutput
-from .youtube import YTUploadPromptInput, YTUploadPromptOutput

app/utils/prompts/schemas/youtube.py

@@ -1,16 +0,0 @@
-from pydantic import BaseModel, Field
-from typing import List, Optional
-
-# Input 정의
-class YTUploadPromptInput(BaseModel):
-    customer_name : str = Field(..., description = "마케팅 대상 사업체 이름")
-    detail_region_info : str = Field(..., description = "마케팅 대상 지역 상세")
-    marketing_intelligence_summary : Optional[str] = Field(None, description = "마케팅 분석 정보 보고서")
-    language : str= Field(..., description = "영상 언어")
-    target_keywords: List[str] = Field(..., description="태그 키워드 리스트")
-
-# Output 정의
-class YTUploadPromptOutput(BaseModel):
-    title:str = Field(..., description="유튜브 영상 제목 - SEO/AEO 최적화")
-    description: str = Field(..., description = "유튜브 영상 설명 - SEO/AEO 최적화")
-    

app/utils/prompts/templates/lyric_prompt.txt

@@ -4,7 +4,6 @@ You are a content marketing expert, brand strategist, and creative songwriter
 specializing in Korean pension / accommodation businesses.
 You create lyrics strictly based on Brand & Marketing Intelligence analysis
 and optimized for viral short-form video content.
-Marketing Intelligence Report is background reference.
 
 [INPUT]
 Business Name: {customer_name}

app/utils/prompts/templates/yt_upload_prompt.txt

@@ -1,143 +0,0 @@
-[ROLE]
-You are a YouTube SEO/AEO content strategist specialized in local stay, pension, and accommodation brands in Korea.
-You create search-optimized, emotionally appealing, and action-driving titles and descriptions based on Brand & Marketing Intelligence.
-
-Your goal is to:
-
-Increase search visibility
-Improve click-through rate
-Reflect the brand’s positioning
-Trigger emotional interest
-Encourage booking or inquiry actions through subtle CTA
- 
-
-[INPUT]
-Business Name: {customer_name}
-Region Details: {detail_region_info}
-Brand & Marketing Intelligence Report: {marketing_intelligence_summary}
-Target Keywords: {target_keywords}
-Output Language: {language}
-
- 
-
-[INTERNAL ANALYSIS – DO NOT OUTPUT]
-Analyze the following from the marketing intelligence:
-
-Core brand concept
-Main emotional promise
-Primary target persona
-Top 2–3 USP signals
-Stay context (date, healing, local trip, etc.)
-Search intent behind the target keywords
-Main booking trigger
-Emotional moment that would make the viewer want to stay
-Use these to guide:
-
-Title tone
-Opening CTA line
-Emotional hook in the first sentences
- 
-
-[TITLE GENERATION RULES]
-
-The title must:
-
-Include the business name or region when natural
-Always wrap the business name in quotation marks
-Example: “스테이 머뭄”
-Include 1–2 high-intent keywords
-Reflect emotional positioning
-Suggest a desirable stay moment
-Sound like a natural YouTube title, not an advertisement
-Length rules:
-
-Hard limit: 100 characters
-Target range: 45–65 characters
-Place primary keyword in the first half
-Avoid:
-
-ALL CAPS
-Excessive symbols
-Price or promotion language
-Hard-sell expressions
- 
-
-[DESCRIPTION GENERATION RULES]
-
-Character rules:
-
-Maximum length: 1,000 characters
-Critical information must appear within the first 150 characters
-Language style rules (mandatory):
-
-Use polite Korean honorific style
-Replace “있나요?” with “있으신가요?”
-Do not start sentences with “이곳은”
-Replace “선택이 됩니다” with “추천 드립니다”
-Always wrap the business name in quotation marks
-Example: “스테이 머뭄”
-Avoid vague location words like “근대거리” alone
-Use specific phrasing such as:
-“군산 근대역사문화거리 일대”
-Structure:
-
-Opening CTA (first line)
-Must be a question or gentle suggestion
-Must use honorific tone
-Example:
-“조용히 쉴 수 있는 군산숙소를 찾고 있으신가요?”
-Core Stay Introduction (within first 150 characters total)
-Mention business name with quotation marks
-Mention region
-Include main keyword
-Briefly describe the stay experience
-Brand Experience
-Core value and emotional promise
-Based on marketing intelligence positioning
-Key Highlights (3–4 short lines)
-Derived from USP signals
-Natural sentences
-Focus on booking-trigger moments
-Local Context
-Mention nearby experiences
-Use specific local references
-Example:
-“군산 근대역사문화거리 일대 산책이나 로컬 카페 투어”
-Soft Closing Line
-One gentle, non-salesy closing sentence
-Must end with a recommendation tone
-Example:
-“군산에서 조용한 시간을 보내고 싶다면 ‘스테이 머뭄’을 추천 드립니다.”
- 
-
-[SEO & AEO RULES]
-
-Naturally integrate 3–5 keywords from {target_keywords}
-Avoid keyword stuffing
-Use conversational, search-like phrasing
-Optimize for:
-YouTube search
-Google video results
-AI answer summaries
-Keywords should appear in:
-
-Title (1–2)
-First 150 characters of description
-Highlight or context sections
- 
-
-[LANGUAGE RULE]
-
-All output must be written entirely in {language}.
-No mixed languages.
-
- 
-
-[OUTPUT FORMAT – STRICT]
-
-title:
-description:
-
-No explanations.
-No headings.
-No extra text.

app/video/api/routers/v1/video.py

@@ -7,6 +7,7 @@ Video API Router
     - POST /video/generate/{task_id}: 영상 생성 요청 (task_id로 Project/Lyric/Song 연결)
     - GET /video/status/{creatomate_render_id}: Creatomate API 영상 생성 상태 조회
     - GET /video/download/{task_id}: 영상 다운로드 상태 조회 (DB polling)
+    - GET /video/list: 완료된 영상 목록 조회 (페이지네이션)
 
 사용 예시:
     from app.video.api.routers.v1.video import router
@@ -17,10 +18,11 @@ import json
 from typing import Literal
 
 from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
-from sqlalchemy import select
+from sqlalchemy import func, select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.database.session import get_session
+from app.dependencies.pagination import PaginationParams, get_pagination_params
 from app.user.dependencies.auth import get_current_user
 from app.user.models import User
 from app.home.models import Image, Project
@@ -28,11 +30,13 @@ from app.lyric.models import Lyric
 from app.song.models import Song, SongTimestamp
 from app.utils.creatomate import CreatomateService
 from app.utils.logger import get_logger
+from app.utils.pagination import PaginatedResponse
 from app.video.models import Video
 from app.video.schemas.video_schema import (
     DownloadVideoResponse,
     GenerateVideoResponse,
     PollingVideoResponse,
+    VideoListItem,
     VideoRenderData,
 )
 from app.video.worker.video_task import download_and_upload_video_to_blob
@@ -734,3 +738,126 @@ async def download_video(
             message="영상 다운로드 조회에 실패했습니다.",
             error_message=str(e),
         )
+
+
+@router.get(
+    "/list",
+    summary="생성된 영상 목록 조회",
+    description="""
+완료된 영상 목록을 페이지네이션하여 조회합니다.
+
+## 인증
+**Bearer 토큰 필수** - `Authorization: Bearer {access_token}` 헤더를 포함해야 합니다.
+
+## 쿼리 파라미터
+- **page**: 페이지 번호 (1부터 시작, 기본값: 1)
+- **page_size**: 페이지당 데이터 수 (기본값: 10, 최대: 100)
+
+## 반환 정보
+- **items**: 영상 목록 (store_name, region, task_id, result_movie_url, created_at)
+- **total**: 전체 데이터 수
+- **page**: 현재 페이지
+- **page_size**: 페이지당 데이터 수
+- **total_pages**: 전체 페이지 수
+- **has_next**: 다음 페이지 존재 여부
+- **has_prev**: 이전 페이지 존재 여부
+
+## 사용 예시 (cURL)
+```bash
+curl -X GET "http://localhost:8000/video/list?page=1&page_size=10" \\
+  -H "Authorization: Bearer {access_token}"
+```
+
+## 참고
+- status가 'completed'인 영상만 반환됩니다.
+- 동일한 task_id가 있는 경우 가장 최근에 생성된 1개만 반환됩니다.
+- created_at 기준 내림차순 정렬됩니다.
+    """,
+    response_model=PaginatedResponse[VideoListItem],
+    responses={
+        200: {"description": "영상 목록 조회 성공"},
+        401: {"description": "인증 실패 (토큰 없음/만료)"},
+        500: {"description": "조회 실패"},
+    },
+)
+async def get_videos(
+    current_user: User = Depends(get_current_user),
+    session: AsyncSession = Depends(get_session),
+    pagination: PaginationParams = Depends(get_pagination_params),
+) -> PaginatedResponse[VideoListItem]:
+    """완료된 영상 목록을 페이지네이션하여 반환합니다."""
+    logger.info(
+        f"[get_videos] START - page: {pagination.page}, page_size: {pagination.page_size}"
+    )
+    try:
+        offset = (pagination.page - 1) * pagination.page_size
+
+        # 서브쿼리: task_id별 최신 Video의 id 조회 (completed 상태만)
+        subquery = (
+            select(func.max(Video.id).label("max_id"))
+            .where(Video.status == "completed")
+            .group_by(Video.task_id)
+            .subquery()
+        )
+
+        # 전체 개수 조회 (task_id별 최신 1개만)
+        count_query = select(func.count()).select_from(subquery)
+        total_result = await session.execute(count_query)
+        total = total_result.scalar() or 0
+
+        # 데이터 조회 (completed 상태, task_id별 최신 1개만, 최신순)
+        query = (
+            select(Video)
+            .where(Video.id.in_(select(subquery.c.max_id)))
+            .order_by(Video.created_at.desc())
+            .offset(offset)
+            .limit(pagination.page_size)
+        )
+        result = await session.execute(query)
+        videos = result.scalars().all()
+
+        # Project 정보 일괄 조회 (N+1 문제 해결)
+        project_ids = [v.project_id for v in videos if v.project_id]
+        projects_map: dict = {}
+        if project_ids:
+            projects_result = await session.execute(
+                select(Project).where(Project.id.in_(project_ids))
+            )
+            projects_map = {p.id: p for p in projects_result.scalars().all()}
+
+        # VideoListItem으로 변환
+        items = []
+        for video in videos:
+            project = projects_map.get(video.project_id)
+
+            item = VideoListItem(
+                video_id=video.id,
+                store_name=project.store_name if project else None,
+                region=project.region if project else None,
+                task_id=video.task_id,
+                result_movie_url=video.result_movie_url,
+                created_at=video.created_at,
+            )
+            items.append(item)
+
+        response = PaginatedResponse.create(
+            items=items,
+            total=total,
+            page=pagination.page,
+            page_size=pagination.page_size,
+        )
+
+        logger.info(
+            f"[get_videos] SUCCESS - total: {total}, page: {pagination.page}, "
+            f"page_size: {pagination.page_size}, items_count: {len(items)}"
+        )
+        return response
+
+    except Exception as e:
+        logger.error(f"[get_videos] EXCEPTION - error: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail=f"영상 목록 조회에 실패했습니다: {str(e)}",
+        )
+
+

config.py

@@ -184,8 +184,6 @@ class PromptSettings(BaseSettings):
     LYRIC_PROMPT_FILE_NAME : str = Field(default="lyric_prompt.txt")
     LYRIC_PROMPT_MODEL : str = Field(default="gpt-5-mini")
 
-    YOUTUBE_PROMPT_FILE_NAME : str = Field(default="yt_upload_prompt.txt")
-    YOUTUBE_PROMPT_MODEL : str = Field(default="gpt-5-mini")
     model_config = _base_config
 
 
@@ -600,9 +598,9 @@ class SocialUploadSettings(BaseSettings):
 
 
 prj_settings = ProjectSettings()
-cors_settings = CORSSettings()
 apikey_settings = APIKeySettings()
 db_settings = DatabaseSettings()
+cors_settings = CORSSettings()
 crawler_settings = CrawlerSettings()
 naver_api_settings = NaverAPISettings()
 azure_blob_settings = AzureBlobSettings()

docs/architecture.html

@@ -1,788 +0,0 @@
-<!DOCTYPE html>
-<html lang="ko">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>O2O CastAD Backend - 인프라 아키텍처</title>
-    <script src="https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.min.js"></script>
-    <style>
-        :root {
-            --bg: #0f1117;
-            --surface: #1a1d27;
-            --surface2: #232733;
-            --border: #2e3345;
-            --text: #e1e4ed;
-            --text-dim: #8b90a0;
-            --accent: #6c8cff;
-            --accent2: #a78bfa;
-            --green: #34d399;
-            --orange: #fb923c;
-            --red: #f87171;
-        }
-
-        * { margin: 0; padding: 0; box-sizing: border-box; }
-
-        body {
-            font-family: 'Pretendard', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
-            background: var(--bg);
-            color: var(--text);
-            line-height: 1.8;
-        }
-
-        /* 네비게이션 */
-        nav {
-            position: fixed;
-            top: 0;
-            width: 100%;
-            background: var(--surface);
-            border-bottom: 1px solid var(--border);
-            z-index: 100;
-            display: flex;
-            align-items: center;
-            padding: 0 40px;
-            height: 60px;
-            gap: 40px;
-        }
-
-        nav .logo {
-            font-size: 1.1rem;
-            font-weight: 700;
-            color: var(--accent);
-            white-space: nowrap;
-        }
-
-        nav a {
-            color: var(--text-dim);
-            text-decoration: none;
-            font-size: 0.9rem;
-            transition: color 0.2s;
-        }
-
-        nav a:hover { color: var(--accent); }
-
-        /* 메인 */
-        main {
-            max-width: 1400px;
-            margin: 0 auto;
-            padding: 100px 32px 80px;
-        }
-
-        .hero {
-            text-align: center;
-            margin-bottom: 60px;
-        }
-
-        .hero h1 {
-            font-size: 2.2rem;
-            margin-bottom: 8px;
-            background: linear-gradient(135deg, var(--accent), var(--accent2));
-            -webkit-background-clip: text;
-            -webkit-text-fill-color: transparent;
-        }
-
-        .hero p {
-            color: var(--text-dim);
-            font-size: 1rem;
-        }
-
-        /* 섹션 */
-        section {
-            background: var(--surface);
-            border: 1px solid var(--border);
-            border-radius: 12px;
-            padding: 36px;
-            margin-bottom: 40px;
-        }
-
-        .section-header {
-            margin-bottom: 24px;
-        }
-
-        .section-header h2 {
-            font-size: 1.4rem;
-            margin-bottom: 4px;
-            color: var(--accent);
-        }
-
-        .section-header h2 .num {
-            display: inline-block;
-            background: var(--accent);
-            color: #fff;
-            width: 28px;
-            height: 28px;
-            border-radius: 50%;
-            text-align: center;
-            line-height: 28px;
-            font-size: 0.85rem;
-            margin-right: 8px;
-        }
-
-        .section-header .desc {
-            color: var(--text-dim);
-            font-size: 0.95rem;
-        }
-
-        /* 좌우 2컬럼 (테이블/텍스트용) */
-        .cols {
-            display: grid;
-            grid-template-columns: 1fr 1fr;
-            gap: 28px;
-            align-items: start;
-        }
-
-        .col { min-width: 0; }
-
-        /* 다이어그램 - 항상 풀 와이드, 아래 배치 */
-        .diagram-box {
-            background: var(--surface2);
-            border: 1px solid var(--border);
-            border-radius: 10px;
-            padding: 32px;
-            margin-top: 28px;
-            overflow-x: auto;
-        }
-
-        .diagram-box .mermaid {
-            display: flex;
-            justify-content: center;
-        }
-
-        .diagram-box .mermaid svg {
-            max-width: 100%;
-            height: auto;
-            min-height: 300px;
-        }
-
-        .diagram-label {
-            text-align: center;
-            font-size: 0.85rem;
-            color: var(--text-dim);
-            margin-top: 12px;
-        }
-
-        /* 서브 타이틀 */
-        h3 {
-            font-size: 1rem;
-            color: var(--text);
-            margin: 20px 0 10px;
-        }
-
-        h3:first-child { margin-top: 0; }
-
-        /* 테이블 */
-        table {
-            width: 100%;
-            border-collapse: collapse;
-            margin: 12px 0;
-            font-size: 0.88rem;
-        }
-
-        th, td {
-            padding: 9px 12px;
-            text-align: left;
-            border-bottom: 1px solid var(--border);
-        }
-
-        th {
-            background: var(--surface2);
-            color: var(--accent);
-            font-weight: 600;
-            font-size: 0.82rem;
-            text-transform: uppercase;
-            white-space: nowrap;
-        }
-
-        td { color: var(--text-dim); }
-
-        /* 태그 */
-        .tag {
-            display: inline-block;
-            padding: 2px 8px;
-            border-radius: 12px;
-            font-size: 0.75rem;
-            font-weight: 600;
-        }
-
-        .tag-green { background: rgba(52,211,153,0.15); color: var(--green); }
-        .tag-orange { background: rgba(251,146,60,0.15); color: var(--orange); }
-        .tag-red { background: rgba(248,113,113,0.15); color: var(--red); }
-
-        /* 비용 카드 */
-        .cost-cards {
-            display: grid;
-            grid-template-columns: repeat(3, 1fr);
-            gap: 16px;
-            margin: 16px 0 24px;
-        }
-
-        .cost-card {
-            background: var(--surface2);
-            border: 1px solid var(--border);
-            border-radius: 8px;
-            padding: 20px;
-            text-align: center;
-        }
-
-        .cost-card .stage {
-            font-size: 0.85rem;
-            color: var(--text-dim);
-            margin-bottom: 4px;
-        }
-
-        .cost-card .amount {
-            font-size: 1.4rem;
-            font-weight: 700;
-        }
-
-        .cost-card .krw {
-            font-size: 0.85rem;
-            color: var(--text-dim);
-            margin-top: 2px;
-        }
-
-        .cost-card.s1 { border-top: 3px solid var(--green); }
-        .cost-card.s1 .amount { color: var(--green); }
-        .cost-card.s2 { border-top: 3px solid var(--orange); }
-        .cost-card.s2 .amount { color: var(--orange); }
-        .cost-card.s3 { border-top: 3px solid var(--red); }
-        .cost-card.s3 .amount { color: var(--red); }
-
-        /* 리스트 */
-        ul {
-            padding-left: 18px;
-            margin: 10px 0;
-        }
-
-        ul li {
-            color: var(--text-dim);
-            margin-bottom: 5px;
-            font-size: 0.92rem;
-        }
-
-        ul li strong { color: var(--text); }
-
-        /* 노트 */
-        .note {
-            background: rgba(108,140,255,0.08);
-            border-left: 3px solid var(--accent);
-            padding: 12px 16px;
-            border-radius: 0 8px 8px 0;
-            font-size: 0.88rem;
-            color: var(--text-dim);
-            margin-top: 20px;
-        }
-
-        code {
-            background: var(--surface2);
-            border: 1px solid var(--border);
-            padding: 1px 5px;
-            border-radius: 4px;
-            font-size: 0.84rem;
-            color: var(--green);
-        }
-
-        /* PDF 다운로드 버튼 */
-        .btn-pdf {
-            margin-left: auto;
-            padding: 6px 16px;
-            background: var(--accent);
-            color: #fff;
-            border: none;
-            border-radius: 6px;
-            font-size: 0.85rem;
-            font-weight: 600;
-            cursor: pointer;
-            transition: background 0.2s;
-            white-space: nowrap;
-        }
-
-        .btn-pdf:hover { background: #5a7ae6; }
-
-        /* 반응형 */
-        @media (max-width: 1024px) {
-            main { padding: 80px 20px 60px; }
-            .cols { grid-template-columns: 1fr; }
-            .cost-cards { grid-template-columns: 1fr; }
-        }
-
-        @media (max-width: 640px) {
-            nav { padding: 0 16px; gap: 16px; }
-            nav a { font-size: 0.8rem; }
-            section { padding: 20px; }
-            .hero h1 { font-size: 1.6rem; }
-            table { font-size: 0.8rem; }
-            th, td { padding: 6px 8px; }
-            .diagram-box { padding: 16px; }
-        }
-
-        /* 인쇄 / PDF 저장 — 화면과 동일한 다크 테마 유지 */
-        @media print {
-            @page {
-                size: A3 landscape;
-                margin: 10mm;
-            }
-
-            * {
-                -webkit-print-color-adjust: exact !important;
-                print-color-adjust: exact !important;
-            }
-
-            nav { display: none !important; }
-            .btn-pdf { display: none !important; }
-
-            main {
-                max-width: 100% !important;
-                padding: 10px !important;
-            }
-
-            section {
-                break-inside: auto;
-                page-break-inside: auto;
-            }
-
-            .diagram-box {
-                break-inside: auto;
-                page-break-inside: auto;
-            }
-
-            .hero {
-                margin-bottom: 20px;
-            }
-
-            section {
-                margin-bottom: 20px;
-                padding: 20px;
-            }
-
-            .cols {
-                grid-template-columns: 1fr 1fr !important;
-            }
-
-            .cost-cards {
-                grid-template-columns: repeat(3, 1fr) !important;
-            }
-        }
-    </style>
-</head>
-<body>
-
-<nav>
-    <div class="logo">O2O CastAD</div>
-    <a href="#load-balancing">부하 분산</a>
-    <a href="#architecture">아키텍처</a>
-    <a href="#cost">비용 산출</a>
-    <button class="btn-pdf" onclick="downloadPDF()">PDF 다운로드</button>
-</nav>
-
-<main>
-    <div class="hero">
-        <h1>O2O CastAD Backend</h1>
-        <p>인프라 아키텍처 및 비용 산출 문서</p>
-    </div>
-
-    <!-- ==================== 1. 부하 분산 ==================== -->
-    <section id="load-balancing">
-        <div class="section-header">
-            <h2><span class="num">1</span>DB 및 서버 부하 분산 방법</h2>
-            <p class="desc">Nginx 로드밸런싱, 커넥션 풀 관리, 단계별 수평 확장 전략</p>
-        </div>
-
-        <div class="cols">
-            <div class="col">
-                <h3>현재 구현 현황 (단일 인스턴스)</h3>
-                <ul>
-                    <li><strong>API 커넥션 풀</strong>: pool_size=20, max_overflow=20 → 최대 <code>40</code></li>
-                    <li><strong>백그라운드 풀</strong>: pool_size=10, max_overflow=10 → 최대 <code>20</code></li>
-                    <li><strong>인스턴스당 총 DB 연결</strong>: <code>40 + 20 = 60</code></li>
-                    <li><strong>풀 리사이클</strong>: 280초 (MySQL wait_timeout 300초 이전), pre-ping 활성화</li>
-                </ul>
-
-                <h3>단계별 확장 전략</h3>
-                <table>
-                    <thead>
-                        <tr>
-                            <th>단계</th>
-                            <th>동시접속</th>
-                            <th>App Server</th>
-                            <th>LB</th>
-                            <th>DB ( MySQL Flexible)</th>
-                        </tr>
-                    </thead>
-                    <tbody>
-                        <tr>
-                            <td><span class="tag tag-green">S1</span></td>
-                            <td>~50명</td>
-                            <td>x1</td>
-                            <td>Nginx x1</td>
-                            <td>Burstable B1ms</td>
-                        </tr>
-                        <tr>
-                            <td><span class="tag tag-orange">S2</span></td>
-                            <td>50~200명</td>
-                            <td>x2~4</td>
-                            <td>Nginx</td>
-                            <td>GP D2ds_v4 + Replica x1</td>
-                        </tr>
-                        <tr>
-                            <td><span class="tag tag-red">S3</span></td>
-                            <td>200~1,000명</td>
-                            <td><span style="font-size:0.75rem; line-height:1.4;">API ServerxN<br/>+ Scheduler</span></td>
-                            <td>Nginx</td>
-                            <td>BC D4ds_v4 + Replica x2 + Redis P1</td>
-                        </tr>
-                    </tbody>
-                </table>
-            </div>
-
-            <div class="col">
-                <h3>커넥션 풀 수치 계산</h3>
-                <table>
-                    <thead>
-                        <tr>
-                            <th>항목</th>
-                            <th>Stage 1 (1대)</th>
-                            <th>Stage 2 (4대)</th>
-                            <th>Stage 3 (8대)</th>
-                        </tr>
-                    </thead>
-                    <tbody>
-                        <tr>
-                            <td><strong>Main Pool / 인스턴스</strong></td>
-                            <td>20+20 = 40</td>
-                            <td>10+10 = 20</td>
-                            <td>5+5 = 10</td>
-                        </tr>
-                        <tr>
-                            <td><strong>BG Pool / 인스턴스</strong></td>
-                            <td>10+10 = 20</td>
-                            <td>5+5 = 10</td>
-                            <td>3+3 = 6</td>
-                        </tr>
-                        <tr>
-                            <td><strong>인스턴스당 소계</strong></td>
-                            <td><code>60</code></td>
-                            <td><code>30</code></td>
-                            <td><code>16</code></td>
-                        </tr>
-                        <tr>
-                            <td><strong>Primary 총 연결</strong></td>
-                            <td>60</td>
-                            <td>4 x 30 = <code>120</code></td>
-                            <td>8 x 16 = <code>128</code></td>
-                        </tr>
-                        <tr>
-                            <td><strong>max_connections 권장</strong></td>
-                            <td>100</td>
-                            <td>200</td>
-                            <td>300</td>
-                        </tr>
-                    </tbody>
-                </table>
-
-                <div class="note" style="margin-top: 16px;">
-                    <strong>핵심:</strong>
-                    JWT Stateless 설계로 Nginx 세션 어피니티 불필요 (round-robin / least_conn).
-                    Stage 2부터 Read Replica로 읽기 분산, Redis는 Stage 3에서 캐싱/Rate Limiting 도입.
-                </div>
-            </div>
-        </div>
-
-        <!-- 다이어그램: 내용 아래 풀 와이드 -->
-        <div class="diagram-box">
-            <pre class="mermaid">
-graph TB
-    subgraph S1["Stage 1: ~50명"]
-        direction LR
-        S1N["Nginx<br/>(Reverse Proxy)"] --> S1A["App Server x1"]
-        S1A --> S1D[" MySQL<br/>Burstable B1ms"]
-    end
-
-    subgraph S2["Stage 2: 50~200명"]
-        direction LR
-        S2N["Nginx<br/>(Reverse Proxy)"] --> S2API["APP Server<br/>x 1 ~ 2"]
-        S2N --> S2WK["Scheduler<br/>Server"]
-        S2API --> S2P["MySQL BC<br/>Primary<br/>(D4ds_v4)"]
-        S2API --> S2R1["Read Replica<br/>x1"]
-        S2WK --> S2P
-        S2WK --> S2R1
-    end
-
-    subgraph S3["Stage 3: 200~1,000명"]
-        direction LR
-        S3N["Nginx<br/>(Reverse Proxy)"] --> S3API["APP Server<br/>x N"]
-        S3N --> S3WK["Scheduler<br/>Server"]
-        S3API --> S3P["MySQL BC<br/>Primary<br/>(D4ds_v4)"]
-        S3API --> S3R1["Read Replica<br/>xN"]
-        S3API --> S3RD["Redis<br/>Premium P1"]
-        S3WK --> S3P
-        S3WK --> S3R1
-    end
-
-    S1 ~~~ S2 ~~~ S3
-
-    style S1 fill:#0d3320,stroke:#34d399,stroke-width:2px,color:#e1e4ed
-    style S2 fill:#3b2506,stroke:#fb923c,stroke-width:2px,color:#e1e4ed
-    style S3 fill:#3b1010,stroke:#f87171,stroke-width:2px,color:#e1e4ed
-            </pre>
-        </div>
-    </section>
-
-    <!-- ==================== 2. 아키텍처 ==================== -->
-    <section id="architecture">
-        <div class="section-header">
-            <h2><span class="num">2</span>전체 아키텍처 다이어그램</h2>
-            <p class="desc">Nginx + FastAPI App Server 구성과 외부 서비스 연동 구조</p>
-        </div>
-
-        <div class="cols">
-            <div class="col">
-                <ul>
-                    <li><strong>로드밸런서</strong>: Nginx (Reverse Proxy, L7 LB, SSL 종단)</li>
-                    <li><strong>App Server</strong>: FastAPI (Python 3.13) — Auth, Home, Lyric, Song, Video, Social, SNS, Archive, Admin, Background Worker</li>
-                    <li><strong>DB</strong>: Database for MySQL Flexible Server — Stage 2+ Read Replica</li>
-                </ul>
-            </div>
-            <div class="col">
-                <ul>
-                    <li><strong>캐시</strong>: Cache for Redis (Stage 3 도입)</li>
-                    <li><strong>콘텐츠 생성</strong>: 가사(ChatGPT) → 음악(Suno AI) → 영상(Creatomate) → SNS 업로드</li>
-                    <li><strong>외부 연동</strong>: Kakao OAuth, Naver Map/Search API,  Blob Storage</li>
-                </ul>
-            </div>
-        </div>
-
-        <!-- 다이어그램: 내용 아래 풀 와이드 -->
-        <div class="diagram-box">
-            <pre class="mermaid">
-graph TB
-    Client["클라이언트<br/>(Web / App)"]
-    LB["Nginx<br/>(Reverse Proxy + SSL 종단)"]
-
-    subgraph APP["App Server (FastAPI)"]
-        direction LR
-        Auth["Auth"] --- Home["Home"] --- Lyric["Lyric"] --- Song["Song"] --- Video["Video"]
-        Social["Social"] --- SNS["SNS"] --- Archive["Archive"] --- Admin["Admin"] --- BG["BG Worker"]
-    end
-
-    subgraph DB[" MySQL Flexible Server"]
-        direction LR
-        Primary["Primary (R/W)"]
-        Replica["Read Replica"]
-    end
-
-    subgraph AI["AI 콘텐츠 생성 파이프라인"]
-        direction LR
-        ChatGPT["ChatGPT<br/>(가사 생성)"]
-        Suno["Suno AI<br/>(음악 생성)"]
-        Creatomate["Creatomate<br/>(영상 생성)"]
-        ChatGPT --> Suno --> Creatomate
-    end
-
-    subgraph EXT["외부 서비스"]
-        direction LR
-        Blob[" Blob<br/>Storage"]
-        Kakao["Kakao<br/>OAuth"]
-        YT["YouTube /<br/>Instagram"]
-        Naver["Naver Map /<br/>Search API"]
-    end
-
-    Redis[" Cache for Redis<br/>(Stage 3 도입)"]
-
-    Client -->|HTTPS| LB
-    LB --> APP
-    APP --> Primary
-    APP -->|"읽기 전용"| Replica
-    APP -.->|"Stage 3"| Redis
-    APP --> AI
-    APP --> Blob
-    APP --> Kakao
-    APP --> YT
-    APP --> Naver
-
-    style Client fill:#1a3a1a,stroke:#34d399,stroke-width:2px,color:#e1e4ed
-    style LB fill:#1a3a1a,stroke:#34d399,stroke-width:2px,color:#e1e4ed
-    style APP fill:#1a2744,stroke:#6c8cff,stroke-width:2px,color:#e1e4ed
-    style DB fill:#2a1f00,stroke:#fb923c,stroke-width:2px,color:#e1e4ed
-    style AI fill:#2a0f2a,stroke:#a78bfa,stroke-width:2px,color:#e1e4ed
-    style EXT fill:#0d2a2a,stroke:#34d399,stroke-width:2px,color:#e1e4ed
-    style Redis fill:#3b1010,stroke:#f87171,stroke-width:1px,color:#e1e4ed
-            </pre>
-        </div>
-        <p class="diagram-label">전체 시스템 아키텍처 구성도</p>
-
-        <div class="note">
-            <strong>콘텐츠 생성 흐름:</strong> 사용자 요청 → Naver 크롤링 → ChatGPT 가사 생성 → Suno AI 음악 생성 → Creatomate 영상 생성 →  Blob 저장 → YouTube/Instagram 업로드
-        </div>
-    </section>
-
-    <!-- ==================== 3. 비용 산출 ==================== -->
-    <section id="cost">
-        <div class="section-header">
-            <h2><span class="num">3</span>예상 리소스 및 비용</h2>
-            <p class="desc"> 기반 단계별 월 예상 비용 (인프라 + 외부 API)</p>
-        </div>
-
-        <div class="cost-cards">
-            <div class="cost-card s1">
-                <div class="stage">Stage 1 · 동시 ~50명</div>
-                <div class="amount">$170~390</div>
-                <div class="krw">약 22~51만원/월</div>
-            </div>
-            <div class="cost-card s2">
-                <div class="stage">Stage 2 · 동시 50~200명</div>
-                <div class="amount">$960~2,160</div>
-                <div class="krw">약 125~280만원/월</div>
-            </div>
-            <div class="cost-card s3">
-                <div class="stage">Stage 3 · 동시 200~1,000명</div>
-                <div class="amount">$3,850~8,500</div>
-                <div class="krw">약 500~1,100만원/월</div>
-            </div>
-        </div>
-
-        <div class="cols">
-            <div class="col">
-                <h3>항목별 비용 상세</h3>
-                <table>
-                    <thead>
-                        <tr>
-                            <th>항목</th>
-                            <th>Stage 1</th>
-                            <th>Stage 2</th>
-                            <th>Stage 3</th>
-                        </tr>
-                    </thead>
-                    <tbody>
-                        <tr>
-                            <td><strong>App Server</strong></td>
-                            <td>$50~70</td>
-                            <td>$200~400</td>
-                            <td>$600~1,000</td>
-                        </tr>
-                        <tr>
-                            <td><strong>Nginx</strong></td>
-                            <td>-</td>
-                            <td>포함 / VM $15~30</td>
-                            <td>VM $30~60</td>
-                        </tr>
-                        <tr>
-                            <td><strong>MySQL Primary</strong></td>
-                            <td>B1ms $15~25</td>
-                            <td>GP $130~160</td>
-                            <td>BC $350~450</td>
-                        </tr>
-                        <tr>
-                            <td><strong>MySQL Replica</strong></td>
-                            <td>-</td>
-                            <td>GP x1 $130~160</td>
-                            <td>BC x2 $260~360</td>
-                        </tr>
-                        <tr>
-                            <td><strong>Redis</strong></td>
-                            <td>-</td>
-                            <td>-</td>
-                            <td>P1 $225</td>
-                        </tr>
-                        <tr>
-                            <td><strong>스토리지/네트워크</strong></td>
-                            <td>$10~20</td>
-                            <td>$55~100</td>
-                            <td>$160~270</td>
-                        </tr>
-                        <tr>
-                            <td><strong>AI API (합계)</strong></td>
-                            <td>$90~280</td>
-                            <td>$400~1,250</td>
-                            <td>$2,100~5,800</td>
-                        </tr>
-                    </tbody>
-                </table>
-            </div>
-
-            <div class="col">
-                <h3>DB 용량 예측 (1년 후)</h3>
-                <table>
-                    <thead>
-                        <tr>
-                            <th></th>
-                            <th>Stage 1 (500명)</th>
-                            <th>Stage 2 (5,000명)</th>
-                            <th>Stage 3 (50,000명)</th>
-                        </tr>
-                    </thead>
-                    <tbody>
-                        <tr>
-                            <td><strong>DB 용량</strong></td>
-                            <td>~1.2GB</td>
-                            <td>~12GB</td>
-                            <td>~120GB</td>
-                        </tr>
-                        <tr>
-                            <td><strong>Blob 스토리지</strong></td>
-                            <td>~1.1TB</td>
-                            <td>~11TB</td>
-                            <td>~110TB</td>
-                        </tr>
-                        <tr>
-                            <td><strong>MySQL 추천</strong></td>
-                            <td>32GB SSD</td>
-                            <td>128GB SSD</td>
-                            <td>512GB SSD</td>
-                        </tr>
-                    </tbody>
-                </table>
-
-                <div class="note" style="margin-top: 16px;">
-                    <strong>비용 최적화 팁:</strong>
-                     3rd party 의존도 낮춰야함
-                     <br>
-                    Blob Lifecycle Policy (30일 미접근 → Cool 티어),
-                </div>
-            </div>
-        </div>
-
-        <!-- 다이어그램: 내용 아래 풀 와이드 -->
-        <div class="diagram-box">
-            <pre class="mermaid">
-pie title Stage 3 월 비용 구성 비중
-    "App Server (APP+Scheduler)" : 800
-    "Nginx" : 45
-    "MySQL Primary" : 400
-    "MySQL Replica x2" : 310
-    "Redis Premium" : 225
-    "스토리지/네트워크" : 215
-    "OpenAI API" : 550
-    "Suno AI" : 1400
-    "Creatomate" : 2000
-            </pre>
-        </div>
-        <p class="diagram-label">Stage 3 월간 비용 구성 비율 — AI API 비중이 전체의 약 66%</p>
-    </section>
-</main>
-
-<script>
-    function downloadPDF() {
-        // Mermaid SVG가 렌더링된 후 인쇄
-        window.print();
-    }
-
-    mermaid.initialize({
-        startOnLoad: true,
-        theme: 'dark',
-        themeVariables: {
-            primaryColor: '#1a2744',
-            primaryTextColor: '#e1e4ed',
-            primaryBorderColor: '#6c8cff',
-            lineColor: '#6c8cff',
-            secondaryColor: '#232733',
-            tertiaryColor: '#2e3345',
-            pieSectionTextColor: '#e1e4ed',
-            pieLegendTextColor: '#e1e4ed',
-            pieTitleTextColor: '#e1e4ed',
-            pieStrokeColor: '#2e3345'
-        }
-    });
-</script>
-
-</body>
-</html>

docs/generate_ppt.py

@@ -1,551 +0,0 @@
-"""
-O2O CastAD Backend - 인프라 아키텍처 PPT 생성 스크립트
-실행: python3 docs/generate_ppt.py
-출력: docs/architecture.pptx
-"""
-
-from pptx import Presentation
-from pptx.util import Inches, Pt, Emu
-from pptx.dml.color import RGBColor
-from pptx.enum.text import PP_ALIGN, MSO_ANCHOR
-from pptx.enum.shapes import MSO_SHAPE
-
-# ── 색상 팔레트 (HTML 다크 테마 매칭) ──
-BG = RGBColor(0x0F, 0x11, 0x17)
-SURFACE = RGBColor(0x1A, 0x1D, 0x27)
-SURFACE2 = RGBColor(0x23, 0x27, 0x33)
-BORDER = RGBColor(0x2E, 0x33, 0x45)
-TEXT = RGBColor(0xE1, 0xE4, 0xED)
-TEXT_DIM = RGBColor(0x8B, 0x90, 0xA0)
-ACCENT = RGBColor(0x6C, 0x8C, 0xFF)
-ACCENT2 = RGBColor(0xA7, 0x8B, 0xFA)
-GREEN = RGBColor(0x34, 0xD3, 0x99)
-ORANGE = RGBColor(0xFB, 0x92, 0x3C)
-RED = RGBColor(0xF8, 0x71, 0x71)
-WHITE = RGBColor(0xFF, 0xFF, 0xFF)
-
-SLIDE_W = Inches(13.333)
-SLIDE_H = Inches(7.5)
-
-
-def set_slide_bg(slide, color):
-    bg = slide.background
-    fill = bg.fill
-    fill.solid()
-    fill.fore_color.rgb = color
-
-
-def add_textbox(slide, left, top, width, height, text, font_size=14,
-                color=TEXT, bold=False, alignment=PP_ALIGN.LEFT, font_name="맑은 고딕"):
-    txBox = slide.shapes.add_textbox(left, top, width, height)
-    tf = txBox.text_frame
-    tf.word_wrap = True
-    p = tf.paragraphs[0]
-    p.text = text
-    p.font.size = Pt(font_size)
-    p.font.color.rgb = color
-    p.font.bold = bold
-    p.font.name = font_name
-    p.alignment = alignment
-    return txBox
-
-
-def add_bullet_list(slide, left, top, width, height, items, font_size=13):
-    txBox = slide.shapes.add_textbox(left, top, width, height)
-    tf = txBox.text_frame
-    tf.word_wrap = True
-    for i, item in enumerate(items):
-        if i == 0:
-            p = tf.paragraphs[0]
-        else:
-            p = tf.add_paragraph()
-        p.space_after = Pt(4)
-        p.font.size = Pt(font_size)
-        p.font.color.rgb = TEXT_DIM
-        p.font.name = "맑은 고딕"
-        # bold 부분 처리
-        if isinstance(item, tuple):
-            run_bold = p.add_run()
-            run_bold.text = item[0]
-            run_bold.font.bold = True
-            run_bold.font.color.rgb = TEXT
-            run_bold.font.size = Pt(font_size)
-            run_bold.font.name = "맑은 고딕"
-            run_normal = p.add_run()
-            run_normal.text = item[1]
-            run_normal.font.color.rgb = TEXT_DIM
-            run_normal.font.size = Pt(font_size)
-            run_normal.font.name = "맑은 고딕"
-        else:
-            p.text = f"• {item}"
-    return txBox
-
-
-def add_table(slide, left, top, width, height, headers, rows, col_widths=None):
-    n_rows = len(rows) + 1
-    n_cols = len(headers)
-    table_shape = slide.shapes.add_table(n_rows, n_cols, left, top, width, height)
-    table = table_shape.table
-
-    # 컬럼 폭 설정
-    if col_widths:
-        for i, w in enumerate(col_widths):
-            table.columns[i].width = w
-
-    # 헤더 행
-    for j, h in enumerate(headers):
-        cell = table.cell(0, j)
-        cell.text = h
-        for paragraph in cell.text_frame.paragraphs:
-            paragraph.font.size = Pt(11)
-            paragraph.font.bold = True
-            paragraph.font.color.rgb = ACCENT
-            paragraph.font.name = "맑은 고딕"
-            paragraph.alignment = PP_ALIGN.CENTER
-        cell.fill.solid()
-        cell.fill.fore_color.rgb = SURFACE2
-
-    # 데이터 행
-    for i, row in enumerate(rows):
-        for j, val in enumerate(row):
-            cell = table.cell(i + 1, j)
-            cell.text = str(val)
-            for paragraph in cell.text_frame.paragraphs:
-                paragraph.font.size = Pt(10)
-                paragraph.font.color.rgb = TEXT_DIM
-                paragraph.font.name = "맑은 고딕"
-                paragraph.alignment = PP_ALIGN.CENTER
-            cell.fill.solid()
-            cell.fill.fore_color.rgb = SURFACE if i % 2 == 0 else BG
-
-    # 테이블 테두리 제거 (깔끔하게)
-    for i in range(n_rows):
-        for j in range(n_cols):
-            cell = table.cell(i, j)
-            cell.vertical_anchor = MSO_ANCHOR.MIDDLE
-            for border_name in ['top', 'bottom', 'left', 'right']:
-                border = getattr(cell, f'border_{border_name}' if hasattr(cell, f'border_{border_name}') else border_name, None)
-
-    return table_shape
-
-
-def add_rounded_rect(slide, left, top, width, height, fill_color, border_color=None, text="",
-                     font_size=12, text_color=TEXT, bold=False):
-    shape = slide.shapes.add_shape(MSO_SHAPE.ROUNDED_RECTANGLE, left, top, width, height)
-    shape.fill.solid()
-    shape.fill.fore_color.rgb = fill_color
-    if border_color:
-        shape.line.color.rgb = border_color
-        shape.line.width = Pt(1.5)
-    else:
-        shape.line.fill.background()
-    if text:
-        tf = shape.text_frame
-        tf.word_wrap = True
-        p = tf.paragraphs[0]
-        p.text = text
-        p.font.size = Pt(font_size)
-        p.font.color.rgb = text_color
-        p.font.bold = bold
-        p.font.name = "맑은 고딕"
-        p.alignment = PP_ALIGN.CENTER
-        tf.paragraphs[0].space_before = Pt(0)
-        tf.paragraphs[0].space_after = Pt(0)
-    return shape
-
-
-def add_section_number(slide, left, top, number, color=ACCENT):
-    shape = slide.shapes.add_shape(MSO_SHAPE.OVAL, left, top, Inches(0.4), Inches(0.4))
-    shape.fill.solid()
-    shape.fill.fore_color.rgb = color
-    shape.line.fill.background()
-    tf = shape.text_frame
-    p = tf.paragraphs[0]
-    p.text = str(number)
-    p.font.size = Pt(14)
-    p.font.color.rgb = WHITE
-    p.font.bold = True
-    p.font.name = "맑은 고딕"
-    p.alignment = PP_ALIGN.CENTER
-    return shape
-
-
-def add_arrow(slide, x1, y1, x2, y2, color=ACCENT):
-    connector = slide.shapes.add_connector(1, x1, y1, x2, y2)  # 1 = straight
-    connector.line.color.rgb = color
-    connector.line.width = Pt(1.5)
-    connector.end_x = x2
-    connector.end_y = y2
-    return connector
-
-
-# ══════════════════════════════════════════════════════════════════
-# PPT 생성 시작
-# ══════════════════════════════════════════════════════════════════
-prs = Presentation()
-prs.slide_width = SLIDE_W
-prs.slide_height = SLIDE_H
-
-blank_layout = prs.slide_layouts[6]  # Blank
-
-# ── Slide 1: 타이틀 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_textbox(slide, Inches(0), Inches(2.2), SLIDE_W, Inches(1),
-            "O2O CastAD Backend", font_size=44, color=ACCENT, bold=True,
-            alignment=PP_ALIGN.CENTER)
-add_textbox(slide, Inches(0), Inches(3.3), SLIDE_W, Inches(0.6),
-            "인프라 아키텍처 및 비용 산출 문서", font_size=20, color=TEXT_DIM,
-            alignment=PP_ALIGN.CENTER)
-
-# 하단 구분선
-line = slide.shapes.add_connector(1, Inches(4.5), Inches(4.2), Inches(8.8), Inches(4.2))
-line.line.color.rgb = ACCENT
-line.line.width = Pt(2)
-
-add_textbox(slide, Inches(0), Inches(4.5), SLIDE_W, Inches(0.5),
-            "Nginx + FastAPI + MySQL + AI Pipeline", font_size=14, color=TEXT_DIM,
-            alignment=PP_ALIGN.CENTER)
-
-
-# ── Slide 2: 부하 분산 - 현재 구현 & 확장 전략 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "1")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "DB 및 서버 부하 분산 방법", font_size=26, color=ACCENT, bold=True)
-add_textbox(slide, Inches(1.0), Inches(0.85), Inches(10), Inches(0.3),
-            "Nginx 로드밸런싱, 커넥션 풀 관리, 단계별 수평 확장 전략", font_size=12, color=TEXT_DIM)
-
-# 좌측: 현재 구현 현황
-add_textbox(slide, Inches(0.5), Inches(1.5), Inches(5), Inches(0.4),
-            "현재 구현 현황 (단일 인스턴스)", font_size=16, color=TEXT, bold=True)
-
-items = [
-    ("API 커넥션 풀: ", "pool_size=20, max_overflow=20 → 최대 40"),
-    ("백그라운드 풀: ", "pool_size=10, max_overflow=10 → 최대 20"),
-    ("인스턴스당 총 DB 연결: ", "40 + 20 = 60"),
-    ("풀 리사이클: ", "280초 (MySQL wait_timeout 300초 이전)"),
-    ("Pre-ping: ", "활성화 (죽은 커넥션 자동 복구)"),
-]
-add_bullet_list(slide, Inches(0.5), Inches(2.0), Inches(5.5), Inches(2.5), items, font_size=12)
-
-# 우측: 확장 전략 테이블
-add_textbox(slide, Inches(6.8), Inches(1.5), Inches(6), Inches(0.4),
-            "단계별 확장 전략", font_size=16, color=TEXT, bold=True)
-
-headers = ["단계", "동시접속", "App Server", "LB", "DB (MySQL Flexible)"]
-rows = [
-    ["S1", "~50명", "x1", "Nginx x1", "Burstable B1ms"],
-    ["S2", "50~200명", "x2~4", "Nginx", "GP D2ds + Replica x1"],
-    ["S3", "200~1,000명", "API xN\n+ Scheduler", "Nginx", "BC D4ds + Replica x2\n+ Redis P1"],
-]
-add_table(slide, Inches(6.8), Inches(2.0), Inches(6), Inches(2.0), headers, rows)
-
-# 하단: 핵심 노트
-note_shape = add_rounded_rect(slide, Inches(0.5), Inches(4.6), Inches(12.3), Inches(0.7),
-                               SURFACE2, ACCENT)
-tf = note_shape.text_frame
-tf.word_wrap = True
-p = tf.paragraphs[0]
-p.text = ""
-run = p.add_run()
-run.text = "핵심: "
-run.font.bold = True
-run.font.color.rgb = ACCENT
-run.font.size = Pt(11)
-run.font.name = "맑은 고딕"
-run = p.add_run()
-run.text = "JWT Stateless 설계로 Nginx 세션 어피니티 불필요 (round-robin / least_conn). Stage 2부터 Read Replica로 읽기 분산, Redis는 Stage 3에서 캐싱/Rate Limiting 도입."
-run.font.color.rgb = TEXT_DIM
-run.font.size = Pt(11)
-run.font.name = "맑은 고딕"
-
-
-# ── Slide 3: 커넥션 풀 수치 계산 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "1")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "커넥션 풀 수치 계산", font_size=26, color=ACCENT, bold=True)
-add_textbox(slide, Inches(1.0), Inches(0.85), Inches(10), Inches(0.3),
-            "인스턴스 수 증가에 따른 인스턴스당 풀 사이즈 축소 및 총 DB 커넥션 관리", font_size=12, color=TEXT_DIM)
-
-headers = ["항목", "Stage 1 (1대)", "Stage 2 (4대)", "Stage 3 (8대)"]
-rows = [
-    ["Main Pool / 인스턴스", "20+20 = 40", "10+10 = 20", "5+5 = 10"],
-    ["BG Pool / 인스턴스", "10+10 = 20", "5+5 = 10", "3+3 = 6"],
-    ["인스턴스당 소계", "60", "30", "16"],
-    ["Primary 총 연결", "60", "4 x 30 = 120", "8 x 16 = 128"],
-    ["max_connections 권장", "100", "200", "300"],
-]
-add_table(slide, Inches(1.5), Inches(1.6), Inches(10.3), Inches(2.8), headers, rows)
-
-# 시각적 요약 박스
-stages = [
-    ("Stage 1", "1대 × 60 = 60", GREEN, Inches(2)),
-    ("Stage 2", "4대 × 30 = 120", ORANGE, Inches(5.5)),
-    ("Stage 3", "8대 × 16 = 128", RED, Inches(9)),
-]
-for label, val, color, left in stages:
-    add_rounded_rect(slide, left, Inches(4.8), Inches(2.3), Inches(0.9),
-                     SURFACE2, color, f"{label}\n{val}", font_size=13, text_color=color, bold=True)
-
-
-# ── Slide 4: 아키텍처 다이어그램 (상세 블록) ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "2")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "전체 아키텍처 다이어그램", font_size=26, color=ACCENT, bold=True)
-add_textbox(slide, Inches(1.0), Inches(0.85), Inches(10), Inches(0.3),
-            "Nginx + FastAPI App Server 구성과 외부 서비스 연동 구조", font_size=12, color=TEXT_DIM)
-
-# 클라이언트
-add_rounded_rect(slide, Inches(5.5), Inches(1.4), Inches(2.3), Inches(0.6),
-                 RGBColor(0x1A, 0x3A, 0x1A), GREEN, "클라이언트 (Web / App)",
-                 font_size=11, text_color=TEXT)
-
-# Nginx
-add_rounded_rect(slide, Inches(5.5), Inches(2.3), Inches(2.3), Inches(0.6),
-                 RGBColor(0x1A, 0x3A, 0x1A), GREEN, "Nginx\n(Reverse Proxy + SSL)",
-                 font_size=10, text_color=TEXT)
-
-# App Server
-app_box = add_rounded_rect(slide, Inches(2.5), Inches(3.2), Inches(8.3), Inches(1.2),
-                            RGBColor(0x1A, 0x27, 0x44), ACCENT, "", font_size=10)
-add_textbox(slide, Inches(2.7), Inches(3.15), Inches(3), Inches(0.3),
-            "App Server (FastAPI)", font_size=11, color=ACCENT, bold=True)
-
-modules = ["Auth", "Home", "Lyric", "Song", "Video", "Social", "SNS", "Archive", "Admin", "BG Worker"]
-for i, mod in enumerate(modules):
-    col = i % 10
-    x = Inches(2.7 + col * 0.8)
-    y = Inches(3.55)
-    add_rounded_rect(slide, x, y, Inches(0.7), Inches(0.5),
-                     SURFACE2, BORDER, mod, font_size=8, text_color=TEXT_DIM)
-
-# DB
-add_rounded_rect(slide, Inches(1.0), Inches(4.85), Inches(3.5), Inches(0.7),
-                 RGBColor(0x2A, 0x1F, 0x00), ORANGE, "MySQL Flexible Server\nPrimary (R/W) + Read Replica",
-                 font_size=10, text_color=TEXT)
-
-# Redis
-add_rounded_rect(slide, Inches(5.0), Inches(4.85), Inches(2.3), Inches(0.7),
-                 RGBColor(0x3B, 0x10, 0x10), RED, "Cache for Redis\n(Stage 3 도입)",
-                 font_size=10, text_color=TEXT)
-
-# AI Pipeline
-add_rounded_rect(slide, Inches(7.8), Inches(4.85), Inches(4.5), Inches(0.7),
-                 RGBColor(0x2A, 0x0F, 0x2A), ACCENT2, "AI Pipeline: ChatGPT → Suno AI → Creatomate",
-                 font_size=10, text_color=TEXT)
-
-# 외부 서비스
-ext_items = [("Blob\nStorage", Inches(1.0)), ("Kakao\nOAuth", Inches(3.2)),
-             ("YouTube /\nInstagram", Inches(5.4)), ("Naver Map /\nSearch", Inches(7.6))]
-for label, x in ext_items:
-    add_rounded_rect(slide, x, Inches(6.0), Inches(1.8), Inches(0.7),
-                     RGBColor(0x0D, 0x2A, 0x2A), GREEN, label,
-                     font_size=9, text_color=TEXT_DIM)
-
-# 콘텐츠 생성 흐름 노트
-note_shape = add_rounded_rect(slide, Inches(1.0), Inches(6.85), Inches(11.3), Inches(0.45),
-                               SURFACE2, ACCENT)
-tf = note_shape.text_frame
-tf.word_wrap = True
-p = tf.paragraphs[0]
-run = p.add_run()
-run.text = "콘텐츠 생성 흐름: "
-run.font.bold = True
-run.font.color.rgb = ACCENT
-run.font.size = Pt(10)
-run.font.name = "맑은 고딕"
-run = p.add_run()
-run.text = "사용자 요청 → Naver 크롤링 → ChatGPT 가사 → Suno AI 음악 → Creatomate 영상 → Blob 저장 → YouTube/Instagram 업로드"
-run.font.color.rgb = TEXT_DIM
-run.font.size = Pt(10)
-run.font.name = "맑은 고딕"
-
-
-# ── Slide 5: Stage별 인프라 스케일링 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "2")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "단계별 인프라 스케일링", font_size=26, color=ACCENT, bold=True)
-
-# Stage 1
-stage1_box = add_rounded_rect(slide, Inches(0.5), Inches(1.3), Inches(3.8), Inches(5.2),
-                               RGBColor(0x0D, 0x33, 0x20), GREEN)
-add_textbox(slide, Inches(0.7), Inches(1.4), Inches(3.4), Inches(0.3),
-            "Stage 1: ~50명", font_size=16, color=GREEN, bold=True)
-items = [
-    ("Nginx: ", "Reverse Proxy x1"),
-    ("App Server: ", "x1"),
-    ("MySQL: ", "Burstable B1ms"),
-    ("Redis: ", "미사용"),
-    ("월 비용: ", "$170~390"),
-]
-add_bullet_list(slide, Inches(0.7), Inches(1.9), Inches(3.4), Inches(3), items, font_size=12)
-
-# Stage 2
-stage2_box = add_rounded_rect(slide, Inches(4.7), Inches(1.3), Inches(3.8), Inches(5.2),
-                               RGBColor(0x3B, 0x25, 0x06), ORANGE)
-add_textbox(slide, Inches(4.9), Inches(1.4), Inches(3.4), Inches(0.3),
-            "Stage 2: 50~200명", font_size=16, color=ORANGE, bold=True)
-items = [
-    ("Nginx: ", "Reverse Proxy (LB)"),
-    ("App Server: ", "x2~4"),
-    ("Scheduler: ", "Server x1"),
-    ("MySQL: ", "GP D2ds + Replica x1"),
-    ("Redis: ", "미사용"),
-    ("월 비용: ", "$960~2,160"),
-]
-add_bullet_list(slide, Inches(4.9), Inches(1.9), Inches(3.4), Inches(3.5), items, font_size=12)
-
-# Stage 3
-stage3_box = add_rounded_rect(slide, Inches(8.9), Inches(1.3), Inches(3.8), Inches(5.2),
-                               RGBColor(0x3B, 0x10, 0x10), RED)
-add_textbox(slide, Inches(9.1), Inches(1.4), Inches(3.4), Inches(0.3),
-            "Stage 3: 200~1,000명", font_size=16, color=RED, bold=True)
-items = [
-    ("Nginx: ", "Reverse Proxy (LB)"),
-    ("API Server: ", "x N (Auto Scale)"),
-    ("Scheduler: ", "Server x1"),
-    ("MySQL: ", "BC D4ds + Replica x2"),
-    ("Redis: ", "Premium P1 (캐싱)"),
-    ("월 비용: ", "$3,850~8,500"),
-]
-add_bullet_list(slide, Inches(9.1), Inches(1.9), Inches(3.4), Inches(3.5), items, font_size=12)
-
-
-# ── Slide 6: 비용 산출 개요 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "3")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "예상 리소스 및 비용", font_size=26, color=ACCENT, bold=True)
-add_textbox(slide, Inches(1.0), Inches(0.85), Inches(10), Inches(0.3),
-            "단계별 월 예상 비용 (인프라 + 외부 API)", font_size=12, color=TEXT_DIM)
-
-# 비용 카드 3개
-cost_data = [
-    ("Stage 1", "동시 ~50명", "$170~390", "약 22~51만원/월", GREEN),
-    ("Stage 2", "동시 50~200명", "$960~2,160", "약 125~280만원/월", ORANGE),
-    ("Stage 3", "동시 200~1,000명", "$3,850~8,500", "약 500~1,100만원/월", RED),
-]
-for i, (stage, users, usd, krw, color) in enumerate(cost_data):
-    x = Inches(1.0 + i * 3.9)
-    card = add_rounded_rect(slide, x, Inches(1.5), Inches(3.5), Inches(1.8), SURFACE2, color)
-
-    add_textbox(slide, x, Inches(1.6), Inches(3.5), Inches(0.3),
-                f"{stage} · {users}", font_size=12, color=TEXT_DIM, alignment=PP_ALIGN.CENTER)
-    add_textbox(slide, x, Inches(2.0), Inches(3.5), Inches(0.5),
-                usd, font_size=28, color=color, bold=True, alignment=PP_ALIGN.CENTER)
-    add_textbox(slide, x, Inches(2.6), Inches(3.5), Inches(0.3),
-                krw, font_size=12, color=TEXT_DIM, alignment=PP_ALIGN.CENTER)
-
-# 항목별 비용 상세 테이블
-add_textbox(slide, Inches(0.5), Inches(3.6), Inches(5), Inches(0.4),
-            "항목별 비용 상세", font_size=16, color=TEXT, bold=True)
-
-headers = ["항목", "Stage 1", "Stage 2", "Stage 3"]
-rows = [
-    ["App Server", "$50~70", "$200~400", "$600~1,000"],
-    ["Nginx", "포함", "포함 / VM $15~30", "VM $30~60"],
-    ["MySQL Primary", "B1ms $15~25", "GP $130~160", "BC $350~450"],
-    ["MySQL Replica", "-", "GP x1 $130~160", "BC x2 $260~360"],
-    ["Redis", "-", "-", "P1 $225"],
-    ["스토리지/네트워크", "$10~20", "$55~100", "$160~270"],
-    ["AI API (합계)", "$90~280", "$400~1,250", "$2,100~5,800"],
-]
-add_table(slide, Inches(0.5), Inches(4.1), Inches(12.3), Inches(3.0), headers, rows)
-
-
-# ── Slide 7: 비용 구성 비중 & DB 용량 ──
-slide = prs.slides.add_slide(blank_layout)
-set_slide_bg(slide, BG)
-
-add_section_number(slide, Inches(0.5), Inches(0.4), "3")
-add_textbox(slide, Inches(1.0), Inches(0.35), Inches(8), Inches(0.5),
-            "Stage 3 비용 구성 & DB 용량", font_size=26, color=ACCENT, bold=True)
-
-# 좌측: Stage 3 비용 구성 (수평 바 차트 시뮬레이션)
-add_textbox(slide, Inches(0.5), Inches(1.2), Inches(5), Inches(0.4),
-            "Stage 3 월 비용 구성 비중", font_size=16, color=TEXT, bold=True)
-
-cost_items = [
-    ("Creatomate", 2000, RED),
-    ("Suno AI", 1400, ORANGE),
-    ("App Server", 800, ACCENT),
-    ("OpenAI API", 550, ACCENT2),
-    ("MySQL Primary", 400, ORANGE),
-    ("MySQL Replica x2", 310, ORANGE),
-    ("Redis Premium", 225, RED),
-    ("스토리지/네트워크", 215, GREEN),
-    ("Nginx", 45, GREEN),
-]
-total = sum(v for _, v, _ in cost_items)
-max_bar_width = 5.0  # inches
-
-y_start = Inches(1.7)
-for i, (label, value, color) in enumerate(cost_items):
-    y = y_start + Emu(int(i * Inches(0.45)))
-    bar_w = Inches(max_bar_width * value / total)
-
-    # 바
-    bar = slide.shapes.add_shape(MSO_SHAPE.ROUNDED_RECTANGLE, Inches(2.2), y, bar_w, Inches(0.32))
-    bar.fill.solid()
-    bar.fill.fore_color.rgb = color
-    bar.line.fill.background()
-
-    # 레이블
-    add_textbox(slide, Inches(0.5), y, Inches(1.6), Inches(0.32),
-                label, font_size=9, color=TEXT_DIM, alignment=PP_ALIGN.RIGHT)
-
-    # 값
-    pct = value / total * 100
-    val_x = Inches(2.3) + bar_w
-    add_textbox(slide, val_x, y, Inches(1.5), Inches(0.32),
-                f"${value:,} ({pct:.0f}%)", font_size=9, color=TEXT_DIM)
-
-add_textbox(slide, Inches(0.5), y_start + Emu(int(len(cost_items) * Inches(0.45))), Inches(6), Inches(0.3),
-            f"AI API 비중: 전체의 약 66% (${(2000+1400+550):,} / ${total:,})",
-            font_size=11, color=ACCENT, bold=True)
-
-# 우측: DB 용량 예측
-add_textbox(slide, Inches(7.5), Inches(1.2), Inches(5), Inches(0.4),
-            "DB 용량 예측 (1년 후)", font_size=16, color=TEXT, bold=True)
-
-headers = ["", "Stage 1\n(500명)", "Stage 2\n(5,000명)", "Stage 3\n(50,000명)"]
-rows = [
-    ["DB 용량", "~1.2GB", "~12GB", "~120GB"],
-    ["Blob 스토리지", "~1.1TB", "~11TB", "~110TB"],
-    ["MySQL 추천", "32GB SSD", "128GB SSD", "512GB SSD"],
-]
-add_table(slide, Inches(7.5), Inches(1.7), Inches(5.3), Inches(1.8), headers, rows)
-
-# 비용 최적화 팁
-add_textbox(slide, Inches(7.5), Inches(3.8), Inches(5), Inches(0.4),
-            "비용 최적화 팁", font_size=16, color=TEXT, bold=True)
-
-items = [
-    ("3rd party 의존도: ", "낮춰야 함 (AI API가 전체 비용의 66%)"),
-    ("Blob Lifecycle: ", "30일 미접근 미디어 → Cool 티어 자동 이전"),
-    ("App Server: ", "비활성 시간대(야간) 인스턴스 축소"),
-    ("OpenAI Batch API: ", "비실시간 가사생성은 50% 절감 가능"),
-    ("Reserved Instances: ", "1년 예약 시 ~30% 할인"),
-]
-add_bullet_list(slide, Inches(7.5), Inches(4.3), Inches(5.3), Inches(3), items, font_size=11)
-
-
-# ── 저장 ──
-output_path = "/Users/marineyang/Desktop/work/code/o2o-castad-backend/docs/architecture.pptx"
-prs.save(output_path)
-print(f"PPT 생성 완료: {output_path}")

main.py

@@ -21,7 +21,6 @@ from app.sns.api.routers.v1.sns import router as sns_router
 from app.video.api.routers.v1.video import router as video_router
 from app.social.api.routers.v1.oauth import router as social_oauth_router
 from app.social.api.routers.v1.upload import router as social_upload_router
-from app.social.api.routers.v1.seo import router as social_seo_router
 from app.utils.cors import CustomCORSMiddleware
 from config import prj_settings
 
@@ -361,7 +360,6 @@ app.include_router(video_router)
 app.include_router(archive_router)  # Archive API 라우터 추가
 app.include_router(social_oauth_router, prefix="/social")  # Social OAuth 라우터 추가
 app.include_router(social_upload_router, prefix="/social")  # Social Upload 라우터 추가
-app.include_router(social_seo_router, prefix="/social")  # Social Upload 라우터 추가
 app.include_router(sns_router)  # SNS API 라우터 추가
 
 # DEBUG 모드에서만 테스트 라우터 등록

token_log_plan.md

@@ -1,422 +0,0 @@
-# 서버 JWT 토큰 라이프사이클 로깅 강화 계획
-
-## 1. 토큰 라이프사이클 개요
-
-서버가 직접 발급/관리하는 JWT 토큰의 전체 흐름:
-
-```
-[발급] kakao_login() / generate_test_token()
-  ├── Access Token  생성 (sub=user_uuid, type=access, exp=60분)
-  ├── Refresh Token 생성 (sub=user_uuid, type=refresh, exp=7일)
-  └── Refresh Token DB 저장 (token_hash, user_id, expires_at)
-         │
-         ▼
-[검증] get_current_user() — 매 요청마다 Access Token 검증
-  ├── Bearer 헤더에서 토큰 추출
-  ├── decode_token() → payload (sub, type, exp)
-  ├── type == "access" 확인
-  └── user_uuid로 사용자 조회/활성 확인
-         │
-         ▼
-[갱신] refresh_tokens() — Access Token 만료 시 Refresh Token으로 갱신
-  ├── 기존 Refresh Token 디코딩 → payload
-  ├── token_hash로 DB 조회 → is_revoked / expires_at 확인
-  ├── 기존 Refresh Token 폐기 (is_revoked=True)
-  ├── 새 Access Token + 새 Refresh Token 발급
-  └── 새 Refresh Token DB 저장
-         │
-         ▼
-[폐기] logout() / logout_all()
-  ├── 단일: token_hash로 해당 Refresh Token 폐기
-  └── 전체: user_id로 모든 Refresh Token 폐기
-```
-
----
-
-## 2. 현황 분석 — 로깅 공백 지점
-
-### 발급 단계
-| 위치 | 함수 | 현재 로깅 | 부족한 정보 |
-|------|------|----------|------------|
-| `jwt.py` | `create_access_token()` | 없음 | 발급 대상(user_uuid), 만료시간 |
-| `jwt.py` | `create_refresh_token()` | 없음 | 발급 대상(user_uuid), 만료시간 |
-| `auth.py` (service) | `_save_refresh_token()` | 없음 | DB 저장 결과(token_hash, expires_at) |
-| `auth.py` (service) | `kakao_login()` | `debug`로 토큰 앞 30자 출력 | 충분 (변경 불필요) |
-
-### 검증 단계
-| 위치 | 함수 | 현재 로깅 | 부족한 정보 |
-|------|------|----------|------------|
-| `jwt.py` | `decode_token()` | 없음 | 디코딩 성공 시 payload 내용, 실패 시 원인 |
-| `auth.py` (dependency) | `get_current_user()` | 없음 | 검증 각 단계 통과/실패 사유, 토큰 내 정보 |
-| `auth.py` (dependency) | `get_current_user_optional()` | 없음 | 위와 동일 |
-
-### 갱신 단계
-| 위치 | 함수 | 현재 로깅 | 부족한 정보 |
-|------|------|----------|------------|
-| `auth.py` (router) | `refresh_token()` | 없음 | 수신 토큰 정보, 갱신 결과 |
-| `auth.py` (service) | `refresh_tokens()` | 진입/완료 `info` 1줄씩 | 각 단계 실패 사유, DB 토큰 상태, 신규 토큰 정보 |
-
-### 폐기 단계
-| 위치 | 함수 | 현재 로깅 | 부족한 정보 |
-|------|------|----------|------------|
-| `auth.py` (router) | `logout()`, `logout_all()` | 없음 | 요청 수신, 대상 사용자 |
-| `auth.py` (service) | `logout()`, `logout_all()` | 없음 | 폐기 대상, 폐기 결과 |
-
----
-
-## 3. 수정 대상 파일
-
-| # | 파일 | 수정 내용 |
-|---|------|----------|
-| 1 | `app/user/services/jwt.py` | 토큰 발급 로그 + `decode_token()` 실패 원인 분류 |
-| 2 | `app/user/dependencies/auth.py` | Access Token 검증 과정 로깅 |
-| 3 | `app/user/services/auth.py` | `refresh_tokens()`, `_save_refresh_token()`, `logout()`, `logout_all()` 로깅 |
-| 4 | `app/user/api/routers/v1/auth.py` | `refresh_token()`, `logout()`, `logout_all()` 라우터 로깅 |
-
----
-
-## 4. 상세 구현 계획
-
-### 4-1. `jwt.py` — 토큰 발급 로그 + 디코딩 실패 원인 분류
-
-**import 추가:**
-```python
-import logging
-from jose import JWTError, ExpiredSignatureError, JWTClaimsError, jwt
-
-logger = logging.getLogger(__name__)
-```
-
-**`create_access_token()` — 발급 로그 추가:**
-```python
-def create_access_token(user_uuid: str) -> str:
-    expire = now() + timedelta(minutes=jwt_settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES)
-    to_encode = {"sub": user_uuid, "exp": expire, "type": "access"}
-    token = jwt.encode(to_encode, jwt_settings.JWT_SECRET, algorithm=jwt_settings.JWT_ALGORITHM)
-    logger.debug(f"[JWT] Access Token 발급 - user_uuid: {user_uuid}, expires: {expire}, token: ...{token[-20:]}")
-    return token
-```
-
-**`create_refresh_token()` — 발급 로그 추가:**
-```python
-def create_refresh_token(user_uuid: str) -> str:
-    expire = now() + timedelta(days=jwt_settings.JWT_REFRESH_TOKEN_EXPIRE_DAYS)
-    to_encode = {"sub": user_uuid, "exp": expire, "type": "refresh"}
-    token = jwt.encode(to_encode, jwt_settings.JWT_SECRET, algorithm=jwt_settings.JWT_ALGORITHM)
-    logger.debug(f"[JWT] Refresh Token 발급 - user_uuid: {user_uuid}, expires: {expire}, token: ...{token[-20:]}")
-    return token
-```
-
-**`decode_token()` — 성공/실패 분류 로그:**
-```python
-def decode_token(token: str) -> Optional[dict]:
-    try:
-        payload = jwt.decode(token, jwt_settings.JWT_SECRET, algorithms=[jwt_settings.JWT_ALGORITHM])
-        logger.debug(
-            f"[JWT] 토큰 디코딩 성공 - type: {payload.get('type')}, "
-            f"sub: {payload.get('sub')}, exp: {payload.get('exp')}, "
-            f"token: ...{token[-20:]}"
-        )
-        return payload
-    except ExpiredSignatureError:
-        logger.info(f"[JWT] 토큰 만료 - token: ...{token[-20:]}")
-        return None
-    except JWTClaimsError as e:
-        logger.warning(f"[JWT] 클레임 검증 실패 - error: {e}, token: ...{token[-20:]}")
-        return None
-    except JWTError as e:
-        logger.warning(f"[JWT] 토큰 디코딩 실패 - error: {type(e).__name__}: {e}, token: ...{token[-20:]}")
-        return None
-```
-
-### 4-2. `dependencies/auth.py` — Access Token 검증 로깅
-
-**import 추가:**
-```python
-import logging
-logger = logging.getLogger(__name__)
-```
-
-**`get_current_user()` — 검증 과정 로그:**
-```python
-async def get_current_user(...) -> User:
-    if credentials is None:
-        logger.info("[AUTH-DEP] 토큰 없음 - MissingTokenError")
-        raise MissingTokenError()
-
-    token = credentials.credentials
-    logger.debug(f"[AUTH-DEP] Access Token 검증 시작 - token: ...{token[-20:]}")
-
-    payload = decode_token(token)
-    if payload is None:
-        logger.warning(f"[AUTH-DEP] Access Token 디코딩 실패 - token: ...{token[-20:]}")
-        raise InvalidTokenError()
-
-    if payload.get("type") != "access":
-        logger.warning(f"[AUTH-DEP] 토큰 타입 불일치 - expected: access, got: {payload.get('type')}, sub: {payload.get('sub')}")
-        raise InvalidTokenError("액세스 토큰이 아닙니다.")
-
-    user_uuid = payload.get("sub")
-    if user_uuid is None:
-        logger.warning(f"[AUTH-DEP] 토큰에 sub 클레임 없음 - token: ...{token[-20:]}")
-        raise InvalidTokenError()
-
-    # 사용자 조회
-    result = await session.execute(...)
-    user = result.scalar_one_or_none()
-
-    if user is None:
-        logger.warning(f"[AUTH-DEP] 사용자 미존재 - user_uuid: {user_uuid}")
-        raise UserNotFoundError()
-
-    if not user.is_active:
-        logger.warning(f"[AUTH-DEP] 비활성 사용자 접근 - user_uuid: {user_uuid}, user_id: {user.id}")
-        raise UserInactiveError()
-
-    logger.debug(f"[AUTH-DEP] Access Token 검증 성공 - user_uuid: {user_uuid}, user_id: {user.id}")
-    return user
-```
-
-**`get_current_user_optional()` — 동일 패턴, `debug` 레벨:**
-```python
-async def get_current_user_optional(...) -> Optional[User]:
-    if credentials is None:
-        logger.debug("[AUTH-DEP] 선택적 인증 - 토큰 없음")
-        return None
-
-    token = credentials.credentials
-    payload = decode_token(token)
-    if payload is None:
-        logger.debug(f"[AUTH-DEP] 선택적 인증 - 디코딩 실패, token: ...{token[-20:]}")
-        return None
-
-    if payload.get("type") != "access":
-        logger.debug(f"[AUTH-DEP] 선택적 인증 - 타입 불일치 (type={payload.get('type')})")
-        return None
-
-    user_uuid = payload.get("sub")
-    if user_uuid is None:
-        logger.debug("[AUTH-DEP] 선택적 인증 - sub 없음")
-        return None
-
-    result = await session.execute(...)
-    user = result.scalar_one_or_none()
-
-    if user is None or not user.is_active:
-        logger.debug(f"[AUTH-DEP] 선택적 인증 - 사용자 미존재 또는 비활성, user_uuid: {user_uuid}")
-        return None
-
-    logger.debug(f"[AUTH-DEP] 선택적 인증 성공 - user_uuid: {user_uuid}, user_id: {user.id}")
-    return user
-```
-
-### 4-3. `services/auth.py` — Refresh Token 갱신/폐기 로깅
-
-**`refresh_tokens()` — 전체 흐름 로그:**
-```python
-async def refresh_tokens(self, refresh_token: str, session: AsyncSession) -> TokenResponse:
-    logger.info(f"[AUTH] 토큰 갱신 시작 (Rotation) - token: ...{refresh_token[-20:]}")
-
-    # 1. 디코딩
-    payload = decode_token(refresh_token)
-    if payload is None:
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [1/8 디코딩] - token: ...{refresh_token[-20:]}")
-        raise InvalidTokenError()
-
-    if payload.get("type") != "refresh":
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [1/8 타입] - type={payload.get('type')}, sub: {payload.get('sub')}")
-        raise InvalidTokenError("리프레시 토큰이 아닙니다.")
-
-    logger.debug(f"[AUTH] 토큰 갱신 [1/8] 디코딩 성공 - sub: {payload.get('sub')}, exp: {payload.get('exp')}")
-
-    # 2. DB 조회
-    token_hash = get_token_hash(refresh_token)
-    db_token = await self._get_refresh_token_by_hash(token_hash, session)
-
-    if db_token is None:
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [2/8 DB조회] - DB에 없음, token_hash: {token_hash[:16]}...")
-        raise InvalidTokenError()
-
-    logger.debug(f"[AUTH] 토큰 갱신 [2/8] DB 조회 성공 - token_hash: {token_hash[:16]}..., user_uuid: {db_token.user_uuid}, is_revoked: {db_token.is_revoked}, expires_at: {db_token.expires_at}")
-
-    # 3. 폐기 여부
-    if db_token.is_revoked:
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [3/8 폐기됨] - 이미 폐기된 토큰 (replay attack 의심), token_hash: {token_hash[:16]}..., user_uuid: {db_token.user_uuid}, revoked_at: {db_token.revoked_at}")
-        raise TokenRevokedError()
-
-    # 4. 만료 확인
-    if db_token.expires_at < now().replace(tzinfo=None):
-        logger.info(f"[AUTH] 토큰 갱신 실패 [4/8 만료] - expires_at: {db_token.expires_at}, user_uuid: {db_token.user_uuid}")
-        raise TokenExpiredError()
-
-    # 5. 사용자 확인
-    user_uuid = payload.get("sub")
-    user = await self._get_user_by_uuid(user_uuid, session)
-
-    if user is None:
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [5/8 사용자] - 사용자 미존재, user_uuid: {user_uuid}")
-        raise UserNotFoundError()
-
-    if not user.is_active:
-        logger.warning(f"[AUTH] 토큰 갱신 실패 [5/8 비활성] - user_uuid: {user_uuid}, user_id: {user.id}")
-        raise UserInactiveError()
-
-    # 6. 기존 토큰 폐기
-    db_token.is_revoked = True
-    db_token.revoked_at = now().replace(tzinfo=None)
-    logger.debug(f"[AUTH] 토큰 갱신 [6/8] 기존 토큰 폐기 - token_hash: {token_hash[:16]}...")
-
-    # 7. 새 토큰 발급
-    new_access_token = create_access_token(user.user_uuid)
-    new_refresh_token = create_refresh_token(user.user_uuid)
-    logger.debug(f"[AUTH] 토큰 갱신 [7/8] 새 토큰 발급 - new_access: ...{new_access_token[-20:]}, new_refresh: ...{new_refresh_token[-20:]}")
-
-    # 8. 새 Refresh Token DB 저장 + 커밋
-    await self._save_refresh_token(user_id=user.id, user_uuid=user.user_uuid, token=new_refresh_token, session=session)
-    await session.commit()
-
-    logger.info(f"[AUTH] 토큰 갱신 완료 [8/8] - user_uuid: {user.user_uuid}, user_id: {user.id}, old_hash: {token_hash[:16]}..., new_refresh: ...{new_refresh_token[-20:]}")
-    return TokenResponse(...)
-```
-
-**`_save_refresh_token()` — DB 저장 로그:**
-```python
-async def _save_refresh_token(self, ...) -> RefreshToken:
-    token_hash = get_token_hash(token)
-    expires_at = get_refresh_token_expires_at()
-
-    refresh_token = RefreshToken(...)
-    session.add(refresh_token)
-    await session.flush()
-
-    logger.debug(f"[AUTH] Refresh Token DB 저장 - user_uuid: {user_uuid}, token_hash: {token_hash[:16]}..., expires_at: {expires_at}")
-    return refresh_token
-```
-
-**`logout()` — 단일 로그아웃 로그:**
-```python
-async def logout(self, user_id: int, refresh_token: str, session: AsyncSession) -> None:
-    token_hash = get_token_hash(refresh_token)
-    logger.info(f"[AUTH] 로그아웃 - user_id: {user_id}, token_hash: {token_hash[:16]}..., token: ...{refresh_token[-20:]}")
-    await self._revoke_refresh_token_by_hash(token_hash, session)
-    logger.info(f"[AUTH] 로그아웃 완료 - user_id: {user_id}")
-```
-
-**`logout_all()` — 전체 로그아웃 로그:**
-```python
-async def logout_all(self, user_id: int, session: AsyncSession) -> None:
-    logger.info(f"[AUTH] 전체 로그아웃 - user_id: {user_id}")
-    await self._revoke_all_user_tokens(user_id, session)
-    logger.info(f"[AUTH] 전체 로그아웃 완료 - user_id: {user_id}")
-```
-
-### 4-4. `routers/v1/auth.py` — 라우터 진입/완료 로깅
-
-```python
-# POST /auth/refresh
-async def refresh_token(body, session) -> TokenResponse:
-    logger.info(f"[ROUTER] POST /auth/refresh - token: ...{body.refresh_token[-20:]}")
-    result = await auth_service.refresh_tokens(refresh_token=body.refresh_token, session=session)
-    logger.info(f"[ROUTER] POST /auth/refresh 완료 - new_access: ...{result.access_token[-20:]}, new_refresh: ...{result.refresh_token[-20:]}")
-    return result
-
-# POST /auth/logout
-async def logout(body, current_user, session) -> Response:
-    logger.info(f"[ROUTER] POST /auth/logout - user_id: {current_user.id}, user_uuid: {current_user.user_uuid}, token: ...{body.refresh_token[-20:]}")
-    await auth_service.logout(user_id=current_user.id, refresh_token=body.refresh_token, session=session)
-    logger.info(f"[ROUTER] POST /auth/logout 완료 - user_id: {current_user.id}")
-    return Response(status_code=status.HTTP_204_NO_CONTENT)
-
-# POST /auth/logout/all
-async def logout_all(current_user, session) -> Response:
-    logger.info(f"[ROUTER] POST /auth/logout/all - user_id: {current_user.id}, user_uuid: {current_user.user_uuid}")
-    await auth_service.logout_all(user_id=current_user.id, session=session)
-    logger.info(f"[ROUTER] POST /auth/logout/all 완료 - user_id: {current_user.id}")
-    return Response(status_code=status.HTTP_204_NO_CONTENT)
-```
-
----
-
-## 5. 보안 원칙
-
-| 원칙 | 적용 방법 | 이유 |
-|------|----------|------|
-| 토큰 전체 노출 금지 | 뒷 20자만: `...{token[-20:]}` | 토큰 탈취 시 세션 하이재킹 가능 |
-| 해시값 부분 노출 | 앞 16자만: `{hash[:16]}...` | DB 레코드 식별에 충분 |
-| user_uuid 전체 허용 | 전체 출력 | 내부 식별자, 토큰이 아님 |
-| 페이로드 내용 출력 | `sub`, `type`, `exp` 출력 | 디버깅에 필수, 민감정보 아님 |
-| DB 토큰 상태 출력 | `is_revoked`, `expires_at`, `revoked_at` | 토큰 라이프사이클 추적 |
-| 로그 레벨 구분 | 하단 표 참조 | 운영 환경에서 불필요한 로그 억제 |
-
-### 로그 레벨 기준
-
-| 레벨 | 사용 기준 | 예시 |
-|------|----------|------|
-| `debug` | 정상 처리 과정 상세 (운영환경에서 비활성) | 토큰 발급, 디코딩 성공, 검증 통과 |
-| `info` | 주요 이벤트 (운영환경에서 활성) | 갱신 시작/완료, 로그아웃, 만료로 인한 실패 |
-| `warning` | 비정상/의심 상황 | 디코딩 실패, 폐기된 토큰 사용, 사용자 미존재 |
-
----
-
-## 6. 구현 순서
-
-| 순서 | 파일 | 이유 |
-|------|------|------|
-| 1 | `app/user/services/jwt.py` | 최하위 유틸리티. 토큰 발급/디코딩의 기본 로그 |
-| 2 | `app/user/dependencies/auth.py` | 모든 인증 API의 공통 진입점 |
-| 3 | `app/user/services/auth.py` | 갱신/폐기 비즈니스 로직 |
-| 4 | `app/user/api/routers/v1/auth.py` | 라우터 진입/완료 + 응답 토큰 정보 |
-
----
-
-## 7. 기대 효과 — 시나리오별 로그 출력 예시
-
-### 시나리오 1: 정상 토큰 갱신
-```
-[ROUTER] POST /auth/refresh - token: ...7d90-aac8-ecf1385c
-[AUTH] 토큰 갱신 시작 (Rotation) - token: ...7d90-aac8-ecf1385c
-[JWT] 토큰 디코딩 성공 - type: refresh, sub: 019c5452-b1cf-7d90-aac8-ecf1385c9dc4, exp: 1739450400
-[AUTH] 토큰 갱신 [1/8] 디코딩 성공 - sub: 019c5452-..., exp: 1739450400
-[AUTH] 토큰 갱신 [2/8] DB 조회 성공 - token_hash: a1b2c3d4e5f6g7h8..., is_revoked: False, expires_at: 2026-02-20 11:46:36
-[AUTH] 토큰 갱신 [6/8] 기존 토큰 폐기 - token_hash: a1b2c3d4e5f6g7h8...
-[JWT] Access Token 발급 - user_uuid: 019c5452-..., expires: 2026-02-13 12:46:36
-[JWT] Refresh Token 발급 - user_uuid: 019c5452-..., expires: 2026-02-20 11:46:36
-[AUTH] 토큰 갱신 [7/8] 새 토큰 발급 - new_access: ...xNewAccess12345, new_refresh: ...xNewRefresh6789
-[AUTH] Refresh Token DB 저장 - user_uuid: 019c5452-..., token_hash: f8e9d0c1b2a3..., expires_at: 2026-02-20 11:46:36
-[AUTH] 토큰 갱신 완료 [8/8] - user_uuid: 019c5452-..., user_id: 42, old_hash: a1b2c3d4e5f6g7h8..., new_refresh: ...xNewRefresh6789
-[ROUTER] POST /auth/refresh 완료 - new_access: ...xNewAccess12345, new_refresh: ...xNewRefresh6789
-```
-
-### 시나리오 2: 만료된 Refresh Token으로 갱신 시도
-```
-[ROUTER] POST /auth/refresh - token: ...expiredToken12345
-[AUTH] 토큰 갱신 시작 (Rotation) - token: ...expiredToken12345
-[JWT] 토큰 만료 - token: ...expiredToken12345
-[AUTH] 토큰 갱신 실패 [1/8 디코딩] - token: ...expiredToken12345
-→ 401 InvalidTokenError 응답
-```
-
-### 시나리오 3: 이미 폐기된 Refresh Token 재사용 (Replay Attack)
-```
-[ROUTER] POST /auth/refresh - token: ...revokedToken98765
-[AUTH] 토큰 갱신 시작 (Rotation) - token: ...revokedToken98765
-[JWT] 토큰 디코딩 성공 - type: refresh, sub: 019c5452-..., exp: 1739450400
-[AUTH] 토큰 갱신 [2/8] DB 조회 성공 - token_hash: c3d4e5f6..., is_revoked: True, expires_at: 2026-02-20
-[AUTH] 토큰 갱신 실패 [3/8 폐기됨] - replay attack 의심, token_hash: c3d4e5f6..., user_uuid: 019c5452-..., revoked_at: 2026-02-13 10:30:00
-→ 401 TokenRevokedError 응답
-```
-
-### 시나리오 4: Access Token 검증 (매 API 요청)
-```
-[AUTH-DEP] Access Token 검증 시작 - token: ...validAccess12345
-[JWT] 토큰 디코딩 성공 - type: access, sub: 019c5452-..., exp: 1739450400
-[AUTH-DEP] Access Token 검증 성공 - user_uuid: 019c5452-..., user_id: 42
-```
-
-### 시나리오 5: 로그아웃
-```
-[ROUTER] POST /auth/logout - user_id: 42, user_uuid: 019c5452-..., token: ...refreshToRevoke99
-[AUTH] 로그아웃 - user_id: 42, token_hash: d5e6f7g8..., token: ...refreshToRevoke99
-[AUTH] 로그아웃 완료 - user_id: 42
-[ROUTER] POST /auth/logout 완료 - user_id: 42
-```