유튜브 SEO 설명 추가 PoC
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@ -292,7 +292,6 @@ async def generate_lyric(
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"promotional_expression_example" : promotional_expressions[request_body.language],
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"timing_rules" : timing_rules["60s"], # 아직은 선택지 하나
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}
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estimated_prompt = lyric_prompt.build_prompt(lyric_input_data)
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step1_elapsed = (time.perf_counter() - step1_start) * 1000
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#logger.debug(f"[generate_lyric] Step 1 완료 - 프롬프트 {len(prompt)}자 ({step1_elapsed:.1f}ms)")
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@ -4,10 +4,11 @@
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소셜 미디어 영상 업로드 관련 엔드포인트를 제공합니다.
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"""
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import logging
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import logging, json
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from typing import Optional
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from fastapi import APIRouter, BackgroundTasks, Depends, Query
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from fastapi import HTTPException, status
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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@ -22,12 +23,17 @@ from app.social.schemas import (
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SocialUploadRequest,
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SocialUploadResponse,
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SocialUploadStatusResponse,
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YoutubeDescriptionRequest,
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YoutubeDescriptionResponse,
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)
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from app.social.services import social_account_service
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from app.social.worker.upload_task import process_social_upload
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from app.user.dependencies import get_current_user
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from app.user.models import User
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from app.home.models import Project, MarketingIntel
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from app.video.models import Video
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from app.utils.prompts.prompts import yt_upload_prompt
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from app.utils.chatgpt_prompt import ChatgptService, ChatGPTResponseError
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logger = logging.getLogger(__name__)
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@ -403,16 +409,12 @@ async def cancel_upload(
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upload = result.scalar_one_or_none()
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if not upload:
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from fastapi import HTTPException, status
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="업로드 정보를 찾을 수 없습니다.",
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)
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if upload.status != UploadStatus.PENDING.value:
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from fastapi import HTTPException, status
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="대기 중인 업로드만 취소할 수 있습니다.",
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@ -425,3 +427,62 @@ async def cancel_upload(
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success=True,
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message="업로드가 취소되었습니다.",
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)
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@router.post(
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"/autodescription",
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response_model=YoutubeDescriptionResponse,
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summary="유튜브 SEO descrption 생성",
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description="유튜브 업로드 시 사용할 descrption을 SEO 적용하여 생성",
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)
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async def youtube_seo_description(
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request_body: YoutubeDescriptionRequest,
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current_user: User = Depends(get_current_user),
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session: AsyncSession = Depends(get_session),
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) -> YoutubeDescriptionResponse:
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logger.info(
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f"[youtube_seo_description] START - user: {current_user.user_uuid} "
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)
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try:
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task_id = request_body.task_id
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project_query = await session.execute(
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select(Project)
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.where(
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Project.task_id == task_id,
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Project.user_uuid == current_user.user_uuid)
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.order_by(Project.created_at.desc())
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.limit(1)
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)
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project = project_query.scalar_one_or_none()
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marketing_query = await session.execute(
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select(MarketingIntel)
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.where(MarketingIntel.id == project.marketing_inteligence)
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)
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marketing_intelligence = marketing_query.scalar_one_or_none()
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hashtags = marketing_intelligence.intel_result["target_keywords"]
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yt_seo_input_data = {
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"customer_name" : project.store_name,
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"detail_region_info" : project.detail_region_info,
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"marketing_intelligence_summary" : json.dumps(marketing_intelligence.intel_result, ensure_ascii=False),
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"language" : project.language,
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"target_keywords" : hashtags
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}
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chatgpt = ChatgptService()
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yt_seo_output = await chatgpt.generate_structured_output(yt_upload_prompt, yt_seo_input_data)
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response = YoutubeDescriptionResponse(
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title=yt_seo_output.title,
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description=yt_seo_output.description,
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keywords = hashtags
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)
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return response
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except Exception as e:
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logger.error(f"[youtube_seo_description] EXCEPTION - error: {e}")
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raise HTTPException(
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status_code=500,
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detail=f"유튜브 SEO 생성에 실패했습니다. : {str(e)}",
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)
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@ -276,6 +276,32 @@ class SocialUploadHistoryResponse(BaseModel):
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}
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)
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class YoutubeDescriptionRequest(BaseModel):
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"""유튜브 SEO Description 제안 (자동완성) Request 모델"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"task_id" : "019c739f-65fc-7d15-8c88-b31be00e588e"
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}
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}
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)
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task_id: str = Field(..., description="작업 고유 식별자")
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class YoutubeDescriptionResponse(BaseModel):
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"""유튜브 SEO Description 제안 (자동완성) Response 모델"""
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title:str = Field(..., description="유튜브 영상 제목 - SEO/AEO 최적화")
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description : str = Field(..., description="제안된 유튜브 SEO Description")
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keywords : list[str] = Field(..., description="해시태그 리스트")
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"title" : "여기에 더미 타이틀",
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"description": "여기에 더미 텍스트",
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"keywords": ["여기에", "더미", "해시태그"]
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}
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}
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)
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# =============================================================================
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# 공통 응답 스키마
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@ -82,7 +82,7 @@ class ChatgptService:
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self,
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prompt : Prompt,
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input_data : dict,
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) -> str:
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) -> BaseModel:
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prompt_text = prompt.build_prompt(input_data)
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logger.debug(f"[ChatgptService] Generated Prompt (length: {len(prompt_text)})")
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@ -52,6 +52,14 @@ lyric_prompt = Prompt(
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prompt_model = prompt_settings.LYRIC_PROMPT_MODEL
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)
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yt_upload_prompt = Prompt(
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prompt_template_path=os.path.join(prompt_settings.PROMPT_FOLDER_ROOT, prompt_settings.YOUTUBE_PROMPT_FILE_NAME),
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prompt_input_class = YTUploadPromptInput,
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prompt_output_class = YTUploadPromptOutput,
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prompt_model = prompt_settings.YOUTUBE_PROMPT_MODEL
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)
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def reload_all_prompt():
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marketing_prompt._reload_prompt()
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lyric_prompt._reload_prompt()
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lyric_prompt._reload_prompt()
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yt_upload_prompt._reload_prompt()
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@ -1,2 +1,3 @@
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from .lyric import LyricPromptInput, LyricPromptOutput
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from .marketing import MarketingPromptInput, MarketingPromptOutput
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from .marketing import MarketingPromptInput, MarketingPromptOutput
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from .youtube import YTUploadPromptInput, YTUploadPromptOutput
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@ -184,6 +184,8 @@ class PromptSettings(BaseSettings):
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LYRIC_PROMPT_FILE_NAME : str = Field(default="lyric_prompt.txt")
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LYRIC_PROMPT_MODEL : str = Field(default="gpt-5-mini")
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YOUTUBE_PROMPT_FILE_NAME : str = Field(default="yt_upload_prompt.txt")
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YOUTUBE_PROMPT_MODEL : str = Field(default="gpt-5-mini")
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model_config = _base_config
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