change home output

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

@@ -259,26 +259,14 @@ async def _crawling_logic(url:str):
             # marketing_analysis = MarketingAnalysis(**parsed)
 
             logger.debug(
-                f"[crawling] structured_report 구조 확인:\n"
+                f"structured_report = {structured_report.model_dump()}"
-                f"{'='*60}\n"
-                f"[report] type: {type(structured_report.get('report'))}\n"
-                f"{'-'*60}\n"
-                f"{structured_report.get('report')}\n"
-                f"{'='*60}\n"
-                f"[tags] type: {type(structured_report.get('tags'))}\n"
-                f"{'-'*60}\n"
-                f"{structured_report.get('tags')}\n"
-                f"{'='*60}\n"
-                f"[selling_points] type: {type(structured_report.get('selling_points'))}\n"
-                f"{'-'*60}\n"
-                f"{structured_report.get('selling_points')}\n"
-                f"{'='*60}"
             )
 
             marketing_analysis = MarketingAnalysis(
-                report=structured_report["report"],
+                report =  structured_report
-                tags=structured_report["tags"],
+                # report = structured_report["report"],
-                selling_points = structured_report["selling_points"]# list([sp['keywords'] for sp in structured_report["selling_points"]])# [json.dumps(structured_report["selling_points"])] # 나중에 Selling Points로 변수와 데이터구조 변경할 것
+                # tags=structured_report["tags"],
+                # selling_points = structured_report["selling_points"]# list([sp['keywords'] for sp in structured_report["selling_points"]])# [json.dumps(structured_report["selling_points"])] # 나중에 Selling Points로 변수와 데이터구조 변경할 것
             )
             # Selling Points 구조
             # print(sp['category'])

app/home/schemas/home_schema.py

@@ -1,7 +1,7 @@
 from typing import Literal, Optional
 
 from pydantic import BaseModel, ConfigDict, Field
-
+from app.utils.prompts.schemas import MarketingPromptOutput
 
 class AttributeInfo(BaseModel):
     """음악 속성 정보"""
@@ -147,21 +147,21 @@ class ProcessedInfo(BaseModel):
     detail_region_info: str = Field(..., description="상세 지역 정보 (roadAddress)")
 
 
-class MarketingAnalysisDetail(BaseModel):
+# class MarketingAnalysisDetail(BaseModel):
-    detail_title : str = Field(..., description="디테일 카테고리 이름")
+#     detail_title : str = Field(..., description="디테일 카테고리 이름")
-    detail_description : str = Field(..., description="해당 항목 설명")
+#     detail_description : str = Field(..., description="해당 항목 설명")
 
-class MarketingAnalysisReport(BaseModel):
+# class MarketingAnalysisReport(BaseModel):
-    """마케팅 분석 리포트 스키마"""
+#     """마케팅 분석 리포트 스키마"""
-    summary : str = Field(..., description="비즈니스 한 줄 요약")
+#     summary : str = Field(..., description="비즈니스 한 줄 요약")
-    details : list[MarketingAnalysisDetail] = Field(default_factory=list, description="개별 디테일")
+#     details : list[MarketingAnalysisDetail] = Field(default_factory=list, description="개별 디테일")
 
 class MarketingAnalysis(BaseModel):
     """마케팅 분석 결과 스키마"""
 
-    report: MarketingAnalysisReport = Field(..., description="마케팅 분석 리포트")
+    report: MarketingPromptOutput = Field(..., description = "마케팅 분석 결과")# MarketingAnalysisReport = Field(..., description="마케팅 분석 리포트")
-    tags: list[str] = Field(default_factory=list, description="추천 태그 목록")
+    # tags: list[str] = Field(default_factory=list, description="추천 태그 목록")
-    selling_points: list[str] = Field(default_factory=list, description="추천 부대시설 목록")
+    # selling_points: list[str] = Field(default_factory=list, description="추천 부대시설 목록")
 
 
 class CrawlingResponse(BaseModel):

app/utils/chatgpt_prompt.py

@@ -51,7 +51,7 @@ class ChatgptService:
             if response.status == "completed":
                 logger.debug(f"[ChatgptService] Response output_text: {response.output_text[:200]}..." if len(response.output_text) > 200 else f"[ChatgptService] Response output_text: {response.output_text}")
                 structured_output = response.output_parsed
-                return structured_output.model_dump() or {}
+                return structured_output #.model_dump() or {}
 
             # 에러 상태 처리
             if response.status == "failed":