fix: exception and logging

Author: yeonju73

app/api/fraud_analysis.py

@@ -15,6 +15,7 @@ async def fraud_analysis(request: FraudRequest):
         answer = await call_gpt(request)
         response = FraudResponse.model_validate_json(answer)
         return response
-        
+    except RuntimeError as e:
+        raise HTTPException(status_code=500, detail=f"사기분석 실패: {e}") from e
     except Exception as e:
-        raise HTTPException(status_code=500, detail=f"사기분석 실패: {e}")
+        raise HTTPException(status_code=500, detail=f"응답 파싱 실패: {e}") from e

app/models/fraud_request.py

@@ -1,8 +1,9 @@
 from pydantic import BaseModel
 from typing import List
+from typing import Optional
 
 class FraudRequest(BaseModel):
-    messageContent: str
+    messageContent: Optional[str] = None
     keywords: List[str]
-    additionalDescription: str
-    imageContent: str
+    additionalDescription: Optional[str] = None
+    imageContent: Optional[str] = None

app/models/fraud_response.py

@@ -1,8 +1,8 @@
-from pydantic import BaseModel, conint
+from pydantic import BaseModel, Field
 from typing import List
 
 class FraudResponse(BaseModel):
     estimatedFraudType: str                  # 분류된 사기 유형
-    keywords: List[str]              # 주요 위험 키워드 (최대 3개)
+    keywords: List[str] = Field(..., min_items=1, max_items=3, description="주요 위험 키워드 (최대 3개)")
     explanation: str                      # 해당 유형으로 판단한 이유
-    score: float                  # 위험도(0~100)
+    score: float = Field(..., ge=0, le=100, description="위험도(0~100)")

app/prompts/fraud_prompts.py

@@ -32,7 +32,6 @@ def get_fraud_detection_prompt(
     assistant_content += (
         "이제 아래 입력을 같은 형식으로 분류하세요:\n"
     )
-    print(assistant_content)
 
     assistant = {
         "role": "assistant",
@@ -44,7 +43,7 @@ def get_fraud_detection_prompt(
         "content": (
             f"messageContent: '{message_content}'\n"
             f"additionalDescription: '{additional_description}'\n"
-            f"keywords: '{keywords}'\n"
+            f"keywords: {', '.join(keywords) if keywords else 'None'}\n"
             f"imageContent: '{image_content}'"
         )
     }

app/services/gpt_service.py

@@ -2,6 +2,9 @@
 from app.config.setting import settings
 from app.models.fraud_request import FraudRequest
 from app.prompts.fraud_prompts import get_fraud_detection_prompt
+import logging
+
+logger = logging.getLogger(__name__)
 
 client = OpenAI(
     api_key = settings.gpt_api_key
@@ -22,11 +25,13 @@ async def call_gpt(request: FraudRequest):
             temperature = 0.5, # 생성된 텍스트의 무작위성을 결정
             max_output_tokens = 200
         )
-        print(response)
+        logger.info(f"GPT API 호출 성공: {response}")
 
     except OpenAIError as e:
-        raise RuntimeError(f"GPT API 호출 실패: {e}")
+        logger.error(f"GPT API 호출 실패: {e}", exc_info=True)
+        raise RuntimeError(f"GPT API 호출 실패: {e}") from e
     except Exception as e:
-        return f"서버 오류 발생: {e}"
+        logger.error(f"서버 오류 발생: {e}", exc_info=True)
+        raise RuntimeError(f"서버 오류 발생: {e}") from e
 
     return response.output_text.strip()

requirements.txt

@@ -1,8 +1,6 @@
 annotated-types==0.7.0
 anyio==4.9.0
-certifi==2025.7.14
 distro==1.9.0
-dotenv==0.9.9
 fastapi==0.116.0
 h11==0.16.0
 httpcore==1.0.9