round

aggro_model.py

@@ -200,15 +200,15 @@ def get_aggro_score(title: str) -> dict:
     
     # 5. 등급 판정
     if final_score >= 80:
-        reason = f"매우 높음 🔴 (AI: {bert_score:.0f}점, 규칙: {rule_pattern})"
+        reason = f"매우 높음 🔴 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
         recommendation = "전면 수정 권장"
     
     elif final_score >= 60:
-        reason = f"높음 🟠 (AI: {bert_score:.0f}점, 규칙: {rule_pattern})"
+        reason = f"높음 🟠 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
         recommendation = "과장된 표현 수정 필요"
     
     elif final_score >= 40:
-        reason = f"보통 🟡 (AI: {bert_score:.0f}점, 규칙: {rule_pattern})"
+        reason = f"보통 🟡 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
         recommendation = "일부 표현 중립화 권장"
     
     else:

crossref_model.py

@@ -157,7 +157,7 @@ def get_crossref_score_and_reason(article_body: str) -> dict:
         recommendation = "기사의 핵심 사실관계가 타 언론사에서도 다루어지는지 확인이 필요합니다."
     
     return {
-        "score": max(0, min(1, final_score)),
+        "score": max(0, min(1, round(final_score,4))),
         "reason": reason,
         "recommendation": recommendation,
         "paired_results": paired_results

main.py

@@ -98,9 +98,9 @@ def analyze_article(request: ArticleRequest,db: Session = Depends(get_db)):
     )
 
     # 최종 위험도 계산
-    w_aggro = 0.4
-    w_mismatch = 0.4
-    w_crossref = 0.2
+    w_aggro = 0.2
+    w_mismatch = 0.3
+    w_crossref = 0.5
     
     final_score = (real_aggro.score * w_aggro) + \
                   (real_mismatch.score * w_mismatch) + \
@@ -142,7 +142,7 @@ def analyze_article(request: ArticleRequest,db: Session = Depends(get_db)):
     # ------------------------------------------------
     # API 명세서(AnalysisResponse) 형식에 맞춰서 반환
     return AnalysisResponse(
-        final_risk_score=round(final_score, 2), # 소수점 2자리로 반올림
+        final_risk_score=round(final_score, 4), # 소수점 4자리로 반올림
         final_risk_level=final_level,
         breakdown={
             "aggro_score": real_aggro,