Merge pull request #218 from FunD-StockProject/fix/score-no-data

Fix: 크롤링 데이터 없을 시, 랜덤 점수 생성되던 것을 제거

Author: MuuiGong

scripts/update.py

@@ -369,48 +369,42 @@ def extract_top_keywords(texts_with_weights, top_n=10):
     ]
 
     try:
-        try:
-            texts_with_weights = fetch_texts_from_crawler(symbol, country)
-            if texts_with_weights:
-                # 점수 계산
-                keyword_score = calculate_keyword_score(texts_with_weights, weighted_keywords)
-                pattern_score = calculate_pattern_score(texts_with_weights, positive_patterns, negative_patterns)
-                sentiment_score = calculate_sentiment_score(texts_with_weights, weighted_keywords, positive_patterns, negative_patterns)
-                
-                final_score = (0.6 * keyword_score + 0.2 * sentiment_score + 0.2 * pattern_score)
-                final_score = max(0, min(100, int(round(final_score))))
-                
-                # 키워드 추출
-                top_keywords = extract_top_keywords(texts_with_weights, top_n=10)
-                
-                result = {
-                    "final_score": final_score,
-                    "top_keywords": top_keywords
-                }
-            else:
-                import random
-                random.seed(hash(symbol) % 10000)
-                final_score = random.randint(30, 70)
-                result = {
-                    "final_score": final_score,
-                    "top_keywords": []
-                }
-        except Exception as crawler_error:
-            import random
-            random.seed(hash(symbol) % 10000)
-            final_score = random.randint(30, 70)
-            result = {
-                "final_score": final_score,
-                "top_keywords": []
+        texts_with_weights = fetch_texts_from_crawler(symbol, country)
+        if not texts_with_weights:
+            # 크롤링 데이터가 없으면 에러 반환 (점수 생성하지 않음)
+            error_result = {
+                "error": "No data available from crawler",
+                "symbol": symbol,
+                "country": country
             }
+            print(json.dumps(error_result, ensure_ascii=False, indent=2))
+            sys.exit(1)
+        
+        # 점수 계산
+        keyword_score = calculate_keyword_score(texts_with_weights, weighted_keywords)
+        pattern_score = calculate_pattern_score(texts_with_weights, positive_patterns, negative_patterns)
+        sentiment_score = calculate_sentiment_score(texts_with_weights, weighted_keywords, positive_patterns, negative_patterns)
+        
+        final_score = (0.6 * keyword_score + 0.2 * sentiment_score + 0.2 * pattern_score)
+        final_score = max(0, min(100, int(round(final_score))))
+        
+        # 키워드 추출
+        top_keywords = extract_top_keywords(texts_with_weights, top_n=10)
+        
+        result = {
+            "final_score": final_score,
+            "top_keywords": top_keywords
+        }
 
         print(json.dumps(result, ensure_ascii=False, indent=2))
         sys.exit(0)
 
     except Exception as e:
-        result = {
-            "final_score": 50,
-            "top_keywords": []
+        # 크롤링 실패 시 에러 반환 (점수 생성하지 않음)
+        error_result = {
+            "error": str(e),
+            "symbol": symbol,
+            "country": country
         }
-        print(json.dumps(result, ensure_ascii=False, indent=2))
+        print(json.dumps(error_result, ensure_ascii=False, indent=2))
         sys.exit(1)

src/main/java/com/fund/stockProject/score/service/ScoreService.java

@@ -404,12 +404,27 @@ private ScoreKeywordResponse executeUpdateAI(String symbol, COUNTRY country) {
             ObjectMapper objectMapper = new ObjectMapper();
             JsonNode jsonNode = objectMapper.readTree(output);
 
+            // 에러 응답 확인
+            if (jsonNode.has("error")) {
+                String errorMessage = jsonNode.get("error").asText();
+                log.error("Python script returned error - symbol: {}, country: {}, error: {}", symbol, country, errorMessage);
+                throw new RuntimeException("Python script returned error: " + errorMessage);
+            }
+
+            // final_score 필드 확인
+            if (!jsonNode.has("final_score")) {
+                log.error("Python script response missing final_score - symbol: {}, country: {}", symbol, country);
+                throw new RuntimeException("Python script response missing final_score");
+            }
+
             int finalScore = jsonNode.get("final_score").asInt();
             List<KeywordDto> topKeywords = new ArrayList<>();
-            for (JsonNode keywordNode : jsonNode.get("top_keywords")) {
-                String word = keywordNode.get("word").asText();
-                int freq = keywordNode.get("freq").asInt();
-                topKeywords.add(new KeywordDto(word, freq));
+            if (jsonNode.has("top_keywords") && jsonNode.get("top_keywords").isArray()) {
+                for (JsonNode keywordNode : jsonNode.get("top_keywords")) {
+                    String word = keywordNode.get("word").asText();
+                    int freq = keywordNode.get("freq").asInt();
+                    topKeywords.add(new KeywordDto(word, freq));
+                }
             }
 
             log.info("Update AI execution completed successfully - symbol: {}, country: {}, score: {}, keywordCount: {}", symbol, country, finalScore, topKeywords.size());