....

src/main/kotlin/network/RagService.kt

@@ -7,6 +7,7 @@ import analyzer.FinancialAnalyzer
 import analyzer.FinancialMapper
 import analyzer.FinancialStatement
 import analyzer.InvestmentScores
+import analyzer.ScalpingSignalModel
 import analyzer.TechnicalAnalyzer
 import dev.langchain4j.community.rag.content.retriever.lucene.LuceneEmbeddingStore
 import dev.langchain4j.data.document.Metadata
@@ -248,9 +249,9 @@ object RagService {
                 val techStartTime = System.currentTimeMillis()
                 val financialScore = FinancialAnalyzer.calculateScore(financialStmt)
                 val scores = technicalAnalyzer.calculateScores(financialScore)
-                val techSignal = technicalAnalyzer.generateComprehensiveSignal()
+                tradingDecision.signalModel = technicalAnalyzer.generateComprehensiveSignal()
                 val techDuration = System.currentTimeMillis() - techStartTime
-                println("techSignal.compositeScore ${techSignal.compositeScore}")
+                println("techSignal.compositeScore ${tradingDecision.signalModel}")
 
                 if (!FinancialAnalyzer.isSafetyBeltMet(financialStmt)) {
                     logTime(stockName, "재무 미달 조기 종료", finDuration, System.currentTimeMillis() - totalStartTime)
@@ -258,7 +259,7 @@ object RagService {
                     return@coroutineScope
                 }
 
-                if (techSignal.compositeScore < 50) {
+                if ((tradingDecision.signalModel?.compositeScore ?: 0) < 50) {
                     logTime(stockName, "기술 점수 미달 조기 종료", techDuration, System.currentTimeMillis() - totalStartTime)
                     result(tradingDecision.apply { decision = "HOLD"; reason = "매수 타점 미도달" }, false)
                     return@coroutineScope
@@ -282,7 +283,9 @@ object RagService {
                 )
 
                 // 3. 검색된 내용을 하나의 문자열로 합쳐서 전달
-                tradingDecision.newsContext = finalSearchResult.matches().joinToString("\n\n") {
+                tradingDecision.newsContext = finalSearchResult.matches().distinct() // 중복 제거
+                    .take(4)    // 10개에서 4개로 축소
+                    .joinToString("\n\n")  {
                     it.embedded().text()
                 }
 
@@ -431,8 +434,7 @@ object RagService {
 
         // 1-2. 기술 분석 및 리포트 생성 시간 측정
         val techStartTime = System.currentTimeMillis()
-        val techSignal = tempDecision.analyzer?.generateComprehensiveSignal()
-        val techScore100 = techSignal?.compositeScore?.toDouble() ?: 0.0
+        val techScore100 = tempDecision.signalModel?.compositeScore?.toDouble() ?: 0.0
         val isOverheated = tempDecision.analyzer?.isOverheatedStock() ?: false
         tempDecision.techSummary = tempDecision.analyzer?.generateComprehensiveReport(finScore100.toInt())
         val techDuration = System.currentTimeMillis() - techStartTime
@@ -611,6 +613,7 @@ class TradingDecision {
     var newsContext : String? = null
     var financialData : String? = null
     var analyzer : TechnicalAnalyzer? = null
+    var signalModel : ScalpingSignalModel? = null
 
     fun shortPossible() =
         listOf<Double>(ultraShortScore,