fix 智能体知识库 提示词

.idea/workspace.xml

@@ -4,17 +4,17 @@
     <option name="autoReloadType" value="SELECTIVE" />
   </component>
   <component name="ChangeListManager">
-    <list default="true" id="26f8285c-12a3-40dc-b957-23c37b8f3c67" name="Changes" comment="fix">
-      <change afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge/algo_knowledge4.jsonl" afterDir="false" />
+    <list default="true" id="26f8285c-12a3-40dc-b957-23c37b8f3c67" name="Changes" comment="fix 智能体知识库 问题">
+      <change afterPath="$PROJECT_DIR$/src/main/resources/promptwords/algosuggest/algo_suggest.txt" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge/algo_knowledge5.jsonl" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/domain/constant/ChatConstants.java" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/domain/constant/ChatConstants.java" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/service/chatService/ChatServiceImpl.java" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/service/chatService/ChatServiceImpl.java" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/service/sessionService/ChatSessionManager.java" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/service/sessionService/ChatSessionManager.java" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/utils/DataSummaryUtil.java" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/java/pro/spss/server/agent/utils/DataSummaryUtil.java" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/src/main/resources/application-wn.yml" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/application-wn.yml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge1.jsonl" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge/algo_knowledge1.jsonl" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge2.jsonl" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge/algo_knowledge2.jsonl" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge3.jsonl" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_knowledge/algo_knowledge3.jsonl" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/resources/testcases/suggest_algorithm.jsonl" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_suggest_request/suggest_algorithm.jsonl" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/src/main/resources/testcases/suggest_algorithm_bak.jsonl" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/testcases/algo_suggest_request/suggest_algorithm_bak.jsonl" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/main/resources/promptwords/algo_suggest" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/promptwords/algosuggest/algo_suggest_260121.txt" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/main/resources/promptwords/algo_suggest_bak260118" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/promptwords/algosuggest/algo_suggest_260118.txt" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/main/resources/promptwords/algo_suggest_bak260119" beforeDir="false" afterPath="$PROJECT_DIR$/src/main/resources/promptwords/algosuggest/algo_suggest_260119.txt" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
@@ -43,7 +43,7 @@
     "Spring Boot.Application.executor": "Debug",
     "git-widget-placeholder": "master",
     "kotlin-language-version-configured": "true",
-    "last_opened_file_path": "D:/projects/ciecc-agent/src/main/resources/testcases/algo_suggest_request",
+    "last_opened_file_path": "D:/projects/ciecc-agent/src/main/resources/testcases/algo_knowledge",
     "project.structure.last.edited": "Project",
     "project.structure.proportion": "0.15",
     "project.structure.side.proportion": "0.21954022",
@@ -52,13 +52,14 @@
 }]]></component>
   <component name="RecentsManager">
     <key name="CopyFile.RECENT_KEYS">
+      <recent name="D:\projects\ciecc-agent\src\main\resources\testcases\algo_knowledge" />
+      <recent name="D:\projects\ciecc-agent\src\main\resources\promptwords\algosuggest" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases\algo_suggest_request" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases\test_result" />
-      <recent name="D:\projects\ciecc-agent\src\main\resources\promptwords" />
-      <recent name="D:\projects\ciecc-agent\src\main\resources" />
     </key>
     <key name="MoveFile.RECENT_KEYS">
+      <recent name="D:\projects\ciecc-agent\src\main\resources\promptwords" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases\algo_suggest_request" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases\algo_knowledge" />
       <recent name="D:\projects\ciecc-agent\src\main\resources\testcases" />
@@ -109,12 +110,21 @@
       <option name="project" value="LOCAL" />
       <updated>1768958069929</updated>
     </task>
-    <option name="localTasksCounter" value="2" />
+    <task id="LOCAL-00002" summary="fix 智能体知识库 问题">
+      <option name="closed" value="true" />
+      <created>1768978168054</created>
+      <option name="number" value="00002" />
+      <option name="presentableId" value="LOCAL-00002" />
+      <option name="project" value="LOCAL" />
+      <updated>1768978168054</updated>
+    </task>
+    <option name="localTasksCounter" value="3" />
     <servers />
   </component>
   <component name="VcsManagerConfiguration">
     <MESSAGE value="fix" />
-    <option name="LAST_COMMIT_MESSAGE" value="fix" />
+    <MESSAGE value="fix 智能体知识库 问题" />
+    <option name="LAST_COMMIT_MESSAGE" value="fix 智能体知识库 问题" />
   </component>
   <component name="XDebuggerManager">
     <watches-manager>

src/main/java/pro/spss/server/agent/domain/constant/ChatConstants.java

@@ -25,7 +25,7 @@ public class ChatConstants {
 
     public static final String MESSAGE = "message";
 
-    public static final String USER_PROMPT = "\n\n【用户需求】\n";
+    public static final String USER_PROMPT = "\n【用户需求】\n";
 
     public static final String DATA_STATUS = "【当前状态】";
 

src/main/java/pro/spss/server/agent/service/chatService/ChatServiceImpl.java

@@ -131,7 +131,11 @@ public class ChatServiceImpl implements BaseChatService {
     private ResponseMessage executeTool(UserChatMessage userChatMessage, RequestParams requestParams, String toolName, long startTimestamp) {
         String sessionId = userChatMessage.getUserId();
         JSONArray historyCopy = chatSessionManager.getMessages(sessionId);
-        String prompt = userChatMessage.getPrompt();
+        String userPrompt = ChatConstants.USER_PROMPT+userChatMessage.getPrompt();
+        String dataPrompt = requestParams.getDataSummary();
+        String prompt = userPrompt + '\n' +dataPrompt;
+        log.debug("==================prompt=================");
+        log.debug(prompt);
         ResponseMessage responseMessage = conversationHandler.toolExecutor(requestParams, userChatMessage, toolName, historyCopy, prompt);
         responseMessage.setStartTimestamp(startTimestamp);
         responseMessage.setEndTimestamp(System.currentTimeMillis());

src/main/java/pro/spss/server/agent/utils/DataSummaryUtil.java

@@ -14,7 +14,7 @@ import java.util.regex.Pattern;
 public class DataSummaryUtil {
 
     private static final Pattern NUMERIC_PATTERN = Pattern.compile("^-?\\d+(\\.\\d+)?$");
-    private static final int MAX_SAMPLE_VALUES_PER_COLUMN = 3;
+    private static final int MAX_SAMPLE_VALUES_PER_COLUMN = 10;
 
     /**
      * 将 AgentFileReader 返回的样本原文转换为简明的数据概要文本。
@@ -54,7 +54,7 @@ public class DataSummaryUtil {
 
         // 生成概要文本
         StringBuilder sb = new StringBuilder();
-        sb.append("【数据概要】\n");
+        sb.append("\n【数据概要】\n");
         sb.append("列数:").append(colCount).append(" 样本行:").append(dataRowCount).append("\n");
         sb.append("列信息:\n");
         for (int i = 0; i < colCount; i++) {

src/main/resources/testcases/algo_knowledge/algo_knowledge5.jsonl

+[
+  {"name":"最小二乘回归","task":["回归","预测"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["可解释性强","对多重共线性敏感"]},
+  {"name":"岭回归","task":["回归","预测"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["抗多重共线性","模型稳定"]},
+  {"name":"套索回归","task":["回归","预测"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["特征选择","模型稀疏"]},
+  {"name":"多项式回归","task":["回归","预测"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"复杂","property":["拟合弯曲关系","易过拟合"]},
+  {"name":"支持向量机回归","task":["回归","预测"],"data":"非时间序列","relation":"非线性","sample":"偏小样本","complexity":"复杂","property":["小样本表现好","对参数敏感"]},
+  {"name":"BP神经网络","task":["回归","预测"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"复杂","property":["表达能力强","可解释性弱"]},
+  {"name":"梯度提升树","task":["回归","分类","预测"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"复杂","property":["精度高","对噪声敏感"]},
+  {"name":"移动平均法","task":["预测"],"data":"时间序列","relation":"不限","sample":"偏小样本","complexity":"简单","property":["平滑波动","对突变反应慢"]},
+  {"name":"指数平滑法","task":["预测"],"data":"时间序列","relation":"不限","sample":"偏小样本","complexity":"简单","property":["重视近期数据","适合短期预测"]},
+  {"name":"自回归模型（AR）","task":["预测"],"data":"时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["依赖历史值","要求平稳"]},
+  {"name":"滑动平均模型（MA）","task":["预测"],"data":"时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["刻画随机扰动","短期效果好"]},
+  {"name":"自回归滑动平均模型","task":["预测"],"data":"时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["综合AR和MA","预测能力强"]},
+  {"name":"差分自回归移动平均模型","task":["预测"],"data":"时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["处理非平稳序列","建模步骤多"]},
+  {"name":"灰色模型","task":["预测"],"data":"时间序列","relation":"线性","sample":"小样本","complexity":"简单","property":["小样本适用","抗随机性弱"]},
+  {"name":"决策树","task":["分类","决策"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"简单","property":["结构直观","易过拟合"]},
+  {"name":"随机森林","task":["分类","预测"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"复杂","property":["稳定性高","计算量大"]},
+  {"name":"自适应增强算法","task":["分类","预测"],"data":"非时间序列","relation":"非线性","sample":"不限","complexity":"复杂","property":["关注难样本","对噪声敏感"]},
+  {"name":"判别分析","task":["分类"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["模型简洁","分布假设强"]},
+  {"name":"二分类逻辑回归","task":["分类","回归"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["概率输出","可解释性好"]},
+  {"name":"皮尔逊相关分析","task":["相关"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["衡量线性关系","对异常值敏感"]},
+  {"name":"斯皮尔曼相关分析","task":["相关"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["基于秩次","对异常值不敏感"]},
+  {"name":"独立样本t检验","task":["检验"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["比较均值差异","要求正态性"]},
+  {"name":"正态检验","task":["检验"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["检验分布形态","对样本量敏感"]},
+  {"name":"K-均值聚类","task":["聚类"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["速度快","对初始中心敏感"]},
+  {"name":"层次聚类","task":["聚类"],"data":"非时间序列","relation":"不限","sample":"小样本","complexity":"复杂","property":["结构直观","计算量大"]},
+  {"name":"因子分析","task":["降维","评价"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["提取潜在因子","解释性强"]},
+  {"name":"主成分分析","task":["降维"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["信息压缩","可解释性弱"]},
+  {"name":"优劣解距离法","task":["排序","评价"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["结果直观","依赖权重"]},
+  {"name":"秩和比评价法","task":["排序","评价"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"简单","property":["计算简单","信息损失多"]},
+  {"name":"模糊综合评价","task":["评价","排序"],"data":"非时间序列","relation":"不限","sample":"不限","complexity":"复杂","property":["处理模糊信息","主观性强"]},
+  {"name":"数据包络分析（CCR）","task":["效率","评价"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["规模报酬不变","适合同规模对象"]},
+  {"name":"数据包络分析（BCC）","task":["效率","评价"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"复杂","property":["规模报酬可变","区分技术效率"]},
+  {"name":"柯布-道格拉斯生产函数","task":["效率","回归"],"data":"非时间序列","relation":"线性","sample":"不限","complexity":"简单","property":["形式简单","函数假设强"]}
+]
+
+算法标签体系简要说明
+通过标签对算法的适用场景和特性进行结构化描述，用于支持算法自动推荐、条件筛选和规则匹配。
+任务类型：说明算法能解决的问题，如预测、回归、分类、排序、聚类、相关、检验、降维、评价、效率等。
+数据类型：区分是否为时间序列数据。
+关系形式：描述模型刻画关系的方式，包括线性、非线性或不限。
+样本规模：表示算法对样本数量的适应程度，如小样本或不限。
+复杂度：表示算法实现和计算难度，分为简单或复杂。
+通过这些标签，可以将用户需求与算法能力快速匹配，实现智能推荐与筛选。
+
+样本很小、特征少 → 优先简单模型
+特征多、关系明显非线性 → 偏向复杂模型
\ No newline at end of file