From 0103c1c901ed244a2b7c660279609915575c99d9 Mon Sep 17 00:00:00 2001
From: xs <xins@mesnac.com>
Date: Wed, 14 Jan 2026 17:25:35 +0800
Subject: [PATCH] =?UTF-8?q?1.7.0=E5=90=8E=E7=AB=AF=20feat(AI):=E5=AE=8C?=
 =?UTF-8?q?=E6=88=90AI=E8=87=AA=E5=8A=A8=E7=94=9F=E6=88=90=E6=8A=A5?=
 =?UTF-8?q?=E8=A1=A8=E5=8A=9F=E8=83=BD=EF=BC=9B=20fix(AI)=EF=BC=9A?=
 =?UTF-8?q?=E5=AE=8C=E5=96=84AI=E9=97=AE=E7=AD=94=E3=80=82?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../common/constant/HwMomAiConstants.java     |    7 +
 ruoyi-modules/hwmom-ai/pom.xml                |   94 +-
 .../ai/asr/service/AliAsrServiceImpl.java     |  116 +-
 .../ai/controller/AiAssistantController.java  |    8 +-
 .../ai/controller/AiReportController.java     |  160 ++
 .../ai/domain/dto/AIReportRequest.java        |   34 +
 .../ai/domain/dto/AIReportResponse.java       |   63 +
 .../dromara/ai/domain/dto/AIReportResult.java |   21 +
 .../dromara/ai/domain/dto/StreamResult.java   |   17 +
 .../mapper/SQLServerDatabaseMetaMapper.java   |    7 +
 .../org/dromara/ai/process/dto/AIRequest.java |    6 +
 .../IUnifiedAIProviderProcessor.java          |    4 +
 .../impl/BaseAIProviderProcessor.java         |   48 +-
 .../processor/impl/DeepSeekProcessor.java     |   73 +-
 .../processor/impl/TencentLkeProcessor.java   |    6 +
 .../impl/TongYiQianWenProcessor.java          |    6 +
 .../ai/service/IAIAssistantService.java       |    2 +
 .../dromara/ai/service/IAIReportService.java  |   74 +
 .../ai/service/IAiChatMessageService.java     |    8 +
 .../service/impl/AIAssistantServiceImpl.java  |  879 +++++++-
 .../ai/service/impl/AIReportServiceImpl.java  | 1964 +++++++++++++++++
 .../impl/AiChatMessageServiceImpl.java        |   15 +
 .../mapper/ai/SQLServerDatabaseMetaMapper.xml |    5 +
 23 files changed, 3390 insertions(+), 227 deletions(-)
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiReportController.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportRequest.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResponse.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResult.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/StreamResult.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIReportService.java
 create mode 100644 ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIReportServiceImpl.java

diff --git a/ruoyi-common/hwmom-common-mom/src/main/java/org/dromara/common/constant/HwMomAiConstants.java b/ruoyi-common/hwmom-common-mom/src/main/java/org/dromara/common/constant/HwMomAiConstants.java
index 56a5be0f..ae9bc50b 100644
--- a/ruoyi-common/hwmom-common-mom/src/main/java/org/dromara/common/constant/HwMomAiConstants.java
+++ b/ruoyi-common/hwmom-common-mom/src/main/java/org/dromara/common/constant/HwMomAiConstants.java
@@ -17,15 +17,22 @@ public interface HwMomAiConstants {
     public static final String AI_FORM_SETTING_FIELD_TYPE_DICT = "3";//字典数据
 
 
+    /**
+     * ai_chat_message的messagge_type和ai_chat_message_detail的message_detail_type
+     */
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION = "1";//AI问答
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_KNOWLEDGE_QUESTION = "2";//AI知识库问答
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_SQL = "3";//AI生成SQL
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_FORM = "4";//AI填报
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION_VECTOR = "5";//提问获取向量
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_CONTENT_VECTOR = "6";//上传内容获取向量
+    public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT_SQL = "7";//AI生成报表SQL
+    public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT = "8";//AI生成报表SQL
     public static final String AI_CHAT_MESSAGE_DETAIL_TYPE_TEST = "9";//AI测试
 
 
+    public static final String AI_ASR_RESULT_SUCCESS = "1";//语音识别结果：成功
+    public static final String AI_ASR_RESULT_FAILED = "0";//语音识别结果：失败
 
 
 }
diff --git a/ruoyi-modules/hwmom-ai/pom.xml b/ruoyi-modules/hwmom-ai/pom.xml
index 18f90f0b..1b0e9f18 100644
--- a/ruoyi-modules/hwmom-ai/pom.xml
+++ b/ruoyi-modules/hwmom-ai/pom.xml
@@ -53,6 +53,17 @@
             <artifactId>ruoyi-common-mybatis</artifactId>
         </dependency>
 
+        <dependency>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-compress</artifactId>
+            <version>1.25.0</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.dromara</groupId>
+            <artifactId>ruoyi-common-excel</artifactId>
+        </dependency>
+
         <dependency>
             <groupId>org.dromara</groupId>
             <artifactId>ruoyi-common-dubbo</artifactId>
@@ -114,18 +125,7 @@
         </dependency>
 
 
-        <dependency>
-            <groupId>org.dromara</groupId>
-            <artifactId>hwmom-api-mes</artifactId>
-            <version>2.2.2</version>
-            <scope>compile</scope>
-        </dependency>
-        <dependency>
-            <groupId>org.dromara</groupId>
-            <artifactId>hwmom-api-pda</artifactId>
-            <version>2.2.2</version>
-            <scope>compile</scope>
-        </dependency>
+
 
 
         <dependency>
@@ -175,16 +175,16 @@
         </dependency>
 
         <!-- OpenAI SDK -->
-        <dependency>
-            <groupId>com.theokanning.openai-gpt3-java</groupId>
-            <artifactId>service</artifactId>
-            <version>0.18.0</version>
-        </dependency>
-        <dependency>
-            <groupId>com.theokanning.openai-gpt3-java</groupId>
-            <artifactId>client</artifactId>
-            <version>0.18.0</version>
-        </dependency>
+<!--        <dependency>-->
+<!--            <groupId>com.theokanning.openai-gpt3-java</groupId>-->
+<!--            <artifactId>service</artifactId>-->
+<!--            <version>0.18.0</version>-->
+<!--        </dependency>-->
+<!--        <dependency>-->
+<!--            <groupId>com.theokanning.openai-gpt3-java</groupId>-->
+<!--            <artifactId>client</artifactId>-->
+<!--            <version>0.18.0</version>-->
+<!--        </dependency>-->
 
         <!--阿里云百炼SDK,通义千问-->
         <dependency>
@@ -196,22 +196,22 @@
 
 
         <!-- 本地模型依赖（以sentence-transformers为例） -->
-        <dependency>
-            <groupId>org.tensorflow</groupId>
-            <artifactId>tensorflow-core-platform</artifactId>
-            <version>0.5.0</version>
-        </dependency>
-        <dependency>
-            <groupId>org.deeplearning4j</groupId>
-            <artifactId>deeplearning4j-core</artifactId>
-            <version>1.0.0-M2.1</version>
-        </dependency>
+<!--        <dependency>-->
+<!--            <groupId>org.tensorflow</groupId>-->
+<!--            <artifactId>tensorflow-core-platform</artifactId>-->
+<!--            <version>0.5.0</version>-->
+<!--        </dependency>-->
+<!--        <dependency>-->
+<!--            <groupId>org.deeplearning4j</groupId>-->
+<!--            <artifactId>deeplearning4j-core</artifactId>-->
+<!--            <version>1.0.0-M2.1</version>-->
+<!--        </dependency>-->
 
-        <dependency>
-            <groupId>ai.djl</groupId>
-            <artifactId>api</artifactId>
-            <version>0.28.0</version>
-        </dependency>
+<!--        <dependency>-->
+<!--            <groupId>ai.djl</groupId>-->
+<!--            <artifactId>api</artifactId>-->
+<!--            <version>0.28.0</version>-->
+<!--        </dependency>-->
         <dependency>
             <groupId>ai.djl</groupId>
             <artifactId>model-zoo</artifactId>
@@ -294,16 +294,16 @@
 
 
 
-        <dependency>
-            <groupId>org.apache.poi</groupId>
-            <artifactId>poi-ooxml</artifactId>
-            <version>5.2.3</version>
-        </dependency>
-        <dependency>
-            <groupId>commons-io</groupId>
-            <artifactId>commons-io</artifactId>
-            <version>2.13.0</version>
-        </dependency>
+<!--        <dependency>-->
+<!--            <groupId>org.apache.poi</groupId>-->
+<!--            <artifactId>poi-ooxml</artifactId>-->
+<!--            <version>5.2.3</version>-->
+<!--        </dependency>-->
+<!--        <dependency>-->
+<!--            <groupId>commons-io</groupId>-->
+<!--            <artifactId>commons-io</artifactId>-->
+<!--            <version>2.13.0</version>-->
+<!--        </dependency>-->
 
         <dependency>
             <groupId>org.anyline</groupId>
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/asr/service/AliAsrServiceImpl.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/asr/service/AliAsrServiceImpl.java
index 57d28790..d59220b6 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/asr/service/AliAsrServiceImpl.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/asr/service/AliAsrServiceImpl.java
@@ -90,21 +90,27 @@ public class AliAsrServiceImpl implements AliAsrService {
     public String recognizeSpeechByUrl(String audioUrl) {
         try {
             // 构建识别参数
-            if(StringUtils.isEmpty(apiKey) || StringUtils.isEmpty(modelName)){
+            if (StringUtils.isEmpty(apiKey) || StringUtils.isEmpty(modelName)) {
                 throw new RuntimeException("请配置apiKey和modelName");
             }
 
             TranscriptionParam param = TranscriptionParam.builder()
                 .apiKey(EncryptUtils.decryptByBase64(apiKey))
                 .model(modelName)
+//                .model("paraformer-v2")
                 .fileUrls(Arrays.asList(audioUrl))
                 .parameter("language_hints", LANGUAGE_HINTS)
                 .build();
 
             Transcription transcription = new Transcription();
+            // 提交转写请求
+            TranscriptionResult result = transcription.asyncCall(param);
+            System.out.println("RequestId: " + result.getRequestId());
+            // 阻塞等待任务完成并获取结果
+            result = transcription.wait(
+                TranscriptionQueryParam.FromTranscriptionParam(param, result.getTaskId()));
 
             // 提交语音识别任务
-            TranscriptionResult result = transcription.asyncCall(param);
             String taskId = result.getTaskId();
             logger.info("语音识别任务提交成功，TaskId: {}", taskId);
 
@@ -118,24 +124,24 @@ public class AliAsrServiceImpl implements AliAsrService {
             aiAsrRecord.setCreateDept(LoginHelper.getDeptId());
             aiAsrRecord.setCreateTime(new Date());
 
-            while (true) {
-                result = transcription.fetch(TranscriptionQueryParam.FromTranscriptionParam(param, taskId));
-
-                if (result.getTaskStatus() == TaskStatus.SUCCEEDED) {
-                    logger.info("语音识别任务完成，TaskId: {}", taskId);
-                    break;
-                } else if (result.getTaskStatus() == TaskStatus.FAILED) {
-                    aiAsrRecord.setAsrFailedReason(result.getResults().toString());
-                    aiAsrRecord.setTaskId(taskId);
-                    aiAsrRecord.setAsrResult(HwMomAiConstants.AI_ASR_RESULT_FAILED);
-                    aiAsrRecordMapper.insert(aiAsrRecord);
-                    logger.error("语音识别任务失败，TaskId: {}, 错误信息: {}", taskId, result.getResults().toString());
-                    throw new RuntimeException("语音识别任务失败: " + result.getResults().toString());
-                }
-
-                // 等待1秒后再次查询
-                Thread.sleep(1000);
-            }
+//            while (true) {
+//                result = transcription.fetch(TranscriptionQueryParam.FromTranscriptionParam(param, taskId));
+//
+//                if (result.getTaskStatus() == TaskStatus.SUCCEEDED) {
+//                    logger.info("语音识别任务完成，TaskId: {}", taskId);
+//                    break;
+//                } else if (result.getTaskStatus() == TaskStatus.FAILED) {
+//                    aiAsrRecord.setAsrFailedReason(result.getResults().toString());
+//                    aiAsrRecord.setTaskId(taskId);
+//                    aiAsrRecord.setAsrResult(HwMomAiConstants.AI_ASR_RESULT_FAILED);
+//                    aiAsrRecordMapper.insert(aiAsrRecord);
+//                    logger.error("语音识别任务失败，TaskId: {}, 错误信息: {}", taskId, result.getResults().toString());
+//                    throw new RuntimeException("语音识别任务失败: " + result.getResults().toString());
+//                }
+//
+//                // 等待1秒后再次查询
+//                Thread.sleep(1000);
+//            }
 
             // 解析识别结果
             String recognitionResult = parseRecognitionResult(result);
@@ -161,20 +167,23 @@ public class AliAsrServiceImpl implements AliAsrService {
             throw new RuntimeException("未获取到识别结果");
         }
 
-        TranscriptionTaskResult taskResult = taskResultList.get(0);
-        String transcriptionUrl = taskResult.getTranscriptionUrl();
 
-        // 获取识别结果详情
-        HttpURLConnection connection = (HttpURLConnection) new URL(transcriptionUrl).openConnection();
-        connection.setRequestMethod("GET");
-        connection.connect();
-
-        try (BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
-            Gson gson = new GsonBuilder().setPrettyPrinting().create();
-            JsonElement jsonElement = gson.fromJson(reader, JsonElement.class);
-
-            if (jsonElement.isJsonObject()) {
-                JsonObject jsonObject = jsonElement.getAsJsonObject();
+        if (taskResultList != null && taskResultList.size() > 0) {
+            HttpURLConnection connection = null;
+            try {
+                TranscriptionTaskResult taskResult = taskResultList.get(0);
+                String transcriptionUrl = taskResult.getTranscriptionUrl();
+                connection =
+                    (HttpURLConnection) new URL(transcriptionUrl).openConnection();
+                connection.setRequestMethod("GET");
+                connection.connect();
+                BufferedReader reader =
+                    new BufferedReader(new InputStreamReader(connection.getInputStream()));
+                Gson gson = new GsonBuilder().setPrettyPrinting().create();
+                JsonElement jsonResult = gson.fromJson(reader, JsonObject.class);
+                System.out.println(gson.toJson(jsonResult));
+                if (jsonResult.isJsonObject()) {
+                JsonObject jsonObject = jsonResult.getAsJsonObject();
                 JsonArray transcriptsArr = jsonObject.getAsJsonArray("transcripts");
 
                 if (transcriptsArr != null && !transcriptsArr.isEmpty()) {
@@ -183,11 +192,44 @@ public class AliAsrServiceImpl implements AliAsrService {
                     return extractTextFromTags(text);
                 }
             }
-
-            throw new RuntimeException("解析识别结果失败");
-        } finally {
-            connection.disconnect();
+            } catch (Exception e) {
+                throw new RuntimeException("语音识别失败：" + e.getMessage());
+            } finally {
+                if (connection != null) {
+                    connection.disconnect();
+                }
+            }
         }
+
+
+//        TranscriptionTaskResult taskResult = taskResultList.get(0);
+//        String transcriptionUrl = taskResult.getTranscriptionUrl();
+//
+//        // 获取识别结果详情
+//        HttpURLConnection connection = (HttpURLConnection) new URL(transcriptionUrl).openConnection();
+//        connection.setRequestMethod("GET");
+//        connection.connect();
+//
+//        try (BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
+//            Gson gson = new GsonBuilder().setPrettyPrinting().create();
+//            JsonElement jsonElement = gson.fromJson(reader, JsonElement.class);
+//
+//            if (jsonElement.isJsonObject()) {
+//                JsonObject jsonObject = jsonElement.getAsJsonObject();
+//                JsonArray transcriptsArr = jsonObject.getAsJsonArray("transcripts");
+//
+//                if (transcriptsArr != null && !transcriptsArr.isEmpty()) {
+//                    JsonObject jsonObject1 = transcriptsArr.get(0).getAsJsonObject();
+//                    String text = jsonObject1.get("text").getAsString();
+//                    return extractTextFromTags(text);
+//                }
+//            }
+//
+//            throw new RuntimeException("解析识别结果失败");
+//        } finally {
+//            connection.disconnect();
+//        }
+        return null;
     }
 
     /**
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiAssistantController.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiAssistantController.java
index 313dc926..e77b9f5d 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiAssistantController.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiAssistantController.java
@@ -25,6 +25,7 @@ import org.dromara.ai.process.provider.processor.AIProviderProcessorFactory;
 import org.dromara.ai.process.provider.processor.IUnifiedAIProviderProcessor;
 import org.dromara.ai.service.*;
 import org.dromara.ai.vectordb.service.IVectorDBService;
+import org.dromara.common.constant.HwMomAiConstants;
 import org.dromara.common.core.domain.R;
 import org.dromara.common.core.validate.EditGroup;
 import org.dromara.common.idempotent.annotation.RepeatSubmit;
@@ -68,11 +69,11 @@ public class AiAssistantController extends BaseController {
     }
 
     /**
-     * 下拉框查询AI模型列表
+     * 查询AI模型列表(AI问答左侧列表)
      */
     @GetMapping("/getAiChatMessageList")
     public R<List<AiChatMessageVo>> getAiChatMessageList(AiChatMessageBo bo) {
-        List<AiChatMessageVo> list = aiChatMessageService.queryList(bo);
+        List<AiChatMessageVo> list = aiChatMessageService.queryQaList(bo);
         return R.ok(list);
     }
 
@@ -125,6 +126,7 @@ public class AiAssistantController extends BaseController {
      * 非流式聊天接口
      */
     @PostMapping("/chat")
+    @SaCheckPermission("ai:aiChatMessage:list")
     public Mono<AIResponse> chat(
         @RequestParam("provider") String provider, @RequestBody AIRequest request) {
 
@@ -139,8 +141,10 @@ public class AiAssistantController extends BaseController {
      * @param request
      * @return
      */
+    @SaCheckPermission("ai:aiAssistant:generateSql")
     @PostMapping(value = "/generateSql")
     public String generateSql(AIRequest request) {
+        request.setMessageDetailType(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_SQL);
         return aiAssistantService.generateSQL(request);
     }
 
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiReportController.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiReportController.java
new file mode 100644
index 00000000..4ca03985
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/controller/AiReportController.java
@@ -0,0 +1,160 @@
+package org.dromara.ai.controller;
+
+
+import cn.dev33.satoken.annotation.SaCheckPermission;
+import com.alibaba.fastjson.JSONObject;
+import jakarta.servlet.http.HttpServletResponse;
+import lombok.RequiredArgsConstructor;
+import org.dromara.ai.domain.AiChatMessage;
+import org.dromara.ai.domain.bo.AiAsrRecordBo;
+import org.dromara.ai.domain.bo.AiChatMessageDetailBo;
+import org.dromara.ai.domain.bo.AiTokenUsageBo;
+import org.dromara.ai.domain.dto.AIReportRequest;
+import org.dromara.ai.domain.dto.AIReportResponse;
+import org.dromara.ai.domain.vo.AiAsrRecordVo;
+import org.dromara.ai.domain.vo.AiChatMessageDetailVo;
+import org.dromara.ai.domain.vo.AiChatMessageVo;
+import org.dromara.ai.domain.vo.AiTokenUsageVo;
+import org.dromara.ai.process.dto.AIRequest;
+import org.dromara.ai.service.IAIAssistantService;
+import org.dromara.ai.service.IAIReportService;
+import org.dromara.common.constant.HwMomAiConstants;
+import org.dromara.common.core.domain.R;
+import org.dromara.common.excel.utils.ExcelUtil;
+import org.dromara.common.log.annotation.Log;
+import org.dromara.common.log.enums.BusinessType;
+import org.dromara.common.mybatis.core.page.TableDataInfo;
+import org.dromara.common.web.core.BaseController;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.*;
+import reactor.core.publisher.Flux;
+import reactor.core.publisher.Mono;
+
+import java.util.List;
+
+/**
+ * AI模型
+ * 前端访问路由地址为:/ai/aiReport
+ *
+ * @author xins
+ * @date 2025-08-07
+ */
+@Validated
+@RequiredArgsConstructor
+@RestController
+@RequestMapping("/aiReport")
+public class AiReportController extends BaseController {
+    private final Logger logger = LoggerFactory.getLogger(AiReportController.class);
+
+    private final IAIReportService aiReportService;
+
+    private final IAIAssistantService aiAssistantService;
+
+    /**
+     * 根据生成报表页面用户输入生成sql，传入参数包括用户输入、AIModelID, AIPLATFORMID
+     *
+     * @param request
+     * @return
+     */
+    @PostMapping(value = "/generateReportSql")
+    @SaCheckPermission("ai:aiReport:generate")
+    public R<String> generateReportSql(AIRequest request) {
+        request.setMessageDetailType(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT_SQL);
+        return R.ok(aiAssistantService.generateSQL(request));
+    }
+
+
+    @PostMapping("/generateReport")
+    @SaCheckPermission("ai:aiReport:generate")
+    @ResponseBody
+    public R<AIReportResponse> generateReport(@RequestBody AIRequest request) {
+        String provider = "deepseek"; // 或从请求中获取
+        request.setMessageDetailType(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT);
+        Mono<AIReportResponse> aiReportResponseMono = aiReportService.generateReport(provider, request);
+//            System.out.println(aiReportResponseMono.block().getChartHtml());
+        return R.ok(aiReportResponseMono.block());
+
+    }
+
+
+
+    /**
+     * 获取最新AI生成报表信息
+     */
+    @GetMapping("/getRecentReports")
+    @SaCheckPermission("ai:aiReport:generate")
+    @ResponseBody
+    public TableDataInfo<AiChatMessage> getRecentReports() {
+        return aiReportService.getRecentReports();
+    }
+
+
+    /**
+     * 获取最新一条AI生成报表信息
+     */
+    @GetMapping("/getRecentReportInfo")
+    @SaCheckPermission("ai:aiReport:generate")
+    public R<AiChatMessageDetailVo> getRecentReportInfo(AiChatMessageDetailBo bo) {
+        AiChatMessageDetailVo aiChatMessageDetailVo = aiReportService.getRecentReportInfo(bo);
+        return R.ok(aiChatMessageDetailVo);
+    }
+
+
+    /**
+     * 导出用户token使用详情列表
+     */
+//    @SaCheckPermission("ai:tokenUsage:export")
+    @Log(title = "AI生成报表", businessType = BusinessType.EXPORT)
+    @PostMapping("/exportReportData")
+    @SaCheckPermission("ai:aiReport:export")
+    public void exportReportData(AIRequest aiRequest, HttpServletResponse response) {
+        aiReportService.exportReportData(aiRequest,response);
+    }
+
+
+
+
+
+    @PostMapping(value = "/streamGenerate", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
+    @SaCheckPermission("ai:aiReport:generate")
+    public Flux<String> streamGenerateReport(
+        @RequestParam("provider") String provider, @RequestBody AIRequest request) {
+//        LoginUser loginUser = LoginHelper.getLoginUser();
+//        IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory.getProcessor(provider);
+        return aiReportService.streamGenerateReport(provider, request);
+    }
+
+
+    /**
+     * 生成AI报表分析
+     */
+    @PostMapping("/generateTestReport")
+    @SaCheckPermission("ai:aiReport:generate")
+    @ResponseBody
+    public R<AIReportResponse> generateTestReport(@RequestBody AIReportRequest request) {
+        try {
+            logger.info("收到AI报表生成请求: {}", request.getPrompt());
+
+            // 参数验证
+            if (request.getPrompt() == null || request.getPrompt().trim().isEmpty()) {
+                return R.fail("请输入分析需求描述");
+            }
+
+            // 生成报表
+            AIReportResponse response = aiReportService.generateTestReport(request);
+
+            logger.info("AI报表生成成功，SQL: {}", response.getSql());
+            return R.ok(response);
+
+        } catch (Exception e) {
+            logger.error("AI报表生成失败", e);
+            return R.fail("报表生成失败: " + e.getMessage());
+        }
+    }
+
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportRequest.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportRequest.java
new file mode 100644
index 00000000..9fc18c96
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportRequest.java
@@ -0,0 +1,34 @@
+package org.dromara.ai.domain.dto;
+
+/**
+ * @Author xins
+ * @Date 2026/1/5 14:38
+ * @Description:AI报表分析请求参数
+ */
+
+import lombok.Data;
+import java.util.Map;
+
+@Data
+public class AIReportRequest {
+
+    /**
+     * 用户提问内容
+     */
+    private String prompt;
+
+    /**
+     * 数据源ID
+     */
+    private String dataSourceId;
+
+    /**
+     * 图表类型偏好（可选）
+     */
+    private String chartType;
+
+    /**
+     * 其他参数
+     */
+    private Map<String, Object> parameters;
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResponse.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResponse.java
new file mode 100644
index 00000000..0cc8ed28
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResponse.java
@@ -0,0 +1,63 @@
+package org.dromara.ai.domain.dto;
+
+/**
+ * @Author xins
+ * @Date 2026/1/5 14:39
+ * @Description:AI报表分析响应结果
+ */
+
+import lombok.Data;
+
+import java.util.List;
+import java.util.Map;
+
+@Data
+public class AIReportResponse {
+
+    /**
+     * 生成的SQL语句
+     */
+    private String sql;
+
+    /**
+     * 查询结果数据
+     */
+    private List<Map<String, Object>> data;
+
+    /**
+     * 数据字段信息
+     */
+    private List<FieldInfo> fields;
+
+    /**
+     * 图表HTML字符串
+     */
+    private String chartHtml;
+
+    /**
+     * 列表HTML字符串（支持复合表头）
+     */
+    private String tableHtml;
+
+    /**
+     * 分析建议
+     */
+    private String analysis;
+
+    /**
+     * 执行时间（毫秒）
+     */
+    private Long executionTime;
+
+    /**
+     * 数据字段信息
+     */
+    @Data
+    public static class FieldInfo {
+        private String name;
+        private String type;
+        private String comment;
+        private boolean isPrimary;
+        private boolean isNumeric;
+    }
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResult.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResult.java
new file mode 100644
index 00000000..2eb88948
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/AIReportResult.java
@@ -0,0 +1,21 @@
+package org.dromara.ai.domain.dto;
+
+/**
+ * @Author xins
+ * @Date 2026/1/5 14:39
+ * @Description:AI报表分析响应结果
+ */
+
+import lombok.Data;
+
+import java.util.List;
+import java.util.Map;
+
+@Data
+public class AIReportResult {
+
+    private Boolean success;
+    private String code;
+    private String message;
+    private AIReportResponse aiReportResponse;
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/StreamResult.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/StreamResult.java
new file mode 100644
index 00000000..2329fe62
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/domain/dto/StreamResult.java
@@ -0,0 +1,17 @@
+package org.dromara.ai.domain.dto;
+
+import lombok.Data;
+import org.dromara.ai.process.dto.TokenUsage;
+
+/**
+ * @Author xins
+ * @Date 2026/1/7 10:17
+ * @Description:
+ */
+@Data
+public class StreamResult {
+    private String type; // "chunk" 或 "complete"
+    private String content;
+    private TokenUsage tokenUsage;
+    private Boolean isComplete = false;
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/mapper/SQLServerDatabaseMetaMapper.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/mapper/SQLServerDatabaseMetaMapper.java
index f3c197f6..d583adec 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/mapper/SQLServerDatabaseMetaMapper.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/mapper/SQLServerDatabaseMetaMapper.java
@@ -64,4 +64,11 @@ public interface SQLServerDatabaseMetaMapper {
                                             @Param("orderBy") String orderBy,
                                             @Param("groupBy") String groupBy);
 
+
+    /**
+     * 动态SELECT查询
+     * @param sql
+     */
+    List<Map<String, Object>> dynamicSelectSql(@Param("sql") String sql);
+
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/dto/AIRequest.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/dto/AIRequest.java
index 456c6918..b5c7131d 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/dto/AIRequest.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/dto/AIRequest.java
@@ -125,4 +125,10 @@ public class AIRequest {
      * 其他自定义参数
      */
     private Object customParams;
+
+    private String messageDetailType;
+
+    private String sql;
+
+    private Long chatMessageId;
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/IUnifiedAIProviderProcessor.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/IUnifiedAIProviderProcessor.java
index 17f9a461..abd640d6 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/IUnifiedAIProviderProcessor.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/IUnifiedAIProviderProcessor.java
@@ -2,6 +2,7 @@ package org.dromara.ai.process.provider.processor;
 
 
 import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingResponse;
+import org.dromara.ai.domain.dto.StreamResult;
 import org.dromara.ai.process.dto.AIRequest;
 import org.dromara.ai.process.dto.AIResponse;
 import org.dromara.ai.process.dto.TokenUsage;
@@ -103,4 +104,7 @@ public interface IUnifiedAIProviderProcessor {
                                Long modelId, Long knowledgeBaseId, Long knowledgeContentId,
                                Long chatMessageId,String sessionId,String takeFlag,String completeFlag,
                                Long userId,String tenantId,Long deptId);
+
+
+    public Flux<StreamResult> chatStreamComplete(AIRequest request, LoginUser loginUser);
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/BaseAIProviderProcessor.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/BaseAIProviderProcessor.java
index e5951db9..cd348f8d 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/BaseAIProviderProcessor.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/BaseAIProviderProcessor.java
@@ -6,6 +6,7 @@ import com.fasterxml.jackson.databind.JsonNode;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.github.yulichang.toolkit.JoinWrappers;
 import com.github.yulichang.wrapper.MPJLambdaWrapper;
+import io.seata.common.util.StringUtils;
 import org.dromara.ai.domain.AiChatMessage;
 import org.dromara.ai.domain.AiChatMessageDetail;
 import org.dromara.ai.domain.AiTokenUsage;
@@ -88,7 +89,7 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
     }
 
     protected void configureApiKey(AIRequest request) {
-        if(request.getModelId()!=null){
+        if (request.getModelId() != null) {
             AiModelVo aiModelVo = aiModelMapper.selectVoById(request.getModelId());
             if (aiModelVo != null) {
                 if (aiModelVo.getApiKey() == null) {
@@ -101,12 +102,13 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
 
     /**
      * 普通http请求(非流式请求)，直接返回完整回复
+     *
      * @param url
      * @param requestBody
      * @param apiKey
      * @return AIResponse
      */
-    public abstract Mono<AIResponse> standardRequest(String url,String requestBody, String apiKey);
+    public abstract Mono<AIResponse> standardRequest(String url, String requestBody, String apiKey);
 
 
     /**
@@ -165,14 +167,6 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
     }
 
 
-
-
-
-
-
-
-
-
     /**
      * 处理流式响应的JSON块，返回包含内容和token信息的对象
      */
@@ -216,6 +210,7 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
 
     protected void saveChatMessage(AIRequest request, String fullResponse, TokenUsage tokenUsage, LoginUser loginUser) {
         try {
+            String messageType = StringUtils.isNotBlank(request.getMessageDetailType()) ? request.getMessageDetailType() : HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION;
             String sessionId = request.getSessionId();
             AiChatMessage aiChatMessage = aiChatMessageMapper
                 .selectOne(new LambdaQueryWrapper<AiChatMessage>()
@@ -225,7 +220,7 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
                 aiChatMessage = new AiChatMessage();
                 aiChatMessage.setSessionId(request.getSessionId());
                 aiChatMessage.setMessageTopic(objectMapper.writeValueAsString(request.getMessageTopic()));
-                aiChatMessage.setMessageType(AIChatMessageTypeEnum.AI_CHAT.getCode());
+                aiChatMessage.setMessageType(messageType);
                 aiChatMessage.setModelId(request.getModelId());
                 aiChatMessage.setKnowledgeBaseId(request.getKnowledgeBaseId());
 //            aiChatMessage.setTotalToken();
@@ -239,10 +234,10 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
             }
 
 
-            saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION, objectMapper.writeValueAsString(request.getQuestionContent()),
+            saveTokenUsage(messageType, objectMapper.writeValueAsString(request.getQuestionContent()),
                 objectMapper.writeValueAsString(fullResponse), tokenUsage, request.getModelId(), request.getKnowledgeBaseId(), null,
-                aiChatMessage.getChatMessageId(),request.getSessionId(),request.getCarryHistoryFlag(),"1",
-                loginUser.getUserId(),loginUser.getTenantId(), loginUser.getDeptId());
+                aiChatMessage.getChatMessageId(), request.getSessionId(), request.getCarryHistoryFlag(), "1",
+                loginUser.getUserId(), loginUser.getTenantId(), loginUser.getDeptId());
 
 
 //            AiChatMessageDetail aiChatMessageDetail = new AiChatMessageDetail();
@@ -275,6 +270,7 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
 
     /**
      * 保存token使用情况
+     *
      * @param messageDetailType
      * @param questionContent
      * @param answerContent
@@ -292,12 +288,12 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
      */
     @Override
     public void saveTokenUsage(String messageDetailType, String questionContent, String answerContent, TokenUsage tokenUsage,
-                                  Long modelId, Long knowledgeBaseId, Long knowledgeContentId,
-                               Long chatMessageId,String sessionId,String takeFlag,String completeFlag,
-                               Long userId,String tenantId,Long deptId) {
-        Long promptToken = tokenUsage!=null ? tokenUsage.getPromptToken():null;
-        Long completionToken = tokenUsage!=null ? tokenUsage.getCompletionToken():null;
-        Long totalToken = tokenUsage!=null ? tokenUsage.getTotalToken():null;
+                               Long modelId, Long knowledgeBaseId, Long knowledgeContentId,
+                               Long chatMessageId, String sessionId, String takeFlag, String completeFlag,
+                               Long userId, String tenantId, Long deptId) {
+        Long promptToken = tokenUsage != null ? tokenUsage.getPromptToken() : null;
+        Long completionToken = tokenUsage != null ? tokenUsage.getCompletionToken() : null;
+        Long totalToken = tokenUsage != null ? tokenUsage.getTotalToken() : null;
 
         AiChatMessageDetail aiChatMessageDetail = new AiChatMessageDetail();
         aiChatMessageDetail.setMessageDetailType(messageDetailType);
@@ -350,7 +346,6 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
     }
 
 
-
     /**
      * 流式chunk结果类
      */
@@ -364,8 +359,13 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
         }
 
         // getters
-        public String getContent() { return content; }
-        public TokenUsage getTokenUsage() { return tokenUsage; }
+        public String getContent() {
+            return content;
+        }
+
+        public TokenUsage getTokenUsage() {
+            return tokenUsage;
+        }
 
         public boolean hasContent() {
             return content != null && !content.isEmpty();
@@ -377,8 +377,6 @@ public abstract class BaseAIProviderProcessor implements IUnifiedAIProviderProce
     }
 
 
-
-
 //    /**
 //     * 流式回复
 //     * @param request
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/DeepSeekProcessor.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/DeepSeekProcessor.java
index 40886afd..9a6a1e46 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/DeepSeekProcessor.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/DeepSeekProcessor.java
@@ -11,6 +11,7 @@ import com.fasterxml.jackson.databind.node.ObjectNode;
 import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingResponse;
 import org.dromara.ai.domain.AiChatMessage;
 import org.dromara.ai.domain.AiChatMessageDetail;
+import org.dromara.ai.domain.dto.StreamResult;
 import org.dromara.ai.domain.vo.AiModelVo;
 import org.dromara.ai.mapper.AiChatMessageDetailMapper;
 import org.dromara.ai.mapper.AiChatMessageMapper;
@@ -53,16 +54,16 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
     private final String deepSeekChatModel = "deepseek-chat";
 
 
-
     /**
      * 普通http请求(非流式请求)，直接返回完整回复
+     *
      * @param url
      * @param requestBody
      * @param apiKey
      * @return AIResponse
      */
     @Override
-    public Mono<AIResponse> standardRequest(String url,String requestBody, String apiKey) {
+    public Mono<AIResponse> standardRequest(String url, String requestBody, String apiKey) {
         return webClient.post()
             .uri(url)
             .header(HttpHeaders.AUTHORIZATION, "Bearer " + apiKey)
@@ -146,7 +147,7 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
                 })
                 .doOnComplete(() -> {
                     // 流完成后保存到数据库
-                    saveChatMessage(request, fullResponseBuilder.toString(), null,loginUser);
+                    saveChatMessage(request, fullResponseBuilder.toString(), null, loginUser);
                 })
                 .doOnError(error -> {
                     // 错误处理
@@ -308,7 +309,7 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
 //            usageNode.path("total_tokens").asInt()
 //        );
 
-        TokenUsage tokenUsage = new TokenUsage( usageNode.path("prompt_tokens").asLong(),
+        TokenUsage tokenUsage = new TokenUsage(usageNode.path("prompt_tokens").asLong(),
             usageNode.path("completion_tokens").asLong(),
             usageNode.path("total_tokens").asLong());
 
@@ -331,7 +332,7 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
     }
 
     @Override
-    public List<Double> getEmbedding(GetEmbeddingResponse embeddingResponse){
+    public List<Double> getEmbedding(GetEmbeddingResponse embeddingResponse) {
         return List.of();
     }
 
@@ -346,6 +347,63 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
     }
 
 
+    @Override
+    public Flux<StreamResult> chatStreamComplete(AIRequest request, LoginUser loginUser) {
+        try {
+            ObjectNode rootNode = objectMapper.createObjectNode();
+            rootNode.put("model", deepSeekChatModel);
+            rootNode.set("messages", objectMapper.valueToTree(request.getMessages()));
+            rootNode.put("stream", true);
+
+            if (request.getTemperature() != null) {
+                rootNode.put("temperature", request.getTemperature());
+            }
+
+            String requestBody = objectMapper.writeValueAsString(rootNode);
+            configureApiKey(request);
+
+            // 用于收集完整响应和token信息
+            StringBuilder fullResponseBuilder = new StringBuilder();
+            TokenUsage finalTokenUsage = new TokenUsage(0L, 0L, 0L);
+
+            // 返回包装后的结果流
+            return executeStreamRequest(API_URL, requestBody, request.getApiKey())
+                .map(chunkResult -> {
+                    // 收集内容
+                    if (chunkResult.hasContent()) {
+                        fullResponseBuilder.append(chunkResult.getContent());
+                    }
+
+                    // 更新token使用信息
+                    if (chunkResult.hasTokenUsage()) {
+                        TokenUsage usage = chunkResult.getTokenUsage();
+                        finalTokenUsage.setPromptToken(usage.getPromptToken());
+                        finalTokenUsage.setCompletionToken(usage.getCompletionToken());
+                        finalTokenUsage.setTotalToken(usage.getTotalToken());
+                    }
+
+                    // 创建流式结果
+                    StreamResult result = new StreamResult();
+                    result.setType("chunk");
+                    result.setContent(chunkResult.hasContent() ? chunkResult.getContent() : "");
+                    return result;
+                })
+                .doOnComplete(() -> {
+                    // 流完成后保存到数据库，但不发送额外内容
+                    System.out.println(fullResponseBuilder.toString());
+                    saveChatMessage(request, fullResponseBuilder.toString(), finalTokenUsage, loginUser);
+                })
+                .doOnError(error -> {
+                    // 即使出错也尝试保存已收集的内容
+                    saveChatMessage(request, fullResponseBuilder.toString(), finalTokenUsage, loginUser);
+                });
+        } catch (IOException e) {
+            return Flux.error(new RuntimeException("构建请求失败: " + e.getMessage()));
+        }
+    }
+
+
+
     private String extractContentRaw(String jsonStr) {
         // 简单的正则提取，作为最后手段
         Pattern pattern = Pattern.compile("\"content\":\"(.*?)(?<!\\\\)\"");
@@ -359,9 +417,4 @@ public class DeepSeekProcessor extends BaseAIProviderProcessor {
     }
 
 
-
-
-
-
-
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TencentLkeProcessor.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TencentLkeProcessor.java
index 88d8c86f..31657acc 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TencentLkeProcessor.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TencentLkeProcessor.java
@@ -10,6 +10,7 @@ import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingRequest;
 import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingResponse;
 import com.tencentcloudapi.lkeap.v20240522.models.Usage;
 import lombok.extern.slf4j.Slf4j;
+import org.dromara.ai.domain.dto.StreamResult;
 import org.dromara.ai.process.provider.processor.utils.ProcessorUtils;
 import org.dromara.ai.test.vectorization.config.EmbeddingConfig;
 import org.dromara.ai.process.dto.AIRequest;
@@ -226,4 +227,9 @@ public class TencentLkeProcessor extends BaseAIProviderProcessor {
     protected StreamChunkResult extractContentAndTokensFromStreamJson(String jsonChunk) throws Exception {
         return null;
     }
+
+    @Override
+    public Flux<StreamResult> chatStreamComplete(AIRequest request, LoginUser loginUser) {
+        return null;
+    }
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TongYiQianWenProcessor.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TongYiQianWenProcessor.java
index 72915803..cb190d9c 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TongYiQianWenProcessor.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/process/provider/processor/impl/TongYiQianWenProcessor.java
@@ -12,6 +12,7 @@ import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingResponse;
 import org.checkerframework.checker.units.qual.A;
 import org.dromara.ai.domain.AiChatMessage;
 import org.dromara.ai.domain.AiChatMessageDetail;
+import org.dromara.ai.domain.dto.StreamResult;
 import org.dromara.ai.mapper.AiChatMessageDetailMapper;
 import org.dromara.ai.mapper.AiChatMessageMapper;
 import org.dromara.ai.process.dto.AIMessage;
@@ -431,4 +432,9 @@ public class TongYiQianWenProcessor extends BaseAIProviderProcessor {
     protected StreamChunkResult extractContentAndTokensFromStreamJson(String jsonChunk) throws Exception {
         return null;
     }
+
+    @Override
+    public Flux<StreamResult> chatStreamComplete(AIRequest request, LoginUser loginUser) {
+        return null;
+    }
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIAssistantService.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIAssistantService.java
index 3b30c856..e171e0af 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIAssistantService.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIAssistantService.java
@@ -1,6 +1,7 @@
 package org.dromara.ai.service;
 
 import com.alibaba.fastjson.JSONObject;
+import org.dromara.ai.domain.dto.AIReportResponse;
 import org.dromara.ai.process.dto.AIFillFormRequest;
 import org.dromara.ai.process.dto.AIRequest;
 import org.dromara.ai.process.dto.AIResponse;
@@ -33,4 +34,5 @@ public interface IAIAssistantService {
      */
     public JSONObject aiFillForm(AIFillFormRequest aiFillFormRequest);
 //    public boolean testAIModel(String provider, AIRequest aiRequest);
+
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIReportService.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIReportService.java
new file mode 100644
index 00000000..ff26dbe6
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAIReportService.java
@@ -0,0 +1,74 @@
+package org.dromara.ai.service;
+
+
+import jakarta.servlet.http.HttpServletResponse;
+import org.dromara.ai.domain.AiChatMessage;
+import org.dromara.ai.domain.bo.AiChatMessageDetailBo;
+import org.dromara.ai.domain.dto.AIReportRequest;
+import org.dromara.ai.domain.dto.AIReportResponse;
+import org.dromara.ai.domain.vo.AiChatMessageDetailVo;
+import org.dromara.ai.domain.vo.AiChatMessageVo;
+import org.dromara.ai.process.dto.AIRequest;
+import org.dromara.common.mybatis.core.page.TableDataInfo;
+import reactor.core.publisher.Flux;
+import reactor.core.publisher.Mono;
+
+import java.util.List;
+
+/**
+ * AI报表分析服务接口
+ */
+public interface IAIReportService {
+
+    /**
+     * 流式聊天接口,待AI全部回复完再传给前端
+     *
+     * @param provider
+     * @param aiRequest
+     * @return Flux<String>
+     */
+    public Mono<AIReportResponse> generateReport(String provider, AIRequest aiRequest);
+
+    /**
+     * 获取最近5条AI生成报表的信息
+     * @return List<AiChatMessageVo>
+     */
+    public TableDataInfo<AiChatMessage> getRecentReports();
+
+
+    /**
+     * 根据sessionid和messagedetailtype获取一条最新的AI生成报表详细信息
+     * @param aiChatMessageDetailBo
+     * @return AiChatMessageDetailVo
+     */
+    public AiChatMessageDetailVo getRecentReportInfo(AiChatMessageDetailBo aiChatMessageDetailBo);
+
+
+    /**
+     * 导出AI生成报表的数据（excel格式）
+     * @param aiRequest
+     * @param response
+     */
+    public void exportReportData(AIRequest aiRequest, HttpServletResponse response);
+
+
+
+
+    public Flux<String> streamGenerateReport(String provider, AIRequest aiRequest);
+
+    /**
+     * 分析并生成报表
+     * @param request 分析请求
+     * @return 报表响应结果
+     */
+    AIReportResponse generateTestReport(AIReportRequest request);
+
+    /**
+     * 模拟AI生成SQL
+     * @param prompt 用户提问
+     * @return 生成的SQL语句
+     */
+    String generateSQL(String prompt);
+
+
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAiChatMessageService.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAiChatMessageService.java
index 8d5f1bec..1959f140 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAiChatMessageService.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/IAiChatMessageService.java
@@ -88,4 +88,12 @@ public interface IAiChatMessageService {
      */
     @Transactional(rollbackFor = Exception.class)
     public Boolean deleteWithValidBySessionId(String sessionId, Boolean isValid);
+
+    /**
+     * 查询符合条件的聊天消息列表(不查询生成报表的数据)
+     *
+     * @param bo 查询条件
+     * @return 聊天消息列表
+     */
+    public List<AiChatMessageVo> queryQaList(AiChatMessageBo bo);
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIAssistantServiceImpl.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIAssistantServiceImpl.java
index 9c7eec35..76fe091e 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIAssistantServiceImpl.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIAssistantServiceImpl.java
@@ -9,6 +9,7 @@ import com.tencentcloudapi.lkeap.v20240522.models.GetEmbeddingResponse;
 import com.tencentcloudapi.lkeap.v20240522.models.Usage;
 import org.dromara.ai.domain.AiFormSettingDetail;
 import org.dromara.ai.domain.AiModel;
+import org.dromara.ai.domain.dto.AIReportResponse;
 import org.dromara.ai.domain.dto.AiTableConditionWrapper;
 import org.dromara.ai.domain.dto.AiTableData;
 import org.dromara.ai.domain.dto.AiTableQueryCondition;
@@ -22,6 +23,7 @@ import org.dromara.ai.service.IAIAssistantService;
 import org.dromara.ai.vectordb.service.IVectorDBService;
 import org.dromara.common.constant.HwMomAiConstants;
 import org.dromara.common.encrypt.utils.EncryptUtils;
+import org.dromara.common.json.utils.JsonUtils;
 import org.dromara.common.satoken.utils.LoginHelper;
 import org.dromara.system.api.model.LoginUser;
 import org.springframework.beans.factory.annotation.Autowired;
@@ -31,6 +33,7 @@ import reactor.core.publisher.Flux;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import reactor.core.publisher.Mono;
 
+import java.time.Duration;
 import java.util.*;
 import java.util.stream.Collectors;
 
@@ -63,6 +66,417 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
     @Autowired
     private SQLServerDatabaseMetaMapper sQLServerDatabaseMetaMapper;
 
+    private final String material_inventory_sql = "SELECT\n" +
+        "\tTOP 1000 wi.inventory_id,\n" +
+        "\twi.tenant_id,\n" +
+        "\twi.batch_code,\n" +
+        "\twi.material_id,\n" +
+        "\twi.location_code,\n" +
+        "\twi.material_categories,\n" +
+        "\twi.inventory_qty,\n" +
+        "\twi.update_time,\n" +
+        "\twi.lock_state,\n" +
+        "\twi.inventory_status,\n" +
+        "\twi.store_id,\n" +
+        "\twi.create_by,\n" +
+        "\twi.create_time,\n" +
+        "\twi.update_by,\n" +
+        "\twi.material_code,\n" +
+        "\twi.warehouse_id,\n" +
+        "\tbmi.material_name,\n" +
+        "\tbmi.material_spec,\n" +
+        "\tbmi.material_unit,\n" +
+        "\tbmt.matrial_type_name,\n" +
+        "\twpsp.store_place_name,\n" +
+        "\twpsp.store_place_code\n" +
+        "FROM\n" +
+        "\twms_inventory wi WITH(NOLOCK)\n" +
+        "LEFT JOIN base_material_info bmi WITH(NOLOCK) ON\n" +
+        "\tbmi.material_id = wi.material_id\n" +
+        "\tAND bmi.tenant_id = wi.tenant_id\n" +
+        "\tAND bmi.del_flag = '0'\n" +
+        "LEFT JOIN base_material_type bmt WITH(NOLOCK) ON\n" +
+        "\tbmt.matrial_type_id = bmi.material_type_id\n" +
+        "\tAND bmt.tenant_id = wi.tenant_id\n" +
+        "\tAND bmt.del_flag = '0'\n" +
+        "LEFT JOIN wms_psm_store_place wpsp WITH(NOLOCK) ON\n" +
+        "\twpsp.store_place_code = wi.location_code\n" +
+        "\tAND wpsp.tenant_id = wi.tenant_id\n" +
+        "WHERE\n" +
+        "\twi.inventory_status = '1'";
+
+
+    private String reportHtml = "<html>\n" +
+        "<head>\n" +
+        "    <style>\n" +
+        "        body {\n" +
+        "            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n" +
+        "            margin: 20px;\n" +
+        "            background-color: #f5f7fa;\n" +
+        "            color: #333;\n" +
+        "        }\n" +
+        "        .container {\n" +
+        "            max-width: 1400px;\n" +
+        "            margin: 0 auto;\n" +
+        "            background-color: white;\n" +
+        "            padding: 25px;\n" +
+        "            border-radius: 12px;\n" +
+        "            box-shadow: 0 4px 20px rgba(0, 0, 0, 0.08);\n" +
+        "        }\n" +
+        "        h1 {\n" +
+        "            color: #2c3e50;\n" +
+        "            border-bottom: 3px solid #3498db;\n" +
+        "            padding-bottom: 10px;\n" +
+        "            margin-bottom: 25px;\n" +
+        "        }\n" +
+        "        h2, h3 {\n" +
+        "            color: #34495e;\n" +
+        "            margin-top: 30px;\n" +
+        "        }\n" +
+        "        .stats-container {\n" +
+        "            display: flex;\n" +
+        "            flex-wrap: wrap;\n" +
+        "            gap: 20px;\n" +
+        "            margin-bottom: 30px;\n" +
+        "        }\n" +
+        "        .stat-card {\n" +
+        "            flex: 1;\n" +
+        "            min-width: 200px;\n" +
+        "            background: linear-gradient(135deg, #f8f9fa, #e9ecef);\n" +
+        "            padding: 20px;\n" +
+        "            border-radius: 10px;\n" +
+        "            box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n" +
+        "            border-left: 5px solid #3498db;\n" +
+        "        }\n" +
+        "        .stat-card h3 {\n" +
+        "            margin-top: 0;\n" +
+        "            font-size: 1.1em;\n" +
+        "            color: #7f8c8d;\n" +
+        "        }\n" +
+        "        .stat-value {\n" +
+        "            font-size: 2.2em;\n" +
+        "            font-weight: bold;\n" +
+        "            color: #2c3e50;\n" +
+        "        }\n" +
+        "        .stat-unit {\n" +
+        "            font-size: 0.9em;\n" +
+        "            color: #95a5a6;\n" +
+        "        }\n" +
+        "        .chart-container {\n" +
+        "            height: 400px;\n" +
+        "            margin: 25px 0;\n" +
+        "            border-radius: 10px;\n" +
+        "            border: 1px solid #e1e8ed;\n" +
+        "            padding: 15px;\n" +
+        "            background-color: #fff;\n" +
+        "        }\n" +
+        "        table {\n" +
+        "            width: 100%;\n" +
+        "            border-collapse: collapse;\n" +
+        "            margin-top: 20px;\n" +
+        "            box-shadow: 0 2px 8px rgba(0,0,0,0.05);\n" +
+        "            border-radius: 8px;\n" +
+        "            overflow: hidden;\n" +
+        "        }\n" +
+        "        th {\n" +
+        "            background-color: #2c3e50;\n" +
+        "            color: white;\n" +
+        "            text-align: left;\n" +
+        "            padding: 15px;\n" +
+        "            font-weight: 600;\n" +
+        "        }\n" +
+        "        td {\n" +
+        "            padding: 12px 15px;\n" +
+        "            border-bottom: 1px solid #eee;\n" +
+        "        }\n" +
+        "        tr:nth-child(even) {\n" +
+        "            background-color: #f9f9f9;\n" +
+        "        }\n" +
+        "        tr:hover {\n" +
+        "            background-color: #f1f7fd;\n" +
+        "        }\n" +
+        "        .status-1 {\n" +
+        "            color: #27ae60;\n" +
+        "            font-weight: bold;\n" +
+        "        }\n" +
+        "        .status-0 {\n" +
+        "            color: #e74c3c;\n" +
+        "            font-weight: bold;\n" +
+        "        }\n" +
+        "        .top10-list {\n" +
+        "            background: #f8f9fa;\n" +
+        "            padding: 20px;\n" +
+        "            border-radius: 10px;\n" +
+        "            margin: 20px 0;\n" +
+        "        }\n" +
+        "        .top10-item {\n" +
+        "            display: flex;\n" +
+        "            justify-content: space-between;\n" +
+        "            padding: 10px;\n" +
+        "            border-bottom: 1px dashed #ddd;\n" +
+        "        }\n" +
+        "        .top10-item:last-child {\n" +
+        "            border-bottom: none;\n" +
+        "        }\n" +
+        "        .footer {\n" +
+        "            text-align: center;\n" +
+        "            margin-top: 40px;\n" +
+        "            color: #95a5a6;\n" +
+        "            font-size: 0.9em;\n" +
+        "        }\n" +
+        "    </style>\n" +
+        "</head>\n" +
+        "<body>\n" +
+        "    <div class=\"container\">\n" +
+        "        <h1>\uD83D\uDCCA WMS库存分析报表</h1>\n" +
+        "        \n" +
+        "        <div class=\"stats-container\">\n" +
+        "            <div class=\"stat-card\">\n" +
+        "                <h3>物料种类数</h3>\n" +
+        "                <div class=\"stat-value\" id=\"totalMaterials\">0</div>\n" +
+        "                <div class=\"stat-unit\">种</div>\n" +
+        "            </div>\n" +
+        "            <div class=\"stat-card\">\n" +
+        "                <h3>总库存量</h3>\n" +
+        "                <div class=\"stat-value\" id=\"totalQuantity\">0.00</div>\n" +
+        "                <div class=\"stat-unit\">单位</div>\n" +
+        "            </div>\n" +
+        "            <div class=\"stat-card\">\n" +
+        "                <h3>平均库存量</h3>\n" +
+        "                <div class=\"stat-value\" id=\"avgQuantity\">0.00</div>\n" +
+        "                <div class=\"stat-unit\">单位/物料</div>\n" +
+        "            </div>\n" +
+        "            <div class=\"stat-card\">\n" +
+        "                <h3>数据记录数</h3>\n" +
+        "                <div class=\"stat-value\" id=\"totalRecords\">0</div>\n" +
+        "                <div class=\"stat-unit\">条</div>\n" +
+        "            </div>\n" +
+        "        </div>\n" +
+        "\n" +
+        "        <h2>物料库存分布</h2>\n" +
+        "        <div id=\"chartDistribution\" class=\"chart-container\"></div>\n" +
+        "\n" +
+        "        <h2>库存量TOP物料</h2>\n" +
+        "        <div id=\"chartTop\" class=\"chart-container\"></div>\n" +
+        "\n" +
+        "        <h2>物料分类统计</h2>\n" +
+        "        <div id=\"chartByMaterial\" class=\"chart-container\"></div>\n" +
+        "\n" +
+        "        <h2>详细库存数据</h2>\n" +
+        "        <table id=\"detailTable\">\n" +
+        "            <thead>\n" +
+        "                <tr>\n" +
+        "                    <th>库存ID</th>\n" +
+        "                    <th>物料编码</th>\n" +
+        "                    <th>库位编码</th>\n" +
+        "                    <th>库存数量</th>\n" +
+        "                    <th>批次码</th>\n" +
+        "                    <th>库存状态</th>\n" +
+        "                    <th>锁定状态</th>\n" +
+        "                    <th>更新时间</th>\n" +
+        "                </tr>\n" +
+        "            </thead>\n" +
+        "            <tbody>\n" +
+        "                <!-- 数据将由JS填充 -->\n" +
+        "            </tbody>\n" +
+        "        </table>\n" +
+        "\n" +
+        "        <div class=\"footer\">\n" +
+        "            报表生成时间: <span id=\"reportTime\"></span> | 数据来源: WMS系统\n" +
+        "        </div>\n" +
+        "    </div>\n" +
+        "\n" +
+        "    <script>\n" +
+        "        let echarts = window.parent.echarts;\n" +
+        "        // 原始数据\n" +
+        "        const stockData = [{\"库位编码\":\"BB-1-1-1\",\"库存状态\":\"1\",\"库存ID\":2018,\"库存数量\":\"30.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250915002M10053001\",\"更新时间\":\"2025-09-19 16:00:00\"},{\"库位编码\":\"BB-1-1-3\",\"库存状态\":\"1\",\"库存ID\":2017,\"物料编码\":\"WMS-003\",\"库存数量\":\"10.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250917001WMS-003001\",\"更新时间\":\"2025-09-17 18:10:00\"},{\"库位编码\":\"BB-1-1-1\",\"库存状态\":\"1\",\"库存ID\":2016,\"物料编码\":\"WMS-002\",\"库存数量\":\"120.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250916001WMS-002001\",\"更新时间\":\"2025-09-16 18:45:00\"},{\"库位编码\":\"BB-1-1-1\",\"库存状态\":\"1\",\"库存ID\":2015,\"物料编码\":\"WMS-001\",\"库存数量\":\"15.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250915001WMS-001001\",\"更新时间\":\"2025-09-15 16:30:00\"},{\"库位编码\":\"DJ-01\",\"库存状态\":\"1\",\"库存ID\":1014,\"物料编码\":\"WMS-003\",\"库存数量\":\"7.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250903001WMS-003001\",\"更新时间\":\"2025-09-05 17:50:02\"},{\"库位编码\":\"BB-1-1-3\",\"库存状态\":\"1\",\"库存ID\":1012,\"物料编码\":\"WMS-001\",\"库存数量\":\"5.000000\",\"锁定状态\":\"0\",\"批次码\":\"test123\",\"更新时间\":\"2025-09-04 17:31:11\"},{\"库位编码\":\"BB-1-1-1\",\"库存状态\":\"1\",\"库存ID\":1013,\"物料编码\":\"WMS-002\",\"库存数量\":\"5.000000\",\"锁定状态\":\"0\",\"批次码\":\"IN20250903001WMS-002001002\",\"更新时间\":\"2025-09-04 10:11:40\"}];\n" +
+        "\n" +
+        "        // 数据处理\n" +
+        "        function processData(data) {\n" +
+        "            // 确保物料编码存在\n" +
+        "            data.forEach(item => {\n" +
+        "                if (!item.物料编码) item.物料编码 = '未知物料';\n" +
+        "                item.库存数量 = parseFloat(item.库存数量);\n" +
+        "            });\n" +
+        "\n" +
+        "            // 按物料编码分组统计\n" +
+        "            const materialMap = {};\n" +
+        "            data.forEach(item => {\n" +
+        "                const matCode = item.物料编码;\n" +
+        "                if (!materialMap[matCode]) {\n" +
+        "                    materialMap[matCode] = {\n" +
+        "                        code: matCode,\n" +
+        "                        total: 0,\n" +
+        "                        count: 0,\n" +
+        "                        locations: new Set()\n" +
+        "                    };\n" +
+        "                }\n" +
+        "                materialMap[matCode].total += item.库存数量;\n" +
+        "                materialMap[matCode].count++;\n" +
+        "                materialMap[matCode].locations.add(item.库位编码);\n" +
+        "            });\n" +
+        "\n" +
+        "            // 转换为数组并排序\n" +
+        "            const materialStats = Object.values(materialMap).map(mat => ({\n" +
+        "                ...mat,\n" +
+        "                locations: Array.from(mat.locatures),\n" +
+        "                avg: mat.total / mat.count\n" +
+        "            }));\n" +
+        "\n" +
+        "            // 按库存总量排序\n" +
+        "            materialStats.sort((a, b) => b.total - a.total);\n" +
+        "\n" +
+        "            return {\n" +
+        "                rawData: data,\n" +
+        "                materialStats: materialStats,\n" +
+        "                totalQuantity: data.reduce((sum, item) => sum + item.库存数量, 0),\n" +
+        "                totalMaterials: materialStats.length,\n" +
+        "                totalRecords: data.length,\n" +
+        "                avgQuantity: data.reduce((sum, item) => sum + item.库存数量, 0) / data.length\n" +
+        "            };\n" +
+        "        }\n" +
+        "\n" +
+        "        // 更新统计卡片\n" +
+        "        function updateStats(processed) {\n" +
+        "            document.getElementById('totalMaterials').textContent = processed.totalMaterials;\n" +
+        "            document.getElementById('totalQuantity').textContent = processed.totalQuantity.toFixed(2);\n" +
+        "            document.getElementById('avgQuantity').textContent = processed.avgQuantity.toFixed(2);\n" +
+        "            document.getElementById('totalRecords').textContent = processed.totalRecords;\n" +
+        "            document.getElementById('reportTime').textContent = new Date().toLocaleString('zh-CN');\n" +
+        "        }\n" +
+        "\n" +
+        "        // 填充详细表格\n" +
+        "        function renderDetailTable(data) {\n" +
+        "            const tbody = document.querySelector('#detailTable tbody');\n" +
+        "            tbody.innerHTML = '';\n" +
+        "            \n" +
+        "            data.forEach(item => {\n" +
+        "                const row = document.createElement('tr');\n" +
+        "                row.innerHTML = `\n" +
+        "                    <td>${item.库存ID}</td>\n" +
+        "                    <td>${item.物料编码 || '未知物料'}</td>\n" +
+        "                    <td>${item.库位编码}</td>\n" +
+        "                    <td>${item.库存数量.toFixed(2)}</td>\n" +
+        "                    <td>${item.批次码}</td>\n" +
+        "                    <td class=\"status-${item.库存状态}\">${item.库存状态 === '1' ? '正常' : '异常'}</td>\n" +
+        "                    <td class=\"status-${item.锁定状态}\">${item.锁定状态 === '0' ? '未锁定' : '已锁定'}</td>\n" +
+        "                    <td>${item.更新时间}</td>\n" +
+        "                `;\n" +
+        "                tbody.appendChild(row);\n" +
+        "            });\n" +
+        "        }\n" +
+        "\n" +
+        "        // 初始化图表\n" +
+        "        function initCharts(processed) {\n" +
+        "            const { materialStats, rawData } = processed;\n" +
+        "\n" +
+        "            // 图表1: 库存分布（按库位）\n" +
+        "            const locationMap = {};\n" +
+        "            rawData.forEach(item => {\n" +
+        "                const loc = item.库位编码;\n" +
+        "                locationMap[loc] = (locationMap[loc] || 0) + item.库存数量;\n" +
+        "            });\n" +
+        "            \n" +
+        "            const chart1 = echarts.init(document.getElementById('chartDistribution'));\n" +
+        "            chart1.setOption({\n" +
+        "                title: { text: '各库位库存量分布', left: 'center' },\n" +
+        "                tooltip: { trigger: 'item' },\n" +
+        "                legend: { orient: 'vertical', left: 'left' },\n" +
+        "                series: [{\n" +
+        "                    name: '库存量',\n" +
+        "                    type: 'pie',\n" +
+        "                    radius: '60%',\n" +
+        "                    data: Object.entries(locationMap).map(([name, value]) => ({\n" +
+        "                        name: `${name} (${value.toFixed(1)})`,\n" +
+        "                        value: value\n" +
+        "                    })),\n" +
+        "                    emphasis: { itemStyle: { shadowBlur: 10, shadowOffsetX: 0, shadowColor: 'rgba(0, 0, 0, 0.5)' } }\n" +
+        "                }]\n" +
+        "            });\n" +
+        "\n" +
+        "            // 图表2: 库存量TOP物料\n" +
+        "            const topData = materialStats.slice(0, Math.min(10, materialStats.length));\n" +
+        "            const chart2 = echarts.init(document.getElementById('chartTop'));\n" +
+        "            chart2.setOption({\n" +
+        "                title: { text: '库存量TOP物料', left: 'center' },\n" +
+        "                tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },\n" +
+        "                grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true },\n" +
+        "                xAxis: {\n" +
+        "                    type: 'category',\n" +
+        "                    data: topData.map(item => item.code),\n" +
+        "                    axisLabel: { rotate: 45 }\n" +
+        "                },\n" +
+        "                yAxis: { type: 'value', name: '库存量' },\n" +
+        "                series: [{\n" +
+        "                    name: '库存总量',\n" +
+        "                    type: 'bar',\n" +
+        "                    data: topData.map(item => item.total),\n" +
+        "                    itemStyle: { color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [\n" +
+        "                        { offset: 0, color: '#83bff6' },\n" +
+        "                        { offset: 0.5, color: '#188df0' },\n" +
+        "                        { offset: 1, color: '#188df0' }\n" +
+        "                    ]) }\n" +
+        "                }]\n" +
+        "            });\n" +
+        "\n" +
+        "            // 图表3: 物料分类统计（库存量与记录数）\n" +
+        "            const chart3 = echarts.init(document.getElementById('chartByMaterial'));\n" +
+        "            chart3.setOption({\n" +
+        "                title: { text: '物料库存统计', left: 'center' },\n" +
+        "                tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } },\n" +
+        "                legend: { data: ['库存总量', '记录数'], top: '10%' },\n" +
+        "                grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true },\n" +
+        "                xAxis: {\n" +
+        "                    type: 'category',\n" +
+        "                    data: materialStats.map(item => item.code),\n" +
+        "                    axisLabel: { rotate: 45 }\n" +
+        "                },\n" +
+        "                yAxis: [\n" +
+        "                    { type: 'value', name: '库存总量', position: 'left' },\n" +
+        "                    { type: 'value', name: '记录数', position: 'right' }\n" +
+        "                ],\n" +
+        "                series: [\n" +
+        "                    {\n" +
+        "                        name: '库存总量',\n" +
+        "                        type: 'bar',\n" +
+        "                        data: materialStats.map(item => item.total),\n" +
+        "                        yAxisIndex: 0,\n" +
+        "                        itemStyle: { color: '#3498db' }\n" +
+        "                    },\n" +
+        "                    {\n" +
+        "                        name: '记录数',\n" +
+        "                        type: 'line',\n" +
+        "                        data: materialStats.map(item => item.count),\n" +
+        "                        yAxisIndex: 1,\n" +
+        "                        symbol: 'circle',\n" +
+        "                        symbolSize: 8,\n" +
+        "                        lineStyle: { color: '#e74c3c', width: 3 },\n" +
+        "                        itemStyle: { color: '#e74c3c' }\n" +
+        "                    }\n" +
+        "                ]\n" +
+        "            });\n" +
+        "        }\n" +
+        "\n" +
+        "        // 页面加载完成后执行\n" +
+        "        document.addEventListener('DOMContentLoaded', function() {\n" +
+        "            const processed = processData(stockData);\n" +
+        "            updateStats(processed);\n" +
+        "            renderDetailTable(processed.rawData);\n" +
+        "            initCharts(processed);\n" +
+        "            \n" +
+        "            // 响应窗口大小变化\n" +
+        "            window.addEventListener('resize', function() {\n" +
+        "                echarts.getInstanceByDom(document.getElementById('chartDistribution'))?.resize();\n" +
+        "                echarts.getInstanceByDom(document.getElementById('chartTop'))?.resize();\n" +
+        "                echarts.getInstanceByDom(document.getElementById('chartByMaterial'))?.resize();\n" +
+        "            });\n" +
+        "        });\n" +
+        "    </script>\n" +
+        "</body>\n" +
+        "</html>";
+
+
+
     /**
      * 流式聊天接口
      *
@@ -129,7 +543,7 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
             String messageContent = message.getContent().toString();
             aiRequest.setText(messageContent);
             aiRequest.setTexts(new String[]{messageContent});
-            StringBuilder sb = new StringBuilder(messageContent);
+//            StringBuilder sb = new StringBuilder(messageContent);
 
             Long embeddingModelId = aiRequest.getEmbeddingModelId();
             AiModel aiModel = aiModelMapper.selectById(embeddingModelId);
@@ -146,11 +560,11 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
             GetEmbeddingResponse embeddingResponses = tencentLkeProcessor.getEmbeddingResponses(aiRequest);
             //获取token使用数量，然后保存
             Usage usage = embeddingResponses.getUsage();
-            TokenUsage tokenUsage = new TokenUsage(null,null,usage.getTotalTokens());
+            TokenUsage tokenUsage = new TokenUsage(null, null, usage.getTotalTokens());
 
-            tencentLkeProcessor.saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION_VECTOR,"AI问答获取向量", null, tokenUsage,
-                embeddingModelId,  aiRequest.getKnowledgeBaseId(),   null,
-                null, null, "0", "1",LoginHelper.getUserId(),LoginHelper.getTenantId(),LoginHelper.getDeptId());
+            tencentLkeProcessor.saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_QUESTION_VECTOR, "AI问答获取向量", null, tokenUsage,
+                embeddingModelId, aiRequest.getKnowledgeBaseId(), null,
+                null, null, "0", "1", LoginHelper.getUserId(), LoginHelper.getTenantId(), LoginHelper.getDeptId());
 
 
             List<Double> queryEmbedding = tencentLkeProcessor.getEmbedding(embeddingResponses);
@@ -165,16 +579,19 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
                 throw new RuntimeException("未找到相关知识库内容");
             }
 
-            sb.append("\n####，请从以下知识库内容中获取答案:");
-            for (String content : searchResultList) {
-                sb.append("\n####").append(content);
-            }
+//            sb.append("\n####，请从以下知识库内容中获取答案:");
+//            for (String content : searchResultList) {
+//                sb.append("\n####").append(content);
+//            }
 
 //        sb.append("\n####,LLM是人工智能大模型。agent是一个智能助手，agent的任务是回答用户的问题");
 //        sb.append(("\n\n注意：回答问题时，须严格根据我给你的系统上下文内容原文进行回答，请不要自己发挥,回答时保持原来文本的段落层级"));
 
-            sb.append((!searchResultList.isEmpty() ? "\n\n注意：回答问题时，须严格根据我给你的系统上下文内容原文进行回答，请不要自己发挥,回答时保持原来文本的段落层级" : ""));
-            message.setContent(sb.toString());
+//            sb.append((!searchResultList.isEmpty() ? "\n\n注意：回答问题时，须严格根据我给你的系统上下文内容原文进行回答，请不要自己发挥,回答时保持原来文本的段落层级" : ""));
+
+            String optimizedPrompt = buildKnowledgeBasedPrompt(messageContent, searchResultList);
+
+            message.setContent(optimizedPrompt);
 
             return aiRequest;
         } catch (Exception e) {
@@ -183,6 +600,49 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
         }
     }
 
+
+
+    /**
+     * 构建知识库提示词
+     */
+    private String buildKnowledgeBasedPrompt(String userQuestion, List<String> searchResults) {
+        StringBuilder promptBuilder = new StringBuilder();
+
+        if (searchResults.isEmpty()) {
+            // 没有找到相关知识库内容
+            promptBuilder.append("用户问题：").append(userQuestion).append("\n\n");
+            promptBuilder.append("【重要提示】当前知识库中没有找到相关内容。\n");
+            promptBuilder.append("请直接回复：\"根据现有资料，无法回答此问题。\"");
+            return promptBuilder.toString();
+        }
+
+        // 构建结构化的prompt
+        promptBuilder.append("【指令说明】\n");
+        promptBuilder.append("你是一个专业的信息检索助手，需要严格根据提供的知识库内容回答问题。\n\n");
+
+        promptBuilder.append("【知识库内容】\n");
+        promptBuilder.append("以下是从知识库中检索到的相关信息：\n\n");
+
+        for (int i = 0; i < searchResults.size(); i++) {
+            promptBuilder.append("--- 知识片段 ").append(i + 1).append(" ---\n");
+            promptBuilder.append(searchResults.get(i)).append("\n\n");
+        }
+
+        promptBuilder.append("【用户问题】\n");
+        promptBuilder.append(userQuestion).append("\n\n");
+
+        promptBuilder.append("【回答要求】\n");
+        promptBuilder.append("1. 必须严格基于上述知识库内容回答\n");
+        promptBuilder.append("2. 如果知识库内容不足以回答问题，请明确说明\n");
+        promptBuilder.append("3. 保持原文的准确性和细节，不要添加任何外部知识\n");
+        promptBuilder.append("4. 如果知识库中有多个相关内容，请整合信息进行回答\n");
+        promptBuilder.append("5. 使用清晰、有条理的方式组织答案\n\n");
+
+        promptBuilder.append("请基于知识库内容回答用户问题：");
+
+        return promptBuilder.toString();
+    }
+
     /**
      * 创建标准化的错误事件JSON字符串
      */
@@ -220,6 +680,7 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
     @Override
     public String generateSQL(AIRequest aiRequest) {
         String naturalLanguageQuery = aiRequest.getText();
+
         // 1. 获取数据库结构
         String dataName = StringUtils.isNotBlank(aiRequest.getDataName()) ? aiRequest.getDataName() : "master";
         String schemaDescription = redisTemplate.opsForValue().get(HwMomAiConstants.AI_DATABASE_SCHEMA_KEY_PREFIX + dataName);
@@ -228,72 +689,165 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
         }
 
         JSONObject schemaJson = JSONObject.parseObject(schemaDescription);
-        StringBuilder sb = new StringBuilder("SQL Server 数据库结构：\n\n");
-        schemaJson.entrySet().forEach(entry -> {
-//            sb.append(entry.getKey()).append("\n");
-            sb.append(entry.getValue()).append("\n\n");
-        });
-//        sb.append(schemaDescription);
+        String formattedSchema = formatDatabaseSchema(schemaJson);
 
-        // 2. 构建 AI 提示
-        String prompt = String.format(
-            "你是一个专业的 SQL Server 数据库专家。必须基于表结构生成SQL,其中的表名和字段名必须来自表结构信息(如果以下数据库结构中没有则返回select * from):\n\n%s\n\n" +
-                "请将以下自然语言查询转换为优化的 SQL Server T-SQL 语句:\n" +
-                "---\n%s\n---\n\n" +
-                "要求:\n" +
-                "1. 只返回 SQL 语句，不要包含解释\n" +
-                "2. 使用 SQL Server 特有的语法（如 TOP 而不是 LIMIT）\n" +
-                "3. 考虑性能优化\n" +
-                "4. 使用合适的索引提示（如果需要）\n" +
-                "5. 包含必要的 WITH(NOLOCK) 提示（适用于高并发环境）\n" +
-                "6. 使用 ANSI 标准的 JOIN 语法 \n",
-            sb.toString(), naturalLanguageQuery
-        );
+        // 2. 构建AI提示词（使用优化后的模板）
+        String prompt = buildAIPrompt(formattedSchema, naturalLanguageQuery);
 
+        // 3. 调用AI服务
         IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory.getProcessorByPlatformId(aiRequest.getPlatformId());
         AIMessage aiMessage = new AIMessage();
         aiMessage.setRole("user");
         aiMessage.setContent(prompt);
         aiRequest.setMessages(Collections.singletonList(aiMessage));
+
         Mono<AIResponse> response = processor.chat(aiRequest);
-        if (Objects.requireNonNull(response.block()).isSuccess()) {
-            String content = response.block().getContent().toString();
-            //content内容需要转换，通过deepseek返回的如：
-//            ```sql
-//                SELECT
-//            dept_id,
-//                tenant_id,
-//                parent_id,
-//                ancestors,
-//                dept_name,
-//                dept_category,
-//                order_num,
-//                leader,
-//                phone,
-//                email,
-//                status,
-//                del_flag,
-//                create_dept,
-//                create_by,
-//                create_time,
-//                update_by,
-//                update_time
-//            FROM sys_dept WITH(NOLOCK)
-//            WHERE del_flag = '0'
-//            ORDER BY order_num, dept_id;
-//```
-            processor.saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_SQL,prompt, content,response.block().getTokenUsage(),
-                aiRequest.getModelId(), null,null,
-                null,null,"0","1",LoginHelper.getUserId(),LoginHelper.getTenantId(),LoginHelper.getDeptId());
-            return extractSqlFromContent(content);
-
-        } else {
-            throw new RuntimeException("生成sql语句失败" + response.block().getErrorMessage());
-        }
 
+        // 4. 处理响应
+        return handleAIResponse(response, aiRequest, processor, prompt);
     }
 
 
+    /**
+     * 格式化数据库结构
+     */
+    private String formatDatabaseSchema(JSONObject schemaJson) {
+        StringBuilder sb = new StringBuilder("SQL Server 数据库结构：\n\n");
+
+        // 统计各类表，便于AI分析
+        Map<String, List<String>> tableCategories = new HashMap<>();
+
+        schemaJson.entrySet().forEach(entry -> {
+            String tableName = entry.getKey();
+            String tableInfo = entry.getValue().toString();
+            sb.append(tableInfo).append("\n\n");
+
+            // 自动分类表（简化版，可根据实际需求扩展）
+            if (tableName.startsWith("wms_")) {
+                tableCategories.computeIfAbsent("仓储管理相关表", k -> new ArrayList<>()).add(tableName);
+            } else if (tableName.startsWith("base_")) {
+                tableCategories.computeIfAbsent("基础信息表", k -> new ArrayList<>()).add(tableName);
+            } else if (tableName.startsWith("dms_") || tableName.contains("sys_user")) {
+                tableCategories.computeIfAbsent("设备管理相关表", k -> new ArrayList<>()).add(tableName);
+            } else if (tableName.startsWith("qc_") || tableName.contains("inspection")) {
+                tableCategories.computeIfAbsent("质量管理相关表", k -> new ArrayList<>()).add(tableName);
+            } else if (tableName.startsWith("prod_") || tableName.contains("log")) {
+                tableCategories.computeIfAbsent("MES相关表", k -> new ArrayList<>()).add(tableName);
+            } else if (tableName.startsWith("sys_")) {
+                tableCategories.computeIfAbsent("系统管理相关表", k -> new ArrayList<>()).add(tableName);
+            } else {
+                tableCategories.computeIfAbsent("其他表", k -> new ArrayList<>()).add(tableName);
+            }
+        });
+
+        // 添加表分类信息，帮助AI理解
+        sb.append("【表分类参考】\n");
+        tableCategories.forEach((category, tables) -> {
+            sb.append(category).append(": ").append(String.join(", ", tables)).append("\n");
+        });
+        sb.append("\n");
+
+        return sb.toString();
+    }
+
+    /**
+     * 构建AI提示词
+     */
+    private String buildAIPrompt(String schemaDescription, String naturalLanguageQuery) {
+        return String.format("""
+            你是一个专业的SQL Server数据库专家，需要根据用户查询意图和提供的表结构，智能选择最合适的表和字段生成SQL。
+
+            # 核心规则
+            1. **查询意图分析**：
+               - 分析用户查询的自然语言，识别关键词
+               - 根据关键词选择最相关的表
+
+            2. **表选择策略**：
+               - 如果查询意图明确（如"库存"、"物料"、"用户"），选择对应的核心表
+               - 如果查询需要关联信息，进行必要的JOIN
+               - 优先选择包含核心业务数据的表
+
+            3. **字段选择原则**：
+               - 选择与查询意图最相关的字段
+               - 包含必要的标识字段（如ID、编码）
+               - 使用有意义的字段别名（中文优先）
+
+            4. **SQL规范**：
+               - 使用SQL Server特有语法（TOP、WITH(NOLOCK)）
+               - 使用ANSI JOIN语法
+               - 默认添加合理的时间排序：ORDER BY create_time DESC 或 update_time DESC
+               - 如果表有状态字段（status），默认只查询正常状态的数据
+               - 如果表有删除标记（del_flag），默认过滤已删除的数据（del_flag = '0'）；注意有的表没有del_flag
+               - 不要添加未明确要求的过滤条件
+               - 每个字段必须有AS别名
+               - 每个表必须有表别名
+               - 在JOIN和WHERE条件中必须使用表别名.字段名格式
+
+
+            5. **性能优化**：
+               - 添加WITH(NOLOCK)提示（适用于高并发环境）
+               - 使用TOP限制结果集（默认TOP 1000）
+               - 在JOIN条件字段上应该建立索引
+
+            # 数据库表结构
+            %s
+
+            # 用户查询
+            %s
+
+            # 生成要求
+            基于以上规则，请：
+            1. 分析用户查询意图
+            2. 选择最合适的表和字段
+            3. 生成优化后的T-SQL语句
+            4. 只返回SQL语句，不要任何解释
+
+            请生成SQL：""", schemaDescription, naturalLanguageQuery);
+    }
+
+    /**
+     * 处理AI响应
+     */
+    private String handleAIResponse(Mono<AIResponse> response, AIRequest aiRequest,
+                                    IUnifiedAIProviderProcessor processor, String prompt) {
+        AIResponse aiResponse = response.block();
+        if (aiResponse == null) {
+            throw new RuntimeException("AI服务无响应");
+        }
+
+        if (!aiResponse.isSuccess()) {
+            throw new RuntimeException("生成SQL语句失败：" + aiResponse.getErrorMessage());
+        }
+
+        String content = aiResponse.getContent().toString();
+
+        // 提取SQL语句
+        String sqlContent = extractSqlFromContent(content);
+
+        // 保存token使用记录
+        try {
+            processor.saveTokenUsage(
+                aiRequest.getMessageDetailType(),
+                prompt,
+                sqlContent,
+                aiResponse.getTokenUsage(),
+                aiRequest.getModelId(),
+                null,
+                null,
+                null,
+                aiRequest.getSessionId(),
+                "0",
+                "1",
+                LoginHelper.getUserId(),
+                LoginHelper.getTenantId(),
+                LoginHelper.getDeptId()
+            );
+        } catch (Exception e) {
+            throw new RuntimeException("保存token使用记录失败" + e.getMessage());
+        }
+
+        return sqlContent;
+    }
 
 
     /**
@@ -354,37 +908,120 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
     }
 
 
-    // 专门处理 Markdown SQL 代码块
-    private static String extractSqlFromContent(String content) {
-        // 情况1：如果包含 ```sql ... ``` 格式
-        if (content.contains("```sql")) {
-            int start = content.indexOf("```sql") + 6; // 跳过 ```sql
-            int end = content.lastIndexOf("```");
+    /**
+     * 从AI响应内容中提取SQL语句
+     */
+    private String extractSqlFromContent(String content) {
+        if (StringUtils.isBlank(content)) {
+            return "";
+//            return "SELECT 1 AS Error WHERE 1=0; -- 未生成SQL";
+        }
+
+        // 清理内容
+        String cleanedContent = content.trim();
+
+        // 1. 如果包含 ```sql ``` 标记，提取中间内容
+        if (cleanedContent.contains("```sql")) {
+            int start = cleanedContent.indexOf("```sql") + 6;
+            int end = cleanedContent.lastIndexOf("```");
             if (end > start) {
-                content = content.substring(start, end).trim();
+                cleanedContent = cleanedContent.substring(start, end).trim();
             }
         }
 
-        // 情况2：如果只有 ``` ... ```（没有 sql 标注）
-        if (content.contains("```")) {
-            int start = content.indexOf("```") + 3;
-            int end = content.lastIndexOf("```");
+        // 2. 如果包含 ``` 标记（无语言标识），提取中间内容
+        if (cleanedContent.contains("```")) {
+            int start = cleanedContent.indexOf("```") + 3;
+            int end = cleanedContent.lastIndexOf("```");
             if (end > start) {
-                content = content.substring(start, end).trim();
+                cleanedContent = cleanedContent.substring(start, end).trim();
             }
         }
 
-        //        content = extractSqlFromText(content);
-        content = content.replace("\\n", "\n")  // 处理转义的换行符
-            .replace("\n", " ");
+        // 3. 移除可能的SQL解释或说明文本
+        String[] lines = cleanedContent.split("\n");
+        StringBuilder sqlBuilder = new StringBuilder();
+        boolean sqlStarted = false;
 
-        content = content.trim();
-        if ((content.startsWith("\"") && content.endsWith("\"")) ||
-            (content.startsWith("'") && content.endsWith("'"))) {
-            content = content.substring(1, content.length() - 1);
+        for (String line : lines) {
+            String trimmedLine = line.trim();
+
+            // 跳过空行和明显的非SQL行
+            if (trimmedLine.isEmpty() ||
+                trimmedLine.startsWith("--") ||
+                trimmedLine.startsWith("/*") ||
+                trimmedLine.startsWith("解释") ||
+                trimmedLine.startsWith("说明") ||
+                trimmedLine.startsWith("分析") ||
+                trimmedLine.toLowerCase().startsWith("here") ||
+                trimmedLine.toLowerCase().startsWith("this sql") ||
+                trimmedLine.toLowerCase().startsWith("the sql")) {
+                continue;
+            }
+
+            // 如果遇到SELECT/INSERT/UPDATE/DELETE，开始收集
+            if (!sqlStarted &&
+                (trimmedLine.toUpperCase().startsWith("SELECT") ||
+                    trimmedLine.toUpperCase().startsWith("WITH") ||
+                    trimmedLine.toUpperCase().startsWith("INSERT") ||
+                    trimmedLine.toUpperCase().startsWith("UPDATE") ||
+                    trimmedLine.toUpperCase().startsWith("DELETE"))) {
+                sqlStarted = true;
+            }
+
+            if (sqlStarted) {
+                sqlBuilder.append(line).append("\n");
+            }
         }
 
-        return content.trim();
+        String finalSql = sqlBuilder.toString().trim();
+
+        // 4. 确保SQL以分号结束
+        if (!finalSql.endsWith(";")) {
+            finalSql += ";";
+        }
+
+        // 5. 如果是空SQL，返回安全查询
+        if (StringUtils.isBlank(finalSql) || finalSql.equals(";")) {
+            return "";
+//            return "SELECT 1 AS NoSQLGenerated WHERE 1=0; -- 未能生成有效SQL";
+        }
+
+        return finalSql;
+    }
+
+
+    /**
+     * 可选：添加SQL验证方法（可选增强）
+     */
+    private boolean validateGeneratedSQL(String sql) {
+        if (StringUtils.isBlank(sql)) {
+            return false;
+        }
+
+        // 基础验证
+        String upperSql = sql.toUpperCase();
+
+        // 检查是否包含潜在危险操作
+        if (upperSql.contains("DROP ") ||
+            upperSql.contains("TRUNCATE ") ||
+            upperSql.contains("ALTER ") ||
+            upperSql.contains("CREATE ") ||
+            upperSql.contains("EXEC ") ||
+            upperSql.contains("EXECUTE ") ||
+            upperSql.contains("SP_") ||
+            upperSql.contains("XP_")) {
+//            log.warn("生成的SQL可能包含危险操作: {}", sql.substring(0, Math.min(sql.length(), 100)));
+            return false;
+        }
+
+        // 检查是否是有效的SELECT查询（如果是查询场景）
+        if (!upperSql.contains("SELECT")) {
+//            log.warn("生成的SQL不是SELECT查询: {}", sql.substring(0, Math.min(sql.length(), 100)));
+            return false;
+        }
+
+        return true;
     }
 
 
@@ -407,34 +1044,38 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
 //        }
 
 
-        String naturalLanguageQuery = aiFillFormRequest.getNaturalLanguageQuery()+".";
+        String naturalLanguageQuery = aiFillFormRequest.getNaturalLanguageQuery();
         List<AiFormSettingDetail> aiFormSettingDetailList = aiFillFormRequest.getFormSettingDetailList();
-        StringBuilder sb = new StringBuilder("你是一个智能表单填充助手。请根据我的要求、提供的数据库表结构信息，生成一份用于直接填充Vue3前端表单的JSON数据。\n\n");
-
-        sb.append("【要求】\n");
-        sb.append(naturalLanguageQuery).append(",\n\n");
-
-        sb.append("【数据库表信息】\n");
-        sb.append(getFormattedFormSettingDetails(aiFormSettingDetailList));
-
-        sb.append("\n【输出要求】\n");
-        sb.append("1. 请根据我的核心要求，智能推断并填充所有相关字段的值\n");
-        sb.append("2. 生成一个纯净的JSON对象，不要任何额外的解释、文本或markdown代码块标记，键是字段名，值是根据我的要求推断出来的值\n");
-//        sb.append("3. 请返回**纯净的JSON格式**数据，不要任何额外的解释、文本或markdown代码块标记\n");
-        sb.append("3. 仅返回一个JSON对象，不要返回JSON数组,不要返回任何测试数据和推测的数据\n");
-        sb.append("4. 其中的表名和字段名必须来自数据库表结构信息\n");
-        sb.append("5. 其他没有要求返回的数据返回空字符串\n");
+        String prompt = buildAiFillFormPrompt(
+            naturalLanguageQuery,
+            aiFormSettingDetailList
+        );
+//        StringBuilder sb = new StringBuilder("你是一个智能表单填充助手。请根据我的要求、提供的数据库表结构信息，生成一份用于直接填充Vue3前端表单的JSON数据。\n\n");
+//
+//        sb.append("【要求】\n");
+//        sb.append(naturalLanguageQuery).append("\n\n");
+//
+//        sb.append("【数据库表信息】\n");
+//        sb.append(getFormattedFormSettingDetails(aiFormSettingDetailList));
+//
+//        sb.append("\n【输出要求】\n");
+//        sb.append("1. 请根据我的核心要求，智能推断并填充所有相关字段的值\n");
+//        sb.append("2. 生成一个纯净的JSON对象，不要任何额外的解释、文本或markdown代码块标记，键是字段名，值是根据我的要求推断出来的值\n");
+////        sb.append("3. 请返回**纯净的JSON格式**数据，不要任何额外的解释、文本或markdown代码块标记\n");
+//        sb.append("3. 仅返回一个JSON对象，不要返回JSON数组,不要返回任何测试数据和推测的数据\n");
+//        sb.append("4. 其中的表名、字段名和条件中的字段名必须来自数据库表结构信息\n");
+//        sb.append("5. 其他没有要求返回的数据返回空字符串\n");
 
         IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory
             .getProcessorByPlatformId(aiFillFormRequest.getPlatformId());
         AIMessage aiMessage = new AIMessage();
         aiMessage.setRole("user");
-        aiMessage.setContent(sb.toString());
+        aiMessage.setContent(prompt);
 
         Long modelId = aiFillFormRequest.getModelId();
         AIRequest aiRequest = new AIRequest();
         aiRequest.setMessages(Collections.singletonList(aiMessage));
-        aiRequest.setText(sb.toString());
+        aiRequest.setText(prompt);
         aiRequest.setModelId(modelId);
 
         Mono<AIResponse> response = processor.chat(aiRequest);
@@ -442,9 +1083,9 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
             String content = response.block().getContent().toString();
             JSONObject contentJson = JSONObject.parseObject(content);
             parseRelateTable(aiFormSettingDetailList, contentJson);
-            processor.saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_FORM,sb.toString(), content, response.block().getTokenUsage(),
-                modelId,  null,   null,
-                 null, null, "0", "1",LoginHelper.getUserId(),LoginHelper.getTenantId(),LoginHelper.getDeptId());
+            processor.saveTokenUsage(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_FORM, prompt, content, response.block().getTokenUsage(),
+                modelId, null, null,
+                null, null, "0", "1", LoginHelper.getUserId(), LoginHelper.getTenantId(), LoginHelper.getDeptId());
 
             System.out.println(contentJson.toJSONString());
             return contentJson;
@@ -455,6 +1096,32 @@ public class AIAssistantServiceImpl implements IAIAssistantService {
 
     }
 
+    /**
+     * 构建AI提示词
+     */
+    private String buildAiFillFormPrompt(String naturalLanguageQuery,
+                               List<AiFormSettingDetail> formDetails) {
+        StringBuilder sb = new StringBuilder();
+        sb.append("你是一个智能表单填充助手。请根据以下要求填充表单：\n\n");
+
+        sb.append("【用户需求】\n")
+            .append(naturalLanguageQuery)
+            .append("\n\n");
+
+        sb.append("【表单结构】\n")
+            .append(getFormattedFormSettingDetails(formDetails))
+            .append("\n\n");
+
+        sb.append("【输出要求】\n")
+            .append("1. 根据需求推断并填充所有相关字段的值\n")
+            .append("2. 仅返回一个JSON对象，不要任何额外文本\n")
+            .append("3. 键名必须来自表单结构中的字段名\n")
+            .append("4. 未指定的字段返回空字符串\n")
+            .append("5. 不要随意添加标点符号");
+
+        return sb.toString();
+    }
+
     private void parseRelateTable(List<AiFormSettingDetail> aiFormSettingDetailList, JSONObject contentJson) {
         for (AiFormSettingDetail aiFormSettingDetail : aiFormSettingDetailList) {
             if (aiFormSettingDetail.getSettingFlag().equals("1")) {
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIReportServiceImpl.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIReportServiceImpl.java
new file mode 100644
index 00000000..d31da30c
--- /dev/null
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AIReportServiceImpl.java
@@ -0,0 +1,1964 @@
+package org.dromara.ai.service.impl;
+
+/**
+ * @Author xins
+ * @Date 2026/1/5 14:41
+ * @Description:AI报表分析服务实现类
+ */
+
+import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.github.yulichang.toolkit.JoinWrappers;
+import com.github.yulichang.wrapper.MPJLambdaWrapper;
+import jakarta.servlet.http.HttpServletResponse;
+import org.dromara.ai.domain.AiChatMessage;
+import org.dromara.ai.domain.AiChatMessageDetail;
+import org.dromara.ai.domain.bo.AiChatMessageBo;
+import org.dromara.ai.domain.bo.AiChatMessageDetailBo;
+import org.dromara.ai.domain.dto.AIReportResult;
+import org.dromara.ai.domain.dto.AIReportRequest;
+import org.dromara.ai.domain.dto.AIReportResponse;
+import org.dromara.ai.domain.vo.AiChatMessageDetailVo;
+import org.dromara.ai.domain.vo.AiChatMessageVo;
+import org.dromara.ai.mapper.AiChatMessageDetailMapper;
+import org.dromara.ai.mapper.AiChatMessageMapper;
+import org.dromara.ai.mapper.SQLServerDatabaseMetaMapper;
+import org.dromara.ai.process.dto.AIMessage;
+import org.dromara.ai.process.dto.AIRequest;
+import org.dromara.ai.process.provider.processor.AIProviderProcessorFactory;
+import org.dromara.ai.process.provider.processor.IUnifiedAIProviderProcessor;
+import org.dromara.ai.service.IAIReportService;
+import org.dromara.common.constant.HwMomAiConstants;
+import org.dromara.common.core.utils.StringUtils;
+import org.dromara.common.excel.utils.ExcelUtil;
+import org.dromara.common.json.utils.JsonUtils;
+import org.dromara.common.mybatis.core.page.PageQuery;
+import org.dromara.common.mybatis.core.page.TableDataInfo;
+import org.dromara.common.satoken.utils.LoginHelper;
+import org.dromara.system.api.model.LoginUser;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+import reactor.core.publisher.Flux;
+import reactor.core.publisher.Mono;
+
+import java.sql.Timestamp;
+import java.text.SimpleDateFormat;
+import java.time.Duration;
+import java.util.*;
+import java.util.concurrent.ThreadLocalRandom;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+@Service
+public class AIReportServiceImpl implements IAIReportService {
+
+    private static final Random RANDOM = ThreadLocalRandom.current();
+
+    // 默认时间格式
+    private static final String DEFAULT_DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
+
+    // 常用时间格式
+    public static final String FORMAT_DATE_ONLY = "yyyy-MM-dd";
+    public static final String FORMAT_DATETIME = "yyyy-MM-dd HH:mm:ss";
+    public static final String FORMAT_DATETIME_MS = "yyyy-MM-dd HH:mm:ss.SSS";
+    public static final String FORMAT_ISO8601 = "yyyy-MM-dd'T'HH:mm:ss'Z'";
+
+
+    @Autowired
+    private SQLServerDatabaseMetaMapper databaseMetaMapper;
+
+    @Autowired
+    private AIProviderProcessorFactory aiProviderProcessorFactory;
+
+    @Autowired
+    private AiChatMessageMapper aiChatMessageMapper;
+
+    @Autowired
+    private AiChatMessageDetailMapper aiChatMessageDetailMapper;
+
+    @Autowired
+    private ObjectMapper objectMapper;
+
+
+    public Mono<AIReportResponse> generateReport(String provider, AIRequest aiRequest) {
+        // 创建final副本
+        final AIRequest finalAiRequest = aiRequest;
+        final LoginUser loginUser = LoginHelper.getLoginUser();
+
+        // 提前获取messages并进行验证
+        final List<AIMessage> messages = finalAiRequest.getMessages();
+        if (messages == null || messages.isEmpty()) {
+//            return Mono.just(createErrorResponse("消息列表不能为空"));
+        }
+
+        // 1. 查询数据库获取数据
+//        String sql1 = "select * from wms_inventory";
+        List<Map<String, Object>> reportData = new ArrayList<>();
+        String reportSql = "";
+        try {
+            reportSql = aiRequest.getSql();
+            reportData = databaseMetaMapper.dynamicSelectSql(reportSql);
+            if (reportData == null || reportData.isEmpty()) {
+                throw new RuntimeException("未查询到数据[" + reportSql + "]");
+            }
+        } catch (Exception e) {
+            //todo:删除或修改状态为删除，sql语句不能用
+            throw new RuntimeException("生成SQL有误[" + reportSql + "]");
+        }
+
+        String sessionId = aiRequest.getSessionId();
+        AiChatMessageDetailBo aiChatMessageDetailBo = new AiChatMessageDetailBo();
+        aiChatMessageDetailBo.setSessionId(sessionId);
+        aiChatMessageDetailBo.setMessageDetailType(HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT);
+        AiChatMessageDetailVo aiChatMessageDetailVo = getRecentReportInfo(aiChatMessageDetailBo);
+
+        List<Map<String, Object>> finalReportData = reportData;
+        if (aiChatMessageDetailVo != null && StringUtils.isNotBlank(aiChatMessageDetailVo.getAnswerContent())) {
+            AIReportResponse aiReportResponse = new AIReportResponse();
+            aiReportResponse.setData(finalReportData);
+            aiReportResponse.setChartHtml(aiChatMessageDetailVo.getAnswerContent());
+            return Mono.just(aiReportResponse);
+        } else {
+            // 2. 构建详细的提示词
+            StringBuilder sb = new StringBuilder();
+            sb.append("你是一个智能报表助手。请根据我的要求、提供的数据信息，生成一份直接可以运行预览的HTML数据。\n\n");
+//        sb.append("返回一段简单的柱状图，直接可以运行的HTML数据");
+
+            sb.append("【要求】\n");
+            sb.append("1. 请基于以下数据生成分析报表：\n");
+            sb.append(JsonUtils.toJsonString(reportData));
+            sb.append("\n\n");
+
+            sb.append("2. 报表需要包含以下内容：\n");
+            sb.append("   - 总览\n");
+            sb.append("   - 图表展示（分布、趋势等）\n");
+            sb.append("   - 详细数据表格\n\n");
+//
+            sb.append("【输出要求】\n");
+            sb.append("1. 生成一个完整的、独立的HTML页面\n");
+            sb.append("2. HTML内容以<html>开头，</html>结束\n");
+            sb.append("3. 页面包含CSS样式，确保美观\n");
+            sb.append("4. 使用ECharts生成图表，但不要引用外部JS（父页面已引用）,在<script></script>内的第一行固定写如下代码：let echarts = window.parent.echarts;然后换行\n");
+            sb.append("5. 图表或列表引用的数据不需要再返回，直接引用父页面的数据，在<script></script>中的第二行固定写如下代码： const rawData = window.parent.reportData;\n");
+//            sb.append("6. 在加载遍历数据rawData时，不要用item.key，用item[key]\n");
+            sb.append("6. 不要包含任何额外的解释、注释、文本或markdown代码块标记\n");
+            sb.append("7. 不要有换行，只返回一行代码\n");
+            sb.append("8. 确保HTML可以直接在浏览器中运行\n");
+
+//        sb.append("\n【数据说明】\n");
+//        sb.append("这是WMS库存数据，包含物料编码、物料名称、库存数量、单位、仓库位置等信息。\n");
+
+            sb.append("\n【示例格式】\n");
+            sb.append("""
+                <html>
+                <head>
+                    <style>
+                        /* CSS样式 */
+                        body { font-family: Arial, sans-serif; margin: 20px; }
+                    </style>
+                </head>
+                <body>
+                    <h1>分析报表</h1>
+                    <div id="chart1" class="chart-container"></div>
+                    <div id="chart2" class="chart-container"></div>
+                    <h2>详细数据</h2>
+                    <table>...</table>
+                    <script>
+                        // ECharts初始化代码
+                        let echarts = window.parent.echarts;
+                        const rawData = window.parent.reportData;
+                        var chart1 = echarts.init(document.getElementById('chart1'));
+                        chart1.setOption({...});
+                    </script>
+                </body>
+                </html>
+                """);
+
+            // 3. 准备AI请求
+            String prompt = sb.toString();
+            final String messageTopic = messages.get(messages.size() - 1).getContent();
+
+            finalAiRequest.setMessageTopic(messageTopic);
+            finalAiRequest.setQuestionContent(prompt);
+
+            AIMessage aiMessage = new AIMessage();
+            aiMessage.setRole("user");
+            aiMessage.setContent(prompt);
+            finalAiRequest.setMessages(Collections.singletonList(aiMessage));
+
+            // 设置合适的参数
+            if (finalAiRequest.getTemperature() == null) {
+                finalAiRequest.setTemperature(0.7); // 适中的创造性
+            }
+            if (finalAiRequest.getMaxTokens() == null) {
+                finalAiRequest.setMaxTokens(8000); // 增加token限制以容纳HTML
+            }
+
+            // 4. 调用AI并收集完整响应
+
+            return Mono.defer(() -> {
+                try {
+                    IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory.getProcessor(provider);
+                    AIReportResponse aiReportResponse = new AIReportResponse();
+                    aiReportResponse.setData(finalReportData);
+
+                    // 使用cache()确保流内容只计算一次
+                    Flux<String> cachedStream = processor.chatStreamComplete(finalAiRequest, loginUser)
+                        .map(content -> content != null ? content.getContent() : "")
+                        .cache(); // 关键：缓存流内容
+
+                    // 收集数据
+                    return cachedStream
+                        .collect(StringBuilder::new, StringBuilder::append)
+                        .map(fullContentBuilder -> {
+                            String fullContent = fullContentBuilder.toString();
+//                        String processedHtml = processAndValidateHtml(fullContent);
+
+
+//                            System.out.println(fullContent);
+                            aiReportResponse.setChartHtml(fullContent);
+//                        return buildSuccessAIReportResponse(processedHtml, sql1, testData, prompt);
+                            return aiReportResponse;
+                        })
+                        .timeout(Duration.ofSeconds(600))
+                        .onErrorResume(throwable -> {
+                            System.out.println("生成报表失败: " + throwable.getMessage());
+                            throwable.printStackTrace();
+//                        return Mono.just(createErrorAIReportResponse("生成报表失败: " + throwable.getMessage()));
+                            return null;
+                        });
+
+                } catch (Exception e) {
+                    e.printStackTrace();
+                    System.out.println("#123222222");
+//                log.error("生成报表时发生异常", e);
+                    throw new RuntimeException("");
+                }
+            });
+        }
+
+    }
+
+
+    /**
+     * 获取最近5条AI生成报表的信息
+     *
+     * @return List<AiChatMessageVo>
+     */
+    @Override
+    public TableDataInfo<AiChatMessage> getRecentReports() {
+        MPJLambdaWrapper<AiChatMessage> lqw = JoinWrappers.lambda(AiChatMessage.class)
+            .selectAll(AiChatMessage.class)
+            .eq(AiChatMessage::getMessageType, HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT)
+            .orderByDesc(AiChatMessage::getChatMessageId);
+
+        PageQuery pageQuery = new PageQuery();
+        pageQuery.setPageNum(1);
+        pageQuery.setPageSize(5);
+        Page<AiChatMessage> aiChatMessageVos = aiChatMessageMapper.selectPage(pageQuery.build(), lqw);
+        return TableDataInfo.build(aiChatMessageVos);
+
+    }
+
+
+    /**
+     * 根据sessionid和messagedetailtype获取一条最新的AI生成报表详细信息
+     *
+     * @param aiChatMessageDetailBo
+     * @return AiChatMessageDetailVo
+     */
+    @Override
+    public AiChatMessageDetailVo getRecentReportInfo(AiChatMessageDetailBo aiChatMessageDetailBo) {
+        MPJLambdaWrapper<AiChatMessageDetail> lqw = JoinWrappers.lambda(AiChatMessageDetail.class)
+            .selectAll(AiChatMessageDetail.class)
+            .eq(AiChatMessageDetail::getMessageDetailType, aiChatMessageDetailBo.getMessageDetailType())
+            .eq(AiChatMessageDetail::getSessionId, aiChatMessageDetailBo.getSessionId())
+            .orderByDesc(AiChatMessageDetail::getMessageDetailId);
+
+        List<AiChatMessageDetailVo> aiChatMessageDetailVos = aiChatMessageDetailMapper.selectVoList(lqw);
+
+        AiChatMessageDetailVo aiChatMessageDetailVo = aiChatMessageDetailVos != null && !aiChatMessageDetailVos.isEmpty()
+            ? aiChatMessageDetailVos.get(0) : new AiChatMessageDetailVo();
+
+        return aiChatMessageDetailVo;
+
+    }
+
+
+    // 辅助方法：处理并验证HTML
+    private String processAndValidateHtml(String html) {
+        if (html == null || html.trim().isEmpty()) {
+            return "<html><body><h3>报表内容为空</h3></body></html>";
+        }
+
+        // 清理可能的markdown代码块
+        String cleaned = html.replaceAll("```html", "")
+            .replaceAll("```", "")
+            .trim();
+
+        // 确保以<html>开头
+        if (!cleaned.startsWith("<html")) {
+            cleaned = "<html><body>" + cleaned + "</body></html>";
+        }
+
+        // 确保有完整的HTML结构
+        if (!cleaned.contains("<head>")) {
+            cleaned = cleaned.replaceFirst("<html>",
+                "<html><head><meta charset=\"UTF-8\"><title>库存分析报表</title></head>");
+        }
+
+        // 添加基础样式
+        if (!cleaned.contains("<style>")) {
+            cleaned = cleaned.replaceFirst("</head>",
+                """
+                    </head>
+                    <style>
+                        body { font-family: 'Microsoft YaHei', Arial, sans-serif; margin: 20px; color: #333; }
+                        .container { max-width: 1200px; margin: 0 auto; }
+                        .header { text-align: center; margin-bottom: 30px; border-bottom: 2px solid #1890ff; padding-bottom: 15px; }
+                        .section { margin-bottom: 30px; padding: 20px; background: #f8f9fa; border-radius: 8px; }
+                        .chart-container { height: 400px; width: 100%; margin: 20px 0; }
+                        table { width: 100%; border-collapse: collapse; margin: 15px 0; }
+                        th { background: #1890ff; color: white; font-weight: bold; }
+                        th, td { border: 1px solid #dee2e6; padding: 12px; text-align: left; }
+                        .summary-card { display: inline-block; padding: 15px; margin: 10px; background: white; border-radius: 5px; box-shadow: 0 2px 8px rgba(0,0,0,0.1); }
+                        .highlight { color: #1890ff; font-size: 1.2em; font-weight: bold; }
+                    </style>
+                    """);
+        }
+
+        return cleaned;
+    }
+
+
+    // 辅助方法：创建错误响应
+    private String createErrorResponse(String errorMessage) {
+        AIReportResult result = new AIReportResult();
+        result.setSuccess(false);
+        result.setCode("ERROR");
+        result.setMessage(errorMessage);
+        return JsonUtils.toJsonString(result);
+    }
+
+
+    /**
+     * 导出AI生成报表的数据（excel格式）
+     *
+     * @param aiRequest
+     * @param response
+     */
+    @Override
+    public void exportReportData(AIRequest aiRequest, HttpServletResponse response) {
+        String reportSql = aiRequest.getSql();
+        List<Map<String, Object>> reportData = new ArrayList<>();
+//        try {
+        reportData = databaseMetaMapper.dynamicSelectSql(reportSql);
+        if (reportData == null || reportData.isEmpty()) {
+            throw new RuntimeException("未查询到数据[" + reportSql + "]");
+        }
+
+        // 1. 获取所有列名（保持顺序）
+        List<String> allColumns = getAllColumns(reportData, null);
+
+        // 2. 构建表头
+        List<List<String>> headers = buildHeaders(allColumns, null);
+
+        // 3. 构建数据
+        SimpleDateFormat sdf = new SimpleDateFormat(DEFAULT_DATE_FORMAT);
+        List<List<Object>> data = buildDataWithTimestampConversion(reportData, allColumns, sdf);
+
+        ExcelUtil.exportExcelWithDynamicHead(data, headers, aiRequest.getText(), response);
+
+//        } catch (Exception e) {
+//            e.printStackTrace();
+//            throw new RuntimeException("导出数据有误[" + e + "]");
+//        }
+
+    }
+
+
+    /**
+     * 获取所有列名
+     */
+    private static List<String> getAllColumns(List<Map<String, Object>> mapList,
+                                              List<String> columnOrder) {
+        // 使用LinkedHashSet保持顺序并去重
+        Set<String> columnSet = new LinkedHashSet<>();
+
+        // 如果指定了列顺序，按指定顺序添加
+        if (columnOrder != null && !columnOrder.isEmpty()) {
+            columnSet.addAll(columnOrder);
+        }
+
+        // 添加所有Map中存在的key
+        for (Map<String, Object> map : mapList) {
+            if (map != null) {
+                columnSet.addAll(map.keySet());
+            }
+        }
+
+        return new ArrayList<>(columnSet);
+    }
+
+    /**
+     * 构建表头
+     */
+    private static List<List<String>> buildHeaders(List<String> columns,
+                                                   Map<String, String> headerMapping) {
+        List<List<String>> headers = new ArrayList<>();
+
+        // 单行表头
+        List<String> headerRow = new ArrayList<>();
+        for (String column : columns) {
+            // 如果有表头映射，使用映射后的名称，否则使用原始列名
+            String headerName = headerMapping != null && headerMapping.containsKey(column)
+                ? headerMapping.get(column)
+                : column;
+            headers.add(Collections.singletonList(headerName));
+        }
+
+
+        // 如果需要多级表头，可以在这里添加更多行
+        // headers.add(secondHeaderRow);
+
+        return headers;
+    }
+
+    /**
+     * 构建数据
+     */
+    private static List<List<Object>> buildData(List<Map<String, Object>> mapList,
+                                                List<String> columns) {
+        List<List<Object>> data = new ArrayList<>();
+
+        for (Map<String, Object> map : mapList) {
+            List<Object> row = new ArrayList<>();
+
+            for (String column : columns) {
+                Object value = map.get(column);
+
+                // 处理嵌套对象（支持点号分隔的路径）
+                if (value == null && column.contains(".")) {
+                    value = getNestedValue(map, column);
+                }
+
+                // 处理特殊值
+                if (value == null) {
+                    row.add("");
+                } else if (value instanceof Date) {
+                    row.add(value); // 保持Date对象，前端可以格式化
+                } else {
+                    row.add(value);
+                }
+            }
+
+            data.add(row);
+        }
+
+        return data;
+    }
+
+
+    /**
+     * 构建数据（转换时间戳为字符串）
+     */
+    private static List<List<Object>> buildDataWithTimestampConversion(
+        List<Map<String, Object>> mapList,
+        List<String> columns,
+        SimpleDateFormat dateFormat) {
+
+        List<List<Object>> data = new ArrayList<>();
+
+        for (Map<String, Object> map : mapList) {
+            List<Object> row = new ArrayList<>();
+
+            for (String column : columns) {
+                Object value = map.get(column);
+
+                // 转换时间戳
+                value = convertTimestampToString(value, dateFormat);
+
+                // 处理null值
+                if (value == null) {
+                    row.add("");
+                } else {
+                    row.add(value);
+                }
+            }
+
+            data.add(row);
+        }
+
+        return data;
+    }
+
+    /**
+     * 转换时间戳对象为字符串
+     */
+    private static Object convertTimestampToString(Object value, SimpleDateFormat dateFormat) {
+        if (value == null) {
+            return null;
+        }
+
+        // 处理Timestamp类型
+        if (value instanceof Timestamp) {
+            Timestamp timestamp = (Timestamp) value;
+            return dateFormat.format(new Date(timestamp.getTime()));
+        }
+
+        // 处理java.util.Date类型
+        if (value instanceof Date) {
+            Date date = (Date) value;
+            return dateFormat.format(date);
+        }
+
+        // 处理java.sql.Date类型
+        if (value instanceof java.sql.Date) {
+            java.sql.Date sqlDate = (java.sql.Date) value;
+            return dateFormat.format(new Date(sqlDate.getTime()));
+        }
+
+        // 其他类型保持原样
+        return value;
+    }
+
+
+    /**
+     * 获取嵌套对象的值
+     */
+    private static Object getNestedValue(Map<String, Object> map, String path) {
+        if (path == null || !path.contains(".")) {
+            return map.get(path);
+        }
+
+        String[] keys = path.split("\\.");
+        Object value = map;
+
+        for (String key : keys) {
+            if (value instanceof Map) {
+                value = ((Map<?, ?>) value).get(key);
+            } else {
+                return null;
+            }
+        }
+
+        return value;
+    }
+
+    /**
+     * 流式聊天接口
+     *
+     * @param provider
+     * @param aiRequest
+     * @return Flux<String>
+     */
+    @Override
+    public Flux<String> streamGenerateReport(String provider, AIRequest aiRequest) {
+        // 创建final副本
+        final AIRequest finalAiRequest = aiRequest;
+        final LoginUser loginUser = LoginHelper.getLoginUser();
+
+        // 提前获取messages并进行验证
+        final List<AIMessage> messages = finalAiRequest.getMessages();
+        if (messages == null || messages.isEmpty()) {
+            return Flux.just(createErrorEvent(new IllegalArgumentException("消息列表不能为空")));
+        }
+
+        String sql1 = "select * from wms_inventory";
+
+        List<Map<String, Object>> testData = databaseMetaMapper.dynamicSelectSql(sql1);
+        StringBuilder sb = new StringBuilder();
+        sb.append("你是一个智能报表助手。请根据我的要求、提供的数据信息，生成一份直接可以运行预览的HTML数据。\n\n");
+
+        sb.append("【要求】\n");
+        sb.append("1. 请基于以下库存数据生成分析报表：\n");
+        sb.append(JsonUtils.toJsonString(testData));
+        sb.append("\n\n");
+
+        sb.append("2. 报表需要包含以下内容：\n");
+        sb.append("   - 库存总览（物料总数、总库存量、平均库存等）\n");
+        sb.append("   - 物料分类统计\n");
+        sb.append("   - 库存量TOP10的物料\n");
+        sb.append("   - 图表展示（库存分布、趋势等）\n");
+        sb.append("   - 详细数据表格\n\n");
+
+        sb.append("【输出要求】\n");
+        sb.append("1. 生成一个完整的、独立的HTML页面\n");
+        sb.append("2. HTML内容以<html>开头，</html>结束\n");
+        sb.append("3. 页面包含CSS样式，确保美观\n");
+        sb.append("4. 使用ECharts生成图表，但不要引用外部JS（父页面已引用）,在<script></script>内的第一行固定写如下代码：let echarts = window.parent.echarts\n");
+        sb.append("5. 不要包含任何额外的解释、文本或markdown代码块标记\n");
+        sb.append("6. 确保HTML可以直接在浏览器中运行\n");
+
+        sb.append("\n【数据说明】\n");
+//        sb.append("这是WMS库存数据，包含物料编码、物料名称、库存数量、单位、仓库位置等信息。\n");
+
+        sb.append("\n【示例格式】\n");
+        sb.append("""
+            <html>
+            <head>
+                <style>
+                    /* CSS样式 */
+                    body { font-family: Arial, sans-serif; margin: 20px; }
+                </style>
+            </head>
+            <body>
+                <h1>库存分析报表</h1>
+                <div id="chart1" class="chart-container"></div>
+                <div id="chart2" class="chart-container"></div>
+                <h2>详细数据</h2>
+                <table>...</table>
+                <script>
+                    // ECharts初始化代码
+                    let echarts = window.parent.echarts;
+                    var chart1 = echarts.init(document.getElementById('chart1'));
+                    chart1.setOption({...});
+                </script>
+            </body>
+            </html>
+            """);
+
+
+        String prompt = "以下是库存数据列表：" + testData.toString() + ",请返回一段完整的HTML字符串分析物料库存，返回图表和列表，html内容以<html>开头，</html>结束";
+
+
+        final String messageTopic = messages.get(messages.size() - 1).getContent();
+        finalAiRequest.setMessageTopic(messageTopic);//暂时跟提问的内容相同，后续可以总结
+        finalAiRequest.setQuestionContent(prompt);
+        AIMessage aiMessage = new AIMessage();
+        aiMessage.setRole("user");
+        aiMessage.setContent(sb.toString());
+        finalAiRequest.setMessages(Collections.singletonList(aiMessage));
+
+        // 尝试获取处理器，如果找不到则抛出异常
+        return Flux.defer(() -> {
+            try {
+                AIRequest processedRequest = finalAiRequest;
+
+                IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory.getProcessor(provider);
+
+                return processor.chatStream(processedRequest, loginUser)
+                    .onErrorResume(throwable -> {
+                        return Flux.just(createErrorEvent(throwable));
+                    });
+
+            } catch (Exception e) {
+                return Flux.just(createErrorEvent(e));
+            }
+        });
+    }
+
+
+    @Override
+    public AIReportResponse generateTestReport(AIReportRequest request) {
+        String sql1 = "select * from wms_inventory";
+
+        List<Map<String, Object>> testData = databaseMetaMapper.dynamicSelectSql(sql1);
+        String prompt = "以下是库存数据列表：" + testData.toString() + ",请返回一段完整的HTML字符串分析物料库存，可以直接加载到VUE3文件中显示echarts柱状图图表。";
+
+        AIRequest aiRequest = new AIRequest();
+        aiRequest.setPlatformId(1L);
+        aiRequest.setModelId(1L);
+        IUnifiedAIProviderProcessor processor = aiProviderProcessorFactory.getProcessorByPlatformId(aiRequest.getPlatformId());
+        AIMessage aiMessage = new AIMessage();
+        aiMessage.setRole("user");
+        aiMessage.setContent(prompt);
+        aiRequest.setMessages(Collections.singletonList(aiMessage));
+
+        AIReportResponse response = new AIReportResponse();
+
+        String contentt = "<!DOCTYPE html>\n" +
+            "<html lang=\"zh-CN\">\n" +
+            "<head>\n" +
+            "    <meta charset=\"UTF-8\">\n" +
+            "    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n" +
+            "    <title>物料库存分析系统</title>\n" +
+//            "    <script src=\"https://cdn.jsdelivr.net/npm/echarts@5.4.3/dist/echarts.min.js\"></script>\n" +
+            "    <style>\n" +
+            "        * {\n" +
+            "            margin: 0;\n" +
+            "            padding: 0;\n" +
+            "            box-sizing: border-box;\n" +
+            "        }\n" +
+            "        \n" +
+            "        body {\n" +
+            "            font-family: 'PingFang SC', 'Microsoft YaHei', sans-serif;\n" +
+            "            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n" +
+            "            min-height: 100vh;\n" +
+            "            padding: 20px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .container {\n" +
+            "            max-width: 1400px;\n" +
+            "            margin: 0 auto;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .header {\n" +
+            "            background: white;\n" +
+            "            border-radius: 15px;\n" +
+            "            padding: 25px 30px;\n" +
+            "            margin-bottom: 25px;\n" +
+            "            box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);\n" +
+            "            border-left: 6px solid #667eea;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .header h1 {\n" +
+            "            color: #333;\n" +
+            "            font-size: 28px;\n" +
+            "            margin-bottom: 8px;\n" +
+            "            display: flex;\n" +
+            "            align-items: center;\n" +
+            "            gap: 12px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .header h1:before {\n" +
+            "            content: \"\uD83D\uDCE6\";\n" +
+            "            font-size: 32px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .header .subtitle {\n" +
+            "            color: #666;\n" +
+            "            font-size: 16px;\n" +
+            "            margin-bottom: 15px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stats-grid {\n" +
+            "            display: grid;\n" +
+            "            grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));\n" +
+            "            gap: 20px;\n" +
+            "            margin-bottom: 25px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stat-card {\n" +
+            "            background: white;\n" +
+            "            border-radius: 12px;\n" +
+            "            padding: 25px;\n" +
+            "            box-shadow: 0 5px 15px rgba(0, 0, 0, 0.08);\n" +
+            "            transition: transform 0.3s ease;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stat-card:hover {\n" +
+            "            transform: translateY(-5px);\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stat-icon {\n" +
+            "            font-size: 28px;\n" +
+            "            margin-bottom: 15px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stat-value {\n" +
+            "            font-size: 32px;\n" +
+            "            font-weight: bold;\n" +
+            "            color: #333;\n" +
+            "            margin-bottom: 5px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .stat-label {\n" +
+            "            color: #666;\n" +
+            "            font-size: 14px;\n" +
+            "            text-transform: uppercase;\n" +
+            "            letter-spacing: 1px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .charts-container {\n" +
+            "            display: grid;\n" +
+            "            grid-template-columns: 2fr 1fr;\n" +
+            "            gap: 25px;\n" +
+            "            margin-bottom: 25px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .chart-box {\n" +
+            "            background: white;\n" +
+            "            border-radius: 15px;\n" +
+            "            padding: 25px;\n" +
+            "            box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);\n" +
+            "        }\n" +
+            "        \n" +
+            "        .chart-title {\n" +
+            "            color: #333;\n" +
+            "            font-size: 18px;\n" +
+            "            font-weight: 600;\n" +
+            "            margin-bottom: 20px;\n" +
+            "            padding-bottom: 15px;\n" +
+            "            border-bottom: 2px solid #f0f0f0;\n" +
+            "            display: flex;\n" +
+            "            align-items: center;\n" +
+            "            gap: 10px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .chart-title:before {\n" +
+            "            font-size: 20px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        #mainChart, #pieChart {\n" +
+            "            width: 100%;\n" +
+            "            height: 400px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .data-table-container {\n" +
+            "            background: white;\n" +
+            "            border-radius: 15px;\n" +
+            "            padding: 25px;\n" +
+            "            box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);\n" +
+            "        }\n" +
+            "        \n" +
+            "        .table-wrapper {\n" +
+            "            overflow-x: auto;\n" +
+            "            border-radius: 10px;\n" +
+            "            border: 1px solid #eaeaea;\n" +
+            "        }\n" +
+            "        \n" +
+            "        table {\n" +
+            "            width: 100%;\n" +
+            "            border-collapse: collapse;\n" +
+            "            min-width: 800px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        thead {\n" +
+            "            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n" +
+            "        }\n" +
+            "        \n" +
+            "        th {\n" +
+            "            padding: 18px 15px;\n" +
+            "            text-align: left;\n" +
+            "            color: white;\n" +
+            "            font-weight: 600;\n" +
+            "            font-size: 14px;\n" +
+            "            text-transform: uppercase;\n" +
+            "            letter-spacing: 1px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        tbody tr {\n" +
+            "            border-bottom: 1px solid #f0f0f0;\n" +
+            "            transition: background-color 0.2s;\n" +
+            "        }\n" +
+            "        \n" +
+            "        tbody tr:hover {\n" +
+            "            background-color: #f8f9ff;\n" +
+            "        }\n" +
+            "        \n" +
+            "        td {\n" +
+            "            padding: 16px 15px;\n" +
+            "            color: #555;\n" +
+            "            font-size: 14px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .material-code {\n" +
+            "            font-weight: 600;\n" +
+            "            color: #667eea;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .qty-cell {\n" +
+            "            font-weight: 600;\n" +
+            "            color: #333;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .batch-badge {\n" +
+            "            display: inline-block;\n" +
+            "            padding: 4px 12px;\n" +
+            "            background: #eef2ff;\n" +
+            "            color: #667eea;\n" +
+            "            border-radius: 20px;\n" +
+            "            font-size: 12px;\n" +
+            "            font-weight: 600;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .location-badge {\n" +
+            "            display: inline-block;\n" +
+            "            padding: 4px 10px;\n" +
+            "            margin: 2px;\n" +
+            "            background: #f0f0f0;\n" +
+            "            color: #666;\n" +
+            "            border-radius: 6px;\n" +
+            "            font-size: 12px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .status-active {\n" +
+            "            display: inline-block;\n" +
+            "            width: 10px;\n" +
+            "            height: 10px;\n" +
+            "            background: #10b981;\n" +
+            "            border-radius: 50%;\n" +
+            "            margin-right: 6px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .search-filter {\n" +
+            "            margin-bottom: 20px;\n" +
+            "            display: flex;\n" +
+            "            gap: 15px;\n" +
+            "            flex-wrap: wrap;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .search-box {\n" +
+            "            flex: 1;\n" +
+            "            min-width: 300px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .search-box input {\n" +
+            "            width: 100%;\n" +
+            "            padding: 12px 20px;\n" +
+            "            border: 2px solid #eaeaea;\n" +
+            "            border-radius: 8px;\n" +
+            "            font-size: 14px;\n" +
+            "            transition: border-color 0.3s;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .search-box input:focus {\n" +
+            "            outline: none;\n" +
+            "            border-color: #667eea;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .filter-btn {\n" +
+            "            padding: 12px 24px;\n" +
+            "            background: #667eea;\n" +
+            "            color: white;\n" +
+            "            border: none;\n" +
+            "            border-radius: 8px;\n" +
+            "            cursor: pointer;\n" +
+            "            font-size: 14px;\n" +
+            "            font-weight: 600;\n" +
+            "            transition: background-color 0.3s;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .filter-btn:hover {\n" +
+            "            background: #5a67d8;\n" +
+            "        }\n" +
+            "        \n" +
+            "        .footer {\n" +
+            "            text-align: center;\n" +
+            "            color: white;\n" +
+            "            margin-top: 30px;\n" +
+            "            padding: 20px;\n" +
+            "            opacity: 0.9;\n" +
+            "            font-size: 14px;\n" +
+            "        }\n" +
+            "        \n" +
+            "        @media (max-width: 1024px) {\n" +
+            "            .charts-container {\n" +
+            "                grid-template-columns: 1fr;\n" +
+            "            }\n" +
+            "        }\n" +
+            "        \n" +
+            "        @media (max-width: 768px) {\n" +
+            "            body {\n" +
+            "                padding: 10px;\n" +
+            "            }\n" +
+            "            \n" +
+            "            .header {\n" +
+            "                padding: 20px;\n" +
+            "            }\n" +
+            "            \n" +
+            "            .stats-grid {\n" +
+            "                grid-template-columns: 1fr;\n" +
+            "            }\n" +
+            "            \n" +
+            "            .chart-box {\n" +
+            "                padding: 20px;\n" +
+            "            }\n" +
+            "            \n" +
+            "            #mainChart, #pieChart {\n" +
+            "                height: 300px;\n" +
+            "            }\n" +
+            "        }\n" +
+            "        \n" +
+            "        .loading {\n" +
+            "            display: flex;\n" +
+            "            justify-content: center;\n" +
+            "            align-items: center;\n" +
+            "            height: 400px;\n" +
+            "            font-size: 16px;\n" +
+            "            color: #666;\n" +
+            "        }\n" +
+            "    </style>\n" +
+            "</head>\n" +
+            "<body>\n" +
+            "    <div class=\"container\">\n" +
+            "        <div class=\"header\">\n" +
+            "            <h1>物料库存分析系统</h1>\n" +
+            "            <div class=\"subtitle\">实时库存监控与数据分析</div>\n" +
+            "            <div class=\"search-filter\">\n" +
+            "                <div class=\"search-box\">\n" +
+            "                    <input type=\"text\" id=\"searchInput\" placeholder=\"搜索物料编码、批次号或库位...\">\n" +
+            "                </div>\n" +
+            "                <button class=\"filter-btn\" onclick=\"filterTable()\">筛选数据</button>\n" +
+            "            </div>\n" +
+            "        </div>\n" +
+            "        \n" +
+            "        <div class=\"stats-grid\">\n" +
+            "            <div class=\"stat-card\">\n" +
+            "                <div class=\"stat-icon\">\uD83D\uDCCA</div>\n" +
+            "                <div class=\"stat-value\" id=\"totalQty\">0</div>\n" +
+            "                <div class=\"stat-label\">总库存数量</div>\n" +
+            "            </div>\n" +
+            "            <div class=\"stat-card\">\n" +
+            "                <div class=\"stat-icon\">\uD83D\uDCE6</div>\n" +
+            "                <div class=\"stat-value\" id=\"materialCount\">0</div>\n" +
+            "                <div class=\"stat-label\">物料种类</div>\n" +
+            "            </div>\n" +
+            "            <div class=\"stat-card\">\n" +
+            "                <div class=\"stat-icon\">\uD83C\uDFF7\uFE0F</div>\n" +
+            "                <div class=\"stat-value\" id=\"batchCount\">0</div>\n" +
+            "                <div class=\"stat-label\">批次总数</div>\n" +
+            "            </div>\n" +
+            "            <div class=\"stat-card\">\n" +
+            "                <div class=\"stat-icon\">\uD83D\uDCCD</div>\n" +
+            "                <div class=\"stat-value\" id=\"locationCount\">0</div>\n" +
+            "                <div class=\"stat-label\">库位数量</div>\n" +
+            "            </div>\n" +
+            "        </div>\n" +
+            "        \n" +
+            "        <div class=\"charts-container\">\n" +
+            "            <div class=\"chart-box\">\n" +
+            "                <div class=\"chart-title\">\uD83D\uDCC8 物料库存量柱状图</div>\n" +
+            "                <div id=\"mainChart\"></div>\n" +
+            "            </div>\n" +
+            "            <div class=\"chart-box\">\n" +
+            "                <div class=\"chart-title\">\uD83E\uDD67 库存分布饼图</div>\n" +
+            "                <div id=\"pieChart\"></div>\n" +
+            "            </div>\n" +
+            "        </div>\n" +
+            "        \n" +
+            "        <div class=\"data-table-container\">\n" +
+            "            <div class=\"chart-title\">\uD83D\uDCCB 库存明细数据表</div>\n" +
+            "            <div class=\"table-wrapper\">\n" +
+            "                <table id=\"dataTable\">\n" +
+            "                    <thead>\n" +
+            "                        <tr>\n" +
+            "                            <th>物料编码</th>\n" +
+            "                            <th>物料ID</th>\n" +
+            "                            <th>库存数量</th>\n" +
+            "                            <th>批次号</th>\n" +
+            "                            <th>库位</th>\n" +
+            "                            <th>创建时间</th>\n" +
+            "                            <th>状态</th>\n" +
+            "                        </tr>\n" +
+            "                    </thead>\n" +
+            "                    <tbody id=\"tableBody\">\n" +
+            "                        <!-- 数据将通过JavaScript填充 -->\n" +
+            "                    </tbody>\n" +
+            "                </table>\n" +
+            "            </div>\n" +
+            "        </div>\n" +
+            "        \n" +
+            "        <div class=\"footer\">\n" +
+            "            <p>数据更新时间: 2025-09-19 | 仓库ID: 4 | 租户: 000000 | 共7条库存记录</p>\n" +
+            "        </div>\n" +
+            "    </div>\n" +
+            "\n" +
+            "    <script>\n" +
+            "        // 库存数据\n" +
+            "   let echarts = window.parent.echarts \n" +
+            "        const inventoryData = [\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                store_id: 4,\n" +
+            "                update_time: '2025-09-04 17:31:11.127',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-03 14:07:39.46',\n" +
+            "                location_code: 'BB-1-1-3',\n" +
+            "                inventory_id: 1012,\n" +
+            "                material_id: '1963059950158618626',\n" +
+            "                inventory_qty: 5.000000,\n" +
+            "                batch_code: 'test123',\n" +
+            "                inventory_status: 1,\n" +
+            "                material_code: 'WMS-001'\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                store_id: 4,\n" +
+            "                update_time: '2025-09-04 10:11:40.25',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-04 10:11:40.25',\n" +
+            "                location_code: 'BB-1-1-1',\n" +
+            "                inventory_id: 1013,\n" +
+            "                material_id: '1963060299619639297',\n" +
+            "                inventory_qty: 5.000000,\n" +
+            "                batch_code: 'IN20250903001WMS-002001002',\n" +
+            "                inventory_status: 1,\n" +
+            "                material_code: 'WMS-002'\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                store_id: 4,\n" +
+            "                update_time: '2025-09-05 17:50:02.023',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-04 10:13:14.19',\n" +
+            "                location_code: 'DJ-01',\n" +
+            "                inventory_id: 1014,\n" +
+            "                material_id: '1963139831919812610',\n" +
+            "                inventory_qty: 7.000000,\n" +
+            "                batch_code: 'IN20250903001WMS-003001',\n" +
+            "                inventory_status: 1,\n" +
+            "                material_code: 'WMS-003'\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-15 16:30:00.0',\n" +
+            "                inventory_id: 2015,\n" +
+            "                inventory_qty: 15.000000,\n" +
+            "                batch_code: 'IN20250915001WMS-001001',\n" +
+            "                inventory_status: 1,\n" +
+            "                create_by: 'admin',\n" +
+            "                update_time: '2025-09-15 16:30:00.0',\n" +
+            "                location_code: 'BB-1-1-1',\n" +
+            "                material_id: '1963059950158618626',\n" +
+            "                update_by: 'admin',\n" +
+            "                material_code: 'WMS-001',\n" +
+            "                warehouse_id: 4\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-16 18:45:00.0',\n" +
+            "                inventory_id: 2016,\n" +
+            "                inventory_qty: 120.000000,\n" +
+            "                batch_code: 'IN20250916001WMS-002001',\n" +
+            "                inventory_status: 1,\n" +
+            "                create_by: 'admin',\n" +
+            "                update_time: '2025-09-16 18:45:00.0',\n" +
+            "                location_code: 'BB-1-1-1',\n" +
+            "                material_id: '1963060299619639297',\n" +
+            "                update_by: 'admin',\n" +
+            "                material_code: 'WMS-002',\n" +
+            "                warehouse_id: 4\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-17 18:10:00.0',\n" +
+            "                inventory_id: 2017,\n" +
+            "                inventory_qty: 10.000000,\n" +
+            "                batch_code: 'IN20250917001WMS-003001',\n" +
+            "                inventory_status: 1,\n" +
+            "                create_by: 'admin',\n" +
+            "                update_time: '2025-09-17 18:10:00.0',\n" +
+            "                location_code: 'BB-1-1-3',\n" +
+            "                material_id: '1963139831919812610',\n" +
+            "                update_by: 'admin',\n" +
+            "                material_code: 'WMS-003',\n" +
+            "                warehouse_id: 4\n" +
+            "            },\n" +
+            "            {\n" +
+            "                tenant_id: '000000',\n" +
+            "                lock_state: 0,\n" +
+            "                create_time: '2025-09-19 16:00:00.0',\n" +
+            "                inventory_id: 2018,\n" +
+            "                inventory_qty: 30.000000,\n" +
+            "                batch_code: 'IN20250915002M10053001',\n" +
+            "                inventory_status: 1,\n" +
+            "                create_by: 'admin',\n" +
+            "                update_time: '2025-09-19 16:00:00.0',\n" +
+            "                location_code: 'BB-1-1-1',\n" +
+            "                material_id: '10053',\n" +
+            "                update_by: 'admin',\n" +
+            "                warehouse_id: 4\n" +
+            "            }\n" +
+            "        ];\n" +
+            "\n" +
+            "        // 初始化\n" +
+            "        document.addEventListener('DOMContentLoaded', function() {\n" +
+            "            initializeDashboard();\n" +
+            "        });\n" +
+            "\n" +
+            "        // 初始化仪表板\n" +
+            "        function initializeDashboard() {\n" +
+            "            // 计算汇总数据\n" +
+            "            const summary = calculateSummary();\n" +
+            "            \n" +
+            "            // 更新统计卡片\n" +
+            "            updateStats(summary);\n" +
+            "            \n" +
+            "            // 初始化图表\n" +
+            "            initBarChart(summary.materialSummary);\n" +
+            "            initPieChart(summary.materialSummary);\n" +
+            "            \n" +
+            "            // 填充表格\n" +
+            "            populateTable();\n" +
+            "            \n" +
+            "            // 添加搜索功能\n" +
+            "            setupSearch();\n" +
+            "        }\n" +
+            "\n" +
+            "        // 计算汇总数据\n" +
+            "        function calculateSummary() {\n" +
+            "            const materialMap = new Map();\n" +
+            "            const locationSet = new Set();\n" +
+            "            let totalQty = 0;\n" +
+            "            \n" +
+            "            inventoryData.forEach(item => {\n" +
+            "                // 处理物料编码\n" +
+            "                const materialCode = item.material_code || `M${item.material_id}`;\n" +
+            "                const materialId = item.material_id;\n" +
+            "                \n" +
+            "                // 更新物料汇总\n" +
+            "                if (!materialMap.has(materialCode)) {\n" +
+            "                    materialMap.set(materialCode, {\n" +
+            "                        materialCode: materialCode,\n" +
+            "                        materialId: materialId,\n" +
+            "                        totalQty: 0,\n" +
+            "                        batchCount: 0,\n" +
+            "                        locations: new Set()\n" +
+            "                    });\n" +
+            "                }\n" +
+            "                \n" +
+            "                const material = materialMap.get(materialCode);\n" +
+            "                material.totalQty += item.inventory_qty;\n" +
+            "                material.batchCount += 1;\n" +
+            "                if (item.location_code) {\n" +
+            "                    material.locations.add(item.location_code);\n" +
+            "                    locationSet.add(item.location_code);\n" +
+            "                }\n" +
+            "                \n" +
+            "                // 累计总库存\n" +
+            "                totalQty += item.inventory_qty;\n" +
+            "            });\n" +
+            "            \n" +
+            "            // 转换为数组并按库存量排序\n" +
+            "            const materialSummary = Array.from(materialMap.values())\n" +
+            "                .map(item => ({\n" +
+            "                    ...item,\n" +
+            "                    locations: Array.from(item.locations)\n" +
+            "                }))\n" +
+            "                .sort((a, b) => b.totalQty - a.totalQty);\n" +
+            "            \n" +
+            "            return {\n" +
+            "                materialSummary,\n" +
+            "                totalQty,\n" +
+            "                materialCount: materialSummary.length,\n" +
+            "                batchCount: inventoryData.length,\n" +
+            "                locationCount: locationSet.size\n" +
+            "            };\n" +
+            "        }\n" +
+            "\n" +
+            "        // 更新统计卡片\n" +
+            "        function updateStats(summary) {\n" +
+            "            document.getElementById('totalQty').textContent = summary.totalQty.toFixed(2);\n" +
+            "            document.getElementById('materialCount').textContent = summary.materialCount;\n" +
+            "            document.getElementById('batchCount').textContent = summary.batchCount;\n" +
+            "            document.getElementById('locationCount').textContent = summary.locationCount;\n" +
+            "        }\n" +
+            "\n" +
+            "        // 初始化柱状图\n" +
+            "        function initBarChart(materialSummary) {\n" +
+            "            const chartDom = document.getElementById('mainChart');\n" +
+            "            const myChart = echarts.init(chartDom);\n" +
+            "            \n" +
+            "            const xData = materialSummary.map(item => item.materialCode);\n" +
+            "            const yData = materialSummary.map(item => item.totalQty);\n" +
+            "            \n" +
+            "            const option = {\n" +
+            "                tooltip: {\n" +
+            "                    trigger: 'axis',\n" +
+            "                    axisPointer: {\n" +
+            "                        type: 'shadow'\n" +
+            "                    },\n" +
+            "                    formatter: function(params) {\n" +
+            "                        const data = params[0];\n" +
+            "                        const item = materialSummary.find(m => m.materialCode === data.name);\n" +
+            "                        return `\n" +
+            "                            <div style=\"font-weight:bold;color:#333;\">${data.name}</div>\n" +
+            "                            <div style=\"margin:5px 0;\">物料ID: ${item.materialId}</div>\n" +
+            "                            <div style=\"color:#10b981;\">库存总量: ${data.value.toFixed(2)}</div>\n" +
+            "                            <div>批次数量: ${item.batchCount}批</div>\n" +
+            "                            <div>库位: ${item.locations.join(', ')}</div>\n" +
+            "                        `;\n" +
+            "                    }\n" +
+            "                },\n" +
+            "                grid: {\n" +
+            "                    left: '3%',\n" +
+            "                    right: '4%',\n" +
+            "                    bottom: '10%',\n" +
+            "                    top: '10%',\n" +
+            "                    containLabel: true\n" +
+            "                },\n" +
+            "                xAxis: {\n" +
+            "                    type: 'category',\n" +
+            "                    data: xData,\n" +
+            "                    axisLabel: {\n" +
+            "                        color: '#666',\n" +
+            "                        fontSize: 14\n" +
+            "                    },\n" +
+            "                    axisLine: {\n" +
+            "                        lineStyle: {\n" +
+            "                            color: '#eaeaea'\n" +
+            "                        }\n" +
+            "                    }\n" +
+            "                },\n" +
+            "                yAxis: {\n" +
+            "                    type: 'value',\n" +
+            "                    name: '库存数量',\n" +
+            "                    nameTextStyle: {\n" +
+            "                        fontSize: 14,\n" +
+            "                        color: '#666'\n" +
+            "                    },\n" +
+            "                    axisLabel: {\n" +
+            "                        color: '#666'\n" +
+            "                    },\n" +
+            "                    splitLine: {\n" +
+            "                        lineStyle: {\n" +
+            "                            color: '#f0f0f0'\n" +
+            "                        }\n" +
+            "                    }\n" +
+            "                },\n" +
+            "                series: [{\n" +
+            "                    name: '库存数量',\n" +
+            "                    type: 'bar',\n" +
+            "                    barWidth: '60%',\n" +
+            "                    data: yData.map((value, index) => ({\n" +
+            "                        value: value,\n" +
+            "                        itemStyle: {\n" +
+            "                            color: getBarColor(index)\n" +
+            "                        }\n" +
+            "                    })),\n" +
+            "                    label: {\n" +
+            "                        show: true,\n" +
+            "                        position: 'top',\n" +
+            "                        formatter: '{c}',\n" +
+            "                        fontSize: 12,\n" +
+            "                        fontWeight: 'bold',\n" +
+            "                        color: '#333'\n" +
+            "                    }\n" +
+            "                }]\n" +
+            "            };\n" +
+            "            \n" +
+            "            myChart.setOption(option);\n" +
+            "            \n" +
+            "            // 响应窗口大小变化\n" +
+            "            window.addEventListener('resize', function() {\n" +
+            "                myChart.resize();\n" +
+            "            });\n" +
+            "        }\n" +
+            "\n" +
+            "        // 初始化饼图\n" +
+            "        function initPieChart(materialSummary) {\n" +
+            "            const chartDom = document.getElementById('pieChart');\n" +
+            "            const myChart = echarts.init(chartDom);\n" +
+            "            \n" +
+            "            const data = materialSummary.map((item, index) => ({\n" +
+            "                name: item.materialCode,\n" +
+            "                value: item.totalQty,\n" +
+            "                itemStyle: {\n" +
+            "                    color: getBarColor(index)\n" +
+            "                }\n" +
+            "            }));\n" +
+            "            \n" +
+            "            const option = {\n" +
+            "                tooltip: {\n" +
+            "                    trigger: 'item',\n" +
+            "                    formatter: function(params) {\n" +
+            "                        const item = materialSummary.find(m => m.materialCode === params.name);\n" +
+            "                        const percent = ((params.value / materialSummary.reduce((sum, m) => sum + m.totalQty, 0)) * 100).toFixed(1);\n" +
+            "                        return `\n" +
+            "                            <div style=\"font-weight:bold;\">${params.name}</div>\n" +
+            "                            <div>库存: ${params.value.toFixed(2)}</div>\n" +
+            "                            <div>占比: ${percent}%</div>\n" +
+            "                            <div>批次: ${item.batchCount}批</div>\n" +
+            "                        `;\n" +
+            "                    }\n" +
+            "                },\n" +
+            "                legend: {\n" +
+            "                    orient: 'vertical',\n" +
+            "                    right: 10,\n" +
+            "                    top: 'center',\n" +
+            "                    textStyle: {\n" +
+            "                        fontSize: 12\n" +
+            "                    }\n" +
+            "                },\n" +
+            "                series: [{\n" +
+            "                    name: '库存分布',\n" +
+            "                    type: 'pie',\n" +
+            "                    radius: ['40%', '70%'],\n" +
+            "                    center: ['40%', '50%'],\n" +
+            "                    data: data,\n" +
+            "                    emphasis: {\n" +
+            "                        itemStyle: {\n" +
+            "                            shadowBlur: 10,\n" +
+            "                            shadowOffsetX: 0,\n" +
+            "                            shadowColor: 'rgba(0, 0, 0, 0.5)'\n" +
+            "                        }\n" +
+            "                    },\n" +
+            "                    label: {\n" +
+            "                        formatter: '{b}: {d}%'\n" +
+            "                    }\n" +
+            "                }]\n" +
+            "            };\n" +
+            "            \n" +
+            "            myChart.setOption(option);\n" +
+            "            \n" +
+            "            window.addEventListener('resize', function() {\n" +
+            "                myChart.resize();\n" +
+            "            });\n" +
+            "        }\n" +
+            "\n" +
+            "        // 填充表格\n" +
+            "        function populateTable() {\n" +
+            "            const tableBody = document.getElementById('tableBody');\n" +
+            "            tableBody.innerHTML = '';\n" +
+            "            \n" +
+            "            inventoryData.forEach(item => {\n" +
+            "                const row = document.createElement('tr');\n" +
+            "                const materialCode = item.material_code || `M${item.material_id}`;\n" +
+            "                const createTime = formatDate(item.create_time);\n" +
+            "                \n" +
+            "                row.innerHTML = `\n" +
+            "                    <td class=\"material-code\">${materialCode}</td>\n" +
+            "                    <td>${item.material_id}</td>\n" +
+            "                    <td class=\"qty-cell\">${item.inventory_qty.toFixed(2)}</td>\n" +
+            "                    <td><span class=\"batch-badge\">${item.batch_code}</span></td>\n" +
+            "                    <td><span class=\"location-badge\">${item.location_code}</span></td>\n" +
+            "                    <td>${createTime}</td>\n" +
+            "                    <td><span class=\"status-active\"></span>正常</td>\n" +
+            "                `;\n" +
+            "                \n" +
+            "                tableBody.appendChild(row);\n" +
+            "            });\n" +
+            "        }\n" +
+            "\n" +
+            "        // 设置搜索功能\n" +
+            "        function setupSearch() {\n" +
+            "            const searchInput = document.getElementById('searchInput');\n" +
+            "            searchInput.addEventListener('input', filterTable);\n" +
+            "        }\n" +
+            "\n" +
+            "        // 筛选表格\n" +
+            "        function filterTable() {\n" +
+            "            const searchTerm = document.getElementById('searchInput').value.toLowerCase();\n" +
+            "            const rows = document.querySelectorAll('#tableBody tr');\n" +
+            "            \n" +
+            "            rows.forEach(row => {\n" +
+            "                const text = row.textContent.toLowerCase();\n" +
+            "                row.style.display = text.includes(searchTerm) ? '' : 'none';\n" +
+            "            });\n" +
+            "        }\n" +
+            "\n" +
+            "        // 辅助函数\n" +
+            "        function getBarColor(index) {\n" +
+            "            const colors = [\n" +
+            "                '#667eea', '#764ba2', '#f56565', '#ed8936',\n" +
+            "                '#ecc94b', '#48bb78', '#38b2ac', '#4299e1'\n" +
+            "            ];\n" +
+            "            return colors[index % colors.length];\n" +
+            "        }\n" +
+            "\n" +
+            "        function formatDate(dateStr) {\n" +
+            "            const date = new Date(dateStr);\n" +
+            "            return date.toLocaleDateString('zh-CN') + ' ' + date.toLocaleTimeString('zh-CN', {\n" +
+            "                hour: '2-digit',\n" +
+            "                minute: '2-digit'\n" +
+            "            });\n" +
+            "        }\n" +
+            "    </script>\n" +
+            "</body>\n" +
+            "</html>";
+
+        response.setChartHtml(contentt);
+//        try {
+//            Mono<AIResponse> response1 = processor.chat(aiRequest);
+//            if (Objects.requireNonNull(response1.block()).isSuccess()) {
+//                String content = response1.block().getContent().toString();
+//                System.out.println("----------:"+content);
+//
+//                content = extractHtmlContent(content);
+//
+//                System.out.println("--:" + content);
+//                response.setChartHtml(content);
+//            } else {
+//                throw new RuntimeException("生成sql语句失败" + response1.block().getErrorMessage());
+//            }
+//
+//        }catch (Exception e){
+//            e.printStackTrace();
+//        }
+
+
+        System.out.println(testData.toString());
+
+        long startTime = System.currentTimeMillis();
+
+        // 1. 模拟AI生成SQL
+        String sql = generateSQL(request.getPrompt());
+
+        // 2. 执行SQL查询数据（模拟）
+        List<Map<String, Object>> data = executeSQLMock(sql);
+
+        // 3. 获取字段信息
+        List<AIReportResponse.FieldInfo> fields = getFieldInfo(data);
+
+        // 4. 模拟AI生成HTML
+        String chartHtml = generateChartHTML(request.getPrompt(), data, fields);
+        String tableHtml = generateTableHTML(request.getPrompt(), data, fields);
+
+        // 5. 生成分析建议
+        String analysis = generateAnalysis(request.getPrompt(), data);
+
+        long executionTime = System.currentTimeMillis() - startTime;
+
+
+        response.setSql(sql);
+        response.setData(data);
+        response.setFields(fields);
+
+        response.setTableHtml(tableHtml);
+        response.setAnalysis(analysis);
+        response.setExecutionTime(executionTime);
+
+        return response;
+    }
+
+    @Override
+    public String generateSQL(String prompt) {
+        String lowerPrompt = prompt.toLowerCase();
+
+        if (lowerPrompt.contains("top10") || lowerPrompt.contains("top 10")) {
+            if (lowerPrompt.contains("物料") && lowerPrompt.contains("库存")) {
+                return "SELECT material_name, stock_quantity, stock_value, supplier_name " +
+                    "FROM materials m " +
+                    "JOIN suppliers s ON m.supplier_id = s.supplier_id " +
+                    "ORDER BY stock_quantity DESC LIMIT 10";
+            } else if (lowerPrompt.contains("销售")) {
+                return "SELECT product_name, sales_quantity, sales_amount, region " +
+                    "FROM sales s " +
+                    "JOIN products p ON s.product_id = p.product_id " +
+                    "ORDER BY sales_quantity DESC LIMIT 10";
+            }
+        } else if (lowerPrompt.contains("月度") && lowerPrompt.contains("销售")) {
+            return "SELECT DATE_FORMAT(sale_date, '%Y-%m') as month, " +
+                "SUM(sales_amount) as total_amount, " +
+                "SUM(sales_quantity) as total_quantity " +
+                "FROM sales " +
+                "GROUP BY DATE_FORMAT(sale_date, '%Y-%m') " +
+                "ORDER BY month DESC LIMIT 12";
+        } else if (lowerPrompt.contains("库存") && lowerPrompt.contains("预警")) {
+            return "SELECT material_name, stock_quantity, min_stock_level, " +
+                "(stock_quantity - min_stock_level) as shortage " +
+                "FROM materials " +
+                "WHERE stock_quantity < min_stock_level " +
+                "ORDER BY shortage ASC";
+        }
+
+        // 默认返回物料库存SQL
+        return "SELECT material_name, stock_quantity, stock_value, supplier_name " +
+            "FROM materials m " +
+            "JOIN suppliers s ON m.supplier_id = s.supplier_id " +
+            "ORDER BY stock_quantity DESC LIMIT 10";
+    }
+
+    /**
+     * 模拟执行SQL查询数据
+     */
+    private List<Map<String, Object>> executeSQLMock(String sql) {
+        List<Map<String, Object>> data = new ArrayList<>();
+
+        if (sql.contains("materials") && sql.contains("stock_quantity")) {
+            // 模拟物料库存数据
+            String[] materials = {"钢铁", "铜材", "铝材", "塑料粒子", "橡胶", "玻璃", "木材", "纸张", "水泥", "化工原料"};
+            String[] suppliers = {"上海钢铁公司", "华北铜业", "南方铝业", "华东化工", "华北橡胶", "南方玻璃", "华东木材", "华北纸张", "南方水泥", "华东化工"};
+
+            for (int i = 0; i < 10; i++) {
+                Map<String, Object> row = new HashMap<>();
+                row.put("material_name", materials[i]);
+                row.put("stock_quantity", RANDOM.nextInt(10000) + 1000);
+                row.put("stock_value", RANDOM.nextInt(1000000) + 50000);
+                row.put("supplier_name", suppliers[i]);
+                data.add(row);
+            }
+        } else if (sql.contains("sales")) {
+            // 模拟销售数据
+            String[] products = {"产品A", "产品B", "产品C", "产品D", "产品E", "产品F", "产品G", "产品H", "产品I", "产品J"};
+            String[] regions = {"华北", "华东", "华南", "西南", "东北"};
+
+            for (int i = 0; i < 10; i++) {
+                Map<String, Object> row = new HashMap<>();
+                row.put("product_name", products[i]);
+                row.put("sales_quantity", RANDOM.nextInt(1000) + 100);
+                row.put("sales_amount", RANDOM.nextInt(100000) + 10000);
+                row.put("region", regions[RANDOM.nextInt(regions.length)]);
+                data.add(row);
+            }
+        } else if (sql.contains("month")) {
+            // 模拟月度数据
+            for (int i = 11; i >= 0; i--) {
+                Map<String, Object> row = new HashMap<>();
+                String month = String.format("2024-%02d", i + 1);
+                row.put("month", month);
+                row.put("total_amount", RANDOM.nextInt(500000) + 100000);
+                row.put("total_quantity", RANDOM.nextInt(10000) + 1000);
+                data.add(row);
+            }
+        }
+
+        return data;
+    }
+
+    /**
+     * 获取字段信息
+     */
+    private List<AIReportResponse.FieldInfo> getFieldInfo(List<Map<String, Object>> data) {
+        if (data.isEmpty()) return new ArrayList<>();
+
+        List<AIReportResponse.FieldInfo> fields = new ArrayList<>();
+        Map<String, Object> firstRow = data.get(0);
+
+        for (String key : firstRow.keySet()) {
+            AIReportResponse.FieldInfo field = new AIReportResponse.FieldInfo();
+            field.setName(key);
+
+            Object value = firstRow.get(key);
+            if (value instanceof Number) {
+                field.setType("numeric");
+                field.setNumeric(true);
+            } else {
+                field.setType("string");
+                field.setNumeric(false);
+            }
+
+            field.setComment(getFieldComment(key));
+            field.setPrimary(false);
+            fields.add(field);
+        }
+
+        return fields;
+    }
+
+    /**
+     * 生成字段注释
+     */
+    private String getFieldComment(String fieldName) {
+        Map<String, String> comments = new HashMap<>();
+        comments.put("material_name", "物料名称");
+        comments.put("stock_quantity", "库存数量");
+        comments.put("stock_value", "库存价值");
+        comments.put("supplier_name", "供应商名称");
+        comments.put("product_name", "产品名称");
+        comments.put("sales_quantity", "销售数量");
+        comments.put("sales_amount", "销售金额");
+        comments.put("region", "销售区域");
+        comments.put("month", "月份");
+        comments.put("total_amount", "总金额");
+        comments.put("total_quantity", "总数量");
+        comments.put("min_stock_level", "最低库存");
+        comments.put("shortage", "缺货数量");
+
+        return comments.getOrDefault(fieldName, fieldName);
+    }
+
+    /**
+     * 生成图表HTML
+     */
+    private String generateChartHTML(String prompt, List<Map<String, Object>> data, List<AIReportResponse.FieldInfo> fields) {
+        if (data.isEmpty()) return "";
+
+        StringBuilder html = new StringBuilder();
+        html.append("<div class=\"chart-container\" style=\"margin: 20px 0; padding: 20px; background: #f8f9fa; border-radius: 8px;\">");
+        html.append("<h3 style=\"text-align: center; margin-bottom: 20px; color: #333;\">数据可视化图表</h3>");
+        html.append("<div id=\"chartCanvas\" style=\"width: 100%; height: 400px; background: white; border-radius: 4px; display: flex; align-items: center; justify-content: center;\">");
+
+        // 根据数据类型选择图表类型
+        boolean isTop10 = prompt.toLowerCase().contains("top10") || prompt.toLowerCase().contains("top 10");
+        boolean hasAmount = hasField(fields, "sales_amount") || hasField(fields, "stock_value") || hasField(fields, "total_amount");
+
+        if (isTop10 && hasAmount) {
+            // 生成柱状图模拟HTML
+            html.append(generateBarChartHTML(data, fields));
+        } else if (hasField(fields, "month")) {
+            // 生成折线图模拟HTML
+            html.append(generateLineChartHTML(data, fields));
+        } else {
+            // 生成饼图模拟HTML
+            html.append(generatePieChartHTML(data, fields));
+        }
+
+        html.append("</div>");
+        html.append("<div style=\"text-align: center; margin-top: 10px;\">");
+        html.append("<button onclick=\"downloadChart()\" style=\"padding: 8px 16px; background: #007bff; color: white; border: none; border-radius: 4px; cursor: pointer;\">下载图片</button>");
+        html.append("</div>");
+        html.append("</div>");
+
+        return html.toString();
+    }
+
+    /**
+     * 生成表格HTML（支持复合表头）
+     */
+    private String generateTableHTML(String prompt, List<Map<String, Object>> data, List<AIReportResponse.FieldInfo> fields) {
+        if (data.isEmpty()) return "";
+
+        StringBuilder html = new StringBuilder();
+        html.append("<div class=\"table-container\" style=\"margin: 20px 0; padding: 20px; background: #f8f9fa; border-radius: 8px;\">");
+        html.append("<h3 style=\"text-align: center; margin-bottom: 20px; color: #333;\">详细数据列表</h3>");
+        html.append("<div style=\"overflow-x: auto;\">");
+        html.append("<table style=\"width: 100%; border-collapse: collapse; background: white; border-radius: 4px; overflow: hidden;\">");
+
+        // 表头
+        html.append("<thead style=\"background: #007bff; color: white;\">");
+        html.append("<tr>");
+
+        // 检查是否需要复合表头
+        boolean isComplexTable = prompt.toLowerCase().contains("复合") || prompt.toLowerCase().contains("复杂") ||
+            (hasField(fields, "sales_amount") && hasField(fields, "sales_quantity"));
+
+        if (isComplexTable) {
+            html.append(generateComplexTableHeader(fields));
+        } else {
+            for (AIReportResponse.FieldInfo field : fields) {
+                html.append("<th style=\"padding: 12px 8px; text-align: left; border-bottom: 1px solid #dee2e6;\">");
+                html.append(field.getComment());
+                html.append("</th>");
+            }
+        }
+
+        html.append("</tr>");
+        html.append("</thead>");
+
+        // 表身
+        html.append("<tbody>");
+        for (Map<String, Object> row : data) {
+            html.append("<tr style=\"border-bottom: 1px solid #dee2e6;\">");
+            for (AIReportResponse.FieldInfo field : fields) {
+                html.append("<td style=\"padding: 12px 8px; text-align: left;\">");
+                Object value = row.get(field.getName());
+                html.append(value != null ? value.toString() : "");
+                html.append("</td>");
+            }
+            html.append("</tr>");
+        }
+        html.append("</tbody>");
+
+        html.append("</table>");
+        html.append("</div>");
+        html.append("</div>");
+
+        return html.toString();
+    }
+
+    /**
+     * 生成复合表头
+     */
+    private String generateComplexTableHeader(List<AIReportResponse.FieldInfo> fields) {
+        StringBuilder html = new StringBuilder();
+
+        // 示例：销售数据复合表头
+        html.append("<th colspan=\"2\" style=\"padding: 12px 8px; text-align: center;\">物料信息</th>");
+        html.append("<th colspan=\"2\" style=\"padding: 12px 8px; text-align: center;\">库存信息</th>");
+        html.append("<th style=\"padding: 12px 8px; text-align: left;\">供应商</th>");
+
+        return html.toString();
+    }
+
+    /**
+     * 生成柱状图HTML模拟
+     */
+    private String generateBarChartHTML(List<Map<String, Object>> data, List<AIReportResponse.FieldInfo> fields) {
+        StringBuilder html = new StringBuilder();
+        html.append("<div style=\"display: flex; align-items: flex-end; justify-content: space-around; height: 300px; padding: 20px;\">");
+
+        for (int i = 0; i < Math.min(data.size(), 8); i++) {
+            Map<String, Object> row = data.get(i);
+            int value = getNumericValue(row, fields);
+            int height = Math.max(value / 1000, 10); // 最小高度10px
+
+            html.append("<div style=\"display: flex; flex-direction: column; align-items: center;\">");
+            html.append("<div style=\"width: 40px; height: ").append(height).append("px; background: linear-gradient(to top, #007bff, #0056b3); margin-bottom: 5px; border-radius: 4px 4px 0 0; position: relative;\">");
+            html.append("<span style=\"position: absolute; top: -25px; left: 50%; transform: translateX(-50%); font-size: 12px; color: #333; white-space: nowrap;\">").append(value).append("</span>");
+            html.append("</div>");
+            html.append("<span style=\"font-size: 10px; color: #666; text-align: center; transform: rotate(-45deg); width: 60px; margin-top: 5px;\">").append(getNameValue(row, fields)).append("</span>");
+            html.append("</div>");
+        }
+
+        html.append("</div>");
+        return html.toString();
+    }
+
+    /**
+     * 生成折线图HTML模拟
+     */
+    private String generateLineChartHTML(List<Map<String, Object>> data, List<AIReportResponse.FieldInfo> fields) {
+        StringBuilder html = new StringBuilder();
+        html.append("<div style=\"position: relative; height: 300px; padding: 20px;\">");
+        html.append("<svg width=\"100%\" height=\"100%\" style=\"border: 1px solid #ddd;\">");
+
+        int width = 600;
+        int height = 200;
+        int padding = 40;
+
+        // 绘制坐标轴
+        html.append("<line x1=\"").append(padding).append("\" y1=\"").append(height - padding).append("\" x2=\"").append(width - padding).append("\" y2=\"").append(height - padding).append("\" stroke=\"#333\" stroke-width=\"2\"/>");
+        html.append("<line x1=\"").append(padding).append("\" y1=\"").append(padding).append("\" x2=\"").append(padding).append("\" y2=\"").append(height - padding).append("\" stroke=\"#333\" stroke-width=\"2\"/>");
+
+        // 绘制折线
+        if (!data.isEmpty()) {
+            html.append("<polyline fill=\"none\" stroke=\"#007bff\" stroke-width=\"2\" points=\"");
+            int xStep = (width - 2 * padding) / Math.max(data.size() - 1, 1);
+
+            for (int i = 0; i < data.size(); i++) {
+                int x = padding + i * xStep;
+                int y = height - padding - (i * 20 % (height - 2 * padding)); // 模拟数据
+                html.append(x).append(",").append(y).append(" ");
+            }
+            html.append("\"/>");
+
+            // 绘制数据点
+            for (int i = 0; i < data.size(); i++) {
+                int x = padding + i * xStep;
+                int y = height - padding - (i * 20 % (height - 2 * padding));
+                html.append("<circle cx=\"").append(x).append("\" cy=\"").append(y).append("\" r=\"4\" fill=\"#007bff\"/>");
+            }
+        }
+
+        html.append("</svg>");
+        html.append("</div>");
+        return html.toString();
+    }
+
+    /**
+     * 生成饼图HTML模拟
+     */
+    private String generatePieChartHTML(List<Map<String, Object>> data, List<AIReportResponse.FieldInfo> fields) {
+        StringBuilder html = new StringBuilder();
+        html.append("<div style=\"display: flex; align-items: center; justify-content: center; height: 300px;\">");
+        html.append("<div style=\"width: 200px; height: 200px; border-radius: 50%; background: conic-gradient(");
+
+        String[] colors = {"#007bff", "#28a745", "#ffc107", "#dc3545", "#6f42c1", "#fd7e14", "#20c997", "#e83e8c"};
+        int total = data.size();
+
+        for (int i = 0; i < Math.min(data.size(), 8); i++) {
+            double percentage = 360.0 / total;
+            html.append(colors[i % colors.length]).append(" 0deg ").append(i * percentage).append("deg");
+            if (i < Math.min(data.size(), 8) - 1) {
+                html.append(", ");
+            }
+        }
+
+        html.append(");\"></div>");
+        html.append("</div>");
+        return html.toString();
+    }
+
+    /**
+     * 生成分析建议
+     */
+    private String generateAnalysis(String prompt, List<Map<String, Object>> data) {
+        if (data.isEmpty()) {
+            return "暂无数据可供分析。";
+        }
+
+        StringBuilder analysis = new StringBuilder();
+        analysis.append("📊 **数据分析报告**\n\n");
+
+        if (prompt.toLowerCase().contains("top10") && prompt.toLowerCase().contains("库存")) {
+            analysis.append("**库存分析：**\n");
+            analysis.append("- 库存数量排名前10的物料已列出\n");
+            analysis.append("- 建议重点关注库存价值较高的物料\n");
+            analysis.append("- 可考虑优化库存周转率较低的物料\n\n");
+        }
+
+        analysis.append("**关键指标：**\n");
+        analysis.append("- 数据记录数：").append(data.size()).append("条\n");
+        analysis.append("- 分析时间：").append(new Date().toLocaleString()).append("\n");
+        analysis.append("- 数据完整性：良好\n\n");
+
+        analysis.append("**建议操作：**\n");
+        analysis.append("- 可导出数据进一步分析\n");
+        analysis.append("- 支持多维度筛选查看\n");
+        analysis.append("- 建议定期更新数据保持分析时效性\n");
+
+        return analysis.toString();
+    }
+
+    /**
+     * 检查字段是否存在
+     */
+    private boolean hasField(List<AIReportResponse.FieldInfo> fields, String fieldName) {
+        return fields.stream().anyMatch(f -> f.getName().equals(fieldName));
+    }
+
+    /**
+     * 获取数值字段的值
+     */
+    private int getNumericValue(Map<String, Object> row, List<AIReportResponse.FieldInfo> fields) {
+        // 优先获取金额或数量字段
+        String[] numericFields = {"sales_amount", "stock_value", "total_amount", "stock_quantity", "sales_quantity"};
+
+        for (String field : numericFields) {
+            Object value = row.get(field);
+            if (value instanceof Number) {
+                return ((Number) value).intValue();
+            }
+        }
+
+        // 如果没有找到数值字段，返回随机值
+        return RANDOM.nextInt(1000) + 100;
+    }
+
+    /**
+     * 获取名称字段的值
+     */
+    private String getNameValue(Map<String, Object> row, List<AIReportResponse.FieldInfo> fields) {
+        String[] nameFields = {"material_name", "product_name", "supplier_name"};
+
+        for (String field : nameFields) {
+            Object value = row.get(field);
+            if (value != null) {
+                return value.toString();
+            }
+        }
+
+        return "未知";
+    }
+
+    /**
+     * 从字符串中提取完整的HTML文档内容
+     *
+     * @param input 输入字符串
+     * @return 提取的HTML内容，如果未找到则返回空字符串
+     */
+    public static String extractHtmlContent(String input) {
+        if (input == null || input.isEmpty()) {
+            return "";
+        }
+
+        // 正则表达式匹配以<!DOCTYPE html>开头，以</html>结束的内容
+        // Pattern.DOTALL 让 . 匹配包括换行符的所有字符
+        String regex = "<!DOCTYPE html>(?s).*?</html>";
+        Pattern pattern = Pattern.compile(regex, Pattern.CASE_INSENSITIVE);
+        Matcher matcher = pattern.matcher(input);
+
+        if (matcher.find()) {
+            return matcher.group(0);
+        }
+
+        return "";
+    }
+
+
+    /**
+     * 创建标准化的错误事件JSON字符串
+     */
+    private String createErrorEvent(Throwable throwable) {
+        Map<String, Object> errorEvent = new LinkedHashMap<>();
+        errorEvent.put("event", "error");
+        errorEvent.put("status", "error");
+        errorEvent.put("timestamp", System.currentTimeMillis());
+
+        // 提供详细的错误信息
+        errorEvent.put("message", throwable.getMessage());
+        errorEvent.put("errorType", throwable.getClass().getSimpleName());
+
+        // 开发环境下可以返回堆栈跟踪，生产环境应该关闭
+//        if (isDevelopmentEnvironment()) {
+//            StringWriter sw = new StringWriter();
+//            throwable.printStackTrace(new PrintWriter(sw));
+//            errorEvent.put("stackTrace", sw.toString());
+//        }
+
+        try {
+            return objectMapper.writeValueAsString(errorEvent);
+        } catch (JsonProcessingException e) {
+            // 如果JSON序列化失败，返回最简错误格式
+            return "{\"event\":\"error\",\"status\":\"error\",\"message\":\"系统内部错误\"}";
+        }
+    }
+
+}
diff --git a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AiChatMessageServiceImpl.java b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AiChatMessageServiceImpl.java
index 17c25f7d..9b08d7c2 100644
--- a/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AiChatMessageServiceImpl.java
+++ b/ruoyi-modules/hwmom-ai/src/main/java/org/dromara/ai/service/impl/AiChatMessageServiceImpl.java
@@ -5,6 +5,7 @@ import com.github.yulichang.interfaces.MPJBaseJoin;
 import org.dromara.ai.domain.AiChatMessageDetail;
 import org.dromara.ai.domain.bo.AiChatMessageTopicBo;
 import org.dromara.ai.mapper.AiChatMessageDetailMapper;
+import org.dromara.common.constant.HwMomAiConstants;
 import org.dromara.common.core.utils.MapstructUtils;
 import org.dromara.common.core.utils.StringUtils;
 import org.dromara.common.mybatis.core.page.TableDataInfo;
@@ -182,4 +183,18 @@ public class AiChatMessageServiceImpl implements IAiChatMessageService {
             .eq(AiChatMessage::getSessionId, sessionId)) > 0;
     }
 
+    /**
+     * 查询符合条件的聊天消息列表(不查询生成报表的数据)
+     *
+     * @param bo 查询条件
+     * @return 聊天消息列表
+     */
+    @Override
+    public List<AiChatMessageVo> queryQaList(AiChatMessageBo bo) {
+        MPJLambdaWrapper<AiChatMessage> lqw = buildQueryWrapper(bo);
+        lqw.ne(AiChatMessage::getMessageType, HwMomAiConstants.AI_CHAT_MESSAGE_DETAIL_TYPE_REPORT);
+
+        return baseMapper.selectVoList(lqw);
+    }
+
 }
diff --git a/ruoyi-modules/hwmom-ai/src/main/resources/mapper/ai/SQLServerDatabaseMetaMapper.xml b/ruoyi-modules/hwmom-ai/src/main/resources/mapper/ai/SQLServerDatabaseMetaMapper.xml
index d6d2e51b..ecf7fb6c 100644
--- a/ruoyi-modules/hwmom-ai/src/main/resources/mapper/ai/SQLServerDatabaseMetaMapper.xml
+++ b/ruoyi-modules/hwmom-ai/src/main/resources/mapper/ai/SQLServerDatabaseMetaMapper.xml
@@ -145,4 +145,9 @@ PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
     </select>
 
 
+
+    <select id="dynamicSelectSql" resultType="java.util.Map" statementType="STATEMENT">
+        ${sql}
+    </select>
+
 </mapper>