1.7.0后端

feat(AI):完成AI自动生成报表功能；
fix(AI)：完善AI问答。

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
 
 
 }

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>
+<!--        <dependency>-->
-            <groupId>com.theokanning.openai-gpt3-java</groupId>
+<!--            <groupId>com.theokanning.openai-gpt3-java</groupId>-->
-            <artifactId>service</artifactId>
+<!--            <artifactId>service</artifactId>-->
-            <version>0.18.0</version>
+<!--            <version>0.18.0</version>-->
-        </dependency>
+<!--        </dependency>-->
-        <dependency>
+<!--        <dependency>-->
-            <groupId>com.theokanning.openai-gpt3-java</groupId>
+<!--            <groupId>com.theokanning.openai-gpt3-java</groupId>-->
-            <artifactId>client</artifactId>
+<!--            <artifactId>client</artifactId>-->
-            <version>0.18.0</version>
+<!--            <version>0.18.0</version>-->
-        </dependency>
+<!--        </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>
+<!--        <dependency>-->
-            <groupId>org.tensorflow</groupId>
+<!--            <groupId>org.tensorflow</groupId>-->
-            <artifactId>tensorflow-core-platform</artifactId>
+<!--            <artifactId>tensorflow-core-platform</artifactId>-->
-            <version>0.5.0</version>
+<!--            <version>0.5.0</version>-->
-        </dependency>
+<!--        </dependency>-->
-        <dependency>
+<!--        <dependency>-->
-            <groupId>org.deeplearning4j</groupId>
+<!--            <groupId>org.deeplearning4j</groupId>-->
-            <artifactId>deeplearning4j-core</artifactId>
+<!--            <artifactId>deeplearning4j-core</artifactId>-->
-            <version>1.0.0-M2.1</version>
+<!--            <version>1.0.0-M2.1</version>-->
-        </dependency>
+<!--        </dependency>-->
 
-        <dependency>
+<!--        <dependency>-->
-            <groupId>ai.djl</groupId>
+<!--            <groupId>ai.djl</groupId>-->
-            <artifactId>api</artifactId>
+<!--            <artifactId>api</artifactId>-->
-            <version>0.28.0</version>
+<!--            <version>0.28.0</version>-->
-        </dependency>
+<!--        </dependency>-->
         <dependency>
             <groupId>ai.djl</groupId>
             <artifactId>model-zoo</artifactId>
@@ -294,16 +294,16 @@
 
 
 
-        <dependency>
+<!--        <dependency>-->
-            <groupId>org.apache.poi</groupId>
+<!--            <groupId>org.apache.poi</groupId>-->
-            <artifactId>poi-ooxml</artifactId>
+<!--            <artifactId>poi-ooxml</artifactId>-->
-            <version>5.2.3</version>
+<!--            <version>5.2.3</version>-->
-        </dependency>
+<!--        </dependency>-->
-        <dependency>
+<!--        <dependency>-->
-            <groupId>commons-io</groupId>
+<!--            <groupId>commons-io</groupId>-->
-            <artifactId>commons-io</artifactId>
+<!--            <artifactId>commons-io</artifactId>-->
-            <version>2.13.0</version>
+<!--            <version>2.13.0</version>-->
-        </dependency>
+<!--        </dependency>-->
 
         <dependency>
             <groupId>org.anyline</groupId>

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) {
+//            while (true) {
-                result = transcription.fetch(TranscriptionQueryParam.FromTranscriptionParam(param, taskId));
+//                result = transcription.fetch(TranscriptionQueryParam.FromTranscriptionParam(param, taskId));
-
+//
-                if (result.getTaskStatus() == TaskStatus.SUCCEEDED) {
+//                if (result.getTaskStatus() == TaskStatus.SUCCEEDED) {
-                    logger.info("语音识别任务完成，TaskId: {}", taskId);
+//                    logger.info("语音识别任务完成，TaskId: {}", taskId);
-                    break;
+//                    break;
-                } else if (result.getTaskStatus() == TaskStatus.FAILED) {
+//                } else if (result.getTaskStatus() == TaskStatus.FAILED) {
-                    aiAsrRecord.setAsrFailedReason(result.getResults().toString());
+//                    aiAsrRecord.setAsrFailedReason(result.getResults().toString());
-                    aiAsrRecord.setTaskId(taskId);
+//                    aiAsrRecord.setTaskId(taskId);
-                    aiAsrRecord.setAsrResult(HwMomAiConstants.AI_ASR_RESULT_FAILED);
+//                    aiAsrRecord.setAsrResult(HwMomAiConstants.AI_ASR_RESULT_FAILED);
-                    aiAsrRecordMapper.insert(aiAsrRecord);
+//                    aiAsrRecordMapper.insert(aiAsrRecord);
-                    logger.error("语音识别任务失败，TaskId: {}, 错误信息: {}", taskId, result.getResults().toString());
+//                    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());
+//                    throw new RuntimeException("语音识别任务失败: " + result.getResults().toString());
-                }
+//                }
-
+//
-                // 等待1秒后再次查询
+//                // 等待1秒后再次查询
-                Thread.sleep(1000);
+//                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
+        if (taskResultList != null && taskResultList.size() > 0) {
-        HttpURLConnection connection = (HttpURLConnection) new URL(transcriptionUrl).openConnection();
+            HttpURLConnection connection = null;
-        connection.setRequestMethod("GET");
+            try {
-        connection.connect();
+                TranscriptionTaskResult taskResult = taskResultList.get(0);
-
+                String transcriptionUrl = taskResult.getTranscriptionUrl();
-        try (BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
+                connection =
-            Gson gson = new GsonBuilder().setPrettyPrinting().create();
+                    (HttpURLConnection) new URL(transcriptionUrl).openConnection();
-            JsonElement jsonElement = gson.fromJson(reader, JsonElement.class);
+                connection.setRequestMethod("GET");
-
+                connection.connect();
-            if (jsonElement.isJsonObject()) {
+                BufferedReader reader =
-                JsonObject jsonObject = jsonElement.getAsJsonObject();
+                    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);
                 }
             }
-
+            } catch (Exception e) {
-            throw new RuntimeException("解析识别结果失败");
+                throw new RuntimeException("语音识别失败：" + e.getMessage());
-        } finally {
+            } finally {
-            connection.disconnect();
+                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;
     }
 
     /**

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);
     }
 

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());
+        }
+    }
+
+}

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;
+}

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;
+    }
+}

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;
+}

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;
+}

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);
+
 }

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;
 }

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);
 }

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",
+                aiChatMessage.getChatMessageId(), request.getSessionId(), request.getCarryHistoryFlag(), "1",
-                loginUser.getUserId(),loginUser.getTenantId(), loginUser.getDeptId());
+                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 modelId, Long knowledgeBaseId, Long knowledgeContentId,
-                               Long chatMessageId,String sessionId,String takeFlag,String completeFlag,
+                               Long chatMessageId, String sessionId, String takeFlag, String completeFlag,
-                               Long userId,String tenantId,Long deptId) {
+                               Long userId, String tenantId, Long deptId) {
-        Long promptToken = tokenUsage!=null ? tokenUsage.getPromptToken():null;
+        Long promptToken = tokenUsage != null ? tokenUsage.getPromptToken() : null;
-        Long completionToken = tokenUsage!=null ? tokenUsage.getCompletionToken():null;
+        Long completionToken = tokenUsage != null ? tokenUsage.getCompletionToken() : null;
-        Long totalToken = tokenUsage!=null ? tokenUsage.getTotalToken():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 String getContent() {
-        public TokenUsage getTokenUsage() { return tokenUsage; }
+            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

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 {
     }
 
 
-
-
-
-
-
 }

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;
+    }
 }

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;
+    }
 }

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);
+
 }

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);
+
+
+}

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);
 }

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);
+    }
+
 }

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>