From 0be80a07e38f08dd40e20175d788a3bfad8e68ef Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Mon, 11 Aug 2025 11:41:24 +0800
Subject: [PATCH] feat(ai): 增加 AI 陪练报告数据解析功能 - 新增 Report、RadarData 和 Evaluation 类用于解析报告数据 - 在 AiService 接口中添加 extractReportData 方法 - 在 AiServiceImpl 中实现报告数据的提取和解析 - 更新 ApiMemberTalkVo,增加 report 字段用于存储解析后的报告数据 - 修改前端相关的回答格式和类型

---
 src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java                    |  159 ++++++++++++++++++++++++-------
 src/main/java/cc/mrbird/febs/ai/service/AiMemberTalkService.java                   |    4 
 src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkServiceImpl.java          |   72 ++++++++++++++
 src/main/java/cc/mrbird/febs/ai/controller/memberTalk/ApiMemberTalkController.java |   36 ++++++
 src/main/java/cc/mrbird/febs/ai/req/ai/AiRequestParam.java                         |   16 +++
 src/main/java/cc/mrbird/febs/ai/service/AiService.java                             |    4 
 6 files changed, 250 insertions(+), 41 deletions(-)

diff --git a/src/main/java/cc/mrbird/febs/ai/controller/memberTalk/ApiMemberTalkController.java b/src/main/java/cc/mrbird/febs/ai/controller/memberTalk/ApiMemberTalkController.java
index 66212da..ca256ba 100644
--- a/src/main/java/cc/mrbird/febs/ai/controller/memberTalk/ApiMemberTalkController.java
+++ b/src/main/java/cc/mrbird/febs/ai/controller/memberTalk/ApiMemberTalkController.java
@@ -5,10 +5,7 @@
 import cc.mrbird.febs.ai.res.memberTalk.ApiMemberTalkVo;
 import cc.mrbird.febs.ai.service.AiMemberTalkService;
 import cc.mrbird.febs.common.entity.FebsResponse;
-import io.swagger.annotations.Api;
-import io.swagger.annotations.ApiOperation;
-import io.swagger.annotations.ApiResponse;
-import io.swagger.annotations.ApiResponses;
+import io.swagger.annotations.*;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.validation.annotation.Validated;
@@ -16,6 +13,9 @@
 import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
+
+import java.io.IOException;
 
 /**
  * @author Administrator
@@ -51,4 +51,32 @@
 
         return aiMemberTalkService.answer(dto);
     }
+
+    @PostMapping("/start-stream")
+    @ApiOperation("开始AI对话(流式)")
+    @ApiResponses({
+            @ApiResponse(code = 200, message = "流式响应", response = ApiMemberTalkVo.class),
+            @ApiResponse(code = 500, message = "系统错误")
+    })
+    public SseEmitter startStream(
+            @ApiParam(value = "对话请求参数", required = true)
+            @RequestBody ApiMemberTalkDto dto) {
+
+        SseEmitter emitter = new SseEmitter(0L); // 0表示永不超时
+
+        aiMemberTalkService.startStream(dto, response -> {
+            try {
+                emitter.send(SseEmitter.event().data(response));
+                // 如果包含report,说明是最终结果,关闭连接
+                if (response.getCode() != null &&
+                        "200".equals(response.getCode())) {
+                    emitter.complete();
+                }
+            } catch (IOException e) {
+                emitter.completeWithError(e);
+            }
+        });
+
+        return emitter;
+    }
 }
diff --git a/src/main/java/cc/mrbird/febs/ai/req/ai/AiRequestParam.java b/src/main/java/cc/mrbird/febs/ai/req/ai/AiRequestParam.java
new file mode 100644
index 0000000..efe9d13
--- /dev/null
+++ b/src/main/java/cc/mrbird/febs/ai/req/ai/AiRequestParam.java
@@ -0,0 +1,16 @@
+package cc.mrbird.febs.ai.req.ai;
+
+import io.swagger.annotations.ApiModel;
+import lombok.Data;
+
+/**
+ * @author Administrator
+ */
+@Data
+@ApiModel(value = "AiRequestParam", description = "参数")
+public class AiRequestParam {
+
+    private String productRoleId;
+    private String content;
+    private String assistantRole;
+}
diff --git a/src/main/java/cc/mrbird/febs/ai/service/AiMemberTalkService.java b/src/main/java/cc/mrbird/febs/ai/service/AiMemberTalkService.java
index 1101850..f533640 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/AiMemberTalkService.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/AiMemberTalkService.java
@@ -3,11 +3,13 @@
 import cc.mrbird.febs.ai.entity.AiMemberTalk;
 import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkAnswerDto;
 import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkDto;
+import cc.mrbird.febs.ai.res.ai.AiResponse;
 import cc.mrbird.febs.common.entity.FebsResponse;
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.extension.service.IService;
 
 import java.util.Date;
+import java.util.function.Consumer;
 
 /**
  * AI用户对话训练记录 Service接口
@@ -22,6 +24,8 @@
 
     FebsResponse start(ApiMemberTalkDto dto);
 
+    void startStream(ApiMemberTalkDto dto, Consumer<AiResponse> callback);
+
     AiMemberTalk getByQuery(LambdaQueryWrapper<AiMemberTalk> query);
 
     void updateTimeUpdate(Date nowTime, String id);
diff --git a/src/main/java/cc/mrbird/febs/ai/service/AiService.java b/src/main/java/cc/mrbird/febs/ai/service/AiService.java
index 04a87e9..f94fea8 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/AiService.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/AiService.java
@@ -4,6 +4,8 @@
 import cc.mrbird.febs.ai.res.ai.AiResponse;
 import cc.mrbird.febs.ai.res.ai.Report;
 
+import java.util.function.Consumer;
+
 /**
  * @author Administrator
  */
@@ -14,6 +16,8 @@
 
     AiResponse question(AiRequest aiRequest);
 
+    void streamQuestion(AiRequest aiRequest, Consumer<AiResponse> callback);
+
     /**
      * 从模型输出中提取并解析报告数据
      * @param modelOutput 模型原始输出
diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkServiceImpl.java
index 6c88c98..db3d4ba 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkServiceImpl.java
@@ -4,6 +4,7 @@
 import cc.mrbird.febs.ai.entity.AiMemberTalkItem;
 import cc.mrbird.febs.ai.entity.AiProductRoleLink;
 import cc.mrbird.febs.ai.mapper.AiMemberTalkMapper;
+import cc.mrbird.febs.ai.req.ai.AiRequest;
 import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkAnswerDto;
 import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkDto;
 import cc.mrbird.febs.ai.res.ai.AiResponse;
@@ -26,6 +27,7 @@
 import org.springframework.stereotype.Service;
 
 import java.util.Date;
+import java.util.function.Consumer;
 
 /**
  * AI用户对话训练记录 Service实现类
@@ -90,6 +92,76 @@
     }
 
     @Override
+    public void startStream(ApiMemberTalkDto dto, Consumer<AiResponse> callback) {
+        try {
+            String memberUuid = LoginUserUtil.getLoginUser().getMemberUuid();
+            String productId = dto.getId();
+
+            LambdaQueryWrapper<AiProductRoleLink> productLinkQuery = Wrappers.lambdaQuery(AiProductRoleLink.class);
+            productLinkQuery.eq(AiProductRoleLink::getProductId, productId);
+            productLinkQuery.last("limit 1");
+            AiProductRoleLink aiProductRoleLink = aiProductRoleLinkService.getByQuery(productLinkQuery);
+            if (ObjectUtil.isNull(aiProductRoleLink)) {
+                AiResponse aiResponse = new AiResponse();
+                aiResponse.setCode("500");
+                aiResponse.setDescription("产品AI陪练不存在");
+                callback.accept(aiResponse);
+                return;
+            }
+
+            // 构造AI请求
+            AiRequest aiRequest = new AiRequest();
+            aiRequest.setLinkId(aiProductRoleLink.getProductRoleId());
+            aiRequest.setPromptTemplate(aiProductRoleLink.getProductRoleId());
+            aiRequest.setContent("<strong>\"生成题目\"</strong>");
+
+            // 定义AI服务回调处理
+            Consumer<AiResponse> aiCallback = aiResponse -> {
+                Date nowTime = new Date();
+                LambdaQueryWrapper<AiMemberTalk> query = Wrappers.lambdaQuery(AiMemberTalk.class);
+                query.eq(AiMemberTalk::getMemberId, memberUuid);
+                query.eq(AiMemberTalk::getProductId, productId);
+                query.last("limit 1");
+                AiMemberTalk aiMemberTalk = this.getByQuery(query);
+                if (ObjectUtil.isNull(aiMemberTalk)) {
+                    aiMemberTalk = this.add(memberUuid, productId, nowTime);
+                }
+                try {
+                    if (aiResponse.getCode().equals("200")) {
+                        // 如果是最终结果(包含报告)
+                        if (aiResponse.getReport() != null) {
+                            // 保存完整响应到数据库
+                            aiMemberTalkItemService.add(memberUuid, aiMemberTalk.getId(), 1, aiResponse.getResContext(), nowTime);
+                            this.updateTimeUpdate(nowTime, aiMemberTalk.getId());
+
+                            callback.accept(aiResponse);
+                        } else {
+                            // 流式响应片段
+                            callback.accept(aiResponse);
+                        }
+                    } else {
+                        callback.accept(aiResponse);
+                    }
+                } catch (Exception e) {
+                    log.error("处理AI响应异常", e);
+                    callback.accept(aiResponse);
+                }
+            };
+
+            // 调用AI服务的流式接口
+            aiService.streamQuestion(aiRequest, aiCallback);
+
+        } catch (Exception e) {
+            log.error("流式调用start方法异常", e);
+
+            AiResponse aiResponse = new AiResponse();
+            aiResponse.setCode("500");
+            aiResponse.setDescription("流式调用start方法异常");
+            callback.accept(aiResponse);
+        }
+    }
+
+    @Override
     public AiMemberTalk getByQuery(LambdaQueryWrapper<AiMemberTalk> query) {
         return aiMemberTalkMapper.selectOne( query);
     }
diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
index 3ab9f2c..fca39c3 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java
@@ -24,6 +24,7 @@
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.TimeUnit;
+import java.util.function.Consumer;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 import java.util.stream.Collectors;
@@ -37,8 +38,25 @@
 public class AiServiceImpl implements AiService {
 
     private static final String CODE_SUCCESS = "200";
+    private static final String CODE_GOING_ON = "199";
     private static final String CODE_NOT_FOUND = "201";
     private static final String CODE_ERROR = "500";
+
+    private static final String SCHEMA_JSON = "{\n" +
+            "     \"radar_data\": {\n" +
+            "       \"problem_understanding\": \"object\",\n" +
+            "       \"fluency\": \"object\",\n" +
+            "       \"principle_adherence\": \"object\",\n" +
+            "       \"logicality\": \"object\",\n" +
+            "       \"knowledge_mastery\": \"object\"\n" +
+            "     },\n" +
+            "     \"evaluation\": {\n" +
+            "       \"highlight\": \"object\",\n" +
+            "       \"suggestion\": \"object\",\n" +
+            "       \"reference_answer\": \"object\",\n" +
+            "       \"key_knowledge\": \"object\"\n" +
+            "     }\n" +
+            "   }";
 
     private final AiProductRoleService aiProductRoleService;
     private final ObjectMapper objectMapper;
@@ -56,8 +74,13 @@
 
     @PostConstruct
     public void init() {
-        ConnectionPool connectionPool = new ConnectionPool(10, 30, TimeUnit.SECONDS);
+        // 增加连接池大小和存活时间
+        ConnectionPool connectionPool = new ConnectionPool(32, 60, TimeUnit.SECONDS);
         Dispatcher dispatcher = new Dispatcher();
+        // 增加并发请求数量
+        dispatcher.setMaxRequests(128);
+        dispatcher.setMaxRequestsPerHost(32);
+
         this.service = ArkService.builder()
                 .dispatcher(dispatcher)
                 .connectionPool(connectionPool)
@@ -100,7 +123,7 @@
         aiRequest.setLinkId(linkId);
         aiRequest.setContent(content);
 
-        return question(aiRequest);
+        return this.question(aiRequest);
     }
 
     @Override
@@ -119,25 +142,8 @@
         messages.add(systemMessage);
         messages.add(userMessage);
 
-        // 生成 JSON Schema
-        String schemaJson = "{\n" +
-                "     \"radar_data\": {\n" +
-                "       \"problem_understanding\": \"object\",\n" +
-                "       \"fluency\": \"object\",\n" +
-                "       \"principle_adherence\": \"object\",\n" +
-                "       \"logicality\": \"object\",\n" +
-                "       \"knowledge_mastery\": \"object\"\n" +
-                "     },\n" +
-                "     \"evaluation\": {\n" +
-                "       \"highlight\": \"object\",\n" +
-                "       \"suggestion\": \"object\",\n" +
-                "       \"reference_answer\": \"object\",\n" +
-                "       \"key_knowledge\": \"object\"\n" +
-                "     }\n" +
-                "   }";
         try {
-            JsonNode schemaNode = objectMapper.readTree(schemaJson);
-            // 配置响应格式
+            JsonNode schemaNode = objectMapper.readTree(SCHEMA_JSON);
             ChatCompletionRequest.ChatCompletionRequestResponseFormat responseFormat = new ChatCompletionRequest.ChatCompletionRequestResponseFormat(
                     "json_schema",
                     new ResponseFormatJSONSchemaJSONSchemaParam(
@@ -152,11 +158,12 @@
                     .messages(messages)
                     .stream(false)
                     .responseFormat(responseFormat)
-                    .temperature(1.0)
-                    .topP(0.7)
-                    .maxTokens(4096)
+                    .temperature(0.7) // 降低温度参数,提高确定性,可能提升速度
+                    .topP(0.9)        // 调整topP参数
+                    .maxTokens(2048)  // 减少最大token数
                     .frequencyPenalty(0.0)
                     .build();
+
             List<ChatCompletionChoice> choices = service.createChatCompletion(chatCompletionRequest).getChoices();
             String result = choices.stream()
                     .map(choice -> choice.getMessage().getContent())
@@ -170,10 +177,97 @@
             log.error("初始化AI服务失败,JSON格式化输出初始化失败", e);
             return buildErrorResponse(CODE_ERROR, "AI服务调用失败");
         } catch (Exception e) {
-            log.error("调用AI服务失败,modelId: {}, content: {}", linkId, content, e);
+            log.error("调用AI服务失败,modelId: {}", linkId, e);
             return buildErrorResponse(CODE_ERROR, "AI服务调用失败");
         }
     }
+
+    @Override
+    public void streamQuestion(AiRequest aiRequest, Consumer<AiResponse> callback) {
+
+        String promptTemplate = aiRequest.getPromptTemplate();
+        String linkId = aiRequest.getLinkId();
+        String content = aiRequest.getContent();
+        if (!StringUtils.hasText(promptTemplate) || !StringUtils.hasText(linkId) || !StringUtils.hasText(content)) {
+            log.warn("请求参数不完整,promptTemplate: {}, linkId: {}, content: {}", promptTemplate, linkId, content);
+        }
+
+        final List<ChatMessage> messages = new ArrayList<>();
+        final ChatMessage systemMessage = ChatMessage.builder().role(ChatMessageRole.SYSTEM).content(promptTemplate).build();
+        final ChatMessage userMessage = ChatMessage.builder().role(ChatMessageRole.USER).content(content).build();
+        messages.add(systemMessage);
+        messages.add(userMessage);
+
+        try {
+            JsonNode schemaNode = objectMapper.readTree(SCHEMA_JSON);
+            ChatCompletionRequest.ChatCompletionRequestResponseFormat responseFormat = new ChatCompletionRequest.ChatCompletionRequestResponseFormat(
+                    "json_schema",
+                    new ResponseFormatJSONSchemaJSONSchemaParam(
+                            "ai_response",
+                            "json数据响应",
+                            schemaNode,
+                            true
+                    )
+            );
+            ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
+                    .model(linkId)
+                    .messages(messages)
+                    .stream(true) // 启用流式响应
+                    .responseFormat(responseFormat)
+                    .temperature(0.7)
+                    .topP(0.9)
+                    .maxTokens(2048)
+                    .build();
+
+            service.streamChatCompletion(chatCompletionRequest)
+                    .doOnError(Throwable::printStackTrace) // 处理错误
+                    .blockingForEach(response -> {
+                        AiResponse partialResponse = new AiResponse();
+                        if (response.getChoices() != null && !response.getChoices().isEmpty()) {
+                            String responseStr = String.valueOf(response.getChoices().get(0).getMessage().getContent());
+                            if (responseStr != null) {
+                                // 构造部分响应并回调
+                                partialResponse = buildGOINGONResponse(responseStr);
+                            }
+                        }else{
+                            partialResponse = buildPartialResponse("成功");
+                        }
+                        callback.accept(partialResponse);
+                    });
+//            service.streamChatCompletion(chatCompletionRequest)
+//                    .doOnError(throwable -> {
+//                        log.error("流式调用AI服务失败", throwable);
+//                        callback.accept(buildErrorResponse(CODE_ERROR, "AI服务调用失败"));
+//                    })
+//                    .subscribe(chatCompletionChunk -> {
+//                        // 处理每个数据块
+//                        Object chunkContent = chatCompletionChunk.getChoices().get(0).getMessage().getContent();
+//                        // 构造部分响应并回调
+//                        AiResponse partialResponse = buildGOINGONResponse(chunkContent);
+//                        callback.accept(partialResponse);
+//                    });
+        } catch (Exception e) {
+            log.error("调用AI服务失败", e);
+            callback.accept(buildErrorResponse(CODE_ERROR, "AI服务调用失败"));
+        }
+    }
+
+    private AiResponse buildGOINGONResponse(Object chunkContent) {
+        AiResponse response = new AiResponse();
+        response.setCode(CODE_GOING_ON);
+        response.setDescription("成功");
+        response.setResContext(chunkContent.toString());
+        return response;
+    }
+
+    private AiResponse buildPartialResponse(Object chunkContent) {
+        AiResponse response = new AiResponse();
+        response.setCode(CODE_SUCCESS);
+        response.setDescription("成功");
+        response.setResContext(chunkContent.toString());
+        return response;
+    }
+
 
     private static final Pattern JSON_PATTERN = Pattern.compile(
             "<\\|FunctionCallBegin\\|>(.*?)<\\|FunctionCallEnd\\|>",
@@ -182,22 +276,19 @@
 
     @Override
     public Report extractReportData(String modelOutput) {
-        // 提取JSON部分
         Matcher matcher = JSON_PATTERN.matcher(modelOutput);
         if (!matcher.find()) {
-            log.warn("未匹配到FunctionCall内容,原始输出: {}", modelOutput);
+            log.warn("未匹配到FunctionCall内容,原始输出长度: {}", modelOutput.length());
             return null;
         }
 
         String jsonContent = matcher.group(1);
-        log.debug("提取到的JSON内容: {}", jsonContent);
+        log.debug("提取到的JSON内容长度: {}", jsonContent.length());
 
-        // 解析JSON到Report对象
         try {
             return objectMapper.readValue(jsonContent, Report.class);
         } catch (JsonProcessingException e) {
-            log.error("JSON解析失败,原始内容: {}", jsonContent, e);
-            // 尝试修复截断的JSON(可选)
+            log.error("JSON解析失败,原始内容长度: {}", jsonContent.length(), e);
             Report repairedReport = tryRepairTruncatedJson(jsonContent);
             if (repairedReport != null) {
                 log.info("成功修复截断的JSON");
@@ -207,13 +298,7 @@
         }
     }
 
-    /**
-     * 尝试修复截断的JSON字符串
-     * @param truncatedJson 可能被截断的JSON字符串
-     * @return 修复后的Report对象,如果无法修复则返回null
-     */
     private Report tryRepairTruncatedJson(String truncatedJson) {
-        // 简单的修复策略:尝试添加缺失的结束括号
         String[] repairAttempts = {
                 truncatedJson + "\"}}}",
                 truncatedJson + "}}}",
@@ -229,7 +314,7 @@
             }
         }
 
-        log.warn("无法修复截断的JSON: {}", truncatedJson);
+        log.warn("无法修复截断的JSON,原始内容长度: {}", truncatedJson.length());
         return null;
     }
 

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