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...

Administrator

2025-08-11 0be80a07e38f08dd40e20175d788a3bfad8e68ef

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/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;
    }
}

 src/main/java/cc/mrbird/febs/ai/req/ai/AiRequestParam.java

New file
@@ -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;
}

 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);

 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

 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);
    }

 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;
    }