refactor(ai): 优化消息记录处理逻辑

Administrator

2025-08-25 ff82084c84f588de78c294fcbe3cbfd006436371

 src/main/java/cc/mrbird/febs/ai/service/impl/AiServiceImpl.java

@@ -1,12 +1,21 @@
package cc.mrbird.febs.ai.service.impl;

import cc.mrbird.febs.ai.entity.AiTalkItem;
import cc.mrbird.febs.ai.enumerates.AiTypeEnum;
import cc.mrbird.febs.ai.entity.AiProductRole;
import cc.mrbird.febs.ai.req.ai.AiMessage;
import cc.mrbird.febs.ai.req.ai.AiRequest;
import cc.mrbird.febs.ai.req.talk.AiTalkAnswerStream;
import cc.mrbird.febs.ai.res.ai.AiResponse;
import cc.mrbird.febs.ai.res.ai.RadarDataItem;
import cc.mrbird.febs.ai.res.ai.Report;
import cc.mrbird.febs.ai.res.memberTalk.ApiMemberTalkStreamVo;
import cc.mrbird.febs.ai.service.AiProductRoleService;
import cc.mrbird.febs.ai.service.AiService;
import cc.mrbird.febs.ai.service.AiTalkItemService;
import cc.mrbird.febs.common.entity.FebsResponse;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.util.StrUtil;
import cn.hutool.json.JSONUtil;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonNode;
@@ -20,10 +29,12 @@
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;
import reactor.core.publisher.Flux;

import javax.annotation.PostConstruct;
import javax.annotation.PreDestroy;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
@@ -62,6 +73,7 @@

    private final AiProductRoleService aiProductRoleService;
    private final ObjectMapper objectMapper;
    private final AiTalkItemService aiTalkItemService;

    @Value("${ai.service.ak}")
    private String ak;
@@ -100,7 +112,7 @@
    }

    @Override
    public AiResponse start(String productRoleId, String content) {
    public AiResponse start(List<AiMessage> aiMessageDtoList,Integer type,String productRoleId, String content, String question) {
        if (!StringUtils.hasText(productRoleId)) {
            log.warn("productRoleId 不能为空");
            return buildErrorResponse(CODE_NOT_FOUND, "AI陪练不存在");
@@ -112,7 +124,15 @@
            return buildErrorResponse(CODE_NOT_FOUND, "AI陪练不存在");
        }

        String promptTemplate = aiProductRole.getPromptTemplate();

        String promptTemplate = "作为一个智能助手，请回答我提出的问题。";
        if (AiTypeEnum.QUESTION.getCode() ==  type){
            promptTemplate = aiProductRole.getPromptHead();
        }
        if (AiTypeEnum.ANSWER.getCode() ==  type){
            promptTemplate = aiProductRole.getPromptTemplate()+question;
        }
        log.info("promptTemplate: {}", promptTemplate);
        String linkId = aiProductRole.getLinkId();
        String jsonTemplate = aiProductRole.getJsonTemplate();

@@ -130,7 +150,9 @@
        aiRequest.setJsonTemplate(jsonTemplate);
        aiRequest.setLinkId(linkId);
        aiRequest.setContent(content);

        if (CollUtil.isNotEmpty(aiMessageDtoList)){
            aiRequest.setAiMessageDtoList(aiMessageDtoList);
        }
        return this.question(aiRequest);
    }

@@ -150,10 +172,19 @@
            return buildErrorResponse(CODE_ERROR, "请求参数不完整");
        }

        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();
        List<ChatMessage> messages = new ArrayList<>();
        ChatMessage systemMessage = ChatMessage.builder().role(ChatMessageRole.SYSTEM).content(promptTemplate).build();
        ChatMessage userMessage = ChatMessage.builder().role(ChatMessageRole.USER).content(content).build();
        messages.add(systemMessage);
        if (CollUtil.isNotEmpty(aiRequest.getAiMessageDtoList())){
            aiRequest.getAiMessageDtoList().forEach(aiMessageDto -> {
                ChatMessage message = ChatMessage.builder()
                        .role(aiMessageDto.getRole())
                        .content(aiMessageDto.getContent())
                        .build();
                messages.add(message);
            });
        }
        messages.add(userMessage);

        try {
@@ -184,7 +215,6 @@
                    .filter(contentObj -> contentObj != null)
                    .map(Object::toString)
                    .collect(Collectors.joining());

            Report report = this.extractReportData(result);
            return buildSuccessResponse(report, result);
        } catch (JsonProcessingException e) {
@@ -313,7 +343,7 @@
    public Report extractReportData(String modelOutput) {
        Matcher matcher = JSON_PATTERN.matcher(modelOutput);
        if (!matcher.find()) {
            log.warn("未匹配到FunctionCall内容，原始输出长度: {}", modelOutput.length());
            log.warn("未匹配到FunctionCall内容，原始输出长度: {}", modelOutput);
            return null;
        }

@@ -333,6 +363,151 @@
        }
    }

        // 修改服务实现
    @Override
    public Flux<FebsResponse> answerStream(String question) {
        log.info("----- standard request -----");

        final ChatMessage systemMessage = ChatMessage.builder()
                .role(ChatMessageRole.SYSTEM)
                .content("你是豆包，是由字节跳动开发的 AI 人工智能助手")
                .build();

        final ChatMessage userMessage = ChatMessage.builder()
                .role(ChatMessageRole.USER)
                .content(question)
                .build();

        List<ChatMessage> messages = Arrays.asList(systemMessage, userMessage);

        ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
                .model("ep-20250805124033-lhxbf")
                .messages(messages)
                .stream(true)
                .thinking(new ChatCompletionRequest.ChatCompletionRequestThinking("enabled"))
                .temperature(0.7)
                .topP(0.9)
                .maxTokens(2048)
                .frequencyPenalty(0.0)
                .build();

        return Flux.from(service.streamChatCompletion(chatCompletionRequest))
                .map(response -> {
                    if (response == null || response.getChoices() == null || response.getChoices().isEmpty()) {
                        return new FebsResponse().success().data("END");
                    }

                    ChatCompletionChoice choice = response.getChoices().get(0);
                    if (choice == null || choice.getMessage() == null) {
                        return new FebsResponse().success().data("END");
                    }


                    ApiMemberTalkStreamVo apiMemberTalkStreamVo = new ApiMemberTalkStreamVo();
                    // 判断是否触发深度思考，触发则打印模型输出的思维链内容
                    ChatMessage message = choice.getMessage();
                    if (message.getReasoningContent()!= null &&!message.getReasoningContent().isEmpty()) {
                        apiMemberTalkStreamVo.setReasoningContent(message.getReasoningContent());
                        System.out.print(message.getReasoningContent());
                    }

                    String content = message.getContent() == null ? "" : message.getContent().toString();
                    apiMemberTalkStreamVo.setContent(content);
                    System.out.print(content);
                    return new FebsResponse().success().data(apiMemberTalkStreamVo);
                })
                .onErrorResume(throwable -> {
                    log.error("流式调用AI服务失败，问题输入: {}", question, throwable);
                    FebsResponse errorResponse = new FebsResponse().message("AI服务调用失败");
                    return Flux.just(errorResponse);
                });
    }

    @Override
    public Flux<FebsResponse> answerStreamV2(AiTalkAnswerStream dto) {
        String question = dto.getQuestion();
        log.info("----- standard request -----");


        List<ChatMessage> messages = new ArrayList<>();
        final ChatMessage systemMessage = ChatMessage.builder()
                .role(ChatMessageRole.SYSTEM)
                .content("你是豆包，是由字节跳动开发的 AI 人工智能助手")
                .build();
        messages.add(systemMessage);
        //获取消息记录
        if (StrUtil.isNotEmpty(dto.getTalkId())){
            List<AiTalkItem> aiTalkItems = aiTalkItemService.getListByTalkId(dto.getTalkId());
            if(CollUtil.isNotEmpty(aiTalkItems)){
                for (AiTalkItem aiTalkItem : aiTalkItems){
                    if (aiTalkItem.getType() == 1){
                        ChatMessage memberMessage = ChatMessage.builder()
                                .role(ChatMessageRole.USER)
                                .content(aiTalkItem.getContext())
                                .build();
                        messages.add(memberMessage);
                    }
                    if (aiTalkItem.getType() == 2){
                        ChatMessage assistantMessage = ChatMessage.builder()
                                .role(ChatMessageRole.ASSISTANT)
                                .content(aiTalkItem.getContext())
                                .build();
                        messages.add(assistantMessage);
                    }
                }
            }
        }

        final ChatMessage userMessage = ChatMessage.builder()
                .role(ChatMessageRole.USER)
                .content(question)
                .build();
        messages.add(userMessage);

        ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
                .model("ep-20250805124033-lhxbf")
                .messages(messages)
                .stream(true)
                .thinking(new ChatCompletionRequest.ChatCompletionRequestThinking("enabled"))
                .temperature(0.7)
                .topP(0.9)
                .maxTokens(2048)
                .frequencyPenalty(0.0)
                .build();

        return Flux.from(service.streamChatCompletion(chatCompletionRequest))
                .map(response -> {
                    if (response == null || response.getChoices() == null || response.getChoices().isEmpty()) {
                        return new FebsResponse().success().data("END");
                    }

                    ChatCompletionChoice choice = response.getChoices().get(0);
                    if (choice == null || choice.getMessage() == null) {
                        return new FebsResponse().success().data("END");
                    }


                    ApiMemberTalkStreamVo apiMemberTalkStreamVo = new ApiMemberTalkStreamVo();
                    // 判断是否触发深度思考，触发则打印模型输出的思维链内容
                    ChatMessage message = choice.getMessage();
                    if (message.getReasoningContent()!= null &&!message.getReasoningContent().isEmpty()) {
                        apiMemberTalkStreamVo.setReasoningContent(message.getReasoningContent());
                        System.out.print(message.getReasoningContent());
                    }

                    String content = message.getContent() == null ? "" : message.getContent().toString();
                    apiMemberTalkStreamVo.setContent(content);
                    System.out.print(content);
                    return new FebsResponse().success().data(apiMemberTalkStreamVo);
                })
                .onErrorResume(throwable -> {
                    log.error("流式调用AI服务失败，问题输入: {}", question, throwable);
                    FebsResponse errorResponse = new FebsResponse().message("AI服务调用失败");
                    return Flux.just(errorResponse);
                });
    }


    private Report tryRepairTruncatedJson(String truncatedJson) {
        String[] repairAttempts = {
                truncatedJson + "\"}}}",