feat(ai): 添加问答记录详情分页查询功能

Administrator

2025-08-25 de4559337b49fd140aff8a45377ee6ae173b654e

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

@@ -7,8 +7,10 @@
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.common.entity.FebsResponse;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.json.JSONUtil;
import com.fasterxml.jackson.core.JsonProcessingException;
@@ -23,10 +25,12 @@
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;
@@ -354,6 +358,67 @@
        }
    }

        // 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);
                });
    }


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