From 2fcfbcefee1a6ad5b51e23223ebe77093b847c3a Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Thu, 30 Oct 2025 14:45:53 +0800
Subject: [PATCH] feat(ai):优化对话流初始化逻辑 - 调整对话记录查询顺序，确保获取最新进行中的对话 - 在对话不存在时创建新对话并初始化问题 - 若对话已存在，则查询最近的对话项作为标题来源 - 修复可能因查询顺序导致的标题加载异常问题
---
src/main/java/cc/mrbird/febs/ai/controller/TestController.java | 82 ++++++++++++++++++++++++++++++++--------
1 files changed, 65 insertions(+), 17 deletions(-)
diff --git a/src/main/java/cc/mrbird/febs/ai/controller/TestController.java b/src/main/java/cc/mrbird/febs/ai/controller/TestController.java
index a25deb7..4df6fa5 100644
--- a/src/main/java/cc/mrbird/febs/ai/controller/TestController.java
+++ b/src/main/java/cc/mrbird/febs/ai/controller/TestController.java
@@ -4,13 +4,15 @@
import cc.mrbird.febs.ai.enumerates.AiPromptEnum;
import cc.mrbird.febs.ai.mapper.AiMemberMapper;
import cc.mrbird.febs.ai.req.talk.AiTalkAnswerStream;
-import cc.mrbird.febs.ai.res.memberTalk.ApiMemberTalkStreamVo;
+import cc.mrbird.febs.ai.res.memberTalk.ApiMemberTalkStreamVoOld;
import cc.mrbird.febs.ai.service.AiService;
+import cc.mrbird.febs.ai.strategy.enumerates.LlmStrategyContextEnum;
import cc.mrbird.febs.ai.strategy.enumerates.LlmStrategyEnum;
import cc.mrbird.febs.ai.strategy.LlmStrategyFactory;
import cc.mrbird.febs.ai.strategy.param.LlmStrategyDto;
import cc.mrbird.febs.ai.utils.UUID;
import cc.mrbird.febs.common.entity.FebsResponse;
+import cc.mrbird.febs.common.exception.FebsException;
import cc.mrbird.febs.common.utils.AppContants;
import cc.mrbird.febs.common.utils.RedisUtils;
import cc.mrbird.febs.mall.entity.MallMember;
@@ -20,6 +22,11 @@
import cn.hutool.core.util.StrUtil;
import cn.hutool.crypto.asymmetric.KeyType;
import cn.hutool.crypto.asymmetric.RSA;
+import com.alibaba.dashscope.app.Application;
+import com.alibaba.dashscope.app.ApplicationParam;
+import com.alibaba.dashscope.app.ApplicationResult;
+import com.alibaba.dashscope.app.FlowStreamMode;
+import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import io.reactivex.Flowable;
@@ -106,7 +113,7 @@
@ApiOperation("提问AI(流式)V2")
@ApiResponses({
- @ApiResponse(code = 200, message = "流式响应", response = ApiMemberTalkStreamVo.class),
+ @ApiResponse(code = 200, message = "流式响应", response = ApiMemberTalkStreamVoOld.class),
})
@PostMapping("/answer-streamV2")
public Flux<FebsResponse> answerStreamV2(@RequestBody @Validated AiTalkAnswerStream dto) {
@@ -146,37 +153,78 @@
@ApiOperation("提问AI(流式)V3")
@ApiResponses({
- @ApiResponse(code = 200, message = "流式响应", response = ApiMemberTalkStreamVo.class),
+ @ApiResponse(code = 200, message = "流式响应", response = ApiMemberTalkStreamVoOld.class),
})
@PostMapping("/answerStreamV3")
public Flux<FebsResponse> answerStreamV3(@RequestBody @Validated AiTalkAnswerStream dto) {
- if (StrUtil.isEmpty(dto.getQuestion())){
- return Flux.just(new FebsResponse().fail().message("请输入问题"));
+
+ return llmInvokeStreamingWithThink();
+ }
+
+ private Flux<FebsResponse> llmInvokeStreamingWithThink(){
+
+ long startTime = System.currentTimeMillis();
+ ApplicationParam param = ApplicationParam.builder()
+ // 若没有配置环境变量，可用百炼API Key将下行替换为：.apiKey("sk-xxx")。但不建议在生产环境中直接将API Key硬编码到代码中，以减少API Key泄露风险。
+ .apiKey("sk-babdcf8799144134915cee2683794b2f")
+ .appId("f94539c7e54d44e2a7cac5e85f2ae61d") //替换为实际的应用 ID
+ .flowStreamMode(FlowStreamMode.MESSAGE_FORMAT)
+ .prompt("你是谁？")
+ .enableThinking( true)
+ .hasThoughts( true)
+ .build();
+
+ Application application = new Application();
+ Flowable<ApplicationResult> result;
+ try {
+ result = application.streamCall(param);
+ } catch (NoApiKeyException | InputRequiredException e) {
+ throw new FebsException(StrUtil.format("百炼工作流输出失败:{}",e.getMessage()));
}
- ArrayList<LlmStrategyDto> llmStrategyDtoList = new ArrayList<>();
- if (dto.getPrompt() != null){
- LlmStrategyDto llmStrategyDto = new LlmStrategyDto();
+ return Flux.from(result)
+ .map(message -> {
+ HashMap<String, String> stringStringHashMap = new HashMap<>();
+
+ System.out.print(message.getOutput().getThoughts());
+ if (!message.getOutput().getFinishReason().equals("stop")){
+ stringStringHashMap.put(LlmStrategyContextEnum.CONTENT.name(),message.getOutput().getWorkflowMessage().getMessage().getContent());
+ }
+ return new FebsResponse().success().data(stringStringHashMap);
+ })
+ .doOnComplete(() -> {
+ long endTime = System.currentTimeMillis();
+ System.out.println("百炼工作流输出：" + (endTime - startTime) + "毫秒");
+ })
+ .doOnError(error -> {
+ throw new FebsException(StrUtil.format("百炼工作流输出失败:{}",error));
+ });
+ }
+
+ private LlmStrategyDto buildLlmStrategyDtoList(String Str, Integer type){
+ LlmStrategyDto llmStrategyDto = new LlmStrategyDto();
+ if (type == 1){
llmStrategyDto.setRole(Role.SYSTEM.getValue());
- llmStrategyDto.setContent(dto.getPrompt());
- llmStrategyDtoList.add(llmStrategyDto);
}
- if (dto.getQuestion() != null){
- LlmStrategyDto llmStrategyDto = new LlmStrategyDto();
+ if (type == 2){
llmStrategyDto.setRole(Role.USER.getValue());
- llmStrategyDto.setContent(dto.getQuestion());
- llmStrategyDtoList.add(llmStrategyDto);
}
- String modelName = LlmStrategyEnum.getName(aiService.getSystemSetAiType());
+ if (type == 3){
+ llmStrategyDto.setRole(Role.ASSISTANT.getValue());
+ }
+ if (type == 4){
+ llmStrategyDto.setRole(Role.TOOL.getValue());
+ }
+ llmStrategyDto.setContent(Str);
- return llmStrategyFactory.getCalculationStrategyMap().get(modelName).llmInvokeStreamingWithThink(llmStrategyDtoList);
+ return llmStrategyDto;
}
@ApiOperation("提问AI(非流式响应)V4")
@ApiResponses({
- @ApiResponse(code = 200, message = "非流式响应", response = ApiMemberTalkStreamVo.class),
+ @ApiResponse(code = 200, message = "非流式响应", response = ApiMemberTalkStreamVoOld.class),
})
@PostMapping("/answerStreamV4")
public FebsResponse answerStreamV4(@RequestBody @Validated AiTalkAnswerStream dto) {
--
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