feat(ai): 添加知识点推荐功能- 新增 AiProductPointService接口的 recommend 方法 - 实现 AiProduc...

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2 days ago 841f1631b790d2c4caf24a40eb4830f57a9bafa5

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

@@ -9,7 +9,7 @@
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.res.memberTalk.ApiMemberTalkStreamVoOld;
import cc.mrbird.febs.ai.service.AiProductRoleService;
import cc.mrbird.febs.ai.service.AiService;
import cc.mrbird.febs.ai.service.AiTalkItemService;
@@ -126,6 +126,19 @@
            type = Integer.parseInt(dataDictionaryCustom.getValue());
        }
        return type;
    }

    @Override
    public String getSystemSetLTAiPrompt() {
        String prompt = "请将问题转换为中文，并给出一个最详细的答案。";
        DataDictionaryCustom dataDictionaryCustom = dataDictionaryCustomMapper.selectDicDataByTypeAndCode(
                LlmStrategyContextEnum.LLM_LING_TONG_PROMPT.getCode(),
                LlmStrategyContextEnum.LLM_LING_TONG_PROMPT.getCode()
        );
        if (dataDictionaryCustom != null) {
            prompt = dataDictionaryCustom.getValue();
        }
        return prompt;
    }

    @Override
@@ -420,18 +433,18 @@
                    }


                    ApiMemberTalkStreamVo apiMemberTalkStreamVo = new ApiMemberTalkStreamVo();
                    ApiMemberTalkStreamVoOld apiMemberTalkStreamVoOld = new ApiMemberTalkStreamVoOld();
                    // 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());
                        apiMemberTalkStreamVoOld.setReasoningContent(message.getReasoningContent());
//                        System.out.print(message.getReasoningContent());
                    }

                    String content = message.getContent() == null ? "" : message.getContent().toString();
                    apiMemberTalkStreamVo.setContent(content);
                    apiMemberTalkStreamVoOld.setContent(content);
                    System.out.print(content);
                    return new FebsResponse().success().data(apiMemberTalkStreamVo);
                    return new FebsResponse().success().data(apiMemberTalkStreamVoOld);
                })
                .onErrorResume(throwable -> {
                    log.error("流式调用AI服务失败，问题输入: {}", question, throwable);
@@ -454,7 +467,7 @@

        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")
                .content("你是豆包，是由字节跳动开发的 AI 人工智能助手，请使用中文回复")
                .build();
        messages.add(systemMessage);

@@ -500,12 +513,12 @@
                    }

                    ChatMessage message = choice.getMessage();
                    ApiMemberTalkStreamVo apiMemberTalkStreamVo = new ApiMemberTalkStreamVo();
                    ApiMemberTalkStreamVoOld apiMemberTalkStreamVoOld = new ApiMemberTalkStreamVoOld();

                    // 处理 reasoning content
                    String reasoningContent = message.getReasoningContent();
                    if (StrUtil.isNotEmpty(reasoningContent)) {
                        apiMemberTalkStreamVo.setReasoningContent(reasoningContent);
                        apiMemberTalkStreamVoOld.setReasoningContent(reasoningContent);
                        log.debug("Reasoning Content: {}", reasoningContent);
                    }

@@ -514,11 +527,11 @@
                    if (message.getContent() != null) {
                        content = message.getContent().toString();
                    }
                    apiMemberTalkStreamVo.setContent(content);
                    apiMemberTalkStreamVoOld.setContent(content);
                    System.out.print(content);
                    log.debug("Content: {}", content);

                    return new FebsResponse().success().data(apiMemberTalkStreamVo);
                    return new FebsResponse().success().data(apiMemberTalkStreamVoOld);
                })
                .onErrorResume(throwable -> {
                    log.error("流式调用AI服务失败，问题输入: {}", question, throwable);