package com.iailab.module.ai.service.chat;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.util.ObjUtil;
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import cn.hutool.core.util.StrUtil;
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import com.iailab.framework.ai.core.enums.AiPlatformEnum;
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import com.iailab.framework.ai.core.util.AiUtils;
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import com.iailab.framework.common.pojo.CommonResult;
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import com.iailab.framework.common.pojo.PageResult;
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import com.iailab.framework.common.util.object.BeanUtils;
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import com.iailab.framework.tenant.core.util.TenantUtils;
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import com.iailab.module.ai.controller.admin.chat.vo.message.*;
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import com.iailab.module.ai.controller.admin.schedulesuggest.vo.ScheduleSuggestSaveReqVO;
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import com.iailab.module.ai.dal.dataobject.chat.AiChatConversationDO;
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import com.iailab.module.ai.dal.dataobject.chat.AiChatMessageDO;
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import com.iailab.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
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import com.iailab.module.ai.dal.dataobject.model.AiChatRoleDO;
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import com.iailab.module.ai.dal.dataobject.model.AiModelDO;
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import com.iailab.module.ai.dal.dataobject.model.AiToolDO;
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import com.iailab.module.ai.dal.mysql.chat.AiChatMessageMapper;
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import com.iailab.module.ai.enums.ErrorCodeConstants;
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import com.iailab.module.ai.service.knowledge.AiKnowledgeDocumentService;
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import com.iailab.module.ai.service.knowledge.AiKnowledgeSegmentService;
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import com.iailab.module.ai.service.knowledge.bo.AiKnowledgeSegmentSearchReqBO;
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import com.iailab.module.ai.service.knowledge.bo.AiKnowledgeSegmentSearchRespBO;
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import com.iailab.module.ai.service.model.AiChatRoleService;
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import com.iailab.module.ai.service.model.AiModelService;
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import com.iailab.module.ai.service.model.AiToolService;
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import com.iailab.module.ai.service.schedulesuggest.ScheduleSuggestService;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.ObjectUtils;
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import org.springframework.ai.chat.messages.Message;
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import org.springframework.ai.chat.messages.MessageType;
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import org.springframework.ai.chat.messages.SystemMessage;
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import org.springframework.ai.chat.messages.UserMessage;
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import org.springframework.ai.chat.model.ChatModel;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.model.StreamingChatModel;
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import org.springframework.ai.chat.prompt.ChatOptions;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import reactor.core.publisher.Flux;
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import java.time.LocalDateTime;
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import java.util.*;
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import java.util.regex.Matcher;
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import java.util.regex.Pattern;
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import java.util.stream.Collectors;
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import static com.iailab.framework.common.exception.util.ServiceExceptionUtil.exception;
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import static com.iailab.framework.common.pojo.CommonResult.error;
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import static com.iailab.framework.common.pojo.CommonResult.success;
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import static com.iailab.framework.common.util.collection.CollectionUtils.convertList;
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import static com.iailab.framework.common.util.collection.CollectionUtils.convertSet;
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import static com.iailab.module.ai.enums.ErrorCodeConstants.CHAT_CONVERSATION_NOT_EXISTS;
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import static com.iailab.module.ai.enums.ErrorCodeConstants.CHAT_MESSAGE_NOT_EXIST;
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/**
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* AI 聊天消息 Service 实现类
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*
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* @author fansili
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*/
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@Service
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@Slf4j
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public class AiChatMessageServiceImpl implements AiChatMessageService {
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/**
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* 知识库转 {@link UserMessage} 的内容模版
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*/
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private static final String KNOWLEDGE_USER_MESSAGE_TEMPLATE = "使用 <Reference></Reference> 标记中的内容作为本次对话的参考:\n\n" +
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"%s\n\n" + // 多个 <Reference></Reference> 的拼接
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"回答要求：\n- 避免提及你是从 <Reference></Reference> 获取的知识。";
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@Resource
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private AiChatMessageMapper chatMessageMapper;
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@Resource
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private AiChatConversationService chatConversationService;
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@Resource
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private AiChatRoleService chatRoleService;
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@Resource
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private AiModelService modalService;
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@Resource
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private AiKnowledgeSegmentService knowledgeSegmentService;
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@Resource
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private AiKnowledgeDocumentService knowledgeDocumentService;
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@Resource
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private AiToolService toolService;
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@Resource
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private ScheduleSuggestService scheduleSuggestService;
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@Transactional(rollbackFor = Exception.class)
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public AiChatMessageSendRespVO sendMessage(AiChatMessageSendReqVO sendReqVO, Long userId) {
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// 1.1 校验对话存在
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AiChatConversationDO conversation = chatConversationService
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.validateChatConversationExists(sendReqVO.getConversationId());
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if (ObjUtil.notEqual(conversation.getUserId(), userId)) {
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throw exception(CHAT_CONVERSATION_NOT_EXISTS);
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}
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List<AiChatMessageDO> historyMessages = chatMessageMapper.selectListByConversationId(conversation.getId());
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// 1.2 校验模型
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AiModelDO model = modalService.validateModel(conversation.getModelId());
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ChatModel chatModel = modalService.getChatModel(model.getId());
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// 2. 知识库找回
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List<AiKnowledgeSegmentSearchRespBO> knowledgeSegments = recallKnowledgeSegment(sendReqVO.getContent(),
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conversation);
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// 3. 插入 user 发送消息
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AiChatMessageDO userMessage = createChatMessage(conversation.getId(), null, model,
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userId, conversation.getRoleId(), MessageType.USER, sendReqVO.getContent(), sendReqVO.getUseContext(),
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null);
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// 3.1 插入 assistant 接收消息
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AiChatMessageDO assistantMessage = createChatMessage(conversation.getId(), userMessage.getId(), model,
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userId, conversation.getRoleId(), MessageType.ASSISTANT, "", sendReqVO.getUseContext(),
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knowledgeSegments);
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// 3.2 创建 chat 需要的 Prompt
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Prompt prompt = buildPrompt(conversation, historyMessages, knowledgeSegments, model, sendReqVO);
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ChatResponse chatResponse = chatModel.call(prompt);
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// 3.3 更新响应内容
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String newContent = chatResponse.getResult().getOutput().getText();
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chatMessageMapper.updateById(new AiChatMessageDO().setId(assistantMessage.getId()).setContent(newContent));
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// 3.4 响应结果
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List<AiChatMessageRespVO.KnowledgeSegment> segments = BeanUtils.toBean(knowledgeSegments,
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AiChatMessageRespVO.KnowledgeSegment.class,
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segment -> {
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AiKnowledgeDocumentDO document = knowledgeDocumentService
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.getKnowledgeDocument(segment.getDocumentId());
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segment.setDocumentName(document != null ? document.getName() : null);
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});
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// 3.5 存储大模型推断结论
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if(model.getType().equals(6)) {
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String scheduleSuggest = getScheduleSuggest(newContent);
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if(ObjectUtils.isNotEmpty(scheduleSuggest)) {
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ScheduleSuggestSaveReqVO saveReqVO = new ScheduleSuggestSaveReqVO();
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saveReqVO.setModelId(model.getId())
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.setConversationId(conversation.getId())
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.setMessageId(assistantMessage.getId())
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.setCreateTime(assistantMessage.getCreateTime())
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.setContent(scheduleSuggest);
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scheduleSuggestService.createScheduleSuggest(saveReqVO);
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}
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}
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return new AiChatMessageSendRespVO()
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.setSend(BeanUtils.toBean(userMessage, AiChatMessageSendRespVO.Message.class))
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.setReceive(BeanUtils.toBean(assistantMessage, AiChatMessageSendRespVO.Message.class)
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.setContent(newContent).setSegments(segments));
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}
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@Override
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public Flux<CommonResult<AiChatMessageSendRespVO>> sendChatMessageStream(AiChatMessageSendReqVO sendReqVO,
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Long userId) {
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// 1.1 校验对话存在
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AiChatConversationDO conversation = chatConversationService
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.validateChatConversationExists(sendReqVO.getConversationId());
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if (ObjUtil.notEqual(conversation.getUserId(), userId)) {
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throw exception(CHAT_CONVERSATION_NOT_EXISTS);
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}
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List<AiChatMessageDO> historyMessages = chatMessageMapper.selectListByConversationId(conversation.getId());
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// 1.2 校验模型
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AiModelDO model = modalService.validateModel(conversation.getModelId());
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StreamingChatModel chatModel = modalService.getChatModel(model.getId());
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// 2. 知识库找回
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List<AiKnowledgeSegmentSearchRespBO> knowledgeSegments = recallKnowledgeSegment(sendReqVO.getContent(),
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conversation);
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// 3. 插入 user 发送消息
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AiChatMessageDO userMessage = createChatMessage(conversation.getId(), null, model,
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userId, conversation.getRoleId(), MessageType.USER, sendReqVO.getContent(), sendReqVO.getUseContext(),
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null);
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// 4.1 插入 assistant 接收消息
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AiChatMessageDO assistantMessage = createChatMessage(conversation.getId(), userMessage.getId(), model,
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userId, conversation.getRoleId(), MessageType.ASSISTANT, "", sendReqVO.getUseContext(),
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knowledgeSegments);
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// 4.2 构建 Prompt，并进行调用
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Prompt prompt = buildPrompt(conversation, historyMessages, knowledgeSegments, model, sendReqVO);
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Flux<ChatResponse> streamResponse = chatModel.stream(prompt);
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// 4.3 流式返回
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StringBuffer contentBuffer = new StringBuffer();
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return streamResponse.map(chunk -> {
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// 处理知识库的返回，只有首次才有
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List<AiChatMessageRespVO.KnowledgeSegment> segments = null;
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if (StrUtil.isEmpty(contentBuffer)) {
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segments = BeanUtils.toBean(knowledgeSegments, AiChatMessageRespVO.KnowledgeSegment.class,
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segment -> TenantUtils.executeIgnore(() -> {
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AiKnowledgeDocumentDO document = knowledgeDocumentService
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.getKnowledgeDocument(segment.getDocumentId());
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segment.setDocumentName(document != null ? document.getName() : null);
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}));
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}
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// 响应结果
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String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getText() : null;
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newContent = StrUtil.nullToDefault(newContent, ""); // 避免 null 的 情况
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contentBuffer.append(newContent);
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return success(new AiChatMessageSendRespVO()
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.setSend(BeanUtils.toBean(userMessage, AiChatMessageSendRespVO.Message.class))
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.setReceive(BeanUtils.toBean(assistantMessage, AiChatMessageSendRespVO.Message.class)
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.setContent(newContent).setSegments(segments)));
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}).doOnComplete(() -> {
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// 忽略租户，因为 Flux 异步无法透传租户
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TenantUtils.executeIgnore(() -> chatMessageMapper.updateById(
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new AiChatMessageDO().setId(assistantMessage.getId()).setContent(contentBuffer.toString())));
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}).doOnError(throwable -> {
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log.error("[sendChatMessageStream][userId({}) sendReqVO({}) 发生异常]", userId, sendReqVO, throwable);
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// 忽略租户，因为 Flux 异步无法透传租户
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TenantUtils.executeIgnore(() -> chatMessageMapper.updateById(
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new AiChatMessageDO().setId(assistantMessage.getId()).setContent(throwable.getMessage())));
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}).onErrorResume(error -> Flux.just(error(ErrorCodeConstants.CHAT_STREAM_ERROR)));
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}
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private List<AiKnowledgeSegmentSearchRespBO> recallKnowledgeSegment(String content,
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AiChatConversationDO conversation) {
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// 1. 查询聊天角色
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if (conversation == null || conversation.getRoleId() == null) {
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return Collections.emptyList();
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}
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AiChatRoleDO role = chatRoleService.getChatRole(conversation.getRoleId());
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if (role == null || CollUtil.isEmpty(role.getKnowledgeIds())) {
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return Collections.emptyList();
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}
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// 2. 遍历找回
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List<AiKnowledgeSegmentSearchRespBO> knowledgeSegments = new ArrayList<>();
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for (Long knowledgeId : role.getKnowledgeIds()) {
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knowledgeSegments.addAll(knowledgeSegmentService.searchKnowledgeSegment(new AiKnowledgeSegmentSearchReqBO()
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.setKnowledgeId(knowledgeId).setContent(content)));
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}
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return knowledgeSegments;
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}
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private Prompt buildPrompt(AiChatConversationDO conversation, List<AiChatMessageDO> messages,
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List<AiKnowledgeSegmentSearchRespBO> knowledgeSegments,
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AiModelDO model, AiChatMessageSendReqVO sendReqVO) {
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List<Message> chatMessages = new ArrayList<>();
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// 1.1 System Context 角色设定
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if (StrUtil.isNotBlank(conversation.getSystemMessage())) {
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chatMessages.add(new SystemMessage(conversation.getSystemMessage()));
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}
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// 1.2 历史 history message 历史消息
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List<AiChatMessageDO> contextMessages = filterContextMessages(messages, conversation, sendReqVO);
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contextMessages
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.forEach(message -> chatMessages.add(AiUtils.buildMessage(message.getType(), message.getContent())));
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// 1.3 当前 user message 新发送消息
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chatMessages.add(new UserMessage(sendReqVO.getContent()));
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// 1.4 知识库，通过 UserMessage 实现
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if (CollUtil.isNotEmpty(knowledgeSegments)) {
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String reference = knowledgeSegments.stream()
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.map(segment -> "<Reference>" + segment.getContent() + "</Reference>")
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.collect(Collectors.joining("\n\n"));
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chatMessages.add(new UserMessage(String.format(KNOWLEDGE_USER_MESSAGE_TEMPLATE, reference)));
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}
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// 2.1 查询 tool 工具
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Set<String> toolNames = null;
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if (conversation.getRoleId() != null) {
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AiChatRoleDO chatRole = chatRoleService.getChatRole(conversation.getRoleId());
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if (chatRole != null && CollUtil.isNotEmpty(chatRole.getToolIds())) {
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toolNames = convertSet(toolService.getToolList(chatRole.getToolIds()), AiToolDO::getName);
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}
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}
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// 2.2 构建 ChatOptions 对象
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AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform());
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ChatOptions chatOptions = AiUtils.buildChatOptions(platform, model.getModel(),
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conversation.getTemperature(), conversation.getMaxTokens(), toolNames);
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return new Prompt(chatMessages, chatOptions);
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}
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/**
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* 从历史消息中，获得倒序的 n 组消息作为消息上下文
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* <p>
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* n 组：指的是 user + assistant 形成一组
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*
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* @param messages 消息列表
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* @param conversation 对话
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* @param sendReqVO 发送请求
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* @return 消息上下文
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*/
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private List<AiChatMessageDO> filterContextMessages(List<AiChatMessageDO> messages,
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AiChatConversationDO conversation,
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AiChatMessageSendReqVO sendReqVO) {
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if (conversation.getMaxContexts() == null || ObjUtil.notEqual(sendReqVO.getUseContext(), Boolean.TRUE)) {
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return Collections.emptyList();
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}
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List<AiChatMessageDO> contextMessages = new ArrayList<>(conversation.getMaxContexts() * 2);
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for (int i = messages.size() - 1; i >= 0; i--) {
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AiChatMessageDO assistantMessage = CollUtil.get(messages, i);
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if (assistantMessage == null || assistantMessage.getReplyId() == null) {
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continue;
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}
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AiChatMessageDO userMessage = CollUtil.get(messages, i - 1);
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if (userMessage == null
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|| ObjUtil.notEqual(assistantMessage.getReplyId(), userMessage.getId())
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|| StrUtil.isEmpty(assistantMessage.getContent())) {
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continue;
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}
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// 由于后续要 reverse 反转，所以先添加 assistantMessage
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contextMessages.add(assistantMessage);
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contextMessages.add(userMessage);
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// 超过最大上下文，结束
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if (contextMessages.size() >= conversation.getMaxContexts() * 2) {
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break;
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}
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}
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Collections.reverse(contextMessages);
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return contextMessages;
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}
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private AiChatMessageDO createChatMessage(Long conversationId, Long replyId,
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AiModelDO model, Long userId, Long roleId,
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MessageType messageType, String content, Boolean useContext,
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List<AiKnowledgeSegmentSearchRespBO> knowledgeSegments) {
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AiChatMessageDO message = new AiChatMessageDO().setConversationId(conversationId).setReplyId(replyId)
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.setModel(model.getModel()).setModelId(model.getId()).setUserId(userId).setRoleId(roleId)
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.setType(messageType.getValue()).setContent(content).setUseContext(useContext)
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.setSegmentIds(convertList(knowledgeSegments, AiKnowledgeSegmentSearchRespBO::getId));
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message.setCreateTime(LocalDateTime.now());
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chatMessageMapper.insert(message);
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return message;
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}
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@Override
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public PageResult<AiChatMessageDO> getChatMessagePageByConversationId(AiChatMessageReqVO reqVO) {
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return chatMessageMapper.selectPageByConversationId(reqVO);
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}
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@Override
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public List<AiChatMessageDO> getChatMessageListByConversationId(Long conversationId) {
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return chatMessageMapper.selectListByConversationId(conversationId);
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}
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@Override
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public void deleteChatMessage(Long id, Long userId) {
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// 1. 校验消息存在
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AiChatMessageDO message = chatMessageMapper.selectById(id);
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if (message == null || ObjUtil.notEqual(message.getUserId(), userId)) {
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throw exception(CHAT_MESSAGE_NOT_EXIST);
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}
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// 2. 执行删除
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chatMessageMapper.deleteById(id);
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}
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@Override
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public void deleteChatMessageByConversationId(Long conversationId, Long userId) {
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// 1. 校验消息存在
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List<AiChatMessageDO> messages = chatMessageMapper.selectListByConversationId(conversationId);
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if (CollUtil.isEmpty(messages) || ObjUtil.notEqual(messages.get(0).getUserId(), userId)) {
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throw exception(CHAT_MESSAGE_NOT_EXIST);
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}
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// 2. 执行删除
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chatMessageMapper.deleteBatchIds(convertList(messages, AiChatMessageDO::getId));
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}
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@Override
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public void deleteChatMessageByAdmin(Long id) {
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// 1. 校验消息存在
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AiChatMessageDO message = chatMessageMapper.selectById(id);
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if (message == null) {
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throw exception(CHAT_MESSAGE_NOT_EXIST);
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}
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// 2. 执行删除
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chatMessageMapper.deleteById(id);
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}
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@Override
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public Map<Long, Integer> getChatMessageCountMap(Collection<Long> conversationIds) {
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return chatMessageMapper.selectCountMapByConversationId(conversationIds);
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}
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@Override
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public PageResult<AiChatMessageDO> getChatMessagePage(AiChatMessagePageReqVO pageReqVO) {
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return chatMessageMapper.selectPage(pageReqVO);
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}
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private String getScheduleSuggest(String content) {
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String spliceText = content.contains("总结：") ? "总结：" : "结论：";
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String regex = "^([\\s\\S]*?)" + spliceText + "([\\s\\S]*)$";
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Pattern pattern = java.util.regex.Pattern.compile(regex);
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Matcher matcher = pattern.matcher(content);
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if (matcher.find()) {
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return matcher.group(2).trim();
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}
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return "";
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}
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}
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