办学质量监测教学评价系统
ageerle
2025-04-16 d1006f50ad802db5857aed54ffcc36043a7eef0c
ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/chat/impl/OpenAIServiceImpl.java
@@ -1,78 +1,88 @@
package org.ruoyi.chat.service.chat.impl;
import cn.hutool.json.JSONUtil;
import io.modelcontextprotocol.client.McpClient;
import io.modelcontextprotocol.client.transport.WebFluxSseClientTransport;
import io.modelcontextprotocol.spec.McpSchema;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.chat.service.chat.IChatService;
import org.ruoyi.common.chat.entity.chat.Message;
import org.ruoyi.common.chat.entity.chat.ChatChoice;
import org.ruoyi.common.chat.entity.chat.ChatCompletion;
import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
import org.ruoyi.common.chat.entity.chat.Parameters;
import org.ruoyi.common.chat.entity.chat.tool.ToolCallFunction;
import org.ruoyi.common.chat.entity.chat.tool.Tools;
import org.ruoyi.common.chat.entity.chat.tool.ToolsFunction;
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
import org.ruoyi.common.chat.request.ChatRequest;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import reactor.core.publisher.Flux;
import reactor.core.scheduler.Schedulers;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Service
@Slf4j
@RequiredArgsConstructor
public class OpenAIServiceImpl implements IChatService {
   private final ChatClient chatClient;
    private final OpenAiStreamClient openAiStreamClient;
    private final ChatMemory chatMemory = new InMemoryChatMemory();
    public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, ToolCallbackProvider tools) {
        this.chatClient = chatClientBuilder
                .defaultTools(tools)
                .defaultOptions(
                        OpenAiChatOptions.builder()
                                .model("gpt-4o-mini")
                                .temperature(0.4)
                                .build())
                .build();
    }
    @Override
    public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
        return emitter;
    }
        WebFluxSseClientTransport webFluxSseClientTransport = new WebFluxSseClientTransport(WebClient.builder().baseUrl("http://localhost:8080"));
        ChatCompletion completion = ChatCompletion
                .builder()
                .messages(chatRequest.getMessages())
                .model(chatRequest.getModel())
                .stream(false)
                .build();
        List<Tools> tools = new ArrayList<>();
        try (var client = McpClient.sync(webFluxSseClientTransport).build()) {
            client.initialize();
            McpSchema.ListToolsResult toolsList = client.listTools();
    @Override
    public void mcpChat(ChatRequest chatRequest, SseEmitter emitter) {
        List<Message> msgList = chatRequest.getMessages();
        // 添加记忆
        for (int i = 0; i < msgList.size(); i++) {
            org.springframework.ai.chat.messages.Message springAiMessage = new UserMessage(msgList.get(i).getContent().toString());
            chatMemory.add(String.valueOf(i), springAiMessage);
            for (McpSchema.Tool mcpTool : toolsList.tools()) {
                McpSchema.JsonSchema jsonSchema = mcpTool.inputSchema();
                Parameters parameters = Parameters.builder()
                        .type(jsonSchema.type())
                        .properties(jsonSchema.properties())
                        .required(jsonSchema.required()).build();
                Tools tool = Tools.builder()
                        .type(Tools.Type.FUNCTION.getName())
                        .function(ToolsFunction.builder().name(mcpTool.name()).description(mcpTool.description()).parameters(parameters).build())
                        .build();
                tools.add(tool);
            }
            completion.setTools(tools);
            ChatCompletionResponse chatCompletionResponse = openAiStreamClient.chatCompletion(completion);
            String arguments = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getArguments();
            String name = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getName();
            Map<String, Object> map = JSONUtil.toBean(arguments, Map.class);
            McpSchema.CallToolResult sumResult = client.callTool(new McpSchema.CallToolRequest(name, map));
            System.out.println("add a+ b =  " + sumResult.content().get(0));
            McpSchema.Content content = sumResult.content().get(0);
            emitter.send(sumResult.content().get(0));
        } catch (IOException e) {
            emitter.completeWithError(e);
        }
        var messageChatMemoryAdvisor = new MessageChatMemoryAdvisor(chatMemory, chatRequest.getUserId().toString(), 10);
        emitter.complete();
        return emitter;
        Flux<String> content = chatClient
                .prompt(chatRequest.getPrompt())
                .advisors(messageChatMemoryAdvisor)
                .stream().content();
        content.publishOn(Schedulers.boundedElastic())
                .doOnNext(text -> {
                    try {
                        emitter.send(text);
                    } catch (IOException e) {
                        emitter.completeWithError(e);
                    }
                })
                .doOnError(error -> {
                    log.error("Error in SSE stream: ", error);
                    emitter.completeWithError(error);
                })
                .doOnComplete(emitter::complete)
                .subscribe();
    }
}