办学质量监测教学评价系统
ageerle
2025-04-24 8fc7ad0359ba7c0ce1e144525d1d59f1dc23512e
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
package org.ruoyi.chat.service.chat.impl;
 
import io.modelcontextprotocol.client.McpSyncClient;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.chat.config.ChatConfig;
import org.ruoyi.chat.listener.SSEEventSourceListener;
import org.ruoyi.chat.service.chat.IChatService;
import org.ruoyi.common.chat.entity.chat.ChatCompletion;
import org.ruoyi.common.chat.entity.chat.Message;
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
import org.ruoyi.common.chat.request.ChatRequest;
import org.ruoyi.domain.vo.ChatModelVo;
import org.ruoyi.service.IChatModelService;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.mcp.SyncMcpToolCallbackProvider;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import java.util.List;
 
 
@Service
@Slf4j
public class OpenAIServiceImpl implements IChatService {
 
    @Autowired
    private IChatModelService chatModelService;
 
    private OpenAiStreamClient openAiStreamClient;
 
 
    @Value("${spring.ai.mcp.client.enabled}")
    private Boolean enabled;
 
    private final ChatClient chatClient;
 
    public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, List<McpSyncClient> mcpSyncClients) {
        this.chatClient = chatClientBuilder
                .defaultOptions(
                        OpenAiChatOptions.builder().model("gpt-4o-mini").build())
                .defaultTools(new SyncMcpToolCallbackProvider(mcpSyncClients))
                .build();
    }
 
    @Override
    public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
        ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
        openAiStreamClient = ChatConfig.createOpenAiStreamClient(chatModelVo.getApiHost(), chatModelVo.getApiKey());
        List<Message> messages = chatRequest.getMessages();
        if (enabled) {
            String toolString = mcpChat(chatRequest.getPrompt());
            Message userMessage = Message.builder().content("工具返回信息:"+toolString).role(Message.Role.USER).build();
            messages.add(userMessage);
        }
        SSEEventSourceListener listener = new SSEEventSourceListener(emitter);
        ChatCompletion completion = ChatCompletion
                .builder()
                .messages(messages)
                .model(chatRequest.getModel())
                .stream(true)
                .build();
        openAiStreamClient.streamChatCompletion(completion, listener);
        return emitter;
    }
 
    public String mcpChat(String prompt){
        return this.chatClient.prompt(prompt).call().content();
    }
 
}