WCS3.0标准版
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#
Junjie
2 天以前 338f3b81425ab96d8c856909a775124af5365e3c 
 src/main/java/com/zy/ai/service/WcsDiagnosisService.java


@@ -35,8 +35,14 @@


    @Autowired


    private AiChatStoreService aiChatStoreService;




    public void diagnoseStream(WcsDiagnosisRequest request, SseEmitter emitter) {


    public void diagnoseStream(WcsDiagnosisRequest request,


                               String chatId,


                               boolean reset,


                               SseEmitter emitter) {


        List<ChatCompletionRequest.Message> messages = new ArrayList<>();


        if (chatId != null && !chatId.isEmpty() && reset) {


            aiChatStoreService.deleteChat(chatId);


        }


        AiPromptTemplate promptTemplate = aiPromptTemplateService.resolvePublished(AiPromptScene.DIAGNOSE_STREAM.getCode());




        ChatCompletionRequest.Message mcpSystem = new ChatCompletionRequest.Message();


@@ -47,7 +53,11 @@


        mcpUser.setRole("user");


        mcpUser.setContent(aiUtils.buildDiagnosisUserContentMcp(request));




        runMcpStreamingDiagnosis(messages, mcpSystem, mcpUser, promptTemplate, 0.3, 2048, emitter, null);


        ChatCompletionRequest.Message storedUser = new ChatCompletionRequest.Message();


        storedUser.setRole("user");


        storedUser.setContent(buildDiagnoseDisplayPrompt(request));




        runMcpStreamingDiagnosis(messages, mcpSystem, mcpUser, storedUser, promptTemplate, 0.3, 2048, emitter, chatId);


    }




    public void askStream(String prompt,


@@ -77,7 +87,7 @@


        mcpUser.setRole("user");


        mcpUser.setContent(prompt == null ? "" : prompt);




        runMcpStreamingDiagnosis(messages, mcpSystem, mcpUser, promptTemplate, 0.3, 2048, emitter, finalChatId);


        runMcpStreamingDiagnosis(messages, mcpSystem, mcpUser, mcpUser, promptTemplate, 0.3, 2048, emitter, finalChatId);


    }




    public List<Map<String, Object>> listChats() {


@@ -101,6 +111,7 @@


    private void runMcpStreamingDiagnosis(List<ChatCompletionRequest.Message> baseMessages,


                                          ChatCompletionRequest.Message systemPrompt,


                                          ChatCompletionRequest.Message userQuestion,


                                          ChatCompletionRequest.Message storedUserQuestion,


                                          AiPromptTemplate promptTemplate,


                                          Double temperature,


                                          Integer maxTokens,


@@ -115,6 +126,7 @@


                throw new IllegalStateException("No MCP tools registered");


            }


            AgentUsageStats usageStats = new AgentUsageStats();


            StringBuilder reasoningBuffer = new StringBuilder();




            baseMessages.add(systemPrompt);


            baseMessages.add(userQuestion);


@@ -123,11 +135,13 @@


            messages.addAll(baseMessages);


 


            sse(emitter, "<think>\\n正在初始化诊断与工具环境...\\n");


            appendReasoning(reasoningBuffer, "正在初始化诊断与工具环境...\n");




            int maxRound = 10;


            int i = 0;


            while(true) {


                sse(emitter, "\\n正在分析（第" + (i + 1) + "轮）...\\n");


                appendReasoning(reasoningBuffer, "\n正在分析（第" + (i + 1) + "轮）...\n");


                ChatCompletionResponse resp = llmChatService.chatCompletion(messages, temperature, maxTokens, tools);


                if (resp == null || resp.getChoices() == null || resp.getChoices().isEmpty() || resp.getChoices().get(0).getMessage() == null) {


                    throw new IllegalStateException("LLM returned empty response");


@@ -137,6 +151,7 @@


                ChatCompletionRequest.Message assistant = resp.getChoices().get(0).getMessage();


                messages.add(assistant);


                sse(emitter, assistant.getContent());


                appendReasoning(reasoningBuffer, assistant == null ? null : assistant.getContent());




                List<ChatCompletionRequest.ToolCall> toolCalls = assistant.getTool_calls();


                if (toolCalls == null || toolCalls.isEmpty()) {


@@ -147,6 +162,7 @@


                    String toolName = tc != null && tc.getFunction() != null ? tc.getFunction().getName() : null;


                    if (toolName == null || toolName.trim().isEmpty()) continue;


                    sse(emitter, "\\n准备调用工具：" + toolName + "\\n");


                    appendReasoning(reasoningBuffer, "\n准备调用工具：" + toolName + "\n");


                    JSONObject args = new JSONObject();


                    if (tc.getFunction() != null && tc.getFunction().getArguments() != null && !tc.getFunction().getArguments().trim().isEmpty()) {


                        try {


@@ -166,6 +182,7 @@


                        output = err;


                    }


                    sse(emitter, "\\n工具返回，正在继续推理...\\n");


                    appendReasoning(reasoningBuffer, "\n工具返回，正在继续推理...\n");


                    ChatCompletionRequest.Message toolMsg = new ChatCompletionRequest.Message();


                    toolMsg.setRole("tool");


                    toolMsg.setTool_call_id(tc == null ? null : tc.getId());


@@ -177,6 +194,7 @@


            }




            sse(emitter, "\\n正在根据数据进行分析...\\n</think>\\n\\n");


            appendReasoning(reasoningBuffer, "\n正在根据数据进行分析...\n");




            ChatCompletionRequest.Message diagnosisMessage = new ChatCompletionRequest.Message();


            diagnosisMessage.setRole("system");


@@ -203,9 +221,10 @@


                        ChatCompletionRequest.Message a = new ChatCompletionRequest.Message();


                        a.setRole("assistant");


                        a.setContent(assistantBuffer.toString());


                        a.setReasoningContent(reasoningBuffer.toString());


                        aiChatStoreService.saveConversation(chatId,


                                buildTitleFromPrompt(userQuestion.getContent()),


                                userQuestion,


                                buildTitleFromPrompt(storedUserQuestion == null ? null : storedUserQuestion.getContent()),


                                storedUserQuestion == null ? userQuestion : storedUserQuestion,


                                a,


                                promptTemplate,


                                usageStats.getPromptTokens(),


@@ -260,6 +279,13 @@


        payload.put("totalTokens", usageStats.getTotalTokens());


        payload.put("llmCallCount", usageStats.getLlmCallCount());


        return payload;


    }




    private void appendReasoning(StringBuilder reasoningBuffer, String text) {


        if (reasoningBuffer == null || text == null || text.isEmpty()) {


            return;


        }


        reasoningBuffer.append(text);


    }




    private void sendLargeText(SseEmitter emitter, String text) {


@@ -378,6 +404,13 @@


        }


    }




    private String buildDiagnoseDisplayPrompt(WcsDiagnosisRequest request) {


        if (request == null || request.getAlarmMessage() == null || request.getAlarmMessage().trim().isEmpty()) {


            return "对当前系统进行巡检";


        }


        return request.getAlarmMessage().trim();


    }




    private static class AgentUsageStats {


        private long promptTokens;


        private long completionTokens;