package com.zy.ai.service.impl;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONObject;
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import com.zy.ai.domain.autotune.AutoTuneApplyResult;
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import com.zy.ai.domain.autotune.AutoTuneTriggerType;
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import com.zy.ai.entity.AiPromptTemplate;
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import com.zy.ai.entity.ChatCompletionRequest;
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import com.zy.ai.entity.ChatCompletionResponse;
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import com.zy.ai.enums.AiPromptScene;
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import com.zy.ai.mcp.service.SpringAiMcpToolManager;
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import com.zy.ai.service.AiPromptTemplateService;
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import com.zy.ai.service.AutoTuneAgentService;
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import com.zy.ai.service.LlmChatService;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Service;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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@Slf4j
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@Service
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@RequiredArgsConstructor
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public class AutoTuneAgentServiceImpl implements AutoTuneAgentService {
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private static final int MAX_TOOL_ROUNDS = 10;
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private static final double TEMPERATURE = 0.2D;
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private static final int MAX_TOKENS = 2048;
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private static final String TOOL_GET_SNAPSHOT = "wcs_local_dispatch_get_auto_tune_snapshot";
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private static final String TOOL_GET_RECENT_JOBS = "wcs_local_dispatch_get_recent_auto_tune_jobs";
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private static final String TOOL_APPLY_CHANGES = "wcs_local_dispatch_apply_auto_tune_changes";
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private static final String TOOL_REVERT_LAST_JOB = "wcs_local_dispatch_revert_last_auto_tune_job";
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private static final String MCP_STATUS_SUCCESS = "success";
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private static final String MCP_STATUS_REJECTED = "rejected";
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private static final String MCP_STATUS_FAILED = "failed";
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private static final Set<String> ALLOWED_TOOL_NAMES = Set.of(
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TOOL_GET_SNAPSHOT,
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TOOL_GET_RECENT_JOBS,
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TOOL_APPLY_CHANGES,
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TOOL_REVERT_LAST_JOB
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);
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private final LlmChatService llmChatService;
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private final SpringAiMcpToolManager mcpToolManager;
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private final AiPromptTemplateService aiPromptTemplateService;
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@Override
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public AutoTuneAgentResult runAutoTune(String triggerType) {
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String normalizedTriggerType = normalizeTriggerType(triggerType);
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UsageCounter usageCounter = new UsageCounter();
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RunState runState = new RunState();
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boolean maxRoundsReached = false;
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StringBuilder summaryBuffer = new StringBuilder();
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try {
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List<Object> tools = filterAllowedTools(mcpToolManager.buildOpenAiTools());
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if (tools == null || tools.isEmpty()) {
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throw new IllegalStateException("No auto-tune MCP tools registered");
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}
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AiPromptTemplate promptTemplate = aiPromptTemplateService.resolvePublished(AiPromptScene.AUTO_TUNE_DISPATCH.getCode());
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List<ChatCompletionRequest.Message> messages = buildMessages(promptTemplate, normalizedTriggerType);
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for (int round = 0; round < MAX_TOOL_ROUNDS; round++) {
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ChatCompletionResponse response = llmChatService.chatCompletionOrThrow(messages, TEMPERATURE, MAX_TOKENS, tools);
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ChatCompletionRequest.Message assistantMessage = extractAssistantMessage(response);
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usageCounter.add(response.getUsage());
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messages.add(assistantMessage);
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appendSummary(summaryBuffer, assistantMessage.getContent());
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List<ChatCompletionRequest.ToolCall> toolCalls = assistantMessage.getTool_calls();
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if (toolCalls == null || toolCalls.isEmpty()) {
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return buildResult(runState.isSuccessful(), normalizedTriggerType, summaryBuffer, runState,
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usageCounter, false);
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}
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for (ChatCompletionRequest.ToolCall toolCall : toolCalls) {
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Object toolOutput = callMountedTool(toolCall, runState, normalizedTriggerType);
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messages.add(buildToolMessage(toolCall, toolOutput));
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}
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}
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maxRoundsReached = true;
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return buildResult(false, normalizedTriggerType, summaryBuffer, runState, usageCounter, maxRoundsReached);
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} catch (Exception exception) {
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log.error("Auto tune agent stopped with error", exception);
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appendSummary(summaryBuffer, "自动调参 Agent 执行异常: " + exception.getMessage());
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runState.markToolError();
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return buildResult(false, normalizedTriggerType, summaryBuffer, runState, usageCounter, maxRoundsReached);
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}
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}
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private List<ChatCompletionRequest.Message> buildMessages(AiPromptTemplate promptTemplate, String triggerType) {
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List<ChatCompletionRequest.Message> messages = new ArrayList<>();
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ChatCompletionRequest.Message systemMessage = new ChatCompletionRequest.Message();
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systemMessage.setRole("system");
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systemMessage.setContent(promptTemplate == null ? "" : promptTemplate.getContent());
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messages.add(systemMessage);
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ChatCompletionRequest.Message userMessage = new ChatCompletionRequest.Message();
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userMessage.setRole("user");
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userMessage.setContent("请执行一次后台 WCS 自动调参。triggerType=" + triggerType
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+ "。必须先调用 wcs_local_dispatch_get_auto_tune_snapshot 获取事实；如需提交变更，"
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+ "必须先 dry-run，再根据 dry-run 结果决定是否实际应用；实际应用时必须带上 dry-run 返回的 dryRunToken。"
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+ "禁止在没有收到 wcs_local_dispatch_apply_auto_tune_changes 或 wcs_local_dispatch_revert_last_auto_tune_job 工具返回结果时声称已试算、已应用或已回滚。"
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+ "必须检查 taskSnapshot.stationLimitBlockedTasks 和 taskSnapshot.outboundTaskSamples 中的 systemMsg、wrkSts、batchSeq，判断是否存在被上限挡住的早序出库任务。"
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+ "所有提交给 wcs_local_dispatch_apply_auto_tune_changes 的 changes 都必须先匹配 snapshot.ruleSnapshot 中对应 targetType/targetKey 的规则。"
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+ "每个参数都必须满足 minValue、maxValue 或 dynamicMaxValue、maxStep、cooldownMinutes 和规则 note；找不到规则或无法证明动态上限时禁止提交。"
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+ "dry-run 返回 success=false 或 rejectCount>0 时，必须停止实际应用并说明拒绝原因，或重新提交完全合法的 dry-run。"
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+ "不要输出自由格式 JSON 供外层解析。");
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messages.add(userMessage);
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return messages;
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}
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private ChatCompletionRequest.Message extractAssistantMessage(ChatCompletionResponse response) {
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if (response == null || response.getChoices() == null || response.getChoices().isEmpty()) {
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throw new IllegalStateException("LLM returned empty response");
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}
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ChatCompletionRequest.Message message = response.getChoices().get(0).getMessage();
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if (message == null) {
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throw new IllegalStateException("LLM returned empty message");
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}
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return message;
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}
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private Object callMountedTool(ChatCompletionRequest.ToolCall toolCall, RunState runState, String triggerType) {
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String toolName = resolveToolName(toolCall);
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if (!ALLOWED_TOOL_NAMES.contains(toolName)) {
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throw new IllegalArgumentException("Disallowed auto-tune MCP tool: " + toolName);
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}
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JSONObject arguments = parseArguments(toolCall);
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applySchedulerTriggerType(toolName, triggerType, arguments);
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long startTimeMillis = System.currentTimeMillis();
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try {
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Object output = mcpToolManager.callTool(toolName, arguments);
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runState.markToolSuccess(toolName);
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recordMutationResult(toolName, arguments, output, runState);
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if (TOOL_APPLY_CHANGES.equals(toolName) && isRejectedApplyResult(output)) {
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runState.markApplyRejected();
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Object wrappedOutput = withRejectedApplyInstruction(output);
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runState.addMcpCall(buildMcpCall(toolName, arguments, wrappedOutput, startTimeMillis, null));
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return wrappedOutput;
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}
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runState.addMcpCall(buildMcpCall(toolName, arguments, output, startTimeMillis, null));
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return output;
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} catch (Exception exception) {
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runState.addMcpCall(buildMcpCall(toolName, arguments, null, startTimeMillis, exception));
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throw new IllegalStateException("Auto-tune MCP tool failed: " + toolName + ", " + exception.getMessage(),
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exception);
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}
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}
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private AutoTuneAgentService.McpCallResult buildMcpCall(String toolName,
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JSONObject arguments,
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Object output,
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long startTimeMillis,
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Exception exception) {
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AutoTuneAgentService.McpCallResult call = new AutoTuneAgentService.McpCallResult();
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call.setToolName(toolName);
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call.setDryRun(resolveDryRun(arguments));
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call.setDurationMs(Math.max(0L, System.currentTimeMillis() - startTimeMillis));
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call.setRequestJson(JSON.toJSONString(arguments == null ? new JSONObject() : arguments));
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if (exception != null) {
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call.setStatus(MCP_STATUS_FAILED);
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call.setErrorMessage(exception.getMessage());
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return call;
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}
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call.setStatus(resolveMcpStatus(output));
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call.setResponseJson(JSON.toJSONString(output));
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call.setApplyJobId(resolveApplyJobId(output));
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call.setSuccessCount(resolveSuccessCount(output));
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call.setRejectCount(resolveRejectCount(output));
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if (MCP_STATUS_REJECTED.equals(call.getStatus())) {
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call.setErrorMessage(resolveApplyError(output));
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}
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return call;
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}
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private Boolean resolveDryRun(JSONObject arguments) {
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if (arguments == null || !arguments.containsKey("dryRun")) {
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return null;
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}
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return Boolean.TRUE.equals(arguments.getBoolean("dryRun"));
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}
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private String resolveMcpStatus(Object output) {
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if (isRejectedApplyResult(output)) {
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return MCP_STATUS_REJECTED;
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}
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return MCP_STATUS_SUCCESS;
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}
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private Long resolveApplyJobId(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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return ((AutoTuneApplyResult) output).getJobId();
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}
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if (output instanceof Map<?, ?>) {
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Object jobId = ((Map<?, ?>) output).get("jobId");
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if (jobId instanceof Number) {
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return ((Number) jobId).longValue();
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}
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if (jobId != null) {
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try {
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return Long.parseLong(String.valueOf(jobId));
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} catch (NumberFormatException ignore) {
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return null;
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}
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}
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}
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return null;
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}
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private Integer resolveSuccessCount(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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return safeCount(((AutoTuneApplyResult) output).getSuccessCount());
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}
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if (output instanceof Map<?, ?>) {
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return safeCount(((Map<?, ?>) output).get("successCount"));
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}
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return null;
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}
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private Integer resolveRejectCount(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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return safeCount(((AutoTuneApplyResult) output).getRejectCount());
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}
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if (output instanceof Map<?, ?>) {
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return safeCount(((Map<?, ?>) output).get("rejectCount"));
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}
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return null;
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}
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private String resolveApplyError(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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AutoTuneApplyResult result = (AutoTuneApplyResult) output;
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return firstRejectReason(result.getChanges(), result.getSummary());
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}
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if (output instanceof Map<?, ?>) {
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Map<?, ?> result = (Map<?, ?>) output;
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Object changes = result.get("changes");
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if (changes instanceof List<?>) {
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for (Object change : (List<?>) changes) {
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if (change instanceof Map<?, ?>) {
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Object rejectReason = ((Map<?, ?>) change).get("rejectReason");
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if (!isBlank(rejectReason == null ? null : String.valueOf(rejectReason))) {
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return String.valueOf(rejectReason);
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}
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}
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}
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}
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Object summary = result.get("summary");
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return summary == null ? null : String.valueOf(summary);
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}
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return null;
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}
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private String firstRejectReason(List<?> changes, String fallback) {
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if (changes != null) {
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for (Object change : changes) {
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String rejectReason = null;
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if (change instanceof com.zy.ai.entity.AiAutoTuneChange) {
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rejectReason = ((com.zy.ai.entity.AiAutoTuneChange) change).getRejectReason();
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} else if (change instanceof Map<?, ?>) {
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Object value = ((Map<?, ?>) change).get("rejectReason");
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rejectReason = value == null ? null : String.valueOf(value);
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}
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if (!isBlank(rejectReason)) {
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return rejectReason;
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}
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}
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}
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return fallback;
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}
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private void recordMutationResult(String toolName, JSONObject arguments, Object output, RunState runState) {
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if (TOOL_APPLY_CHANGES.equals(toolName)) {
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boolean dryRun = Boolean.TRUE.equals(arguments.getBoolean("dryRun"));
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if (!dryRun) {
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runState.markActualApply();
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runState.addCounts(output);
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} else if (isRejectedApplyResult(output)) {
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runState.addCounts(output);
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}
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return;
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}
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if (TOOL_REVERT_LAST_JOB.equals(toolName)) {
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runState.markRollback();
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runState.addCounts(output);
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}
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}
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private boolean isRejectedApplyResult(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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AutoTuneApplyResult result = (AutoTuneApplyResult) output;
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return !Boolean.TRUE.equals(result.getSuccess()) || safeCount(result.getRejectCount()) > 0;
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}
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if (output instanceof Map<?, ?>) {
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Map<?, ?> result = (Map<?, ?>) output;
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if (!isApplyResultShape(result)) {
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return false;
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}
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if (!Boolean.TRUE.equals(result.get("success"))) {
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return true;
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}
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return safeCount(result.get("rejectCount")) > 0 || hasRejectedChange(result.get("changes"));
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}
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return false;
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}
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private boolean isApplyResultShape(Map<?, ?> result) {
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return result.containsKey("success")
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|| result.containsKey("rejectCount")
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|| result.containsKey("changes")
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|| result.containsKey("dryRun")
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|| result.containsKey("dryRunToken");
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}
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private Object withRejectedApplyInstruction(Object output) {
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JSONObject wrappedOutput = JSON.parseObject(JSON.toJSONString(output));
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wrappedOutput.put("agentInstruction",
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"本次 dry-run/apply 未完全通过，禁止继续实际应用。必须读取 changes[].rejectReason，"
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+ "并回到 snapshot.ruleSnapshot 按每个目标参数的 minValue、maxValue/dynamicMaxValue、maxStep、cooldownMinutes 和 note 重新校验。"
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+ "只有所有 changes 均满足规则并通过 dry-run 后，才允许实际应用。");
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return wrappedOutput;
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}
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private boolean hasRejectedChange(Object changes) {
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if (!(changes instanceof List<?>)) {
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return false;
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}
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for (Object change : (List<?>) changes) {
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if (!(change instanceof Map<?, ?>)) {
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continue;
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}
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Object status = ((Map<?, ?>) change).get("resultStatus");
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if ("rejected".equals(status) || "failed".equals(status)) {
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return true;
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}
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}
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return false;
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}
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private static int safeCount(Object value) {
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if (value instanceof Number) {
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return ((Number) value).intValue();
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}
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if (value == null) {
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return 0;
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}
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try {
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return Integer.parseInt(String.valueOf(value));
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} catch (NumberFormatException ignore) {
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return 0;
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}
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}
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private void applySchedulerTriggerType(String toolName, String triggerType, JSONObject arguments) {
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if (!TOOL_APPLY_CHANGES.equals(toolName)) {
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return;
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}
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if (!AutoTuneTriggerType.AUTO.getCode().equals(triggerType)) {
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return;
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}
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arguments.put("triggerType", AutoTuneTriggerType.AUTO.getCode());
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}
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private ChatCompletionRequest.Message buildToolMessage(ChatCompletionRequest.ToolCall toolCall, Object toolOutput) {
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ChatCompletionRequest.Message toolMessage = new ChatCompletionRequest.Message();
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toolMessage.setRole("tool");
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toolMessage.setTool_call_id(toolCall == null ? null : toolCall.getId());
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toolMessage.setContent(JSON.toJSONString(toolOutput));
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return toolMessage;
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}
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private String resolveToolName(ChatCompletionRequest.ToolCall toolCall) {
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if (toolCall == null || toolCall.getFunction() == null || isBlank(toolCall.getFunction().getName())) {
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throw new IllegalArgumentException("missing tool name");
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}
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return toolCall.getFunction().getName();
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}
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private JSONObject parseArguments(ChatCompletionRequest.ToolCall toolCall) {
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String rawArguments = toolCall == null || toolCall.getFunction() == null
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? null
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: toolCall.getFunction().getArguments();
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if (isBlank(rawArguments)) {
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return new JSONObject();
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}
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try {
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return JSON.parseObject(rawArguments);
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} catch (Exception exception) {
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JSONObject arguments = new JSONObject();
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arguments.put("_raw", rawArguments);
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return arguments;
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}
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}
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private AutoTuneAgentResult buildResult(boolean success,
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String triggerType,
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StringBuilder summaryBuffer,
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RunState runState,
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UsageCounter usageCounter,
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boolean maxRoundsReached) {
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AutoTuneAgentResult result = new AutoTuneAgentResult();
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result.setSuccess(success);
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result.setTriggerType(triggerType);
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result.setToolCallCount(runState.getToolCallCount());
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result.setLlmCallCount(usageCounter.getLlmCallCount());
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result.setPromptTokens(usageCounter.getPromptTokens());
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result.setCompletionTokens(usageCounter.getCompletionTokens());
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result.setTotalTokens(usageCounter.getTotalTokens());
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result.setMaxRoundsReached(maxRoundsReached);
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result.setActualApplyCalled(runState.isActualApplyCalled());
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result.setRollbackCalled(runState.isRollbackCalled());
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result.setSuccessCount(runState.getSuccessCount());
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result.setRejectCount(runState.getRejectCount());
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result.setMcpCalls(runState.getMcpCalls());
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String summary = summaryBuffer == null ? "" : summaryBuffer.toString().trim();
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if (runState.getToolCallCount() <= 0 && runState.getMcpCallCount() <= 0) {
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summary = "自动调参 Agent 未调用任何允许的 MCP 工具，未执行调参。" + (summary.isEmpty() ? "" : "\n" + summary);
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} else if (!runState.isSnapshotCalled()) {
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summary = summary + "\n自动调参 Agent 未调用快照工具，结果不完整。";
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}
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if (runState.hasToolError()) {
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summary = summary + "\n自动调参 Agent 存在工具调用错误，已标记为失败。";
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}
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if (runState.hasApplyRejected()) {
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summary = summary + "\n自动调参 Agent 存在被拒绝的 dry-run/apply 结果，未视为成功调参。";
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}
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if (success && !runState.hasActualMutation()) {
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summary = "自动调参 Agent 未调用实际应用或回滚工具，未修改运行参数。"
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+ (summary.isEmpty() ? "" : "\n" + summary);
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}
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if (maxRoundsReached) {
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summary = summary + "\n自动调参 Agent 达到最大工具调用轮次，已停止。";
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}
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result.setSummary(summary);
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return result;
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}
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private List<Object> filterAllowedTools(List<Object> tools) {
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List<Object> allowedTools = new ArrayList<>();
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if (tools == null || tools.isEmpty()) {
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return allowedTools;
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}
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for (Object tool : tools) {
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String toolName = resolveOpenAiToolName(tool);
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if (ALLOWED_TOOL_NAMES.contains(toolName)) {
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allowedTools.add(tool);
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}
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}
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return allowedTools;
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}
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private String resolveOpenAiToolName(Object tool) {
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if (!(tool instanceof Map<?, ?> toolMap)) {
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return null;
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}
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Object function = toolMap.get("function");
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if (!(function instanceof Map<?, ?> functionMap)) {
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return null;
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}
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Object name = functionMap.get("name");
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return name == null ? null : String.valueOf(name);
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}
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private void appendSummary(StringBuilder summaryBuffer, String content) {
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if (summaryBuffer == null || isBlank(content)) {
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return;
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}
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if (summaryBuffer.length() > 0) {
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summaryBuffer.append('\n');
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}
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summaryBuffer.append(content.trim());
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}
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private String normalizeTriggerType(String triggerType) {
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return isBlank(triggerType) ? "agent" : triggerType.trim();
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}
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private boolean isBlank(String value) {
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return value == null || value.trim().isEmpty();
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}
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private static class UsageCounter {
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private long promptTokens;
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private long completionTokens;
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private long totalTokens;
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private int llmCallCount;
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void add(ChatCompletionResponse.Usage usage) {
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llmCallCount++;
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if (usage == null) {
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return;
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}
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promptTokens += usage.getPromptTokens() == null ? 0L : usage.getPromptTokens();
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completionTokens += usage.getCompletionTokens() == null ? 0L : usage.getCompletionTokens();
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totalTokens += usage.getTotalTokens() == null ? 0L : usage.getTotalTokens();
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}
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long getPromptTokens() {
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return promptTokens;
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}
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long getCompletionTokens() {
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return completionTokens;
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}
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long getTotalTokens() {
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return totalTokens;
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}
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int getLlmCallCount() {
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return llmCallCount;
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}
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}
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private static class RunState {
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private int toolCallCount;
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private boolean snapshotCalled;
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private boolean toolError;
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private boolean applyRejected;
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private boolean actualApplyCalled;
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private boolean rollbackCalled;
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private int successCount;
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private int rejectCount;
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private final List<AutoTuneAgentService.McpCallResult> mcpCalls = new ArrayList<>();
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void markToolSuccess(String toolName) {
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toolCallCount++;
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if (TOOL_GET_SNAPSHOT.equals(toolName)) {
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snapshotCalled = true;
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}
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}
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void markToolError() {
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toolError = true;
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}
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void markApplyRejected() {
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applyRejected = true;
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}
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void markActualApply() {
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actualApplyCalled = true;
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}
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void markRollback() {
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rollbackCalled = true;
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}
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void addCounts(Object output) {
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if (output instanceof AutoTuneApplyResult) {
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AutoTuneApplyResult result = (AutoTuneApplyResult) output;
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successCount += safeCount(result.getSuccessCount());
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rejectCount += safeCount(result.getRejectCount());
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return;
|
}
|
if (output instanceof Map<?, ?>) {
|
Map<?, ?> result = (Map<?, ?>) output;
|
successCount += safeCount(result.get("successCount"));
|
rejectCount += safeCount(result.get("rejectCount"));
|
}
|
}
|
|
void addMcpCall(AutoTuneAgentService.McpCallResult mcpCall) {
|
if (mcpCall == null) {
|
return;
|
}
|
mcpCall.setCallSeq(mcpCalls.size() + 1);
|
mcpCalls.add(mcpCall);
|
}
|
|
boolean isSuccessful() {
|
return toolCallCount > 0 && snapshotCalled && !toolError && !applyRejected;
|
}
|
|
int getToolCallCount() {
|
return toolCallCount;
|
}
|
|
int getMcpCallCount() {
|
return mcpCalls.size();
|
}
|
|
boolean isSnapshotCalled() {
|
return snapshotCalled;
|
}
|
|
boolean hasToolError() {
|
return toolError;
|
}
|
|
boolean hasApplyRejected() {
|
return applyRejected;
|
}
|
|
boolean isActualApplyCalled() {
|
return actualApplyCalled;
|
}
|
|
boolean isRollbackCalled() {
|
return rollbackCalled;
|
}
|
|
boolean hasActualMutation() {
|
return actualApplyCalled || rollbackCalled;
|
}
|
|
int getSuccessCount() {
|
return successCount;
|
}
|
|
int getRejectCount() {
|
return rejectCount;
|
}
|
|
List<AutoTuneAgentService.McpCallResult> getMcpCalls() {
|
return new ArrayList<>(mcpCalls);
|
}
|
}
|
}
|
