From b2deb1cc93b3d2c3fb9dc795e3589e1c62329a8f Mon Sep 17 00:00:00 2001
From: 1 <1@123>
Date: 星期一, 23 三月 2026 14:07:29 +0800
Subject: [PATCH] lsh#站点同步至MES
---
rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java | 560 +++----------------------------------------------------
1 files changed, 39 insertions(+), 521 deletions(-)
diff --git a/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java b/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
index 1ce1279..1d6da64 100644
--- a/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
+++ b/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
@@ -1,111 +1,81 @@
package com.vincent.rsf.server.ai.service.impl;
-import com.fasterxml.jackson.databind.ObjectMapper;
-import com.vincent.rsf.framework.common.Cools;
-import com.vincent.rsf.framework.exception.CoolException;
import com.vincent.rsf.server.ai.config.AiDefaults;
-import com.vincent.rsf.server.ai.dto.AiChatDoneDto;
-import com.vincent.rsf.server.ai.dto.AiChatErrorDto;
import com.vincent.rsf.server.ai.dto.AiChatMemoryDto;
-import com.vincent.rsf.server.ai.dto.AiChatMessageDto;
+import com.vincent.rsf.server.ai.dto.AiChatModelOptionDto;
import com.vincent.rsf.server.ai.dto.AiChatRequest;
import com.vincent.rsf.server.ai.dto.AiChatRuntimeDto;
-import com.vincent.rsf.server.ai.dto.AiChatStatusDto;
import com.vincent.rsf.server.ai.dto.AiChatSessionDto;
import com.vincent.rsf.server.ai.dto.AiChatSessionPinRequest;
import com.vincent.rsf.server.ai.dto.AiChatSessionRenameRequest;
import com.vincent.rsf.server.ai.dto.AiResolvedConfig;
-import com.vincent.rsf.server.ai.entity.AiParam;
-import com.vincent.rsf.server.ai.entity.AiPrompt;
-import com.vincent.rsf.server.ai.entity.AiChatSession;
-import com.vincent.rsf.server.ai.enums.AiErrorCategory;
-import com.vincent.rsf.server.ai.exception.AiChatException;
-import com.vincent.rsf.server.ai.service.AiChatService;
import com.vincent.rsf.server.ai.service.AiChatMemoryService;
+import com.vincent.rsf.server.ai.service.AiChatService;
import com.vincent.rsf.server.ai.service.AiConfigResolverService;
-import com.vincent.rsf.server.ai.service.McpMountRuntimeFactory;
-import io.micrometer.observation.ObservationRegistry;
+import com.vincent.rsf.server.ai.service.AiParamService;
+import com.vincent.rsf.server.ai.service.impl.chat.AiChatOrchestrator;
+import com.vincent.rsf.server.ai.service.impl.chat.AiChatRuntimeAssembler;
+import com.vincent.rsf.server.ai.store.AiConversationCacheStore;
import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.ai.chat.messages.AssistantMessage;
-import org.springframework.ai.chat.messages.Message;
-import org.springframework.ai.chat.messages.SystemMessage;
-import org.springframework.ai.chat.messages.UserMessage;
-import org.springframework.ai.chat.metadata.ChatResponseMetadata;
-import org.springframework.ai.chat.metadata.Usage;
-import org.springframework.ai.chat.model.ChatResponse;
-import org.springframework.ai.chat.prompt.Prompt;
-import org.springframework.ai.model.tool.DefaultToolCallingManager;
-import org.springframework.ai.model.tool.ToolCallingManager;
-import org.springframework.ai.openai.OpenAiChatModel;
-import org.springframework.ai.openai.OpenAiChatOptions;
-import org.springframework.ai.openai.api.OpenAiApi;
-import org.springframework.ai.tool.ToolCallback;
-import org.springframework.ai.tool.execution.DefaultToolExecutionExceptionProcessor;
-import org.springframework.ai.tool.resolution.SpringBeanToolCallbackResolver;
-import org.springframework.ai.util.json.schema.SchemaType;
-import org.springframework.context.support.GenericApplicationContext;
-import org.springframework.http.MediaType;
-import org.springframework.http.client.SimpleClientHttpRequestFactory;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Service;
-import org.springframework.util.StringUtils;
-import org.springframework.web.client.RestClient;
-import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
-import reactor.core.publisher.Flux;
-import java.io.IOException;
-import java.time.Instant;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.LinkedHashMap;
import java.util.List;
-import java.util.Map;
import java.util.Objects;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.Executor;
-import java.util.concurrent.atomic.AtomicReference;
-@Slf4j
@Service
@RequiredArgsConstructor
public class AiChatServiceImpl implements AiChatService {
private final AiConfigResolverService aiConfigResolverService;
private final AiChatMemoryService aiChatMemoryService;
- private final McpMountRuntimeFactory mcpMountRuntimeFactory;
- private final GenericApplicationContext applicationContext;
- private final ObservationRegistry observationRegistry;
- private final ObjectMapper objectMapper;
+ private final AiParamService aiParamService;
+ private final AiConversationCacheStore aiConversationCacheStore;
+ private final AiChatRuntimeAssembler aiChatRuntimeAssembler;
+ private final AiChatOrchestrator aiChatOrchestrator;
@Qualifier("aiChatTaskExecutor")
private final Executor aiChatTaskExecutor;
@Override
- public AiChatRuntimeDto getRuntime(String promptCode, Long sessionId, Long userId, Long tenantId) {
- AiResolvedConfig config = aiConfigResolverService.resolve(promptCode, tenantId);
+ public AiChatRuntimeDto getRuntime(String promptCode, Long sessionId, Long aiParamId, Long userId, Long tenantId) {
+ AiResolvedConfig config = aiConfigResolverService.resolve(promptCode, tenantId, aiParamId);
+ AiChatRuntimeDto cached = aiConversationCacheStore.getRuntime(tenantId, userId, config.getPromptCode(), sessionId, aiParamId);
+ if (cached != null) {
+ return cached;
+ }
AiChatMemoryDto memory = aiChatMemoryService.getMemory(userId, tenantId, config.getPromptCode(), sessionId);
- return AiChatRuntimeDto.builder()
- .requestId(null)
- .sessionId(memory.getSessionId())
- .promptCode(config.getPromptCode())
- .promptName(config.getPrompt().getName())
- .model(config.getAiParam().getModel())
- .configuredMcpCount(config.getMcpMounts().size())
- .mountedMcpCount(config.getMcpMounts().size())
- .mountedMcpNames(config.getMcpMounts().stream().map(item -> item.getName()).toList())
- .mountErrors(List.of())
- .memorySummary(memory.getMemorySummary())
- .memoryFacts(memory.getMemoryFacts())
- .recentMessageCount(memory.getRecentMessageCount())
- .persistedMessages(memory.getPersistedMessages())
- .build();
+ List<AiChatModelOptionDto> modelOptions = aiParamService.listChatModelOptions(tenantId);
+ AiChatRuntimeDto runtime = aiChatRuntimeAssembler.buildRuntimeSnapshot(
+ null,
+ memory.getSessionId(),
+ config,
+ modelOptions,
+ config.getMcpMounts().size(),
+ config.getMcpMounts().stream().map(item -> item.getName()).toList(),
+ List.of(),
+ memory
+ );
+ aiConversationCacheStore.cacheRuntime(tenantId, userId, config.getPromptCode(), sessionId, aiParamId, runtime);
+ if (memory.getSessionId() != null && !Objects.equals(memory.getSessionId(), sessionId)) {
+ aiConversationCacheStore.cacheRuntime(tenantId, userId, config.getPromptCode(), memory.getSessionId(), aiParamId, runtime);
+ }
+ return runtime;
}
@Override
public List<AiChatSessionDto> listSessions(String promptCode, String keyword, Long userId, Long tenantId) {
AiResolvedConfig config = aiConfigResolverService.resolve(promptCode, tenantId);
return aiChatMemoryService.listSessions(userId, tenantId, config.getPromptCode(), keyword);
+ }
+
+ @Override
+ public SseEmitter stream(AiChatRequest request, Long userId, Long tenantId) {
+ SseEmitter emitter = new SseEmitter(AiDefaults.SSE_TIMEOUT_MS);
+ CompletableFuture.runAsync(() -> aiChatOrchestrator.executeStream(request, userId, tenantId, emitter), aiChatTaskExecutor);
+ return emitter;
}
@Override
@@ -131,457 +101,5 @@
@Override
public void retainLatestRound(Long sessionId, Long userId, Long tenantId) {
aiChatMemoryService.retainLatestRound(userId, tenantId, sessionId);
- }
-
- @Override
- public SseEmitter stream(AiChatRequest request, Long userId, Long tenantId) {
- SseEmitter emitter = new SseEmitter(AiDefaults.SSE_TIMEOUT_MS);
- CompletableFuture.runAsync(() -> doStream(request, userId, tenantId, emitter), aiChatTaskExecutor);
- return emitter;
- }
-
- private void doStream(AiChatRequest request, Long userId, Long tenantId, SseEmitter emitter) {
- String requestId = request.getRequestId();
- long startedAt = System.currentTimeMillis();
- AtomicReference<Long> firstTokenAtRef = new AtomicReference<>();
- Long sessionId = request.getSessionId();
- String model = null;
- try {
- ensureIdentity(userId, tenantId);
- AiResolvedConfig config = resolveConfig(request, tenantId);
- final String resolvedModel = config.getAiParam().getModel();
- model = resolvedModel;
- AiChatSession session = resolveSession(request, userId, tenantId, config.getPromptCode());
- sessionId = session.getId();
- AiChatMemoryDto memory = loadMemory(userId, tenantId, config.getPromptCode(), session.getId());
- List<AiChatMessageDto> mergedMessages = mergeMessages(memory.getShortMemoryMessages(), request.getMessages());
- try (McpMountRuntimeFactory.McpMountRuntime runtime = createRuntime(config, userId)) {
- emitStrict(emitter, "start", AiChatRuntimeDto.builder()
- .requestId(requestId)
- .sessionId(session.getId())
- .promptCode(config.getPromptCode())
- .promptName(config.getPrompt().getName())
- .model(config.getAiParam().getModel())
- .configuredMcpCount(config.getMcpMounts().size())
- .mountedMcpCount(runtime.getMountedCount())
- .mountedMcpNames(runtime.getMountedNames())
- .mountErrors(runtime.getErrors())
- .memorySummary(memory.getMemorySummary())
- .memoryFacts(memory.getMemoryFacts())
- .recentMessageCount(memory.getRecentMessageCount())
- .persistedMessages(memory.getPersistedMessages())
- .build());
- emitSafely(emitter, "status", AiChatStatusDto.builder()
- .requestId(requestId)
- .sessionId(session.getId())
- .status("STARTED")
- .model(resolvedModel)
- .timestamp(Instant.now().toEpochMilli())
- .elapsedMs(0L)
- .build());
- log.info("AI chat started, requestId={}, userId={}, tenantId={}, sessionId={}, model={}",
- requestId, userId, tenantId, session.getId(), resolvedModel);
-
- Prompt prompt = new Prompt(
- buildPromptMessages(memory, mergedMessages, config.getPrompt(), request.getMetadata()),
- buildChatOptions(config.getAiParam(), runtime.getToolCallbacks(), userId, request.getMetadata())
- );
- OpenAiChatModel chatModel = createChatModel(config.getAiParam());
- if (Boolean.FALSE.equals(config.getAiParam().getStreamingEnabled())) {
- ChatResponse response = invokeChatCall(chatModel, prompt);
- String content = extractContent(response);
- aiChatMemoryService.saveRound(session, userId, tenantId, request.getMessages(), content);
- if (StringUtils.hasText(content)) {
- markFirstToken(firstTokenAtRef, emitter, requestId, session.getId(), resolvedModel, startedAt);
- emitStrict(emitter, "delta", buildMessagePayload("requestId", requestId, "content", content));
- }
- emitDone(emitter, requestId, response.getMetadata(), config.getAiParam().getModel(), session.getId(), startedAt, firstTokenAtRef.get());
- emitSafely(emitter, "status", buildTerminalStatus(requestId, session.getId(), "COMPLETED", resolvedModel, startedAt, firstTokenAtRef.get()));
- log.info("AI chat completed, requestId={}, sessionId={}, elapsedMs={}, firstTokenLatencyMs={}",
- requestId, session.getId(), System.currentTimeMillis() - startedAt, resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()));
- emitter.complete();
- return;
- }
-
- Flux<ChatResponse> responseFlux = invokeChatStream(chatModel, prompt);
- AtomicReference<ChatResponseMetadata> lastMetadata = new AtomicReference<>();
- StringBuilder assistantContent = new StringBuilder();
- try {
- responseFlux.doOnNext(response -> {
- lastMetadata.set(response.getMetadata());
- String content = extractContent(response);
- if (StringUtils.hasText(content)) {
- markFirstToken(firstTokenAtRef, emitter, requestId, session.getId(), resolvedModel, startedAt);
- assistantContent.append(content);
- emitStrict(emitter, "delta", buildMessagePayload("requestId", requestId, "content", content));
- }
- })
- .blockLast();
- } catch (Exception e) {
- throw buildAiException("AI_MODEL_STREAM_ERROR", AiErrorCategory.MODEL, "MODEL_STREAM",
- e == null ? "AI 妯″瀷娴佸紡璋冪敤澶辫触" : e.getMessage(), e);
- }
- aiChatMemoryService.saveRound(session, userId, tenantId, request.getMessages(), assistantContent.toString());
- emitDone(emitter, requestId, lastMetadata.get(), config.getAiParam().getModel(), session.getId(), startedAt, firstTokenAtRef.get());
- emitSafely(emitter, "status", buildTerminalStatus(requestId, session.getId(), "COMPLETED", resolvedModel, startedAt, firstTokenAtRef.get()));
- log.info("AI chat completed, requestId={}, sessionId={}, elapsedMs={}, firstTokenLatencyMs={}",
- requestId, session.getId(), System.currentTimeMillis() - startedAt, resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()));
- emitter.complete();
- }
- } catch (AiChatException e) {
- handleStreamFailure(emitter, requestId, sessionId, model, startedAt, firstTokenAtRef.get(), e);
- } catch (Exception e) {
- handleStreamFailure(emitter, requestId, sessionId, model, startedAt, firstTokenAtRef.get(),
- buildAiException("AI_INTERNAL_ERROR", AiErrorCategory.INTERNAL, "INTERNAL",
- e == null ? "AI 瀵硅瘽澶辫触" : e.getMessage(), e));
- } finally {
- log.debug("AI chat stream finished, requestId={}", requestId);
- }
- }
-
- private void ensureIdentity(Long userId, Long tenantId) {
- if (userId == null) {
- throw buildAiException("AI_AUTH_USER_MISSING", AiErrorCategory.AUTH, "AUTH_VALIDATE", "褰撳墠鐧诲綍鐢ㄦ埛涓嶅瓨鍦�", null);
- }
- if (tenantId == null) {
- throw buildAiException("AI_AUTH_TENANT_MISSING", AiErrorCategory.AUTH, "AUTH_VALIDATE", "褰撳墠绉熸埛涓嶅瓨鍦�", null);
- }
- }
-
- private AiResolvedConfig resolveConfig(AiChatRequest request, Long tenantId) {
- try {
- return aiConfigResolverService.resolve(request.getPromptCode(), tenantId);
- } catch (Exception e) {
- throw buildAiException("AI_CONFIG_RESOLVE_ERROR", AiErrorCategory.CONFIG, "CONFIG_RESOLVE",
- e == null ? "AI 閰嶇疆瑙ｆ瀽澶辫触" : e.getMessage(), e);
- }
- }
-
- private AiChatSession resolveSession(AiChatRequest request, Long userId, Long tenantId, String promptCode) {
- try {
- return aiChatMemoryService.resolveSession(userId, tenantId, promptCode, request.getSessionId(), resolveTitleSeed(request.getMessages()));
- } catch (Exception e) {
- throw buildAiException("AI_SESSION_RESOLVE_ERROR", AiErrorCategory.REQUEST, "SESSION_RESOLVE",
- e == null ? "AI 浼氳瘽瑙ｆ瀽澶辫触" : e.getMessage(), e);
- }
- }
-
- private AiChatMemoryDto loadMemory(Long userId, Long tenantId, String promptCode, Long sessionId) {
- try {
- return aiChatMemoryService.getMemory(userId, tenantId, promptCode, sessionId);
- } catch (Exception e) {
- throw buildAiException("AI_MEMORY_LOAD_ERROR", AiErrorCategory.REQUEST, "MEMORY_LOAD",
- e == null ? "AI 浼氳瘽璁板繂鍔犺浇澶辫触" : e.getMessage(), e);
- }
- }
-
- private McpMountRuntimeFactory.McpMountRuntime createRuntime(AiResolvedConfig config, Long userId) {
- try {
- return mcpMountRuntimeFactory.create(config.getMcpMounts(), userId);
- } catch (Exception e) {
- throw buildAiException("AI_MCP_MOUNT_ERROR", AiErrorCategory.MCP, "MCP_MOUNT",
- e == null ? "MCP 鎸傝浇澶辫触" : e.getMessage(), e);
- }
- }
-
- private ChatResponse invokeChatCall(OpenAiChatModel chatModel, Prompt prompt) {
- try {
- return chatModel.call(prompt);
- } catch (Exception e) {
- throw buildAiException("AI_MODEL_CALL_ERROR", AiErrorCategory.MODEL, "MODEL_CALL",
- e == null ? "AI 妯″瀷璋冪敤澶辫触" : e.getMessage(), e);
- }
- }
-
- private Flux<ChatResponse> invokeChatStream(OpenAiChatModel chatModel, Prompt prompt) {
- try {
- return chatModel.stream(prompt);
- } catch (Exception e) {
- throw buildAiException("AI_MODEL_STREAM_ERROR", AiErrorCategory.MODEL, "MODEL_STREAM_INIT",
- e == null ? "AI 妯″瀷娴佸紡璋冪敤澶辫触" : e.getMessage(), e);
- }
- }
-
- private void markFirstToken(AtomicReference<Long> firstTokenAtRef, SseEmitter emitter, String requestId, Long sessionId, String model, long startedAt) {
- if (!firstTokenAtRef.compareAndSet(null, System.currentTimeMillis())) {
- return;
- }
- emitSafely(emitter, "status", AiChatStatusDto.builder()
- .requestId(requestId)
- .sessionId(sessionId)
- .status("FIRST_TOKEN")
- .model(model)
- .timestamp(Instant.now().toEpochMilli())
- .elapsedMs(System.currentTimeMillis() - startedAt)
- .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()))
- .build());
- }
-
- private AiChatStatusDto buildTerminalStatus(String requestId, Long sessionId, String status, String model, long startedAt, Long firstTokenAt) {
- return AiChatStatusDto.builder()
- .requestId(requestId)
- .sessionId(sessionId)
- .status(status)
- .model(model)
- .timestamp(Instant.now().toEpochMilli())
- .elapsedMs(System.currentTimeMillis() - startedAt)
- .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAt))
- .build();
- }
-
- private Long resolveFirstTokenLatency(long startedAt, Long firstTokenAt) {
- return firstTokenAt == null ? null : Math.max(0L, firstTokenAt - startedAt);
- }
-
- private void handleStreamFailure(SseEmitter emitter, String requestId, Long sessionId, String model, long startedAt, Long firstTokenAt, AiChatException exception) {
- if (isClientAbortException(exception)) {
- log.warn("AI chat aborted by client, requestId={}, sessionId={}, stage={}, message={}",
- requestId, sessionId, exception.getStage(), exception.getMessage());
- emitSafely(emitter, "status", buildTerminalStatus(requestId, sessionId, "ABORTED", model, startedAt, firstTokenAt));
- emitter.completeWithError(exception);
- return;
- }
- log.error("AI chat failed, requestId={}, sessionId={}, category={}, stage={}, message={}",
- requestId, sessionId, exception.getCategory(), exception.getStage(), exception.getMessage(), exception);
- emitSafely(emitter, "status", buildTerminalStatus(requestId, sessionId, "FAILED", model, startedAt, firstTokenAt));
- emitSafely(emitter, "error", AiChatErrorDto.builder()
- .requestId(requestId)
- .sessionId(sessionId)
- .code(exception.getCode())
- .category(exception.getCategory().name())
- .stage(exception.getStage())
- .message(exception.getMessage())
- .timestamp(Instant.now().toEpochMilli())
- .build());
- emitter.completeWithError(exception);
- }
-
- private OpenAiChatModel createChatModel(AiParam aiParam) {
- OpenAiApi openAiApi = buildOpenAiApi(aiParam);
- ToolCallingManager toolCallingManager = DefaultToolCallingManager.builder()
- .observationRegistry(observationRegistry)
- .toolCallbackResolver(new SpringBeanToolCallbackResolver(applicationContext, SchemaType.OPEN_API_SCHEMA))
- .toolExecutionExceptionProcessor(new DefaultToolExecutionExceptionProcessor(false))
- .build();
- return new OpenAiChatModel(
- openAiApi,
- OpenAiChatOptions.builder()
- .model(aiParam.getModel())
- .temperature(aiParam.getTemperature())
- .topP(aiParam.getTopP())
- .maxTokens(aiParam.getMaxTokens())
- .streamUsage(true)
- .build(),
- toolCallingManager,
- org.springframework.retry.support.RetryTemplate.builder().maxAttempts(1).build(),
- observationRegistry
- );
- }
-
- private OpenAiApi buildOpenAiApi(AiParam aiParam) {
- int timeoutMs = aiParam.getTimeoutMs() == null ? AiDefaults.DEFAULT_TIMEOUT_MS : aiParam.getTimeoutMs();
- SimpleClientHttpRequestFactory requestFactory = new SimpleClientHttpRequestFactory();
- requestFactory.setConnectTimeout(timeoutMs);
- requestFactory.setReadTimeout(timeoutMs);
-
- return OpenAiApi.builder()
- .baseUrl(aiParam.getBaseUrl())
- .apiKey(aiParam.getApiKey())
- .restClientBuilder(RestClient.builder().requestFactory(requestFactory))
- .webClientBuilder(WebClient.builder())
- .build();
- }
-
- private OpenAiChatOptions buildChatOptions(AiParam aiParam, ToolCallback[] toolCallbacks, Long userId, Map<String, Object> metadata) {
- if (userId == null) {
- throw buildAiException("AI_AUTH_USER_MISSING", AiErrorCategory.AUTH, "OPTIONS_BUILD", "褰撳墠鐧诲綍鐢ㄦ埛涓嶅瓨鍦�", null);
- }
- OpenAiChatOptions.Builder builder = OpenAiChatOptions.builder()
- .model(aiParam.getModel())
- .temperature(aiParam.getTemperature())
- .topP(aiParam.getTopP())
- .maxTokens(aiParam.getMaxTokens())
- .streamUsage(true)
- .user(String.valueOf(userId));
- if (!Cools.isEmpty(toolCallbacks)) {
- builder.toolCallbacks(Arrays.asList(toolCallbacks));
- }
- Map<String, String> metadataMap = new LinkedHashMap<>();
- if (metadata != null) {
- metadata.forEach((key, value) -> metadataMap.put(key, value == null ? "" : String.valueOf(value)));
- }
- if (!metadataMap.isEmpty()) {
- builder.metadata(metadataMap);
- }
- return builder.build();
- }
-
- private List<Message> buildPromptMessages(AiChatMemoryDto memory, List<AiChatMessageDto> sourceMessages, AiPrompt aiPrompt, Map<String, Object> metadata) {
- if (Cools.isEmpty(sourceMessages)) {
- throw new CoolException("瀵硅瘽娑堟伅涓嶈兘涓虹┖");
- }
- List<Message> messages = new ArrayList<>();
- if (StringUtils.hasText(aiPrompt.getSystemPrompt())) {
- messages.add(new SystemMessage(aiPrompt.getSystemPrompt()));
- }
- if (memory != null && StringUtils.hasText(memory.getMemorySummary())) {
- messages.add(new SystemMessage("鍘嗗彶鎽樿:\n" + memory.getMemorySummary()));
- }
- if (memory != null && StringUtils.hasText(memory.getMemoryFacts())) {
- messages.add(new SystemMessage("鍏抽敭浜嬪疄:\n" + memory.getMemoryFacts()));
- }
- int lastUserIndex = -1;
- for (int i = 0; i < sourceMessages.size(); i++) {
- AiChatMessageDto item = sourceMessages.get(i);
- if (item != null && "user".equalsIgnoreCase(item.getRole())) {
- lastUserIndex = i;
- }
- }
- for (int i = 0; i < sourceMessages.size(); i++) {
- AiChatMessageDto item = sourceMessages.get(i);
- if (item == null || !StringUtils.hasText(item.getContent())) {
- continue;
- }
- String role = item.getRole() == null ? "user" : item.getRole().toLowerCase();
- if ("system".equals(role)) {
- continue;
- }
- String content = item.getContent();
- if ("user".equals(role) && i == lastUserIndex) {
- content = renderUserPrompt(aiPrompt.getUserPromptTemplate(), content, metadata);
- }
- if ("assistant".equals(role)) {
- messages.add(new AssistantMessage(content));
- } else {
- messages.add(new UserMessage(content));
- }
- }
- if (messages.stream().noneMatch(item -> item instanceof UserMessage)) {
- throw new CoolException("鑷冲皯闇�瑕佷竴鏉＄敤鎴锋秷鎭�");
- }
- return messages;
- }
-
- private List<AiChatMessageDto> mergeMessages(List<AiChatMessageDto> persistedMessages, List<AiChatMessageDto> memoryMessages) {
- List<AiChatMessageDto> merged = new ArrayList<>();
- if (!Cools.isEmpty(persistedMessages)) {
- merged.addAll(persistedMessages);
- }
- if (!Cools.isEmpty(memoryMessages)) {
- merged.addAll(memoryMessages);
- }
- if (merged.isEmpty()) {
- throw new CoolException("瀵硅瘽娑堟伅涓嶈兘涓虹┖");
- }
- return merged;
- }
-
- private String resolveTitleSeed(List<AiChatMessageDto> messages) {
- if (Cools.isEmpty(messages)) {
- throw new CoolException("瀵硅瘽娑堟伅涓嶈兘涓虹┖");
- }
- for (int i = messages.size() - 1; i >= 0; i--) {
- AiChatMessageDto item = messages.get(i);
- if (item != null && "user".equalsIgnoreCase(item.getRole()) && StringUtils.hasText(item.getContent())) {
- return item.getContent();
- }
- }
- throw new CoolException("鑷冲皯闇�瑕佷竴鏉＄敤鎴锋秷鎭�");
- }
-
- private String renderUserPrompt(String userPromptTemplate, String content, Map<String, Object> metadata) {
- if (!StringUtils.hasText(userPromptTemplate)) {
- return content;
- }
- String rendered = userPromptTemplate
- .replace("{{input}}", content)
- .replace("{input}", content);
- if (metadata != null) {
- for (Map.Entry<String, Object> entry : metadata.entrySet()) {
- String value = entry.getValue() == null ? "" : String.valueOf(entry.getValue());
- rendered = rendered.replace("{{" + entry.getKey() + "}}", value);
- rendered = rendered.replace("{" + entry.getKey() + "}", value);
- }
- }
- if (Objects.equals(rendered, userPromptTemplate)) {
- return userPromptTemplate + "\n\n" + content;
- }
- return rendered;
- }
-
- private String extractContent(ChatResponse response) {
- if (response == null || response.getResult() == null || response.getResult().getOutput() == null) {
- return null;
- }
- return response.getResult().getOutput().getText();
- }
-
- private void emitDone(SseEmitter emitter, String requestId, ChatResponseMetadata metadata, String fallbackModel, Long sessionId, long startedAt, Long firstTokenAt) {
- Usage usage = metadata == null ? null : metadata.getUsage();
- emitStrict(emitter, "done", AiChatDoneDto.builder()
- .requestId(requestId)
- .sessionId(sessionId)
- .model(metadata != null && StringUtils.hasText(metadata.getModel()) ? metadata.getModel() : fallbackModel)
- .elapsedMs(System.currentTimeMillis() - startedAt)
- .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAt))
- .promptTokens(usage == null ? null : usage.getPromptTokens())
- .completionTokens(usage == null ? null : usage.getCompletionTokens())
- .totalTokens(usage == null ? null : usage.getTotalTokens())
- .build());
- }
-
- private Map<String, String> buildMessagePayload(String... keyValues) {
- Map<String, String> payload = new LinkedHashMap<>();
- if (keyValues == null || keyValues.length == 0) {
- return payload;
- }
- if (keyValues.length % 2 != 0) {
- throw new CoolException("娑堟伅杞借嵎鍙傛暟蹇呴』鎴愬鍑虹幇");
- }
- for (int i = 0; i < keyValues.length; i += 2) {
- payload.put(keyValues[i], keyValues[i + 1] == null ? "" : keyValues[i + 1]);
- }
- return payload;
- }
-
- private void emitStrict(SseEmitter emitter, String eventName, Object payload) {
- try {
- String data = objectMapper.writeValueAsString(payload);
- emitter.send(SseEmitter.event()
- .name(eventName)
- .data(data, MediaType.APPLICATION_JSON));
- } catch (IOException e) {
- throw buildAiException("AI_SSE_EMIT_ERROR", AiErrorCategory.STREAM, "SSE_EMIT", "SSE 杈撳嚭澶辫触: " + e.getMessage(), e);
- }
- }
-
- private void emitSafely(SseEmitter emitter, String eventName, Object payload) {
- try {
- emitStrict(emitter, eventName, payload);
- } catch (Exception e) {
- log.warn("AI SSE event emit skipped, eventName={}, message={}", eventName, e.getMessage());
- }
- }
-
- private AiChatException buildAiException(String code, AiErrorCategory category, String stage, String message, Throwable cause) {
- return new AiChatException(code, category, stage, message, cause);
- }
-
- private boolean isClientAbortException(Throwable throwable) {
- Throwable current = throwable;
- while (current != null) {
- String message = current.getMessage();
- if (message != null) {
- String normalized = message.toLowerCase();
- if (normalized.contains("broken pipe")
- || normalized.contains("connection reset")
- || normalized.contains("forcibly closed")
- || normalized.contains("abort")) {
- return true;
- }
- }
- current = current.getCause();
- }
- return false;
}
}
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