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452 lines
21 KiB
452 lines
21 KiB
package com.wok.supportbot.controller;
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import com.wok.supportbot.app.AssistantApp;
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import com.wok.supportbot.config.RoleAccessConfig;
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import com.wok.supportbot.service.ConversationService;
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import com.wok.supportbot.service.CustomerServiceRoleService;
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import com.wok.supportbot.service.CustomerServiceRoleService.RoleScope;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.ai.document.Document;
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import org.springframework.http.MediaType;
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import org.springframework.http.codec.ServerSentEvent;
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import org.springframework.util.StringUtils;
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import org.springframework.web.bind.annotation.DeleteMapping;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.PathVariable;
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import org.springframework.web.bind.annotation.PostMapping;
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import org.springframework.web.bind.annotation.RequestBody;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import org.springframework.web.bind.annotation.RestController;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import reactor.core.publisher.Flux;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Locale;
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import java.util.Map;
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@RestController
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@Slf4j
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@RequestMapping("/ai")
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public class AiController {
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@Resource
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private AssistantApp assistantApp;
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@Resource
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private CustomerServiceRoleService customerServiceRoleService;
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@Resource
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private ConversationService conversationService;
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@Resource
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private RoleAccessConfig roleAccessConfig;
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/**
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* 同步调用 AI 智能客服应用
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*
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* @param message 用户消息
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* @param chatId 会话ID
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* @param roleId 客服角色ID(可选);命中角色时由服务端强制套用该角色人设
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* @param systemPrompt 角色人设兜底(仅在未命中角色时生效)
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* @return AI 回答
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*/
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@GetMapping("/assistant_app/chat/sync")
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public String doChatWithAssistantAppSync(String message, String chatId, Long roleId, String accountId, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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String result = assistantApp.doChat(message, chatId, resolveSystemPrompt(scope, systemPrompt), scope.allowedMcpTools());
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return result;
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}
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/**
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* SSE 流式调用 AI 智能客服应用
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* 返回Flux 响应式对象,并且添加 SSE 对应的 MediaType
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*
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* @param message
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* @param chatId
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* @return
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*/
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@GetMapping(value = "/assistant_app/chat/sse", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
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public Flux<String> doChatWithLoveAppSSE(String message, String chatId, Long roleId, String accountId, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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return assistantApp.doChatByStream(message, chatId, resolveSystemPrompt(scope, systemPrompt), scope.allowedMcpTools());
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}
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/**
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* SSE 流式调用 AI 智能客服应用
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* 返回 Flux 对象,并且设置泛型为 ServerSentEvent。使用这种方式可以省略 MediaType
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*
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* @param message
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* @param chatId
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* @return
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*/
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@GetMapping(value = "/assistant_app/chat/server_sent_event")
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public Flux<ServerSentEvent<String>> doChatWithAssistantAppServerSentEvent(String message, String chatId, Long roleId, String accountId, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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return assistantApp.doChatByStream(message, chatId, resolveSystemPrompt(scope, systemPrompt), scope.allowedMcpTools())
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.map(chunk -> ServerSentEvent.<String>builder()
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.data(chunk)
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.build());
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}
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/**
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* SSE 流式调用 AI 智能客服应用
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* 使用 SSEEmiter,通过 send 方法持续向 SseEmitter 发送消息
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*
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* @param message
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* @param chatId
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* @return
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*/
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@GetMapping(value = "/assistant_app/chat/sse_emitter")
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public SseEmitter doChatWithAssistantAppServerSseEmitter(String message, String chatId, Long roleId, String accountId, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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// 创建一个超时时间较长的 SseEmitter
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SseEmitter sseEmitter = new SseEmitter(180000L); // 3 分钟超时
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// 获取 Flux 响应式数据流并且直接通过订阅推送给 SseEmitter
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assistantApp.doChatByStream(message, chatId, resolveSystemPrompt(scope, systemPrompt), scope.allowedMcpTools())
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.subscribe(chunk -> {
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try {
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sseEmitter.send(chunk);
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} catch (IOException e) {
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sseEmitter.completeWithError(e);
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}
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}, sseEmitter::completeWithError, sseEmitter::complete);
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// 返回
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return sseEmitter;
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}
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/**
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* RAG 知识库同步对话(支持查询重写策略)
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*
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* @param message 用户消息
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* @param chatId 会话ID
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* @param rewriteStrategy 查询重写策略(可选):NONE/REWRITE/TRANSLATION/COMPRESSION/MULTI_QUERY,默认为 MULTI_QUERY
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* @param roleId 客服角色ID(可选);命中角色时由服务端强制限定检索范围与人设,客户端无法跨域
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* @param categoryId 单个分类过滤(仅未命中角色时生效)
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* @param categoryIds 多个分类过滤,逗号分隔(仅未命中角色时生效)
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* @param systemPrompt 角色人设兜底(仅未命中角色时生效)
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* @return AI 回答
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*/
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@GetMapping("/assistant_app/chat/rag/sync")
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public String doChatWithRagSync(String message, String chatId, String rewriteStrategy, Long roleId, String accountId, Long categoryId, String categoryIds, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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String sys = resolveSystemPrompt(scope, systemPrompt);
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// 严格隔离:未授权任何知识库的角色退回普通对话,绝不检索 KB
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if (isKbDenied(scope) || shouldBypassKnowledgeRetrieval(message)) {
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return assistantApp.doChat(message, chatId, sys, scope.allowedMcpTools());
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}
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try {
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return assistantApp.doChatWithRagStrategy(
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message, chatId, normalizeStrategy(rewriteStrategy),
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resolveCategoryIds(scope, categoryId, categoryIds), sys, scope.allowedMcpTools());
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} catch (Exception e) {
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log.error("RAG 对话失败 [strategy={}, chatId={}]: {}", rewriteStrategy, chatId, e.getMessage(), e);
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return "抱歉,知识库检索出现异常,请稍后重试。";
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}
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}
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/**
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* RAG 知识库流式对话(SSE,支持查询重写策略)
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*
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* @param message 用户消息
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* @param chatId 会话ID
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* @param rewriteStrategy 查询重写策略(可选):NONE/REWRITE/TRANSLATION/COMPRESSION/MULTI_QUERY,默认为 MULTI_QUERY
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* @param roleId 客服角色ID(可选);命中角色时由服务端强制限定检索范围与人设,客户端无法跨域
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* @param categoryId 单个分类过滤(仅未命中角色时生效)
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* @param categoryIds 多个分类过滤,逗号分隔(仅未命中角色时生效)
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* @param systemPrompt 角色人设兜底(仅未命中角色时生效)
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* @return 流式 AI 回答
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*/
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@GetMapping(value = "/assistant_app/chat/rag/sse", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
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public Flux<String> doChatWithRagSSE(String message, String chatId, String rewriteStrategy, Long roleId, String accountId, Long categoryId, String categoryIds, String systemPrompt) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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bindConversation(chatId, context);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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String sys = resolveSystemPrompt(scope, systemPrompt);
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// 严格隔离:未授权任何知识库的角色退回普通流式对话,绝不检索 KB
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if (isKbDenied(scope) || shouldBypassKnowledgeRetrieval(message)) {
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return assistantApp.doChatByStream(message, chatId, sys, scope.allowedMcpTools());
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}
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return assistantApp.doChatWithRagStrategyByStream(
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message, chatId, normalizeStrategy(rewriteStrategy),
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resolveCategoryIds(scope, categoryId, categoryIds), sys, scope.allowedMcpTools());
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}
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/**
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* RAG 引用来源:返回本次问题命中的知识库片段(不生成回答),供回答下方展示来源。
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* 复用与 RAG 回答相同的角色范围、分类过滤与查询改写策略,确保来源即答案所依据的片段。
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*/
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@GetMapping("/assistant_app/rag/sources")
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public Map<String, Object> getRagSources(String message, String chatId, String rewriteStrategy,
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Long roleId, String accountId, Long categoryId, String categoryIds) {
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AccountRoleContext context = resolveAccountRole(accountId, roleId);
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RoleScope scope = customerServiceRoleService.getRoleScope(context.roleId());
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if (message == null || message.isBlank() || isKbDenied(scope) || shouldBypassKnowledgeRetrieval(message)) {
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return Map.of("success", true, "data", List.of());
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}
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try {
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List<Long> cats = resolveCategoryIds(scope, categoryId, categoryIds);
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List<Document> docs = assistantApp.retrieveRagSources(message, chatId, normalizeStrategy(rewriteStrategy), cats);
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List<Map<String, Object>> out = new ArrayList<>();
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for (Document doc : docs) {
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Map<String, Object> meta = doc.getMetadata();
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Map<String, Object> item = new LinkedHashMap<>();
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item.put("documentId", meta.get("documentId"));
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item.put("title", meta.get("title"));
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item.put("sourceName", meta.get("sourceName"));
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item.put("chunkIndex", meta.get("chunkIndex"));
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item.put("score", meta.get("distance"));
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String text = doc.getText();
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item.put("snippet", text != null && text.length() > 160 ? text.substring(0, 160) + "…" : text);
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out.add(item);
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}
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return Map.of("success", true, "data", out);
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} catch (Exception e) {
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log.error("获取 RAG 引用来源失败 [strategy={}]: {}", rewriteStrategy, e.getMessage(), e);
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return Map.of("success", true, "data", List.of());
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}
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}
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// ==================== SDK 会话管理接口(带账户归属校验) ====================
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/**
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* SDK 获取会话列表(分页,强制按账户 + 角色过滤)
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* 仅返回属于指定 accountId + roleId 的会话,防止跨账户数据泄露。
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*
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* @param page 页码(默认1)
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* @param size 每页大小(默认20)
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* @param accountId 外部账户 ID(SDK 的 userId,必传)
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* @param roleId 角色 ID(SDK 的 integrateId,必传)
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* @return 分页会话列表
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*/
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@GetMapping("/sdk/conversation/list")
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public Map<String, Object> sdkListConversations(
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@RequestParam(defaultValue = "1") int page,
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@RequestParam(defaultValue = "20") int size,
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@RequestParam String accountId,
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@RequestParam Long roleId) {
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try {
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Map<String, Object> result = conversationService.listConversationsForSdk(page, size, accountId, roleId);
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Map<String, Object> data = new java.util.HashMap<>();
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data.put("success", true);
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data.put("data", result.get("records"));
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data.put("total", result.get("total"));
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data.put("page", result.get("page"));
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data.put("size", result.get("size"));
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data.put("pages", result.get("pages"));
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return data;
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} catch (Exception e) {
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log.error("SDK 会话列表查询失败: accountId={}, roleId={}", accountId, roleId, e);
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return Map.of("success", false, "message", "查询失败:" + e.getMessage());
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}
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}
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/**
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* SDK 获取会话消息(含所有权校验)
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* 先验证会话是否属于指定 accountId + roleId,通过后才返回消息。
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*
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* @param conversationId 会话 ID
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* @param accountId 外部账户 ID(必传)
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* @param roleId 角色 ID(必传)
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* @return 消息列表
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*/
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@GetMapping("/sdk/conversation/{id}/messages")
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public Map<String, Object> sdkGetConversationMessages(
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@PathVariable("id") String conversationId,
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@RequestParam String accountId,
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@RequestParam Long roleId) {
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try {
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List<Map<String, Object>> messages =
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conversationService.getConversationMessagesForSdk(conversationId, accountId, roleId);
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return Map.of("success", true, "data", messages, "total", messages.size());
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} catch (IllegalArgumentException e) {
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return Map.of("success", false, "message", e.getMessage());
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} catch (Exception e) {
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log.error("SDK 会话消息查询失败: conversationId={}, accountId={}", conversationId, accountId, e);
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return Map.of("success", false, "message", "查询失败:" + e.getMessage());
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}
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}
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/**
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* SDK 删除会话(含所有权校验)
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* 仅允许删除属于自己的会话。
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*
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* @param conversationId 会话 ID
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* @param accountId 外部账户 ID(必传)
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* @param roleId 角色 ID(必传)
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* @return 删除结果
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*/
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@DeleteMapping("/sdk/conversation/{id}")
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public Map<String, Object> sdkDeleteConversation(
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@PathVariable("id") String conversationId,
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@RequestParam String accountId,
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@RequestParam Long roleId) {
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try {
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int count = conversationService.deleteConversationForSdk(conversationId, accountId, roleId);
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return Map.of("success", true, "message", "会话删除成功", "deletedMessages", count);
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} catch (IllegalArgumentException e) {
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return Map.of("success", false, "message", e.getMessage());
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} catch (Exception e) {
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log.error("SDK 会话删除失败: conversationId={}, accountId={}", conversationId, accountId, e);
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return Map.of("success", false, "message", "删除失败:" + e.getMessage());
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}
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}
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/**
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* SDK 导出会话(含所有权校验,返回文本内容)
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* 通过 accountId + roleId 验证会话归属后导出。
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*
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* @param conversationId 会话 ID
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* @param accountId 外部账户 ID(必传)
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* @param roleId 角色 ID(必传)
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* @return 导出的会话文本
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*/
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@GetMapping(value = "/sdk/conversation/{id}/export", produces = MediaType.TEXT_PLAIN_VALUE + ";charset=UTF-8")
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public String sdkExportConversation(
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@PathVariable("id") String conversationId,
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@RequestParam String accountId,
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@RequestParam Long roleId) {
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try {
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conversationService.getConversationMessagesForSdk(conversationId, accountId, roleId);
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return conversationService.exportConversation(conversationId);
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} catch (IllegalArgumentException e) {
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return "导出失败:" + e.getMessage();
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} catch (Exception e) {
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log.error("SDK 会话导出失败: conversationId={}, accountId={}", conversationId, accountId, e);
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return "导出失败:" + e.getMessage();
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}
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}
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/**
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* SDK 截断会话(含所有权校验)
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* 用于"编辑历史消息并重发"场景,仅允许截断属于自己的会话。
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*
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* @param conversationId 会话 ID
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* @param body { "userTurn": 第几条用户消息, "accountId": "xxx", "roleId": 1 }
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* @return 逻辑删除的消息条数
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*/
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@PostMapping("/sdk/conversation/{id}/truncate")
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public Map<String, Object> sdkTruncateConversation(
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@PathVariable("id") String conversationId,
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@RequestBody java.util.Map<String, Object> body) {
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try {
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Object rawTurn = body.get("userTurn");
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int userTurn = rawTurn instanceof Number n ? n.intValue() : Integer.parseInt(String.valueOf(rawTurn));
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String accountId = (String) body.get("accountId");
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Long roleId = body.get("roleId") instanceof Number n ? n.longValue() : null;
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int deleted = conversationService.truncateFromUserTurnForSdk(
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conversationId, userTurn, accountId, roleId);
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return Map.of("success", true, "deletedMessages", deleted);
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} catch (IllegalArgumentException e) {
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return Map.of("success", false, "message", e.getMessage());
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} catch (Exception e) {
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log.error("SDK 会话截断失败: conversationId={}", conversationId, e);
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return Map.of("success", false, "message", "截断失败:" + e.getMessage());
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}
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}
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/**
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* 严格隔离模式下,命中角色但未绑定任何知识库分类 ⇒ 拒绝检索任何 KB。
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* 非严格模式下永远返回 false(未绑定 = 可检索全部,沿用通用角色语义)。
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*/
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private boolean isKbDenied(RoleScope scope) {
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return roleAccessConfig.isStrictIsolation() && scope.hasRole() && scope.categoryIds().isEmpty();
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}
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/**
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* 寒暄、感谢、告别这类短消息没有知识库检索意图,直接走普通对话。
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* 否则向量库会被迫召回一个“最相似但实际无关”的片段,导致回答下方出现误导性来源。
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*/
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private boolean shouldBypassKnowledgeRetrieval(String message) {
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if (!StringUtils.hasText(message)) {
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return true;
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}
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|
String normalized = message.trim()
|
|
.toLowerCase(Locale.ROOT)
|
|
.replaceAll("[\\s,。!?!?,.;;::、~~…]+", "");
|
|
if (normalized.isEmpty()) {
|
|
return true;
|
|
}
|
|
if (normalized.length() > 12) {
|
|
return false;
|
|
}
|
|
return List.of(
|
|
"你好", "您好", "hello", "hi", "哈喽", "嗨", "在吗",
|
|
"早上好", "上午好", "中午好", "下午好", "晚上好",
|
|
"谢谢", "感谢", "多谢", "好的", "好", "嗯", "嗯嗯",
|
|
"再见", "拜拜", "辛苦了"
|
|
).contains(normalized);
|
|
}
|
|
|
|
/** 未指定策略时默认 MULTI_QUERY(多路扩展)。 */
|
|
private String normalizeStrategy(String rewriteStrategy) {
|
|
return (rewriteStrategy != null && !rewriteStrategy.isEmpty()) ? rewriteStrategy : "MULTI_QUERY";
|
|
}
|
|
|
|
/**
|
|
* 命中角色时用 roleId 套用角色人设和知识库范围。
|
|
* accountId 是 SDK 宿主侧的外部用户标识,后端不再创建或查询本地账号,也不允许它覆盖 roleId。
|
|
*/
|
|
private AccountRoleContext resolveAccountRole(String accountId, Long fallbackRoleId) {
|
|
String externalAccountId = StringUtils.hasText(accountId) ? accountId.trim() : null;
|
|
return new AccountRoleContext(externalAccountId, fallbackRoleId);
|
|
}
|
|
private void bindConversation(String chatId, AccountRoleContext context) {
|
|
conversationService.bindConversation(chatId, context.accountId(), context.roleId());
|
|
}
|
|
|
|
private String resolveSystemPrompt(RoleScope scope, String fallbackSystemPrompt) {
|
|
if (scope.hasRole() && StringUtils.hasText(scope.systemPrompt())) {
|
|
return scope.systemPrompt();
|
|
}
|
|
return fallbackSystemPrompt;
|
|
}
|
|
|
|
/**
|
|
* 解析最终的检索分类范围。
|
|
* 命中角色时,强制使用角色绑定的分类(忽略客户端传入),防止越权跨域;
|
|
* 未命中角色时,沿用客户端传入的分类(便于直接调试/无角色调用)。
|
|
*/
|
|
private List<Long> resolveCategoryIds(RoleScope scope, Long categoryId, String categoryIds) {
|
|
if (scope.hasRole()) {
|
|
return scope.categoryIds();
|
|
}
|
|
List<Long> ids = parseCategoryIds(categoryIds);
|
|
if (ids.isEmpty() && categoryId != null) {
|
|
return List.of(categoryId);
|
|
}
|
|
return ids;
|
|
}
|
|
|
|
private List<Long> parseCategoryIds(String categoryIds) {
|
|
if (categoryIds == null || categoryIds.isBlank()) {
|
|
return Collections.emptyList();
|
|
}
|
|
return Arrays.stream(categoryIds.split(","))
|
|
.map(String::trim)
|
|
.filter(item -> !item.isEmpty())
|
|
.map(Long::valueOf)
|
|
.filter(id -> id > 0)
|
|
.distinct()
|
|
.toList();
|
|
}
|
|
|
|
private record AccountRoleContext(String accountId, Long roleId) {
|
|
}
|
|
|
|
}
|