新增AI对话和数据处理接口，优化消息发送逻辑以支持群组和个人消息的处理，提升聊天功能的灵活性和用户体验。

Touchkebao/src/api/ai.ts

@@ -1,5 +1,42 @@
 import axios from "axios";
 import { useUserStore } from "@/store/module/user";
+import { request } from "@/api/request";
+
+//ai对话接口
+export interface AiChatParams {
+  friendId: number;
+  wechatAccountId: number;
+  [property: string]: any;
+}
+
+export function aiChat(params: AiChatParams) {
+  return request("/v1/kefu/ai/chat", params, "POST");
+}
+
+//soket消息传入数据中心
+export interface DataProcessingParams {
+  /**
+   * 群消息
+   */
+  chatroomMessage?: string[];
+  /**
+   * 个人信息
+   */
+  friendMessage?: string[];
+  /**
+   * 类型固定值
+   */
+  type?: string;
+  /**
+   * 公共
+   */
+  wechatAccountId?: string;
+  [property: string]: any;
+}
+
+export function dataProcessing(params: DataProcessingParams) {
+  return request("/v1/kefu/dataProcessing", params, "POST");
+}
 
 /**
  * AI文本生成接口
@@ -32,7 +69,7 @@ export async function generateAiText(
           Authorization: token ? `Bearer ${token}` : undefined,
         },
         timeout: 30000, // AI生成可能需要更长时间
-      }
+      },
     );
 
     // 新接口返回：{ code: 200, msg: 'success', data: '...公告内容...' }

Touchkebao/src/store/module/weChat/weChat.ts

@@ -6,7 +6,7 @@ import {
   getGroupMembers,
 } from "@/pages/pc/ckbox/api";
 import { WeChatState } from "./weChat.data";
-
+import { dataProcessing, aiChat } from "@/api/ai";
 import {
   likeListItem,
   CommentItem,
@@ -312,6 +312,26 @@ export const useWeChatStore = create<WeChatState>()(
           set(state => ({
             currentMessages: [...state.currentMessages, message],
           }));
+          //把数据传到存客宝
+          const params: any = {
+            type: "CmdNewMessage",
+            wechatAccountId: currentContract.wechatAccountId,
+          };
+          if (isWechatGroup) {
+            params.chatroomMessage = [message];
+          } else {
+            params.friendMessage = [message];
+          }
+          const dataProcessingResult = await dataProcessing(params);
+          //如果成功，就请求ai对话接口
+          if (dataProcessingResult) {
+            const messageContent = await aiChat({
+              friendId: getMessageId,
+              wechatAccountId: currentContract.wechatAccountId,
+              message: message,
+            });
+            console.log("ai对话接口返回", messageContent);
+          }
         } else {
           // 更新其他聊天的未读消息数
           const chatSessions = useCkChatStore.getState().chatSessions;