net编写的微信聊天机器人

【实例简介】

net编写的微信聊天机器人，实现了根据聊天内容自动回复

【实例截图】

【核心代码】

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

namespace wxBot.NET
{
    class TulingWXBot:wxbot
    {
        private string tuling_key = "";
        private bool robot_switch = true;
        public TulingWXBot()
        {
            try
            {
                IniHelper _IniHelper = new IniHelper(Environment.CurrentDirectory   "\\conf.ini");
                tuling_key = _IniHelper.ReadValue("main", "key");
                if (tuling_key == "")
                {
                    Console.WriteLine("[ERROR] Please set tuling key . ");
                }
                else
                {
                    Console.WriteLine("[INFO] tuling_key:"   tuling_key);
                }
            }
            catch
            {
            }
        }


        public string tuling_auto_reply(string uid, wxMsg msg)
        {
            if (tuling_key != "")
            {
                string url = "http://www.tuling123.com/openapi/api";
                string user_id = uid.Replace("@", "").Substring(0, 30);
                string data = "key="   tuling_key   "&info="   msg.Content   "&userid="   user_id;
                string r = Http.WebPost(url, data);
                JObject result = JsonConvert.DeserializeObject(r) as JObject;
                string rr = "";
                if (result["code"].ToString() == "100000")
                {
                    rr = result["text"].ToString().Replace("<br>", "  ");
                    rr = rr.Replace("\xa0", " ");
                }
                else if (result["code"].ToString() == "200000")
                {
                    rr = result["url"].ToString();
                }
                else if (result["code"].ToString() == "302000")
                {
                    foreach (JObject k in result["list"])
                    {
                        rr = rr   "【"   k["source"].ToString()   "】 "  
                            k["article"].ToString()   "\t"   k["detailurl"]   "\n";
                    }
                }
                else
                {
                    rr = result["text"].ToString().Replace("<br>", "  ");
                    rr = rr.Replace("\xa0", " ");
                }
                return rr   "  @Auto Reply by Turing Robot@";
            }
            else
            {
                return ("知道啦");
            }
        }


        public override void handle_msg_all(wxMsg msg)
        {
            if (!robot_switch && msg.Type != 1)
            {
                return;
            }
            if (msg.Type == 1 && msg.ContentType == 0)
            {
                auto_switch(msg);
            }
            if (msg.Type == 4 && msg.ContentType == 0)
            {
                send_msg_by_uid(tuling_auto_reply(msg.From, msg), msg.From);
            }
        }

        public void auto_switch(wxMsg msg)
        {
            string[] stop_cmd = { "退下", "走开", "关闭", "关掉", "休息", "滚开" };
            string[] start_cmd = { "出来", "启动", "工作" };
            string msg_data = msg.Content;
            if (robot_switch)
            {
                if (stop_cmd.Contains(msg_data))
                {
                    robot_switch = false;
                    send_msg_by_uid("robot off", msg.From);
                }
            }
            else
            {
                if (start_cmd.Contains(msg_data))
                {
                    robot_switch = true;
                    send_msg_by_uid("robot on", msg.From);
                }
            }
        }
    }
}