微信公众号接入记录(三)

Bertha 。 2021-11-23 15:16 561阅读 0赞

##### 回复消息自定义 #####

**这里调用网上找到的聊天api接口**

*  `reply_help.py`文件

import json
    import random
    import time
    import urllib.request
    import requests
    
    def tl_reply(text_input):
        """ 图灵机器人api :param text_input: :return: """
        api_url = "http://openapi.tuling123.com/openapi/api/v2"
    
        req = { 
            "perception":
                { 
                    "inputText":
                        { 
                            "text": text_input
                        },
    
                    "selfInfo":
                        { 
                            "location":
                                { 
                                    "city": "成都",
                                    "province": "四川",
                                    "street": "天府三街"
                                }
                        }
                },
    
            "userInfo":
                { 
                    "apiKey": "你的apikey",
                    "userId": "OnlyUseAlphabet"
                }
        }
        # print(req)
        # 将字典格式的req编码为utf8
        req = json.dumps(req).encode('utf8')
        # print(req)
    
        http_post = urllib.request.Request(api_url, data=req, headers={ 'content-type': 'application/json'})
        response = urllib.request.urlopen(http_post)
        response_str = response.read().decode('utf8')
        # print(response_str)
        response_dic = json.loads(response_str)
        # print(response_dic)
    
        intent_code = response_dic['intent']['code']
        results_text = response_dic['results'][0]['values']['text']
        print('Turing的回答：')
        print('code：' + str(intent_code))
        print('text：' + results_text)
        return results_text
    
    
    def qyk_reply(text_input):
        """ 青云客智能聊天机器人API :param text_input: 用户的问题 :return: 机器人回答 """
        api_url = f'http://api.qingyunke.com/api.php?key=free&appid=0&msg={text_input}'
        http_post = urllib.request.Request(api_url, headers={ 'content-type': 'application/json'})
        response = urllib.request.urlopen(http_post)
        response_str = response.read().decode('utf8')
        # print(json.loads(response_str))
        # print(type(json.loads(response_str)))
        return json.loads(response_str)['content']
    
    
    def tx_reply(text_input):
        """ 腾讯闲聊机器人api :param text_input: :return: """
        # 请求参数配置
        app_id = '' # 你的app_id
        time_stamp = time.time()
        nonce_str = 'ffd54f5' + str(random.randint(0, 5512))
        sign = 'abcd' * 8
        session = '10000'
        question = text_input
    
        api_url = f'https://api.ai.qq.com/fcgi-bin/nlp/nlp_textchat?app_id={app_id}&time_stamp={time_stamp}&nonce_str={nonce_str}&sign={sign}&session={session}&question={question}'
        url = api_url
    
        response = requests.get(url)
        if response.status_code == 200:
            print(response.content.decode('utf-8'))
        print('*******************',response)

*  视图函数

from django.shortcuts import render
    from django.http import HttpResponse
    # Create your views here.
    import hashlib
    
    from utils import receive, reply,reply_help
    
    
    def init_connet(request):
        if request.method == 'GET':
            try:
                if len(request.GET) == 0:
                    return "hello, this is handle view"
                token = 'hello123'
                signature = request.GET.get('signature', '')
                timestamp = request.GET.get('timestamp', '')
                nonce = request.GET.get('nonce', '')
                echostr = request.GET.get('echostr', '')
                s = [timestamp, nonce, token]
                s.sort()
                s = ''.join(s)
                sha1 = hashlib.sha1(s.encode('utf-8'))
                # map(sha1.update, s)
                hashcode = sha1.hexdigest()
                print("handle/GET func: hashcode, signature: ", hashcode, signature)
                if hashcode == signature:
                    print('====验证通过====')
                    return HttpResponse(echostr)
                else:
                    print('====验证失败====')
                    return ""
            except Exception as e:
                print('===error===', e)
                return e
        if request.method == 'POST':
            # print(request.body.decode())
            webData = request.body
            print('这是接收的xml: ',webData)
            recMsg = receive.parse_xml(webData)
            if isinstance(recMsg, receive.Msg) and recMsg.MsgType == 'text':
                toUser = recMsg.FromUserName
                fromUser = recMsg.ToUserName
                content = recMsg.Content.decode('utf8')
                print(f'收到用户[{fromUser}]的消息：{content}')
                try:
                    content = reply_help.qyk_reply(recMsg.Content) # 这里调用的时青云客api
                    # content = reply_help.tx_reply(content)
                except Exception as e:
                    print(e)
                print(f'机器人回的消息：{content}')
                replyMsg = reply.TextMsg(toUser, fromUser, content)
                return HttpResponse(replyMsg.send())
    
            else:
                print("暂且不处理")
                return HttpResponse('')

**打印的日志**

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyODc0OTk0_size_16_color_FFFFFF_t_70]

**微信-公总号端**

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyODc0OTk0_size_16_color_FFFFFF_t_70 1]

> 青云客智能聊天机器人API 可以正常使用 但能回复的能较少  
> 图灵api–坑 注册后现在要实名认证后才能调用(它这里实名认证超麻烦，就没弄)

> 这里是根据官方文档的web.py框架改的Django(其他web服务端也差不多吧)—记录一下吧！

> 整个测试demo代码- Github(Python-Advance/DemoCode)  
> **待续…**

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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyODc0OTk0_size_16_color_FFFFFF_t_70 1]: /images/20211122/9dbcbe11f92d4133b282d5517995b011.png