企业微信推出了Webhook群聊机器人，很大程度上方便了我们的数据监控以及定时数据播报

接下来我们就一起探讨下

一、创建第一个机器人

右击群聊，添加群机器人，设置一个名称，这样你就可以在群成员列表里面看到群机器人这个成员，右击查看资料，会有一个URL地址，复制一下。

#!/usr/bin/env python

import requests

import json

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **}

body = {

"msgtype": "text",

"text": {

"content":"Hello World"

}

}

response1 = requests.post(url, data = json.dumps(body), headers = headers)

就会在群聊里收到我们写入的text

二、@群成员

mentioned_mobile_list里面写入需要@的人，@all是@全部

#!/usr/bin/env python

import requests

import json

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **'}

body = {

"msgtype": "text",

"text": {

"content": "广州今日天气：29度，大部分多云，降雨概率：60%",

"mentioned_mobile_list":["****"]

}

}

response = requests.post(url, data = json.dumps(body), headers = headers)

三、markdown

为了能方便理解我们采用样例的内容展示

#!/usr/bin/env python

import requests

import json

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **'}

body = {

"msgtype": "markdown",

"markdown": {

"content": "实时新增用户反馈132例，请相关同事注意。\n"

">类型:用户反馈\n"

">普通用户反馈:117例\n"

">VIP用户反馈:15例"

}

}

response = requests.post(url, data = json.dumps(body), headers = headers)

可以根据markdown语法进行简单的优化

四、图片

要注意图片类型，根据要求进行转化

#!/usr/bin/env python

import requests

import json

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **'}

body = {

"msgtype": "news",

"news": {

"articles" : [

{

"title" : "中秋节礼品领取",

"description" : "今年中秋节公司有豪礼相送",

"url" : "www.qq.com",

"picurl" : "http://res.mail.qq.com/node/ww/wwopenmng/images/independent/doc/test_pic_msg1.png"

}

]

}

}

response = requests.post(url, data = json.dumps(body), headers = headers)

当然对于图片，我们用的更多的是本地图片，所以我们在优化一下

#!/usr/bin/env python

import requests

import json

import base64

import hashlib

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **'}

with open('/Users/admin/Desktop/test.png', 'rb') as f:

MD5 = hashlib.md5(f.read()).hexdigest()

with open('/Users/admin/Desktop/test.png', 'rb') as f:

base64_data = base64.b64encode(f.read())

DATA = base64_data.decode()

body = {

"msgtype": "image",

"image": {

"base64": DATA,

"md5": MD5

}

}

response = requests.post(url, data = json.dumps(body), headers = headers)

五、真实天气预报

我们调用API获得数据

#!/usr/bin/env python

import requests

import json

import base64

import hashlib

import json, urllib

from urllib import request

url1 = 'https://free-api.heweather.net/s6/weather/now?location=hangzhou&key=你的KEY'

request = request.Request(url1)

result = urllib.request.urlopen(request)

jsonarr = json.loads(result.read())

fl= str(jsonarr['HeWeather6'][0]['now']['fl'])

cond_txt= jsonarr['HeWeather6'][0]['now']['cond_txt']

wind_sc= jsonarr['HeWeather6'][0]['now']['wind_sc']

url = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=**'

headers = {'content-type': "application/json", 'Authorization': 'APP appid = **,token = **'}

body = {

"msgtype": "markdown",

"markdown": {

"content": "**天气状况:** "+ cond_txt +" \n"

">体感温度: "+ fl + "摄氏度\n"

">风力: "+ wind_sc + "\n"

}

}

response = requests.post(url, data = json.dumps(body), headers = headers)

我们也可以定时推送

Mac下crontab执行定时脚本，感兴趣的可以试一下

同时，如果我们需要进行实时数据播报，也可以利用定时执行调取数据库数据，整理后定时发送在企业微信群中

以上