python调企业微信机器人API_发送文本

一、前言：添加企业微信群机器人

1、企业微信APP端，在群里添加机器人如命名为test；
2、PC端点击test可查看Webhook地址，也可修改相关资料，Webhook下方的配置说明，可查看相信的机器人配置说明。

企业微信群机器人_示例.png

 

二、文本类消息

1、接口说明

文本_txt类型.png

 

2、企业机器人发送文本类消息

代码：

# -*- coding: utf-8 -*-
import requests
import os,time
import pandas as pd

#发送txt文本
def post_txt(url,txt):
    data_txt = {"msgtype": "text",
                "text": {"content": txt}
                }
    requests.post(url,json = data_txt).json()

if __name__ == "__main__":
    u0 = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key='
    path_0 = os.path.dirname(__file__)
    print(path_0)

    #读取 全部的key(Sheet列：name  key)
    path_xlsx = path_0 + '/robot_keys.xlsx'
    all_keys = pd.read_excel(path_xlsx, sheet_name = 'Sheet1')
    all_keys_dict = all_keys.T.to_dict()

    now_h = int(time.strftime("%H", time.localtime()))

    for m,n in all_keys_dict.items():
        key = u0+n['key']
        test_post = '嗨!'+n['name']+'群的老师们，大家好！\n'
        test_post += '当前时间：'+time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())+'\n'
        test_post_onduty = test_post + '上班请打卡！上班请打卡!'
        test_post_onduty += '\n—— 机器人(鲸头鹳)'
        test_post_offduty = test_post + '下班请打卡！下班请打卡!'
        test_post_offduty += '\n—— 机器人(鲸头鹳)'

        if now_h <= 9:
            post_txt(key, test_post_onduty)
        if now_h >= 19:
            post_txt(key, test_post_offduty)

执行结果：

txt案例.png

 

二、Markdown类型消息

1、接口说明

文本_markdown类型.png

文本_markdown类型_更多说明.png

 

2、企业机器人发送Markdown类型消息

代码：

# -*- coding:utf-8 -*-
import pandas as pd
import requests
from bs4 import BeautifulSoup
import os

# 发送markdown文本--前4条新闻
def post_markdown(url,a):
    x = a[0][0]
    x0 = "[1." + x + "](" + a[0][1] + ")"
    x1 = "[2." + a[1][0] + "](" + a[1][1] + ")"
    x2 = "[3." + a[2][0] + "](" + a[2][1] + ")"
    x3 = "[4." + a[3][0] + "](" + a[3][1] + ")"
    data_txt = {"msgtype": "markdown",
    "markdown": {"content": "今日新闻:\n {}\n > {}\n > {}\n > {}".format(x0,x1,x2,x3)}
    }
    requests.post(url,json = data_txt).json()

# 解析36kr网站，获取推荐新闻链接
def request_news(url):
    re = requests.get(url)
    lx = re.content
    soup = BeautifulSoup(lx, 'lxml')
    news_list = soup.find_all('div', attrs={'class': 'newsflash-item'})
    news_all_list = []
    for news_i in news_list:
        news_link = 'https://36kr.com' + news_i.find('a', attrs={'class': 'item-title'})['href']
        news_title = news_i.find('a', attrs={'class': 'item-title'}).getText()
        news_desc = news_i.find_all('div', attrs={'class': 'item-desc'})[0].getText()
        news_info = news_desc + news_link
        news_all_list.append([news_title, news_link, news_info])
    return(news_all_list)

if __name__ == "__main__":
    u0 = 'https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key='
    path_0 = os.path.dirname(__file__)
    print(path_0)

    # 读取 全部的key(Sheet列：name  key)
    path_xlsx = path_0 + '/robot_keys.xlsx'
    all_keys = pd.read_excel(path_xlsx, sheet_name='Sheet1')
    all_keys_dict = all_keys.T.to_dict()

    url_36 = 'https://36kr.com/newsflashes'
    a = request_news(url_36)

    for m,n in all_keys_dict.items():
        key = u0+ n['key']
        post_markdown(key,a)

执行结果：

markdown案例.png

 

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特别特别要注意：一定要保护好机器人的webhook地址，避免泄漏！不要分享到github、博客等可被公开查阅的地方，否则坏人就可以用你的机器人来发垃圾消息了。