[Asm] 纯文本查看 复制代码from apscheduler.schedulers.blocking import BlockingScheduler
from datetime import datetime
import requests
def job():
data = {
"msgtype": "text",
"text": {
"content": "@所有人，每日提示：还有10分开始打卡，记得哦！ ",
}
}
url = "https://qyapi./cgi-bin/webhook/send?key=xxxxxxxxxxxxxxxx"
headers = {"Content-Type": "text/plain"}
r = requests.post(url, headers=headers, json=data)
print(datetime.now().strftime("%Y-%m-%d %H:%M:%S"),"文本发送情况提示",r.text)
def job1():
data = {
"msgtype": "text",
"text": {
"content": "@所有人，开始打卡！！！！",
}
}
url = "https://qyapi./cgi-bin/webhook/send?key=xxxxxxxxxxxxxxxx"
headers = {"Content-Type": "text/plain"}
r = requests.post(url, headers=headers, json=data)
print(datetime.now().strftime("%Y-%m-%d %H:%M:%S"),"文本发送情况提示",r.text)
def job2():
data = {
"msgtype": "image",
"image": {
"base64": 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",
"md5": "17d633d2be18644cc4bcff91b4f27d0e"
}
}
url = "https://qyapi./cgi-bin/webhook/send?key=xxxxxxxxxxxxxxxx"
headers = {"Content-Type": "text/plain"}
r = requests.post(url, headers=headers, json=data)
print(datetime.now().strftime("%Y-%m-%d %H:%M:%S"),"图片发送情况提示",r.text)
scheduler = BlockingScheduler()
scheduler.add_job(job, 'cron', day_of_week='0-5', hour=8, minute=5)
scheduler.add_job(job, 'cron', day_of_week='0-5', hour=11, minute=50)
scheduler.add_job(job, 'cron', day_of_week='0-4', hour=13, minute=35)
scheduler.add_job(job, 'cron', day_of_week='0-4', hour=17, minute=20)
scheduler.add_job(job1, 'cron', day_of_week='0-5', hour=8, minute=15)
scheduler.add_job(job1, 'cron', day_of_week='0-5', hour=12, minute=00)
scheduler.add_job(job1, 'cron', day_of_week='0-4', hour=13, minute=45)
scheduler.add_job(job1, 'cron', day_of_week='0-4', hour=17, minute=30)
scheduler.add_job(job2, 'cron', day_of_week='0-5', hour=8, minute=25)
scheduler.add_job(job2, 'cron', day_of_week='0-5', hour=12, minute=10)
scheduler.add_job(job2, 'cron', day_of_week='0-4', hour=13, minute=55)
scheduler.add_job(job2, 'cron', day_of_week='0-4', hour=17, minute=40)
scheduler.start()
