我正在尝试在Google App Engine中制作一个简单的电报机器人。
当我在GAE中打开控制台并输入以下内容时,webhook设置得很好
curl -F "url=https://example.appspot.com:8443/<token>" -F "certificate=@certificate.pem"
https://api.telegram.org/bot<token>/setWebhook
但是当我在GAE中运行这个python脚本时(当然,删除了之前的webhook),webhook没有设置好。我无法弄清楚我做错了什么。
import sys
import os
import time
from flask import Flask, request
import telegram
# CONFIG
TOKEN = '<token>'
HOST = 'example.appspot.com' # Same FQDN used when generating SSL Cert
PORT = 8443
CERT = "certificate.pem"
CERT_KEY = "key.pem"
bot = telegram.Bot(TOKEN)
app = Flask(__name__)
@app.route('/')
def hello():
return 'Hello World!'
@app.route('/' + TOKEN, methods=['POST','GET'])
def webhook():
update = telegram.Update.de_json( request.get_json(force = True), bot )
chat_id = update.message.chat.id
bot.sendMessage(chat_id = chat_id, text = 'Hello, there')
return 'OK'
def setwebhook():
bot.setWebhook(url = "https://%s:%s/%s" % (HOST, PORT, TOKEN), certificate = open(CERT, 'rb'))
if __name__ == '__main__':
context = (CERT, CERT_KEY)
setwebhook()
time.sleep(5)
app.run(host = '0.0.0.0', port = PORT, ssl_context = context, debug = True)
app.yaml文件如下:
runtime: python27
api_version: 1
threadsafe: yes
- url: .*
script: main.app
libraries:
- name: webapp2
version: "2.5.2"
- name: ssl
version: latest
修改 我更改了app.yaml文件如下,但我仍然无法设置webhook。它现在给了我“502 bad gateway nginx”错误
runtime: python
env: flex
entrypoint: gunicorn -b :8443 main:app
threadsafe: true
runtime_config:
python_version: 2
答案 0 :(得分:1)
您的app
表示标准GAE环境,其中Flask应用程序仅通过if __name__ == '__main__':
变量及其处理程序/路由引用。 app = Flask(__name__)
部分甚至可能无法执行。来自Creating a request handler for your Flask app:
- 醇>
添加此行以创建Flask类的实例并将其分配给名为app的变量:
appengine/standard/flask/tutorial/main.py
... if __name__ == '__main__': # This is used when running locally. Gunicorn is used to run the # application on Google App Engine. See entrypoint in app.yaml. app.run(host='127.0.0.1', port=8080, debug=True)
但是你试图将它作为一个独立的脚本运行 - 它只适用于灵活的GAE环境应用程序。来自Hello World code review:
appengine/flexible/hello_world/main.py
import numpy as np import matplotlib.pyplot as plt n=1000 x=np.random.randn(n,1) y=np.random.randn(n,1) color_xy=np.arctan2(y,x) plt.scatter(x,y,s=75,c=color_xy,alpha=0.5)
如果您确实希望以这种方式运行它,则需要将应用程序重新配置为灵活的环境。