Morreski

from datetime import datetime, timedelta
import functools


def timed_cache(**timedelta_kwargs):                                              
                                                                                  
    def _wrapper(f):                                                              
        update_delta = timedelta(**timedelta_kwargs)                              
        next_update = datetime.utcnow() + update_delta                            
        # Apply @lru_cache to f with no cache size limit                          

wonderbeyond

#!/usr/bin/env python

"""
How to use it:
1. Just `kill -2 PROCESS_ID` or `kill -15 PROCESS_ID`,
   The Tornado Web Server Will shutdown after process all the request.
2. When you run it behind Nginx, it can graceful reboot your production server.
"""

import time

zbyte64

import tarfile
import time
from io import BytesIO

admin_password = 'xxxxx'

#write password to file
pw_tarstream = BytesIO()
pw_tar = tarfile.TarFile(fileobj=pw_tarstream, mode='w')
file_data = admin_password.encode('utf8')

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

bdarnell

"""Demo of streaming requests with Tornado.

This script features a client using AsyncHTTPClient's body_producer
feature to slowly produce a large request body, and two server
handlers to receive this body (one is a proxy that forwards to the
other, also using body_producer).

It also demonstrates flow control: if --client_delay is smaller than
--server_delay, the client will eventually be suspended to allow the
server to catch up. You can see this in the logs, as the "client