ماذا أفعل إذا استمر (instance) في التوقف (الاغلاق) ؟

يمكنك استخدام كود " Keep Alive " للحفاظ على تشغيل مساحة العمل الخاصة بك:

import signal

 

from contextlib import contextmanager

 

import requests

 

 

DELAY = INTERVAL = 4 * 60  # interval time in seconds

MIN_DELAY = MIN_INTERVAL = 2 * 60

KEEPALIVE_URL = "https://nebula.udacity.com/api/v1/remote/keep-alive"

TOKEN_URL = "http://metadata.google.internal/computeMetadata/v1/instance/attributes/keep_alive_token"

TOKEN_HEADERS = {"Metadata-Flavor":"Google"}

 

 

def _request_handler(headers):

    def _handler(signum, frame):

        requests.request("POST", KEEPALIVE_URL, headers=headers)

    return _handler

 

 

@contextmanager

def active_session(delay=DELAY, interval=INTERVAL):

    """

    Example:

 

    from workspace_utils import active session

 

    with active_session():

        # do long-running work here

    """

    token = requests.request("GET", TOKEN_URL, headers=TOKEN_HEADERS).text

    headers = {'Authorization': "STAR " + token}

    delay = max(delay, MIN_DELAY)

    interval = max(interval, MIN_INTERVAL)

    original_handler = signal.getsignal(signal.SIGALRM)

    try:

        signal.signal(signal.SIGALRM, _request_handler(headers))

        signal.setitimer(signal.ITIMER_REAL, delay, interval)

        yield

    finally:

        signal.signal(signal.SIGALRM, original_handler)

        signal.setitimer(signal.ITIMER_REAL, 0)

 

 

def keep_awake(iterable, delay=DELAY, interval=INTERVAL):

    """

    Example:

 

    from workspace_utils import keep_awake

 

    for i in keep_awake(range(5)):

        # do iteration with lots of work here

    """

    with active_session(delay, interval): yield from iterable