How to override BACKOFF_MAX while working with requests retry

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I am using requests module with python3 to implement Retry mechanism on failure.

Following is my code-

session = session or requests.Session()
retry = Retry(
    total=retries,
    read=retries,
    connect=retries,
    backoff_factor=backoff_factor,
    status_forcelist=status_forcelist,
    method_whitelist=method_whitelist)
retry.BACKOFF_MAX = 60
adapter = HTTPAdapter(max_retries=retry)
session.mount(BASE_URL, adapter)
return session

I do not see any named argument to set maximum backoff (BACKOFF_MAX in Retry class). I do not want sleep time between retries more than 60 seconds. How can I achieve it? Resetting BACKOFF_MAX doesn't work

I got this working by overriding get_backoff_time() of Retry class

class RetryRequest(Retry):

    DEFAULT_METHOD_WHITELIST = frozenset([
    'HEAD', 'GET', 'PUT', 'DELETE', 'OPTIONS', 'TRACE'])

    def __init__(self, total=10, connect=None, read=None, redirect=None, status=None,
             method_whitelist=DEFAULT_METHOD_WHITELIST, status_forcelist=None,
             backoff_factor=0, raise_on_redirect=True, raise_on_status=True,
             history=None, respect_retry_after_header=True, max_backoff=60):
        super(RetryRequest, self).__init__(total=total, connect=connect, read=read, redirect=redirect, status=status,
             method_whitelist=method_whitelist, status_forcelist=status_forcelist,
             backoff_factor=backoff_factor, raise_on_redirect=raise_on_redirect, raise_on_status=raise_on_status,
             history=history, respect_retry_after_header=respect_retry_after_header)
        self.backoff_max = max_backoff

    def get_backoff_time(self):
    """ Formula for computing the current backoff
    :rtype: float
    """
        # We want to consider only the last consecutive errors sequence (Ignore redirects).
        consecutive_errors_len = len(list(takewhile(lambda x: x.redirect_location is None,
                                                reversed(self.history))))
        if consecutive_errors_len <= 1:
            return 0

        backoff_value = self.backoff_factor * (2 ** (consecutive_errors_len - 1))
        return min(self.backoff_max, backoff_value)

and using this class instead of Retry

session = session or requests.Session()
retry = RetryRequest(
        total=retries,
        read=retries,
        connect=retries,
        backoff_factor=backoff_factor,
        status_forcelist=status_forcelist,
        method_whitelist=method_whitelist,
        max_backoff=max_backoff # in my case 60
)
adapter = HTTPAdapter(max_retries=retry)
session.mount(BASE_URL, adapter)
return session

urllib3.util package, Useful methods for working with httplib , completely decoupled from code specific to Or per-request (which overrides the default for the pool): By default, we only retry on methods which are considered to be idempotent BACKOFF_MAX . If the backoff_factor is 0.1, then sleep() will sleep for [0.0s, 0.2s, 0.4s, ] between retries. It will never be longer than Retry.BACKOFF_MAX. By default, backoff is disabled (set to 0). It does 3 retry attempts, after the first failure, with a backoff sleep escalation of: 0.6s, 1.2s.

Best practice with retries with requests, BACKOFF_MAX. By default, backoff is disabled (set to 0). It does 3 retry attempts, after the first failure, with a backoff sleep escalation  While it's easy to immediately be productive with requests because of the simple API, the library also offers extensibility for advanced use cases. If you're writing an API-heavy client or a web scraper you'll probably need tolerance for network failures, helpful debugging traces and syntactic sugar.

I had the same issue, this worked for me:

class RetryRequest(Retry):
    def __init__(self, backoff_max=60, **kwargs):
    super(RetryRequest, self).__init__(**kwargs)
    self.BACKOFF_MAX = backoff_max

I don't think you need to override get_backoff_time(), simply overriding the constructor and setting self.BACKOFF_MAX should work. Also, using kwargs lets you omit the other params.

Advanced usage of Python requests, Below is a summary of features I've found useful in requests when writing We override the constructor to provide a default timeout when API I'm working with, but I usually set it to lower than 10, usually 3 retries is enough. assuming you have Request object , before adding the request to the queue you can do this. request.setRetryPolicy(new DefaultRetryPolicy(5000, 5, DefaultRetryPolicy.DEFAULT_BACKOFF_MULT)); the 5000 indicates the time between each request in ms the 5 is the number of times you want to send the request before it gives you timeout

Python Requests with retries - DEV, Tagged with python, requests, retry. requests with retries. import requests from requests.adapters import HTTPAdapter from BACKOFF_MAX. By I write code during the day. When do you work on your side projects? When a request fails, you may want to have the request be retried automatically. To do so when using Sping Cloud Netflix, you need to include Spring Retry on your application’s classpath. When Spring Retry is present, load-balanced RestTemplates, Feign, and Zuul automatically retry any failed requests (assuming your configuration allows doing

[PDF] urllib3 Documentation, work. It is uncommon, but it is possible to compile Python without SSL support. See this Stackoverflow By default, urllib3 will retry requests 3 times and follow up to. 3 redirects. You still override this pool-level retry policy by specifying retries to request(). 1.6. Retrying request. BACKOFF_MAX = 120. Failed requests will retry with an exponential back-off so that the next retry takes place in an exponentially longer time after the previous one: services .AddHttpClient<UnreliableEndpointCallerService>() .AddTransientHttpErrorPolicy( x => x.WaitAndRetryAsync(3, retryAttempt => TimeSpan.FromSeconds(Math.Pow(3, retryAttempt)));

Retry requests · Issue #108 · encode/httpx · GitHub, urllib3 has a very convenient Retry utility (docs) that I have found to be In the meantime, I can probably work out my own with a while loop Finer grained control and/or a method override will then exist on the RetryConfig. By capturing the requests on the server side, we saw that the repeating requests were identical and that there is no way to actually know (from server perspective) that they are part of a retry. Also, from the browser side, there’s no trace for this (e.g., opening the network view doesn’t show the retry).