Python Retry Library: Checking Retry Count for Decorated Functions

The retry count of a function decorated by the retrying library in Python can be checked by accessing the 'last_attempt' property of the 'RetryCallState' object passed to the 'retry_error_callback' function.

Here's an example:

import retrying

@retrying.retry(wait_fixed=1000, stop_max_attempt_number=3, retry_on_exception=retrying.retry_if_exception_type(RuntimeError))
def my_func():
    print('Trying...')
    raise RuntimeError('Something went wrong')

def retry_error_callback(exception, delay):
    print(f'Retrying after {delay} seconds...')
    print(f'Retry count: {exception.last_attempt.attempt_number}')

try:
    my_func()
except RuntimeError as e:
    print('Error:', e)

In the above example, the 'my_func' function is decorated with the 'retrying' library, which will retry the function call up to 3 times if a 'RuntimeError' exception is raised. The 'retry_error_callback' function is passed as a parameter to the 'retry' decorator, which will be called on each retry attempt.

Inside the 'retry_error_callback' function, the 'last_attempt' property of the 'exception' object is accessed to get the current retry count.

When you run this code, you should see output similar to the following:

Trying...
Retry count: 1
Trying...
Retry count: 2
Trying...
Error: Something went wrong