Python Retry Statistics: Count Retries with retrying Library

To count the retry statistics of a function decorated by the retrying library in Python, you can use the 'retrying.statistics' module. This module provides a 'Statistics' class that keeps track of the number of retries, the number of successful calls, and the total elapsed time.

Here's an example:

import retrying
from retrying.statistics import Statistics

@retrying.retry(wait_fixed=1000, stop_max_attempt_number=3)
def my_function():
    print('Trying...')
    raise Exception('Oops')

stats = Statistics()

try:
    my_function()
except Exception:
    pass

print('Retries:', stats.num_retries)
print('Successful calls:', stats.num_successes)
print('Total elapsed time:', stats.total_elapsed_time)

In this example, we have a function 'my_function' decorated with the retrying library. It will retry up to 3 times with a fixed wait time of 1 second between retries.

We create a 'Statistics' object before calling the function and then catch any exceptions that are raised. After the function has completed (either successfully or after all retries have been exhausted), we print out the retry statistics using the 'num_retries', 'num_successes', and 'total_elapsed_time' properties of the 'Statistics' object.

This will output something like:

Trying...
Trying...
Trying...
Retries: 2
Successful calls: 0
Total elapsed time: 3002.116894006729