ApiRetrys 0.0.3

To handle API request retries due to timeouts

ApiRetrys

Are you annoyed because your request has an error due to internet problems? I think this library could be the answer

Feature ✨

• automatically repeats if the request times out

• now the runtime logs are more colorful

• The number of repetitions and waiting time can be adjusted and default values ​​are provided

• maintain flexibility by returning all responses received

• provides logs to make monitoring easier, which can be turned on or not

• provides all the methods in the request

• can handle to may requests

• You can handle forbidden (403) by refreshing the session with a request to the main URL

Tech 💻

• requests is an easy-to-use Python library for interacting with APIs and making HTTP requests

Requirement ⚙️

• Python v3.11.6+

• requests 2.31.0+

Installation 🛠️

pip install ApiRetrys

How To Usage 🤔

Basic use

from ApiRetrys import ApiRetry



api = ApiRetry(show_logs=True)

response = api.get(url='https://github.com/')



# or you can define data types



from ApiRetrys import ApiRetry

from requests import Response



api = ApiRetry(show_logs=True)

response: Response = api.get(url='https://github.com/',)



# or you want to manually set the max_retries

# by defaulth (max_retries) is 5

response: Response = api.get(url='https://github.com/', max_retries=10)

if you set param (show_logs=True) then a log will come out like this

If the error exceeds max_retries then it will return last response

With other parameters

from ApiRetrys import ApiRetry

from requests import Response



headers = {

   "PUBLIC-CSRF-TOKEN": '7giS6UPv3Rf2l9fclp2wFzCEI',

   "User-Agent": user_agent.random

}



payload = {

    "query":"anime",

    "page":1,

    "per_page":50,

    "sorting":"likes",

    "pro_first":"1",

    "filters":[],

    "additional_fields":[]

    }



cookies = {

    'PRIVATE-CSRF-TOKEN': '8Mc45%2BAa3Vd',

    'cf_clearance': 'rpQn91kojLw_ZCzrgjP',

    '__stripe_mid': '0adecf01-7471-434e-aa12-6c2d33cbb216fd19aa',

    'g_state': '{"i_p":1702902016560,"i_l":1}',

    'visitor-uuid': 'fbf18513-e803-',

    '__cf_bm': '_ukyfnf1.He..wDhIxF',

    '__stripe_sid': 'c7956d65-b70f-4e',

    'referrer-host': 'www.google.com'

}



api = ApiRetry(show_logs=False)

response: Response = api.post(url='https://github.com/', data=payload, cookies=cookies)

examples of more complex usage as well as the use of handlers for many requests and forbidden

from ApiRetrys import ApiRetry

from requests import Response



class Main:

    def __init__(self) -> None:



        self.api = ApiRetry(



            # parameters to display logs or not

            show_logs=True,



            # parameter whether you want to use the default header,

            # but only contain the user agent

            defaulth_headers=True,



            # param to handle responses 403 and 429,

            # if false it will be returned even though the responses are 403 and 429

            handle_forbidden=True,



            # whatever response you want to handle

            # This is the default value, if it is not entered there is no problem

            codes_handler=[403, 429],



            # URL to refresh the session if you get a 403 response

            # (it is recommended to use the main URL of the destination website)

            redirect_url='https://github.com/')

        ...





    def execute(self, url: str):

        response: Response = self.api.get(url)



        print(response)

        ...



if __name__ == '__main__':

    main = Main()

    main.execute('https://github.com/ryyos/ApiRetrys')

explanation

when you try to make a request to the url https://github.com/ryyos/ApiRetrys

but you get a 403 response because your session does not have CSRF-TOKEN, or because there are too many requests, then the code will handle it by trying to refresh the session by making requests to the main URL in the redirect_url parameter

🚀Structure

│   LICENSE

│   README.md

│   setup.py

│

└───ApiRetrys

        ApiRetrys.py

        Logs.py

        __init__.py

Author

👤 Rio Dwi Saputra

• Twitter: @ryyo_cs

• Github: @ryyos

• Instagram: @ryyo.cs

• LinkedIn: @rio-dwi-saputra-23560b287