How to code auto-retry for API call

1. How do you retry API call in react?
2. How do you retry API call in Python?
3. How do I retry request in Axios?
4. What http codes should be retried?
5. How do I deal with failed API calls?
6. Should you retry 500 errors?
7. Why are Python requests so slow?
8. What is Backoff_factor?
9. What is a retry decorator?
10. What is Axios default timeout?
11. How do you use Axios interceptor?

How do you retry API call in react?

To handle the "wait" mechanic before retrying the request, you can use setTimeout . First, we add our new configuration argument (1). Then, set up the setTimeout and use the backoff value as the delay.

How do you retry API call in Python?

In Python, the best way to do that is with a decorator. This is then applied to the function that makes the HTTP call: @retry.

How do I retry request in Axios?

5 Answers. axios-retry uses axios interceptor to retry HTTP requests. It intercepts requests or responses before they are handled by then or catch. Below is the working code snippet.

What http codes should be retried?

5xx error codes should be retried as those are service errors.
...
2 Answers

• 400 Bad Request.
• 401 Unauthorized.
• 402 Payment Required.
• 403 Forbidden.
• 405 Method Not Allowed.
• 406 Not Acceptable.
• 407 Proxy Authentication Required.
• 409 Conflict - it depends.

How do I deal with failed API calls?

The first step in handling errors is to provide a client with a proper status code.
...
3. Handling Errors

1. 3.1. Basic Responses. The simplest way we handle errors is to respond with an appropriate status code. ...
2. 3.2. Default Spring Error Responses. ...
3. 3.3. More Detailed Responses. ...
4. 3.4. Standardized Response Bodies.

Should you retry 500 errors?

Retry on 500/503 error responses.

A second attempt will typically succeed. For more information on exponential backoff, please see this Wikipedia article: Exponential backoff - Wikipedia, the free encyclopedia. Generally, we suggest you retry once immediately when encountering a 5xx error.

Why are Python requests so slow?

The reason is that requests first tries an IPv6 connection. When that times out, it tries to connect via IPv4. By setting the timeout low, you force it to switch to IPv4 within a shorter amount of time.

What is Backoff_factor?

backoff_factor – A backoff factor to apply between attempts. raise_on_redirect – Whether, if the number of redirects is exhausted, to raise a MaxRetryError , or to return a response with a response code in the 3xx range.

What is a retry decorator?

The Python wiki has a Retry decorator example which retries calling a failure-prone function using an exponential backoff algorithm. ... Each time the decorated function throws an exception, the decorator will wait a period of time and retry calling the function until the maximum number of tries is used up.

What is Axios default timeout?

If you're making http requests using the axios library on a browser or in a node app, do make sure that you have a timeout set. The default timeout is set to 0 which indicates no timeout. With that default value, any remote end can keep us waiting for the requested resource for an indefinite period.

How do you use Axios interceptor?

Setting up Axios interceptors

The steps to create Axios request & response interceptors are: Create a new Axios instance with a custom config. Create request, response & error handlers. Configure/make use of request & response interceptors from Axios.