httpstat | httpstat node implementation | HTTP library

I am writing a helper for my API calls and would like it to

• pass a text() response when the call is successful
• throw the full Response otherwise

The reason for this is that I have a case of an API call where a 404 is expected and would like to manage this specific case. Other 404 (in different calls) are indeed errors.

Consider the code below:

What is the best way to retry async API calls using aiohttp? I want to retry the request for the standard socket error, timeout error, etc as well as for certain status codes 500, 501. I have tried using aiohttp_async, but can't get it to work:

During doing a tutorial about JDK11 HttpClient, using a https://httpstat.us/500?sleep=1000 endpoint which is returning HTTP 500 after 1 second, I prepared the following piece of code:

I'm trying to configure Faraday tracing in a Rails application using Datadog.

I've set up the Faraday -> Datadog connection:

I have two button that show different content (Message and Announcement)

let say on initial mount call an API to get list of Message, before user get a response from API, user press Announcement button to get list of Announcement.

here i want to cancel API call of Message, and call Announcement API,

i've tried this code but no luck:

I'm trying to optimize requests through an external proxy (rotator). Sometimes the response is fast, sometimes very slow. So the idea is to send multiple requests in parallel of the same url request, take the fastest response, return the data, close the function without waiting for the other slower response(s).

There are a lot of tutorials online and SO questions regarding parallel requests in python, but all of them are for parallel requests of different requests instead of a duplicate request. Additionally the code waits until all requests are finished. I want to kind kill the parallel requests logic (preferably in a clean way) once the fastest response answers.

My app is running in Python Flask and runs with Gunicorn + Eventlet. I tried Eventlet green pools and Python Concurrent Futures, but using an Eventlet Greenpool seems like a better match, since the code will run in Gunicorn + Eventlet workers and Celery with Eventlet workers.

Im currently using Luminati Proxy Manager (LPM) to retry failed requests. An older version seemed to support parallel requests in the box, but the current versions do not support this function anymore. So I'm either trying to solve it with code in my Python app, or add another service/ tool (like LPM) that takes care of parallel requests and picks the fastest one.

Proxy service Luminati.io provides a 'high performance parallel request' code example (based on Eventlet Greenpool). See 'original example'

I edited to code without a proxy and login's to make it more repeatable and avoid unpredictable proxy response timings. I'm not getting any support from Luminati, so I'm trying figure it out on SO. For this test I'm using simulated slow 5 sec response, and a fast response from httpstat.us:

edit: I found the solution and answered the question.

I'm trying POST to Instagram's API in my app. The POST works fine in Postman, but in my flutter code I always get a error response: {error_type: OAuthException, code: 400, error_message: Invalid platform app} . I must be doing something wrong in my flutter POST but I can't figure out what.

Here is my Postman POST (that works every time) along with the correct body response:

And here is my Dart/Flutter code that gives me the error:

I set the NodeJS http server timeout to 10 seconds:

I want to make use of the requests module backoff strategy outlined at https://stackoverflow.com/a/35504626/1021819, the code reproduced from that answer being: