Скачать или смотреть Mastering GET Requests: How to Properly Wait for Completion Status in Python

Discover how to effectively wait for a `GET` request to return a completion status of 0 in Python using the Requests library. Follow our step-by-step guide for a smooth API interaction.
---
This video is based on the question https://stackoverflow.com/q/73360145/ asked by the user 'Fluxy' ( https://stackoverflow.com/u/11622712/ ) and on the answer https://stackoverflow.com/a/73360292/ provided by the user 'Guy' ( https://stackoverflow.com/u/5168011/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to properly wait while `GET` returns the completion status equal to 0

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Mastering GET Requests: How to Properly Wait for Completion Status in Python

When working with APIs, particularly those that execute lengthy tasks, it's crucial to manage the request-response cycle effectively. This guide will address a common problem: how to properly wait for a GET request to return with a completion status of 0.

Understanding the Problem

In this scenario, you're dealing with an API that processes tasks in two steps:

Submit a task via a POST request, which returns a results URL.

Check the status of the task with a GET request to the results URL. The goal is to wait until this status indicates that the task is "completed."

You might encounter situations where the completion status returns as 0, meaning the task is still in progress. You need a robust mechanism to keep checking the status until it successfully changes to "completed."

Solution Overview

The solution involves using a loop to repeatedly send the GET request to the results URL until the desired status is achieved. It’s also wise to implement a delay between requests to avoid overwhelming the API, and using a session object can help manage connections better.

Step-by-Step Implementation

Here’s how you can implement the solution in Python using the requests library:

Step 1: Setup Your POST Request

First, you'll need to send a POST request to initiate the task and retrieve the results URL. This is your starting point.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Implement the Loop for Status Check

Now we move to the GET request part. You want to implement a loop that will keep checking the status of the result until it is marked as completed.

[[See Video to Reveal this Text or Code Snippet]]

Key Points to Remember

Use Sessions: Utilizing requests.Session() minimizes the overhead of opening new connections for every request, thus preventing potential connection errors and improving performance.

Delay Between Requests: The time.sleep() function adds a pause between checks, giving the server time to process the request and preventing server overload.

Attempt Limitation: Setting a maximum number of attempts can prevent an infinite loop scenario. Modify the attempts variable based on your needs.

Conclusion

With this approach, you can confidently handle situations where you need to wait for a GET request to return a completion status of 0. By implementing a simple loop combined with a session for requests, you ensure that your code is not only efficient but also robust against connection failures.

Now you can apply these techniques to improve your API interactions and create a smoother, more responsive experience in your applications. Happy coding!