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Скачать или смотреть Re-run a Python Script Automatically Using Cron Jobs in Ubuntu

  • vlogize
  • 2025-11-01
  • 0
Re-run a Python Script Automatically Using Cron Jobs in Ubuntu
Re-run a python script after a few days if it failspythonubuntucron
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Описание к видео Re-run a Python Script Automatically Using Cron Jobs in Ubuntu

Discover how to efficiently re-run a Python script after a few days if it fails using `cron jobs`. Implement automated solutions for error handling in your code.
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This video is based on the question https://stackoverflow.com/q/67766977/ asked by the user 'Led' ( https://stackoverflow.com/u/4377095/ ) and on the answer https://stackoverflow.com/a/67767317/ provided by the user 'Sudonym' ( https://stackoverflow.com/u/11051901/ ) 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: Re-run a python script after a few days if it fails

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.
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How to Automatically Re-run a Failed Python Script after a Few Days

Running scripts is an essential task for many developers, but what happens when a script fails? You can tackle this problem efficiently in a Linux environment using cron jobs and logging. This guide will guide you through the steps to set up a system that allows your Python script to be retried automatically after a predetermined period if it encounters an error.

Understanding the Problem

Suppose you have a Python script that is crucial for your project's operation. For various reasons, such as a temporary network issue or incorrect input, your script might fail during execution. If you simply use a sleep function to pause the process, it won’t work reliably because the server might restart, which would clear any temporary data. Therefore, finding a way to ensure that the script runs again after a few days is necessary.

Solution Overview

Most systems administrators and developers solve this issue with cron jobs, which allow you to schedule tasks at specified intervals. In this case, you can create a cron job that checks the status of your script and if it has failed, it will attempt to run it again. Here’s how to set it up:

Step 1: Log Status of Your Script

First, modify your Python script to log the execution status. This can be done using simple file operations. Here’s a quick example:

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

This code snippet attempts to run your script logic and, if an exception occurs, it logs the failure time and error message to a file named script_status.log. This log will help check if the script needs to be retried.

Step 2: Create a Cron Job

Next, set up a cron job that checks the log file and attempts to rerun the script if it has recorded a failure. You can edit your crontab by running the following command in your terminal:

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

Now, add the following line to schedule the job to run every 24 hours:

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

Components of this line:

0 * * * *: This schedules the job to run at midnight every day.

/usr/bin/python3 /path/to/your_script.py: This is the command to execute your Python script.

&& echo "OK" > script_status.log: If the script runs successfully, it writes a success message back to the log file.

|| tail -n 1 script_status.log: If the script fails, it retrieves and displays the last entry from the log file.

Conclusion

By logging the status of your Python script and using cron jobs, you can create an automated system that effectively manages script failures. This method ensures that if your script fails, it will be retried after a few days without manual intervention, allowing for a robust and reliable execution of your tasks.

Now you can focus more on development without worrying about the failures of a crucial script!

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