How to Call One Python Script from Another and Pass Arguments in a Loop?

Описание: Learn how to call one Python script from another, and pass arguments in a loop using the `subprocess` module.
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How to Call One Python Script from Another and Pass Arguments in a Loop?

When working with multiple Python scripts, you might find yourself needing to call one script from another and pass arguments dynamically in a loop. Python provides a straightforward way to accomplish this by using the subprocess module. This guide will guide you through the entire process.

Using subprocess to Call a Python Script

The subprocess module in Python allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes. This module is instrumental when you need to call one Python script from another.

Basic Usage

Let's say you have two scripts, script_a.py and script_b.py, and you want script_a.py to call script_b.py and pass arguments to it. Here's a simplified example to get you started:

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In this example, subprocess.run is used to call script_b.py with arguments arg1 and arg2. The capture_output parameter enables capturing the output for further processing.

Looping and Passing Arguments

To call the script in a loop and pass different arguments dynamically, you can modify the code as follows:

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In this example, argument_list contains tuples of arguments to be passed in each iteration. The script constructs the command dynamically and calls script_b.py within the loop.

Handling Errors

It's also essential to handle potential errors when calling scripts. You can achieve this by checking the return code of the called script:

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By checking result.returncode, you can determine if the call was successful or if an error occurred, and handle each case accordingly.

Conclusion

Calling one Python script from another and passing arguments in a loop can streamline your workflow, especially when dealing with repetitive tasks or batch processes. Using the subprocess module, you can easily manage the execution of scripts and handle their outputs and errors efficiently.

Feel free to adapt the examples provided to fit your specific needs and scenarios.