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Скачать или смотреть How to Get the Source Code of the Calling Line in Python Using the inspect Module

  • vlogize
  • 2025-04-06
  • 1
How to Get the Source Code of the Calling Line in Python Using the inspect Module
Python - Get the source code of the line that called mepythoninspect
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Описание к видео How to Get the Source Code of the Calling Line in Python Using the inspect Module

Discover how to retrieve the source code of the line that called your function in Python using the `inspect` and `traceback` modules. Learn step-by-step techniques with practical examples.
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This video is based on the question https://stackoverflow.com/q/72815386/ asked by the user 'u2gilles' ( https://stackoverflow.com/u/3131604/ ) and on the answer https://stackoverflow.com/a/72817601/ provided by the user 'IamFr0ssT' ( https://stackoverflow.com/u/7891382/ ) 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: Python - Get the source code of the line that called me

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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Understanding the Problem: Capturing the Calling Line in Python

In many programming scenarios, especially when debugging or logging, it might be useful to know precisely where a function was called. Consider a situation in Python where you'd like to retrieve the source code of the line that called a specific function. For instance, if you have a function fct1() that is called by different lines in your code, you might want to capture not just the fact that it was invoked, but the exact code that initiated the call.

Imagine the following example:

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

What if you wanted to get the string "a = fct1()" within fct1()? This can be particularly useful if you need to extract variable names or gain more context about the function's usage.

Solution Overview: Using the traceback Module

Fortunately, Python provides tools such as the traceback module, which allows us to work with stack traces. With this module, you can easily capture the calling line's source code. Let's explore how you can achieve this.

Step-by-Step Solution

Basic Retrieval of the Caller Line

A straightforward way to capture the line that called your function is by utilizing the traceback.extract_stack() method. Here’s how you can do it:

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

Breakdown:

Import traceback: This module provides utilities for working with stack traces.

Extract Stack: The extract_stack(limit=2) function retrieves the last two frames of the current stack, where the first frame refers to the current function and the second frame to the calling function.

Format the Stack: We format the stack to get a readable line and then extract the relevant part with a simple string operation.

Enhanced Solution with a Decorator

In some scenarios, you might want to create a reusable decorator that attaches this functionality to any function. Below is an implementation of a decorator to accomplish this:

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

Breakdown:

Decorator Function: The add_caller function wraps another function and captures the caller information.

Extract Caller Line: Just like before, we utilize the traceback module to fetch the calling line.

Function Execution: The original function now receives an additional parameter containing the caller line.

Conclusion

By leveraging the traceback module, you can effectively obtain the source code of the line that called your functions, which can be essential for debugging and parameter extraction. This approach allows you to create powerful decorators, enhancing your code's versatility and maintainability.

If you've ever wondered about how to capture caller information in Python, you now have a clear methodology to do so. Happy coding!

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