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A tool to save and load a snapshot of a Python debugging environment.

Project description

debugsnap

Overview

debugsnap is a Python package designed to facilitate debugging by enabling the saving and loading of a snapshot of a Python debugging environment. This tool is especially useful when you would like to use the functionally interactive python for debugging, making it easier to analyze and understand complex code behaviors.

Installation

To install debugsnap, simply run the following command:

pip install debugsnap

Usage

To use debugsnap, follow these steps:

** Warning:** By default a new folder named tmp_save_snapshot will be created in your ~ directory and the shapshot files will be saved there. To avoid this behaviour you have to provide a storage_path.

  1. Saving the Debugging Snapshot: In your debug session, use the appropriate function to save the current snapshot. For example:

     from debugsnap import save_snapshot
     save_snapshot(local_vars=locals(), global_vars=globals())
    
  2. Loading the Debugging Snapshot: In a new Python session or an interactive environment, load the saved snapshot:

     from debugsnap import load_snapshot
     global_vars, local_vars = load_snapshot()
     globals().update(global_vars)
     locals().update(local_vars)
    

Snippets

In order to make the use of this package easier we suggest adding the following snippets to your VScode, by adding them to /snippets/python.json

    "Save Debug Snapshot": {
        "prefix": "save_snapshot",
        "body": [
            "from debugsnap import save_snapshot",
            "save_snapshot(local_vars=locals(), global_vars=globals())"
        ],
        "description": "Save the current state of local and global variables, excluding specific ones."
    },
    "Load Debug Snapshot": {
        "prefix": "load_snapshot",
        "body": [
            "from debugsnap import load_snapshot",
            "global_vars, local_vars = load_snapshot()",
            "globals().update(global_vars)",
            "locals().update(local_vars)"
        ],
        "description": "Load a saved state into the current global and local variables."
    }
  • Snapshot Saving: Captures the current snapshot of your Python environment, including variables and their values.
  • Snapshot Loading: Restores the saved snapshot in a new Python session, allowing for continued exploration and debugging.
  • Non-Picklable Object Handling: Gracefully manages non-picklable objects, ensuring a robust saving process.

Requirements

debugsnap requires Python 3.6 or later. Dependencies include:

  • dill >= 0.3.0

Contributing

Contributions to debugsnap are welcome!

License

debugsnap is released under the MIT License. See the LICENSE file for more details.

Contact

For questions or feedback, please contact v4lue4dded@gmail.com.

Author

Developed by v4lue4dded. Visit the GitHub repository for more information and updates.

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