debugsnap 0.1.8

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

debugsnap

Overview

debugsnap is a Python package designed to facilitate debugging by enabling the saving and loading of a snapshot of the state of the local and global variables that can then be used for debugging.

This tool is especially useful when you would like to use the functionally of interactive python for debugging.

For example in order to itterate on code in a function that is in a state that takes a long time to achieve.

Just save a snapshot using the debug console when you are in that state then load the snapshot whenever and as often as you want and itterate.

Installation

To install debugsnap, 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 (containing the global variables, local variables and information about any variable that could not be saved for any reason) will be saved there. To change the storage location 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."
    }

Parameters

Here is an overview over the parameters that the save_snapshot and load_snapshot functions can accept.

In particular the storage_path parameter might be releveant to you if you don't want to always save to the same location in your ~ directory.

Varying the storage_path is also the easiest way to save multiple different snapshots, as by default each snapshot overwrites the files of the previous snapshot.

def save_snapshot(
    storage_path: Optional[str] = None,
    global_vars: Optional[Dict] = None,
    local_vars: Optional[Dict] = None,
    global_vars_file: str = "global_vars.pkl",
    local_vars_file: str = "local_vars.pkl",
    not_saved_info_file: str = "not_saved_info.pkl",
    exclude: Optional[List] = None,
    strict: bool = False,
    print_location: bool = True,
) -> None:
    """Save the snapshot of local and global variables to disk.

    Parameters:
        storage_path (Optional[str]): The storage path. Defaults to None.
        global_vars (Dict): Global variables to save. Defaults to {}.
        local_vars (Dict): Local variables to save. Defaults to {}.
        global_vars_file (str): Filename for global variables. Defaults to 'global_vars.pkl'.
        local_vars_file (str): Filename for local variables. Defaults to 'local_vars.pkl'.
        not_saved_info_file (str): Filename for the information about variables that couldn't be saved. Defaults to 'not_saved_info.pkl'.
        exclude (List): List of variable names to exclude from saving. Defaults to [].
        strict (bool): Raise exceptions for unpicklable variables if True. Defaults to False.
        print_location (bool): Prints the location where the files where saved. Defaults to True.

    Returns:
        None
    """

def load_snapshot(
    storage_path: Optional[str] = None,
    global_vars_file: str = "global_vars.pkl",
    local_vars_file: str = "local_vars.pkl",
    not_saved_info_file: str = "not_saved_info.pkl",
) -> Tuple[Dict, Dict]:
    """Load the saved snapshot of local and global variables from disk.

    Parameters:
        storage_path (Optional[str]): The storage path. Defaults to None.
        global_vars_file (str): Filename for global variables. Defaults to 'global_vars.pkl'.
        local_vars_file (str): Filename for local variables. Defaults to 'local_vars.pkl'.
        not_saved_info_file (str): Filename for variables that couldn't be saved. Defaults to 'not_saved_info.pkl'.

    Returns:
        Tuple[Dict, Dict]: A tuple containing dictionaries for global and local variables.
    """

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 [e-mail].

Author

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