env-cleanup-utils 0.1.0

Tool for cleaning up python virtual environments (venv), __pycache__, node_modules directories and saving requirements.txt for entire directory trees

env_cleanup_utils

A Python package for cleaning up virtual environments (venv), __pycache__, and node_modules directories within a directory tree. It also saves the requirements of virtual environments to a requirements.txt file. It is capable of traversing the subdirectories and finding all virtual environments

Installation

You can install the env_cleanup_utils package using pip:

pip install env_cleanup_utils

Usage

Command Line Usage

You can use env_cleanup_utils as a command-line utility by running the following command:

python -m env_cleanup_utils [OPTIONS] ROOT_DIR

Replace ROOT_DIR with the root directory where you want to search for virtual environments.

Options:

• --delete-all: Delete venvs, __pycache__, and node_modules directories.
• --delete-venv: Delete virtual environments.
• --delete-pycache: Delete __pycache__ directories (confirmed automatically).
• --delete-node: Delete node_modules directories.
• -y: Auto-confirm all deletion prompts.
• --debug: Enable debug mode for additional logging.

Python API

You can also use env_cleanup_utils programmatically in your Python code. Import the necessary functions and classes from the package and call them as needed.

Example:

from env_cleanup_utils import (
    find_venv_dirs,
    find_pycache_dirs,
    find_node_modules_dirs,
    save_requirements,
    delete_venv,
    delete_pycache,
    delete_node_modules,
)

# Use the functions and classes as needed.

Sample Usage

# Example command line usage:
python -m env_cleanup_utils ./my_project_directory --delete-venv --debug

# Example Python API usage:
from env_cleanup_utils import (
    find_venv_dirs,
    save_requirements,
    delete_venv,
)

root_dir = "./my_project_directory"
venv_dirs = find_venv_dirs(root_dir)

for venv_dir in venv_dirs:
    save_requirements(venv_dir)
    delete_venv(venv_dir)

Contributing

If you would like to contribute to the development of the env_cleanup_utils package by adding more functionality, you are welcome to open a pull request.

References

• Github repository
• PyPI package

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Please ensure you have the required permissions before running the tool, and use it responsibly. This package is provided as-is, without any warranty or guarantee.