Skip to main content

Install requirements and run code in virtual environments from the comfort of your own GIL

Project description

Venvception

GitHub Workflow Status (with event)

Venvception is a Python library designed to simplify the process of creating and using temporary virtual environments when you have good reason to stay in the same process. It provides a context manager that automates the setup of a virtual environment, installs specified packages from a requirements.txt file, and ensures that the environment is used for the duration of the context.

venvception in action

Why?

In distributed contexts, it can be convenient to ship a requirements specification rather than pre-baking containers. This library is quick and dirty.

Installation

To install Venvception, run the following command:

pip install venvception

Quick Start / Usage

Here's a simple example to get started with Venvception:

from venvception import venv
from pathlib import Path

# Specify the path to your requirements file
requirements_path = Path("path/to/your/requirements.txt")

# Use the venv context manager to create and activate the virtual environment
with venv(requirements_path) as venv_path:
    # Import a module from the requirements.txt
    import your_module

    # You can also access the path to the virtual environment via `venv_path`
    print(f"Virtual environment created at: {venv_path}")

Ensure your requirements.txt file is properly formatted and accessible at the specified path.

Accessing the Virtual Environment's Path

The context manager yields the path to the temporary virtual environment, allowing you to interact with it directly:

with venv(Path("requirements.txt")) as venv_path:
    print(venv_path)

Contributing

Contributions to Venvception are welcome! Please feel free to submit pull requests, report bugs, or suggest features through the issue tracker.

License

Venvception is released under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

venvception-0.0.5.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

venvception-0.0.5-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file venvception-0.0.5.tar.gz.

File metadata

  • Download URL: venvception-0.0.5.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for venvception-0.0.5.tar.gz
Algorithm Hash digest
SHA256 d947332bef0ae911f117eedd21f457dd1abd0f34c8aee1cc89c4daef6dc239f0
MD5 7dc35ee3379b649d54ca0e057f581a08
BLAKE2b-256 fee9ef8ed5fd8864400fd30b73ae3c64ccc7934c54059502f0a750a1123ddca1

See more details on using hashes here.

File details

Details for the file venvception-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: venvception-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for venvception-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 cace2eb4e7f0ace1330bac8b1f5bdeed8b2c1dae8a5affc413efde7b21884f53
MD5 6403738e3fdeaf2520b0714e93741cfe
BLAKE2b-256 e8cca58aa9332be75a1af80f10120026f0c85ef58b9676a4b7db3cc333a4af91

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page