A package to dynamically inject requirements into a virtual environment.
Project description
Requirement Manager
This project provides a RequirementManager
(requires
is an alias) class to manage Python package requirements using virtual environments. It can be used as a decorator or context manager to ensure specific packages are installed and available during the execution of a function or code block.
Features
- Automatically creates and manages virtual environments.
- Checks if the required packages are already installed.
- Installs packages if they are not already available.
- Supports ephemeral virtual environments that are deleted after use.
- Can be used as a decorator or context manager.
Installation
pip install pydepinject
Usage
Decorator
To use the requires
as a decorator, simply decorate your function with the required packages:
from pydepinject import requires
@requires("requests", "numpy")
def my_function():
import requests
import numpy as np
print(requests.__version__)
print(np.__version__)
my_function()
Context Manager
You can also use the requires
as a context manager:
from pydepinject import requires
with requires("requests", "numpy"):
import requests
import numpy as np
print(requests.__version__)
print(np.__version__)
Virtual Environment with specific name
The requires
can create a virtual environment with a specific name:
@requires("requests", venv_name="myenv")
def my_function():
import requests
print(requests.__version__)
with requires("pylint", venv_name="myenv"):
import pylint
print(pylint.__version__)
import requests # This is also available here because it was installed in the same virtual environment
print(requests.__version__)
# The virtual environment name can also be set as PYDEPINJECT_VENV_NAME environment variable
import os
os.environ["PYDEPINJECT_VENV_NAME"] = "myenv"
@requires("requests")
def my_function():
import requests
print(requests.__version__)
with requires("pylint"):
import pylint
print(pylint.__version__)
import requests # This is also available here because it was installed in the same virtual environment
print(requests.__version__)
Reusable Virtual Environments
The requires
can create named virtual environments and reuse them across multiple functions or code blocks:
@requires("requests", venv_name="myenv", ephemeral=False)
def my_function():
import requests
print(requests.__version__)
with requires("pylint", venv_name="myenv", ephemeral=False):
import pylint
print(pylint.__version__)
import requests # This is also available here because it was installed in the same virtual environment
print(requests.__version__)
Managing Virtual Environments
The requires
can automatically delete ephemeral virtual environments after use. This is useful when you want to ensure that the virtual environment is clean and does not persist after the function or code block completes:
@requires("requests", venv_name="myenv", ephemeral=True)
def my_function():
import requests
print(requests.__version__)
my_function()
Logging
The requires
uses the logging
module to provide debug information. By default, it logs to the console at the DEBUG level. You can adjust the logging configuration as needed.
Unit Tests
Unit tests are provided to verify the functionality of the requires
. The tests use pytest
and cover various scenarios including decorator usage, context manager usage, ephemeral environments, and more.
Running Tests
To run the unit tests, ensure you have pytest
installed, and then execute the following command:
pytest
License
This project is licensed under the MIT License. See the LICENSE file for more details.
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