gor
gorilla
pypi i gorilla
gor

gorilla

Convenient approach to monkey patching.

by Christopher Crouzet

0.4.0 (see all)License:MIT
pypi i gorilla
Readme

Gorilla

.. image:: https://img.shields.io/travis/christophercrouzet/gorilla/master.svg :target: https://travis-ci.org/christophercrouzet/gorilla :alt: Build status

.. image:: https://img.shields.io/coveralls/christophercrouzet/gorilla/master.svg :target: https://coveralls.io/r/christophercrouzet/gorilla :alt: Coverage Status

.. image:: https://img.shields.io/pypi/v/gorilla.svg :target: https://pypi.python.org/pypi/gorilla :alt: PyPI latest version

.. image:: https://readthedocs.org/projects/gorilla/badge/?version=latest :target: https://gorilla.readthedocs.io :alt: Documentation status

.. image:: https://img.shields.io/pypi/l/gorilla.svg :target: https://pypi.python.org/pypi/gorilla :alt: License

Gorilla is a Python library that provides a convenient approach to monkey patching.

Monkey patching is the process of modifying module and class attributes at runtime with the purpose of replacing or extending third-party code.

Although not a recommended practice, it is sometimes useful to fix or modify the behaviour of a piece of code from a third-party library, or to extend its public interface while making the additions feel like they are built-in into the library.

The Python language makes monkey patching extremely easy but the advantages of Gorilla are multiple, not only in assuring a consistent behaviour on both Python 2 and Python 3 versions, but also in preventing common source of errors, and making the process both intuitive and convenient even when faced with large numbers of patches to create.

Features

  • intuitive and convenient decorator approach to create patches.
  • can create patches for all class or module members at once.
  • compatible with both Python 2 and Python 3.
  • customizable behaviour.

Usage

Thanks to the dynamic nature of Python that makes monkey patching possible, the process happens at runtime without ever having to directly modify the source code of the third-party library:

.. code-block:: python

import gorilla import destination @gorilla.patches(destination.Class) ... class MyClass(object): ... def method(self): ... print("Hello") ... @classmethod ... def class_method(cls): ... print("world!")

The code above creates two patches, one for each member of the class MyClass, but does not apply them yet. In other words, they define the information required to carry on the operation but are not yet inserted into the specified destination class destination.Class.

Such patches created with the decorators can then be automatically retrieved by recursively scanning a package or a module, then applied:

.. code-block:: python

import gorilla import mypackage patches = gorilla.find_patches([mypackage]) for patch in patches: ... gorilla.apply(patch)

See the Tutorial_ section from the documentation for more detailed examples and explanations on how to use Gorilla.

Documentation

Read the documentation online at gorilla.readthedocs.io_ or check its source in the doc directory.

Out There

Projects using Gorilla include:

  • bana <https://github.com/christophercrouzet/bana>_
  • mlflow <https://github.com/mlflow/mlflow>_

Author

Christopher Crouzet <christophercrouzet.com <https://christophercrouzet.com>_>

.. _gorilla.readthedocs.io: https://gorilla.readthedocs.io .. _Tutorial: https://gorilla.readthedocs.io/en/latest/tutorial.html

VersionTagPublished
0.4.0
2yrs ago
0.3.0
6yrs ago
0.2.0
6yrs ago
0.1.0
9yrs ago
No alternatives found
No tutorials found
Add a tutorial
No dependencies found

Rate & Review

100
No reviews found
Be the first to rate