pyfakefs

pyfakefs implements a fake file system that mocks the Python file system modules. Using pyfakefs, your tests operate on a fake file system in memory without touching the real disk. The software under test requires no modification to work with pyfakefs.

pyfakefs creates a new empty in-memory file system at each test start, which replaces the real filesystem during the test. Think of pyfakefs as making a per-test temporary directory, except for an entire file system.

pyfakefs is tested with current versions of Linux, Windows and macOS.

Usage

There are several ways to invoke pyfakefs:

• using the fs fixture with pytest
• deriving from fake_filesystem_unittest.TestCase for unittest
• using fake_filesystem_unittest.Patcher as context manager
• using the fake_filesystem_unittest.patchfs decorator on a single test

Refer to the usage documentation for more information.

Documentation

• Release documentation covers the latest released version
• Development documentation for the current main branch
• Release Notes
• Contributing Guide - contributions are welcome!

Features

Apart from automatically mocking most file-system functions, pyfakefs provides some additional features:

• mapping files and directories from the real file system into the fake filesystem
• configuration and tracking of the file system size
• pause and resume of patching to be able to use the real file system inside a test step
• (limited) emulation of other OSes (Linux, macOS or Windows)
• configuration to behave as if running as a non-root user while running under root

Limitations

pyfakefs will not work with Python libraries that use C libraries to access the file system. This is because pyfakefs cannot patch the underlying C libraries' file access functions--the C libraries will always access the real file system. Refer to the documentation for more information about the limitations of pyfakefs.

Contributions

We are always grateful for meaningful contributions - refer to the contributing guide for more information. However, we value human contributions, not purly AI-generated code. The usage of AI tools is helpful and completely fine, provided that the authors use them as tools and understand what they are doing. Our policy regarding AI contributions is in line with the respective pytest policy. Please refer to that policy for details and background.

History

pyfakefs.py was initially developed at Google by Mike Bland as a modest fake implementation of core Python modules. It was introduced to all of Google in September 2006. At last count, pyfakefs was used in over 20,000 Python tests at Google.

Google released pyfakefs to the public in 2011 as a Google Code project. Support for unittest and doctest was added in a fork by user jmcgeheeiv, further corrections were made in a separate fork with user shiffdane, and after the shutdown of Google Code was announced, John McGehee merged all three Google Code projects together here on GitHub. In 2022, the repository has been transferred to pytest-dev to ensure continuous maintenance.