Skip to main content

pyfakefs implements a fake file system that mocks the Python file system modules.

Project description

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 works with Linux, Windows and MacOS.

Documentation

This file provides general usage instructions for pyfakefs. There is more:

  • The documentation at GitHub Pages:

    • The Release documentation contains usage documentation for pyfakefs and a description of the most relevent classes, methods and functions for the last version released on PyPi

    • The Development documentation contains the same documentation for the current master branch

    • The Release 3.3 documentation contains usage documentation for the last version of pyfakefs supporting Python 2.6, and for the old-style API (which is still supported but not documented in the current release)

  • The Release Notes show a list of changes in the latest versions

Linking to pyfakefs

In your own documentation, please link to pyfakefs using the canonical URL http://pyfakefs.org. This URL always points to the most relevant top page for pyfakefs.

Usage

There are several approaches to implementing tests using pyfakefs.

Automatically find and patch

The first approach is to allow pyfakefs to automatically find all real file functions and modules, and stub these out with the fake file system functions and modules.
This is explained in the pyfakefs wiki page Automatically find and patch file functions and modules and demonstrated in files example.py and example_test.py.

Patch using the PyTest plugin

If you use PyTest, you will be interested in the PyTest plugin in pyfakefs. This automatically patches all file system functions and modules in a manner similar to the automatic find and patch approach described above.

The PyTest plugin provides the fs fixture for use in your test. For example:

def my_fakefs_test(fs):
    # "fs" is the reference to the fake file system
    fs.create_file('/var/data/xx1.txt')
    assert os.path.exists('/var/data/xx1.txt')

Patch using fake_filesystem_unittest.Patcher

If you are using other means of testing like nose, you can do the patching using fake_filesystem_unittest.Patcher - the class doing the the actual work of replacing the filesystem modules with the fake modules in the first two approaches.

The easiest way is to just use Patcher as a context manager:

from fake_filesystem_unittest import Patcher

with Patcher() as patcher:
   # access the fake_filesystem object via patcher.fs
   patcher.fs.create_file('/foo/bar', contents='test')

   # the following code works on the fake filesystem
   with open('/foo/bar') as f:
       contents = f.read()

You can also initialize Patcher manually:

from fake_filesystem_unittest import Patcher

patcher = Patcher()
patcher.setUp()     # called in the initialization code
...
patcher.tearDown()  # somewhere in the cleanup code

Patch using unittest.mock (deprecated)

You can also use mock.patch() to patch the modules manually. This approach will only work for the directly imported modules, therefore it is not suited for testing larger code bases. As the other approaches are more convenient, this one is considered deprecated. You have to create a fake filesystem object, and afterwards fake modules based on this file system for the modules you want to patch.

The following modules and functions can be patched:

  • os and os.path by fake_filessystem.FakeOsModule

  • io by fake_filessystem.FakeIoModule

  • pathlib by fake_pathlib.FakePathlibModule

  • build-in open() by fake_filessystem.FakeFileOpen

import pyfakefs.fake_filesystem as fake_fs

# Create a faked file system
fs = fake_fs.FakeFilesystem()

# Do some setup on the faked file system
fs.CreateFile('/foo/bar', contents='test')

# Replace some built-in file system related modules you use with faked ones

# Assuming you are using the mock library to ... mock things
try:
    from unittest.mock import patch  # In Python 3, mock is built-in
except ImportError:
    from mock import patch  # Python 2

# Note that this fake module is based on the fake fs you just created
os = fake_fs.FakeOsModule(fs)
with patch('mymodule.os', os):
    fd = os.open('/foo/bar', os.O_RDONLY)
    contents = os.read(fd, 4)

Installation

Compatibility

pyfakefs works with CPython 2.7, 3.3 and above, on Linux, Windows and OSX (MacOS), and with PyPy2 and PyPy3.

pyfakefs works with PyTest version 2.8.6 or above.

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. For example, pyfakefs will not work with `lxml <http://lxml.de/>`__. In this case lxml must be replaced with a pure Python alternative such as `xml.etree.ElementTree <https://docs.python.org/3/library/xml.etree.elementtree.html>`__.

PyPi

pyfakefs is available on PyPi.

Development

Continuous integration

pyfakefs is currently automatically tested: * On Linux, with Python 2.7, 3.3 and above using Travis * On MacOS, with Python 2.7 and 3.6, also using Travis. The Linux/MacOS build is currently Build Status. * On Windows, with Python 2.7, 3.4 and above using Appveyor. The Windows build is currently Build status.

Running pyfakefs unit tests

pyfakefs unit tests are available via two test scripts:

$ python all_tests.py
$ py.test pytest_plugin_test.py

These scripts are called by tox and Travis-CI. tox can be used to run tests locally against supported python versions:

$ tox

Contributing to pyfakefs

We always welcome contributions to the library. Check out the Contributing Guide for more information.

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. Since then, it has been enhanced to extend its functionality and usefulness. At last count, pyfakefs is used in over 2,000 Python tests at Google.

Google released pyfakefs to the public in 2011 as Google Code project pyfakefs: * Fork jmcgeheeiv-pyfakefs added direct support for unittest and doctest * Fork shiffdane-jmcgeheeiv-pyfakefs added further corrections

After the shutdown of Google Code was announced, John McGehee merged all three Google Code projects together here on GitHub where an enthusiastic community actively supports, maintains and extends pyfakefs.

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

pyfakefs-3.4.tar.gz (73.5 kB view details)

Uploaded Source

Built Distribution

pyfakefs-3.4-py2.py3-none-any.whl (63.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyfakefs-3.4.tar.gz.

File metadata

  • Download URL: pyfakefs-3.4.tar.gz
  • Upload date:
  • Size: 73.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyfakefs-3.4.tar.gz
Algorithm Hash digest
SHA256 e292ccf9d2cca9e25b200a29e9ca9d6b4d751b3d34c205c9f84373f2157804a2
MD5 957970223cf68e42b32912b8a73e3c54
BLAKE2b-256 abc4eb59988e31e4ddcf8ecfd56f82894e05642d51f53a575cbf11179eefa4de

See more details on using hashes here.

File details

Details for the file pyfakefs-3.4-py2.py3-none-any.whl.

File metadata

  • Download URL: pyfakefs-3.4-py2.py3-none-any.whl
  • Upload date:
  • Size: 63.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/3.6.3

File hashes

Hashes for pyfakefs-3.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 45b87245f18e041cf03e81a7200349892a155ebaf9bd8725a00e9f703003aef5
MD5 b2e20bcb5b56218402c389c7ef4e382e
BLAKE2b-256 f508271bb57f0f9bdf6bceb2d50fcd977ef9f9aaba86deaffaf26292187bde28

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