Skip to main content

Dynamic resource-based unittest suites made easy.

Project description

unittest-resources

Dynamic resource-based unittest suites made easy.

Online documentation available at https://ergoithz.gitlab.io/unittest-resources.

Usage

First and foremost, add this package as a project dependency on your setup.py.

from setuptools import setup

setup(
    name='mymodule',
    # ...
    test_suite='tests',
    tests_require=['unittest-resources'],
    #...
    )

That said, this module can be used in three ways:

And then you can run your tests as usual.

python setup.py test

Remember you still have to include your testing dependencies by yourself (like pycodestyle, pydocstyle, mypy or radon) even if they're used only through this package.

Other option, if you feel comfortable about installing all unittest-resources optional dependencies (ie. especially if you're using all classes defined on unittest_resources.testing), is to specify unittest-resources[testing] as dependency.

Using unittest_resources.ResourceTestCase base class

With unittest_resources.ResourceTestCase your base (replacing unittest.TestCase).

import unittest_resources


class MyTestCase(unittest_resources.ResourceTestCase):
    """
    TestCase class with tests autogenerated based on resources.

    This regular :class:`unittest.TestCase`-derived class generates
    test methods by recursively inspecting a module for resources,
    based on special class attributes (prefixed by `meta_`).

    The following functions from :mod:`importlib.resources` are
    available as :class:`staticmethod`s:
    - :func:`importlib.resources.contents` as `contents`
    - :func:`importlib.resources.is_resource` as `is_resource`
    - :func:`importlib.resources.open_binary` as `open_binary`
    - :func:`importlib.resources.open_text` as `open_text`
    - :func:`importlib.resources.path` as `path`
    - :func:`importlib.resources.read_binary` as `read_binary`
    - :func:`importlib.resources.read_text` as `read_text`
    """

    meta_module = 'mymodule'
    meta_prefix = 'mytest_'
    meta_resource_pattern = re.compile(r'\.test_file')

    def meta_test(self, module, resource):
        # type: (str, str) -> None
        """
        Function will be called with every resource found.

        This function received resource-containing module name, and the
        resource name itself.

        :param module: resource-containing module name
        :type module: str
        :param resource: resource name (usually a filename)
        :type resource: str
        """
        with self.path(module, resource) as path:
            self.assertPathStuff(str(path))

        with self.open_text(module, encoding='utf-8') as f:
            self.assertTextFileStuff(f)

        with self.open_binary(module) as f:
            self.assertBytesFileStuff(f)

        text = self.read_text(module, resource)
        self.assertTextStuff(text)

        data = self.read_binary(module, resource)
        self.assertBytesStuff(text)

Using unittest_resources.ResourceTestMeta metaclass

Or, alternatively, using the provided metaclass.

import unittest
import unittest_resources


class MyTestCase(unittest.TestCase,
                 metaclass=unittest_resources.ResourceTestMeta):
    """
    TestCase class with tests autogenerated based on resources.

    This regular :class:`unittest.TestCase`-derived class generates
    test methods by recursively inspecting a module for resources,
    based on special class attributes (prefixed by `meta_`).

    The following functions from :mod:`importlib.resources` are
    available as :class:`staticmethod`s:
    - :func:`importlib.resources.contents` as `contents`
    - :func:`importlib.resources.is_resource` as `is_resource`
    - :func:`importlib.resources.open_binary` as `open_binary`
    - :func:`importlib.resources.open_text` as `open_text`
    - :func:`importlib.resources.path` as `path`
    - :func:`importlib.resources.read_binary` as `read_binary`
    - :func:`importlib.resources.read_text` as `read_text`
    """

    meta_module = 'mymodule'
    meta_prefix = 'mytest_'
    meta_resource_pattern = re.compile(r'\.test_file')

    def meta_test(self, module, resource):
        # type: (str, str) -> None
        """
        Function will be called with every resource found.

        This function received resource-containing module name, and the
        resource name itself.

        :param module: resource-containing module name
        :type module: str
        :param resource: resource name (usually a filename)
        :type resource: str
        """
        with self.path(module, resource) as path:
            self.assertPathStuff(str(path))

        with self.open_text(module, encoding='utf-8') as f:
            self.assertTextFileStuff(f)

        with self.open_binary(module) as f:
            self.assertBytesFileStuff(f)

        text = self.read_text(module, resource)
        self.assertTextStuff(text)

        data = self.read_binary(module, resource)
        self.assertBytesStuff(text)

Using unittest_resources.testing tool integrations

This package provides ready-to-use integrations of some common libraries

import unittest
import unittest_resources.testing


class TestCodeStyle(unittest_resources.testing.CodeStyleTestCase):
    """
    This TestCase class applies pycodestyle to each python file located
    inside a python module.
    """

    meta_module = 'mymodule'

Refer to unittest_resources.testing module itself to see the available classes and unittest_resources.tests.test_code to see how to use them.

Examples

This package own test suite is self-explanatory, and covers covers the usage of this module to run pycodestyle, pydocstyle, mypy and radon over project code.

You can either subclass and customize them to run on your code, or use them as an example to integrate other tools.

License

MIT (see LICENSE file).

Changelog

See CHANGELOG file.

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

unittest-resources-0.2.0.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

unittest_resources-0.2.0-py2.py3-none-any.whl (12.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file unittest-resources-0.2.0.tar.gz.

File metadata

  • Download URL: unittest-resources-0.2.0.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4

File hashes

Hashes for unittest-resources-0.2.0.tar.gz
Algorithm Hash digest
SHA256 98256993dd5ec3cc92df8841a16ee7c4cac72ec650c365c7ebd1f2c278daba72
MD5 ce8518d302896ff42e39ff7c85b967af
BLAKE2b-256 6b46bc41370dbe3c448ec3b0331e0c92aaa76df91de7c00e4db5c7a91e30b693

See more details on using hashes here.

File details

Details for the file unittest_resources-0.2.0-py2.py3-none-any.whl.

File metadata

  • Download URL: unittest_resources-0.2.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4

File hashes

Hashes for unittest_resources-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c792c3e4bc4f18df3f4b4160dcb235a50c9dec84e177254e4e5af24a85cb0527
MD5 570ff6f7a36f5bc31d58195bdd7808ee
BLAKE2b-256 a931503337c523e643911a4af2cd57c662d7df6cd3b150beabb80de1de3f3eb3

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