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Metadata-Version: 2.1 Name: pytest-snapshot Version: 0.9.0 Summary: A plugin for snapshot testing with pytest. Home-page: https://github.com/joseph-roitman/pytest-snapshot Author: Joseph Roitman Author-email: joseph.roitman@gmail.com Maintainer: Joseph Roitman Maintainer-email: joseph.roitman@gmail.com License: MIT Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Framework :: Pytest Classifier: Intended Audience :: Developers Classifier: Topic :: Software Development :: Testing Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Operating System :: OS Independent Classifier: License :: OSI Approved :: MIT License Requires-Python: >=3.5 License-File: LICENSE Requires-Dist: pytest (>=3.0.0) =============== pytest-snapshot =============== .. image:: https://img.shields.io/pypi/v/pytest-snapshot.svg :target: https://pypi.org/project/pytest-snapshot :alt: PyPI version .. image:: https://img.shields.io/pypi/pyversions/pytest-snapshot.svg :target: https://pypi.org/project/pytest-snapshot :alt: Python versions .. image:: https://github.com/joseph-roitman/pytest-snapshot/workflows/CI/badge.svg?branch=master :target: https://github.com/joseph-roitman/pytest-snapshot/actions?workflow=CI :alt: CI Status .. image:: https://img.shields.io/codecov/c/github/joseph-roitman/pytest-snapshot.svg?style=flat :alt: Coverage :target: https://codecov.io/gh/joseph-roitman/pytest-snapshot A plugin for snapshot testing with pytest. This library was inspired by `jest's snapshot testing`_. Snapshot testing can be used to test that the value of an expression does not change unexpectedly. The added benefits of snapshot testing are that * They are easy to create. * They are easy to update when the expected value of a test changes. Instead of manually updating tests when the expected value of an expression changes, the developer simply needs to 1. run ``pytest --snapshot-update`` to update the snapshot tests 2. verify that the snapshot files contain the new expected results 3. commit the snapshot changes to version control Features -------- * snapshot testing of strings and bytes * snapshot testing of (optionally nested) collections of strings and bytes * complete control of the snapshot file path and content Requirements ------------ * Python 3.5+ or `PyPy`_ * `pytest`_ 3.0+ Installation ------------ You can install "pytest-snapshot" via `pip`_ from `PyPI`_:: $ pip install pytest-snapshot Usage ----- assert_match ============ A classic equality test looks like: .. code-block:: python def test_function_output(): assert foo('function input') == 'expected result' It could be re-written using snapshot testing as: .. code-block:: python def test_function_output_with_snapshot(snapshot): snapshot.snapshot_dir = 'snapshots' # This line is optional. snapshot.assert_match(foo('function input'), 'foo_output.txt') The author of the test should then 1. run ``pytest --snapshot-update`` to generate the snapshot file ``snapshots/foo_output.txt`` containing the output of ``foo()``. 2. verify that the content of the snapshot file is valid. 3. commit it to version control. Now, whenever the test is run, it will assert that the output of ``foo()`` is equal to the snapshot. What if the behaviour of ``foo()`` changes and the test starts to fail? In the first example, the developer would need to manually update the expected result in ``test_function_output``. This could be tedious if the expected result is large or there are many tests. In the second example, the developer would simply 1. run ``pytest --snapshot-update`` 2. verify that the snapshot file contains the new expected result 3. commit it to version control. Snapshot testing can be used for expressions whose values are strings or bytes. For other types, you should first create a *human readable* representation of the value. For example, to snapshot test a *json-serializable* value, you could either convert it into json or preferably convert it into the more readable yaml format using `PyYAML`_: .. code-block:: python snapshot.assert_match(yaml.dump(foo()), 'foo_output.yml') assert_match_dir ================ When snapshot testing a *collection* of values, ``assert_match_dir`` comes in handy. It will save a snapshot of a collection of values as a directory of snapshot files. ``assert_match_dir`` takes a dictionary from file name to value. Dictionaries can also be nested to create nested directories containing snapshot files. For example, the following code creates the directory ``snapshots/people`` containing files ``john.json`` and ``jane.json``. .. code-block:: python def test_something(snapshot): snapshot.snapshot_dir = 'snapshots' snapshot.assert_match_dir({ 'john.json': '{"first name": "John", "last name": "Doe"}', 'jane.json': '{"first name": "Jane", "last name": "Doe"}', }, 'people') When running ``pytest --snapshot-update``, snapshot files will be added, updated, or deleted as necessary. As a safety measure, snapshots will only be deleted when using the ``--allow-snapshot-deletion`` flag. Common use case =============== A quick way to create snapshot tests is to create a directory containing many test case directories. In each test case, add files containing the inputs to the function you wish to test. For example: .. code-block:: test_cases case1 input.json case2 input.json ... Next, add a test that is parametrized on all test case directories. The test should * read input from the test case directory * call the function to be tested * snapshot the result to the test case directory .. code-block:: python import json import os import pytest import yaml from pathlib import Path def json_to_yaml(json_string): obj = json.loads(json_string) return yaml.dump(obj, indent=2) @pytest.mark.parametrize('case_dir', list(Path('test_cases').iterdir())) def test_json(case_dir, snapshot): # Read input files from the case directory. input_json = case_dir.joinpath('input.json').read_text() # Call the tested function. output_yaml = json_to_yaml(input_json) # Snapshot the return value. snapshot.snapshot_dir = case_dir snapshot.assert_match(output_yaml, 'output.yml') Now, we can run ``pytest --snapshot-update`` to create an ``output.yml`` snapshot for each test case. If we later decide to modify the tested function's behaviour, we can fix the test cases with another ``pytest --snapshot-update``. Similar Packages ---------------- Another python package that can be used for snapshot testing is `snapshottest`_. While this package and snapshottest fulfill the same role, there are some differences. With pytest-snapshot: * Every snapshot is saved to a separate file. * The paths to snapshot files are fully customizable. * The serialization of objects to snapshots is fully customizable (the library does not serialize). This allows the user to organize snapshots in the most human-readable and logical place in their code repository. This is highly beneficial since snapshots will be viewed by users many times during development and code reviews. Contributing ------------ Contributions are very welcome. Before contributing, please discuss the change with me. I wish to keep this plugin flexible and not enforce any project layout on the user. Tests can be run with `tox`_ or ``python -m pytest``. Note that the test suite does not pass when run with ``--assert=plain``. License ------- Distributed under the terms of the `MIT`_ license, "pytest-snapshot" is free and open source software. Issues ------ If you encounter any problems, please `file an issue`_ along with a detailed description. Links ----- * Releases: https://pypi.org/project/pytest-snapshot/ * Code: https://github.com/joseph-roitman/pytest-snapshot ---- This `pytest`_ plugin was generated with `Cookiecutter`_ along with `@hackebrot`_'s `cookiecutter-pytest-plugin`_ template. .. _`Cookiecutter`: https://github.com/audreyr/cookiecutter .. _`@hackebrot`: https://github.com/hackebrot .. _`MIT`: http://opensource.org/licenses/MIT .. _`BSD-3`: http://opensource.org/licenses/BSD-3-Clause .. _`GNU GPL v3.0`: http://www.gnu.org/licenses/gpl-3.0.txt .. _`Apache Software License 2.0`: http://www.apache.org/licenses/LICENSE-2.0 .. _`cookiecutter-pytest-plugin`: https://github.com/pytest-dev/cookiecutter-pytest-plugin .. _`file an issue`: https://github.com/joseph-roitman/pytest-snapshot/issues .. _`pytest`: https://github.com/pytest-dev/pytest .. _`tox`: https://tox.readthedocs.io/en/latest/ .. _`pip`: https://pypi.org/project/pip/ .. _`PyPI`: https://pypi.org .. _`PyPy`: https://www.pypy.org/ .. _`jest's snapshot testing`: https://jestjs.io/docs/en/snapshot-testing .. _`PyYAML`: https://pypi.org/project/PyYAML/ .. _`snapshottest`: https://github.com/syrusakbary/snapshottest