Docutils Testing

Testing across multiple Python versions

A Docutils release has a commitment to support a minimum Python version and beyond (see dependencies in README.rst). Before a release is cut, tests must pass in all supported versions. [1]

You can use tox to test with all supported versions in one go. From the shell:

cd docutils
tox

To test a specific version, use the pyNNN environment. For example:

tox -e py312

pyenv can be installed and configured (see installing pyenv) to get multiple Python versions:

# assuming your system runs Python 3.12
pyenv install 3.10
pyenv install 3.11
pyenv global system 3.10 3.11 3.12

# reset your shims
rm -rf ~/.pyenv/shims && pyenv rehash

This will give you python3.10 through python3.12. Then run:

python3.10 -u alltests.py
[...]
python3.12 -u alltests.py

Writing New Tests

When writing new tests, it very often helps to see how a similar test is implemented. For example, the files in the test_parsers/test_rst/ directory all look very similar. So when adding a test, you don't have to reinvent the wheel.

If there is no similar test, you can write a new test from scratch using Python's unittest module. For an example, please have a look at the following imaginary test_square.py:

#! /usr/bin/env python3

# $Id$
# Author: Your Name <your_email_address@example.org>
# Copyright: This module has been placed in the public domain.

"""
Test module for docutils.square.
"""

import unittest
if __name__ == '__main__':
    # prepend the "docutils root" to the Python library path
    # so we import the local `docutils` package.
    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))

import docutils.square


class SquareTest(unittest.TestCase):

    def test_square(self):
        self.assertEqual(docutils.square.square(0), 0)
        self.assertEqual(docutils.square.square(5), 25)
        self.assertEqual(docutils.square.square(7), 49)

    def test_square_root(self):
        self.assertEqual(docutils.square.sqrt(49), 7)
        self.assertEqual(docutils.square.sqrt(0), 0)
        self.assertRaises(docutils.square.SquareRootError,
                          docutils.square.sqrt, 20)


if __name__ == '__main__':
    unittest.main()

For more details on how to write tests, please refer to the documentation of the unittest module.

Directory Structure

• functional/ The main data directory.

  • input/ The input files.

    • some_test.rst, for example.

  • output/ The actual output.

    • some_test.html, for example.

  • expected/ The expected output.

    • some_test.html, for example.

  • tests/ The config files for processing the input files.

    • some_test.py, for example.

The Testing Process

When running test_functional.py, all config files in functional/tests/ are processed. (Config files whose names begin with an underscore are ignored.) The current working directory is always Docutils' main test directory (test/).

For example, functional/tests/some_test.py could read like this:

# Source and destination file names.
test_source = "some_test.rst"
test_destination = "some_test.html"

# Keyword parameters passed to publish_file.
reader_name = "standalone"
parser_name = "rst"
writer_name = "html"
settings_overrides['output-encoding'] = 'utf-8'
# Relative to main ``test/`` directory.
settings_overrides['stylesheet_path'] = '../docutils/writers/html4css1/html4css1.css'

The two variables test_source and test_destination contain the input file name (relative to functional/input/) and the output file name (relative to functional/output/ and functional/expected/). Note that the file names can be chosen arbitrarily. However, the file names in functional/output/ must match the file names in functional/expected/.

test_source and test_destination are removed from the namespace, as are all variables whose names begin with an underscore ("_"). The remaining names are passed as keyword arguments to docutils.core.publish_file, so you can set reader, parser, writer and anything else you want to configure. Note that settings_overrides is already initialized as a dictionary before the execution of the config file.

Creating New Tests

In order to create a new test, put the input test file into functional/input/. Then create a config file in functional/tests/ which sets at least input and output file names, reader, parser and writer.

Now run test_functional.py. The test will fail, of course, because you do not have an expected output yet. However, an output file will have been generated in functional/output/. Check this output file for validity [2] and correctness. Then copy the file to functional/expected/.

If you rerun test_functional.py now, it should pass.

If you run test_functional.py later and the actual output doesn't match the expected output anymore, the test will fail.

If this is the case and you made an intentional change, check the actual output for validity and correctness, copy it to functional/expected/ (overwriting the old expected output), and commit the change.