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https://github.com/python-telegram-bot/python-telegram-bot.git
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111 lines
4.5 KiB
ReStructuredText
111 lines
4.5 KiB
ReStructuredText
==============
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Testing in PTB
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==============
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PTB uses `pytest`_ for testing. To run the tests, you need to
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have pytest installed along with a few other dependencies. You can find the list of dependencies
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in the ``requirements-dev.txt`` file in the root of the repository.
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Running tests
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=============
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To run the entire test suite, you can use the following command:
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.. code-block:: bash
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$ pytest
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This will run all the tests, including the ones which make a request to the Telegram servers, which
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may take a long time (total > 13 mins). To run only the tests that don't require a connection, you
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can run the following command:
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.. code-block:: bash
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$ pytest -m no_req
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Or alternatively, you can run the following command to run only the tests that require a connection:
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.. code-block:: bash
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$ pytest -m req
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To further speed up the tests, you can run them in parallel using the ``-n`` flag (requires `pytest-xdist`_). But beware that
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this will use multiple CPU cores on your machine. The ``--dist`` flag is used to specify how the
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tests will be distributed across the cores. The ``loadgroup`` option is used to distribute the tests
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such that tests marked with ``@pytest.mark.xdist_group("name")`` are run on the same core — important if you want avoid race conditions in some tests:
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.. code-block:: bash
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$ pytest -n auto --dist=loadgroup
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This will result in a significant speedup, but may cause some tests to fail. If you want to run
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the failed tests in isolation, you can use the ``--lf`` flag:
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.. code-block:: bash
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$ pytest --lf
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Writing tests
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=============
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PTB has a separate test file for every file in the ``telegram.*`` namespace. Further, the tests for
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the ``telegram`` module are split into two classes, based on whether the test methods in them make a
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request or not. When writing tests, make sure to split them into these two classes, and make sure
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to name the test class as: ``TestXXXWithoutRequest`` for tests that don't make a request, and ``TestXXXWithRequest`` for tests that do.
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Writing tests is a creative process; allowing you to design your test however you'd like, but there
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are a few conventions that you should follow:
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- Each new test class needs a ``test_slot_behaviour``, ``test_to_dict``, ``test_de_json`` and
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``test_equality`` (in most cases).
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- Make use of pytest's fixtures and parametrize wherever possible. Having knowledge of pytest's
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tooling can help you as well. You can look at the existing tests for examples and inspiration.
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- New fixtures should go into ``conftest.py``. New auxiliary functions and classes, used either directly in the tests or in the fixtures, should go into the ``tests/auxil`` directory.
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If you have made some API changes, you may want to run ``test_official`` to validate that the changes are
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complete and correct. To run it, export an environment variable first:
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.. code-block:: bash
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$ export TEST_OFFICIAL=true
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and then run ``pytest tests/test_official.py``. Note: You need py 3.10+ to run this test.
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We also have another marker, ``@pytest.mark.dev``, which you can add to tests that you want to run selectively.
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Use as follows:
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.. code-block:: bash
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$ pytest -m dev
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Debugging tests
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===============
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Writing tests can be challenging, and fixing failing tests can be even more so. To help with this,
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PTB has started to adopt the use of ``logging`` in the test suite. You can insert debug logging
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statements in your tests to help you understand what's going on. To enable these logs, you can set
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``log_level = DEBUG`` in ``setup.cfg`` or use the ``--log-level=INFO`` flag when running the tests.
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If a test is large and complicated, it is recommended to leave the debug logs for others to use as
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well.
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Bots used in tests
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==================
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If you run the tests locally, the test setup will use one of the two public bots available. Which
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bot of the two gets chosen for the test session is random. Whereas when the tests on the
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Github Actions CI are run, the test setup allocates a different, but same bot is for every combination of Python version and
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OS. The operating systems and Python versions the CI runs the tests on can be viewed in the `corresponding workflow`_.
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That's it! If you have any questions, feel free to ask them in the `PTB dev
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group`_.
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.. _pytest: https://docs.pytest.org/en/stable/
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.. _pytest-xdist: https://pypi.org/project/pytest-xdist/
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.. _PTB dev group: https://t.me/pythontelegrambotgroup
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.. _corresponding workflow: https://github.com/python-telegram-bot/python-telegram-bot/blob/master/.github/workflows/unit_tests.yml
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