1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238
|
TAP Producers
=============
tappy integrates with ``unittest`` based test cases to produce TAP output.
The producers come in three varieties:
support with only the standard library,
support for `nose <https://nose.readthedocs.io/en/latest/>`_,
and support for `pytest <http://pytest.org/latest/>`_.
* ``TAPTestRunner`` - This subclass of ``unittest.TextTestRunner`` provides all
the functionality of ``TextTestRunner`` and generates TAP files or streams.
* tappy for **nose** - tappy provides a plugin (simply called ``TAP``)
for the **nose** testing tool.
* tappy for **pytest** - tappy provides a plugin called ``tap``
for the **pytest** testing tool.
* tappy as the test runner - tappy can run like ``python -m unittest``.
Run your test suite with ``python -m tap``.
By default, the producers will create one TAP file for each ``TestCase``
executed by the test suite.
The files will use the name of the test case class with a ``.tap``
extension. For example:
.. code-block:: python
class TestFoo(unittest.TestCase):
def test_identity(self):
"""Test numeric equality as an example."""
self.assertTrue(1 == 1)
The class will create a file named ``TestFoo.tap`` containing the following.
.. code-block:: tap
# TAP results for TestFoo
ok 1 - Test numeric equality as an example.
1..1
The producers also have streaming modes which bypass the default runner
output and write TAP to the output stream instead of files. This is useful
for piping output directly to tools that read TAP natively.
.. code-block:: tap
$ nosetests --with-tap --tap-stream tap.tests.test_parser
# TAP results for TestParser
ok 1 - test_after_hash_is_not_description (tap.tests.test_parser.TestParser)
ok 2 - The parser extracts a bail out line.
ok 3 - The parser extracts a diagnostic line.
ok 4 - The TAP spec dictates that anything less than 13 is an error.
ok 5 - test_finds_description (tap.tests.test_parser.TestParser)
ok 6 - The parser extracts a not ok line.
ok 7 - The parser extracts a test number.
ok 8 - The parser extracts an ok line.
ok 9 - The parser extracts a plan line.
ok 10 - The parser extracts a plan line containing a SKIP.
1..10
.. image:: images/stream.gif
Examples
--------
The ``TAPTestRunner`` works like the ``TextTestRunner``. To use the runner,
load test cases using the ``TestLoader`` and pass the tests to the run method.
The sample below is the test runner used with tappy's own tests.
.. literalinclude:: ../tap/tests/run.py
:lines: 3-
Running tappy with **nose** is as straightforward as enabling the plugin
when calling ``nosetests``.
.. code-block:: console
$ nosetests --with-tap
...............
----------------------------------------------------------------------
Ran 15 tests in 0.020s
OK
The **pytest** plugin is automatically activated for **pytest**
when tappy is installed.
Because it is automatically activated,
**pytest** users should specify an output style.
.. code-block:: console
$ py.test --tap-files
=========================== test session starts ============================
platform linux2 -- Python 2.7.6 -- py-1.4.30 -- pytest-2.7.2
rootdir: /home/matt/tappy, inifile:
plugins: tap.py
collected 94 items
tests/test_adapter.py .....
tests/test_directive.py ......
tests/test_line.py ......
tests/test_loader.py ......
tests/test_main.py .
tests/test_nose_plugin.py ......
tests/test_parser.py ................
tests/test_pytest_plugin.py .........
tests/test_result.py .......
tests/test_rules.py ........
tests/test_runner.py .......
tests/test_tracker.py .................
======================== 94 passed in 0.24 seconds =========================
The configuration options for each TAP tool are listed
in the following sections.
TAPTestRunner
-------------
You can configure the ``TAPTestRunner`` from a set of class or instance
methods.
* ``set_stream`` - Enable streaming mode to send TAP output directly to
the output stream. Use the ``set_stream`` instance method.
.. code-block:: python
runner = TAPTestRunner()
runner.set_stream(True)
* ``set_outdir`` - The ``TAPTestRunner`` gives the user the ability to
set the output directory. Use the ``set_outdir`` class method.
.. code-block:: python
TAPTestRunner.set_outdir('/my/output/directory')
* ``set_combined`` - TAP results can be directed into a single output file.
Use the ``set_combined`` class method to store the results in
``testresults.tap``.
.. code-block:: python
TAPTestRunner.set_combined(True)
* ``set_format`` - Use the ``set_format`` class method to change the
format of result lines. ``{method_name}`` and ``{short_description}``
are available options.
.. code-block:: python
TAPTestRunner.set_format('{method_name}: {short_description}')
* ``set_header`` - Turn off or on the test case header output.
The default is ``True`` (ie, the header is displayed.)
Use the ``set_header`` instance method.
.. code-block:: python
runner = TAPTestRunner()
runner.set_header(False)
nose TAP Plugin
---------------
.. note::
To use this plugin, install it with ``pip install nose-tap``.
The **nose** TAP plugin is configured from command line flags.
* ``--with-tap`` - This flag is required to enable the plugin.
* ``--tap-stream`` - Enable streaming mode to send TAP output directly to
the output stream.
* ``--tap-combined`` - Store test results in a single output file
in ``testresults.tap``.
* ``--tap-outdir`` - The **nose** TAP plugin also supports an optional
output directory when you don't want to store the ``.tap`` files
wherever you executed ``nosetests``.
Use ``--tap-outdir`` followed by a directory path to store the files
in a different place. The directory will be created if it does not exist.
* ``--tap-format`` - Provide a different format for the result lines.
``{method_name}`` and ``{short_description}`` are available options.
For example, ``'{method_name}: {short_description}'``.
pytest TAP Plugin
-----------------
.. note::
To use this plugin, install it with ``pip install pytest-tap``.
The **pytest** TAP plugin is configured from command line flags.
Since **pytest** automatically activates the TAP plugin,
the plugin does nothing by default.
Users must enable a TAP output mode
(via ``--tap-stream|files|combined``)
or the plugin will take no action.
* ``--tap-stream`` - Enable streaming mode to send TAP output directly to
the output stream.
* ``--tap-files`` - Store test results in individual test files.
One test file is created for each test case.
* ``--tap-combined`` - Store test results in a single output file
in ``testresults.tap``.
* ``--tap-outdir`` - The **pytest** TAP plugin also supports an optional
output directory when you don't want to store the ``.tap`` files
wherever you executed ``py.test``.
Use ``--tap-outdir`` followed by a directory path to store the files
in a different place. The directory will be created if it does not exist.
Python and TAP
--------------
The TAP specification is open-ended
on certain topics.
This section clarifies how tappy interprets these topics.
The specification indicates that a test line represents a "test point"
without explicitly defining "test point."
tappy assumes that each test line is **per test method**.
TAP producers in other languages may output test lines **per assertion**,
but the unit of work in the Python ecosystem is the test method
(i.e. ``unittest``, nose, and pytest all report per method by default).
tappy does not permit setting the plan.
Instead, the plan is a count of the number of test methods executed.
Python test runners execute all test methods in a suite,
regardless of any errors encountered.
Thus, the test method count should be an accurate measure for the plan.
|