.. image:: https://img.shields.io/pypi/v/pytest-azurepipelines.svg :target: https://pypi.org/project/pytest-azurepipelines :alt: PyPI version
.. image:: https://img.shields.io/pypi/pyversions/pytest-azurepipelines.svg :target: https://pypi.org/project/pytest-azurepipelines :alt: Python versions
.. image:: https://img.shields.io/pypi/dm/pytest-azurepipelines.svg :target: https://pypi.python.org/pypi/pytest-azurepipelines/ :alt: PyPI download month
.. image:: https://anaconda.org/conda-forge/pytest-azurepipelines/badges/version.svg :target: https://anaconda.org/conda-forge/pytest-azurepipelines
Making Pytest easier to use with Microsoft Azure Pipelines.
Just run pytest with this plugin and see your test results in the Azure Pipelines UI!
Features:
You can install "pytest-azurepipelines" via pip
from PyPI
::
$ pip install pytest-azurepipelines
This plugin requires no configuration.
Here is an example of installing the plugin and running the tests.
.. code-block:: yaml
script: | python -m pip install --upgrade pip pip install pytest pytest-azurepipelines pip install -e . displayName: 'Install dependencies'
script: | python -m pytest tests/ displayName: 'pytest'
If you want to change the Azure Pipelines "Test Run Title", you can provide the --test-run-title
flag with the run title.
.. code-block:: yaml
If you have long docstrings in your functions and want them to be shortened, you can use the --napoleon-docstrings
flag:
.. code-block:: yaml
The directory where the html reports are searched for can be changed with the --report-dir
flag. It defaults to htmlcov
:
.. code-block:: yaml
The following fixtures are made available by this plugin.
record_pipelines_property
Calling `record_pipelines_property(key: str, value: str)` will result in `Property` tags being added to the `test-case` for the related node.
.. code-block:: python
def test_basic(record_pipelines_property):
record_pipelines_property("test", "value")
assert 1 == 1
``add_pipelines_attachment``
Add an attachment to a node test-case by calling the add_pipelines_attachment(path: str, description: str)
function with the filepath and a description.
Attachments can be viewed in the Azure Pipelines UI under the 'Attachments' tab for a test case.
.. code-block:: python
def test_attachment(add_pipelines_attachment):
pth = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'fixture.gif')
add_pipelines_attachment(path, "peanut butter jelly time")
assert 1 == 1
From version 0.6.0, pytest will upload successful coverage data into a format that Azure supports and package the htmlcov directory into a ZIP file as an artifact for the build.
To use this feature, add the --cov
flag with (optional, but required) path to your code files and also ensure you add --cov-report html
as an option.
.. code-block:: yaml
To disable coverage upload, use the --no-coverage-upload
flag.
The plugin automatically detects when running inside a docker container. It will apply the mappings to the path to report them back to Azure Pipelines using the path from the host that has been bind mounted to the docker container.
No configuration is required if bind mounting is used to the path the pytest output is written to. Also ensure the files are written using an account the host has access to, this can be done by supplying the user and group of the host account to the run command.
.. code-block:: bash
docker run --user "$(id -u):$(id -g)" ...
To disable docker discovery, use the --no-docker-discovery
flag.
Contributions are very welcome.
Distributed under the terms of the MIT license, "pytest-azurepipelines" is free and open source software
If you encounter any problems, please file an issue
_ along with a detailed description.
.. 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/tonybaloney/pytest-azurepipelines/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/project