e8ab5f9b08
This commit is the start of a new doc guide for helping people figure out how to write good tempest tests. This is just a starting point for the document and doesn't cover every aspect of writing a test case in tempest. Right now it just covers the setupClass phase for writing TestCases. It will be expanded upon in future commits to give a complete guide to writing tests in Tempest. Change-Id: Ie0db2079163f536ae72668c8fc9129ae4c6389e2
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.. _tempest_plugin:
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=============================
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Tempest Test Plugin Interface
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=============================
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Tempest has an external test plugin interface which enables anyone to integrate
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an external test suite as part of a tempest run. This will let any project
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leverage being run with the rest of the tempest suite while not requiring the
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tests live in the tempest tree.
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Creating a plugin
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=================
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Creating a plugin is fairly straightforward and doesn't require much additional
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effort on top of creating a test suite using tempest.lib. One thing to note with
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doing this is that the interfaces exposed by tempest are not considered stable
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(with the exception of configuration variables which ever effort goes into
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ensuring backwards compatibility). You should not need to import anything from
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tempest itself except where explicitly noted.
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Stable Tempest APIs plugins may use
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-----------------------------------
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As noted above, several tempest APIs are acceptable to use from plugins, while
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others are not. A list of stable APIs available to plugins is provided below:
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* tempest.lib.*
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* tempest.config
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* tempest.test_discover.plugins
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If there is an interface from tempest that you need to rely on in your plugin
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which is not listed above, it likely needs to be migrated to tempest.lib. In
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that situation, file a bug, push a migration patch, etc. to expedite providing
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the interface in a reliable manner.
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Plugin Cookiecutter
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-------------------
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In order to create the basic structure with base classes and test directories
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you can use the tempest-plugin-cookiecutter project::
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> pip install -U cookiecutter && cookiecutter https://git.openstack.org/openstack/tempest-plugin-cookiecutter
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Cloning into 'tempest-plugin-cookiecutter'...
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remote: Counting objects: 17, done.
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remote: Compressing objects: 100% (13/13), done.
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remote: Total 17 (delta 1), reused 14 (delta 1)
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Unpacking objects: 100% (17/17), done.
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Checking connectivity... done.
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project (default is "sample")? foo
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testclass (default is "SampleTempestPlugin")? FooTempestPlugin
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This would create a folder called ``foo_tempest_plugin/`` with all necessary
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basic classes. You only need to move/create your test in
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``foo_tempest_plugin/tests``.
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Entry Point
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-----------
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Once you've created your plugin class you need to add an entry point to your
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project to enable tempest to find the plugin. The entry point must be added
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to the "tempest.test_plugins" namespace.
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If you are using pbr this is fairly straightforward, in the setup.cfg just add
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something like the following:
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.. code-block:: ini
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[entry_points]
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tempest.test_plugins =
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plugin_name = module.path:PluginClass
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Standalone Plugin vs In-repo Plugin
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-----------------------------------
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Since all that's required for a plugin to be detected by tempest is a valid
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setuptools entry point in the proper namespace there is no difference from the
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tempest perspective on either creating a separate python package to
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house the plugin or adding the code to an existing python project. However,
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there are tradeoffs to consider when deciding which approach to take when
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creating a new plugin.
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If you create a separate python project for your plugin this makes a lot of
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things much easier. Firstly it makes packaging and versioning much simpler, you
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can easily decouple the requirements for the plugin from the requirements for
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the other project. It lets you version the plugin independently and maintain a
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single version of the test code across project release boundaries (see the
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`Branchless Tempest Spec`_ for more details on this). It also greatly
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simplifies the install time story for external users. Instead of having to
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install the right version of a project in the same python namespace as tempest
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they simply need to pip install the plugin in that namespace. It also means
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that users don't have to worry about inadvertently installing a tempest plugin
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when they install another package.
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.. _Branchless Tempest Spec: http://specs.openstack.org/openstack/qa-specs/specs/tempest/implemented/branchless-tempest.html
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The sole advantage to integrating a plugin into an existing python project is
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that it enables you to land code changes at the same time you land test changes
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in the plugin. This reduces some of the burden on contributors by not having
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to land 2 changes to add a new API feature and then test it and doing it as a
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single combined commit.
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Plugin Class
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============
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To provide tempest with all the required information it needs to be able to run
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your plugin you need to create a plugin class which tempest will load and call
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to get information when it needs. To simplify creating this tempest provides an
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abstract class that should be used as the parent for your plugin. To use this
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you would do something like the following:
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.. code-block:: python
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from tempest.test_discover import plugins
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class MyPlugin(plugins.TempestPlugin):
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Then you need to ensure you locally define all of the mandatory methods in the
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abstract class, you can refer to the api doc below for a reference of what that
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entails.
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Abstract Plugin Class
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---------------------
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.. autoclass:: tempest.test_discover.plugins.TempestPlugin
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:members:
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Plugin Structure
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================
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While there are no hard and fast rules for the structure a plugin, there are
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basically no constraints on what the plugin looks like as long as the 2 steps
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above are done. However, there are some recommended patterns to follow to make
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it easy for people to contribute and work with your plugin. For example, if you
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create a directory structure with something like::
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plugin_dir/
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config.py
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plugin.py
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tests/
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api/
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scenario/
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services/
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client.py
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That will mirror what people expect from tempest. The file
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* **config.py**: contains any plugin specific configuration variables
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* **plugin.py**: contains the plugin class used for the entry point
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* **tests**: the directory where test discovery will be run, all tests should
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be under this dir
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* **services**: where the plugin specific service clients are
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Additionally, when you're creating the plugin you likely want to follow all
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of the tempest developer and reviewer documentation to ensure that the tests
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being added in the plugin act and behave like the rest of tempest.
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Dealing with configuration options
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----------------------------------
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Historically Tempest didn't provide external guarantees on its configuration
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options. However, with the introduction of the plugin interface this is no
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longer the case. An external plugin can rely on using any configuration option
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coming from Tempest, there will be at least a full deprecation cycle for any
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option before it's removed. However, just the options provided by Tempest
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may not be sufficient for the plugin. If you need to add any plugin specific
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configuration options you should use the ``register_opts`` and
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``get_opt_lists`` methods to pass them to Tempest when the plugin is loaded.
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When adding configuration options the ``register_opts`` method gets passed the
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CONF object from tempest. This enables the plugin to add options to both
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existing sections and also create new configuration sections for new options.
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Service Clients
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---------------
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If a plugin defines a service client, it is beneficial for it to implement the
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``get_service_clients`` method in the plugin class. All service clients which
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are exposed via this interface will be automatically configured and be
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available in any instance of the service clients class, defined in
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``tempest.lib.services.clients.ServiceClients``. In case multiple plugins are
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installed, all service clients from all plugins will be registered, making it
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easy to write tests which rely on multiple APIs whose service clients are in
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different plugins.
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Example implementation of ``get_service_clients``:
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.. code-block:: python
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def get_service_clients(self):
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# Example implementation with two service clients
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my_service1_config = config.service_client_config('my_service')
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params_my_service1 = {
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'name': 'my_service_v1',
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'service_version': 'my_service.v1',
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'module_path': 'plugin_tempest_tests.services.my_service.v1',
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'client_names': ['API1Client', 'API2Client'],
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}
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params_my_service1.update(my_service_config)
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my_service2_config = config.service_client_config('my_service')
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params_my_service2 = {
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'name': 'my_service_v2',
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'service_version': 'my_service.v2',
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'module_path': 'plugin_tempest_tests.services.my_service.v2',
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'client_names': ['API1Client', 'API2Client'],
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}
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params_my_service2.update(my_service2_config)
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return [params_my_service1, params_my_service2]
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Parameters:
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* **name**: Name of the attribute used to access the ``ClientsFactory`` from
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the ``ServiceClients`` instance. See example below.
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* **service_version**: Tempest enforces a single implementation for each
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service client. Available service clients are held in a ``ClientsRegistry``
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singleton, and registered with ``service_version``, which means that
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``service_version`` must be unique and it should represent the service API
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and version implemented by the service client.
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* **module_path**: Relative to the service client module, from the root of the
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plugin.
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* **client_names**: Name of the classes that implement service clients in the
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service clients module.
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Example usage of the service clients in tests:
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.. code-block:: python
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# my_creds is instance of tempest.lib.auth.Credentials
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# identity_uri is v2 or v3 depending on the configuration
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from tempest.lib.services import clients
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my_clients = clients.ServiceClients(my_creds, identity_uri)
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my_service1_api1_client = my_clients.my_service_v1.API1Client()
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my_service2_api1_client = my_clients.my_service_v2.API1Client(my_args='any')
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Automatic configuration and registration of service clients imposes some extra
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constraints on the structure of the configuration options exposed by the
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plugin.
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First ``service_version`` should be in the format `service_config[.version]`.
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The `.version` part is optional, and should only be used if there are multiple
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versions of the same API available. The `service_config` must match the name of
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a configuration options group defined by the plugin. Different versions of one
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API must share the same configuration group.
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Second the configuration options group `service_config` must contain the
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following options:
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* `catalog_type`: corresponds to `service` in the catalog
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* `endpoint_type`
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The following options will be honoured if defined, but they are not mandatory,
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as they do not necessarily apply to all service clients.
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* `region`: default to identity.region
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* `build_timeout` : default to compute.build_timeout
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* `build_interval`: default to compute.build_interval
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Third the service client classes should inherit from ``RestClient``, should
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accept generic keyword arguments, and should pass those arguments to the
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``__init__`` method of ``RestClient``. Extra arguments can be added. For
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instance:
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.. code-block:: python
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class MyAPIClient(rest_client.RestClient):
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def __init__(self, auth_provider, service, region,
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my_arg, my_arg2=True, **kwargs):
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super(MyAPIClient, self).__init__(
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auth_provider, service, region, **kwargs)
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self.my_arg = my_arg
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self.my_args2 = my_arg
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Finally the service client should be structured in a python module, so that all
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service client classes are importable from it. Each major API version should
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have its own module.
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The following folder and module structure is recommended for a single major
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API version::
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plugin_dir/
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services/
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__init__.py
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client_api_1.py
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client_api_2.py
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The content of __init__.py module should be:
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.. code-block:: python
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from client_api_1.py import API1Client
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from client_api_2.py import API2Client
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__all__ = ['API1Client', 'API2Client']
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The following folder and module structure is recommended for multiple major
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API version::
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plugin_dir/
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services/
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v1/
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__init__.py
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client_api_1.py
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client_api_2.py
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v2/
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__init__.py
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client_api_1.py
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client_api_2.py
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The content each of __init__.py module under vN should be:
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.. code-block:: python
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from client_api_1.py import API1Client
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from client_api_2.py import API2Client
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__all__ = ['API1Client', 'API2Client']
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Using Plugins
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=============
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Tempest will automatically discover any installed plugins when it is run. So by
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just installing the python packages which contain your plugin you'll be using
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them with tempest, nothing else is really required.
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However, you should take care when installing plugins. By their very nature
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there are no guarantees when running tempest with plugins enabled about the
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quality of the plugin. Additionally, while there is no limitation on running
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with multiple plugins it's worth noting that poorly written plugins might not
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properly isolate their tests which could cause unexpected cross interactions
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between plugins.
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Notes for using plugins with virtualenvs
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----------------------------------------
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When using a tempest inside a virtualenv (like when running under tox) you have
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to ensure that the package that contains your plugin is either installed in the
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venv too or that you have system site-packages enabled. The virtualenv will
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isolate the tempest install from the rest of your system so just installing the
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plugin package on your system and then running tempest inside a venv will not
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work.
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Tempest also exposes a tox job, all-plugin, which will setup a tox virtualenv
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with system site-packages enabled. This will let you leverage tox without
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requiring to manually install plugins in the tox venv before running tests.
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