Tempest Test Plugin Interface¶

Stable Tempest APIs plugins may use¶

As noted above, several tempest APIs are acceptable to use from plugins, while others are not. A list of stable APIs available to plugins is provided below:

• tempest.lib.*
• tempest.config
• tempest.test_discover.plugins

If there is an interface from tempest that you need to rely on in your plugin which is not listed above, it likely needs to be migrated to tempest.lib. In that situation, file a bug, push a migration patch, etc. to expedite providing the interface in a reliable manner.

Plugin Cookiecutter¶

In order to create the basic structure with base classes and test directories you can use the tempest-plugin-cookiecutter project:

> pip install -U cookiecutter && cookiecutter https://git.openstack.org/openstack/tempest-plugin-cookiecutter

Cloning into 'tempest-plugin-cookiecutter'...
remote: Counting objects: 17, done.
remote: Compressing objects: 100% (13/13), done.
remote: Total 17 (delta 1), reused 14 (delta 1)
Unpacking objects: 100% (17/17), done.
Checking connectivity... done.
project (default is "sample")? foo
testclass (default is "SampleTempestPlugin")? FooTempestPlugin

This would create a folder called foo_tempest_plugin/ with all necessary basic classes. You only need to move/create your test in foo_tempest_plugin/tests.

Entry Point¶

Once you've created your plugin class you need to add an entry point to your project to enable tempest to find the plugin. The entry point must be added to the "tempest.test_plugins" namespace.

If you are using pbr this is fairly straightforward, in the setup.cfg just add something like the following:

[entry_points]
tempest.test_plugins =
    plugin_name = module.path:PluginClass

Standalone Plugin vs In-repo Plugin¶

Since all that's required for a plugin to be detected by tempest is a valid setuptools entry point in the proper namespace there is no difference from the tempest perspective on either creating a separate python package to house the plugin or adding the code to an existing python project. However, there are tradeoffs to consider when deciding which approach to take when creating a new plugin.

If you create a separate python project for your plugin this makes a lot of things much easier. Firstly it makes packaging and versioning much simpler, you can easily decouple the requirements for the plugin from the requirements for the other project. It lets you version the plugin independently and maintain a single version of the test code across project release boundaries (see the Branchless Tempest Spec for more details on this). It also greatly simplifies the install time story for external users. Instead of having to install the right version of a project in the same python namespace as tempest they simply need to pip install the plugin in that namespace. It also means that users don't have to worry about inadvertently installing a tempest plugin when they install another package.

The sole advantage to integrating a plugin into an existing python project is that it enables you to land code changes at the same time you land test changes in the plugin. This reduces some of the burden on contributors by not having to land 2 changes to add a new API feature and then test it and doing it as a single combined commit.

Abstract Plugin Class¶

class TempestPlugin[source]¶

Provide basic hooks for an external plugin

To provide tempest the necessary information to run the plugin.

get_opt_lists()[source]¶

Get a list of options for sample config generation

Return option_list:
	A list of tuples with the group name and options in that group.
Return type:	list

Example:

# Config options are defined in a config.py module
service_option = cfg.BoolOpt(
    "my_service", default=True,
    help="Whether or not my service is available")

my_service_group = cfg.OptGroup(name="my-service",
                                title="My service options")
my_service_features_group = cfg.OptGroup(
    name="my-service-features",
    title="My service available features")

MyServiceGroup = [<list of options>]
MyServiceFeaturesGroup = [<list of options>]

# Plugin is implemented in a plugin.py module
from my_plugin import config as my_config

def get_opt_lists(self, conf):
    return [
        (my_service_group.name, MyServiceGroup),
        (my_service_features_group.name, MyServiceFeaturesGroup)
    ]

get_service_clients()[source]¶

Get a list of the service clients for registration

If the plugin implements service clients for one or more APIs, it may return their details by this method for automatic registration in any ServiceClients object instantiated by tests. The default implementation returns an empty list.

Returns:	Each element of the list represents the service client for an API. Each dict must define all parameters required for the invocation of service_clients.ServiceClients.register_service_client_module.
Return type:	list of dictionaries

Example implementation with one service client:

def get_service_clients(self):
    # Example implementation with one service client
    myservice_config = config.service_client_config('myservice')
    params = {
        'name': 'myservice',
        'service_version': 'myservice',
        'module_path': 'myservice_tempest_tests.services',
        'client_names': ['API1Client', 'API2Client'],
    }
    params.update(myservice_config)
    return [params]

Example implementation with two service clients:

def get_service_clients(self):
    # Example implementation with two service clients
    foo1_config = config.service_client_config('foo')
    params_foo1 = {
        'name': 'foo_v1',
        'service_version': 'foo.v1',
        'module_path': 'bar_tempest_tests.services.foo.v1',
        'client_names': ['API1Client', 'API2Client'],
    }
    params_foo1.update(foo_config)
    foo2_config = config.service_client_config('foo')
    params_foo2 = {
        'name': 'foo_v2',
        'service_version': 'foo.v2',
        'module_path': 'bar_tempest_tests.services.foo.v2',
        'client_names': ['API1Client', 'API2Client'],
    }
    params_foo2.update(foo2_config)
    return [params_foo1, params_foo2]

load_tests()[source]¶

Return the information necessary to load the tests in the plugin.

Returns:	a tuple with the first value being the test_dir and the second being the top_level
Return type:	tuple

register_opts(conf)[source]¶

Add additional configuration options to tempest.

This method will be run for the plugin during the register_opts() function in tempest.config.

Parameters:	conf (ConfigOpts) -- The conf object that can be used to register additional options on.

Example:

# Config options are defined in a config.py module
service_option = cfg.BoolOpt(
    "my_service",
    default=True,
    help="Whether or not my service is available")

# Note: as long as the group is listed in get_opt_lists,
# it will be possible to access its optins in the plugin code
# via ("-" in the group name are replaces with "_"):
#     CONF.my_service.<option_name>
my_service_group = cfg.OptGroup(name="my-service",
                                title="My service options")

MyServiceGroup = [<list of options>]
# (...) More groups and options...

# Plugin is implemented in a plugin.py module
from my_plugin import config as my_config

def register_opts(self, conf):
    conf.register_opt(my_config.service_option,
                      group='service_available')
    conf.register_group(my_config.my_service_group)
    conf.register_opts(my_config.MyService +
                       my_config.my_service_group)

    conf.register_group(my_config.my_service_feature_group)
    conf.register_opts(my_config.MyServiceFeaturesGroup,
                       my_config.my_service_feature_group)

Dealing with configuration options¶

Historically Tempest didn't provide external guarantees on its configuration options. However, with the introduction of the plugin interface this is no longer the case. An external plugin can rely on using any configuration option coming from Tempest, there will be at least a full deprecation cycle for any option before it's removed. However, just the options provided by Tempest may not be sufficient for the plugin. If you need to add any plugin specific configuration options you should use the register_opts and get_opt_lists methods to pass them to Tempest when the plugin is loaded. When adding configuration options the register_opts method gets passed the CONF object from tempest. This enables the plugin to add options to both existing sections and also create new configuration sections for new options.

Service Clients¶

If a plugin defines a service client, it is beneficial for it to implement the get_service_clients method in the plugin class. All service clients which are exposed via this interface will be automatically configured and be available in any instance of the service clients class, defined in tempest.lib.services.clients.ServiceClients. In case multiple plugins are installed, all service clients from all plugins will be registered, making it easy to write tests which rely on multiple APIs whose service clients are in different plugins.

Example implementation of get_service_clients:

def get_service_clients(self):
    # Example implementation with two service clients
    my_service1_config = config.service_client_config('my_service')
    params_my_service1 = {
        'name': 'my_service_v1',
        'service_version': 'my_service.v1',
        'module_path': 'plugin_tempest_tests.services.my_service.v1',
        'client_names': ['API1Client', 'API2Client'],
    }
    params_my_service1.update(my_service_config)
    my_service2_config = config.service_client_config('my_service')
    params_my_service2 = {
        'name': 'my_service_v2',
        'service_version': 'my_service.v2',
        'module_path': 'plugin_tempest_tests.services.my_service.v2',
        'client_names': ['API1Client', 'API2Client'],
    }
    params_my_service2.update(my_service2_config)
    return [params_my_service1, params_my_service2]

Parameters:

• name: Name of the attribute used to access the ClientsFactory from the ServiceClients instance. See example below.
• service_version: Tempest enforces a single implementation for each service client. Available service clients are held in a ClientsRegistry singleton, and registered with service_version, which means that service_version must be unique and it should represent the service API and version implemented by the service client.
• module_path: Relative to the service client module, from the root of the plugin.
• client_names: Name of the classes that implement service clients in the service clients module.

Example usage of the service clients in tests:

# my_creds is instance of tempest.lib.auth.Credentials
# identity_uri is v2 or v3 depending on the configuration
from tempest.lib.services import clients

my_clients = clients.ServiceClients(my_creds, identity_uri)
my_service1_api1_client = my_clients.my_service_v1.API1Client()
my_service2_api1_client = my_clients.my_service_v2.API1Client(my_args='any')

Automatic configuration and registration of service clients imposes some extra constraints on the structure of the configuration options exposed by the plugin.

First service_version should be in the format service_config[.version]. The .version part is optional, and should only be used if there are multiple versions of the same API available. The service_config must match the name of a configuration options group defined by the plugin. Different versions of one API must share the same configuration group.

Second the configuration options group service_config must contain the following options:

• catalog_type: corresponds to service in the catalog
• endpoint_type

The following options will be honoured if defined, but they are not mandatory, as they do not necessarily apply to all service clients.

• region: default to identity.region
• build_timeout : default to compute.build_timeout
• build_interval: default to compute.build_interval

Third the service client classes should inherit from RestClient, should accept generic keyword arguments, and should pass those arguments to the __init__ method of RestClient. Extra arguments can be added. For instance:

class MyAPIClient(rest_client.RestClient):

 def __init__(self, auth_provider, service, region,
              my_arg, my_arg2=True, **kwargs):
     super(MyAPIClient, self).__init__(
         auth_provider, service, region, **kwargs)
     self.my_arg = my_arg
     self.my_args2 = my_arg

Finally the service client should be structured in a python module, so that all service client classes are importable from it. Each major API version should have its own module.

The following folder and module structure is recommended for a single major API version:

plugin_dir/
  services/
    __init__.py
    client_api_1.py
    client_api_2.py

The content of __init__.py module should be:

from client_api_1.py import API1Client
from client_api_2.py import API2Client

__all__ = ['API1Client', 'API2Client']

The following folder and module structure is recommended for multiple major API version:

plugin_dir/
  services/
    v1/
       __init__.py
       client_api_1.py
       client_api_2.py
    v2/
       __init__.py
       client_api_1.py
       client_api_2.py

The content each of __init__.py module under vN should be:

from client_api_1.py import API1Client
from client_api_2.py import API2Client

__all__ = ['API1Client', 'API2Client']

Notes for using plugins with virtualenvs¶

When using a tempest inside a virtualenv (like when running under tox) you have to ensure that the package that contains your plugin is either installed in the venv too or that you have system site-packages enabled. The virtualenv will isolate the tempest install from the rest of your system so just installing the plugin package on your system and then running tempest inside a venv will not work.

Tempest also exposes a tox job, all-plugin, which will setup a tox virtualenv with system site-packages enabled. This will let you leverage tox without requiring to manually install plugins in the tox venv before running tests.