Table of contents
IMPORTANT NOTE: All the commands in this page assumes you have loaded the dev_setup in your currently loaded virtual environment.
Overview
This page is to help you write tests for Azure Python SDK when these tests require Azure HTTP requests. The Azure SDK test framework uses the azure-sdk-tools
package, which in turn rests upon on a HTTP recording system (testproxy) that enables tests dependent on network interaction to be run offline.
In this document, we will describe:
- How to run the tests online (by authenticating with Azure to record new HTTP interactions)
- How to run the tests offline (using previously recorded HTTP interactions)
- How to write new tests using our utility classes
Getting the tests to run
This section describes how to run the SDK tests, by installing dependencies into a virtual environment and using a helper script and the pytest test runner to choose which tests to run.
Running the tests
In this section, we will be running the tests in azure-mgmt-storage
. Azure SDK tests use pytest test runner. To run all the tests, you can use the following command:
sdk/storage/azure-mgmt-storage> pytest
You can provide directories or individual files as positional arguments to specify particular tests to run rather than running the entire test suite. For example:
sdk/storage/azure-mgmt-storage> pytest
sdk/storage/azure-mgmt-storage> pytest tests/test_mgmt_storage.py
If you have print statements in your tests for debugging you can add the -s
flag to send those print statements to standard output:
sdk/storage/azure-mgmt-storage> pytest -s
Getting Azure credentials
There are several ways to authenticate to Azure, but to be able to record test HTTP interactions, you must use an OAuth authentication method which gives you a token:
- Active Directory application and service principal
Get a token with Active Directory application and service principal
Follow this detailed tutorial to set up an Active Directory application and service principal: https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
To use the credentials from Python, you need:
- Application ID (a.k.a. client ID)
- Authentication key (a.k.a. client secret)
- Tenant ID
- Subscription ID from the Azure portal This section of the above tutorial describes where to find them (besides the subscription ID, which is in the "Overview" section of the "Subscriptions" blade.)
The recommended practice is to store these three values in environment variables called AZURE_TENANT_ID
, AZURE_CLIENT_ID
, and AZURE_CLIENT_SECRET
. To set an environment variable use the following commands:
$env:AZURE_TENANT_ID='<value>' # PowerShell only
set AZURE_TENANT_ID=<value> # Windows CMD (alternatively, use export AZURE_TENANT_ID=<value> to export to the global env)
export AZURE_TENANT_ID=<value> # Linux shell only
*** Note: when setting these variables, do not wrap the value in quotation marks ***
You are now able to log in from Python using OAuth. Before use, you need to run the pip install azure-identity
command to install it.
You can test with this code:
import os
from azure.identity import ClientSecretCredential
credentials = ClientSecretCredential(
client_id = os.environ['AZURE_CLIENT_ID'],
secret = os.environ['AZURE_CLIENT_SECRET'],
tenant = os.environ['AZURE_TENANT_ID']
)
Or you can use DefaultAzureCredential
, which we prefer.
You can test with this code:
import os
from azure.identity import DefaultAzureCredential
credentials = DefaultAzureCredential()
Providing credentials to the tests
When you run tests in playback mode, they use a fake credentials file, located at tools/azure-sdk-tools/devtools_testutils/mgmt_settings_fake.py
, to simulate authenticating with Azure. In most scenarios you will not have to adjust this file, you will have to make edits to this file if your service uses values that are not already included in the mgmt_settings_fake.py
file.
In live mode, you need to use real credentials like those you obtained in the previous section. To enable the tests to use them, make a copy of the mgmt_settings_fake.py
file in the same location, and rename it mgmt_settings_real.py
.
Then make the following changes:
- Change the value of the
SUBSCRIPTION_ID
constant to your subscription ID. (If you don't have it, you can find it in the "Overview" section of the "Subscriptions" blade in the Azure portal.) - Change the
get_azure_core_credential()
function to construct and return aClientSecretCredential
:
def get_azure_core_credential(**kwargs):
from azure.identity import ClientSecretCredential
import os
return ClientSecretCredential(
client_id = os.environ['AZURE_CLIENT_ID'],
client_secret = os.environ['AZURE_CLIENT_SECRET'],
tenant_id = os.environ['AZURE_TENANT_ID']
)
- Or you could use the
get_credential()
function to construct and return aDefaultAzureCredential
:
def get_credential(**kwargs):
from azure.identity import DefaultAzureCredential
return DefaultAzureCredential()
These two methods are used by the authentication methods within AzureTestCase
to provide the correct credential for your client class, you do not need to call these methods directly. Authenticating clients will be discussed further in the examples section.
Important: mgmt_settings_real.py
should not be committed since it contains your actual credentials! To prevent this, it is included in .gitignore
.
Running tests in live mode
To configure the tests to run in live mode, you have two options:
- Set the environment variable
AZURE_TEST_RUN_LIVE
to "true" or "yes". - Create the
tools/azure-sdk-tools/devtools_testutils/testsettings_local.cfg
file and copy and paste the following line:
(live-mode: true
testsettings_local.cfg
is listed in.gitignore
and not present in the repo; if it's missing, the tests default to playback mode.)
Now you can run tests using the same method described in Running the tests. You would be well-advised to specify a limited number of tests to run. Running every existing test in live mode will take a very long time and produce a great deal of changes to recording files in your Git repository. However, for changes in the client code, the recordings will need to be committed to the Git repository.
Running tests in playback mode
Now that the tests have been run against live resources and generated the HTTP recordings, you can run your tests in playback mode. There are two options for changing from live mode to playback mode:
- Set the environment variable
AZURE_TEST_RUN_LIVE
to "false" or "no". - Change the
tools/azure-sdk-tools/devtools_testutils/testsettings_local.cfg
file to:live-mode: false
Writing new tests
Code in the azure-sdk-tools/devtools_testutils
directory provides concrete implementations of the features provided in scenario_tests
that are oriented around use in SDK testing and that you can use directly in your unit tests.
Test structure
New tests should be located alongside the packages containing the code they test. For example, the tests for azure-mgmt-media
are in azure-mgmt-media/tests
.
There are also legacy tests in the following three locations:
- azure-servicebus/tests
- azure-servicemanagement-legacy/tests
For more information about legacy tests, see Legacy tests.
Writing management plane test
Management plane SDKs are those that are formatted azure-mgmt-xxxx
, otherwise the SDK is data plane. Management plane SDKs work against the Azure Resource Manager APIs, while the data plane SDKs will work against service APIs. This section will demonstrate writing tests using devtools_testutils
with a few increasingly sophisticated examples to show how to use some of the features of the underlying test frameworks.
Tips:
After the migration of the test proxy, conftests.py
needs to be configured under the tests folder.
- For a sample about
conftest.py
, see conftest.py. - For more information about test proxy, see TestProxy.
Example 1: Basic Azure service interaction and recording
from azure.mgmt.resource import ResourceManagementClient
from devtools_testutils import AzureMgmtRecordedTestCase, recorded_by_proxy
AZURE_LOCATION = 'eastus'
class TestExampleResourceGroup(AzureMgmtRecordedTestCase):
def setup_method(self, method):
self.client = self.create_mgmt_client(ResourceManagementClient)
@recorded_by_proxy
def test_create_resource_group(self):
test_group_name = self.get_resource_name('testgroup')
group = self.client.resource_groups.create_or_update(
test_group_name,
{'location': 'westus'}
)
assert group.name == test_group_name
self.client.resource_groups.begin_delete(group.name)
This simple test creates a resource group and checks that its name is assigned correctly.
Notes:
- This test inherits all necessary behavior for HTTP recording and playback described previously in this document from its
AzureMgmtRecordedTestCase
superclass. You don't need to do anything special to implement it. - The
get_resource_name()
helper method ofAzureMgmtRecordedTestCase
creates a pseudorandom name based on the parameter and the names of the test file and method. This ensures that the name generated is the same for each run of the same test, ensuring reproducability and preventing name collisions if the tests are run live and the same parameter is used from several different tests. - The
create_mgmt_client()
helper method ofAzureMgmtRecordedTestCase
creates a client object using the credentials frommgmt_settings_fake.py
ormgmt_settings_real.py
as appropriate, with some checks to make sure it's created successfully and cause the unit test to fail if not. You should use it for any clients you create. - While the test cleans up the resource group it creates, you will need to manually delete any resources you've created independent of the test framework. But if you need something like a resource group as a prerequisite for what you're actually trying to test, you should use a "preparer" as demonstrated in the following two examples. Preparers will create and clean up helper resources for you.
Example 2: Basic preparer usage
import azure.mgmt.search
from devtools_testutils import AzureMgmtRecordedTestCase, ResourceGroupPreparer, recorded_by_proxy
class TestMgmtSearch(AzureMgmtRecordedTestCase):
def setup_method(self, method):
self.client = self.create_mgmt_client(
azure.mgmt.search.SearchManagementClient
)
@ResourceGroupPreparer()
@recorded_by_proxy
def test_search_services(self, resource_group, location):
account_name = self.get_resource_name(''ptvstestsearch')
service = self.client.services.begin_create_or_update(
resource_group.name,
account_name,
{
'location': location,
'replica_count': 1,
'partition_count': 1,
'hosting_mode': 'Default',
'sku': {
'name': 'standard'
}
}
).result()
availability = self.client.services.check_name_availability(account_name)
assert not availability.is_name_available
assert availability.reason == "AlreadyExists"
service = self.client.services.get(
resource_group.name,
service.name
)
assert service.name == account_name
This test creates a Search server and confirms that its name is set correctly. Because a Search server must be created in a resource group, the test uses a ResourceGroupPreparer
to create a group for use in the test.
Preparers are decorators that "wrap" a test method, transparently replacing it with another function that has some additional functionality before and after it's run. For example, the @ResourceGroupPreparer
decorator adds the following to the wrapped method:
- creates a resource group
- inspects the argument signature of the wrapped method and passes in information about the created resource group if appropriately-named parameters (here,
resource_group
andlocation
) are present - deletes the resource group after the test is run
Notes:
HTTP interactions undertaken by preparers to create and delete the prepared resource are not recorded or played back, as they're not part of what the test is testing.
If the test is run in playback mode, the
resource_group
parameter will be a simpleFakeResource
object with a pseudorandomname
attribute and a blankid
attribute. If you need a more sophisticated fake object, see the next example.Why not use a preparer in Example 1, above?
Preparers are only for auxiliary resources that aren't part of the main focus of the test. In example 1, we want to test the actual creation and naming of the resource group, so those operations are part of the test. By contrast, in example 2, the subject of the test is the Search management operations; the resource group is just a prerequisite for those operations. We only want this test to fail if something is wrong with the Search server creation. If there's something wrong with the resource group creation, there should be a dedicated test for that.
Example 3: More complicated preparer usage
import azure.mgmt.batch
from azure.mgmt.batch import models
from devtools_testutils import (
AzureMgmtRecordedTestCase,
recorded_by_proxy,
ResourceGroupPreparer,
StorageAccountPreparer
)
AZURE_ARM_ENDPOINT = "https://centraluseuap.management.azure.com"
AZURE_LOCATION = 'eastus'
class TestMgmtBatch(AzureMgmtRecordedTestCase):
def setup_method(self, method):
self.mgmt_batch_client = self.create_mgmt_client(
azure.mgmt.batch.BatchManagementClient,
base_url=AZURE_ARM_ENDPOINT)
@ResourceGroupPreparer(location=AZURE_LOCATION)
@StorageAccountPreparer(name_prefix='batch', location=AZURE_LOCATION)
@recorded_by_proxy
def test_mgmt_batch_applications(self, resource_group, location, storage_account, storage_account_key):
# Test Create Account with Auto-Storage
storage_resource = '/subscriptions/{}/resourceGroups/{}/providers/Microsoft.Storage/storageAccounts/{}'.format(
self.get_settings_value("SUBSCRIPTION_ID"),
resource_group.name,
storage_account.name
)
batch_account = models.BatchAccountCreateParameters(
location=location,
auto_storage=models.AutoStorageBaseProperties(storage_account_id=storage_resource)
)
account_name = "testbatch"
account_setup = self.mgmt_batch_client.batch_account.begin_create(
resource_group.name,
account_name,
batch_account).result()
assert account_setup.name == account_name
This test creates a batch account and confirms that its name is set correctly.
Notes:
- Here, we want to test creation of a batch account, which requires a storage account. We want to use a preparer for this, but creation of a storage account itself needs a resource group. So we need both a
ResourceGroupPreparer
and aStorageAccountPreparer
, in that order. - Both preparers are customized. We pass a
parameter_name
keyword argument ofgroup
toResourceGroupPreparer
, and as a result the resource group is passed into the test method through thegroup
parameter (rather than the defaultresource_group
). Then, becauseStorageAccountPreparer
needs a resource group, we need to let it know about the modified parameter name. We do so with theresource_group_parameter_name
argument. Finally, we pass aname_prefix
toStorageAccountPreparer
. The names it generates by default include the fully qualified test name, and so tend to be longer than is allowed for storage accounts. You'll probably always need to usename_prefix
withStorageAccountPreparer
. - We want to ensure that the group retrieved by
get_properties
has akind
ofBlobStorage
. We create aFakeStorageAccount
object with that attribute and pass it toStorageAccountPreparer
, and also pass thekind
keyword argument toStorageAccountPreparer
so that it will be passed through when a storage account is prepared for real. - Similarly to how a resource group parameter is added by
ResourceGroupPreparer
,StorageAccountPreparer
passes the model object for the created storage account as thestorage_account
parameter, and that parameter's name can be customized.StorageAccountPreparer
also creates an account access key and passes it into the test method through a parameter whose name is formed by appending_key
to the name of the parameter for the account itself.
Example 4: Different endpoint than public Azure (China, Dogfood, etc.)
import azure.mgmt.search
from devtools_testutils import AzureMgmtRecordedTestCase, ResourceGroupPreparer, recorded_by_proxy
_CUSTOM_ENDPOINT = "https://api-dogfood.resources.windows-int.net/"
class TestMgmtSearch(AzureMgmtRecordedTestCase):
def setup_method(self, method):
self.client = self.create_mgmt_client(
azure.mgmt.search.SearchManagementClient,
base_url=_CUSTOM_ENDPOINT
)
@ResourceGroupPreparer(client_kwargs={'base_url':_CUSTOM_ENDPOINT})
@recorded_by_proxy
def test_search_services(self, resource_group, location):
account_name = self.get_resource_name(''ptvstestsearch')
service = self.client.services.begin_create_or_update(
resource_group.name,
account_name,
{
'location': location,
'replica_count': 1,
'partition_count': 1,
'hosting_mode': 'Default',
'sku': {
'name': 'standard'
}
}
).result()
availability = self.client.services.check_name_availability(account_name)
assert not availability.is_name_available
assert availability.reason == "AlreadyExists"
assert service.name == account_name