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aws-cdk.integ-tests-alpha-2.47.0a0


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توضیحات

CDK Integration Testing Constructs
ویژگی مقدار
سیستم عامل OS Independent
نام فایل aws-cdk.integ-tests-alpha-2.47.0a0
نام aws-cdk.integ-tests-alpha
نسخه کتابخانه 2.47.0a0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Amazon Web Services
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/aws/aws-cdk
آدرس اینترنتی https://pypi.org/project/aws-cdk.integ-tests-alpha/
مجوز Apache-2.0
# integ-tests <!--BEGIN STABILITY BANNER-->--- ![cdk-constructs: Experimental](https://img.shields.io/badge/cdk--constructs-experimental-important.svg?style=for-the-badge) > The APIs of higher level constructs in this module are experimental and under active development. > They are subject to non-backward compatible changes or removal in any future version. These are > not subject to the [Semantic Versioning](https://semver.org/) model and breaking changes will be > announced in the release notes. This means that while you may use them, you may need to update > your source code when upgrading to a newer version of this package. --- <!--END STABILITY BANNER--> ## Overview This library is meant to be used in combination with the [integ-runner](https://github.com/aws/aws-cdk/tree/main/packages/%40aws-cdk/integ-runner) CLI to enable users to write and execute integration tests for AWS CDK Constructs. An integration test should be defined as a CDK application, and there should be a 1:1 relationship between an integration test and a CDK application. So for example, in order to create an integration test called `my-function` we would need to create a file to contain our integration test application. *test/integ.my-function.ts* ```python app = App() stack = Stack() lambda_.Function(stack, "MyFunction", runtime=lambda_.Runtime.NODEJS_14_X, handler="index.handler", code=lambda_.Code.from_asset(path.join(__dirname, "lambda-handler")) ) ``` This is a self contained CDK application which we could deploy by running ```bash cdk deploy --app 'node test/integ.my-function.js' ``` In order to turn this into an integration test, all that is needed is to use the `IntegTest` construct. ```python # app: App # stack: Stack IntegTest(app, "Integ", test_cases=[stack]) ``` You will notice that the `stack` is registered to the `IntegTest` as a test case. Each integration test can contain multiple test cases, which are just instances of a stack. See the [Usage](#usage) section for more details. ## Usage ### IntegTest Suppose you have a simple stack, that only encapsulates a Lambda function with a certain handler: ```python class StackUnderTest(Stack): def __init__(self, scope, id, *, architecture=None, description=None, env=None, stackName=None, tags=None, synthesizer=None, terminationProtection=None, analyticsReporting=None): super().__init__(scope, id, architecture=architecture, description=description, env=env, stackName=stackName, tags=tags, synthesizer=synthesizer, terminationProtection=terminationProtection, analyticsReporting=analyticsReporting) lambda_.Function(self, "Handler", runtime=lambda_.Runtime.NODEJS_14_X, handler="index.handler", code=lambda_.Code.from_asset(path.join(__dirname, "lambda-handler")), architecture=architecture ) ``` You may want to test this stack under different conditions. For example, we want this stack to be deployed correctly, regardless of the architecture we choose for the Lambda function. In particular, it should work for both `ARM_64` and `X86_64`. So you can create an `IntegTestCase` that exercises both scenarios: ```python class StackUnderTest(Stack): def __init__(self, scope, id, *, architecture=None, description=None, env=None, stackName=None, tags=None, synthesizer=None, terminationProtection=None, analyticsReporting=None): super().__init__(scope, id, architecture=architecture, description=description, env=env, stackName=stackName, tags=tags, synthesizer=synthesizer, terminationProtection=terminationProtection, analyticsReporting=analyticsReporting) lambda_.Function(self, "Handler", runtime=lambda_.Runtime.NODEJS_14_X, handler="index.handler", code=lambda_.Code.from_asset(path.join(__dirname, "lambda-handler")), architecture=architecture ) # Beginning of the test suite app = App() IntegTest(app, "DifferentArchitectures", test_cases=[ StackUnderTest(app, "Stack1", architecture=lambda_.Architecture.ARM_64 ), StackUnderTest(app, "Stack2", architecture=lambda_.Architecture.X86_64 ) ] ) ``` This is all the instruction you need for the integration test runner to know which stacks to synthesize, deploy and destroy. But you may also need to customize the behavior of the runner by changing its parameters. For example: ```python app = App() stack_under_test = Stack(app, "StackUnderTest") stack = Stack(app, "stack") test_case = IntegTest(app, "CustomizedDeploymentWorkflow", test_cases=[stack_under_test], diff_assets=True, stack_update_workflow=True, cdk_command_options=CdkCommands( deploy=DeployCommand( args=DeployOptions( require_approval=RequireApproval.NEVER, json=True ) ), destroy=DestroyCommand( args=DestroyOptions( force=True ) ) ) ) ``` ### IntegTestCaseStack In the majority of cases an integration test will contain a single `IntegTestCase`. By default when you create an `IntegTest` an `IntegTestCase` is created for you and all of your test cases are registered to this `IntegTestCase`. The `IntegTestCase` and `IntegTestCaseStack` constructs are only needed when it is necessary to defined different options for individual test cases. For example, you might want to have one test case where `diffAssets` is enabled. ```python # app: App # stack_under_test: Stack test_case_with_assets = IntegTestCaseStack(app, "TestCaseAssets", diff_assets=True ) IntegTest(app, "Integ", test_cases=[stack_under_test, test_case_with_assets]) ``` ## Assertions This library also provides a utility to make assertions against the infrastructure that the integration test deploys. There are two main scenarios in which assertions are created. * Part of an integration test using `integ-runner` In this case you would create an integration test using the `IntegTest` construct and then make assertions using the `assert` property. You should **not** utilize the assertion constructs directly, but should instead use the `methods` on `IntegTest.assertions`. ```python # app: App # stack: Stack integ = IntegTest(app, "Integ", test_cases=[stack]) integ.assertions.aws_api_call("S3", "getObject") ``` By default an assertions stack is automatically generated for you. You may however provide your own stack to use. ```python # app: App # stack: Stack # assertion_stack: Stack integ = IntegTest(app, "Integ", test_cases=[stack], assertion_stack=assertion_stack) integ.assertions.aws_api_call("S3", "getObject") ``` * Part of a normal CDK deployment In this case you may be using assertions as part of a normal CDK deployment in order to make an assertion on the infrastructure before the deployment is considered successful. In this case you can utilize the assertions constructs directly. ```python # my_app_stack: Stack AwsApiCall(my_app_stack, "GetObject", service="S3", api="getObject" ) ``` ### DeployAssert Assertions are created by using the `DeployAssert` construct. This construct creates it's own `Stack` separate from any stacks that you create as part of your integration tests. This `Stack` is treated differently from other stacks by the `integ-runner` tool. For example, this stack will not be diffed by the `integ-runner`. `DeployAssert` also provides utilities to register your own assertions. ```python # my_custom_resource: CustomResource # stack: Stack # app: App integ = IntegTest(app, "Integ", test_cases=[stack]) integ.assertions.expect("CustomAssertion", ExpectedResult.object_like({"foo": "bar"}), ActualResult.from_custom_resource(my_custom_resource, "data")) ``` In the above example an assertion is created that will trigger a user defined `CustomResource` and assert that the `data` attribute is equal to `{ foo: 'bar' }`. ### AwsApiCall A common method to retrieve the "actual" results to compare with what is expected is to make an AWS API call to receive some data. This library does this by utilizing CloudFormation custom resources which means that CloudFormation will call out to a Lambda Function which will use the AWS JavaScript SDK to make the API call. This can be done by using the class directory (in the case of a normal deployment): ```python # stack: Stack AwsApiCall(stack, "MyAssertion", service="SQS", api="receiveMessage", parameters={ "QueueUrl": "url" } ) ``` Or by using the `awsApiCall` method on `DeployAssert` (when writing integration tests): ```python # app: App # stack: Stack integ = IntegTest(app, "Integ", test_cases=[stack] ) integ.assertions.aws_api_call("SQS", "receiveMessage", { "QueueUrl": "url" }) ``` By default, the `AwsApiCall` construct will automatically add the correct IAM policies to allow the Lambda function to make the API call. It does this based on the `service` and `api` that is provided. In the above example the service is `SQS` and the api is `receiveMessage` so it will create a policy with `Action: 'sqs:ReceiveMessage`. There are some cases where the permissions do not exactly match the service/api call, for example the S3 `listObjectsV2` api. In these cases it is possible to add the correct policy by accessing the `provider` object. ```python # app: App # stack: Stack # integ: IntegTest api_call = integ.assertions.aws_api_call("S3", "listObjectsV2", { "Bucket": "mybucket" }) api_call.provider.add_to_role_policy({ "Effect": "Allow", "Action": ["s3:GetObject", "s3:ListBucket"], "Resource": ["*"] }) ``` Note that addToRolePolicy() uses direct IAM JSON policy blobs, not a iam.PolicyStatement object like you will see in the rest of the CDK. ### EqualsAssertion This library currently provides the ability to assert that two values are equal to one another by utilizing the `EqualsAssertion` class. This utilizes a Lambda backed `CustomResource` which in tern uses the [Match](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.assertions.Match.html) utility from the [@aws-cdk/assertions](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.assertions-readme.html) library. ```python # app: App # stack: Stack # queue: sqs.Queue # fn: lambda.IFunction integ = IntegTest(app, "Integ", test_cases=[stack] ) integ.assertions.invoke_function( function_name=fn.function_name, invocation_type=InvocationType.EVENT, payload=JSON.stringify({"status": "OK"}) ) message = integ.assertions.aws_api_call("SQS", "receiveMessage", { "QueueUrl": queue.queue_url, "WaitTimeSeconds": 20 }) message.assert_at_path("Messages.0.Body", ExpectedResult.object_like({ "request_context": { "condition": "Success" }, "request_payload": { "status": "OK" }, "response_context": { "status_code": 200 }, "response_payload": "success" })) ``` #### Match `integ-tests` also provides a `Match` utility similar to the `@aws-cdk/assertions` module. `Match` can be used to construct the `ExpectedResult`. ```python # message: AwsApiCall message.expect(ExpectedResult.object_like({ "Messages": Match.array_with([{ "Body": { "Values": Match.array_with([{"Asdf": 3}]), "Message": Match.string_like_regexp("message") } } ]) })) ``` ### Examples #### Invoke a Lambda Function In this example there is a Lambda Function that is invoked and we assert that the payload that is returned is equal to '200'. ```python # lambda_function: lambda.IFunction # app: App stack = Stack(app, "cdk-integ-lambda-bundling") integ = IntegTest(app, "IntegTest", test_cases=[stack] ) invoke = integ.assertions.invoke_function( function_name=lambda_function.function_name ) invoke.expect(ExpectedResult.object_like({ "Payload": "200" })) ``` #### Make an AWS API Call In this example there is a StepFunctions state machine that is executed and then we assert that the result of the execution is successful. ```python # app: App # stack: Stack # sm: IStateMachine test_case = IntegTest(app, "IntegTest", test_cases=[stack] ) # Start an execution start = test_case.assertions.aws_api_call("StepFunctions", "startExecution", { "state_machine_arn": sm.state_machine_arn }) # describe the results of the execution describe = test_case.assertions.aws_api_call("StepFunctions", "describeExecution", { "execution_arn": start.get_att_string("executionArn") }) # assert the results describe.expect(ExpectedResult.object_like({ "status": "SUCCEEDED" })) ``` #### Chain ApiCalls Sometimes it may be necessary to chain API Calls. Since each API call is its own resource, all you need to do is add a dependency between the calls. There is an helper method `next` that can be used. ```python # integ: IntegTest integ.assertions.aws_api_call("S3", "putObject", { "Bucket": "my-bucket", "Key": "my-key", "Body": "helloWorld" }).next(integ.assertions.aws_api_call("S3", "getObject", { "Bucket": "my-bucket", "Key": "my-key" })) ``` #### Wait for results A common use case when performing assertions is to wait for a condition to pass. Sometimes the thing that you are asserting against is not done provisioning by the time the assertion runs. In these cases it is possible to run the assertion asynchronously by calling the `waitForAssertions()` method. Taking the example above of executing a StepFunctions state machine, depending on the complexity of the state machine, it might take a while for it to complete. ```python # app: App # stack: Stack # sm: IStateMachine test_case = IntegTest(app, "IntegTest", test_cases=[stack] ) # Start an execution start = test_case.assertions.aws_api_call("StepFunctions", "startExecution", { "state_machine_arn": sm.state_machine_arn }) # describe the results of the execution describe = test_case.assertions.aws_api_call("StepFunctions", "describeExecution", { "execution_arn": start.get_att_string("executionArn") }).expect(ExpectedResult.object_like({ "status": "SUCCEEDED" })).wait_for_assertions() ``` When you call `waitForAssertions()` the assertion provider will continuously make the `awsApiCall` until the `ExpectedResult` is met. You can also control the parameters for waiting, for example: ```python # test_case: IntegTest # start: IApiCall describe = test_case.assertions.aws_api_call("StepFunctions", "describeExecution", { "execution_arn": start.get_att_string("executionArn") }).expect(ExpectedResult.object_like({ "status": "SUCCEEDED" })).wait_for_assertions( total_timeout=Duration.minutes(5), interval=Duration.seconds(15), backoff_rate=3 ) ```


نیازمندی

مقدار نام
<3.0.0,>=2.47.0 aws-cdk-lib
<11.0.0,>=10.0.0 constructs
<2.0.0,>=1.69.0 jsii
>=0.0.3 publication
~=2.13.3 typeguard


زبان مورد نیاز

مقدار نام
~=3.7 Python


نحوه نصب


نصب پکیج whl aws-cdk.integ-tests-alpha-2.47.0a0:

    pip install aws-cdk.integ-tests-alpha-2.47.0a0.whl


نصب پکیج tar.gz aws-cdk.integ-tests-alpha-2.47.0a0:

    pip install aws-cdk.integ-tests-alpha-2.47.0a0.tar.gz