aws-cdk.integ-tests-alpha 2.159.0a0

Description:

awscdk.integtestsalpha 2.159.0a0

integ-tests
---


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 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your source code when upgrading to a newer version of this package.



Overview
This library is meant to be used in combination with the 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
app = App()
stack = Stack()
lambda_.Function(stack, "MyFunction",
runtime=lambda_.Runtime.NODEJS_LATEST,
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
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.
# 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 section for more details.
Usage
IntegTest
Suppose you have a simple stack, that only encapsulates a Lambda function with a
certain handler:
class StackUnderTest(Stack):
def __init__(self, scope, id, *, architecture=None, description=None, env=None, stackName=None, tags=None, synthesizer=None, terminationProtection=None, analyticsReporting=None, crossRegionReferences=None, permissionsBoundary=None, suppressTemplateIndentation=None):
super().__init__(scope, id, architecture=architecture, description=description, env=env, stackName=stackName, tags=tags, synthesizer=synthesizer, terminationProtection=terminationProtection, analyticsReporting=analyticsReporting, crossRegionReferences=crossRegionReferences, permissionsBoundary=permissionsBoundary, suppressTemplateIndentation=suppressTemplateIndentation)

lambda_.Function(self, "Handler",
runtime=lambda_.Runtime.NODEJS_LATEST,
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:
class StackUnderTest(Stack):
def __init__(self, scope, id, *, architecture=None, description=None, env=None, stackName=None, tags=None, synthesizer=None, terminationProtection=None, analyticsReporting=None, crossRegionReferences=None, permissionsBoundary=None, suppressTemplateIndentation=None):
super().__init__(scope, id, architecture=architecture, description=description, env=env, stackName=stackName, tags=tags, synthesizer=synthesizer, terminationProtection=terminationProtection, analyticsReporting=analyticsReporting, crossRegionReferences=crossRegionReferences, permissionsBoundary=permissionsBoundary, suppressTemplateIndentation=suppressTemplateIndentation)

lambda_.Function(self, "Handler",
runtime=lambda_.Runtime.NODEJS_LATEST,
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:
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.
# 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.
# 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.
# 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.
# 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.
# 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' }.
API Calls
A common method to retrieve the "actual" results to compare with what is expected is to make an
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
make the API call.
HttpApiCall
Using the HttpApiCall will use the
node-fetch JavaScript library to
make the HTTP call.
This can be done by using the class directory (in the case of a normal deployment):
# stack: Stack


HttpApiCall(stack, "MyAsssertion",
url="https://example-api.com/abc"
)

Or by using the httpApiCall method on DeployAssert (when writing integration tests):
# app: App
# stack: Stack

integ = IntegTest(app, "Integ",
test_cases=[stack]
)
integ.assertions.http_api_call("https://example-api.com/abc")

AwsApiCall
Using the AwsApiCall construct 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):
# stack: Stack


AwsApiCall(stack, "MyAssertion",
service="SQS",
api="receiveMessage",
parameters={
"QueueUrl": "url"
}
)

Or by using the awsApiCall method on DeployAssert (when writing integration tests):
# app: App
# stack: Stack

integ = IntegTest(app, "Integ",
test_cases=[stack]
)
integ.assertions.aws_api_call("SQS", "receiveMessage", {
"QueueUrl": "url"
})

You must specify the service and the api when using The AwsApiCall construct.
The service is the name of an AWS service, in one of the following forms:

An AWS SDK for JavaScript v3 package name (@aws-sdk/client-api-gateway)
An AWS SDK for JavaScript v3 client name (api-gateway)
An AWS SDK for JavaScript v2 constructor name (APIGateway)
A lowercase AWS SDK for JavaScript v2 constructor name (apigateway)

The api is the name of an AWS API call, in one of the following forms:

An API call name as found in the API Reference documentation (GetObject)
The API call name starting with a lowercase letter (getObject)
The AWS SDK for JavaScript v3 command class name (GetObjectCommand)

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.
# 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 utility from the
@aws-cdk/assertions library.
# 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. While the utility is similar, only a subset of methods are currently available on the Match utility of this module: arrayWith, objectLike, stringLikeRegexp and serializedJson.
# message: AwsApiCall


message.expect(ExpectedResult.object_like({
"Messages": Match.array_with([{
"Payload": Match.serialized_json({"key": "value"})
}, {
"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'.
# 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"
}))

The above example will by default create a CloudWatch log group that's never
expired. If you want to configure it with custom log retention days, you need
to specify the logRetention property.
import aws_cdk.aws_logs as logs

# 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,
log_retention=logs.RetentionDays.ONE_WEEK
)

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.
# 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.
# 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.
# 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:
# 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
)