b9a42816bd
* Added ResourceTypeExceptions * Added test for custom-resource Co-authored-by: Phil Sheets <p.sheets@fetchrewards.com>
522 lines
19 KiB
Python
522 lines
19 KiB
Python
from __future__ import unicode_literals
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import boto3
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import botocore
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import pytest
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import sure # noqa
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from moto import mock_applicationautoscaling, mock_ecs
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DEFAULT_REGION = "us-east-1"
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DEFAULT_ECS_CLUSTER = "default"
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DEFAULT_ECS_TASK = "test_ecs_task"
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DEFAULT_ECS_SERVICE = "sample-webapp"
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DEFAULT_SERVICE_NAMESPACE = "ecs"
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DEFAULT_RESOURCE_ID = "service/{}/{}".format(DEFAULT_ECS_CLUSTER, DEFAULT_ECS_SERVICE)
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DEFAULT_SCALABLE_DIMENSION = "ecs:service:DesiredCount"
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DEFAULT_MIN_CAPACITY = 1
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DEFAULT_MAX_CAPACITY = 1
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DEFAULT_ROLE_ARN = "test:arn"
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DEFAULT_SUSPENDED_STATE = {
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"DynamicScalingInSuspended": True,
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"DynamicScalingOutSuspended": True,
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"ScheduledScalingSuspended": True,
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}
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def _create_ecs_defaults(ecs, create_service=True):
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_ = ecs.create_cluster(clusterName=DEFAULT_ECS_CLUSTER)
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_ = ecs.register_task_definition(
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family=DEFAULT_ECS_TASK,
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containerDefinitions=[
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{
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"name": "hello_world",
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"image": "docker/hello-world:latest",
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"cpu": 1024,
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"memory": 400,
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"essential": True,
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"environment": [
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{"name": "AWS_ACCESS_KEY_ID", "value": "SOME_ACCESS_KEY"}
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],
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"logConfiguration": {"logDriver": "json-file"},
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}
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],
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)
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if create_service:
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_ = ecs.create_service(
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cluster=DEFAULT_ECS_CLUSTER,
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serviceName=DEFAULT_ECS_SERVICE,
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taskDefinition=DEFAULT_ECS_TASK,
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desiredCount=2,
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)
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@mock_ecs
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@mock_applicationautoscaling
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def test_describe_scalable_targets_one_basic_ecs_success():
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs)
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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client.register_scalable_target(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE,
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ResourceId=DEFAULT_RESOURCE_ID,
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ScalableDimension=DEFAULT_SCALABLE_DIMENSION,
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)
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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len(response["ScalableTargets"]).should.equal(1)
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t = response["ScalableTargets"][0]
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t.should.have.key("ServiceNamespace").which.should.equal(DEFAULT_SERVICE_NAMESPACE)
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t.should.have.key("ResourceId").which.should.equal(DEFAULT_RESOURCE_ID)
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t.should.have.key("ScalableDimension").which.should.equal(
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DEFAULT_SCALABLE_DIMENSION
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)
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t.should.have.key("CreationTime").which.should.be.a("datetime.datetime")
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@mock_ecs
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@mock_applicationautoscaling
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def test_describe_scalable_targets_one_full_ecs_success():
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs)
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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register_scalable_target(client)
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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len(response["ScalableTargets"]).should.equal(1)
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t = response["ScalableTargets"][0]
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t.should.have.key("ServiceNamespace").which.should.equal(DEFAULT_SERVICE_NAMESPACE)
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t.should.have.key("ResourceId").which.should.equal(DEFAULT_RESOURCE_ID)
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t.should.have.key("ScalableDimension").which.should.equal(
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DEFAULT_SCALABLE_DIMENSION
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)
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t.should.have.key("MinCapacity").which.should.equal(DEFAULT_MIN_CAPACITY)
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t.should.have.key("MaxCapacity").which.should.equal(DEFAULT_MAX_CAPACITY)
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t.should.have.key("RoleARN").which.should.equal(DEFAULT_ROLE_ARN)
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t.should.have.key("CreationTime").which.should.be.a("datetime.datetime")
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t.should.have.key("SuspendedState")
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t["SuspendedState"]["DynamicScalingInSuspended"].should.equal(
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DEFAULT_SUSPENDED_STATE["DynamicScalingInSuspended"]
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)
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@mock_ecs
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@mock_applicationautoscaling
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def test_describe_scalable_targets_only_return_ecs_targets():
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs, create_service=False)
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_ = ecs.create_service(
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cluster=DEFAULT_ECS_CLUSTER,
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serviceName="test1",
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taskDefinition=DEFAULT_ECS_TASK,
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desiredCount=2,
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)
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_ = ecs.create_service(
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cluster=DEFAULT_ECS_CLUSTER,
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serviceName="test2",
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taskDefinition=DEFAULT_ECS_TASK,
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desiredCount=2,
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)
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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register_scalable_target(
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client,
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ServiceNamespace="ecs",
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ResourceId="service/{}/test1".format(DEFAULT_ECS_CLUSTER),
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)
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register_scalable_target(
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client,
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ServiceNamespace="ecs",
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ResourceId="service/{}/test2".format(DEFAULT_ECS_CLUSTER),
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)
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register_scalable_target(
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client,
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ServiceNamespace="elasticmapreduce",
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ResourceId="instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0",
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ScalableDimension="elasticmapreduce:instancegroup:InstanceCount",
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)
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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len(response["ScalableTargets"]).should.equal(2)
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@mock_ecs
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@mock_applicationautoscaling
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def test_describe_scalable_targets_next_token_success():
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs, create_service=False)
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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for i in range(0, 100):
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_ = ecs.create_service(
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cluster=DEFAULT_ECS_CLUSTER,
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serviceName=str(i),
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taskDefinition=DEFAULT_ECS_TASK,
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desiredCount=2,
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)
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register_scalable_target(
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client,
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ServiceNamespace="ecs",
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ResourceId="service/{}/{}".format(DEFAULT_ECS_CLUSTER, i),
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)
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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len(response["ScalableTargets"]).should.equal(50)
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response["ScalableTargets"][0]["ResourceId"].should.equal("service/default/0")
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response.should.have.key("NextToken").which.should.equal("49")
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE, NextToken=str(response["NextToken"])
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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len(response["ScalableTargets"]).should.equal(50)
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response["ScalableTargets"][0]["ResourceId"].should.equal("service/default/50")
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response.should_not.have.key("NextToken")
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def register_scalable_target(client, **kwargs):
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""" Build a default scalable target object for use in tests. """
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return client.register_scalable_target(
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ServiceNamespace=kwargs.get("ServiceNamespace", DEFAULT_SERVICE_NAMESPACE),
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ResourceId=kwargs.get("ResourceId", DEFAULT_RESOURCE_ID),
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ScalableDimension=kwargs.get("ScalableDimension", DEFAULT_SCALABLE_DIMENSION),
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MinCapacity=kwargs.get("MinCapacity", DEFAULT_MIN_CAPACITY),
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MaxCapacity=kwargs.get("MaxCapacity", DEFAULT_MAX_CAPACITY),
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RoleARN=kwargs.get("RoleARN", DEFAULT_ROLE_ARN),
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SuspendedState=kwargs.get("SuspendedState", DEFAULT_SUSPENDED_STATE),
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)
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@mock_ecs
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@mock_applicationautoscaling
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def test_register_scalable_target_resource_id_variations():
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# Required to register an ECS target in moto
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs)
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# See https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalabletarget.html
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resource_id_variations = [
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(
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DEFAULT_SERVICE_NAMESPACE,
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DEFAULT_RESOURCE_ID,
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DEFAULT_SCALABLE_DIMENSION,
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), # ECS
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(
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"ec2",
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"spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE",
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"ec2:spot-fleet-request:TargetCapacity",
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),
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(
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"elasticmapreduce",
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"instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0",
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"elasticmapreduce:instancegroup:InstanceCount",
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),
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("appstream", "fleet/sample-fleet", "appstream:fleet:DesiredCapacity"),
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("dynamodb", "table/my-table", "dynamodb:table:ReadCapacityUnits"),
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(
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"dynamodb",
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"table/my-table/index/my-table-index",
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"dynamodb:index:ReadCapacityUnits",
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),
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("rds", "cluster:my-db-cluster", "rds:cluster:ReadReplicaCount"),
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(
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"sagemaker",
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"endpoint/MyEndPoint/variant/MyVariant",
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"sagemaker:variant:DesiredInstanceCount",
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),
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(
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"comprehend",
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"arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE",
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"comprehend:document-classifier-endpoint:DesiredInferenceUnits",
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),
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(
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"lambda",
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"function:my-function:prod",
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"lambda:function:ProvisionedConcurrency",
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),
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(
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"cassandra",
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"keyspace/mykeyspace/table/mytable",
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"cassandra:table:ReadCapacityUnits",
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),
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(
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"custom-resource",
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"https://test-endpoint.amazon.com/ScalableDimension/test-resource",
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"custom-resource:ResourceType:Property",
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),
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]
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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for namespace, resource_id, scalable_dimension in resource_id_variations:
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client.register_scalable_target(
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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MinCapacity=1,
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MaxCapacity=8,
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)
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response = client.describe_scalable_targets(ServiceNamespace=namespace)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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num_targets = 2 if namespace == "dynamodb" and "index" in resource_id else 1
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len(response["ScalableTargets"]).should.equal(num_targets)
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t = response["ScalableTargets"][-1]
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t.should.have.key("ServiceNamespace").which.should.equal(namespace)
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t.should.have.key("ResourceId").which.should.equal(resource_id)
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t.should.have.key("ScalableDimension").which.should.equal(scalable_dimension)
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t.should.have.key("CreationTime").which.should.be.a("datetime.datetime")
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@mock_ecs
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@mock_applicationautoscaling
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def test_register_scalable_target_updates_existing_target():
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ecs = boto3.client("ecs", region_name=DEFAULT_REGION)
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_create_ecs_defaults(ecs)
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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register_scalable_target(client)
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updated_min_capacity = 3
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updated_max_capacity = 10
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updated_suspended_state = {
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"DynamicScalingInSuspended": False,
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"DynamicScalingOutSuspended": False,
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"ScheduledScalingSuspended": False,
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}
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client.register_scalable_target(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE,
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ResourceId=DEFAULT_RESOURCE_ID,
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ScalableDimension=DEFAULT_SCALABLE_DIMENSION,
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MinCapacity=updated_min_capacity,
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MaxCapacity=updated_max_capacity,
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SuspendedState=updated_suspended_state,
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)
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response = client.describe_scalable_targets(
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ServiceNamespace=DEFAULT_SERVICE_NAMESPACE
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)
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len(response["ScalableTargets"]).should.equal(1)
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t = response["ScalableTargets"][0]
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t.should.have.key("MinCapacity").which.should.equal(updated_min_capacity)
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t.should.have.key("MaxCapacity").which.should.equal(updated_max_capacity)
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t.should.have.key("SuspendedState")
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t["SuspendedState"]["DynamicScalingInSuspended"].should.equal(
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updated_suspended_state["DynamicScalingInSuspended"]
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)
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t["SuspendedState"]["DynamicScalingOutSuspended"].should.equal(
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updated_suspended_state["DynamicScalingOutSuspended"]
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)
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t["SuspendedState"]["ScheduledScalingSuspended"].should.equal(
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updated_suspended_state["ScheduledScalingSuspended"]
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)
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@mock_applicationautoscaling
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def test_put_scaling_policy():
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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namespace = "sagemaker"
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resource_id = "endpoint/MyEndPoint/variant/MyVariant"
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scalable_dimension = "sagemaker:variant:DesiredInstanceCount"
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client.register_scalable_target(
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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MinCapacity=1,
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MaxCapacity=8,
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)
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policy_name = "MyPolicy"
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policy_type = "TargetTrackingScaling"
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policy_body = {
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"TargetValue": 70.0,
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"PredefinedMetricSpecification": {
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"PredefinedMetricType": "SageMakerVariantInvocationsPerInstance"
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},
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}
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with pytest.raises(client.exceptions.ValidationException) as e:
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client.put_scaling_policy(
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PolicyName=policy_name,
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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PolicyType="ABCDEFG",
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TargetTrackingScalingPolicyConfiguration=policy_body,
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)
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e.value.response["Error"]["Message"].should.match(
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r"Unknown policy type .* specified."
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)
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response = client.put_scaling_policy(
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PolicyName=policy_name,
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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PolicyType=policy_type,
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TargetTrackingScalingPolicyConfiguration=policy_body,
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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response["PolicyARN"].should.match(
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r"arn:aws:autoscaling:.*1:scalingPolicy:.*:resource/{}/{}:policyName/{}".format(
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namespace, resource_id, policy_name
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)
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)
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@mock_applicationautoscaling
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def test_describe_scaling_policies():
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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namespace = "sagemaker"
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resource_id = "endpoint/MyEndPoint/variant/MyVariant"
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scalable_dimension = "sagemaker:variant:DesiredInstanceCount"
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client.register_scalable_target(
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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MinCapacity=1,
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MaxCapacity=8,
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)
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policy_name = "MyPolicy"
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policy_type = "TargetTrackingScaling"
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policy_body = {
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"TargetValue": 70.0,
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"PredefinedMetricSpecification": {
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"PredefinedMetricType": "SageMakerVariantInvocationsPerInstance"
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},
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}
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response = client.put_scaling_policy(
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PolicyName=policy_name,
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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PolicyType=policy_type,
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TargetTrackingScalingPolicyConfiguration=policy_body,
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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response = client.describe_scaling_policies(
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PolicyNames=[policy_name],
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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)
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response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
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policy = response["ScalingPolicies"][0]
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policy["PolicyName"].should.equal(policy_name)
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policy["ServiceNamespace"].should.equal(namespace)
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policy["ResourceId"].should.equal(resource_id)
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policy["ScalableDimension"].should.equal(scalable_dimension)
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policy["PolicyType"].should.equal(policy_type)
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policy["TargetTrackingScalingPolicyConfiguration"].should.equal(policy_body)
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policy["PolicyARN"].should.match(
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r"arn:aws:autoscaling:.*1:scalingPolicy:.*:resource/{}/{}:policyName/{}".format(
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namespace, resource_id, policy_name
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)
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)
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policy.should.have.key("CreationTime").which.should.be.a("datetime.datetime")
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@mock_applicationautoscaling
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def test_delete_scaling_policies():
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client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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namespace = "sagemaker"
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resource_id = "endpoint/MyEndPoint/variant/MyVariant"
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scalable_dimension = "sagemaker:variant:DesiredInstanceCount"
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client.register_scalable_target(
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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MinCapacity=1,
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MaxCapacity=8,
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)
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policy_name = "MyPolicy"
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policy_type = "TargetTrackingScaling"
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policy_body = {
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"TargetValue": 70.0,
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"PredefinedMetricSpecification": {
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"PredefinedMetricType": "SageMakerVariantInvocationsPerInstance"
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},
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}
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with pytest.raises(client.exceptions.ValidationException) as e:
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client.delete_scaling_policy(
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PolicyName=policy_name,
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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)
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e.value.response["Error"]["Message"].should.match(r"No scaling policy found .*")
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response = client.put_scaling_policy(
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PolicyName=policy_name,
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ServiceNamespace=namespace,
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ResourceId=resource_id,
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ScalableDimension=scalable_dimension,
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PolicyType=policy_type,
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TargetTrackingScalingPolicyConfiguration=policy_body,
|
|
)
|
|
response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
|
|
|
|
response = client.delete_scaling_policy(
|
|
PolicyName=policy_name,
|
|
ServiceNamespace=namespace,
|
|
ResourceId=resource_id,
|
|
ScalableDimension=scalable_dimension,
|
|
)
|
|
response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
|
|
|
|
response = client.describe_scaling_policies(
|
|
PolicyNames=[policy_name],
|
|
ServiceNamespace=namespace,
|
|
ResourceId=resource_id,
|
|
ScalableDimension=scalable_dimension,
|
|
)
|
|
response["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)
|
|
len(response["ScalingPolicies"]).should.equal(0)
|
|
|
|
|
|
@mock_applicationautoscaling
|
|
def test_deregister_scalable_target():
|
|
client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
|
|
namespace = "sagemaker"
|
|
resource_id = "endpoint/MyEndPoint/variant/MyVariant"
|
|
scalable_dimension = "sagemaker:variant:DesiredInstanceCount"
|
|
|
|
client.register_scalable_target(
|
|
ServiceNamespace=namespace,
|
|
ResourceId=resource_id,
|
|
ScalableDimension=scalable_dimension,
|
|
MinCapacity=1,
|
|
MaxCapacity=8,
|
|
)
|
|
|
|
response = client.describe_scalable_targets(ServiceNamespace=namespace)
|
|
len(response["ScalableTargets"]).should.equal(1)
|
|
|
|
client.deregister_scalable_target(
|
|
ServiceNamespace=namespace,
|
|
ResourceId=resource_id,
|
|
ScalableDimension=scalable_dimension,
|
|
)
|
|
|
|
response = client.describe_scalable_targets(ServiceNamespace=namespace)
|
|
len(response["ScalableTargets"]).should.equal(0)
|
|
|
|
with pytest.raises(client.exceptions.ValidationException) as e:
|
|
client.deregister_scalable_target(
|
|
ServiceNamespace=namespace,
|
|
ResourceId=resource_id,
|
|
ScalableDimension=scalable_dimension,
|
|
)
|
|
e.value.response["Error"]["Message"].should.match(r"No scalable target found .*")
|