103 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			103 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import boto3
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| from moto import mock_applicationautoscaling, mock_ecs
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| from moto.applicationautoscaling import models
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| from moto.applicationautoscaling.exceptions import AWSValidationException
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| import pytest
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| import sure  # noqa # pylint: disable=unused-import
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| from botocore.exceptions import ClientError
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| from .test_applicationautoscaling import register_scalable_target
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| 
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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 = f"service/{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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| 
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| 
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| @mock_applicationautoscaling
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| def test_describe_scalable_targets_with_invalid_scalable_dimension_should_return_validation_exception():
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|     client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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| 
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|     with pytest.raises(ClientError) as ex:
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|         client.describe_scalable_targets(
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|             ServiceNamespace=DEFAULT_SERVICE_NAMESPACE, ScalableDimension="foo"
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|         )
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|     err = ex.value.response
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|     err["Error"]["Code"].should.equal("ValidationException")
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|     err["Error"]["Message"].split(":")[0].should.look_like(
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|         "1 validation error detected"
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|     )
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|     err["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)
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| 
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| 
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| @mock_applicationautoscaling
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| def test_describe_scalable_targets_with_invalid_service_namespace_should_return_validation_exception():
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|     client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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| 
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|     with pytest.raises(ClientError) as ex:
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|         client.describe_scalable_targets(
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|             ServiceNamespace="foo", ScalableDimension=DEFAULT_SCALABLE_DIMENSION
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|         )
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|     err = ex.value.response
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|     err["Error"]["Code"].should.equal("ValidationException")
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|     err["Error"]["Message"].split(":")[0].should.look_like(
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|         "1 validation error detected"
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|     )
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|     err["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)
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| 
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| 
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| @mock_applicationautoscaling
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| def test_describe_scalable_targets_with_multiple_invalid_parameters_should_return_validation_exception():
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|     client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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| 
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|     with pytest.raises(ClientError) as ex:
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|         client.describe_scalable_targets(
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|             ServiceNamespace="foo", ScalableDimension="bar"
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|         )
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|     err = ex.value.response
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|     err["Error"]["Code"].should.equal("ValidationException")
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|     err["Error"]["Message"].split(":")[0].should.look_like(
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|         "2 validation errors detected"
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|     )
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|     err["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)
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| 
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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_ecs_with_non_existent_service_should_return_clusternotfound_exception():
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|     client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)
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|     resource_id = f"service/{DEFAULT_ECS_CLUSTER}/foo"
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| 
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|     with pytest.raises(ClientError) as ex:
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|         register_scalable_target(client, ServiceNamespace="ecs", ResourceId=resource_id)
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|     err = ex.value.response
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|     err["Error"]["Code"].should.equal("ClusterNotFoundException")
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|     err["Error"]["Message"].should.equal("Cluster not found.")
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|     err["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)
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| 
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| 
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| @pytest.mark.parametrize(
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|     "namespace,r_id,dimension,expected",
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|     [
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|         ("ecs", "service/default/test-svc", "ecs:service:DesiredCount", True),
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|         ("ecs", "banana/default/test-svc", "ecs:service:DesiredCount", False),
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|         ("rds", "service/default/test-svc", "ecs:service:DesiredCount", False),
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|     ],
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| )
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| def test_target_params_are_valid_success(namespace, r_id, dimension, expected):
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|     if expected is True:
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|         models._target_params_are_valid(namespace, r_id, dimension).should.equal(
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|             expected
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|         )
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|     else:
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|         with pytest.raises(AWSValidationException):
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|             models._target_params_are_valid(namespace, r_id, dimension)
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| 
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| 
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| # TODO add a test for not-supplied MinCapacity or MaxCapacity (ValidationException)
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