CfnPipeline

class aws_cdk.aws_sagemaker.CfnPipeline(scope, id, *, pipeline_definition, pipeline_name, role_arn, parallelism_configuration=None, pipeline_description=None, pipeline_display_name=None, tags=None)

Bases: CfnResource

A CloudFormation AWS::SageMaker::Pipeline.

The AWS::SageMaker::Pipeline resource creates shell scripts that run when you create and/or start a SageMaker Pipeline. For information about SageMaker Pipelines, see SageMaker Pipelines in the Amazon SageMaker Developer Guide .

CloudformationResource:

AWS::SageMaker::Pipeline

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker as sagemaker

# parallelism_configuration: Any
# pipeline_definition: Any

cfn_pipeline = sagemaker.CfnPipeline(self, "MyCfnPipeline",
    pipeline_definition=pipeline_definition,
    pipeline_name="pipelineName",
    role_arn="roleArn",

    # the properties below are optional
    parallelism_configuration=parallelism_configuration,
    pipeline_description="pipelineDescription",
    pipeline_display_name="pipelineDisplayName",
    tags=[CfnTag(
        key="key",
        value="value"
    )]
)

Create a new AWS::SageMaker::Pipeline.

Parameters:
  • scope (Construct) –

    • scope in which this resource is defined.

  • id (str) –

    • scoped id of the resource.

  • pipeline_definition (Any) – The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.

  • pipeline_name (str) – The name of the pipeline.

  • role_arn (str) – The Amazon Resource Name (ARN) of the IAM role used to execute the pipeline.

  • parallelism_configuration (Optional[Any]) – AWS::SageMaker::Pipeline.ParallelismConfiguration.

  • pipeline_description (Optional[str]) – The description of the pipeline.

  • pipeline_display_name (Optional[str]) – The display name of the pipeline.

  • tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – The tags of the pipeline.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:

path (str) – The path of the value to delete.

Return type:

None

add_depends_on(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters:

target (CfnResource)

Return type:

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:
  • key (str)

  • value (Any)

See:

Return type:

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
   "GlobalSecondaryIndexes": [
     {
       "Projection": {
         "NonKeyAttributes": [ "myattribute" ]
         ...
       }
       ...
     },
     {
       "ProjectionType": "INCLUDE"
       ...
     },
   ]
   ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters:
  • path (str) –

    • The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.

  • value (Any) –

    • The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:

property_path (str) – The path to the property.

Return type:

None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:
  • property_path (str) – The path of the property.

  • value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:
  • policy (Optional[RemovalPolicy])

  • apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true

  • default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.

Return type:

None

get_att(attribute_name)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters:

attribute_name (str) – The name of the attribute.

Return type:

Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:

key (str)

See:

Return type:

Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters:

inspector (TreeInspector) –

  • tree inspector to collect and process attributes.

Return type:

None

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:

new_logical_id (str) – The new logical ID to use for this stack element.

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:

str

Returns:

a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::SageMaker::Pipeline'
cfn_options

Options for this resource, such as condition, update policy etc.

cfn_resource_type

AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node

The construct tree node associated with this construct.

parallelism_configuration

AWS::SageMaker::Pipeline.ParallelismConfiguration.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-parallelismconfiguration

pipeline_definition

The definition of the pipeline.

This can be either a JSON string or an Amazon S3 location.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-pipelinedefinition

pipeline_description

The description of the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-pipelinedescription

pipeline_display_name

The display name of the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-pipelinedisplayname

pipeline_name

The name of the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-pipelinename

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

role_arn

The Amazon Resource Name (ARN) of the IAM role used to execute the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-rolearn

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

tags

The tags of the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html#cfn-sagemaker-pipeline-tags

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:

x (Any)

Return type:

bool

Returns:

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(construct)

Check whether the given construct is a CfnResource.

Parameters:

construct (IConstruct)

Return type:

bool

classmethod is_construct(x)

Return whether the given object is a Construct.

Parameters:

x (Any)

Return type:

bool

ParallelismConfigurationProperty

class CfnPipeline.ParallelismConfigurationProperty(*, max_parallel_execution_steps)

Bases: object

Configuration that controls the parallelism of the pipeline.

By default, the parallelism configuration specified applies to all executions of the pipeline unless overridden.

Parameters:

max_parallel_execution_steps (Union[int, float]) – The max number of steps that can be executed in parallel.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-parallelismconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker as sagemaker

parallelism_configuration_property = sagemaker.CfnPipeline.ParallelismConfigurationProperty(
    max_parallel_execution_steps=123
)

Attributes

max_parallel_execution_steps

The max number of steps that can be executed in parallel.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-parallelismconfiguration.html#cfn-sagemaker-pipeline-parallelismconfiguration-maxparallelexecutionsteps

PipelineDefinitionProperty

class CfnPipeline.PipelineDefinitionProperty(*, pipeline_definition_body=None, pipeline_definition_s3_location=None)

Bases: object

Parameters:
  • pipeline_definition_body (Optional[str]) – CfnPipeline.PipelineDefinitionProperty.PipelineDefinitionBody.

  • pipeline_definition_s3_location (Union[IResolvable, S3LocationProperty, Dict[str, Any], None]) – CfnPipeline.PipelineDefinitionProperty.PipelineDefinitionS3Location.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-pipelinedefinition.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker as sagemaker

pipeline_definition_property = sagemaker.CfnPipeline.PipelineDefinitionProperty(
    pipeline_definition_body="pipelineDefinitionBody",
    pipeline_definition_s3_location=sagemaker.CfnPipeline.S3LocationProperty(
        bucket="bucket",
        key="key",

        # the properties below are optional
        e_tag="eTag",
        version="version"
    )
)

Attributes

pipeline_definition_body

CfnPipeline.PipelineDefinitionProperty.PipelineDefinitionBody.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-pipelinedefinition.html#cfn-sagemaker-pipeline-pipelinedefinition-pipelinedefinitionbody

pipeline_definition_s3_location

CfnPipeline.PipelineDefinitionProperty.PipelineDefinitionS3Location.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-pipelinedefinition.html#cfn-sagemaker-pipeline-pipelinedefinition-pipelinedefinitions3location

S3LocationProperty

class CfnPipeline.S3LocationProperty(*, bucket, key, e_tag=None, version=None)

Bases: object

Parameters:
  • bucket (str) – CfnPipeline.S3LocationProperty.Bucket.

  • key (str) – CfnPipeline.S3LocationProperty.Key.

  • e_tag (Optional[str]) – CfnPipeline.S3LocationProperty.ETag.

  • version (Optional[str]) – CfnPipeline.S3LocationProperty.Version.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-s3location.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker as sagemaker

s3_location_property = sagemaker.CfnPipeline.S3LocationProperty(
    bucket="bucket",
    key="key",

    # the properties below are optional
    e_tag="eTag",
    version="version"
)

Attributes

bucket

CfnPipeline.S3LocationProperty.Bucket.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-s3location.html#cfn-sagemaker-pipeline-s3location-bucket

e_tag

CfnPipeline.S3LocationProperty.ETag.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-s3location.html#cfn-sagemaker-pipeline-s3location-etag

key

CfnPipeline.S3LocationProperty.Key.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-s3location.html#cfn-sagemaker-pipeline-s3location-key

version

CfnPipeline.S3LocationProperty.Version.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-pipeline-s3location.html#cfn-sagemaker-pipeline-s3location-version