AWS Amazon SageMaker Flow Definition
This page shows how to write Terraform for Amazon SageMaker Flow Definition and write them securely.
Terraform Example (aws_sagemaker_flow_definition)
Provides a Sagemaker Flow Definition resource.
The following arguments are supported:
flow_definition_name- (Required) The name of your flow definition.
human_loop_config- (Required) An object containing information about the tasks the human reviewers will perform. See Human Loop Config details below.
role_arn- (Required) The Amazon Resource Name (ARN) of the role needed to call other services on your behalf.
output_config- (Required) An object containing information about where the human review results will be uploaded. See Output Config details below.
human_loop_activation_config- (Optional) An object containing information about the events that trigger a human workflow. See Human Loop Activation Config details below.
human_loop_request_source- (Optional) Container for configuring the source of human task requests. Use to specify if Amazon Rekognition or Amazon Textract is used as an integration source. See Human Loop Request Source details below.
tags- (Optional) A map of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
Human Loop Config
human_task_ui_arn- (Required) The Amazon Resource Name (ARN) of the human task user interface.
public_workforce_task_price- (Optional) Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. See Public Workforce Task Price details below.
task_availability_lifetime_in_seconds- (Required) The length of time that a task remains available for review by human workers. Valid value range between
task_count- (Required) The number of distinct workers who will perform the same task on each object. Valid value range between
task_description- (Required) A description for the human worker task.
task_keywords- (Optional) An array of keywords used to describe the task so that workers can discover the task.
task_time_limit_in_seconds- (Optional) The amount of time that a worker has to complete a task. The default value is
task_title- (Required) A title for the human worker task.
workteam_arn- (Required) The Amazon Resource Name (ARN) of the human task user interface. Amazon Resource Name (ARN) of a team of workers. For Public workforces see AWS Docs.
Public Workforce Task Price
amount_in_usd- (Optional) Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars. See Amount In Usd details below.
Amount In Usd
cents- (Optional) The fractional portion, in cents, of the amount. Valid value range between
dollars- (Optional) The whole number of dollars in the amount. Valid value range between
tenth_fractions_of_a_cent- (Optional) Fractions of a cent, in tenths. Valid value range between
Human Loop Activation Config
human_loop_activation_conditions_config- (Required) defines under what conditions SageMaker creates a human loop. See Human Loop Activation Conditions Config details below.
Human Loop Activation Conditions Config
human_loop_activation_conditions- (Required) A JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI.
Human Loop Request Source
aws_managed_human_loop_request_source- (Required) Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. Valid values are:
s3_output_path- (Required) The Amazon S3 path where the object containing human output will be made available.
kms_key_id- (Optional) The Amazon Key Management Service (KMS) key ARN for server-side encryption.
In addition to all arguments above, the following attributes are exported:
arn- The Amazon Resource Name (ARN) assigned by AWS to this Flow Definition.
id- The name of the Flow Definition.
tags_all- A map of tags assigned to the resource, including those inherited from the provider
Example Usage (from GitHub)
An example could not be found in GitHub.
CloudFormation code does not have the related resource.
Frequently asked questions
What is AWS Amazon SageMaker Flow Definition?
AWS Amazon SageMaker Flow Definition is a resource for Amazon SageMaker of Amazon Web Service. Settings can be wrote in Terraform.