create_workteam¶

SageMaker.Client.create_workteam(**kwargs)¶

Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.

You cannot create more than 25 work teams in an account and region.

See also: AWS API Documentation

Request Syntax

response = client.create_workteam(
    WorkteamName='string',
    WorkforceName='string',
    MemberDefinitions=[
        {
            'CognitoMemberDefinition': {
                'UserPool': 'string',
                'UserGroup': 'string',
                'ClientId': 'string'
            },
            'OidcMemberDefinition': {
                'Groups': [
                    'string',
                ]
            }
        },
    ],
    Description='string',
    NotificationConfiguration={
        'NotificationTopicArn': 'string'
    },
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ]
)

Parameters

WorkteamName (string) --
[REQUIRED]

The name of the work team. Use this name to identify the work team.
WorkforceName (string) -- The name of the workforce.
MemberDefinitions (list) --
[REQUIRED]

A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.

Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition . For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition . Do not provide input for both of these parameters in a single request.

For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito user groups within the user pool used to create a workforce. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values. To add a Amazon Cognito user group to an existing worker pool, see Adding groups to a User Pool. For more information about user pools, see `Amazon Cognito User Pools.

For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in OidcMemberDefinition by listing those groups in Groups .
- (dict) --
  Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
  - CognitoMemberDefinition (dict) --
    The Amazon Cognito user group that is part of the work team.
    - UserPool (string) -- [REQUIRED]
      An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
    - UserGroup (string) -- [REQUIRED]
      An identifier for a user group.
    - ClientId (string) -- [REQUIRED]
      An identifier for an application client. You must create the app client ID using Amazon Cognito.
  - OidcMemberDefinition (dict) --
    A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups , you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
    - Groups (list) -- [REQUIRED]
      A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.
      - (string) --
Description (string) --
[REQUIRED]

A description of the work team.
NotificationConfiguration (dict) --
Configures notification of workers regarding available or expiring work items.
- NotificationTopicArn (string) --
  The ARN for the Amazon SNS topic to which notifications should be published.
Tags (list) --
An array of key-value pairs.

For more information, see Resource Tag and Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide .
- (dict) --
  A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.
  
  You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.
  
  For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.
  - Key (string) -- [REQUIRED]
    The tag key. Tag keys must be unique per resource.
  - Value (string) -- [REQUIRED]
    The tag value.

Return type

dict

Returns

Response Syntax

{
    'WorkteamArn': 'string'
}

Response Structure

(dict) --
- WorkteamArn (string) --
  
  The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.

Exceptions

SageMaker.Client.exceptions.ResourceInUse
SageMaker.Client.exceptions.ResourceLimitExceeded

Table Of Contents

create_workteam¶