CleanRoomsML / Client / get_ml_input_channel

get_ml_input_channel#

CleanRoomsML.Client.get_ml_input_channel(**kwargs)#

Returns information about an ML input channel.

See also: AWS API Documentation

Request Syntax

response = client.get_ml_input_channel(
    mlInputChannelArn='string',
    membershipIdentifier='string'
)
Parameters:

  • mlInputChannelArn (string) –

    [REQUIRED]

    The Amazon Resource Name (ARN) of the ML input channel that you want to get.

  • membershipIdentifier (string) –

    [REQUIRED]

    The membership ID of the membership that contains the ML input channel that you want to get.

Return type:

dict

Returns:

Response Syntax

{
    'createTime': datetime(2015, 1, 1),
    'updateTime': datetime(2015, 1, 1),
    'membershipIdentifier': 'string',
    'collaborationIdentifier': 'string',
    'inputChannel': {
        'dataSource': {
            'protectedQueryInputParameters': {
                'sqlParameters': {
                    'queryString': 'string',
                    'analysisTemplateArn': 'string',
                    'parameters': {
                        'string': 'string'
                    }
                },
                'computeConfiguration': {
                    'worker': {
                        'type': 'CR.1X'|'CR.4X',
                        'number': 123
                    }
                }
            }
        },
        'roleArn': 'string'
    },
    'protectedQueryIdentifier': 'string',
    'mlInputChannelArn': 'string',
    'name': 'string',
    'configuredModelAlgorithmAssociations': [
        'string',
    ],
    'status': 'CREATE_PENDING'|'CREATE_IN_PROGRESS'|'CREATE_FAILED'|'ACTIVE'|'DELETE_PENDING'|'DELETE_IN_PROGRESS'|'DELETE_FAILED'|'INACTIVE',
    'statusDetails': {
        'statusCode': 'string',
        'message': 'string'
    },
    'retentionInDays': 123,
    'numberOfRecords': 123,
    'numberOfFiles': 123.0,
    'sizeInGb': 123.0,
    'description': 'string',
    'kmsKeyArn': 'string',
    'tags': {
        'string': 'string'
    }
}

Response Structure

  • (dict) –

    • createTime (datetime) –

      The time at which the ML input channel was created.

    • updateTime (datetime) –

      The most recent time at which the ML input channel was updated.

    • membershipIdentifier (string) –

      The membership ID of the membership that contains the ML input channel.

    • collaborationIdentifier (string) –

      The collaboration ID of the collaboration that contains the ML input channel.

    • inputChannel (dict) –

      The input channel that was used to create the ML input channel.

      • dataSource (dict) –

        The data source that is used to create the ML input channel.

        Note

        This is a Tagged Union structure. Only one of the following top level keys will be set: protectedQueryInputParameters. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:

        'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}

        • protectedQueryInputParameters (dict) –

          Provides information necessary to perform the protected query.

          • sqlParameters (dict) –

            The parameters for the SQL type Protected Query.

            • queryString (string) –

              The query string to be submitted.

            • analysisTemplateArn (string) –

              The Amazon Resource Name (ARN) associated with the analysis template within a collaboration.

            • parameters (dict) –

              The protected query SQL parameters.

              • (string) –

                • (string) –

          • computeConfiguration (dict) –

            Provides configuration information for the workers that will perform the protected query.

            Note

            This is a Tagged Union structure. Only one of the following top level keys will be set: worker. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:

            'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}

            • worker (dict) –

              The worker instances that will perform the compute work.

              • type (string) –

                The instance type of the compute workers that are used.

              • number (integer) –

                The number of compute workers that are used.

      • roleArn (string) –

        The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource field the input channel.

        Passing a role across AWS accounts is not allowed. If you pass a role that isn’t in your account, you get an AccessDeniedException error.

    • protectedQueryIdentifier (string) –

      The ID of the protected query that was used to create the ML input channel.

    • mlInputChannelArn (string) –

      The Amazon Resource Name (ARN) of the ML input channel.

    • name (string) –

      The name of the ML input channel.

    • configuredModelAlgorithmAssociations (list) –

      The configured model algorithm associations that were used to create the ML input channel.

      • (string) –

    • status (string) –

      The status of the ML input channel.

    • statusDetails (dict) –

      Details about the status of a resource.

      • statusCode (string) –

        The status code that was returned. The status code is intended for programmatic error handling. Clean Rooms ML will not change the status code for existing error conditions.

      • message (string) –

        The error message that was returned. The message is intended for human consumption and can change at any time. Use the statusCode for programmatic error handling.

    • retentionInDays (integer) –

      The number of days to keep the data in the ML input channel.

    • numberOfRecords (integer) –

      The number of records in the ML input channel.

    • numberOfFiles (float) –

      The number of files in the ML input channel.

    • sizeInGb (float) –

      The size, in GB, of the ML input channel.

    • description (string) –

      The description of the ML input channel.

    • kmsKeyArn (string) –

      The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.

    • tags (dict) –

      The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

      The following basic restrictions apply to tags:

      • Maximum number of tags per resource - 50.

      • For each resource, each tag key must be unique, and each tag key can have only one value.

      • Maximum key length - 128 Unicode characters in UTF-8.

      • Maximum value length - 256 Unicode characters in UTF-8.

      • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

      • Tag keys and values are case sensitive.

      • Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

      • (string) –

        • (string) –

Exceptions