AgentsforBedrock / Client / update_data_source

update_data_source#

AgentsforBedrock.Client.update_data_source(**kwargs)#

Updates configurations for a data source.

Warning

You can’t change the chunkingConfiguration after you create the data source. Specify the existing chunkingConfiguration.

See also: AWS API Documentation

Request Syntax

response = client.update_data_source(
    dataDeletionPolicy='RETAIN'|'DELETE',
    dataSourceConfiguration={
        's3Configuration': {
            'bucketArn': 'string',
            'bucketOwnerAccountId': 'string',
            'inclusionPrefixes': [
                'string',
            ]
        },
        'type': 'S3'
    },
    dataSourceId='string',
    description='string',
    knowledgeBaseId='string',
    name='string',
    serverSideEncryptionConfiguration={
        'kmsKeyArn': 'string'
    },
    vectorIngestionConfiguration={
        'chunkingConfiguration': {
            'chunkingStrategy': 'FIXED_SIZE'|'NONE',
            'fixedSizeChunkingConfiguration': {
                'maxTokens': 123,
                'overlapPercentage': 123
            }
        }
    }
)
Parameters:

  • dataDeletionPolicy (string) – The data deletion policy of the updated data source.

  • dataSourceConfiguration (dict) –

    [REQUIRED]

    Contains details about the storage configuration of the data source.

    • s3Configuration (dict) –

      Contains details about the configuration of the S3 object containing the data source.

      • bucketArn (string) – [REQUIRED]

        The Amazon Resource Name (ARN) of the bucket that contains the data source.

      • bucketOwnerAccountId (string) –

        The account ID for the owner of the S3 bucket.

      • inclusionPrefixes (list) –

        A list of S3 prefixes that define the object containing the data sources. For more information, see Organizing objects using prefixes.

        • (string) –

    • type (string) – [REQUIRED]

      The type of storage for the data source.

  • dataSourceId (string) –

    [REQUIRED]

    The unique identifier of the data source.

  • description (string) – Specifies a new description for the data source.

  • knowledgeBaseId (string) –

    [REQUIRED]

    The unique identifier of the knowledge base to which the data source belongs.

  • name (string) –

    [REQUIRED]

    Specifies a new name for the data source.

  • serverSideEncryptionConfiguration (dict) –

    Contains details about server-side encryption of the data source.

    • kmsKeyArn (string) –

      The Amazon Resource Name (ARN) of the KMS key used to encrypt the resource.

  • vectorIngestionConfiguration (dict) –

    Contains details about how to ingest the documents in the data source.

    • chunkingConfiguration (dict) –

      Details about how to chunk the documents in the data source. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried.

      • chunkingStrategy (string) – [REQUIRED]

        Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried. You have the following options for chunking your data. If you opt for NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.

        • FIXED_SIZE – Amazon Bedrock splits your source data into chunks of the approximate size that you set in the fixedSizeChunkingConfiguration.

        • NONE – Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.

      • fixedSizeChunkingConfiguration (dict) –

        Configurations for when you choose fixed-size chunking. If you set the chunkingStrategy as NONE, exclude this field.

        • maxTokens (integer) – [REQUIRED]

          The maximum number of tokens to include in a chunk.

        • overlapPercentage (integer) – [REQUIRED]

          The percentage of overlap between adjacent chunks of a data source.

Return type:

dict

Returns:

Response Syntax

{
    'dataSource': {
        'createdAt': datetime(2015, 1, 1),
        'dataDeletionPolicy': 'RETAIN'|'DELETE',
        'dataSourceConfiguration': {
            's3Configuration': {
                'bucketArn': 'string',
                'bucketOwnerAccountId': 'string',
                'inclusionPrefixes': [
                    'string',
                ]
            },
            'type': 'S3'
        },
        'dataSourceId': 'string',
        'description': 'string',
        'failureReasons': [
            'string',
        ],
        'knowledgeBaseId': 'string',
        'name': 'string',
        'serverSideEncryptionConfiguration': {
            'kmsKeyArn': 'string'
        },
        'status': 'AVAILABLE'|'DELETING'|'DELETE_UNSUCCESSFUL',
        'updatedAt': datetime(2015, 1, 1),
        'vectorIngestionConfiguration': {
            'chunkingConfiguration': {
                'chunkingStrategy': 'FIXED_SIZE'|'NONE',
                'fixedSizeChunkingConfiguration': {
                    'maxTokens': 123,
                    'overlapPercentage': 123
                }
            }
        }
    }
}

Response Structure

  • (dict) –

    • dataSource (dict) –

      Contains details about the data source.

      • createdAt (datetime) –

        The time at which the data source was created.

      • dataDeletionPolicy (string) –

        The deletion policy for the data source.

      • dataSourceConfiguration (dict) –

        Contains details about how the data source is stored.

        • s3Configuration (dict) –

          Contains details about the configuration of the S3 object containing the data source.

          • bucketArn (string) –

            The Amazon Resource Name (ARN) of the bucket that contains the data source.

          • bucketOwnerAccountId (string) –

            The account ID for the owner of the S3 bucket.

          • inclusionPrefixes (list) –

            A list of S3 prefixes that define the object containing the data sources. For more information, see Organizing objects using prefixes.

            • (string) –

        • type (string) –

          The type of storage for the data source.

      • dataSourceId (string) –

        The unique identifier of the data source.

      • description (string) –

        The description of the data source.

      • failureReasons (list) –

        The details of the failure reasons related to the data source.

        • (string) –

      • knowledgeBaseId (string) –

        The unique identifier of the knowledge base to which the data source belongs.

      • name (string) –

        The name of the data source.

      • serverSideEncryptionConfiguration (dict) –

        Contains details about the configuration of the server-side encryption.

        • kmsKeyArn (string) –

          The Amazon Resource Name (ARN) of the KMS key used to encrypt the resource.

      • status (string) –

        The status of the data source. The following statuses are possible:

        • Available – The data source has been created and is ready for ingestion into the knowledge base.

        • Deleting – The data source is being deleted.

      • updatedAt (datetime) –

        The time at which the data source was last updated.

      • vectorIngestionConfiguration (dict) –

        Contains details about how to ingest the documents in the data source.

        • chunkingConfiguration (dict) –

          Details about how to chunk the documents in the data source. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried.

          • chunkingStrategy (string) –

            Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried. You have the following options for chunking your data. If you opt for NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.

            • FIXED_SIZE – Amazon Bedrock splits your source data into chunks of the approximate size that you set in the fixedSizeChunkingConfiguration.

            • NONE – Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.

          • fixedSizeChunkingConfiguration (dict) –

            Configurations for when you choose fixed-size chunking. If you set the chunkingStrategy as NONE, exclude this field.

            • maxTokens (integer) –

              The maximum number of tokens to include in a chunk.

            • overlapPercentage (integer) –

              The percentage of overlap between adjacent chunks of a data source.

Exceptions