put_principal_mapping async ¶

async def put_principal_mapping(
    self,
    index_id: "capo_kendra.types.index_id.IndexId",
    group_id: "capo_kendra.types.group_id.GroupId",
    group_members: "capo_kendra.types.group_members.GroupMembers",
    *,
    config_overrides: Optional[AsynckendraClientConfig] = None,
    data_source_id: Optional[
        "capo_kendra.types.data_source_id.DataSourceId"
    ] = None,
    ordering_id: Optional[
        "capo_kendra.types.principal_ordering_id.PrincipalOrderingId"
    ] = None,
    role_arn: Optional["capo_kendra.types.role_arn.RoleArn"] = None,
) -> None:
    """<p>Maps users to their groups so that you only need to provide the user ID when you issue the query.</p> <p>You can also map sub groups to groups. For example, the group "Company Intellectual Property Teams" includes sub groups "Research" and "Engineering". These sub groups include their own list of users or people who work in these teams. Only users who work in research and engineering, and therefore belong in the intellectual property group, can see top-secret company documents in their search results.</p> <p>This is useful for user context filtering, where search results are filtered based on the user or their group access to documents. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html">Filtering on user context</a>.</p> <p>If more than five <code>PUT</code> actions for a group are currently processing, a validation exception is thrown.</p>

    Args:
        index_id: <p>The identifier of the index you want to map users to their groups.</p>
        data_source_id: <p>The identifier of the data source you want to map users to their groups.</p> <p>This is useful if a group is tied to multiple data sources, but you only want the group to access documents of a certain data source. For example, the groups "Research", "Engineering", and "Sales and Marketing" are all tied to the company's documents stored in the data sources Confluence and Salesforce. However, "Sales and Marketing" team only needs access to customer-related documents stored in Salesforce.</p>
        group_id: <p>The identifier of the group you want to map its users to.</p>
        group_members: <p>The list that contains your users that belong the same group. This can include sub groups that belong to a group.</p> <p>For example, the group "Company A" includes the user "CEO" and the sub groups "Research", "Engineering", and "Sales and Marketing".</p> <p>If you have more than 1000 users and/or sub groups for a single group, you need to provide the path to the S3 file that lists your users and sub groups for a group. Your sub groups can contain more than 1000 users, but the list of sub groups that belong to a group (and/or users) must be no more than 1000.</p>
        ordering_id: <p>The timestamp identifier you specify to ensure Amazon Kendra doesn't override the latest <code>PUT</code> action with previous actions. The highest number ID, which is the ordering ID, is the latest action you want to process and apply on top of other actions with lower number IDs. This prevents previous actions with lower number IDs from possibly overriding the latest action.</p> <p>The ordering ID can be the Unix time of the last update you made to a group members list. You would then provide this list when calling <code>PutPrincipalMapping</code>. This ensures your <code>PUT</code> action for that updated group with the latest members list doesn't get overwritten by earlier <code>PUT</code> actions for the same group which are yet to be processed.</p> <p>The default ordering ID is the current Unix time in milliseconds that the action was received by Amazon Kendra.</p>
        role_arn: <p>The Amazon Resource Name (ARN) of an IAM role that has access to the S3 file that contains your list of users that belong to a group.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html#iam-roles-ds">IAM roles for Amazon Kendra</a>.</p>

    Raises:
        capo_kendra.errors.access_denied_exception.AccessDeniedException: <p>You don't have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.</p>
        capo_kendra.errors.conflict_exception.ConflictException: <p>A conflict occurred with the request. Please fix any inconsistences with your resources and try again.</p>
        capo_kendra.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra service. Please wait a few minutes and try again, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> for help.</p>
        capo_kendra.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you want to use doesn’t exist. Please check you have provided the correct resource and try again.</p>
        capo_kendra.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You have exceeded the set limits for your Amazon Kendra service. Please see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a> for more information, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> to inquire about an increase of limits.</p>
        capo_kendra.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Please reduce the number of requests and try again.</p>
        capo_kendra.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.</p>
        capo_kendra.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kendra.types.put_principal_mapping_request.PutPrincipalMappingRequest]",
    ) -> AsyncOperationResponse[None]:
        import capo_kendra._operations.aws_kendra_frontend_service.put_principal_mapping

        (
            output,
            http_response,
        ) = await capo_kendra._operations.aws_kendra_frontend_service.put_principal_mapping.async_put_principal_mapping(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PutPrincipalMapping")
    )
    input_: capo_kendra.types.put_principal_mapping_request.PutPrincipalMappingRequest = {
        "index_id": index_id,
        "group_id": group_id,
        "group_members": group_members,
    }
    if data_source_id is not None:
        input_["data_source_id"] = data_source_id
    if ordering_id is not None:
        input_["ordering_id"] = ordering_id
    if role_arn is not None:
        input_["role_arn"] = role_arn

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output