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list_templates

list_templates(
    connector_arn: ConnectorArn,
    *,
    config_overrides: Optional[PcaConnectorAdClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[NextToken] = None,
) -> ListTemplatesResponse

Lists the templates, if any, that are associated with a connector.

Parameters:

  • max_results (Optional[MaxResults], default: None ) –

    Use this parameter when paginating results to specify the maximum number of items to return in the response on each page. If additional items exist beyond the number you specify, the NextToken element is sent in the response. Use this NextToken value in a subsequent request to retrieve additional items.

  • next_token (Optional[NextToken], default: None ) –

    Use this parameter when paginating results in a subsequent request after you receive a response with truncated results. Set it to the value of the NextToken parameter from the response you just received.

  • connector_arn (ConnectorArn) –

    The Amazon Resource Name (ARN) that was returned when you called CreateConnector.

Raises:

  • AccessDeniedException –

    You can receive this error if you attempt to create a resource share when you don't have the required permissions. This can be caused by insufficient permissions in policies attached to your Amazon Web Services Identity and Access Management (IAM) principal. It can also happen because of restrictions in place from an Amazon Web Services Organizations service control policy (SCP) that affects your Amazon Web Services account.

  • InternalServerException –

    The request processing has failed because of an unknown error, exception or failure with an internal server.

  • ResourceNotFoundException –

    The operation tried to access a nonexistent resource. The resource might not be specified correctly, or its status might not be ACTIVE.

  • ThrottlingException –

    The limit on the number of requests per second was exceeded.

  • ValidationException –

    An input validation error occurred. For example, invalid characters in a template name, or if a pagination token is invalid.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_pca_connector_ad/_services/pca_connector_ad.py
def list_templates(
    self,
    connector_arn: "capo_pca_connector_ad.types.connector_arn.ConnectorArn",
    *,
    config_overrides: Optional[PcaConnectorAdClientConfig] = None,
    max_results: Optional[
        "capo_pca_connector_ad.types.max_results.MaxResults"
    ] = None,
    next_token: Optional["capo_pca_connector_ad.types.next_token.NextToken"] = None,
) -> "capo_pca_connector_ad.types.list_templates_response.ListTemplatesResponse":
    """<p>Lists the templates, if any, that are associated with a connector.</p>

    Args:
        max_results: <p>Use this parameter when paginating results to specify the maximum number of items to return in the response on each page. If additional items exist beyond the number you specify, the <code>NextToken</code> element is sent in the response. Use this <code>NextToken</code> value in a subsequent request to retrieve additional items.</p>
        next_token: <p>Use this parameter when paginating results in a subsequent request after you receive a response with truncated results. Set it to the value of the <code>NextToken</code> parameter from the response you just received.</p>
        connector_arn: <p>The Amazon Resource Name (ARN) that was returned when you called <a href="https://docs.aws.amazon.com/pca-connector-ad/latest/APIReference/API_CreateConnector.html">CreateConnector</a>.</p>

    Raises:
        capo_pca_connector_ad.errors.access_denied_exception.AccessDeniedException: <p>You can receive this error if you attempt to create a resource share when you don't have the required permissions. This can be caused by insufficient permissions in policies attached to your Amazon Web Services Identity and Access Management (IAM) principal. It can also happen because of restrictions in place from an Amazon Web Services Organizations service control policy (SCP) that affects your Amazon Web Services account. </p>
        capo_pca_connector_ad.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure with an internal server. </p>
        capo_pca_connector_ad.errors.resource_not_found_exception.ResourceNotFoundException: <p>The operation tried to access a nonexistent resource. The resource might not be specified correctly, or its status might not be ACTIVE.</p>
        capo_pca_connector_ad.errors.throttling_exception.ThrottlingException: <p>The limit on the number of requests per second was exceeded. </p>
        capo_pca_connector_ad.errors.validation_exception.ValidationException: <p>An input validation error occurred. For example, invalid characters in a template name, or if a pagination token is invalid. </p>
        capo_pca_connector_ad.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_pca_connector_ad.types.list_templates_request.ListTemplatesRequest]",
    ) -> OperationResponse[
        "capo_pca_connector_ad.types.list_templates_response.ListTemplatesResponse"
    ]:
        import capo_pca_connector_ad._operations.pca_connector_ad.list_templates

        output, http_response = (
            capo_pca_connector_ad._operations.pca_connector_ad.list_templates.list_templates(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListTemplates")
    )
    input_: capo_pca_connector_ad.types.list_templates_request.ListTemplatesRequest = {
        "connector_arn": connector_arn
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output