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list_service_instance_provisioned_resources

list_service_instance_provisioned_resources(
    service_name: ResourceName,
    service_instance_name: ResourceName,
    *,
    config_overrides: Optional[ProtonClientConfig] = None,
    next_token: Optional[EmptyNextToken] = None,
) -> ListServiceInstanceProvisionedResourcesOutput

List provisioned resources for a service instance with details.

Parameters:

  • service_name (ResourceName) –

    The name of the service that serviceInstanceName is associated to.

  • service_instance_name (ResourceName) –

    The name of the service instance whose provisioned resources you want.

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

    A token that indicates the location of the next provisioned resource in the array of provisioned resources, after the list of provisioned resources that was previously requested.

Raises:

Source code in docs_src/capo_proton/_services/proton.py
def list_service_instance_provisioned_resources(
    self,
    service_name: "capo_proton.types.resource_name.ResourceName",
    service_instance_name: "capo_proton.types.resource_name.ResourceName",
    *,
    config_overrides: Optional[ProtonClientConfig] = None,
    next_token: Optional[
        "capo_proton.types.empty_next_token.EmptyNextToken"
    ] = None,
) -> "capo_proton.types.list_service_instance_provisioned_resources_output.ListServiceInstanceProvisionedResourcesOutput":
    """<p>List provisioned resources for a service instance with details.</p>

    Args:
        service_name: <p>The name of the service that <code>serviceInstanceName</code> is associated to.</p>
        service_instance_name: <p>The name of the service instance whose provisioned resources you want.</p>
        next_token: <p>A token that indicates the location of the next provisioned resource in the array of provisioned resources, after the list of provisioned resources that was previously requested.</p>

    Raises:
        capo_proton.errors.access_denied_exception.AccessDeniedException: <p>There <i>isn't</i> sufficient access for performing this action.</p>
        capo_proton.errors.internal_server_exception.InternalServerException: <p>The request failed to register with the service.</p>
        capo_proton.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource <i>wasn't</i> found.</p>
        capo_proton.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_proton.errors.validation_exception.ValidationException: <p>The input is invalid or an out-of-range value was supplied for the input parameter.</p>
        capo_proton.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_proton.types.list_service_instance_provisioned_resources_input.ListServiceInstanceProvisionedResourcesInput]",
    ) -> OperationResponse[
        "capo_proton.types.list_service_instance_provisioned_resources_output.ListServiceInstanceProvisionedResourcesOutput"
    ]:
        import capo_proton._operations.aws_proton20200720.list_service_instance_provisioned_resources

        output, http_response = (
            capo_proton._operations.aws_proton20200720.list_service_instance_provisioned_resources.list_service_instance_provisioned_resources(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListServiceInstanceProvisionedResources"),
    )
    input_: capo_proton.types.list_service_instance_provisioned_resources_input.ListServiceInstanceProvisionedResourcesInput = {
        "service_name": service_name,
        "service_instance_name": service_instance_name,
    }
    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