update_environment_connector ¶

def update_environment_connector(
    self,
    environment_id: "capo_evs.types.environment_id.EnvironmentId",
    connector_id: "capo_evs.types.connector_id.ConnectorId",
    *,
    config_overrides: Optional[evsClientConfig] = None,
    client_token: Optional["capo_evs.types.client_token.ClientToken"] = None,
    appliance_fqdn: Optional["capo_evs.types.appliance_fqdn.ApplianceFqdn"] = None,
    secret_identifier: Optional[
        "capo_evs.types.secret_identifier.SecretIdentifier"
    ] = None,
) -> "capo_evs.types.update_environment_connector_response.UpdateEnvironmentConnectorResponse":
    """<p>Updates a connector for an Amazon EVS environment. You can update the Amazon Web Services Secrets Manager secret ARN or the appliance FQDN to reconfigure the connector metadata.</p> <note> <p>You cannot update both the secret and the FQDN in the same request.</p> </note>

    Args:
        client_token: <note> <p>This parameter is not used in Amazon EVS currently. If you supply input for this parameter, it will have no effect.</p> </note> <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the connector update request. If you do not specify a client token, a randomly generated token is used for the request to ensure idempotency.</p>
        environment_id: <p>A unique ID for the environment that the connector belongs to.</p>
        connector_id: <p>A unique ID for the connector to update.</p>
        appliance_fqdn: <p>The new fully qualified domain name (FQDN) of the VCF appliance that the connector connects to.</p>
        secret_identifier: <p>The new ARN or name of the Amazon Web Services Secrets Manager secret that stores the credentials for the VCF appliance.</p>

    Raises:
        capo_evs.errors.resource_not_found_exception.ResourceNotFoundException: <p>A service resource associated with the request could not be found. The resource might not be specified correctly, or it may have a <code>state</code> of <code>DELETED</code>.</p>
        capo_evs.errors.throttling_exception.ThrottlingException: <p>The operation could not be performed because the service is throttling requests. This exception is thrown when the service endpoint receives too many concurrent requests.</p>
        capo_evs.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints. You will see this exception if invalid inputs are provided for any of the Amazon EVS environment operations, or if a list operation is performed on an environment resource that is still initializing.</p>
        capo_evs.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_evs.types.update_environment_connector_request.UpdateEnvironmentConnectorRequest]",
    ) -> OperationResponse[
        "capo_evs.types.update_environment_connector_response.UpdateEnvironmentConnectorResponse"
    ]:
        import capo_evs._operations.amazon_elastic_v_mware_service.update_environment_connector

        output, http_response = (
            capo_evs._operations.amazon_elastic_v_mware_service.update_environment_connector.update_environment_connector(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateEnvironmentConnector")
    )
    input_: capo_evs.types.update_environment_connector_request.UpdateEnvironmentConnectorRequest = {
        "environment_id": environment_id,
        "connector_id": connector_id,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token
    if appliance_fqdn is not None:
        input_["appliance_fqdn"] = appliance_fqdn
    if secret_identifier is not None:
        input_["secret_identifier"] = secret_identifier

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