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delete_environment_connector

delete_environment_connector(
    environment_id: EnvironmentId,
    connector_id: ConnectorId,
    *,
    config_overrides: Optional[evsClientConfig] = None,
    client_token: Optional[ClientToken] = None,
) -> DeleteEnvironmentConnectorResponse

Deletes a connector from an Amazon EVS environment.

Before deleting a connector, you must remove all entitlements that are associated with the same vCenter.

Parameters:

  • client_token (Optional[ClientToken], default: None ) –

    This parameter is not used in Amazon EVS currently. If you supply input for this parameter, it will have no effect.

    A unique, case-sensitive identifier that you provide to ensure the idempotency of the connector deletion request. If you do not specify a client token, a randomly generated token is used for the request to ensure idempotency.

  • environment_id (EnvironmentId) –

    A unique ID for the environment that the connector belongs to.

  • connector_id (ConnectorId) –

    A unique ID for the connector to be deleted.

Raises:

  • ResourceNotFoundException –

    A service resource associated with the request could not be found. The resource might not be specified correctly, or it may have a state of DELETED.

  • ThrottlingException –

    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.

  • ValidationException –

    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.

  • UnknownServiceError –

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

Source code in docs_src/capo_evs/_services/evs.py
def delete_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,
) -> "capo_evs.types.delete_environment_connector_response.DeleteEnvironmentConnectorResponse":
    """<p>Deletes a connector from an Amazon EVS environment.</p> <note> <p>Before deleting a connector, you must remove all entitlements that are associated with the same vCenter.</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 deletion 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 be deleted.</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.delete_environment_connector_request.DeleteEnvironmentConnectorRequest]",
    ) -> OperationResponse[
        "capo_evs.types.delete_environment_connector_response.DeleteEnvironmentConnectorResponse"
    ]:
        import capo_evs._operations.amazon_elastic_v_mware_service.delete_environment_connector

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteEnvironmentConnector")
    )
    input_: capo_evs.types.delete_environment_connector_request.DeleteEnvironmentConnectorRequest = {
        "environment_id": environment_id,
        "connector_id": connector_id,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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