delete_environment_action ¶

delete_environment_action(
    domain_identifier: DomainId,
    environment_identifier: EnvironmentId,
    identifier: str,
    *,
    config_overrides: Optional[DataZoneClientConfig] = None,
) -> None

Deletes an action for the environment, for example, deletes a console link for an analytics tool that is available in this environment.

Parameters:

domain_identifier (DomainId) –

The ID of the Amazon DataZone domain in which an environment action is deleted.
environment_identifier (EnvironmentId) –

The ID of the environment where an environment action is deleted.
identifier (str) –

The ID of the environment action that is deleted.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
ThrottlingException –

The request was denied due to request throttling.
UnauthorizedException –

You do not have permission to perform this action.
ConflictException –

There is a conflict while performing this action.
InternalServerException –

The request has failed because of an unknown error, exception or failure.
ResourceNotFoundException –

The specified resource cannot be found.
ValidationException –

The input fails to satisfy the constraints specified by the Amazon Web Services service.
UnknownServiceError –

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

Source code in docs_src/capo_datazone/_services/data_zone.py

def delete_environment_action(
    self,
    domain_identifier: "capo_datazone.types.domain_id.DomainId",
    environment_identifier: "capo_datazone.types.environment_id.EnvironmentId",
    identifier: str,
    *,
    config_overrides: Optional[DataZoneClientConfig] = None,
) -> None:
    """<p>Deletes an action for the environment, for example, deletes a console link for an analytics tool that is available in this environment.</p>

    Args:
        domain_identifier: <p>The ID of the Amazon DataZone domain in which an environment action is deleted.</p>
        environment_identifier: <p>The ID of the environment where an environment action is deleted.</p>
        identifier: <p>The ID of the environment action that is deleted.</p>

    Raises:
        capo_datazone.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_datazone.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_datazone.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
        capo_datazone.errors.conflict_exception.ConflictException: <p>There is a conflict while performing this action.</p>
        capo_datazone.errors.internal_server_exception.InternalServerException: <p>The request has failed because of an unknown error, exception or failure.</p>
        capo_datazone.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
        capo_datazone.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the Amazon Web Services service.</p>
        capo_datazone.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_datazone.types.delete_environment_action_input.DeleteEnvironmentActionInput]",
    ) -> OperationResponse[None]:
        import capo_datazone._operations.data_zone.delete_environment_action

        output, http_response = (
            capo_datazone._operations.data_zone.delete_environment_action.delete_environment_action(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteEnvironmentAction")
    )
    input_: capo_datazone.types.delete_environment_action_input.DeleteEnvironmentActionInput = {
        "domain_identifier": domain_identifier,
        "environment_identifier": environment_identifier,
        "identifier": identifier,
    }

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