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update_logging_configuration async

update_logging_configuration(
    workspace_id: WorkspaceId,
    log_group_arn: LogGroupArn,
    *,
    config_overrides: Optional[AsyncampClientConfig] = None,
    client_token: Optional[IdempotencyToken] = None,
) -> UpdateLoggingConfigurationResponse

Updates the log group ARN or the workspace ID of the current rules and alerting logging configuration.

These logging configurations are only for rules and alerting logs.

Parameters:

  • workspace_id (WorkspaceId) –

    The ID of the workspace to update the logging configuration for.

  • log_group_arn (LogGroupArn) –

    The ARN of the CloudWatch log group to which the vended log data will be published.

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

    A unique identifier that you can provide to ensure the idempotency of the request. Case-sensitive.

Raises:

Source code in docs_src/capo_amp/_services/async_amp.py
async def update_logging_configuration(
    self,
    workspace_id: "capo_amp.types.workspace_id.WorkspaceId",
    log_group_arn: "capo_amp.types.log_group_arn.LogGroupArn",
    *,
    config_overrides: Optional[AsyncampClientConfig] = None,
    client_token: Optional[
        "capo_amp.types.idempotency_token.IdempotencyToken"
    ] = None,
) -> "capo_amp.types.update_logging_configuration_response.UpdateLoggingConfigurationResponse":
    """<p>Updates the log group ARN or the workspace ID of the current rules and alerting logging configuration.</p> <note> <p>These logging configurations are only for rules and alerting logs.</p> </note>

    Args:
        workspace_id: <p>The ID of the workspace to update the logging configuration for.</p>
        log_group_arn: <p>The ARN of the CloudWatch log group to which the vended log data will be published.</p>
        client_token: <p>A unique identifier that you can provide to ensure the idempotency of the request. Case-sensitive.</p>

    Raises:
        capo_amp.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_amp.errors.conflict_exception.ConflictException: <p>The request would cause an inconsistent state.</p>
        capo_amp.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred during the processing of the request.</p>
        capo_amp.errors.resource_not_found_exception.ResourceNotFoundException: <p>The request references a resources that doesn't exist.</p>
        capo_amp.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_amp.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_amp.types.update_logging_configuration_request.UpdateLoggingConfigurationRequest]",
    ) -> AsyncOperationResponse[
        "capo_amp.types.update_logging_configuration_response.UpdateLoggingConfigurationResponse"
    ]:
        import capo_amp._operations.amazon_prometheus_service.update_logging_configuration

        (
            output,
            http_response,
        ) = await capo_amp._operations.amazon_prometheus_service.update_logging_configuration.async_update_logging_configuration(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateLoggingConfiguration")
    )
    input_: capo_amp.types.update_logging_configuration_request.UpdateLoggingConfigurationRequest = {
        "workspace_id": workspace_id,
        "log_group_arn": log_group_arn,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output