list_test_grid_projects ¶

def list_test_grid_projects(
    self,
    *,
    config_overrides: Optional[DeviceFarmClientConfig] = None,
    max_result: Optional["capo_device_farm.types.max_page_size.MaxPageSize"] = None,
    next_token: Optional[
        "capo_device_farm.types.pagination_token.PaginationToken"
    ] = None,
) -> "capo_device_farm.types.list_test_grid_projects_result.ListTestGridProjectsResult":
    """<p>Gets a list of all Selenium testing projects in your account.</p>

    Args:
        max_result: <p>Return no more than this number of results.</p>
        next_token: <p>From a response, used to continue a paginated listing. </p>

    Raises:
        capo_device_farm.errors.argument_exception.ArgumentException: <p>An invalid argument was specified.</p>
        capo_device_farm.errors.internal_service_exception.InternalServiceException: <p>An internal exception was raised in the service. Contact <a href="mailto:[email protected]">[email protected]</a> if you see this error. </p>
        capo_device_farm.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_device_farm.types.list_test_grid_projects_request.ListTestGridProjectsRequest]",
    ) -> OperationResponse[
        "capo_device_farm.types.list_test_grid_projects_result.ListTestGridProjectsResult"
    ]:
        import capo_device_farm._operations.device_farm_20150623.list_test_grid_projects

        output, http_response = (
            capo_device_farm._operations.device_farm_20150623.list_test_grid_projects.list_test_grid_projects(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListTestGridProjects")
    )
    input_: capo_device_farm.types.list_test_grid_projects_request.ListTestGridProjectsRequest = {}
    if max_result is not None:
        input_["max_result"] = max_result
    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