def __init__(self, facility, view=None):
super(RunTabPresenter, self).__init__()
self._facility = facility
# Logger
self.sans_logger = Logger("SANS")
# Name of grpah to output to
self.output_graph = 'SANS-Latest'
self.progress = 0
# Models that are being used by the presenter
self._state_model = None
self._table_model = TableModel()
# Presenter needs to have a handle on the view since it delegates it
self._view = None
self.set_view(view)
self._processing = False
self.work_handler = WorkHandler()
self.batch_process_runner = BatchProcessRunner(self.notify_progress, self.on_processing_finished, self.on_processing_error)
# File information for the first input
self._file_information = None
self._clipboard = []
# Settings diagnostic tab presenter
self._settings_diagnostic_tab_presenter = SettingsDiagnosticPresenter(self)
# Masking table presenter
self._masking_table_presenter = MaskingTablePresenter(self)
# Beam centre presenter
self._beam_centre_presenter = BeamCentrePresenter(self, WorkHandler, BeamCentreModel, SANSCentreFinder)
# Workspace Diagnostic page presenter
self._workspace_diagnostic_presenter = DiagnosticsPagePresenter(self, WorkHandler, run_integral, create_state, self._facility)
def __init__(self, facility, view=None):
super(RunTabPresenter, self).__init__()
self._facility = facility
# Logger
self.sans_logger = Logger("SANS")
# Presenter needs to have a handle on the view since it delegates it
self._view = None
self.set_view(view)
# Models that are being used by the presenter
self._state_model = None
self._table_model = None
# Due to the nature of the DataProcessorWidget we need to provide an algorithm with at least one input
# workspace and at least one output workspace. Our SANS state approach is not compatible with this. Hence
# we provide a dummy workspace which is not used. We keep it invisible on the ADS and delete it when the
# main_presenter is deleted.
# This is not a nice solution but in line with the SANS dummy algorithm approach that we have provided
# for the
self._create_dummy_input_workspace()
# File information for the first input
self._file_information = None
# Settings diagnostic tab presenter
self._settings_diagnostic_tab_presenter = SettingsDiagnosticPresenter(
self)
# Masking table presenter
self._masking_table_presenter = MaskingTablePresenter(self)
# Beam centre presenter
self._beam_centre_presenter = BeamCentrePresenter(self)
def test_that_set_scaling_is_not_called_when_file_information_does_not_exist(self):
self.parent_presenter._file_information = None
self.presenter = BeamCentrePresenter(self.parent_presenter, self.WorkHandler, self.BeamCentreModel,
self.SANSCentreFinder)
self.presenter.set_view(self.view)
self.presenter.on_update_rows()
self.presenter._beam_centre_model.set_scaling.assert_not_called()
def test_that_set_scaling_is_not_called_when_file_information_does_not_exist(
self, beam_centre_model_mock):
self.parent_presenter._file_information = None #mock.MagicMock(return_value = None)
self.presenter = BeamCentrePresenter(self.parent_presenter)
self.presenter.set_view(self.view)
self.presenter.on_update_rows()
self.presenter._beam_centre_model.set_scaling.assert_not_called()
def test_that_set_scaling_is_called_on_update_rows_when_file_information_exists(
self, beam_centre_model_mock):
self.presenter = BeamCentrePresenter(self.parent_presenter)
self.presenter.set_view(self.view)
self.presenter.on_update_rows()
self.presenter._beam_centre_model.set_scaling.assert_called_once_with(
SANSInstrument.LARMOR)
def setUp(self):
self.parent_presenter = create_run_tab_presenter_mock(
use_fake_state=False)
self.parent_presenter._file_information = mock.MagicMock()
self.parent_presenter._file_information.get_instrument = mock.MagicMock(
return_value=SANSInstrument.LARMOR)
self.presenter = BeamCentrePresenter(self.parent_presenter)
self.view = create_mock_beam_centre_tab()
def setUp(self):
self.parent_presenter = create_run_tab_presenter_mock(use_fake_state = False)
self.view = create_mock_beam_centre_tab()
self.WorkHandler = mock.MagicMock()
self.BeamCentreModel = mock.MagicMock()
self.SANSCentreFinder = mock.MagicMock()
self.presenter = BeamCentrePresenter(self.parent_presenter, self.SANSCentreFinder,
work_handler=self.WorkHandler, beam_centre_model=self.BeamCentreModel)
self.presenter.connect_signals = mock.Mock()
self.presenter.set_view(self.view)
def setUp(self):
self.parent_presenter = create_run_tab_presenter_mock(use_fake_state = False)
self.parent_presenter._file_information = mock.MagicMock()
self.parent_presenter._file_information.get_instrument = mock.MagicMock(return_value = SANSInstrument.LARMOR)
self.view = create_mock_beam_centre_tab()
self.WorkHandler = mock.MagicMock()
self.BeamCentreModel = mock.MagicMock()
self.SANSCentreFinder = mock.MagicMock()
self.presenter = BeamCentrePresenter(self.parent_presenter, self.WorkHandler, self.BeamCentreModel,
self.SANSCentreFinder)
self.presenter.connect_signals = mock.Mock()
def test_that_on_run_clicked_calls_find_beam_centre(
self, work_handler_mock):
self.presenter = BeamCentrePresenter(self.parent_presenter)
self.presenter.set_view(self.view)
self.presenter.on_run_clicked()
self.assertTrue(work_handler_mock.return_value.process.call_count == 1)
self.assertTrue(work_handler_mock.return_value.process.call_args[0][1]
== find_beam_centre)
self.assertTrue(work_handler_mock.return_value.process.call_args[0][3]
== self.presenter._beam_centre_model)