[orange add-on][roiselection] add Setting

orangecontrib/id06workflow/widgets/roiselection.py

@@ -33,7 +33,7 @@ from silx.gui import qt
 from Orange.canvas.registry.description import InputSignal, OutputSignal
 from Orange.widgets import gui
 from Orange.widgets.widget import OWWidget
-
+from Orange.widgets.settings import Setting
 from id06workflow.core.experiment import Experiment
 from id06workflow.core.operation.roi import RoiOperation
 from id06workflow.gui.roiselection import ROIOnStackView
@@ -63,6 +63,9 @@ class RoiSelectionOW(OWWidget):
     resizing_enabled = True
     compress_signal = False
 
+    _roi_origin = Setting(tuple())
+    _roi_size = Setting(tuple())
+
     def __init__(self):
         super().__init__()
 
@@ -83,6 +86,11 @@ class RoiSelectionOW(OWWidget):
         # expose API
         self.setROI = self._widget.setROI
 
+        if len(self._roi_size) is 2:
+            self._widget.getROI().setSize(size=self._roi_size)
+        if len(self._roi_origin) is 2:
+            self._widget.getROI().setOrigin(self._roi_origin)
+
     def _process(self, experiment):
         if experiment.dataset is None or experiment.dataset.is_valid() is False:
             _logger.warning('cannot process roi selection, need a valid dataset for this')
@@ -116,3 +124,11 @@ class RoiSelectionOW(OWWidget):
         else:
             OWWidget.accept(self)
         # TODO: what can be the image to send to show roi selection (z sum ?)
+
+    def updateProperties(self):
+        # as dim are named tuple we have to cast them to dict
+        self._roi_origin = tuple(self._widget.getROI().getOrigin())
+        self._roi_size = tuple(self._widget.getROI().getSize())
+
+        print(self._roi_origin)
+        print(self._roi_size)