def btn_save_clicked(self):
'''
When save is clicked
1. Prompt the user for the name and type of the object
2. save the object
'''
data = prompt_saving()
if len(self.current_result_point_indices) == 0:
self.writeMessage("There are no points to save")
else:
import json
a = []
if not os.path.isfile(self.data_fname):
self.largest_seg_id = self.largest_seg_id + 1
segment = Segment(id=self.largest_seg_id,
data_file_name=self.current_data_file_name,
segment_name=data["seg_name"],
indices=self.current_result_point_indices,
type_class=(data["type_class"], 1))
self.addSegmentationItem(segment)
entry = segment.json()
a.append(entry)
with open(self.data_fname, mode='w') as f:
f.write(json.dumps(a, indent=2))
else:
with open(self.data_fname) as feedsjson:
feeds = json.load(feedsjson)
self.largest_seg_id = len(feeds)
segment = Segment(id=self.largest_seg_id,
data_file_name=self.current_data_file_name,
segment_name=data["seg_name"],
indices=self.current_result_point_indices,
type_class=(data["type_class"], 1))
self.addSegmentationItem(segment)
entry = segment.json()
feeds.append(entry)
with open(self.data_fname, mode='w') as f:
f.write(json.dumps(feeds, indent=2))
self.lowerScene.clear()
# added by Star: unselect points, resume their color and size to original ones
self.resume_selected_points()
def btn_delete_clicked(self):
'''
When delete is clicked
1. Prompt the user for the name of the save/object
2. Delete the object from the segmentation_list
3. Delete the object from segments.json
4. Reorder the remaining objects
5. Delete segments.json if there are no remaining saves
'''
# prompt the user for a save to delete and pass in the available segment_name's
name = prompt_deleting([s.segment_name for s in self.segmentations])
import json
with open(self.data_fname, mode='r') as f:
segmentations = json.load(f)
# data to be saved in segments.json
data = []
# initialize removed_id to be an out-of-bounds value (will be updated in the loop)
removed_id = len(segmentations)
for segment in segmentations:
segment_dict = json.loads(segment)
seg = Segment(**segment_dict)
if seg.segment_name != name:
# reorder remaining Segments if deletion has already been performed
if seg.id > removed_id:
seg.id -= 1
# https://doc.qt.io/qtforpython/PySide2/QtWidgets/QListWidgetItem.html
self.segmentation_list.item(seg.id).setText(
"{} | {} | {}".format(seg.id, seg.segment_name,
seg.type_class))
# save the new id in the backend
self.segmentations[seg.id].id -= 1
entry = seg.json()
data.append(entry)
else:
# remove the selected Segment from backend
self.segmentations.pop(seg.id)
# remove the selected Segment from frontend (https://doc.qt.io/archives/qt-4.8/qlistwidget.html#takeItem)
self.segmentation_list.takeItem(seg.id)
# save the removed_id to reorder subsequent Segments
removed_id = seg.id
# delete segments.json if no Segments remain
if not data:
os.remove(self.data_fname)
# otherwise, save the remaining Segments
else:
with open(self.data_fname, mode='w') as f:
f.write(json.dumps(data, indent=2))
def btn_combine_clicked(self):
data = prompt_saving()
if len(self.multi_segments_point_indices) == 0:
self.writeMessage(
"No segments are selected to combine. Please apply first.")
return
# reuse the codes in btn_save_clicked. Can be refractored later.
import json
a = []
if not os.path.isfile(self.data_fname):
self.largest_seg_id = self.largest_seg_id + 1
segment = Segment(id=self.largest_seg_id,
data_file_name=self.current_data_file_name,
segment_name=data["seg_name"],
indices=self.multi_segments_point_indices,
type_class=(data["type_class"], 1))
self.addSegmentationItem(segment)
entry = segment.json()
a.append(entry)
with open(self.data_fname, mode='w') as f:
f.write(json.dumps(a, indent=2))
else:
with open(self.data_fname) as feedsjson:
feeds = json.load(feedsjson)
self.largest_seg_id = len(feeds)
segment = Segment(id=self.largest_seg_id,
data_file_name=self.current_data_file_name,
segment_name=data["seg_name"],
indices=self.multi_segments_point_indices,
type_class=(data["type_class"], 1))
self.addSegmentationItem(segment)
entry = segment.json()
feeds.append(entry)
with open(self.data_fname, mode='w') as f:
f.write(json.dumps(feeds, indent=2))
