def _get_matfile_object(self, fullpath: pathlib.Path):
try: # MATLAB 7.3 file needs to be loaded as HDF5 [install HDF5 on your pc from hdfgroup.org]
return h5py.File(fullpath, 'r')
except OSError as e1: # MATLAB < 7.3
try:
return loadmat(fullpath.as_posix(), struct_as_record=False, squeeze_me=True)
except Exception as e2:
Dialog().warningMessage(
'Loading {}.mat with h5py.File() failed\r\n'.format(fullpath.stem) + str(
e1) + '\r\n' + 'Install HDF5 on your pc from hdfgroup.org\r\n' + 'Now attempting to use loadmat()\r\n')
Dialog().warningMessage('Sorry, unsuccessful...\r\n' + str(e2))
def load(self, fullpath):
try:
hf = self._get_matfile_object(fullpath)
assert all(s in hf.keys() for s in ['annotations', 'partitions']), r'h5 must have {} groups'.format(
['annotations', 'partitions'])
assert all([s in hf['partitions'] for s in ['label', 'start', 'end']]), r'h5.partitions must have {} groups'.format(
['label', 'start', 'end'])
labels = hf['partitions/label']
labels = [n.decode('ascii', 'ignore') for n in labels]
start = np.array(hf['partitions/start'])
end = np.array(hf['partitions/end'])
assert len(labels) == start.size & start.size == end.size, 'Every partition should have label, start and end'
Partitions.add_all(labels, start, end)
from logic.operation_mode.annotation import AnnotationConfig
assert all([s in AnnotationConfig.all_fiducials() for s in hf['annotations']]), 'All h5.annotations must be in {} groups'.format(
AnnotationConfig.all_fiducials())
for f_name in hf['annotations'].keys():
self._set_annotation_from_time(f_name, np.array(hf['annotations/' + f_name + '/ts']))
from gui.viewer import Viewer
try: # when loaded during initialization
Viewer.get().selectedDisplayPanel.plot_area.redraw_fiducials() # to update and show loaded data
except:
pass
try: # can be removed after thorough testing
if 'epoch' in hf.keys():
assert all(
[f in hf['epoch'] for f in
['start', 'end', 'is_modified', 'label', 'all_labels', 'keys',
'default_label']]), 'Loaded file contains incorrect epoch mode data'
labels = [n.decode('ascii', 'ignore') for n in hf['epoch/label']]
epoch_data = pd.DataFrame(
{'start': hf['epoch/start'], 'end': hf['epoch/end'], 'is_modified': hf['epoch/is_modified'], 'label': labels})
keys = [n.decode('ascii', 'ignore') for n in hf['epoch/keys']]
all_labels = [n.decode('ascii', 'ignore') for n in hf['epoch/all_labels']]
description = [n.decode('ascii', 'ignore') for n in hf['epoch/description']]
default_label = hf['epoch/default_label'][0]
NONE_LABEL = hf['epoch/NONE_LABEL'][0]
EpochModeConfig.load_from_hdf5(epoch_data, keys, all_labels, default_label, NONE_LABEL, description=description)
except Exception as e:
Dialog().warningMessage('Epoch mode data cannot be loaded\r\n' +
'The error was:\r\n' + str(e))
except Exception as e:
Dialog().warningMessage('Loading existing annotations failed\r\n' +
'The error was:\r\n' + str(e))
def onclick_select(self):
try:
fn = [
pathlib.Path(self.db.DATAPATH, item.text())
for item in self.listWidget_files.selectedItems()
]
if len(fn) > 1:
Dialog().warningMessage(
'Multiple file selection not implemented')
self.selected_files = fn
global selected_files
selected_files = fn
self.accept()
except Exception as e:
Dialog().warningMessage(str(e))
def set_annotation_data(self):
# NB: used to set initial guesses for annotations, otherwise, one has to start annotation from scratch
# one can use here simple findpeaks() type algos, or more signal-specific python algorigthms
# also possible to run an algo beforehand (e.g. in Matlab), store the results and load them here
# NB: OPTIONAL!!! Load existing annotation if an .h5 file with the same name found in self.existing_annotation_folder (be careful with self.outputfile_prefix)
existing_annotation_file = pathlib.Path(
self.existing_annotations_folder, self.fullpath.stem + '.h5')
existing_annotation_file_with_prefix = pathlib.Path(
self.existing_annotations_folder,
self.outputfile_prefix + self.fullpath.stem + '.h5')
existing_annotation_files = self.get_annotation_file(
self.fullpath.stem)
if existing_annotation_files is not None:
latest_file_idx = np.argmax(
[os.path.getmtime(f) for f in existing_annotation_files])
try:
self.load(existing_annotation_files[latest_file_idx])
qInfo('Loading annotations from {}'.format(
existing_annotation_file_with_prefix))
except Exception as e:
Dialog().warningMessage(
'Loading annotations from {} failed\r\n'.format(
existing_annotation_file_with_prefix) + str(e))
else:
# # NB: 1. Find\fetch preliminary annotation data
ecg = self.tracks[self.main_track_label].value
fs = self.tracks[self.main_track_label].fs
try:
qrs_detector = PanTomkinsQRSDetector(ecg,
fs,
verbose=True,
log_data=False,
plot_data=False,
show_plot=False)
# # NB: 2. Use inherited functions to assign annotations to the main signal
# # all annotation labels should be also in the provided AnnotationConfig file
# # User can use _set_annotation_from_time or _set_annotation_from_idx
self._set_annotation_from_idx('rpeak',
qrs_detector.qrs_peaks_indices)
except Exception as e:
Dialog().warningMessage(
'Failed to use beat detector\r\n'
'Currently you do not have any initial annotations loaded, but\r\n'
'You can fix the issue, or implement another way in set_annotation_data()'
)
def set_annotation_data(self):
# NB: used to set initial guesses for annotations, otherwise, one has to start annotation from scratch
# one can use here simple findpeaks() type algos, or more signal-specific python algorithms
# also possible to run an algo beforehand (e.g. in Matlab), store the results and load them here
# NB: OPTIONAL!!! Load existing annotation if an .h5 file with the same name found in self.existing_annotation_folder (be careful with self.outputfile_prefix)
existing_annotation_file = pathlib.Path(self.existing_annotations_folder, self.fullpath.stem + '.h5')
if self.annotation_exists(existing_annotation_file.stem):
try:
self.load(existing_annotation_file)
qInfo('Loading annotations from {}'.format(existing_annotation_file))
except Exception as e:
Dialog().warningMessage('Loading annotations from {} failed\r\n'.format(existing_annotation_file) + str(e))
else:
# # NB: 1. Find\fetch preliminary annotation data
f = self._get_matfile_object(self.fullpath)
offset = np.concatenate(np.array(f['/data/ppg/ts']))[0] # offset to start at time=0 as signals themselves
peak = np.concatenate(np.array(f['/data/annotations/ppg/peak/timestamps'])) - offset
foot = np.concatenate(np.array(f['/data/annotations/ppg/foot/timestamps'])) - offset
# # NB: 2. Use inherited functions to assign annotations to the main signal
# # all annotation labels should be also in the provided AnnotationConfig file
# # User can use _set_annotation_from_time or _set_annotation_from_idx
self._set_annotation_from_time('peak', peak)
self._set_annotation_from_time('foot', foot)
def clear_annotations_in_this_partition(p: SinglePartition):
"""
batch removing annotations which fall within a partition.
good to have if it is needed to clean large artifact region from spurious fiducials
"""
try:
from logic.operation_mode.annotation import AnnotationConfig
from gui.viewer import Viewer
aConf = AnnotationConfig.get()
for f in aConf.fiducials:
ann = f.annotation
remove_idx = np.arange(bisect.bisect_right(ann.x, p.start), bisect.bisect_left(ann.x, p.end))
nn = max(remove_idx.shape)
result = QtWidgets.QMessageBox.question(Viewer.get(), "Confirm Delete Annotations...",
"Are you sure you want to delete {nn} {name} annotations ?".format(nn=nn, name=ann.name),
QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No)
if result == QtWidgets.QMessageBox.Yes:
ann.x = np.delete(ann.x, remove_idx)
ann.y = np.delete(ann.y, remove_idx)
ann.idx = np.delete(ann.idx, remove_idx)
Viewer.get().selectedDisplayPanel.plot_area.redraw_fiducials()
Partitions.update_all_bounds()
except Exception as e:
Dialog().warningMessage('Deleting annotations failed with\r\n' + str(e))
def test_database_setup(self):
"""
place all asserts\tests in one place
:return: bool
"""
# check type of the data (floats) and dimensions
assert self.output_folder.is_dir(), 'self.output_folder is not a directory'
assert self.existing_annotations_folder.is_dir(), 'self.existing_annotations_folder is not a directory'
assert self.DATAPATH.is_dir(), 'self.DATAPATH is not a directory'
assert self.tracks is not None, 'self.tracks is None'
assert self.annotation_config_file is not None, 'self.annotation_config_file is None'
assert self.main_track_label is not None, 'self.main_track_label is None'
assert len(self.track_labels) == len(set(self.track_labels)),'not all track labels are unique'
assert self.main_track_label in self.track_labels, 'self.main_track_label is not in self.track_labels'
assert self.main_track_label in self.tracks_to_plot_initially, 'self.main_track_label not in self.tracks_to_plot_initially'
assert all([tp in self.track_labels for tp in self.tracks_to_plot_initially]), 'not all self.tracks_to_plot_initially are in self.track_labels'
assert self.main_track_label in self.track_labels, 'self.main_track_label not in self.track_labels'
assert not any([' ' in l for l in self.track_labels]),'all self.track_labels should be one word, no spaces'
# make the main track label to always go first for plotting, otherwise errors will appear for other views, when the main view is not created yet
main_track_idx = np.argwhere([self.main_track_label == l for l in self.tracks_to_plot_initially])[0][0]
if not main_track_idx == 0:
tmp = self.tracks_to_plot_initially[0]
self.tracks_to_plot_initially[0] = self.main_track_label
self.tracks_to_plot_initially[main_track_idx] = tmp
l = [l.get_time()[-1] for l in self.tracks.values()]
x = np.reshape(l, (len(l), 1))
x = np.concatenate(x - x.transpose()) # all differences between track durations
if max(abs(x)) > 1:
Dialog().warningMessage('Some of the tracks differ in their duration more than {} seconds\r\n'.format(max(abs(x))) +
'You can continue working if this is expected.')
# assert max(abs(x)) < 0.5 # tracks should be the same duration (0.5 sec difference allowed), otherwise smth is wrong
pass
def zoomChanged(self):
try: # this is to avoid redrawing if it is already zoomed out to max
newRange = self.main_window.selectedView.renderer.vb.targetRange(
)[0]
viewRange = self.main_window.selectedView.renderer.vb.viewRange(
)[0]
# newRange = self.main_vb.viewRange()[0]
if newRange[-1] >= Database.get().get_longest_track_duration(
) and newRange[0] <= 0: # TODO what if offset not 0
if self.FLAG_full_zoom_out:
return
else:
self.FLAG_full_zoom_out = True
else:
self.FLAG_full_zoom_out = False
except:
pass
if self.main_vb.geometry():
try:
pixel_width = self.main_vb.viewPixelSize()[0]
self.main_vb.setLimits(xMin=-pixel_width)
for vb in self.vbs.values():
vb.setLimits(xMin=-pixel_width)
self.redraw_fiducials()
if self.display_panel is not None and len(
self.display_panel.panel.views) > 0:
self.setYRange()
EpochModeConfig.get().redraw_epochs()
except Exception as e:
Dialog().warningMessage(
'Exception occured\r\n'
'Using more than one frame may have caused this!\r\n' +
str(e))
def get(cls):
"""
method allows to get the only Database instance from anywhere in the code by running Database.get()
:return: object of one of the classes in this module
"""
if Database._instance is not None:
return Database._instance
else:
Dialog().warningMessage('Databse not initialized yet\r\n return None')
return None
def save(self, **kwargs):
# NB: save annotation data. By default annotations and partitions are saved as .h5 file.
# All tracks can be saved too (see Settings in the menu bar).
# One can also define custom save protocol here
# self.output_folder = self.fullpath.parent # to save in the same location
# self.output_folder = get_project_root() # to save in project root/near the executable
try:
self.output_folder = self.fullpath.parent
super().save(filename=self.fullpath.stem, **kwargs)
except Exception as e:
Dialog().warningMessage('Save crashed with: \r\n' + str(e))
def add_all(labels: List[str], start: np.ndarray, end: np.ndarray):
"""
batch adding partitions, e.g. from loaded annotations file
"""
try:
Partitions.delete_all()
assert len(labels) == start.size & start.size == end.size, 'Every loaded partition should have label, start and end'
for l, s, e in zip(labels, start, end):
SinglePartition(l, start=s, end=e)
except Exception as e:
Dialog().warningMessage('Partitions cannot be loaded\r\n' + str(e))
def set_annotation_data(self):
# NB: used to set initial guesses for annotations, otherwise, one has to start annotation from scratch
# one can use here simple findpeaks() type algos, or more signal-specific python algorithms
# also possible to run an algo beforehand (e.g. in Matlab), store the results and load them here
# NB: OPTIONAL!!! Load existing annotation if an .h5 file with the same name found in self.existing_annotation_folder (be careful with self.outputfile_prefix)
existing_annotation_file = pathlib.Path(
self.existing_annotations_folder, self.fullpath.stem + '.h5')
if self.annotation_exists(existing_annotation_file.stem):
try:
self.load(existing_annotation_file)
qInfo('Loading annotations from {}'.format(
existing_annotation_file))
except Exception as e:
Dialog().warningMessage(
'Loading annotations from {} failed\r\n'.format(
existing_annotation_file) + str(e))
else:
# NB: 1. Find\fetch preliminary annotation data
amp = self.tracks[self.main_track_label].value
mpd = self.tracks[self.main_track_label].fs * 2
idx_peak = detect_peaks(amp,
mph=np.median(amp),
mpd=mpd,
valley=False,
show=False,
kpsh=False)
idx_valley = detect_peaks(amp,
mph=np.median(amp),
mpd=mpd,
valley=True,
show=False,
kpsh=False)
idx_upstroke = detect_peaks(np.diff(amp),
mph=np.median(np.diff(amp)),
mpd=mpd,
valley=False,
show=False,
kpsh=False)
idx_downstroke = detect_peaks(np.diff(amp),
mph=np.median(np.diff(amp)),
mpd=mpd,
valley=True,
show=False,
kpsh=False)
# NB: 2. Use inherited functions to assign annotations to the main signal
# all annotation labels should be also in the provided AnnotationConfig file
# User can use _set_annotation_from_time or _set_annotation_from_idx
self._set_annotation_from_idx('peak', idx_peak)
self._set_annotation_from_idx('valley', idx_valley)
self._set_annotation_from_idx('upstroke', idx_upstroke)
self._set_annotation_from_idx('downstroke', idx_downstroke)
def to_csv(filename: str):
d = {'label': Partitions.all_labels(), 'start': Partitions.all_startpoints(), 'end': Partitions.all_endpoints()}
df = dict_to_df_with_nans(d)
try:
df.to_csv(filename + '.csv', index=False)
except OSError as e:
try:
xl = win32com.client.Dispatch("Excel.Application")
xl.Quit() # quit excel, as if user hit the close button/clicked file->exit.
# xl.ActiveWorkBook.Close() # close the active workbook
df.to_csv(filename + '.csv', index=False)
except Exception as e:
Dialog().warningMessage('Save crashed with:\r\n' + str(e))
def to_csv(filename: str):
data = EpochModeConfig.get()
try:
data.window_data.to_csv(filename + '.csv', index=False)
except OSError as e:
try:
xl = win32com.client.Dispatch("Excel.Application")
xl.Quit(
) # quit excel, as if user hit the close button/clicked file->exit.
# xl.ActiveWorkBook.Close() # close the active workbook
data.window_data.to_csv(filename + '.csv', index=False)
except Exception as e:
Dialog().warningMessage(
'Save of epoch mode annotations crashed with:\r\n' +
str(e))
def find_files(self):
if not os.path.isdir(self.db.DATAPATH):
Dialog().warningMessage(
'database path is incorrect. No files can be found.')
tmp = '**/*.' + self.db.filetype if self.db.file_template is None else self.db.file_template
for filename in Path(self.db.DATAPATH).glob(tmp):
item = QtWidgets.QListWidgetItem()
item.setFont(QtGui.QFont('Arial', 16))
item.setText(filename.as_posix().replace(
self.db.DATAPATH.as_posix() + '/', ''))
if self.db.annotation_exists(pathlib.Path(item.text()).stem):
item.setForeground(QtGui.QColor(QtCore.Qt.darkBlue))
item.setBackground(QtGui.QColor(QtCore.Qt.lightGray))
else:
item.setForeground(QtGui.QColor(QtCore.Qt.blue))
self.listWidget_files.addItem(item)
self.listWidget_files.setMinimumWidth(
self.listWidget_files.sizeHintForColumn(0))
if self.listWidget_files.count() > 0:
self.listWidget_files.setCurrentRow(0)
self.listWidget_files.setFocus()
def split_pinned_to(self):
try:
from gui.viewer import PALMS
if self.pinned_to in PALMS.config['pinned_to_options']:
self.pinned_to = self.pinned_to + ' ' + Database.get().main_track_label
pinned_to_split = self.pinned_to.split()
# TODO: make it more generic and foolproof, now it is assumed that pinned_to consists of two words: peak\valley + track_label
assert_text = '{} pinned_to setting must consist of two words:\r\n' \
'"peak" or "valley" + track_label from the database;\r\n' \
'Current pinned_to value is {}\r\n' \
'Check your AnnotationConfig file {} and run the tool again'.format(self.name, self.pinned_to,
Database.get().annotation_config_file.stem)
assert len(pinned_to_split) == 2, assert_text
assert pinned_to_split[0] in PALMS.config['pinned_to_options'], assert_text
self.pinned_to_location = pinned_to_split[0]
self.pinned_to_track_label = pinned_to_split[1]
except Exception as e:
from utils.utils_gui import Dialog
Dialog().warningMessage('Error in split_pinned_to():\r\n' + str(e))
raise ValueError
def load_annotation_config_from_csv(self, fileName=None):
fn = fileName or self.fileName
if not fn:
fn, _ = QtWidgets.QFileDialog.getOpenFileName(self, "Load AnnotationConfig", get_project_root().as_posix(),
" (*.csv);; All Files (*)", options=QtWidgets.QFileDialog.Options())
if fn:
from gui import PALMS
with open(fn, "r") as csv:
settings_init = pd.read_csv(csv)
fiducials = []
for _, row_data in settings_init.iterrows():
try:
assert all([k in row_data for k in PALMS.config['annotationConfig_columns']])
except:
Dialog().warningMessage('Columns in chosen {file} file do not match aConfColumns from config.py. Try again! '
''.format(file=fn))
return
fiducials.append(SingleFiducialConfig(row_data))
aConf = AnnotationConfig.get()
aConf.reset_fiducials_config(fiducials)
self.show()
def initialize_epoch_mode_settings_from_csv(csv):
if csv is None:
EpochModeConfig()
qInfo(
'Epoch mode init settings not given. Starting with default values'
)
try:
csv_data = pd.read_csv(csv)
winLen = int(csv_data.winLen.values[0])
labels = list(csv_data.labels.values)
description = list(csv_data.description.values)
try:
if not all(isinstance(elem, str) for elem in description):
description = labels
except Exception as e:
description = labels
keys = list(csv_data['keys'].values)
for i, k in enumerate(keys):
if isinstance(k, (int, np.integer)):
keys[i] = str(k)
default_label = csv_data.default_label.values[0]
if not isinstance(default_label, str) and np.isnan(default_label):
default_label = None
EpochModeConfig(winLen=winLen,
labels=labels,
keys=keys,
default_label=default_label,
description=description)
except Exception as e:
Dialog().warningMessage(
'Epoch mode settings processing failed with\r\n' + str(e) +
'\r\nInitializing with defaults')
EpochModeConfig()
def onclick_find(self):
Dialog().warningMessage('Custom file choice not implemented')
def save(self, **kwargs):
# TODO: popup warning when rewriting existing files
try:
from gui.viewer import Viewer
filename = kwargs.get('filename', self.fullpath.stem)
try:
filename = self.outputfile_prefix + filename
except Exception as e:
qInfo('Output file prefix could not be added')
fullpath = pathlib.Path(self.output_folder, filename + '.h5')
OVERWRITE = kwargs.get('OVERWRITE', Viewer.get().settings_menu.save_overwrite_action.isChecked())
if fullpath.is_file(): # don't overwrite files
if not OVERWRITE:
path, filename = os.path.split(fullpath)
filename = os.path.splitext(filename)[0]
newfilename = filename + '_' + strftime("%Y_%m_%d_%H_%M_%S", gmtime()) + fullpath.suffix
fullpath = pathlib.Path(path, newfilename)
qInfo('Existing file found. Not overwriting')
else:
qInfo('Existing file OVERWRITTEN!')
from logic.operation_mode.annotation import AnnotationConfig
aConf = AnnotationConfig.get()
hf = h5py.File(fullpath, 'w')
group_annotations = hf.create_group('annotations')
for f_idx, f in enumerate(aConf.fiducials):
group_annotations.create_group(f.name)
group_annotations.create_dataset(f.name + '/ts', data=f.annotation.x)
group_annotations.create_dataset(f.name + '/idx', data=f.annotation.idx)
group_annotations.create_dataset(f.name + '/amp', data=f.annotation.y)
group_partitions = hf.create_group('partitions')
asciiList = [n.encode("ascii", "ignore") for n in Partitions.all_labels()]
group_partitions.create_dataset('label', data=asciiList)
group_partitions.create_dataset('start', data=Partitions.all_startpoints())
group_partitions.create_dataset('end', data=Partitions.all_endpoints())
group_epoch = hf.create_group('epoch')
group_epoch.create_dataset('start', data=EpochModeConfig.get().window_data['start'].values)
group_epoch.create_dataset('end', data=EpochModeConfig.get().window_data['end'].values)
group_epoch.create_dataset('is_modified', data=EpochModeConfig.get().window_data['is_modified'].values)
asciiList = [n.encode("ascii", "ignore") for n in EpochModeConfig.get().window_data['label'].values]
group_epoch.create_dataset('label', data=asciiList)
asciiList = [n.encode("ascii", "ignore") for n in EpochModeConfig.get().keys]
group_epoch.create_dataset('keys', data=asciiList)
asciiList = [n.encode("ascii", "ignore") for n in EpochModeConfig.get().labels]
group_epoch.create_dataset('all_labels', data=asciiList)
asciiList = [n.encode("ascii", "ignore") for n in EpochModeConfig.get().description]
group_epoch.create_dataset('description', data=asciiList)
dt = h5py.special_dtype(vlen=str)
group_epoch.create_dataset('default_label', (1,), dtype=dt)
group_epoch['default_label'][:] = EpochModeConfig.get().default_label
group_epoch.create_dataset('NONE_LABEL', (1,), dtype=dt)
group_epoch['NONE_LABEL'][:] = EpochModeConfig.get().NONE_LABEL
group_meta = hf.create_group('meta')
dt = h5py.special_dtype(vlen=str)
group_meta.create_dataset('timestamp', (1,), dtype=dt)
group_meta['timestamp'][:] = strftime("%Y_%m_%d_%H_%M_%S", gmtime())
group_meta.create_dataset('filename', (1,), dtype=dt)
group_meta['filename'][:] = self.fullpath.stem
group_meta.create_dataset('filepath', (1,), dtype=dt)
group_meta['filepath'][:] = self.fullpath.parent.as_posix()
group_meta.create_dataset('main_track_label', (1,), dtype=dt)
group_meta['main_track_label'][:] = self.main_track_label
if Viewer.get().settings_menu.save_tracks_action.isChecked():
group_tracks = hf.create_group('tracks')
for label, track in Database.get().tracks.items():
group_tracks.create_dataset(label + '/ts', data=track.ts)
group_tracks.create_dataset(label + '/amp', data=track.value)
group_tracks.create_dataset(label + '/offset', data=track.offset)
group_tracks.create_dataset(label + '/fs', data=track.fs)
hf.close()
qInfo('{} saved'.format(fullpath.as_posix()))
except Exception as e:
try:
hf.close()
except:
pass
self._save_as_csv(filename=self.fullpath.stem, save_idx=False)
Dialog().warningMessage('Default save crashed\r\n' +
e.__repr__() +
'\r\nSaved using deprecated method, as CSV files.')
def viewPopup(self, point):
if isinstance(self.sender(), QtWidgets.QHeaderView):
row = self.sender().logicalIndexAt(point)
elif isinstance(self.sender(), QtWidgets.QLabel):
row = self.rowFromWidget(self.sender())
else:
logging.error(f'do not know how to handle getting index of ',
f'{self.sender()} object')
self.main_window.application.viewer.status(
f'do not know how to handle getting index of ',
f'{self.sender()} object')
raise TypeError
view = self.panel.views[row]
menu = QtWidgets.QMenu(self.verticalHeader())
menu.clear()
move_menu = menu.addMenu('&Move View')
link_menu = menu.addMenu("&Link Track")
copy_menu = menu.addMenu("Copy View")
derive_menu = menu.addMenu("Add derived tracks")
linkAction = QtWidgets.QAction('Create Link in this Panel', self)
linkAction.triggered.connect(
partial(self.display_panel.linkTrack, view,
self.main_window.model.panels.index(self.panel)))
link_menu.addAction(linkAction)
link_menu.addSeparator()
link_menu.setEnabled(False)
copyAction = QtWidgets.QAction("Duplicate View in this Panel", self)
copyAction.triggered.connect(
partial(self.display_panel.copyView, view,
self.main_window.model.panels.index(self.panel)))
copy_menu.addAction(copyAction)
copy_menu.addSeparator()
copy_menu.setEnabled(False)
addDerivativeAction = QtWidgets.QAction('1st derivative', self)
addDerivativeAction.triggered.connect(
partial(self.display_panel.addDerivative, view,
self.main_window.model.panels.index(self.panel), 1))
# TODO: derivative filters GUI
derive_menu.addAction(addDerivativeAction)
addDerivativeAction = QtWidgets.QAction('2nd derivative', self)
addDerivativeAction.triggered.connect(
partial(self.display_panel.addDerivative, view,
self.main_window.model.panels.index(self.panel), 2))
derive_menu.addAction(addDerivativeAction)
menu.addSeparator()
try:
addRRintervalMenu = menu.addMenu('RR-intevals')
from logic.operation_mode.annotation import AnnotationConfig
RRintervalMenu_actions = []
for f in AnnotationConfig.all_fiducials():
f_idx = AnnotationConfig.get().find_idx_by_name(f)
if AnnotationConfig.get(
).fiducials[f_idx].annotation.x.size > 2:
action = QtWidgets.QAction(f,
self,
checkable=False,
enabled=True)
action.triggered.connect(
partial(
self.main_window.application.add_view_from_track,
AnnotationConfig.get().fiducials[f_idx].annotation.
create_RRinterval_track(),
self.main_window.model.panels.index(self.panel)))
RRintervalMenu_actions.append(action)
addRRintervalMenu.addAction(action)
except Exception as e:
Dialog().warningMessage('Creating RR interval plot failed\r\n'
'The error was:\r\n' + str(e))
# TODO: load another track
# TODO: move existing view
db = Database.get()
add_menu = menu.addMenu("Add tracks from DB")
add_menu.setEnabled(False)
if db is not None and db.ntracks() > 0:
add_menu.setEnabled(True)
for label, track in db.tracks.items():
plot_signal_action = QtWidgets.QAction(label, self)
plot_signal_action.triggered.connect(
partial(self.main_window.application.add_view_from_track,
track,
self.main_window.model.panels.index(self.panel)))
add_menu.addAction(plot_signal_action)
if label not in self.allViewsTrackLabels():
plot_signal_action.setEnabled(True)
else:
plot_signal_action.setEnabled(False)
menu.addSeparator()
process_action = QtWidgets.QAction('Processor Config', self)
process_action.triggered.connect(
partial(self.main_window.application.viewer.processorConfig.show,
self.selectedView()))
menu.addAction(process_action)
process_action.setEnabled(False)
menu.addSeparator()
invertAction = QtWidgets.QAction('&Invert Track', self)
invertAction.triggered.connect(self.main_window.invertView)
invertAction.setEnabled(False)
menu.addAction(invertAction)
menu.addSeparator()
deleteAction = QtWidgets.QAction('&Delete Track', self)
deleteAction.triggered.connect(self.main_window.guiDelView)
menu.addAction(deleteAction)
for index, panel in enumerate(self.main_window.model.panels):
if panel is self.panel:
continue
linkAction = QtWidgets.QAction(f'Link to Panel {index + 1}', self)
linkAction.triggered.connect(
partial(self.display_panel.linkTrack, view, index))
link_menu.addAction(linkAction)
moveAction = QtWidgets.QAction(f'Move To Panel {index + 1}', self)
moveAction.triggered.connect(
partial(self.display_panel.moveView, view, index))
move_menu.addAction(moveAction)
copyAction = QtWidgets.QAction(f'Copy to Panel {index + 1}', self)
copyAction.triggered.connect(
partial(self.display_panel.copyView, view, index))
copy_menu.addAction(copyAction)
moveAction = QtWidgets.QAction(f'Move to New Panel', self)
moveAction.triggered.connect(
partial(self.display_panel.moveView, view, -1))
linkAction = QtWidgets.QAction(f'Link to New Panel', self)
linkAction.triggered.connect(
partial(self.display_panel.linkTrack, view, -1))
copyAction = QtWidgets.QAction(f'Copy to New Panel', self)
copyAction.triggered.connect(
partial(self.display_panel.copyView, view, -1))
move_menu.addSeparator()
link_menu.addSeparator()
copy_menu.addSeparator()
move_menu.addAction(moveAction)
link_menu.addAction(linkAction)
copy_menu.addAction(copyAction)
menu.popup(QtGui.QCursor.pos())
def mousePressEvent(self, event: QtGui.QMouseEvent):
"""
The following only has effect if the main track is selected in the track table view on the right
Annotation mode:
**LeftMouseButton** places a new fiducial. By default it is the first fiducial as set in the annotationConfig,
unless before that a keyboard button was pressed corresponding to another fiducial or "sticky fiducial" mode is on.
**RightMouseButton** removes the nearest fiducial (default), unless "sticky fiducial" mode is on. Keyboard has no effect
Partition mode:
**CTRL + LeftMouseButton** creates a new partition which takes 2% of the whole track duration or less to avoid overlapping
partiotions;
**CTRL + RightMouseButton** removes partition under the click
**SHIFT + LeftMouseButton** to drag partition borders or move the partition. Repositioning is possible within the limits of
neighboring partition. Moving the partition fully inside another one or reducing its size to 1 sample deletes the partition.
#NOTE: creating partition of desired size directly by click and drag might not be that convenient and harder to implement
Epoch mode:
# NB: when adding\removing mouse click operations also adapt self.mouseReleaseEvent() and self.mouseMoveEvent()
"""
def which_fiducial_to_add(last_keypress_event_key):
from gui.viewer import Viewer
# first check if 'sticky' fiducial option is enabled for one of the fiducials
sticky_fiducial = [
item.isChecked() for item in
Viewer.get().annotation_menu.sticky_fiducial_menu.actions()
]
if any(sticky_fiducial):
idx = np.argwhere(sticky_fiducial)[0]
return AnnotationConfig.get().find_idx_by_name(
Viewer.get().annotation_menu.sticky_fiducial_menu.actions(
)[idx[0]].text())
# if 'sticky' fiducial option is off, check what key was pressed the last
default_fiducial_idx = 0 # default: first fiducial
if last_keypress_event_key is not None:
qInfo('Last pressed: ' + str(last_keypress_event_key[1]))
for fiducial_idx, f in enumerate(
AnnotationConfig.get().fiducials):
if f.key.lower() == last_keypress_event_key[1].lower():
return fiducial_idx
return default_fiducial_idx
else:
return default_fiducial_idx
def which_fiducial_to_delete(click_x):
from gui.viewer import Viewer
# first check if 'sticky' fiducial option is enabled for one of the fiducials
sticky_fiducial = [
item.isChecked() for item in
Viewer.get().annotation_menu.sticky_fiducial_menu.actions()
]
if any(sticky_fiducial):
idx = np.argwhere(sticky_fiducial)[0]
return AnnotationConfig.get().find_idx_by_name(
Viewer.get().annotation_menu.sticky_fiducial_menu.actions(
)[idx[0]].text())
dist = np.inf
fiducial_name, fiducial_idx = None, None
for f_idx, f in enumerate(AnnotationConfig.get().fiducials):
if f.annotation.x.size > 0:
closest_idx, _, _ = find_closest(f.annotation.x,
np.array([click_x]))
dist_new = abs(click_x - f.annotation.x[closest_idx])
if dist_new < dist:
dist = dist_new
fiducial_name, fiducial_idx = f.name, f_idx
if not dist == np.inf:
return fiducial_idx
try:
from gui.viewer import Viewer
Viewer.get().selectFrame(self.display_panel.parent(
)) # first select the frame where the click was made
if Mode.is_epoch_mode():
EpochModeConfig.get().process_mouseclick(event)
return
vb = self.vbs[self.selected_view()]
click_x = vb.mapSceneToView(event.pos()).x()
if self.selected_view().track.label is Database.get(
).main_track_label: # TODO: do this check properly and uniformly everywhere
if Mode.is_annotation_mode():
if AnnotationConfig.get().is_valid():
if event.button(
) == QtCore.Qt.LeftButton: # Left click to mark
fiducial_idx = which_fiducial_to_add(
self.last_keypress_event_key)
AnnotationConfig.get().fiducials[
fiducial_idx].annotation.signal_annotate.emit(
click_x)
elif event.button(
) == pg.QtCore.Qt.RightButton: # right click to delete
fiducial_idx = which_fiducial_to_delete(click_x)
if fiducial_idx is not None:
AnnotationConfig.get().fiducials[
fiducial_idx].annotation.signal_delete_annotation.emit(
click_x)
else:
qInfo('No annotation found to be deleted')
self.last_keypress_event_key = None # need to press extra key every time to annotate secondary fiducial
elif Mode.is_partition_mode():
if event.button() == QtCore.Qt.LeftButton:
if event.modifiers() == QtCore.Qt.ControlModifier:
self.create_new_partition(event)
else:
super().mousePressEvent(event)
qInfo(
'CTRL+Left: create region; SHIFT+Left: move region'
) # event.accept()
elif event.button() == QtCore.Qt.RightButton:
if event.modifiers() == QtCore.Qt.ControlModifier:
p = Partitions.find_partition_by_point(click_x)
if p is not None:
p.region_deleted() # event.accept()
elif event.modifiers() == QtCore.Qt.ShiftModifier:
p = Partitions.find_partition_by_point(click_x)
if p is not None:
self.partition_context_menu(event)
else:
qInfo(
'No partition found...CTRL+Right: delete region; SHIFT+Right: region context menu'
)
else:
super().mousePressEvent(event)
qInfo(
'CTRL+Right: delete region; SHIFT+Right: region context menu'
)
else:
super().mousePressEvent(event)
elif Mode.mode == Modes.browse:
super().mousePressEvent(event)
else:
if not self.is_main_view_in_current_panel(
): # click on a panel, without the main track
Dialog().warningMessage(
'Selected display panel does not contain the main track ({}).\r\n'
.format(Database.get().main_track_label) +
'Try clicking on another display panel')
else: # click on a correct panel, but the main track is not selected
Dialog().warningMessage(
'Selected signal is not the main one.\r\n'
'Click on the '
'{}'
' track in the control area on the right.'.format(
Database.get().main_track_label))
return
except Exception as e:
Dialog().warningMessage('Mouse click processing failed\r\n'
'What unusual did you do?\r\n' + str(e))
return
def save(self, **kwargs):
try:
super().save(filename=self.fullpath.stem)
except Exception as e:
Dialog().warningMessage('Save crashed with: \r\n' + str(e),
**kwargs)