def create_categorical_slice_session(dataset_name: str):
dataset = backend.get_dataset(dataset_name)
if dataset is None:
abort(400)
current_sessions = sessions.get_sessions(db.session, dataset)
label_session_count = len(current_sessions)
form = CreateCategoricalSliceSessionForm(meta={'csrf': False})
comparison_sessions = sessions.get_sessions(db.session, dataset, LabelSessionType.COMPARISON_SLICE)
for sess in comparison_sessions:
form.comparisons.choices.append((str(sess.id), sess.session_name))
if form.validate_on_submit():
if form.session_name.data in [se.session_name for se in current_sessions]:
form.session_name.errors.append('Session name already in use.')
else:
label_values = [v.strip() for v in form.label_values.data.split(',')]
from_session = sessions.get_session_by_id(db.session, int(form.comparisons.data))
slices = sampling.get_slices_from_session(from_session)
sessions.create_categorical_slice_session(db.session, form.session_name.data, form.prompt.data,
dataset, label_values, slices)
return redirect(url_for('dataset_overview', dataset_name=dataset.name))
return render_template('create_categorical_slice_session.html',
dataset=dataset,
label_session_count=label_session_count,
form=form)
def test_create_categorical_slice_session_metadata(self):
dataset = backend.get_dataset('dataset1')
sessions.create_categorical_slice_session(db.session, 'session1',
'test_prompt', dataset,
['l1', 'l2', 'l3'], [])
label_session = sessions.get_session_by_id(db.session, 1)
self.assertEqual(label_session.session_name, 'session1')
self.assertEqual(label_session.session_type,
LabelSessionType.CATEGORICAL_SLICE.name)
self.assertEqual(label_session.prompt, 'test_prompt')
self.assertEqual(label_session.dataset, 'dataset1')
self.assertEqual(label_session.label_values_str, 'l1,l2,l3')
def test_get_slices_from_session_categorical_slice(self):
dataset = backend.get_dataset('dataset1')
slices = [
ImageSlice('img1.nii.gz', 0, SliceType.SAGITTAL),
ImageSlice('img1.nii.gz', 100, SliceType.SAGITTAL),
ImageSlice('img2.nii', 1, SliceType.CORONAL),
ImageSlice('img3', 255, SliceType.AXIAL)
]
sessions.create_categorical_slice_session(db.session, 'session1', 'prompt', dataset, ['l1', 'l2', 'l3'], slices)
label_session = sessions.get_session_by_id(db.session, 1)
check_slices = sampling.get_slices_from_session(label_session)
self.assertEqual(check_slices, slices)
def test_create_categorical_slice_session_elements_length(self):
dataset = backend.get_dataset('dataset1')
slices = [
ImageSlice('img1.nii.gz', 0, SliceType.SAGITTAL),
ImageSlice('img1.nii.gz', 100, SliceType.SAGITTAL),
ImageSlice('img2.nii', 1, SliceType.CORONAL),
ImageSlice('img3', 255, SliceType.AXIAL)
]
sessions.create_categorical_slice_session(db.session, 'session1',
'test_prompt', dataset,
['l1', 'l2', 'l3'], slices)
label_session = sessions.get_session_by_id(db.session, 1)
session_elements = label_session.elements
session_element_count = len(session_elements)
self.assertEqual(session_element_count, 4)
def test_get_sessions_by_type_length(self):
dataset = backend.get_dataset('dataset1')
sessions.create_categorical_image_session(db.session, 'session1',
'prompt', dataset,
['l1', 'l2', 'l3'])
sessions.create_categorical_image_session(db.session, 'session2',
'prompt', dataset,
['l1', 'l2', 'l3'])
sessions.create_categorical_slice_session(db.session, 'session3',
'prompt', dataset,
['l1', 'l2', 'l3'], [])
sessions.create_categorical_slice_session(db.session, 'session4',
'prompt', dataset,
['l1', 'l2', 'l3'], [])
sessions.create_comparison_slice_session(db.session, 'session5',
'prompt', dataset,
['l1', 'l2'], [])
sessions.create_categorical_image_session(db.session, 'session6',
'prompt', dataset,
['l1', 'l2', 'l3'])
sessions.create_categorical_image_session(db.session, 'session7',
'prompt', dataset,
['l1', 'l2', 'l3'])
categorical_image_sessions = sessions.get_sessions(
db.session, dataset, LabelSessionType.CATEGORICAL_IMAGE)
categorical_image_session_count = len(categorical_image_sessions)
categorical_slice_sessions = sessions.get_sessions(
db.session, dataset, LabelSessionType.CATEGORICAL_SLICE)
categorical_slice_session_count = len(categorical_slice_sessions)
comparison_slice_sessions = sessions.get_sessions(
db.session, dataset, LabelSessionType.COMPARISON_SLICE)
comparison_slice_session_count = len(comparison_slice_sessions)
self.assertEqual(categorical_image_session_count, 4)
self.assertEqual(categorical_slice_session_count, 2)
self.assertEqual(comparison_slice_session_count, 1)
def test_create_categorical_slice_session_elements_metadata(self):
dataset = backend.get_dataset('dataset1')
slices = [
ImageSlice('img1.nii.gz', 0, SliceType.SAGITTAL),
ImageSlice('img1.nii.gz', 100, SliceType.SAGITTAL),
ImageSlice('img2.nii', 1, SliceType.CORONAL),
ImageSlice('img3', 255, SliceType.AXIAL)
]
sessions.create_categorical_slice_session(db.session, 'session1',
'test_prompt', dataset,
['l1', 'l2', 'l3'], slices)
label_session = sessions.get_session_by_id(db.session, 1)
session_elements = label_session.elements
self.assertEqual(session_elements[0].element_index, 0)
self.assertEqual(session_elements[1].element_index, 1)
self.assertEqual(session_elements[2].element_index, 2)
self.assertEqual(session_elements[3].element_index, 3)
self.assertEqual(session_elements[0].image_1_name, 'img1.nii.gz')
self.assertEqual(session_elements[1].image_1_name, 'img1.nii.gz')
self.assertEqual(session_elements[2].image_1_name, 'img2.nii')
self.assertEqual(session_elements[3].image_1_name, 'img3')
self.assertEqual(session_elements[0].slice_1_type,
SliceType.SAGITTAL.name)
self.assertEqual(session_elements[1].slice_1_type,
SliceType.SAGITTAL.name)
self.assertEqual(session_elements[2].slice_1_type,
SliceType.CORONAL.name)
self.assertEqual(session_elements[3].slice_1_type,
SliceType.AXIAL.name)
self.assertEqual(session_elements[0].slice_1_index, 0)
self.assertEqual(session_elements[1].slice_1_index, 100)
self.assertEqual(session_elements[2].slice_1_index, 1)
self.assertEqual(session_elements[3].slice_1_index, 255)