def test_get_similar_images(self):
collection1 = Collection(name='Collection1',
owner=self.u1,
DOI='10.3389/fninf.2015.00099')
collection1.save()
collection2 = Collection(name='Collection2',
owner=self.u1,
DOI='10.3389/fninf.2015.00089')
collection2.save()
app_path = os.path.abspath(os.path.dirname(__file__))
image1 = save_statmap_form(image_path=os.path.join(
app_path, 'test_data/statmaps/all.nii.gz'),
collection=collection1,
image_name="image1")
image2 = save_statmap_form(image_path=os.path.join(
app_path, 'test_data/statmaps/all.nii.gz'),
collection=collection2,
image_name="image2")
similar_images = get_similar_images(int(image1.pk))
print "Success for this test means the pandas DataFrame shows the copy in first position with score of 1"
self.assertEqual(similar_images['image_id'][0], int(image2.pk))
self.assertEqual(similar_images['score'][0], 1)
def handle(self, *args, **options):
down_data()
clearDB()
User.objects.all().delete()
app_path = '/code/neurovault/apps/statmaps/tests/bench'
u1 = User.objects.create(username='******')
num_files = len(os.listdir(os.path.join(app_path, 'images/')))
index_table = np.zeros(num_files)
query_table = np.zeros(num_files)
for i, file in enumerate(os.listdir(os.path.join(app_path, 'images/'))):
#print 'Adding subject ' + file
randomCollection = Collection(name='random' + file, owner=u1, DOI='10.3389/fninf.2015.00008' + str(i))
randomCollection.save()
t = Timer()
with t:
image = save_statmap_form(
image_path=os.path.join(app_path, 'images/', file),
collection=randomCollection,
image_name=file,
ignore_file_warning=True)
index_table[i] = t.interval
np.savetxt(os.path.join(app_path, 'results_index'+ str(datetime.datetime.utcnow())[:10] + '.csv'),
index_table, delimiter=",")
t = Timer()
with t:
_dummy = get_similar_images(int(image.pk))
query_table[i] = t.interval
np.savetxt(os.path.join(app_path, 'results_query' + str(datetime.datetime.utcnow())[:10] + '.csv'),
query_table, delimiter=",")
def test_get_similar_images(self):
collection1 = Collection(name='Collection1', owner=self.u1,
DOI='10.3389/fninf.2015.00099')
collection1.save()
collection2 = Collection(name='Collection2', owner=self.u1,
DOI='10.3389/fninf.2015.00089')
collection2.save()
app_path = os.path.abspath(os.path.dirname(__file__))
image1 = save_statmap_form(image_path=os.path.join(app_path, 'test_data/statmaps/all.nii.gz'),
collection=collection1,
image_name="image1")
image2 = save_statmap_form(image_path=os.path.join(app_path, 'test_data/statmaps/all.nii.gz'),
collection=collection2,
image_name="image2")
similar_images = get_similar_images(int(image1.pk))
print "Success for this test means the pandas DataFrame shows the copy in first position with score of 1"
self.assertEqual(similar_images['image_id'][0], int(image2.pk))
self.assertEqual(similar_images['score'][0], 1)