def test(self):
truncateTable('outgoing_autonomous')
dao = OutgoingAutonomousDAO(defaultConfigPath())
testIns = outgoing_autonomous()
testIns.crop_id = 42
testIns.shape = 'circle'
testIns.background_color = 'white'
testIns.alphanumeric = 'A'
testIns.alphanumeric_color = 'black'
resultingId = dao.addClassification(testIns)
self.assertNotEqual(resultingId, -1)
# should not be able to insert a duplicate record
self.assertEqual(dao.addClassification(testIns), -1)
self.assertIsNotNone(dao.getClassification(resultingId))
def test(self):
truncateTable('outgoing_autonomous')
dao = OutgoingAutonomousDAO(defaultConfigPath())
# empty table
self.assertIsNone(dao.getUnlocatedClassifications())
# populate with two classifications that need geo, one that doesnt
testIns = outgoing_manual()
testIns.crop_id = 42
testIns.shape = 'circle'
testIns.background_color = 'white'
testIns.alphanumeric = 'A'
testIns.alphanumeric_color = 'black'
resultingId = dao.addClassification(testIns)
self.assertNotEqual(resultingId, -1)
testIns.crop_id = 43
testIns.background_color = 'orange'
resultingId2 = dao.addClassification(testIns)
self.assertNotEqual(resultingId2, -1)
testIns.crop_id = 44
testIns.latitude = 40.111
testIns.longitude = -111.222
resultingId3 = dao.addClassification(testIns)
self.assertNotEqual(resultingId3, -1)
unlocated = dao.getUnlocatedClassifications()
self.assertIsNotNone(unlocated)
self.assertEqual(len(unlocated), 2)
# the two models in the list should be our first two inserts and have
# crop ids 42 and 43
self.assertLess(unlocated[0].crop_id, 44)
self.assertLess(unlocated[1].crop_id, 44)
def test(self):
truncateTable('incoming_image')
truncateTable('cropped_autonomous')
truncateTable('outgoing_autonomous')
dao = OutgoingAutonomousDAO(defaultConfigPath())
testIns = outgoing_autonomous()
testIns.crop_id = 42
testIns.shape = 'circle'
testIns.background_color = 'white'
testIns.alphanumeric = 'A'
testIns.alphanumeric_color = 'black'
self.assertNotEqual(dao.addClassification(testIns), -1)
dao = CroppedAutonomousDAO(defaultConfigPath())
model = cropped_autonomous()
model.image_id = 123
model.time_stamp = 1547453775.2
model.cropped_path = '/im/a/totally/real/cropped/path/i/swear.jpg'
model.crop_coordinate_br = "(12, 34)"
model.crop_coordinate_tl = "(56, 78)"
self.assertNotEqual(dao.addImage(model), -1)
dao = IncomingImageDAO(defaultConfigPath())
model = incoming_image()
model.time_stamp = 1547453775.2
model.focal_length = 16.0
model.image_path = '/im/a/totally/real/path/i/swear.jpg'
model.manual_tap = True
model.autonomous_tap = True
resultingId = dao.addImage(model)
self.assertNotEqual(resultingId, -1)
util = UtilDAO(defaultConfigPath())
util.resetAutonomousDB()
resultingModel = dao.getImage(resultingId)
self.assertIsNotNone(resultingModel)
self.assertFalse(resultingModel.autonomous_tap)
self.assertTrue(resultingModel.manual_tap)
self.assertEqual(resultingModel.image_path, model.image_path)
self.assertEqual(resultingModel.focal_length, model.focal_length)
dao = CroppedAutonomousDAO(defaultConfigPath())
self.assertEqual(len(dao.getAll()), 0)
dao = OutgoingAutonomousDAO(defaultConfigPath())
self.assertEqual(len(dao.getAll()), 0)