def initialize_environment() -> bool:
try:
return CacheRedisAdapter.initialize()
except Exception as ex:
logger.error(
'initialize_environment test_method Exception: {}'.format(ex))
return False
def initialize_catalog() -> bool:
try:
CacheRedisAdapter.initialize()
CacheRedisAdapter.dictionary_create(
label_info=UtilityCatalogCached.LABEL_DICTIONARY_TOPICS)
CacheRedisAdapter.dictionary_create(
label_info=UtilityCatalogCached.
LABEL_DICTIONARY_DEVICE_REGISTRATION)
UtilityCatalogCached.configure_catalog_observable_backup(
[LabelObservationType.LABEL_OBSTYPE_LOCALIZATION])
return True
except Exception as ex:
logger.error('initialize_catalog Exception: {}'.format(ex))
return False
def test_method_queue_detection() -> bool:
try:
CacheRedisAdapter.initialize()
logger.info('test_method_queue_detection Started')
crowd_density_local = CrowdDensityLocalObservation()
crowd_density_local.density_map = UnitTestQueueDetection.get_densitymap(
)
camera_registration = CameraRegistration(
ground_plane_position=Point(x=12.56539, y=55.67474, srid=4326),
ground_plane_orientation=30)
logger.info('test_method_queue_detection Third Step')
dictionary_regions = QueueDetectionAlgorithm.find_queueshape_areas(
density_map=crowd_density_local.density_map, min_cell_count=3)
count_queueshapearea_saved = 0
logger.info('test_method_queue_detection Fourth Step')
for mean_people in dictionary_regions.keys():
logger.info(
'test_method_queue_detection mean count queue: {}'.format(
mean_people))
group_region = dictionary_regions[mean_people]
if not group_region or group_region.empty():
logger.info(
'test_method_queue_detection group_region empty')
continue
logger.info(
'test_method_queue_detection group_region count: {}'.
format(len(group_region)))
for region in group_region.get_listregions():
if not region:
continue
logger.info(
'test_method_queue_detection single queue detection creation...'
)
single_queue_detection = QueueDetectionAlert()
single_queue_detection.qsma_id = "QSA_ID{0:02d}_Mean{1:03d}".format(
count_queueshapearea_saved, mean_people)
single_queue_detection.initialize_status()
logger.info(
'test_method_queue_detection single queue detection created'
)
single_queue_detection.set_region_queue(
region_queue=region,
camera_registration=camera_registration)
single_queue_detection.mean_people = mean_people
single_queue_detection.set_timestamp(
timestamp=datetime.datetime.now(tz=pytz.utc))
logger.info(
'test_method_queue_detection Try Saving SingleQueueDetection'
)
single_queue_detection.save()
logger.info(
'test_method_queue_detection saved single_queue_detection: {}'
.format(single_queue_detection.qda_id))
count_queueshapearea_saved += 1
json_test = single_queue_detection.to_dictionary()
json_test1 = single_queue_detection.to_ogc_dictionary()
string_test = single_queue_detection.to_string()
CacheRedisAdapter.set_cache_info(
label_info='DATATESTSAVED', data=json_test1)
json_test_2 = CacheRedisAdapter.get_cached_info(
label_info='DATATESTSAVED', type_data=dict)
logger.info('Cached JSON: {}'.format(json_test1))
logger.info('Read JSON From Cache: {}'.format(json_test_2))
queue_detection_db = UtilityDatabase.get_outputmessage_byid(
id=single_queue_detection.qda_id,
outputmessagetype=OutputMessageType.
OUTPUT_MESSAGE_TYPE_QUEUEDETECTIONALERT)
json_test_db = queue_detection_db.to_dictionary()
string_test_db = queue_detection_db.to_string()
if UnitTestQueueDetection.compare_dictionaries(
dict_a=json_test, dict_b=json_test_db):
logger.info(
'Comparison JSON From hardcoded to DB extracted QueueDetectionAlert info are equals'
)
else:
logger.info(
'Comparison JSON From hardcoded to DB extracted QueueDetectionAlert are not equals'
)
logger.info('String Hardcoded: {}'.format(string_test))
logger.info(
'String DB Extracted: {}'.format(string_test_db))
logger.info(
'test_method_queue_detection saved correctly {} QueueDetectionAlert'
.format(count_queueshapearea_saved))
return True
except Exception as ex:
logger.error(
'UnitTestQueueDetection test_method_queue_detection test_method Exception: {}'
.format(ex))
return False