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