def test_close_time_only(self):
dycast_parameters = test_helper_functions.get_dycast_parameters()
risk_service = risk_service_module.RiskService(dycast_parameters)
comparative_test_service = comparative_test_service_module.ComparativeTestService(dycast_parameters)
session = database_service.get_sqlalchemy_session()
riskdate = datetime.date(int(2016), int(3), int(25))
gridpoints = geography_service.generate_grid(dycast_parameters)
clusters_per_point_query = risk_service.get_clusters_per_point_query(session, gridpoints, riskdate)
clusters_per_point = risk_service.get_clusters_per_point_from_query(clusters_per_point_query)
risk_service.enrich_clusters_per_point_with_close_space_and_time(clusters_per_point)
# Compare to old query
daily_cases_query = comparative_test_service.get_daily_cases_query(session,
riskdate)
for point in gridpoints:
cases_in_cluster_query = comparative_test_service.get_cases_in_cluster_query(daily_cases_query,
point)
count_old = comparative_test_service.get_close_time_only(cases_in_cluster_query)
for cluster in clusters_per_point:
if cluster.point.equals(geography_service.get_shape_from_sqlalch_element(point)):
self.assertEquals(cluster.close_in_time, count_old)
def test_get_clusters_per_point_query(self):
dycast_parameters = test_helper_functions.get_dycast_parameters(large_dataset=True)
risk_service = risk_service_module.RiskService(dycast_parameters)
comparative_test_service = comparative_test_service_module.ComparativeTestService(dycast_parameters)
session = database_service.get_sqlalchemy_session()
riskdate = datetime.date(int(2016), int(3), int(25))
gridpoints = geography_service.generate_grid(dycast_parameters)
clusters_per_point_query = risk_service.get_clusters_per_point_query(session, gridpoints, riskdate)
clusters_per_point = risk_service.get_clusters_per_point_from_query(clusters_per_point_query)
daily_cases_query = comparative_test_service.get_daily_cases_query(session, riskdate)
for cluster in clusters_per_point:
point_wkt_element = geography_service.get_wktelement_from_wkt(cluster.point.wkt)
cases_in_cluster_query = comparative_test_service.get_cases_in_cluster_query(daily_cases_query,
point_wkt_element)
vector_count_new = cluster.get_case_count()
vector_count_old = database_service.get_count_for_query(cases_in_cluster_query)
self.assertEqual(vector_count_new, vector_count_old)
def test_get_daily_cases_query_old(self):
dycast_parameters = test_helper_functions.get_dycast_parameters()
comparative_test_service = comparative_test_service_module.ComparativeTestService(dycast_parameters)
session = database_service.get_sqlalchemy_session()
riskdate = datetime.date(int(2016), int(3), int(25))
daily_cases_query = comparative_test_service.get_daily_cases_query(session, riskdate)
count = database_service.get_count_for_query(daily_cases_query)
self.assertGreater(count, 0)
def test_get_cases_in_cluster_query_old(self):
dycast_parameters = test_helper_functions.get_dycast_parameters()
comparative_test_service = comparative_test_service_module.ComparativeTestService(dycast_parameters)
session = database_service.get_sqlalchemy_session()
riskdate = datetime.date(int(2016), int(3), int(25))
gridpoints = geography_service.generate_grid(dycast_parameters)
point = gridpoints[0]
daily_cases_query = comparative_test_service.get_daily_cases_query(session, riskdate)
cases_in_cluster_query = comparative_test_service.get_cases_in_cluster_query(daily_cases_query, point)
vector_count = database_service.get_count_for_query(cases_in_cluster_query)
self.assertGreater(vector_count, 0)