Changing query to retrieve only strong clusters

app.py

@@ -8,7 +8,7 @@ from db_cluster import table_class, create_session
 import uuid
 import pandas as pd
 from sys import getsizeof
-
+from sqlalchemy import or_, and_
 
 logging.basicConfig(format="%(asctime)s %(message)s")
 
@@ -32,7 +32,12 @@ logging.info(msg=f"Начало Первого запроса в базу")
 session = create_session(**app.config['postgres'])
 Class_Table_Name = table_class(app.config['postgres'].get('table_name'))
 df = pd.read_sql(session.query(Class_Table_Name.cluster_id, Class_Table_Name.count, Class_Table_Name.centroid)
-    .filter(Class_Table_Name.is_actual == True, Class_Table_Name.language == 'ru').statement,session.bind)
+.filter(Class_Table_Name.is_actual == True, Class_Table_Name.language == 'ru')
+         .filter(or_(Class_Table_Name.count != 0, and_(Class_Table_Name.count==0, 
+                                                       Class_Table_Name.created_date > datetime.today() - timedelta(days = 30))))
+         .statement,session.bind)
+
+
 
 logging.info(msg=f"Количество кластеров в рус: {len(df)} Size: {getsizeof(df)}")