Implement running scheduled rules and check aggregations

core/db/druid.py

@@ -6,6 +6,14 @@ from django.conf import settings
 
 from core.db import StorageBackend, add_defaults
 from core.db.processing import parse_druid
+from core.lib.parsing import (
+    parse_date_time,
+    parse_index,
+    parse_sentiment,
+    parse_size,
+    parse_sort,
+    parse_source,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -155,12 +163,12 @@ class DruidBackend(StorageBackend):
         else:
             sizes = settings.MAIN_SIZES
         if not size:
-            size = self.parse_size(query_params, sizes)
+            size = parse_size(query_params, sizes)
             if isinstance(size, dict):
                 return size
 
         # I - Index
-        index = self.parse_index(request.user, query_params)
+        index = parse_index(request.user, query_params)
         if isinstance(index, dict):
             return index
 
@@ -173,7 +181,7 @@ class DruidBackend(StorageBackend):
             return search_query
 
         # S - Sources
-        sources = self.parse_source(request.user, query_params)
+        sources = parse_source(request.user, query_params)
         if isinstance(sources, dict):
             return sources
         total_count = len(sources)
@@ -182,20 +190,20 @@ class DruidBackend(StorageBackend):
             add_in["src"] = sources
 
         # R - Ranges
-        from_ts, to_ts = self.parse_date_time(query_params)
+        from_ts, to_ts = parse_date_time(query_params)
         if from_ts:
             addendum = f"{from_ts}/{to_ts}"
             search_query["intervals"] = [addendum]
 
         # S - Sort
-        sort = self.parse_sort(query_params)
+        sort = parse_sort(query_params)
         if isinstance(sort, dict):
             return sort
         if sort:
             search_query["order"] = sort
 
         # S - Sentiment
-        sentiment_r = self.parse_sentiment(query_params)
+        sentiment_r = parse_sentiment(query_params)
         if isinstance(sentiment_r, dict):
             return sentiment_r
         if sentiment_r: