Return financial year not calendar and ensure double precision values

are not returned from queries

- Updated stats_template_usage_by_month_dao.py to return the results for
financial year not calendar, as the report os for FY only and hence
only the FY data is required
- Updated services_dao.py to ensure double precision values are converted
to an int as the 'exact' function returns double precision from the
database query, as the admin code requires the value for month to be an
int

app/dao/services_dao.py

@@ -550,7 +550,7 @@ def dao_fetch_monthly_historical_usage_by_template_for_service(service_id, year)
 
     results = dao_get_template_usage_stats_by_service(service_id, year)
 
-    stats = list()
+    stats = []
     for result in results:
         stat = type("", (), {})()
         stat.template_id = result.template_id
@@ -575,7 +575,7 @@ def dao_fetch_monthly_historical_usage_by_template_for_service(service_id, year)
     ).join(
         Template, Notification.template_id == Template.id,
     ).filter(
-        Notification.created_at >= start_date
+        Notification.created_at >= start_date,
     ).group_by(
         Notification.template_id,
         Template.name,
@@ -599,8 +599,8 @@ def dao_fetch_monthly_historical_usage_by_template_for_service(service_id, year)
             new_stat.template_id = today_result.template_id
             new_stat.template_type = today_result.template_type
             new_stat.name = today_result.name
-            new_stat.month = today_result.month
-            new_stat.year = today_result.year
+            new_stat.month = int(today_result.month)
+            new_stat.year = int(today_result.year)
             new_stat.count = today_result.count
             stats.append(new_stat)
 

app/dao/stats_template_usage_by_month_dao.py

@@ -1,3 +1,5 @@
+from sqlalchemy import or_, and_
+
 from app import db
 from app.statsd_decorators import statsd
 from app.dao.dao_utils import transactional
@@ -41,6 +43,15 @@ def dao_get_template_usage_stats_by_service(service_id, year):
     ).join(
         Template, StatsTemplateUsageByMonth.template_id == Template.id
     ).filter(
-        Template.service_id == service_id,
-        StatsTemplateUsageByMonth.year == year
+        Template.service_id == service_id
+    ).filter(
+        or_(
+            and_(
+                StatsTemplateUsageByMonth.month.in_([4, 5, 6, 7, 8, 9, 10, 11, 12]),
+                StatsTemplateUsageByMonth.year == year
+            ), and_(
+                StatsTemplateUsageByMonth.month.in_([1, 2, 3]),
+                StatsTemplateUsageByMonth.year == year + 1
+            )
+        )
     ).all()