avg_route

service/views.py

@@ -33,6 +33,7 @@ from django.db.models import Min, Max
 import os
 from django.forms.models import model_to_dict
 import base64
+from django.db.models import Avg, Max, Min
 
 
 class AOViewSet(CustomReadOnlyModelViewSet):
@@ -353,6 +354,44 @@ class PlacementPointViewSet(ReadOnlyModelViewSet):
             st = status.status
         return Response({'last_time': models.LastMLCall.objects.first().dt, 'task_status': st}, status=HTTPStatus.OK)
 
+    @action(detail=False, methods=['get'])
+    def avg_bi_values(self, request):
+        qs = self.get_queryset()
+        result = qs.aggregate(Avg('target_dist_shap'), Avg('target_post_cnt_shap'), Avg('target_cnt_ao_mean_shap'),
+                           Avg('rival_pvz_cnt_shap'), Avg('rival_post_cnt_shap'), Avg('metro_dist_shap'),
+                           Avg('property_price_bargains_shap'), Avg('property_price_offers_shap'),
+                           Avg('property_mean_floor_shap'), Avg('property_era_shap'), Avg('flats_cnt_shap'),
+                           Avg('popul_home_shap'), Avg('popul_job_shap'), Avg('yndxfood_sum_shap'),
+                           Avg('yndxfood_cnt_shap'),
+                           Avg('school_cnt_shap'), Avg('kindergar_cnt_shap'), Avg('public_stop_cnt_shap'),
+                           Avg('sport_center_cnt_shap'), Avg('pharmacy_cnt_shap'), Avg('supermarket_cnt_shap'),
+                           Avg('supermarket_premium_cnt_shap'), Avg('clinic_cnt_shap'), Avg('bank_cnt_shap'),
+                           Avg('reca_cnt_shap'), Avg('lab_cnt_shap'), Avg('culture_cnt_shap'),
+                           Avg('attraction_cnt_shap'),
+                           Avg('mfc_cnt_shap'), Avg('bc_cnt_shap'), Avg('tc_cnt_shap'), Avg('business_activity_shap'),
+                           Max('target_dist_shap'), Max('target_post_cnt_shap'), Max('target_cnt_ao_mean_shap'),
+                           Max('rival_pvz_cnt_shap'), Max('rival_post_cnt_shap'), Max('metro_dist_shap'),
+                           Max('property_price_bargains_shap'), Max('property_price_offers_shap'),
+                           Max('property_mean_floor_shap'), Max('property_era_shap'), Max('flats_cnt_shap'),
+                           Max('popul_home_shap'), Max('popul_job_shap'), Max('yndxfood_sum_shap'),
+                           Max('yndxfood_cnt_shap'), Max('school_cnt_shap'), Max('kindergar_cnt_shap'),
+                           Max('public_stop_cnt_shap'), Max('sport_center_cnt_shap'), Max('pharmacy_cnt_shap'),
+                           Max('supermarket_cnt_shap'), Max('supermarket_premium_cnt_shap'), Max('clinic_cnt_shap'),
+                           Max('bank_cnt_shap'), Max('reca_cnt_shap'), Max('lab_cnt_shap'), Max('culture_cnt_shap'),
+                           Max('attraction_cnt_shap'), Max('mfc_cnt_shap'), Max('bc_cnt_shap'), Max('tc_cnt_shap'),
+                           Max('business_activity_shap'), Min('target_dist_shap'), Min('target_post_cnt_shap'),
+                           Min('target_cnt_ao_mean_shap'), Min('rival_pvz_cnt_shap'), Min('rival_post_cnt_shap'),
+                           Min('metro_dist_shap'), Min('property_price_bargains_shap'),
+                           Min('property_price_offers_shap'), Min('property_mean_floor_shap'), Min('property_era_shap'),
+                           Min('flats_cnt_shap'), Min('popul_home_shap'), Min('popul_job_shap'),
+                           Min('yndxfood_sum_shap'), Min('yndxfood_cnt_shap'), Min('school_cnt_shap'),
+                           Min('kindergar_cnt_shap'), Min('public_stop_cnt_shap'), Min('sport_center_cnt_shap'),
+                           Min('pharmacy_cnt_shap'), Min('supermarket_cnt_shap'), Min('supermarket_premium_cnt_shap'),
+                           Min('clinic_cnt_shap'), Min('bank_cnt_shap'), Min('reca_cnt_shap'), Min('lab_cnt_shap'),
+                           Min('culture_cnt_shap'), Min('attraction_cnt_shap'), Min('mfc_cnt_shap'), Min('bc_cnt_shap'),
+                           Min('tc_cnt_shap'), Min('business_activity_shap'))
+        return Response({'result': result}, status=HTTPStatus.OK)
+
 
 class PrePlacementPointViewSet(PlacementPointViewSet):
     queryset = models.PrePlacementPoint.objects
@@ -458,7 +497,6 @@ class AvgBiValuesViewSet(APIView):
         return Response(data, status=HTTPStatus.OK)
 
 
-
 @api_view(['POST'])
 def upload_post_and_pvz(request):
     warnings.filterwarnings('ignore')