diff --git a/apps/qm/tasks.py b/apps/qm/tasks.py
index eee3932d..88dbd627 100644
--- a/apps/qm/tasks.py
+++ b/apps/qm/tasks.py
@@ -26,7 +26,7 @@ def cal_quastat(quastatId: str):
     }
     results_day = QuaStat.objects.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s', 'month_s', 'day_s').annotate(
-                                        avg_val_total=Sum(F('avg_val')*F('num_test')),
+                                        avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),
                                         num_ok_1=Sum('num_ok')).annotate(
                                             avg_val_1=ExpressionWrapper(F('avg_val_total')/F('num_test_1'), output_field=FloatField()),
@@ -34,7 +34,7 @@ def cal_quastat(quastatId: str):
                                         )
     for r1 in results_day:
         stat_params = {
-            'avg_val': r1['avg_val_1'],
+            'val_avg': r1['avg_val_1'],
             'num_test': r1['num_test_1'],
             'num_ok': r1['num_ok_1'],
             'rate_pass': r1['rate_pass_1']
@@ -50,7 +50,7 @@ def cal_quastat(quastatId: str):
     params.pop('day_s')
     results_month = QuaStat.objects.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s', 'month_s').annotate(
-                                        avg_val_total=Sum(F('avg_val')*F('num_test')),
+                                        avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),
                                         num_ok_1=Sum('num_ok')).annotate(
                                             avg_val_1=ExpressionWrapper(F('avg_val_total')/F('num_test_1'), output_field=FloatField()),
@@ -58,7 +58,7 @@ def cal_quastat(quastatId: str):
                                         )
     for r1 in results_month:
         stat_params = {
-            'avg_val': r1['avg_val_1'],
+            'val_avg': r1['avg_val_1'],
             'num_test': r1['num_test_1'],
             'num_ok': r1['num_ok_1'],
             'rate_pass': r1['rate_pass_1']
@@ -76,7 +76,7 @@ def cal_quastat(quastatId: str):
     
     results_year = QuaStat.objects.filter(**params).values('belong_dept', 'material',
                                         'testitem', 'year_s').annotate(
-                                        avg_val_total=Sum(F('avg_val')*F('num_test')),
+                                        avg_val_total=Sum(F('val_avg')*F('num_test')),
                                         num_test_1=Sum('num_test'),
                                         num_ok_1=Sum('num_ok')).annotate(
                                             avg_val_1=ExpressionWrapper(F('avg_val_total')/F('num_test_1'), output_field=FloatField()),
@@ -84,7 +84,7 @@ def cal_quastat(quastatId: str):
                                         )
     for r1 in results_year:
         stat_params = {
-            'avg_val': r1['avg_val_1'],
+            'val_avg': r1['avg_val_1'],
             'num_test': r1['num_test_1'],
             'num_ok': r1['num_ok_1'],
             'rate_pass': r1['rate_pass_1']
diff --git a/apps/wpm/views.py b/apps/wpm/views.py
index 17d0f598..8b03e645 100644
--- a/apps/wpm/views.py
+++ b/apps/wpm/views.py
@@ -72,11 +72,9 @@ class SfLogViewSet(UpdateModelMixin, ListModelMixin, DestroyModelMixin, CustomGe
         from apps.qm.serializers import QuaStatSerializer
         obj = self.get_object()
         test_materials = obj.mgroup.test_materials
-        print('m', test_materials)
         for mid in test_materials:
             material = Material.objects.get(id=mid)
             testitems = material.testitems
-            print('t', testitems)
             for tid in testitems:
                 testitem = TestItem.objects.get(id=tid)
                 end_time_local = localtime(obj.end_time)