删除缓存,优化

src/weixin/controls.py

@@ -3827,7 +3827,11 @@ def get_user_markscore_week_avg(request):
     #         qset = cm.UserMarkScore.objects.filter(stock_date=now_str).aggregate(avg_score=Avg("score"))
     #         item_list.append({"stock_date":now_str,"avg_score":qset.get("avg_score",0)})
     #     data.append(item_list)
-	count = (len(data)%5) + 30
+	#count = (len(data)%5) + 30
+    if datetime.datetime.now().weekday() in [5,6]:
+        count = 35
+    else:
+        count = (datetime.datetime.now().weekday()+1) + 30
     return data[:count]
             
 
@@ -3968,6 +3972,9 @@ def delete_user_stock(request):
         player_id = player.id
         #删除今日作业数据
         cm.PlayerRecord.get_db_model(match_id).objects.filter(user_id=user_id,stock_date=stock_date).delete()
+        #删除今日作业缓存数据
+        del_key = "%s_%s_%s_%s" % (user_id,match_id,player.match_group,stock_date)
+        ccc.del_cache(del_key)
 
         #删除今日持仓数据
         month = "%s%s" % (stock_date.split("-")[0],stock_date.split("-")[1])
@@ -4042,7 +4049,7 @@ def get_match_cangwei_avg_allday(**qdata):
 
     allday_cangwei_avg_list = []
     prset = cm.PlayerRecord.get_db_model(match_id).objects.filter(match_id=match_id).values("stock_date")\
-        .annotate(cnt=Count("stock_date"),total=Sum("today_cangwei"))
+        .annotate(cnt=Count("stock_date"),total=Sum("today_cangwei")).order_by("-stock_date")
     for item in prset:
         stock_date = item["stock_date"]
         cnt = item["cnt"]
@@ -4056,6 +4063,6 @@ def get_match_cangwei_avg_allday(**qdata):
                 "today_cangwei_avg":today_cangwei_avg
             })
 
-    allday_cangwei_avg_list = sorted(allday_cangwei_avg_list,key=lambda x:x["stock_date"],reverse=True)
+    #allday_cangwei_avg_list = sorted(allday_cangwei_avg_list,key=lambda x:x["stock_date"],reverse=True)
     rst = {"list":allday_cangwei_avg_list}
     return rst