1.新手引导-新手引导滞留，把之前总人数（每日活跃人数）换成总人数（每日新增人数）

api/api_v1/endpoints/query.py

@@ -20,6 +20,7 @@ from db.redisdb import get_redis_pool, RedisDrive
 
 from models.behavior_analysis import BehaviorAnalysis, CombinationEvent
 from models.user_analysis import UserAnalysis
+from models.x_analysis import XAnalysis
 from utils import DfToStream
 
 router = APIRouter()
@@ -961,6 +962,9 @@ async def scatter_model(
     await analysis.init(data_where=current_user.data_where)
     event_type = analysis.events[0]['eventName']
     res = await analysis.scatter_model_sql()
+    end_date=analysis.end_date
+    start_date=analysis.start_date
+    where=analysis.events[-1]['quotaname']
     sql = res['sql']
 
     #查询买量渠道owner为kuaiyou3的日注册玩家等级分布
@@ -1090,6 +1094,14 @@ async def scatter_model(
                                            'p': list_p}}
                 #resp['list'][dt] = {'总体': {'n': [labels_dict.get(i, 0) for i in labels], 'total': total,
                 #                          'p': [round(labels_dict.get(i, 0) * 100 / total, 2) for i in labels]}}
+    if where =="step_id" and event_type == "guide":
+        sql=f"""SELECT toDate(addHours({game}.event."#event_time", 8)) AS date, count(DISTINCT {game}.event."#account_id") AS values FROM {game}.event WHERE addHours({game}.event."#event_time", 8) >= '{start_date}' AND addHours({game}.event."#event_time", 8) <= '{end_date}' AND {game}.event."#event_name" = 'create_account' GROUP BY toDate(addHours({game}.event."#event_time", 8)) ORDER BY date"""
+        df = await ckdb.query_dataframe(sql)
+        for i in range(len(df)):
+            resp['list'][str(df['date'][i])]['总体']['total']=int(df['values'][i])
+
+
+
         return schemas.Msg(code=0, msg='ok', data=resp)
 
         # bins_s = pd.cut(tmp_df['values'], bins=bins,
@@ -1241,4 +1253,6 @@ async def user_property_model(
     return schemas.Msg(code=0, msg='ok', data={
         'value': data,
         'title': title
-    })
+    })
+
+