1

api/api_v1/endpoints/query.py

@@ -708,6 +708,28 @@ async def user_property_sql(
     data = analysis.property_model()
     return schemas.Msg(code=0, msg='ok', data=[data])
 
+@router.post("/user_property_model_export")
+async def user_property_model_export(
+        request: Request,
+        game: str,
+        ckdb: CKDrive = Depends(get_ck_db),
+        analysis: UserAnalysis = Depends(UserAnalysis),
+        current_user: schemas.UserDB = Depends(deps.get_current_user)
+):
+    """用户属性 导出"""
+    await analysis.init(data_where=current_user.data_where)
+    data = analysis.property_model()
+    file_name = quote(f'用户属性.xlsx')
+    mime = mimetypes.guess_type(file_name)[0]
+
+    sql = data['sql']
+    df = await ckdb.query_dataframe(sql)
+    df_to_stream = DfToStream((df, '用户属性'))
+    with df_to_stream as d:
+        export = d.to_stream()
+    return StreamingResponse(export, media_type=mime, headers={'Content-Disposition': f'filename="{file_name}"'})
+
+
 
 @router.post("/user_property_model")
 async def user_property_model(

sql/huiliu.sql

@@ -0,0 +1,26 @@
+with Date(now()) as end_date,
+    '2021-08-20' as start_date
+select
+       login_date, days, count() as num
+from (
+      select `#account_id`, arrayJoin(log2) log3, log3.1 as login_date, log3.2 as days
+      from (select `#account_id`,
+                   login_date,
+                   arrayMap((x, y)->dateDiff('day', x, y) - 1, arraySlice(login_date, 1, length(login_date) - 1),
+                            arraySlice(login_date, 2, length(login_date) - 1))                        log1,
+                   arrayMap((x, y)-> (x, y), arraySlice(login_date, 1, length(login_date) - 1), log1) log2
+
+            from (select `#account_id`, arraySort(groupArray(date)) login_date
+                  from (
+                        with toDate(addHours(`#event_time`, 8)) as date
+                        select date, `#account_id`
+                        from zhengba.event
+                        where `#event_name` = 'login'
+                          and date >= start_date
+                          and date <= end_date
+                        group by date, `#account_id`
+                           )
+                  group by `#account_id`
+                  having length(login_date) > 1)))
+group by login_date,days
+order by  login_date,days