QcWebServerGame/data_manage/pitcher_panel.py

from model.DateUtils import DateUtils
from model.DataBaseUtils import *
from model.log import logger
from model.CommonUtils import *
du = DateUtils()
ck = CkUtils()
db = MysqlUtils()
log = logger()


def get_channel_belong_pitcher(channel):
    """根据公众号获取投手"""
    sql = f"select pitcher,channel from dw_daily_channel_cost where dt='{du.get_n_days(-1)}' and pitcher!='' and channel!=''"
    data=ck.execute(sql)
    di={}
    for i in data:
        di[i[1]]=i[0]
    return di.get(channel,'')



def get_pitcher_panel_channel(pitcher,channel,start,end,page,page_size,order_by,order):

    sql=f"""select channel,stage,platform,book,
            formatDateTime(dt,'%Y-%m-%d') as date,
            cost,
            first_order_amount,
           toDecimal32(if(cost=0,0,first_order_amount/cost),4) first_roi,
           first_order_user,first_order_count,
           toDecimal32(if(first_order_user=0,0,cost/first_order_user),2) first_per_cost,
           view_count,click_count,follow_user,
           toDecimal32(if(click_count=0,0,follow_user/click_count),4) follow_rate,
           toDecimal32(if(follow_user=0,0,cost/follow_user),2) follow_per_cost,
            total_cost,
           toDecimal32(if(total_cost=0,0,total_amount/total_cost),2) back_rate
           from dw_daily_channel where dt>='{start}' and dt<='{end}'  """
    if pitcher!='all':
        sql += f" and pitcher='{pitcher}' "

    if channel!='':
        sql += f" and channel='{channel}' "

    total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
    sql += f" order by {order_by} {order} limit {(page-1)*page_size},{page_size} "

    print(sql)
    data=ck.execute(sql)

    key=['channel','stage','platform','book','date','cost','first_order_amount','first_roi','first_order_user',
         'first_order_count','first_per_cost','view_count','click_count','follow_user','follow_rate','follow_per_cost',
         'total_cost','back_rate']


    return get_dict_list(key,get_round(data)),total


def get_pitcher_panel_daily(pitcher, start, end, page, page_size, order_by, order):
    sql=f"""
        select formatDateTime(dt,'%Y-%m-%d') date ,pitcher,
               round(sum(cost),2) cost,
               round(sum(first_order_amount),2) first_order_amount,
               round(if(cost=0,0,first_order_amount/cost),4) first_roi ,
               round(sum(order_amount),2) order_amount,
               round(if(cost=0,0,sum(reg_order_amount)/cost),4)  today_roi,
               round(sum(total_cost),2) total_cost,
               round(sum(total_amount),2) total_amount,
               round(total_amount-total_cost,2) total_profit,
               round(if(total_cost=0,0,total_amount/total_cost),4) total_roi
               from dw_daily_channel  where dt>='{start}' and dt<='{end}' """


    if pitcher != 'all':
        sql += f" and pitcher='{pitcher}' "

    total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
    sql += f" group by date,pitcher order by {order_by} {order} limit {(page-1)*page_size},{page_size} "
    print(sql)
    data = ck.execute(sql)


    key=['date','pitcher','cost','first_order_amount','first_roi','order_amount','today_roi','total_cost','total_amount','total_profit','total_roi']
    return get_dict_list(key,data),total


def get_pitcher_panel_overview(pitcher):

    sql=f"""select  pitcher,
        cost cost,
        amount amount,
        roi roi, 
       channel_count,on_channel_count,
    off_channel_count,
    this_month_cost this_month_cost,
  this_month_amount this_month_amount,
    this_month_roi this_month_roi,
    last_month_cost last_month_cost,
    last_month_amount last_month_amount,
    last_month_roi last_month_roi,
    last_month_far_amount last_month_far_amount,
       follow_user,
    last_month_far_roi last_month_far_roi
       from  dm_pitcher_daily_page_total where  dt='{du.get_n_days(-1)}'"""

    if pitcher != 'all':
        sql += f" and pitcher='{pitcher}' "

    print(sql)
    data=ck.execute(sql)
    print(data)

    key=['pitcher','cost','amount','roi','channel_count','on_channel_count','off_channel_count','this_month_cost','this_month_amount','this_month_roi',
         'last_month_cost','last_month_amount','last_month_roi','last_month_far_amount','follow_user','last_month_far_roi']
    return get_dict_list(key,get_round(data))


def get_channel_overview(channel,pitcher,start,end,page,page_size,order_by,order):

    sql="""select channel,toString(dt) date,
       view_count,click_count,
       round(if(view_count=0,0,click_count/view_count),4) click_rate,
       follow_user,
       round(if(click_count=0,0,follow_user/click_count),4) follow_rate,
       round(if(follow_user=0,0,cost/follow_user),2) follow_per_cost,
       round(if(click_count=0,0,first_order_count/click_count),4) order_rate,
       round(if(first_order_user=0,0,cost/first_order_user),2) order_per_cost,
       round(cost,2) cost,
       first_order_count,first_order_user,
       round(first_order_amount,2) first_order_amount,order_count,order_user,
       round(order_amount,2) order_amount,
       round(order_amount-first_order_amount,2) old_order_amount,
       round(if(first_order_user=0,0,first_order_amount/first_order_user),2) first_amount_per_user,
       round(if(follow_user=0,0,first_order_amount/follow_user),2) amount_per_follow,
       round(if(first_order_user=0,0,cost/first_order_user),2) first_cost_per_user,
       round(if(follow_user=0,0,first_order_user/follow_user),4) new_user_order_rate,
       round(reg_order_amount,2) reg_user_amount,
       round(total_cost,2) total_cost,
       round(total_amount,2) total_amount,
       round(if(cost=0,0,first_order_amount/cost),4) day_roi,
       round(if(cost=0,0,reg_order_amount/cost),4) all_roi,
       0 avg_new_order_rate,
       0 old_user_once_order_rate from dw_daily_channel where 1=1 """
    if channel!='':
        sql+=f" and channel='{channel}'"
    if start!='':
        sql+=f" and start>='{start}'"
    if end!='':
        sql+=f" and end<='{end}'"
    if pitcher!='':
        sql+=f" and pitcher='{pitcher}'"
    total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
    sql += f" order by {order_by} {order} limit {(page-1)*page_size},{page_size} "
    print(sql)

    key=['channel','date','view_count','click_count','click_rate','follow_user','follow_rate','follow_per_cost','order_rate','order_per_cost','cost',
         'first_order_count','first_order_user','first_order_amount','order_count','order_user','order_amount','old_order_amount','first_amount_per_user',
         'new_user_order_rate','reg_user_amount','total_cost','total_amount','day_roi','all_roi','avg_new_order_rate','old_user_once_order_rate']

    return get_dict_list(key,get_round(ck.execute(sql))),total


def get_channel_again_order_trend(channel,date,pitcher):

    # if get_channel_belong_pitcher(channel)!=pitcher:
    #     return []

    sql=f"""select toString(dt) date,
       channel,book,
       round(cost,2) cost,
       round(reg_order_amount,2) reg_amount,
       round(if(cost=0,0,reg_order_amount/cost),4) roi,
       follow_user new_follow,
       round(if(follow_user=0,0,cost/follow_user),2) new_follow_per_cost,
       reg_order_count reg_count,reg_order_user reg_user,
       round(if(reg_order_user=0,0,cost/reg_order_user),2) cost_per_user,
       round(if(reg_order_user=0,0,reg_order_amount/reg_order_user),2) avg_order_amount,
       round(if(reg_order_user=0,0,reg_order_user_again/reg_order_user),4) avg_again_order_rate,
       order_count

        from dw_daily_channel where channel='{channel}' and dt='{date}'
       """
    # print(sql)
    data=ck.execute(sql)
    # print(data)
    key1=['date','channel','book','cost','reg_amount','roi','new_follow','new_follow_per_cost',
         'reg_count','reg_user','cost_per_user','avg_order_amount','avg_again_order_rate','order_count']
    json1=get_dict_list(key1,get_round(data))[0]
    # print(json1)
    sql2=f"""select
               dateDiff(day,toDate('{date}'),date)+1 ddf,
               count(1) c1,
               sum(if(count>1,1,0)) c2,
               sum(if(count>2,1,0)) c3,
               sum(if(count>3,1,0)) c4,
               sum(if(count>4,1,0)) c5,
               sum(if(count>5,1,0)) c6
        
        from (
        
        select count(1) count,date
            from order where channel='{channel}' and date>='{date}' and date<=addDays(toDate('{date}'),6)
                         and formatDateTime(reg_time,'%Y-%m-%d')='{date}'  group by user_id,date
            ) a group by date"""

    df=ck.execute(sql2)
    print(df)
    # 补全
    xx=[i[0] for i in df]
    for i in range(1,8):
        if i not in xx:
            df.append((i,0,0,0,0,0,0))
    # 排序
    import operator
    df.sort(key=operator.itemgetter(0))
    print(df)

    reg_user=json1["reg_user"]
    li=[]
    for i in range(1,6):
        print(i)
        d = {}
        d["user_order_count"] = i
        d1={}
        d1["origin"]=df[0][i]
        d1["new"]=0
        d1["move"]=df[0][i+1]
        d1["now"]=d1["origin"]+d1['new']-d1["move"]
        d1["follow_order_rate"]=round(d1["now"]/reg_user,2) if reg_user!=0 else 0
        d['d1'] = d1

        d2={}
        d2["origin"] = d1["now"]
        d2["new"] = df[1][i]
        d2["move"] = df[1][i+1]
        d2["now"] = d2["origin"] +d2['new']- d2["move"]
        d2["follow_order_rate"] = round(d2["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d2'] = d2

        d3={}
        d3["origin"] = d2["now"]
        d3["new"] = df[2][i]
        d3["move"] =df[2][i+1]
        d3["now"] = d3["origin"] +d3['new']- d3["move"]
        d3["follow_order_rate"] = round(d3["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d3'] = d3

        d4={}
        d4["origin"] = d3["now"]
        d4["new"] = df[3][i]
        d4["move"] = df[3][i+1]
        d4["now"] = d4["origin"] +d4['new']- d4["move"]
        d4["follow_order_rate"] = round(d4["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d4'] = d4

        d5={}
        d5["origin"] = d4["now"]
        d5["new"] = df[4][i]
        d5["move"] = df[4][i+1]
        d5["now"] = d5["origin"] +d5['new']- d5["move"]
        d5["follow_order_rate"] = round(d4["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d5'] = d5

        d6 = {}
        d6["origin"] = d5["now"]
        d6["new"] = df[5][i]
        d6["move"] = df[5][i+1]
        d6["now"] = d6["origin"] +d6['new']- d6["move"]
        d6["follow_order_rate"] = round(d6["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d6'] = d6

        d7 = {}
        d7["origin"] = d6["now"]
        d7["new"] = df[6][i]
        d7["move"] = df[6][i+1]
        d7["now"] = d7["origin"] +d7['new']- d7["move"]
        d7["follow_order_rate"] = round(d7["now"] / reg_user, 2) if reg_user!=0 else 0
        d['d7'] = d7

        li.append(d)
    print(li)

    json1['data']=li
    print([json1])
    return [json1]


def get_channel_active(channel,pitcher,start,end,page,page_size,order_by,order):
    if get_channel_belong_pitcher(channel)!=pitcher:
        return [],0

    sql=f"""select formatDateTime(a.dt,'%Y-%m-%d') date, '{channel}' channel,book,cost,reg_amount,roi,new_follow_user,new_follow_per_cost,order_user,order_count,
       order_user_per_cost,day7_avg_act_rate,day7_avg_act_per_cost,day30_avg_act_rate,ay30_avg_act_cost,
       act_per_cost,
       concat(toString(reg_order_user1),',',toString(if(reg_order_user1=0,0,cost/reg_order_user1)),',',toString(if(order_user=0,0,reg_order_user1/order_user))),
       concat(toString(reg_order_user2),',',toString(if(reg_order_user2=0,0,cost/reg_order_user2)),',',toString(if(order_user=0,0,reg_order_user2/order_user))),
       concat(toString(reg_order_user3),',',toString(if(reg_order_user3=0,0,cost/reg_order_user3)),',',toString(if(order_user=0,0,reg_order_user3/order_user))),
       concat(toString(reg_order_user4),',',toString(if(reg_order_user4=0,0, cost/reg_order_user4)),',',toString(if(order_user=0,0,reg_order_user4/order_user))),
       concat(toString(reg_order_user5),',',toString(if(reg_order_user5=0,0 ,cost/reg_order_user5)),',',toString(if(order_user=0,0,reg_order_user5/order_user))),
       concat(toString(reg_order_user6),',',toString(if(reg_order_user6=0,0,cost/reg_order_user6)),',',toString(if(order_user=0,0,reg_order_user6/order_user))),
       concat(toString(reg_order_user7),',',toString(if(reg_order_user7=0,0,cost/reg_order_user7)),',',toString(if(order_user=0,0,reg_order_user7/order_user))),
       concat(toString(reg_order_user8),',',toString(if(reg_order_user8=0,0,cost/reg_order_user8)),',',toString(if(order_user=0,0,reg_order_user8/order_user))),
       concat(toString(reg_order_user9),',',toString(if(reg_order_user9=0,0,cost/reg_order_user9)),',',toString(if(order_user=0,0,reg_order_user9/order_user))),
       concat(toString(reg_order_user10),',',toString(if(reg_order_user10=0,0,cost/reg_order_user10)),',',toString(if(order_user=0,0,reg_order_user10/order_user))),
       concat(toString(reg_order_user11),',',toString(if(reg_order_user11=0,0,cost/reg_order_user11)),',',toString(if(order_user=0,0,reg_order_user11/order_user))),
       concat(toString(reg_order_user12),',',toString(if(reg_order_user12=0,0,cost/reg_order_user12)),',',toString(if(order_user=0,0,reg_order_user12/order_user))),
       concat(toString(reg_order_user13),',',toString(if(reg_order_user13=0,0,cost/reg_order_user13)),',',toString(if(order_user=0,0,reg_order_user13/order_user))),
       concat(toString(reg_order_user14),',',toString(if(reg_order_user14=0,0,cost/reg_order_user14)),',',toString(if(order_user=0,0,reg_order_user14/order_user))),
       concat(toString(reg_order_user15),',',toString(if(reg_order_user15=0,0,cost/reg_order_user15)),',',toString(if(order_user=0,0,reg_order_user15/order_user))),
       concat(toString(reg_order_user16),',',toString(if(reg_order_user16=0,0,cost/reg_order_user16)),',',toString(if(order_user=0,0,reg_order_user16/order_user))),
       concat(toString(reg_order_user17),',',toString(if(reg_order_user17=0,0,cost/reg_order_user17)),',',toString(if(order_user=0,0,reg_order_user17/order_user))),
       concat(toString(reg_order_user18),',',toString(if(reg_order_user18=0,0,cost/reg_order_user18)),',',toString(if(order_user=0,0,reg_order_user18/order_user))),
       concat(toString(reg_order_user19),',',toString(if(reg_order_user19=0,0,cost/reg_order_user19)),',',toString(if(order_user=0,0,reg_order_user19/order_user))),
       concat(toString(reg_order_user20),',',toString(if(reg_order_user20=0,0,cost/reg_order_user20)),',',toString(if(order_user=0,0,reg_order_user20/order_user))),
       concat(toString(reg_order_user21),',',toString(if(reg_order_user21=0,0,cost/reg_order_user21)),',',toString(if(order_user=0,0,reg_order_user21/order_user))),
       concat(toString(reg_order_user22),',',toString(if(reg_order_user22=0,0,cost/reg_order_user22)),',',toString(if(order_user=0,0,reg_order_user22/order_user))),
       concat(toString(reg_order_user23),',',toString(if(reg_order_user23=0,0,cost/reg_order_user23)),',',toString(if(order_user=0,0,reg_order_user23/order_user))),
       concat(toString(reg_order_user24),',',toString(if(reg_order_user24=0,0,cost/reg_order_user24)),',',toString(if(order_user=0,0,reg_order_user24/order_user))),
       concat(toString(reg_order_user25),',',toString(if(reg_order_user25=0,0,cost/reg_order_user25)),',',toString(if(order_user=0,0,reg_order_user25/order_user))),
       concat(toString(reg_order_user26),',',toString(if(reg_order_user26=0,0,cost/reg_order_user26)),',',toString(if(order_user=0,0,reg_order_user26/order_user))),
       concat(toString(reg_order_user27),',',toString(if(reg_order_user27=0,0,cost/reg_order_user27)),',',toString(if(order_user=0,0,reg_order_user27/order_user))),
       concat(toString(reg_order_user28),',',toString(if(reg_order_user28=0,0,cost/reg_order_user28)),',',toString(if(order_user=0,0,reg_order_user28/order_user))),
       concat(toString(reg_order_user29),',',toString(if(reg_order_user29=0,0,cost/reg_order_user29)),',',toString(if(order_user=0,0,reg_order_user29/order_user))),
       concat(toString(reg_order_user30),',',toString(if(reg_order_user30=0,0,cost/reg_order_user30)),',',toString(if(order_user=0,0,reg_order_user30/order_user)))

       from (

select dt,book,cost,
       reg_order_amount reg_amount,
       if(cost=0,0,reg_order_amount/cost) roi,
       follow_user new_follow_user,
       if(follow_user=0,0,cost/follow_user) new_follow_per_cost,
       reg_order_user order_user,
       reg_order_count order_count,
       if(reg_order_user=0,0,cost/reg_order_user) order_user_per_cost,
       if(follow_user=0,0,reg_order_user7/follow_user) day7_avg_act_rate ,
       if(reg_order_user7=0,0,cost/reg_order_user7) day7_avg_act_per_cost,
       if(follow_user=0,0,reg_order_user30/follow_user) day30_avg_act_rate,
       if(reg_order_user30=0,0,cost/reg_order_user30) ay30_avg_act_cost,
       if(reg_order_user=0,0,cost/reg_order_user) act_per_cost
       from dw_daily_channel where channel='{channel}' and dt>='{start}' and dt<='{end}') a
left outer join (

select toDate(formatDateTime(reg_time,'%Y-%m-%d')) dt,
       count(distinct if(subtractDays(date, 1)>=reg_time,NULL,user_id)) reg_order_user1,
       count(distinct if(subtractDays(date, 2)>=reg_time,NULL,user_id)) reg_order_user2,
       count(distinct if(subtractDays(date, 3)>=reg_time,NULL,user_id)) reg_order_user3,
       count(distinct if(subtractDays(date, 4)>=reg_time,NULL,user_id)) reg_order_user4,
       count(distinct if(subtractDays(date, 5)>=reg_time,NULL,user_id)) reg_order_user5,
       count(distinct if(subtractDays(date, 6)>=reg_time,NULL,user_id)) reg_order_user6,
       count(distinct if(subtractDays(date, 7)>=reg_time,NULL,user_id)) reg_order_user7,
       count(distinct if(subtractDays(date, 8)>=reg_time,NULL,user_id)) reg_order_user8,
       count(distinct if(subtractDays(date, 9)>=reg_time,NULL,user_id)) reg_order_user9,
       count(distinct if(subtractDays(date, 10)>=reg_time,NULL,user_id)) reg_order_user10,
       count(distinct if(subtractDays(date, 11)>=reg_time,NULL,user_id)) reg_order_user11,
       count(distinct if(subtractDays(date, 12)>=reg_time,NULL,user_id)) reg_order_user12,
       count(distinct if(subtractDays(date, 13)>=reg_time,NULL,user_id)) reg_order_user13,
       count(distinct if(subtractDays(date, 14)>=reg_time,NULL,user_id)) reg_order_user14,
       count(distinct if(subtractDays(date, 15)>=reg_time,NULL,user_id)) reg_order_user15,
       count(distinct if(subtractDays(date, 16)>=reg_time,NULL,user_id)) reg_order_user16,
       count(distinct if(subtractDays(date, 17)>=reg_time,NULL,user_id)) reg_order_user17,
       count(distinct if(subtractDays(date, 18)>=reg_time,NULL,user_id)) reg_order_user18,
       count(distinct if(subtractDays(date, 19)>=reg_time,NULL,user_id)) reg_order_user19,
       count(distinct if(subtractDays(date, 20)>=reg_time,NULL,user_id)) reg_order_user20,
       count(distinct if(subtractDays(date, 21)>=reg_time,NULL,user_id)) reg_order_user21,
       count(distinct if(subtractDays(date, 22)>=reg_time,NULL,user_id)) reg_order_user22,
       count(distinct if(subtractDays(date, 23)>=reg_time,NULL,user_id)) reg_order_user23,
       count(distinct if(subtractDays(date, 24)>=reg_time,NULL,user_id)) reg_order_user24,
       count(distinct if(subtractDays(date, 25)>=reg_time,NULL,user_id)) reg_order_user25,
       count(distinct if(subtractDays(date, 26)>=reg_time,NULL,user_id)) reg_order_user26,
       count(distinct if(subtractDays(date, 27)>=reg_time,NULL,user_id)) reg_order_user27,
       count(distinct if(subtractDays(date, 28)>=reg_time,NULL,user_id)) reg_order_user28,
       count(distinct if(subtractDays(date, 29)>=reg_time,NULL,user_id)) reg_order_user29,
       count(distinct if(subtractDays(date, 30)>=reg_time,NULL,user_id)) reg_order_user30
       from order where  channel='{channel}' and dt>='{start}' group by formatDateTime(reg_time,'%Y-%m-%d')) b on a.dt=b.dt 
"""

    total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
    sql+=f" order by {order_by} {order} limit {(page-1)*page_size},{page_size} "
    data = ck.execute(sql)
    print(sql)
    print(data)

    key=['date','channel','book','cost','reg_amount','roi','new_follow_user','new_follow_per_cost','order_user','order_count','order_user_per_cost',
         'day7_avg_act_rate','day7_avg_act_per_cost','day30_avg_act_rate','day30_avg_act_cost','act_per_cost','d1','d2','d3','d4','d5','d6','d7','d8','d9','d10',
         'd11','d12','d13','d14','d15','d16','d17','d18','d19','d20','d21','d22','d23','d24','d25','d26','d27','d28','d29','d30']

    x=get_dict_list(key,get_round(data))
    print(x)
    li=[]

    for i in x:
        di = {}
        for j in i:
            if j in ['d1','d2','d3','d4','d5','d6','d7','d8','d9','d10',
         'd11','d12','d13','d14','d15','d16','d17','d18','d19','d20','d21','d22','d23','d24','d25','d26','d27','d28','d29','d30']:
                if i[j]:
                    k=i[j].split(",")
                    k[0]=round(float(k[0]),0)
                    k[1]=round(float(k[1]),2)
                    k[2]=round(float(k[2]),4)

                else:
                    k=[0,0,0]
                di[j] = dict(zip(['act_user', 'act_cost_per_cost', 'act_rate'], k))


            else:
                di[j]=i[j]
        li.append(di)
    return li,total

def get_channel_order_trend(channel,pitcher,start,end,page,page_size,order_by,order):
    if get_channel_belong_pitcher(channel)!=pitcher:
        return [],0
    sql=f"""select '{channel}' channel,toString(dt) date,book,cost,reg_order_amount,roi,new_follow_user,new_follow_per_cost,order_user,order_count,
       order_user_per_cost,
       concat(toString(r1),',',toString(r1/cost),',', toString(a1/cost),',',toString(b1)),
       concat(toString(r2),',',toString(r2/cost),',', toString(a2/cost),',',toString(b2)),
 concat(toString(r3),',',toString(r3/cost),',', toString(a3/cost),',',toString(b3)),
 concat(toString(r4),',',toString(r4/cost),',', toString(a4/cost),',',toString(b4)),
 concat(toString(r5),',',toString(r5/cost),',', toString(a5/cost),',',toString(b5)),
 concat(toString(r6),',',toString(r6/cost),',', toString(a6/cost),',',toString(b6)),
 concat(toString(r7),',',toString(r7/cost),',', toString(a7/cost),',',toString(b7)),
 concat(toString(r8),',',toString(r8/cost),',', toString(a8/cost),',',toString(b8)),
 concat(toString(r9),',',toString(r9/cost),',', toString(a9/cost),',',toString(b9)),
 concat(toString(r10),',',toString(r10/cost),',', toString(a10/cost),',',toString(b10)),
 concat(toString(r11),',',toString(r11/cost),',', toString(a11/cost),',',toString(b11)),
 concat(toString(r12),',',toString(r12/cost),',', toString(a12/cost),',',toString(b12)),
 concat(toString(r13),',',toString(r13/cost),',', toString(a13/cost),',',toString(b13)),
 concat(toString(r14),',',toString(r14/cost),',', toString(a14/cost),',',toString(b14)),
 concat(toString(r15),',',toString(r15/cost),',', toString(a15/cost),',',toString(b15)),
 concat(toString(r16),',',toString(r16/cost),',', toString(a16/cost),',',toString(b16)),
 concat(toString(r17),',',toString(r17/cost),',', toString(a17/cost),',',toString(b17)),
 concat(toString(r18),',',toString(r18/cost),',', toString(a18/cost),',',toString(b18)),
 concat(toString(r19),',',toString(r19/cost),',', toString(a19/cost),',',toString(b19)),
 concat(toString(r20),',',toString(r20/cost),',', toString(a20/cost),',',toString(b20)),
 concat(toString(r21),',',toString(r21/cost),',', toString(a21/cost),',',toString(b21)),
 concat(toString(r22),',',toString(r22/cost),',', toString(a22/cost),',',toString(b22)),
 concat(toString(r23),',',toString(r23/cost),',', toString(a23/cost),',',toString(b23)),
 concat(toString(r24),',',toString(r24/cost),',', toString(a24/cost),',',toString(b24)),
 concat(toString(r25),',',toString(r25/cost),',', toString(a25/cost),',',toString(b25)),
 concat(toString(r26),',',toString(r26/cost),',', toString(a26/cost),',',toString(b26)),
 concat(toString(r27),',',toString(r27/cost),',', toString(a27/cost),',',toString(b27)),
 concat(toString(r28),',',toString(r28/cost),',', toString(a28/cost),',',toString(b28)),
 concat(toString(r29),',',toString(r29/cost),',', toString(a29/cost),',',toString(b29)),
 concat(toString(r30),',',toString(r30/cost),',', toString(a30/cost),',',toString(b30)),
 concat(toString(r31),',',toString(r31/cost),',', toString(a31/cost),',',toString(b31)),
 concat(toString(r32),',',toString(r32/cost),',', toString(a32/cost),',',toString(b32)),
 concat(toString(r33),',',toString(r33/cost),',', toString(a33/cost),',',toString(b33)),
 concat(toString(r34),',',toString(r34/cost),',', toString(a34/cost),',',toString(b34)),
 concat(toString(r35),',',toString(r35/cost),',', toString(a35/cost),',',toString(b35)),
 concat(toString(r36),',',toString(r36/cost),',', toString(a36/cost),',',toString(b36)),
 concat(toString(r37),',',toString(r37/cost),',', toString(a37/cost),',',toString(b37)),
 concat(toString(r38),',',toString(r38/cost),',', toString(a38/cost),',',toString(b38)),
 concat(toString(r39),',',toString(r39/cost),',', toString(a39/cost),',',toString(b39)),
 concat(toString(r40),',',toString(r40/cost),',', toString(a40/cost),',',toString(b40)),
 concat(toString(r41),',',toString(r41/cost),',', toString(a41/cost),',',toString(b41)),
 concat(toString(r42),',',toString(r42/cost),',', toString(a42/cost),',',toString(b42)),
 concat(toString(r43),',',toString(r43/cost),',', toString(a43/cost),',',toString(b43)),
 concat(toString(r44),',',toString(r44/cost),',', toString(a44/cost),',',toString(b44)),
 concat(toString(r45),',',toString(r45/cost),',', toString(a45/cost),',',toString(b45)),
 concat(toString(r46),',',toString(r46/cost),',', toString(a46/cost),',',toString(b46)),
 concat(toString(r47),',',toString(r47/cost),',', toString(a47/cost),',',toString(b47)),
 concat(toString(r48),',',toString(r48/cost),',', toString(a48/cost),',',toString(b48)),
 concat(toString(r49),',',toString(r49/cost),',', toString(a49/cost),',',toString(b49)),
 concat(toString(r50),',',toString(r50/cost),',', toString(a50/cost),',',toString(b50)),
 concat(toString(r51),',',toString(r51/cost),',', toString(a51/cost),',',toString(b51)),
 concat(toString(r52),',',toString(r52/cost),',', toString(a52/cost),',',toString(b52)),
 concat(toString(r53),',',toString(r53/cost),',', toString(a53/cost),',',toString(b53)),
 concat(toString(r54),',',toString(r54/cost),',', toString(a54/cost),',',toString(b54)),
 concat(toString(r55),',',toString(r55/cost),',', toString(a55/cost),',',toString(b55)),
 concat(toString(r56),',',toString(r56/cost),',', toString(a56/cost),',',toString(b56)),
 concat(toString(r57),',',toString(r57/cost),',', toString(a57/cost),',',toString(b57)),
 concat(toString(r58),',',toString(r58/cost),',', toString(a58/cost),',',toString(b58)),
 concat(toString(r59),',',toString(r59/cost),',', toString(a59/cost),',',toString(b59)),
 concat(toString(r60),',',toString(r60/cost),',', toString(a60/cost),',',toString(b60)),
concat(toString(r120),',',toString(r120/cost),',', toString(a120/cost),',',toString(b120)),
       concat(toString(r150),',',toString(r150/cost),',', toString(a150/cost),',',toString(b150))
from
              (
select dt,book,cost,reg_order_amount,
       if(cost=0,0,reg_order_amount/cost) roi,
       follow_user new_follow_user,
       if(follow_user=0,0,cost/follow_user) new_follow_per_cost,
       reg_order_user order_user, reg_order_count order_count,
       if(reg_order_user=0,0,cost/reg_order_user) order_user_per_cost
       from dw_daily_channel where dt>='{start}' and dt<='{end}' and channel='{channel}' and cost>0) a

left outer join (
select toDate(formatDateTime(reg_time,'%Y-%m-%d')) dt,
       sum(if(subtractDays(date, 1)>=reg_time,0,amount)) as r1,
       sum(if(subtractDays(date, 2)>=reg_time,0,amount)) as r2,
       sum(if(subtractDays(date, 3)>=reg_time,0,amount)) as r3,
       sum(if(subtractDays(date, 4)>=reg_time,0,amount)) as r4,
       sum(if(subtractDays(date, 5)>=reg_time,0,amount)) as r5,
       sum(if(subtractDays(date, 6)>=reg_time,0,amount)) as r6,
       sum(if(subtractDays(date, 7)>=reg_time,0,amount)) as r7,
       sum(if(subtractDays(date, 8)>=reg_time,0,amount)) as r8,
       sum(if(subtractDays(date, 9)>=reg_time,0,amount)) as r9,
       sum(if(subtractDays(date, 10)>=reg_time,0,amount)) as r10,
       sum(if(subtractDays(date, 11)>=reg_time,0,amount)) as r11,
       sum(if(subtractDays(date, 12)>=reg_time,0,amount)) as r12,
       sum(if(subtractDays(date, 13)>=reg_time,0,amount)) as r13,
       sum(if(subtractDays(date, 14)>=reg_time,0,amount)) as r14,
       sum(if(subtractDays(date, 15)>=reg_time,0,amount)) as r15,
       sum(if(subtractDays(date, 16)>=reg_time,0,amount)) as r16,
       sum(if(subtractDays(date, 17)>=reg_time,0,amount)) as r17,
       sum(if(subtractDays(date, 18)>=reg_time,0,amount)) as r18,
       sum(if(subtractDays(date, 19)>=reg_time,0,amount)) as r19,
       sum(if(subtractDays(date, 20)>=reg_time,0,amount)) as r20,
       sum(if(subtractDays(date, 21)>=reg_time,0,amount)) as r21,
       sum(if(subtractDays(date, 22)>=reg_time,0,amount)) as r22,
       sum(if(subtractDays(date, 23)>=reg_time,0,amount)) as r23,
       sum(if(subtractDays(date, 24)>=reg_time,0,amount)) as r24,
       sum(if(subtractDays(date, 25)>=reg_time,0,amount)) as r25,
       sum(if(subtractDays(date, 26)>=reg_time,0,amount)) as r26,
       sum(if(subtractDays(date, 27)>=reg_time,0,amount)) as r27,
       sum(if(subtractDays(date, 28)>=reg_time,0,amount)) as r28,
       sum(if(subtractDays(date, 29)>=reg_time,0,amount)) as r29,
       sum(if(subtractDays(date, 30)>=reg_time,0,amount)) as r30,
       sum(if(subtractDays(date, 31)>=reg_time,0,amount)) as r31,
       sum(if(subtractDays(date, 32)>=reg_time,0,amount)) as r32,
       sum(if(subtractDays(date, 33)>=reg_time,0,amount)) as r33,
       sum(if(subtractDays(date, 34)>=reg_time,0,amount)) as r34,
       sum(if(subtractDays(date, 35)>=reg_time,0,amount)) as r35,
       sum(if(subtractDays(date, 36)>=reg_time,0,amount)) as r36,
       sum(if(subtractDays(date, 37)>=reg_time,0,amount)) as r37,
       sum(if(subtractDays(date, 38)>=reg_time,0,amount)) as r38,
       sum(if(subtractDays(date, 39)>=reg_time,0,amount)) as r39,
       sum(if(subtractDays(date, 40)>=reg_time,0,amount)) as r40,
       sum(if(subtractDays(date, 41)>=reg_time,0,amount)) as r41,
       sum(if(subtractDays(date, 42)>=reg_time,0,amount)) as r42,
       sum(if(subtractDays(date, 43)>=reg_time,0,amount)) as r43,
       sum(if(subtractDays(date, 44)>=reg_time,0,amount)) as r44,
       sum(if(subtractDays(date, 45)>=reg_time,0,amount)) as r45,
       sum(if(subtractDays(date, 46)>=reg_time,0,amount)) as r46,
       sum(if(subtractDays(date, 47)>=reg_time,0,amount)) as r47,
       sum(if(subtractDays(date, 48)>=reg_time,0,amount)) as r48,
       sum(if(subtractDays(date, 49)>=reg_time,0,amount)) as r49,
       sum(if(subtractDays(date, 50)>=reg_time,0,amount)) as r50,
       sum(if(subtractDays(date, 51)>=reg_time,0,amount)) as r51,
       sum(if(subtractDays(date, 52)>=reg_time,0,amount)) as r52,
       sum(if(subtractDays(date, 53)>=reg_time,0,amount)) as r53,
       sum(if(subtractDays(date, 54)>=reg_time,0,amount)) as r54,
       sum(if(subtractDays(date, 55)>=reg_time,0,amount)) as r55,
       sum(if(subtractDays(date, 56)>=reg_time,0,amount)) as r56,
       sum(if(subtractDays(date, 57)>=reg_time,0,amount)) as r57,
       sum(if(subtractDays(date, 58)>=reg_time,0,amount)) as r58,
       sum(if(subtractDays(date, 59)>=reg_time,0,amount)) as r59,
       sum(if(subtractDays(date, 60)>=reg_time,0,amount)) as r60,
       sum(if(subtractDays(date, 90)>=reg_time,0,amount)) as r90,
       sum(if(subtractDays(date, 120)>=reg_time,0,amount)) as r120,
       sum(if(subtractDays(date, 150)>=reg_time,0,amount)) as r150,
       0 a1,1 b1,
       r2-r1 a2,if(r1=0,0,r2/r1) b2,
r3-r2 a3,if(r1=0,0,r3/r1) b3,
r4-r3 a4,if(r1=0,0,r4/r1) b4,
r5-r4 a5,if(r1=0,0,r5/r1) b5,
r6-r5 a6,if(r1=0,0,r6/r1) b6,
r7-r6 a7,if(r1=0,0,r7/r1) b7,
r8-r7 a8,if(r1=0,0,r8/r1) b8,
r9-r8 a9,if(r1=0,0,r9/r1) b9,
r10-r9 a10,if(r1=0,0,r10/r1) b10,
r11-r10 a11,if(r1=0,0,r11/r1) b11,
r12-r11 a12,if(r1=0,0,r12/r1) b12,
r13-r12 a13,if(r1=0,0,r13/r1) b13,
r14-r13 a14,if(r1=0,0,r14/r1) b14,
r15-r14 a15,if(r1=0,0,r15/r1) b15,
r16-r15 a16,if(r1=0,0,r16/r1) b16,
r17-r16 a17,if(r1=0,0,r17/r1) b17,
r18-r17 a18,if(r1=0,0,r18/r1) b18,
r19-r18 a19,if(r1=0,0,r19/r1) b19,
r20-r19 a20,if(r1=0,0,r20/r1) b20,
r21-r20 a21,if(r1=0,0,r21/r1) b21,
r22-r21 a22,if(r1=0,0,r22/r1) b22,
r23-r22 a23,if(r1=0,0,r23/r1) b23,
r24-r23 a24,if(r1=0,0,r24/r1) b24,
r25-r24 a25,if(r1=0,0,r25/r1) b25,
r26-r25 a26,if(r1=0,0,r26/r1) b26,
r27-r26 a27,if(r1=0,0,r27/r1) b27,
r28-r27 a28,if(r1=0,0,r28/r1) b28,
r29-r28 a29,if(r1=0,0,r29/r1) b29,
r30-r29 a30,if(r1=0,0,r30/r1) b30,
r31-r30 a31,if(r1=0,0,r31/r1) b31,
r32-r31 a32,if(r1=0,0,r32/r1) b32,
r33-r32 a33,if(r1=0,0,r33/r1) b33,
r34-r33 a34,if(r1=0,0,r34/r1) b34,
r35-r34 a35,if(r1=0,0,r35/r1) b35,
r36-r35 a36,if(r1=0,0,r36/r1) b36,
r37-r36 a37,if(r1=0,0,r37/r1) b37,
r38-r37 a38,if(r1=0,0,r38/r1) b38,
r39-r38 a39,if(r1=0,0,r39/r1) b39,
r40-r39 a40,if(r1=0,0,r40/r1) b40,
r41-r40 a41,if(r1=0,0,r41/r1) b41,
r42-r41 a42,if(r1=0,0,r42/r1) b42,
r43-r42 a43,if(r1=0,0,r43/r1) b43,
r44-r43 a44,if(r1=0,0,r44/r1) b44,
r45-r44 a45,if(r1=0,0,r45/r1) b45,
r46-r45 a46,if(r1=0,0,r46/r1) b46,
r47-r46 a47,if(r1=0,0,r47/r1) b47,
r48-r47 a48,if(r1=0,0,r48/r1) b48,
r49-r48 a49,if(r1=0,0,r49/r1) b49,
r50-r49 a50,if(r1=0,0,r50/r1) b50,
r51-r50 a51,if(r1=0,0,r51/r1) b51,
r52-r51 a52,if(r1=0,0,r52/r1) b52,
r53-r52 a53,if(r1=0,0,r53/r1) b53,
r54-r53 a54,if(r1=0,0,r54/r1) b54,
r55-r54 a55,if(r1=0,0,r55/r1) b55,
r56-r55 a56,if(r1=0,0,r56/r1) b56,
r57-r56 a57,if(r1=0,0,r57/r1) b57,
r58-r57 a58,if(r1=0,0,r58/r1) b58,
r59-r58 a59,if(r1=0,0,r59/r1) b59,
r60-r59 a60,if(r1=0,0,r60/r1) b60,
r120-r60 a120,if(r1=0,0,r120/r1) b120,
r150-r120 a150,if(r1=0,0,r150/r1) b150
from order where  channel='{channel}' and dt>='{start}' group by formatDateTime(reg_time,'%Y-%m-%d')
    ) b on a.dt=b.dt
"""
    if start==end:
        total=1
    else:
        total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
        sql += f" order by {order_by} {order} limit {(page-1)*page_size},{page_size} "

    data=get_round(ck.execute(sql))
    # print(data)
    def parse(str):
        li=str.split(',')
        li[0]=round(float(li[0]),2)
        li[1]=round(float(li[1]),4)
        li[2]=round(float(li[2]),4)
        li[3]=round(float(li[3]),2)
        return dict(zip(['order','roi','add','mult'],li))

    for i in data:
        for x,y in enumerate(i):
            if x>=11:
                i[x]=parse(y)
    print(data)
    key=['date','channel','book','cost','reg_amount','roi','new_follow_user','new_follow_per_cost','order_user','order_count',
         'order_user_per_cost','d1','d2','d3','d4','d5','d6','d7','d8','d9','d10','d11','d12','d13','d14','d15','d16','d17','d18',
         'd19','d20','d21','d22','d23','d24','d25','d26','d27','d28','d29','d30','d31','d32','d33','d34','d35','d36','d37','d38',
         'd39','d40','d41','d42','d43','d44','d45','d46','d47','d48','d49','d50','d51','d52','d53','d54','d55','d56','d57','d58','d59',
         'd60','m3','m4','m5']

    return get_dict_list(key,data),total

def get_channel_summary(channel,pitcher,page,page_size,order_by,order,state):

    pitcher_op=f" and pitcher='{pitcher}'" if pitcher!='' else ''
    channel_op=f" and channel='{channel}'" if channel!='' else ''


    sql = f"""select a.channel channel,state,'朋友圈' location,toString(start) start,toString(end) end,total_cost,total_amount,
                        profit,roi,follow_user,follow_per_cost,order_user,
                if(follow_user=0,0,order_user/follow_user) order_tran_rate,if(order_user=0,0,total_cost/order_user) order_tran_cost
                from
                (
                select channel,if(max(dt)>subtractDays(today(),10),'在投','停投') state,
                       min(dt) start,max(dt) end
                       from dw_daily_channel_cost where cost>0 {pitcher_op} {channel_op}  group by channel) a

                left outer join(
                select channel,sum(follow_user) follow_user,
                       if(follow_user=0,0,sum(cost)/follow_user) follow_per_cost
                       from dw_daily_channel where 1=1 {pitcher_op} {channel_op} group by channel) b on a.channel=b.channel

                left outer join(
                select sum(reg_order_user) order_user,channel 
                from dw_daily_channel where dt=subtractDays(today(),1) {pitcher_op} {channel_op} group by channel) c on a.channel=c.channel

                left outer join (
                    select total_cost,
                       total_amount,
                       channel,
                       total_amount-total_cost profit,
                       if(total_cost=0,0,total_amount/total_cost) roi
                from dw_channel_daily_total where dt=subtractDays(today(),1) {channel_op}) d on a.channel=d.channel 
                """
    print(sql)
    if channel!='':
        total=1
    else:
        sql+=f" having state='{state}' " if state!='' else ''
        total = ck.execute(f"select count(1) from ({sql}) a")[0][0]
        sql += f' order by {order_by} {order} limit {(page-1)*page_size},{page_size} '
    print(sql)
    key=['channel','state','location','start','end','total_cost','total_amount','profit','roi',
         'follow_user','follow_per_cost','order_user','order_tran_rate','order_tran_cost']
    print(ck.execute(sql))

    return get_dict_list(key,get_round(ck.execute(sql))),total



if __name__ == '__main__':
    # a=get_channel_overview('','','',1,10,'date','desc')
    # a=get_channel_summary('','')
    a=get_channel_again_order_trend('龙鳞文学','2021-01-01','宋刚')
    # a=get_channel_active('玉龙书社','2020-09-15','2020-09-20',1,10,'date','desc')
    # a,b =get_channel_order_trend("玉龙书社",'王俊杰','2020-12-01','2020-12-12',1,5,'date','desc')
    print(a)
    pass