def poster_uv_everyday_distribution(day_time):
'''
海报使用次数、人数
:param day_time:某一天，格式为："2018-11-21"
:return: posters_pv：海报使用次数, poster_uv：海报使用人数
'''
star_timeStamp = day2timestamp(day_time)
posters = mdb.log_poster.find(
{"ctime": {
"$gte": star_timeStamp,
"$lt": star_timeStamp + 86400
}})
posters_types_count = {}
temp_count = 0
for p in posters:
temp_id = p["temp_id"]
temp = mdb.temp_poster.find({"_id": temp_id})
for t in temp:
try:
if t["sub_type"] not in posters_types_count.keys():
posters_types_count[t["sub_type"]] = 1
else:
posters_types_count[t["sub_type"]] += 1
except:
temp_count += 1
print(temp_count)
return posters_types_count
def poster_uv_everyday(day_time):
'''
海报使用次数、人数
:param day_time:某一天，格式为："2018-11-21"
:return: posters_pv：海报使用次数, poster_uv：海报使用人数
'''
star_timeStamp = day2timestamp(day_time)
posters = mdb.log_poster.distinct(
"uid",
{"ctime": {
"$gte": star_timeStamp,
"$lt": star_timeStamp + 86400
}}) # 使用海报的uid
poster_uv = len(posters) # 海报使用人数
posters_pv = mdb.log_poster.find({
"ctime": {
"$gte": star_timeStamp,
"$lt": star_timeStamp + 86400
}
}).count() # 海报使用次数
return posters_pv, poster_uv
def get_vip_stylist_list():
'''
生成使用售后卡功能的VIP发型师名单，及电话号码
:return:
'''
w = xlwt.Workbook()
sh = w.add_sheet("发型师信息")
day_time_start = "2019-1-10"
star_timeStamp0 = day2timestamp(day_time_start)
print(star_timeStamp0)
for k in range(7):
star_timeStamp = star_timeStamp0 + k * 86400
stylists = get_stylists(star_timeStamp)
print("使用售后卡人数：", len(stylists))
print(stylists)
import datetime
dateArray = datetime.datetime.utcfromtimestamp(star_timeStamp + 36000)
otherStyleTime = dateArray.strftime("%Y--%m--%d")
sh.write(0, 4 * k + 0, otherStyleTime)
sh.write(1, 4 * k + 0, "姓名")
sh.write(1, 4 * k + 1, "电话号码")
sh.write(1, 4 * k + 2, "vip")
for i, sy in enumerate(stylists):
sy_id = int(sy)
s_vip, s_mobile, s_name = get_stylist_phone_vip(sy_id, star_timeStamp)
if s_vip == "vip":
sh.write(i + 2, 4 * k + 0, s_name)
sh.write(i + 2, 4 * k + 2, s_vip)
sh.write(i + 2, 4 * k + 1, s_mobile)
w.save("/Users/sunyihuan/Desktop/使用售后卡发型师.xls")
def get_wangluosheji_stylists(day_time):
'''
获取某段时间内，完成网络设计订单的发型师名单
:param day_time:
:return:
'''
star_timeStamp = day2timestamp(day_time)
needs_finish = mdb.xm_hair_scheme.find({
"is_finish": 1,
"ctime": {
"$gte": ts2utcdatetime(star_timeStamp),
"$lt": ts2utcdatetime(star_timeStamp + 30 * 86400)
}
})
wangluo_stylist = []
for n_f in needs_finish:
need_id = id2ObjectId(n_f["need_id"])
needs_p = mdb.xm_hair_need.find({"_id": need_id})
for n in needs_p:
if n["source"] == 2:
if n["myid"] not in wangluo_stylist:
wangluo_stylist.append(n["myid"])
return wangluo_stylist
},
"sort": {
"action_timestamp": { # 根据action_timestamp字段升序排序
"order": "desc" # asc升序，desc降序
}
}
}
res = es.search(index=index, body=body) # 获取测试端数据
return res["aggregations"]['uv']['value']
def five_daohang_page_uv(index, gt_time, lt_time):
page_uv = {}
for current_page in [
"app-001", "jin-ri-ying-xiao", "hai-bao", "ke_hu", "wo-de"
]:
page_name = "{}_uv".format(current_page)
uv = DaoHang_uv(index, gt_time, lt_time, current_page)
page_uv[page_name] = uv
return page_uv
if __name__ == "__main__":
index = 'user_behavior_log_prod_20180723' # 线上index
start_time = day2timestamp("2019-1-6") # 当日的日期，转化为当日0点时间戳
end_time = day2timestamp("2019-1-7") # 后一天的日期，转化为后一天0点时间戳
print(five_daohang_page_uv(index, start_time, end_time))
# coding:utf-8
'''
色板模块使用人数
created on 2019/1/7
@author:sunyihuan
'''
from utils import connect_mongodb_sheji, connect_es, id2ObjectId, day2timestamp, ts2utcdatetime, list_change_type
mdb = connect_mongodb_sheji()
stylists_color_disk = mdb.xm_good_colour_disk.distinct("myid", {"status": 101})
print("完成色板设置总人数：", len(stylists_color_disk))
star_timeStamp = day2timestamp("2019-1-7")
vip_st = mdb.wxuser.distinct("_id", {"expireat": {
"$gt": star_timeStamp
}}) # vip列表
stylists_color_disk_vip = set(stylists_color_disk) & set(vip_st)
print("完成色板设置VIP总人数：", len(stylists_color_disk_vip))
# "brand_id"=100001 伊诺雅；"brand_id"=100002欧莱雅；"brand_id"=100005施华蔻；
# "brand_id"=100004 威娜；"brand_id"=100005 资生堂
stylists_color_yny = mdb.xm_good_colour_disk.distinct("myid", {
"status": 101,
"brand_id": 100001
})
print("选择伊诺雅设置总人数：", len(stylists_color_yny))
stylists_color_oly = mdb.xm_good_colour_disk.distinct("myid", {
"status": 101,
"brand_id": 100002
if u["inline"] == 1:
amounts -= o["price"]
typ = o["type"]
if typ not in type.keys():
type[typ] = 1
except:
print(o)
else:
type[typ] = type[typ] + 1
return amounts, type
if __name__ == "__main__":
start_time = "2019-5-1"
end_time = "2019-6-1"
start_time = day2timestamp(start_time)
print(start_time)
end_time = day2timestamp(end_time)
print(end_time)
#
# mobile_nums, buy_vip_nums, vip_nums, one_month_expire = basic_data(start_time, end_time)
# print("已存入手机号码人数： ", mobile_nums)
# print("购买过VIP人数： ", buy_vip_nums)
# print("当前VIP人数： ", vip_nums)
# print("一个月内到期的人数： ", one_month_expire)
#
#
# t_count, t_uid = twice_buy_vip()
# print("二次购买人数： ", t_count)
# print(t_uid)
three_days_using_uv = set(stylist_one) & set(stylist_two) & set(
stylist_three)
two_stylist = (set(stylist_one) & set(stylist_two)) | (
set(stylist_two) & set(stylist_three))
return stylist_one, stylist_two, stylist_three, three_days_using_uv, two_stylist
if __name__ == "__main__":
# stylists = seven_day_stylist()
# card_nums = mdb.customer_card_after.find(
# {"status": 101, "ctime": {"$gt": ts2utcdatetime(1545062400), "$lt": ts2utcdatetime(1545148800)}}).count()
# card_get_nums = mdb.customer_card_after.find({"status": 101, "is_get": 1,
# "ctime": {"$gt": ts2utcdatetime(1545062400),
# "$lt": ts2utcdatetime(1545148800)}}).count()
# print("使用售后服务卡功能人数：", len(stylists))
# print("生成售后服务卡总数：", card_nums)
# print("售后服务卡被领取总数：", card_get_nums)
day_time_start = "2019-1-28"
star_timeStamp = day2timestamp(day_time_start)
# stylist_one, stylist_two, stylist_three, three_days_using_uv, two_stylist = three_days_using_card(star_timeStamp)
# print("第一天使用人数", len(stylist_one))
# print("第二天使用人数", len(stylist_two))
# print("第三天使用人数", len(stylist_three))
# print("连续两天都使用的人数", len(two_stylist))
# print("三天都使用的人数", len(three_days_using_uv))
# print(two_stylist)
two_stylist = two_days_using_card_stylists(star_timeStamp)
stylists_2_excel(two_stylist, star_timeStamp)
def average_uv(index, endtime, n):
'''
vip近n天的平均日活、VIP购买量
:param endtime: 当前时间
:param n: 天数
:return:
'''
av_vip_uv = 0
bus_av = 0
for i in range(30):
end_time = endtime - i * 86400
start_time = end_time - 86400
vip_uv = days_vip_uv(index, start_time, end_time)
buy_vip_nums = days_buy_nums(start_time, end_time)
av_vip_uv += len(vip_uv)
bus_av += buy_vip_nums
return int(av_vip_uv / n), int(bus_av / n)
if __name__ == "__main__":
index = 'user_behavior_log_prod_20180723' # 线上index
# start_time = day2timestamp("2019-2-10") # 当日的日期，转化为当日0点时间戳
end_time0 = day2timestamp("2019-3-11") # 后一天的日期，转化为后一天0点时间戳
av_vip_uv, bus_av = average_uv(index, end_time0, 30)
print(av_vip_uv, bus_av)
# }
# }
],
"should": []
}
},
"sort": {
"action_timestamp": { # 根据action_timestamp字段升序排序
"order": "desc" # asc升序，desc降序
}
}
}
res = es.search(index=index, body=body) # 获取测试端数据
return res["aggregations"]['uv']['value']
if __name__ == "__main__":
index = 'user_behavior_log_prod_20180723' # 线上index
start_time0 = day2timestamp("2019-2-13") # 当日的日期，转化为当日0点时间戳
for i in range(7):
start_time = start_time0 + 86400 * i
end_time = start_time + 86400
haibao_uv = DaoHang_uv(index, start_time, end_time, "hai-bao")
chaoliu_uv = DaoHang_uv(index, start_time, end_time,
"fa-xing-chao-liu")
print("日期:", str(timeStamp2day(start_time + 34000)).split(" ")[0])
print("海报访问人数：", haibao_uv)
print("发型潮流访问人数：", chaoliu_uv)
buy_time = timeStamp2date(buy_time)
except:
continue
if int(tell) > 0:
sh.write(i + 1, 0, i + 1)
sh.write(i + 1, 1, name) # 写入名字
sh.write(i + 1, 2, tell) # 写入手机号码
sh.write(i + 1, 3, buy_time) # 写入购买时间
sh.write(i + 1, 4, price) # 写入购买金额
sh.write(i + 1, 5, ex_time) # 写入到期时间
except:
print(i, myid)
c += 1
print(c)
w.save("/Users/sunyihuan/Desktop/近30天未使用app名单.xls")
if __name__ == "__main__":
end_time = "2019-1-14"
end_time = day2timestamp(end_time)
# no_using_list_7 = day_nums_no_using(7)
# no_using_list_15 = day_nums_no_using(15)
no_using_list_30 = day_nums_no_using(end_time, 30)
no_using = Correcting_user(no_using_list_30, end_time, 30)
print(len(no_using))
# print("7日未登陆app人数:", len(no_using_list_7))
# print("15日未登陆app人数:", len(no_using_list_15))
print("30日未登陆app人数:", len(no_using_list_30))
write2excel(no_using)
def write2excel(name):
import xlwt
w = xlwt.Workbook()
sh = w.add_sheet("name")
sh.write(0, 0, "name")
sh.write(0, 1, "count")
for i in range(len(name)):
sh.write(i + 1, 0, name[i][0])
sh.write(i + 1, 1, name[i][1])
w.save("/Users/sunyihuan/Desktop/scheme_name.xls")
if __name__ == "__main__":
start_time = day2timestamp("2018-10-01")
sc_f, sc_name = scheme_static(ts2utcdatetime(start_time))
sc = sorted(sc_f.items(), key=lambda x: x[1], reverse=True)
name = sorted(sc_name.items(), key=lambda x: x[1], reverse=True)
print(sc)
print(name)
# for sn in sc_name.keys():
# print(sn.split("心")[1])
fa_count = {}
for ss in sc_name.keys():
fachang = ss.split("心")[1]
if fachang not in fa_count.keys():
fa_count[fachang] = sc_name[ss]
else:
fa_count[fachang] += sc_name[ss]
fa_count = sorted(fa_count.items(), key=lambda x: x[1], reverse=True)
def changJing_data(day_time_start):
'''
返回某一日数据看板中的数据
:param day_time_start: 日期，格式为："2018-12-21"
:return:
sheji_st：设计沟通场景日活,
sheji_st_vip：设计沟通场景VIP日活,
poster_st：营销拓客场景日活,
poster_st_vip：营销拓客场景VIP日活,
stylists：美助app日活,
stylists_yes：美助app昨日留存,
stylists_vip：美助app中VIP日活
'''
mdb = connect_mongodb_sheji() # 链接sheji
star_timeStamp = day2timestamp(day_time_start)
vip_st = mdb.wxuser.distinct("_id", {"expireat": {
"$gt": star_timeStamp
}}) # vip列表
vip_st = list_change_type(int, vip_st)
poster_st = mdb.log_poster.distinct(
"uid",
{"ctime": {
"$gt": star_timeStamp,
"$lt": star_timeStamp + 86400
}}) # 使用海报发型师uv
fxcl_st = mdb.log_material.distinct(
"uid",
{"ctime": {
"$gt": star_timeStamp,
"$lt": star_timeStamp + 86400
}}) # 使用海报发型师uv
poster_st = set(poster_st) | set(fxcl_st)
poster_st = list_change_type(int, poster_st)
stylist_one = mdb.xm_hair_scheme.distinct(
"myid", {
"utime": {
"$gte": ts2utcdatetime(star_timeStamp + 0 * 86400),
"$lt": ts2utcdatetime(star_timeStamp + 86400)
},
"is_finish": 1
}) # 完成订单发型师
stylist_one = list_change_type(int, stylist_one)
stylist_t = mdb.xm_good_hair.distinct(
"myid", {
"utime": {
"$gte": ts2utcdatetime(star_timeStamp + 0 * 86400),
"$lt": ts2utcdatetime(star_timeStamp + 86400)
},
"status": 1
}) # 收藏发型的发型师
stylist_t = list_change_type(int, stylist_t)
sheji_st = set(stylist_one) | set(stylist_t) # 设计沟通场景发型师日活
sheji_st = list_change_type(int, sheji_st)
sheji_st_vip = (set(stylist_one) | set(stylist_t)) & set(
vip_st) # 设计沟通场景发型师VIP日活
poster_st_vip = set(vip_st) & set(poster_st) # 使用海报发型师中VIP的人数
stylists = seven_day_stylist(star_timeStamp,
star_timeStamp + 86400) # 美业助手app当日uv
stylists_yestday = seven_day_stylist(star_timeStamp - 86400,
star_timeStamp) # 美业助手app昨日uv
vip_st = list_change_type(str, vip_st)
stylists_yes = set(stylists) & set(stylists_yestday) # 次日留存人数
stylists_vip = set(stylists) & set(vip_st) # 美业助手app当日VIP日活
return sheji_st, sheji_st_vip, poster_st, poster_st_vip, stylists, stylists_yes, stylists_vip
def get_finished_stylist_list(day_time):
'''
自2018-11-11开始
近30天完成订单用户中，完成订单次数前100排名（名字/电话/剪发价位/地址）
近30天完成订单用户中，完成订单次数前100排名（名字/电话/剪发价位/地址）
:return:day_time：开始日期，格式 "2018-11-11"
'''
w = xlwt.Workbook()
sh_wangluo = w.add_sheet("网络设计")
sh_xianchang = w.add_sheet("现场设计")
star_timeStamp = day2timestamp(day_time)
needs_finish = mdb.xm_hair_scheme.find({"is_finish": 1, "ctime": {"$gte": ts2utcdatetime(star_timeStamp),
"$lt": ts2utcdatetime(
star_timeStamp + 30 * 86400)}})
wangluo_stylist = {}
xianchang_stylist = {}
for n_f in needs_finish:
need_id = id2ObjectId(n_f["need_id"])
needs_p = mdb.xm_hair_need.find({"_id": need_id})
for n in needs_p:
my_id = n["myid"]
if n["source"] == 2:
if my_id not in wangluo_stylist.keys():
wangluo_stylist[my_id] = 1
else:
wangluo_stylist[my_id] += 1
elif n["source"] == 1:
if my_id not in xianchang_stylist.keys():
xianchang_stylist[my_id] = 1
else:
xianchang_stylist[my_id] += 1
wangluo_stylist = dict_sorted(wangluo_stylist)
xianchang_stylist = dict_sorted(xianchang_stylist)
wangluo_n = get_n_range(wangluo_stylist)
xianchang_n = get_n_range(xianchang_stylist)
sh_wangluo.write(0, 0, "姓名")
sh_wangluo.write(0, 1, "手机号码")
sh_wangluo.write(0, 2, "剪发价格")
sh_wangluo.write(0, 3, "发廊地址")
sh_wangluo.write(0, 4, "单数")
for i in range(wangluo_n):
my_id = wangluo_stylist[i][0]
my_nums = wangluo_stylist[i][1]
sh_wangluo.write(i + 1, 4, my_nums)
try:
s_p = mdb.person.find({"uid": my_id})
for s__ in s_p:
if s__["user_name"] != "":
sh_wangluo.write(i + 1, 1, s__["mobile"])
sh_wangluo.write(i + 1, 0, s__["user_name"])
sh_wangluo.write(i + 1, 2, s__["cut_price"])
sh_wangluo.write(i + 1, 3, s__["salon_position"])
except:
print(my_id)
sh_xianchang.write(0, 0, "姓名")
sh_xianchang.write(0, 1, "手机号码")
sh_xianchang.write(0, 2, "剪发价格")
sh_xianchang.write(0, 3, "发廊地址")
sh_xianchang.write(0, 4, "单数")
for i_ in range(xianchang_n):
my_id__ = xianchang_stylist[i_][0]
my_nums_ = xianchang_stylist[i_][1]
sh_xianchang.write(i_ + 1, 4, my_nums_)
try:
s_p = mdb.person.find({"uid": my_id__})
for s__ in s_p:
if s__["user_name"] != "":
sh_xianchang.write(i_ + 1, 0, s__["user_name"])
sh_xianchang.write(i_ + 1, 1, s__["mobile"])
sh_xianchang.write(i_ + 1, 2, s__["cut_price"])
sh_xianchang.write(i_ + 1, 3, s__["salon_position"])
except:
print(my_id__)
w.save("/Users/sunyihuan/Desktop/{}近30天完成订单发型师名单（前100）.xls".format(day_time))
}
}
],
"should": []
}
},
"sort": {
"action_timestamp": { # 根据action_timestamp字段升序排序
"order": "desc" # asc升序，desc降序
}
}
}
res = es.search(index=index, body=body) # 获取测试端数据
return res["aggregations"]['uv']['value']
if __name__ == "__main__":
index = 'user_behavior_log_prod_20180723' # 线上index
start_time = day2timestamp("2019-3-1") # 当日的日期，转化为当日0点时间戳
end_time = day2timestamp("2019-3-2") # 后一天的日期，转化为后一天0点时间戳
huanyihuan_uv = shidai_page_uv(index, start_time, end_time, "huan_yi_huan")
fenxiang_uv = shidai_page_uv(index, start_time, end_time,
"fen_xiang_gui_mi")
print(huanyihuan_uv)
print(fenxiang_uv)
