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ffm-baseline
Commit 424954a0 authored by 高雅喆's avatar 高雅喆
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return one day stat

parent 71498ed7
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Showing with 90 additions and 89 deletions
eda/gray_stat/grayStat.py
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......@@ -62,94 +62,95 @@ class GrayStat(object):
if __name__ == '__main__':
date_list = get_between_day('2018-08-20','2018-08-29')
for my_date in date_list:
print("开始获取ffm中的灰度非灰度比例")
start = time.time()
#1.ffm中的灰度非灰度(ios和安卓一样)：
# 灰度：_6
# 非灰度：_8
result1 = []
#1.1获取ios和android平台的数据
platforms = ['ios','android']
grays = ['6','8']
for platform in platforms:
for gray in grays:
g_class = GrayStat('diary',gray,platform,my_date)
uid_count = g_class.get_uid_count()
uid_clk_times = g_class.get_uid_clk_times()
uid_imp_times = g_class.get_uid_imp_times()
uid_clk_rate = round(uid_clk_times/uid_imp_times,4) if uid_imp_times != 0 else 0
result1.append([g_class.ndays,g_class.cid_type,platform,gray,uid_count,\
uid_clk_times,uid_imp_times,uid_clk_rate])
result1.append([g_class.ndays,g_class.cid_type,platform,'all',\
result1[-1][4]+result1[-2][4],\
result1[-1][5]+result1[-2][5],\
result1[-1][6]+result1[-2][6],\
round((result1[-1][5]+result1[-2][5])/(result1[-1][6]+result1[-2][6]),4)]) if (result1[-1][6]+result1[-2][6]) != 0 else 0
#1.2获取所有平台的数据
labels = ['6','8','all']
for i in range(3):
result1.append([g_class.ndays,g_class.cid_type,'all',labels[i],\
result1[i][4]+result1[i+3][4],\
result1[i][5]+result1[i+3][5],\
result1[i][6]+result1[i+3][6],\
round((result1[i][5]+result1[i+3][5])/(result1[i][6]+result1[i+3][6]),4)]) if (result1[i][6]+result1[i+3][6]) !=0 else 0
#1.3把一天所有的数据存入文件
output1 = OUTPUT_PATH + "gray_ffm.csv"
with open(output1,'a+') as f:
for line in result1:
line = [str(i) for i in line]
str_line = ','.join(line) + '\n'
f.write(str_line)
#2.实际中的灰度非灰度：
# ios：
# 灰度：6|8
#非灰度：^68
# android：
# 灰度：0|1|2|6|8
#非灰度：^01268
print("开始获取实际中的灰度非灰度比例")
result2 = []
#2.1获取ios和android平台的数据
platforms = ['ios','android']
for platform in platforms:
#TODO 对于(安卓灰度放到 0 1 2 6 8；iOS灰度保持 6 8)问题，做一个id判断即可
if platform == 'ios':
grays = ['6|8','^68']
else:
grays = ['0|1|2|6|8','^01268']
for gray in grays:
g_class = GrayStat('diary',gray,platform,my_date)
uid_count = g_class.get_uid_count()
uid_clk_times = g_class.get_uid_clk_times()
uid_imp_times = g_class.get_uid_imp_times()
uid_clk_rate = round(uid_clk_times/uid_imp_times,4) if uid_imp_times != 0 else 0
result2.append([g_class.ndays,g_class.cid_type,platform,gray,uid_count,\
uid_clk_times,uid_imp_times,uid_clk_rate])
result2.append([g_class.ndays,g_class.cid_type,platform,'all',\
result2[-1][4]+result2[-2][4],\
result2[-1][5]+result2[-2][5],\
result2[-1][6]+result2[-2][6],\
round((result2[-1][5]+result2[-2][5])/(result2[-1][6]+result2[-2][6]),4)]) if (result2[-1][6]+result2[-2][6]) != 0 else 0
#2.2获取所有平台的数据
labels = ['gray','not gray','all']
for i in range(3):
result2.append([g_class.ndays,g_class.cid_type,'all',labels[i],\
result2[i][4]+result2[i+3][4],\
result2[i][5]+result2[i+3][5],\
result2[i][6]+result2[i+3][6],\
round((result2[i][5]+result2[i+3][5])/(result2[i][6]+result2[i+3][6]),4)]) if (result2[i][6]+result2[i+3][6]) !=0 else 0
#2.3把一天所有的数据写入文件
output2 = OUTPUT_PATH + "gray_all.csv"
with open(output2,'a+') as f:
for line in result2:
line = [str(i) for i in line]
str_line = ','.join(line) + '\n'
f.write(str_line)
end = time.time()
print("程序执行时间：{}s".format(end-start))
# date_list = get_between_day('2018-08-20','2018-08-29')
# for my_date in date_list:
print("开始获取ffm中的灰度非灰度比例")
start = time.time()
#1.ffm中的灰度非灰度(ios和安卓一样)：
# 灰度：_6
# 非灰度：_8
result1 = []
#1.1获取ios和android平台的数据
platforms = ['ios','android']
grays = ['6','8']
for platform in platforms:
for gray in grays:
g_class = GrayStat('diary',gray,platform)
uid_count = g_class.get_uid_count()
uid_clk_times = g_class.get_uid_clk_times()
uid_imp_times = g_class.get_uid_imp_times()
uid_clk_rate = round(uid_clk_times/uid_imp_times,4) if uid_imp_times != 0 else 0
result1.append([g_class.ndays,g_class.cid_type,platform,gray,uid_count,\
uid_clk_times,uid_imp_times,uid_clk_rate])
result1.append([g_class.ndays,g_class.cid_type,platform,'all',\
result1[-1][4]+result1[-2][4],\
result1[-1][5]+result1[-2][5],\
result1[-1][6]+result1[-2][6],\
round((result1[-1][5]+result1[-2][5])/(result1[-1][6]+result1[-2][6]),4)]) if (result1[-1][6]+result1[-2][6]) != 0 else 0
#1.2获取所有平台的数据
labels = ['6','8','all']
for i in range(3):
result1.append([g_class.ndays,g_class.cid_type,'all',labels[i],\
result1[i][4]+result1[i+3][4],\
result1[i][5]+result1[i+3][5],\
result1[i][6]+result1[i+3][6],\
round((result1[i][5]+result1[i+3][5])/(result1[i][6]+result1[i+3][6]),4)]) if (result1[i][6]+result1[i+3][6]) !=0 else 0
#1.3把一天所有的数据存入文件
output1 = OUTPUT_PATH + "gray_ffm.csv"
with open(output1,'a+') as f:
for line in result1:
line = [str(i) for i in line]
str_line = ','.join(line) + '\n'
f.write(str_line)
#2.实际中的灰度非灰度：
# ios：
# 灰度：6|8
#非灰度：^68
# android：
# 灰度：0|1|2|6|8
#非灰度：^01268
print("开始获取实际中的灰度非灰度比例")
result2 = []
#2.1获取ios和android平台的数据
platforms = ['ios','android']
for platform in platforms:
#TODO 对于(安卓灰度放到 0 1 2 6 8；iOS灰度保持 6 8)问题，做一个id判断即可
if platform == 'ios':
grays = ['6|8','^68']
else:
grays = ['0|1|2|6|8','^01268']
for gray in grays:
g_class = GrayStat('diary',gray,platform)
uid_count = g_class.get_uid_count()
uid_clk_times = g_class.get_uid_clk_times()
uid_imp_times = g_class.get_uid_imp_times()
uid_clk_rate = round(uid_clk_times/uid_imp_times,4) if uid_imp_times != 0 else 0
result2.append([g_class.ndays,g_class.cid_type,platform,gray,uid_count,\
uid_clk_times,uid_imp_times,uid_clk_rate])
result2.append([g_class.ndays,g_class.cid_type,platform,'all',\
result2[-1][4]+result2[-2][4],\
result2[-1][5]+result2[-2][5],\
result2[-1][6]+result2[-2][6],\
round((result2[-1][5]+result2[-2][5])/(result2[-1][6]+result2[-2][6]),4)]) if (result2[-1][6]+result2[-2][6]) != 0 else 0
#2.2获取所有平台的数据
labels = ['gray','not gray','all']
for i in range(3):
result2.append([g_class.ndays,g_class.cid_type,'all',labels[i],\
result2[i][4]+result2[i+3][4],\
result2[i][5]+result2[i+3][5],\
result2[i][6]+result2[i+3][6],\
round((result2[i][5]+result2[i+3][5])/(result2[i][6]+result2[i+3][6]),4)]) if (result2[i][6]+result2[i+3][6]) !=0 else 0
#2.3把一天所有的数据写入文件
output2 = OUTPUT_PATH + "gray_all.csv"
with open(output2,'a+') as f:
for line in result2:
line = [str(i) for i in line]
str_line = ','.join(line) + '\n'
f.write(str_line)
end = time.time()
print("程序执行时间：{}s".format(end-start))
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