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createFeature17.py
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createFeature17.py
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# coding:utf-8
import csv, time,sys, util,com
import numpy as np
# 特征生成文件2
def IncDict(d, key):
if key in d:
d[key] = d[key] + 1
else:
d[key] = 1
def GetDict(d, key):
if key in d:
return (d[key])
else:
return 0
def DiffTime(t1, t2):
t1 = time.mktime(time.strptime(t1,'%Y-%m-%d %H'))
t2 = time.mktime(time.strptime(t2,'%Y-%m-%d %H'))
return t1 - t2
def GenFeature(finput='user_action_train.csv', foutput = 'feature.csv', lastday = '2014-12-18'):
# 细化行为特征
# 用户买的物品数目
#
user_item_last2day_add_car = dict()
user_item_last2day_click = dict()
user_item_last2day_star = dict()
user_item_last2day_buy = dict()
user_item_last3day_add_car = dict()
user_item_last3day_click = dict()
user_item_last3day_star = dict()
user_item_last3day_buy = dict()
user_item_1212_add_car = dict()
user_item_1212_click = dict()
user_item_1212_star = dict()
user_item_1212_buy = dict()
user_items = set() # 其实是用户物品对
item_cat = dict()
with open(finput, 'rb') as f:
reader = csv.reader(f, delimiter=',')
header = reader.next()
print header
last2day = util.LastNDay(lastday,2)[:10]
last3day = util.LastNDay(lastday,3)[:10]
i = 0
for row in reader:
if row[5] > '%s 23' % lastday : # 未来的数据
continue
uid = row[0]
tid = row[1]
cid = row[4]
t = row[5]
utid = '%s_%s' % (uid, tid)
ucid = '%s_%s' % (uid, cid)
user_items.add('%s_%s' % (uid,tid))
item_cat[tid] = cid
#diff_time = DiffTime('%s 00' % lastday, row[5]) + 24*3600
if t[:10]==last2day:
if row[2]=='1': #click
IncDict(user_item_last2day_click, utid)
if row[2]=='2': #star
IncDict(user_item_last2day_star, utid)
if row[2]=='3': # add car
IncDict(user_item_last2day_add_car, utid)
if row[2] == '4': # buy
IncDict(user_item_last2day_buy, utid)
elif t[:10]==last3day:
if row[2]=='1': #click
IncDict(user_item_last3day_click, utid)
if row[2]=='2': #star
IncDict(user_item_last3day_star, utid)
if row[2]=='3': # add car
IncDict(user_item_last3day_add_car, utid)
if row[2] == '4': # buy
IncDict(user_item_last3day_buy, utid)
elif t[:10]=='2014-12-12':
if row[2]=='1': #click
IncDict(user_item_1212_click, utid)
if row[2]=='2': #star
IncDict(user_item_1212_star, utid)
if row[2]=='3': # add car
IncDict(user_item_1212_add_car, utid)
if row[2] == '4': # buy
IncDict(user_item_1212_buy, utid)
i = i + 1
if i%100000==0:
#break
print 'processed %d scores!' % i
# user feature
fd = open(foutput,'wb')
fw = csv.writer(fd, delimiter=',')
fw.writerow(['user_id', 'item_id',
"user_item_last2day_click",
"user_item_last2day_star",
"user_item_last2day_add_car",
"user_item_last2day_buy",
"user_item_last3day_click",
"user_item_last3day_star",
"user_item_last3day_add_car",
"user_item_last3day_buy",
"user_item_1212_click",
"user_item_1212_star",
"user_item_1212_add_car",
"user_item_1212_buy",
])
i = 0
for key in user_items:
uid, tid = key.split('_')
cid = item_cat[tid]
utid = '%s_%s' % (uid, tid)
ucid = '%s_%s' % (uid, cid)
data = [uid, tid,
GetDict(user_item_last2day_click, utid),
GetDict(user_item_last2day_star, utid),
GetDict(user_item_last2day_add_car, utid),
GetDict(user_item_last2day_buy, utid),
GetDict(user_item_last3day_click, utid),
GetDict(user_item_last3day_star, utid),
GetDict(user_item_last3day_add_car, utid),
GetDict(user_item_last3day_buy, utid),
GetDict(user_item_1212_click, utid),
GetDict(user_item_1212_star, utid),
GetDict(user_item_1212_add_car, utid),
GetDict(user_item_1212_buy, utid),
]
fw.writerow(data)
i = i + 1
if i%100000==0:
print 'write %d rows.' % i
fd.close()
if __name__ == '__main__':
com.CreateFeature(__file__, sys.argv[1])