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7_2_manydicts_server.py
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7_2_manydicts_server.py
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# encoding: utf-8
'''
Created on 2017年6月19日
@author: c
'''
import csv
import numpy as np
import gc
import pandas as pd
# 生成转化率特征：交叉统计
def con_two_dict(dic1,dic2):
dic=[]
for item in dic1:
dic.append(item.copy())
for i in range(0,len(dic)):
for k in dic2[i].keys():
if dic[i].__contains__(k):
dic[i][k]=np.add(dic[i][k],dic2[i][k])
else:
dic[i][k]=dic2[i][k]
return dic
def proc(csv_na,con):
dicts=[]
for i in range(0,len(con)):
dicts.append(dict())
sum=0
f=csv.DictReader(open(csv_na))
for rec in f:
rec['single']='1'
#print(csv_na,rec['clickTime'])
label=int(rec['label'])
for i in range(0,len(con)):
k=rec[con[i][0]]+'#'+rec[con[i][1]]
if dicts[i].__contains__(k):
dicts[i][k]=np.add(dicts[i][k],[label,1])
else:
dicts[i][k]=[label,1]
sum+=1
return dicts,sum
def merge(csv_na,con,fd,sum,ds):
f=csv.DictReader(open(csv_na))
fn=f.fieldnames
for i in range(0,len(con)):
k=con[i][0]+'#'+con[i][1]+'cvr'
fn.append(k)
k=con[i][0]+'#'+con[i][1]+'clt'
fn.append(k)
wrt=csv.DictWriter(open('final'+csv_na,'wb'),fieldnames=fn)
wrt.writeheader()
for rec in f:
time=int(rec['clickTime'])
if time>=30000000:
break
if time<27000000:
continue
rec['single']='1'
for i in range(0,len(con)):
b=1.0*sum/ds[i]
k=rec[con[i][0]]+'#'+rec[con[i][1]]
key=con[i][0]+'#'+con[i][1]+'cvr'
tup=fd[i].get(k,[0,0])
if tup[1]==0:
rec[key]=0.027
else:
rec[key]=1.0*(0.027*b+tup[0])/(b+tup[1])
key=con[i][0]+'#'+con[i][1]+'clt'
rec[key]=tup[1]
rec.pop('single')
wrt.writerow(rec)
def mergetest(csv_na,con,fd,sum,ds):
f=csv.DictReader(open(csv_na))
fn=f.fieldnames
for i in range(0,len(con)):
k=con[i][0]+'#'+con[i][1]+'cvr'
fn.append(k)
k=con[i][0]+'#'+con[i][1]+'clt'
fn.append(k)
wrt=csv.DictWriter(open('final'+csv_na,'wb'),fieldnames=fn)
wrt.writeheader()
for rec in f:
rec['single']='1'
for i in range(0,len(con)):
b=1.0*sum/ds[i]
k=rec[con[i][0]]+'#'+rec[con[i][1]]
key=con[i][0]+'#'+con[i][1]+'cvr'
tup=fd[i].get(k,[0,0])
if tup[1]==0:
rec[key]=0.027
else:
rec[key]=1.0*(0.027*b+tup[0])/(b+tup[1])
key=con[i][0]+'#'+con[i][1]+'clt'
rec[key]=tup[1]
rec.pop('single')
wrt.writerow(rec)
# content=[['adID','connectionType',0],['camgaignID','connectionType',0],['marriageStatus','residence',0],
# ['positionID','telecomsOperator',0],['userID','positionID',0],['creativeID','positionID',0],['userID','connectionType',0],['userID','telecomsOperator',0],
# ['camgaignID','positionID',0],['positionID','single',0],['userID','single',0],['advertiserID','single',0],['appID','positionID',0],
# ['positionID','connectionType',0],['userID','positionID',1],['userID','appID',1],['appID','positionID',1]]
content=[]
A=['userID', 'age', 'gender', 'education','connectionType', 'telecomsOperator','marriageStatus', 'haveBaby', 'hometown', 'residence'] #10
B=['creativeID', 'adID', 'camgaignID', 'advertiserID', 'appID', 'appPlatform', 'appCategory'] #7
C=['positionID', 'sitesetID', 'positionType'] #3
D=['age', 'gender', 'education','marriageStatus', 'haveBaby']
for a in A:
item=[a,'single']
content.append(item)
for b in B:
item=[b,'single']
content.append(item)
for c in C:
item=[c,'single']
content.append(item)
for a in A:
for b in B:
item=[a,b]
content.append(item)
for a in A:
for c in C:
item=[a,c]
content.append(item)
for b in B:
for c in C:
item=[b,c]
content.append(item)
for ix,d in enumerate(D):
for iy,dd in enumerate(D):
if ix<iy:
item=[d,dd]
content.append(item)
print (content)
print (len(content))
dicts1,sum1=proc('ttr0.csv',content)
print(11)
dicts2,sum2=proc('ttr1.csv',content)
print(12)
dicts3,sum3=proc('ttr2.csv',content)
print(13)
dicts4,sum4=proc('ttr3.csv',content)
print(14)
dicts5,sum5=proc('ttr4.csv',content)
print(15)
# findict5=con_two_dict(con_two_dict(con_two_dict(dicts1,dicts2),dicts3),dicts4)
# dicsum5=[len(dc.keys()) for dc in findict5]
# print (dicsum5)
# merge('ttr4.csv',content,findict5,sum1+sum2+sum3+sum4,dicsum5)
# print(25)
# del findict5
# gc.collect()
# findict4=con_two_dict(con_two_dict(con_two_dict(dicts1,dicts2),dicts3),dicts5)
# dicsum4=[len(dc.keys()) for dc in findict4]
# print (dicsum4)
# merge('ttr3.csv',content,findict4,sum1+sum2+sum3+sum5,dicsum4)
# print(24)
# del findict4
# gc.collect()
# findict3=con_two_dict(con_two_dict(con_two_dict(dicts1,dicts2),dicts4),dicts5)
# dicsum3=[len(dc.keys()) for dc in findict3]
# merge('ttr2.csv',content,findict3,sum1+sum2+sum5+sum4,dicsum3)
# print(23)
# del findict3
# gc.collect()
# findict2=con_two_dict(con_two_dict(con_two_dict(dicts1,dicts3),dicts4),dicts5)
# dicsum2=[len(dc.keys()) for dc in findict2]
# merge('ttr1.csv',content,findict2,sum1+sum5+sum3+sum4,dicsum2)
# print(22)
# del findict2
# gc.collect()
findict1=con_two_dict(con_two_dict(con_two_dict(dicts5,dicts2),dicts3),dicts4)
# dicsum1=[len(dc.keys()) for dc in findict1]
# merge('ttr0.csv',content,findict1,sum5+sum2+sum3+sum4,dicsum1)
print(21)
del dicts2
del dicts3
del dicts4
del dicts5
gc.collect()
totaldicts=con_two_dict(findict1,dicts1)
dicsum0=[len(dc.keys()) for dc in totaldicts]
del findict1
del dicts1
gc.collect()
mergetest('test.csv',content,totaldicts,sum1+sum2+sum3+sum4+sum5,dicsum0)
print('f')
"""
def proc1(csv_na,wr):
f=csv.DictReader(open(csv_na))
for rec in f:
t=int(rec['clickTime'])
wr.writerow(rec)
fn=csv.DictReader(open('finalttr0.csv'))
fn=fn.fieldnames
writer=csv.DictWriter(open('finalttr_all.csv','wb'),fieldnames=fn)
writer.writeheader()
proc1('finalttr0.csv', writer)
proc1('finalttr1.csv', writer)
proc1('finalttr2.csv', writer)
proc1('finalttr3.csv', writer)
proc1('finalttr4.csv', writer)
f=pd.read_csv('finalttr_all.csv')
f=f.sort_values('ins')
print (f.head(5))
f.to_csv('finalttr_all_sort.csv',index=False)
"""