# coding:utf-8
import sys
import csv
import re
import read_result_of_wos_list as rrw
import create_wos_list as cwl
import write_to_wos_result as wtwr
import time
import os
if __name__ == '__main__':
wtwr.write_to_wos_result(1,1980, 'COMMUNICATIONS IN MATHEMATICAL PHYSICS')
os.system('python copy_result_to_list.py')
def return_conditions(target={}, author_dict={}, text_name='', paper_index=0):
# 著者の名前によるマッチング==========================
if author_dict['faculty_name'].upper() not in target['AU'].upper():
#print "イニシャルが一致しません"
return
else:
#print "AUが一致しました"
if (author_dict['full_name'].upper() not in target['AF'].upper()) and (author_dict['faculty_name'].upper() not in target['AF'].upper()):
#print "名前が正しく有りません"
return
elif author_dict['full_name'].upper() in target['AF'].upper():
#print "フルネームが一致しました"
if (re.search(author_dict['faculty_name'].upper(), str(target['RP']).upper())):
#print "RP_check1"
RP_check(str(target['RP']), str(target['C1']), paper_index, af_tokyo, af_phys, af_tokyo_dep, tmp_dep)
##print "RP_matching_flag: " + str(RP_matching_flag[paper_index])
if (not RP_matching_flag[paper_index] == 1) and (not C1_matching_flag[paper_index] == 1):
return
else:
#print "C1_check1"
C1_check(str(target['C1']), paper_index, af_tokyo, af_phys, af_tokyo_dep, tmp_dep)
##print "C1_matching_flag: " + str(C1_matching_flag[paper_index])
if (not C1_matching_flag[paper_index] == 1):
return
full_match[paper_index] = 1
elif (author_dict['faculty_name'].upper() in target['AF'].upper()):
#print "短縮名が一致"
if (re.search(author_dict['faculty_name'].upper(), str(target['RP']).upper())):
#print "RP_check2"
RP_check(str(target['RP']), str(target['C1']), paper_index, af_tokyo, af_phys, af_tokyo_dep, tmp_dep)
##print "RP_matching_flag: " + str(RP_matching_flag[paper_index])
if (not RP_matching_flag[paper_index] == 1) and (not C1_matching_flag[paper_index] == 1):
#print "だみだ"
return
else:
#print "C1_check2"
C1_check(str(target['C1']), paper_index, af_tokyo, af_phys, af_tokyo_dep, tmp_dep)
##print "C1_matching_flag: " + str(C1_matching_flag[paper_index])
if (not C1_matching_flag[paper_index] == 1):
#print "だみだみだ"
return
full_match[paper_index] = 0
# 論文執筆の時期によるマッチング==========================
##print "==========="
##print "AF_TOKYO_DEP: " + af_tokyo_dep[paper_index]
year_NA_flag[paper_index] = 0
if author_dict['start_year'] == "" or author_dict['start_year'] == "NA" or author_dict['end_year'] == "" or author_dict['end_year'] == "NA":
author_dict['start_year'] = 'NA'
author_dict['end_year'] = 'NA'
year_NA_flag[paper_index] = 1
# #print "NAでだめですた"
wtwr.write_to_wos_result(author_dict['id'], target['PY'], target['SO'], year_NA_flag[paper_index])
os.system('python copy_result_to_list.py')
return
elif 'LC' in author_dict['start_year']:
author_dict['start_year'] = '1965'
elif 'RC' in author_dict['end_year']:
author_dict['end_year'] = '2015'
if year_NA_flag[paper_index] == 0:
# #print "TimeSpanはとりますた"
time_span = range(int(author_dict['start_year']), int(author_dict['end_year'])+1)
# 著者が研究機関に所属した間に当該論文が出稿されたかのチェック==========================
if int(target['PY']) not in time_span:
#print "所属期間内に論文が出ていません"
py_match[paper_index] = 0
# #print "TARGET_PY: " + target['PY']
# print time_span
# #print "TARGET_TI: " + target['TI']
return
else:
#print "所属期間内に論文がでました"
py_match[paper_index] = 1
# 執筆されたタイミングで著者の所属機関が論文の在籍者の所属期間と一致するかのチェック==========================
##print "Author_dict['dep'] : "+author_dict['dep']
if author_dict['dep'] == "" or author_dict['dep'] == "NA":
##print "Author_dictが空です。"
dep_units[paper_index] = None
dep_match[paper_index] = 'NA' # 所属期間がマッチしたか如何ではなく、データの有無で判別する場合はNA
wtwr.write_to_wos_result(author_dict['id'], target['PY'], target['SO'], year_NA_flag[paper_index], dep_match[paper_index])
os.system('python copy_result_to_list.py')
return
else:
departure_matching(author_dict, af_tokyo_dep, dep_match, paper_index)
##print "dep_match: " + str(dep_match[paper_index])
# #print "TARGET_TI: " + target['TI']
# #print "==========="
if dep_match[paper_index] == None:
#print "論文執筆時の所属機関が不適切です"
return
#print "論文執筆時の所属機関が適切です"
if af_tokyo[paper_index] and py_match[paper_index] and (dep_match[paper_index] == "MATCHED"):
global record_num
record_num = record_num + 1
# contribution_weightを測定
# 著者リストの配列を作る。
paper_AU_list = target['AU'].split(';')
# 著者リストを大文字にした配列を作る
alist1 = map(lambda x:x.upper(), paper_AU_list)
# alist2のために、大文字の配列をコピーする
# これはalist2のためにしか使われない。
sub_alist1 = map(lambda x:x.upper(), paper_AU_list)
sub_alist1.pop(0)
# alist2の２番目の配列（先頭を消去した配列）を作る
alist2_second_factor = sub_alist1
if alist2_second_factor is None:
# alist2_second_factorが空の配列[]の時、cweightの処理が止まるから、固定値を返す。
contribution_weight_calc_result = 1.0
else:
##print "contribution_weight not 1.0"
alist2 = [[alist1[0]], alist2_second_factor]
contribution_weight_calc_result = cw.cweight(cw.order_pattern(alist1), alist2, author_dict['faculty_name'].upper())
tf=open('result_texts/results_'+author_dict['faculty_name']+'.txt','a')
tf.write('\n')
tf.write('\n')
tf.write('==================================================\n')
tf.write('\n')
tf.write('\n')
tf.write('\n')
tf.write('RECORD_NUM =>'+str(record_num)+'\n')
tf.write('FACULTY_NAME =>'+author_dict['faculty_name']+'\n')
tf.write('F_ID =>'+author_dict['id']+'\n')
tf.write('FULL_MATCH =>'+str(full_match[paper_index])+'\n')
tf.write('AF_TOKYO =>'+str(af_tokyo[paper_index])+'\n')
tf.write('AF_TOKYO_DEP =>'+str(af_tokyo_dep[paper_index])+'\n')
tf.write('AF_PHYS =>'+str(af_phys[paper_index])+'\n')
tf.write('PY_MATCH =>'+str(py_match[paper_index])+'\n')
tf.write('DEP_MATCH =>'+str(dep_match[paper_index])+'\n')
tf.write('PY =>'+target['PY']+'\n')
tf.write('PT =>'+target['PT']+'\n')
tf.write('SO =>'+target['SO']+'\n')
tf.write('TI =>'+target['TI']+'\n')
tf.write('RP =>'+str(target['RP']).upper()+'\n')
tf.write('CW =>'+str(contribution_weight_calc_result)+'\n')
tf.write('FILE_NAME =>'+str(text_name)+'\n')
tf.write('PAPER_ID =>'+str(paper_index)+'\n')
tf.close()
# wos_result.csvにその年の著者の論文出稿数の単純和と、インパクトファクターを書き込む
# その後、wos_list.csvとwos_result.csvの内容を一致させる
wtwr.write_to_wos_result(author_dict['id'], target['PY'], target['SO'], year_NA_flag[paper_index], dep_match[paper_index], contribution_weight_calc_result)
os.system('python copy_result_to_list.py')
# unique_list（学科のリスト）を作成する
if type(af_tokyo_dep[paper_index])==str:
unique_dep_list.append(af_tokyo_dep[paper_index])
else:
for i in af_tokyo_dep[paper_index]:
unique_dep_list.append(i)
