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foo.py
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# sys.argv <-
import sys
import pandas as pd
import requests
from bs4 import BeautifulSoup
from tqdm import tqdm
import time
import datetime
d_today = datetime.date.today() # 오늘 날짜
#!pip install --upgrade pip
#!pip install JPype1
#!pip install konlpy
import numpy as np
from konlpy.tag import Okt
from konlpy.tag import Kkma
from threading import Thread
from konlpy.tag import Twitter
from collections import Counter
import jpype
###
import matplotlib.pyplot as plt
from pdf_reports import JupyterPDF
from IPython.display import display_html
from pdf_reports import pug_to_html, write_report
#search_word= '고구려말기' # input word -> init
def func_1(x):
return r'<a href={}>링크</a>'.format(x)
def func_2(x):
return x.split(',')[0]
def KCI(x):
x_list = []
for i in range(len(x)):
x_list.append(x[i]['alt'])
if x_list == [] :
x_list = ['학술논문']
return x_list
pg = \
'''
h1 논문 검색 결과
#sidebar: p Medbiz 논문 검색 결과를 바탕으로 만들어진 PDF 보고서 입니다.
{{ pdf_tools.dataframe_to_html(dataframe) }}
<style> h3 {margin-top: 4em;} </style>
'''
def number_to_string(dayOfWeek):
switcher = {
"최신순" : "DATE",
"조회도순": "VIEWCOUNT",
"랭킹순": "RANK",
}
return switcher.get(dayOfWeek, "nothing")
class service_crawl():
def __init__(self): # 정렬
# sys.argv[1], sys.argv[2] , sys.argv[3], sys.argv[4], sys.argv[5]
self.input_word_1 = sys.argv[1]
self.input_word_2 = sys.argv[2]
self.search_word = self.input_word_1 + ' ' + self.input_word_2
self.sort_value = sys.argv[3]
self.number_page = sys.argv[4]
self.start_point = sys.argv[5]
self.save_point = sys.argv[6]
self.pg = pg
# 정렬
# 경로 input
# 경로 output
def count_page(self):
total_url = "http://www.riss.kr/search/Search.do?isDetailSearch=N&searchGubun=true&viewYn=OP&query=%s&queryText=&iStartCount=%d&iGroupView=5&icate=all&colName=re_a_kor&exQuery=&exQueryText=&order=%s&onHanja=false&strSort=RANK&pageScale=10&orderBy=&fsearchMethod=search&isFDetailSearch=N&sflag=1&searchQuery=%s&fsearchSort=&fsearchOrder=&limiterList=&limiterListText=&facetList=&facetListText=&fsearchDB=&resultKeyword=%s&pageNumber=1&p_year1=&p_year2=&dorg_storage=&mat_type=&mat_subtype=&fulltext_kind=&t_gubun=&learning_type=&language_code=&ccl_code=&language=&inside_outside=&fric_yn=&image_yn=®nm=&gubun=&kdc=&ttsUseYn="%(self.search_word,0,"%2FDESC",self.search_word, self.search_word )
total_req = requests.get(total_url)
total_html = total_req.text
soup = BeautifulSoup(total_html, 'html.parser') # 파싱 라이브러리
total_tag = soup.select("#divContent > div > div.rightContent.wd756 > div > div.searchBox > dl > dd > span > span") #
total_page= round(int(total_tag[0].text.replace(",",""))/10) # 하위 자식태그의 텍스트까지 문자열로 반환
return total_page
def crawl_main(self):
count = 0
# 검색 페이지 수 입력
# 음수, 숫자 아닌 값에 대한 대안 추가 -> ui 단에서 처리
total = service_crawl.count_page(self)
if total ==0: # input number
num = 1
elif int(self.number_page) > int(total) :
num = int(total) # count_page(search_word)
else :
num = int(self.number_page)
for q in (range(num)): # tqdm
#time.sleep(5) #자는 코드
url = "http://www.riss.kr/search/Search.do?isDetailSearch=N&searchGubun=true&viewYn=OP&query=%s&queryText=&iStartCount=%d&iGroupView=5&icate=all&colName=re_a_kor&exQuery=&exQueryText=&order=%s&onHanja=false&strSort=%s&pageScale=10&orderBy=&fsearchMethod=search&isFDetailSearch=N&sflag=1&searchQuery=%s&fsearchSort=&fsearchOrder=&limiterList=&limiterListText=&facetList=&facetListText=&fsearchDB=&resultKeyword=%s&pageNumber=1&p_year1=&p_year2=&dorg_storage=&mat_type=&mat_subtype=&fulltext_kind=&t_gubun=&learning_type=&language_code=&ccl_code=&language=&inside_outside=&fric_yn=&image_yn=®nm=&gubun=&kdc=&ttsUseYn="%(self.search_word, q*10, "%2FDESC" ,number_to_string(self.sort_value) ,self.search_word, self.search_word )
# %(self.search_word,q*10,"%2FDESC",self.search_word, self.search_word
req = requests.get(url)
html = req.text
#print("%d페이지를 가져옴"%(q+1))
globals()['df{}'.format(q)] = pd.DataFrame()
soup = BeautifulSoup(html, 'html.parser')
title_tag = soup.select("div.cont.ml60 > p.title > a") # 제목
writer_tag = soup.select("div.cont.ml60 > p.etc > span.writer") # 저자
assigned_tag = soup.select("div.cont.ml60 > p.etc > span.assigned") # 발행기관
journal_tag = soup.select("div.cont.ml60 > p.etc > span:nth-child(4) > a") # 학술지명
agency_tag = soup.select("div.cont.ml60 > p.etc > span:nth-child(3)") # 발행년도
vo_tag = soup.select("div.cont.ml60 > p.etc > span:nth-child(5)") # 권호사항
href_tag = soup.select("div.cont.ml60 > p.title > a") # 권호사항
title_list = []
writer_list = []
assigned_list = []
journal_list = []
agency_list = []
vo_list = []
href_list =[]
green_list = []
register_list = []
for i in range(len(title_tag)):
title_list.append(title_tag[i].text)
try : writer_list.append(writer_tag[i].text)
except : writer_list.append("")
#register_list.append(register(soup.select("ul > li:nth-child(%d) > div.markW > span > img"%(i+1) ) == []))
register_list.append(KCI(soup.select("ul > li:nth-child(%d) > div.markW > span > img"%(i+1) )))
assigned_list.append(assigned_tag[i].text)
journal_list.append(journal_tag[i].text)
agency_list.append(agency_tag[i].text)
try : vo_list.append(vo_tag[i].text)
except : vo_list.append("")
href_list.append("http://www.riss.kr" + href_tag[i].get("href"))
j = i+1
# 초록 추가
green_tag = soup.select("li:nth-child(%d) > div.cont.ml60 > p.preAbstract"%j)
try :
green_list.append(green_tag[0].text)
except :
green_list.append("-")
globals()['df{}'.format(q)]['제목'] = title_list
globals()['df{}'.format(q)]['저자'] = writer_list
globals()['df{}'.format(q)]['등재여부'] = register_list # 등재여부 추가
globals()['df{}'.format(q)]['발행기관'] = assigned_list
globals()['df{}'.format(q)]['학술지명'] = journal_list
globals()['df{}'.format(q)]['발행년도'] = agency_list
globals()['df{}'.format(q)]['권호사항'] = vo_list
globals()['df{}'.format(q)]['링크'] = href_list
globals()['df{}'.format(q)]['초록'] = green_list
#print('-- 데이터프레임 만들기 --')
prev = globals()['df{}'.format(q)]
try:
last = pd.concat( [ last, prev] , axis =0 )
#print('-- 데이터프레임 합치기 --')
except:
last = globals()['df{}'.format(q)]
df_last = last.reset_index(drop=True)
df_replaced = df_last.replace([], '')
df_test = pd.DataFrame(columns=['대분류', '소분류' ,'제목', '년도', '저자', '구분', '등재'])#,'저자', '요약', '링크'])
df_test['제목'] = df_replaced.제목.values
df_test['년도'] = df_replaced.발행년도.values
df_test['저자'] = df_replaced.저자.values
df_test['등재'] = df_replaced.등재여부.values
#df_test['요약'] = df_replaced.초록.values
#df_test['검색어'] = search_word
df_test['대분류'] = self.input_word_1
df_test['소분류'] = self.input_word_2
df_test['링크'] = df_replaced.링크.apply(func_1).values
df_test['저자'] = df_test['저자'].apply(func_2)
ndarray_name = df_replaced.제목.values
ndarray_green = df_replaced.초록.values
for i in range(len(df_test['등재'])):
df_test['등재'][i] = ','.join(df_test['등재'][i])
df_test['구분'] = "논문"
df_test = df_test.replace('', np.nan)
#df_test = df_test.dropna(axis = 0)
return df_test
def pdf_page(self): # 경로설정
f = open( self.start_point + '/' + "test.pug", 'w')
f.write(self.pg)
f.close()
html = pug_to_html("test.pug", dataframe=service_crawl.crawl_main(self))
#print(len(service_crawl.crawl_main(self)))
write_report(html, self.save_point + '/' + "pdf_report.pdf")
#JupyterPDF("pdf_report.pdf")
def crawl(self):
#print('검색어 : ' , self.search_word)
#print('정렬 : @@@@ ')
#print('모든 페이지 수 : ' ,service_crawl.count_page(self))
print(self.sort_value)
service_crawl.pdf_page(self)
def main():
p1 = service_crawl() # sys.argument
p1.crawl() # 합치고 정렬 후에 pdf로 저장 or 따로 구분지어 나오게 저장
if __name__ == "__main__":
main()