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run_all.py
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from bs4 import BeautifulSoup
import newspaper
import re
import time
from random import randint
from time import sleep
def clean_split_summary(summary):
true_summary = summary
if 4 * " " in summary:
max_length = 0
for candidate_summary in summary.split(4 * " "):
if len(candidate_summary.split()) > max_length:
true_summary = candidate_summary
max_length = len(candidate_summary.split())
return true_summary
def get_topic_from_url(url, lang):
if lang == 'de':
if 'www.sueddeutsche.de' in url:
topic = url.split('/')[3]
if lang == 'es':
if 'elpais.com' in url:
topic = url.split('/')[3] + ' ' + url.split('/')[7]
if lang == 'tu':
if 'www.internethaber.com' in url:
if len(url.split('/')) > 4:
topic = url.split('/')[3] + ' ' + url.split('/')[7]
else:
topic = 'unknown'
if lang == 'ru':
if 'www.mk.ru' in url:
topic = url.split('/')[3]
if lang == 'fr':
if 'www.lemonde.fr' in url or 'abonnes.lemonde.fr' in url:
topic = url.split('/')[3]
elif 'blog.lemonde.fr' in url:
topic = 'blog'
elif 'www.courrierinternational.com' in url:
topic = 'courrierinternational'
else:
topic = 'unknown'
return topic
def get_newspaper_content(url, lang, date_archive='20200303'):
web_archive_url = f'https://web.archive.org/web/{date_archive}/'
article = newspaper.Article(web_archive_url + url)
article.download()
article.parse()
id_hash = article.link_hash
title = article.title
text = article.text
summary = article.meta_description
if lang in ['fr']:
if 'Lire :' in text[:10]:
text = text.split('Lire :')[0]
# Remove the duplicated summary
if summary in text:
text = text[len(summary):]
if lang in ['ru']:
soup = BeautifulSoup(article.html, 'html.parser')
summary = soup.find(class_="second_title").text
if soup.find(class_="inread-content"):
text = soup.find(class_="inread-content").text
else:
text = text[len(title):].strip()[len(summary):]
if lang in ['tu']:
text = text.replace(summary, "")
return article, text, summary, title
def get_clean_content(url, lang):
article, text, summary, title = get_newspaper_content(url, lang)
topic = get_topic_from_url(url, lang)
base_processing = lambda x: re.sub('\s+', ' ', re.sub('\n+', ' ', clean_split_summary(x.strip())))
summary, title, text = base_processing(summary), base_processing(title), base_processing(text)
return text, summary, title, topic
def main():
path_urls = 'data/urls/%s.%s.txt.urls'
path_output = 'data/processed/%s_%s.txt'
path_output_bug = 'data/processed/%s_%s.errors.txt'
sep = '\t'
for lang in ['ru', 'tu', 'de', 'fr', 'es']:
for mode in ['train', 'test', 'val']:
with open(path_urls % (mode, lang), 'r') as f_urls, \
open(path_output % (lang, mode), 'w') as f_w, \
open(path_output_bug % (lang, mode), 'w') as f_w_bug:
lines = f_urls.readlines()
start = time.time()
url_in_error = 0
for i, line in enumerate(lines):
line = line.strip().split('\t')
url, url_date = line[0], line[1]
try:
text, summary, title, topic = get_clean_content(url, lang)
f_w.write(
url + sep + url_date + sep + text + sep + summary + sep + title + sep + topic + sep + '\n')
except:
f_w_bug.write(url + '\n')
url_in_error += 1
if i % 15 == 0:
hours, rem = divmod(time.time() - start, 3600)
minutes, seconds = divmod(rem, 60)
duration = "{:0>2}:{:0>2}:{:05.2f}".format(int(hours), int(minutes), seconds)
print(lang, mode, ' | total #', len(lines), ' | processed:', i, ' | error:', url_in_error, ' | ', duration)
sleep(randint(1,100)/50)
if i == 31:
break
if __name__ == '__main__':
main()