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#!/usr/bin/env python | ||
# vim:fileencoding=utf-8 | ||
# License: GPLv3 Copyright: 2020, Kovid Goyal <kovid at kovidgoyal.net> | ||
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from __future__ import absolute_import, division, print_function, unicode_literals | ||
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import json | ||
import time | ||
from datetime import datetime, timedelta | ||
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from calibre.ebooks.BeautifulSoup import BeautifulSoup | ||
from calibre.web.feeds.news import BasicNewsRecipe | ||
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country = 'us' | ||
country_defs = { | ||
'us': ('www.reuters.com', { | ||
'World': 'world', | ||
'Business': 'business', | ||
'Markets': 'markets', | ||
'Tech': 'technology', | ||
# 'Sports': 'lifestyle/sports', | ||
'Wealth': 'markets/wealth', | ||
}) | ||
} | ||
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def prefixed_classes(classes): | ||
q = frozenset(classes.split(' ')) | ||
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def matcher(x): | ||
if x: | ||
for candidate in frozenset(x.split()): | ||
for x in q: | ||
if candidate.startswith(x): | ||
return True | ||
return False | ||
return {'attrs': {'class': matcher}} | ||
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def extract_article_list(raw): | ||
if isinstance(raw, bytes): | ||
raw = raw.decode('utf-8') | ||
# open('/t/raw.html', 'w').write(raw) | ||
idx = raw.index(';Fusion.globalContent={') | ||
d = raw[idx:] | ||
d = d[d.index('{'):] | ||
data = json.JSONDecoder().raw_decode(d)[0] | ||
# from pprint import pformat | ||
# print(pformat(data), file=open('/t/raw.py', 'w')) | ||
k = 'arcResult' if 'arcResult' in data else 'result' | ||
for article in data[k]['articles']: | ||
yield {'title': article['title'], 'description': article['description'], 'url': article['canonical_url']} | ||
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# if __name__ == '__main__': | ||
# print(list(extract_article_list(open('/t/World News _ Latest Top Stories _ Reuters.html').read()))) | ||
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def p_dt(x): | ||
dt = datetime.fromisoformat(x[:-1]) + timedelta(seconds=time.timezone) | ||
return dt.strftime('%b %d, %Y, %I:%M %p') | ||
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class Reuters(BasicNewsRecipe): | ||
title = 'Reuters' | ||
description = 'News from all over' | ||
__author__ = 'Kovid Goyal' | ||
__author__ = 'unkn0wn' | ||
description = ( | ||
'Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, ' | ||
'reaching billions of people worldwide every day. Reuters provides business, financial, national and international ' | ||
'news to professionals via desktop terminals, the world’s media organizations, industry events and directly to consumers.' | ||
) | ||
masthead_url = 'https://www.reutersprofessional.com/wp-content/uploads/2024/03/primary-logo.svg' | ||
language = 'en' | ||
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keep_only_tags = [ | ||
prefixed_classes('article-body__container__ article-header__container__'), | ||
] | ||
remove_tags = [ | ||
prefixed_classes( | ||
'context-widget__tabs___ article-header__toolbar__ read-next-mobile__container__ toolbar__container__ button__link__' | ||
' ArticleBody-read-time-and-social Slideshow-expand-button- TwoColumnsLayout-footer- RegistrationPrompt__container___' | ||
' SocialEmbed__inner___ trust-badge author-bio__social__ with-spinner__spinner__ author-bio__author-image__' | ||
), | ||
dict(name=['button', 'link', 'svg']), | ||
] | ||
encoding = 'utf-8' | ||
oldest_article = 2 # days | ||
no_javascript = True | ||
no_stylesheets = True | ||
remove_attributes = ['style', 'height', 'width'] | ||
resolve_internal_links = True | ||
ignore_duplicate_articles = {'url', 'title'} | ||
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extra_css = ''' | ||
img { max-width: 100%; } | ||
[class^="article-header__tags__"], | ||
[class^="author-bio__author-card__"], | ||
[class^="article-header__author-date__"] { | ||
font-size:small; | ||
} | ||
[data-testid="primary-gallery"], [data-testid="primary-image"] { font-size:small; text-align:center; } | ||
.label, .auth { font-size:small; color:#202020; } | ||
.figc { font-size:small; text-align:center; } | ||
img {display:block; margin:0 auto;} | ||
''' | ||
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def parse_index(self): | ||
base, sections = country_defs[country] | ||
ans = [] | ||
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for section_title in sections: | ||
slug = sections[section_title] | ||
self.log(section_title) | ||
articles = list(self.parse_reuters_section(base, slug)) | ||
index = 'https://www.reuters.com' | ||
today = datetime.now() | ||
feed_api = index + '/arc/outboundfeeds/v3/mobile/section/{}/?from=0&size=50&outputType=json' | ||
path_api = index + '/arc/outboundfeeds/v3/mobile{}?outputType=json' | ||
sections = [ | ||
'world', 'business', 'markets','sustainability', 'legal', | ||
'breakingviews', 'technology', 'sports', 'science', 'lifestyle' | ||
] | ||
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feeds = [] | ||
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for sec in sections: | ||
section = sec.capitalize() | ||
self.log(section) | ||
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articles = [] | ||
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data = json.loads(self.index_to_soup(feed_api.format(sec), raw=True))['wireitems'] | ||
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for x in data: | ||
if x.get('wireitem_type', '') == 'story': | ||
for y in x['templates']: | ||
if y.get('type', '') == 'story': | ||
title = y['story']['hed'] | ||
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date = datetime.fromisoformat(y['story']['updated_at'][:-1]) + timedelta(seconds=time.timezone) | ||
if (today - date) > timedelta(self.oldest_article): | ||
continue | ||
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desc = y['story']['lede'] | ||
path = y['template_action'] | ||
if path.get('type', '') == 'article': | ||
url = path_api.format(path['api_path_native']) | ||
self.log(' ', title, '\n\t', desc) | ||
articles.append({'title': title, 'description':desc, 'url': url}) | ||
if articles: | ||
ans.append((section_title, articles)) | ||
if self.test and len(ans) >= self.test[0]: | ||
break | ||
return ans | ||
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def parse_reuters_section(self, base, slug): | ||
url = 'https://' + base + '/' + slug | ||
raw = self.index_to_soup(url, raw=True) | ||
for article in extract_article_list(raw): | ||
article['url'] = 'https://{}{}'.format(base, article['url']) | ||
yield article | ||
self.log('\t', article['title'], article['url']) | ||
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def preprocess_html(self, soup): | ||
for noscript in soup.findAll('noscript'): | ||
if noscript.findAll('img'): | ||
noscript.name = 'div' | ||
for img in soup.findAll('img', attrs={'srcset':True}): | ||
img['src'] = img['srcset'].split()[0] | ||
return soup | ||
feeds.append((section, articles)) | ||
return feeds | ||
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def preprocess_raw_html(self, raw, url): | ||
js = json.loads(raw) | ||
data = js['wireitems'] | ||
body = '' | ||
for x in data: | ||
if x.get('wireitem_type', '') == 'story': | ||
for y in x['templates']: | ||
if 'label' in y['cid']: | ||
body += '<div class="label">' + y['title'] + '</div>' | ||
break | ||
for y in x['templates']: | ||
if 'title' in y['cid']: | ||
body += '<h1 title="{}">'.format(js['share_url']) + y['content'] + '</h1>' | ||
break | ||
for y in x['templates']: | ||
if 'author' in y['cid']: | ||
body += '<p>' | ||
auths = [x for x in y.get('authors_names', [])] | ||
if auths: | ||
body += '<div class="auth">' + 'By ' + ', '.join(auths) + '</div>' | ||
break | ||
for y in x['templates']: | ||
if 'datetime' in y['cid']: | ||
body += '<div class="auth">' + str(y['read_minutes']) \ | ||
+ ' minute read | ' + p_dt(y['display_time']) + '</div>' | ||
body += '</p>' | ||
break | ||
for y in x['templates']: | ||
if 'paragraph' in y['cid']: | ||
body += '<p>' + y['content'] + '</p>' | ||
if 'header' in y['cid']: | ||
body += '<h4>' + y['content'] + '</h4>' | ||
if 'image' in y['cid']: | ||
if 'renditions' in y['image']: | ||
body += '<img src="{}"><div class="figc">{}</div>'.format( | ||
y['image']['url'].split('&')[0] + '&width=480', y['image']['caption'] | ||
) | ||
else: | ||
body += '<img src="{}"><div class="figc">{}</div>'.format( | ||
y['image']['url'], y['image']['caption'] | ||
) | ||
if 'gallery' in y['cid']: | ||
for imgs in y['images']: | ||
if 'renditions' in imgs: | ||
body += '<img src="{}"><div class="figc">{}</div>'.format( | ||
imgs['url'].split('&')[0] + '&width=480', imgs['caption'] | ||
) | ||
else: | ||
body += '<img src="{}"><div class="figc">{}</div>'.format( | ||
imgs['url'], imgs['caption'] | ||
) | ||
if 'video' in y['cid']: | ||
body += '<img src="{}"><div class="figc">{}</div>'.format( | ||
y['video']['thumbnail']['url'], y['video']['thumbnail']['caption'] | ||
) | ||
return BeautifulSoup('<html><body><div>' + body + '</div></body></html>').prettify() | ||
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def populate_article_metadata(self, article, soup, first): | ||
article.url = soup.find('h1')['title'] |