mirror of
https://github.com/kovidgoyal/calibre.git
synced 2025-06-23 15:30:45 -04:00
344 lines
13 KiB
Python
344 lines
13 KiB
Python
#!/usr/bin/env python
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# vim:fileencoding=utf-8
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# License: GPLv3 Copyright: 2018, 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 datetime
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import re
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import json
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from pprint import pprint # noqa
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from calibre import strftime
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from calibre.utils.date import strptime
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from calibre.web.feeds.news import BasicNewsRecipe
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from calibre.ebooks.BeautifulSoup import Tag
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is_web_edition = True
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oldest_web_edition_article = 7 # days
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# The sections to download when downloading the web edition, comment out
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# the section you are not interested in
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web_sections = [
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('World', 'world'),
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('U.S.', 'us'),
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('Politics', 'politics'),
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('New York', 'nyregion'),
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('Business', 'business'),
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('Technology', 'technology'),
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('Sports', 'sports'),
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('Science', 'science'),
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('Health', 'health'),
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('Opinion', 'opinion'),
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('Arts', 'arts'),
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('Books', 'books'),
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('Movies', 'movies'),
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('Music', 'arts/music'),
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('Television', 'arts/television'),
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('Style', 'style'),
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('Dining & Wine', 'dining'),
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('Fashion & Style', 'fashion'),
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('Home & Garden', 'garden'),
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('Travel', 'travel'),
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('Education', 'education'),
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('Multimedia', 'multimedia'),
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('Obituaries', 'obituaries'),
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('Sunday Magazine', 'magazine')
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]
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url_date_pat = re.compile(r'/(2\d\d\d)/(\d\d)/(\d\d)/')
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def date_from_url(url):
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m = url_date_pat.search(url)
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if m is not None:
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return datetime.date(*map(int, m.groups()))
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def format_date(d):
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try:
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return strftime(' [%a, %d %b %Y]', d)
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except Exception:
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return strftime(' [%Y/%m/%d]', d)
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def classes(classes):
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q = frozenset(classes.split(' '))
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return dict(attrs={
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'class': lambda x: x and frozenset(x.split()).intersection(q)})
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def new_tag(soup, name, attrs=()):
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impl = getattr(soup, 'new_tag', None)
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if impl is not None:
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return impl(name, attrs=dict(attrs))
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return Tag(soup, name, attrs=attrs or None)
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class NewYorkTimes(BasicNewsRecipe):
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if is_web_edition:
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title = 'The New York Times (Web)'
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description = 'New York Times (Web). You can edit the recipe to remove sections you are not interested in.'
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else:
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title = 'The New York Times'
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description = 'Today\'s New York Times'
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encoding = 'utf-8'
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__author__ = 'Kovid Goyal'
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language = 'en'
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ignore_duplicate_articles = {'title', 'url'}
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no_stylesheets = True
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compress_news_images = True
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compress_news_images_auto_size = 5
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remove_attributes = ['style']
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conversion_options = {'flow_size': 0}
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remove_tags = [
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dict(attrs={'aria-label':'tools'.split()}),
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dict(attrs={'aria-label': lambda x: x and 'New York Times Logo' in x}),
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dict(href='#site-content #site-index'.split()),
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dict(attrs={'aria-hidden':'true'}),
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dict(attrs={'data-videoid':True}),
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dict(name='button meta link'.split()),
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dict(id=lambda x: x and x.startswith('story-ad-')),
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dict(name='head'),
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dict(role='toolbar'),
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dict(name='a', href=lambda x: x and '#story-continues-' in x),
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dict(name='a', href=lambda x: x and '#whats-next' in x),
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dict(id=lambda x: x and 'sharetools-' in x),
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dict(id='newsletter-promo supported-by-ad bottom-wrapper top-wrapper sponsor-wrapper'.split()),
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classes('story-print-citation supported-by accessibility-ad-header visually-hidden bottom-of-article ad'),
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dict(attrs={'class': lambda x: x and (
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'SectionBar' in x or 'recirculation' in x or 'ResponsiveAd' in x or 'accessibility-visuallyHidden' in x or 'RelatedCoverage' in x)}),
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]
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def preprocess_html(self, soup):
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article = soup.find(id='story')
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# The NYT is apparently A/B testing a new page layout
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has_supplemental = article is not None and article.find(**classes('story-body-supplemental')) is not None
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if has_supplemental:
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keep_only_tags = [
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dict(id='story-header'),
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classes('story-body-supplemental story-interrupter'),
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]
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else:
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keep_only_tags = [
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dict(id='story'),
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]
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body = new_tag(soup, 'body')
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for spec in keep_only_tags:
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for tag in soup.find('body').findAll(**spec):
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body.insert(len(body.contents), tag)
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soup.find('body').replaceWith(body)
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# Add a space to the dateline
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t = soup.find(**classes('dateline'))
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if t is not None:
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t.insert(0, ' ')
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# Remove empty li tags
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for li in soup.findAll('li', attrs={'class': lambda x: x and x.startswith('css-')}):
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if not li.contents and not li.string:
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li.extract()
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# Ensure the headline is first
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h1 = soup.find('h1', itemprop='headline')
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if h1 is not None:
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h1.extract()
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soup.find('body').contents.insert(0, h1)
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# Find lazy loaded images
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for div in soup.findAll(itemtype='http://schema.org/ImageObject', itemid=True):
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if div.find('img') is None:
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span = div.find('span')
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if span is not None and self.tag_to_string(span).strip().lower() == 'image':
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span.name = 'img'
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span['src'] = div['itemid']
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return soup
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def read_todays_paper(self):
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INDEX = 'https://www.nytimes.com/section/todayspaper'
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# INDEX = 'file:///t/raw.html'
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try:
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soup = self.index_to_soup(INDEX)
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except Exception as err:
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if getattr(err, 'code', None) == 404:
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try:
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soup = self.index_to_soup(strftime('https://www.nytimes.com/issue/todayspaper/%Y/%m/%d/todays-new-york-times'))
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except Exception as err:
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if getattr(err, 'code', None) == 404:
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dt = datetime.datetime.today() - datetime.timedelta(days=1)
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soup = self.index_to_soup(dt.strftime('https://www.nytimes.com/issue/todayspaper/%Y/%m/%d/todays-new-york-times'))
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else:
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raise
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else:
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raise
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return soup
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def read_nyt_metadata(self):
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soup = self.read_todays_paper()
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pdate = soup.find('meta', attrs={'name':'pdate', 'content': True})['content']
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date = strptime(pdate, '%Y%m%d', assume_utc=False, as_utc=False)
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self.cover_url = 'https://static01.nyt.com/images/{}/nytfrontpage/scan.jpg'.format(date.strftime('%Y/%m/%d'))
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self.timefmt = strftime(' [%d %b, %Y]', date)
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return soup
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def parse_todays_page(self):
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soup = self.read_nyt_metadata()
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script = soup.findAll('script', text=lambda x: x and 'window.__preloadedData' in x)[0]
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script = type(u'')(script)
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data = json.loads(script[script.find('{'):script.rfind(';')].strip().rstrip(';'))['initialState']
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containers, sections = {}, {}
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article_map = {}
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gc_pat = re.compile(r'groupings.(\d+).containers.(\d+)')
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pat = re.compile(r'groupings.(\d+).containers.(\d+).relations.(\d+)')
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for key in data:
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if 'Article' in key:
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adata = data[key]
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if adata.get('__typename') == 'Article':
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url = adata.get('url')
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summary = adata.get('summary')
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headline = adata.get('headline')
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if url and headline:
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title = data[headline['id']]['default']
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article_map[adata['id']] = {
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'title': title, 'url': url, 'description': summary or ''}
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elif 'Legacy' in key:
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sdata = data[key]
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tname = sdata.get('__typename')
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if tname == 'LegacyCollectionContainer':
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m = gc_pat.search(key)
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containers[int(m.group(2))] = sdata['label'] or sdata['name']
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elif tname == 'LegacyCollectionRelation':
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m = pat.search(key)
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grouping, container, relation = map(int, m.groups())
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asset = sdata['asset']
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if asset and asset['typename'] == 'Article' and grouping == 0:
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if container not in sections:
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sections[container] = []
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sections[container].append(asset['id'].split(':', 1)[1])
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feeds = []
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for container_num in sorted(containers):
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section_title = containers[container_num]
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if container_num in sections:
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articles = sections[container_num]
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if articles:
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feeds.append((section_title, []))
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for artid in articles:
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if artid in article_map:
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art = article_map[artid]
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feeds[-1][1].append(art)
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def skey(x):
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name = x[0].strip()
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if name == 'The Front Page':
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return 0, ''
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return 1, name.lower()
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feeds.sort(key=skey)
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for section, articles in feeds:
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self.log('\n' + section)
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for article in articles:
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self.log(article['title'] + ' - ' + article['url'])
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# raise SystemExit(1)
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return feeds
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def parse_article_group(self, container):
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for li in container.findAll('li'):
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article = li.find('article')
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h2 = article.find('h2')
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if h2 is not None:
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title = self.tag_to_string(h2)
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a = h2.find('a', href=True)
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if a is not None:
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url = a['href']
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if url.startswith('/'):
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url = 'https://www.nytimes.com' + url
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desc = ''
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p = h2.findNextSibling('p')
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if p is not None:
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desc = self.tag_to_string(p)
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date = ''
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d = date_from_url(url)
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if d is not None:
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date = format_date(d)
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today = datetime.date.today()
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delta = today - d
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if delta.days > oldest_web_edition_article:
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self.log.debug('\tSkipping article', title, 'as it is too old')
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continue
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yield {'title': title, 'url': url, 'description': desc, 'date': date}
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def parse_web_section(self, soup, slug):
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def log(article):
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self.log('\t', article['title'] + article['date'], ':', article['url'])
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if article.get('description'):
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self.log('\t\t', article['description'])
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cid = slug.split('/')[-1]
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if cid == 'dining':
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cid = 'food'
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try:
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container = soup.find(id='collection-{}'.format(cid)).find('section')
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except AttributeError:
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container = None
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if container is None:
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raise ValueError('Failed to find articles container for slug: {}'.format(slug))
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for ol in container.findAll('ol'):
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for article in self.parse_article_group(ol):
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log(article)
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yield article
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def parse_web_sections(self):
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self.read_nyt_metadata()
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feeds = []
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for section_title, slug in web_sections:
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url = 'https://www.nytimes.com/section/' + slug
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try:
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soup = self.index_to_soup(url)
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except Exception:
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self.log.error('Failed to download section:', url)
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continue
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self.log('Found section:', section_title)
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articles = list(self.parse_web_section(soup, slug))
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if articles:
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feeds.append((section_title, articles))
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if self.test and len(feeds) >= self.test[0]:
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break
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return feeds
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def parse_index(self):
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# return [('All articles', [
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# {'title': 'XXXXX', 'url': 'https://www.nytimes.com/2020/11/27/world/americas/coronavirus-migrants-venezuela.html'},
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# ])]
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if is_web_edition:
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return self.parse_web_sections()
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return self.parse_todays_page()
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# The NYT occassionally returns bogus articles for some reason just in case
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# it is because of cookies, dont store cookies
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def get_browser(self, *args, **kwargs):
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return self
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def clone_browser(self, *args, **kwargs):
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return self.get_browser()
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def open_novisit(self, *args, **kwargs):
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from calibre import browser, random_user_agent
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if not hasattr(self, 'rua_stored'):
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self.rua_stored = random_user_agent(allow_ie=False)
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br = browser(user_agent=self.rua_stored)
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response = br.open_novisit(*args, **kwargs)
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# headers = response.info()
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# if headers.get('X-PageType') == 'vi-story':
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# import tempfile
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# with tempfile.NamedTemporaryFile(suffix='.html', dir='/t/n', delete=False) as f:
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# f.write(response.read())
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# import time
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# time.sleep(1)
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# br = browser()
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# response = br.open_novisit(*args, **kwargs)
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return response
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open = open_novisit
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