calibre/recipes/nytimes.recipe

173 lines
6.2 KiB
Python

#!/usr/bin/env python2
# vim:fileencoding=utf-8
# License: GPLv3 Copyright: 2018, Kovid Goyal <kovid at kovidgoyal.net>
from __future__ import absolute_import, division, print_function, unicode_literals
from calibre.web.feeds.news import BasicNewsRecipe
from calibre.utils.date import strptime
is_web_edition = True
# The sections to download when downloading the web edition, comment out
# the section you are not interested in
web_sections = [
('World', 'world'),
('U.S.', 'us'),
('Politics', 'politics'),
('New York', 'nyregion'),
('Business', 'business'),
('Technology', 'technology'),
('Sports', 'sports'),
('Science', 'science'),
('Health', 'health'),
('Opinion', 'opinion'),
('Arts', 'arts'),
('Books', 'books'),
('Movies', 'movies'),
('Music', 'arts/music'),
('Television', 'arts/television'),
('Style', 'style'),
('Dining & Wine', 'dining'),
('Fashion & Style', 'fashion'),
('Home & Garden', 'garden'),
('Travel', 'travel'),
('Education', 'education'),
('Multimedia', 'multimedia'),
('Obituaries', 'obituaries'),
('Sunday Magazine', 'magazine')
]
def classes(classes):
q = frozenset(classes.split(' '))
return dict(attrs={
'class': lambda x: x and frozenset(x.split()).intersection(q)})
class NewYorkTimes(BasicNewsRecipe):
title = 'The New York Times'
if is_web_edition:
description = 'New York Times (Web). You can edit the recipe to remove sections you are not interested in.'
else:
description = 'Today\'s New York Times'
encoding = 'utf-8'
__author__ = 'Kovid Goyal'
language = 'en'
ignore_duplicate_articles = {'title', 'url'}
no_stylesheets = True
compress_news_images = True
compress_news_images_auto_size = 5
keep_only_tags = [
dict(id='story-header'),
classes('story-body-supplemental story-interrupter'),
]
remove_tags = [
dict(attrs={'aria-label':'tools'.split()}),
dict(attrs={'data-videoid':True}),
dict(name='button meta link'.split()),
dict(id=lambda x: x and x.startswith('story-ad-')),
dict(name='a', href=lambda x: x and '#story-continues-' in x),
dict(name='a', href=lambda x: x and '#whats-next' in x),
dict(id=lambda x: x and 'sharetools-' in x),
dict(id='newsletter-promo'.split()),
classes('story-print-citation'),
]
def read_nyt_metadata(self):
INDEX = 'https://www.nytimes.com/section/todayspaper'
# INDEX = 'file:///t/raw.html'
soup = self.index_to_soup(INDEX)
pdate = soup.find('meta', attrs={'name':'pdate', 'content': True})['content']
date = strptime(pdate, '%Y%m%d', assume_utc=False, as_utc=False)
self.cover_url = 'https://static01.nyt.com/images/{}/nytfrontpage/scan.jpg'.format(date.strftime('%Y/%m/%d'))
self.timefmt = date.strftime(' [%d %b, %Y]')
return soup
def parse_todays_sections(self, container):
for h2 in container.findAll('h2', **classes('headline')):
title = self.tag_to_string(h2)
a = h2.find('a', href=True)
url = a['href']
if '?' in url:
url = url.split('?')[0]
p = h2.findParent(**classes('story-body'))
desc = ''
if p is not None:
s = p.find(**classes('summary'))
if s is not None:
desc = self.tag_to_string(s)
self.log('\t', title, ': ', url)
self.log('\t\t', desc)
yield {'title': title, 'url': url, 'description': desc}
def parse_todays_page(self):
soup = self.read_nyt_metadata()
section = soup.find(id='collection-todays-new-york-times')
feeds = []
for h1 in section.findAll('h1')[1:]:
section_title = self.tag_to_string(h1)
self.log('Found section:', section_title)
articles = list(self.parse_todays_sections(h1.parent))
if articles:
feeds.append((section_title, articles))
return feeds
def parse_highlights(self, container):
for article in container.findAll('article', **classes('story')):
h2 = article.find('h2')
if h2 is not None:
title = self.tag_to_string(h2)
a = h2.find('a', href=True)
if a is not None:
url = a['href']
desc = ''
p = article.find(**classes('summary'))
if p is not None:
desc = self.tag_to_string(p)
yield {'title': title, 'url': url, 'description': desc}
def parse_web_section(self, soup, slug):
def log(article):
self.log('\t', article['title'], ':', article['url'])
if article.get('description'):
self.log('\t\t', article['description'])
container = soup.find(itemtype='http://schema.org/CollectionPage')
highlights = container.find('section', **classes('highlights'))
for article in self.parse_highlights(highlights):
log(article)
yield article
extra = container.find('section', attrs={'data-collection-type': True})
if extra is not None:
title = self.tag_to_string(extra.find('h2'))
for article in self.parse_highlights(extra):
article['title'] = '{}: {}'.format(title, article['title'])
log(article)
yield article
def parse_web_sections(self):
self.read_nyt_metadata()
feeds = []
for section_title, slug in web_sections:
url = 'https://www.nytimes.com/section/' + slug
try:
soup = self.index_to_soup(url)
except Exception:
self.log.error('Failed to download section:', url)
continue
self.log('Found section:', section_title)
articles = list(self.parse_web_section(soup, slug))
if articles:
feeds.append((section_title, articles))
if self.test and len(feeds) >= self.test[0]:
break
return feeds
def parse_index(self):
if is_web_edition:
return self.parse_web_sections()
return self.parse_todays_page()