/
nytimes.recipe
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/
nytimes.recipe
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#!/usr/bin/env python
# vim:fileencoding=utf-8
# License: GPLv3 Copyright: 2018, Kovid Goyal <kovid at kovidgoyal.net>
from __future__ import absolute_import, division, print_function, unicode_literals
import datetime
import json
import re
from pprint import pprint # noqa
from calibre import strftime
from calibre.ebooks.BeautifulSoup import Tag
from calibre.utils.date import strptime
from calibre.web.feeds.news import BasicNewsRecipe
is_web_edition = True
oldest_web_edition_article = 7 # days
use_wayback_machine = 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')
]
url_date_pat = re.compile(r'/(2\d\d\d)/(\d\d)/(\d\d)/')
def date_from_url(url):
m = url_date_pat.search(url)
if m is not None:
return datetime.date(*map(int, m.groups()))
def format_date(d):
try:
return strftime(' [%a, %d %b %Y]', d)
except Exception:
return strftime(' [%Y/%m/%d]', d)
def classes(classes):
q = frozenset(classes.split(' '))
return dict(attrs={
'class': lambda x: x and frozenset(x.split()).intersection(q)})
def new_tag(soup, name, attrs=()):
impl = getattr(soup, 'new_tag', None)
if impl is not None:
return impl(name, attrs=dict(attrs))
return Tag(soup, name, attrs=attrs or None)
class NewYorkTimes(BasicNewsRecipe):
if is_web_edition:
title = 'The New York Times (Web)'
description = 'New York Times (Web). You can edit the recipe to remove sections you are not interested in.'
else:
title = 'The New York Times'
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
conversion_options = {'flow_size': 0}
delay = 0 if use_wayback_machine else 1
@property
def nyt_parser(self):
ans = getattr(self, '_nyt_parser', None)
if ans is None:
from calibre.live import load_module
self._nyt_parser = ans = load_module('calibre.web.site_parsers.nytimes')
return ans
def get_nyt_page(self, url, skip_wayback=False):
if use_wayback_machine and not skip_wayback:
from calibre import browser
return self.nyt_parser.download_url(url, browser())
return self.browser.open_novisit(url).read()
def preprocess_raw_html(self, raw_html, url):
html = self.nyt_parser.extract_html(self.index_to_soup(raw_html))
return html
articles_are_obfuscated = use_wayback_machine
if use_wayback_machine:
def get_obfuscated_article(self, url):
from calibre.ptempfile import PersistentTemporaryFile
with PersistentTemporaryFile() as tf:
tf.write(self.get_nyt_page(url))
return tf.name
def read_todays_paper(self):
INDEX = 'https://www.nytimes.com/section/todayspaper'
# INDEX = 'file:///t/raw.html'
return self.index_to_soup(self.get_nyt_page(INDEX, skip_wayback=True))
def read_nyt_metadata(self):
soup = self.read_todays_paper()
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 = strftime(' [%d %b, %Y]', date)
return soup
def parse_todays_page(self):
soup = self.read_nyt_metadata()
script = soup.findAll('script', text=lambda x: x and 'window.__preloadedData' in x)[0]
script = type(u'')(script)
json_data = script[script.find('{'):script.rfind(';')].strip().rstrip(';')
data = json.loads(json_data.replace(':undefined', ':null'))['initialState']
containers, sections = {}, {}
article_map = {}
gc_pat = re.compile(r'groupings.(\d+).containers.(\d+)')
pat = re.compile(r'groupings.(\d+).containers.(\d+).relations.(\d+)')
for key in data:
if 'Article' in key:
adata = data[key]
if adata.get('__typename') == 'Article':
url = adata.get('url')
summary = adata.get('summary')
headline = adata.get('headline')
if url and headline:
title = data[headline['id']]['default']
article_map[adata['id']] = {
'title': title, 'url': url, 'description': summary or ''}
elif 'Legacy' in key:
sdata = data[key]
tname = sdata.get('__typename')
if tname == 'LegacyCollectionContainer':
m = gc_pat.search(key)
containers[int(m.group(2))] = sdata['label'] or sdata['name']
elif tname == 'LegacyCollectionRelation':
m = pat.search(key)
grouping, container, relation = map(int, m.groups())
asset = sdata['asset']
if asset and asset['typename'] == 'Article' and grouping == 0:
if container not in sections:
sections[container] = []
sections[container].append(asset['id'].split(':', 1)[1])
feeds = []
for container_num in sorted(containers):
section_title = containers[container_num]
if container_num in sections:
articles = sections[container_num]
if articles:
feeds.append((section_title, []))
for artid in articles:
if artid in article_map:
art = article_map[artid]
feeds[-1][1].append(art)
def skey(x):
name = x[0].strip()
if name == 'The Front Page':
return 0, ''
return 1, name.lower()
feeds.sort(key=skey)
for section, articles in feeds:
self.log('\n' + section)
for article in articles:
self.log(article['title'] + ' - ' + article['url'])
# raise SystemExit(1)
return feeds
def parse_article_group(self, container):
for li in container.findAll('li'):
article = li.find('article')
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']
if url.startswith('/'):
url = 'https://www.nytimes.com' + url
desc = ''
p = h2.findNextSibling('p')
if p is not None:
desc = self.tag_to_string(p)
date = ''
d = date_from_url(url)
if d is not None:
date = format_date(d)
today = datetime.date.today()
delta = today - d
if delta.days > oldest_web_edition_article:
self.log.debug('\tSkipping article', title, 'as it is too old')
continue
yield {'title': title, 'url': url, 'description': desc, 'date': date}
def parse_web_section(self, soup, slug):
def log(article):
self.log('\t', article['title'] + article['date'], ':', article['url'])
if article.get('description'):
self.log('\t\t', article['description'])
cid = slug.split('/')[-1]
if cid == 'dining':
cid = 'food'
try:
container = soup.find(id='collection-{}'.format(cid)).find('section')
except AttributeError:
container = None
if container is None:
raise ValueError('Failed to find articles container for slug: {}'.format(slug))
for ol in container.findAll('ol'):
for article in self.parse_article_group(ol):
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(self.get_nyt_page(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):
# return [('All articles', [
# {'title': 'XXXXX', 'url': 'https://www.nytimes.com/2020/11/27/world/americas/coronavirus-migrants-venezuela.html'},
# ])]
if is_web_edition:
return self.parse_web_sections()
return self.parse_todays_page()