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WSJ News recipe
for the latest news.
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unkn0w7n
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recipes/wsj_news.recipe
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recipes/wsj_news.recipe
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import json
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import time
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from datetime import datetime, timedelta
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from itertools import zip_longest
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from calibre.ebooks.BeautifulSoup import BeautifulSoup
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from calibre.web.feeds.news import BasicNewsRecipe, classes
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def media_bucket(x):
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if x.get('type', '') == 'image':
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if x.get('subtype', '') == 'graphic' or 'images.wsj.net' not in x['manifest-url']:
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return '<br><img src="{}"><div class="figc">{}</div>\n'.format(
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x['manifest-url'], x['caption'] + '<i> ' + x['credit'] + '</i>'
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)
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return '<br><img src="{}"><div class="figc">{}</div>\n'.format(
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x['manifest-url'].split('?')[0] + '?width=600', x['caption'] + '<i> ' + x['credit'] + '</i>'
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)
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if x.get('type', '') == 'video':
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return '<br><a href="{}"><img src="{}"></a><div class="figc">{}</div>\n'.format(
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x['share_link'], x['thumbnail_url'].split('?')[0] + '?width=600', x['caption'] + '<i> ' + x['credit'] + '</i>'
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)
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return
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class WSJ(BasicNewsRecipe):
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title = 'WSJ News'
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__author__ = 'unkn0wn'
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description = (
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'The Wall Street Journal is your source for breaking news, analysis and insights from the U.S. and '
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'around the world, the world\'s leading business and finance publication. Get the Latest News here.'
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)
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language = 'en_US'
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masthead_url = 'https://s.wsj.net/media/wsj_amp_masthead_lg.png'
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encoding = 'utf-8'
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no_javascript = True
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no_stylesheets = True
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remove_attributes = ['style', 'height', 'width']
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resolve_internal_links = True
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ignore_duplicate_articles = {'url', 'title'}
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remove_empty_feeds = True
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oldest_article = 1 # days
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extra_css = '''
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#subhed, em { font-style:italic; color:#202020; }
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#byline, #time-to-read, #orig-pubdate-string, .article-byline, time, #flashline { font-size:small; }
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.figc { font-size:small; text-align:center; }
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img {display:block; margin:0 auto;}
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'''
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remove_tags = [
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dict(name='panel', attrs={'id':'summary-image'}),
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dict(name='panel', attrs={'layout':'inline'}),
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dict(name='panel', attrs={'embed':'inner-article-ad'}),
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dict(name='span', attrs={'embed':'ticker'}),
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classes('lamrelated-articles-inset-panel'),
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dict(name='p', attrs={'id':[
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'keywords', 'orig-pubdate-number', 'type', 'is-custom-flashline', 'grouphed', 'author-ids', 'article-manifest',
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'body-extract', 'category', 'sub-category', 'socialhed', 'summary', 'deckline', 'article-flashline'
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]}),
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]
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remove_tags_before = [
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dict(name='p', attrs={'id':'orig-pubdate-string'})
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]
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def preprocess_html(self, soup):
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jpml = soup.find('jpml')
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if jpml:
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jpml.name = 'article'
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h1 = soup.find('p', attrs={'id':'headline'})
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if h1:
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h1.name = 'h1'
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for h2 in soup.findAll('h2'):
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h2.name = 'h4'
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dt = soup.find('p', attrs={'id':'orig-pubdate-string'})
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read = soup.find('p', attrs={'id':'time-to-read'})
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byl = soup.find('p', attrs={'id':'byline'})
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if dt and byl and read:
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dt.name = read.name = byl.name = 'div'
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byl.insert(0, dt)
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byl.insert(0, read)
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url = soup.find('p', attrs={'id':'share-link'})
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if url:
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url.name = 'div'
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url['title'] = self.tag_to_string(url).strip()
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url.string = ''
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panel = soup.find('panel', attrs={'id':'metadata'})
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if panel:
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buck = panel.find('p', attrs={'id':'media-bucket'})
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if buck:
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data = json.loads(buck.string)
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buck.extract()
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i_lst = [media_bucket(x) for x in data['items']]
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m_itm = soup.findAll('panel', attrs={'class':'media-item'})
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if i_lst and m_itm:
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for x, y in list(zip_longest(m_itm, i_lst)):
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x.insert_after(BeautifulSoup(y, 'html.parser'))
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return soup
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def postprocess_html(self, soup, first_fetch):
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for pan in soup.findAll('panel'):
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pan.name = 'div'
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return soup
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def _download_cover(self):
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import os
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from contextlib import closing
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from calibre import browser
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from calibre.utils.img import save_cover_data_to
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br = browser()
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raw = br.open('https://www.frontpages.com/the-wall-street-journal/')
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soup = BeautifulSoup(raw.read())
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cu = 'https://www.frontpages.com' + soup.find('img', attrs={'id':'giornale-img'})['src']
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self.report_progress(1, _('Downloading cover from %s')%cu)
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with closing(br.open(cu, timeout=self.timeout)) as r:
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cdata = r.read()
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cpath = os.path.join(self.output_dir, 'cover.jpg')
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save_cover_data_to(cdata, cpath)
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self.cover_path = cpath
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def get_browser(self, *args, **kw):
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kw['user_agent'] = 'okhttp/4.10.0'
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br = BasicNewsRecipe.get_browser(self, *args, **kw)
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br.addheaders += [
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('Accept-Encoding', 'gzip'),
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('cache-control', 'no-cache'),
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('x-api-key', ('e''b''2''4''0''8''c''d''2''7''f''8''9''1''3''d''4''2''1''f''a''3''d''5''c''3''d''0''7''c''c''f''0''3''4''c''b''4''4''8')),
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]
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return br
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def parse_index(self):
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index = 'https://bartender.mobile.dowjones.io'
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catalog = json.loads(self.index_to_soup(index + '/catalogs/v1/wsj/us/catalog.json', raw=True))
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edit = [itm['key'][10:] for itm in catalog['items'] if itm['type'] == 'ITPNEXTGEN'][1:]
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self.log('**Past Editions available :', ', '.join(edit))
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for itm in catalog['items']:
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if itm['key'] == 'NOW':
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key = itm['key']
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manifest = itm['manifest']
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break
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feeds = []
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manif = json.loads(self.index_to_soup(index + manifest, raw=True))
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for itm in manif['items']:
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for k, v in itm.items():
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if '-pages_' in k:
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section = k.split('-pages_')[0].replace('_', ' ')
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self.log(section)
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articles = []
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sec_parse = json.loads(self.index_to_soup(index + v, raw=True))
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data = sec_parse['articles']
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for art in data:
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dt = datetime.fromtimestamp(data[art]['pubdateNumber'] + time.timezone)
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if (datetime.now() - dt) > timedelta(self.oldest_article):
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continue
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title = data[art]['headline']
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desc = data[art]['summary']
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url = index + '/contents/v1/wsj/us/' + key + '/' + data[art]['filename']
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self.log(' ', title, '\n\t', desc)
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articles.append({'title': title, 'description':desc, 'url': url})
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feeds.append((section, articles))
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return feeds
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def preprocess_raw_html(self, raw, url):
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return BeautifulSoup(raw).prettify()
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def populate_article_metadata(self, article, soup, first):
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lnk = soup.find('div', attrs={'id':'share-link'})
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if lnk:
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article.url = lnk['title']
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