#!/usr/bin/env python # vim:fileencoding=utf-8 import json import time from itertools import zip_longest from urllib.parse import quote, urlencode from calibre import browser from calibre.ebooks.BeautifulSoup import BeautifulSoup from calibre.ptempfile import PersistentTemporaryFile from calibre.web.feeds.news import BasicNewsRecipe, classes def get_article(article_id): from mechanize import Request mat_url = 'https://mats.mobile.dowjones.io/translate/' + article_id + '/jpml' headers = { 'User-Agent': 'okhttp/4.10.0', 'Accept-Encoding': 'gzip', 'Cache-Control': 'no-cache', 'x-api-key': ('e''0''5''9''9''5''f''f''4''4''2''1''4''3''2''5''5''e''b''8''3''8''1''f''7''2''d''4''9''1''3''b''f''7''5''0''3''d''6''c'), # noqa: ISC001 } br = browser() req = Request( mat_url, headers=headers, ) res = br.open(req) return res.read() class WSJ(BasicNewsRecipe): title = 'The Wall Street Journal' __author__ = 'unkn0wn' description = ( 'The Print Edition of WSJ. The Wall Street Journal is your source ' 'for breaking news, analysis and insights from the U.S. and ' "around the world, the world's leading business and finance publication." ) language = 'en_US' masthead_url = 'https://s.wsj.net/media/wsj_amp_masthead_lg.png' encoding = 'utf-8' no_javascript = True no_stylesheets = True remove_attributes = ['style', 'height', 'width'] resolve_internal_links = True simultaneous_downloads = 20 recipe_specific_options = { 'date': { 'short': 'The date of the edition to download (YYYY-MM-DD format)\nOnly the past 6 editions will be available ', 'long': 'For example, 2024-05-13', }, 'res': { 'short': 'For hi-res images, select a resolution from the\nfollowing options: 800, 1000, 1200 or 1500', 'long': 'This is useful for non e-ink devices, and for a lower file size\nthan the default, use 400 or 300.', 'default': '600', }, } extra_css = ''' #subhed, em { font-style:italic; color:#202020; } #byline, #time-to-read, #orig-pubdate-string, .article-byline, time, #flashline { font-size:small; } .figc { font-size:small; text-align:center; } img {display:block; margin:0 auto;} ''' remove_tags = [ dict(name='panel', attrs={'id': 'summary-image'}), dict(name='panel', attrs={'layout': 'inline'}), dict(name='panel', attrs={'embed': 'inner-article-ad'}), dict(name='span', attrs={'embed': 'ticker'}), classes('lamrelated-articles-inset-panel'), dict( name='p', attrs={ 'id': [ 'keywords', 'orig-pubdate-number', 'type', 'is-custom-flashline', 'grouphed', 'author-ids', 'article-manifest', 'body-extract', 'category', 'sub-category', 'socialhed', 'summary', 'deckline', 'article-flashline', ] }, ), ] remove_tags_before = [dict(name='p', attrs={'id': 'orig-pubdate-string'})] def media_bucket(self, x): res = '?width=600' w = self.recipe_specific_options.get('res') if w and isinstance(w, str): res = '?width=' + w if x.get('type', '') == 'image': if ( x.get('subtype', '') == 'graphic' or 'images.wsj.net' not in x['manifest-url'] ): return '
{}
\n'.format( x['manifest-url'], x['caption'] + ' ' + x['credit'] + '' ) return '
{}
\n'.format( x['manifest-url'].split('?')[0] + res, x['caption'] + ' ' + x['credit'] + '', ) if x.get('type', '') == 'video': return ( '
{}
\n'.format( x['share_link'], x['thumbnail_url'].split('?')[0] + res, x['caption'] + ' ' + x['credit'] + '', ) ) return def preprocess_html(self, soup): jpml = soup.find('jpml') if jpml: jpml.name = 'article' h1 = soup.find('p', attrs={'id': 'headline'}) if h1: h1.name = 'h1' for h2 in soup.findAll('h2'): h2.name = 'h4' dt = soup.find('p', attrs={'id': 'orig-pubdate-string'}) read = soup.find('p', attrs={'id': 'time-to-read'}) byl = soup.find('p', attrs={'id': 'byline'}) fl = soup.find('p', attrs={'id': 'flashline'}) if dt and byl and read and fl: dt.name = read.name = byl.name = fl.name = 'div' byl.insert(0, dt) byl.insert(0, read) url = soup.find('p', attrs={'id': 'share-link'}) if url: url.name = 'div' url['title'] = self.tag_to_string(url).strip() url.string = '' panel = soup.find('panel', attrs={'id': 'metadata'}) if panel: buck = panel.find('p', attrs={'id': 'media-bucket'}) if buck: data = json.loads(buck.string) buck.extract() i_lst = [self.media_bucket(x) for x in data['items']] m_itm = soup.findAll('panel', attrs={'class': 'media-item'}) if i_lst and m_itm: for x, y in list(zip_longest(m_itm, i_lst)): x.insert_after(BeautifulSoup(y, 'html.parser')) return soup def postprocess_html(self, soup, first_fetch): for pan in soup.findAll('panel'): pan.name = 'div' return soup def _download_cover(self): import os from contextlib import closing from calibre.utils.img import save_cover_data_to br = browser() dt = self.recipe_specific_options.get('date') if (dt and isinstance(dt, str)): d, m, y = dt.split('-') cu = f'https://www.wsj.com/public/resources/documents/WSJNewsPaper-{int(m)}-{int(d)}-{y}.jpg' else: raw = br.open('https://frontpages.freedomforum.org/newspapers/wsj-The_Wall_Street_Journal') soup = BeautifulSoup(raw.read()) cu = soup.find( 'img', attrs={ 'alt': 'Front Page Image', 'src': lambda x: x and x.endswith('front-page-large.jpg'), }, )['src'].replace('-large', '-medium') self.report_progress(1, _('Downloading cover from %s') % cu) with closing(br.open(cu, timeout=self.timeout)) as r: cdata = r.read() cpath = os.path.join(self.output_dir, 'cover.jpg') save_cover_data_to(cdata, cpath) self.cover_path = cpath def get_browser(self, *args, **kw): br = BasicNewsRecipe.get_browser(self, *args, **kw) br.addheaders += [ ('apollographql-client-name', 'wsj-mobile-android-release'), ] return br def parse_index(self): query = { 'operationName': 'IssueQuery', 'variables': '{"publication":"WSJ","region":"US","masthead":"ITPNEXTGEN"}', 'extensions': '{"persistedQuery":{"version":1,"sha256Hash":"d938226e7d1c1fff050e7d084c72179e2713dcf4736d3a442c618c55b896f847"}}', } url = 'https://shared-data.dowjones.io/gateway/graphql?' + urlencode( query, safe='()!', quote_via=quote ) raw = self.index_to_soup(url, raw=True) cat_data = json.loads(raw)['data']['mobileIssuesByMasthead'] edit = [x['datedLabel'] for x in cat_data][1:] self.log('**Past Editions available : ' + ' | '.join(edit)) past_edition = self.recipe_specific_options.get('date') for itm in cat_data: if past_edition and isinstance(past_edition, str): if past_edition in itm['publishedDateUtc']: self.timefmt = ' [' + itm['datedLabel'] sections_ = itm['sections'] break self.timefmt = f' [{itm["datedLabel"]}]' sections_ = itm['sections'] break self.log('Downloading ', self.timefmt) feeds = [] for sec in sections_[:-1]: time.sleep(3) section = sec['label'] self.log(section) cont_id = sec['key'] query = { 'operationName': 'SectionQuery', 'variables': '{{"id":"{}"}}'.format(cont_id), 'extensions': '{"persistedQuery":{"version":1,"sha256Hash":"207fe93376f379bf223ed2734cf9313a28291293366a803db923666fa6b45026"}}', } sec_url = 'https://shared-data.dowjones.io/gateway/graphql?' + urlencode( query, safe='()!', quote_via=quote ) sec_raw = self.index_to_soup(sec_url, raw=True) sec_data = json.loads(sec_raw)['data']['summaryCollectionContent'][ 'collectionItems' ] articles = [] for art in sec_data: for arts in art['collectionItems']: mobi = arts['content']['mobileSummary'] title = mobi['headline']['text'] desc = mobi['description']['content']['text'] url = arts['id'] self.log(' ', title, '\n\t', desc) articles.append({'title': title, 'description': desc, 'url': url}) feeds.append((section, articles)) return feeds def populate_article_metadata(self, article, soup, first): lnk = soup.find('div', attrs={'id': 'share-link'}) if lnk: article.url = lnk['title'] def print_version(self, url): art_cont = get_article(url) pt = PersistentTemporaryFile('.html') pt.write(art_cont) pt.close() return 'file:///' + pt.name