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Update economist_free.recipe

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unkn0w7n 2024-11-19 21:32:15 +05:30
parent 4f5b833a78
commit 3b0fcaf924
1 changed files with 282 additions and 214 deletions
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recipes/economist_free.recipe
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@ -1,6 +1,7 @@
#!/usr/bin/env python #!/usr/bin/env python
# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net> # License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>
import re
import json import json
import time import time
from collections import defaultdict from collections import defaultdict
@ -11,13 +12,12 @@ from html5_parser import parse
from lxml import etree from lxml import etree
from calibre import replace_entities from calibre import replace_entities
from calibre.ebooks.BeautifulSoup import NavigableString, Tag from calibre.scraper.simple import read_url
from calibre.ebooks.BeautifulSoup import BeautifulSoup, NavigableString, Tag
from calibre.ptempfile import PersistentTemporaryFile from calibre.ptempfile import PersistentTemporaryFile
from calibre.utils.date import parse_only_date from calibre.utils.date import parse_only_date
from calibre.web.feeds.news import BasicNewsRecipe from calibre.web.feeds.news import BasicNewsRecipe
use_archive = True
def E(parent, name, text='', **attrs): def E(parent, name, text='', **attrs):
ans = parent.makeelement(name, **attrs) ans = parent.makeelement(name, **attrs)
@ -56,63 +56,62 @@ class JSONHasNoContent(ValueError):
pass pass
if use_archive: def load_article_from_json(raw, root):
def load_article_from_json(raw, root): # open('/t/raw.json', 'w').write(raw)
# open('/t/raw.json', 'w').write(raw) data = json.loads(raw)
data = json.loads(raw) body = root.xpath('//body')[0]
body = root.xpath('//body')[0] article = E(body, 'article')
article = E(body, 'article') E(article, 'div', data['flyTitle'], style='color: red; font-size:small; font-weight:bold;')
E(article, 'div', data['flyTitle'] , style='color: red; font-size:small; font-weight:bold;') E(article, 'h1', data['title'], title=safe_dict(data, "url", "canonical") or '')
E(article, 'h1', data['title'], title=safe_dict(data, "url", "canonical") or '') E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;')
E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;') try:
date = data['dateModified']
except Exception:
date = data['datePublished']
dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
dt = dt.strftime('%b %d, %Y %I:%M %p')
if data['dateline'] is None:
E(article, 'p', dt, style='color: gray; font-size:small;')
else:
E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
if main_image_url:
div = E(article, 'div')
try: try:
date = data['dateModified'] E(div, 'img', src=main_image_url)
except Exception: except Exception:
date = data['datePublished'] pass
dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone) for node in data.get('text') or ():
dt = dt.strftime('%b %d, %Y %I:%M %p') process_node(node, article)
if data['dateline'] is None:
E(article, 'p', dt, style='color: gray; font-size:small;')
else: def load_article_from_web_json(raw, root):
E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;') # open('/t/raw.json', 'w').write(raw)
main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical') try:
if main_image_url: data = json.loads(raw)['props']['pageProps']['content']
div = E(article, 'div') except KeyError as e:
try: raise JSONHasNoContent(e)
E(div, 'img', src=main_image_url) if isinstance(data, list):
except Exception: data = data[0]
pass body = root.xpath('//body')[0]
for node in data.get('text') or (): for child in tuple(body):
process_node(node, article) body.remove(child)
else: article = E(body, 'article')
def load_article_from_json(raw, root): E(article, 'div', data['subheadline'], id='subhead')
# open('/t/raw.json', 'w').write(raw) E(article, 'h1', data['headline'])
E(article, 'p', data['description'], id='desc')
if data['dateline'] is None:
E(article, 'p', (data['datePublishedString'] or ''), id='date')
else:
E(article, 'p', (data['datePublishedString'] or '') + ' | ' + (data['dateline']), id='date')
main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
if main_image_url:
div = E(article, 'div')
try: try:
data = json.loads(raw)['props']['pageProps']['content'] E(div, 'img', src=main_image_url)
except KeyError as e: except Exception:
raise JSONHasNoContent(e) pass
if isinstance(data, list): E(article, 'section', id='body')
data = data[0]
body = root.xpath('//body')[0]
for child in tuple(body):
body.remove(child)
article = E(body, 'article')
E(article, 'div', replace_entities(data['subheadline']) , style='color: red; font-size:small; font-weight:bold;')
E(article, 'h1', replace_entities(data['headline']))
E(article, 'div', replace_entities(data['description']), style='font-style: italic; color:#202020;')
if data['dateline'] is None:
E(article, 'p', (data['datePublishedString'] or ''), style='color: gray; font-size:small;')
else:
E(article, 'p', (data['datePublishedString'] or '') + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
if main_image_url:
div = E(article, 'div')
try:
E(div, 'img', src=main_image_url)
except Exception:
pass
for node in data.get('text') or ():
process_node(node, article)
def cleanup_html_article(root): def cleanup_html_article(root):
@ -153,7 +152,6 @@ def process_url(url):
class Economist(BasicNewsRecipe): class Economist(BasicNewsRecipe):
title = 'The Economist' title = 'The Economist'
language = 'en' language = 'en'
encoding = 'utf-8' encoding = 'utf-8'
@ -167,25 +165,31 @@ class Economist(BasicNewsRecipe):
extra_css = ''' extra_css = '''
em { color:#202020; } em { color:#202020; }
img {display:block; margin:0 auto;} img {display:block; margin:0 auto;}
.sub { font-size:small; }
#subhead { color: #404040; font-size:small; font-weight:bold; }'
#desc { font-style: italic; color:#202020; }
#date { color: gray; font-size:small; }
''' '''
oldest_article = 7.0 oldest_article = 7.0
resolve_internal_links = True resolve_internal_links = True
remove_tags = [ remove_tags = [
dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer']), dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer', 'svg']),
dict(attrs={'aria-label': "Article Teaser"}), dict(attrs={'aria-label': "Article Teaser"}),
dict(attrs={'id': 'player'}),
dict(attrs={ dict(attrs={
'class': [ 'class': [
'dblClkTrk', 'ec-article-info', 'share_inline_header', 'dblClkTrk', 'ec-article-info', 'share_inline_header',
'related-items', 'main-content-container', 'ec-topic-widget', 'related-items', 'main-content-container', 'ec-topic-widget',
'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label', 'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label',
'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel', 'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel',
'newsletter-form','share-links-header','teaser--wrapped', 'latest-updates-panel__container', 'newsletter-form', 'share-links-header', 'teaser--wrapped', 'latest-updates-panel__container',
'latest-updates-panel__article-link','blog-post__section' 'latest-updates-panel__article-link', 'blog-post__section'
] ]
} }
), ),
dict(attrs={ dict(attrs={
'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}), 'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}),
dict(attrs={'id': lambda x: x and 'gpt-ad-slot' in x}),
classes( classes(
'share-links-header teaser--wrapped latest-updates-panel__container' 'share-links-header teaser--wrapped latest-updates-panel__container'
' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel' ' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel'
@ -198,6 +202,8 @@ class Economist(BasicNewsRecipe):
# downloaded with connection reset by peer (104) errors. # downloaded with connection reset by peer (104) errors.
delay = 3 delay = 3
from_archive = False
recipe_specific_options = { recipe_specific_options = {
'date': { 'date': {
'short': 'The date of the edition to download (YYYY-MM-DD format)', 'short': 'The date of the edition to download (YYYY-MM-DD format)',
@ -245,164 +251,118 @@ class Economist(BasicNewsRecipe):
) )
return ans return ans
if use_archive: def get_content_id(self, ed_date):
def parse_index(self): id_query = {
edition_date = self.recipe_specific_options.get('date') 'query': 'query EditionsQuery($from:Int$size:Int$ref:String!){section:canonical(ref:$ref){...EditionFragment __typename}}fragment EditionFragment on Content{hasPart(from:$from size:$size sort:"datePublished:desc"){total parts{id datePublished image{...ImageCoverFragment __typename}__typename}__typename}__typename}fragment ImageCoverFragment on Media{cover{headline width height url{canonical __typename}regionsAllowed __typename}__typename}',
# return self.economist_test_article() 'operationName': 'EditionsQuery',
# url = 'https://www.economist.com/weeklyedition/archive' 'variables':'{"from":0,"size":24,"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}',
}
id_url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(id_query, safe='()!', quote_via=quote)
raw_id_data = self.index_to_soup(id_url, raw=True)
data = json.loads(raw_id_data)['data']['section']['hasPart']['parts']
for x in data:
if ed_date in x['datePublished']:
return x['id']
raise ValueError(ed_date, ' not found.')
def parse_index(self):
edition_date = self.recipe_specific_options.get('date')
# return self.economist_test_article()
# url = 'https://www.economist.com/weeklyedition/archive'
query = {
'query': 'query LatestWeeklyAutoEditionQuery($ref:String!){canonical(ref:$ref){hasPart(from:0 size:1 sort:"datePublished:desc"){parts{...WeeklyEditionFragment __typename}__typename}__typename}}fragment WeeklyEditionFragment on Content{id type datePublished image{...ImageCoverFragment __typename}url{canonical __typename}hasPart(size:100 sort:"publication.context.position"){parts{...ArticleFragment __typename}__typename}__typename}fragment ArticleFragment on Content{ad{grapeshot{channels{name __typename}__typename}__typename}articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished dateRevised flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}topic contentIdentity{forceAppWebview mediaType articleType __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}fragment ImageCoverFragment on Media{cover{headline width height url{canonical __typename}regionsAllowed __typename}__typename}', # noqa
'operationName': 'LatestWeeklyAutoEditionQuery',
'variables': '{"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}',
}
if edition_date and isinstance(edition_date, str):
content_id = self.get_content_id(edition_date)
query = { query = {
'query': 'query LatestWeeklyAutoEditionQuery($ref:String!){canonical(ref:$ref){hasPart(from:0 size:1 sort:"datePublished:desc"){parts{...WeeklyEditionFragment __typename}__typename}__typename}}fragment WeeklyEditionFragment on Content{id type datePublished image{...ImageCoverFragment __typename}url{canonical __typename}hasPart(size:100 sort:"publication.context.position"){parts{...ArticleFragment __typename}__typename}__typename}fragment ArticleFragment on Content{ad{grapeshot{channels{name __typename}__typename}__typename}articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished dateRevised flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}topic contentIdentity{forceAppWebview mediaType articleType __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}fragment ImageCoverFragment on Media{cover{headline width height url{canonical __typename}regionsAllowed __typename}__typename}', # noqa 'query': 'query SpecificWeeklyEditionQuery($path:String!){section:canonical(ref:$path){...WeeklyEditionFragment __typename}}fragment WeeklyEditionFragment on Content{id type datePublished image{...ImageCoverFragment __typename}url{canonical __typename}hasPart(size:100 sort:"publication.context.position"){parts{...ArticleFragment __typename}__typename}__typename}fragment ArticleFragment on Content{articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}fragment ImageCoverFragment on Media{cover{headline width height url{canonical __typename}regionsAllowed __typename}__typename}', # noqa
'operationName': 'LatestWeeklyAutoEditionQuery', 'operationName': 'SpecificWeeklyEditionQuery',
'variables': '{"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}', 'variables': '{{"path":"{}"}}'.format(content_id),
} }
if edition_date and isinstance(edition_date, str): url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote)
url = 'https://www.economist.com/weeklyedition/' + edition_date try:
soup = self.index_to_soup(url) raw = self.index_to_soup(url, raw=True)
script_tag = soup.find("script", id="__NEXT_DATA__") except Exception:
if script_tag is None: self.log('Fetching articles from web archive.')
raise ValueError('No script tag with JSON data found in the weeklyedition archive') self.from_archive = True
data = json.loads(script_tag.string) return self.parse_web_index()
content_id = data['props']['pageProps']['content']['id'].split('/')[-1] ans = self.economist_parse_index(raw)
query = { return self.economist_return_index(ans)
'query': 'query SpecificWeeklyEditionQuery($path:String!){section:canonical(ref:$path){...WeeklyEditionFragment __typename}}fragment WeeklyEditionFragment on Content{id type datePublished image{...ImageCoverFragment __typename}url{canonical __typename}hasPart(size:100 sort:"publication.context.position"){parts{...ArticleFragment __typename}__typename}__typename}fragment ArticleFragment on Content{ad{grapeshot{channels{name __typename}__typename}__typename}articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished dateRevised flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}topic contentIdentity{forceAppWebview mediaType articleType __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}fragment ImageCoverFragment on Media{cover{headline width height url{canonical __typename}regionsAllowed __typename}__typename}', # noqa
'operationName': 'SpecificWeeklyEditionQuery', def economist_parse_index(self, raw):
'variables': '{{"path":"/content/{}"}}'.format(content_id), edition_date = self.recipe_specific_options.get('date')
} if edition_date and isinstance(edition_date, str):
url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote) data = json.loads(raw)['data']['section']
else:
data = json.loads(raw)['data']['canonical']['hasPart']['parts'][0]
dt = datetime.fromisoformat(data['datePublished'][:-1]) + timedelta(seconds=time.timezone)
dt = dt.strftime('%b %d, %Y')
self.timefmt = ' [' + dt + ']'
# get local issue cover, title
try:
region = json.loads(self.index_to_soup('https://geolocation-db.com/json', raw=True))['country_code']
except Exception:
region = ''
for cov in data['image']['cover']:
if region in cov['regionsAllowed']:
self.description = cov['headline']
self.cover_url = cov['url']['canonical'].replace('economist.com/',
'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
break
else:
self.description = data['image']['cover'][0]['headline']
self.cover_url = data['image']['cover'][0]['url']['canonical'].replace('economist.com/',
'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
self.log('Got cover:', self.cover_url, '\n', self.description)
feeds_dict = defaultdict(list)
for part in safe_dict(data, "hasPart", "parts"):
try: try:
raw = self.index_to_soup(url, raw=True) section = part['articleSection']['internal'][0]['title']
except Exception: except Exception:
raise ValueError('Server is not reachable, try again after some time.') section = safe_dict(part, 'print', 'section', 'title') or 'section'
ans = self.economist_parse_index(raw) if section not in feeds_dict:
return self.economist_return_index(ans) self.log(section)
title = safe_dict(part, "title")
desc = safe_dict(part, "rubric") or ''
sub = safe_dict(part, "flyTitle") or ''
if sub and section != sub:
desc = sub + ' :: ' + desc
pt = PersistentTemporaryFile('.html')
pt.write(json.dumps(part).encode('utf-8'))
pt.close()
url = 'file:///' + pt.name
feeds_dict[section].append({"title": title, "url": url, "description": desc})
self.log('\t', title, '\n\t\t', desc)
return [(section, articles) for section, articles in feeds_dict.items()]
def economist_parse_index(self, raw): def populate_article_metadata(self, article, soup, first):
edition_date = self.recipe_specific_options.get('date') if not self.from_archive:
if edition_date and isinstance(edition_date, str):
data = json.loads(raw)['data']['section']
else:
data = json.loads(raw)['data']['canonical']['hasPart']['parts'][0]
dt = datetime.fromisoformat(data['datePublished'][:-1]) + timedelta(seconds=time.timezone)
dt = dt.strftime('%b %d, %Y')
self.timefmt = ' [' + dt + ']'
# get local issue cover, title
try:
region = json.loads(self.index_to_soup('https://geolocation-db.com/json', raw=True))['country_code']
except Exception:
region = ''
for cov in data['image']['cover']:
if region in cov['regionsAllowed']:
self.description = cov['headline']
self.cover_url = cov['url']['canonical'].replace('economist.com/',
'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
break
else:
self.description = data['image']['cover'][0]['headline']
self.cover_url = data['image']['cover'][0]['url']['canonical'].replace('economist.com/',
'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
self.log('Got cover:', self.cover_url, '\n', self.description)
feeds_dict = defaultdict(list)
for part in safe_dict(data, "hasPart", "parts"):
try:
section = part['articleSection']['internal'][0]['title']
except Exception:
section = safe_dict(part, 'print', 'section', 'title') or 'section'
if section not in feeds_dict:
self.log(section)
title = safe_dict(part, "title")
desc = safe_dict(part, "rubric") or ''
sub = safe_dict(part, "flyTitle") or ''
if sub and section != sub:
desc = sub + ' :: ' + desc
pt = PersistentTemporaryFile('.html')
pt.write(json.dumps(part).encode('utf-8'))
pt.close()
url = 'file:///' + pt.name
feeds_dict[section].append({"title": title, "url": url, "description": desc})
self.log('\t', title, '\n\t\t', desc)
return [(section, articles) for section, articles in feeds_dict.items()]
def populate_article_metadata(self, article, soup, first):
article.url = soup.find('h1')['title'] article.url = soup.find('h1')['title']
def preprocess_html(self, soup): def preprocess_html(self, soup):
width = '600' if self.from_archive:
w = self.recipe_specific_options.get('res') return self.preprocess_web_html(soup)
if w and isinstance(w, str): width = '600'
width = w w = self.recipe_specific_options.get('res')
for img in soup.findAll('img', src=True): if w and isinstance(w, str):
qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/' width = w
img['src'] = img['src'].replace('economist.com/', qua) for img in soup.findAll('img', src=True):
return soup qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
img['src'] = img['src'].replace('economist.com/', qua)
else: # Load articles from individual article pages {{{ return soup
def __init__(self, *args, **kwargs):
BasicNewsRecipe.__init__(self, *args, **kwargs)
if self.output_profile.short_name.startswith('kindle'):
# Reduce image sizes to get file size below amazon's email
# sending threshold
self.web2disk_options.compress_news_images = True
self.web2disk_options.compress_news_images_auto_size = 5
self.log.warn('Kindle Output profile being used, reducing image quality to keep file size below amazon email threshold')
def parse_index(self):
edition_date = self.recipe_specific_options.get('date')
# return self.economist_test_article()
if edition_date and isinstance(edition_date, str):
url = 'https://www.economist.com/weeklyedition/' + edition_date
self.timefmt = ' [' + edition_date + ']'
else:
url = 'https://www.economist.com/weeklyedition'
soup = self.index_to_soup(url)
ans = self.economist_parse_index(soup)
return self.economist_return_index(ans)
def economist_parse_index(self, soup):
script_tag = soup.find("script", id="__NEXT_DATA__")
if script_tag is not None:
data = json.loads(script_tag.string)
# open('/t/raw.json', 'w').write(json.dumps(data, indent=2, sort_keys=True))
self.description = safe_dict(data, "props", "pageProps", "content", "image", "main", "headline")
self.timefmt = ' [' + safe_dict(data, "props", "pageProps", "content", "datePublishedString") + ']'
self.cover_url = safe_dict(data, "props", "pageProps", "content", "image", "main", "url", "canonical")
self.log('Got cover:', self.cover_url)
feeds_dict = defaultdict(list)
for part in safe_dict(data, "props", "pageProps", "content", "hasPart", "parts"):
section = safe_dict(part, "print", "section", "headline") or ''
title = safe_dict(part, "headline") or ''
url = safe_dict(part, "url", "canonical") or ''
if not section or not title or not url:
continue
desc = safe_dict(part, "description") or ''
sub = safe_dict(part, "subheadline") or ''
if sub and section != sub:
desc = sub + ' :: ' + desc
feeds_dict[section].append({"title": title, "url": url, "description": desc})
self.log(' ', title, url, '\n ', desc)
return [(section, articles) for section, articles in feeds_dict.items()]
else:
return []
# }}}
def preprocess_raw_html(self, raw, url): def preprocess_raw_html(self, raw, url):
if self.from_archive:
return self.preprocess_raw_web_html(raw, url)
# open('/t/raw.html', 'wb').write(raw.encode('utf-8')) # open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
if use_archive:
body = '<html><body><article></article></body></html>' body = '<html><body><article></article></body></html>'
root = parse(body) root = parse(body)
load_article_from_json(raw, root) load_article_from_json(raw, root)
else:
root = parse(raw)
script = root.xpath('//script[@id="__NEXT_DATA__"]')
if script:
try:
load_article_from_json(script[0].text, root)
except JSONHasNoContent:
cleanup_html_article(root)
if '/interactive/' in url: if '/interactive/' in url:
return '<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>' \ return '<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>' \
@ -495,11 +455,119 @@ class Economist(BasicNewsRecipe):
url = url.rpartition('/')[0] url = url.rpartition('/')[0]
return BasicNewsRecipe.canonicalize_internal_url(self, url, is_link=is_link) return BasicNewsRecipe.canonicalize_internal_url(self, url, is_link=is_link)
# archive code
def parse_web_index(self):
edition_date = self.recipe_specific_options.get('date')
# return self.economist_test_article()
if edition_date and isinstance(edition_date, str):
url = 'https://www.economist.com/weeklyedition/' + edition_date
self.timefmt = ' [' + edition_date + ']'
else:
url = 'https://www.economist.com/weeklyedition'
soup = self.index_to_soup(url)
ans = self.economist_parse_web_index(soup)
return self.economist_return_index(ans)
def get_login_cookies(username, password): def economist_parse_web_index(self, soup):
print(33333333333, username, password) script_tag = soup.find("script", id="__NEXT_DATA__")
if script_tag is not None:
data = json.loads(script_tag.string)
# open('/t/raw.json', 'w').write(json.dumps(data, indent=2, sort_keys=True))
self.description = safe_dict(data, "props", "pageProps", "content", "image", "main", "headline")
self.timefmt = ' [' + safe_dict(data, "props", "pageProps", "content", "formattedIssueDate") + ']'
self.cover_url = safe_dict(data, "props", "pageProps", "content", "image", "main", "url", "canonical").replace(
'economist.com/', 'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/'
)
self.log('Got cover:', self.cover_url)
feeds_dict = defaultdict(list)
for part in safe_dict(data, "props", "pageProps", "content", "hasPart", "parts"):
section = safe_dict(part, "print", "section", "headline") or ''
title = safe_dict(part, "headline") or ''
url = safe_dict(part, "url", "canonical") or ''
if not section or not title or not url:
continue
desc = safe_dict(part, "description") or ''
sub = safe_dict(part, "subheadline") or ''
if sub and section != sub:
desc = sub + ' :: ' + desc
feeds_dict[section].append({"title": title, "url": url, "description": desc})
self.log(' ', title, url, '\n ', desc)
return [(section, articles) for section, articles in feeds_dict.items()]
else:
return []
if __name__ == '__main__': def preprocess_raw_web_html(self, raw, url):
import sys # open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
get_login_cookies(sys.argv[-2], sys.argv[-1]) root = parse(raw)
if '/interactive/' in url:
return '<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>' \
+ 'This article is supposed to be read in a browser' \
+ '</em></article></body></html>'
script = root.xpath('//script[@id="__NEXT_DATA__"]')
if script:
try:
load_article_from_web_json(script[0].text, root)
except JSONHasNoContent:
cleanup_html_article(root)
for div in root.xpath('//div[@class="lazy-image"]'):
noscript = list(div.iter('noscript'))
if noscript and noscript[0].text:
img = list(parse(noscript[0].text).iter('img'))
if img:
p = noscript[0].getparent()
idx = p.index(noscript[0])
p.insert(idx, p.makeelement('img', src=img[0].get('src')))
p.remove(noscript[0])
for x in root.xpath('//*[name()="script" or name()="style" or name()="source" or name()="meta"]'):
x.getparent().remove(x)
raw = etree.tostring(root, encoding='unicode')
raw_ar = read_url([], 'https://archive.is/latest/' + url)
archive = BeautifulSoup(str(raw_ar))
art = archive.find('article')
if art:
bdy = art.findAll('section')
if len(bdy) != 0:
content = bdy[-1]
else:
content = archive.find('div', attrs={'itemprop':'text'})
soup = BeautifulSoup(raw)
article = soup.find('section', attrs={'id':'body'})
if not article:
article = soup.find('div', attrs={'itemprop':'text'})
if not article:
article = soup.find(attrs={'itemprop':'blogPost'})
if article and content:
self.log('**fetching archive content')
article.append(content)
div = soup.findAll(attrs={'style': lambda x: x and x.startswith(
('color:rgb(13, 13, 13);', 'color: rgb(18, 18, 18);')
)})
for p in div:
p.name = 'p'
return str(soup)
return raw
return raw
def preprocess_web_html(self, soup):
for img in soup.findAll('img', attrs={'old-src':True}):
img['src'] = img['old-src']
for a in soup.findAll('a', href=True):
a['href'] = 'http' + a['href'].split('http')[-1]
for fig in soup.findAll('figure'):
fig['class'] = 'sub'
for sty in soup.findAll(attrs={'style':True}):
del sty['style']
width = '600'
w = self.recipe_specific_options.get('res')
if w and isinstance(w, str):
width = w
for img in soup.findAll('img', src=True):
if '/cdn-cgi/image/' not in img['src']:
qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
img['src'] = img['src'].replace('economist.com/', qua)
else:
img['src'] = re.sub(r'width=\d+', 'width=' + width, img['src'])
return soup