Cutlery/calibre
1
0
Fork 0
mirror of https://github.com/kovidgoyal/calibre.git synced 2025-07-09 03:04:10 -04:00
Code Issues Packages Projects Releases Wiki Activity

Update 1843.recipe

Browse Source
This commit is contained in:
unkn0w7n 2025-03-11 18:40:12 +05:30
parent 108961909c
commit bddf81700e
1 changed files with 119 additions and 240 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

359
recipes/1843.recipe
View File

@ -1,47 +1,45 @@
#!/usr/bin/env python #!/usr/bin/env python
# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>
import json import json
import time import time
from collections import defaultdict
from datetime import datetime, timedelta from datetime import datetime, timedelta
from urllib.parse import quote, urlencode
from html5_parser import parse from html5_parser import parse
from lxml import etree from lxml import etree
from calibre import replace_entities
from calibre.ebooks.BeautifulSoup import NavigableString, Tag from calibre.ebooks.BeautifulSoup import NavigableString, Tag
from calibre.ptempfile import PersistentTemporaryFile
from calibre.web.feeds.news import BasicNewsRecipe from calibre.web.feeds.news import BasicNewsRecipe
use_archive = True
def process_node(node):
def E(parent, name, text='', **attrs): ntype = node.get('type', '')
ans = parent.makeelement(name, **attrs) if ntype == 'CROSSHEAD':
ans.text = text if node.get('textHtml'):
parent.append(ans) return f'<h4>{node.get("textHtml")}</h4>'
return ans return f'<h4>{node.get("text", "")}</h4>'
elif ntype == 'PARAGRAPH':
if node.get('textHtml'):
def process_node(node, html_parent): return f'<p>{node.get("textHtml")}</p>'
ntype = node.get('type') return f'<p>{node.get("text", "")}</p>'
if ntype == 'tag': elif ntype == 'IMAGE':
c = html_parent.makeelement(node['name']) alt = '' if node.get('altText') is None else node.get('altText')
c.attrib.update({k: v or '' for k, v in node.get('attribs', {}).items()}) cap = ''
html_parent.append(c) if node.get('caption'):
for nc in node.get('children', ()): if node['caption'].get('textHtml') is not None:
process_node(nc, c) cap = node['caption']['textHtml']
elif ntype == 'text': return f'<div><img src="{node["url"]}" title="{alt}"></div><div style="text-align:center; font-size:small;">{cap}</div>'
text = node.get('data') elif ntype == 'PULL_QUOTE':
if text: if node.get('textHtml'):
text = replace_entities(text) return f'<blockquote>{node.get("textHtml")}</blockquote>'
if len(html_parent): return f'<blockquote>{node.get("text", "")}</blockquote>'
t = html_parent[-1] elif ntype == 'DIVIDER':
t.tail = (t.tail or '') + text return '<hr>'
else: elif ntype == 'INFOBOX':
html_parent.text = (html_parent.text or '') + text for x in safe_dict(node, 'components'):
return f'<blockquote>{process_node(x)}</blockquote>'
elif ntype:
print('** ', ntype)
return ''
def safe_dict(data, *names): def safe_dict(data, *names):
@ -55,63 +53,32 @@ class JSONHasNoContent(ValueError):
pass pass
if use_archive: def load_article_from_json(raw):
def load_article_from_json(raw, root): # open('/t/raw.json', 'w').write(raw)
# open('/t/raw.json', 'w').write(raw) body = ''
data = json.loads(raw) try:
body = root.xpath('//body')[0] data = json.loads(raw)['props']['pageProps']['cp2Content']
article = E(body, 'article') except Exception:
E(article, 'div', data['flyTitle'], style='color: red; font-size:small; font-weight:bold;') data = json.loads(raw)['props']['pageProps']['content']
E(article, 'h1', data['title'], title=safe_dict(data, 'url', 'canonical') or '') body += f'<div style="color: red; font-size:small; font-weight:bold;">{data.get("flyTitle", "")}</div>'
E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;') body += f'<h1>{data["headline"]}</h1>'
try: body += f'<div style="font-style: italic; color:#202020;">{data.get("rubric", "")}</div>'
date = data['dateModified'] try:
except Exception: date = data['dateModified']
date = data['datePublished'] except Exception:
dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone) date = data['datePublished']
dt = dt.strftime('%b %d, %Y, %I:%M %p') dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
if data['dateline'] is None: dt = dt.strftime('%b %d, %Y %I:%M %p')
E(article, 'p', dt, style='color: gray; font-size:small;') if data.get('dateline') is None:
else: body += f'<p style="color: gray; font-size: small;">{dt}</p>'
E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;') else:
main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical') body += f'<p style="color: gray; font-size: small;">{dt + " | " + (data["dateline"])}</p>'
if main_image_url: main_image_url = safe_dict(data, 'leadComponent') or ''
div = E(article, 'div') if main_image_url:
try: body += process_node(data['leadComponent'])
E(div, 'img', src=main_image_url) for node in data.get('body'):
except Exception: body += process_node(node)
pass return '<html><body><article>' + body + '</article></body></html>'
for node in data.get('text') or ():
process_node(node, article)
else:
def load_article_from_json(raw, root):
# open('/t/raw.json', 'w').write(raw)
try:
data = json.loads(raw)['props']['pageProps']['content']
except KeyError as e:
raise JSONHasNoContent(e)
if isinstance(data, list):
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):
@ -151,40 +118,43 @@ def process_url(url):
return url return url
class Economist(BasicNewsRecipe): class Econ1843(BasicNewsRecipe):
title = '1843' title = 'Economist 1843'
language = 'en_GB' language = 'en'
encoding = 'utf-8' encoding = 'utf-8'
masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png' masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png'
__author__ = 'Kovid Goyal' __author__ = 'unkn0wn'
description = ( description = (
'Published since September 1843 to take part in “a severe contest between intelligence, which presses forward, and ' 'Published since September 1843 to take part in “a severe contest between intelligence, which presses forward, and '
'an unworthy, timid ignorance obstructing our progress.”' 'an unworthy, timid ignorance obstructing our progress.”'
) )
cover_url = 'https://pbs.twimg.com/media/FQtV6T0WYAYDxKY?format=jpg&name=orig'
extra_css = ''' extra_css = '''
em { color:#202020; } em { color:#202020; }
img {display:block; margin:0 auto;} img {display:block; margin:0 auto;}
''' '''
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'
@ -195,20 +165,30 @@ class Economist(BasicNewsRecipe):
remove_attributes = ['data-reactid', 'width', 'height'] remove_attributes = ['data-reactid', 'width', 'height']
# economist.com has started throttling after about 60% of the total has # economist.com has started throttling after about 60% of the total has
# downloaded with connection reset by peer (104) errors. # downloaded with connection reset by peer (104) errors.
delay = 1 delay = 3
remove_empty_feeds = True
ignore_duplicate_articles = {'title'}
needs_subscription = False needs_subscription = False
recipe_specific_options = {
'res': {
'short': 'For hi-res images, select a resolution from the\nfollowing options: 834, 960, 1096, 1280, 1424',
'long': 'This is useful for non e-ink devices, and for a lower file size\nthan the default, use from 480, 384, 360, 256.',
'default': '600',
},
}
def get_browser(self, *args, **kwargs): def get_browser(self, *args, **kwargs):
# Needed to bypass cloudflare kwargs['user_agent'] = (
kwargs['user_agent'] = 'common_words/based' 'Mozilla/5.0 (Linux; Android 14) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.6533.103 Mobile Safari/537.36 Lamarr'
)
br = BasicNewsRecipe.get_browser(self, *args, **kwargs) br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
br.addheaders += [('Accept-Language', 'en-GB,en-US;q=0.9,en;q=0.8')]
return br return br
def economist_test_article(self): def economist_test_article(self):
return [('Articles', [{'title':'test', return [('Articles', [{'title':'test',
'url':'https://www.economist.com/the-americas/2024/04/14/elon-musk-is-feuding-with-brazils-powerful-supreme-court' 'url':'https://www.economist.com/1843/2025/03/05/the-great-pretender-how-ahmed-al-sharaa-won-syria'
}])] }])]
def economist_return_index(self, ans): def economist_return_index(self, ans):
@ -221,147 +201,55 @@ class Economist(BasicNewsRecipe):
) )
return ans return ans
if use_archive: def parse_index(self):
def parse_index(self): # return self.economist_test_article()
# return self.economist_test_article() self.title = '1843'
soup = self.index_to_soup('https://www.economist.com/hidden-content/1843magazine-hub') raw = self.index_to_soup('https://www.economist.com/1843')
script_tag = soup.find('script', id='__NEXT_DATA__') ans = self.economist_parse_index(raw)
if script_tag is None: return self.economist_return_index(ans)
raise ValueError('No script tag with JSON data found in the weeklyedition archive')
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) data = json.loads(script_tag.string)
content_id = data['props']['pageProps']['content'][0]['tegID'].split('/')[-1] # open('/t/raw.json', 'w').write(json.dumps(data, indent=2, sort_keys=True))
query = {
'query': 'query HubsDataQuery($id:String!$size:Int!){canonical(ref:$id){id headline description url{canonical __typename}image{ident{url{canonical __typename}width height __typename}__typename}text(mode:"hub" format:"json")hasPart(size:$size){parts{id title:headline isPartOf{context{title:headline __typename}__typename}hasPart{parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__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}', # noqa: E501
'operationName': 'HubsDataQuery',
'variables': '{{"id":"/content/{}","size":40}}'.format(content_id),
}
url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote)
try:
raw = self.index_to_soup(url, raw=True)
except Exception:
raise ValueError('Server is not reachable, try again some other time.')
ans = self.economist_parse_index(raw)
return self.economist_return_index(ans)
def economist_parse_index(self, raw): feeds = []
data = json.loads(raw)['data']['canonical']
self.description = data['description']
feeds_dict = defaultdict(list) for part in safe_dict(data, 'props', 'pageProps', 'content', 'articles'):
for part in safe_dict(data, 'hasPart', 'parts'): title = safe_dict(part, 'headline') or ''
section = part['title'] url = process_url(safe_dict(part, 'url') or '')
self.log(section) desc = safe_dict(part, 'rubric') or ''
for art in safe_dict(part, 'hasPart', 'parts'): sub = safe_dict(part, 'flyTitle') or ''
title = safe_dict(art, 'title') if sub:
desc = safe_dict(art, 'rubric') or '' desc = sub + ' :: ' + desc
sub = safe_dict(art, 'flyTitle') or '' self.log('\t', title, '\n\t', desc, '\n\t\t', url)
if sub and section != sub: feeds.append({'title': title, 'description':desc, 'url': url})
desc = sub + ' :: ' + desc return [('Articles', feeds)]
pt = PersistentTemporaryFile('.html')
pt.write(json.dumps(art).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 list(feeds_dict.items())
def populate_article_metadata(self, article, soup, first): def preprocess_html(self, soup):
article.url = soup.find('h1')['title'] width = '600'
w = self.recipe_specific_options.get('res')
def preprocess_html(self, soup): if w and isinstance(w, str):
for img in soup.findAll('img', src=True): width = w
img['src'] = img['src'].replace('economist.com/', for img in soup.findAll('img', src=True):
'economist.com/cdn-cgi/image/width=600,quality=80,format=auto/') qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
return soup img['src'] = img['src'].replace('economist.com/', qua)
return soup
else: # Load articles from individual article pages {{{
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):
# return [('Articles', [{'title':'test',
# 'url':'https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress'
# }])]
url = 'https://www.economist.com/the-world-ahead'
# raw = open('/t/raw.html').read()
raw = self.index_to_soup(url, raw=True)
# with open('/t/raw.html', 'wb') as f:
# f.write(raw)
soup = self.index_to_soup(raw)
# nav = soup.find(attrs={'class':'navigation__wrapper'})
# if nav is not None:
# a = nav.find('a', href=lambda x: x and '/printedition/' in x)
# if a is not None:
# self.log('Following nav link to current edition', a['href'])
# soup = self.index_to_soup(process_url(a['href']))
ans = self.economist_parse_index(soup)
if not ans:
raise NoArticles(
'Could not find any articles, either the '
'economist.com server is having trouble and you should '
'try later or the website format has changed and the '
'recipe needs to be updated.'
)
return 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.title = safe_dict(data, 'props', 'pageProps', 'content', 'headline')
# self.cover_url = 'https://mma.prnewswire.com/media/2275620/The_Economist_The_World_Ahead_2024.jpg?w=600'
feeds = []
for coll in safe_dict(data, 'props', 'pageProps', 'content', 'collections'):
section = safe_dict(coll, 'headline') or ''
self.log(section)
articles = []
for part in safe_dict(coll, 'hasPart', 'parts'):
title = safe_dict(part, 'headline') or ''
url = safe_dict(part, 'url', 'canonical') or ''
if not title or not url:
continue
desc = safe_dict(part, 'description') or ''
sub = safe_dict(part, 'subheadline') or ''
if sub:
desc = sub + ' :: ' + desc
self.log('\t', title, '\n\t', desc, '\n\t\t', url)
articles.append({'title': title, 'description':desc, 'url': url})
if articles:
feeds.append((section, articles))
return feeds
# }}}
def preprocess_raw_html(self, raw, url): def preprocess_raw_html(self, 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: root_ = parse(raw)
body = '<html><body><article></article></body></html>'
root = parse(body)
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>'
'This article is supposed to be read in a browser.' 'This article is supposed to be read in a browser.'
'</em></article></body></html>') '</em></article></body></html>')
script = root_.xpath('//script[@id="__NEXT_DATA__"]')
html = load_article_from_json(script[0].text)
root = parse(html)
for div in root.xpath('//div[@class="lazy-image"]'): for div in root.xpath('//div[@class="lazy-image"]'):
noscript = list(div.iter('noscript')) noscript = list(div.iter('noscript'))
if noscript and noscript[0].text: if noscript and noscript[0].text:
@ -418,12 +306,3 @@ class Economist(BasicNewsRecipe):
if url.endswith('/print'): if url.endswith('/print'):
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)
def get_login_cookies(username, password):
print(33333333333, username, password)
if __name__ == '__main__':
import sys
get_login_cookies(sys.argv[-2], sys.argv[-1])