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Update 1843.recipe
This commit is contained in:
unkn0w7n
parent
108961909c
commit
bddf81700e
@ -1,47 +1,45 @@
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#!/usr/bin/env python
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# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>
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import json
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import time
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from collections import defaultdict
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from datetime import datetime, timedelta
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from urllib.parse import quote, urlencode
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from html5_parser import parse
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from lxml import etree
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from calibre import replace_entities
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from calibre.ebooks.BeautifulSoup import NavigableString, Tag
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from calibre.ptempfile import PersistentTemporaryFile
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from calibre.web.feeds.news import BasicNewsRecipe
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use_archive = True
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def E(parent, name, text='', **attrs):
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ans = parent.makeelement(name, **attrs)
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ans.text = text
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parent.append(ans)
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return ans
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def process_node(node, html_parent):
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ntype = node.get('type')
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if ntype == 'tag':
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c = html_parent.makeelement(node['name'])
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c.attrib.update({k: v or '' for k, v in node.get('attribs', {}).items()})
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html_parent.append(c)
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for nc in node.get('children', ()):
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process_node(nc, c)
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elif ntype == 'text':
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text = node.get('data')
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if text:
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text = replace_entities(text)
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if len(html_parent):
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t = html_parent[-1]
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t.tail = (t.tail or '') + text
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else:
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html_parent.text = (html_parent.text or '') + text
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def process_node(node):
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ntype = node.get('type', '')
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if ntype == 'CROSSHEAD':
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if node.get('textHtml'):
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return f'<h4>{node.get("textHtml")}</h4>'
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return f'<h4>{node.get("text", "")}</h4>'
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elif ntype == 'PARAGRAPH':
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if node.get('textHtml'):
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return f'<p>{node.get("textHtml")}</p>'
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return f'<p>{node.get("text", "")}</p>'
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elif ntype == 'IMAGE':
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alt = '' if node.get('altText') is None else node.get('altText')
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cap = ''
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if node.get('caption'):
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if node['caption'].get('textHtml') is not None:
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cap = node['caption']['textHtml']
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return f'<div><img src="{node["url"]}" title="{alt}"></div><div style="text-align:center; font-size:small;">{cap}</div>'
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elif ntype == 'PULL_QUOTE':
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if node.get('textHtml'):
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return f'<blockquote>{node.get("textHtml")}</blockquote>'
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return f'<blockquote>{node.get("text", "")}</blockquote>'
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elif ntype == 'DIVIDER':
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return '<hr>'
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elif ntype == 'INFOBOX':
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for x in safe_dict(node, 'components'):
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return f'<blockquote>{process_node(x)}</blockquote>'
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elif ntype:
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print('** ', ntype)
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return ''
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def safe_dict(data, *names):
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@ -55,63 +53,32 @@ class JSONHasNoContent(ValueError):
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pass
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if use_archive:
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def load_article_from_json(raw, root):
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# open('/t/raw.json', 'w').write(raw)
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data = json.loads(raw)
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body = root.xpath('//body')[0]
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article = E(body, 'article')
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E(article, 'div', data['flyTitle'], style='color: red; font-size:small; font-weight:bold;')
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E(article, 'h1', data['title'], title=safe_dict(data, 'url', 'canonical') or '')
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E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;')
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try:
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date = data['dateModified']
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except Exception:
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date = data['datePublished']
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dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
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dt = dt.strftime('%b %d, %Y, %I:%M %p')
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if data['dateline'] is None:
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E(article, 'p', dt, style='color: gray; font-size:small;')
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else:
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E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
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main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
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if main_image_url:
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div = E(article, 'div')
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try:
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E(div, 'img', src=main_image_url)
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except Exception:
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pass
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for node in data.get('text') or ():
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process_node(node, article)
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else:
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def load_article_from_json(raw, root):
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# open('/t/raw.json', 'w').write(raw)
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try:
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data = json.loads(raw)['props']['pageProps']['content']
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except KeyError as e:
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raise JSONHasNoContent(e)
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if isinstance(data, list):
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data = data[0]
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body = root.xpath('//body')[0]
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for child in tuple(body):
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body.remove(child)
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article = E(body, 'article')
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E(article, 'div', replace_entities(data['subheadline']), style='color: red; font-size:small; font-weight:bold;')
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E(article, 'h1', replace_entities(data['headline']))
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E(article, 'div', replace_entities(data['description']), style='font-style: italic; color:#202020;')
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if data['dateline'] is None:
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E(article, 'p', (data['datePublishedString'] or ''), style='color: gray; font-size:small;')
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else:
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E(article, 'p', (data['datePublishedString'] or '') + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
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main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
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if main_image_url:
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div = E(article, 'div')
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try:
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E(div, 'img', src=main_image_url)
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except Exception:
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pass
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for node in data.get('text') or ():
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process_node(node, article)
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def load_article_from_json(raw):
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# open('/t/raw.json', 'w').write(raw)
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body = ''
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try:
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data = json.loads(raw)['props']['pageProps']['cp2Content']
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except Exception:
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data = json.loads(raw)['props']['pageProps']['content']
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body += f'<div style="color: red; font-size:small; font-weight:bold;">{data.get("flyTitle", "")}</div>'
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body += f'<h1>{data["headline"]}</h1>'
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body += f'<div style="font-style: italic; color:#202020;">{data.get("rubric", "")}</div>'
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try:
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date = data['dateModified']
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except Exception:
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date = data['datePublished']
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dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
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dt = dt.strftime('%b %d, %Y %I:%M %p')
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if data.get('dateline') is None:
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body += f'<p style="color: gray; font-size: small;">{dt}</p>'
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else:
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body += f'<p style="color: gray; font-size: small;">{dt + " | " + (data["dateline"])}</p>'
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main_image_url = safe_dict(data, 'leadComponent') or ''
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if main_image_url:
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body += process_node(data['leadComponent'])
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for node in data.get('body'):
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body += process_node(node)
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return '<html><body><article>' + body + '</article></body></html>'
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def cleanup_html_article(root):
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@ -151,40 +118,43 @@ def process_url(url):
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return url
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class Economist(BasicNewsRecipe):
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class Econ1843(BasicNewsRecipe):
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title = '1843'
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language = 'en_GB'
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title = 'Economist 1843'
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language = 'en'
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encoding = 'utf-8'
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masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png'
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__author__ = 'Kovid Goyal'
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__author__ = 'unkn0wn'
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description = (
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'Published since September 1843 to take part in “a severe contest between intelligence, which presses forward, and '
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'an unworthy, timid ignorance obstructing our progress.”'
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)
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cover_url = 'https://pbs.twimg.com/media/FQtV6T0WYAYDxKY?format=jpg&name=orig'
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extra_css = '''
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em { color:#202020; }
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img {display:block; margin:0 auto;}
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'''
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oldest_article = 7.0
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resolve_internal_links = True
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remove_tags = [
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dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer']),
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dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer', 'svg']),
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dict(attrs={'aria-label': 'Article Teaser'}),
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dict(attrs={'id': 'player'}),
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dict(attrs={
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'class': [
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'dblClkTrk', 'ec-article-info', 'share_inline_header',
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'related-items', 'main-content-container', 'ec-topic-widget',
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'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label',
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'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel',
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'newsletter-form','share-links-header','teaser--wrapped', 'latest-updates-panel__container',
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'latest-updates-panel__article-link','blog-post__section'
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'newsletter-form', 'share-links-header', 'teaser--wrapped', 'latest-updates-panel__container',
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'latest-updates-panel__article-link', 'blog-post__section'
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]
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}
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),
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dict(attrs={
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'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}),
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dict(attrs={'id': lambda x: x and 'gpt-ad-slot' in x}),
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classes(
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'share-links-header teaser--wrapped latest-updates-panel__container'
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' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel'
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@ -195,20 +165,30 @@ class Economist(BasicNewsRecipe):
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remove_attributes = ['data-reactid', 'width', 'height']
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# economist.com has started throttling after about 60% of the total has
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# downloaded with connection reset by peer (104) errors.
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delay = 1
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delay = 3
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remove_empty_feeds = True
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ignore_duplicate_articles = {'title'}
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needs_subscription = False
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recipe_specific_options = {
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'res': {
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'short': 'For hi-res images, select a resolution from the\nfollowing options: 834, 960, 1096, 1280, 1424',
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'long': 'This is useful for non e-ink devices, and for a lower file size\nthan the default, use from 480, 384, 360, 256.',
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'default': '600',
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},
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}
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def get_browser(self, *args, **kwargs):
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# Needed to bypass cloudflare
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kwargs['user_agent'] = 'common_words/based'
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kwargs['user_agent'] = (
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'Mozilla/5.0 (Linux; Android 14) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.6533.103 Mobile Safari/537.36 Lamarr'
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)
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br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
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br.addheaders += [('Accept-Language', 'en-GB,en-US;q=0.9,en;q=0.8')]
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return br
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def economist_test_article(self):
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return [('Articles', [{'title':'test',
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'url':'https://www.economist.com/the-americas/2024/04/14/elon-musk-is-feuding-with-brazils-powerful-supreme-court'
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'url':'https://www.economist.com/1843/2025/03/05/the-great-pretender-how-ahmed-al-sharaa-won-syria'
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}])]
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def economist_return_index(self, ans):
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@ -221,147 +201,55 @@ class Economist(BasicNewsRecipe):
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)
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return ans
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if use_archive:
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def parse_index(self):
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# return self.economist_test_article()
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soup = self.index_to_soup('https://www.economist.com/hidden-content/1843magazine-hub')
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script_tag = soup.find('script', id='__NEXT_DATA__')
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if script_tag is None:
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raise ValueError('No script tag with JSON data found in the weeklyedition archive')
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def parse_index(self):
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# return self.economist_test_article()
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self.title = '1843'
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raw = self.index_to_soup('https://www.economist.com/1843')
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ans = self.economist_parse_index(raw)
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return self.economist_return_index(ans)
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def economist_parse_index(self, soup):
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script_tag = soup.find('script', id='__NEXT_DATA__')
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if script_tag is not None:
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data = json.loads(script_tag.string)
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content_id = data['props']['pageProps']['content'][0]['tegID'].split('/')[-1]
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query = {
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'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
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'operationName': 'HubsDataQuery',
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'variables': '{{"id":"/content/{}","size":40}}'.format(content_id),
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}
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url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote)
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try:
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raw = self.index_to_soup(url, raw=True)
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except Exception:
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raise ValueError('Server is not reachable, try again some other time.')
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ans = self.economist_parse_index(raw)
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return self.economist_return_index(ans)
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# open('/t/raw.json', 'w').write(json.dumps(data, indent=2, sort_keys=True))
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def economist_parse_index(self, raw):
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data = json.loads(raw)['data']['canonical']
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self.description = data['description']
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feeds = []
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feeds_dict = defaultdict(list)
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for part in safe_dict(data, 'hasPart', 'parts'):
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section = part['title']
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self.log(section)
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for art in safe_dict(part, 'hasPart', 'parts'):
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title = safe_dict(art, 'title')
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desc = safe_dict(art, 'rubric') or ''
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sub = safe_dict(art, 'flyTitle') or ''
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if sub and section != sub:
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desc = sub + ' :: ' + desc
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pt = PersistentTemporaryFile('.html')
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pt.write(json.dumps(art).encode('utf-8'))
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pt.close()
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url = 'file:///' + pt.name
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feeds_dict[section].append({'title': title, 'url': url, 'description': desc})
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self.log('\t', title, '\n\t\t', desc)
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return list(feeds_dict.items())
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for part in safe_dict(data, 'props', 'pageProps', 'content', 'articles'):
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title = safe_dict(part, 'headline') or ''
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url = process_url(safe_dict(part, 'url') or '')
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desc = safe_dict(part, 'rubric') or ''
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sub = safe_dict(part, 'flyTitle') or ''
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if sub:
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desc = sub + ' :: ' + desc
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self.log('\t', title, '\n\t', desc, '\n\t\t', url)
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feeds.append({'title': title, 'description':desc, 'url': url})
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return [('Articles', feeds)]
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def populate_article_metadata(self, article, soup, first):
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article.url = soup.find('h1')['title']
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def preprocess_html(self, soup):
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for img in soup.findAll('img', src=True):
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img['src'] = img['src'].replace('economist.com/',
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'economist.com/cdn-cgi/image/width=600,quality=80,format=auto/')
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return soup
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else: # Load articles from individual article pages {{{
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def __init__(self, *args, **kwargs):
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BasicNewsRecipe.__init__(self, *args, **kwargs)
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if self.output_profile.short_name.startswith('kindle'):
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# Reduce image sizes to get file size below amazon's email
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# sending threshold
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self.web2disk_options.compress_news_images = True
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self.web2disk_options.compress_news_images_auto_size = 5
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self.log.warn('Kindle Output profile being used, reducing image quality to keep file size below amazon email threshold')
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def parse_index(self):
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# return [('Articles', [{'title':'test',
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# 'url':'https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress'
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# }])]
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url = 'https://www.economist.com/the-world-ahead'
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# raw = open('/t/raw.html').read()
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raw = self.index_to_soup(url, raw=True)
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# with open('/t/raw.html', 'wb') as f:
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# f.write(raw)
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soup = self.index_to_soup(raw)
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# nav = soup.find(attrs={'class':'navigation__wrapper'})
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# if nav is not None:
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# a = nav.find('a', href=lambda x: x and '/printedition/' in x)
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# if a is not None:
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# self.log('Following nav link to current edition', a['href'])
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# soup = self.index_to_soup(process_url(a['href']))
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ans = self.economist_parse_index(soup)
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if not ans:
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raise NoArticles(
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'Could not find any articles, either the '
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'economist.com server is having trouble and you should '
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'try later or the website format has changed and the '
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'recipe needs to be updated.'
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)
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return ans
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def economist_parse_index(self, soup):
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script_tag = soup.find('script', id='__NEXT_DATA__')
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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_html(self, soup):
|
||||
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):
|
||||
qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
|
||||
img['src'] = img['src'].replace('economist.com/', qua)
|
||||
return soup
|
||||
|
||||
def preprocess_raw_html(self, raw, url):
|
||||
# open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
|
||||
if use_archive:
|
||||
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)
|
||||
|
||||
root_ = parse(raw)
|
||||
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.'
|
||||
'</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"]'):
|
||||
noscript = list(div.iter('noscript'))
|
||||
if noscript and noscript[0].text:
|
||||
@ -418,12 +306,3 @@ class Economist(BasicNewsRecipe):
|
||||
if url.endswith('/print'):
|
||||
url = url.rpartition('/')[0]
|
||||
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])
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user