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Update economist_free.recipe
This commit is contained in:
unkn0w7n
parent
4f5b833a78
commit
3b0fcaf924
@ -1,6 +1,7 @@
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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 re
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import json
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import time
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from collections import defaultdict
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@ -11,13 +12,12 @@ 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.scraper.simple import read_url
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from calibre.ebooks.BeautifulSoup import BeautifulSoup, NavigableString, Tag
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from calibre.ptempfile import PersistentTemporaryFile
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from calibre.utils.date import parse_only_date
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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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@ -56,63 +56,62 @@ 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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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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date = data['dateModified']
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E(div, 'img', src=main_image_url)
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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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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_web_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', data['subheadline'], id='subhead')
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E(article, 'h1', data['headline'])
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E(article, 'p', data['description'], id='desc')
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if data['dateline'] is None:
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E(article, 'p', (data['datePublishedString'] or ''), id='date')
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else:
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E(article, 'p', (data['datePublishedString'] or '') + ' | ' + (data['dateline']), id='date')
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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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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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E(div, 'img', src=main_image_url)
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except Exception:
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pass
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E(article, 'section', id='body')
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def cleanup_html_article(root):
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@ -153,7 +152,6 @@ def process_url(url):
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class Economist(BasicNewsRecipe):
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title = 'The Economist'
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language = 'en'
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encoding = 'utf-8'
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@ -167,25 +165,31 @@ class Economist(BasicNewsRecipe):
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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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.sub { font-size:small; }
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#subhead { color: #404040; font-size:small; font-weight:bold; }'
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#desc { font-style: italic; color:#202020; }
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#date { color: gray; font-size:small; }
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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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@ -198,6 +202,8 @@ class Economist(BasicNewsRecipe):
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# downloaded with connection reset by peer (104) errors.
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delay = 3
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from_archive = False
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recipe_specific_options = {
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'date': {
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'short': 'The date of the edition to download (YYYY-MM-DD format)',
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@ -245,164 +251,118 @@ 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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edition_date = self.recipe_specific_options.get('date')
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# return self.economist_test_article()
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# url = 'https://www.economist.com/weeklyedition/archive'
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def get_content_id(self, ed_date):
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id_query = {
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'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}',
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'operationName': 'EditionsQuery',
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'variables':'{"from":0,"size":24,"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}',
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}
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id_url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(id_query, safe='()!', quote_via=quote)
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raw_id_data = self.index_to_soup(id_url, raw=True)
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data = json.loads(raw_id_data)['data']['section']['hasPart']['parts']
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for x in data:
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if ed_date in x['datePublished']:
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return x['id']
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raise ValueError(ed_date, ' not found.')
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def parse_index(self):
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edition_date = self.recipe_specific_options.get('date')
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# return self.economist_test_article()
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# url = 'https://www.economist.com/weeklyedition/archive'
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query = {
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'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
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'operationName': 'LatestWeeklyAutoEditionQuery',
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'variables': '{"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}',
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}
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if edition_date and isinstance(edition_date, str):
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content_id = self.get_content_id(edition_date)
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query = {
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'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
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'operationName': 'LatestWeeklyAutoEditionQuery',
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'variables': '{"ref":"/content/d06tg8j85rifiq3oo544c6b9j61dno2n"}',
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'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
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'operationName': 'SpecificWeeklyEditionQuery',
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'variables': '{{"path":"{}"}}'.format(content_id),
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}
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if edition_date and isinstance(edition_date, str):
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url = 'https://www.economist.com/weeklyedition/' + edition_date
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soup = self.index_to_soup(url)
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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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data = json.loads(script_tag.string)
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content_id = data['props']['pageProps']['content']['id'].split('/')[-1]
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query = {
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'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
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'operationName': 'SpecificWeeklyEditionQuery',
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'variables': '{{"path":"/content/{}"}}'.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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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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self.log('Fetching articles from web archive.')
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self.from_archive = True
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return self.parse_web_index()
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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, raw):
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edition_date = self.recipe_specific_options.get('date')
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if edition_date and isinstance(edition_date, str):
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data = json.loads(raw)['data']['section']
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else:
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data = json.loads(raw)['data']['canonical']['hasPart']['parts'][0]
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dt = datetime.fromisoformat(data['datePublished'][:-1]) + timedelta(seconds=time.timezone)
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dt = dt.strftime('%b %d, %Y')
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self.timefmt = ' [' + dt + ']'
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# get local issue cover, title
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try:
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region = json.loads(self.index_to_soup('https://geolocation-db.com/json', raw=True))['country_code']
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except Exception:
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region = ''
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for cov in data['image']['cover']:
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if region in cov['regionsAllowed']:
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self.description = cov['headline']
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self.cover_url = cov['url']['canonical'].replace('economist.com/',
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'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
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break
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else:
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self.description = data['image']['cover'][0]['headline']
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self.cover_url = data['image']['cover'][0]['url']['canonical'].replace('economist.com/',
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'economist.com/cdn-cgi/image/width=960,quality=80,format=auto/')
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self.log('Got cover:', self.cover_url, '\n', self.description)
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feeds_dict = defaultdict(list)
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for part in safe_dict(data, "hasPart", "parts"):
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try:
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raw = self.index_to_soup(url, raw=True)
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section = part['articleSection']['internal'][0]['title']
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except Exception:
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raise ValueError('Server is not reachable, try again after some 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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section = safe_dict(part, 'print', 'section', 'title') or 'section'
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if section not in feeds_dict:
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self.log(section)
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title = safe_dict(part, "title")
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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 and section != sub:
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desc = sub + ' :: ' + desc
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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):
|
||||
edition_date = self.recipe_specific_options.get('date')
|
||||
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):
|
||||
def populate_article_metadata(self, article, soup, first):
|
||||
if not self.from_archive:
|
||||
article.url = soup.find('h1')['title']
|
||||
|
||||
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
|
||||
|
||||
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):
|
||||
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_html(self, soup):
|
||||
if self.from_archive:
|
||||
return self.preprocess_web_html(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):
|
||||
if self.from_archive:
|
||||
return self.preprocess_raw_web_html(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)
|
||||
|
||||
body = '<html><body><article></article></body></html>'
|
||||
root = parse(body)
|
||||
load_article_from_json(raw, root)
|
||||
|
||||
if '/interactive/' in url:
|
||||
return '<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>' \
|
||||
@ -495,11 +455,119 @@ class Economist(BasicNewsRecipe):
|
||||
url = url.rpartition('/')[0]
|
||||
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):
|
||||
print(33333333333, username, password)
|
||||
def economist_parse_web_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", "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__':
|
||||
import sys
|
||||
get_login_cookies(sys.argv[-2], sys.argv[-1])
|
||||
def preprocess_raw_web_html(self, raw, url):
|
||||
# open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
|
||||
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
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user