Update 1843.recipe

recipes/1843.recipe

@@ -1,53 +1,428 @@
-#!/usr/bin/env python
-# vim:fileencoding=utf-8
-# License: GPLv3 Copyright: 2016, Kovid Goyal <kovid at kovidgoyal.net>
+#!/usr/bin/env  python
+# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>
 
-from calibre.web.feeds.news import BasicNewsRecipe, classes
+import json
+import time
+from collections import defaultdict
+from datetime import datetime, timedelta
+from urllib.parse import quote, urlencode
+
+from calibre import replace_entities
+from calibre.ebooks.BeautifulSoup import NavigableString, Tag
+from calibre.ptempfile import PersistentTemporaryFile
+from calibre.web.feeds.news import BasicNewsRecipe
+from html5_parser import parse
+from lxml import etree
+
+use_archive = True
+
+def E(parent, name, text='', **attrs):
+    ans = parent.makeelement(name, **attrs)
+    ans.text = text
+    parent.append(ans)
+    return ans
 
 
-class E1843(BasicNewsRecipe):
+def process_node(node, html_parent):
+    ntype = node.get('type')
+    if ntype == 'tag':
+        c = html_parent.makeelement(node['name'])
+        c.attrib.update({k: v or '' for k, v in node.get('attribs', {}).items()})
+        html_parent.append(c)
+        for nc in node.get('children', ()):
+            process_node(nc, c)
+    elif ntype == 'text':
+        text = node.get('data')
+        if text:
+            text = replace_entities(text)
+            if len(html_parent):
+                t = html_parent[-1]
+                t.tail = (t.tail or '') + text
+            else:
+                html_parent.text = (html_parent.text or '') + text
+
+
+def safe_dict(data, *names):
+    ans = data
+    for x in names:
+        ans = ans.get(x) or {}
+    return ans
+
+
+class JSONHasNoContent(ValueError):
+    pass
+
+
+if use_archive:
+    def load_article_from_json(raw, root):
+        # open('/t/raw.json', 'w').write(raw)
+        data = json.loads(raw)
+        body = root.xpath('//body')[0]
+        article = E(body, 'article')
+        E(article, 'div', data['flyTitle'] , style='color: red; font-size:small; font-weight:bold;')
+        E(article, 'h1', data['title'], title=safe_dict(data, "url", "canonical") or '')
+        E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;')
+        try:
+            date = data['dateModified']
+        except Exception:
+            date = data['datePublished']
+        dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
+        dt = dt.strftime('%b %d, %Y, %I:%M %p')
+        if data['dateline'] is None:
+            E(article, 'p', dt, style='color: gray; font-size:small;')
+        else:
+            E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
+        main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
+        if main_image_url:
+            div = E(article, 'div')
+            try:
+                E(div, 'img', src=main_image_url)
+            except Exception:
+                pass
+        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):
+    main = root.xpath('//main')[0]
+    body = root.xpath('//body')[0]
+    for child in tuple(body):
+        body.remove(child)
+    body.append(main)
+    main.set('id', '')
+    main.tag = 'article'
+    for x in root.xpath('//*[@style]'):
+        x.set('style', '')
+    for x in root.xpath('//button'):
+        x.getparent().remove(x)
+
+
+def classes(classes):
+    q = frozenset(classes.split(' '))
+    return dict(attrs={
+        'class': lambda x: x and frozenset(x.split()).intersection(q)})
+
+
+def new_tag(soup, name, attrs=()):
+    impl = getattr(soup, 'new_tag', None)
+    if impl is not None:
+        return impl(name, attrs=dict(attrs))
+    return Tag(soup, name, attrs=attrs or None)
+
+
+class NoArticles(Exception):
+    pass
+
+
+def process_url(url):
+    if url.startswith('/'):
+        url = 'https://www.economist.com' + url
+    return url
+
+
+class Economist(BasicNewsRecipe):
+
     title = '1843'
-    __author__ = 'Kovid Goyal'
-    description = 'The ideas, culture and lifestyle magazine from The Economist'
-    language = 'en_GB'
-    no_stylesheets = True
-    remove_javascript = True
+    language = 'en'
     encoding = 'utf-8'
+    masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png'
+
+    __author__ = "Kovid Goyal"
+    description = (
+        'Published since September 1843 to take part in “a severe contest between intelligence, which presses forward, and '
+        'an unworthy, timid ignorance obstructing our progress.”'
+    )
+    extra_css = '''
+        em { color:#202020; }
+        img {display:block; margin:0 auto;}
+    '''
+    oldest_article = 7.0
+    resolve_internal_links = True
+    remove_tags = [
+        dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer']),
+        dict(attrs={'aria-label': "Article Teaser"}),
+        dict(attrs={
+                'class': [
+                    'dblClkTrk', 'ec-article-info', 'share_inline_header',
+                    'related-items', 'main-content-container', 'ec-topic-widget',
+                    'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label',
+                    'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel',
+                    'newsletter-form','share-links-header','teaser--wrapped', 'latest-updates-panel__container',
+                    'latest-updates-panel__article-link','blog-post__section'
+                ]
+            }
+        ),
+        dict(attrs={
+                'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}),
+        classes(
+            'share-links-header teaser--wrapped latest-updates-panel__container'
+            ' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel'
+        )
+    ]
+    keep_only_tags = [dict(name='article', id=lambda x: not x)]
+    no_stylesheets = True
+    remove_attributes = ['data-reactid', 'width', 'height']
     # economist.com has started throttling after about 60% of the total has
     # downloaded with connection reset by peer (104) errors.
     delay = 1
 
+    needs_subscription = False
 
-    keep_only_tags = [
-        dict(id='content')
-    ]
-    remove_tags = [
-        classes('advert ad ds-share-list article__wordmark related-articles newsletter-signup'),
-        dict(attrs={'data-test-id':'sharing-modal'}),
-    ]
+    def get_browser(self, *args, **kwargs):
+        # Needed to bypass cloudflare
+        kwargs['user_agent'] = 'common_words/based'
+        br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
+        br.addheaders += [('Accept-Language', 'en-GB,en-US;q=0.9,en;q=0.8')]
+        return br
 
-    def parse_index(self):
-        soup = self.index_to_soup('https://economist.com/1843')
-        ans = []
-        main = soup.find(id='content')
+    def economist_test_article(self):
+        return [('Articles', [{'title':'test',
+            'url':'https://www.economist.com/the-americas/2024/04/14/elon-musk-is-feuding-with-brazils-powerful-supreme-court'
+        }])]
 
-        for h3 in main.find_all('h3'):
-            a = h3.find('a')
-            url = a['href']
-            if url.startswith('/'):
-                url = 'https://economist.com' + url
-            title = self.tag_to_string(a)
-            self.log(title, ' at ', url)
-            desc = ''
-            d = a.parent.findNextSibling('p')
-            if d is not None:
-                desc = self.tag_to_string(d)
-            ans.append({'title': title, 'url': url, 'description': desc})
-        return [('Articles', ans)]
+    def economist_return_index(self, ans):
+        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 postprocess_html(self, soup, *a):
-        a = soup.find('a', string='More from 1843 magazine')
-        if a is not None:
-            more = a.parent.parent
-            more.extract()
+    if use_archive:
+        def parse_index(self):
+            # return self.economist_test_article()
+            soup = self.index_to_soup('https://www.economist.com/hidden-content/1843magazine-hub')
+            script_tag = soup.find("script", id="__NEXT_DATA__")
+            if script_tag is None:
+                raise ValueError('No script tag with JSON data found in the weeklyedition archive')
+            data = json.loads(script_tag.string)
+            content_id = data['props']['pageProps']['content'][0]['tegID'].split('/')[-1]
+            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
+                '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):
+            data = json.loads(raw)['data']['canonical']
+            self.description = data['description']
+
+            feeds_dict = defaultdict(list)
+            for part in safe_dict(data, "hasPart", "parts"):
+                section = part['title']
+                self.log(section)
+                for art in safe_dict(part, "hasPart", "parts"):
+                    title = safe_dict(art, "title")
+                    desc = safe_dict(art, "rubric") or ''
+                    sub = safe_dict(art, "flyTitle") or ''
+                    if sub and section != sub:
+                        desc = sub + ' :: ' + desc
+                    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 [(section, articles) for section, articles in feeds_dict.items()]
+
+        def populate_article_metadata(self, article, soup, first):
+            article.url = soup.find('h1')['title']
+
+        def preprocess_html(self, soup):
+            for img in soup.findAll('img', src=True):
+                img['src'] = img['src'].replace('economist.com/',
+                    'economist.com/cdn-cgi/image/width=600,quality=80,format=auto/')
+            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):
+        # 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)
+
+        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>'
+
+        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)
+        # the economist uses <small> for small caps with a custom font
+        for init in root.xpath('//span[@data-caps="initial"]'):
+            init.set('style', 'font-weight:bold;')
+        for x in root.xpath('//small'):
+            if x.text and len(x) == 0:
+                x.text = x.text.upper()
+                x.tag = 'span'
+                x.set('style', 'font-variant: small-caps')
+        for h2 in root.xpath('//h2'):
+            h2.tag = 'h4'
+        for x in root.xpath('//figcaption'):
+            x.set('style', 'text-align:center; font-size:small;')
+        for x in root.xpath('//cite'):
+            x.tag = 'blockquote'
+            x.set('style', 'color:#404040;')
+        raw = etree.tostring(root, encoding='unicode')
+        return raw
+
+    def eco_find_image_tables(self, soup):
+        for x in soup.findAll('table', align=['right', 'center']):
+            if len(x.findAll('font')) in (1, 2) and len(x.findAll('img')) == 1:
+                yield x
+
+    def postprocess_html(self, soup, first):
+        for img in soup.findAll('img', srcset=True):
+            del img['srcset']
+        for table in list(self.eco_find_image_tables(soup)):
+            caption = table.find('font')
+            img = table.find('img')
+            div = new_tag(soup, 'div')
+            div['style'] = 'text-align:left;font-size:70%'
+            ns = NavigableString(self.tag_to_string(caption))
+            div.insert(0, ns)
+            div.insert(1, new_tag(soup, 'br'))
+            del img['width']
+            del img['height']
+            img.extract()
+            div.insert(2, img)
+            table.replaceWith(div)
         return soup
+
+    def canonicalize_internal_url(self, url, is_link=True):
+        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])