mirror of
https://github.com/kovidgoyal/calibre.git
synced 2026-01-06 12:10:18 -05:00
323 lines
16 KiB
Python
323 lines
16 KiB
Python
#!/usr/bin/env python
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import json
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import time
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from datetime import datetime, timedelta
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from urllib.parse import quote, urlencode
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from uuid import uuid4
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from html5_parser import parse
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from lxml import etree
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from mechanize import Request
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from calibre import browser
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from calibre.ptempfile import PersistentTemporaryFile
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from calibre.web.feeds.news import BasicNewsRecipe
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def safe_dict(data, *names):
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ans = data
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for x in names:
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ans = ans.get(x) or {}
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return ans
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def process_web_list(li_node):
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li_html = ''
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for li in li_node['items']:
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if li.get('textHtml'):
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li_html += f'<li>{li["textHtml"]}</li>'
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elif li.get('textJson'):
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li_html += f'<li>{parse_textjson(li["textJson"])}</li>'
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else:
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li_html += f'<li>{li.get("text", "")}</li>'
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return '<ul>' + li_html + '</ul>'
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def process_info_box(bx):
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info = ''
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for x in safe_dict(bx, 'components'):
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info += f'<blockquote>{process_web_node(x)}</blockquote>'
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return info
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def parse_txt(ty):
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typ = ty.get('type', '')
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children = ty.get('children', [])
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href = '#'
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attributes = ty.get('attributes') or ()
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for a in attributes:
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if a.get('name') == 'href':
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href = a.get('value', href)
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break
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tag_map = {
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'text': lambda: [ty.get('value', '')],
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'scaps': lambda: [
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f'<span style="text-transform: uppercase; font-size: 0.85em; letter-spacing: 0.05em;">{"".join(parse_txt(c))}</span>'
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for c in children
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],
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'bold': lambda: [f'<b>{"".join(parse_txt(c))}</b>' for c in children],
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'drop_caps': lambda: [f'<b>{"".join(parse_txt(c))}</b>' for c in children],
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'italic': lambda: [f'<i>{"".join(parse_txt(c))}</i>' for c in children],
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'linebreak': lambda: ['<br>'],
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'external_link': lambda: [
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f'<a href="{href}">{"".join(parse_txt(c))}</a>' for c in children
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],
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'internal_link': lambda: [
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f'<a href="{href}">{"".join(parse_txt(c))}</a>' for c in children
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],
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'ufinish': lambda: [text for c in children for text in parse_txt(c)],
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'subscript': lambda: [f'<sub>{"".join(parse_txt(c))}</sub>' for c in children],
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'superscript': lambda: [f'<sup>{"".join(parse_txt(c))}</sup>' for c in children],
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}
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if typ in tag_map:
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yield from tag_map[typ]()
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else:
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print('** ', typ)
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def parse_textjson(nt):
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return ''.join(''.join(parse_txt(n)) for n in nt)
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def process_web_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 in ['PARAGRAPH', 'BOOK_INFO']:
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if node.get('textHtml'):
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return f'\n<p>{node.get("textHtml")}</p>'
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if node.get('textJson'):
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return f'\n<p>{parse_textjson(node["textJson"])}</p>'
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return f'\n<p>{node.get("text", "")}</p>'
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elif (ntype == 'IMAGE') or (node.get('__typename', '') == 'ImageComponent'):
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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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elif node['caption'].get('textJson') is not None:
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cap = parse_textjson(node['caption']['textJson'])
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elif node['caption'].get('text') is not None:
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cap = node['caption']['text']
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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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if node.get('textJson'):
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return f'<blockquote>{parse_textjson(node["textJson"])}</blockquote>'
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return f'<blockquote>{node.get("text", "")}</blockquote>'
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elif ntype == 'BLOCK_QUOTE':
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if node.get('textHtml'):
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return f'<blockquote><i>{node.get("textHtml")}</i></blockquote>'
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if node.get('textJson'):
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return f'<blockquote><i>{parse_textjson(node["textJson"])}</i></blockquote>'
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return f'<blockquote><i>{node.get("text", "")}</i></blockquote>'
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elif ntype == 'DIVIDER':
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return '<hr>'
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elif ntype == 'INFOGRAPHIC':
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if node.get('fallback'):
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return process_web_node(node['fallback'])
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elif ntype == 'INFOBOX':
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return process_info_box(node)
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elif ntype == 'UNORDERED_LIST':
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if node.get('items'):
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return process_web_list(node)
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elif ntype:
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print('** ', ntype)
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return ''
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def load_article_from_web_json(raw):
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# open('/t/raw.json', 'w').write(raw)
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body = ''
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data = json.loads(raw)['data']['findArticleByUrl']
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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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if data.get('rubric') and data.get('rubric') is not None:
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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_web_node(data['leadComponent'])
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if data.get('byline'):
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if data['byline'] is not None:
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body += f'<p style="color: gray; font-size: small;"><i>{"By " + data["byline"]}</i></p>'
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for node in data.get('body'):
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body += process_web_node(node)
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return '<html><body><article>' + body + '</article></body></html>'
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class NoArticles(Exception):
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pass
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def get_content(url_):
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headers = {
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'User-Agent': 'TheEconomist-Liskov-android',
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'accept': 'multipart/mixed; deferSpec=20220824, application/json',
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'accept-encoding': 'gzip',
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'content-type': 'application/json',
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'x-app-trace-id': str(uuid4()),
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'x-economist-consumer': 'TheEconomist-Liskov-android',
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'x-teg-client-name': 'Economist-Android',
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'x-teg-client-os': 'Android',
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'x-teg-client-version': '4.40.0',
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}
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br = browser()
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req = Request(
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url_,
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headers=headers,
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)
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res = br.open(req)
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return res.read()
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def process_url(url):
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if url.startswith('/'):
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url = 'https://www.economist.com' + url
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return url
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class econ_search(BasicNewsRecipe):
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title = 'The Economist - Search'
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language = 'en_GB'
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encoding = 'utf-8'
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__author__ = 'unkn0wn'
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description = (
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'Use the Advanced section of the recipe to search.'
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)
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ignore_duplicate_articles = {'url'}
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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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# 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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browser_type = 'webengine'
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recipe_specific_options = {
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'q': {
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'short': 'Text Search',
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'default': 'schools brief'
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},
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's': {
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'short': 'Sort by (date/relevance)',
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'long': 'you can sort by date or relevance',
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'default': 'relevance'
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},
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'p': {
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'short': 'number of pages',
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'long': 'number of pages of search results you want',
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'default': '2'
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},
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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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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 Liskov'
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)
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br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
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return br
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def parse_index(self):
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url = 'https://www.economist.com/search?q={query}&sort={sort}&page={page}'
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search = self.recipe_specific_options.get('q')
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sort_type = self.recipe_specific_options.get('s')
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page = self.recipe_specific_options.get('p')
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self.title = 'The Economist - ' + search
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ans = []
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for num in range(1, int(page) + 1):
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ans.extend(self.economist_parse_index(url.format(query=search.replace(' ', '+'), sort=sort_type, page=num)))
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return [('Articles', ans)]
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def economist_parse_index(self, url):
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self.log('Page ', url.rsplit('=', 1)[-1])
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soup = self.index_to_soup(url)
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results = soup.find('ol', id='search-results')
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if not results:
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self.log('\tPage ', url.rsplit('=', 1)[-1], ' not found')
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return
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for a in results.findAll('a', attrs={'class': '_search-result'}):
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url = a['href']
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title = self.tag_to_string(a.find(attrs={'class': '_headline'}))
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desc = self.tag_to_string(a.find(attrs={'class': '_snippet'}))
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self.log('\t', title, '\n\t', desc, '\n\t\t', url)
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yield {'title': title, 'url': url, 'description': desc}
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def preprocess_html(self, soup):
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width = '600'
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w = self.recipe_specific_options.get('res')
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if w and isinstance(w, str):
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width = w
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for img in soup.findAll('img', src=True):
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qua = (
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'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
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)
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img['src'] = img['src'].replace('economist.com/', qua)
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return soup
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def preprocess_raw_html(self, raw, url):
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# open('/t/raw.html', 'wb').write(raw.encode('utf-8'))
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html = load_article_from_web_json(raw)
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root = parse(html)
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# the economist uses <small> for small caps with a custom font
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for init in root.xpath('//span[@data-caps="initial"]'):
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init.set('style', 'font-weight:bold;')
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for x in root.xpath('//small'):
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if x.text and len(x) == 0:
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x.text = x.text.upper()
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x.tag = 'span'
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x.set(
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'style',
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'text-transform: uppercase; font-size: 0.85em; letter-spacing: 0.05em;',
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)
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for h2 in root.xpath('//h2'):
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h2.tag = 'h4'
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for x in root.xpath('//figcaption'):
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x.set('style', 'text-align:center; font-size:small;')
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for x in root.xpath('//cite'):
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x.tag = 'blockquote'
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x.set('style', 'color:#404040;')
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raw = etree.tostring(root, encoding='unicode')
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return raw
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def get_article(self, url):
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query = {
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'operationName': 'ArticleDeeplinkQuery',
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'variables': '{{"ref":"{}"}}'.format(url),
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'query': 'query ArticleDeeplinkQuery($ref: String!, $includeRelatedArticles: Boolean = true ) { findArticleByUrl(url: $ref) { __typename ...ArticleDataFragment } } fragment ContentIdentityFragment on ContentIdentity { articleType forceAppWebView leadMediaType } fragment NarrationFragment on Narration { album bitrate duration filename id provider url isAiGenerated fileHash } fragment ImageTeaserFragment on ImageComponent { altText height imageType source url width } fragment PodcastAudioFragment on PodcastEpisode { id audio { url durationInSeconds } } fragment ArticleTeaserFragment on Article { id tegId url rubric headline flyTitle brand byline dateFirstPublished dateline dateModified datePublished dateRevised estimatedReadTime wordCount printHeadline contentIdentity { __typename ...ContentIdentityFragment } section { tegId name } teaserImage { __typename type ...ImageTeaserFragment } leadComponent { __typename type ...ImageTeaserFragment } narration(selectionMethod: PREFER_ACTOR_NARRATION) { __typename ...NarrationFragment } podcast { __typename ...PodcastAudioFragment } } fragment AnnotatedTextFragment on AnnotatedText { text textJson annotations { type length index attributes { name value } } } fragment ImageComponentFragment on ImageComponent { altText caption { __typename ...AnnotatedTextFragment } credit height imageType mode source url width } fragment BlockQuoteComponentFragment on BlockQuoteComponent { text textJson annotations { type length index attributes { name value } } } fragment BookInfoComponentFragment on BookInfoComponent { text textJson annotations { type length index attributes { name value } } } fragment ParagraphComponentFragment on ParagraphComponent { text textJson annotations { type length index attributes { name value } } } fragment PullQuoteComponentFragment on PullQuoteComponent { text textJson annotations { type length index attributes { name value } } } fragment CrossheadComponentFragment on CrossheadComponent { text } fragment OrderedListComponentFragment on OrderedListComponent { items { __typename ...AnnotatedTextFragment } } fragment UnorderedListComponentFragment on UnorderedListComponent { items { __typename ...AnnotatedTextFragment } } fragment VideoComponentFragment on VideoComponent { url title thumbnailImage } fragment InfoboxComponentFragment on InfoboxComponent { components { __typename type ...BlockQuoteComponentFragment ...BookInfoComponentFragment ...ParagraphComponentFragment ...PullQuoteComponentFragment ...CrossheadComponentFragment ...OrderedListComponentFragment ...UnorderedListComponentFragment ...VideoComponentFragment } } fragment InfographicComponentFragment on InfographicComponent { url title width fallback { __typename ...ImageComponentFragment } altText height width } fragment ArticleDataFragment on Article { id url brand byline rubric headline layout { headerStyle } contentIdentity { __typename ...ContentIdentityFragment } dateline dateFirstPublished dateModified datePublished dateRevised estimatedReadTime narration(selectionMethod: PREFER_ACTOR_NARRATION) { __typename ...NarrationFragment } printFlyTitle printHeadline printRubric flyTitle wordCount section { tegId name articles(pagingInfo: { pagingType: OFFSET pageSize: 6 pageNumber: 1 } ) @include(if: $includeRelatedArticles) { edges { node { __typename ...ArticleTeaserFragment } } } } teaserImage { __typename type ...ImageComponentFragment } tegId leadComponent { __typename type ...ImageComponentFragment } body { __typename type ...BlockQuoteComponentFragment ...BookInfoComponentFragment ...ParagraphComponentFragment ...PullQuoteComponentFragment ...CrossheadComponentFragment ...OrderedListComponentFragment ...UnorderedListComponentFragment ...InfoboxComponentFragment ...ImageComponentFragment ...VideoComponentFragment ...InfographicComponentFragment } footer { __typename type ...ParagraphComponentFragment } tags { name } ads { adData } podcast { __typename ...PodcastAudioFragment } }', # noqa: E501
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}
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deep_url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(
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query, safe='()!', quote_via=quote
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)
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raw = get_content(deep_url)
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return raw
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def print_version(self, url):
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art_cont = self.get_article(url)
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pt = PersistentTemporaryFile('.html')
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pt.write(art_cont)
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pt.close()
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return 'file:///' + pt.name
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