path: root/dotfiles/system/.config/calibre/custom_recipes/The New York Times_1000.recipe

#!/usr/bin/env python
# vim:fileencoding=utf-8
# License: GPLv3 Copyright: 2018, Kovid Goyal <kovid at kovidgoyal.net>

from __future__ import absolute_import, division, print_function, unicode_literals

import datetime
import json
import re

import mechanize

from calibre import strftime
from calibre.ebooks.BeautifulSoup import Tag
from calibre.utils.date import strptime
from calibre.web.feeds.news import BasicNewsRecipe
from polyglot.urllib import urlencode

is_web_edition = False
use_wayback_machine = False

# This is an Apollo persisted query hash which you can get
# from looking at the XHR requests made by: https://www.nytimes.com/section/todayspaper
# or by https://www.nytimes.com/section/world
persistedQuery = '1f99120a11e94dd62a9474f68ee1255537ee3cf7eac20a0377819edb2fa1fef7'

# The sections to download when downloading the web edition, comment out
# the section you are not interested in
web_sections = [
    ('World', 'world'),
    ('U.S.', 'us'),
    ('Politics', 'politics'),
    # ('New York', 'nyregion'),
    ('Business', 'business'),
    ('Technology', 'technology'),
    # ('Sports', 'sports'),
    ('Science', 'science'),
    ('Health', 'health'),
    ('Opinion', 'opinion'),
    # ('Arts', 'arts'),
    # ('Books', 'books'),
    # ('Movies', 'movies'),
    # ('Music', 'arts/music'),
    # ('Television', 'arts/television'),
    # ('Style', 'style'),
    # ('Dining & Wine', 'food'),
    # ('Fashion & Style', 'fashion'),
    # ('Home & Garden', 'garden'),
    ('Travel', 'travel'),
    # ('Education', 'education'),
    #  ('Multimedia', 'multimedia'),
    # ('Obituaries', 'obituaries'),
    # ('Sunday Magazine', 'magazine')
]
# web_sections = [ ('Business', 'business'), ]
url_date_pat = re.compile(r'/(2\d\d\d)/(\d\d)/(\d\d)/')


def date_from_url(url):
    m = url_date_pat.search(url)
    if m is not None:
        return datetime.date(*map(int, m.groups()))


def format_date(d):
    try:
        return strftime(' [%a, %d %b %Y]', d)
    except Exception:
        return strftime(' [%Y/%m/%d]', d)


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 NewYorkTimes(BasicNewsRecipe):
    if is_web_edition:
        title = 'The New York Times (Web)'
        description = (
            'New York Times (Web). You can edit the recipe to remove sections you are not interested in. '
            'Use advanced menu to make changes to fetch Todays Paper'
        )
    else:
        title = 'The New York Times'
        description = (
            'New York Times. Todays Paper '
            'Use advanced menu to make changes to fetch Web Edition'
        )
    encoding = 'utf-8'
    __author__ = 'Kovid Goyal'
    language = 'en_US'
    ignore_duplicate_articles = {'title', 'url'}
    no_stylesheets = True
    oldest_web_edition_article = 7  # days

    extra_css = '''
        .byl, .time { font-size:small; color:#202020; }
        .cap { font-size:small; text-align:center; }
        .cred { font-style:italic; font-size:small; }
        em, blockquote { color: #202020; }
        .sc { font-variant: small-caps; }
        .lbl { font-size:small; color:#404040; }
        img { display:block; margin:0 auto; }
    '''

    @property
    def nyt_parser(self):
        ans = getattr(self, '_nyt_parser', None)
        if ans is None:
            from calibre.live import load_module
            self._nyt_parser = ans = load_module('calibre.web.site_parsers.nytimes')
        return ans

    def get_nyt_page(self, url, skip_wayback=False):
        if use_wayback_machine and not skip_wayback:
            from calibre import browser
            return self.nyt_parser.download_url(url, browser())
        return self.index_to_soup(url, raw=True)

    def preprocess_raw_html(self, raw_html, url):
        cleaned = self.nyt_parser.clean_js_json(raw_html)
        return self.nyt_parser.extract_html(self.index_to_soup(cleaned), url)

    articles_are_obfuscated = use_wayback_machine

    if use_wayback_machine:
        def get_obfuscated_article(self, url):
            from calibre.ptempfile import PersistentTemporaryFile
            with PersistentTemporaryFile() as tf:
                tf.write(self.get_nyt_page(url))
            return tf.name

    recipe_specific_options = {
        'web': {
            'short': 'Type in yes, if you want ' + ('Todays Paper' if is_web_edition else 'Web Edition'),
            'default': 'Web Edition' if is_web_edition else 'Todays Paper',
        },
        'days': {
            'short': 'Oldest article to download from this news source. In days ',
            'long': 'For example, 1, gives you articles from the past 24 hours\n(Works only for Web_Edition)',
            'default': str(oldest_web_edition_article)
        },
        'date': {
            'short': 'The date of the edition to download (YYYY/MM/DD format)\nUsed to fetch past editions of NYT newspaper',
            'long': 'For example, 2024/07/16'
        },
        'res': {
            'short': (
                'For hi-res images, select a resolution from the following\noptions: '
                'popup, jumbo, mobileMasterAt3x, superJumbo'
            ),
            'long': (
                'This is useful for non e-ink devices, and for a lower file size\nthan '
                'the default, use mediumThreeByTwo440, mediumThreeByTwo225, articleInline.'
            ),
        },
        'comp': {
            'short': 'Compress News Images?',
            'long': 'enter yes',
            'default': 'no'
        }
    }

    def __init__(self, *args, **kwargs):
        BasicNewsRecipe.__init__(self, *args, **kwargs)
        c = self.recipe_specific_options.get('comp')
        d = self.recipe_specific_options.get('days')
        w = self.recipe_specific_options.get('web')
        self.is_web_edition = is_web_edition
        if w and isinstance(w, str):
            if w == 'yes':
                self.is_web_edition = not is_web_edition
        if d and isinstance(d, str):
            self.oldest_web_edition_article = float(d)
        if c and isinstance(c, str):
            if c.lower() == 'yes':
                self.compress_news_images = True

    def read_todays_paper(self):
        pdate = self.recipe_specific_options.get('date')
        templ = 'https://www.nytimes.com/issue/todayspaper/{}/todays-new-york-times'
        if pdate and isinstance(pdate, str):
            return pdate, self.index_to_soup(templ.format(pdate))
        # Cant figure out how to get the date so just try todays and yesterdays dates
        date = datetime.date.today()
        pdate = date.strftime('%Y/%m/%d')
        try:
            soup = self.index_to_soup(templ.format(pdate))
        except Exception as e:
            if getattr(e, 'code', None) == 404:
                date -= datetime.timedelta(days=1)
                pdate = date.strftime('%Y/%m/%d')
                soup = self.index_to_soup(templ.format(pdate))
            else:
                raise
        self.log("Using today's paper from:", pdate)
        return pdate, soup

    def read_nyt_metadata(self):
        pdate, soup = self.read_todays_paper()
        date = strptime(pdate, '%Y/%m/%d', assume_utc=False, as_utc=False)
        self.cover_url = 'https://static01.nyt.com/images/{}/nytfrontpage/scan.jpg'.format(pdate)
        self.timefmt = strftime(' [%d %b, %Y]', date)
        self.nytimes_publication_date = pdate
        script = soup.findAll('script', text=lambda x: x and 'window.__preloadedData' in x)[0]
        script = type(u'')(script)
        raw_json = script[script.find('{'):script.rfind(';')].strip().rstrip(';')  # }}
        clean_json = self.nyt_parser.clean_js_json(raw_json)
        self.nytimes_graphql_config = json.loads(clean_json)['config']
        return soup

    def nyt_graphql_query(self, qid, operationName='CollectionsQuery'):
        query = {
            'operationName': operationName,
            'variables': json.dumps({
                'id': qid,
                'first': 10,
                'exclusionMode': 'HIGHLIGHTS_AND_EMBEDDED',
                'isFetchMore':False,
                'isTranslatable':False,
                'isEspanol':False,
                'highlightsListUri':'nyt://per/personalized-list/__null__',
                'highlightsListFirst':0,
                'hasHighlightsList':False
            }, separators=',:'),
            'extensions': json.dumps({
                'persistedQuery': {
                    'version':1,
                    'sha256Hash': persistedQuery,
                },
            }, separators=',:')
        }
        url = self.nytimes_graphql_config['gqlUrlClient'] + '?' + urlencode(query)
        br = self.browser
        # br.set_debug_http(True)
        headers = dict(self.nytimes_graphql_config['gqlRequestHeaders'])
        headers['Accept'] = 'application/json'
        req = mechanize.Request(url, headers=headers)
        raw = br.open(req).read()
        # open('/t/raw.json', 'wb').write(raw)
        return json.loads(raw)

    def parse_todays_page(self):
        self.read_nyt_metadata()
        query_id = '/issue/todayspaper/{}/todays-new-york-times'.format(self.nytimes_publication_date)
        data = self.nyt_graphql_query(query_id)
        return parse_todays_page(data, self.log)

    def parse_web_sections(self):
        self.read_nyt_metadata()
        feeds = []
        for section_title, slug in web_sections:
            query_id = '/section/' + slug
            try:
                data = self.nyt_graphql_query(query_id)
                self.log('Section:', section_title)
                articles = parse_web_section(data, log=self.log, title=section_title)
            except Exception as e:
                self.log('Failed to parse section:', section_title, 'with error:', e)
                articles = []
            if articles:
                feeds.append((section_title, articles))
            else:
                # open('/t/raw.json', 'w').write(json.dumps(data, indent=2))
                self.log('  No articles found in section:', section_title)
            if self.test and len(feeds) >= self.test[0]:
                break
        return feeds

    def parse_index(self):
        # return [('All articles', [
        #     {'title': 'XXXXX', 'url': 'https://www.nytimes.com/2020/11/27/world/americas/coronavirus-migrants-venezuela.html'},
        # ])]
        if self.is_web_edition:
            return self.parse_web_sections()
        return self.parse_todays_page()

    def get_browser(self, *args, **kwargs):
        kwargs['user_agent'] = 'User-Agent: Mozilla/5.0 (compatible; archive.org_bot; Wayback Machine Live Record; +http://archive.org/details/archive.org_bot)'
        br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
        return br

    def preprocess_html(self, soup):
        w = self.recipe_specific_options.get('res')
        if w and isinstance(w, str):
            res = '-' + w
            for img in soup.findAll('img', attrs={'src':True}):
                if '-article' in img['src']:
                    ext = img['src'].split('?')[0].split('.')[-1]
                    img['src'] = img['src'].rsplit('-article', 1)[0] + res + '.' + ext
        for c in soup.findAll('div', attrs={'class':'cap'}):
            for p in c.findAll(['p', 'div']):
                p.name = 'span'
        return soup

    def get_article_url(self, article):
        url = BasicNewsRecipe.get_article_url(self, article)
        if not re.search(r'/video/|/athletic/|/card/', url):
            return url
        self.log('\tSkipping ', url)


def asset_to_article(asset):
    title = asset['headline']['default']
    return {'title': title, 'url': asset['url'], 'description': asset['summary']}


def parse_todays_page(data, log=print):
    containers = data['data']['legacyCollection']['groupings'][0]['containers']
    feeds = []
    for cont in containers:
        if cont['__typename'] != 'LegacyCollectionContainer':
            continue
        section_name = cont['label'].strip()
        if not section_name:
            continue
        log(section_name)
        articles = []
        for rel in cont['relations']:
            if rel.get('__typename') == 'LegacyCollectionRelation':
                asset = rel['asset']
                if asset['__typename'] == 'Article':
                    articles.append(asset_to_article(asset))
                    log(' ', articles[-1]['title'] + ':', articles[-1]['url'])
        if articles:
            feeds.append((section_name, articles))
    return feeds


def parse_web_section(data, log=print, title=''):
    articles = []
    try:
        containers = data['data']['legacyCollection']['collectionsPage']
        if containers.get('embeddedCollections'):
            containers = containers['embeddedCollections']
        else:
            containers = [containers]
    except Exception as e:
        log('Failed to parse web section', title, 'with error:', e)
        return articles
    for cont in containers:
        for s in cont['stream']['edges']:
            asset = s['node']
            if asset['__typename'] == 'Article':
                articles.append(asset_to_article(asset))
                log(' ', articles[-1]['title'] + ':', articles[-1]['url'])
    return articles


if __name__ == '__main__':
    import sys
    data = json.loads(open(sys.argv[-1], 'rb').read())
    if is_web_edition:
        parse_web_section(data)
    else:
        parse_todays_page(data)


calibre_most_common_ua = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'