[hiabcwelcome]

I'm creating Bloomberg Quint Recipe, because I couldn't find one.


I'm facing two issues:
1. The site have 6 section in its website at https://www.bloombergquint.com/ markets, business, politics, global-economics, technology, pursuits. Each section have 3 stories. But when I run my recipe using

ebook-convert Bloomberg_Quint.recipe .epub --test -vv --debug-pipeline debug

I'm only seeing 4 stories in output mobi file, that too only from first 2 sections. Not sure if I'm missing something in my recipe.

2. Some of the articles in that website has charts and tables. These are embedded as html inside html. I'm not seeing these charts and tables in output file. Is there way I can process this. Ex. an article at https://www.bloombergquint.com/mutua...igh-in-october

Code:

from __future__ import with_statement
__license__ = 'GPL 3'
__copyright__ = '2018, yetanothernerdk'

from calibre.web.feeds.news import BasicNewsRecipe


class BloombergQuint(BasicNewsRecipe):
    title = u'Bloomberg Quint'
    language = 'en_IN'
    encoding = 'utf8'
    oldest_article = 1
    __author__ = 'yetanothernerdk'
    max_articles_per_feed = 30
    no_stylesheets = True
    remove_attributes = ['style']

    ignore_duplicate_articles = {'title', 'url'}
    keep_only_tags = [
        dict(id=lambda x: x and x.startswith('card-')),
    ]

    remove_tags = [dict(name='div', attrs={'class': 'story-element story-element-text story-element-text-also-read'})]

    def preprocess_html(self, soup):
        for img in soup.findAll('img', attrs={'data-src-template': True}):
            img['src'] = img['data-src-template'].replace('BINARY/thumbnail', 'alternates/FREE_660')
        return soup

    def articles_from_soup(self, soup):
        articles = []
        for article in soup.findAll(['h3']):
            article = article.find(['a'])
            title = self.tag_to_string(article)
            url = article.get('href', False)
            if not url or not title:
                continue
            self.log('News:', article)
            articles.append({
                'title': title,
                'url': 'https://www.bloombergquint.com'+url,
                'description': '',
                'date': ''})
        return articles

    def parse_index(self):
        soup = self.index_to_soup('https://www.bloombergquint.com/')
        section_id = "stack__with__articles stack__with__articles--qsection-"
        sections = ['markets', 'business', 'politics', 'global-economics', 'technology', 'pursuits']
        feeds = []
        for section in sections:
            self.log('Section:', section.capitalize())
            class_id = section_id + section
            nav_div = soup.find("div", {"class": class_id})
            articles = self.articles_from_soup(nav_div)
            if articles:
                feeds.append((section.capitalize(), articles))
        for section in feeds:
            self.log('Section:', section)
        return feeds

For help I'm following guide from here & API Documentation from here


Thank You.