#!/usr/bin/env python
# vim:fileencoding=utf-8
import json
import re
from datetime import date

from calibre.web.feeds.news import BasicNewsRecipe, classes


class LiveMint(BasicNewsRecipe):
    title = 'Live Mint'
    description = 'Financial News from India.'
    language = 'en_IN'
    __author__ = 'Krittika Goyal, revised by unkn0wn'
    oldest_article = 1.15  # days
    max_articles_per_feed = 50
    encoding = 'utf-8'
    use_embedded_content = False
    no_stylesheets = True
    remove_attributes = ['style', 'height', 'width']
    masthead_url = 'https://images.livemint.com/static/livemint-logo-v1.svg'

    recipe_specific_options = {
        'days': {
            'short': 'Oldest article to download from this news source. In days ',
            'long': 'For example, 0.5, gives you articles from the past 12 hours',
            'default': str(oldest_article),
        }
    }
    remove_empty_feeds = True
    resolve_internal_links = True

    def __init__(self, *args, **kwargs):
        BasicNewsRecipe.__init__(self, *args, **kwargs)
        d = self.recipe_specific_options.get('days')
        if d and isinstance(d, str):
            self.oldest_article = float(d)

    def get_cover_url(self):
        today = date.today().strftime('%d/%m/%Y')
        today = today.replace('/', '%2F')
        raw = self.index_to_soup(
            'https://epaper.livemint.com/Home/GetAllpages?editionid=1&editiondate=' + today,
            raw=True
        )
        for cov in json.loads(raw):
            if cov['NewsProPageTitle'].lower().startswith(('front', 'cover')):
                return cov['HighResolution']

    extra_css = """
        img {margin:0 auto;}
        .psTopLogoItem img, .ecologoStory { width:100; }
        #img-cap {font-size:small; text-align:center;}
        .summary, .highlights, .synopsis {
            font-weight:normal !important; font-style:italic; color:#202020;
        }
        em, blockquote {color:#202020;}
        .moreAbout, .articleInfo, .metaData, .psTopicsHeading, .topicsTag, .auth {font-size:small;}
    """

    keep_only_tags = [
        dict(
            name='article',
            attrs={'id': lambda x: x and x.startswith(('article_', 'box_'))},
        ),
        dict(attrs={'class': lambda x: x and x.startswith('storyPage_storyBox__')}),
        classes('contentSec'),
    ]

    remove_tags = [
        dict(name=['meta', 'link', 'svg', 'button', 'iframe']),
        dict(
            attrs={
                'class': lambda x: x
                and x.startswith(
                    (
                        'storyPage_alsoRead__',
                        'storyPage_firstPublishDate__',
                        'storyPage_bcrumb__',
                    )
                )
            }
        ),
        dict(attrs={'id': ['faqSection', 'seoText', 'ellipsisId', 'gift_redeemed_box ']}),
        classes(
            'trendingSimilarHeight moreNews mobAppDownload label msgError msgOk taboolaHeight gadgetSlider ninSec'
            ' socialHolder imgbig disclamerText disqus-comment-count openinApp2 lastAdSlot bs_logo author-widget'
            ' datePublish sepStory premiumSlider moreStory Joinus moreAbout milestone benefitText checkCibilBtn'
            ' double_gift_box trade'
        ),
    ]

    feeds = [
        ('Companies', 'https://www.livemint.com/rss/companies'),
        ('Opinion', 'https://www.livemint.com/rss/opinion'),
        ('Money', 'https://www.livemint.com/rss/money'),
        ('Economy', 'https://www.livemint.com/rss/economy'),
        ('Politics', 'https://www.livemint.com/rss/politics'),
        ('Science', 'https://www.livemint.com/rss/science'),
        ('Industry', 'https://www.livemint.com/rss/industry'),
        ('Education', 'https://www.livemint.com/rss/education'),
        ('Sports', 'https://www.livemint.com/rss/sports'),
        ('Technology', 'https://www.livemint.com/rss/technology'),
        ('News', 'https://www.livemint.com/rss/news'),
        ('Mutual Funds', 'https://www.livemint.com/rss/Mutual Funds'),
        ('Markets', 'https://www.livemint.com/rss/markets'),
        ('AI', 'https://www.livemint.com/rss/AI'),
        ('Insurance', 'https://www.livemint.com/rss/insurance'),
        ('Budget', 'https://www.livemint.com/rss/budget'),
        ('Elections', 'https://www.livemint.com/rss/elections'),
    ]

    def preprocess_raw_html(self, raw, *a):
        # remove empty p tags
        raw = re.sub(
            r'(<p>\s*)(<[^(\/|a|i|b|em|strong)])', r'\g<2>', re.sub(
                r'(<p>\s*&nbsp;\s*<\/p>)|(<p>\s*<\/p>)|(<p\s*\S+>&nbsp;\s*<\/p>)', '', raw
            ),
        )
        if '<script>var wsjFlag=true;</script>' in raw:
            m = re.search(
                r'type="application/ld\+json">[^<]+?"@type": "NewsArticle"', raw
            )
            raw1 = raw[m.start() :]
            raw1 = raw1.split('>', 1)[1].strip()
            data = json.JSONDecoder().raw_decode(raw1)[0]
            value = data['hasPart']['value']
            body = (
                data['articleBody']
                + '</p> <p>'
                + re.sub(r'(([a-z]|[^A-Z])\.|\.”)([A-Z]|“[A-Z])', r'\1 <p> \3', value)
            )
            body = '<div class="FirstEle"> <p>' + body + '</p> </div>'
            raw2 = re.sub(r'<div class="FirstEle">([^}]*)</div>', body, raw)
            return raw2
        return raw

    def preprocess_html(self, soup):
        auth = soup.find(
            attrs={
                'class': lambda x: x
                and x.startswith(('storyPage_authorInfo__', 'storyPage_authorSocial__'))
            }
        )
        if auth:
            auth['class'] = 'auth'
        summ = soup.find(
            attrs={'class': lambda x: x and x.startswith('storyPage_summary__')}
        )
        if summ:
            summ['class'] = 'summary'
        for strong in soup.findAll('strong'):
            if strong.find('p'):
                strong.name = 'div'
        for embed in soup.findAll('div', attrs={'class': 'embed'}):
            nos = embed.find('noscript')
            if nos:
                nos.name = 'span'
        for span in soup.findAll('figcaption'):
            span['id'] = 'img-cap'
        for auth in soup.findAll(
            'span', attrs={'class': lambda x: x and 'articleInfo' in x.split()}
        ):
            auth.name = 'div'
        for img in soup.findAll('img', attrs={'data-src': True}):
            img['src'] = img['data-src']
        for span in soup.findAll('span', attrs={'class': 'exclusive'}):
            span.extract()
        for al in soup.findAll('a', attrs={'class': 'manualbacklink'}):
            pa = al.findParent(['p', 'h2', 'h3', 'h4'])
            if pa:
                pa.extract()
        wa = soup.find(**classes('autobacklink-topic'))
        if wa:
            p = wa.findParent('p')
            if p:
                p.extract()
        return soup

    def populate_article_metadata(self, article, soup, first):
        article.title = article.title.replace('<span class="webrupee">₹</span>', '₹')