vistrans.py

# -*- coding: utf-8 -*-
import logging

from lncrawl.core.crawler import Crawler

logger = logging.getLogger(__name__)


class VisTranslations(Crawler):
    base_url = "https://vistranslations.wordpress.com/"

    def read_novel_info(self):
        logger.debug("Visiting %s", self.novel_url)
        soup = self.get_soup(self.novel_url)

        self.novel_title = soup.find("h1", {"class": "entry-title"}).text.strip()
        logger.info("Novel title: %s", self.novel_title)

        # TODO: Could not get cover kept coming back with error "(cannot identify image file <_io.BytesIO object at 0x00000179D0D8FEA0>)"
        # self.novel_cover = soup.select_one(
        #     'meta[property="og:image"]')['content']
        # logger.info('Novel cover: %s', self.novel_cover)

        self.novel_author = soup.select_one(
            "div.wp-block-media-text__content > p:nth-child(4)"
        ).text
        logger.info("%s", self.novel_author)

        # Removes none TOC links from bottom of page.
        toc_parts = soup.select_one(".site-content")
        for notoc in toc_parts.select(".sharedaddy, iframe"):
            notoc.extract()

        # Extract volume-wise chapter entries
        # TODO: Some chapters have two href links for each chapters so you get duplicate chapters.
        chapters = soup.select('table td a[href*="vistranslations.wordpress.com"]')

        for a in chapters:
            chap_id = len(self.chapters) + 1
            vol_id = 1 + len(self.chapters) // 100
            if len(self.volumes) < vol_id:
                self.volumes.append({"id": vol_id})
            self.chapters.append(
                {
                    "id": chap_id,
                    "volume": vol_id,
                    "url": self.absolute_url(a["href"]),
                    "title": a.text.strip() or ("Chapter %d" % chap_id),
                }
            )

    def download_chapter_body(self, chapter):
        soup = self.get_soup(chapter["url"])

        body = []
        contents = soup.select("div.entry-content p")
        for p in contents:
            para = " ".join(self.cleaner.extract_contents(p))
            if len(para):
                body.append(para)

        return "<p>%s</p>" % "</p><p>".join(body)