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74 lines
2.6 KiB
74 lines
2.6 KiB
# -*- coding: utf-8 -*-
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License version 2 as
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# published by the Free Software Foundation.
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"""Extractors for https://tcbscans.me/"""
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from .common import ChapterExtractor, MangaExtractor
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from .. import text
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BASE_PATTERN = (r"(?:https?://)?(?:tcb(?:-backup\.bihar-mirchi|scans)"
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r"|onepiecechapters)\.(?:com|me)")
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class TcbscansChapterExtractor(ChapterExtractor):
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category = "tcbscans"
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pattern = BASE_PATTERN + r"(/chapters/\d+/[^/?#]+)"
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example = "https://tcbscans.me/chapters/12345/MANGA-chapter-123"
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def __init__(self, match):
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self.root = text.root_from_url(match.group(0))
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ChapterExtractor.__init__(self, match)
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def images(self, page):
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return [
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(url, None)
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for url in text.extract_iter(
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page, '<img class="fixed-ratio-content" src="', '"')
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]
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def metadata(self, page):
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manga, _, chapter = text.extr(
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page, 'font-bold mt-8">', "</h1>").rpartition(" - Chapter ")
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chapter, sep, minor = chapter.partition(".")
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return {
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"manga": text.unescape(manga).strip(),
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"chapter": text.parse_int(chapter),
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"chapter_minor": sep + minor,
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"lang": "en", "language": "English",
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}
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class TcbscansMangaExtractor(MangaExtractor):
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category = "tcbscans"
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chapterclass = TcbscansChapterExtractor
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pattern = BASE_PATTERN + r"(/mangas/\d+/[^/?#]+)"
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example = "https://tcbscans.me/mangas/123/MANGA"
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def __init__(self, match):
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self.root = text.root_from_url(match.group(0))
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MangaExtractor.__init__(self, match)
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def chapters(self, page):
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data = {
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"manga": text.unescape(text.extr(
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page, 'class="my-3 font-bold text-3xl">', "</h1>")),
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"lang": "en", "language": "English",
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}
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results = []
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page = text.extr(page, 'class="col-span-2"', 'class="order-1')
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for chapter in text.extract_iter(page, "<a", "</a>"):
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url = text.extr(chapter, 'href="', '"')
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data["title"] = text.unescape(text.extr(
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chapter, 'text-gray-500">', "</div>"))
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chapter = text.extr(
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chapter, 'font-bold">', "</div>").rpartition(" Chapter ")[2]
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chapter, sep, minor = chapter.partition(".")
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data["chapter"] = text.parse_int(chapter)
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data["chapter_minor"] = sep + minor
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results.append((self.root + url, data.copy()))
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return results
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