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73 lines
2.4 KiB
73 lines
2.4 KiB
# -*- coding: utf-8 -*-
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# Copyright 2016-2017 Mike Fährmann
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#
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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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"""Extract hentai-manga from https://hentai2read.com/"""
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from .common import MangaExtractor
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from .. import text
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from . import hentaicdn
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import re
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import json
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class Hentai2readMangaExtractor(MangaExtractor):
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"""Extractor for hmanga from hentai2read.com"""
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category = "hentai2read"
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scheme = "https"
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pattern = [r"(?:https?://)?(?:www\.)?(hentai2read\.com/[^/]+/?)$"]
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test = [
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("http://hentai2read.com/amazon_elixir/", {
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"url": "273073752d418ec887d7f7211e42b832e8c403ba",
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}),
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("http://hentai2read.com/oshikage_riot/", {
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"url": "6595f920a3088a15c2819c502862d45f8eb6bea6",
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}),
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]
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def chapters(self, page):
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page = text.extract(
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page, '<ul class="nav-chapters remove-margin-b">', '</ul>\n</div>'
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)[0]
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return list(text.extract_iter(page, '<li>\n<a href="', '"'))
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class Hentai2readChapterExtractor(hentaicdn.HentaicdnChapterExtractor):
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"""Extractor for a single manga chapter from hentai2read.com"""
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category = "hentai2read"
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pattern = [r"(?:https?://)?(?:www\.)?hentai2read\.com/([^/]+)/(\d+)"]
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test = [("http://hentai2read.com/amazon_elixir/1/", {
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"url": "964b942cf492b3a129d2fe2608abfc475bc99e71",
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"keyword": "c05d0d0bbe188926b15a43df1f8f65b8ac11c3fd",
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})]
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def __init__(self, match):
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hentaicdn.HentaicdnChapterExtractor.__init__(self)
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url_title, self.chapter = match.groups()
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self.url = "https://hentai2read.com/{}/{}/".format(
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url_title, self.chapter
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)
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def get_job_metadata(self, page, images):
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title = text.extract(page, "<title>", "</title>")[0]
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match = re.match(r"Reading (?:(.+) dj - )?(.+) Hentai - \d+: ", title)
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return {
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"gallery-id": images[0].split("/")[-3],
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"chapter": self.chapter,
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"count": len(images),
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"series": match.group(1) or "",
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"title": match.group(2),
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"lang": "en",
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"language": "English",
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}
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@staticmethod
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def get_image_urls(page):
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"""Extract and return a list of all image-urls"""
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images = text.extract(page, "'images' : ", ",\n")[0]
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return json.loads(images)
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