# -*- coding: utf-8 -*- # Copyright 2015-2019 Mike Fährmann # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License version 2 as # published by the Free Software Foundation. """Extract manga-chapters and entire manga from https://mangapark.me/""" from .common import ChapterExtractor, MangaExtractor from .. import text, exception import json class MangaparkBase(): """Base class for mangapark extractors""" category = "mangapark" root_fmt = "https://mangapark.{}" @staticmethod def parse_chapter_path(path, data): """Get volume/chapter information from url-path of a chapter""" data["volume"], data["chapter_minor"] = 0, "" for part in path.split("/")[1:]: key, value = part[0], part[1:] if key == "c": chapter, dot, minor = value.partition(".") data["chapter"] = text.parse_int(chapter) data["chapter_minor"] = dot + minor elif key == "i": data["chapter_id"] = text.parse_int(value) elif key == "v": data["volume"] = text.parse_int(value) elif key == "s": data["stream"] = text.parse_int(value) elif key == "e": data["chapter_minor"] = "v" + value class MangaparkChapterExtractor(MangaparkBase, ChapterExtractor): """Extractor for manga-chapters from mangapark.me""" pattern = (r"(?:https?://)?(?:www\.)?mangapark\.(me|net|com)" r"/manga/([^?&#]+/i\d+)") test = ( ("https://mangapark.me/manga/gosu/i811615/c55/1", { "count": 50, "keyword": "373d678048d29492f9763743ccaa9b6d840f17cf", }), (("https://mangapark.me/manga" "/ad-astra-per-aspera-hata-kenjirou/i662054/c001.2/1"), { "count": 40, "keyword": "8e9cce4ed0e25d12a45e02f840d6f32ef838e257", }), ("https://mangapark.me/manga/gekkan-shoujo-nozaki-kun/i655476/c70/1", { "count": 15, "keyword": "19f730617074d65f91c0781f429de324890925bf", }), ("https://mangapark.net/manga/gosu/i811615/c55/1"), ("https://mangapark.com/manga/gosu/i811615/c55/1"), ) def __init__(self, match): tld, self.path = match.groups() self.root = self.root_fmt.format(tld) url = "{}/manga/{}?zoom=2".format(self.root, self.path) ChapterExtractor.__init__(self, match, url) def metadata(self, page): data = text.extract_all(page, ( ("manga_id" , "var _manga_id = '", "'"), ("chapter_id", "var _book_id = '", "'"), ("stream" , "var _stream = '", "'"), ("path" , "var _book_link = '", "'"), ("manga" , "

", "

"), ("title" , "", "<"), ), values={"lang": "en", "language": "English"})[0] if not data["path"]: raise exception.NotFoundError("chapter") self.parse_chapter_path(data["path"], data) data["manga"], _, data["type"] = data["manga"].rpartition(" ") data["manga"] = text.unescape(data["manga"]) data["title"] = data["title"].partition(": ")[2] for key in ("manga_id", "chapter_id", "stream"): data[key] = text.parse_int(data[key]) return data def images(self, page): data = json.loads(text.extract( page, "var _load_pages =", ";")[0] or "[]") return [ (text.urljoin(self.root, item["u"]), { "width": text.parse_int(item["w"]), "height": text.parse_int(item["h"]), }) for item in data ] class MangaparkMangaExtractor(MangaparkBase, MangaExtractor): """Extractor for manga from mangapark.me""" chapterclass = MangaparkChapterExtractor pattern = (r"(?:https?://)?(?:www\.)?mangapark\.(me|net|com)" r"(/manga/[^/?&#]+)/?$") test = ( ("https://mangapark.me/manga/aria", { "url": "a58be23ef3874fe9705b0b41dd462b67eaaafd9a", "keyword": "b3b5a30aa2a326bc0ca8b74c65b5ecd4bf676ebf", }), ("https://mangapark.net/manga/aria"), ("https://mangapark.com/manga/aria"), ) def __init__(self, match): self.root = self.root_fmt.format(match.group(1)) MangaExtractor.__init__(self, match, self.root + match.group(2)) def chapters(self, page): results = [] data = {"lang": "en", "language": "English"} data["manga"] = text.unescape( text.extract(page, '', ' Manga - ')[0]) for stream in page.split('<div id="stream_')[1:]: data["stream"] = text.parse_int(text.extract(stream, '', '"')[0]) for chapter in text.extract_iter(stream, '<li ', '</li>'): path , pos = text.extract(chapter, 'href="', '"') title, pos = text.extract(chapter, '>: </span>', '<', pos) count, pos = text.extract(chapter, ' of ', ' ', pos) self.parse_chapter_path(path[8:], data) data["title"] = title.strip() if title else "" data["count"] = text.parse_int(count) results.append((self.root + path, data.copy())) return results