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66 lines
2.5 KiB
66 lines
2.5 KiB
# -*- coding: utf-8 -*-
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# Copyright 2016-2018 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 manga-chapters from from http://raw.senmanga.com/"""
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from .common import Extractor, Message
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from .. import text
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class SenmangaChapterExtractor(Extractor):
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"""Extractor for manga-chapters from raw.senmanga.com"""
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category = "senmanga"
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subcategory = "chapter"
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directory_fmt = ["{category}", "{manga}", "{chapter_string}"]
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filename_fmt = "{manga}_{chapter_string}_{page:>03}.{extension}"
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archive_fmt = "{manga}_{chapter_string}_{page}"
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pattern = [r"(?:https?://)?raw\.senmanga\.com/([^/]+/[^/]+)"]
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test = [
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("http://raw.senmanga.com/Bokura-wa-Minna-Kawaisou/37A/1", {
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"url": "5f95140ff511d8497e2ec08fa7267c6bb231faec",
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"keyword": "705d941a150765edb33cd2707074bd703a93788c",
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"content": "0e37b1995708ffc175f2e175d91a518e6948c379",
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}),
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("http://raw.senmanga.com/Love-Lab/2016-03/1", {
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"url": "8347b9f00c14b864dd3c19a1f5ae52adb2ef00de",
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"keyword": "8a8ab2529ba2edfc83a6b3a8bede1d6c580db7b4",
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}),
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]
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root = "https://raw.senmanga.com"
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def __init__(self, match):
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Extractor.__init__(self)
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part = match.group(1)
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self.chapter_url = "{}/{}/".format(self.root, part)
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self.img_url = "{}/viewer/{}/".format(self.root, part)
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self.session.headers["Referer"] = self.chapter_url
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def items(self):
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data = self.get_job_metadata()
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yield Message.Version, 1
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yield Message.Directory, data
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for data["page"] in range(1, data["count"]+1):
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data["extension"] = None
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yield Message.Url, self.img_url + str(data["page"]), data
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def get_job_metadata(self):
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"""Collect metadata for extractor-job"""
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page = self.request(self.chapter_url).text
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self.session.cookies.clear()
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title, pos = text.extract(page, '<title>', '</title>')
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count, pos = text.extract(page, '</select> of ', '\n', pos)
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manga, _, chapter = title.partition(" - Chapter ")
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return {
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"manga": text.unescape(manga).replace("-", " "),
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"chapter_string": chapter.partition(" - Page ")[0],
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"count": text.parse_int(count),
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"lang": "jp",
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"language": "Japanese",
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}
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