374 lines
14 KiB
Python
374 lines
14 KiB
Python
# -*- coding: utf-8 -*-
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# This file is part of the Calibre-Web (https://github.com/janeczku/calibre-web)
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# Copyright (C) 2021 OzzieIsaacs
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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 as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import json
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import re
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from typing import Dict, List
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from urllib.parse import quote
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import requests
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from cps.services.Metadata import Metadata
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from lxml.html import fromstring, tostring
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def get_int_or_float(v):
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number_as_float = float(v)
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number_as_int = int(number_as_float)
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return number_as_int if number_as_float == number_as_int else number_as_float
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def strip_accents(s):
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if s is None:
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return s
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else:
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symbols = (
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"öÖüÜóÓőŐúÚéÉáÁűŰíÍąĄćĆęĘłŁńŃóÓśŚźŹżŻ",
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"oOuUoOoOuUeEaAuUiIaAcCeElLnNoOsSzZzZ",
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)
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tr = dict([(ord(a), ord(b)) for (a, b) in zip(*symbols)])
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return s.translate(tr) # .lower()
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def sanitize_comments_html(html):
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from markdown2 import Markdown
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text = html2text(html)
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md = Markdown()
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html = md.convert(text)
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return html
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def html2text(html):
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from html2text import HTML2Text
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import re
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# replace <u> tags with <span> as <u> becomes emphasis in html2text
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if isinstance(html, bytes):
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html = html.decode("utf-8")
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html = re.sub(
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r"<\s*(?P<solidus>/?)\s*[uU]\b(?P<rest>[^>]*)>",
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r"<\g<solidus>span\g<rest>>",
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html,
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)
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h2t = HTML2Text()
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h2t.body_width = 0
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h2t.single_line_break = True
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h2t.emphasis_mark = "*"
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return h2t.handle(html)
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class LubimyCzytac(Metadata):
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__name__ = "LubimyCzytac.pl"
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__id__ = "lubimyczytac"
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BASE_URL = "https://lubimyczytac.pl"
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BOOK_SEARCH_RESULT_XPATH = (
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"*//div[@class='listSearch']//div[@class='authorAllBooks__single']"
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)
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SINGLE_BOOK_RESULT_XPATH = ".//div[contains(@class,'authorAllBooks__singleText')]"
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TITLE_PATH = "/div/a[contains(@class,'authorAllBooks__singleTextTitle')]"
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TITLE_TEXT_PATH = f"{TITLE_PATH}//text()"
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URL_PATH = f"{TITLE_PATH}/@href"
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AUTHORS_PATH = "/div/a[contains(@href,'autor')]//text()"
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SIBLINGS = "/following-sibling::dd"
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CONTAINER = "//section[@class='container book']"
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PUBLISHER = f"{CONTAINER}//dt[contains(text(),'Wydawnictwo:')]{SIBLINGS}/a/text()"
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LANGUAGES = f"{CONTAINER}//dt[contains(text(),'Język:')]{SIBLINGS}/text()"
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DESCRIPTION = f"{CONTAINER}//div[@class='collapse-content']"
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SERIES = f"{CONTAINER}//span/a[contains(@href,'/cykl/')]"
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DETAILS = "//div[@id='book-details']"
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PUBLISH_DATE = "//dt[contains(@title,'Data pierwszego wydania"
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FIRST_PUBLISH_DATE = f"{DETAILS}{PUBLISH_DATE} oryginalnego')]{SIBLINGS}[1]/text()"
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FIRST_PUBLISH_DATE_PL = f"{DETAILS}{PUBLISH_DATE} polskiego')]{SIBLINGS}[1]/text()"
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TAGS = "//nav[@aria-label='breadcrumb']//a[contains(@href,'/ksiazki/k/')]/text()"
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RATING = "//meta[@property='books:rating:value']/@content"
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COVER = "//meta[@property='og:image']/@content"
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SUMMARY = "//script[@type='application/ld+json']//text()"
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def search(self, query, __):
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if self.active:
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result = requests.get(self._prepare_query(title=query))
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root = fromstring(result.text)
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matches = self._parse_search_results(root=root)
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if matches:
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for ind, match in enumerate(matches):
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matches[ind] = self._parse_single_book(match=match)
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return matches
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def _prepare_query(self, title: str) -> str:
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query = ""
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characters_to_remove = "\?()\/"
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pattern = "[" + characters_to_remove + "]"
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title = re.sub(pattern, "", title)
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title = title.replace("_", " ")
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if '"' in title or ",," in title:
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title = title.split('"')[0].split(",,")[0]
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if "/" in title:
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title_tokens = [
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token for token in title.lower().split(" ") if len(token) > 1
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]
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else:
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title_tokens = list(
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self.get_title_tokens(title, strip_joiners=False, strip_subtitle=True)
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)
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if title_tokens:
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tokens = [quote(t.encode("utf-8")) for t in title_tokens]
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query = query + "%20".join(tokens)
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if not query:
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return ""
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return f"{LubimyCzytac.BASE_URL}/szukaj/ksiazki?phrase={query}"
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def _parse_search_results(self, root) -> List[Dict]:
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matches = []
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results = root.xpath(LubimyCzytac.BOOK_SEARCH_RESULT_XPATH)
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for result in results:
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title = result.xpath(
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f"{LubimyCzytac.SINGLE_BOOK_RESULT_XPATH}"
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f"{LubimyCzytac.TITLE_TEXT_PATH}"
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)
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book_url = result.xpath(
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f"{LubimyCzytac.SINGLE_BOOK_RESULT_XPATH}" f"{LubimyCzytac.URL_PATH}"
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)
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authors = result.xpath(
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f"{LubimyCzytac.SINGLE_BOOK_RESULT_XPATH}"
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f"{LubimyCzytac.AUTHORS_PATH}"
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)
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if not title or not book_url or not authors:
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continue
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title = title[0].strip()
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book_url = LubimyCzytac.BASE_URL + book_url[0]
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book_id = book_url.replace(f"{LubimyCzytac.BASE_URL}/ksiazka/", "").split(
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"/"
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)[0]
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matches.append(
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{"id": book_id, "title": title, "authors": authors, "url": book_url}
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)
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return matches
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def _parse_single_book(self, match: Dict) -> Dict:
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url = match.get("url")
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result = requests.get(url)
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root = fromstring(result.text)
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match["series"], match["series_index"] = self._parse_series(root=root)
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match["tags"] = self._parse_tags(root=root)
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match["publisher"] = self._parse_publisher(root=root)
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match["publishedDate"] = self._parse_from_summary(
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root=root, attribute_name="datePublished"
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)
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match["rating"] = self._parse_rating(root=root)
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match["description"] = self._parse_description(root=root)
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match["cover"] = self._parse_cover(root=root)
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match["source"] = {
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"id": self.__id__,
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"description": self.__name__,
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"link": LubimyCzytac.BASE_URL,
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}
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match['languages'] = self._parse_languages(root=root)
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match["identifiers"] = {
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"isbn": self._parse_isbn(root=root),
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"lubimyczytac": match["id"],
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}
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return match
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def _parse_cover(self, root):
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imgcol_node = root.xpath('//meta[@property="og:image"]/@content')
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if imgcol_node:
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img_url = imgcol_node[0]
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return img_url
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def _parse_publisher(self, root):
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publisher = root.xpath(LubimyCzytac.PUBLISHER)
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if publisher:
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return publisher[0]
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else:
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return None
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def _parse_languages(self, root):
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lang = root.xpath(LubimyCzytac.LANGUAGES)
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languages = list()
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if lang:
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lang = lang[0].strip()
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if "polski" in lang:
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languages.append("Polish")
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if "angielski" in lang:
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languages.append("English")
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if not languages:
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return ['Polish']
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return languages
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def _parse_series(self, root):
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try:
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series_node = root.xpath(LubimyCzytac.SERIES)
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if series_node:
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series_lst = root.xpath(f"{LubimyCzytac.SERIES}/text()")
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if series_lst:
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series_txt = series_lst
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else:
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series_txt = None
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else:
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return (None, None)
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if series_txt:
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ser_string = [series_txt[0].replace("\n", "").strip()]
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ser_nazwa = ser_string
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for ser in ser_string:
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if "tom " in ser:
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ser_info = ser.split(" (tom ", 1)
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ser_nazwa = ser.split(" (tom ")[0]
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break
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if ser_info:
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series_index_unicode = ser_info[1]
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series_index_string = str(
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series_index_unicode.replace(" ", "").replace(")", "")
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)
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# Sprawdzamy, czy cykl nie jest kompletem/pakietem tomów, np. 1-3
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if "-" in series_index_string:
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series_index_string_temp = series_index_string.split("-", 1)
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series_index_string = series_index_string_temp[0]
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if series_index_string.replace(".", "").isdigit() is True:
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series_index = get_int_or_float(series_index_string)
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else:
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series_index = 0
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else:
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series_index = 0
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series = ser_nazwa
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return (series, series_index)
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except:
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return (None, None)
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def _parse_tags(self, root):
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tags = None
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try:
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tags_from_genre = root.xpath(LubimyCzytac.TAGS)
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if tags_from_genre:
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tags = tags_from_genre
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tags = [w.replace(", itd.", " itd.") for w in tags]
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return tags
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else:
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return None
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except:
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return tags
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def _parse_from_summary(self, root, attribute_name: str) -> str:
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data = json.loads(root.xpath(LubimyCzytac.SUMMARY)[0])
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value = data.get(attribute_name)
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return value.strip() if value is not None else value
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def _parse_rating(self, root):
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rating_node = root.xpath(LubimyCzytac.RATING)
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if rating_node:
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rating_value = round(float((rating_node[0]).replace(",", ".")) / 2)
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return rating_value
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return None
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def _parse_date(self, root, xpath="first_publish"):
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options = {
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"first_publish": LubimyCzytac.FIRST_PUBLISH_DATE,
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"first_publish_pl": LubimyCzytac.FIRST_PUBLISH_DATE_PL,
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}
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path = options.get(xpath)
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from dateutil import parser
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data = root.xpath(path)
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if data:
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first_pub_date = data[0].strip()
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return parser.parse(first_pub_date)
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return None
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def _parse_isbn(self, root):
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isbn_node = root.xpath('//meta[@property="books:isbn"]/@content')[0]
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return isbn_node
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def _parse_description(self, root):
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comments = ""
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description_node = root.xpath(LubimyCzytac.DESCRIPTION)
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if description_node:
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for zrodla in root.xpath('//p[@class="source"]'):
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zrodla.getparent().remove(zrodla)
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comments = tostring(description_node[0], method="html")
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comments = sanitize_comments_html(comments)
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else:
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# try <meta>
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description_node = root.xpath('//meta[@property="og:description"]/@content')
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if description_node:
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comments = description_node[0]
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comments = sanitize_comments_html(comments)
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pages = self._parse_from_summary(root=root, attribute_name="numberOfPages")
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if pages:
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comments += f'<p id="strony">Książka ma {pages} stron(y).</p>'
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first_publish_date = self._parse_date(root=root)
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if first_publish_date:
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comments += f'<p id="pierwsze_wydanie">Data pierwszego wydania: {first_publish_date.strftime("%d.%m.%Y")}</p>'
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first_publish_date_pl = self._parse_date(root=root, xpath="first_publish_pl")
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if first_publish_date_pl:
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comments += f'<p id="pierwsze_wydanie_pl">Data pierwszego wydania w Polsce: {first_publish_date_pl.strftime("%d.%m.%Y")}</p>'
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return comments
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def get_title_tokens(self, title, strip_joiners=True, strip_subtitle=False):
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"""
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Taken from https://github.com/kovidgoyal/calibre/blob/master/src/calibre/ebooks/metadata/sources/base.py.
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"""
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# strip sub-titles
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if strip_subtitle:
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subtitle = re.compile(r"([\(\[\{].*?[\)\]\}]|[/:\\].*$)")
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if len(subtitle.sub("", title)) > 1:
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title = subtitle.sub("", title)
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title_patterns = [
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(re.compile(pat, re.IGNORECASE), repl)
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for pat, repl in [
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# Remove things like: (2010) (Omnibus) etc.
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(
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r"(?i)[({\[](\d{4}|omnibus|anthology|hardcover|audiobook|audio\scd|paperback|turtleback|mass\s*market|edition|ed\.)[\])}]",
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"",
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),
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# Remove any strings that contain the substring edition inside
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# parentheses
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(r"(?i)[({\[].*?(edition|ed.).*?[\]})]", ""),
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# Remove commas used a separators in numbers
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(r"(\d+),(\d+)", r"\1\2"),
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# Remove hyphens only if they have whitespace before them
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(r"(\s-)", " "),
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# Replace other special chars with a space
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(r"""[:,;!@$%^&*(){}.`~"\s\[\]/]《》「」“”""", " "),
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]
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]
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for pat, repl in title_patterns:
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title = pat.sub(repl, title)
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tokens = title.split()
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for token in tokens:
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token = token.strip().strip('"').strip("'")
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if token and (
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not strip_joiners or token.lower() not in ("a", "and", "the", "&")
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):
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yield token
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