# -*- coding: utf-8 -*- # This file is part of the Calibre-Web (https://github.com/janeczku/calibre-web) # Copyright (C) 2022 quarz12 # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . import concurrent.futures import requests from bs4 import BeautifulSoup as BS # requirement try: import cchardet #optional for better speed except ImportError: pass from cps.services.Metadata import MetaRecord, MetaSourceInfo, Metadata #from time import time from operator import itemgetter class Amazon(Metadata): __name__ = "Amazon" __id__ = "amazon" headers = {'upgrade-insecure-requests': '1', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9', 'sec-gpc': '1', 'sec-fetch-site': 'none', 'sec-fetch-mode': 'navigate', 'sec-fetch-user': '?1', 'sec-fetch-dest': 'document', 'accept-encoding': 'gzip, deflate, br', 'accept-language': 'en-US,en;q=0.9'} session = requests.Session() session.headers=headers def search( self, query: str, generic_cover: str = "", locale: str = "en" ): #timer=time() def inner(link,index)->[dict,int]: with self.session as session: r = session.get(f"https://www.amazon.com/{link}") r.raise_for_status() long_soup = BS(r.text, "lxml") #~4sec :/ soup2 = long_soup.find("div", attrs={"cel_widget_id": "dpx-books-ppd_csm_instrumentation_wrapper"}) if soup2 is None: return try: match = MetaRecord( title = "", authors = "", source=MetaSourceInfo( id=self.__id__, description="Amazon Books", link="https://amazon.com/" ), url = f"https://www.amazon.com/{link}", #the more searches the slower, these are too hard to find in reasonable time or might not even exist publisher= "", # very unreliable publishedDate= "", # very unreliable id = None, # ? tags = [] # dont exist on amazon ) try: match.description = "\n".join( soup2.find("div", attrs={"data-feature-name": "bookDescription"}).stripped_strings)\ .replace("\xa0"," ")[:-9].strip().strip("\n") except (AttributeError, TypeError): return None # if there is no description it is not a book and therefore should be ignored try: match.title = soup2.find("span", attrs={"id": "productTitle"}).text except (AttributeError, TypeError): match.title = "" try: match.authors = [next( filter(lambda i: i != " " and i != "\n" and not i.startswith("{"), x.findAll(text=True))).strip() for x in soup2.findAll("span", attrs={"class": "author"})] except (AttributeError, TypeError, StopIteration): match.authors = "" try: match.rating = int( soup2.find("span", class_="a-icon-alt").text.split(" ")[0].split(".")[ 0]) # first number in string except (AttributeError, ValueError): match.rating = 0 try: match.cover = soup2.find("img", attrs={"class": "a-dynamic-image frontImage"})["src"] except (AttributeError, TypeError): match.cover = "" return match, index except Exception as e: print(e) return val = list() if self.active: results = self.session.get( f"https://www.amazon.com/s?k={query.replace(' ', '+')}&i=digital-text&sprefix={query.replace(' ', '+')}" f"%2Cdigital-text&ref=nb_sb_noss", headers=self.headers) results.raise_for_status() soup = BS(results.text, 'html.parser') links_list = [next(filter(lambda i: "digital-text" in i["href"], x.findAll("a")))["href"] for x in soup.findAll("div", attrs={"data-component-type": "s-search-result"})] with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor: fut = {executor.submit(inner, link, index) for index, link in enumerate(links_list[:5])} val=list(map(lambda x : x.result() ,concurrent.futures.as_completed(fut))) result=list(filter(lambda x: x, val)) return [x[0] for x in sorted(result, key=itemgetter(1))] #sort by amazons listing order for best relevance