calibre-web/cps/metadata_provider/amazon.py

136 lines
6.3 KiB
Python

# -*- 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 <http://www.gnu.org/licenses/>.
import concurrent.futures
import requests
from bs4 import BeautifulSoup as BS # requirement
from typing import List, Optional
try:
import cchardet #optional for better speed
except ImportError:
pass
from cps import logger
from cps.services.Metadata import MetaRecord, MetaSourceInfo, Metadata
#from time import time
from operator import itemgetter
log = logger.create()
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"
) -> Optional[List[MetaRecord]]:
#timer=time()
def inner(link,index) -> tuple[dict,int]:
with self.session as session:
try:
r = session.get(f"https://www.amazon.com/{link}")
r.raise_for_status()
except Exception as e:
log.warning(e)
return
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:
try:
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()
except Exception as e:
log.warning(e)
return None
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