#!/user/bin/python3 from douban import Douban import os import sys def is_image(fname): return fname.endswith(tuple(['.jpg', '.png', 'jpeg', '.svg', '.gif'])) args = sys.argv[1::] text = ' ' text = '\n'.join([i for i in args if not is_image(i)]) imgs = [str(os.path.realpath(i)) for i in args if is_image(i)] Douban().postMedia(text, imgs)
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
from douban import Douban, Heap
a = Douban()
print('####基于内容的豆瓣图书推荐系统####')
print('本系统可为您推荐您感兴趣的书籍的相关书籍!')
print('#######################################')
judge = 1
while (judge != '0'):
print('请输入您想查询的书籍名称')
name = input()
book_id = a.get_id(name)
if book_id == -1:
print('抱歉暂时没有您想查找的书籍！ 按“1”继续查询，按“0”结束程序')
judge = input()
else:
print('请输入您想查找的最相关书籍数量')
n = input()
results = a.find_near(book_id, int(n))
print('查询结果为:')
while (len(results)):
data = results.pop()
info = a.get_info(data[0])
print(info[1] + ' 相关度: ' + str(data[1]))
print('作者： ' + info[2] + info[3] + ' 评分:' + str(info[4]))
print('简介： ' + info[5])
print(
'**************************************************************************************'
)
import requests
from douban import Douban
if __name__ == "__main__":
s = requests.Session()
headers = {
"User-Agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36 Edg/85.0.564.60"
}
isbn = "9787533687557"
subject = "30761557"
# bk = Douban(isbn=isbn)
bk = Douban(douban=subject)
r = s.get(bk.url, headers=headers)
# r = s.get('https://book.douban.com/subject/30761557/', headers = headers)
bk.parse(r)
print(r.url)
print(bk.__dict__)
# cmd = "calibredb add -e -t {title} -T HomeLibrary".format(title=title)
# if "作者" in meta:
# cmd += " -a {作者}".format(**meta)
# if "ISBN" in meta:
# cmd += " -i {ISBN}".format(**meta)
