from email.encoders import encode_noop
import json
import parsel
import requests
from bs4 import BeautifulSoup


def findNovelContent(url, name):
    headers = {
        'User-Agent': 'MMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
                      'Chrome/100.0.4896.127 Safari/537.36 Edg/100.0.1185.44 '
    }  # 伪装成浏览器防止被反爬虫
    response = requests.get(url=url, headers=headers).text  # 获取网页源码
    soup = BeautifulSoup(response, 'lxml')  # 创建beautifulsoup对象
    #print(soup)
    li_list = soup.select('.ml_list>ul>li')  # 获取class='ml_list'下ul标签中所有li标签的内容
    fp = open(name + '.txt', 'w', encoding='UTF-8')  # 以写的方式创建一个文本文件编码方式为utf-8
    for li in li_list:
        title = li.string  # 获取章节标题
        detail_url = 'https://www.1234u.net' + li.a['href']  # 将网页的前半部分与章节的href连接起来
        detail_page_text = requests.get(url=detail_url, headers=headers).text  # 获取章节内容的网页源码
        detail_soup = BeautifulSoup(detail_page_text, 'lxml')
        div_tag = detail_soup.find('p', class_="articlecontent")  # 爬取章节内容
        content = div_tag.text
        fp.write(title + ':' + content + '\n')  # 将内容写入文件
        print(title, '爬取成功！！！')


def findNovelPrice(book_list):
    for item in iter(book_list):  # 逐元素遍历book_list
        ls = []  # 新建空列表，用来保存之后存入的数据
        print("开始爬取{0}的信息".format(item))
        for page in range(1, 99):
            print(f'========================正在保存第{page}页数据内容===================================')
            url = f'https://search.dangdang.com/?key={item}&act=input&page_index={page}'  # item为书名，page为页数
            headers = {
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)' 
                'Chrome/101.0.4951.41 Safari/537.36 Edg/101.0.1210.32'
                }  # 请求头信息
            response = requests.get(url=url, headers=headers)  # 向服务器发送请求
            selector = parsel.Selector(response.text)  # 初始化parsel对象
            
            lis = selector.css('.bigimg li')  # 获取到所有的li标签
            for li in lis:  # 从li标签中提取到书籍所有的信息
                title = li.css('.name a::attr(title)').get()  # 标题/书名
                price_n = li.css('.price .search_now_price::text').get()  # 售价
                dit = {
                    '标题': title,
                    '售价': price_n,  
                }
                ls.append(dit)
        file_name = str(item) + '.json'  # 将book_list中元素附带上后缀后作为文件名
        fw = open(file_name, "w", encoding='utf-8')
        a = json.dumps(ls[1:], sort_keys=False, indent=4, ensure_ascii=False)  # 转换为json对象
        fw.write(a)  # 将json对象写入文件
        fw.close()  # 关闭文件


def findNovelComment(novelname, url):
    # 伪装成浏览器防止被反爬虫
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) "
        "Chrome/84.0.4147.89 Safari/537.36 SLBrowser/7.0.0.12151 SLBChan/11 "
    }
    # 获取评论的地址
    res = requests.get(url=url, headers=headers)
    res = BeautifulSoup(res.text, "lxml")  # 将爬取的数据改成lxml的格式

    comments = res.find("div", id="comments")
    print(comments)
    p_list = comments.find_all("p")

    # 将读取到的评论写入的txt文本中
    data_list = []  # 将内容先存入列表中
    for i in p_list:
        data_list.append(i.find("span").string)
    with open("三国演义短评.txt", "a",errors='ignore')as f:
        f.write(novelname + '\n')
        for i in data_list:  # 将列表内容写入文本文件
            f.write(i + "\n")# 将每段评论换行写入


if __name__ == '__main__':
    # 小说内容参数
    param = {'三国演义': 'https://www.1234u.net/xiaoshuo/121/121220/'}
    for a, b in param.items():
        findNovelContent(b, a)

    #小说价格，名称
    book_list = ['三国演义']
    findNovelPrice(book_list)

    # 小说书评
    param1 = {
        '\n--------三国演义--------\n': "https://book.douban.com/subject/26416768/comments/?start=0&limit=20&status=P&sort"
                                    "=new_score"
                                    }
    for name, url in param1.items():
        findNovelComment(name, url)
    print("评语爬取成功！！")