部分截图
代码思路
1. 目录结构
首先，我们先看一下整体目录结构
├─ excel_func.py 读写excel文件
├─ pyqt_gui.py PyQt GUI界面
└─ wereader.py 微信读书相关api
excel_func.py
使用xlrd和xlwt库对excel文件进行读写操作
pyqt_gui.py
使用PyQt绘制GUI界面
wereader.py
通过抓包解析获得相关api
2. excel_func.py
def write_excel_xls(path, sheet_name_list, value):
# 新建一个工作簿
workbook = xlwt.Workbook()
# 获取需要写入数据的行数
index = len(value)
for sheet_name in sheet_name_list:
# 在工作簿中新建一个表格
sheet = workbook.add_sheet(sheet_name)
# 往这个工作簿的表格中写入数据
for i in range(0, index):
for j in range(0, len(value[i])):
sheet.write(i, j, value[i][j])
# 保存工作簿
workbook.save(path)
该函数的代码流程为:
创建excel文件
创建表格
往表格写入数据
3. pyqt_gui.py
class MainWindow(QMainWindow):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.DomainCookies = {}
self.setWindowTitle('微信读书助手') # 设置窗口标题
self.resize(900, 600) # 设置窗口大小
self.setWindowFlags(Qt.WindowMinimizeButtonHint) # 禁止最大化按钮
self.setFixedSize(self.width(), self.height()) # 禁止调整窗口大小
url = 'https://weread.qq.com/#login' # 目标地址
self.browser = QWebEngineView() # 实例化浏览器对象
QWebEngineProfile.defaultProfile().cookieStore().deleteAllCookies() # 初次运行软件时删除所有cookies
QWebEngineProfile.defaultProfile().cookieStore().cookieAdded.connect(self.onCookieAdd) # cookies增加时触发self.onCookieAdd()函数
self.browser.loadFinished.connect(self.onLoadFinished) # 网页加载完毕时触发self.onLoadFinished()函数
self.browser.load(QUrl(url)) # 加载网页
self.setCentralWidget(self.browser) # 设置中心窗口
该函数的代码流程为:
1.新建QT窗口
2.实例化QWebEngineView对象
3.绑定self.onCookieAdd事件
4.绑定self.onLoadFinished事件
5.加载网页
# 网页加载完毕事件
def onLoadFinished(self):
global USER_VID
global HEADERS
# 获取cookies
cookies = ['{}={};'.format(key, value) for key,value in self.DomainCookies.items()]
cookies = ' '.join(cookies)
# 添加Cookie到header
HEADERS.update(Cookie=cookies)
# 判断是否成功登录微信读书
if login_success(HEADERS):
print('登录微信读书成功!')
# 获取用户user_vid
if 'wr_vid' in self.DomainCookies.keys():
USER_VID = self.DomainCookies['wr_vid']
print('用户id:{}'.format(USER_VID))
# 关闭整个qt窗口
self.close()
else:
print('请扫描二维码登录微信读书...')
该函数的代码流程为:
1.当网页加载完毕时，检测是否成功登录微信读书
2.如果成功登录微信读书，则关闭QT窗口，开始进行数据导出
3.如果失败登录微信读书，则继续等待用户扫描二维码
# 添加cookies事件
def onCookieAdd(self, cookie):
if 'weread.qq.com' in cookie.domain():
name = cookie.name().data().decode('utf-8')
value = cookie.value().data().decode('utf-8')
if name not in self.DomainCookies:
self.DomainCookies.update({name: value})
该函数的代码流程为:
1.保存微信读书网址的cookies，以便后续操作
books = get_bookshelf(USER_VID, HEADERS) # 获取书架上的书籍
books_finish_read = books['finishReadBooks']
books_recent_read = books['recentBooks']
books_all = books['allBooks']
write_excel_xls_append(data_dir + '我的书架.xls', '已读完的书籍', books_finish_read) # 追加写入excel文件
write_excel_xls_append(data_dir + '我的书架.xls', '最近阅读的书籍', books_recent_read) # 追加写入excel文件
write_excel_xls_append(data_dir + '我的书架.xls', '所有的书籍', books_all) # 追加写入excel文件
# 获取书架上的每本书籍的笔记
for index, book in enumerate(books_finish_read):
book_id = book[0]
book_name = book[1]
notes = get_bookmarklist(book[0], HEADERS)
with open(note_dir + book_name + '.txt', 'w') as f:
f.write(notes)
print('导出笔记 {} ({}/{})'.format(note_dir + book_name + '.txt', index+1, len(books_finish_read)))
该函数的代码流程为:
1.调用write_excel_xls_append函数，保存书籍，并且导出笔记
4. wereader.py
def get_bookshelf(userVid, headers):
"""获取书架上所有书"""
url = "https://i.weread.qq.com/shelf/friendCommon"
params = dict(userVid=userVid)
r = requests.get(url, params=params, headers=headers, verify=False)
if r.ok:
data = r.json()
else:
raise Exception(r.text)
books_finish_read = set() # 已读完的书籍
books_recent_read = set() # 最近阅读的书籍
books_all = set() # 书架上的所有书籍
for book in data['recentBooks']:
if not book['bookId'].isdigit(): # 过滤公众号
continue
b = Book(book['bookId'], book['title'], book['author'], book['cover'], book['intro'], book['category'])
books_recent_read.add(b)
books_all = books_finish_read + books_recent_read
return dict(finishReadBooks=books_finish_read, recentBooks=books_recent_read, allBooks=books_all)
该函数的代码流程为:
1.获取最近阅读的书籍、已经读完的书籍、所有书籍
2.过滤公众号部分
3.将书籍数据保存为字典格式
def get_bookmarklist(bookId, headers):
"""获取某本书的笔记返回md文本"""
url = "https://i.weread.qq.com/book/bookmarklist"
params = dict(bookId=bookId)
r = requests.get(url, params=params, headers=headers, verify=False)
if r.ok:
data = r.json()
# clipboard.copy(json.dumps(data, indent=4, sort_keys=True))
else:
raise Exception(r.text)
chapters = {c['chapterUid']: c['title'] for c in data['chapters']}
contents = defaultdict(list)
for item in sorted(data['updated'], key=lambda x: x['chapterUid']):
# for item in data['updated']:
chapter = item['chapterUid']
text = item['markText']
create_time = item["createTime"]
start = int(item['range'].split('-')[0])
contents[chapter].append((start, text))
chapters_map = {title: level for level, title in get_chapters(int(bookId), headers)}
res = ''
for c in sorted(chapters.keys()):
title = chapters[c]
res += '#' * chapters_map[title] + ' ' + title + '\n'
for start, text in sorted(contents[c], key=lambda e: e[0]):
res += '> ' + text.strip() + '\n\n'
res += '\n'
return res
该函数的代码流程为:
1.获取某一本书籍的笔记
2.将返回的字符串改写成markdown格式并输出
如何运行
# 跳转到当前目录
cd 目录名
# 先卸载依赖库
pip uninstall -y -r requirement.txt
# 再重新安装依赖库
pip install -r requirement.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
# 开始运行
python pyqt_gui.py
补充
完整版源代码存放在github上，有需要的请点击这里下载
https://github.com/shengqiangzhang/examples-of-web-crawlers
