语雀文档批量导出为Markdown文件

一、前言

语雀的定位由之前的社区转向工具，也不提供批量导出Markdown的功能，有开发者提供了导出脚本可以通过语雀官方API帮我们把文档批量导出为Markdown，方便我们把文档导入notion等其他平台或者备份在本地，以备不时之需

环境依赖

二、操作步骤

1、创建Token

登录语雀后在账户设置中可以创建Token，供访问API使用：https://www.yuque.com/settings/tokens/new
根据最小授权原则，这里只授予读取知识库以及文档的权限即可

2、安装Python

访问官网，下载自己操作系统对应的Python3 https://www.python.org/downloads/

查看版本

python -V

#输出内容
Python 3.11.0

#如果输出的是Python 2.x，可以使用Python3 -v查看
#后续依赖安装也要使用pip3命令

4、安装依赖

通过pip（Python内置包管理工具）安装代码所需依赖

pip install requests psutil

#输出内容
Collecting requests
  Downloading requests-2.28.1-py3-none-any.whl (62 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.8/62.8 kB 1.1 MB/s eta 0:00:00
Collecting psutil
  Downloading psutil-5.9.4-cp36-abi3-win_amd64.whl (252 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 252.5/252.5 kB 2.6 MB/s eta 0:00:00
###省略其他依赖安装内容###
Installing collected packages: urllib3, psutil, idna, charset-normalizer, certifi, requests
Successfully installed certifi-2022.9.24 charset-normalizer-2.1.1 idna-3.4 psutil-5.9.4 requests-2.28.1 urllib3-1.26.13

5、代码及配置

创建导出目录，例如：d:\yuque，~/yuque
1、创建配置文件config.json

{
    "TOKEN": "your token",                                
    "USER_AGENT": "yuque_export",  
    "BASE_URL": "https://customspace.yuque.com/api/v2",
    "DATA_PATH": "yuque_data"                             
}

2、创建Python脚本yuque.py

import json
import sys
import os
import re
import requests
import psutil
from datetime import datetime

if getattr(sys, 'frozen', False):
    APPLICATION_PATH = os.path.dirname(sys.executable)
else:
    APPLICATION_PATH = os.path.dirname('.')
print(APPLICATION_PATH)
jsonConfig = json.load(open(os.path.join(APPLICATION_PATH, "config.json"), encoding='utf-8'))


class ExportYueQueDoc:
    def __init__(self):
        try:
            if getattr(sys, 'frozen', False):
                APPLICATION_PATH = os.path.dirname(sys.executable)
            else:
                APPLICATION_PATH = os.path.dirname('.')
            self.jsonConfig = json.load(open(os.path.join(APPLICATION_PATH, "config.json"), encoding='utf-8'))
            self.base_url = self.jsonConfig['BASE_URL']
            self.token = self.jsonConfig['TOKEN']
            self.headers = {
                "User-Agent": self.jsonConfig['USER_AGENT'],
                "X-Auth-Token": self.jsonConfig['TOKEN']
            }
            self.data_path = self.jsonConfig['DATA_PATH']
        except:
            raise ValueError("config.json 有误")

    def get_user_info(self):
        res_obj = requests.get(url=self.base_url + '/user', headers=self.headers)
        if res_obj.status_code != 200:
            raise ValueError("Token 信息错误")
        user_json = res_obj.json()
        self.login_id = user_json['data']['login']
        self.uid = user_json['data']['id']
        self.username = user_json['data']['name']
        print("=========== 用户信息初始化成功 ==========")

    def get_repos_data(self):
        repos_json = requests.get(self.base_url + '/users/' + self.login_id + '/repos', headers=self.headers).json()
        repos_list = []
        for item in repos_json['data']:
            rid = item['id']  # 知识库id
            name = item['name']  # 知识库名称
            repos_list.append({"rid": rid, "repos_name": name})
        return repos_list

    def get_article_data(self, repos_list):
        """获取文章数据"""
        article_list = []
        for repos in repos_list:
            article_datas = requests.get(self.base_url + '/repos/' + str(repos['rid']) + '/docs',
                                         headers=self.headers).json()
            for item in article_datas['data']:
                bid = repos['rid']
                title = item['title']  # 文章标题
                desc = item['description']
                slug = item['slug']
                article_list.append(
                    {"bid": bid, "title": title, "desc": desc, "slug": slug, "repos_name": repos["repos_name"]})

        for item in article_list:
            per_article_data = requests.get(self.base_url + '/repos/' + str(item['bid']) + '/docs/' + item['slug'],
                                            headers=self.headers).json()
            posts_text = re.sub(r'\\n', "\n", per_article_data['data']['body'])
            result = re.sub(r'<a name="(.*)"></a>', "", posts_text)
            # all_datas.append({"title": item['title'], "content": result})
            yield result, item["repos_name"], item['title']

    def save_article(self, result, repos_name, title):
        current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
        dir_path = f"{self.data_path}/{repos_name}"
        dir_path = dir_path.replace(".","_")
        filepath = dir_path + f"/{title}.md"
        dir_ret = os.path.exists(dir_path)
        if not dir_ret:
            os.makedirs(dir_path)
            #exists_ret = os.path.exists(filepath)
        try:
            with open(filepath, 'a', encoding="utf-8") as fp:
                fp.writelines(result)
                print(f"[{current_time}]  {title} 导出完成")
        except Exception as e:
            print(f"[{current_time}]  {title} 导出失败")

    def main(self):
        self.get_user_info()
        repos_list = self.get_repos_data()
        gen_obj = self.get_article_data(repos_list)
        for item in gen_obj:
            self.save_article(item[0], item[1], item[2])


if __name__ == "__main__":
    yq = ExportYueQueDoc()
    yq.main()

6、执行导出

python yuque.py

#输出内容示例
=========== 用户信息初始化成功 ==========
[2022-12-06 22:56:55]  语雀批量导出Markdown-ken.io 写入完成
[2022-12-06 22:56:55]  浅谈软件设计模式与设计原则-ken.io 写入完成
[2022-12-06 22:56:55]  常用正则表达式收集-ken.io 写入完成
[2022-12-06 22:56:55]  XShell管理远程Linux服务器安装&配置教程-ken.io 写入完成
[2022-12-06 22:56:55]  Windows下Nginx安装与配置教程-ken.io 写入完成
[2022-12-06 22:56:55]  Ken.io 从ASP.NET Core 3.1迁移到5.0

导出成功后可以在config.json设置的目录中看到导出结果

三、备注

1、可能碰到的问题

Python版本问题

python yuque.py
#输出内容
  File "yuque.py", line 78
    dir_path = f"{self.data_path}/{repos_name}"
                                              ^
SyntaxError: invalid syntax

这种情况可能是因为系统安装了多个Python版本，而默认的Python版本是2.x
这时候我们可以用以下命令指定Python3

#安装依赖
pip3 install requests psutil

#执行导出
python3 yuque.py

2、本文参考

https://blog.csdn.net/weixin_44797182/article/details/128059847