思源笔记用Python+quicker实现自动添加标题编号

实现原理: 通过 Python 访问笔记的源文件, 将标题前面增加编号+tab 键, 在写回源文件
为防止重复写入, 每次编号前会清理之前编号清除, 清理原理为将标题行用 tab 键分割, 只保留最后一个 tab 后的内容, 因此标题中除了标号后面的 tab 键之外, 不能有其他 tab 键
源代码如下:

#清理标题代码
import json
import pyperclip
class ClearHeader:
    def run(self,file_path):
        with open(file_path,'r',encoding='utf-8') as f:
            result = f.read()
        temp_dict = json.loads(result)
        for i in range(len(temp_dict['Children'])):
            if(temp_dict['Children'][i]["Type"] == "NodeHeading"):
                ss = temp_dict['Children'][i]["Children"][0]["Data"]
                temp_list = ss.split('\t')
                temp_dict['Children'][i]["Children"][0]["Data"] = temp_list[-1]
        text_str = json.dumps(temp_dict,sort_keys=False,  indent=4, separators=(',', ': '), ensure_ascii=False)
        with open(file_path, 'w',encoding='utf-8') as f:
            f.write(text_str)
if __name__ == "__main__":
    file_path  = pyperclip.paste().replace('\"','')
    s = ClearHeader()
    s.run(file_path)

添加标题代码:

import json
from clear_header import ClearHeader
import pyperclip

file_path  = pyperclip.paste().replace('\"','')
s = ClearHeader()
s.run(file_path)

header_index = [0,0,0,0,0]
with open(file_path,'r',encoding='utf-8') as f:
    result = f.read()
temp_dict = json.loads(result)
# print(temp_dict['Children'])
for i in range(len(temp_dict['Children'])):
    # print(each['Children'],type(each['Children']))
    if(temp_dict['Children'][i]["Type"] == "NodeHeading"):
        if(temp_dict['Children'][i]["HeadingLevel"]==1):
            header_index[1] += 1
            header_index[2] = 0
            header_index[3] = 0
            header_index[4] = 0
            temp_header = str(header_index[1]) + '\t'
        elif(temp_dict['Children'][i]["HeadingLevel"]==2):
            header_index[2] += 1
            header_index[3] = 0
            header_index[4] = 0
            temp_header = str(header_index[1])+'.'+str(header_index[2]) + '\t'
        elif(temp_dict['Children'][i]["HeadingLevel"]==3):
            header_index[3] += 1
            header_index[4] = 0
            temp_header = f'{header_index[1]}.{header_index[2]}.{header_index[3]}\t'
        elif(temp_dict['Children'][i]["HeadingLevel"]==4):
            header_index[4] += 1
            temp_header = f'{header_index[1]}.{header_index[2]}.{header_index[3]}.{header_index[4]}\t'
        temp_dict['Children'][i]["Children"][0]["Data"] =temp_header + temp_dict['Children'][i]["Children"][0]["Data"]
        print(temp_dict['Children'][i]["Children"][0]["Data"],)
text_str = json.dumps(temp_dict,sort_keys=False,  indent=4, separators=(',', ': '), ensure_ascii=False)
with open(file_path, 'w',encoding='utf-8') as f:
    f.write(text_str)

使用时只需要复制当前笔记文件的绝对路径, 然后执行响应的 Python 文件即可
如果安装了 quicker, 可以更加方便的启动
最终效果为:
https://liuboyan-mynote-markdown.oss-cn-guangzhou.aliyuncs.com/img/2023-02-07_16-43-40.mp4

注意, 执行完程序后 F5 刷新, 思源才会更新显示
如果没有 Python 和 quicker , 也可以把 Python 发布成 exe 文件, 复制地址后, 双击运行对应 exe 即可

注意:此程序没有经过长时间测试,可能有bug,使用前源文件做好备份,
Python发布exe文件较大,故未上传,有需要可以发邮件给我liuxingyyue@qq.com