本文主要是介绍python：xml.etree，用 xmltodict 转换为json数据，生成jstree所需的文件，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
请参阅：java : pdfbox 读取 PDF文件内书签 或者 python：从PDF中提取目录
请注意：书的目录.txt 编码：UTF-8，推荐用 Notepad++ 转换编码。
xml 是 python 标准库，在 D:\Python39\Lib\xml\etree
pip install xmltodict ;
python 用 xml.etree.ElementTree，用 xmltodict 转换为json数据，jinja2 生成jstree模板所需的文件。
编写 txt_xml_etree_json.py 如下
# -*- coding: utf-8 -*-
""" 读目录.txt文件，用 xmltodict转换为json数据，生成jstree所需的文件 """
import os
import sys
import codecs
import json
import xml.etree.ElementTree as et
import xmltodict
from jinja2 import Environment,FileSystemLoaderif len(sys.argv) ==2:f1 = sys.argv[1]
else:print('usage: python txt_xml_etree_json.py file1.txt')sys.exit(1)if not os.path.exists(f1):print(f"ERROR: {f1} not found.")sys.exit(1)fn,ext = os.path.splitext(f1)
if ext.lower() != '.txt':print('ext is not .txt')sys.exit(2)fp = codecs.open(f1, mode="r", encoding="utf-8")
# 读取第一行：书名
title = fp.readline()
# 创建主题节点
root = et.Element("node")
root.set("id", '1')
root.set("text", title.strip())# 定义状态：
state = et.SubElement(root, "state")
state.set("opened", 'true')
state.set("disabled", 'true')# 用缩排表现层级关系，假设最多5个层级
indent1 = ' '*2
indent2 = ' '*4
indent3 = ' '*6
indent4 = ' '*8n = 2
for line in fp:txt = line.strip()if len(txt) ==0:continuetxt = txt[0:-3] # 去掉行尾的页数if len(txt) >0 and line[0] !=' ':# 创建主题的子节点（1级节点）node1 = et.SubElement(root, "children")node1.set("id", str(n))node1.set("text", txt)p_node = node1 # 寄存父节点elif line.startswith(indent1) and line[2] !=' ':# 创建node1的子节点（2级节点）try: type(node1)except NameError: node2 = et.SubElement(root, "children")else: node2 = et.SubElement(node1, "children")node2.set("id", str(n))node2.set("text", txt)p_node = node2elif line.startswith(indent2) and line[4] !=' ':# 创建node2的子节点（3级节点）try: type(node2)except NameError: node3 = et.SubElement(node1, "children")else: node3 = et.SubElement(node2, "children")node3.set("id", str(n))node3.set("text", txt)p_node = node3elif line.startswith(indent3) and line[6] !=' ':# 创建node3的子节点（4级节点）try: type(node3)except NameError: node4 = et.SubElement(node2, "children")else: node4 = et.SubElement(node3, "children")node4.set("id", str(n))node4.set("text", txt)p_node = node4elif line.startswith(indent4) and line[8] !=' ':# 创建node4的子节点（5级节点）try: type(node4)except NameError: node5 = et.SubElement(p_node, "children")else: node5 = et.SubElement(node4, "children")node5.set("id", str(n))node5.set("text", txt)else:print(txt)n += 1
fp.close()
print(f"line number: {n}")# 转换成 str，方便导出
root_bytes = et.tostring(root, encoding="utf-8")
xml_str = root_bytes.decode()
try:json_dict = xmltodict.parse(xml_str, encoding='utf-8')json_str = json.dumps(json_dict['node'], indent=2)
except:print("xmltodict.parse error!")
# 去掉'@'
json_str = '['+ json_str.replace('\"@','"') +']'
#print(json_str)# 使用 jinja2 对html模板文件进行数据替换
env = Environment(loader=FileSystemLoader('d:/python/'))
tpl = env.get_template('jstree_template.htm')
# 导出.html文件
f2 = fn +'.htm'
with codecs.open(f2, 'w', encoding='utf8') as fp:content = tpl.render(title=title.strip(), mydir=json_str)fp.write(content)
https://gitee.com/ 搜索 jstree 下载
https://gitee.com/mirrors/jstree?_from=gitee_search
git clone https://gitee.com/mirrors/jstree.git
编写 jstree 模板文件：jstree_template.htm
<!DOCTYPE html>
<html lang="en">
<head><meta charset="UTF-8"><meta http-equiv="X-UA-Compatible" content="IE=Edge"><meta name="viewport" content="width=device-width, initial-scale=1"><title>{{title}}</title><script src="../js/jquery-3.2.1.min.js"></script><link rel="stylesheet" href="../js/jstree/dist/themes/default/style.css" /><script src="../js/jstree/dist/jstree.min.js"></script>
</head>
<body><!-- 搜索框 --><div class="search_input"><input type="text" id="search_a" /><img src="../js/jstree/dist/search.png" /></div><div id="treeview1" class="treeview"></div>
<script type="text/javascript">var mydir = {{mydir}};$("#treeview1").jstree({'core' : {"multiple" : false,'data' : mydir,'dblclick_toggle': true},"plugins" : ["search"]});//输入框输入时自动搜索var tout = false;$('#search_a').keyup(function(){if (tout) clearTimeout(tout); tout = setTimeout(function(){$('#treeview1').jstree(true).search($('#search_a').val()); }, 250);});
</script>
</body>
</html>
运行 python txt_xml_etree_json.py your_pdf_dir.txt
生成 your_pdf_dir.htm
这篇关于python：xml.etree，用 xmltodict 转换为json数据，生成jstree所需的文件的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
