268 lines
8.2 KiB
Plaintext
268 lines
8.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 工具类\n",
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"## 生成随机数，用于图片文件名"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"G8hjNFEt.png\n"
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]
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}
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],
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"source": [
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"import random\n",
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"import string\n",
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"\n",
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"def generate_random_filename(extension=\"png\", length=8):\n",
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" characters = string.ascii_letters + string.digits\n",
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" random_string = ''.join(random.choices(characters, k=length))\n",
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" return f\"{random_string}.{extension}\"\n",
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"\n",
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"# 示例使用\n",
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"print(generate_random_filename())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 生成 argon2 密码"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hashed password: $argon2id$v=19$m=65536,t=3,p=4$lFZ6NGOPLXGAjO7u3B+6kw$wvkNArNX7DGsmqHANJ+ah1ggPm/F8tdKURSYx3vaDwg\n",
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"Password is valid: True\n"
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]
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}
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],
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"source": [
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"# 安装 argon2-cffi 库\n",
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"# 在终端中运行以下命令\n",
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"# pip install argon2-cffi\n",
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"\n",
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"from argon2 import PasswordHasher\n",
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"\n",
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"# 创建一个 PasswordHasher 实例\n",
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"ph = PasswordHasher()\n",
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"\n",
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"def hash_password(password):\n",
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" \"\"\"\n",
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" 使用 argon2 哈希密码\n",
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" :param password: 原始密码\n",
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" :return: 哈希后的密码\n",
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" \"\"\"\n",
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" return ph.hash(password)\n",
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"\n",
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"def verify_password(hashed_password, password):\n",
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" \"\"\"\n",
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" 验证密码是否匹配\n",
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" :param hashed_password: 哈希后的密码\n",
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" :param password: 原始密码\n",
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" :return: 是否匹配\n",
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" \"\"\"\n",
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" try:\n",
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" ph.verify(hashed_password, password)\n",
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" return True\n",
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" except:\n",
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" return False\n",
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"\n",
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"# 示例用法\n",
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"if __name__ == \"__main__\":\n",
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" original_password = \"my_secure_password\"\n",
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" hashed = hash_password(original_password)\n",
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" print(f\"Hashed password: {hashed}\")\n",
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"\n",
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" is_valid = verify_password(hashed, original_password)\n",
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" print(f\"Password is valid: {is_valid}\") "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 将Word文字提取为Txt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'docx'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[2], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdocx\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Document\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mextract_text_from_docx\u001b[39m(docx_path, txt_path):\n\u001b[0;32m 4\u001b[0m \u001b[38;5;66;03m# 打开Word文档\u001b[39;00m\n\u001b[0;32m 6\u001b[0m doc \u001b[38;5;241m=\u001b[39m Document(docx_path)\n",
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"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'docx'"
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]
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}
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],
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"source": [
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"from docx import Document\n",
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"\n",
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"def extract_text_from_docx(docx_path, txt_path):\n",
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" # 打开Word文档\n",
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" \n",
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" doc = Document(docx_path)\n",
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" \n",
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" # 提取所有段落的文字\n",
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" full_text = []\n",
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" for para in doc.paragraphs:\n",
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" full_text.append(para.text)\n",
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" \n",
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" # 将文字写入txt文件\n",
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" with open(txt_path, 'w', encoding='utf-8') as txt_file:\n",
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" txt_file.write('\\n'.join(full_text))\n",
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"\n",
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"# 示例用法\n",
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"docx_path = 'example.docx' # 替换为你的Word文档路径\n",
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"txt_path = 'output.txt' # 替换为你想要保存的txt文件路径\n",
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"extract_text_from_docx(docx_path, txt_path)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 将 Markdown 转为 Word"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: pypandoc in c:\\users\\wangq\\miniconda3\\envs\\local_p312\\lib\\site-packages (1.13)\n",
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"Note: you may need to restart the kernel to use updated packages.\n",
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"转换成功: C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.docx\n"
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]
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}
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],
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"source": [
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"%pip install pypandoc\n",
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"import pypandoc\n",
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"\n",
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"def convert_md_to_docx(md_file, output_file, css_file=None):\n",
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" extra_args = []\n",
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" if css_file:\n",
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" extra_args = ['--css', css_file]\n",
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" output = pypandoc.convert_file(md_file, 'docx', outputfile=output_file, extra_args=extra_args)\n",
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" assert output == \"\"\n",
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" print(f\"转换成功: {output_file}\")\n",
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"\n",
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"# 示例使用\n",
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"#convert_md_to_docx(r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.md', r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.docx')\n",
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"\n",
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"# 示例使用\n",
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"convert_md_to_docx(\n",
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" r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.md',\n",
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" r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.docx',\n",
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" r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\md2word.css'\n",
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")\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Markdown 转为 PDF"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"转换成功: C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.pdf\n"
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]
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}
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],
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"source": [
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"import pypandoc\n",
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"\n",
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"def convert_md_to_pdf(md_file, output_file):\n",
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" output = pypandoc.convert_file(md_file, 'pdf', outputfile=output_file, extra_args=['--pdf-engine=xelatex'])\n",
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" assert output == \"\"\n",
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" print(f\"转换成功: {output_file}\")\n",
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"\n",
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"# 示例使用\n",
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"convert_md_to_pdf(r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.md', r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Work\\生产管理系统\\数字化转型下的智慧电厂建设.pdf')\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## SVG 转为 PNG"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"import cairosvg\n",
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"\n",
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"def convert_svg_to_png(input_svg_path, output_png_path):\n",
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" cairosvg.svg2png(url=input_svg_path, write_to=output_png_path)\n",
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"\n",
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"# 示例调用\n",
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"convert_svg_to_png(r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Note\\Prompts\\汉语新解\\教师.svg', r'C:\\Users\\wangq\\OneDrive\\Wantsong.Life\\Note\\Prompts\\汉语新解\\教师.png')\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "local_p312",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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