本文目录导读：
生成默认配置文件
import subprocess import os # 生成Jupyter Notebook默认配置 subprocess.run(['jupyter', 'notebook', '--generate-config']) # 生成Jupyter Lab默认配置 subprocess.run(['jupyter', 'lab', '--generate-config'])
自定义配置文件生成
import json
import os
def generate_jupyter_config(config_path=None):
"""生成自定义Jupyter配置"""
# 默认配置路径
if config_path is None:
config_path = os.path.expanduser('~/.jupyter/jupyter_notebook_config.py')
# 配置内容
config_content = """
# Jupyter Notebook配置
# 允许远程访问
c.NotebookApp.allow_remote_access = True
# 设置IP地址
c.NotebookApp.ip = '0.0.0.0'
# 设置端口
c.NotebookApp.port = 8888
# 不自动打开浏览器
c.NotebookApp.open_browser = False
# 设置密码（需要先使用jupyter notebook password生成）
# c.NotebookApp.password = 'sha1:...'
# 设置工作目录
# c.NotebookApp.notebook_dir = '/path/to/notebooks'
# Token设置
# c.NotebookApp.token = 'your-token-here'
# 设置根目录
# c.ServerApp.root_dir = '/path/to/notebooks'
# 禁用token
# c.NotebookApp.token = ''
# 设置语言
# c.NotebookApp.default_url = '/tree'
"""
# 确保目录存在
os.makedirs(os.path.dirname(config_path), exist_ok=True)
# 写入配置
with open(config_path, 'w', encoding='utf-8') as f:
f.write(config_content)
print(f"配置文件已生成: {config_path}")
return config_path
# 使用函数
config_file = generate_jupyter_config()
JSON格式配置（Jupyter Lab）
import json
import os
def generate_jupyter_lab_config():
"""生成Jupyter Lab的JSON配置"""
config_dir = os.path.expanduser('~/.jupyter/lab/user-settings/@jupyterlab')
os.makedirs(config_dir, exist_ok=True)
# 编辑器配置
editor_config = {
"editorConfig": {
"cursorBlinkRate": 530,
"fontFamily": "Consolas, 'Courier New', monospace",
"fontSize": 14,
"lineHeight": 1.6,
"lineNumbers": True,
"lineWrap": "off",
"matchBrackets": True,
"tabSize": 4,
"autoClosingBrackets": True,
"codeFolding": True
}
}
# 主题配置
theme_config = {
"theme": "JupyterLab Light"
}
# 保存配置
config_files = {
'notebook-extension-1/editor_config.json': editor_config,
'theme-extension-1/theme_config.json': theme_config
}
for filename, config in config_files.items():
filepath = os.path.join(config_dir, filename)
os.makedirs(os.path.dirname(filepath), exist_ok=True)
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(config, f, indent=2, ensure_ascii=False)
print(f"配置已生成: {filepath}")
# 生成配置
generate_jupyter_lab_config()
交互式配置文件生成器
import os
import json
import getpass
def interactive_jupyter_config_generator():
"""交互式Jupyter配置生成器"""
print("=" * 50)
print("Jupyter Notebook配置生成器")
print("=" * 50)
# 收集配置信息
config = {}
# IP地址
ip = input("请输入绑定的IP地址 (默认: localhost): ").strip()
config['c.NotebookApp.ip'] = ip if ip else "'localhost'"
# 端口
port = input("请输入端口号 (默认: 8888): ").strip()
config['c.NotebookApp.port'] = int(port) if port else 8888
# 是否自动打开浏览器
open_browser = input("是否自动打开浏览器? (y/n, 默认: y): ").strip().lower()
config['c.NotebookApp.open_browser'] = open_browser != 'n'
# 工作目录
work_dir = input("请输入工作目录路径 (默认: 当前目录): ").strip()
if work_dir:
config['c.NotebookApp.notebook_dir'] = f"'{work_dir}'"
# 是否设置密码
set_password = input("是否设置密码? (y/n, 默认: n): ").strip().lower()
if set_password == 'y':
print("请使用 'jupyter notebook password' 命令设置密码")
print("然后将生成的hash值配置到文件中")
# 生成配置内容
config_content = "# Jupyter Notebook Configuration\n"
config_content += f"# Generated by script at {__import__('datetime').datetime.now()}\n\n"
for key, value in config.items():
if isinstance(value, str) and not value.startswith("'"):
config_content += f"{key} = '{value}'\n"
else:
config_content += f"{key} = {value}\n"
# 保存配置
config_path = os.path.expanduser('~/.jupyter/jupyter_notebook_config.py')
os.makedirs(os.path.dirname(config_path), exist_ok=True)
with open(config_path, 'w', encoding='utf-8') as f:
f.write(config_content)
print(f"\n配置文件已保存到: {config_path}")
print("配置内容:")
print(config_content)
# 运行交互式配置生成器
interactive_jupyter_config_generator()
程序化配置管理
import os
import configparser
from pathlib import Path
class JupyterConfigManager:
"""Jupyter配置管理器"""
def __init__(self):
self.config_dir = Path.home() / '.jupyter'
self.config_file = self.config_dir / 'jupyter_notebook_config.py'
def get_config_path(self):
"""获取配置文件路径"""
return str(self.config_file)
def config_exists(self):
"""检查配置是否存在"""
return self.config_file.exists()
def read_config(self):
"""读取配置文件"""
if not self.config_exists():
return None
with open(self.config_file, 'r', encoding='utf-8') as f:
return f.read()
def write_config(self, content):
"""写入配置"""
self.config_dir.mkdir(parents=True, exist_ok=True)
with open(self.config_file, 'w', encoding='utf-8') as f:
f.write(content)
print(f"配置已写入: {self.config_file}")
def update_config(self, key, value):
"""更新单个配置项"""
config_content = self.read_config() or ""
# 检查配置项是否已存在
if f"{key}" in config_content:
# 更新现有配置
lines = config_content.split('\n')
for i, line in enumerate(lines):
if line.strip().startswith(key):
lines[i] = f"{key} = {value}"
break
config_content = '\n'.join(lines)
else:
# 添加新配置
config_content += f"\n{key} = {value}\n"
self.write_config(config_content)
def reset_to_default(self):
"""重置为默认配置"""
subprocess.run(['jupyter', 'notebook', '--generate-config', '--force'])
# 使用示例
manager = JupyterConfigManager()
print(f"配置文件路径: {manager.get_config_path()}")
# 更新配置
manager.update_config('c.NotebookApp.ip', "'0.0.0.0'")
manager.update_config('c.NotebookApp.port', '8888')
使用方法
- 基本使用：运行脚本生成默认配置
- 自定义配置：修改脚本中的配置参数
- 批量部署：将脚本用于多台机器的配置
- 版本控制：将配置脚本纳入版本管理
注意事项
- 确保有适当的文件写入权限
- 密码配置建议使用
jupyter notebook password命令 - 生产环境配置需要更严格的安全设置
- 配置修改后需要重启Jupyter服务
这些脚本可以帮助你快速生成和管理Jupyter配置。
