一、系统环境准备
bash
# 更新系统
sudo apt update && sudo apt upgrade -y
sudo apt install -y git python3-pip python3-venv nginx ufw certbot
# 安装PostgreSQL数据库
sudo apt install -y postgresql postgresql-contrib
sudo -u postgres psql -c "CREATE DATABASE pandawiki;"
sudo -u postgres psql -c "CREATE USER wikiadmin WITH PASSWORD 'YourStrongPassword!';"
sudo -u postgres psql -c "GRANT ALL PRIVILEGES ON DATABASE pandawiki TO wikiadmin;"
# 创建应用目录
mkdir -p /opt/pandawiki && cd /opt/pandawiki
二、Pandawiki部署流程
1. 获取源代码
bash
git clone https://github.com/pandawiki/pandawiki.git
cd pandawiki
# 创建虚拟环境
python3 -m venv venv
source venv/bin/activate
2. 安装依赖
bash
pip install --upgrade pip
pip install -r requirements.txt
pip install gunicorn gevent psycopg2-binary
3. 配置应用
bash
# 创建配置文件
cp config.example.py config.py
nano config.py
python
# 关键配置修改
SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://wikiadmin:YourStrongPassword!@localhost/pandawiki'
SECRET_KEY = '生成32位密钥(openssl rand -hex 32)'
ALLOW_REGISTRATION = False # 生产环境禁用开放注册
UPLOAD_FOLDER = '/opt/pandawiki/uploads' # 上传目录
4. 初始化数据库
bash
flask db upgrade
flask init-data
# 创建上传目录
sudo mkdir -p /opt/pandawiki/uploads
sudo chown -R $USER:$USER /opt/pandawiki
5. 测试运行
bash
gunicorn --bind 0.0.0.0:8000 app:app
# 访问 http://<服务器IP>:8000 验证
三、生产环境部署
1. 创建系统服务
bash
sudo nano /etc/systemd/system/pandawiki.service
ini
[Unit]
Description=Pandawiki Gunicorn Service
After=network.target postgresql.service
[Service]
User=ubuntu
Group=www-data
WorkingDirectory=/opt/pandawiki/pandawiki
Environment="PATH=/opt/pandawiki/pandawiki/venv/bin"
ExecStart=/opt/pandawiki/pandawiki/venv/bin/gunicorn \
--worker-class gevent \
--workers 5 \
--bind unix:/run/pandawiki.sock \
--timeout 300 \
--log-level warning \
app:app
Restart=always
RestartSec=3
[Install]
WantedBy=multi-user.target
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如何将Ubuntu系统部署Pandawiki智能知识库？
摘要：一、系统环境准备 bash # 更新系统 sudo apt update &amp;&amp; sudo apt upgrade -y sudo apt install -y git python3-pip