一.部署运行
1.虚拟环境的安装:(一行一行运行)
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p /opt/miniconda3
echo 'export PATH="/opt/miniconda3/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc
conda init bash
source ~/.bashrc
conda config --set auto_activate_base false
2. 系统依赖安装:(一行一行运行)
sudo yum update -y
sudo yum install -y epel-release
sudo yum install -y gcc gcc-c++ make
sudo yum install -y mariadb-server mariadb-devel nginx
sudo yum install -y git wget unzip
sudo yum install -y cairo-devel freetype-devel libpng-devel libjpeg-devel
3.项目环境安装:(灵活修改,以下参考)
mkdir -p /var/www/ershouche
cd /var/www/ershouche
conda create -n ershouche_env python=3.8 -y
conda activate ershouche_env
cat > requirements.txt << 'EOF'
# Web framework
flask>=2.0.1,<2.1.0
Werkzeug>=2.0.1,<2.1.0
Jinja2>=3.0.1,<3.1.0
itsdangerous>=2.0.1,<2.1.0
MarkupSafe>=2.0.1,<2.1.0
# Database
pymysql>=1.0.2
dbutils>=3.0.3
# Data processing and visualization
numpy>=1.20.0,<1.23.0
pandas>=1.3.0,<1.4.0
matplotlib>=3.4.0,<3.5.0
wordcloud>=1.8.1
statsmodels>=0.13.0,<0.14.0
# Web scraping
beautifulsoup4>=4.9.0
selenium>=3.141.0,<4.1.0
requests>=2.25.0,<2.27.0
lxml>=4.6.0
# Tools
python-dotenv>=0.19.0
pillow>=8.3.0
# WSGI server
gunicorn>=20.1.0
EOF
conda install -c conda-forge -y numpy pandas matplotlib pillow statsmodels lxml
pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
4.安装宝塔(上传文件,配置数据库等方便)
通用安装脚本:
if [ -f /usr/bin/curl ];then curl -sSO https://download.bt.cn/install/install_panel.sh;else wget -O install_panel.sh https://download.bt.cn/install/install_panel.sh;fi;bash install_panel.sh ed8484bec
上传文件略,数据库可以:
mysql -uroot -p
SELECT User, Host FROM mysql.user;
CREATE USER 'root'@'%' IDENTIFIED BY '123456';
GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' WITH GRANT OPTION;
FLUSH PRIVILEGES;
navicat连接搞定。
5.直接运行项目:
5.项目运行
conda activate ershouche_env
cd py脚本启动目录
python app.py
二.性能优化
方案:
软件:Supervisor、Nginx
python库:Gunicorn、Gevent
vim pro.sh
#!/bin/bash
# 启用调试模式
set -e
# 获取用户输入
read -p "请输入服务器IP地址: " SERVER_IP
read -p "请输入项目工作目录: " WORK_DIR
echo "请输入项目启动命令(以EOF结束):"
RUN_COMMAND=""
while IFS= read -r line; do
[[ $line == "EOF" ]] && break
RUN_COMMAND+="$line"$'\n'
done
# 提取工作目录的最后一个目录名
PROJECT_NAME=$(basename "$WORK_DIR")
# 安装必要的软件包
echo "安装必要的软件包..."
sudo yum install -y epel-release
sudo yum update -y
sudo yum install -y nginx supervisor
# 安装 Python 包
echo "安装 Python 包..."
pip install gunicorn gevent
# 配置 Gunicorn
echo "配置 Gunicorn..."
cat > $WORK_DIR/gunicorn_config.py << EOF
bind = "127.0.0.1:8000"
workers = 4
worker_class = "gevent"
worker_connections = 1000
timeout = 120
loglevel = "debug"
errorlog = "/var/log/$PROJECT_NAME/gunicorn_error.log"
accesslog = "/var/log/$PROJECT_NAME/gunicorn_access.log"
capture_output = True
EOF
# 创建日志目录
sudo mkdir -p /var/log/$PROJECT_NAME
sudo chown -R $(whoami):$(whoami) /var/log/$PROJECT_NAME
# 创建启动脚本
echo "创建启动脚本..."
cat > $WORK_DIR/start.sh << EOF
#!/bin/bash
cd $WORK_DIR
$RUN_COMMAND
EOF
chmod +x $WORK_DIR/start.sh
# 配置 Supervisor
echo "配置 Supervisor..."
sudo tee /etc/supervisord.d/$PROJECT_NAME.ini << EOF
[program:$PROJECT_NAME]
command=$WORK_DIR/start.sh
directory=$WORK_DIR
user=root
autostart=true
autorestart=true
startsecs=10
startretries=3
stopwaitsecs=10
killasgroup=true
stopasgroup=true
redirect_stderr=true
stdout_logfile=/var/log/$PROJECT_NAME/supervisor_stdout.log
stderr_logfile=/var/log/$PROJECT_NAME/supervisor_stderr.log
EOF
# 配置 Nginx
echo "配置 Nginx..."
sudo tee /etc/nginx/conf.d/$PROJECT_NAME.conf << EOF
server {
listen 80;
server_name $SERVER_IP;
access_log /var/log/nginx/$PROJECT_NAME_access.log;
error_log /var/log/nginx/$PROJECT_NAME_error.log;
location /static {
alias $WORK_DIR/static;
expires 30d;
}
location / {
proxy_pass http://127.0.0.1:8000;
proxy_set_header Host \$host;
proxy_set_header X-Real-IP \$remote_addr;
proxy_set_header X-Forwarded-For \$proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto \$scheme;
proxy_connect_timeout 60s;
proxy_read_timeout 60s;
proxy_send_timeout 60s;
}
}
EOF
# 启动服务
echo "启动服务..."
sudo systemctl restart supervisord
sudo systemctl enable supervisord
sudo systemctl restart nginx
sudo systemctl enable nginx
# 检查服务状态
echo "检查服务状态..."
sudo supervisorctl status $PROJECT_NAME
sudo systemctl status nginx
echo "部署完成!您可以通过 http://$SERVER_IP 访问您的应用。"
三. 其他操作
端口占用的处理:找到占用端口杀死它。
比如80:
sudo lsof -i :80
sudo kill <PID>
终止特定命令行启动的进程
ps aux | grep "python app.py"
pkill -f "python app.py"
注意事项
- 权限要求:操作系统资源(如低端口号)通常需
sudo
。- 精确终止:优先用
kill
+ PID(避免pkill
/fuser
误杀)。- 网络分析:
lsof -i
比netstat
更详细(支持显示远程 IP)。- 风险控制:
fuser -k
和pkill -f
可能影响其他进程,建议先确认匹配结果。