113 lines
2.2 KiB
Docker
113 lines
2.2 KiB
Docker
# 使用官方Node.js运行时作为基础镜像
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FROM node:18-alpine
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# 安装系统依赖和监控工具
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RUN apk add --no-cache \
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bash \
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procps \
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curl \
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&& npm install -g yarn nodemon
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# 设置工作目录
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WORKDIR /app
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# 复制package.json和yarn.lock（如果存在）
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COPY package.json yarn.lock* ./
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# 安装项目依赖
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RUN yarn install --frozen-lockfile
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# 复制项目文件
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COPY . .
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# 创建videos目录（如果不存在）
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RUN mkdir -p videos
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# 创建CPU监控和重启脚本
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RUN cat > /app/monitor.sh << 'EOF'
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#!/bin/bash
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# CPU阈值设置（百分比）
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CPU_THRESHOLD=80
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# 检查间隔（秒）
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CHECK_INTERVAL=30
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# 日志文件
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LOG_FILE="/app/monitor.log"
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log_message() {
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echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
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}
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get_cpu_usage() {
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# 获取Node.js进程的CPU使用率
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local pid=$(pgrep -f "node.*server.js" | head -1)
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if [ -n "$pid" ]; then
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ps -p $pid -o %cpu --no-headers | awk '{print int($1)}'
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else
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echo "0"
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fi
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}
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restart_app() {
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log_message "CPU使用率过高，重启应用..."
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pkill -f "node.*server.js"
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sleep 5
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cd /app
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yarn dev &
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log_message "应用已重启"
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}
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log_message "开始CPU监控，阈值: ${CPU_THRESHOLD}%"
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while true; do
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cpu_usage=$(get_cpu_usage)
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log_message "当前CPU使用率: ${cpu_usage}%"
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if [ "$cpu_usage" -gt "$CPU_THRESHOLD" ]; then
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log_message "警告: CPU使用率 ${cpu_usage}% 超过阈值 ${CPU_THRESHOLD}%"
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restart_app
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fi
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sleep $CHECK_INTERVAL
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done
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EOF
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# 给监控脚本执行权限
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RUN chmod +x /app/monitor.sh
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# 创建启动脚本
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RUN cat > /app/start.sh << 'EOF'
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#!/bin/bash
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# 启动应用
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echo "启动WebRTC应用..."
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cd /app
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yarn dev &
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# 等待应用启动
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sleep 10
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# 启动CPU监控
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echo "启动CPU监控..."
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/app/monitor.sh &
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# 保持容器运行
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wait
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EOF
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# 给启动脚本执行权限
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RUN chmod +x /app/start.sh
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# 暴露端口（默认3000，支持环境变量配置）
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EXPOSE 3000
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# 设置环境变量
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ENV NODE_ENV=production
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ENV PORT=3000
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD curl -f http://localhost:$PORT || exit 1
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# 启动应用和监控
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CMD ["/app/start.sh"] |