zhouxiaoka--autoclip
wehub-resource-sync
592 行
16 KiB
Bash
可执行文件
592 行
16 KiB
Bash
可执行文件
#!/bin/bash
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# AutoClip 一键启动脚本
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# 版本: 2.0
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# 功能: 启动完整的AutoClip系统（后端API + Celery Worker + 前端界面）
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set -euo pipefail
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# =============================================================================
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# 配置区域
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# =============================================================================
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# 服务端口配置
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BACKEND_PORT=8000
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FRONTEND_PORT=3000
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REDIS_PORT=6379
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# 服务超时配置
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BACKEND_STARTUP_TIMEOUT=60
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FRONTEND_STARTUP_TIMEOUT=90
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HEALTH_CHECK_TIMEOUT=10
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# 日志配置
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LOG_DIR="logs"
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BACKEND_LOG="$LOG_DIR/backend.log"
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FRONTEND_LOG="$LOG_DIR/frontend.log"
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CELERY_LOG="$LOG_DIR/celery.log"
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# PID文件
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BACKEND_PID_FILE="backend.pid"
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FRONTEND_PID_FILE="frontend.pid"
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CELERY_PID_FILE="celery.pid"
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# =============================================================================
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# 颜色和样式定义
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# =============================================================================
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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PURPLE='\033[0;35m'
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CYAN='\033[0;36m'
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WHITE='\033[1;37m'
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NC='\033[0m' # No Color
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# 图标定义
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ICON_SUCCESS="✅"
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ICON_ERROR="❌"
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ICON_WARNING="⚠️"
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ICON_INFO="ℹ️"
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ICON_ROCKET="🚀"
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ICON_GEAR="⚙️"
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ICON_DATABASE="🗄️"
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ICON_WORKER="👷"
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ICON_WEB="🌐"
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ICON_HEALTH="💚"
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# =============================================================================
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# 工具函数
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# =============================================================================
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log_info() {
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echo -e "${BLUE}${ICON_INFO} $1${NC}"
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}
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log_success() {
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echo -e "${GREEN}${ICON_SUCCESS} $1${NC}"
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}
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log_warning() {
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echo -e "${YELLOW}${ICON_WARNING} $1${NC}"
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}
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log_error() {
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echo -e "${RED}${ICON_ERROR} $1${NC}"
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}
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log_header() {
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echo -e "\n${PURPLE}${ICON_ROCKET} $1${NC}"
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echo -e "${PURPLE}$(printf '=%.0s' {1..50})${NC}"
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}
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log_step() {
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echo -e "\n${CYAN}${ICON_GEAR} $1${NC}"
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}
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# 检查命令是否存在
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command_exists() {
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command -v "$1" >/dev/null 2>&1
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}
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# 检查端口是否被占用
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port_in_use() {
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lsof -i ":$1" >/dev/null 2>&1
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}
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# 等待服务启动
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wait_for_service() {
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local url="$1"
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local timeout="$2"
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local service_name="$3"
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log_info "等待 $service_name 启动..."
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for i in $(seq 1 "$timeout"); do
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if curl -fsS "$url" >/dev/null 2>&1; then
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log_success "$service_name 已启动"
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return 0
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fi
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sleep 1
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done
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log_error "$service_name 启动超时"
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return 1
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}
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# 检查进程是否运行
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process_running() {
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local pid_file="$1"
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if [[ -f "$pid_file" ]]; then
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local pid=$(cat "$pid_file")
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if kill -0 "$pid" 2>/dev/null; then
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return 0
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else
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rm -f "$pid_file"
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fi
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fi
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return 1
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}
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# 停止进程
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stop_process() {
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local pid_file="$1"
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local service_name="$2"
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if [[ -f "$pid_file" ]]; then
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local pid=$(cat "$pid_file")
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if kill -0 "$pid" 2>/dev/null; then
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log_info "停止 $service_name (PID: $pid)..."
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kill "$pid" 2>/dev/null || true
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sleep 2
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if kill -0 "$pid" 2>/dev/null; then
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log_warning "强制停止 $service_name..."
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kill -9 "$pid" 2>/dev/null || true
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fi
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fi
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rm -f "$pid_file"
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fi
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}
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# =============================================================================
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# 环境检查函数
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# =============================================================================
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check_environment() {
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log_header "环境检查"
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# 检查操作系统
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if [[ "$OSTYPE" == "darwin"* ]]; then
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log_success "检测到 macOS 系统"
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elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
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log_success "检测到 Linux 系统"
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else
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log_warning "未识别的操作系统: $OSTYPE"
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fi
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# 检查必要的命令（在Docker环境中跳过node检查）
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if [[ "${ENVIRONMENT:-}" != "production" ]] || [[ ! -f "/.dockerenv" ]]; then
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local required_commands=("python3" "node" "npm" "redis-cli")
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for cmd in "${required_commands[@]}"; do
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if command_exists "$cmd"; then
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log_success "$cmd 已安装"
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else
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log_error "$cmd 未安装，请先安装"
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exit 1
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fi
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done
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else
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log_info "Docker环境检测到，跳过node环境检查"
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local required_commands=("python3" "redis-cli")
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for cmd in "${required_commands[@]}"; do
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if command_exists "$cmd"; then
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log_success "$cmd 已安装"
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else
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log_error "$cmd 未安装，请先安装"
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exit 1
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fi
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done
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fi
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# 检查Python版本
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local python_version=$(python3 --version 2>&1 | cut -d' ' -f2)
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log_info "Python 版本: $python_version"
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# 检查Node.js版本
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local node_version=$(node --version)
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log_info "Node.js 版本: $node_version"
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# 检查虚拟环境
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if [[ ! -d "venv" ]]; then
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log_error "虚拟环境不存在，请先创建: python3 -m venv venv"
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exit 1
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fi
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log_success "虚拟环境存在"
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# 检查项目结构
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local required_dirs=("backend" "frontend" "data")
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for dir in "${required_dirs[@]}"; do
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if [[ -d "$dir" ]]; then
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log_success "目录 $dir 存在"
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else
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log_error "目录 $dir 不存在"
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exit 1
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fi
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done
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}
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# =============================================================================
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# 服务启动函数
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# =============================================================================
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start_redis() {
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log_step "启动 Redis 服务"
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if redis-cli ping >/dev/null 2>&1; then
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log_success "Redis 服务已运行"
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return 0
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fi
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log_info "启动 Redis 服务..."
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if [[ "$OSTYPE" == "darwin"* ]]; then
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if command_exists brew; then
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brew services start redis
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sleep 3
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else
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log_error "请手动启动 Redis 服务"
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exit 1
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fi
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else
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systemctl start redis-server 2>/dev/null || service redis-server start 2>/dev/null || {
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log_error "无法启动 Redis 服务，请手动启动"
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exit 1
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}
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fi
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if redis-cli ping >/dev/null 2>&1; then
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log_success "Redis 服务启动成功"
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else
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log_error "Redis 服务启动失败"
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exit 1
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fi
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}
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setup_environment() {
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log_step "设置环境"
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# 创建日志目录
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mkdir -p "$LOG_DIR"
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# 激活虚拟环境
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log_info "激活虚拟环境..."
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source venv/bin/activate
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# 设置Python路径
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: "${PYTHONPATH:=}"
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export PYTHONPATH="${PWD}:${PYTHONPATH}"
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log_info "设置 Python 路径: $PYTHONPATH"
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# 加载环境变量
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if [[ -f ".env" ]]; then
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log_info "加载环境变量..."
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set -a
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source .env
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set +a
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log_success "环境变量加载成功"
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else
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log_warning ".env 文件不存在，使用默认配置"
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# 创建默认环境变量文件
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if [[ ! -f ".env" ]]; then
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log_info "创建默认 .env 文件..."
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cp env.example .env 2>/dev/null || {
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cat > .env << EOF
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# AutoClip 环境配置
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DATABASE_URL=sqlite:///./data/autoclip.db
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REDIS_URL=redis://localhost:6379/0
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API_DASHSCOPE_API_KEY=
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API_MODEL_NAME=qwen-plus
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LOG_LEVEL=INFO
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ENVIRONMENT=development
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DEBUG=true
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EOF
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log_success "已创建默认 .env 文件"
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}
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fi
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fi
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# 检查Python依赖
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log_info "检查 Python 依赖..."
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if ! python -c "import fastapi, celery, sqlalchemy" 2>/dev/null; then
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log_warning "缺少依赖，正在安装..."
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pip install -r requirements.txt
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fi
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log_success "Python 依赖检查完成"
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}
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init_database() {
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log_step "初始化数据库"
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# 确保数据目录存在
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mkdir -p data
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# 初始化数据库
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log_info "创建数据库表..."
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if python -c "
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import sys
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sys.path.insert(0, '.')
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from backend.core.database import engine, Base
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from backend.models import project, task, clip, collection, bilibili
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try:
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Base.metadata.create_all(bind=engine)
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print('数据库表创建成功')
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except Exception as e:
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print(f'数据库初始化失败: {e}')
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sys.exit(1)
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" 2>/dev/null; then
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log_success "数据库初始化成功"
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else
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log_error "数据库初始化失败"
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exit 1
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fi
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}
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start_celery() {
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log_step "启动 Celery Worker"
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# 停止现有的Celery进程
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pkill -f "celery.*worker" 2>/dev/null || true
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sleep 2
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# 清理可能存在的重复Whisper进程
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log_info "检查并清理重复的Whisper进程..."
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python scripts/monitor_whisper.py --kill-duplicates 2>/dev/null || true
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log_info "启动 Celery Worker..."
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nohup celery -A backend.core.celery_app worker \
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--loglevel=info \
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--concurrency=1 \
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--prefetch-multiplier=1 \
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-Q processing,upload,notification,maintenance \
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--hostname=worker@%h \
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> "$CELERY_LOG" 2>&1 &
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local celery_pid=$!
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echo "$celery_pid" > "$CELERY_PID_FILE"
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# 等待Worker启动
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sleep 5
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if pgrep -f "celery.*worker" >/dev/null; then
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log_success "Celery Worker 已启动 (PID: $celery_pid)"
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else
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log_error "Celery Worker 启动失败"
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log_info "查看日志: tail -f $CELERY_LOG"
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exit 1
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fi
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}
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start_backend() {
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log_step "启动后端 API 服务"
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# 检查端口是否被占用
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if port_in_use "$BACKEND_PORT"; then
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log_warning "端口 $BACKEND_PORT 已被占用，尝试停止现有服务..."
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stop_process "$BACKEND_PID_FILE" "后端服务"
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fi
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log_info "启动后端服务 (端口: $BACKEND_PORT)..."
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nohup python -m uvicorn backend.main:app \
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--host 0.0.0.0 \
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--port "$BACKEND_PORT" \
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--reload \
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--reload-dir backend \
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--reload-include '*.py' \
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--reload-exclude 'data/*' \
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--reload-exclude 'logs/*' \
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--reload-exclude 'uploads/*' \
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--reload-exclude '*.log' \
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> "$BACKEND_LOG" 2>&1 &
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local backend_pid=$!
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echo "$backend_pid" > "$BACKEND_PID_FILE"
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# 等待后端启动
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if wait_for_service "http://localhost:$BACKEND_PORT/api/v1/health/" "$BACKEND_STARTUP_TIMEOUT" "后端服务"; then
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log_success "后端服务已启动 (PID: $backend_pid)"
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else
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log_error "后端服务启动失败"
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log_info "查看日志: tail -f $BACKEND_LOG"
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exit 1
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fi
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}
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start_frontend() {
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log_step "启动前端服务"
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# 检查端口是否被占用
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if port_in_use "$FRONTEND_PORT"; then
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log_warning "端口 $FRONTEND_PORT 已被占用，尝试停止现有服务..."
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stop_process "$FRONTEND_PID_FILE" "前端服务"
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fi
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# 进入前端目录
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cd frontend || {
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log_error "无法进入前端目录"
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exit 1
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}
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# 检查前端依赖
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if [[ ! -d "node_modules" ]]; then
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log_info "安装前端依赖..."
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npm install
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fi
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log_info "启动前端服务 (端口: $FRONTEND_PORT)..."
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nohup npm run dev -- --host 0.0.0.0 --port "$FRONTEND_PORT" \
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> "../$FRONTEND_LOG" 2>&1 &
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local frontend_pid=$!
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echo "$frontend_pid" > "../$FRONTEND_PID_FILE"
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# 返回项目根目录
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cd ..
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# 等待前端启动
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if wait_for_service "http://localhost:$FRONTEND_PORT/" "$FRONTEND_STARTUP_TIMEOUT" "前端服务"; then
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log_success "前端服务已启动 (PID: $frontend_pid)"
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else
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log_error "前端服务启动失败"
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log_info "查看日志: tail -f $FRONTEND_LOG"
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exit 1
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fi
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}
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# =============================================================================
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# 健康检查函数
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# =============================================================================
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health_check() {
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log_header "系统健康检查"
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local all_healthy=true
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# 检查后端
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log_info "检查后端服务..."
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if curl -fsS "http://localhost:$BACKEND_PORT/api/v1/health/" >/dev/null 2>&1; then
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log_success "后端服务健康"
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else
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log_error "后端服务不健康"
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all_healthy=false
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fi
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# 检查前端
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log_info "检查前端服务..."
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if curl -fsS "http://localhost:$FRONTEND_PORT/" >/dev/null 2>&1; then
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log_success "前端服务健康"
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else
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log_error "前端服务不健康"
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all_healthy=false
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fi
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# 检查Redis
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log_info "检查 Redis 服务..."
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if redis-cli ping >/dev/null 2>&1; then
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log_success "Redis 服务健康"
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else
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log_error "Redis 服务不健康"
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all_healthy=false
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fi
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# 检查Celery Worker
|
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log_info "检查 Celery Worker..."
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if pgrep -f "celery.*worker" >/dev/null; then
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log_success "Celery Worker 健康"
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else
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log_error "Celery Worker 不健康"
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all_healthy=false
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fi
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if [[ "$all_healthy" == true ]]; then
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log_success "所有服务健康检查通过"
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return 0
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else
|
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log_error "部分服务健康检查失败"
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return 1
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fi
|
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}
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# =============================================================================
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# 清理函数
|
||
# =============================================================================
|
||
|
||
cleanup() {
|
||
log_header "清理服务"
|
||
|
||
stop_process "$BACKEND_PID_FILE" "后端服务"
|
||
stop_process "$FRONTEND_PID_FILE" "前端服务"
|
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stop_process "$CELERY_PID_FILE" "Celery Worker"
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# 停止所有相关进程
|
||
pkill -f "celery.*worker" 2>/dev/null || true
|
||
pkill -f "uvicorn.*backend.main:app" 2>/dev/null || true
|
||
pkill -f "npm.*dev" 2>/dev/null || true
|
||
|
||
log_success "清理完成"
|
||
}
|
||
|
||
# =============================================================================
|
||
# 显示系统信息
|
||
# =============================================================================
|
||
|
||
show_system_info() {
|
||
log_header "系统启动完成"
|
||
|
||
echo -e "${WHITE}🎉 AutoClip 系统已成功启动！${NC}"
|
||
echo ""
|
||
echo -e "${CYAN}📊 服务状态:${NC}"
|
||
echo -e " ${ICON_WEB} 后端 API: http://localhost:$BACKEND_PORT"
|
||
echo -e " ${ICON_WEB} 前端界面: http://localhost:$FRONTEND_PORT"
|
||
echo -e " ${ICON_WEB} API 文档: http://localhost:$BACKEND_PORT/docs"
|
||
echo -e " ${ICON_HEALTH} 健康检查: http://localhost:$BACKEND_PORT/api/v1/health/"
|
||
echo ""
|
||
echo -e "${CYAN}📝 日志文件:${NC}"
|
||
echo -e " 后端日志: tail -f $BACKEND_LOG"
|
||
echo -e " 前端日志: tail -f $FRONTEND_LOG"
|
||
echo -e " Celery日志: tail -f $CELERY_LOG"
|
||
echo ""
|
||
echo -e "${CYAN}🛑 停止系统:${NC}"
|
||
echo -e " ./stop_autoclip.sh 或按 Ctrl+C"
|
||
echo ""
|
||
echo -e "${YELLOW}💡 使用说明:${NC}"
|
||
echo -e " 1. 访问 http://localhost:$FRONTEND_PORT 使用前端界面"
|
||
echo -e " 2. 上传视频文件或输入B站链接"
|
||
echo -e " 3. 系统将自动启动AI处理流水线"
|
||
echo -e " 4. 实时查看处理进度和结果"
|
||
echo ""
|
||
}
|
||
|
||
# =============================================================================
|
||
# 信号处理
|
||
# =============================================================================
|
||
|
||
trap cleanup EXIT INT TERM
|
||
|
||
# =============================================================================
|
||
# 主函数
|
||
# =============================================================================
|
||
|
||
main() {
|
||
log_header "AutoClip 系统启动器 v2.0"
|
||
|
||
# 环境检查
|
||
check_environment
|
||
|
||
# 启动服务
|
||
start_redis
|
||
setup_environment
|
||
init_database
|
||
start_celery
|
||
start_backend
|
||
start_frontend
|
||
|
||
# 健康检查
|
||
if health_check; then
|
||
show_system_info
|
||
|
||
# 保持脚本运行（不进行循环检查）
|
||
log_info "系统运行中... 按 Ctrl+C 停止"
|
||
log_info "如需检查系统状态，请运行: ./status_autoclip.sh"
|
||
while true; do
|
||
sleep 3600 # 每小时检查一次，减少频率
|
||
done
|
||
else
|
||
log_error "系统启动失败，请检查日志"
|
||
exit 1
|
||
fi
|
||
}
|
||
|
||
# 运行主函数
|
||
main "$@"
|