ocups-kafka/job_crawler/deploy.sh

#!/bin/bash
# 部署脚本

set -e

# 配置
IMAGE_NAME="job-crawler"
IMAGE_TAG="latest"
CONTAINER_NAME="job-crawler"
REGISTRY=""  # 私有仓库地址，如: registry.example.com

# 颜色输出
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m'

log_info() { echo -e "${GREEN}[INFO]${NC} $1"; }
log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
log_error() { echo -e "${RED}[ERROR]${NC} $1"; }

# 显示帮助
show_help() {
    echo "用法: ./deploy.sh [命令]"
    echo ""
    echo "命令:"
    echo "  build       构建镜像"
    echo "  push        推送镜像到仓库"
    echo "  up          启动所有服务 (docker-compose)"
    echo "  down        停止所有服务"
    echo "  restart     重启应用服务"
    echo "  logs        查看应用日志"
    echo "  logs-kafka  查看Kafka日志"
    echo "  status      查看服务状态"
    echo "  clean       清理无用镜像"
    echo "  reset       清理数据卷并重新启动（慎用）"
    echo "  help        显示帮助"
}

# 构建镜像
build() {
    log_info "构建镜像: ${IMAGE_NAME}:${IMAGE_TAG}"
    docker build --no-cache -t ${IMAGE_NAME}:${IMAGE_TAG} .
    log_info "构建完成"
}

# 推送镜像
push() {
    if [ -z "$REGISTRY" ]; then
        log_error "请先配置 REGISTRY 变量"
        exit 1
    fi
    FULL_IMAGE="${REGISTRY}/${IMAGE_NAME}:${IMAGE_TAG}"
    log_info "推送镜像: ${FULL_IMAGE}"
    docker tag ${IMAGE_NAME}:${IMAGE_TAG} ${FULL_IMAGE}
    docker push ${FULL_IMAGE}
    log_info "推送完成"
}

# 启动服务
up() {
    log_info "启动服务..."
    
    # 检查配置文件
    if [ ! -f "config/config.yml" ]; then
        log_warn "配置文件不存在，从模板复制"
        cp config/config.yml.docker config/config.yml
        log_warn "请编辑 config/config.yml 填入账号密码后重新运行"
        exit 1
    fi
    
    docker-compose up -d
    log_info "服务已启动"
    log_info "API地址: http://localhost:8000"
    log_info "API文档: http://localhost:8000/docs"
}

# 停止服务
down() {
    log_info "停止服务..."
    docker-compose down
    log_info "服务已停止"
}

# 重启应用
restart() {
    log_info "重启应用服务..."
    docker-compose restart app
    log_info "重启完成"
}

# 查看应用日志
logs() {
    docker-compose logs -f --tail=100 app
}

# 查看Kafka日志
logs_kafka() {
    docker-compose logs -f --tail=100 kafka
}

# 查看状态
status() {
    echo "=== 容器状态 ==="
    docker-compose ps
    echo ""
    echo "=== 采集状态 ==="
    curl -s http://localhost:8000/status 2>/dev/null | python -m json.tool || echo "服务未启动"
}

# 清理镜像
clean() {
    log_info "清理无用镜像..."
    docker image prune -f
    log_info "清理完成"
}

# 重置：清理数据卷并重新启动
reset() {
    log_warn "即将清理所有数据卷（Kafka数据、采集进度等），是否继续？[y/N]"
    read -r confirm
    if [ "$confirm" != "y" ] && [ "$confirm" != "Y" ]; then
        log_info "已取消"
        exit 0
    fi
    
    log_info "停止服务..."
    docker-compose down -v
    
    log_info "清理数据卷..."
    docker volume rm job_crawler_kafka_data job_crawler_zookeeper_data job_crawler_app_data 2>/dev/null || true
    docker build --no-cache -t job-crawler:latest .
    log_info "重新启动..."
    docker-compose up -d
    
    log_info "重置完成"
}

# 主逻辑
case "${1:-help}" in
    build)      build ;;
    push)       push ;;
    up)         up ;;
    down)       down ;;
    restart)    restart ;;
    logs)       logs ;;
    logs-kafka) logs_kafka ;;
    status)     status ;;
    clean)      clean ;;
    reset)      reset ;;
    help)       show_help ;;
    *)          show_help ;;
esac