feat: 新增 Docker 缓存清理独立脚本
- 新增 docker-cache-cleanup.sh：支持多种清理模式（默认/激进/保守/完全） - 自动检测运行环境：通过 curl ip.sb 获取公网 IP 匹配服务器列表 - 清理内容：dangling 镜像、测试镜像、构建缓存 - deploy-ai.sh 改为调用独立清理脚本 - 更新 README.md 和 deploy-ai-readme.md 文档 - sites-manage-local.sh 新增 gitea 站点支持（端口 6182）
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35
README.md
35
README.md
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@ -15,6 +15,7 @@
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| `deploy-monitor.sh` | 独立部署 monitor-ai 告警监控 | 云端 |
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| `edit-site-cc.sh` | www.tlyq.cc 官网内容管理 | 云端 |
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| `check-compliance.sh` | D1-D8 合规检查（LESSONS-LEARNED 自动化） | 本地 |
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| `docker-cache-cleanup.sh` | Docker 缓存清理（构建缓存、悬空镜像、测试镜像） | 本地/云端 |
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### 备份与恢复（`backup/` 目录）
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@ -101,6 +102,40 @@ bash scripts/backup/restore.sh --local --full ... # 本地灾难恢复（新服
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> 详细文档见 [backup/README.md](backup/README.md)
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## docker-cache-cleanup.sh — Docker 缓存清理
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自动检测运行环境：通过 `curl ip.sb` 获取当前公网 IP，与生产环境服务器 IP 列表匹配。
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- 在生产服务器上运行：直接执行 Docker 命令
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- 在本地运行：通过 SSH 连接服务器执行
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```bash
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bash scripts/docker-cache-cleanup.sh # 默认：保留 3 小时内的缓存
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bash scripts/docker-cache-cleanup.sh --aggressive # 激进：保留 1 小时内
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bash scripts/docker-cache-cleanup.sh --conservative # 保守：保留 6 小时内
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bash scripts/docker-cache-cleanup.sh --full # 完全：删除所有缓存
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```
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清理内容：
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- **dangling 镜像**：无标签或未被引用的中间层
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- **测试镜像**：以 `test-` 开头的镜像
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- **构建缓存**：根据模式保留不同时长
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- **磁盘紧张处理**：使用率 > 85% 时自动深度清理
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配置：在脚本开头的 `PRODUCTION_SERVER_IPS` 数组中添加/删除服务器 IP。
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```bash
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PRODUCTION_SERVER_IPS=(
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"43.133.38.210" # txjp (腾讯云北京)
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# "159.75.83.209" # tgz (腾讯云广州)
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)
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```
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定时清理（可选）：
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```bash
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# 每天凌晨 3 点执行保守清理
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ssh txjp "crontab -l 2>/dev/null; echo '0 3 * * * /root/docker/scripts/docker-cache-cleanup.sh --conservative' | crontab -"
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```
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## 备份存储路径
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| 位置 | 路径 |
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@ -43,7 +43,7 @@ bash scripts/deploy-ai.sh [选项]
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5. **依赖安装**：服务器 `npm install --prefer-offline`
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6. **环境变量**：写入生产环境所需的环境变量到 `.env`
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7. **构建**：服务器 `npm run build`
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8. **清理**：删除 Alpine musl 残留（sharp、swc）
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8. **清理**：删除 Alpine musl 残留（sharp、swc），清理 Docker 构建缓存（调用 `docker-cache-cleanup.sh`）
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9. **重启容器**：`docker compose up -d` + `docker compose restart`
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10. **快照保存**：保存本次源码 MD5 用于下次比对
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28
deploy-ai.sh
28
deploy-ai.sh
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@ -16,6 +16,11 @@
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# 不使用 set -e，改用显式错误处理，避免管道命令导致意外退出
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# ============================================================
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# 脚本目录
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# ============================================================
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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# ============================================================
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# 颜色和日志
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# ============================================================
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@ -684,28 +689,9 @@ EOF
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echo 'shared 符号链接已恢复'
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fi"
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# 7. 清理构建产生的悬空镜像和缓存（根据磁盘使用率动态调整）
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# 7. 清理构建产生的悬空镜像和缓存（调用独立清理脚本）
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log "清理构建缓存..."
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# 清理悬空镜像（无标签或未被引用的中间层）
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ssh txjp "docker image prune -f 2>/dev/null" || warn "docker image prune 失败"
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# 根据磁盘使用率动态调整构建缓存清理策略
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DISK_USAGE=$(ssh txjp "df / --output=pcent | tail -1 | tr -d ' %'" 2>/dev/null || echo "50")
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if [ "$DISK_USAGE" -gt 95 ]; then
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warn "磁盘使用率 ${DISK_USAGE}%，执行紧急清理"
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ssh txjp "docker builder prune -f 2>/dev/null || true"
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# 截断容器日志（占磁盘大户）
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ssh txjp "truncate -s 0 /var/lib/docker/containers/\$(docker inspect --format '{{.Id}}' ${CONTAINER} 2>/dev/null)/\*-json.log 2>/dev/null || true"
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elif [ "$DISK_USAGE" -gt 85 ]; then
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info "磁盘使用率 ${DISK_USAGE}%，执行激进清理（6小时）"
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ssh txjp "docker builder prune -f --filter 'until=6h' 2>/dev/null || true"
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elif [ "$DISK_USAGE" -gt 70 ]; then
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info "磁盘使用率 ${DISK_USAGE}%，执行正常清理（24小时）"
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ssh txjp "docker builder prune -f --filter 'until=24h' 2>/dev/null || true"
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else
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info "磁盘使用率 ${DISK_USAGE}%，执行保守清理（48小时）"
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ssh txjp "docker builder prune -f --filter 'until=48h' 2>/dev/null || true"
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fi
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bash "${SCRIPT_DIR}/docker-cache-cleanup.sh" --default
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# 8. 保存快照
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ssh txjp "mkdir -p ${SNAPSHOT_DIR} && echo '$local_md5' > ${SNAPSHOT_FILE}"
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@ -0,0 +1,200 @@
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#!/bin/bash
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# Docker 缓存清理脚本
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# 用法：
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# ./docker-cache-cleanup.sh # 默认清理（保留 3 小时内的缓存）
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# ./docker-cache-cleanup.sh --aggressive # 激进清理（保留 1 小时内）
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# ./docker-cache-cleanup.sh --conservative # 保守清理（保留 6 小时内）
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# ./docker-cache-cleanup.sh --full # 完全清理（删除所有缓存）
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set -euo pipefail
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# ============================================================
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# 配置
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# ============================================================
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REMOTE_HOST="${REMOTE_HOST:-txjp}"
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CLEANUP_MODE="${1:---default}"
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RETENTION_HOURS=3 # 默认保留 3 小时
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# 生产环境服务器 IP 列表（用于判断是否在服务器本地运行）
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# 新增服务器时，只需在此添加 IP 地址即可
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PRODUCTION_SERVER_IPS=(
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"43.133.38.210" # txjp (腾讯云北京)
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# "159.75.83.209" # tgz (腾讯云广州) - 如需添加
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# "10.0.0.1" # 其他服务器 - 如需添加
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)
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# 检测运行环境：
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# 通过 curl ip.sb 获取当前公网 IP，与生产环境服务器 IP 列表匹配
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IS_LOCAL=false
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# 获取当前公网 IP
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CURRENT_IP=$(curl -s --connect-timeout 5 ip.sb 2>/dev/null || echo "")
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if [ -n "$CURRENT_IP" ]; then
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# 遍历生产环境服务器 IP 列表，检查是否匹配
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for SERVER_IP in "${PRODUCTION_SERVER_IPS[@]}"; do
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if [ "$CURRENT_IP" = "$SERVER_IP" ]; then
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IS_LOCAL=true
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break
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fi
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done
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fi
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# 如果是本地运行，不需要 SSH
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if [ "$IS_LOCAL" = true ]; then
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REMOTE_HOST=""
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fi
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# 颜色
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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NC='\033[0m'
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# ============================================================
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# 日志函数
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# ============================================================
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log() { echo -e "${GREEN}[$(date '+%H:%M:%S')]${NC} $*"; }
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warn() { echo -e "${YELLOW}[$(date '+%H:%M:%S')] WARNING:${NC} $*"; }
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error() { echo -e "${RED}[$(date '+%H:%M:%S')] ERROR:${NC} $*" >&2; }
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# ============================================================
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# 清理模式设置
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# ============================================================
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case "$CLEANUP_MODE" in
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--aggressive)
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RETENTION_HOURS=1
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log "激进清理模式：保留 ${RETENTION_HOURS} 小时内的缓存"
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;;
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--conservative)
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RETENTION_HOURS=6
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log "保守清理模式：保留 ${RETENTION_HOURS} 小时内的缓存"
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;;
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--full)
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log "完全清理模式：删除所有缓存"
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RETENTION_HOURS=0
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;;
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*)
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log "默认清理模式：保留 ${RETENTION_HOURS} 小时内的缓存"
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;;
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esac
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# ============================================================
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# 辅助函数
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# ============================================================
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# 执行命令（根据是否本地决定是否使用 SSH）
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run_cmd() {
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if [ "$IS_LOCAL" = true ]; then
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eval "$@"
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else
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ssh "$REMOTE_HOST" "$@"
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fi
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}
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# 获取磁盘使用率
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get_disk_usage() {
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run_cmd "df / --output=pcent | tail -1 | tr -d ' %'" 2>/dev/null || echo "0"
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}
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# 获取构建缓存大小
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get_cache_size() {
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run_cmd "docker system df --format '{{.Size}}' 2>/dev/null | head -1" || echo "0"
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}
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# 获取镜像数量
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get_image_count() {
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run_cmd "docker images -q 2>/dev/null | wc -l" || echo "0"
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}
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# ============================================================
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# 清理函数
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# ============================================================
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# 清理 dangling 镜像（无标签或未被引用的中间层）
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cleanup_dangling_images() {
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log "清理 dangling 镜像..."
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run_cmd "docker image prune -f 2>/dev/null" || warn "docker image prune 失败"
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}
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# 清理测试镜像（以 test- 开头的镜像）
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cleanup_test_images() {
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log "清理测试镜像..."
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local test_images=$(run_cmd "docker images --format '{{.Repository}}:{{.Tag}}' | grep -E '^test-' 2>/dev/null" || true)
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if [ -n "$test_images" ]; then
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echo "$test_images" | while read -r img; do
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log " 删除: $img"
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done
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run_cmd "docker images --format '{{.Repository}}:{{.Tag}}' | grep -E '^test-' | xargs -r docker rmi -f 2>/dev/null" || true
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else
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log " 无测试镜像"
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fi
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}
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# 清理构建缓存
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cleanup_build_cache() {
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if [ "$RETENTION_HOURS" -eq 0 ]; then
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log "清理所有构建缓存..."
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run_cmd "docker builder prune -af 2>/dev/null" || warn "docker builder prune 失败"
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else
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log "清理 ${RETENTION_HOURS} 小时前的构建缓存..."
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run_cmd "docker builder prune -f --filter 'until=${RETENTION_HOURS}h' 2>/dev/null" || warn "docker builder prune 失败"
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fi
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}
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# 根据磁盘使用率决定是否需要深度清理
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cleanup_by_disk_usage() {
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local DISK_USAGE=$(get_disk_usage)
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log "当前磁盘使用率: ${DISK_USAGE}%"
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if [ "$DISK_USAGE" -gt 85 ]; then
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warn "磁盘使用率 ${DISK_USAGE}% > 85%，执行深度清理"
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# 清理所有构建缓存
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run_cmd "docker builder prune -af 2>/dev/null" || true
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# 清理容器日志
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log "截断容器日志..."
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run_cmd "truncate -s 0 /var/lib/docker/containers/\$(docker ps -q)/\*-json.log 2>/dev/null" || true
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elif [ "$DISK_USAGE" -gt 75 ]; then
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cleanup_build_cache
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else
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log "磁盘使用率正常，仅执行常规清理"
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cleanup_build_cache
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fi
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}
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# ============================================================
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# 打印清理结果
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# ============================================================
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print_result() {
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local DISK_AFTER=$(get_disk_usage)
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local CACHE_AFTER=$(get_cache_size)
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local IMAGE_AFTER=$(get_image_count)
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echo ""
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log "========== 清理完成 =========="
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log "磁盘使用率: ${DISK_AFTER}%"
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log "构建缓存大小: ${CACHE_AFTER}"
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log "镜像数量: ${IMAGE_AFTER}"
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}
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# ============================================================
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# 主函数
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# ============================================================
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main() {
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local DISK_BEFORE=$(get_disk_usage)
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local CACHE_BEFORE=$(get_cache_size)
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local IMAGE_BEFORE=$(get_image_count)
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echo ""
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log "========== Docker 缓存清理 =========="
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log "清理前 - 磁盘使用率: ${DISK_BEFORE}%, 缓存大小: ${CACHE_BEFORE}, 镜像数量: ${IMAGE_BEFORE}"
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echo ""
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# 执行清理
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cleanup_dangling_images
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cleanup_test_images
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cleanup_by_disk_usage
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# 打印结果
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print_result
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}
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# 执行主函数
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main "$@"
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@ -38,10 +38,9 @@ MONITOR_PORT=6181
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WWW_CC_PORT=5173
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CLOUD_CC_PORT=5174
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TOKEN_CC_PORT=5175
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GITEA_PORT=3000
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GITEA_PORT=6182
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is_port() { lsof -i :"$1" >/dev/null 2>&1; }
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is_running() { docker ps --format '{{.Names}}' 2>/dev/null | grep -q "^$1$"; }
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# 检查 Docker 服务是否运行
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check_docker() {
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@ -56,16 +55,21 @@ check_docker() {
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# ============================================================
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docker_start() {
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local name=$1 dir=$2
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if is_running $name; then
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if [ "$(cd "$dir" && docker compose ps -q --status running 2>/dev/null)" ]; then
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warn "$name 已在运行"
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else
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log "启动 $name..."
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cd "$dir" && docker compose up -d 2>/dev/null && log "$name 已启动" || err "$name 启动失败"
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cd "$dir" && docker compose up -d 2>/dev/null || { err "$name 启动失败"; return 1; }
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for i in $(seq 1 30); do
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[ "$(cd "$dir" && docker compose ps -q --status running 2>/dev/null)" ] && { log "$name 已启动"; return 0; }
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sleep 1
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done
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err "$name 启动异常（可能处于重启循环，请检查 docker compose logs）"
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fi
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}
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docker_stop() {
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local name=$1 dir=$2
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if is_running $name; then
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if [ "$(cd "$dir" && docker compose ps -q --status running --status restarting 2>/dev/null)" ]; then
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log "停止 $name..."
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cd "$dir" && docker compose down 2>/dev/null && log "$name 已停止" || err "$name 停止失败"
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else
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@ -102,28 +106,28 @@ node_stop() {
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start_all() {
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for name in "$@"; do
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case $name in
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www-cc) docker_start www-local "$BASE_DIR/www-cc" ;;
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cloud-cc) docker_start cloud-cc "$BASE_DIR/cloud-cc" ;;
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token-cc) docker_start token-cc "$BASE_DIR/token-cc" ;;
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www-ai) docker_start www-local-ai "$BASE_DIR/www-ai" ;;
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www-cc) docker_start www-cc "$BASE_DIR/cc-site/www-cc" ;;
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cloud-cc) docker_start cloud-cc "$BASE_DIR/cc-site/cloud-cc" ;;
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token-cc) docker_start token-cc "$BASE_DIR/cc-site/token-cc" ;;
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www-ai) docker_start www-ai "$BASE_DIR/www-ai" ;;
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cloud-ai) docker_start cloud-ai "$BASE_DIR/cloud-ai" ;;
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token-ai) docker_start token-ai "$BASE_DIR/token-ai" ;;
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issue) node_start issue-ai "$ISSUE_DIR" $ISSUE_PORT "/tmp/issue-ai-dev.log"
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issue) node_start issue "$ISSUE_DIR" $ISSUE_PORT "/tmp/issue-ai-dev.log"
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if ! is_port $ASSETS_PORT; then
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node_start assets-ai "$ASSETS_DIR" $ASSETS_PORT "/tmp/assets-ai-dev.log"
|
||||
node_start assets "$ASSETS_DIR" $ASSETS_PORT "/tmp/assets-ai-dev.log"
|
||||
warn "已自动启动 assets-ai（issue 依赖 assets API）"
|
||||
fi ;;
|
||||
assets) node_start assets-ai "$ASSETS_DIR" $ASSETS_PORT "/tmp/assets-ai-dev.log" ;;
|
||||
ldap) docker_start lldap "$LDAP_DIR"
|
||||
assets) node_start assets "$ASSETS_DIR" $ASSETS_PORT "/tmp/assets-ai-dev.log" ;;
|
||||
ldap) docker_start ldap "$LDAP_DIR"
|
||||
if is_port $LDAP_WEB_PORT; then
|
||||
log "LLDAP Web UI: http://127.0.0.1:$LDAP_WEB_PORT"
|
||||
fi ;;
|
||||
oa) node_start oa-ai "$OA_DIR" $OA_PORT "/tmp/oa-ai-dev.log" ;;
|
||||
sso) docker_start authelia "$SSO_DIR" ;;
|
||||
gitea) docker_start gitea-ai "$GITEA_DIR" ;;
|
||||
monitor) node_start monitor-ai "$MONITOR_DIR" $MONITOR_PORT "/tmp/monitor-ai-dev.log" ;;
|
||||
oa) node_start oa "$OA_DIR" $OA_PORT "/tmp/oa-ai-dev.log" ;;
|
||||
sso) docker_start sso "$SSO_DIR" ;;
|
||||
gitea) docker_start gitea "$GITEA_DIR" ;;
|
||||
monitor) node_start monitor "$MONITOR_DIR" $MONITOR_PORT "/tmp/monitor-ai-dev.log" ;;
|
||||
cc) start_all www-cc cloud-cc token-cc ;;
|
||||
ai) start_all ldap www-ai cloud-ai token-ai issue assets oa sso gitea monitor ;;
|
||||
ai) start_all www-ai cloud-ai token-ai issue assets ldap oa sso monitor gitea ;;
|
||||
all) start_all cc ai ;;
|
||||
*) err "未知站点: $name" ;;
|
||||
esac
|
||||
|
|
@ -133,21 +137,21 @@ start_all() {
|
|||
stop_all() {
|
||||
for name in "$@"; do
|
||||
case $name in
|
||||
www-cc) docker_stop www-local "$BASE_DIR/www-cc" ;;
|
||||
cloud-cc) docker_stop cloud-cc "$BASE_DIR/cloud-cc" ;;
|
||||
token-cc) docker_stop token-cc "$BASE_DIR/token-cc" ;;
|
||||
www-ai) docker_stop www-local-ai "$BASE_DIR/www-ai" ;;
|
||||
www-cc) docker_stop www-cc "$BASE_DIR/cc-site/www-cc" ;;
|
||||
cloud-cc) docker_stop cloud-cc "$BASE_DIR/cc-site/cloud-cc" ;;
|
||||
token-cc) docker_stop token-cc "$BASE_DIR/cc-site/token-cc" ;;
|
||||
www-ai) docker_stop www-ai "$BASE_DIR/www-ai" ;;
|
||||
cloud-ai) docker_stop cloud-ai "$BASE_DIR/cloud-ai" ;;
|
||||
token-ai) docker_stop token-ai "$BASE_DIR/token-ai" ;;
|
||||
issue) node_stop issue-ai $ISSUE_PORT ;;
|
||||
assets) node_stop assets-ai $ASSETS_PORT ;;
|
||||
ldap) docker_stop lldap "$LDAP_DIR" ;;
|
||||
oa) node_stop oa-ai $OA_PORT ;;
|
||||
sso) docker_stop authelia "$SSO_DIR" ;;
|
||||
gitea) docker_stop gitea-ai "$GITEA_DIR" ;;
|
||||
monitor) node_stop monitor-ai $MONITOR_PORT ;;
|
||||
issue) node_stop issue $ISSUE_PORT ;;
|
||||
assets) node_stop assets $ASSETS_PORT ;;
|
||||
ldap) docker_stop ldap "$LDAP_DIR" ;;
|
||||
oa) node_stop oa $OA_PORT ;;
|
||||
sso) docker_stop sso "$SSO_DIR" ;;
|
||||
gitea) docker_stop gitea "$GITEA_DIR" ;;
|
||||
monitor) node_stop monitor $MONITOR_PORT ;;
|
||||
cc) stop_all www-cc cloud-cc token-cc ;;
|
||||
ai) stop_all ldap www-ai cloud-ai token-ai issue assets oa sso gitea monitor ;;
|
||||
ai) stop_all www-ai cloud-ai token-ai issue assets ldap oa sso monitor gitea ;;
|
||||
all) stop_all cc ai ;;
|
||||
*) err "未知站点: $name" ;;
|
||||
esac
|
||||
|
|
@ -170,9 +174,9 @@ show_status() {
|
|||
local expanded=()
|
||||
for t in "${targets[@]}"; do
|
||||
case $t in
|
||||
all) eval "expanded=(www-cc cloud-cc token-cc ldap www-ai cloud-ai token-ai issue assets oa sso gitea monitor)" ;;
|
||||
all) eval "expanded=(www-cc cloud-cc token-cc www-ai cloud-ai token-ai issue assets ldap oa sso monitor gitea)" ;;
|
||||
cc) eval "expanded=(\${expanded[@]} www-cc cloud-cc token-cc)" ;;
|
||||
ai) eval "expanded=(\${expanded[@]} ldap www-ai cloud-ai token-ai issue assets oa sso gitea monitor)" ;;
|
||||
ai) eval "expanded=(\${expanded[@]} www-ai cloud-ai token-ai issue assets ldap oa sso monitor gitea)" ;;
|
||||
*) expanded+=($t) ;;
|
||||
esac
|
||||
done
|
||||
|
|
@ -203,17 +207,31 @@ show_status() {
|
|||
}
|
||||
|
||||
local running=0
|
||||
for name in "${expanded[@]}"; do
|
||||
local port=$(get_port $name)
|
||||
|
||||
# 按 cc/ai 分组输出
|
||||
_status_group() {
|
||||
local label=$1; shift
|
||||
local group=() gname n
|
||||
for gname in "$@"; do
|
||||
for n in "${expanded[@]}"; do
|
||||
[ "$n" = "$gname" ] && group+=("$n") && break
|
||||
done
|
||||
done
|
||||
[ ${#group[@]} -eq 0 ] && return
|
||||
printf " ${CYAN}%s站点:${NC}\n" "$label"
|
||||
for gname in "${group[@]}"; do
|
||||
local port=$(get_port $gname)
|
||||
if [ -n "$port" ] && is_port $port; then
|
||||
printf " ${GREEN}●${NC} %-12s 运行中 (port %d)\n" "$name" $port
|
||||
printf " ${GREEN}●${NC} %-12s 运行中 (port %d)\n" "$gname" $port
|
||||
running=$((running + 1))
|
||||
else
|
||||
printf " ${RED}●${NC} %-12s 未运行\n" "$name"
|
||||
printf " ${RED}●${NC} %-12s 未运行\n" "$gname"
|
||||
fi
|
||||
done
|
||||
echo ""
|
||||
|
||||
}
|
||||
_status_group "cc " www-cc cloud-cc token-cc
|
||||
_status_group "ai " www-ai cloud-ai token-ai issue assets ldap oa sso monitor gitea
|
||||
printf "${CYAN}=========================================${NC}\n"
|
||||
printf "${CYAN} 访问地址${NC}\n"
|
||||
printf "${CYAN}=========================================${NC}\n"
|
||||
|
|
@ -227,13 +245,13 @@ show_status() {
|
|||
echo " www-ai http://127.0.0.1:6173"
|
||||
echo " cloud-ai http://127.0.0.1:6174"
|
||||
echo " token-ai http://127.0.0.1:6175"
|
||||
echo " issue http://127.0.0.1:$ISSUE_PORT"
|
||||
echo " assets http://127.0.0.1:$ASSETS_PORT"
|
||||
echo " ldap http://127.0.0.1:$LDAP_WEB_PORT (LLDAP Web UI)"
|
||||
echo " oa http://127.0.0.1:$OA_PORT"
|
||||
echo " sso http://127.0.0.1:$SSO_PORT (Authelia OIDC)"
|
||||
echo " issue http://127.0.0.1:$ISSUE_PORT"
|
||||
echo " assets http://127.0.0.1:$ASSETS_PORT"
|
||||
echo " gitea http://127.0.0.1:$GITEA_PORT"
|
||||
echo " monitor http://127.0.0.1:$MONITOR_PORT"
|
||||
echo " gitea http://127.0.0.1:$GITEA_PORT"
|
||||
echo ""
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue