完成H20服务器部署及重启测试 (#51)
当前部署情况 - h1: 部署server & client - h2: 部署client - 部署2025-11-25 - 部署目录： /home2/argus/server , /home2/argus/client - 部署使用账号：argus 网络拓扑： - h1 作为docker swarm manager - h2 作为worker加入docker swarm - docker swarm 上创建overlay network 访问方式： - 通过ssh到h1服务器，端口转发 20006-20011 端口到笔记本本地； - 门户网址：http://localhost:20006/dashboard 部署截图：    注意事项： - server各容器使用域名作为overlay network上alias别名，实现域名访问，当前版本禁用bind作为域名解析，原因是容器重启后IP变化场景bind机制复杂且不稳定。 - client 构建是内置安装包，容器启动时执行安装流程，后续重启容器跳过安装步骤。 - UID/GID：部署使用 argus账号 uid=2133, gid=2015。 Reviewed-on: #51 Reviewed-by: sundapeng <sundp@mail.zgclab.edu.cn> Reviewed-by: xuxt <xuxt@zgclab.edu.cn> Reviewed-by: huhy <husteryezi@163.com>
This commit was merged in pull request #51.
This commit is contained in:
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version: "3.8"
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networks:
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argus-sys-net:
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external: true
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services:
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metric-gpu-node:
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image: ${NODE_GPU_BUNDLE_IMAGE_TAG:-argus-sys-metric-test-node-bundle-gpu:${PKG_VERSION}}
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container_name: argus-metric-gpu-node-swarm
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hostname: ${GPU_NODE_HOSTNAME}
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restart: unless-stopped
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privileged: true
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runtime: nvidia
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environment:
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- TZ=Asia/Shanghai
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- DEBIAN_FRONTEND=noninteractive
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- MASTER_ENDPOINT=${MASTER_ENDPOINT:-http://master.argus.com:3000}
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# Fluent Bit / 日志上报目标（固定域名）
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- ES_HOST=es.log.argus.com
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- ES_PORT=9200
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- ARGUS_BUILD_UID=${ARGUS_BUILD_UID:-2133}
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- ARGUS_BUILD_GID=${ARGUS_BUILD_GID:-2015}
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- AGENT_ENV=${AGENT_ENV}
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- AGENT_USER=${AGENT_USER}
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- AGENT_INSTANCE=${AGENT_INSTANCE}
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- NVIDIA_VISIBLE_DEVICES=all
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- NVIDIA_DRIVER_CAPABILITIES=compute,utility
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- GPU_MODE=gpu
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networks:
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argus-sys-net:
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aliases:
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- ${AGENT_INSTANCE}.node.argus.com
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volumes:
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- ../private/argus/agent:/private/argus/agent
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- ../logs/infer:/logs/infer
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- ../logs/train:/logs/train
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command: ["sleep", "infinity"]
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# Argus Client‑GPU 安装指南（deployment_new）
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## 一、准备条件（开始前确认）
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- GPU 节点安装了 NVIDIA 驱动，`nvidia-smi` 正常；
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- Docker & Docker Compose v2 已安装；
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- 使用统一账户 `argus`（UID=2133，GID=2015）执行安装，并加入 `docker` 组（如已创建可跳过）：
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```bash
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sudo groupadd --gid 2015 argus || true
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sudo useradd --uid 2133 --gid 2015 --create-home --shell /bin/bash argus || true
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sudo passwd argus
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sudo usermod -aG docker argus
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su - argus -c 'id; docker ps >/dev/null && echo OK || echo NO_DOCKER_PERMISSION'
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```
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后续解压与执行（config/install/uninstall）均使用 `argus` 账户进行。
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- 从 Server 安装方拿到 `cluster-info.env`（包含 `SWARM_MANAGER_ADDR/SWARM_JOIN_TOKEN_*`；compose 架构下 BINDIP/FTPIP 不再使用）。
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## 二、解包
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- `tar -xzf client_gpu_YYYYMMDD.tar.gz`
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- 进入目录：`cd client_gpu_YYYYMMDD/`
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- 你应当看到：`images/`（GPU bundle、busybox）、`compose/`、`scripts/`、`docs/`。
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## 三、配置 config（预热 overlay + 生成 .env）
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命令：
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```
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cp /path/to/cluster-info.env ./ # 或 export CLUSTER_INFO=/abs/path/cluster-info.env
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./scripts/config.sh
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```
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脚本做了什么：
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- 读取 `cluster-info.env` 并 `docker swarm join`（幂等）；
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- 自动用 busybox 预热 external overlay `argus-sys-net`，等待最多 60s 直到本机可见；
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- 生成/更新 `compose/.env`：填入 `SWARM_*`，并“保留你已填写的 AGENT_* 与 GPU_NODE_HOSTNAME”（不会覆盖）。
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看到什么才算成功：
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- 终端输出类似：`已预热 overlay=argus-sys-net 并生成 compose/.env；可执行 scripts/install.sh`；
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- `compose/.env` 至少包含：
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- `AGENT_ENV/AGENT_USER/AGENT_INSTANCE/GPU_NODE_HOSTNAME`（需要你提前填写）；
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- `SWARM_MANAGER_ADDR/SWARM_JOIN_TOKEN_*`；
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- `NODE_GPU_BUNDLE_IMAGE_TAG=...:YYYYMMDD`。
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### 日志映射（重要）
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- 容器内 `/logs/infer` 与 `/logs/train` 已映射到包根 `./logs/infer` 与 `./logs/train`：
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- 你可以直接在宿主机查看推理/训练日志：`tail -f logs/infer/*.log`、`tail -f logs/train/*.log`；
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- install 脚本会自动创建这两个目录。
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若提示缺少必填项：
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- 打开 `compose/.env` 按提示补齐 `AGENT_*` 与 `GPU_NODE_HOSTNAME`，再次执行 `./scripts/config.sh`（脚本不会覆盖你已填的值）。
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## 四、安装 install（加载镜像 + 起容器 + 跟日志）
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命令：
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```
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./scripts/install.sh
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```
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脚本做了什么：
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- 如有必要，先自动预热 overlay；
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- 从 `images/` 导入 `argus-sys-metric-test-node-bundle-gpu-*.tar.gz` 到本地 Docker；
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- `docker compose up -d` 启动 GPU 节点容器，并自动执行 `docker logs -f argus-metric-gpu-node-swarm` 跟踪安装过程。
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看到什么才算成功：
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- 日志中出现：`[BOOT] local bundle install OK: version=...` / `dcgm-exporter ... listening` / `node state present: /private/argus/agent/<hostname>/node.json`；
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- `docker exec argus-metric-gpu-node-swarm nvidia-smi -L` 能列出 GPU；
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- 在 Server 侧 Prometheus `/api/v1/targets` 中，GPU 节点 9100（node-exporter）与 9400（dcgm-exporter）至少其一 up。
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## 五、卸载 uninstall
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命令：
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```
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./scripts/uninstall.sh
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```
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行为：Compose down（如有 .env），并删除 warmup 容器与节点容器。
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## 六、常见问题
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- `本机未看到 overlay`：config/install 已自动预热；若仍失败，请检查与 manager 的网络连通性以及 manager 上是否已创建 `argus-sys-net`。
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- `busybox 缺失`：确保包根 `images/busybox.tar` 在，或主机已有 `busybox:latest`。
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- `加入 Swarm 失败`：确认 `cluster-info.env` 的 `SWARM_MANAGER_ADDR` 与 `SWARM_JOIN_TOKEN_WORKER` 正确，或在 manager 上重新 `docker swarm join-token -q worker` 后更新该文件。
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BIN
deployment_new/templates/client_gpu/images/busybox.tar
Normal file
BIN
deployment_new/templates/client_gpu/images/busybox.tar
Normal file
Binary file not shown.
90
deployment_new/templates/client_gpu/scripts/config.sh
Normal file
90
deployment_new/templates/client_gpu/scripts/config.sh
Normal file
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#!/usr/bin/env bash
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set -euo pipefail
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ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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PKG_ROOT="$ROOT_DIR"
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ENV_EX="$PKG_ROOT/compose/.env.example"
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ENV_OUT="$PKG_ROOT/compose/.env"
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info(){ echo -e "\033[34m[CONFIG-GPU]\033[0m $*"; }
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err(){ echo -e "\033[31m[ERROR]\033[0m $*" >&2; }
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require(){ local ok=1; for c in "$@"; do command -v "$c" >/dev/null 2>&1 || { err "缺少依赖: $c"; ok=0; }; done; [[ $ok -eq 1 ]]; }
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# Compose 检测：优先 docker compose（v2），回退 docker-compose（v1）
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require_compose(){
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if docker compose version >/dev/null 2>&1; then return 0; fi
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if command -v docker-compose >/dev/null 2>&1 && docker-compose version >/dev/null 2>&1; then return 0; fi
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err "未检测到 Docker Compose，请安装 docker compose v2 或 docker-compose v1"; exit 1
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}
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require docker curl jq awk sed tar gzip
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require_compose
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# 磁盘空间检查（MB）
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check_disk(){ local p="$1"; local need=10240; local free
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free=$(df -Pm "$p" | awk 'NR==2{print $4+0}')
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if [[ -z "$free" || "$free" -lt "$need" ]]; then err "磁盘空间不足: $p 剩余 ${free:-0}MB (<${need}MB)"; return 1; fi
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}
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check_disk "$PKG_ROOT"; check_disk "/var/lib/docker" || true
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# 导入 cluster-info.env（默认取当前包根，也可用 CLUSTER_INFO 指定路径）
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CI_IN="${CLUSTER_INFO:-$PKG_ROOT/cluster-info.env}"
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info "读取 cluster-info.env: $CI_IN"
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[[ -f "$CI_IN" ]] || { err "找不到 cluster-info.env（默认当前包根，或设置环境变量 CLUSTER_INFO 指定绝对路径）"; exit 1; }
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set -a; source "$CI_IN"; set +a
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[[ -n "${SWARM_MANAGER_ADDR:-}" && -n "${SWARM_JOIN_TOKEN_WORKER:-}" ]] || { err "cluster-info.env 缺少 SWARM 信息（SWARM_MANAGER_ADDR/SWARM_JOIN_TOKEN_WORKER）"; exit 1; }
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# 加入 Swarm（幂等）
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info "加入 Swarm（幂等）：$SWARM_MANAGER_ADDR"
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docker swarm join --token "$SWARM_JOIN_TOKEN_WORKER" "$SWARM_MANAGER_ADDR":2377 >/dev/null 2>&1 || true
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# 导入 busybox 并做 overlay 预热与连通性（总是执行）
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NET_NAME="${ARGUS_OVERLAY_NET:-argus-sys-net}"
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# 准备 busybox
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if ! docker image inspect busybox:latest >/dev/null 2>&1; then
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if [[ -f "$PKG_ROOT/images/busybox.tar" ]]; then
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info "加载 busybox.tar 以预热 overlay"
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docker load -i "$PKG_ROOT/images/busybox.tar" >/dev/null
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else
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err "缺少 busybox 镜像（包内 images/busybox.tar 或本地 busybox:latest），无法预热 overlay $NET_NAME"; exit 1
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fi
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fi
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# 预热容器（worker 侧加入 overlay 以便本地可见）
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docker rm -f argus-net-warmup >/dev/null 2>&1 || true
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info "启动 warmup 容器加入 overlay: $NET_NAME"
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docker run -d --rm --name argus-net-warmup --network "$NET_NAME" busybox:latest sleep 600 >/dev/null 2>&1 || true
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for i in {1..60}; do docker network inspect "$NET_NAME" >/dev/null 2>&1 && { info "overlay 可见 (t=${i}s)"; break; }; sleep 1; done
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docker network inspect "$NET_NAME" >/dev/null 2>&1 || { err "预热后仍未看到 overlay: $NET_NAME；请确认 manager 已创建并网络可达"; exit 1; }
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# 通过 warmup 容器测试实际数据通路（alias → master）
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if ! docker exec argus-net-warmup sh -lc "ping -c 1 -W 2 master.argus.com >/dev/null 2>&1"; then
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err "warmup 容器内无法通过别名访问 master.argus.com；请确认 server compose 已启动并加入 overlay $NET_NAME"
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exit 1
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fi
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info "warmup 容器内可达 master.argus.com（Docker DNS + alias 正常）"
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# 生成/更新 .env（保留人工填写项，不覆盖已有键）
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if [[ ! -f "$ENV_OUT" ]]; then
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cp "$ENV_EX" "$ENV_OUT"
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fi
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set_kv(){ local k="$1" v="$2"; if grep -q "^${k}=" "$ENV_OUT"; then sed -i -E "s#^${k}=.*#${k}=${v}#" "$ENV_OUT"; else echo "${k}=${v}" >> "$ENV_OUT"; fi }
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set_kv SWARM_MANAGER_ADDR "${SWARM_MANAGER_ADDR:-}"
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set_kv SWARM_JOIN_TOKEN_WORKER "${SWARM_JOIN_TOKEN_WORKER:-}"
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set_kv SWARM_JOIN_TOKEN_MANAGER "${SWARM_JOIN_TOKEN_MANAGER:-}"
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REQ_VARS=(AGENT_ENV AGENT_USER AGENT_INSTANCE GPU_NODE_HOSTNAME)
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missing=()
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for v in "${REQ_VARS[@]}"; do
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val=$(grep -E "^$v=" "$ENV_OUT" | head -1 | cut -d= -f2-)
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if [[ -z "$val" ]]; then missing+=("$v"); fi
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done
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if [[ ${#missing[@]} -gt 0 ]]; then
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err "以下变量必须在 compose/.env 中填写：${missing[*]}（已保留你现有的内容，不会被覆盖）"; exit 1; fi
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info "已生成 compose/.env；可执行 scripts/install.sh"
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# 准备并赋权宿主日志目录（幂等，便于安装前人工检查/预创建）
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mkdir -p "$PKG_ROOT/logs/train" "$PKG_ROOT/logs/infer"
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chmod 1777 "$PKG_ROOT/logs/train" "$PKG_ROOT/logs/infer" || true
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info "日志目录权限（期待 1777，含粘滞位）:"
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stat -c '%a %U:%G %n' "$PKG_ROOT/logs/train" "$PKG_ROOT/logs/infer" 2>/dev/null || true
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72
deployment_new/templates/client_gpu/scripts/install.sh
Normal file
72
deployment_new/templates/client_gpu/scripts/install.sh
Normal file
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#!/usr/bin/env bash
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set -euo pipefail
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ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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PKG_ROOT="$ROOT_DIR"
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ENV_FILE="$PKG_ROOT/compose/.env"
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COMPOSE_FILE="$PKG_ROOT/compose/docker-compose.yml"
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info(){ echo -e "\033[34m[INSTALL-GPU]\033[0m $*"; }
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err(){ echo -e "\033[31m[ERROR]\033[0m $*" >&2; }
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require(){ local ok=1; for c in "$@"; do command -v "$c" >/dev/null 2>&1 || { err "缺少依赖: $c"; ok=0; }; done; [[ $ok -eq 1 ]]; }
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# Compose 检测：优先 docker compose（v2），回退 docker-compose（v1）
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require_compose(){
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if docker compose version >/dev/null 2>&1; then return 0; fi
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if command -v docker-compose >/dev/null 2>&1 && docker-compose version >/dev/null 2>&1; then return 0; fi
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err "未检测到 Docker Compose，请安装 docker compose v2 或 docker-compose v1"; exit 1
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}
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require docker nvidia-smi
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require_compose
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[[ -f "$ENV_FILE" ]] || { err "缺少 compose/.env，请先运行 scripts/config.sh"; exit 1; }
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info "使用环境文件: $ENV_FILE"
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# 预热 overlay（当 config 执行很久之前或容器已被清理时，warmup 可能不存在）
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set -a; source "$ENV_FILE"; set +a
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NET_NAME="${ARGUS_OVERLAY_NET:-argus-sys-net}"
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info "检查 overlay 网络可见性: $NET_NAME"
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if ! docker network inspect "$NET_NAME" >/dev/null 2>&1; then
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# 如 Overlay 不可见，尝试用 busybox 预热（仅为确保 worker 节点已加入 overlay）
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if ! docker image inspect busybox:latest >/dev/null 2>&1; then
|
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if [[ -f "$PKG_ROOT/images/busybox.tar" ]]; then docker load -i "$PKG_ROOT/images/busybox.tar"; else err "缺少 busybox 镜像（images/busybox.tar 或本地 busybox:latest）"; exit 1; fi
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fi
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docker rm -f argus-net-warmup >/dev/null 2>&1 || true
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docker run -d --rm --name argus-net-warmup --network "$NET_NAME" busybox:latest sleep 600 >/dev/null 2>&1 || true
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for i in {1..60}; do docker network inspect "$NET_NAME" >/dev/null 2>&1 && break; sleep 1; done
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docker network inspect "$NET_NAME" >/dev/null 2>&1 || { err "预热后仍未看到 overlay: $NET_NAME；请确认 manager 已创建并网络可达"; exit 1; }
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info "overlay 已可见（warmup=argus-net-warmup）"
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fi
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# 若本函数内重新创建了 warmup 容器，同样测试一次 alias 数据通路
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if docker ps --format '{{.Names}}' | grep -q '^argus-net-warmup$'; then
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if ! docker exec argus-net-warmup sh -lc "ping -c 1 -W 2 master.argus.com >/dev/null 2>&1"; then
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err "GPU install 阶段：warmup 容器内无法通过别名访问 master.argus.com；请检查 overlay $NET_NAME 与 server 状态"
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exit 1
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||||
fi
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info "GPU install 阶段：warmup 容器内可达 master.argus.com"
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fi
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||||
# 导入 GPU bundle 镜像
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IMG_TGZ=$(ls -1 "$PKG_ROOT"/images/argus-sys-metric-test-node-bundle-gpu-*.tar.gz 2>/dev/null | head -1 || true)
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[[ -n "$IMG_TGZ" ]] || { err "找不到 GPU bundle 镜像 tar.gz"; exit 1; }
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info "导入 GPU bundle 镜像: $(basename "$IMG_TGZ")"
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tmp=$(mktemp); gunzip -c "$IMG_TGZ" > "$tmp"; docker load -i "$tmp" >/dev/null; rm -f "$tmp"
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||||
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||||
# 确保日志目录存在（宿主侧，用于映射 /logs/infer 与 /logs/train），并赋权 1777（粘滞位）
|
||||
mkdir -p "$PKG_ROOT/logs/infer" "$PKG_ROOT/logs/train"
|
||||
chmod 1777 "$PKG_ROOT/logs/infer" "$PKG_ROOT/logs/train" || true
|
||||
info "日志目录已准备并赋权 1777: logs/infer logs/train"
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||||
stat -c '%a %U:%G %n' "$PKG_ROOT/logs/infer" "$PKG_ROOT/logs/train" 2>/dev/null || true
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||||
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||||
# 启动 compose 并跟踪日志
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||||
PROJECT="${COMPOSE_PROJECT_NAME:-argus-client}"
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info "启动 GPU 节点 (docker compose -p $PROJECT up -d)"
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||||
docker compose -p "$PROJECT" --env-file "$ENV_FILE" -f "$COMPOSE_FILE" up -d
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||||
docker compose -p "$PROJECT" --env-file "$ENV_FILE" -f "$COMPOSE_FILE" ps
|
||||
|
||||
# 再次校准宿主日志目录权限，避免容器内脚本对 bind mount 权限回退
|
||||
chmod 1777 "$PKG_ROOT/logs/infer" "$PKG_ROOT/logs/train" || true
|
||||
stat -c '%a %U:%G %n' "$PKG_ROOT/logs/infer" "$PKG_ROOT/logs/train" 2>/dev/null || true
|
||||
|
||||
info "跟踪节点容器日志（按 Ctrl+C 退出）"
|
||||
docker logs -f argus-metric-gpu-node-swarm || true
|
||||
36
deployment_new/templates/client_gpu/scripts/uninstall.sh
Normal file
36
deployment_new/templates/client_gpu/scripts/uninstall.sh
Normal file
@@ -0,0 +1,36 @@
|
||||
#!/usr/bin/env bash
|
||||
set -euo pipefail
|
||||
|
||||
ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
|
||||
PKG_ROOT="$ROOT_DIR"
|
||||
ENV_FILE="$PKG_ROOT/compose/.env"
|
||||
COMPOSE_FILE="$PKG_ROOT/compose/docker-compose.yml"
|
||||
|
||||
# load COMPOSE_PROJECT_NAME if provided in compose/.env
|
||||
if [[ -f "$ENV_FILE" ]]; then set -a; source "$ENV_FILE"; set +a; fi
|
||||
PROJECT="${COMPOSE_PROJECT_NAME:-argus-client}"
|
||||
|
||||
info(){ echo -e "\033[34m[UNINSTALL-GPU]\033[0m $*"; }
|
||||
err(){ echo -e "\033[31m[ERROR]\033[0m $*" >&2; }
|
||||
# Compose 检测：优先 docker compose（v2），回退 docker-compose（v1）
|
||||
require_compose(){
|
||||
if docker compose version >/dev/null 2>&1; then return 0; fi
|
||||
if command -v docker-compose >/dev/null 2>&1 && docker-compose version >/dev/null 2>&1; then return 0; fi
|
||||
err "未检测到 Docker Compose，请安装 docker compose v2 或 docker-compose v1"; exit 1
|
||||
}
|
||||
require_compose
|
||||
|
||||
if [[ -f "$ENV_FILE" ]]; then
|
||||
info "stopping compose project (project=$PROJECT)"
|
||||
docker compose -p "$PROJECT" --env-file "$ENV_FILE" -f "$COMPOSE_FILE" down --remove-orphans || true
|
||||
else
|
||||
info "compose/.env not found; attempting to remove container by name"
|
||||
fi
|
||||
|
||||
# remove warmup container if still running
|
||||
docker rm -f argus-net-warmup >/dev/null 2>&1 || true
|
||||
|
||||
# remove node container if present
|
||||
docker rm -f argus-metric-gpu-node-swarm >/dev/null 2>&1 || true
|
||||
|
||||
info "uninstall completed"
|
||||
Reference in New Issue
Block a user