add deepflow_agent role
This commit is contained in:
Haitao Pan
parent
76e7366109
commit
977b0b6263
7
playbooks/deploy_deepflow_agent
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7
playbooks/deploy_deepflow_agent
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@ -0,0 +1,7 @@
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---
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- name: Deploy or Upgrade DeepFlow Agent
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hosts: all
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become: true
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roles:
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- role: roles/vhosts/deepflow_agent
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22
playbooks/inventory.ini
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22
playbooks/inventory.ini
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@ -0,0 +1,22 @@
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[deepflow_agents]
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192.168.1.101 ansible_user=root ansible_ssh_pass=pass101
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192.168.1.102 ansible_user=admin ansible_ssh_pass=pass102
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192.168.1.103 ansible_user=root ansible_ssh_pass=pass103 ansible_port=2222
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192.168.1.104 ansible_user=ubuntu ansible_ssh_private_key_file=~/.ssh/id_rsa_ubuntu
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[all:vars]
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ansible_port=22
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ansible_user=root
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ansible_host_key_checking=False
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# SSH 密钥或密码（二选一）
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# ansible_ssh_private_key_file=~/.ssh/id_rsa
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# ansible_ssh_pass=your_password
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# DeepFlow agent 配置变量
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controller_ips=["10.10.10.10", "10.10.10.11"]
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vtap_group_id="g-P22vLIMdB6"
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# DeepFlow agent 安装包位置
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agent_base_dir="deepflow-agent-for-linux"
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agent_package_name="deepflow-agent-1.0-5407.systemd.x86_64.rpm"
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49
playbooks/roles/vhosts/deepflow_agent/tasks/main.yml
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49
playbooks/roles/vhosts/deepflow_agent/tasks/main.yml
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@ -0,0 +1,49 @@
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- name: Copy agent package to /tmp on target
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copy:
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src: "{{ agent_base_dir }}/{{ agent_package_name }}"
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dest: "/tmp/{{ agent_package_name }}"
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mode: '0644'
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- name: Install agent package
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become: true
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shell: |
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case "{{ agent_package_name }}" in
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*.rpm)
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rpm -Uvh --force /tmp/{{ agent_package_name }}
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;;
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*.deb)
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dpkg -i /tmp/{{ agent_package_name }}
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;;
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*)
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echo "Unsupported package format"
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exit 1
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;;
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esac
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args:
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executable: /bin/bash
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- name: Render config to /tmp
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template:
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src: deepflow-agent.yaml.j2
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dest: "/tmp/deepflow-agent.yaml"
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mode: '0644'
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- name: Move config to /etc
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become: true
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command: mv /tmp/deepflow-agent.yaml /etc/deepflow-agent.yaml
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- name: Restart deepflow-agent service
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become: true
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systemd:
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name: deepflow-agent
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state: restarted
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enabled: true
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- name: Show service status
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shell: systemctl is-active deepflow-agent
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register: agent_status
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changed_when: false
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- name: Report Agent status
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debug:
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msg: "DeepFlow Agent status on {{ inventory_hostname }}: {{ agent_status.stdout }}"
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@ -0,0 +1,7 @@
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controller-ips:
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{% for ip in controller_ips %}
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- {{ ip }}
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{% endfor %}
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{% if vtap_group_id is defined %}
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vtap-group-id: "{{ vtap_group_id }}"
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{% endif %}
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266
scripts/deploy_deepflow_agent.sh
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266
scripts/deploy_deepflow_agent.sh
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@ -0,0 +1,266 @@
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#!/bin/bash
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set -e
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####################################
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# 🌐 配置区
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####################################
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IP_LIST="./ip.list"
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SERVICE_NAME="deepflow-agent"
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PKG_DIR="deepflow-agent-for-linux"
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MAX_PARALLEL=5
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CONTROLLER_IP=""
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VTAP_GROUP_ID=""
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LIMIT=""
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SSH_OPTS="-o StrictHostKeyChecking=no -o ConnectTimeout=15"
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FAILED_FILE="failed_hosts.txt"
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SUCCESS_FILE="success_hosts.txt"
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> "$FAILED_FILE"
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> "$SUCCESS_FILE"
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####################################
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# 参数解析
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####################################
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if [[ $# -eq 0 ]]; then
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echo "用法: $0 {deploy|upgrade|verify} --controller <ip> --group <id> [--limit ip1,ip2]"
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exit 1
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fi
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ACTION="$1"
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shift
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--controller)
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CONTROLLER_IP="$2"
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shift 2
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;;
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--group)
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VTAP_GROUP_ID="$2"
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shift 2
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;;
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--limit)
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LIMIT="$2"
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shift 2
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;;
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*)
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echo "未知参数: $1"
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exit 1
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;;
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esac
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done
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if [[ "$ACTION" != "deploy" && "$ACTION" != "upgrade" && "$ACTION" != "verify" ]]; then
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echo "用法: $0 {deploy|upgrade|verify} --controller <ip> --group <id> [--limit ip1,ip2]"
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exit 1
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fi
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if [[ "$ACTION" != "verify" && ( -z "$CONTROLLER_IP" || -z "$VTAP_GROUP_ID" ) ]]; then
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echo "❗ deploy/upgrade 必须传入 --controller 和 --group 参数"
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exit 1
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fi
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####################################
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# 核心函数
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####################################
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worker() {
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local ip="$1"
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local user="$2"
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local pass="$3"
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echo "🔧 [$ACTION] 处理主机 $ip ($user)"
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if [[ "$ACTION" == "verify" ]]; then
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verify_agent "$ip" "$user" "$pass" && {
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echo "$ip" >> "$SUCCESS_FILE"
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return
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} || {
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echo "$ip" >> "$FAILED_FILE"
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return
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}
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fi
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remote_info=$(fetch_remote_info "$ip" "$user" "$pass") || {
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echo "❌ $ip 获取远程信息失败"
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echo "$ip" >> "$FAILED_FILE"
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return
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}
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arch=$(echo "$remote_info" | cut -d'|' -f1)
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init=$(echo "$remote_info" | cut -d'|' -f2)
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if [[ "$init" == "unknown" ]]; then
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echo "❌ $ip 不支持的初始化系统: $init"
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echo "$ip" >> "$FAILED_FILE"
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return
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fi
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pkg_path=$(choose_agent_package "$arch" "$init")
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if [[ "$pkg_path" == "UNSUPPORTED" ]]; then
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echo "❌ $ip 无匹配安装包: $arch/$init"
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echo "$ip" >> "$FAILED_FILE"
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return
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fi
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install_agent "$ip" "$user" "$pass" "$pkg_path" && update_config "$ip" "$user" "$pass" && {
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echo "✅ $ip $ACTION 完成"
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echo "$ip" >> "$SUCCESS_FILE"
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} || {
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echo "❌ $ip 安装或配置失败"
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echo "$ip" >> "$FAILED_FILE"
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}
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echo "-------------------------------------------"
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}
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fetch_remote_info() {
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local ip="$1" user="$2" pass="$3"
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sshpass -p "$pass" ssh $SSH_OPTS "$user@$ip" bash <<'EOF'
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arch=$(uname -m)
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case "$arch" in
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aarch64|arm64) arch="arm" ;;
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*) arch="x86" ;;
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esac
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if command -v systemctl >/dev/null; then init=systemd;
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elif command -v initctl >/dev/null; then init=upstart;
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else init=unknown; fi
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echo "${arch}|${init}"
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EOF
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}
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choose_agent_package() {
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local arch="$1" init="$2"
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shopt -s nullglob
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declare -a patterns
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if [[ "$arch" == "arm" ]]; then
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patterns=("$PKG_DIR"/deepflow-agent-*.$init-arm.* \
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"$PKG_DIR"/deepflow-agent-*.$init-arm64.* \
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"$PKG_DIR"/deepflow-agent-*.$init-aarch64.*)
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else
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patterns=("$PKG_DIR"/deepflow-agent-*.$init-x86.* \
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"$PKG_DIR"/deepflow-agent-*.$init.*)
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fi
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files=()
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for pattern in "${patterns[@]}"; do
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for file in $pattern; do
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files+=("$file")
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done
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done
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if [[ ${#files[@]} -gt 0 ]]; then
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latest=$(printf "%s\n" "${files[@]}" | sort -V | tail -1)
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echo "🎯 选择安装包: $latest" >&2
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echo "$latest"
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else
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echo "UNSUPPORTED"
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fi
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}
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install_agent() {
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local ip="$1" user="$2" pass="$3" pkg_path="$4"
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local remote_pkg="/tmp/agent.${pkg_path##*.}"
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sshpass -p "$pass" scp $SSH_OPTS "$pkg_path" "$user@$ip:$remote_pkg"
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sshpass -p "$pass" ssh $SSH_OPTS "$user@$ip" bash <<EOF
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set -e
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if command -v sudo >/dev/null; then SUDO="sudo"; else SUDO=""; fi
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if [[ "$remote_pkg" == *.rpm ]]; then
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\$SUDO rpm -Uvh --replacepkgs "$remote_pkg"
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elif [[ "$remote_pkg" == *.deb ]]; then
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\$SUDO dpkg -i "$remote_pkg" || \$SUDO apt-get install -f -y
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else
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echo "❌ 不支持的安装包格式"
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exit 1
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fi
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if command -v systemctl &>/dev/null; then
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\$SUDO systemctl enable $SERVICE_NAME
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\$SUDO systemctl restart $SERVICE_NAME
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elif command -v service &>/dev/null; then
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\$SUDO service $SERVICE_NAME restart
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\$SUDO chkconfig $SERVICE_NAME on
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elif command -v initctl &>/dev/null; then
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\$SUDO initctl restart $SERVICE_NAME || \$SUDO initctl start $SERVICE_NAME
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else
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echo "❌ 无法识别服务管理方式"
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fi
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EOF
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}
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update_config() {
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local ip="$1" user="$2" pass="$3"
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sshpass -p "$pass" ssh $SSH_OPTS "$user@$ip" bash <<EOF
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set -e
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if command -v sudo >/dev/null; then SUDO="sudo"; else SUDO=""; fi
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CONFIG_FILE="/etc/deepflow-agent.yaml"
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\$SUDO mkdir -p \$(dirname \$CONFIG_FILE)
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cat <<CFG | \$SUDO tee "\$CONFIG_FILE" >/dev/null
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controller-ips:
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- $CONTROLLER_IP
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vtap-group-id: "$VTAP_GROUP_ID"
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CFG
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\$SUDO chmod 644 "\$CONFIG_FILE"
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\$SUDO chown root:root "\$CONFIG_FILE"
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EOF
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}
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verify_agent() {
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local ip="$1" user="$2" pass="$3"
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echo "🔍 $ip 状态检查："
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sshpass -p "$pass" ssh $SSH_OPTS "$user@$ip" "
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systemctl is-active $SERVICE_NAME 2>/dev/null || \
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service $SERVICE_NAME status || \
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initctl status $SERVICE_NAME
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"
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}
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####################################
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# 并发控制主逻辑
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####################################
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sem(){
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while [[ $(jobs -r | wc -l) -ge $MAX_PARALLEL ]]; do
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sleep 0.5
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done
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}
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while read -r ip user pass; do
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if [[ -n "$LIMIT" ]]; then
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IFS=',' read -ra LIMIT_IPS <<< "$LIMIT"
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skip=true
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for lim_ip in "${LIMIT_IPS[@]}"; do
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[[ "$ip" == "$lim_ip" ]] && skip=false
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done
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$skip && continue
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fi
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sem
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worker "$ip" "$user" "$pass" &
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done < "$IP_LIST"
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wait
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TOTAL_SUCCESS=$(wc -l < "$SUCCESS_FILE")
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TOTAL_FAIL=$(wc -l < "$FAILED_FILE")
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echo "🎯 全部任务执行完成: 成功 $TOTAL_SUCCESS 台，失败 $TOTAL_FAIL 台"
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if [[ -s "$FAILED_FILE" ]]; then
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echo "❗ 失败主机列表已保存: $FAILED_FILE"
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fi
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199
scripts/install-single-gpu-k8s.sh
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199
scripts/install-single-gpu-k8s.sh
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@ -0,0 +1,199 @@
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#!/bin/bash
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set -euo pipefail
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# === 全局变量 ===
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MASTER_IP=$(hostname -I | awk '{print $1}')
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USER=${USER:-$(whoami)}
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SSH_KEY="${HOME}/.ssh/id_rsa"
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K8S_VERSION="labring/kubernetes:v1.25.16"
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CILIUM_VERSION="labring/cilium:v1.13.4"
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HELM_VERSION="labring/helm:v3.9.4"
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NVIDIA_DRIVER_VERSION="nvidia-driver-535"
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NVIDIA_PLUGIN_VERSION="v0.17.1"
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NERDCTL_VERSION="2.1.2"
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PROXY_ADDR="http://127.0.0.1:1081"
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USE_PROXY=${USE_PROXY:-false}
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# === 选项代理 ===
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configure_proxy() {
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if [ "$USE_PROXY" = true ]; then
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export http_proxy=$PROXY_ADDR
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export https_proxy=$PROXY_ADDR
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export HTTP_PROXY=$PROXY_ADDR
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export HTTPS_PROXY=$PROXY_ADDR
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echo "🌐 代理已启用: $PROXY_ADDR"
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else
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unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY
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echo "🌐 代理已关闭"
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fi
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}
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proxy_curl() {
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if [ "$USE_PROXY" = true ]; then
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curl --proxy "$PROXY_ADDR" "$@"
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else
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curl "$@"
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fi
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}
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install_base() {
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echo "[1/8] 安装基础依赖"
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sudo apt-get update -y
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sudo apt-get install -y curl gnupg2 ca-certificates lsb-release \
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apt-transport-https software-properties-common openssh-client \
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openssh-server uidmap
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}
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install_containerd() {
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echo "[2/8] 安装 containerd + nerdctl"
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sudo apt-get purge -y docker.io docker-ce docker-ce-cli containerd.io || true
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sudo apt-get install -y containerd
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tmpdir=$(mktemp -d)
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archive="nerdctl-full-${NERDCTL_VERSION}-linux-amd64.tar.gz"
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url="https://github.com/containerd/nerdctl/releases/download/v${NERDCTL_VERSION}/${archive}"
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echo "🔽 下载 nerdctl: $url"
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proxy_curl -fLo "${tmpdir}/${archive}" "$url"
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echo "📆 解压 nerdctl 到 /usr/local"
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sudo tar -xzf "${tmpdir}/${archive}" -C /usr/local
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sudo mkdir -p /etc/containerd
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sudo containerd config default | sudo tee /etc/containerd/config.toml > /dev/null
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sudo systemctl enable --now containerd
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nerdctl --version && echo "✅ nerdctl 安装成功" || echo "❌ nerdctl 安装失败"
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}
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install_nvidia() {
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echo "[3/8] 安装 NVIDIA 驱动和容器工具"
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distribution="ubuntu22.04"
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proxy_curl -sL https://nvidia.github.io/nvidia-docker/gpgkey | \
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sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
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proxy_curl -sL https://nvidia.github.io/nvidia-docker/${distribution}/nvidia-docker.list | \
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sed 's|^deb |deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] |' | \
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sudo tee /etc/apt/sources.list.d/nvidia-docker.list
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sudo apt-get update -y
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sudo apt-get install -y ${NVIDIA_DRIVER_VERSION} nvidia-container-toolkit
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sudo nvidia-ctk runtime configure --runtime=containerd --set-as-default
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sudo systemctl restart containerd
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if ! command -v nvidia-smi >/dev/null; then echo "❌ nvidia-smi 未找到"; exit 1; fi
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nvidia-smi || { echo "❌ NVIDIA 驱动有问题"; exit 1; }
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}
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install_sealos() {
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echo "[4/8] 安装 Sealos"
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if ! command -v sealos &>/dev/null; then
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proxy_curl -sfL https://raw.githubusercontent.com/labring/sealos/main/scripts/install.sh | bash
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fi
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}
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setup_ssh() {
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echo "[5/8] 配置 SSH 免密"
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[ ! -f "${SSH_KEY}" ] && ssh-keygen -f "${SSH_KEY}" -N ""
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cat "${SSH_KEY}.pub" >> ~/.ssh/authorized_keys
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chmod 600 ~/.ssh/authorized_keys && chmod 700 ~/.ssh
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sudo systemctl enable --now ssh || sudo systemctl enable --now sshd
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}
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deploy_k8s() {
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echo "[6/8] 使用 Sealos 部署 K8s"
|
||||
sealos run "${K8S_VERSION}" "${CILIUM_VERSION}" "${HELM_VERSION}" \
|
||||
--masters "${MASTER_IP}" --user "${USER}" --pk "${SSH_KEY}" \
|
||||
--env '{}' --cmd "kubeadm init --skip-phases=addon/kube-proxy"
|
||||
|
||||
echo "[6.1] 禁用 sealos containerd, 启用系统 containerd"
|
||||
sudo systemctl disable --now sealos-containerd || true
|
||||
sudo systemctl enable --now containerd
|
||||
sleep 3
|
||||
sudo systemctl status containerd --no-pager | grep Active
|
||||
}
|
||||
|
||||
deploy_plugin() {
|
||||
echo "[7/8] 部署 NVIDIA Device Plugin"
|
||||
plugin_url="https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/${NVIDIA_PLUGIN_VERSION}/deployments/static/nvidia-device-plugin.yml"
|
||||
if [ "$USE_PROXY" = true ]; then
|
||||
HTTPS_PROXY=$PROXY_ADDR HTTP_PROXY=$PROXY_ADDR \
|
||||
kubectl apply -f "$plugin_url"
|
||||
else
|
||||
kubectl apply -f "$plugin_url"
|
||||
fi
|
||||
sleep 15
|
||||
kubectl -n kube-system get pods | grep nvidia || echo "⚠️ 插件未启动"
|
||||
kubectl describe node | grep -A10 Capacity | grep -i nvidia
|
||||
}
|
||||
|
||||
run_test() {
|
||||
echo "[8/8] 运行 CUDA vectoradd GPU 测试"
|
||||
kubectl apply -f - <<EOF
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: gpu-pod
|
||||
spec:
|
||||
restartPolicy: Never
|
||||
containers:
|
||||
- name: cuda-test
|
||||
image: nvcr.io/nvidia/k8s/cuda-sample:vectoradd-cuda12.5.0
|
||||
resources: { limits: { "nvidia.com/gpu": 1 } }
|
||||
tolerations:
|
||||
- key: nvidia.com/gpu
|
||||
operator: Exists
|
||||
effect: NoSchedule
|
||||
EOF
|
||||
kubectl wait pod/gpu-pod --for=condition=Succeeded --timeout=120s || true
|
||||
kubectl logs gpu-pod || echo "⚠️ 未获取日志"
|
||||
}
|
||||
|
||||
show_help() {
|
||||
echo -e "用法: ./gpu-k8s.sh [阶段参数...]\n"
|
||||
echo "可用阶段:"
|
||||
echo " --install-base 安装基础依赖"
|
||||
echo " --install-containerd 安装 containerd + nerdctl"
|
||||
echo " --install-nvidia 安装 NVIDIA 驱动和工具"
|
||||
echo " --install-sealos 安装 Sealos"
|
||||
echo " --setup-ssh 配置 SSH 免密"
|
||||
echo " --deploy-k8s 使用 Sealos 部署 Kubernetes"
|
||||
echo " --deploy-plugin 部署 NVIDIA Device Plugin"
|
||||
echo " --run-test 运行 GPU 测试"
|
||||
echo " --all 全部步骤执行"
|
||||
echo -e "\n示例命令\t\t\t\t说明"
|
||||
echo "USE_PROXY=true ./gpu-k8s.sh --install-nvidia # 只安装 NVIDIA 工具包并走代理"
|
||||
echo "USE_PROXY=false ./gpu-k8s.sh --all # 全流程执行但不使用代理"
|
||||
echo "./gpu-k8s.sh --install-sealos --deploy-k8s # 默认关闭代理执行指定阶段"
|
||||
}
|
||||
|
||||
# === 执行 ===
|
||||
configure_proxy
|
||||
|
||||
if [ $# -eq 0 ]; then
|
||||
show_help
|
||||
exit 1
|
||||
fi
|
||||
|
||||
for arg in "$@"; do
|
||||
case "$arg" in
|
||||
--install-base) install_base ;;
|
||||
--install-containerd) install_containerd ;;
|
||||
--install-nvidia) install_nvidia ;;
|
||||
--install-sealos) install_sealos ;;
|
||||
--setup-ssh) setup_ssh ;;
|
||||
--deploy-k8s) deploy_k8s ;;
|
||||
--deploy-plugin) deploy_plugin ;;
|
||||
--run-test) run_test ;;
|
||||
--all)
|
||||
install_base
|
||||
install_containerd
|
||||
install_nvidia
|
||||
install_sealos
|
||||
setup_ssh
|
||||
deploy_k8s
|
||||
deploy_plugin
|
||||
run_test
|
||||
;;
|
||||
*) show_help; exit 1 ;;
|
||||
esac
|
||||
echo
|
||||
done
|
||||
Loading…
Reference in New Issue
Block a user