forked from yindun/ansible-devops
更新 scripts/deploy_gpu_monitor.sh
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#!/bin/bash
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# 功能：监控 GPU 温度、功率、使用率、数量及在线状态（固定8卡：0~7）
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# 路径：/usr/local/bin/gpu_monitor.sh
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METRICS_FILE="/var/lib/node_exporter/textfile_collector/gpu_metrics.prom"
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mkdir -p "$(dirname "${METRICS_FILE}")"
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# 脚本部署工具 - 下载并配置GPU监控脚本
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set -euo pipefail
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IFS=$'\n\t'
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# 预期的8张GPU编号
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EXPECTED_GPUS="0 1 2 3 4 5 6 7"
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# 配置信息
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SCRIPT_URL="http://116.205.97.109/scripts/gpu_metrics.sh" # 脚本下载地址
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TARGET_DIR="/opt/scripts" # 脚本存放目录
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TARGET_SCRIPT="${TARGET_DIR}/gpu_monitor.sh" # 目标脚本路径
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CRON_SCHEDULE="*/2 * * * *" # 定时任务执行频率
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LOG_FILE="/var/log/gpu_monitor.log" # 日志文件路径
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# 临时文件存储当前检测到的 GPU 编号和使用率
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TMP_GPU_IDS=$(mktemp)
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TMP_GPU_UTIL=$(mktemp)
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# 创建目标目录
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mkdir -p "${TARGET_DIR}"
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cd "${TARGET_DIR}"
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# 1. 收集所有在线 GPU 基础指标，并记录在线编号和使用率
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{
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echo "# HELP gpu_temperature GPU 核心温度 (℃)"
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echo "# TYPE gpu_temperature gauge"
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echo "# HELP gpu_power_limit GPU 额定功率（最大功率限制，W）"
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echo "# TYPE gpu_power_limit gauge"
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echo "# HELP gpu_power_current GPU 当前功率（实时功耗，W）"
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echo "# TYPE gpu_power_current gauge"
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echo "# HELP gpu_utilization GPU 计算核心使用率 (%)"
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echo "# TYPE gpu_utilization gauge"
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# 下载脚本
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echo "正在下载GPU监控脚本..."
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wget -q -O "${TARGET_SCRIPT}" "${SCRIPT_URL}" || {
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echo "错误: 无法从 ${SCRIPT_URL} 下载脚本" >&2
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exit 1
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}
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# GPU 在线状态（1=在线，0=离线）
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echo "# HELP gpu_online GPU 在线状态（1=在线，0=离线）"
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echo "# TYPE gpu_online gauge"
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# 赋予执行权限
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chmod +x "${TARGET_SCRIPT}"
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# 聚合指标：所有 GPU 的平均使用率
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echo "# HELP gpu_utilization_avg 所有 GPU 的平均使用率 (%)"
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echo "# TYPE gpu_utilization_avg gauge"
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# 聚合指标：所有 GPU 的总使用率 (%)
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echo "# HELP gpu_utilization_total 所有 GPU 的总使用率 (%)"
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echo "# TYPE gpu_utilization_total gauge"
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# 修改脚本内容（示例：将GPU总数设置为8）
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echo "正在修改脚本配置..."
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sed -i 's/BASELINE_GPUS=".*"/BASELINE_GPUS="0 1 2 3 4 5 6 7"/' "${TARGET_SCRIPT}"
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# 收集单块 GPU 指标
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total_util=0 # 初始化总使用率
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online_count=0 # 初始化在线 GPU 数量
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nvidia-smi --query-gpu=index,power.limit,power.draw,temperature.gpu,utilization.gpu \
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--format=csv,noheader,nounits | while IFS=',' read -r idx limit current temp util; do
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idx=$(echo "${idx}" | xargs)
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limit=$(echo "${limit}" | xargs)
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current=$(echo "${current}" | xargs)
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temp=$(echo "${temp}" | xargs)
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util=$(echo "${util}" | xargs)
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# 输出单块 GPU 指标
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echo "gpu_temperature{gpu=\"${idx}\"} ${temp}"
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echo "gpu_power_limit{gpu=\"${idx}\"} ${limit}"
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echo "gpu_power_current{gpu=\"${idx}\"} ${current}"
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echo "gpu_utilization{gpu=\"${idx}\"} ${util}"
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echo "gpu_online{gpu=\"${idx}\"} 1" # 标记为在线
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# 记录在线 GPU 编号和使用率
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echo "${idx}" >> "${TMP_GPU_IDS}"
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echo "${util}" >> "${TMP_GPU_UTIL}"
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# 累加总使用率
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((total_util += util))
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((online_count++))
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done
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# 确保metrics文件目录存在
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METRICS_DIR="/var/lib/node_exporter/textfile_collector"
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mkdir -p "${METRICS_DIR}"
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chmod 755 "${METRICS_DIR}"
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# 2. 计算当前在线 GPU 总数
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echo "# HELP gpu_total 在线 GPU 总数"
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echo "# TYPE gpu_total gauge"
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gpu_count=$(wc -l < "${TMP_GPU_IDS}" | xargs)
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echo "gpu_total ${gpu_count}"
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# 添加定时任务到crontab
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echo "正在配置定时任务..."
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(
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crontab -l 2>/dev/null || true # 获取现有crontab（如果有）
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echo "${CRON_SCHEDULE} ${TARGET_SCRIPT} >> ${LOG_FILE} 2>&1" # 添加新任务
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) | crontab -
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# 3. 计算并输出聚合使用率指标
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if [ "${online_count}" -gt 0 ]; then
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# 平均使用率 = 总使用率 / 在线 GPU 数量
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avg_util=$(echo "scale=2; ${total_util} / ${online_count}" | bc)
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echo "gpu_utilization_avg ${avg_util}"
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# 总使用率（所有 GPU 使用率之和）
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echo "gpu_utilization_total ${total_util}"
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else
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# 无在线 GPU 时设为 0
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echo "gpu_utilization_avg 0"
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echo "gpu_utilization_total 0"
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fi
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# 验证定时任务
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echo "验证定时任务配置:"
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crontab -l | grep "${TARGET_SCRIPT}" || {
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echo "错误: 定时任务添加失败" >&2
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exit 1
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}
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# 4. 标记离线的 GPU
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for expected_gpu in ${EXPECTED_GPUS}; do
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if ! grep -q "^${expected_gpu}$" "${TMP_GPU_IDS}"; then
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echo "gpu_online{gpu=\"${expected_gpu}\"} 0" # 标记为离线
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echo "gpu_temperature{gpu=\"${expected_gpu}\"} 0"
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echo "gpu_power_limit{gpu=\"${expected_gpu}\"} 0"
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echo "gpu_power_current{gpu=\"${expected_gpu}\"} 0"
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echo "gpu_utilization{gpu=\"${expected_gpu}\"} 0"
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fi
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done
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} > "${METRICS_FILE}"
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# 首次执行脚本
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echo "执行脚本进行测试..."
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"${TARGET_SCRIPT}" || {
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echo "错误: 脚本首次执行失败，请检查 ${LOG_FILE}" >&2
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exit 1
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}
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# 清理临时文件
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rm -f "${TMP_GPU_IDS}" "${TMP_GPU_UTIL}"
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echo "====================================================="
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echo "GPU监控脚本已成功部署!"
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echo "脚本位置: ${TARGET_SCRIPT}"
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echo "定时任务: ${CRON_SCHEDULE}"
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echo "日志文件: ${LOG_FILE}"
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echo "指标文件: ${METRICS_DIR}/gpu_metrics.prom"
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echo "====================================================="
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