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- 建立 Gitea Actions CD pipeline (.gitea/workflows/cd.yaml) - 部署模式: rsync Python 檔案至 188 → docker restart (volume mount) - Dockerfile/requirements 變動時自動重建 Docker image - 部署通知: Telegram (開始/成功/失敗) - 健康檢查: https://mo.wooo.work/health (最多 5 次重試) - 同步最新 CLAUDE.md / ADR-008 / memory (2026-04-19) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
151 lines
4.2 KiB
Bash
151 lines
4.2 KiB
Bash
#!/bin/bash
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# GCP OOM 自動修復腳本
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# 功能：檢測 GCP OOM 事件，自動增加資源限制並重啟
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# 執行位置：UAT 主機，透過 gcloud SSH 連接 GCP
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set -e
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# GCP 配置
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GCP_PROJECT="astral-gateway-484913-d7"
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GCP_ZONE="asia-east1-b"
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GCP_VM="momo-pro-gcp"
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NAMESPACE="momo"
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# 通知配置
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TELEGRAM_BOT="8075645931:AAH-EGKMo8ZC4QJs-Nc1_0s92xHrGdQvdpg"
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TELEGRAM_CHAT="5619078117"
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LOG_FILE="/var/log/oom_handler_gcp.log"
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log() {
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echo "[$(date '+%Y-%m-%d %H:%M:%S')] [GCP-OOM] $1" | tee -a "$LOG_FILE"
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}
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send_telegram() {
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curl -s -X POST "https://api.telegram.org/bot${TELEGRAM_BOT}/sendMessage" \
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-d "chat_id=${TELEGRAM_CHAT}" \
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-d "parse_mode=HTML" \
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-d "text=$1" > /dev/null
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}
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# 在 GCP 上執行命令
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gcp_exec() {
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gcloud compute ssh "$GCP_VM" \
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--zone="$GCP_ZONE" \
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--project="$GCP_PROJECT" \
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--command="$1" 2>/dev/null
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}
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# 檢測最近的 OOM 事件
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check_oom_events() {
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gcp_exec "sudo kubectl get events -n $NAMESPACE --field-selector reason=OOMKilled --sort-by='.lastTimestamp' -o json" 2>/dev/null | \
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python3 -c "
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import sys, json
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from datetime import datetime, timedelta
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try:
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data = json.load(sys.stdin)
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recent_events = []
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now = datetime.utcnow()
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threshold = now - timedelta(minutes=30)
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for item in data.get('items', []):
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ts = item.get('lastTimestamp', '')
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if ts:
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try:
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event_time = datetime.fromisoformat(ts.replace('Z', '+00:00')).replace(tzinfo=None)
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if event_time > threshold:
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pod = item.get('involvedObject', {}).get('name', 'unknown')
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recent_events.append(pod)
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except:
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pass
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print(','.join(set(recent_events)))
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except:
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print('')
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"
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}
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# 取得 Deployment 目前的記憶體限制
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get_current_memory_limit() {
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local deployment=$1
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gcp_exec "sudo kubectl get deployment $deployment -n $NAMESPACE -o jsonpath='{.spec.template.spec.containers[0].resources.limits.memory}'" 2>/dev/null
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}
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# 增加記憶體限制 (增加 50%)
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increase_memory_limit() {
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local deployment=$1
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local current_limit=$(get_current_memory_limit "$deployment")
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# 解析數值和單位
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local value=$(echo "$current_limit" | sed 's/[^0-9]//g')
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local unit=$(echo "$current_limit" | sed 's/[0-9]//g')
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# 增加 50%，最大不超過 8Gi
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local new_value=$((value * 3 / 2))
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if [ "$unit" = "Gi" ] && [ "$new_value" -gt 8 ]; then
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new_value=8
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fi
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if [ "$unit" = "Mi" ] && [ "$new_value" -gt 8192 ]; then
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new_value=8192
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fi
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local new_limit="${new_value}${unit}"
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log "增加 GCP $deployment 記憶體限制: $current_limit -> $new_limit"
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# 更新 Deployment
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gcp_exec "sudo kubectl patch deployment $deployment -n $NAMESPACE -p '{\"spec\":{\"template\":{\"spec\":{\"containers\":[{\"name\":\"$deployment\",\"resources\":{\"limits\":{\"memory\":\"$new_limit\"}}}]}}}}'"
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echo "$new_limit"
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}
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# 主邏輯
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main() {
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log "===== 開始 GCP OOM 檢測 ====="
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oom_pods=$(check_oom_events)
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if [ -z "$oom_pods" ]; then
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log "沒有發現最近的 GCP OOM 事件"
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return 0
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fi
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log "發現 GCP OOM 事件: $oom_pods"
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# 解析受影響的 Deployment
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for pod in $(echo "$oom_pods" | tr ',' '\n'); do
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# 從 Pod 名稱解析 Deployment
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deployment=$(echo "$pod" | sed 's/-[a-z0-9]*-[a-z0-9]*$//')
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if [ -z "$deployment" ]; then
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continue
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fi
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current_limit=$(get_current_memory_limit "$deployment")
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new_limit=$(increase_memory_limit "$deployment")
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if [ $? -eq 0 ]; then
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# 等待 Pod 重啟
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sleep 10
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gcp_exec "sudo kubectl rollout status deployment/$deployment -n $NAMESPACE --timeout=120s"
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# 發送通知
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send_telegram "🔧 <b>【GCP】OOM 自動修復完成</b>
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🏢 環境: 🟥 <code>PROD</code> (momo.wooo.work)
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📦 Deployment: <code>$deployment</code>
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📊 記憶體調整: $current_limit → $new_limit
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✅ Pod 已自動重啟
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⏰ 時間: $(date '+%Y-%m-%d %H:%M:%S')
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🏷️ <i>MOMO Pro 自動修復系統</i>"
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log "已修復 GCP $deployment OOM 問題"
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fi
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done
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log "===== GCP OOM 檢測完成 ====="
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}
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main "$@"
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