#!/bin/bash
# GCP 自動回滾腳本
# 功能:檢測 GCP 應用異常,自動回滾到上一個版本
# 執行位置:UAT 主機,透過 gcloud SSH 連接 GCP
set -e
# GCP 配置
GCP_PROJECT="astral-gateway-484913-d7"
GCP_ZONE="asia-east1-b"
GCP_VM="momo-pro-gcp"
NAMESPACE="momo"
DEPLOYMENT="momo-app"
HEALTH_URL="https://momo.wooo.work/health"
ERROR_THRESHOLD=5 # 連續失敗次數閾值
# 通知配置
TELEGRAM_BOT="8075645931:AAH-EGKMo8ZC4QJs-Nc1_0s92xHrGdQvdpg"
TELEGRAM_CHAT="5619078117"
LOG_FILE="/var/log/auto_rollback_gcp.log"
STATE_FILE="/tmp/rollback_state_gcp.json"
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] [GCP] $1" | tee -a "$LOG_FILE"
}
send_telegram() {
curl -s -X POST "https://api.telegram.org/bot${TELEGRAM_BOT}/sendMessage" \
-d "chat_id=${TELEGRAM_CHAT}" \
-d "parse_mode=HTML" \
-d "text=$1" > /dev/null
}
# 在 GCP 上執行命令
gcp_exec() {
gcloud compute ssh "$GCP_VM" \
--zone="$GCP_ZONE" \
--project="$GCP_PROJECT" \
--command="$1" 2>/dev/null
}
# 讀取/更新狀態
get_state() {
local key=$1
if [ -f "$STATE_FILE" ]; then
python3 -c "import json; d=json.load(open('$STATE_FILE')); print(d.get('$key', ''))" 2>/dev/null || echo ""
fi
}
set_state() {
local key=$1
local value=$2
if [ -f "$STATE_FILE" ]; then
python3 -c "import json; d=json.load(open('$STATE_FILE')); d['$key']='$value'; json.dump(d, open('$STATE_FILE','w'))"
else
echo "{\"$key\": \"$value\"}" > "$STATE_FILE"
fi
}
# 健康檢查
check_health() {
local status=$(curl -s -o /dev/null -w '%{http_code}' -m 10 "$HEALTH_URL" 2>/dev/null)
if [ "$status" = "200" ]; then
return 0
else
return 1
fi
}
# 檢查 GCP Pod 狀態
check_pod_status() {
local ready=$(gcp_exec "sudo kubectl get deployment $DEPLOYMENT -n $NAMESPACE -o jsonpath='{.status.readyReplicas}'" 2>/dev/null || echo "0")
local desired=$(gcp_exec "sudo kubectl get deployment $DEPLOYMENT -n $NAMESPACE -o jsonpath='{.spec.replicas}'" 2>/dev/null || echo "1")
if [ "${ready:-0}" -ge "${desired:-1}" ]; then
return 0
else
return 1
fi
}
# 取得當前版本
get_current_revision() {
gcp_exec "sudo kubectl rollout history deployment/$DEPLOYMENT -n $NAMESPACE" 2>/dev/null | \
grep -E '^[0-9]+' | tail -1 | awk '{print $1}'
}
# 取得上一個版本
get_previous_revision() {
gcp_exec "sudo kubectl rollout history deployment/$DEPLOYMENT -n $NAMESPACE" 2>/dev/null | \
grep -E '^[0-9]+' | tail -2 | head -1 | awk '{print $1}'
}
# 執行回滾
do_rollback() {
local current_rev=$(get_current_revision)
local previous_rev=$(get_previous_revision)
if [ -z "$previous_rev" ] || [ "$previous_rev" = "$current_rev" ]; then
log "沒有可回滾的版本"
return 1
fi
log "執行 GCP 回滾: $current_rev -> $previous_rev"
# 記錄回滾時間(防止頻繁回滾)
local last_rollback=$(get_state "last_rollback")
local now=$(date +%s)
if [ -n "$last_rollback" ]; then
local elapsed=$((now - last_rollback))
if [ $elapsed -lt 3600 ]; then # 1 小時內不重複回滾
log "最近 1 小時內已回滾過,跳過"
return 1
fi
fi
# 執行回滾
gcp_exec "sudo kubectl rollout undo deployment/$DEPLOYMENT -n $NAMESPACE"
gcp_exec "sudo kubectl rollout status deployment/$DEPLOYMENT -n $NAMESPACE --timeout=120s"
set_state "last_rollback" "$now"
set_state "rollback_from" "$current_rev"
set_state "rollback_to" "$previous_rev"
log "GCP 回滾完成"
return 0
}
# 驗證回滾成功
verify_rollback() {
sleep 30 # 等待服務穩定
if check_health && check_pod_status; then
return 0
else
return 1
fi
}
# 主邏輯
main() {
log "===== 開始 GCP 異常檢測 ====="
local fail_count=$(get_state "fail_count")
fail_count=${fail_count:-0}
# 檢查健康狀態
if check_health && check_pod_status; then
# 服務正常,重置計數
if [ "$fail_count" -gt 0 ]; then
log "GCP 服務已恢復正常,重置失敗計數"
set_state "fail_count" "0"
fi
log "GCP 服務狀態正常"
return 0
fi
# 服務異常
((fail_count++))
set_state "fail_count" "$fail_count"
log "檢測到 GCP 異常,連續失敗次數: $fail_count"
if [ $fail_count -ge $ERROR_THRESHOLD ]; then
log "達到回滾閾值 ($ERROR_THRESHOLD),開始 GCP 自動回滾"
current_rev=$(get_current_revision)
if do_rollback; then
# 等待並驗證
if verify_rollback; then
send_telegram "🔄 【GCP】自動回滾成功
🏢 環境: 🟥 PROD (momo.wooo.work)
📦 Deployment: $DEPLOYMENT
📊 版本回滾: $current_rev → $(get_current_revision)
🔍 原因: 連續 $ERROR_THRESHOLD 次健康檢查失敗
✅ 服務已恢復正常
⚠️ 請檢查最新部署的程式碼問題
⏰ 時間: $(date '+%Y-%m-%d %H:%M:%S')
🏷️ MOMO Pro 自動修復系統"
set_state "fail_count" "0"
log "GCP 回滾驗證成功"
else
send_telegram "🔴 【GCP】自動回滾失敗
🏢 環境: 🟥 PROD (momo.wooo.work)
📦 Deployment: $DEPLOYMENT
❌ 回滾後服務仍然異常
📋 需要人工介入
🔗 SSH: gcloud compute ssh $GCP_VM --zone=$GCP_ZONE
⏰ 時間: $(date '+%Y-%m-%d %H:%M:%S')"
fi
fi
else
log "GCP 異常次數 $fail_count 未達閾值 $ERROR_THRESHOLD"
fi
log "===== GCP 異常檢測完成 ====="
}
main "$@"