优化 local 模式兼容性与部署可靠性

- SQL 方言层：agent updated_at、dashboard 小时分桶、清理任务跨 SQLite/MySQL
- Cache Capabilities：redka 跳过 ZSet/PubSub，Agent 聚合改 DB 直读
- local 模式 redka 初始化失败 Fatal；/version 返回 features
- SQLite WAL + 连接池限制；K8s data 改 PVC 持久化
- run.sh：旧参数迁移、升级后 /version 校验

backend/controller/dashboard.go

@@ -10,6 +10,7 @@ import (
 	"time"
 
 	"ezops/model"
+	"ezops/pkg/database"
 	ezredis "ezops/pkg/redis"
 
 	"github.com/gin-gonic/gin"
@@ -39,16 +40,18 @@ func (h *DashboardHandler) GetStats(c *gin.Context) {
 	const cacheKey = "dashboard:stats"
 	const cacheTTL = 30 * time.Second
 
-	// 尝试从 Redis 缓存读取
-	if cached, err := h.cache.Get(c.Request.Context(), cacheKey); err == nil && cached != "" {
-		var stats model.DashboardStats
-		if json.Unmarshal([]byte(cached), &stats) == nil {
-			c.JSON(http.StatusOK, model.Response{
-				Code:    200,
-				Message: "success",
-				Data:    stats,
-			})
-			return
+	// 尝试从缓存读取
+	if h.cache != nil {
+		if cached, err := h.cache.Get(c.Request.Context(), cacheKey); err == nil && cached != "" {
+			var stats model.DashboardStats
+			if json.Unmarshal([]byte(cached), &stats) == nil {
+				c.JSON(http.StatusOK, model.Response{
+					Code:    200,
+					Message: "success",
+					Data:    stats,
+				})
+				return
+			}
 		}
 	}
 
@@ -231,9 +234,11 @@ func (h *DashboardHandler) GetStats(c *gin.Context) {
 	}
 	stats.ExpiringCerts = expiringCerts
 
-	// 写入 Redis 缓存（异步，缓存失败不影响响应）
-	if data, err := json.Marshal(stats); err == nil {
-		_ = h.cache.Set(context.Background(), cacheKey, string(data), cacheTTL)
+	// 写入缓存（异步，缓存失败不影响响应）// Logan.Li
+	if h.cache != nil {
+		if data, err := json.Marshal(stats); err == nil {
+			_ = h.cache.Set(context.Background(), cacheKey, string(data), cacheTTL)
+		}
 	}
 
 	c.JSON(http.StatusOK, model.Response{
@@ -327,8 +332,9 @@ func (h *DashboardHandler) GetMetrics(c *gin.Context) {
 		AvgMem   float64
 	}
 	var rows []avgPoint
+	bucketExpr := database.HourBucketExpr(database.DriverName(h.db))
 	h.db.Model(&model.AgentReport{}).
-		Select("UNIX_TIMESTAMP(report_time) DIV 3600 as bucket_ts, ROUND(AVG(cpu_usage),2) as avg_cpu, ROUND(AVG(mem_usage),2) as avg_mem").
+		Select(fmt.Sprintf("%s as bucket_ts, ROUND(AVG(cpu_usage),2) as avg_cpu, ROUND(AVG(mem_usage),2) as avg_mem", bucketExpr)).
 		Where("report_time >= ?", since).
 		Group("bucket_ts").
 		Order("bucket_ts ASC").