feat(log): decouple log storage from ClickHouse with switchable logstore

- New internal/repository/logstore abstraction: exported domain interfaces
  (AccessLogStore/ObservabilityStore/UserAccessLogStore/StatusStore),
  config-driven provider (Active/Build/Migrating/SetConfigReader), GORM
  implementation for PostgreSQL/SQLite (incl. hourly rollups computed in
  real time, migration listers, PG partition maintenance), and a ClickHouse
  wrapper preserving the native batch path; repository facade delegates to
  logstore; import-lint test enforces apps never import analyticsrepo.
- ClickHouse is now optional: the log DB is either the main DB (postgres
  when database.enabled, else sqlite) or clickhouse; boot validation +
  first-run seed; log_database / log_db_migration are protected keys.
- New user task 切换日志数据库 (of_log_db_switch): freeze log writes,
  drain batch writers, copy all 6 raw log tables by id (preserving IDs)
  with target-partition pre-creation for PG, flip log_database on success,
  clear the freeze flag on failure.
- Per-store retention (log_retention_days_*) with expiry cleanup folded
  into the daily system_cleanup task; legacy database_auto_cleanup_* and
  of_database_auto_cleanup decommissioned.
- goose migrations: 6 log tables in PG (2 monthly-partitioned) + SQLite,
  retention config seeds, schedule cleanup; GET
  /api/v1/admin/status/log-database endpoint; frontend retention settings,
  switch-task UI and status badge; changelog and docs updated.

docs(plan): log database decoupling implementation plan

docs(design): log database decoupling design (ClickHouse optional)

internal/apps/openflare/observability/access_log_logics.go

@@ -11,7 +11,7 @@ import (
 	"github.com/Rain-kl/Wavelet/internal/repository"
 
 	"github.com/Rain-kl/Wavelet/internal/model"
-	analyticsrepo "github.com/Rain-kl/Wavelet/internal/repository/analytics"
+	analyticsmodel "github.com/Rain-kl/Wavelet/internal/model/analytics"
 	"github.com/Rain-kl/Wavelet/pkg/logger"
 )
 
@@ -448,9 +448,9 @@ func buildAccessLogUADistributions(
 	for _, row := range uaRows {
 		ua := row.Key
 		count := row.Value
-		deviceAcc[analyticsrepo.ParseDeviceType(ua)] += count
-		browserAcc[analyticsrepo.ParseBrowserName(ua)] += count
-		osAcc[analyticsrepo.ParseOSName(ua)] += count
+		deviceAcc[analyticsmodel.ParseDeviceType(ua)] += count
+		browserAcc[analyticsmodel.ParseBrowserName(ua)] += count
+		osAcc[analyticsmodel.ParseOSName(ua)] += count
 	}
 
 	topUserAgents = make([]DistributionItem, 0, accessLogOverviewTopLimit)