优化系统健康评分与缓存监测
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@@ -15,7 +15,11 @@ from sqlalchemy import func, select, desc
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.deps import get_current_user, get_db_session, is_system_admin
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from app.core.permission_monitor import get_permission_monitor
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from app.core.permission_monitor import (
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CACHE_HIT_RATE_HEALTH_MIN_ACCESSES,
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CACHE_METRICS_WINDOW_SECONDS,
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get_permission_monitor,
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)
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from app.models.permission_access_log import PermissionAccessLog
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from app.models.permission_metric_snapshot import PermissionMetricSnapshot
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from app.models.security_access_log import SecurityAccessLog
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@@ -78,7 +82,7 @@ async def get_permission_metrics(
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row = result.one()
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total = row.total_checks or 0
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monitor = get_permission_monitor()
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cache_metrics = monitor.metrics.cache_metrics.to_dict()
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cache_metrics = monitor.metrics.cache_metrics.window_stats()
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return {
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"window_hours": hours,
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"check_metrics": {
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@@ -178,33 +182,87 @@ async def permission_system_health(
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deny_rate = round(row.denied / total * 100, 2) if total else 0
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monitor = get_permission_monitor()
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cache_metrics = monitor.metrics.cache_metrics
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cache_metrics = monitor.metrics.cache_metrics.window_stats()
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now_timestamp = datetime.now(timezone.utc).timestamp()
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recent_alerts = [
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alert
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for alert in monitor.get_alerts(limit=1000)
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if alert["timestamp"] >= now_timestamp - 3600
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]
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health_score = 100
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issues = []
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deductions: dict[str, int] = {
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"performance": 0,
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"deny_rate": 0,
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"cache": 0,
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"alerts": 0,
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}
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issues: list[str] = []
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if avg_ms > 200:
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deductions["performance"] = 40
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elif avg_ms > 50:
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deductions["performance"] = 25
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elif avg_ms > 10:
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deductions["performance"] = 10
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if deductions["performance"]:
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issues.append(f"权限检查平均响应时间过长({avg_ms:.2f}ms)")
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if avg_ms > 10:
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health_score -= 10
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issues.append("权限检查响应时间过长")
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if deny_rate > 50:
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health_score -= 5
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issues.append("权限拒绝率过高")
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if (
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cache_metrics.total_accesses >= 10
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and cache_metrics.hit_rate < 50
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):
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health_score -= 10
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issues.append("缓存命中率过低")
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deductions["deny_rate"] = 20
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elif deny_rate > 20:
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deductions["deny_rate"] = 10
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if deductions["deny_rate"]:
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issues.append(f"权限拒绝率偏高({deny_rate:.2f}%)")
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cache_sample_sufficient = (
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cache_metrics["total_accesses"] >= CACHE_HIT_RATE_HEALTH_MIN_ACCESSES
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)
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if cache_sample_sufficient:
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if cache_metrics["hit_rate"] < 20:
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deductions["cache"] = 25
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elif cache_metrics["hit_rate"] < 50:
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deductions["cache"] = 20
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elif cache_metrics["hit_rate"] < 80:
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deductions["cache"] = 10
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if deductions["cache"]:
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issues.append(f"近 1 小时缓存命中率偏低({cache_metrics['hit_rate']:.2f}%)")
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error_alert_count = sum(alert["level"] == "error" for alert in recent_alerts)
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warning_alert_count = sum(alert["level"] == "warning" for alert in recent_alerts)
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if error_alert_count:
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deductions["alerts"] = 15
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issues.append(f"近 1 小时发生 {error_alert_count} 条错误告警")
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elif warning_alert_count:
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deductions["alerts"] = 5
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issues.append(f"近 1 小时发生 {warning_alert_count} 条警告")
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health_score = max(0, 100 - sum(deductions.values()))
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sample_sufficient = total >= 10
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return {
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"status": "healthy" if health_score >= 80 else "degraded" if health_score >= 50 else "unhealthy",
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"health_score": max(0, health_score),
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"health_score": health_score,
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"issues": issues,
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"sample_sufficient": sample_sufficient,
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"score_breakdown": {
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"performance": {"weight": 40, "deduction": deductions["performance"]},
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"deny_rate": {"weight": 20, "deduction": deductions["deny_rate"]},
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"cache": {
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"weight": 25,
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"deduction": deductions["cache"],
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"sample_sufficient": cache_sample_sufficient,
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"scope": "sliding_window",
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"window_seconds": CACHE_METRICS_WINDOW_SECONDS,
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},
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"alerts": {"weight": 15, "deduction": deductions["alerts"]},
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},
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"last_hour": {
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"total_checks": total,
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"denied_checks": row.denied or 0,
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"deny_rate": deny_rate,
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"avg_elapsed_ms": round(avg_ms, 2),
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"error_alerts": error_alert_count,
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"warning_alerts": warning_alert_count,
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},
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"cache_stats": monitor.get_cache_stats(),
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}
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