extends Node
class_name PerformanceMonitoringSystem
## 性能监控和报警系统
## 实时监控游戏性能并在出现问题时发出警报

# 性能指标类型
enum MetricType {
	FPS,              # 帧率
	MEMORY_USAGE,     # 内存使用
	NETWORK_LATENCY,  # 网络延迟
	LOAD_TIME,        # 加载时间
	RENDER_TIME,      # 渲染时间
	SCRIPT_TIME,      # 脚本执行时间
	PHYSICS_TIME,     # 物理计算时间
	AUDIO_LATENCY,    # 音频延迟
	DISK_IO,          # 磁盘IO
	CPU_USAGE         # CPU使用率
}

# 性能警报级别
enum AlertLevel {
	INFO,     # 信息
	WARNING,  # 警告
	CRITICAL, # 严重
	EMERGENCY # 紧急
}

# 性能指标数据结构
class PerformanceMetric:
	var metric_type: MetricType
	var value: float
	var timestamp: float
	var threshold_warning: float
	var threshold_critical: float
	var unit: String
	
	func _init(type: MetricType, val: float, warn_threshold: float = 0.0, crit_threshold: float = 0.0, metric_unit: String = ""):
		metric_type = type
		value = val
		timestamp = Time.get_unix_time_from_system()
		threshold_warning = warn_threshold
		threshold_critical = crit_threshold
		unit = metric_unit

# 性能警报数据结构
class PerformanceAlert:
	var alert_id: String
	var metric_type: MetricType
	var level: AlertLevel
	var message: String
	var value: float
	var threshold: float
	var timestamp: float
	var resolved: bool = false
	
	func _init(type: MetricType, alert_level: AlertLevel, msg: String, val: float, thresh: float):
		alert_id = _generate_alert_id()
		metric_type = type
		level = alert_level
		message = msg
		value = val
		threshold = thresh
		timestamp = Time.get_unix_time_from_system()
	
	func _generate_alert_id() -> String:
		return "alert_%d_%d" % [Time.get_unix_time_from_system(), randi()]

# 数据存储
var performance_history: Dictionary = {}  # MetricType -> Array[PerformanceMetric]
var active_alerts: Array[PerformanceAlert] = []
var resolved_alerts: Array[PerformanceAlert] = []
var monitoring_enabled: bool = true

# 监控配置
var monitoring_interval: float = 1.0  # 监控间隔（秒）
var history_retention_time: float = 3600.0  # 历史数据保留时间（1小时）
var max_history_entries: int = 1000

# 性能阈值配置
var performance_thresholds: Dictionary = {
	MetricType.FPS: {"warning": 30.0, "critical": 15.0},
	MetricType.MEMORY_USAGE: {"warning": 512.0, "critical": 1024.0},  # MB
	MetricType.NETWORK_LATENCY: {"warning": 200.0, "critical": 500.0},  # ms
	MetricType.LOAD_TIME: {"warning": 5.0, "critical": 10.0},  # seconds