Create monitoring_models.py

monitoring_models.py

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+from pydantic import BaseModel, Field
+from typing import Dict, List, Optional, Any
+from datetime import datetime
+from enum import Enum
+
+class DataSourceType(Enum):
+    PROMETHEUS = "prometheus"
+    DATADOG = "datadog"
+    CUSTOM_METRICS = "custom_metrics"
+    SIMULATED = "simulated"
+
+class MetricQuery(BaseModel):
+    name: str
+    query: str
+    data_source: DataSourceType
+    refresh_interval: int = 30  # seconds
+
+class ServiceTopology(BaseModel):
+    service_name: str
+    dependencies: List[str]
+    critical_tier: int = Field(ge=1, le=3)  # 1=critical, 2=important, 3=standard
+    revenue_impact_per_minute: float = 100.0
+
+class AgentSpecialization(Enum):
+    DETECTIVE = "anomaly_detection"
+    DIAGNOSTICIAN = "root_cause_analysis"
+    HEALER = "remediation_orchestration"
+    ECONOMIST = "business_impact"
+    ARCHIVIST = "knowledge_management"