Event Management¶

# Example: Event management integration
from netapp_mcp_client import NetAppMCPClient
from apim_client import APIMClient
from datetime import datetime, timedelta

class EventManager:
    def __init__(self):
        self.apim = APIMClient()
        self.mcp_client = NetAppMCPClient()

    async def get_active_events(self, severity_filter: list = None):
        """Fetch active events with optional severity filtering"""
        workflow_request = {
            "workflow": "get_active_events",
            "parameters": {
                "severity_filter": severity_filter or ["critical", "warning"],
                "status": "active",
                "include_details": True
            }
        }

        response = await self.apim.execute_temporal_workflow(workflow_request)
        return response.events

    async def acknowledge_event(self, event_id: str, user_id: str, notes: str = None):
        """Acknowledge an event with user context"""
        acknowledgment_request = {
            "workflow": "acknowledge_event",
            "parameters": {
                "event_id": event_id,
                "acknowledged_by": user_id,
                "acknowledgment_time": datetime.utcnow().isoformat(),
                "notes": notes
            }
        }

        return await self.apim.execute_temporal_workflow(acknowledgment_request)

    async def get_event_timeline(self, cluster_id: str, timeframe_hours: int = 24):
        """Get event timeline for specific cluster"""
        timeline_request = {
            "workflow": "event_timeline_analysis",
            "parameters": {
                "cluster_id": cluster_id,
                "start_time": (datetime.utcnow() - timedelta(hours=timeframe_hours)).isoformat(),
                "end_time": datetime.utcnow().isoformat(),
                "include_correlations": True
            }
        }

        response = await self.apim.execute_temporal_workflow(timeline_request)
        return response.timeline_data

class EventAutomation:
    async def setup_event_handlers(self):
        """Configure automated event response handlers"""

        # Critical event handler
        await self.apim.register_event_handler({
            "event_type": "hardware_failure",
            "severity": "critical",
            "handler": "emergency_response_workflow",
            "auto_execute": True,
            "approval_required": False
        })

        # Warning event handler
        await self.apim.register_event_handler({
            "event_type": "performance_degradation",
            "severity": "warning",
            "handler": "performance_investigation_workflow",
            "auto_execute": True,
            "approval_required": True,
            "approver_role": "devops_lead"
        })

        # Informational event handler
        await self.apim.register_event_handler({
            "event_type": "maintenance_completion",
            "severity": "info",
            "handler": "update_maintenance_log",
            "auto_execute": True,
            "approval_required": False
        })

    async def execute_remediation_runbook(self, event_data):
        """Execute automated remediation based on event type"""
        runbook_mapping = {
            "disk_failure": "disk_replacement_workflow",
            "high_cpu": "cpu_optimization_workflow",
            "network_issue": "network_diagnostics_workflow",
            "backup_failure": "backup_retry_workflow"
        }

        runbook = runbook_mapping.get(event_data.event_type)
        if runbook:
            return await self.apim.execute_temporal_workflow({
                "workflow": runbook,
                "parameters": {
                    "event_context": event_data,
                    "cluster_id": event_data.cluster_id,
                    "auto_approve": event_data.severity == "critical"
                }
            })

class AIEventProcessor:
    async def process_event_with_ai(self, event_data):
        """AI-enhanced event processing"""

        # Event classification and enrichment
        classified_event = await self.ai_assistant.classify_event(
            event_data=event_data,
            historical_context=True,
            system_topology=True
        )

        # Correlation analysis
        correlations = await self.ai_assistant.find_correlations(
            target_event=classified_event,
            time_window="30_minutes",
            similarity_threshold=0.7
        )

        # Impact assessment
        impact_analysis = await self.ai_assistant.assess_impact(
            event=classified_event,
            correlations=correlations,
            business_context=True
        )

        # Generate recommendations
        recommendations = await self.ai_assistant.generate_recommendations(
            event_analysis=impact_analysis,
            available_actions=self.get_available_actions(),
            risk_tolerance="medium"
        )

        # Execute approved automated responses
        for recommendation in recommendations.auto_approved:
            await self.apim.execute_temporal_workflow({
                "workflow": recommendation.workflow,
                "parameters": recommendation.parameters,
                "ai_confidence": recommendation.confidence_score
            })

        return {
            "processed_event": classified_event,
            "correlations": correlations,
            "impact_analysis": impact_analysis,
            "recommendations": recommendations
        }