Backup & Recovery¶

# Example: Backup and recovery integration
from netapp_mcp_client import NetAppMCPClient
from apim_client import APIMClient
from datetime import datetime, timedelta

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

    async def schedule_backup(self, volume_id: str, backup_policy: dict):
        """Schedule a backup operation with specified policy"""
        backup_request = {
            "workflow": "schedule_backup",
            "parameters": {
                "volume_id": volume_id,
                "backup_type": backup_policy.get("type", "snapshot"),
                "retention_period": backup_policy.get("retention", "30_days"),
                "consistency_group": backup_policy.get("consistency_group", True),
                "schedule": backup_policy.get("schedule", "daily")
            }
        }

        response = await self.apim.execute_temporal_workflow(backup_request)
        return response.backup_schedule

    async def initiate_recovery(self, recovery_request: dict):
        """Initiate a data recovery operation"""
        recovery_workflow = {
            "workflow": "data_recovery",
            "parameters": {
                "recovery_type": recovery_request["type"],
                "source_backup": recovery_request["backup_id"],
                "target_location": recovery_request["target"],
                "recovery_point": recovery_request.get("point_in_time"),
                "validate_integrity": True,
                "notify_completion": True
            }
        }

        return await self.apim.execute_temporal_workflow(recovery_workflow)

    async def get_backup_status(self, cluster_id: str, timeframe_days: int = 7):
        """Get comprehensive backup status for cluster"""
        status_request = {
            "workflow": "backup_status_report",
            "parameters": {
                "cluster_id": cluster_id,
                "start_date": (datetime.utcnow() - timedelta(days=timeframe_days)).isoformat(),
                "end_date": datetime.utcnow().isoformat(),
                "include_metrics": True,
                "include_failures": True
            }
        }

        response = await self.apim.execute_temporal_workflow(status_request)
        return response.backup_status

class AutomatedRecovery:
    async def setup_recovery_automation(self):
        """Configure automated recovery triggers"""

        # File-level recovery automation
        await self.apim.register_recovery_handler({
            "trigger_type": "file_corruption_detected",
            "recovery_action": "automatic_file_restore",
            "approval_required": False,
            "max_file_size": "1GB",
            "notification_channels": ["slack", "email"]
        })

        # Volume recovery automation
        await self.apim.register_recovery_handler({
            "trigger_type": "volume_failure",
            "recovery_action": "volume_restore_from_snapshot",
            "approval_required": True,
            "approver_role": "storage_admin",
            "escalation_timeout": "15_minutes"
        })

        # Disaster recovery automation
        await self.apim.register_recovery_handler({
            "trigger_type": "site_failure",
            "recovery_action": "disaster_recovery_failover",
            "approval_required": True,
            "approver_role": "disaster_recovery_manager",
            "escalation_chain": ["team_lead", "operations_manager", "cto"]
        })

    async def execute_smart_recovery(self, failure_context):
        """Execute AI-recommended recovery strategy"""
        recovery_analysis = await self.ai_assistant.analyze_failure(
            failure_context=failure_context,
            available_backups=await self.get_available_backups(),
            business_impact=await self.assess_business_impact()
        )

        recommended_strategy = recovery_analysis.recommended_strategy

        if recommended_strategy.confidence_score > 0.8:
            # High confidence - execute automatically
            return await self.apim.execute_temporal_workflow({
                "workflow": recommended_strategy.workflow,
                "parameters": recommended_strategy.parameters,
                "auto_approve": True
            })
        else:
            # Lower confidence - require approval
            return await self.apim.submit_for_approval({
                "workflow": recommended_strategy.workflow,
                "parameters": recommended_strategy.parameters,
                "recommendation_context": recovery_analysis,
                "approver_role": "storage_admin"
            })

class AIBackupAnalytics:
    async def optimize_backup_strategy(self, cluster_metrics):
        """AI-driven backup strategy optimization"""

        # Analyze current backup performance
        backup_analysis = await self.ai_assistant.analyze_backup_patterns(
            cluster_metrics=cluster_metrics,
            historical_data="90_days",
            include_failures=True
        )

        # Generate optimization recommendations
        optimizations = await self.ai_assistant.generate_backup_optimizations(
            current_analysis=backup_analysis,
            business_requirements=await self.get_business_requirements(),
            compliance_requirements=await self.get_compliance_requirements()
        )

        # Implement approved optimizations
        for optimization in optimizations.approved_recommendations:
            await self.apim.execute_temporal_workflow({
                "workflow": "update_backup_policy",
                "parameters": {
                    "policy_changes": optimization.policy_changes,
                    "effective_date": optimization.implementation_date,
                    "rollback_plan": optimization.rollback_procedure
                }
            })

        return optimizations

    async def predict_backup_failures(self, system_metrics):
        """Predict potential backup failures"""
        failure_prediction = await self.ai_assistant.predict_failures(
            system_metrics=system_metrics,
            backup_history=await self.get_backup_history(),
            environmental_factors=await self.get_system_health()
        )

        # Proactive remediation for high-risk scenarios
        for prediction in failure_prediction.high_risk_scenarios:
            if prediction.confidence_score > 0.75:
                await self.apim.execute_temporal_workflow({
                    "workflow": "preventive_backup_maintenance",
                    "parameters": {
                        "target_system": prediction.affected_system,
                        "remediation_actions": prediction.recommended_actions,
                        "urgency": prediction.urgency_level
                    }
                })

        return failure_prediction

class ComplianceReporting:
    async def generate_compliance_report(self, framework: str, period: str):
        """Generate compliance report for specified framework"""
        report_request = {
            "workflow": "compliance_report_generation",
            "parameters": {
                "compliance_framework": framework,
                "reporting_period": period,
                "include_metrics": True,
                "include_exceptions": True,
                "include_remediation_plans": True
            }
        }

        response = await self.apim.execute_temporal_workflow(report_request)
        return response.compliance_report

    async def audit_backup_policies(self, audit_scope: dict):
        """Audit backup policies for compliance"""
        audit_request = {
            "workflow": "backup_policy_audit",
            "parameters": {
                "audit_scope": audit_scope,
                "compliance_standards": audit_scope.get("standards"),
                "automated_remediation": True,
                "generate_findings_report": True
            }
        }

        return await self.apim.execute_temporal_workflow(audit_request)