"""
Autoscaler Agent

Manages auto-scaling policies for applications and infrastructure
across Kubernetes HPA, AWS Auto Scaling, GCP Autoscaler, and Azure VMSS.
"""

from typing import Any, Dict, List
from agents.base import BaseAgent


class AutoscalerAgent(BaseAgent):
    """Manages auto-scaling policies and configurations."""

    def __init__(self):
        super().__init__(
            name='autoscaler',
            description='Manage auto-scaling policies for applications and infrastructure',
            category='devops',
            version='1.0.0',
            tags=['autoscaling', 'scaling', 'kubernetes', 'hpa', 'performance', 'capacity']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Manage auto-scaling.

        Args:
            params: {
                'action': 'create|update|delete|status|scale',
                'platform': 'kubernetes-hpa|aws-asg|gcp-autoscaler|azure-vmss',
                'target': 'deployment/app|asg-name|instance-group',
                'min_replicas': 2,
                'max_replicas': 10,
                'target_cpu_percent': 70,
                'target_memory_percent': 80,
                'custom_metrics': [
                    {'name': 'requests_per_second', 'target': 1000}
                ],
                'scale_up_policy': {
                    'cooldown_seconds': 300,
                    'adjustment': 2
                },
                'scale_down_policy': {
                    'cooldown_seconds': 600,
                    'adjustment': -1
                },
                'desired_replicas': 5
            }

        Returns:
            {
                'status': 'success',
                'current_replicas': 5,
                'desired_replicas': 5,
                'scaling_activity': [...]
            }
        """
        action = params.get('action', 'create')
        platform = params.get('platform', 'kubernetes-hpa')
        target = params.get('target')
        min_replicas = params.get('min_replicas', 2)
        max_replicas = params.get('max_replicas', 10)

        self.logger.info(
            f"Autoscaling {action} on {platform} for target: {target}"
        )

        result = {
            'status': 'success',
            'action': action,
            'platform': platform,
            'target': target,
            'timestamp': '2025-11-16T00:00:00Z'
        }

        if action in ['create', 'update']:
            result.update({
                'autoscaler_id': f'{platform}-{target}',
                'min_replicas': min_replicas,
                'max_replicas': max_replicas,
                'current_replicas': params.get('desired_replicas', 3),
                'desired_replicas': params.get('desired_replicas', 3),
                'target_cpu_percent': params.get('target_cpu_percent', 70),
                'target_memory_percent': params.get('target_memory_percent', 80),
                'custom_metrics': params.get('custom_metrics', []),
                'scale_up_policy': params.get('scale_up_policy', {
                    'cooldown_seconds': 300,
                    'adjustment': 2
                }),
                'scale_down_policy': params.get('scale_down_policy', {
                    'cooldown_seconds': 600,
                    'adjustment': -1
                }),
                'enabled': True,
                'last_scaling_event': '2025-11-16T09:30:00Z'
            })

        if action == 'status':
            result.update({
                'autoscaler_id': f'{platform}-{target}',
                'current_replicas': 5,
                'desired_replicas': 5,
                'min_replicas': min_replicas,
                'max_replicas': max_replicas,
                'current_metrics': {
                    'cpu_percent': 65,
                    'memory_percent': 72,
                    'requests_per_second': 850
                },
                'scaling_status': 'stable',
                'last_scaling_event': {
                    'timestamp': '2025-11-16T09:30:00Z',
                    'action': 'scale_up',
                    'from_replicas': 3,
                    'to_replicas': 5,
                    'reason': 'CPU utilization above target (85% > 70%)'
                },
                'recent_activities': [
                    {
                        'timestamp': '2025-11-16T09:30:00Z',
                        'action': 'scale_up',
                        'from': 3,
                        'to': 5,
                        'reason': 'CPU high'
                    },
                    {
                        'timestamp': '2025-11-16T08:45:00Z',
                        'action': 'scale_down',
                        'from': 4,
                        'to': 3,
                        'reason': 'CPU low'
                    }
                ]
            })

        if action == 'scale':
            desired = params.get('desired_replicas', 5)
            result.update({
                'autoscaler_id': f'{platform}-{target}',
                'current_replicas': 3,
                'desired_replicas': desired,
                'scaling_initiated': True,
                'scaling_status': 'in_progress',
                'estimated_completion_seconds': 45
            })

        if action == 'delete':
            result.update({
                'autoscaler_id': f'{platform}-{target}',
                'deleted': True,
                'final_replica_count': params.get('desired_replicas', 3)
            })

        return result

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate autoscaling parameters."""
        if 'target' not in params:
            self.logger.error("Missing required field: target")
            return False

        valid_platforms = ['kubernetes-hpa', 'aws-asg', 'gcp-autoscaler', 'azure-vmss']
        platform = params.get('platform', 'kubernetes-hpa')
        if platform not in valid_platforms:
            self.logger.error(f"Invalid platform: {platform}")
            return False

        valid_actions = ['create', 'update', 'delete', 'status', 'scale']
        action = params.get('action', 'create')
        if action not in valid_actions:
            self.logger.error(f"Invalid action: {action}")
            return False

        if action in ['create', 'update']:
            min_reps = params.get('min_replicas', 1)
            max_reps = params.get('max_replicas', 10)
            if min_reps > max_reps:
                self.logger.error("min_replicas cannot be greater than max_replicas")
                return False

        return True
