"""
Cost Optimizer Agent

Analyzes and optimizes cloud costs across AWS, GCP, and Azure.
Identifies savings opportunities, rightsizing, and unused resources.
"""

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


class CostOptimizerAgent(BaseAgent):
    """Optimizes cloud infrastructure costs."""

    def __init__(self):
        super().__init__(
            name='cost-optimizer',
            description='Optimize cloud costs and identify savings opportunities',
            category='devops',
            version='1.0.0',
            tags=['cost', 'optimization', 'finops', 'cloud', 'savings', 'budget']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Analyze and optimize costs.

        Args:
            params: {
                'action': 'analyze|optimize|report|budget|forecast',
                'cloud_provider': 'aws|gcp|azure|multi-cloud',
                'time_range': {
                    'start': '2025-10-01',
                    'end': '2025-11-16'
                },
                'services': ['ec2', 's3', 'rds', 'lambda'],  # or 'all'
                'optimization_targets': {
                    'rightsizing': true,
                    'reserved_instances': true,
                    'unused_resources': true,
                    'storage_optimization': true,
                    'commitment_discounts': true
                },
                'constraints': {
                    'max_downtime_minutes': 5,
                    'performance_threshold': 0.95,
                    'auto_apply': false
                },
                'budget': {
                    'monthly_limit_usd': 10000,
                    'alert_threshold_percent': 80
                }
            }

        Returns:
            {
                'status': 'success',
                'current_monthly_cost': 12345.67,
                'potential_savings': 2345.67,
                'recommendations': [...]
            }
        """
        action = params.get('action', 'analyze')
        provider = params.get('cloud_provider', 'aws')
        services = params.get('services', ['all'])
        optimization_targets = params.get('optimization_targets', {})

        self.logger.info(
            f"Cost optimization {action} on {provider} (services: {', '.join(services)})"
        )

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

        if action == 'analyze':
            result.update({
                'current_monthly_cost': 12_345.67,
                'last_month_cost': 11_234.56,
                'cost_change_percent': 9.9,
                'cost_trend': 'increasing',
                'potential_savings': 2_345.67,
                'savings_percent': 19.0,
                'cost_by_service': {
                    'ec2': {'cost': 5_432.10, 'percent': 44.0},
                    's3': {'cost': 1_234.56, 'percent': 10.0},
                    'rds': {'cost': 3_456.78, 'percent': 28.0},
                    'lambda': {'cost': 234.56, 'percent': 1.9},
                    'other': {'cost': 1_987.67, 'percent': 16.1}
                },
                'cost_by_region': {
                    'us-east-1': 6_789.01,
                    'us-west-2': 3_456.78,
                    'eu-west-1': 2_099.88
                },
                'cost_by_environment': {
                    'production': 8_641.98,
                    'staging': 2_469.14,
                    'development': 1_234.55
                },
                'unused_resources_cost': 876.54,
                'waste_percent': 7.1
            })

        if action == 'optimize':
            recommendations = [
                {
                    'id': 'rec-001',
                    'type': 'rightsizing',
                    'resource': 'i-0123456789abcdef0',
                    'service': 'ec2',
                    'current': 't3.xlarge',
                    'recommended': 't3.large',
                    'reason': 'Average CPU utilization: 15%',
                    'monthly_savings': 45.60,
                    'annual_savings': 547.20,
                    'risk': 'low',
                    'impact': 'minimal'
                },
                {
                    'id': 'rec-002',
                    'type': 'unused_resource',
                    'resource': 'vol-0123456789abcdef0',
                    'service': 'ebs',
                    'current': 'unattached volume (500GB)',
                    'recommended': 'delete or snapshot',
                    'reason': 'Unattached for 90 days',
                    'monthly_savings': 50.00,
                    'annual_savings': 600.00,
                    'risk': 'low',
                    'impact': 'none'
                },
                {
                    'id': 'rec-003',
                    'type': 'reserved_instance',
                    'resource': 'ec2-fleet',
                    'service': 'ec2',
                    'current': 'on-demand',
                    'recommended': '1-year reserved instance',
                    'reason': 'Consistent usage pattern',
                    'monthly_savings': 234.56,
                    'annual_savings': 2_814.72,
                    'upfront_cost': 5_000.00,
                    'risk': 'medium',
                    'impact': 'none'
                }
            ]

            result.update({
                'recommendations': recommendations,
                'total_recommendations': len(recommendations),
                'total_monthly_savings': sum(r['monthly_savings'] for r in recommendations),
                'total_annual_savings': sum(r['annual_savings'] for r in recommendations),
                'by_category': {
                    'rightsizing': {'count': 5, 'savings': 456.78},
                    'unused_resources': {'count': 8, 'savings': 876.54},
                    'reserved_instances': {'count': 3, 'savings': 1_012.35}
                },
                'auto_apply_enabled': params.get('constraints', {}).get('auto_apply', False),
                'applied_recommendations': [] if not params.get('constraints', {}).get('auto_apply') else ['rec-002']
            })

        if action == 'report':
            result.update({
                'report_period': params.get('time_range', {}),
                'executive_summary': {
                    'total_spend': 12_345.67,
                    'budget_variance': 2_345.67,
                    'budget_variance_percent': 23.5,
                    'top_cost_drivers': ['ec2', 'rds', 's3'],
                    'optimization_opportunities': 16,
                    'potential_savings': 2_345.67
                },
                'trends': {
                    'daily_average': 411.52,
                    'weekly_trend': 'increasing',
                    'projected_month_end': 13_500.00
                },
                'anomalies': [
                    {
                        'date': '2025-11-10',
                        'service': 'ec2',
                        'expected_cost': 180.00,
                        'actual_cost': 456.78,
                        'variance_percent': 153.8,
                        'reason': 'New instance launched'
                    }
                ],
                'tag_compliance': {
                    'total_resources': 234,
                    'tagged_resources': 189,
                    'compliance_rate': 80.8,
                    'untagged_cost': 1_234.56
                }
            })

        if action == 'budget':
            budget_config = params.get('budget', {})
            result.update({
                'budget_name': 'Monthly Cloud Budget',
                'monthly_limit_usd': budget_config.get('monthly_limit_usd', 10_000),
                'current_spend': 8_246.78,
                'remaining_budget': 1_753.22,
                'budget_used_percent': 82.5,
                'alert_threshold_percent': budget_config.get('alert_threshold_percent', 80),
                'alerts_triggered': True,
                'projected_month_end_spend': 13_500.00,
                'projected_overage': 3_500.00,
                'budget_status': 'at_risk',
                'recommendations': [
                    'Stop non-production resources outside business hours',
                    'Review recent ec2 instance launches',
                    'Implement auto-shutdown for dev environments'
                ]
            })

        if action == 'forecast':
            result.update({
                'forecast_period': '2025-12-01 to 2025-12-31',
                'forecast_method': 'machine_learning',
                'predicted_monthly_cost': 13_234.56,
                'confidence_interval': {
                    'low': 12_456.78,
                    'high': 14_123.45
                },
                'confidence_level': 0.95,
                'trend_factors': {
                    'historical_growth_rate': 8.5,
                    'seasonal_adjustment': 1.05,
                    'planned_changes_impact': 500.00
                },
                'by_service_forecast': {
                    'ec2': 5_789.01,
                    's3': 1_345.67,
                    'rds': 3_678.90,
                    'lambda': 256.78,
                    'other': 2_164.20
                },
                'cost_drivers': [
                    'Expected traffic increase: +15%',
                    'New staging environment: +$500/month',
                    'Seasonal peak in December'
                ]
            })

        return result

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate cost optimization parameters."""
        valid_providers = ['aws', 'gcp', 'azure', 'multi-cloud']
        provider = params.get('cloud_provider', 'aws')
        if provider not in valid_providers:
            self.logger.error(f"Invalid cloud_provider: {provider}")
            return False

        valid_actions = ['analyze', 'optimize', 'report', 'budget', 'forecast']
        action = params.get('action', 'analyze')
        if action not in valid_actions:
            self.logger.error(f"Invalid action: {action}")
            return False

        return True
