"""
Workflow Optimizer Agent

Analyzes and optimizes business workflows using process mining,
bottleneck detection, and AI-driven efficiency recommendations.
"""

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


class WorkflowOptimizerAgent(BaseAgent):
    """
    Optimizes business workflows and processes.

    Features:
    - Process mining
    - Bottleneck detection
    - Efficiency analysis
    - Automation opportunities
    - Resource optimization
    - Performance tracking
    """

    def __init__(self):
        super().__init__(
            name='workflow-optimizer',
            description='Optimize business workflows using AI-driven analysis',
            category='business',
            version='1.0.0',
            tags=['workflow', 'optimization', 'efficiency', 'automation', 'process']
        )

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

        Args:
            params: {
                'workflow_id': str,
                'analysis_type': 'bottleneck|efficiency|automation|full',
                'time_period': Dict,
                'options': {
                    'identify_automation': bool,
                    'calculate_roi': bool,
                    'suggest_improvements': bool,
                    'benchmark_industry': bool
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'workflow_analysis': Dict,
                'optimizations': List[Dict],
                'recommendations': List[str]
            }
        """
        workflow_id = params.get('workflow_id')
        analysis_type = params.get('analysis_type', 'full')
        options = params.get('options', {})

        self.logger.info(f"Analyzing workflow for optimization: {analysis_type}")

        # Mock workflow data
        workflow = {
            'id': workflow_id or 'WF-SALES-001',
            'name': 'Lead to Customer Conversion',
            'category': 'Sales',
            'description': 'Process from lead capture to closed customer',
            'total_steps': 12,
            'manual_steps': 7,
            'automated_steps': 5,
            'avg_completion_time_days': 45,
            'target_completion_time_days': 30,
            'monthly_volume': 234,
            'completion_rate': 0.68,
            'steps': [
                {
                    'step': 1,
                    'name': 'Lead Capture',
                    'type': 'automated',
                    'avg_duration_hours': 0.1,
                    'volume': 234,
                    'success_rate': 1.0,
                    'bottleneck': False
                },
                {
                    'step': 2,
                    'name': 'Lead Scoring',
                    'type': 'automated',
                    'avg_duration_hours': 0.5,
                    'volume': 234,
                    'success_rate': 1.0,
                    'bottleneck': False
                },
                {
                    'step': 3,
                    'name': 'Lead Assignment',
                    'type': 'automated',
                    'avg_duration_hours': 1.0,
                    'volume': 234,
                    'success_rate': 1.0,
                    'bottleneck': False
                },
                {
                    'step': 4,
                    'name': 'Initial Contact',
                    'type': 'manual',
                    'avg_duration_hours': 48.0,
                    'volume': 234,
                    'success_rate': 0.85,
                    'bottleneck': True,
                    'bottleneck_reason': 'High wait time, manual process'
                },
                {
                    'step': 5,
                    'name': 'Qualification Call',
                    'type': 'manual',
                    'avg_duration_hours': 72.0,
                    'volume': 199,
                    'success_rate': 0.78,
                    'bottleneck': True,
                    'bottleneck_reason': 'Scheduling delays'
                },
                {
                    'step': 6,
                    'name': 'Needs Assessment',
                    'type': 'manual',
                    'avg_duration_hours': 24.0,
                    'volume': 155,
                    'success_rate': 0.95,
                    'bottleneck': False
                },
                {
                    'step': 7,
                    'name': 'Proposal Creation',
                    'type': 'manual',
                    'avg_duration_hours': 120.0,
                    'volume': 147,
                    'success_rate': 1.0,
                    'bottleneck': True,
                    'bottleneck_reason': 'Manual document creation'
                },
                {
                    'step': 8,
                    'name': 'Proposal Review',
                    'type': 'manual',
                    'avg_duration_hours': 96.0,
                    'volume': 147,
                    'success_rate': 0.92,
                    'bottleneck': True,
                    'bottleneck_reason': 'Approval delays'
                },
                {
                    'step': 9,
                    'name': 'Negotiation',
                    'type': 'manual',
                    'avg_duration_hours': 168.0,
                    'volume': 135,
                    'success_rate': 0.82,
                    'bottleneck': True,
                    'bottleneck_reason': 'Multiple stakeholders'
                },
                {
                    'step': 10,
                    'name': 'Contract Generation',
                    'type': 'automated',
                    'avg_duration_hours': 2.0,
                    'volume': 111,
                    'success_rate': 1.0,
                    'bottleneck': False
                },
                {
                    'step': 11,
                    'name': 'Legal Review',
                    'type': 'manual',
                    'avg_duration_hours': 120.0,
                    'volume': 111,
                    'success_rate': 0.95,
                    'bottleneck': True,
                    'bottleneck_reason': 'Limited legal resources'
                },
                {
                    'step': 12,
                    'name': 'Contract Signing',
                    'type': 'automated',
                    'avg_duration_hours': 24.0,
                    'volume': 105,
                    'success_rate': 0.98,
                    'bottleneck': False
                }
            ]
        }

        # Mock bottleneck analysis
        bottlenecks = [
            {
                'step': 'Proposal Creation',
                'severity': 'high',
                'impact_hours': 120,
                'impact_percentage': 13.3,
                'affected_volume': 147,
                'root_causes': [
                    'Manual document creation',
                    'Custom proposals for each client',
                    'No template standardization'
                ],
                'estimated_delay_cost': '$45,000/month',
                'automation_potential': 'high'
            },
            {
                'step': 'Negotiation',
                'severity': 'high',
                'impact_hours': 168,
                'impact_percentage': 18.7,
                'affected_volume': 135,
                'root_causes': [
                    'Multiple stakeholder approvals',
                    'Back-and-forth communication',
                    'Pricing authority limits'
                ],
                'estimated_delay_cost': '$38,000/month',
                'automation_potential': 'medium'
            },
            {
                'step': 'Legal Review',
                'severity': 'high',
                'impact_hours': 120,
                'impact_percentage': 13.3,
                'affected_volume': 111,
                'root_causes': [
                    'Limited legal team capacity',
                    'Manual contract review',
                    'Backlogs during peak periods'
                ],
                'estimated_delay_cost': '$32,000/month',
                'automation_potential': 'high'
            },
            {
                'step': 'Qualification Call',
                'severity': 'medium',
                'impact_hours': 72,
                'impact_percentage': 8.0,
                'affected_volume': 199,
                'root_causes': [
                    'Calendar scheduling delays',
                    'Multiple reschedules',
                    'No-shows'
                ],
                'estimated_delay_cost': '$24,000/month',
                'automation_potential': 'high'
            }
        ]

        # Mock optimization opportunities
        optimizations = [
            {
                'id': 'OPT-001',
                'title': 'Automate Proposal Generation',
                'category': 'automation',
                'target_step': 'Proposal Creation',
                'description': 'Implement template-based proposal generation with auto-population',
                'impact': {
                    'time_saved_hours': 96,
                    'time_reduction_percentage': 0.80,
                    'affected_volume': 147,
                    'total_time_saved_monthly': 14112,  # hours
                    'cost_savings_monthly': 36000
                },
                'implementation': {
                    'effort': 'medium',
                    'duration_weeks': 4,
                    'cost': 25000,
                    'roi_months': 0.7
                },
                'priority': 'high'
            },
            {
                'id': 'OPT-002',
                'title': 'Implement AI Contract Review',
                'category': 'automation',
                'target_step': 'Legal Review',
                'description': 'Use AI to pre-review contracts and flag only issues needing legal attention',
                'impact': {
                    'time_saved_hours': 84,
                    'time_reduction_percentage': 0.70,
                    'affected_volume': 111,
                    'total_time_saved_monthly': 9324,
                    'cost_savings_monthly': 28000
                },
                'implementation': {
                    'effort': 'high',
                    'duration_weeks': 8,
                    'cost': 50000,
                    'roi_months': 1.8
                },
                'priority': 'high'
            },
            {
                'id': 'OPT-003',
                'title': 'Auto-Schedule Qualification Calls',
                'category': 'automation',
                'target_step': 'Qualification Call',
                'description': 'Implement AI scheduling assistant for automatic call booking',
                'impact': {
                    'time_saved_hours': 48,
                    'time_reduction_percentage': 0.67,
                    'affected_volume': 199,
                    'total_time_saved_monthly': 9552,
                    'cost_savings_monthly': 18000
                },
                'implementation': {
                    'effort': 'low',
                    'duration_weeks': 2,
                    'cost': 8000,
                    'roi_months': 0.4
                },
                'priority': 'high'
            },
            {
                'id': 'OPT-004',
                'title': 'Streamline Negotiation Process',
                'category': 'process_improvement',
                'target_step': 'Negotiation',
                'description': 'Define pricing authority matrix and pre-approved discount ranges',
                'impact': {
                    'time_saved_hours': 72,
                    'time_reduction_percentage': 0.43,
                    'affected_volume': 135,
                    'total_time_saved_monthly': 9720,
                    'cost_savings_monthly': 22000
                },
                'implementation': {
                    'effort': 'low',
                    'duration_weeks': 1,
                    'cost': 5000,
                    'roi_months': 0.2
                },
                'priority': 'medium'
            },
            {
                'id': 'OPT-005',
                'title': 'Parallel Processing for Approvals',
                'category': 'process_improvement',
                'target_step': 'Proposal Review',
                'description': 'Enable parallel approvals instead of sequential',
                'impact': {
                    'time_saved_hours': 48,
                    'time_reduction_percentage': 0.50,
                    'affected_volume': 147,
                    'total_time_saved_monthly': 7056,
                    'cost_savings_monthly': 15000
                },
                'implementation': {
                    'effort': 'low',
                    'duration_weeks': 1,
                    'cost': 3000,
                    'roi_months': 0.2
                },
                'priority': 'medium'
            }
        ]

        # Mock efficiency metrics
        efficiency_metrics = {
            'current_state': {
                'avg_cycle_time_days': 45,
                'throughput_monthly': 105,
                'conversion_rate': 0.45,
                'manual_effort_hours': 648,
                'automation_rate': 0.42,
                'cost_per_conversion': 1524
            },
            'optimized_state': {
                'avg_cycle_time_days': 22,
                'throughput_monthly': 156,
                'conversion_rate': 0.58,
                'manual_effort_hours': 234,
                'automation_rate': 0.76,
                'cost_per_conversion': 687
            },
            'improvements': {
                'cycle_time_reduction': 0.51,
                'throughput_increase': 0.49,
                'conversion_increase': 0.29,
                'effort_reduction': 0.64,
                'automation_increase': 0.34,
                'cost_reduction': 0.55
            }
        }

        # Mock ROI analysis
        roi_analysis = {
            'total_implementation_cost': 91000,
            'monthly_savings': 119000,
            'annual_savings': 1428000,
            'payback_period_months': 0.76,
            'roi_1_year': 1469,  # percentage
            'roi_3_year': 4606,
            'intangible_benefits': [
                'Improved customer experience',
                'Higher sales team morale',
                'Better data quality',
                'Scalability for growth'
            ]
        }

        # Mock industry benchmarks
        industry_benchmarks = {
            'industry': 'B2B SaaS',
            'company_size': 'Mid-market',
            'metrics': {
                'avg_sales_cycle_days': {
                    'company': 45,
                    'industry_median': 35,
                    'industry_top_quartile': 25,
                    'gap_to_median': 10,
                    'gap_to_top': 20
                },
                'conversion_rate': {
                    'company': 0.45,
                    'industry_median': 0.52,
                    'industry_top_quartile': 0.65,
                    'gap_to_median': -0.07,
                    'gap_to_top': -0.20
                },
                'automation_rate': {
                    'company': 0.42,
                    'industry_median': 0.68,
                    'industry_top_quartile': 0.82,
                    'gap_to_median': -0.26,
                    'gap_to_top': -0.40
                }
            },
            'position': 'Below median - significant improvement opportunity'
        }

        # Mock implementation roadmap
        roadmap = {
            'phase_1': {
                'duration': '1-2 months',
                'optimizations': ['OPT-003', 'OPT-004', 'OPT-005'],
                'investment': 16000,
                'expected_savings_monthly': 55000,
                'priority': 'Quick wins'
            },
            'phase_2': {
                'duration': '3-4 months',
                'optimizations': ['OPT-001'],
                'investment': 25000,
                'expected_savings_monthly': 36000,
                'priority': 'High impact'
            },
            'phase_3': {
                'duration': '5-8 months',
                'optimizations': ['OPT-002'],
                'investment': 50000,
                'expected_savings_monthly': 28000,
                'priority': 'Strategic'
            }
        }

        return {
            'status': 'success',
            'workflow': workflow,
            'analysis_type': analysis_type,
            'bottlenecks': bottlenecks,
            'total_bottlenecks': len(bottlenecks),
            'optimizations': optimizations,
            'total_optimizations': len(optimizations),
            'efficiency_metrics': efficiency_metrics,
            'roi_analysis': roi_analysis if options.get('calculate_roi') else None,
            'industry_benchmarks': industry_benchmarks if options.get('benchmark_industry') else None,
            'implementation_roadmap': roadmap,
            'automation_opportunities': [
                opt for opt in optimizations
                if opt['category'] == 'automation'
            ] if options.get('identify_automation') else None,
            'quick_wins': [
                opt for opt in optimizations
                if opt['implementation']['effort'] == 'low'
            ],
            'priority_summary': {
                'high_priority': len([o for o in optimizations if o['priority'] == 'high']),
                'medium_priority': len([o for o in optimizations if o['priority'] == 'medium']),
                'total_potential_savings_monthly': sum(o['impact']['cost_savings_monthly'] for o in optimizations)
            },
            'recommendations': [
                'Start with quick wins: OPT-003, OPT-004, OPT-005 (ROI < 1 month)',
                'Implement proposal automation (OPT-001) - highest impact',
                'AI contract review (OPT-002) addresses critical legal bottleneck',
                'Automate scheduling to reduce qualification delays by 67%',
                'Define pricing authority to speed up negotiations',
                'Enable parallel approvals for faster turnaround',
                'Current cycle time (45 days) is 29% slower than industry median',
                'Automation rate (42%) is significantly below industry (68%)',
                'Full implementation could reduce cycle time by 51% to 22 days',
                'Expected ROI of 1,469% in first year'
            ],
            'next_steps': [
                'Present optimization plan to leadership for approval',
                'Prioritize Phase 1 quick wins for immediate implementation',
                'Allocate $16K budget for Phase 1 initiatives',
                'Form cross-functional optimization team',
                'Set up workflow metrics dashboard',
                'Begin vendor evaluation for proposal automation',
                'Schedule stakeholder workshops for process redesign',
                'Define KPIs and success metrics',
                'Create 90-day implementation timeline',
                'Plan change management and training'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate workflow optimization parameters."""
        valid_analysis_types = [
            'bottleneck', 'efficiency', 'automation', 'full'
        ]

        analysis_type = params.get('analysis_type')
        if analysis_type and analysis_type not in valid_analysis_types:
            self.logger.error(f"Invalid analysis type: {analysis_type}")
            return False

        return True
