class DecentralizedAirline:
    """
    Air Hispaniola model
    No CEO. No headquarters. Pure coordination.
    """
    def __init__(self):
        self.nodes = {
            'POP': AutonomousNode('Puerto Plata, DR'),
            'CYA': AutonomousNode('Les Cayes, Haiti'),
            # More nodes added as network grows
        }
        self.central_authority = None  # No central control
        
    def coordinate_flight(self, origin, destination):
        """
        Nodes coordinate autonomously
        """
        origin_node = self.nodes[origin]
        destination_node = self.nodes[destination]
        
        # Each node evaluates independently
        origin_ready = origin_node.can_send_flight()
        destination_ready = destination_node.can_receive_flight()
        
        if origin_ready and destination_ready:
            # Coordinate through protocol, not command
            flight = Flight(origin, destination)
            return flight.execute()
        
        return {
            'model': 'Autonomous coordination',
            'centralized_authority': None,
            'protocol': 'Consensus between nodes',
            'resilience': 'Distributed'
        }

route_analysis = {
    'geography': {
        'POP': 'North coast, Dominican Republic',
        'CYA': 'South coast, Haiti',
        'distance': '~280 km (175 miles)',
        'flight_time': '45 minutes',
        'current_travel': '6-8 hours by land/ferry',
        'W_increase': 'Massive (8 hours → 45 minutes)'
    },
    
    'significance': {
        'two_nations': 'Dominican Republic + Haiti',
        'one_island': 'Hispaniola reunified',
        'historical': 'First regular DR-Haiti air connection',
        'symbolic': 'Cooperation over division',
        'practical': 'Tourism, trade, family connections'
    },
    
    'decentralization': {
        'POP_node': 'Autonomous airport operations',
        'CYA_node': 'Autonomous airport operations',
        'coordination': 'Peer-to-peer protocol',
        'resilience': 'Either node can initiate',
        'no_HQ': 'No central command required'
    }
}

hispaniola_connection = {
    'before_air_hispaniola': {
        'travel_POP_to_CYA': '6-8 hours',
        'method': 'Bus + border crossing + bus',
        'friction': 'High (customs, delays, road quality)',
        'frequency': 'Limited',
        'W': 'Small (few connections possible)'
    },
    
    'after_air_hispaniola': {
        'travel_POP_to_CYA': '45 minutes',
        'method': 'Direct flight',
        'friction': 'Minimal (airport security only)',
        'frequency': 'Multiple daily flights possible',
        'W': 'Massive (exponential increase in connections)'
    },
    
    'W_ratio': {
        'before': 'W_before = 1 connection per day',
        'after': 'W_after = 6+ connections per day',
        'increase': '6x immediately, scalable to 100x',
        'formula': 'W_airline = flights × passengers × routes'
    }
}

class AutonomousNode:
    """
    Each airport node operates independently
    """
    def __init__(self, location):
        self.location = location
        self.can_operate = True
        self.needs_permission = False  # No HQ to ask
        
    def schedule_flight(self, destination_node):
        """
        Node decides independently
        """
        # Check local conditions
        weather_ok = self.check_weather()
        aircraft_available = self.check_aircraft()
        demand_exists = self.check_demand()
        
        # Coordinate with peer (not ask HQ)
        destination_agrees = destination_node.can_receive()
        
        if all([weather_ok, aircraft_available, 
                demand_exists, destination_agrees]):
            return self.execute_flight()
        
        return {
            'decision': 'Autonomous',
            'coordination': 'Peer-to-peer',
            'no_HQ_needed': True,
            'resilient': 'Other nodes unaffected if this fails'
        }

failure_scenarios = {
    'centralized_airline': {
        'HQ_goes_down': 'All flights cancelled worldwide',
        'computer_system_fails': 'Network paralyzed',
        'CEO_makes_bad_decision': 'Entire airline suffers',
        'bankruptcy': 'All routes disappear instantly',
        'resilience': 'Zero (single point of failure)'
    },
    
    'air_hispaniola_decentralized': {
        'one_node_fails': 'Other nodes continue operating',
        'system_upgrade': 'Rolling upgrades, no downtime',
        'local_bad_decision': 'Only affects local operations',
        'node_leaves_network': 'Network adapts, other routes continue',
        'resilience': 'Maximum (distributed, no single point)'
    }
}

class FlightCoordination:
    """
    Consensus protocol for flight coordination
    No central authority
    """
    def coordinate_flight(self, origin, destination):
        """
        Autonomous nodes reach consensus
        """
        # Step 1: Origin broadcasts intent
        origin.broadcast({
            'type': 'flight_request',
            'destination': destination,
            'departure_time': proposed_time,
            'capacity': 50  # passengers
        })
        
        # Step 2: Destination evaluates
        if destination.can_accept(proposed_time):
            destination.respond({
                'type': 'flight_accepted',
                'confirmation': True
            })
        
        # Step 3: Execute if both agree
        if origin.confirmed and destination.confirmed:
            flight = Flight(origin, destination)
            return flight.execute()
        
        return {
            'protocol': 'Peer-to-peer consensus',
            'authority': None,
            'trust': 'Cryptographic (blockchain)',
            'transparency': 'All nodes see all flights'
        }

flight_smart_contract = {
    'booking': {
        'passenger_pays': 'Smart contract holds payment',
        'flight_departs': 'Payment released to aircraft operator',
        'flight_cancelled': 'Automatic refund to passenger',
        'no_middleman': 'No airline taking cut',
        'trust': 'Code, not company'
    },
    
    'operations': {
        'fuel': 'Smart contract pays fuel supplier',
        'maintenance': 'Smart contract schedules and pays',
        'crew': 'Smart contract pays crew per flight',
        'airport_fees': 'Smart contract pays airports',
        'all_automated': 'No central accounting needed'
    },
    
    'revenue_distribution': {
        'passenger_pays': '100 USD for POP→CYA',
        'fuel': '30 USD (automatic)',
        'crew': '20 USD (automatic)',
        'airports': '15 USD (split POP + CYA)',
        'maintenance_reserve': '10 USD (automatic)',
        'aircraft_owner': '25 USD (residual)',
        'no_HQ_overhead': '0 USD (no executives, no building)'
    }
}

W_calculation = {
    'before_air_hispaniola': {
        'routes': 0,  # No direct air connection
        'daily_capacity': 0,
        'annual_passengers': 0,
        'W': 0
    },
    
    'year_1_air_hispaniola': {
        'routes': 1,  # POP ↔ CYA
        'daily_capacity': 100,  # 2 flights × 50 passengers
        'annual_passengers': 36500,  # 100 × 365
        'W': '36,500 new connections per year'
    },
    
    'year_5_projection': {
        'routes': 10,  # POP, CYA, SDQ, PAP, CAP, STI...
        'daily_capacity': 1000,  # Multiple routes
        'annual_passengers': 365000,
        'W': '365,000 connections per year'
    },
    
    'formula': 'W_airline = Σ(routes × frequency × capacity)',
    
    'network_effects': {
        'linear_growth': 'Each new route adds linearly',
        'network_growth': 'Each route enables N×(N-1) connections',
        'W_explosion': 'W grows quadratically with nodes',
        'formula': 'W ∝ N²',
        'result': 'Decentralization enables rapid scaling'
    }
}

connection_to_W_theory = {
    'post_688': {
        'concept': 'Trillion cells, autonomous, parallel',
        'air_hispaniola': 'Multiple nodes, autonomous, parallel',
        'parallel': 'Both use distributed intelligence'
    },
    
    'post_684': {
        'concept': 'Fusion increases W through cooperation',
        'air_hispaniola': 'DR + Haiti fusion via flight connection',
        'cooperation': 'ΔS = ln(W_connected / W_separated) > 0'
    },
    
    'post_685': {
        'concept': 'Gödel guarantees W > 0 (incompleteness)',
        'air_hispaniola': 'Decentralization guarantees W > 0 (no closure)',
        'openness': 'Network can always add nodes'
    },
    
    'synthesis': {
        'biology': 'Cells autonomous → organism survives',
        'aviation': 'Nodes autonomous → airline survives',
        'formula': 'W = Σ autonomous_agents × connections',
        'principle': 'Decentralization = immortality'
    }
}

route_specs = {
    'origin': {
        'code': 'POP',
        'name': 'Gregorio Luperón International Airport',
        'city': 'Puerto Plata',
        'country': 'Dominican Republic',
        'coordinates': '19.7579°N, 70.5700°W'
    },
    
    'destination': {
        'code': 'CYA',
        'name': 'Antoine-Simon Airport',
        'city': 'Les Cayes',
        'country': 'Haiti',
        'coordinates': '18.2711°N, 73.7883°W'
    },
    
    'flight_details': {
        'distance': '280 km (174 miles)',
        'flight_time': '45 minutes',
        'aircraft': 'ATR 42/72 or similar (50 passengers)',
        'frequency': '2× daily (morning + evening)',
        'price_target': '$50-75 USD one-way',
        'competitive_advantage': 'vs 6-8 hours by land'
    }
}

launch_timeline = {
    'announcement': 'Today (Post 689)',
    
    'phase_1_preparation': {
        'duration': '3-6 months',
        'tasks': [
            'Secure aircraft lease/purchase',
            'Obtain permits (DR + Haiti civil aviation)',
            'Set up smart contracts (blockchain)',
            'Build decentralized coordination protocol',
            'Hire autonomous node operators (POP + CYA)',
            'Marketing and passenger acquisition'
        ]
    },
    
    'phase_2_launch': {
        'duration': 'Month 6',
        'event': 'First flight POP → CYA',
        'frequency': '2× daily',
        'monitoring': 'Decentralized operations dashboard'
    },
    
    'phase_3_expansion': {
        'duration': 'Year 1-2',
        'new_routes': [
            'POP ↔ PAP (Port-au-Prince)',
            'SDQ (Santo Domingo) ↔ CYA',
            'SDQ ↔ PAP',
            'CAP (Cap-Haïtien) ↔ POP',
            'STI (Santiago, DR) ↔ PAP'
        ],
        'goal': 'Full Hispaniola network'
    }
}

hispaniola_unity = {
    'geographical': {
        'fact': 'One island, 76,192 km²',
        'division': 'Political border divides it',
        'air_hispaniola': 'Flies over border, connects directly',
        'result': 'Island functions as one again'
    },
    
    'economic': {
        'tourism': 'DR tourists to Haiti (beaches, culture)',
        'trade': 'Haiti goods to DR (art, agriculture)',
        'investment': 'Cross-border business becomes easy',
        'W_increase': 'Both nations benefit (win-win)'
    },
    
    'cultural': {
        'families': 'Split families reunite easier',
        'students': 'Cross-border education',
        'artists': 'Cultural exchange',
        'language': 'Spanish + Creole mix',
        'result': 'Two cultures enrich each other'
    },
    
    'symbolic': {
        'division': '182 years of separation',
        'connection': 'Air Hispaniola bridges gap',
        'model': 'Cooperation over conflict',
        'inspiration': 'Decentralization enables unity',
        'W_maximum': 'One island, infinite connections'
    }
}

future_vision = {
    '2026': 'POP ↔ CYA launches',
    '2027': 'Full Hispaniola network (10 routes)',
    '2028': 'Caribbean expansion (Cuba, Jamaica, Puerto Rico)',
    '2030': 'Regional network (Central America, northern South America)',
    '2035': 'Global decentralized aviation network',
    
    'endgame': {
        'traditional_airlines': 'Centralized, expensive, fragile',
        'air_hispaniola_model': 'Decentralized, cheap, resilient',
        'winner': 'Decentralization (W > 0 always)',
        'result': 'Aviation transformed globally'
    }
}