# Current Foundation capabilities (to preserve and build upon)
Foundation.Services = [
  Foundation.ProcessRegistry,     # High-performance process management
  Foundation.Services.Telemetry,  # Comprehensive observability
  Foundation.Services.EventBus,   # Event-driven communication
  Foundation.Services.HTTPClient, # Circuit breaker HTTP client
  Foundation.Services.CostTracker # Cost monitoring
]

Foundation.MABEAM = [
  Foundation.MABEAM.Core,         # Basic agent coordination (188+ tests)
  Foundation.MABEAM.AgentRegistry,# Agent lifecycle management
  Foundation.MABEAM.Telemetry,    # MABEAM-specific monitoring
  Foundation.MABEAM.Types         # Type system for coordination
]

# Areas requiring advanced pattern integration
enhancement_targets = [
  {:foundation_mabeam_registry, :high_performance_ets_patterns},
  {:foundation_mabeam_coordination, :advanced_consensus_protocols},
  {:foundation_mabeam_economics, :production_auction_systems},
  {:elixir_ml_variables, :cognitive_coordination_capabilities},
  {:distributed_coordination, :cluster_aware_synchronization}
]

# lib/foundation/mabeam/agent_registry.ex (existing)
defmodule Foundation.MABEAM.AgentRegistry do
  # Basic agent registration and lookup
  # Single ETS table with simple operations
  # ~200 lines, basic functionality
end

# lib/foundation/mabeam/registry.ex (enhanced)
defmodule Foundation.MABEAM.Registry do
  @moduledoc """
  High-performance agent registry with comprehensive indexing
  Based on lib_old advanced patterns - write-through-process, read-from-table
  
  Performance targets:
  - Read operations: < 1μs
  - Write operations: < 10μs
  - Agent discovery: < 100μs
  """
  
  # Multi-index ETS architecture
  @main_table :mabeam_agents_main
  @capability_index :mabeam_capability_index
  @health_index :mabeam_health_index
  @node_index :mabeam_node_index
  @resource_index :mabeam_resource_index
  @performance_index :mabeam_performance_index
  
  # Implementation follows patterns from 20250712_FOUNDATION_MABEAM_ARCHITECTURE.md
  # with full backward compatibility for existing Foundation.MABEAM.AgentRegistry calls
end

defmodule Foundation.MABEAM.Registry.Migration do
  @moduledoc """
  Zero-downtime migration from AgentRegistry to enhanced Registry
  """
  
  def migrate_to_enhanced_registry do
    # Step 1: Start enhanced registry alongside existing
    {:ok, _enhanced_pid} = Foundation.MABEAM.Registry.start_link(migration_mode: true)
    
    # Step 2: Migrate existing agent registrations
    existing_agents = Foundation.MABEAM.AgentRegistry.list_all_agents()
    
    Enum.each(existing_agents, fn agent_info ->
      Foundation.MABEAM.Registry.register_agent(agent_info, migrated: true)
    end)
    
    # Step 3: Validate data consistency
    validate_migration_consistency(existing_agents)
    
    # Step 4: Switch traffic to enhanced registry
    Foundation.MABEAM.switch_to_enhanced_registry()
    
    # Step 5: Deprecate old registry gracefully
    Foundation.MABEAM.AgentRegistry.graceful_shutdown(timeout: 30_000)
  end
end

# lib/foundation/mabeam/coordination.ex (enhanced)
defmodule Foundation.MABEAM.Coordination do
  @moduledoc """
  Advanced coordination engine supporting multiple protocols
  Based on lib_old/mabeam/coordination.ex (4,600+ lines)
  """
  
  # Protocol implementations from 20250712_ADVANCED_COORDINATION_PROTOCOLS.md
  @protocols %{
    simple_consensus: Foundation.MABEAM.Protocols.SimpleConsensus,
    hierarchical_consensus: Foundation.MABEAM.Protocols.HierarchicalConsensus,
    byzantine_consensus: Foundation.MABEAM.Protocols.ByzantineConsensus,
    market_coordination: Foundation.MABEAM.Protocols.MarketCoordination,
    ensemble_learning: Foundation.MABEAM.Protocols.EnsembleLearning
  }
  
  # Maintain backward compatibility with existing Foundation.MABEAM.Core
  def coordinate_legacy(coordination_spec, opts) do
    # Delegate to existing implementation for compatibility
    Foundation.MABEAM.Core.coordinate_agents(coordination_spec, opts)
  end
  
  def coordinate(coordination_spec, opts) do
    # New advanced coordination with automatic protocol selection
    protocol = Foundation.MABEAM.Protocols.Selector.select_protocol(coordination_spec)
    run_coordination(protocol, coordination_spec, opts)
  end
end

# lib/foundation/mabeam/economics.ex (new)
defmodule Foundation.MABEAM.Economics do
  @moduledoc """
  Economic coordination mechanisms for intelligent resource allocation
  Based on lib_old/mabeam/economics.ex (1,000+ lines)
  
  Features:
  - Multi-type auction systems (English, Dutch, Sealed-bid, Vickrey, Combinatorial)
  - Reputation systems with anti-gaming measures
  - Real-time market mechanisms
  - Cost optimization and budget constraints
  """
  
  # Full implementation from 20250712_FOUNDATION_MABEAM_ARCHITECTURE.md
  # with integration into existing Foundation cost tracking
  
  def integrate_with_foundation_services do
    # Connect to Foundation.Services.CostTracker
    Foundation.Services.CostTracker.register_economic_coordinator(__MODULE__)
    
    # Connect to Foundation.Services.Telemetry
    Foundation.Services.Telemetry.register_economic_metrics(__MODULE__)
  end
end

# lib/elixir_ml/variable.ex (existing)
defmodule ElixirML.Variable do
  # Basic variable types: float, integer, choice, composite
  # Simple optimization interface
  # ~500 lines, parameter optimization focus
end

# lib/elixir_ml/variable/cognitive.ex (new)
defmodule ElixirML.Variable.Cognitive do
  @moduledoc """
  Cognitive variables that coordinate agent behavior in real-time
  Based on unified vision insights and Variable Coordination Evolution
  """
  
  # Implementation from 20250712_VARIABLE_COORDINATION_EVOLUTION.md
  # with full backward compatibility for existing Variable usage
  
  def upgrade_traditional_variable(traditional_var, cognitive_opts \\ []) do
    # Seamless upgrade path from traditional to cognitive variables
    ElixirML.Variable.Migration.upgrade_to_cognitive(traditional_var, cognitive_opts)
  end
end

# lib/elixir_ml/variable/space.ex (enhanced)
defmodule ElixirML.Variable.Space do
  # Maintain all existing functionality
  # Add cognitive space capabilities as opt-in enhancement
  
  def enable_cognitive_coordination(space_pid, coordination_opts \\ []) do
    # Upgrade existing space to cognitive coordination
    ElixirML.Variable.CognitiveSpace.upgrade_space(space_pid, coordination_opts)
  end
end

# lib/elixir_ml/variable/adaptation.ex (new)
defmodule ElixirML.Variable.Adaptation do
  @moduledoc """
  Real-time variable adaptation based on performance feedback
  """
  
  use GenServer
  
  # Adaptation strategies from unified vision documents
  @adaptation_strategies [
    :performance_feedback,    # Adapt based on system performance
    :cost_optimization,      # Optimize for cost efficiency
    :load_balancing,         # Balance load across agents
    :quality_improvement     # Optimize for output quality
  ]
  
  def start_adaptation_engine(variable_space_pid, opts \\ []) do
    GenServer.start_link(__MODULE__, {variable_space_pid, opts})
  end
  
  def init({variable_space_pid, opts}) do
    # Initialize real-time adaptation monitoring
    state = %{
      variable_space: variable_space_pid,
      adaptation_strategies: opts[:strategies] || @adaptation_strategies,
      performance_monitor: start_performance_monitor(opts),
      adaptation_history: [],
      learning_rate: opts[:learning_rate] || 0.1
    }
    
    # Start adaptation cycle
    :timer.send_interval(1000, :adaptation_cycle)
    
    {:ok, state}
  end
end

# lib/foundation/telemetry/advanced.ex (new)
defmodule Foundation.Telemetry.Advanced do
  @moduledoc """
  Advanced telemetry for MABEAM and cognitive variable systems
  """
  
  def setup_advanced_telemetry do
    # MABEAM telemetry
    Foundation.MABEAM.Telemetry.setup_telemetry()
    
    # Coordination protocol telemetry
    Foundation.MABEAM.Protocols.Telemetry.setup_protocol_telemetry()
    
    # Economic system telemetry
    Foundation.MABEAM.Economics.Telemetry.setup_economic_telemetry()
    
    # Cognitive variable telemetry
    ElixirML.Variable.Telemetry.setup_cognitive_variable_telemetry()
    
    # Integration telemetry
    setup_integration_telemetry()
  end
  
  defp setup_integration_telemetry do
    :telemetry.attach_many(
      "foundation-integration-telemetry",
      [
        [:foundation, :mabeam, :variable, :coordination],
        [:foundation, :mabeam, :economics, :optimization],
        [:foundation, :system, :performance, :snapshot]
      ],
      &handle_integration_telemetry/4,
      nil
    )
  end
end

# lib/foundation/performance/optimization.ex (new)
defmodule Foundation.Performance.Optimization do
  @moduledoc """
  Performance optimization patterns based on lib_old analysis
  """
  
  # ETS optimization patterns
  def optimize_ets_operations do
    # Implement write-through-process, read-from-table patterns
    # Memory-efficient batch operations
    # Concurrent read optimization
  end
  
  # Coordination optimization
  def optimize_coordination_performance do
    # Protocol performance monitoring
    # Adaptive protocol selection
    # Coordination caching strategies
  end
  
  # Variable system optimization
  def optimize_variable_operations do
    # Cognitive variable performance tuning
    # Adaptation algorithm optimization
    # Memory usage optimization
  end
end

# lib/foundation/distributed/coordination.ex (new)
defmodule Foundation.Distributed.Coordination do
  @moduledoc """
  Distributed coordination for cluster deployment
  """
  
  # Cluster-wide variable synchronization
  def sync_variables_across_cluster(variable_space, sync_strategy \\ :consensus) do
    ElixirML.Variable.ClusterSync.sync_variable_across_cluster(variable_space, sync_strategy)
  end
  
  # Distributed MABEAM coordination
  def coordinate_across_cluster(coordination_spec, cluster_opts \\ []) do
    Foundation.MABEAM.Distributed.coordinate_cluster(coordination_spec, cluster_opts)
  end
  
  # Distributed economic mechanisms
  def create_cluster_auction(auction_spec, cluster_participants) do
    Foundation.MABEAM.Economics.create_distributed_auction(auction_spec, cluster_participants)
  end
end

# lib/foundation/scientific/evaluation.ex (new)
defmodule Foundation.Scientific.Evaluation do
  @moduledoc """
  Scientific evaluation framework for hypothesis-driven development
  """
  
  def create_experiment(hypothesis, evaluation_spec) do
    # Standardized evaluation harness
    # Experiment management with controlled variables
    # Reproducibility packages
  end
  
  def evaluate_system_performance(system_spec, evaluation_criteria) do
    # Multi-modal task evaluation
    # Statistical analysis of results
    # Performance comparison against baselines
  end
end

# lib/foundation/mabeam/agents/specialized.ex (new)
defmodule Foundation.MABEAM.Agents.Specialized do
  @moduledoc """
  Specialized agent implementations based on lib_old patterns
  """
  
  # ML-specific agents from cognitive orchestration
  defmodule CoderAgent do
    use Foundation.MABEAM.Agent
    # Advanced code generation with caching and optimization
  end
  
  defmodule ReviewerAgent do
    use Foundation.MABEAM.Agent
    # Code review with quality assessment and feedback
  end
  
  defmodule OptimizerAgent do
    use Foundation.MABEAM.Agent
    # Hyperparameter optimization with economic coordination
  end
  
  # Economic coordination agents
  defmodule AuctioneerAgent do
    use Foundation.MABEAM.Agent
    # Auction management with anti-gaming measures
  end
  
  defmodule ReputationAgent do
    use Foundation.MABEAM.Agent
    # Reputation tracking and reputation-based coordination
  end
end

# lib/foundation/monitoring/production.ex (new)
defmodule Foundation.Monitoring.Production do
  @moduledoc """
  Production monitoring and alerting for advanced systems
  """
  
  def setup_production_monitoring do
    # System health monitoring
    # Performance threshold alerting
    # Cost monitoring and budget alerts
    # Security monitoring for economic systems
  end
  
  def create_operational_dashboard do
    # Phoenix LiveView dashboard
    # Real-time system metrics
    # Agent coordination visualizations
    # Economic activity monitoring
  end
end

defmodule Foundation.Migration.Strategy do
  @moduledoc """
  Zero-downtime migration strategy for production systems
  """
  
  def migrate_phase(phase, opts \\ []) do
    case phase do
      :mabeam_registry ->
        migrate_mabeam_registry(opts)
        
      :coordination_protocols ->
        migrate_coordination_protocols(opts)
        
      :cognitive_variables ->
        migrate_cognitive_variables(opts)
        
      :distributed_coordination ->
        migrate_distributed_coordination(opts)
    end
  end
  
  defp migrate_mabeam_registry(opts) do
    # Blue-green deployment for registry migration
    # Data consistency validation
    # Traffic switching with rollback capability
    # Performance verification
  end
end

defmodule Foundation.Migration.RiskMitigation do
  @moduledoc """
  Risk mitigation strategies for production refactoring
  """
  
  # Feature flags for gradual rollout
  def enable_feature_flag(feature, percentage \\ 10) do
    Foundation.FeatureFlags.enable(feature, percentage)
  end
  
  # Circuit breakers for new functionality
  def wrap_with_circuit_breaker(operation, fallback) do
    Foundation.CircuitBreaker.call(operation, fallback)
  end
  
  # Rollback mechanisms
  def create_rollback_plan(migration_phase) do
    %{
      phase: migration_phase,
      rollback_steps: generate_rollback_steps(migration_phase),
      validation_checks: generate_validation_checks(migration_phase),
      timeout: calculate_rollback_timeout(migration_phase)
    }
  end
end

defmodule Foundation.Testing.Strategy do
  @moduledoc """
  Comprehensive testing strategy for refactored systems
  """
  
  # Performance regression testing
  def performance_regression_test(system_component, baseline_metrics) do
    current_metrics = measure_component_performance(system_component)
    validate_performance_improvement(current_metrics, baseline_metrics)
  end
  
  # Integration testing across all systems
  def integration_test_suite do
    [
      test_mabeam_registry_integration(),
      test_coordination_protocol_integration(),
      test_cognitive_variable_integration(),
      test_economic_system_integration(),
      test_distributed_coordination_integration()
    ]
  end
  
  # Property-based testing for complex coordination
  def property_based_coordination_tests do
    # Use StreamData for generating coordination scenarios
    # Test consensus properties
    # Test economic mechanism properties
    # Test fault tolerance properties
  end
end

defmodule Foundation.Validation.Framework do
  @moduledoc """
  Validation framework for refactoring phases
  """
  
  def validate_phase_completion(phase) do
    validation_results = %{
      technical_validation: run_technical_validation(phase),
      performance_validation: run_performance_validation(phase),
      architectural_validation: run_architectural_validation(phase),
      production_readiness: validate_production_readiness(phase)
    }
    
    case all_validations_pass?(validation_results) do
      true -> {:ok, :phase_validated}
      false -> {:error, {:validation_failed, validation_results}}
    end
  end
end

@performance_targets %{
  # MABEAM Registry Performance
  mabeam_registry: %{
    read_latency: {1, :microsecond},      # < 1μs
    write_latency: {10, :microsecond},    # < 10μs
    discovery_latency: {100, :microsecond}, # < 100μs
    throughput: {100_000, :operations_per_second}
  },
  
  # Coordination Protocol Performance
  coordination: %{
    simple_consensus: {10, :millisecond},
    hierarchical_consensus: {100, :millisecond},
    byzantine_consensus: {1000, :millisecond},
    market_coordination: {5000, :millisecond}
  },
  
  # Cognitive Variable Performance
  cognitive_variables: %{
    adaptation_latency: {100, :millisecond},
    coordination_overhead: {5, :percent},
    real_time_updates: {1000, :updates_per_second}
  },
  
  # Economic System Performance
  economics: %{
    auction_processing: {5000, :millisecond},
    reputation_updates: {10, :millisecond},
    market_price_calculation: {100, :millisecond}
  }
}

@success_metrics %{
  # Technical Excellence
  technical: %{
    test_coverage: {95, :percent},
    performance_improvement: {20, :percent},
    error_rate_reduction: {50, :percent},
    memory_usage_improvement: {15, :percent}
  },
  
  # Operational Excellence
  operational: %{
    deployment_time_reduction: {80, :percent},
    monitoring_coverage: {100, :percent},
    alert_accuracy: {95, :percent},
    recovery_time: {60, :second}
  },
  
  # Business Value
  business: %{
    developer_productivity: {40, :percent},
    system_reliability: {99.9, :percent},
    cost_optimization: {30, :percent},
    feature_delivery_speed: {50, :percent}
  }
}

@implementation_timeline %{
  # Phase 1: Foundation Infrastructure Enhancement (Weeks 1-4)
  phase_1: %{
    week_1: [:mabeam_registry_enhancement, :ets_optimization_patterns],
    week_2: [:coordination_protocol_foundation, :protocol_selection_logic],
    week_3: [:advanced_consensus_implementation, :byzantine_tolerance],
    week_4: [:economic_coordination_system, :auction_mechanisms]
  },
  
  # Phase 2: Cognitive Variable System Enhancement (Weeks 5-8)
  phase_2: %{
    week_5: [:cognitive_variable_implementation, :backward_compatibility],
    week_6: [:variable_space_enhancement, :migration_utilities],
    week_7: [:real_time_adaptation_engine, :performance_feedback],
    week_8: [:agent_coordination_integration, :economic_optimization]
  },
  
  # Phase 3: Production Integration and Optimization (Weeks 9-12)
  phase_3: %{
    week_9: [:comprehensive_telemetry, :monitoring_enhancement],
    week_10: [:performance_optimization, :ets_tuning],
    week_11: [:distributed_coordination, :cluster_awareness],
    week_12: [:production_deployment_preparation, :operational_tooling]
  },
  
  # Phase 4: Advanced Features and Optimization (Weeks 13-16)
  phase_4: %{
    week_13: [:scientific_evaluation_framework, :hypothesis_testing],
    week_14: [:specialized_agent_implementations, :ml_native_agents],
    week_15: [:production_monitoring_dashboard, :alerting_system],
    week_16: [:final_optimization, :performance_validation]
  }
}

@phase_gate_criteria %{
  technical_validation: [
    :all_tests_passing,
    :performance_benchmarks_met,
    :no_functionality_regressions,
    :code_quality_standards_maintained
  ],
  
  architectural_compliance: [
    :otp_principles_maintained,
    :protocol_based_design_enforced,
    :fault_tolerance_verified,
    :supervision_trees_correct
  ],
  
  production_readiness: [
    :monitoring_comprehensive,
    :alerting_configured,
    :rollback_procedures_tested,
    :documentation_complete
  ],
  
  business_value: [
    :performance_improvements_measured,
    :developer_experience_enhanced,
    :operational_costs_reduced,
    :system_reliability_improved
  ]
}