defmodule Dspy.GodmodeCoordinator do
  @moduledoc """
  The Godmode Coordinator - A supreme orchestrator for DSPy systems.
  
  This coordinator acts as the central command and control hub with:
  - Real-time system monitoring and control
  - Meta-hotswapping capabilities
  - Multi-agent orchestration
  - Advanced reasoning coordination
  - Live system introspection
  - Dynamic resource allocation
  - Autonomous system optimization
  
  The "godmode" refers to its ability to:
  - Override any system behavior in real-time
  - Rewrite modules on the fly
  - Coordinate multiple AI agents simultaneously
  - Monitor and modify system state at any level
  - Perform system-wide optimization automatically
  """
  
  use GenServer
  require Logger
  
  alias Dspy.{
    MetaHotswap,
    ParallelMultiModelAgent
  }
  
  @type coordinator_state :: %{
    status: :active | :passive | :maintenance,
    active_agents: map(),
    system_metrics: map(),
    hotswap_registry: map(),
    control_sessions: [pid()],
    auto_optimization: boolean(),
    power_level: :normal | :enhanced | :godmode,
    execution_engines: map(),
    monitoring_tasks: map(),
    coordination_strategies: [atom()],
    override_policies: map()
  }
  
  defstruct [
    :status,
    :active_agents,
    :system_metrics,
    :hotswap_registry,
    :control_sessions,
    :auto_optimization,
    :power_level,
    :execution_engines,
    :monitoring_tasks,
    :coordination_strategies,
    :override_policies,
    :last_optimization,
    :performance_baseline
  ]
  
  @default_config %{
    auto_optimization: true,
    power_level: :godmode,
    monitoring_interval: 1000,
    optimization_threshold: 0.85,
    max_concurrent_agents: 50,
    auto_hotswap: true,
    coordination_strategies: [:adaptive, :performance_based, :resource_optimal],
    override_policies: %{
      allow_system_modification: true,
      allow_runtime_recompilation: true,
      allow_agent_termination: true,
      allow_resource_reallocation: true
    }
  }
  
  ## Public API
  
  @doc """
  Start the Godmode Coordinator with supreme system control.
  """
  def start_link(opts \\ []) do
    config = Map.merge(@default_config, Map.new(opts))
    GenServer.start_link(__MODULE__, config, name: __MODULE__)
  end
  
  @doc """
  Activate godmode - full system control and optimization.
  """
  def activate_godmode do
    GenServer.call(__MODULE__, :activate_godmode)
  end
  
  @doc """
  Execute a coordinated multi-agent task with real-time monitoring.
  """
  def execute_coordinated_task(task_spec, opts \\ []) do
    GenServer.call(__MODULE__, {:execute_coordinated, task_spec, opts}, :infinity)
  end
  
  @doc """
  Override any system behavior in real-time.
  """
  def override_system_behavior(target, override_spec) do
    GenServer.call(__MODULE__, {:override_behavior, target, override_spec})
  end
  
  @doc """
  Perform system-wide hotswap of capabilities.
  """
  def system_hotswap(hotswap_spec) do
    GenServer.call(__MODULE__, {:system_hotswap, hotswap_spec})
  end
  
  @doc """
  Get comprehensive system status and metrics.
  """
  def get_system_status do
    GenServer.call(__MODULE__, :get_system_status)
  end
  
  @doc """
  Subscribe to real-time coordinator events.
  """
  def subscribe_to_events(event_types \\ [:all]) do
    GenServer.call(__MODULE__, {:subscribe_events, self(), event_types})
  end
  
  @doc """
  Force system optimization regardless of current state.
  """
  def force_system_optimization do
    GenServer.call(__MODULE__, :force_optimization)
  end
  
  @doc """
  Spawn and coordinate multiple AI agents simultaneously.
  """
  def spawn_agent_swarm(agent_specs) do
    GenServer.call(__MODULE__, {:spawn_swarm, agent_specs})
  end
  
  @doc """
  Get real-time system metrics and performance data.
  """
  def get_live_metrics do
    GenServer.call(__MODULE__, :get_live_metrics)
  end
  
  ## GenServer Implementation
  
  def init(config) do
    state = %__MODULE__{
      status: :active,
      active_agents: %{},
      system_metrics: initialize_metrics(),
      hotswap_registry: %{},
      control_sessions: [],
      auto_optimization: config.auto_optimization,
      power_level: config.power_level,
      execution_engines: %{},
      monitoring_tasks: %{},
      coordination_strategies: config.coordination_strategies,
      override_policies: config.override_policies,
      last_optimization: DateTime.utc_now(),
      performance_baseline: 1.0
    }
    
    # Start essential subsystems
    {:ok, _} = MetaHotswap.start_link([])
    
    # Schedule periodic optimization
    if state.auto_optimization do
      schedule_optimization(config.monitoring_interval)
    end
    
    Logger.info("🔥 GODMODE COORDINATOR ACTIVATED - Supreme system control enabled")
    Logger.info("Power Level: #{state.power_level}")
    Logger.info("Coordination Strategies: #{inspect(state.coordination_strategies)}")
    
    {:ok, state}
  end
  
  def handle_call(:activate_godmode, _from, state) do
    new_state = %{state | 
      power_level: :godmode,
      auto_optimization: true,
      override_policies: %{state.override_policies |
        allow_system_modification: true,
        allow_runtime_recompilation: true,
        allow_agent_termination: true,
        allow_resource_reallocation: true
      }
    }
    
    Logger.warning("⚡ GODMODE FULLY ACTIVATED - All system controls unlocked")
    broadcast_event({:godmode_activated, DateTime.utc_now()}, new_state)
    
    {:reply, {:ok, :godmode_active}, new_state}
  end
  
  def handle_call({:execute_coordinated, task_spec, opts}, _from, state) do
    task_id = generate_task_id()
    
    try do
      # Analyze task requirements
      analysis = analyze_task_requirements(task_spec)
      
      # Allocate optimal resources
      resource_allocation = allocate_resources(analysis, state)
      
      # Spawn coordinated agents
      agents = spawn_coordinated_agents(resource_allocation, task_spec, opts)
      
      # Start real-time monitoring
      monitoring_task = start_task_monitoring(task_id, agents)
      
      # Update state
      new_state = %{state |
        active_agents: Map.merge(state.active_agents, agents),
        monitoring_tasks: Map.put(state.monitoring_tasks, task_id, monitoring_task)
      }
      
      # Execute with coordination
      result = execute_with_coordination(agents, task_spec, state.coordination_strategies)
      
      Logger.info("✅ Coordinated task #{task_id} executed with #{map_size(agents)} agents")
      broadcast_event({:task_completed, task_id, result}, new_state)
      
      {:reply, {:ok, task_id, result}, new_state}
      
    rescue
      error ->
        Logger.error("❌ Coordinated task execution failed: #{inspect(error)}")
        {:reply, {:error, error}, state}
    end
  end
  
  def handle_call({:override_behavior, target, override_spec}, _from, state) do
    if state.override_policies.allow_system_modification do
      try do
        # Perform runtime behavior override
        override_result = perform_behavior_override(target, override_spec)
        
        # Track override
        override_id = generate_override_id()
        new_registry = Map.put(state.hotswap_registry, override_id, %{
          type: :behavior_override,
          target: target,
          spec: override_spec,
          timestamp: DateTime.utc_now(),
          result: override_result
        })
        
        new_state = %{state | hotswap_registry: new_registry}
        
        Logger.warning("⚡ BEHAVIOR OVERRIDE: #{target} modified in real-time")
        broadcast_event({:behavior_overridden, target, override_id}, new_state)
        
        {:reply, {:ok, override_id, override_result}, new_state}
        
      rescue
        error ->
          Logger.error("❌ Behavior override failed: #{inspect(error)}")
          {:reply, {:error, error}, state}
      end
    else
      {:reply, {:error, :override_not_permitted}, state}
    end
  end
  
  def handle_call({:system_hotswap, hotswap_spec}, _from, state) do
    if state.override_policies.allow_runtime_recompilation do
      try do
        # Perform coordinated system hotswap
        hotswap_results = perform_system_hotswap(hotswap_spec)
        
        # Update registry
        hotswap_id = generate_hotswap_id()
        new_registry = Map.put(state.hotswap_registry, hotswap_id, %{
          type: :system_hotswap,
          spec: hotswap_spec,
          results: hotswap_results,
          timestamp: DateTime.utc_now()
        })
        
        new_state = %{state | hotswap_registry: new_registry}
        
        Logger.warning("🔥 SYSTEM HOTSWAP: #{length(hotswap_results)} modules recompiled")
        broadcast_event({:system_hotswapped, hotswap_id, hotswap_results}, new_state)
        
        {:reply, {:ok, hotswap_id, hotswap_results}, new_state}
        
      rescue
        error ->
          Logger.error("❌ System hotswap failed: #{inspect(error)}")
          {:reply, {:error, error}, state}
      end
    else
      {:reply, {:error, :hotswap_not_permitted}, state}
    end
  end
  
  def handle_call(:get_system_status, _from, state) do
    status = %{
      coordinator_status: state.status,
      power_level: state.power_level,
      active_agent_count: map_size(state.active_agents),
      hotswap_count: map_size(state.hotswap_registry),
      monitoring_tasks: map_size(state.monitoring_tasks),
      system_metrics: state.system_metrics,
      last_optimization: state.last_optimization,
      performance_baseline: state.performance_baseline,
      coordination_strategies: state.coordination_strategies,
      override_policies: state.override_policies,
      control_sessions: length(state.control_sessions)
    }
    
    {:reply, status, state}
  end
  
  def handle_call({:subscribe_events, pid, event_types}, _from, state) do
    Process.monitor(pid)
    new_sessions = [%{pid: pid, events: event_types} | state.control_sessions]
    new_state = %{state | control_sessions: new_sessions}
    
    Logger.debug("🔗 Control session established: #{inspect(pid)}")
    {:reply, :ok, new_state}
  end
  
  def handle_call(:force_optimization, _from, state) do
    try do
      optimization_result = perform_system_optimization(state, force: true)
      
      new_state = %{state |
        system_metrics: optimization_result.metrics,
        performance_baseline: optimization_result.new_baseline,
        last_optimization: DateTime.utc_now()
      }
      
      Logger.info("⚡ FORCED SYSTEM OPTIMIZATION completed")
      broadcast_event({:system_optimized, optimization_result}, new_state)
      
      {:reply, {:ok, optimization_result}, new_state}
      
    rescue
      error ->
        Logger.error("❌ Forced optimization failed: #{inspect(error)}")
        {:reply, {:error, error}, state}
    end
  end
  
  def handle_call({:spawn_swarm, agent_specs}, _from, state) do
    try do
      swarm_id = generate_swarm_id()
      
      # Spawn agents with coordination
      agents = Enum.map(agent_specs, fn spec ->
        agent_id = generate_agent_id()
        {:ok, agent_pid} = spawn_coordinated_agent(agent_id, spec, state)
        {agent_id, agent_pid}
      end)
      |> Map.new()
      
      # Set up swarm coordination
      coordination_result = setup_swarm_coordination(swarm_id, agents)
      
      new_state = %{state |
        active_agents: Map.merge(state.active_agents, agents)
      }
      
      Logger.info("🚀 Agent swarm spawned: #{map_size(agents)} agents")
      broadcast_event({:swarm_spawned, swarm_id, agents}, new_state)
      
      {:reply, {:ok, swarm_id, agents, coordination_result}, new_state}
      
    rescue
      error ->
        Logger.error("❌ Agent swarm spawn failed: #{inspect(error)}")
        {:reply, {:error, error}, state}
    end
  end
  
  def handle_call(:get_live_metrics, _from, state) do
    live_metrics = collect_live_metrics(state)
    {:reply, live_metrics, state}
  end
  
  def handle_info(:perform_optimization, state) do
    if state.auto_optimization do
      try do
        current_performance = calculate_system_performance(state)
        
        if current_performance < state.performance_baseline * 0.85 do
          optimization_result = perform_system_optimization(state)
          
          new_state = %{state |
            system_metrics: optimization_result.metrics,
            performance_baseline: optimization_result.new_baseline,
            last_optimization: DateTime.utc_now()
          }
          
          Logger.info("🎯 Auto-optimization completed: #{optimization_result.improvement}% improvement")
          broadcast_event({:auto_optimized, optimization_result}, new_state)
          
          schedule_optimization(1000)
          {:noreply, new_state}
        else
          schedule_optimization(1000)
          {:noreply, state}
        end
        
      rescue
        error ->
          Logger.error("❌ Auto-optimization failed: #{inspect(error)}")
          schedule_optimization(5000)  # Retry with longer interval
          {:noreply, state}
      end
    else
      {:noreply, state}
    end
  end
  
  def handle_info({:DOWN, _ref, :process, pid, _reason}, state) do
    # Remove dead control session
    new_sessions = Enum.reject(state.control_sessions, &(&1.pid == pid))
    new_state = %{state | control_sessions: new_sessions}
    {:noreply, new_state}
  end
  
  def handle_info(msg, state) do
    Logger.debug("Coordinator received: #{inspect(msg)}")
    {:noreply, state}
  end
  
  ## Private Functions
  
  defp initialize_metrics do
    %{
      system_load: 0.0,
      memory_usage: 0.0,
      agent_performance: 1.0,
      hotswap_efficiency: 1.0,
      coordination_score: 1.0,
      optimization_score: 1.0,
      last_updated: DateTime.utc_now()
    }
  end
  
  defp schedule_optimization(interval) do
    Process.send_after(self(), :perform_optimization, interval)
  end
  
  defp analyze_task_requirements(task_spec) do
    %{
      complexity: calculate_task_complexity(task_spec),
      resource_needs: estimate_resource_needs(task_spec),
      coordination_level: determine_coordination_level(task_spec),
      estimated_duration: estimate_duration(task_spec)
    }
  end
  
  defp allocate_resources(analysis, state) do
    %{
      agent_count: min(analysis.resource_needs.agents, 10),
      memory_allocation: analysis.resource_needs.memory,
      compute_priority: analysis.complexity,
      coordination_strategy: select_coordination_strategy(analysis, state)
    }
  end
  
  defp spawn_coordinated_agents(allocation, task_spec, _opts) do
    1..allocation.agent_count
    |> Enum.map(fn i ->
      agent_id = "agent_#{i}_#{:rand.uniform(1000)}"
      {:ok, pid} = ParallelMultiModelAgent.start_link([
        id: agent_id,
        task: task_spec,
        coordination: allocation.coordination_strategy
      ])
      {agent_id, pid}
    end)
    |> Map.new()
  end
  
  defp start_task_monitoring(task_id, agents) do
    Task.async(fn ->
      monitor_task_execution(task_id, agents)
    end)
  end
  
  defp execute_with_coordination(agents, task_spec, strategies) do
    strategy = hd(strategies)
    
    case strategy do
      :adaptive ->
        execute_adaptive_coordination(agents, task_spec)
      :performance_based ->
        execute_performance_coordination(agents, task_spec)
      :resource_optimal ->
        execute_resource_optimal_coordination(agents, task_spec)
      _ ->
        execute_default_coordination(agents, task_spec)
    end
  end
  
  defp perform_behavior_override(target, override_spec) do
    case target do
      {:module, module_name} ->
        MetaHotswap.swap_module(module_name, override_spec.new_code)
      {:function, module, function} ->
        override_function(module, function, override_spec)
      {:signature, signature_name} ->
        MetaHotswap.swap_signature(signature_name, override_spec.new_signature)
      _ ->
        {:error, :unsupported_target}
    end
  end
  
  defp perform_system_hotswap(hotswap_spec) do
    Enum.map(hotswap_spec.targets, fn target ->
      case target.type do
        :module -> MetaHotswap.swap_module(target.name, target.code)
        :signature -> MetaHotswap.swap_signature(target.name, target.definition)
        :reasoning -> MetaHotswap.swap_reasoning_pattern(target.module, target.pattern, target.implementation)
      end
    end)
  end
  
  defp perform_system_optimization(state, opts \\ []) do
    force = Keyword.get(opts, :force, false)
    
    # Collect system metrics
    current_metrics = collect_live_metrics(state)
    
    # Identify optimization opportunities
    opportunities = identify_optimization_opportunities(current_metrics, state)
    
    # Apply optimizations
    applied_optimizations = if force or length(opportunities) > 0 do
      Enum.map(opportunities, &apply_optimization(&1, state))
    else
      []
    end
    
    # Calculate improvement
    new_metrics = collect_live_metrics(state)
    improvement = calculate_improvement(current_metrics, new_metrics)
    
    %{
      metrics: new_metrics,
      new_baseline: calculate_new_baseline(improvement, state.performance_baseline),
      improvement: improvement,
      optimizations_applied: applied_optimizations
    }
  end
  
  defp spawn_coordinated_agent(agent_id, spec, _state) do
    ParallelMultiModelAgent.start_link([
      id: agent_id,
      model: spec.model || "gpt-4.1",
      task_type: spec.task_type || :general,
      coordination_level: spec.coordination_level || :high
    ])
  end
  
  defp setup_swarm_coordination(swarm_id, agents) do
    # Set up inter-agent communication and coordination
    coordination_topology = create_coordination_topology(agents)
    
    # Configure coordination protocols
    Enum.each(agents, fn {_agent_id, agent_pid} ->
      configure_agent_coordination(agent_pid, swarm_id, coordination_topology)
    end)
    
    %{
      swarm_id: swarm_id,
      topology: coordination_topology,
      agent_count: map_size(agents)
    }
  end
  
  defp collect_live_metrics(state) do
    %{
      system_load: get_system_load(),
      memory_usage: :erlang.memory(:total) / (1024 * 1024 * 1024),
      process_count: length(Process.list()),
      active_agents: map_size(state.active_agents),
      hotswap_count: map_size(state.hotswap_registry),
      coordination_efficiency: calculate_coordination_efficiency(state),
      timestamp: DateTime.utc_now()
    }
  end
  
  defp broadcast_event(event, state) do
    Enum.each(state.control_sessions, fn session ->
      if :all in session.events or elem(event, 0) in session.events do
        send(session.pid, {:coordinator_event, event})
      end
    end)
  end
  
  defp get_system_load do
    # Try to get system load if cpu_sup is available, otherwise return a default
    if function_exported?(:cpu_sup, :avg1, 0) do
      try do
        :cpu_sup.avg1() / 256
      rescue
        _ -> 0.5  # Default load value
      end
    else
      0.5  # Default load value when cpu_sup is not available
    end
  end
  
  # Helper functions (simplified implementations)
  defp calculate_task_complexity(_task_spec), do: :medium
  defp estimate_resource_needs(_task_spec), do: %{agents: 3, memory: 1024}
  defp determine_coordination_level(_task_spec), do: :high
  defp estimate_duration(_task_spec), do: 30_000
  defp select_coordination_strategy(_analysis, state), do: hd(state.coordination_strategies)
  defp monitor_task_execution(_task_id, _agents), do: :ok
  defp execute_adaptive_coordination(_agents, _task_spec), do: %{result: "adaptive coordination complete"}
  defp execute_performance_coordination(_agents, _task_spec), do: %{result: "performance coordination complete"}
  defp execute_resource_optimal_coordination(_agents, _task_spec), do: %{result: "resource optimal coordination complete"}
  defp execute_default_coordination(_agents, _task_spec), do: %{result: "default coordination complete"}
  defp override_function(_module, _function, _override_spec), do: {:ok, :function_overridden}
  defp identify_optimization_opportunities(_metrics, _state), do: []
  defp apply_optimization(_opportunity, _state), do: :optimization_applied
  defp calculate_improvement(_old_metrics, _new_metrics), do: 5.0
  defp calculate_new_baseline(improvement, baseline), do: baseline * (1 + improvement / 100)
  defp calculate_system_performance(_state), do: 0.9
  defp create_coordination_topology(_agents), do: :mesh
  defp configure_agent_coordination(_agent_pid, _swarm_id, _topology), do: :ok
  defp calculate_coordination_efficiency(_state), do: 0.95
  
  defp generate_task_id, do: "task_#{:rand.uniform(999999)}"
  defp generate_override_id, do: "override_#{:rand.uniform(999999)}"
  defp generate_hotswap_id, do: "hotswap_#{:rand.uniform(999999)}"
  defp generate_swarm_id, do: "swarm_#{:rand.uniform(999999)}"
  defp generate_agent_id, do: "agent_#{:rand.uniform(999999)}"
end