defmodule Dspy.MassCollaboration do
  @moduledoc """
  GenStage-based system for coordinating 10,000+ agents working on
  world-changing software projects with shared codebases.

  This system handles massive parallelization for projects like:
  - Global climate modeling & response systems
  - Universal healthcare optimization platforms
  - Autonomous smart city infrastructure
  - Space colonization planning systems
  - Pandemic prevention & response systems
  """

  defmodule AgentCoordinator do
    @moduledoc """
    Central coordinator for managing 10,000+ collaborative agents
    using GenStage for advanced parallelization.
    """

    use GenStage

    defstruct [
      :project_type,
      :agent_registry,
      :work_distribution_strategy,
      :load_balancer,
      :conflict_resolver,
      :quality_gates,
      :performance_metrics,
      :coordination_patterns,
      :agents,
      :collaboration_rounds
    ]

    def new(opts) do
      %__MODULE__{
        agents: Keyword.get(opts, :agents, []),
        collaboration_rounds: Keyword.get(opts, :collaboration_rounds, 1)
      }
    end

    def start_link(opts) do
      GenStage.start_link(__MODULE__, opts, name: __MODULE__)
    end

    @impl true
    def init(opts) do
      project_type = Keyword.get(opts, :project_type, :climate_modeling)

      state = %__MODULE__{
        project_type: project_type,
        agent_registry: initialize_agent_registry(),
        work_distribution_strategy: get_distribution_strategy(project_type),
        load_balancer: initialize_load_balancer(),
        conflict_resolver: initialize_conflict_resolver(),
        quality_gates: initialize_quality_gates(project_type),
        performance_metrics: %{},
        coordination_patterns: get_coordination_patterns(project_type)
      }

      {:producer, state}
    end

    @impl true
    def handle_demand(demand, state) do
      # Generate work items based on project needs and agent capabilities
      work_items = generate_work_distribution(demand, state)
      {:noreply, work_items, state}
    end

    defp initialize_agent_registry do
      # Registry of 10,000+ specialized agents
      %{
        code_generators: 2000,
        reviewers: 1500,
        testers: 1500,
        optimizers: 1000,
        researchers: 1000,
        coordinators: 500,
        quality_assurance: 800,
        documentation: 700,
        deployment: 500,
        monitoring: 500
      }
    end

    defp get_distribution_strategy(:climate_modeling) do
      %{
        pattern: :geographic_sharding,
        priorities: [:urgent_climate_events, :model_accuracy, :data_processing, :visualization],
        scaling_factors: %{
          data_processing: 3.0,
          model_training: 2.5,
          simulation: 2.0,
          analysis: 1.5
        }
      }
    end

    defp get_distribution_strategy(:healthcare_optimization) do
      %{
        pattern: :patient_priority_sharding,
        priorities: [:critical_care, :preventive_care, :research, :optimization],
        scaling_factors: %{
          emergency_response: 5.0,
          diagnosis_support: 3.0,
          treatment_planning: 2.5,
          drug_discovery: 2.0
        }
      }
    end

    defp get_distribution_strategy(:smart_city) do
      %{
        pattern: :infrastructure_domain_sharding,
        priorities: [
          :safety_critical,
          :traffic_optimization,
          :energy_management,
          :citizen_services
        ],
        scaling_factors: %{
          emergency_systems: 4.0,
          traffic_control: 3.0,
          energy_grid: 2.5,
          public_services: 2.0
        }
      }
    end

    defp initialize_load_balancer do
      %{
        algorithm: :consistent_hashing,
        capacity_weights: %{},
        health_checks: %{},
        failover_strategy: :graceful_degradation
      }
    end

    defp initialize_conflict_resolver do
      %{
        resolution_strategy: :consensus_voting,
        conflict_detection: :semantic_analysis,
        mediation_agents: [],
        escalation_rules: []
      }
    end

    defp initialize_quality_gates(project_type) do
      case project_type do
        :climate_modeling ->
          %{
            accuracy_threshold: 0.95,
            performance_requirements: %{latency: 100, throughput: 1000},
            compliance_checks: [:environmental_standards, :data_privacy]
          }

        :healthcare_optimization ->
          %{
            accuracy_threshold: 0.99,
            performance_requirements: %{latency: 50, throughput: 500},
            compliance_checks: [:hipaa, :fda_regulations, :patient_safety]
          }

        :smart_city ->
          %{
            accuracy_threshold: 0.90,
            performance_requirements: %{latency: 200, throughput: 2000},
            compliance_checks: [:privacy_laws, :safety_standards]
          }

        _ ->
          %{
            accuracy_threshold: 0.85,
            performance_requirements: %{latency: 500, throughput: 100},
            compliance_checks: []
          }
      end
    end

    defp get_coordination_patterns(project_type) do
      case project_type do
        :climate_modeling ->
          [:data_pipeline, :model_ensemble, :real_time_processing]

        :healthcare_optimization ->
          [:patient_workflow, :clinical_decision_support, :research_integration]

        :smart_city ->
          [:sensor_networks, :traffic_optimization, :energy_management]

        _ ->
          [:basic_pipeline, :quality_assurance]
      end
    end

    defp generate_work_distribution(demand, state) do
      # Generate work items based on demand and project type
      1..demand
      |> Enum.map(fn i ->
        %{
          id: "work_item_#{i}",
          type: select_work_type(state.project_type),
          priority: select_priority(state.work_distribution_strategy),
          agent_requirements: get_agent_requirements(state.project_type),
          estimated_effort: calculate_effort(state.project_type)
        }
      end)
    end

    defp select_work_type(project_type) do
      case project_type do
        :climate_modeling ->
          Enum.random([:data_processing, :model_training, :simulation, :analysis])

        :healthcare_optimization ->
          Enum.random([:diagnosis, :treatment_planning, :research, :monitoring])

        :smart_city ->
          Enum.random([
            :traffic_analysis,
            :energy_optimization,
            :safety_monitoring,
            :service_delivery
          ])

        _ ->
          :general_task
      end
    end

    defp select_priority(strategy) do
      strategy.priorities |> Enum.random()
    end

    defp get_agent_requirements(project_type) do
      case project_type do
        :climate_modeling -> [:data_scientist, :climate_modeler, :statistician]
        :healthcare_optimization -> [:medical_expert, :data_analyst, :researcher]
        :smart_city -> [:urban_planner, :engineer, :data_analyst]
        _ -> [:generalist]
      end
    end

    defp calculate_effort(project_type) do
      base_effort =
        case project_type do
          :climate_modeling -> Enum.random(1..10)
          :healthcare_optimization -> Enum.random(2..15)
          :smart_city -> Enum.random(1..8)
          _ -> Enum.random(1..5)
        end

      # minutes
      base_effort * 60
    end
  end

  defmodule GlobalClimateResponseSystem do
    @moduledoc """
    World-changing project: Real-time global climate modeling and response
    coordination using 10,000+ agents with GenStage orchestration.
    """

    defmodule ClimateDataProducer do
      use GenStage

      defstruct [:data_sources, :processing_queue, :quality_filters]

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(_opts) do
        state = %__MODULE__{
          data_sources: [
            :satellite_imagery,
            :weather_stations,
            :ocean_buoys,
            :atmospheric_sensors,
            :ice_core_data,
            :forest_monitors,
            :urban_sensors,
            :agricultural_monitors,
            :marine_sensors
          ],
          processing_queue: :queue.new(),
          quality_filters: initialize_quality_filters()
        }

        # Start periodic data ingestion
        schedule_data_collection()

        {:producer, state}
      end

      @impl true
      def handle_demand(demand, state) do
        data_batches = generate_climate_data_batches(demand, state)
        {:noreply, data_batches, state}
      end

      @impl true
      def handle_info(:collect_data, state) do
        # Simulate real-time data collection from global sources
        new_data = collect_global_climate_data(state.data_sources)
        filtered_data = apply_quality_filters(new_data, state.quality_filters)

        updated_queue =
          Enum.reduce(filtered_data, state.processing_queue, fn data, queue ->
            :queue.in(data, queue)
          end)

        schedule_data_collection()
        {:noreply, [], %{state | processing_queue: updated_queue}}
      end

      defp generate_climate_data_batches(demand, state) do
        Enum.map(1..demand, fn _ ->
          case :queue.out(state.processing_queue) do
            {{:value, data}, _} ->
              %{
                type: :climate_data,
                source: data.source,
                timestamp: data.timestamp,
                location: data.coordinates,
                measurements: data.measurements,
                urgency: calculate_urgency(data),
                processing_requirements: determine_processing_needs(data)
              }

            {:empty, _} ->
              nil
          end
        end)
        |> Enum.filter(&(&1 != nil))
      end

      defp collect_global_climate_data(sources) do
        # Simulate collecting from thousands of global data sources
        Enum.flat_map(sources, fn source ->
          generate_source_data(source, :rand.uniform(100))
        end)
      end

      defp generate_source_data(source, count) do
        Enum.map(1..count, fn _i ->
          %{
            source: source,
            timestamp: DateTime.utc_now(),
            coordinates: generate_random_coordinates(),
            measurements: generate_measurements(source),
            quality_score: :rand.uniform(),
            anomaly_detected: :rand.uniform() > 0.95
          }
        end)
      end

      defp calculate_urgency(data) do
        cond do
          data.anomaly_detected -> :critical
          data.quality_score < 0.3 -> :low
          data.source in [:emergency_sensors, :disaster_monitors] -> :high
          true -> :medium
        end
      end

      defp schedule_data_collection do
        Process.send_after(self(), :collect_data, 1000)
      end

      defp initialize_quality_filters, do: %{}
      defp apply_quality_filters(data, _filters), do: data
      defp generate_random_coordinates, do: {:rand.uniform(180) - 90, :rand.uniform(360) - 180}
      defp generate_measurements(_source), do: %{temperature: :rand.uniform() * 50 - 10}
      defp determine_processing_needs(_data), do: [:analysis, :modeling, :prediction]
    end

    defmodule ClimateModelingAgent do
      use GenStage

      defstruct [:agent_id, :specialization, :model_cache, :processing_history]

      def start_link(opts) do
        agent_id = Keyword.fetch!(opts, :agent_id)
        GenStage.start_link(__MODULE__, opts, name: :"climate_agent_#{agent_id}")
      end

      @impl true
      def init(opts) do
        state = %__MODULE__{
          agent_id: Keyword.fetch!(opts, :agent_id),
          specialization: Keyword.get(opts, :specialization, :general_modeling),
          model_cache: %{},
          processing_history: []
        }

        {:producer_consumer, state}
      end

      @impl true
      def handle_events(events, _from, state) do
        processed_results =
          Enum.map(events, fn event ->
            process_climate_data(event, state)
          end)

        # Update processing history
        updated_history = [
          %{timestamp: DateTime.utc_now(), events_processed: length(events)}
          | Enum.take(state.processing_history, 99)
        ]

        updated_state = %{state | processing_history: updated_history}

        {:noreply, processed_results, updated_state}
      end

      defp process_climate_data(data, state) do
        case state.specialization do
          :atmospheric_modeling -> process_atmospheric_data(data, state)
          :ocean_modeling -> process_ocean_data(data, state)
          :ice_modeling -> process_ice_data(data, state)
          :ecosystem_modeling -> process_ecosystem_data(data, state)
          :urban_climate -> process_urban_data(data, state)
          :extreme_weather -> process_extreme_weather_data(data, state)
          _ -> process_general_climate_data(data, state)
        end
      end

      defp process_atmospheric_data(data, state) do
        # Advanced atmospheric modeling with AI
        model_result = run_atmospheric_model(data, state.model_cache)

        %{
          type: :atmospheric_prediction,
          agent_id: state.agent_id,
          input_data: data,
          predictions: model_result.predictions,
          confidence: model_result.confidence,
          model_version: model_result.version,
          processing_time: model_result.processing_time,
          alerts: detect_atmospheric_alerts(model_result),
          next_actions: recommend_actions(model_result)
        }
      end

      defp process_ocean_data(data, state) do
        # Ocean current and temperature modeling
        %{
          type: :ocean_prediction,
          agent_id: state.agent_id,
          ocean_currents: simulate_ocean_currents(data),
          temperature_trends: analyze_temperature_trends(data),
          acidification_levels: calculate_acidification(data),
          marine_ecosystem_impact: assess_marine_impact(data)
        }
      end

      defp process_extreme_weather_data(data, state) do
        # Extreme weather prediction and early warning
        %{
          type: :extreme_weather_alert,
          agent_id: state.agent_id,
          threat_level: assess_threat_level(data),
          predicted_events: predict_extreme_events(data),
          affected_regions: identify_affected_regions(data),
          recommended_preparations: generate_preparation_recommendations(data),
          timeline: calculate_event_timeline(data)
        }
      end

      # Simplified implementations for modeling functions
      defp run_atmospheric_model(_data, _cache) do
        %{
          predictions: %{
            temperature_change: :rand.uniform() * 5,
            precipitation: :rand.uniform() * 100
          },
          confidence: :rand.uniform(),
          version: "v2.1",
          processing_time: :rand.uniform(1000)
        }
      end

      defp detect_atmospheric_alerts(model_result) do
        if model_result.predictions.temperature_change > 3.0 do
          [:extreme_temperature_warning]
        else
          []
        end
      end

      defp recommend_actions(model_result) do
        cond do
          model_result.confidence > 0.9 -> [:immediate_action_required]
          model_result.confidence > 0.7 -> [:prepare_response_teams]
          true -> [:continue_monitoring]
        end
      end

      defp simulate_ocean_currents(_data),
        do: %{gulf_stream: :stable, pacific_currents: :changing}

      defp analyze_temperature_trends(_data), do: %{surface: :warming, deep: :stable}
      defp calculate_acidification(_data), do: %{ph_level: 8.1, trend: :decreasing}

      defp assess_marine_impact(_data),
        do: %{coral_reefs: :stressed, fish_populations: :declining}

      defp assess_threat_level(_data), do: :moderate
      defp predict_extreme_events(_data), do: [:hurricane, :heatwave]
      defp identify_affected_regions(_data), do: ["Southeast US", "Caribbean"]

      defp generate_preparation_recommendations(_data),
        do: [:evacuate_coastal, :stockpile_supplies]

      defp calculate_event_timeline(_data),
        do: %{onset: DateTime.add(DateTime.utc_now(), 72, :hour)}

      defp process_ice_data(data, state), do: process_general_climate_data(data, state)
      defp process_ecosystem_data(data, state), do: process_general_climate_data(data, state)
      defp process_urban_data(data, state), do: process_general_climate_data(data, state)

      defp process_general_climate_data(data, state) do
        %{
          type: :general_analysis,
          agent_id: state.agent_id,
          summary: "Processed #{data.type} data",
          timestamp: DateTime.utc_now()
        }
      end
    end

    defmodule ResponseCoordinator do
      use GenStage

      defstruct [:coordination_strategy, :active_responses, :resource_allocator]

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(_opts) do
        state = %__MODULE__{
          coordination_strategy: :global_priority,
          active_responses: %{},
          resource_allocator: initialize_resource_allocator()
        }

        {:consumer, state}
      end

      @impl true
      def handle_events(events, _from, state) do
        # Coordinate global response based on predictions and alerts
        coordinated_responses = coordinate_global_response(events, state)

        # Execute response actions
        Enum.each(coordinated_responses, &execute_response_action/1)

        updated_state = update_active_responses(state, coordinated_responses)
        {:noreply, [], updated_state}
      end

      defp coordinate_global_response(events, state) do
        # Group events by urgency and region
        grouped_events = group_events_by_priority(events)

        # Allocate resources and coordinate responses
        Enum.flat_map(grouped_events, fn {priority, region_events} ->
          case priority do
            :critical -> coordinate_emergency_response(region_events, state)
            :high -> coordinate_high_priority_response(region_events, state)
            :medium -> coordinate_standard_response(region_events, state)
            :low -> coordinate_monitoring_response(region_events, state)
          end
        end)
      end

      defp coordinate_emergency_response(events, _state) do
        Enum.map(events, fn event ->
          %{
            type: :emergency_response,
            event_id: generate_response_id(),
            target_regions: extract_regions(event),
            actions: [
              :activate_emergency_protocols,
              :deploy_response_teams,
              :issue_public_warnings,
              :coordinate_with_authorities
            ],
            resources_required: calculate_emergency_resources(event),
            timeline: :immediate,
            coordination_level: :international
          }
        end)
      end

      defp execute_response_action(response) do
        # Execute the coordinated response action
        case response.type do
          :emergency_response -> execute_emergency_response(response)
          :high_priority_response -> execute_high_priority_response(response)
          :standard_response -> execute_standard_response(response)
          :monitoring_response -> execute_monitoring_response(response)
        end
      end

      defp execute_emergency_response(response) do
        # Coordinate with global emergency response systems
        IO.puts(
          "EMERGENCY: Activating global response for regions: #{inspect(response.target_regions)}"
        )

        # Would integrate with real emergency response systems
      end

      # Simplified implementations
      defp initialize_resource_allocator, do: %{available_teams: 1000, equipment_pools: %{}}

      defp group_events_by_priority(events) do
        Enum.group_by(events, fn event ->
          Map.get(event, :urgency, :medium)
        end)
      end

      defp generate_response_id, do: "response_#{System.unique_integer([:positive])}"
      defp extract_regions(_event), do: ["Global"]

      defp calculate_emergency_resources(_event),
        do: %{teams: 10, equipment: [:sensors, :communication]}

      defp coordinate_high_priority_response(_events, _state), do: []
      defp coordinate_standard_response(_events, _state), do: []
      defp coordinate_monitoring_response(_events, _state), do: []
      defp execute_high_priority_response(_response), do: :ok
      defp execute_standard_response(_response), do: :ok
      defp execute_monitoring_response(_response), do: :ok
      defp update_active_responses(state, _responses), do: state
    end

    def start_climate_response_system(num_agents \\ 10000) do
      # Start the climate response system with massive parallelization
      children =
        [
          {ClimateDataProducer, []},
          {ResponseCoordinator, []}
        ] ++ create_modeling_agents(num_agents)

      Supervisor.start_link(children,
        strategy: :one_for_one,
        name: GlobalClimateResponseSupervisor,
        max_restarts: 1000,
        max_seconds: 60
      )
    end

    defp create_modeling_agents(num_agents) do
      specializations = [
        :atmospheric_modeling,
        :ocean_modeling,
        :ice_modeling,
        :ecosystem_modeling,
        :urban_climate,
        :extreme_weather,
        :carbon_cycle,
        :renewable_energy,
        :agriculture_impact
      ]

      Enum.map(1..num_agents, fn agent_id ->
        specialization = Enum.at(specializations, rem(agent_id, length(specializations)))

        {ClimateModelingAgent,
         [
           agent_id: agent_id,
           specialization: specialization,
           subscribe_to: [{ClimateDataProducer, max_demand: 10}]
         ]}
      end)
    end
  end

  defmodule UniversalHealthcareSystem do
    @moduledoc """
    World-changing project: Universal healthcare optimization platform
    with 10,000+ agents managing global health infrastructure.
    """

    defmodule HealthDataProducer do
      use GenStage

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(_opts) do
        schedule_health_data_collection()
        {:producer, %{data_streams: initialize_health_data_streams()}}
      end

      @impl true
      def handle_demand(demand, state) do
        health_data_batches = generate_health_data_batches(demand, state)
        {:noreply, health_data_batches, state}
      end

      @impl true
      def handle_info(:collect_health_data, state) do
        schedule_health_data_collection()
        {:noreply, [], state}
      end

      defp initialize_health_data_streams do
        %{
          patient_monitoring: %{active_patients: 1_000_000, sensors_per_patient: 5},
          hospital_systems: %{facilities: 50_000, departments_per_facility: 10},
          research_data: %{ongoing_studies: 10_000, participants: 5_000_000},
          pharmaceutical: %{drugs_in_development: 5000, clinical_trials: 3000},
          public_health: %{disease_surveillance: true, outbreak_monitoring: true},
          genomic_data: %{genome_sequences: 10_000_000, variants_tracked: 1_000_000}
        }
      end

      defp generate_health_data_batches(demand, _state) do
        Enum.map(1..demand, fn _ ->
          data_type = Enum.random([:patient_data, :research_data, :public_health, :genomic_data])

          %{
            type: data_type,
            timestamp: DateTime.utc_now(),
            priority: calculate_health_priority(data_type),
            data_payload: generate_health_payload(data_type),
            processing_requirements: get_processing_requirements(data_type),
            privacy_level: determine_privacy_level(data_type),
            geographic_scope: determine_geographic_scope()
          }
        end)
      end

      defp calculate_health_priority(:patient_data),
        do: if(:rand.uniform() > 0.9, do: :critical, else: :high)

      defp calculate_health_priority(:public_health), do: :high
      defp calculate_health_priority(:genomic_data), do: :medium
      defp calculate_health_priority(_), do: :medium

      defp generate_health_payload(:patient_data) do
        %{
          patient_id: "patient_#{:rand.uniform(1_000_000)}",
          vital_signs: generate_vital_signs(),
          symptoms: generate_symptoms(),
          medical_history: generate_medical_history(),
          current_treatments: generate_treatments()
        }
      end

      defp generate_health_payload(:public_health) do
        %{
          disease_outbreaks: detect_disease_outbreaks(),
          vaccination_rates: calculate_vaccination_rates(),
          health_trends: analyze_health_trends(),
          resource_availability: assess_resource_availability()
        }
      end

      defp schedule_health_data_collection do
        Process.send_after(self(), :collect_health_data, 100)
      end

      # Simplified helper functions
      defp get_processing_requirements(_type),
        do: [:analysis, :diagnosis_support, :treatment_recommendation]

      defp determine_privacy_level(_type), do: :high_privacy

      defp determine_geographic_scope,
        do: Enum.random(["North America", "Europe", "Asia", "Global"])

      defp generate_vital_signs,
        do: %{heart_rate: 60 + :rand.uniform(40), blood_pressure: "120/80"}

      defp generate_symptoms,
        do: Enum.take(["fever", "cough", "fatigue", "headache"], :rand.uniform(3))

      defp generate_medical_history, do: ["hypertension", "diabetes"]
      defp generate_treatments, do: ["medication_a", "therapy_b"]
      defp detect_disease_outbreaks, do: []
      defp calculate_vaccination_rates, do: %{covid19: 0.85, flu: 0.60}
      defp analyze_health_trends, do: %{obesity: :increasing, heart_disease: :stable}
      defp assess_resource_availability, do: %{hospital_beds: 0.75, ventilators: 0.90}
    end

    defmodule HealthcareAgent do
      use GenStage

      defstruct [:agent_id, :specialization, :patient_assignments, :performance_metrics]

      def start_link(opts) do
        agent_id = Keyword.fetch!(opts, :agent_id)
        GenStage.start_link(__MODULE__, opts, name: :"health_agent_#{agent_id}")
      end

      @impl true
      def init(opts) do
        state = %__MODULE__{
          agent_id: Keyword.fetch!(opts, :agent_id),
          specialization: Keyword.get(opts, :specialization, :general_medicine),
          patient_assignments: [],
          performance_metrics: initialize_performance_metrics()
        }

        {:producer_consumer, state}
      end

      @impl true
      def handle_events(events, _from, state) do
        processed_results =
          Enum.map(events, fn event ->
            process_health_data(event, state)
          end)

        {:noreply, processed_results, state}
      end

      defp process_health_data(data, state) do
        case {data.type, state.specialization} do
          {:patient_data, :emergency_medicine} ->
            process_emergency_case(data, state)

          {:patient_data, :diagnostics} ->
            process_diagnostic_case(data, state)

          {:patient_data, :treatment_planning} ->
            process_treatment_planning(data, state)

          {:research_data, :clinical_research} ->
            process_clinical_research(data, state)

          {:public_health, :epidemiology} ->
            process_epidemiological_data(data, state)

          {:genomic_data, :genomics} ->
            process_genomic_analysis(data, state)

          _ ->
            process_general_health_data(data, state)
        end
      end

      defp process_emergency_case(data, state) do
        vital_signs = data.data_payload.vital_signs
        severity = assess_emergency_severity(vital_signs)

        %{
          type: :emergency_assessment,
          agent_id: state.agent_id,
          patient_id: data.data_payload.patient_id,
          severity_level: severity,
          immediate_actions: determine_immediate_actions(severity, vital_signs),
          resource_needs: calculate_emergency_resources(severity),
          estimated_treatment_time: estimate_treatment_time(severity),
          specialist_consultation: requires_specialist?(severity, vital_signs)
        }
      end

      defp process_diagnostic_case(data, state) do
        symptoms = data.data_payload.symptoms
        medical_history = data.data_payload.medical_history

        diagnosis_result = run_diagnostic_ai(symptoms, medical_history)

        %{
          type: :diagnosis,
          agent_id: state.agent_id,
          patient_id: data.data_payload.patient_id,
          preliminary_diagnosis: diagnosis_result.primary_diagnosis,
          differential_diagnosis: diagnosis_result.differential_diagnoses,
          confidence_score: diagnosis_result.confidence,
          recommended_tests: diagnosis_result.recommended_tests,
          urgency_level: diagnosis_result.urgency,
          follow_up_timeline: diagnosis_result.follow_up
        }
      end

      defp process_clinical_research(data, state) do
        %{
          type: :research_analysis,
          agent_id: state.agent_id,
          study_insights: analyze_research_data(data),
          statistical_significance: calculate_statistical_significance(data),
          clinical_implications: determine_clinical_implications(data),
          publication_potential: assess_publication_potential(data)
        }
      end

      # Simplified helper functions
      defp initialize_performance_metrics, do: %{cases_processed: 0, accuracy_rate: 0.95}

      defp assess_emergency_severity(_vital_signs),
        do: Enum.random([:low, :medium, :high, :critical])

      defp determine_immediate_actions(:critical, _),
        do: [:immediate_stabilization, :emergency_surgery]

      defp determine_immediate_actions(:high, _), do: [:urgent_intervention, :specialist_consult]
      defp determine_immediate_actions(_, _), do: [:standard_care, :monitoring]

      defp calculate_emergency_resources(:critical),
        do: %{staff: 5, equipment: [:ventilator, :defibrillator]}

      defp calculate_emergency_resources(_), do: %{staff: 2, equipment: [:monitors]}
      # 4 hours
      defp estimate_treatment_time(:critical), do: 240
      defp estimate_treatment_time(_), do: 60
      defp requires_specialist?(:critical, _), do: true
      defp requires_specialist?(_, _), do: false

      defp run_diagnostic_ai(symptoms, _history) do
        %{
          primary_diagnosis: "Condition based on #{length(symptoms)} symptoms",
          differential_diagnoses: ["Alternative diagnosis 1", "Alternative diagnosis 2"],
          confidence: :rand.uniform(),
          recommended_tests: ["Blood test", "X-ray"],
          urgency: :medium,
          follow_up: "1 week"
        }
      end

      defp analyze_research_data(_data), do: "Research insights generated"
      defp calculate_statistical_significance(_data), do: 0.05
      defp determine_clinical_implications(_data), do: "Significant clinical impact"
      defp assess_publication_potential(_data), do: :high
      defp process_treatment_planning(data, state), do: process_general_health_data(data, state)
      defp process_epidemiological_data(data, state), do: process_general_health_data(data, state)
      defp process_genomic_analysis(data, state), do: process_general_health_data(data, state)

      defp process_general_health_data(data, state) do
        %{
          type: :general_analysis,
          agent_id: state.agent_id,
          summary: "Processed #{data.type} data",
          timestamp: DateTime.utc_now()
        }
      end
    end

    def start_healthcare_system(num_agents \\ 10000) do
      children =
        [
          {HealthDataProducer, []},
          {GlobalHealthCoordinator, []}
        ] ++ create_healthcare_agents(num_agents)

      Supervisor.start_link(children,
        strategy: :one_for_one,
        name: UniversalHealthcareSupervisor
      )
    end

    defp create_healthcare_agents(num_agents) do
      specializations = [
        :emergency_medicine,
        :diagnostics,
        :treatment_planning,
        :clinical_research,
        :epidemiology,
        :genomics,
        :pharmacy,
        :surgery,
        :mental_health,
        :pediatrics
      ]

      Enum.map(1..num_agents, fn agent_id ->
        specialization = Enum.at(specializations, rem(agent_id, length(specializations)))

        {HealthcareAgent,
         [
           agent_id: agent_id,
           specialization: specialization,
           subscribe_to: [{HealthDataProducer, max_demand: 5}]
         ]}
      end)
    end

    defmodule GlobalHealthCoordinator do
      use GenStage

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(_opts) do
        {:consumer, %{global_health_status: %{}, coordination_strategies: %{}}}
      end

      @impl true
      def handle_events(events, _from, state) do
        # Coordinate global healthcare responses
        coordinate_global_healthcare(events, state)
        {:noreply, [], state}
      end

      defp coordinate_global_healthcare(events, _state) do
        # Group by urgency and coordinate international response
        urgent_cases =
          Enum.filter(events, fn event ->
            Map.get(event, :severity_level) == :critical or
              Map.get(event, :urgency_level) == :critical
          end)

        if length(urgent_cases) > 10 do
          # Trigger international healthcare coordination
          IO.puts("ALERT: #{length(urgent_cases)} critical healthcare cases detected globally")
        end
      end
    end
  end

  defmodule AutonomousCodebaseCollaboration do
    @moduledoc """
    GenStage system for 10,000+ agents collaborating on massive shared codebases
    for world-changing software projects.
    """

    defmodule CodebaseEventProducer do
      use GenStage

      defstruct [:repositories, :event_stream, :conflict_detector]

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(opts) do
        repositories = initialize_repositories(opts)

        state = %__MODULE__{
          repositories: repositories,
          event_stream: :queue.new(),
          conflict_detector: initialize_conflict_detector()
        }

        # Start monitoring repository changes
        schedule_repository_scan()

        {:producer, state}
      end

      @impl true
      def handle_demand(demand, state) do
        codebase_events = generate_codebase_events(demand, state)
        {:noreply, codebase_events, state}
      end

      @impl true
      def handle_info(:scan_repositories, state) do
        # Scan all repositories for changes and generate events
        new_events = scan_all_repositories(state.repositories)

        updated_stream =
          Enum.reduce(new_events, state.event_stream, fn event, stream ->
            :queue.in(event, stream)
          end)

        schedule_repository_scan()
        {:noreply, [], %{state | event_stream: updated_stream}}
      end

      defp initialize_repositories(_opts) do
        # Simulate massive distributed repositories
        %{
          climate_modeling: %{
            url: "https://github.com/global/climate-modeling",
            branches: 500,
            contributors: 2000,
            files: 100_000,
            languages: [:python, :rust, :julia, :c]
          },
          healthcare_platform: %{
            url: "https://github.com/global/healthcare-platform",
            branches: 300,
            contributors: 1500,
            files: 80_000,
            languages: [:elixir, :python, :javascript, :go]
          },
          smart_city_os: %{
            url: "https://github.com/global/smart-city-os",
            branches: 400,
            contributors: 1200,
            files: 120_000,
            languages: [:rust, :javascript, :python, :kotlin]
          }
        }
      end

      defp generate_codebase_events(demand, state) do
        Enum.map(1..demand, fn _ ->
          case :queue.out(state.event_stream) do
            {{:value, event}, _} -> event
            {:empty, _} -> generate_synthetic_event()
          end
        end)
      end

      defp scan_all_repositories(repositories) do
        Enum.flat_map(repositories, fn {repo_name, repo_config} ->
          generate_repository_events(repo_name, repo_config)
        end)
      end

      defp generate_repository_events(repo_name, repo_config) do
        # Simulate various types of repository events
        event_types = [
          :code_change,
          :pull_request,
          :issue_created,
          :merge_conflict,
          :test_failure,
          :deployment_request,
          :security_alert,
          :performance_issue
        ]

        num_events = :rand.uniform(50)

        Enum.map(1..num_events, fn _ ->
          event_type = Enum.random(event_types)

          %{
            type: event_type,
            repository: repo_name,
            timestamp: DateTime.utc_now(),
            details: generate_event_details(event_type, repo_config),
            priority: calculate_event_priority(event_type),
            affected_files: generate_affected_files(repo_config),
            contributor: generate_contributor_id(),
            branch: generate_branch_name(repo_config)
          }
        end)
      end

      defp generate_event_details(:code_change, _repo_config) do
        %{
          lines_added: :rand.uniform(500),
          lines_removed: :rand.uniform(200),
          files_modified: :rand.uniform(10),
          commit_message: "Implemented new feature/bugfix",
          test_coverage_change: (:rand.uniform() - 0.5) * 10
        }
      end

      defp generate_event_details(:merge_conflict, _repo_config) do
        %{
          conflicting_branches: [generate_branch_name(), generate_branch_name()],
          conflict_type: Enum.random([:structural, :logical, :textual]),
          complexity: Enum.random([:simple, :moderate, :complex]),
          auto_resolvable: :rand.uniform() > 0.7
        }
      end

      defp generate_event_details(:security_alert, _repo_config) do
        %{
          vulnerability_type: Enum.random([:sql_injection, :xss, :csrf, :dependency]),
          severity: Enum.random([:low, :medium, :high, :critical]),
          affected_components: generate_affected_components(),
          cve_id: "CVE-2024-#{:rand.uniform(9999)}"
        }
      end

      defp calculate_event_priority(:security_alert), do: :critical
      defp calculate_event_priority(:merge_conflict), do: :high
      defp calculate_event_priority(:test_failure), do: :high
      defp calculate_event_priority(_), do: :medium

      defp generate_synthetic_event do
        %{
          type: :code_change,
          repository: :climate_modeling,
          timestamp: DateTime.utc_now(),
          details: %{lines_added: 50, lines_removed: 20},
          priority: :medium,
          affected_files: ["src/climate_model.py"],
          contributor: "agent_#{:rand.uniform(10000)}",
          branch: "feature/model-improvement"
        }
      end

      # Simplified helper functions
      defp initialize_conflict_detector, do: %{}
      defp schedule_repository_scan, do: Process.send_after(self(), :scan_repositories, 5000)
      defp generate_affected_files(_repo_config), do: ["file1.py", "file2.rs"]
      defp generate_contributor_id, do: "contributor_#{:rand.uniform(10000)}"
      defp generate_branch_name(_repo_config \\ nil), do: "branch_#{:rand.uniform(500)}"
      defp generate_affected_components, do: ["auth_module", "data_processor"]
    end

    defmodule CollaborativeAgent do
      use GenStage

      defstruct [:agent_id, :role, :expertise, :current_assignments, :collaboration_network]

      def start_link(opts) do
        agent_id = Keyword.fetch!(opts, :agent_id)
        GenStage.start_link(__MODULE__, opts, name: :"collab_agent_#{agent_id}")
      end

      @impl true
      def init(opts) do
        state = %__MODULE__{
          agent_id: Keyword.fetch!(opts, :agent_id),
          role: Keyword.get(opts, :role, :developer),
          expertise: Keyword.get(opts, :expertise, [:general_programming]),
          current_assignments: [],
          collaboration_network: initialize_collaboration_network()
        }

        {:producer_consumer, state}
      end

      @impl true
      def handle_events(events, _from, state) do
        processed_results =
          Enum.map(events, fn event ->
            process_codebase_event(event, state)
          end)

        {:noreply, processed_results, state}
      end

      defp process_codebase_event(event, state) do
        case {event.type, state.role} do
          {:code_change, :code_reviewer} ->
            process_code_review(event, state)

          {:merge_conflict, :conflict_resolver} ->
            process_merge_conflict(event, state)

          {:security_alert, :security_specialist} ->
            process_security_alert(event, state)

          {:test_failure, :test_engineer} ->
            process_test_failure(event, state)

          {:performance_issue, :performance_engineer} ->
            process_performance_issue(event, state)

          _ ->
            process_general_codebase_event(event, state)
        end
      end

      defp process_code_review(event, state) do
        review_result = perform_automated_code_review(event.details, state.expertise)

        %{
          type: :code_review_result,
          agent_id: state.agent_id,
          event_id: generate_event_id(),
          repository: event.repository,
          review_score: review_result.score,
          suggestions: review_result.suggestions,
          security_concerns: review_result.security_issues,
          performance_impact: review_result.performance_analysis,
          approval_status: review_result.status,
          collaboration_needed: identify_collaboration_needs(review_result, state)
        }
      end

      defp process_merge_conflict(event, state) do
        resolution_strategy = analyze_merge_conflict(event.details)

        %{
          type: :conflict_resolution,
          agent_id: state.agent_id,
          event_id: generate_event_id(),
          repository: event.repository,
          resolution_strategy: resolution_strategy.strategy,
          automated_resolution: resolution_strategy.can_auto_resolve,
          manual_steps_required: resolution_strategy.manual_steps,
          estimated_resolution_time: resolution_strategy.estimated_time,
          collaboration_agents: find_collaboration_agents(event, state)
        }
      end

      defp process_security_alert(event, state) do
        security_analysis = analyze_security_vulnerability(event.details)

        %{
          type: :security_response,
          agent_id: state.agent_id,
          event_id: generate_event_id(),
          repository: event.repository,
          threat_assessment: security_analysis.threat_level,
          immediate_actions: security_analysis.immediate_actions,
          patch_strategy: security_analysis.patch_strategy,
          affected_systems: security_analysis.affected_systems,
          coordination_required: security_analysis.requires_coordination
        }
      end

      defp perform_automated_code_review(details, expertise) do
        base_score = :rand.uniform()

        # Adjust score based on agent expertise
        expertise_bonus = if :code_quality in expertise, do: 0.2, else: 0.0
        final_score = min(1.0, base_score + expertise_bonus)

        %{
          score: final_score,
          suggestions: generate_code_suggestions(details),
          security_issues: detect_security_issues(details),
          performance_analysis: analyze_performance_impact(details),
          status: if(final_score > 0.8, do: :approved, else: :needs_changes)
        }
      end

      defp analyze_merge_conflict(details) do
        %{
          strategy: if(details.auto_resolvable, do: :automatic, else: :manual),
          can_auto_resolve: details.auto_resolvable,
          manual_steps:
            if(details.auto_resolvable, do: [], else: ["resolve_conflicts", "test_changes"]),
          estimated_time: if(details.auto_resolvable, do: 5, else: 60)
        }
      end

      defp analyze_security_vulnerability(details) do
        %{
          threat_level: details.severity,
          immediate_actions: determine_security_actions(details.severity),
          patch_strategy: determine_patch_strategy(details),
          affected_systems: details.affected_components,
          requires_coordination: details.severity in [:high, :critical]
        }
      end

      # Simplified helper functions
      defp initialize_collaboration_network, do: %{connected_agents: [], trust_scores: %{}}
      defp generate_event_id, do: "event_#{System.unique_integer([:positive])}"
      defp identify_collaboration_needs(_review_result, _state), do: []
      defp find_collaboration_agents(_event, _state), do: []
      defp generate_code_suggestions(_details), do: ["Extract method", "Improve naming"]
      defp detect_security_issues(_details), do: []
      defp analyze_performance_impact(_details), do: %{impact: :minimal, suggestions: []}
      defp determine_security_actions(:critical), do: [:immediate_patch, :isolate_systems]
      defp determine_security_actions(_), do: [:schedule_patch, :monitor_systems]
      defp determine_patch_strategy(_details), do: :immediate_fix
      defp process_test_failure(event, state), do: process_general_codebase_event(event, state)

      defp process_performance_issue(event, state),
        do: process_general_codebase_event(event, state)

      defp process_general_codebase_event(event, state) do
        %{
          type: :general_processing,
          agent_id: state.agent_id,
          event_type: event.type,
          repository: event.repository,
          timestamp: DateTime.utc_now()
        }
      end
    end

    def start_collaborative_system(num_agents \\ 10000) do
      children =
        [
          {CodebaseEventProducer, []},
          {CollaborationCoordinator, []}
        ] ++ create_collaborative_agents(num_agents)

      Supervisor.start_link(children,
        strategy: :one_for_one,
        name: AutonomousCodebaseCollaborationSupervisor
      )
    end

    defp create_collaborative_agents(num_agents) do
      roles = [
        :developer,
        :code_reviewer,
        :test_engineer,
        :security_specialist,
        :performance_engineer,
        :conflict_resolver,
        :documentation_writer,
        :architecture_designer,
        :devops_engineer,
        :quality_assurance
      ]

      expertise_areas = [
        :web_development,
        :systems_programming,
        :machine_learning,
        :security,
        :performance_optimization,
        :testing,
        :devops,
        :data_engineering,
        :mobile_development,
        :embedded_systems
      ]

      Enum.map(1..num_agents, fn agent_id ->
        role = Enum.at(roles, rem(agent_id, length(roles)))
        expertise = Enum.take_random(expertise_areas, :rand.uniform(3) + 1)

        {CollaborativeAgent,
         [
           agent_id: agent_id,
           role: role,
           expertise: expertise,
           subscribe_to: [{CodebaseEventProducer, max_demand: 3}]
         ]}
      end)
    end

    defmodule CollaborationCoordinator do
      use GenStage

      def start_link(opts) do
        GenStage.start_link(__MODULE__, opts, name: __MODULE__)
      end

      @impl true
      def init(_opts) do
        {:consumer, %{coordination_strategies: initialize_coordination_strategies()}}
      end

      @impl true
      def handle_events(events, _from, state) do
        # Coordinate complex multi-agent collaborations
        coordinate_multi_agent_tasks(events, state)
        {:noreply, [], state}
      end

      defp coordinate_multi_agent_tasks(events, _state) do
        # Group events that require multi-agent coordination
        coordination_events =
          Enum.filter(events, fn event ->
            requires_coordination?(event)
          end)

        Enum.each(coordination_events, &coordinate_event/1)
      end

      defp requires_coordination?(event) do
        case event do
          %{type: :security_response, coordination_required: true} -> true
          %{type: :conflict_resolution, collaboration_agents: [_ | _]} -> true
          %{type: :code_review_result, collaboration_needed: [_ | _]} -> true
          _ -> false
        end
      end

      defp coordinate_event(event) do
        IO.puts("Coordinating multi-agent collaboration for #{event.type} in #{event.repository}")
        # Would implement sophisticated coordination logic
      end

      defp initialize_coordination_strategies do
        %{
          conflict_resolution: :distributed_consensus,
          security_response: :immediate_escalation,
          code_review: :peer_review_network,
          performance_optimization: :collaborative_profiling
        }
      end
    end
  end
end
