102 claude

defmodule Foundation.Config.Schema do
  @moduledoc """
  Schema-based configuration validation with type checking and constraints.
  """
  
  @callback schema() :: map()
  @callback validate(config :: map()) :: :ok | {:error, [validation_error()]}
  
  defmacro defconfig(do: block) do
    quote do
      @behaviour Foundation.Config.Schema
      import Foundation.Config.Schema
      unquote(block)
    end
  end
  
  defmacro field(name, type, opts \\ []) do
    # Define field with type, constraints, and dependencies
  end
end

# Usage example
defmodule MyApp.Config do
  use Foundation.Config.Schema
  
  defconfig do
    field :database_url, :string, required: true, format: ~r/^postgres:\/\//
    field :pool_size, :integer, default: 10, min: 1, max: 100
    field :cache_enabled, :boolean, default: true
    field :cache_ttl, :integer, default: 3600, depends_on: [:cache_enabled]
  end
end

# Hot reloading with dependency tracking
Foundation.Config.register_schema(MyApp.Config)
Foundation.Config.validate_and_update([:myapp], new_config)

defmodule Foundation.ProcessLifecycle do
  @moduledoc """
  Advanced process lifecycle management with health monitoring and graceful shutdown.
  """
  
  @type lifecycle_stage :: :starting | :running | :degraded | :stopping | :stopped
  @type health_status :: :healthy | :degraded | :unhealthy
  
  def register_managed_process(name, pid, opts \\ []) do
    # Register with health check callbacks and shutdown hooks
  end
  
  def set_health_check(name, check_fun) do
    # Define custom health check function
  end
  
  def add_shutdown_hook(name, hook_fun, priority \\ 50) do
    # Add graceful shutdown hooks with priority ordering
  end
  
  def get_process_health(name) do
    # Get comprehensive health status
  end
  
  def graceful_shutdown(name, timeout \\ 30_000) do
    # Coordinated shutdown with dependency ordering
  end
end

# Usage
Foundation.ProcessLifecycle.register_managed_process(
  :my_service, 
  pid,
  health_check: &MyService.health_check/0,
  shutdown_hooks: [
    {&MyService.flush_buffers/0, 100},
    {&MyService.close_connections/0, 50}
  ],
  dependencies: [:database_service]
)

defmodule Foundation.EventStream do
  @moduledoc """
  Distributed event streaming with back-pressure and delivery guarantees.
  """
  
  use GenStage
  
  def create_stream(name, opts \\ []) do
    # Create a named event stream with persistence options
  end
  
  def subscribe_to_stream(stream_name, subscriber_opts \\ []) do
    # Subscribe with filtering, batching, and back-pressure
  end
  
  def publish_event(stream_name, event, opts \\ []) do
    # Publish with delivery guarantees
  end
  
  def create_projection(stream_name, projection_name, reducer_fun) do
    # Create event projections for read models
  end
end

# Usage for complex workflows
{:ok, _} = Foundation.EventStream.create_stream(:optimization_events,
  persistence: :disk,
  partition_by: :correlation_id,
  retention: :timer.hours(24)
)

Foundation.EventStream.subscribe_to_stream(:optimization_events,
  filter: fn event -> event.event_type in [:optimization_started, :iteration_complete] end,
  batch_size: 100,
  batch_timeout: 1000
)

defmodule Foundation.ResourceFederation do
  @moduledoc """
  Federated resource pools with intelligent load balancing and failover.
  """
  
  def create_federation(name, pools, strategy \\ :round_robin) do
    # Create a federated pool across multiple resource pools
  end
  
  def add_pool_to_federation(federation_name, pool_name, weight \\ 1) do
    # Dynamically add pools with weighted distribution
  end
  
  def set_load_balancing_strategy(federation_name, strategy) do
    # Change strategy: :round_robin, :least_loaded, :weighted, :locality_aware
  end
  
  def with_federated_resource(federation_name, fun, opts \\ []) do
    # Execute with automatic failover and load balancing
  end
end

# Example for distributed computing resources
Foundation.ResourceFederation.create_federation(:compute_cluster, [
  {:local_workers, weight: 1.0, locality: :local},
  {:cloud_workers_us_east, weight: 0.8, locality: :us_east},
  {:cloud_workers_eu, weight: 0.6, locality: :eu}
], strategy: :locality_aware)

defmodule Foundation.Analytics do
  @moduledoc """
  Advanced analytics engine with time-series analysis and anomaly detection.
  """
  
  def create_metric_pipeline(name, metric_patterns, transformations \\ []) do
    # Create processing pipeline for metrics
  end
  
  def add_anomaly_detector(metric_name, detector_type, threshold_opts \\ []) do
    # Add anomaly detection: :statistical, :ml_based, :threshold
  end
  
  def create_dashboard(name, metrics, layout \\ :default) do
    # Create real-time dashboards
  end
  
  def set_alert_rule(metric_name, condition, action) do
    # Define alerting rules
  end
  
  def query_metrics(query_spec) do
    # Advanced querying with aggregations and time windows
  end
end

# Usage for performance monitoring
Foundation.Analytics.create_metric_pipeline(:system_health, [
  "foundation.*.duration",
  "foundation.*.error_rate",
  "foundation.*.throughput"
], [
  {:window, :timer.minutes(5)},
  {:aggregate, [:avg, :p95, :p99]},
  {:smooth, :exponential}
])

Foundation.Analytics.add_anomaly_detector(:system_health, :statistical,
  sensitivity: 0.95,
  min_samples: 100
)

defmodule Foundation.Coordination do
  @moduledoc """
  Distributed coordination primitives for multi-node applications.
  """
  
  def create_distributed_lock(name, opts \\ []) do
    # Create distributed mutex with timeout and renewal
  end
  
  def create_leader_election(group_name, opts \\ []) do
    # Leader election with automatic failover
  end
  
  def create_distributed_counter(name, initial_value \\ 0) do
    # Distributed counter with eventual consistency
  end
  
  def create_consensus_group(name, members, opts \\ []) do
    # Raft-based consensus for critical decisions
  end
  
  def coordinate_distributed_task(task_spec, nodes) do
    # Coordinate task execution across multiple nodes
  end
end

# Usage for distributed optimization
{:ok, _} = Foundation.Coordination.create_leader_election(:optimization_coordinator)

Foundation.Coordination.coordinate_distributed_task(%{
  task: :parameter_search,
  work_units: parameter_grid,
  reduce_fun: &find_best_params/2
}, cluster_nodes)

defmodule Foundation.IntelligentCache do
  @moduledoc """
  Multi-tier caching with intelligent invalidation and warming strategies.
  """
  
  def create_cache_tier(name, tier_config) do
    # Create L1 (memory), L2 (local disk), L3 (distributed) tiers
  end
  
  def set_invalidation_strategy(cache_name, strategy) do
    # Strategies: :ttl, :lru, :dependency_based, :ml_predicted
  end
  
  def create_cache_dependency_graph(dependencies) do
    # Model dependencies between cached items
  end
  
  def register_cache_warmer(cache_name, warmer_fun, schedule) do
    # Proactive cache warming based on patterns
  end
  
  def add_cache_analytics(cache_name, analytics_config) do
    # Monitor hit rates, access patterns, cost/benefit
  end
end

# Usage for intelligent caching
Foundation.IntelligentCache.create_cache_tier(:computation_cache, %{
  l1: %{type: :memory, size: "100MB", policy: :lru},
  l2: %{type: :disk, size: "1GB", policy: :lfu},
  l3: %{type: :distributed, size: "10GB", policy: :dependency_aware}
})

Foundation.IntelligentCache.create_cache_dependency_graph([
  {:user_profile, depends_on: [:user_permissions, :user_preferences]},
  {:computation_result, depends_on: [:input_data, :model_version]}
])

defmodule Foundation.Security do
  @moduledoc """
  Comprehensive security and audit framework.
  """
  
  def create_audit_trail(name, event_patterns) do
    # Create tamper-evident audit logs
  end
  
  def add_access_control(resource, policy) do
    # RBAC/ABAC access control
  end
  
  def encrypt_sensitive_data(data, key_id) do
    # Automatic encryption for sensitive data
  end
  
  def create_security_scanner(scan_config) do
    # Automated security scanning
  end
  
  def add_rate_limiting_by_identity(identity, limits) do
    # Identity-based rate limiting
  end
end

defmodule Foundation.Audit do
  def log_sensitive_operation(operation, actor, resource, metadata \\ %{}) do
    # Immutable audit logging
  end
  
  def create_compliance_report(timeframe, standards) do
    # Generate compliance reports (SOC2, GDPR, etc.)
  end
  
  def detect_anomalous_access(patterns) do
    # Anomaly detection for security
  end
end

defmodule Foundation.Workflow do
  @moduledoc """
  Declarative workflow orchestration with state management and recovery.
  """
  
  def define_workflow(name, definition) do
    # Define workflow as a state machine or DAG
  end
  
  def start_workflow_instance(workflow_name, input_data, opts \\ []) do
    # Start execution with checkpointing
  end
  
  def add_step_retry_policy(workflow_name, step_name, policy) do
    # Configure retry behavior per step
  end
  
  def create_workflow_trigger(workflow_name, trigger_spec) do
    # Event-driven workflow triggers
  end
  
  def query_workflow_instances(query) do
    # Query running/completed workflows
  end
end

# Usage for complex multi-step processes
Foundation.Workflow.define_workflow(:data_processing, %{
  steps: [
    {:validate_input, &validate_data/1, retry: :exponential_backoff},
    {:transform_data, &transform/1, parallel: true},
    {:store_results, &store/1, timeout: 30_000}
  ],
  error_handling: :compensate,
  checkpointing: :after_each_step
})

defmodule Foundation.ResourceOptimizer do
  @moduledoc """
  Intelligent resource usage optimization and monitoring.
  """
  
  def monitor_resource_usage(resource_types \\ [:memory, :cpu, :disk, :network]) do
    # Continuous resource monitoring
  end
  
  def set_optimization_goals(goals) do
    # Define optimization objectives: :cost, :performance, :sustainability
  end
  
  def create_resource_budget(name, budget_spec) do
    # Define and enforce resource budgets
  end
  
  def add_scaling_policy(service_name, policy) do
    # Automatic scaling based on metrics
  end
  
  def optimize_resource_allocation(services, constraints) do
    # ML-based resource allocation optimization
  end
end

# Usage for resource management
Foundation.ResourceOptimizer.monitor_resource_usage()

Foundation.ResourceOptimizer.create_resource_budget(:development_env, %{
  memory: "2GB",
  cpu: "2 cores",
  disk_io: "100MB/s",
  network: "50MB/s"
})

Foundation.ResourceOptimizer.add_scaling_policy(:worker_pool, %{
  metric: :queue_length,
  scale_up_threshold: 100,
  scale_down_threshold: 10,
  min_instances: 2,
  max_instances: 50
})