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01 SCHEMA ENGINE IMPLEMENTATION

Documentation for 01_SCHEMA_ENGINE_IMPLEMENTATION from the Ds ex repository.

Phase 1: Schema Engine Implementation Guide

Detailed Implementation Strategy for Sinter-Powered Schema System

Implementation Overview

This document provides the detailed implementation strategy for the Schema Engine component of Phase 1, including code examples, integration patterns, and step-by-step development approach.

Core Implementation Components

1. Schema Definition Module

defmodule ElixirML.Schema.Definition do
  @moduledoc """
  Core module for schema definition functionality.
  Provides the foundation for schema creation and validation.
  """

  defmacro __using__(_opts) do
    quote do
      # Initialize schema attributes
      Module.register_attribute(__MODULE__, :fields, accumulate: true)
      Module.register_attribute(__MODULE__, :validations, accumulate: true)
      Module.register_attribute(__MODULE__, :transforms, accumulate: true)
      
      # Import schema DSL
      import ElixirML.Schema.DSL
      
      # Ensure compilation hooks
      @before_compile ElixirML.Schema.Definition
    end
  end

  defmacro __before_compile__(env) do
    fields = Module.get_attribute(env.module, :fields, []) |> Enum.reverse()
    validations = Module.get_attribute(env.module, :validations, []) |> Enum.reverse()
    transforms = Module.get_attribute(env.module, :transforms, []) |> Enum.reverse()

    quote do
      def __schema_fields__, do: unquote(Macro.escape(fields))
      def __schema_validations__, do: unquote(Macro.escape(validations))
      def __schema_transforms__, do: unquote(Macro.escape(transforms))
      
      def __schema_metadata__ do
        %{
          fields: __schema_fields__(),
          validations: __schema_validations__(),
          transforms: __schema_transforms__(),
          module: __MODULE__,
          compiled_at: unquote(DateTime.utc_now())
        }
      end
    end
  end
end

2. Schema DSL Implementation

defmodule ElixirML.Schema.DSL do
  @moduledoc """
  Domain Specific Language for schema definition.
  Provides macros for field definition, validation, and transformation.
  """

  defmacro field(name, type, opts \\ []) do
    quote do
      @fields {unquote(name), unquote(type), unquote(opts)}
    end
  end

  defmacro validation(name, do: block) do
    quote do
      @validations {unquote(name), fn data -> 
        unquote(block)
      end}
    end
  end

  defmacro transform(name, do: block) do
    quote do
      @transforms {unquote(name), fn data ->
        unquote(block)
      end}
    end
  end

  # Helper functions for use within validations and transforms
  defmacro field(field_name) do
    quote do
      Map.get(var!(data), unquote(field_name))
    end
  end

  defmacro update_field(field_name, transform_fn) do
    quote do
      Map.update(var!(data), unquote(field_name), nil, unquote(transform_fn))
    end
  end

  defmacro require_field(field_name) do
    quote do
      case Map.get(var!(data), unquote(field_name)) do
        nil -> {:error, "Required field #{unquote(field_name)} is missing"}
        value -> {:ok, value}
      end
    end
  end
end

3. Validation Engine Implementation

defmodule ElixirML.Schema.Validator do
  @moduledoc """
  High-performance validation engine with comprehensive error reporting.
  """

  alias ElixirML.Schema.Types

  @doc """
  Validate data against a schema module.
  """
  def validate(data, schema_module, opts \\ []) do
    metadata = schema_module.__schema_metadata__()
    
    context = %{
      schema_module: schema_module,
      strict: Keyword.get(opts, :strict, true),
      transform: Keyword.get(opts, :transform, true),
      path: [],
      errors: []
    }

    with {:ok, field_validated} <- validate_fields(data, metadata.fields, context),
         {:ok, custom_validated} <- apply_custom_validations(field_validated, metadata.validations, context) do
      
      final_data = if context.transform do
        apply_transforms(custom_validated, metadata.transforms)
      else
        custom_validated
      end
      
      {:ok, final_data}
    else
      {:error, errors} -> {:error, format_validation_errors(errors)}
    end
  end

  defp validate_fields(data, fields, context) do
    {validated_data, errors} = 
      Enum.reduce(fields, {%{}, []}, fn {field_name, field_type, field_opts}, {acc_data, acc_errors} ->
        case validate_single_field(data, field_name, field_type, field_opts, context) do
          {:ok, validated_value} ->
            {Map.put(acc_data, field_name, validated_value), acc_errors}
          {:error, error} ->
            {acc_data, [error | acc_errors]}
        end
      end)

    case errors do
      [] -> {:ok, validated_data}
      _ -> {:error, Enum.reverse(errors)}
    end
  end

  defp validate_single_field(data, field_name, field_type, field_opts, context) do
    field_path = [field_name | context.path]
    
    case Map.get(data, field_name) do
      nil ->
        handle_missing_field(field_name, field_opts, field_path)
      value ->
        validate_field_value(value, field_type, field_opts, field_path)
    end
  end

  defp handle_missing_field(field_name, field_opts, field_path) do
    cond do
      Keyword.get(field_opts, :required, false) ->
        {:error, %{
          path: Enum.reverse(field_path),
          field: field_name,
          message: "Required field is missing",
          code: :required_field_missing
        }}
      
      Keyword.has_key?(field_opts, :default) ->
        {:ok, Keyword.get(field_opts, :default)}
      
      true ->
        {:ok, nil}
    end
  end

  defp validate_field_value(value, field_type, field_opts, field_path) do
    with {:ok, type_validated} <- Types.validate_type(value, field_type),
         {:ok, constraint_validated} <- validate_field_constraints(type_validated, field_opts) do
      {:ok, constraint_validated}
    else
      {:error, message} ->
        {:error, %{
          path: Enum.reverse(field_path),
          message: message,
          value: value,
          expected_type: field_type,
          code: :validation_failed
        }}
    end
  end

  defp validate_field_constraints(value, field_opts) do
    constraints = Keyword.get(field_opts, :constraints, [])
    
    Enum.reduce_while(constraints, {:ok, value}, fn constraint, {:ok, val} ->
      case apply_constraint(val, constraint) do
        {:ok, new_val} -> {:cont, {:ok, new_val}}
        {:error, _} = error -> {:halt, error}
      end
    end)
  end

  defp apply_constraint(value, {:min, min_val}) when is_number(value) do
    if value >= min_val do
      {:ok, value}
    else
      {:error, "Value #{value} is less than minimum #{min_val}"}
    end
  end

  defp apply_constraint(value, {:max, max_val}) when is_number(value) do
    if value <= max_val do
      {:ok, value}
    else
      {:error, "Value #{value} is greater than maximum #{max_val}"}
    end
  end

  defp apply_constraint(value, {:in, allowed_values}) do
    if value in allowed_values do
      {:ok, value}
    else
      {:error, "Value #{inspect(value)} not in allowed values #{inspect(allowed_values)}"}
    end
  end

  defp apply_constraint(value, {:length, length_constraint}) do
    actual_length = case value do
      v when is_binary(v) -> String.length(v)
      v when is_list(v) -> length(v)
      v when is_map(v) -> map_size(v)
      _ -> nil
    end

    case {actual_length, length_constraint} do
      {nil, _} -> {:error, "Cannot validate length for this type"}
      {len, {:min, min_len}} when len >= min_len -> {:ok, value}
      {len, {:max, max_len}} when len <= max_len -> {:ok, value}
      {len, {:exact, exact_len}} when len == exact_len -> {:ok, value}
      {len, {:range, {min_len, max_len}}} when len >= min_len and len <= max_len -> {:ok, value}
      {len, constraint} -> {:error, "Length #{len} does not satisfy constraint #{inspect(constraint)}"}
    end
  end

  defp apply_constraint(value, {:custom, validator_fn}) when is_function(validator_fn, 1) do
    validator_fn.(value)
  end

  defp apply_constraint(value, _constraint), do: {:ok, value}

  defp apply_custom_validations(data, validations, _context) do
    errors = 
      validations
      |> Enum.reduce([], fn {validation_name, validation_fn}, acc_errors ->
        case validation_fn.(data) do
          true -> acc_errors
          false -> [%{validation: validation_name, message: "Custom validation failed"} | acc_errors]
          {:error, message} -> [%{validation: validation_name, message: message} | acc_errors]
          _ -> acc_errors
        end
      end)

    case errors do
      [] -> {:ok, data}
      _ -> {:error, Enum.reverse(errors)}
    end
  end

  defp apply_transforms(data, transforms) do
    Enum.reduce(transforms, data, fn {_transform_name, transform_fn}, acc_data ->
      case transform_fn.(acc_data) do
        {:ok, transformed} -> transformed
        transformed when is_map(transformed) -> transformed
        _ -> acc_data
      end
    end)
  end

  defp format_validation_errors(errors) do
    %{
      errors: errors,
      error_count: length(errors),
      formatted_message: format_error_message(errors)
    }
  end

  defp format_error_message(errors) do
    errors
    |> Enum.map(fn error ->
      path_str = case Map.get(error, :path, []) do
        [] -> "root"
        path -> Enum.join(path, ".")
      end
      "#{path_str}: #{error.message}"
    end)
    |> Enum.join("; ")
  end
end

4. Enhanced Type System

defmodule ElixirML.Schema.Types do
  @moduledoc """
  Comprehensive type system for ElixirML schemas.
  Includes basic types, complex types, and ML-specific types.
  """

  # Basic type validation
  def validate_type(value, :string) when is_binary(value), do: {:ok, value}
  def validate_type(value, :integer) when is_integer(value), do: {:ok, value}
  def validate_type(value, :float) when is_float(value), do: {:ok, value}
  def validate_type(value, :number) when is_number(value), do: {:ok, value}
  def validate_type(value, :boolean) when is_boolean(value), do: {:ok, value}
  def validate_type(value, :atom) when is_atom(value), do: {:ok, value}
  def validate_type(value, :binary) when is_binary(value), do: {:ok, value}
  def validate_type(value, :map) when is_map(value), do: {:ok, value}
  def validate_type(value, :list) when is_list(value), do: {:ok, value}

  # Complex type validation
  def validate_type(value, {:array, inner_type}) when is_list(value) do
    validated_items = 
      value
      |> Enum.with_index()
      |> Enum.map(fn {item, index} ->
        case validate_type(item, inner_type) do
          {:ok, validated_item} -> {:ok, validated_item}
          {:error, error} -> {:error, "Item at index #{index}: #{error}"}
        end
      end)

    case Enum.find(validated_items, &match?({:error, _}, &1)) do
      nil -> {:ok, Enum.map(validated_items, fn {:ok, item} -> item end)}
      {:error, error} -> {:error, error}
    end
  end

  def validate_type(value, {:union, types}) do
    # Try each type until one succeeds
    case Enum.find_value(types, fn type ->
      case validate_type(value, type) do
        {:ok, validated} -> {:ok, validated}
        {:error, _} -> nil
      end
    end) do
      {:ok, validated} -> {:ok, validated}
      nil -> {:error, "Value does not match any of the union types: #{inspect(types)}"}
    end
  end

  def validate_type(value, {:enum, choices}) do
    if value in choices do
      {:ok, value}
    else
      {:error, "Value #{inspect(value)} not in enum choices: #{inspect(choices)}"}
    end
  end

  def validate_type(value, {:struct, module}) do
    if is_struct(value, module) do
      {:ok, value}
    else
      {:error, "Value is not a struct of type #{module}"}
    end
  end

  # ML-specific type validation
  def validate_type(value, :embedding) do
    case value do
      list when is_list(list) and length(list) > 0 ->
        if Enum.all?(list, &is_number/1) do
          {:ok, value}
        else
          {:error, "Embedding must be a list of numbers"}
        end
      _ -> {:error, "Embedding must be a non-empty list"}
    end
  end

  def validate_type(value, :tensor) do
    # Basic tensor validation - in real implementation would use Nx
    case value do
      %{shape: shape, data: data} when is_tuple(shape) and is_list(data) ->
        {:ok, value}
      _ -> {:error, "Tensor must have shape and data fields"}
    end
  end

  def validate_type(value, :token_list) do
    case value do
      list when is_list(list) ->
        if Enum.all?(list, &(is_binary(&1) or is_integer(&1))) do
          {:ok, value}
        else
          {:error, "Token list must contain strings or integers"}
        end
      _ -> {:error, "Token list must be a list"}
    end
  end

  def validate_type(value, :probability) do
    case value do
      num when is_number(num) and num >= 0.0 and num <= 1.0 ->
        {:ok, value}
      _ -> {:error, "Probability must be a number between 0.0 and 1.0"}
    end
  end

  def validate_type(value, :confidence_score) do
    validate_type(value, :probability)
  end

  def validate_type(value, :model_response) do
    case value do
      %{content: content} when is_binary(content) ->
        {:ok, value}
      _ -> {:error, "Model response must have content field"}
    end
  end

  def validate_type(value, :variable_config) do
    case value do
      %{name: name, type: type, value: _value} when is_atom(name) and is_atom(type) ->
        {:ok, value}
      _ -> {:error, "Variable config must have name (atom), type (atom), and value fields"}
    end
  end

  # Fallback for unknown types
  def validate_type(value, type) do
    {:error, "Unknown type: #{inspect(type)} for value: #{inspect(value)}"}
  end
end

5. Runtime Schema Creation

defmodule ElixirML.Schema.Runtime do
  @moduledoc """
  Runtime schema creation and validation for dynamic schemas.
  """

  defstruct [
    :fields,
    :validations,
    :transforms,
    :metadata
  ]

  def new(opts \\ []) do
    %__MODULE__{
      fields: Keyword.get(opts, :fields, []),
      validations: Keyword.get(opts, :validations, []),
      transforms: Keyword.get(opts, :transforms, []),
      metadata: Keyword.get(opts, :metadata, %{})
    }
  end

  def add_field(schema, name, type, opts \\ []) do
    new_field = {name, type, opts}
    %{schema | fields: [new_field | schema.fields]}
  end

  def add_validation(schema, name, validation_fn) do
    new_validation = {name, validation_fn}
    %{schema | validations: [new_validation | schema.validations]}
  end

  def add_transform(schema, name, transform_fn) do
    new_transform = {name, transform_fn}
    %{schema | transforms: [new_transform | schema.transforms]}
  end

  def validate(schema, data, opts \\ []) do
    # Create a temporary module-like structure for validation
    temp_metadata = %{
      fields: Enum.reverse(schema.fields),
      validations: Enum.reverse(schema.validations),
      transforms: Enum.reverse(schema.transforms)
    }

    ElixirML.Schema.Validator.validate_with_metadata(data, temp_metadata, opts)
  end

  def compile(schema, module_name) do
    # Generate a real module from runtime schema
    fields_ast = Enum.map(schema.fields, fn {name, type, opts} ->
      quote do
        field unquote(name), unquote(type), unquote(opts)
      end
    end)

    validations_ast = Enum.map(schema.validations, fn {name, validation_fn} ->
      quote do
        validation unquote(name) do
          unquote(validation_fn).(data)
        end
      end
    end)

    transforms_ast = Enum.map(schema.transforms, fn {name, transform_fn} ->
      quote do
        transform unquote(name) do
          unquote(transform_fn).(data)
        end
      end
    end)

    module_ast = quote do
      defmodule unquote(module_name) do
        use ElixirML.Schema

        defschema do
          unquote_splicing(fields_ast)
          unquote_splicing(validations_ast)
          unquote_splicing(transforms_ast)
        end
      end
    end

    Code.eval_quoted(module_ast)
    module_name
  end
end

Integration Implementation

1. Variable System Integration

defmodule ElixirML.Schema.VariableIntegration do
  @moduledoc """
  Integration layer between Schema Engine and Variable System.
  """

  alias ElixirML.Schema.Runtime
  alias ElixirML.Variable

  def schema_from_variable_space(variable_space) do
    fields = Enum.map(variable_space.variables, &variable_to_field/1)
    
    Runtime.new(
      fields: fields,
      validations: generate_variable_validations(variable_space),
      transforms: generate_variable_transforms(variable_space),
      metadata: %{
        variable_space_id: variable_space.id,
        generated_at: DateTime.utc_now()
      }
    )
  end

  defp variable_to_field(%Variable{} = variable) do
    {variable.name, variable_type_to_schema_type(variable), variable_to_field_opts(variable)}
  end

  defp variable_type_to_schema_type(%Variable{type: :float, constraints: %{range: {min, max}}}), 
    do: :float

  defp variable_type_to_schema_type(%Variable{type: :integer, constraints: %{range: {min, max}}}), 
    do: :integer

  defp variable_type_to_schema_type(%Variable{type: :choice, constraints: %{choices: choices}}), 
    do: {:enum, choices}

  defp variable_type_to_schema_type(%Variable{type: :module, constraints: %{modules: modules}}), 
    do: {:union, Enum.map(modules, &{:struct, &1})}

  defp variable_type_to_schema_type(%Variable{type: type}), do: type

  defp variable_to_field_opts(%Variable{} = variable) do
    opts = []

    opts = if variable.default do
      [{:default, variable.default} | opts]
    else
      opts
    end

    opts = case variable.constraints do
      %{range: {min, max}} -> [{:constraints, [min: min, max: max]} | opts]
      %{choices: choices} -> [{:constraints, [in: choices]} | opts]
      %{length: length_constraint} -> [{:constraints, [length: length_constraint]} | opts]
      _ -> opts
    end

    if variable.metadata[:required] do
      [{:required, true} | opts]
    else
      opts
    end
  end

  defp generate_variable_validations(variable_space) do
    # Generate cross-variable validations
    Enum.flat_map(variable_space.constraints, fn constraint ->
      case constraint do
        %{type: :dependency, from: from_var, to: to_var, condition: condition_fn} ->
          [{:"dependency_#{from_var}_#{to_var}", fn data ->
            from_value = Map.get(data, from_var)
            to_value = Map.get(data, to_var)
            condition_fn.(from_value, to_value)
          end}]
        _ -> []
      end
    end)
  end

  defp generate_variable_transforms(variable_space) do
    # Generate variable-specific transforms
    variable_space.variables
    |> Enum.flat_map(fn variable ->
      case variable.metadata[:transform] do
        nil -> []
        transform_fn -> [{variable.name, transform_fn}]
      end
    end)
  end

  def validate_variable_configuration(variable_space, configuration) do
    schema = schema_from_variable_space(variable_space)
    Runtime.validate(schema, configuration)
  end

  def generate_variable_configuration_schema(variable_space, opts \\ []) do
    schema = schema_from_variable_space(variable_space)
    
    if Keyword.get(opts, :compile, false) do
      module_name = Keyword.get(opts, :module_name, 
        Module.concat([ElixirML.Schemas.Generated, "VariableSpace#{variable_space.id}"]))
      Runtime.compile(schema, module_name)
    else
      schema
    end
  end
end

2. Resource Framework Integration

defmodule ElixirML.Schema.ResourceIntegration do
  @moduledoc """
  Integration with Ash Resource Framework for schema-validated resources.
  """

  defmacro __using__(opts) do
    quote do
      use Ash.Resource, unquote(opts)
      import ElixirML.Schema.ResourceIntegration

      # Add schema validation capabilities
      @schema_validations []
      @before_compile ElixirML.Schema.ResourceIntegration
    end
  end

  defmacro __before_compile__(env) do
    schema_validations = Module.get_attribute(env.module, :schema_validations, [])
    
    validation_functions = Enum.map(schema_validations, fn {attr_name, schema_module} ->
      generate_validation_function(attr_name, schema_module)
    end)

    quote do
      unquote_splicing(validation_functions)
    end
  end

  defmacro schema_attribute(name, schema_module, opts \\ []) do
    quote do
      attribute unquote(name), :map, unquote(opts)
      
      @schema_validations [{unquote(name), unquote(schema_module)} | @schema_validations]
      
      validate unquote(:"validate_#{name}_schema") do
        unquote(:"__validate_#{name}_schema__")
      end
    end
  end

  defp generate_validation_function(attr_name, schema_module) do
    function_name = :"__validate_#{attr_name}_schema__"
    
    quote do
      def unquote(function_name) do
        fn changeset ->
          case Ash.Changeset.get_attribute(changeset, unquote(attr_name)) do
            nil -> changeset
            value ->
              case unquote(schema_module).validate(value) do
                {:ok, validated_value} ->
                  Ash.Changeset.change_attribute(changeset, unquote(attr_name), validated_value)
                {:error, error_details} ->
                  error_message = format_schema_errors(error_details)
                  Ash.Changeset.add_error(changeset, 
                    field: unquote(attr_name), 
                    message: error_message)
              end
          end
        end
      end
    end
  end

  def format_schema_errors(%{formatted_message: message}), do: message
  def format_schema_errors(errors) when is_list(errors) do
    errors
    |> Enum.map(fn error -> "#{error.path}: #{error.message}" end)
    |> Enum.join(", ")
  end
  def format_schema_errors(error), do: inspect(error)

  # Helper for creating schema-validated actions
  defmacro schema_action(name, schema_module, opts \\ []) do
    quote do
      action unquote(name), unquote(opts[:return_type] || :map) do
        argument :data, :map, allow_nil?: false
        
        run fn input, context ->
          case unquote(schema_module).validate(input.data) do
            {:ok, validated_data} ->
              # Continue with action logic
              {:ok, validated_data}
            {:error, error_details} ->
              {:error, format_schema_errors(error_details)}
          end
        end
      end
    end
  end
end

Testing Implementation

1. Schema Testing Framework

defmodule ElixirML.Schema.TestHelpers do
  @moduledoc """
  Testing utilities for schema validation and development.
  """

  import ExUnit.Assertions
  import StreamData

  def assert_valid_schema(schema_module, valid_data) do
    case schema_module.validate(valid_data) do
      {:ok, _validated} -> :ok
      {:error, errors} -> 
        flunk("Expected valid data but got errors: #{inspect(errors)}")
    end
  end

  def assert_invalid_schema(schema_module, invalid_data, expected_error_pattern \\ nil) do
    case schema_module.validate(invalid_data) do
      {:ok, _} -> 
        flunk("Expected invalid data but validation succeeded")
      {:error, errors} ->
        if expected_error_pattern do
          assert errors.formatted_message =~ expected_error_pattern
        end
        :ok
    end
  end

  def property_test_schema(schema_module, opts \\ []) do
    iterations = Keyword.get(opts, :iterations, 100)
    
    valid_data_generator = generate_valid_data_for_schema(schema_module)
    
    property_test = property([valid_data <- valid_data_generator], do: (
      assert_valid_schema(schema_module, valid_data)
    ))
    
    check_all(property_test, iterations: iterations)
  end

  def generate_valid_data_for_schema(schema_module) do
    metadata = schema_module.__schema_metadata__()
    
    field_generators = 
      metadata.fields
      |> Enum.map(fn {field_name, field_type, field_opts} ->
        {field_name, generate_data_for_type(field_type, field_opts)}
      end)
      |> Map.new()
    
    fixed_map(field_generators)
  end

  defp generate_data_for_type(:string, opts) do
    min_length = get_constraint_value(opts, :length, :min, 0)
    max_length = get_constraint_value(opts, :length, :max, 100)
    
    string(:alphanumeric, min_length: min_length, max_length: max_length)
  end

  defp generate_data_for_type(:integer, opts) do
    min_val = get_constraint_value(opts, :min, nil, 0)
    max_val = get_constraint_value(opts, :max, nil, 1000)
    
    integer(min_val..max_val)
  end

  defp generate_data_for_type(:float, opts) do
    min_val = get_constraint_value(opts, :min, nil, 0.0)
    max_val = get_constraint_value(opts, :max, nil, 1.0)
    
    float(min: min_val, max: max_val)
  end

  defp generate_data_for_type(:boolean, _opts) do
    boolean()
  end

  defp generate_data_for_type({:enum, choices}, _opts) do
    member_of(choices)
  end

  defp generate_data_for_type({:array, inner_type}, opts) do
    min_length = get_constraint_value(opts, :length, :min, 0)
    max_length = get_constraint_value(opts, :length, :max, 10)
    
    list_of(generate_data_for_type(inner_type, []), 
            min_length: min_length, 
            max_length: max_length)
  end

  defp generate_data_for_type(:probability, _opts) do
    float(min: 0.0, max: 1.0)
  end

  defp generate_data_for_type(:embedding, _opts) do
    list_of(float(), min_length: 1, max_length: 512)
  end

  defp generate_data_for_type(type, _opts) do
    # Fallback for unknown types
    constant("generated_#{type}")
  end

  defp get_constraint_value(opts, constraint_type, sub_key, default) do
    constraints = Keyword.get(opts, :constraints, [])
    
    case Keyword.get(constraints, constraint_type) do
      nil -> default
      value when sub_key == nil -> value
      constraint_map when is_map(constraint_map) -> Map.get(constraint_map, sub_key, default)
      {min, max} when sub_key == :min -> min
      {min, max} when sub_key == :max -> max
      _ -> default
    end
  end

  # Performance testing utilities
  def benchmark_schema_validation(schema_module, data, opts \\ []) do
    iterations = Keyword.get(opts, :iterations, 1000)
    
    {time_us, _result} = :timer.tc(fn ->
      Enum.each(1..iterations, fn _ ->
        schema_module.validate(data)
      end)
    end)
    
    avg_time_us = time_us / iterations
    %{
      total_time_us: time_us,
      average_time_us: avg_time_us,
      iterations: iterations,
      validations_per_second: 1_000_000 / avg_time_us
    }
  end
end

Implementation Roadmap

Week 1: Core Implementation

  • Schema Definition module and DSL
  • Basic Validation Engine
  • Type System implementation
  • Runtime Schema creation

Week 2: Advanced Features

  • Complex type validation (arrays, unions, structs)
  • Custom validation and transformation functions
  • Error handling and reporting
  • Performance optimization basics

Week 3: Integration Implementation

  • Variable System integration
  • Resource Framework integration
  • Program schema binding
  • Adapter schema validation

Week 4: Testing and Tools

  • Testing framework implementation
  • Property-based testing setup
  • Performance benchmarking
  • Documentation and examples

Performance Considerations

Optimization Strategies

  1. Compile-Time Optimization: Generate optimized validation functions
  2. Caching: Cache validation results for repeated data patterns
  3. Lazy Validation: Skip expensive validations when possible
  4. Batch Processing: Validate multiple items efficiently

Memory Management

  1. Minimal Copying: Avoid unnecessary data copying during validation
  2. Streaming Validation: Process large datasets in chunks
  3. Garbage Collection: Minimize temporary object creation

Monitoring and Metrics

  1. Validation Performance: Track validation times and throughput
  2. Cache Hit Rates: Monitor caching effectiveness
  3. Error Patterns: Analyze common validation failures
  4. Memory Usage: Track memory consumption patterns

This implementation guide provides the foundation for building a robust, high-performance schema engine that integrates seamlessly with the Variable System and Resource Framework while maintaining excellent developer experience and runtime performance.