Class: DecisionAgent::Simulation::WhatIfAnalyzer

Inherits:
Object
  • Object
show all
Defined in:
lib/decision_agent/simulation/what_if_analyzer.rb

Overview

Analyzer for what-if scenario simulation

Defined Under Namespace

Classes: GridConfig

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(agent:, version_manager: nil) ⇒ WhatIfAnalyzer

Returns a new instance of WhatIfAnalyzer.



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 11

def initialize(agent:, version_manager: nil)
  @agent = agent
  @version_manager = version_manager || Versioning::VersionManager.new
end

Instance Attribute Details

#agent ⇒ Object (readonly)

Returns the value of attribute agent.



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 9

def agent
  @agent
end

#version_manager ⇒ Object (readonly)

Returns the value of attribute version_manager.



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 9

def version_manager
  @version_manager
end

Instance Method Details

#analyze(scenarios:, rule_version: nil, options: {}) ⇒ Hash

Analyze multiple scenarios

Parameters:

  • scenarios (Array<Hash>) —

    Array of context hashes to simulate

  • rule_version (String, Integer, Hash, nil) (defaults to: nil) —

    Optional rule version to use

  • options (Hash) (defaults to: {}) —

    Analysis options

    • :parallel [Boolean] Use parallel execution (default: true)
    • :thread_count [Integer] Number of threads (default: 4)
    • :sensitivity_analysis [Boolean] Perform sensitivity analysis (default: false)

Returns:

  • (Hash) —

    Analysis results with decision outcomes



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 24

def analyze(scenarios:, rule_version: nil, options: {})
  options = {
    parallel: true,
    thread_count: 4,
    sensitivity_analysis: false
  }.merge(options)

  analysis_agent = build_agent_from_version(rule_version) if rule_version
  analysis_agent ||= @agent

  results = execute_scenarios(scenarios, analysis_agent, options)

  report = {
    scenarios: results,
    total_scenarios: scenarios.size,
    decision_distribution: results.group_by { |r| r[:decision] }.transform_values(&:count),
    average_confidence: calculate_average_confidence(results)
  }

  report[:sensitivity] = perform_sensitivity_analysis(scenarios, analysis_agent) if options[:sensitivity_analysis]

  report
end

#analyze_field_variations(base_scenario, variations, base_decision_value, analysis_agent) ⇒ Object 



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 69

def analyze_field_variations(base_scenario, variations, base_decision_value, analysis_agent)
  variations.each_with_object({}) do |(field, values), results|
    field_results = test_field_values(base_scenario, field, values, base_decision_value, analysis_agent)
    results[field] = build_field_sensitivity(field_results, values.size, base_decision_value)
  end
end

#build_field_result(value, decision, base_decision_value) ⇒ Object 



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 85

def build_field_result(value, decision, base_decision_value)
  {
    value: value,
    decision: decision.decision,
    confidence: decision.confidence,
    changed: decision.decision != base_decision_value
  }
end

#build_field_sensitivity(field_results, values_size, base_decision_value) ⇒ Object 



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 94

def build_field_sensitivity(field_results, values_size, base_decision_value)
  changed_count = field_results.count { |r| r[:changed] }
  {
    impact: changed_count.to_f / values_size,
    results: field_results,
    base_decision: base_decision_value
  }
end

#build_sensitivity_result(base_scenario, base_decision_value, base_confidence, sensitivity_results) ⇒ Object 



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 103

def build_sensitivity_result(base_scenario, base_decision_value, base_confidence, sensitivity_results)
  {
    base_scenario: base_scenario,
    base_decision: base_decision_value,
    base_confidence: base_confidence,
    field_sensitivity: sensitivity_results,
    most_sensitive_fields: sensitivity_results.sort_by { |_k, v| -v[:impact] }.to_h.keys
  }
end

#sensitivity_analysis(base_scenario:, variations:, rule_version: nil) ⇒ Hash

Perform sensitivity analysis to identify which inputs affect decisions most

Parameters:

  • base_scenario (Hash) —

    Base context to vary

  • variations (Hash) —

    Hash of field => [values] to test

  • rule_version (String, Integer, Hash, nil) (defaults to: nil) —

    Optional rule version

Returns:

  • (Hash) —

    Sensitivity analysis results



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 53

def sensitivity_analysis(base_scenario:, variations:, rule_version: nil)
  analysis_agent = build_agent_from_version(rule_version) if rule_version
  analysis_agent ||= @agent

  base_decision = analysis_agent.decide(context: Context.new(base_scenario))
  base_decision_value = base_decision.decision

  sensitivity_results = analyze_field_variations(
    base_scenario, variations, base_decision_value, analysis_agent
  )

  build_sensitivity_result(
    base_scenario, base_decision_value, base_decision.confidence, sensitivity_results
  )
end

#test_field_values(base_scenario, field, values, base_decision_value, analysis_agent) ⇒ Object 



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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 76

def test_field_values(base_scenario, field, values, base_decision_value, analysis_agent)
  values.map do |value|
    modified_scenario = base_scenario.dup
    set_nested_value(modified_scenario, field, value)
    decision = analysis_agent.decide(context: Context.new(modified_scenario))
    build_field_result(value, decision, base_decision_value)
  end
end

#visualize_decision_boundaries(base_scenario:, parameters:, rule_version: nil, options: {}) ⇒ Hash

Visualize decision boundaries for 1D or 2D parameter spaces

Parameters:

  • base_scenario (Hash) —

    Base context with fixed parameter values

  • parameters (Hash) —

    Hash of parameter_name => max, steps for 1D or 2 parameters for 2D

  • rule_version (String, Integer, Hash, nil) (defaults to: nil) —

    Optional rule version to use

  • options (Hash) (defaults to: {}) —

    Visualization options

    • :output_format [String] 'data', 'html', 'json' (default: 'data')
    • :resolution [Integer] Number of steps for grid generation (default: 50 for 1D, 20 for 2D)

Returns:

  • (Hash) —

    Decision boundary data or visualization output

Raises:

  • (ArgumentError) 


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# File 'lib/decision_agent/simulation/what_if_analyzer.rb', line 121

def visualize_decision_boundaries(base_scenario:, parameters:, rule_version: nil, options: {})
  options = {
    output_format: "data",
    resolution: nil
  }.merge(options)

  analysis_agent = build_agent_from_version(rule_version) if rule_version
  analysis_agent ||= @agent

  # Validate parameters
  param_keys = parameters.keys
  raise ArgumentError, "Must specify 1 or 2 parameters for visualization" if param_keys.empty? || param_keys.size > 2

  # Set default resolution
  resolution = options[:resolution] || (param_keys.size == 1 ? 100 : 30)

  if param_keys.size == 1
    visualize_1d_boundary(base_scenario, param_keys.first, parameters[param_keys.first], analysis_agent, options)
  else
    config = {
      base_scenario: base_scenario,
      param1_name: param_keys[0],
      param2_name: param_keys[1],
      param1_config: parameters[param_keys[0]],
      param2_config: parameters[param_keys[1]],
      analysis_agent: analysis_agent,
      resolution: resolution,
      output_options: options
    }
    visualize_2d_boundary(config)
  end
end