goldenCeasar

  Location: Sao Paulo / Brazil
  Remote: Only
  Willing to relocate: No
  Technologies: Ruby / Rails / JS / Linux / DevOps / IAM
  Résumé/CV: https://drive.google.com/file/d/1eFJt5gpK7C-nNJWar75jmskSTIrh0rCv
  Email:[email protected]

  Location: Sao Paulo / Brazil
  Remote: Only
  Willing to relocate: No
  Technologies: Ruby / Rails (PostgreSQL, Redis, Github...) Linux / DevOps / IAM
  Résumé/CV: https://drive.google.com/file/d/1eFJt5gpK7C-nNJWar75jmskSTIrh0rCv
  Email:[email protected]

  Region 0: Office 0 has 2 employees, Office 1 has 1 employee
  Region 1: Office 0 has 1 employee

  schema do
    input do
      array :regions do
        float :tax_rate
        array :offices do
          float :col_adjustment
          array :employees do
            float :salary
            float :rating
          end
        end
      end
    end

    trait :high_performer, input.regions.offices.employees.rating > 4.5
    
    value :bonus do
      on high_performer, input.regions.offices.employees.salary * 0.25
      base input.regions.offices.employees.salary * 0.10
    end
    
    value :final_pay,
      (input.regions.offices.employees.salary + bonus * input.regions.offices.col_adjustment) *
      (1 - input.regions.tax_rate)
  end

  result = schema.from(nested_data)[:final_pay]
  # => [[[91_000, 63_700], [58_500]], [[71_225]]]