feat: add ability to merge disaggregation data with raw survey data to

produce a cleaned csv with merged income disaggregation columns

spec/services/disaggregation_loader_spec.rb

@@ -0,0 +1,35 @@
+require 'rails_helper'
+require 'fileutils'
+
+RSpec.describe DisaggregationLoader do
+  let(:path) do
+    Rails.root.join('spec', 'fixtures', 'disaggregation')
+  end
+  let(:academic_year) { create(:academic_year, range: '2022-23') }
+  let(:district) { create(:district, name: 'Maynard Public Schools') }
+  context '.load' do
+    it 'loads data from the file into a hash' do
+      data = DisaggregationLoader.new(path:).load
+      expect(data.values.first.lasid).to eq('1')
+      expect(data.values.first.academic_year).to eq('2022-23')
+      expect(data.values.first.district).to eq('Maynard Public Schools')
+      expect(data.values.first.income).to eq('Free Lunch')
+
+      expect(data.values.last.lasid).to eq('500')
+      expect(data.values.last.academic_year).to eq('2022-23')
+      expect(data.values.last.district).to eq('Maynard Public Schools')
+      expect(data.values.last.income).to eq('Not Eligible')
+
+      expect(data[['1', 'Maynard Public Schools', '2022-23']].income).to eq('Free Lunch')
+      expect(data[['2', 'Maynard Public Schools', '2022-23']].income).to eq('Not Eligible')
+      expect(data[['3', 'Maynard Public Schools', '2022-23']].income).to eq('Reduced Lunch')
+    end
+  end
+
+  context 'Creating a new loader' do
+    it 'creates a directory for the loader file' do
+      DisaggregationLoader.new(path:)
+      expect(path).to exist
+    end
+  end
+end