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67 lines
2.5 KiB
67 lines
2.5 KiB
require 'rails_helper'
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require 'fileutils'
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RSpec.describe Dese::TwoAOne do
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let(:academic_years) do
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[
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create(:academic_year, range: '2021-22'),
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create(:academic_year, range: '2020-21')
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# create(:academic_year, range: '2019-20'),
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# create(:academic_year, range: '2018-19'),
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# create(:academic_year, range: '2017-18'),
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# create(:academic_year, range: '2016-17')
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]
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end
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let(:i1_filepath) { Rails.root.join('tmp', 'spec', 'dese', '2A_1_students_suspended.csv') }
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let(:i3_filepath) { Rails.root.join('tmp', 'spec', 'dese', '2A_1_students_disciplined.csv') }
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let(:filepaths) do
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[i1_filepath, i3_filepath]
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end
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before do
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FileUtils.mkdir_p 'tmp/spec/dese'
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end
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before :each do
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academic_years
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end
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xcontext 'Creating a new Scraper' do
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it 'creates a csv file with the scraped data' do
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Dese::TwoAOne.new(filepaths:).run_all
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expect(i1_filepath).to exist
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end
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it 'has the correct headers' do
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headers = File.open(i1_filepath) do |file|
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headers = file.first
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end.split(',')
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expect(headers).to eq ['Raw likert calculation', 'Likert Score', 'Admin Data Item', 'Academic Year', 'School Name', 'DESE ID',
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'Students', 'Students Disciplined',
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'% In-School Suspension', '% Out-of-School Suspension', '% Expulsion', '% Removed to Alternate Setting',
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'% Emergency Removal', '% Students with a School-Based Arrest', "% Students with a Law Enforcement Referral\n"]
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end
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it 'has the right likert score results for a-phys-i1' do
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results = CSV.parse(File.read(i1_filepath), headers: true).map do |row|
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row['Likert Score'].to_f unless row['Likert Score'] == 'NA' || row['Likert Score'].nil?
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end.flatten.compact
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expect(results.take(20)).to eq [5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0,
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5.0, 5.0, 5.0, 5.0]
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end
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it 'has the right likert score results for a-exp-i3' do
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results = CSV.parse(File.read(i3_filepath), headers: true).map do |row|
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next unless row['Admin Data Item'] == 'a-phys-i3' && row['Academic Year'] == '2020-21'
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row['Likert Score'].to_f unless row['Likert Score'] == 'NA' || row['Likert Score'].nil?
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end.flatten.compact
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expect(results.take(20)).to eq [5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 3.6, 5.0,
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5.0, 5.0, 5.0, 5.0]
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end
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end
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end
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