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74 lines
3.0 KiB
74 lines
3.0 KiB
require 'rails_helper'
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require 'fileutils'
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require 'csv'
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RSpec.describe Dese::ThreeBTwo 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(:enrollment_filepath) { Rails.root.join('tmp', 'spec', 'dese', 'enrollments.csv') }
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let(:teacher_race_filepath) { Rails.root.join('tmp', 'spec', 'dese', '3B_2_teacher_by_race_and_gender.csv') }
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let(:student_race_filepath) { Rails.root.join('tmp', 'spec', 'dese', '3B_2_student_by_race_and_gender.csv') }
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let(:filepaths) do
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[enrollment_filepath, teacher_race_filepath, student_race_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 '#run_all' do
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it 'creates a csv file with the scraped data' do
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Dese::ThreeBTwo.new(filepaths:).run_all
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expect(teacher_race_filepath).to exist
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expect(student_race_filepath).to exist
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end
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it 'has the correct headers for teacher demographic information' do
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headers = File.open(teacher_race_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', 'Teachers of color (#)', 'School Name', 'DESE ID',
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'African American (#)', 'Asian (#)', 'Hispanic (#)', 'White (#)', 'Native American (#)',
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'Native Hawaiian Pacific Islander (#)', 'Multi-Race Non-Hispanic (#)', 'Females (#)',
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'Males (#)', "FTE Count\n"]
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end
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it 'has the correct headers for student demographic information' do
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pending 'need feedback from peter'
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headers = File.open(student_race_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', 'Non-White Teachers', 'Non-White Students', 'School Name', 'DESE ID',
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'African American', 'Asian', 'Hispanic', 'White', 'Native American',
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'Native Hawaiian or Pacific Islander', 'Multi-Race or Non-Hispanic', 'Males',
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'Females', 'Non-Binary', "Students of color (%)\n"]
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end
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it 'has the right likert score results for a-cure-i1' do
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pending 'not yet implemented'
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results = CSV.parse(File.read(student_race_filepath), headers: true).map do |row|
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next unless row['Admin Data Item'] == 'a-cure-i1' && row['Academic Year'] == '2020-21'
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row['Likert Score'].to_f
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end.flatten.compact
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expect(results.take(20)).to eq [4.44, 4.44, 3.33, 3.83, 4.44, 3.6, 4.44, 4.44, 1, 4.44, 4.44, 4.44, 4.44, 3.89,
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4.44, 4.44, 4.44, 4.44, 4.01, 3.92]
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end
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end
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end
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