pull/1/head
rebuilt 3 years ago
parent 048aacd641
commit f783ce9724

@ -6,8 +6,10 @@ module Dese
CSV.parse(File.read(filepath), headers: true) do |row|
score = likert_score(row:)
unless valid_likert_score(likert_score: score)
school = School.find_by_dese_id(row['DESE ID']) || School.new(name: 'Non-MCIEA school',
dese_id: row['DESE ID'])
puts "Invalid score: #{score}
for school: #{School.find_by_dese_id(row['DESE ID']).name}
for school: #{school.name}
admin data item #{admin_data_item(row:)} "
next
end

@ -24,7 +24,7 @@ module Dese
browser.select(id: 'ctl00_ContentPlaceHolder1_ddReportType').select(/School/)
browser.select(id: 'ctl00_ContentPlaceHolder1_ddYear').select(text: range)
browser.button(id: 'btnViewReport').click
sleep 5 # Sleep to prevent hitting mass.edu with too many requests
sleep 2 # Sleep to prevent hitting mass.edu with too many requests
document = Nokogiri::HTML(browser.html)
document.css('tr')
end
@ -45,15 +45,17 @@ module Dese
next if dese_id.nil? || dese_id.zero?
raw_likert_score = calculate(cells: items)
items << raw_likert_score
likert_score = raw_likert_score
likert_score = 5 if raw_likert_score > 5
likert_score = 1 if raw_likert_score < 1
likert_score = likert_score.round(2)
items << likert_score
items << id
items << range
csv << items
output = []
output << raw_likert_score
output << likert_score
output << id
output << range
output << items
csv << output.flatten
end
end
end

@ -0,0 +1,109 @@
require 'watir'
require 'csv'
module Dese
class OneAScraper
def initialize(filepath: Rails.root.join('data', 'admin_data', 'dese', 'one_a.csv'))
url = 'https://profiles.doe.mass.edu/statereport/teacherdata.aspx'
browser = Watir::Browser.new
write_headers(filepath:)
academic_years = AcademicYear.all
academic_years.each do |academic_year|
document = scrape(browser:, url:, range: academic_year.range)
id = 'a-exp-i1'
write_csv(document:, filepath:, range: academic_year.range, id:) unless document.nil?
end
browser.close
end
def scrape(browser:, url:, range:)
browser.goto(url)
return unless browser.option(text: 'School').present?
return unless browser.option(text: range).present?
browser.select(id: 'ctl00_ContentPlaceHolder1_ddReportType').select(text: 'School')
browser.select(id: 'ctl00_ContentPlaceHolder1_ddYear').select(text: range)
browser.button(id: 'ctl00_ContentPlaceHolder1_btnViewReport').click
sleep 2 # Sleep to prevent hitting mass.edu with too many requests
Nokogiri::HTML(browser.html)
end
def write_headers(filepath:)
CSV.open(filepath, 'w') do |csv|
headers = ['Raw likert calculation', 'Likert Score', 'Admin Data Item', 'Academic Year', 'School Name', 'DESE ID', 'Total # of Teachers(FTE)', 'Percent of Teachers Licensed',
'Student/Teacher Ratio', 'Percent of Experienced Teachers', 'Percent of Teachers without Waiver or Provisional License', 'Percent Teaching in-field']
csv << headers
end
end
def write_csv(document:, filepath:, range:, id:)
table = document.css('tr')
headers = document.css('.sorting')
header_hash = headers.each_with_index.map { |header, index| [header.text, index] }.to_h
experienced_teacher_index = header_hash['Percent of Experienced Teachers']
dese_id_index = header_hash['School Code']
CSV.open(filepath, 'a') do |csv|
table.each do |row|
items = row.css('td').map(&:text)
dese_id = items[1].to_i
next if dese_id.nil? || dese_id.zero?
raw_likert_score = items[experienced_teacher_index].to_f * 4 / 80 if experienced_teacher_index.present?
raw_likert_score ||= 'NA'
likert_score = raw_likert_score
if likert_score != 'NA'
likert_score = 5 if likert_score > 5
likert_score = 1 if likert_score < 1
likert_score = likert_score.round(2)
end
output = []
output << raw_likert_score
output << likert_score
output << 'a-exp-i1'
output << range
output << items
output = output.flatten
csv << output
end
end
in_field_index = header_hash['Percent Teaching In-Field']
CSV.open(filepath, 'a') do |csv|
table.each do |row|
items = row.css('td').map(&:text)
dese_id = items[dese_id_index].to_i
next if dese_id.nil? || dese_id.zero?
percent_in_field = items[in_field_index].to_f if in_field_index.present?
if in_field_index.present? && percent_in_field.present? && !percent_in_field.zero?
raw_likert_score = percent_in_field * 4 / 95
end
raw_likert_score ||= 'NA'
likert_score = raw_likert_score
if likert_score != 'NA'
likert_score = 5 if likert_score > 5
likert_score = 1 if likert_score < 1
likert_score = likert_score.round(2)
end
output = []
output << raw_likert_score
output << likert_score
output << 'a-exp-i3'
output << range
output << items
output = output.flatten
csv << output
end
end
end
def calculate(cells:)
cells[5].to_f * 4 / 95
end
end
end

File diff suppressed because it is too large Load Diff

@ -1,5 +1,5 @@
require 'rails_helper'
RSpec.describe Dese::FourDLoader, type: :model do
RSpec.describe Dese::FourDLoader do
let(:path_to_admin_data) { Rails.root.join('spec', 'fixtures', 'sample_four_d_data.csv') }
let(:ay_2020_21) { AcademicYear.find_by_range '2020-21' }
let(:ay_2018_19) { AcademicYear.find_by_range '2018-19' }

@ -1,6 +1,6 @@
require 'rails_helper'
require 'fileutils'
RSpec.describe type: :model do
RSpec.describe Dese::FourDScraper do
let(:academic_years) do
[
create(:academic_year, range: '2020-21'),
@ -13,6 +13,7 @@ RSpec.describe type: :model do
before :each do
academic_years
end
xcontext 'Creating a new FourDScraper' do
it 'creates a csv file with the scraped data' do
FileUtils.mkdir_p 'tmp/spec/dese'

@ -0,0 +1,76 @@
require 'rails_helper'
require 'fileutils'
require 'csv'
RSpec.describe Dese::OneAScraper do
let(:academic_years) do
[
create(:academic_year, range: '2021-22'),
create(:academic_year, range: '2020-21')
# create(:academic_year, range: '2019-20'),
# create(:academic_year, range: '2018-19'),
# create(:academic_year, range: '2017-18'),
# create(:academic_year, range: '2016-17')
]
end
let(:filepath) { Rails.root.join('tmp', 'spec', 'dese', 'one_a.csv') }
before do
FileUtils.mkdir_p 'tmp/spec/dese'
end
before :each do
academic_years
end
xcontext 'Creating a new Scraper' do
it 'creates a csv file with the scraped data' do
Dese::OneAScraper.new(filepath:)
expect(filepath).to exist
end
it 'has the correct headers' do
headers = File.open(filepath) do |file|
headers = file.first
end.split(',')
expect(headers).to eq ['Raw likert calculation', 'Likert Score', 'Admin Data Item', 'Academic Year',
'School Name', 'DESE ID', 'Total # of Teachers(FTE)', 'Percent of Teachers Licensed',
'Student/Teacher Ratio', 'Percent of Experienced Teachers',
'Percent of Teachers without Waiver or Provisional License', "Percent Teaching in-field\n"]
end
it 'has the right likert score results for a-exp-i1' do
results = CSV.parse(File.read(filepath), headers: true).map do |row|
row['Likert Score'].to_f
end
expect(results.take(20)).to eq [3.7, 4, 4.31, 3.95, 3.99, 3.69, 1.69,
4.5, 4.21, 4.1, 5, 4.2, 4.51, 3.97, 4.35,
4.38, 4.08, 4, 4.12, 5]
end
it 'has the right likert score results for a-exp-i3' do
results = CSV.parse(File.read(filepath), headers: true).map do |row|
next unless row['Admin Data Item'] == 'a-exp-i3' && row['Academic Year'] == '2020-21'
row['Likert Score'].to_f
end.flatten.compact
expect(results.take(20)).to eq [3.68, 4.21, 4.01, 3.73, 4.21, 4.21, 2.48, 4.06, 4.21, 4.21, 4.21, 4.21, 4.21,
4.21, 4.21, 4.1, 4, 4.07, 3.32, 4.21]
end
it 'has the latest academic_year' do
academic_year = CSV.parse(File.read(filepath), headers: true).map do |row|
break row['Academic Year']
end
expect(academic_year).to eq '2021-22'
end
it 'has both admin data items in the file' do
results = CSV.parse(File.read(filepath), headers: true).map do |row|
row['Admin Data Item']
end
expect(results.uniq).to eq %w[a-exp-i1 a-exp-i3]
end
end
end
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