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sqm-dashboards/app/services/dese/one_a_one.rb

115 lines
3.9 KiB

require 'watir'
module Dese
class OneAOne
attr_reader :filepath
def initialize(filepath: Rails.root.join('data', 'admin_data', 'dese', '1A_1_teacher_data.csv'))
@filepath = filepath
end
def run_all
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 Dese::Scraper::DELAY # 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