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

129 lines
5.4 KiB

require "watir"
module Dese
class ThreeBTwo
include Dese::Scraper
include Dese::Enrollments
attr_reader :filepaths
def initialize(filepaths: [Rails.root.join("data", "admin_data", "dese", "3B_2_teacher_by_race_and_gender.csv"),
Rails.root.join("data", "admin_data", "dese", "3B_2_student_by_race_and_gender.csv")])
@filepaths = filepaths
end
def run_all
filepath = filepaths[0]
headers = ["Raw likert calculation", "Likert Score", "Admin Data Item", "Academic Year", "Teachers of color (%)", "School Name", "DESE ID",
"African American (%)", "Asian (%)", "Hispanic (%)", "White (%)", "Native American (%)",
"Native Hawaiian Pacific Islander (%)", "Multi-Race Non-Hispanic (%)", "Females (%)",
"Males (%)", "FTE Count"]
write_headers(filepath:, headers:)
run_teacher_demographics(filepath:)
filepath = filepaths[1]
headers = ["Raw likert calculation", "Likert Score", "Admin Data Item", "Academic Year", "School Name", "DESE ID",
"African American", "Asian", "Hispanic", "White", "Native American",
"Native Hawaiian or Pacific Islander", "Multi-Race or Non-Hispanic", "Males",
"Females", "Non-Binary", "Students of color (%)", "Non-White Teachers %", "Non-White Students %"]
write_headers(filepath:, headers:)
run_student_demographics(filepath:)
browser.close
end
def run_teacher_demographics(filepath:)
run do |academic_year|
admin_data_item_id = ""
url = "https://profiles.doe.mass.edu/statereport/teacherbyracegender.aspx"
range = academic_year.range
selectors = { "ctl00_ContentPlaceHolder1_ddReportType" => "School",
"ctl00_ContentPlaceHolder1_ddYear" => range,
"ctl00_ContentPlaceHolder1_ddDisplay" => "Percentages",
"ctl00_ContentPlaceHolder1_ddClassification" => "Teacher" }
submit_id = "ctl00_ContentPlaceHolder1_btnViewReport"
calculation = lambda { |headers, items|
african_american_index = headers["Black or African American (%)"]
african_american_number = items[african_american_index].to_f
asian_index = headers["Asian (%)"]
asian_number = items[asian_index].to_f
hispanic_index = headers["Hispanic or Latino (%)"]
hispanic_number = items[hispanic_index].to_f
native_american_index = headers["American Indian or Alaska Native (%)"]
native_american_number = items[native_american_index].to_f
native_hawaiian_index = headers["Native Hawaiian or Other Pacific Islander (%)"]
native_hawaiian_number = items[native_hawaiian_index].to_f
multi_race_index = headers["Multi-Race, Not Hispanic or Latino (%)"]
multi_race_number = items[multi_race_index].to_f
non_white_teachers = african_american_number + asian_number + hispanic_number + native_american_number + native_hawaiian_number + multi_race_number
items.unshift(non_white_teachers)
non_white_teachers
}
Prerequisites.new(filepath, url, selectors, submit_id, admin_data_item_id, calculation)
end
end
def teacher_count(filepath:, dese_id:, year:)
@teachers ||= {}
@years_with_data ||= Set.new
if @teachers.count == 0
CSV.parse(File.read(filepath), headers: true).map do |row|
academic_year = row["Academic Year"]
@years_with_data << academic_year
school_id = row["DESE ID"].to_i
total = row["Teachers of color (%)"].delete(",")
total = "NA" if total == "" || total.nil?
@teachers[[school_id, academic_year]] = total
end
end
return "NA" unless @years_with_data.include? year
@teachers[[dese_id, year]]
end
def run_student_demographics(filepath:)
run do |academic_year|
admin_data_item_id = "a-cure-i1"
url = "https://profiles.doe.mass.edu/statereport/enrollmentbyracegender.aspx"
range = "20" + academic_year.range.last(2)
selectors = { "ctl00_ContentPlaceHolder1_ddReportType" => "School",
"ctl00_ContentPlaceHolder1_ddYear" => range }
submit_id = "btnViewReport"
calculation = lambda { |headers, items|
white_index = headers["White"]
white_number = items[white_index].to_f
dese_id = items[headers["School Code"]].to_i
non_white_student_percentage = (100 - white_number).to_f
items << non_white_student_percentage
count_of_teachers = teacher_count(filepath: filepaths[0], dese_id:, year: academic_year.range)
return "NA" if count_of_teachers == "NA"
non_white_teacher_percentage = count_of_teachers.to_f
items << non_white_teacher_percentage
floor = 5
benchmark = 0.25
return 1 if non_white_student_percentage.zero? && non_white_teacher_percentage < floor
if non_white_teacher_percentage >= floor
parity_index = non_white_teacher_percentage / non_white_student_percentage
likert_score = parity_index * 4 / benchmark
else
likert_score = 1
end
likert_score
}
Prerequisites.new(filepath, url, selectors, submit_id, admin_data_item_id, calculation)
end
end
end
end