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92 lines
3.0 KiB
92 lines
3.0 KiB
class DashboardController < ApplicationController
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require 'httparty'
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require 'csv'
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require 'prawn'
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def index
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@filters = fetch_filter_options
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if params[:org_type]
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@selected = {
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org_type: params[:org_type],
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sy: params[:sy],
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grad_rate_type: params[:grad_rate_type],
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stu_grp: params[:stu_grp]
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}
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@data = fetch_filtered_data(@selected)
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else
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@selected = {}
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@data = []
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end
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end
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def download_csv
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data = fetch_filtered_data(params)
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csv_string = CSV.generate(headers: true) do |csv|
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csv << data.first.keys if data.any?
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data.each { |row| csv << row.values }
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end
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send_data csv_string, filename: "graduation_stats.csv"
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end
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def download_pdf
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data = fetch_filtered_data(params)
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pdf = Prawn::Document.new
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pdf.text "Graduation Stats Report", size: 14, align: :center
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pdf.move_down 10
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data.each_with_index do |row, i|
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pdf.text "#{i+1}. #{row.values.join(", ")}"
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end
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send_data pdf.render, filename: "graduation_stats.pdf", type: "application/pdf"
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end
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private
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def fetch_filter_options
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response = HTTParty.get("https://educationtocareer.data.mass.gov/resource/n2xa-p822.json?$limit=1000", headers: headers)
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df = response.parsed_response
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{
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org_types: df.map { |x| x["org_type"] }.compact.uniq.sort,
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school_years: df.map { |x| x["sy"] }.compact.uniq.sort.reverse,
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rate_types: df.map { |x| x["grad_rate_type"] }.compact.uniq.sort,
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student_groups: df.map { |x| x["stu_grp"] }.compact.uniq.sort
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}
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end
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def fetch_filtered_data(filters)
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where_clause = URI.encode_www_form_component("org_type='#{filters[:org_type]}' AND sy='#{filters[:sy]}' AND grad_rate_type='#{filters[:grad_rate_type]}' AND stu_grp='#{filters[:stu_grp]}'")
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url = "https://educationtocareer.data.mass.gov/resource/n2xa-p822.json?$where=#{where_clause}&$limit=50000"
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response = HTTParty.get(url, headers: headers)
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df = response.parsed_response
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numeric_cols = %w[cohort_cnt grad_pct in_sch_pct non_grad_pct ged_pct drpout_pct exclud_pct]
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df.each do |row|
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numeric_cols.each { |col| row[col] = row[col].to_f if row[col] }
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end
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name_col, code_col = case filters[:org_type]
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when "District" then ["dist_name", "dist_code"]
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when "School" then ["org_name", "org_code"]
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else ["org_name", "org_code"]
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end
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df.map.with_index(1) do |row, idx|
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{
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"S. No." => idx,
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name_col => row[name_col],
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code_col => row[code_col],
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"# in Cohort" => row["cohort_cnt"],
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"% Graduated" => row["grad_pct"],
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"% Still in School" => row["in_sch_pct"],
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"% Non-Grad Completers" => row["non_grad_pct"],
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"% H.S. Equiv." => row["ged_pct"],
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"% Dropped Out" => row["drpout_pct"],
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"% Permanently Excluded" => row["exclud_pct"]
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}
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end
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end
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def headers
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{ "X-App-Token" => ENV["SOCRATA_APP_TOKEN"] }
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end
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end |