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Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
130 lines
4.1 KiB
130 lines
4.1 KiB
require "fileutils"
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class Cleaner
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attr_reader :input_filepath, :output_filepath, :log_filepath
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def initialize(input_filepath:, output_filepath:, log_filepath:)
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@input_filepath = input_filepath
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@output_filepath = output_filepath
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@log_filepath = log_filepath
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initialize_directories
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end
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def clean
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Dir.glob(Rails.root.join(input_filepath, "*.csv")).each do |filepath|
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puts filepath
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File.open(filepath) do |file|
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processed_data = process_raw_file(file:)
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processed_data in [headers, clean_csv, log_csv, data]
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return if data.empty?
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filename = filename(headers:, data:)
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write_csv(data: clean_csv, output_filepath:, filename:)
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write_csv(data: log_csv, output_filepath: log_filepath, prefix: "removed.", filename:)
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end
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end
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end
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def filename(headers:, data:)
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survey_item_ids = headers.filter(&:present?).filter do |header|
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header.start_with?("s-", "t-")
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end.reject { |item| item.end_with? "-1" }
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survey_type = SurveyItem.survey_type(survey_item_ids:)
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range = data.first.academic_year.range
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districts = data.map do |row|
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row.district.short_name
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end.to_set.to_a
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districts.join(".").to_s + "." + survey_type.to_s + "." + range + ".csv"
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end
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def process_raw_file(file:)
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clean_csv = []
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log_csv = []
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data = []
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headers = CSV.parse(file.first).first
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duplicate_header = headers.detect { |header| headers.count(header) > 1 }
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unless duplicate_header.nil?
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puts "\n>>>>>>>>>>>>>>>>>> Duplicate header found. This will misalign column headings. Please delete or rename the duplicate column: #{duplicate_header} \n>>>>>>>>>>>>>> \n"
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end
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headers = headers.to_set
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headers = headers.merge(Set.new(["Raw Income", "Income", "Raw ELL", "ELL", "Raw SpEd", "SpEd", "Progress Count",
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"Race", "Gender"])).to_a
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filtered_headers = include_all_headers(headers:)
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filtered_headers = remove_unwanted_headers(headers: filtered_headers)
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log_headers = (filtered_headers + ["Valid Duration?", "Valid Progress?", "Valid Grade?",
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"Valid Standard Deviation?"]).flatten
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clean_csv << filtered_headers
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log_csv << log_headers
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all_survey_items = survey_items(headers:)
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file.lazy.each_slice(1000) do |lines|
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CSV.parse(lines.join, headers:).map do |row|
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values = SurveyItemValues.new(row:, headers:, genders:,
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survey_items: all_survey_items, schools:)
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next unless values.valid_school?
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data << values
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values.valid? ? clean_csv << values.to_a : log_csv << (values.to_a << values.valid_duration?.to_s << values.valid_progress?.to_s << values.valid_grade?.to_s << values.valid_sd?.to_s)
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end
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end
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[headers, clean_csv, log_csv, data]
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end
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private
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def include_all_headers(headers:)
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alternates = headers.filter(&:present?)
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.filter { |header| header.match?(/^[st]-\w*-\w*-1$/i) }
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alternates.each do |header|
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main = header.sub(/-1\z/, "")
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headers.push(main) unless headers.include?(main)
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end
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headers
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end
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def initialize_directories
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create_ouput_directory
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create_log_directory
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end
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def remove_unwanted_headers(headers:)
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headers.to_set.to_a.compact.reject do |item|
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item.start_with? "Q"
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end.reject { |header| header.match?(/^[st]-\w*-\w*-1$/i) }
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end
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def write_csv(data:, output_filepath:, filename:, prefix: "")
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csv = CSV.generate do |csv|
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data.each do |row|
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csv << row
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end
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end
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File.write(output_filepath.join(prefix + filename), csv)
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end
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def schools
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@schools ||= School.school_hash
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end
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def genders
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@genders ||= Gender.by_qualtrics_code
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end
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def survey_items(headers:)
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survey_item_ids = headers
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.filter(&:present?)
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.filter { |header| header.start_with? "t-", "s-" }
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@survey_items ||= SurveyItem.where(survey_item_id: survey_item_ids)
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end
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def create_ouput_directory
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FileUtils.mkdir_p output_filepath
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end
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def create_log_directory
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FileUtils.mkdir_p log_filepath
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end
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end
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