module Blazer class Result attr_reader :data_source, :columns, :rows, :error, :cached_at, :just_cached, :forecast_error def initialize(data_source, columns, rows, error, cached_at, just_cached) @data_source = data_source @columns = columns @rows = rows @error = error @cached_at = cached_at @just_cached = just_cached end def timed_out? error == Blazer::TIMEOUT_MESSAGE end def cached? cached_at.present? end def boom @boom ||= begin boom = {} columns.each_with_index do |key, i| smart_columns_data_source = ([data_source] + Array(data_source.settings["inherit_smart_settings"]).map { |ds| Blazer.data_sources[ds] }).find { |ds| ds.smart_columns[key] } if smart_columns_data_source query = smart_columns_data_source.smart_columns[key] res = if query.is_a?(Hash) query else values = rows.map { |r| r[i] }.compact.uniq result = smart_columns_data_source.run_statement(ActiveRecord::Base.send(:sanitize_sql_array, [query.sub("{value}", "(?)"), values])) result.rows end boom[key] = Hash[res.map { |k, v| [k.nil? ? k : k.to_s, v] }] end end boom end end def column_types @column_types ||= begin columns.each_with_index.map do |k, i| v = (rows.find { |r| r[i] } || {})[i] if boom[k] "string" elsif v.is_a?(Numeric) "numeric" elsif v.is_a?(Time) || v.is_a?(Date) "time" elsif v.nil? nil else "string" end end end end def chart_type @chart_type ||= begin if column_types.compact.size >= 2 && column_types.compact == ["time"] + (column_types.compact.size - 1).times.map { "numeric" } "line" elsif column_types == ["time", "string", "numeric"] "line2" elsif column_types == ["string", "numeric"] && @columns.last == "pie" "pie" elsif column_types.compact.size >= 2 && column_types == ["string"] + (column_types.compact.size - 1).times.map { "numeric" } "bar" elsif column_types == ["string", "string", "numeric"] "bar2" elsif column_types == ["numeric", "numeric"] "scatter" end end end def forecastable? @forecastable ||= Blazer.forecasting && column_types == ["time", "numeric"] && @rows.size >= 10 end # TODO cache it? # don't want to put result data (even hashed version) # into cache without developer opt-in def forecast count = (@rows.size * 0.25).round.clamp(30, 365) case Blazer.forecasting when "prophet" require "prophet" forecast = Prophet.forecast(@rows.to_h, count: count) else require "trend" forecast = Trend.forecast(@rows.to_h, count: count) end # round integers if @rows[0][1].is_a?(Integer) forecast = forecast.map { |k, v| [k, v.round] }.to_h end @rows.each do |row| row[2] = nil end @rows.unshift(*forecast.map { |k, v| [k, nil, v] }) @columns << "forecast" # reset cache @column_types = nil @chart_type = nil forecast rescue => e @forecast_error = String.new("Error generating forecast") @forecast_error << ": #{e.message.sub("Invalid parameter: ", "")}" nil end def detect_anomaly anomaly = nil message = nil if rows.empty? message = "No data" else if chart_type == "line" || chart_type == "line2" series = [] if chart_type == "line" columns[1..-1].each_with_index.each do |k, i| series << {name: k, data: rows.map{ |r| [r[0], r[i + 1]] }} end else rows.group_by { |r| v = r[1]; (boom[columns[1]] || {})[v.to_s] || v }.each_with_index.map do |(name, v), i| series << {name: name, data: v.map { |v2| [v2[0], v2[2]] }} end end current_series = nil begin anomalies = [] series.each do |s| current_series = s[:name] anomalies << s[:name] if anomaly?(s[:data]) end anomaly = anomalies.any? if anomaly if anomalies.size == 1 message = "Anomaly detected in #{anomalies.first}" else message = "Anomalies detected in #{anomalies.to_sentence}" end else message = "No anomalies detected" end rescue => e message = "#{current_series}: #{e.message}" raise e if Rails.env.development? end else message = "Bad format" end end [anomaly, message] end def anomaly?(series) series = series.reject { |v| v[0].nil? }.sort_by { |v| v[0] } if Blazer.anomaly_checks == "trend" anomalies = Trend.anomalies(Hash[series]) anomalies.include?(series.last[0]) else csv_str = CSV.generate do |csv| csv << ["timestamp", "count"] series.each do |row| csv << row end end r_script = %x[which Rscript].chomp type = series.any? && series.last.first.to_time - series.first.first.to_time >= 2.weeks ? "ts" : "vec" args = [type, csv_str] raise "R not found" if r_script.empty? command = "#{r_script} --vanilla #{File.expand_path("../detect_anomalies.R", __FILE__)} #{args.map { |a| Shellwords.escape(a) }.join(" ")}" output = %x[#{command}] if output.empty? raise "Unknown R error" end rows = CSV.parse(output, headers: true) error = rows.first && rows.first["x"] raise error if error timestamps = [] if type == "ts" rows.each do |row| timestamps << Time.parse(row["timestamp"]) end timestamps.include?(series.last[0].to_time) else rows.each do |row| timestamps << row["index"].to_i end timestamps.include?(series.length) end end end end end