Class: Glancer::ChartAnalyzer

Inherits:
Object
  • Object
show all
Defined in:
lib/glancer/chart_analyzer.rb

Overview

Analyzes query result data and returns an array of Chart.js-compatible config hashes. Returns [] when no meaningful chart can be produced. No data is sent to any AI.

Constant Summary collapse

MIN_ROWS = 
2
MAX_PIE_CATEGORIES = 
8
MAX_LINE_POINTS = 
500
MAX_BAR_CATEGORIES = 
60
MAX_SCATTER_POINTS = 
1000

Class Method Summary collapse

Class Method Details

.analyze(data) ⇒ Object 



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# File 'lib/glancer/chart_analyzer.rb', line 14

def self.analyze(data)
  return [] unless suitable?(data)

  keys        = data.first.keys
  date_col    = detect_date_column(data, keys)
  id_cols     = detect_id_columns(keys)
  all_numeric = detect_all_numeric(data, keys)

  measure_cols = (all_numeric - id_cols).select do |k|
    data.map { |r| r[k] }.compact.map { |v| to_f(v) }.uniq.size > 1
  end

  group_col = detect_group_column(data, keys, date_col: date_col, measure_cols: measure_cols)
  label_col = detect_label_column(data, keys, exclude: [date_col, group_col].compact + all_numeric)

  charts = []

  charts << build_multi_series(data, date_col, group_col, measure_cols.first) \
    if date_col && group_col && measure_cols.any?

  if date_col && measure_cols.any? && !group_col && data.size <= MAX_LINE_POINTS
    filled = fill_monthly_gaps(data, date_col, measure_cols)
    charts << build_line(filled, date_col, measure_cols)
    charts << build_bar(filled, date_col, measure_cols)
  end

  if !date_col && !group_col && label_col && measure_cols.any?
    unique_labels = data.map { |r| r[label_col] }.uniq.size
    if unique_labels <= MAX_BAR_CATEGORIES
      charts << build_bar(data, label_col, measure_cols)
      charts << build_doughnut(data, label_col, measure_cols.first) if measure_cols.size == 1 && unique_labels <= MAX_PIE_CATEGORIES
    end
  end

  if measure_cols.size >= 2 && date_col.nil? && group_col.nil? && data.size <= MAX_SCATTER_POINTS
    charts << build_scatter(data, measure_cols[0], measure_cols[1])
  end

  charts.compact
rescue StandardError
  []
end