Learn how to use Timeline Formatter.

Timeline

Timeline formatter will help you to prepare data for (pretty much) any (reasonable) charting library that supports timestamps.

format method accepts a block where at and value variables are available. You can use this to format at timestamp into desired version, or return only value, or return hash or multi-dimensional array. The choice is yours!

series = Trifle::Stats.series(...)
=> #<Trifle::Stats::Series:0x0000ffffa14256e8 @series={:at=>[2024-03-22 19:38:00 +0000, 2024-03-22 19:39:00 +0000], :values=>[{events: {count: 42, sum: 2184}}, {events: {count: 33, sum: 1553}}]}>
sample_data = series.format.timeline(path: 'events.count') do |at, value|
  value.to_i
end
=> [42, 33]

array_data = series.format.timeline(path: 'events.count') do |at, value|
  [at.to_i, value.to_i]
end
=> [[1711136280, 42], [1711136340, 33]]

hash_data = series.format.timeline(path: 'events.count') do |at, value|
  { x: at.to_i, y: value.to_i }
end
=> [{ x: 1711136280, y: 42 }, { x: 1711136340, y: 33 }]

Note: path is a list of keys joined by dot. Ie orders.shipped.count would represent value at {orders: { shipped: { count: ... } } }.

If your value comes from transponder like Standard Deviation, you may wanna multiply value by a constant that calculate specific percentile.

series = Trifle::Stats.series(...)
=> #<Trifle::Stats::Series:0x0000ffffa14256e8 @series={:at=>[2024-03-22 19:38:00 +0000, 2024-03-22 19:39:00 +0000], :values=>[{events: {count: 42, sum: 2184}}, {events: {count: 33, sum: 1553}}]}>
series.transpond.standard_deviation(path: 'events')
=> #<Trifle::Stats::Series:0x0000ffffa14256e8 @series={:at=>[2024-03-22 19:38:00 +0000, 2024-03-22 19:39:00 +0000], :values=>[{events: {count: 42, sum: 2184, sd: 123}}, {events: {count: 33, sum: 1553, sd: 456}}]}>

p95 = series.format.timeline(path: 'events.sd') do |at, value|
  {x: at.to_i, y: value * 1.98}
end
=> [{ x: 1711136280, y: 243.54 }, { x: 1711136340, y: 902.88 }]

p99 = formatter.format(path: 'events.sd') do |at, value|
  {x: at.to_i, y: value * 2.58}
end
=> [{ x: 1711136280, y: 317.34 }, { x: 1711136340, y: 1176.48 }

Note: The above example of standard deviation transponder is not valid as its missing necessary keys inside of the events hash. The goal was to illustrate how to use formatter to further perform calculation before ploting.

And thats it. Now you prepared series for plotting your percentiles.