Class: RailsPulse::Charts::PercentileChartBase

Inherits:
Object
  • Object
show all
Defined in:
app/models/rails_pulse/charts/percentile_chart_base.rb

Instance Method Summary collapse

Constructor Details

#initialize(ransack_query:, period_type: nil, subject: nil, start_time: nil, end_time: nil, start_duration: nil, disabled_tags: [], show_non_tagged: true) ⇒ PercentileChartBase

Returns a new instance of PercentileChartBase.



4
5
6
7
8
9
10
11
12
13
 
# File 'app/models/rails_pulse/charts/percentile_chart_base.rb', line 4

def initialize(ransack_query:, period_type: nil, subject: nil, start_time: nil, end_time: nil, start_duration: nil, disabled_tags: [], show_non_tagged: true)
  @ransack_query = ransack_query
  @period_type = period_type
  @subject = subject
  @start_time = start_time
  @end_time = end_time
  @start_duration = start_duration
  @disabled_tags = disabled_tags
  @show_non_tagged = show_non_tagged
end

Instance Method Details

#to_chart_data ⇒ Object 



15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
 
# File 'app/models/rails_pulse/charts/percentile_chart_base.rb', line 15

def to_chart_data
  summaries = @ransack_query.result(distinct: false)
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: summarizable_type,
      period_type: @period_type
    )

  summaries = summaries.where(summarizable_id: @subject.id) if @subject

  # Group by period_start at database level and calculate weighted aggregates
  summaries = summaries
    .group(:period_start)
    .select(
      :period_start,
      "SUM(count) as total_count",
      "SUM(p50_duration * count) as total_weighted_p50",
      "SUM(p95_duration * count) as total_weighted_p95",
      "SUM(p99_duration * count) as total_weighted_p99"
    )

  # Build raw_data hash from grouped results
  raw_data = {}
  summaries.each do |summary|
    timestamp = summary.period_start.to_i
    count = summary.total_count || 0

    raw_data[timestamp] = {
      total_weighted_p50: summary.total_weighted_p50 || 0,
      total_weighted_p95: summary.total_weighted_p95 || 0,
      total_weighted_p99: summary.total_weighted_p99 || 0,
      total_count: count
    }
  end

  # Convert to final values (weighted averages) and pad missing data
  step = @period_type.to_s == "hour" ? 3600 : 86400
  daily_data = {}
  (@start_time.to_i..@end_time.to_i).step(step) do |timestamp|
    if raw_data[timestamp]
      count = raw_data[timestamp][:total_count]
      daily_data[timestamp] = {
        p50: count > 0 ? (raw_data[timestamp][:total_weighted_p50] / count).round(2) : nil,
        p95: count > 0 ? (raw_data[timestamp][:total_weighted_p95] / count).round(2) : nil,
        p99: count > 0 ? (raw_data[timestamp][:total_weighted_p99] / count).round(2) : nil
      }
    else
      daily_data[timestamp] = { p50: nil, p95: nil, p99: nil }
    end
  end

  # Build labels array (timestamps in milliseconds for JavaScript)
  labels = daily_data.keys.map { |timestamp| timestamp * 1000 }

  # Build series data
  series = []

  p50_data = daily_data.values.map { |data| data[:p50] }
  series << {
    name: "P50",
    data: p50_data,
    type: "line",
    color: RailsPulse::ChartColors::DEFAULT
  }

  p95_data = daily_data.values.map { |data| data[:p95] }
  series << {
    name: "P95",
    data: p95_data,
    type: "line",
    color: RailsPulse::ChartColors::P95
  }

  p99_data = daily_data.values.map { |data| data[:p99] }
  series << {
    name: "P99",
    data: p99_data,
    type: "line",
    color: RailsPulse::ChartColors::P99
  }

  slo_configs = RailsPulse.configuration.public_send(slo_config_key)
  slo_configs.each do |slo|
    color = slo[:percentile] == 95 ? RailsPulse::ChartColors::P95 : RailsPulse::ChartColors::P99
    series.unshift({
      name: "P#{slo[:percentile]} SLO (#{slo[:threshold]}ms)",
      data: Array.new(labels.length, slo[:threshold]),
      type: "line",
      lineStyle: { type: "dashed", width: 2 },
      color: color,
      symbol: "none"
    })
  end

  {
    labels: labels,
    series: series
  }
end