Class: RailsPulse::Routes::Cards::PercentileResponseTimes

Inherits:
Cards::Base
  • Object
show all
Defined in:
app/models/rails_pulse/routes/cards/percentile_response_times.rb

Instance Method Summary collapse

Constructor Details

#initialize(route: nil, disabled_tags: [], show_non_tagged: true, period: 7, period_type: "day") ⇒ PercentileResponseTimes

Returns a new instance of PercentileResponseTimes.



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# File 'app/models/rails_pulse/routes/cards/percentile_response_times.rb', line 5

def initialize(route: nil, disabled_tags: [], show_non_tagged: true, period: 7, period_type: "day")
  @route = route
  @disabled_tags = disabled_tags
  @show_non_tagged = show_non_tagged
  @period = period
  @period_type = period_type
end

Instance Method Details

#to_metric_card ⇒ Object 



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# File 'app/models/rails_pulse/routes/cards/percentile_response_times.rb', line 13

def to_metric_card
  # Use base class helper for query construction
  base_query = base_summary_query("RailsPulse::Route")

  metrics = base_query.select(
    "SUM(p95_duration * count) / NULLIF(SUM(count), 0) AS overall_p95",
    "SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN p95_duration * count ELSE 0 END) / NULLIF(SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN count ELSE 0 END), 0) AS current_p95",
    "SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} THEN p95_duration * count ELSE 0 END) / NULLIF(SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} THEN count ELSE 0 END), 0) AS previous_p95",
    "SUM(count) AS total_count"
  ).take

  # Calculate metrics from single query result
  p95_response_time = (metrics&.overall_p95 || 0).round(0)
  current_period_p95 = metrics&.current_p95 || 0
  previous_period_p95 = metrics&.previous_p95 || 0

  has_data = metrics.total_count.to_i > 0

  # Use base class trend calculation
  if show_trend?
    trend_icon, trend_amount = has_data ? trend_for(current_period_p95, previous_period_p95) : [ "move-right", "—" ]
  end

  # Build sparkline data using base class helpers
  sparkline_query = build_sparkline_query("RailsPulse::Route")
  weighted_sums = group_sparkline_by_period(sparkline_query, "p95_duration * count")
  period_counts = group_sparkline_by_period(sparkline_query, :count)

  # Calculate weighted averages for each period
  averages_by_period = weighted_sums.each_with_object({}) do |(period, weighted), hash|
    count = period_counts[period].to_i
    hash[period] = count > 0 ? (weighted.to_f / count).round(0) : 0
  end

  # Use base class sparkline generation (handles hour vs day automatically)
  sparkline_data = sparkline_from(averages_by_period)

  {
    id: "percentile_response_times",
    chart_color: RailsPulse::ChartColors::P95,
    context: "routes",
    title: "P95 Response Time",
    summary: has_data ? "#{p95_response_time} ms" : "—",
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: (show_trend? ? comparison_period_text : nil),
    period_stat: has_data ? "Across #{format_number(metrics.total_count.to_i)} requests" : period_date_range,
    help_heading: "P95 Response Time",
    help_text: "The 95th percentile response time — 95% of requests are faster than this. Weighted by request volume across all routes. A rising P95 indicates increasing slowness affecting your users."
  }
end