Class: RailsPulse::Queries::Cards::ExecutionRate

Inherits:
Object
  • Object
show all
Defined in:
app/models/rails_pulse/queries/cards/execution_rate.rb

Instance Method Summary collapse

Constructor Details

#initialize(query: nil, disabled_tags: [], show_non_tagged: true) ⇒ ExecutionRate

Returns a new instance of ExecutionRate.



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# File 'app/models/rails_pulse/queries/cards/execution_rate.rb', line 5

def initialize(query: nil, disabled_tags: [], show_non_tagged: true)
  @query = query
  @disabled_tags = disabled_tags
  @show_non_tagged = show_non_tagged
end

Instance Method Details

#to_metric_card ⇒ Object 



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# File 'app/models/rails_pulse/queries/cards/execution_rate.rb', line 11

def to_metric_card
  last_7_days = 7.days.ago.beginning_of_day
  previous_7_days = 14.days.ago.beginning_of_day

  # Get the most common period type for this query, or fall back to "day"
  period_type = if @query
    RailsPulse::Summary
      .with_tag_filters(@disabled_tags, @show_non_tagged)
      .where(
        summarizable_type: "RailsPulse::Query",
        summarizable_id: @query.id
      ).group(:period_type).count.max_by(&:last)&.first || "day"
  else
    "day"
  end

  # Single query to get all count metrics with conditional aggregation
  base_query = RailsPulse::Summary
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: "RailsPulse::Query",
      period_type: period_type,
      period_start: 2.weeks.ago.beginning_of_day..Time.current
    )
  base_query = base_query.where(summarizable_id: @query.id) if @query

  metrics = base_query.select(
    "SUM(count) AS total_count",
    "SUM(CASE WHEN period_start >= '#{last_7_days.strftime('%Y-%m-%d %H:%M:%S')}' THEN count ELSE 0 END) AS current_count",
    "SUM(CASE WHEN period_start >= '#{previous_7_days.strftime('%Y-%m-%d %H:%M:%S')}' AND period_start < '#{last_7_days.strftime('%Y-%m-%d %H:%M:%S')}' THEN count ELSE 0 END) AS previous_count"
  ).take

  # Calculate metrics from single query result
  total_execution_count = metrics.total_count || 0
  current_period_count = metrics.current_count || 0
  previous_period_count = metrics.previous_count || 0

  percentage = previous_period_count.zero? ? 0 : ((previous_period_count - current_period_count) / previous_period_count.to_f * 100).abs.round(1)
  trend_icon = percentage < 0.1 ? "move-right" : current_period_count < previous_period_count ? "trending-down" : "trending-up"
  trend_amount = previous_period_count.zero? ? "0%" : "#{percentage}%"

  # Sparkline data with zero-filled periods over the last 14 days
  if period_type == "day"
    grouped_data = base_query
      .group_by_day(:period_start, time_zone: "UTC")
      .sum(:count)

    start_period = 2.weeks.ago.beginning_of_day.to_date
    end_period = Time.current.to_date

    sparkline_data = {}
    (start_period..end_period).each do |day|
      total = grouped_data[day] || 0
      label = day.strftime("%b %-d")
      sparkline_data[label] = { value: total }
    end
  else
    # For hourly data, group by day for sparkline display
    grouped_data = base_query
      .group("DATE(period_start)")
      .sum(:count)

    start_period = 2.weeks.ago.beginning_of_day.to_date
    end_period = Time.current.to_date

    sparkline_data = {}
    (start_period..end_period).each do |day|
      date_key = day.strftime("%Y-%m-%d")
      total = grouped_data[date_key] || 0
      label = day.strftime("%b %-d")
      sparkline_data[label] = { value: total }
    end
  end

  # Calculate appropriate rate display based on frequency
  total_minutes = 2.weeks / 1.minute.to_f
  executions_per_minute = total_execution_count.to_f / total_minutes

  # Choose appropriate time unit for display
  if executions_per_minute >= 1
    summary = "#{executions_per_minute.round(2)} / min"
  elsif executions_per_minute * 60 >= 1
    executions_per_hour = executions_per_minute * 60
    summary = "#{executions_per_hour.round(2)} / hour"
  else
    executions_per_day = executions_per_minute * 60 * 24
    summary = "#{executions_per_day.round(2)} / day"
  end

  {
    id: "execution_rate",
    context: "queries",
    title: "Execution Rate",
    summary: summary,
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: "Compared to last week"
  }
end