Class: RailsPulse::Queries::Cards::AverageQueryTimes

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

Instance Method Summary collapse

Constructor Details

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

Returns a new instance of AverageQueryTimes.



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# File 'app/models/rails_pulse/queries/cards/average_query_times.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/average_query_times.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

  # Single query to get all aggregated metrics with conditional sums
  base_query = RailsPulse::Summary
    .with_tag_filters(@disabled_tags, @show_non_tagged)
    .where(
      summarizable_type: "RailsPulse::Query",
      period_type: "day",
      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(avg_duration * count) AS total_weighted_duration",
    "SUM(count) AS total_requests",
    "SUM(CASE WHEN period_start >= '#{last_7_days.strftime('%Y-%m-%d %H:%M:%S')}' THEN avg_duration * count ELSE 0 END) AS current_weighted_duration",
    "SUM(CASE WHEN period_start >= '#{last_7_days.strftime('%Y-%m-%d %H:%M:%S')}' THEN count ELSE 0 END) AS current_requests",
    "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 avg_duration * count ELSE 0 END) AS previous_weighted_duration",
    "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_requests"
  ).take

  # Calculate metrics from single query result
  average_query_time = metrics.total_requests.to_i > 0 ? (metrics.total_weighted_duration / metrics.total_requests).round(0) : 0
  current_period_avg = metrics.current_requests.to_i > 0 ? (metrics.current_weighted_duration / metrics.current_requests) : 0
  previous_period_avg = metrics.previous_requests.to_i > 0 ? (metrics.previous_weighted_duration / metrics.previous_requests) : 0

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

  # Sparkline data by day with zero-filled days over the last 14 days
  # Use Groupdate to get grouped sums and compute weighted averages per day
  grouped_weighted = base_query
    .group_by_day(:period_start, time_zone: "UTC")
    .sum(Arel.sql("avg_duration * count"))

  grouped_counts = base_query
    .group_by_day(:period_start, time_zone: "UTC")
    .sum(:count)

  # Build a continuous 14-day range, fill missing days with 0
  start_day = 2.weeks.ago.beginning_of_day.to_date
  end_day = Time.current.to_date

  sparkline_data = {}
  (start_day..end_day).each do |day|
    weighted_sum = grouped_weighted[day] || 0
    count_sum = grouped_counts[day] || 0
    avg = count_sum > 0 ? (weighted_sum.to_f / count_sum).round(0) : 0
    label = day.strftime("%b %-d")
    sparkline_data[label] = { value: avg }
  end

  {
    id: "average_query_times",
    context: "queries",
    title: "Average Query Time",
    summary: "#{average_query_time} ms",
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: "Compared to last week"
  }
end