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

Inherits:
Cards::Base
  • 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, period: 7, period_type: "day") ⇒ 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, period: 7, period_type: "day")
  @query = query
  @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/queries/cards/average_query_times.rb', line 13

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

  metrics = base_query.select(
    "SUM(avg_duration * count) AS total_weighted_duration",
    "SUM(count) AS total_requests",
    "SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN avg_duration * count ELSE 0 END) AS current_weighted_duration",
    "SUM(CASE WHEN period_start >= #{quote(current_window_start)} THEN count ELSE 0 END) AS current_requests",
    "SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} THEN avg_duration * count ELSE 0 END) AS previous_weighted_duration",
    "SUM(CASE WHEN period_start >= #{quote(range_start)} AND period_start < #{quote(current_window_start)} 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

  # Use base class trend calculation
  trend_icon, trend_amount = trend_for(current_period_avg, previous_period_avg) if show_trend?

  # Sparkline data with zero-filled periods
  grouped_weighted = base_query
    .group_by_date(:period_start)
    .sum(Arel.sql("avg_duration * count"))

  grouped_counts = base_query
    .group_by_date(:period_start)
    .sum(:count)

  # Calculate weighted averages for each period
  averages_by_period = grouped_weighted.transform_keys(&:to_date).transform_values.with_index do |(weighted, day), _|
    count = grouped_counts[day] || 0
    count > 0 ? (weighted.to_f / count).round(0) : 0
  end

  # Use base class sparkline generation
  sparkline_data = sparkline_from(averages_by_period)

  {
    id: "average_query_times",
    context: "queries",
    title: "Average Query Time",
    summary: format_duration(average_query_time),
    chart_data: sparkline_data,
    trend_icon: trend_icon,
    trend_amount: trend_amount,
    trend_text: (show_trend? ? comparison_period_text : nil),
    period_stat: metrics.total_requests.to_i > 0 ? "Across #{format_number(metrics.total_requests.to_i)} queries" : period_date_range
  }
end