Class: GoodJob::ScheduledByQueueChart

Inherits:
BaseChart
  • Object
show all
Defined in:
app/charts/good_job/scheduled_by_queue_chart.rb

Instance Method Summary collapse

Methods inherited from BaseChart

#start_end_binds, #string_to_hsl

Constructor Details

#initialize(filter) ⇒ ScheduledByQueueChart

Returns a new instance of ScheduledByQueueChart.



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# File 'app/charts/good_job/scheduled_by_queue_chart.rb', line 5

def initialize(filter)
  super()
  @filter = filter
end

Instance Method Details

#dataObject



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# File 'app/charts/good_job/scheduled_by_queue_chart.rb', line 10

def data
  binds = start_end_binds
  start_time, end_time = binds.map(&:value)

  # Align the inner range predicate to the same hour buckets the outer generate_series
  # produces. Doing the truncation in SQL (rather than in Ruby with beginning_of_hour)
  # keeps both sides on the same grid even when the app's time zone has a fractional
  # offset from UTC (e.g. IST +05:30). AR serializes Time binds as UTC, so the outer
  # date_trunc operates in UTC, and this predicate must match that.
  pushdown = <<~SQL.squish
    "good_jobs"."scheduled_at" >= date_trunc('hour', ?::timestamp)
    AND "good_jobs"."scheduled_at" < date_trunc('hour', ?::timestamp) + interval '1 hour'
  SQL

  inner_sql = @filter.filtered_query
                     .except(:select, :order)
                     .where(pushdown, start_time, end_time)
                     .select(:queue_name, :scheduled_at)
                     .to_sql

  count_query = <<~SQL.squish
    SELECT *
    FROM generate_series(
      date_trunc('hour', $1::timestamp),
      date_trunc('hour', $2::timestamp),
      '1 hour'
    ) timestamp
    LEFT JOIN (
      SELECT
          date_trunc('hour', scheduled_at) AS scheduled_at,
          queue_name,
          count(*) AS count
        FROM (#{inner_sql}) sources
        GROUP BY date_trunc('hour', scheduled_at), queue_name
    ) sources ON sources.scheduled_at = timestamp
    ORDER BY timestamp ASC
  SQL

  executions_data = GoodJob::Job.connection_pool.with_connection { |conn| conn.exec_query(GoodJob::Job.pg_or_jdbc_query(count_query), "GoodJob Dashboard Chart", binds) }

  queue_names = executions_data.reject { |d| d['count'].nil? }.map { |d| d['queue_name'] || BaseFilter::EMPTY }.uniq
  labels = []
  queues_data = executions_data.to_a.group_by { |d| d['timestamp'] }.each_with_object({}) do |(timestamp, values), hash|
    labels << timestamp.in_time_zone.strftime('%H:%M')
    queue_names.each do |queue_name|
      (hash[queue_name] ||= []) << values.find { |d| d['queue_name'] == queue_name }&.[]('count')
    end
  end

  {
    type: "line",
    data: {
      labels: labels,
      datasets: queues_data.map do |queue, data|
        label = queue || '(none)'
        {
          label: label,
          data: data,
          backgroundColor: string_to_hsl(label),
          borderColor: string_to_hsl(label),
        }
      end,
    },
    options: {
      scales: {
        y: {
          beginAtZero: true,
        },
      },
    },
  }
end