Class: Admin::AiUsageLogsController

Inherits:
CrmController
  • Object
show all
Defined in:
app/controllers/admin/ai_usage_logs_controller.rb

Instance Method Summary collapse

Instance Method Details

#index ⇒ Object 



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# File 'app/controllers/admin/ai_usage_logs_controller.rb', line 6

def index
  @period     = params[:period].presence&.to_i || 30
  @feature    = params[:feature].presence
  @provider   = params[:provider].presence
  @user_id    = params[:user_id].presence&.to_i

  @since      = @period.days.ago

  @features   = AiUsageLog.distinct.pluck(:feature).compact.sort
  @users      = Account.joins(:party)
                       .where(id: AiUsageLog.where.not(account_id: nil).select(:account_id).distinct)
                       .pluck('parties.full_name', 'accounts.id')
                       .sort_by(&:first)

  base = AiUsageLog.where('created_at >= ?', @since)
  base = base.where(feature: @feature)   if @feature.present?
  base = base.where(provider: @provider)  if @provider.present?
  base = base.where(account_id: @user_id) if @user_id.present?

  # Summary cards
  @total_logs          = base.count
  @total_input_tokens  = base.sum(:input_tokens).to_i
  @total_output_tokens = base.sum(:output_tokens).to_i
  @total_cost_usd      = base.where.not(cost_microdollars: nil).sum(:cost_microdollars).to_f /
                         AiUsageLog::MICRODOLLARS_PER_DOLLAR

  # Rollup by feature (for the period)
  @by_feature = AiUsageLog
                .where('created_at >= ?', @since)
                .group(:feature)
                .pluck(
                  :feature,
                  Arel.sql('COUNT(*) AS calls'),
                  Arel.sql('COALESCE(SUM(input_tokens), 0)'),
                  Arel.sql('COALESCE(SUM(output_tokens), 0)'),
                  Arel.sql('COALESCE(SUM(cost_microdollars), 0)'),
                  Arel.sql('SUM(CASE WHEN cost_microdollars IS NULL THEN 1 ELSE 0 END)')
                )
                .map do |feature, calls, input_t, output_t, cost_micro, null_count|
                  {
                    feature:       feature,
                    calls:         calls,
                    input_tokens:  input_t,
                    output_tokens: output_t,
                    cost_usd:      cost_micro.to_f / AiUsageLog::MICRODOLLARS_PER_DOLLAR,
                    null_cost_count: null_count.to_i
                  }
                end
                .sort_by { |r| -r[:cost_usd] }

  # Rollup by provider + model
  @by_model = AiUsageLog
              .where('created_at >= ?', @since)
              .group(:provider, :model_id)
              .pluck(
                :provider,
                :model_id,
                Arel.sql('COUNT(*) AS calls'),
                Arel.sql('COALESCE(SUM(input_tokens), 0)'),
                Arel.sql('COALESCE(SUM(output_tokens), 0)'),
                Arel.sql('COALESCE(SUM(cost_microdollars), 0)'),
                Arel.sql('SUM(CASE WHEN cost_microdollars IS NULL THEN 1 ELSE 0 END)')
              )
              .map do |provider, model_id, calls, input_t, output_t, cost_micro, null_count|
                {
                  provider:      provider,
                  model_id:      model_id,
                  calls:         calls,
                  input_tokens:  input_t,
                  output_tokens: output_t,
                  cost_usd:      cost_micro.to_f / AiUsageLog::MICRODOLLARS_PER_DOLLAR,
                  null_cost_count: null_count.to_i
                }
              end
              .sort_by { |r| -r[:cost_usd] }

  # Rollup by user (from ai_usage_logs)
  @by_user = AiUsageLog
             .where('ai_usage_logs.created_at >= ?', @since)
             .joins('LEFT JOIN accounts ON accounts.id = ai_usage_logs.account_id')
             .joins('LEFT JOIN parties ON parties.id = accounts.party_id')
             .group(:account_id, 'accounts.login', 'parties.full_name')
             .pluck(
               :account_id,
               Arel.sql('accounts.login'),
               Arel.sql('parties.full_name'),
               Arel.sql('COUNT(*) AS calls'),
               Arel.sql('COALESCE(SUM(input_tokens), 0)'),
               Arel.sql('COALESCE(SUM(output_tokens), 0)'),
               Arel.sql('COALESCE(SUM(cost_microdollars), 0)')
             )
             .map do |, , full_name, calls, input_t, output_t, cost_micro|
               {
                 account_id:    ,
                 name:          full_name.presence || .presence || 'System / Automated',
                 calls:         calls,
                 input_tokens:  input_t,
                 output_tokens: output_t,
                 cost_usd:      cost_micro.to_f / AiUsageLog::MICRODOLLARS_PER_DOLLAR
               }
             end
             .sort_by { |r| -r[:cost_usd] }

  # Sunny Chat usage by user (from assistant_conversations — authoritative source)
  @chat_by_user = AssistantConversation
                  .where('assistant_conversations.created_at >= ?', @since)
                  .joins('JOIN parties ON parties.id = assistant_conversations.user_id')
                  .joins('LEFT JOIN accounts ON accounts.party_id = assistant_conversations.user_id')
                  .group('assistant_conversations.user_id', 'parties.full_name', 'accounts.login')
                  .pluck(
                    Arel.sql('assistant_conversations.user_id'),
                    Arel.sql('parties.full_name'),
                    Arel.sql('accounts.login'),
                    Arel.sql('COUNT(DISTINCT assistant_conversations.id)'),
                    Arel.sql("COALESCE(SUM((metadata->>'total_input_tokens')::int), 0)"),
                    Arel.sql("COALESCE(SUM((metadata->>'total_output_tokens')::int), 0)"),
                    Arel.sql("COALESCE(SUM((metadata->>'total_cost_cents')::float), 0)")
                  )
                  .map do |user_id, full_name, , convos, input_t, output_t, cost|
                    {
                      user_id:       user_id,
                      name:          full_name.presence || .presence || "User ##{user_id}",
                      conversations: convos,
                      input_tokens:  input_t,
                      output_tokens: output_t,
                      cost_usd:      cost
                    }
                  end
                  .sort_by { |r| -r[:cost_usd] }

  # Daily spend for sparkline
  @daily_cost = AiUsageLog
                .where('created_at >= ?', @since)
                .group(Arel.sql("DATE(created_at AT TIME ZONE 'America/Chicago')"))
                .sum(:cost_microdollars)
                .transform_values { |v| v.to_f / AiUsageLog::MICRODOLLARS_PER_DOLLAR }
                .sort.to_h

  # Recent log entries with eager-loaded associations for display
  @logs = base.includes(account: :party)
              .order(created_at: :desc)
              .limit(100)

  # Pre-load conversation titles for entries linked to AssistantConversation
  conv_ids = @logs.select { |l| l.subject_type == 'AssistantConversation' }.map(&:subject_id).compact.uniq
  @conversation_titles = conv_ids.any? ? AssistantConversation.where(id: conv_ids).pluck(:id, :title, :user_id).to_h { |id, title, uid| [id, { title: title, user_id: uid }] } : {}

  # Also extract conversation_ids from metadata (embedding entries store it there)
  meta_conv_ids = @logs.filter_map { |l| l.metadata['conversation_id'] }.uniq - conv_ids
  if meta_conv_ids.any?
    AssistantConversation.where(id: meta_conv_ids).pluck(:id, :title, :user_id).each do |id, title, uid|
      @conversation_titles[id] = { title: title, user_id: uid }
    end
  end
end