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feat: expose app insights as Prometheus metrics (#10346)
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@ -218,6 +218,53 @@ SELECT
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FROM app_stats_by_user_and_agent
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GROUP BY access_method, slug_or_port, display_name, icon, is_app;
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-- name: GetTemplateAppInsightsByTemplate :many
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WITH app_stats_by_user_and_agent AS (
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SELECT
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s.start_time,
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60 as seconds,
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w.template_id,
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was.user_id,
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was.agent_id,
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was.slug_or_port,
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wa.display_name,
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(wa.slug IS NOT NULL)::boolean AS is_app
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FROM workspace_app_stats was
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JOIN workspaces w ON (
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w.id = was.workspace_id
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)
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-- We do a left join here because we want to include user IDs that have used
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-- e.g. ports when counting active users.
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LEFT JOIN workspace_apps wa ON (
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wa.agent_id = was.agent_id
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AND wa.slug = was.slug_or_port
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)
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-- This table contains both 1 minute entries and >1 minute entries,
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-- to calculate this with our uniqueness constraints, we generate series
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-- for the longer intervals.
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CROSS JOIN LATERAL generate_series(
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date_trunc('minute', was.session_started_at),
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-- Subtract 1 microsecond to avoid creating an extra series.
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date_trunc('minute', was.session_ended_at - '1 microsecond'::interval),
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'1 minute'::interval
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) s(start_time)
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WHERE
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s.start_time >= @start_time::timestamptz
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-- Subtract one minute because the series only contains the start time.
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AND s.start_time < (@end_time::timestamptz) - '1 minute'::interval
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GROUP BY s.start_time, w.template_id, was.user_id, was.agent_id, was.slug_or_port, wa.display_name, wa.slug
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)
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SELECT
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template_id,
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display_name,
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slug_or_port,
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COALESCE(COUNT(DISTINCT user_id))::bigint AS active_users,
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SUM(seconds) AS usage_seconds
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FROM app_stats_by_user_and_agent
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WHERE is_app IS TRUE
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GROUP BY template_id, display_name, slug_or_port;
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-- name: GetTemplateInsightsByInterval :many
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-- GetTemplateInsightsByInterval returns all intervals between start and end
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-- time, if end time is a partial interval, it will be included in the results and
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