One parameterized function returns {window, open GeoJSON, closed GeoJSON, metrics,
freshness} for the FleetOps live INC map:
- open = all is_actionable tickets (live), filtered by cluster/status, with
sla_state/hours_open (from tickets.inc_open_sla)
- closed= closed_at within the selected window (EAT calendar today/week/month or
custom [from,to)), filtered by cluster/status
- metrics= open/closed counts, SLA split (open derived, closed source), by status/
cluster, closure rate + daily series, avg mttr (minutes)
Filters combine with AND; grants to dashboard_ro/grafana_ro. Verified live
(today/month/cluster/status/custom; last-7d closed=913 matches raw).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
169 lines
8.4 KiB
PL/PgSQL
169 lines
8.4 KiB
PL/PgSQL
-- 09_inc_dashboard_fn.sql — fleettickets · INC operations dashboard read-API
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-- ─────────────────────────────────────────────────────────────────────────────
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-- reporting.fn_inc_dashboard powers the FleetOps live INC map (served by
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-- dashboard_api). One call returns a single JSON payload:
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-- { window, open: GeoJSON, closed: GeoJSON, metrics, freshness }
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--
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-- open = ALL currently-open (is_actionable) tickets matching cluster/status
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-- (live; NOT time-filtered) — from tickets.inc_open_sla (sla_state,
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-- hours_open).
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-- closed = closed tickets whose closed_at falls in the selected window,
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-- matching cluster/status (the timeline overlay).
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-- metrics = ticket metrics over the selection (open/closed counts, SLA split,
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-- by status/cluster, closure rate + series, avg mttr minutes).
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--
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-- Window = calendar EAT (today / ISO-week / month) unless a custom [from,to) is
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-- given. Filters (cluster, status, time) combine with AND, each optional.
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-- Only rows with geom are emitted as map features; metric counts use the full
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-- filtered set (geocoded or not). Idempotent (CREATE OR REPLACE).
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-- ─────────────────────────────────────────────────────────────────────────────
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SET search_path = tickets, public;
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CREATE OR REPLACE FUNCTION reporting.fn_inc_dashboard(
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p_cluster text DEFAULT NULL,
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p_status text DEFAULT NULL,
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p_window text DEFAULT 'today',
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p_from timestamptz DEFAULT NULL,
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p_to timestamptz DEFAULT NULL
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)
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RETURNS jsonb LANGUAGE plpgsql STABLE AS $fn$
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DECLARE
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v_now_eat timestamp;
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v_from timestamptz;
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v_to timestamptz;
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v_preset text;
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v_days numeric;
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v_result jsonb;
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BEGIN
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p_cluster := NULLIF(p_cluster, '');
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p_status := NULLIF(p_status, '');
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v_now_eat := now() AT TIME ZONE 'Africa/Nairobi';
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-- ── resolve the window ──────────────────────────────────────────────────────
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IF p_from IS NOT NULL OR p_to IS NOT NULL THEN
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v_preset := 'custom';
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v_from := COALESCE(p_from, '-infinity'::timestamptz);
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v_to := COALESCE(p_to, 'infinity'::timestamptz);
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ELSE
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v_preset := lower(COALESCE(NULLIF(p_window, ''), 'today'));
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IF v_preset = 'week' THEN
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v_from := date_trunc('week', v_now_eat) AT TIME ZONE 'Africa/Nairobi';
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v_to := (date_trunc('week', v_now_eat) + interval '1 week') AT TIME ZONE 'Africa/Nairobi';
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ELSIF v_preset = 'month' THEN
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v_from := date_trunc('month', v_now_eat) AT TIME ZONE 'Africa/Nairobi';
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v_to := (date_trunc('month', v_now_eat) + interval '1 month') AT TIME ZONE 'Africa/Nairobi';
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ELSE
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v_preset := 'today';
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v_from := date_trunc('day', v_now_eat) AT TIME ZONE 'Africa/Nairobi';
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v_to := (date_trunc('day', v_now_eat) + interval '1 day') AT TIME ZONE 'Africa/Nairobi';
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END IF;
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END IF;
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IF v_from > '-infinity'::timestamptz AND v_to < 'infinity'::timestamptz THEN
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v_days := GREATEST(EXTRACT(EPOCH FROM (v_to - v_from)) / 86400.0, 1);
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ELSE
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v_days := NULL; -- open-ended custom window → per-day average not meaningful
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END IF;
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-- ── build payload ───────────────────────────────────────────────────────────
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WITH open_t AS (
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SELECT * FROM tickets.inc_open_sla
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WHERE (p_cluster IS NULL OR cluster = p_cluster)
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AND (p_status IS NULL OR normalized_status = p_status)
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),
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closed_t AS (
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SELECT ticket_id, normalized_status, cluster, region, location_name,
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assigned_team, owner, closed_at, mttr, sla_status, geo_source, geom
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FROM tickets.inc
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WHERE NOT COALESCE(is_actionable, false)
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AND closed_at IS NOT NULL
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AND closed_at >= v_from AND closed_at < v_to
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AND (p_cluster IS NULL OR cluster = p_cluster)
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AND (p_status IS NULL OR normalized_status = p_status)
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)
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SELECT jsonb_build_object(
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'window', jsonb_build_object('from', v_from, 'to', v_to, 'preset', v_preset),
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'open', jsonb_build_object(
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'type', 'FeatureCollection',
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'features', COALESCE((
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SELECT jsonb_agg(jsonb_build_object(
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'type', 'Feature',
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'properties', jsonb_build_object(
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'ticket_id', ticket_id, 'normalized_status', normalized_status,
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'cluster', cluster, 'region', region, 'location_name', location_name,
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'assigned_team', assigned_team, 'owner', owner, 'geo_source', geo_source,
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'sla_state', sla_state, 'hours_open', hours_open),
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'geometry', ST_AsGeoJSON(geom)::jsonb))
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FROM open_t WHERE geom IS NOT NULL), '[]'::jsonb)
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),
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'closed', jsonb_build_object(
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'type', 'FeatureCollection',
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'features', COALESCE((
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SELECT jsonb_agg(jsonb_build_object(
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'type', 'Feature',
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'properties', jsonb_build_object(
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'ticket_id', ticket_id, 'normalized_status', normalized_status,
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'cluster', cluster, 'region', region, 'location_name', location_name,
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'assigned_team', assigned_team, 'owner', owner, 'geo_source', geo_source,
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'closed_at', closed_at, 'mttr', mttr, 'sla_status', sla_status),
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'geometry', ST_AsGeoJSON(geom)::jsonb))
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FROM closed_t WHERE geom IS NOT NULL), '[]'::jsonb)
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),
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'metrics', jsonb_build_object(
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'open_now', (SELECT count(*) FROM open_t),
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'closed_in_window', (SELECT count(*) FROM closed_t),
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'sla', jsonb_build_object(
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'open', (SELECT jsonb_build_object(
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'breached', count(*) FILTER (WHERE sla_state = 'breached'),
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'at_risk', count(*) FILTER (WHERE sla_state = 'at_risk'),
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'ok', count(*) FILTER (WHERE sla_state = 'ok'),
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'unknown', count(*) FILTER (WHERE sla_state = 'unknown')) FROM open_t),
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'closed', (SELECT jsonb_build_object(
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'compliant', count(*) FILTER (WHERE sla_status = 'Compliant'),
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'breached', count(*) FILTER (WHERE sla_status = 'Breached')) FROM closed_t)
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),
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'by_status', COALESCE((SELECT jsonb_object_agg(s, c) FROM (
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SELECT COALESCE(normalized_status, '(none)') AS s, count(*) AS c FROM (
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SELECT normalized_status FROM open_t
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UNION ALL SELECT normalized_status FROM closed_t) u GROUP BY 1) z), '{}'::jsonb),
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'by_cluster', COALESCE((SELECT jsonb_object_agg(cl, c) FROM (
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SELECT COALESCE(cluster, '(none)') AS cl, count(*) AS c FROM (
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SELECT cluster FROM open_t
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UNION ALL SELECT cluster FROM closed_t) u GROUP BY 1) z), '{}'::jsonb),
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'closure_rate', jsonb_build_object(
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'per_day_avg', CASE WHEN v_days IS NULL THEN NULL
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ELSE round((SELECT count(*) FROM closed_t)::numeric / v_days, 2) END,
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'series', COALESCE((SELECT jsonb_agg(jsonb_build_object('day', d, 'count', c) ORDER BY d) FROM (
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SELECT (closed_at AT TIME ZONE 'Africa/Nairobi')::date AS d, count(*) AS c
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FROM closed_t GROUP BY 1) z), '[]'::jsonb)
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),
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'avg_mttr_min', (SELECT round(avg(mttr), 1) FROM closed_t WHERE mttr IS NOT NULL)
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),
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'freshness', (SELECT jsonb_object_agg(dataset, jsonb_build_object(
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'export_type', export_type, 'exported_at', exported_at,
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'records_ingested', records_ingested, 'ingested_at', ingested_at))
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FROM tickets.import_meta)
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) INTO v_result;
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RETURN v_result;
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END $fn$;
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COMMENT ON FUNCTION reporting.fn_inc_dashboard(text, text, text, timestamptz, timestamptz) IS
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'FleetOps INC operations dashboard: open (live) + closed (windowed) GeoJSON + '
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'ticket metrics, filtered by cluster/status/time (EAT). fleettickets 09.';
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-- grants (guarded: roles may not exist on a fresh DB)
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DO $grants$
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BEGIN
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IF EXISTS (SELECT 1 FROM pg_roles WHERE rolname = 'dashboard_ro') THEN
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GRANT EXECUTE ON FUNCTION reporting.fn_inc_dashboard(text, text, text, timestamptz, timestamptz) TO dashboard_ro;
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END IF;
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IF EXISTS (SELECT 1 FROM pg_roles WHERE rolname = 'grafana_ro') THEN
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GRANT EXECUTE ON FUNCTION reporting.fn_inc_dashboard(text, text, text, timestamptz, timestamptz) TO grafana_ro;
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END IF;
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END $grants$;
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