- tickets.closure_events: append-only observed closures (PK ticket_id, closed_at;
observed_at = first sighting; survives row churn).
- tickets.inc_daily_snapshot: one row per EAT day — open backlog (+ SLA split, by
cluster/status) and created/closed flow; upserted each run.
- tickets.capture_history(): appends new closures + upserts today's snapshot.
- import_tickets calls it after each --apply run (ingest or skip); add
--capture-history CLI flag for standalone runs.
Verified: backfilled 21,282 closures; today's snapshot recorded (open_total 30).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
- Add tickets.inc_open_sla: open tickets with derived SLA (hours_open, sla_state
vs 48h; clock = created_at_service or first_seen_at fallback) + team/cluster/geog
for dispatch. (One-time legacy region->lowercase backfill applied to live data.)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
service_type is always 'inc' (cardinality 1) — zero info, redundant in an INC-only
table. Drop the generated column; stays in raw for audit.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
mttr generated column is now integer minutes (source raw.mttr is decimal hours),
analytics-friendly. Drop is_alarm/is_auto_created/is_auto_closed generated columns
— all constant `false` in tickets.inc since alarms are filtered at ingest (still
present in raw for audit; loader still filters on raw->>'is_alarm'). is_actionable
kept.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
geom is geometry(Point,4326) (planar degrees); add geog = geom::geography (STORED
generated) + GiST index so ST_Distance/ST_DWithin/KNN work in real metres for
nearest-vehicle and radius queries.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Feed coords are always empty; redefine the latitude/longitude generated columns to
COALESCE(feed, ST_Y/ST_X(geom)) so they carry the resolved/geocoded position for
every geocoded ticket (precision indicated by geo_source). STORED, recomputes when
geom changes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add STORED generated columns derived from raw (text/numeric/bool/double + EAT
timestamptz via an IMMUTABLE tickets.eat_ts() wrapper). Computed for all existing
rows and auto-populated on every future ingest — raw stays the source of truth,
no loader change. Indexes on status/cluster/team/closed_at/is_actionable for the
SLA/team/closure queries.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Rework import_tickets.py from the retired JSON `latest.json` model to the new
hourly full-snapshot CSV export. Strictly INC (CRQ out of scope).
- Ingest the newest automations/inc/<EAT-timestamp>.csv; skip-if-unchanged by
comparing S3 ETag to tickets.import_meta.metadata.source_etag.
- Upsert on ticket_id (PK; no dups, never delete -> closure history accrues).
No truncate. On success, move processed files to automations/inc/processed/.
- Clean at ingest: drop is_alarm=true + the "EXPORT STOPPED..." sentinel; drop
week_*, source_s3_*/source_snapshot_id, department/source_type; lowercase
region, uppercase raw_status; keep service_type + bucket.
- Force path-style S3 addressing; --inc-csv for local dev; --from-bucket for cron.
- Add migrations/02 (import_meta + freshness); refresh README/.env.example/docs.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
