Live-DB reconciliation before seeding CRQ revealed two divergences:
- tickets.crq did NOT exist: 01_tickets_schema.sql was applied 2026-06-15 from a
version predating its crq section, so the IF-NOT-EXISTS ledger guard has blocked
it ever since (fn_tickets_for_map + resolve_ticket_geoms already reference crq, so
they errored if called — masked because the live INC view uses fn_inc_dashboard).
- The live ledger carries un-versioned 13_inc_search_fn.sql / 14_inc_filter_options.sql
(applied 2026-06-19, absent from this repo).
So 13_crq_columns.sql (ALTER-only, number 13) is replaced by 15_crq_table.sql, which
CREATEs tickets.crq self-containedly (table + geom trigger + raw/typed indexes) and
adds the typed STORED generated columns. Deterministic + idempotent on both the live DB
(crq missing) and a fresh DB (crq minimal from 01). Numbered 15 to sit after the live
ledger's max. Docs/CLI references updated 13->15.
Applied + seeded on the live DB out-of-band (running container, INC image untouched):
39,240 crq rows, 99.99% geocoded (cluster + shared location cache), watermark current,
crq now renders on fn_tickets_for_map.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Split the INC-only loader into a dataset-agnostic engine (pipeline.py, renamed
from import_tickets.py) parameterized by a Dataset config, with thin per-type
entrypoints inc/import_inc.py and crq/import_crq.py. CRQ shares INC's identical
32-column source schema and CDC change stream, so the engine is fully shared.
- pipeline.py: Dataset config (name/table/prefixes/key_regex/post_apply); INC
keeps the capture_history post-apply hook, CRQ has none yet. geocode_locations
now unions tickets.crq (geocoding is cross-dataset: one gazetteer/budget).
- crq/import_crq.py: drains automations/crq/changes/ from isptickets into
tickets.crq (data layer + map; SLA/dashboard/history deferred).
- migrations/13_crq_columns.sql: CRQ mirror of 03 — typed STORED generated
columns + indexes on tickets.crq (reuses tickets.eat_ts()).
- Deployment: Dockerfile/run_ingest.sh run both via `python -m`; pyproject
packages inc/crq. Docs (README, implementation, deployment-and-operations,
n8n export ref, phase-1) updated for the split + the one-time CRQ seed runbook.
tickets.crq already exists (mig 01, LIKE tickets.inc) and is unioned into
reporting.fn_tickets_for_map + resolve_ticket_geoms, so CRQ appears on the
existing Tickets map once seeded. Verified locally: ruff-clean new files, engine
lists/parses both streams against live S3 (crq=52 files, inc unaffected).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Capture the operational knowledge from the isptickets cutover: Coolify app/container,
env management (encrypted — UI or artisan tinker), cron, the Forgejo->Coolify auto-deploy
webhook (config + recreate/verify; it was missing), manual deploy trigger, the
source-bucket cutover procedure, and verification queries. Link it from README; refresh
stale tickets-bucket/ETag references in implementation.md to the isptickets CDC model.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Was hourly at :15 (15 7-19 * * *); now */20 6-20 * * * for fresher ticket
data through the working day. Updates the documented schedule in the Coolify
Scheduled Task command, run_ingest.sh, Dockerfile, README, and implementation
notes (the live schedule is set in the Coolify UI).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- 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>
