fleettickets/docs/implementation.md

# Implementation record — fleettickets (as built)

What is actually built and deployed, as of the Phase-1 completion. Companion to
`docs/phase-1-ingestion.md` (plan) and `docs/phase-2-dashboard.md` (next).

## Pipeline (`import_tickets.py`)

- **Source:** newest `automations/inc/<EAT-timestamp>.csv` in the rustfs `tickets`
  bucket (endpoint `https://s3.rahamafresh.com`, path-style, region `us-east-1`).
- **S3 access via boto3** (no aws-CLI dependency): `list_objects_v2` (paginator),
  `get_object`, `copy_object` + `delete_object` for archiving.
- **Skip-if-unchanged:** newest S3 **ETag** vs `tickets.import_meta.metadata.source_etag`;
  equal → skip the DB write (the export re-emits identical content most hours).
- **Cleaning:** drop `is_alarm=true` rows + the `EXPORT STOPPED…` sentinel; drop
  `week_start`/`week_end`, `source_s3_bucket`/`source_s3_key`/`source_snapshot_id`,
  `department`, `source_type`; normalize `region`→lowercase, `raw_status`→UPPERCASE.
- **Upsert** on `ticket_id` (`ON CONFLICT DO UPDATE`); never delete. On success,
  **move** processed file(s) → `automations/inc/processed/`.
- **Geocoding** (keyed LocationIQ): `--geocode-clusters` (coarse, per cluster) and
  `--geocode-locations` (precise, actionable INC; strips network codes; 25 km
  wrong-city guard). Results cache in `tickets.geo_clusters` / `tickets.geo_locations`.
- CLI: `--from-bucket` (newest INC csv), `--inc-csv <file>` (local dev), `--apply`
  (else dry-run), `--geocode-clusters`, `--geocode-locations`.

## Schema / migrations (`tracksolid_db`, applied via `run_migrations.py`)

| Migration | What |
|---|---|
| 01_tickets_schema | `tickets.inc`/`crq` (raw-jsonb-first), `geo_clusters`/`geo_locations` gazetteers, geom-resolution trigger, `reporting.fn_tickets_for_map` |
| 02_import_meta | `tickets.import_meta` (snapshot freshness) + `fn_tickets_for_map` `summary.freshness` |
| 03_inc_columns | Unpack `raw` → typed STORED generated columns (text/numeric/bool + EAT→timestamptz via `tickets.eat_ts()`) |
| 04_inc_latlng | `latitude`/`longitude` = `COALESCE(feed, ST_Y/ST_X(geom))` (populated from geocode) |
| 05_inc_geography | `geog geography(Point,4326)` (= `geom::geography`) + GiST index for routing |
| 06_inc_mttr_minutes | `mttr` → integer **minutes**; drop constant `is_alarm`/`is_auto_created`/`is_auto_closed` |
| 07_inc_drop_service_type | drop constant `service_type` |
| 08_inc_open_sla_view | `tickets.inc_open_sla` view (open tickets + derived SLA) |
| 09_inc_dashboard_fn | **built** — `reporting.fn_inc_dashboard(cluster, status, window, from, to)`: one JSON payload (open GeoJSON + windowed closed GeoJSON + metrics + freshness) for the FleetOps live INC map. See `docs/phase-2-dashboard.md` |

`tickets.inc` columns: `ticket_id` (PK), `raw` (jsonb, source of truth),
`normalized_status`/`raw_status`, `bucket`, `is_actionable`, `cluster`/`region`/
`location_name`, `assigned_team`/`owner`, `sla_status`, `mttr` (min),
`created_at_service`/`scheduled_at`/`closed_at`/`first_seen_at`/`last_seen_at`/
`source_created_at`/`source_updated_at` (timestamptz), `latitude`/`longitude`,
`geom`/`geog`/`geo_source`, `ingested_at`. Dropped-but-in-`raw`: `service_type`,
`is_alarm`, `is_auto_created`, `is_auto_closed`, and the ingest-time drops.

## Deployment

- **Coolify** app built from this repo's `Dockerfile` (`python:3.12-slim`,
  `TZ=Africa/Nairobi`, keep-alive `tail -f /dev/null`). Separate from the FleetOps
  web app (`fleet-ops-staging`).
- **Scheduled Task:** `python import_tickets.py --from-bucket --apply`, cron
  `15 7-19 * * *` in **EAT** (Coolify runs tasks in EAT — no UTC conversion).
- **Env vars** (Coolify): `DATABASE_URL` (internal DB host), `RUSTFS_*`, `GEOCODER_*`.
- For a plain host/VM, `run_ingest.sh` + a crontab line is the alternative.

## State at hand-off

- `tickets.inc` ≈ 21,312 rows (current non-alarm INC + a few aged-out history rows);
  **0 alarm / 0 sentinel** (legacy rows cleaned up one-time).
- Geocoding ~**99.99%** (`geom` on all but 1 null-cluster ticket); `QOA`/`PTMP`
  cluster codes mapped to Quarry Road / Pipeline.
- Read path verified: `reporting.fn_tickets_for_map()` + `tickets.inc_open_sla`.

## Data-quality caveats (must inform analytics)

- Source `sla_status` only meaningful once **closed**; open SLA must be **derived**
  (`now − created_at_service`, `first_seen_at` fallback; ~30% lack
  `created_at_service`).
- `mttr` is **minutes**, null until closed; not wall-clock and not a 48h threshold.
- Lifecycle timestamps = `created_at_service`→`closed_at`; the `*_seen_at` / `source_*`
  ones are export bookkeeping (don't use for SLA/closure-time).
- Content lag ~2 days behind wall-clock.
- **History gap:** `tickets.inc` is current-state (upsert). Closure/creation/MTTR
  *event* series work directly; **open-backlog-over-time** needs an append-only
  history capture (not yet built).

## Roadmap

Phase 2: `fn_inc_dashboard` read-API → FleetOps live map (open + closed overlay +
metrics). Then FleetNow **dispatch** off `geog`, **team closure attribution**, and
**history capture** for backlog trends. **CRQ** = separate future project reusing
this machinery against `automations/crq/`.