752ac9e418
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>
83 lines
5.1 KiB
Markdown
83 lines
5.1 KiB
Markdown
# Implementation record — fleettickets (as built)
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What is actually built and deployed, as of the Phase-1 completion. Companion to
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`docs/phase-1-ingestion.md` (plan) and `docs/phase-2-dashboard.md` (next).
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## Pipeline (`import_tickets.py`)
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- **Source:** newest `automations/inc/<EAT-timestamp>.csv` in the rustfs `tickets`
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bucket (endpoint `https://s3.rahamafresh.com`, path-style, region `us-east-1`).
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- **S3 access via boto3** (no aws-CLI dependency): `list_objects_v2` (paginator),
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`get_object`, `copy_object` + `delete_object` for archiving.
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- **Skip-if-unchanged:** newest S3 **ETag** vs `tickets.import_meta.metadata.source_etag`;
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equal → skip the DB write (the export re-emits identical content most hours).
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- **Cleaning:** drop `is_alarm=true` rows + the `EXPORT STOPPED…` sentinel; drop
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`week_start`/`week_end`, `source_s3_bucket`/`source_s3_key`/`source_snapshot_id`,
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`department`, `source_type`; normalize `region`→lowercase, `raw_status`→UPPERCASE.
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- **Upsert** on `ticket_id` (`ON CONFLICT DO UPDATE`); never delete. On success,
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**move** processed file(s) → `automations/inc/processed/`.
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- **Geocoding** (keyed LocationIQ): `--geocode-clusters` (coarse, per cluster) and
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`--geocode-locations` (precise, actionable INC; strips network codes; 25 km
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wrong-city guard). Results cache in `tickets.geo_clusters` / `tickets.geo_locations`.
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- CLI: `--from-bucket` (newest INC csv), `--inc-csv <file>` (local dev), `--apply`
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(else dry-run), `--geocode-clusters`, `--geocode-locations`.
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## Schema / migrations (`tracksolid_db`, applied via `run_migrations.py`)
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| Migration | What |
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|---|---|
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| 01_tickets_schema | `tickets.inc`/`crq` (raw-jsonb-first), `geo_clusters`/`geo_locations` gazetteers, geom-resolution trigger, `reporting.fn_tickets_for_map` |
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| 02_import_meta | `tickets.import_meta` (snapshot freshness) + `fn_tickets_for_map` `summary.freshness` |
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| 03_inc_columns | Unpack `raw` → typed STORED generated columns (text/numeric/bool + EAT→timestamptz via `tickets.eat_ts()`) |
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| 04_inc_latlng | `latitude`/`longitude` = `COALESCE(feed, ST_Y/ST_X(geom))` (populated from geocode) |
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| 05_inc_geography | `geog geography(Point,4326)` (= `geom::geography`) + GiST index for routing |
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| 06_inc_mttr_minutes | `mttr` → integer **minutes**; drop constant `is_alarm`/`is_auto_created`/`is_auto_closed` |
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| 07_inc_drop_service_type | drop constant `service_type` |
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| 08_inc_open_sla_view | `tickets.inc_open_sla` view (open tickets + derived SLA) |
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| 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` |
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`tickets.inc` columns: `ticket_id` (PK), `raw` (jsonb, source of truth),
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`normalized_status`/`raw_status`, `bucket`, `is_actionable`, `cluster`/`region`/
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`location_name`, `assigned_team`/`owner`, `sla_status`, `mttr` (min),
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`created_at_service`/`scheduled_at`/`closed_at`/`first_seen_at`/`last_seen_at`/
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`source_created_at`/`source_updated_at` (timestamptz), `latitude`/`longitude`,
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`geom`/`geog`/`geo_source`, `ingested_at`. Dropped-but-in-`raw`: `service_type`,
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`is_alarm`, `is_auto_created`, `is_auto_closed`, and the ingest-time drops.
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## Deployment
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- **Coolify** app built from this repo's `Dockerfile` (`python:3.12-slim`,
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`TZ=Africa/Nairobi`, keep-alive `tail -f /dev/null`). Separate from the FleetOps
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web app (`fleet-ops-staging`).
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- **Scheduled Task:** `python import_tickets.py --from-bucket --apply`, cron
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`15 7-19 * * *` in **EAT** (Coolify runs tasks in EAT — no UTC conversion).
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- **Env vars** (Coolify): `DATABASE_URL` (internal DB host), `RUSTFS_*`, `GEOCODER_*`.
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- For a plain host/VM, `run_ingest.sh` + a crontab line is the alternative.
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## State at hand-off
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- `tickets.inc` ≈ 21,312 rows (current non-alarm INC + a few aged-out history rows);
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**0 alarm / 0 sentinel** (legacy rows cleaned up one-time).
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- Geocoding ~**99.99%** (`geom` on all but 1 null-cluster ticket); `QOA`/`PTMP`
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cluster codes mapped to Quarry Road / Pipeline.
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- Read path verified: `reporting.fn_tickets_for_map()` + `tickets.inc_open_sla`.
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## Data-quality caveats (must inform analytics)
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- Source `sla_status` only meaningful once **closed**; open SLA must be **derived**
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(`now − created_at_service`, `first_seen_at` fallback; ~30% lack
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`created_at_service`).
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- `mttr` is **minutes**, null until closed; not wall-clock and not a 48h threshold.
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- Lifecycle timestamps = `created_at_service`→`closed_at`; the `*_seen_at` / `source_*`
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ones are export bookkeeping (don't use for SLA/closure-time).
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- Content lag ~2 days behind wall-clock.
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- **History gap:** `tickets.inc` is current-state (upsert). Closure/creation/MTTR
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*event* series work directly; **open-backlog-over-time** needs an append-only
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history capture (not yet built).
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## Roadmap
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Phase 2: `fn_inc_dashboard` read-API → FleetOps live map (open + closed overlay +
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metrics). Then FleetNow **dispatch** off `geog`, **team closure attribution**, and
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**history capture** for backlog trends. **CRQ** = separate future project reusing
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this machinery against `automations/crq/`.
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