df054c92be
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>
86 lines
4.6 KiB
Markdown
86 lines
4.6 KiB
Markdown
# fleettickets
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Field-ops **INC ticket** ingestion, geocoding, and read-schema that powers the
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**Tickets** map in FleetOps. Extracted from the `tracksolid` repo into its own module
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(it previously lived there as migrations 21–23 + `tools/import_tickets.py`).
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- **INC** — incident / customer-fault tickets *(this pipeline is **strictly INC**)*
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- **CRQ** — new-installation requests *(schema kept, but **out of scope** — not ingested here)*
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## What this owns
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| Piece | What |
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|---|---|
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| `migrations/01_tickets_schema.sql` | The `tickets` schema: `tickets.inc` / `tickets.crq` (raw-jsonb-first), `tickets.geo_clusters` + `tickets.geo_locations` gazetteers, geom-resolution trigger, and `reporting.fn_tickets_for_map` (the GeoJSON read function) |
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| `migrations/02_import_meta.sql` | `tickets.import_meta` (per-dataset snapshot envelope metadata) + `fn_tickets_for_map` re-defined to expose it as `summary.freshness` (same signature — dashboard_api unchanged) |
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| `import_tickets.py` | Ingests the **newest INC CSV** from the rustfs `tickets` bucket (`automations/inc/<EAT-timestamp>.csv`) and upserts on `ticket_id`; geocodes clusters + INC locations |
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| `run_migrations.py` | Applies `migrations/*.sql` in order (ledger: `tickets.schema_migrations`) |
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| `shared.py` | Minimal DB/logging helpers (self-contained — no tracksolid dependency) |
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## What this does NOT own (stays where it is)
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- **The DB** — the `tickets` schema lives in the shared `tracksolid_db`.
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- **The read-API** — `dashboard_api` (in the tracksolid stack) serves
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`GET /webhook/tickets`, which calls `reporting.fn_tickets_for_map` (defined here).
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- **The frontend** — the Tickets map is a tab in the **FleetOps** SPA (`fleetops` repo).
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## Data model (raw-first)
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Each row is just `ticket_id` + `raw` (the full source record as `jsonb`) + a derived
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`geom` / `geo_source`. Everything reads from `raw`, so a change to the source schema
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needs no migration. `geom` is resolved: **feed** coords (`raw` lat/lng) → **location**
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(geocoded `location_name`) → **cluster** centroid → **none**.
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Source coordinates are empty in the feed, so geocoding is required:
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- `--geocode-clusters` — one coordinate per cluster (coarse fallback).
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- `--geocode-locations` — precise per-location for **actionable INC** tickets: strips the
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network codes from `location_name` (e.g. `NW_`, `ADR_MNT_`, `FDT<n>`, `SDUS`), geocodes
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the real place via a **keyed** provider (LocationIQ / OpenCage), and **rejects any result
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>25 km from the cluster centroid** (wrong-city guard). Results cache in
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`tickets.geo_locations`.
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## Setup
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```bash
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uv sync
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cp .env.example .env # fill in DATABASE_URL, RUSTFS_*, GEOCODER_*
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python run_migrations.py # apply the schema (idempotent)
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```
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## Run
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```bash
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# ingest the newest INC CSV from the bucket (skip-if-unchanged, then archive)
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python import_tickets.py --from-bucket --apply
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# geocode (needs GEOCODER_API_KEY)
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python import_tickets.py --geocode-clusters --apply # coarse, once
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python import_tickets.py --geocode-locations --apply # precise, actionable INC
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# from a local CSV instead of the bucket (dev)
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python import_tickets.py --inc-csv 2026-06-15T17-00-00.csv --apply
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```
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Dry-run is the default (omit `--apply`). `import_tickets.py --from-bucket` shells out to
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the `aws` CLI using the `RUSTFS_*` env (no boto3 dependency). Hourly on the instance via
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cron `5 * * * *` (a few minutes after each export).
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## Notes
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- The n8n export writes a **full current-state CSV per hour** to
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`automations/inc/<EAT-timestamp>.csv` — no `latest` pointer, no metadata envelope, no
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deltas. The loader lists the prefix, takes the **newest** file, and ingests it.
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- **Skip-if-unchanged:** the newest file's S3 **ETag** is compared to the last processed
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file's ETag (stored in `tickets.import_meta.metadata.source_etag`); if equal, the DB write
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is skipped (the export re-emits byte-identical content most hours).
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- **Upsert on `ticket_id`** (PRIMARY KEY) — duplication is impossible; rows are never
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deleted, so closed-ticket history accumulates. On success the file is **moved** to
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`automations/inc/processed/`.
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- **Cleaning at ingest:** drop `is_alarm=true` rows + the `EXPORT STOPPED…` sentinel; drop
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`week_start`/`week_end`, `source_s3_*`/`source_snapshot_id`, `department`/`source_type`;
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normalize `region` → lowercase and `raw_status` → UPPERCASE. `service_type` and `bucket`
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(a `closed`/`pending` flag) are kept.
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- `tickets.import_meta` captures snapshot freshness (surfaced as `summary.freshness` by
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`fn_tickets_for_map`).
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- The curated/geocoded coordinates are written `verified = false` — review
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`tickets.geo_clusters` / `tickets.geo_locations` and flip `verified` once checked.
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