# Vehicle data project

## What this project is
A new local-first project to move Michael's vehicle / fuel tracking data away from a flaky sectioned CSV export and into a queryable SQLite database.

Project location:
- `projects/vehicle-data`

## Seed data imported
Source export:
- `vehicle-3-sync.csv`

Imported into:
- `vehicle_data.db`

First-pass imported counts:
- 1 vehicle
- 196 fuel log entries
- 9 favourite stations
- 2 categories
- 1 trip log

Vehicle imported:
- Toyota LandCruiser (`LandCruiser`, description `Nana's car`)

## Why this exists
The CSV export is fine as a backup/import format but not ideal as a living datastore for:
- multiple vehicles
- assistant-added entries
- efficient querying
- graphs and summaries
- station/location enrichment

SQLite is the intended working source of truth going forward.

## Agreed future mobile entry shape
Keep phone capture dead simple.

Required basics:
- odo
- fuel
- cost
- full / not full
- location

This is the intended assistant-assisted workflow for logging future fills from Telegram.

## Location handling decision
Telegram location shares are usable.
They can provide:
- raw latitude / longitude
- reverse lookup context
- nearby station candidates
- human-friendly place labels

Best future entry quality will come from:
- fuel details + station name + Telegram location

But location share alone is still useful enough to support the workflow.

## Current project status
Created:
- `projects/vehicle-data/vehicle_data.db`
- `projects/vehicle-data/import_vehicle_csv.py`
- `projects/vehicle-data/PROJECT-STATUS.md`

The project is still in pre-skill/prototype mode.
No dedicated skill has been created yet.

## Current aim
Short term:
- add assistant/manual append capability for new fuel entries
- prove the Telegram-driven entry workflow
- refine provenance/source fields and place naming

Medium term:
- formalise into a reusable workspace skill, likely `vehicle-data`

## Notes to remember
- Treat CSV as import/export only.
- Treat SQLite as the living datastore.
- Keep manual entry format minimal and phone-friendly.
- Add skill packaging only after the next few workflow tweaks are proven.