tajniak81andClaude Opus 5
90558d60b2
The broker transport could move a session along — start, stop, boost, skip the delay, cap the current — and nothing else. Everything the charger is actually configured with sat one field away in the same messages we were already decoding: the schedule it charges on, the plug lock, auto-start, the LED, load balancing, solar charging, and the Modbus server the local transport depends on. Readable, and unreachable. The obstacle was never the cloud, it was the shape of the protocol. A setting is not a register write. It is a *command*, and a command owns a set of fields inside a message type — mostly one, but five own several, and the charger reads the whole command as the new truth. A light-off schedule sent carrying only its switch is a schedule whose start and end have just been set to midnight. So a grouped write resends the siblings the caller did not name, using the values the charger itself last reported, and refuses when it has never reported them. That last part is not caution for its own sake: load balancing and solar charging carry the serial of the meter they watch, and nothing outside the charger knows it. An empty one would be adopted. Those values do not arrive with the telemetry, either. The fast 0410 stream a realtime trigger turns on carries none of them — the settings come on 0405, 0840 and 0900, which the charger sends when it has something to acknowledge. So a grouped write may have to send a trigger first purely to make the charger talk about itself, and says so plainly when even that produces nothing. Everything a caller supplies is encoded before the cloud is touched at all. A request naming one bad value changes nothing rather than half of what it asked for, and a mistyped setting costs a validation error instead of a sign-in, a certificate fetch and a broker connection to be told no. mqttsettings.go holds one table and it is the only place a setting is defined: the wire field, the name a caller uses, the state key its current value comes from, and how a value becomes bytes. The names are the snapshot's own, so a caller can read a status, change one entry and send it back. The existing limit command now builds its frame from that table too rather than encoding field a8 a second time. Reading grew to match. The frame decoder gains the fields the grouped writes must carry back — the two load-balance settings, both monitor serials, the solar monitoring mode — plus the swipe gestures, and the snapshot exposes the rest of what is now writable. One name was wrong and is corrected: field d9 was called chargingMode after the Modbus register at 20088, but the reference has it as the solar charging mode, so it becomes solarChargeMode and moves in beside the solar settings. A mislabelled reading is bad; a mislabelled writable field is worse. Over HTTP it is one action rather than a dozen, because the charger groups the fields anyway: POST .../settings with a settings object, and settings sharing a command travel in one frame instead of overwriting each other. The other two transports refuse it by name and say which one has it, the way they already refuse each other's commands. The audit trail records the values, not just that a write happened — a setting that changes what the charger will draw, or whether it answers on the LAN at all, is worth being able to trace afterwards. Two things worth saying plainly. This is built from the reference project's message maps and checked against its own frame layout, not against hardware — there is no charger on this end to point it at. And modbusEnabled is a loaded gun: writing it off stops the charger serving the register map, and the way back is this transport, or the app. The ignore rule for the local Modbus map artifact widens to the protocol maps that now sit beside it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
DriverVault
A car control & service-tracking system (originally "Car Control Project").
Built incrementally — starting with a car maintenance tracker (modeled on
Car Service.xlsx) and growing toward live integration with the car via a
cellular ESP32 device and third-party services (Toyota Connected, EV chargers).
Architecture
All clients communicate with the database only through the API Server — nothing talks to PocketBase directly.
┌──────────────────┐
Web App (Vue) ─────▶│ │
Phone App (Flutter)▶│ API Server │────▶ PocketBase
Home Assistant ────▶│ (Go, stdlib) │ (10.2.1.10:8027)
Car Agent (ESP32) ─▶│ │
└──────────────────┘
| Component | Stack | Status | Docs |
|---|---|---|---|
| API Server | Go (stdlib) | ✅ built, running, verified | API Server/README.md |
| Database | PocketBase | ✅ running, schema + seed done | — |
| Web App | Vue 3 + Vite + Tailwind v4 | ✅ full feature set (below) | Web App/README.md |
| Phone App | Flutter (Android) | ✅ web parity + biometric login | Phone App/README.md |
| Docker | Compose (multi-container / all-in-one) | ✅ deployment configs | Docker/README.md · Docker-AIO/README.md |
| Car Agent Device | ESP32 + SIM7600 (LILYGO TTGO) | 🚧 firmware in progress | Car Agent Device |
| Home Assistant Plugin | — | ⬜ later | — |
The Web and Phone apps are at feature parity.
Features
- Maintenance tracking — cars, service history (date/odometer + which parts were changed), and a per-car parts catalog, with next-due date/km status from the spreadsheet formulas.
- Technical checks — the mandatory roadworthiness inspections (przegląd techniczny / MOT / TÜV): result, cost, station and the certificate's valid-until, which overrides the car's interval and drives the next-due date.
- Maintenance log — workshop visits and repairs outside the routine schedule: type/status, workshop, parts used, labour + parts cost, invoice, warranty-until.
- Fuel tracking — refills with derived efficiency (average / best / worst consumption, cost per km, price per litre). Consumption is measured between full tanks, so partial fills roll into the next full one.
- Documents — insurance, registration, road tax and the rest, each with a server-computed renewal/expiry state.
- Reminders — date- and/or odometer-triggered, one-off or recurring, plus read-only reminders the server derives from documents and service records.
- Attachments — one optional file (PDF or image) per service record, technical check, maintenance entry, refill, document and part; fetched back through the API Server, never a public URL.
- Accounts — PocketBase-token login, profile + appearance preferences (theme/locale/date format/currency/font), avatar, email verification, data export/import, and an account-deletion state machine.
- Organizations & roles — multi-tenant
user/admin/superadminroles; admins manage users within their own organization, superadmins span all. Any user without an organization can create one and becomes its admin. - Per-user ownership & sharing — each car has an owner and can be shared with other users as read or write; the UI mirrors the server's access checks.
- Integrations — per-user connectors under a superadmin → org-admin → user cascade. Built-in today: Toyota Connected (read-only vehicle data), the Anker Solix V1 EV charger and the Greencell HabuDen wallbox (read over the owner's own MQTT broker — no Greencell cloud is involved). Apprise joins them as a server-wide connector rather than a per-user one: it hands a message to an Apprise gateway the operator runs, which fans it out to any of the 100+ services Apprise speaks.
- Cars from the manufacturer's own service — import a car straight off a connected account (MyToyota today), choosing what to pull in, and read everything that service knows about it from a dedicated first tab on the car. Generic over providers: the next manufacturer is one adapter in the API Server.
- EV charging control — for Anker Solix chargers the owner can start, stop and limit charging from the Charging screen over whichever of three transports their control mode picks: Anker's own cloud (commands ride the connection the charger already holds to Anker, so nothing has to be reachable — the mode for a charger on a customer's network), Modbus TCP on the local network, or an OCPP 1.6J Central System the charger dials back into.
- Translated UI — the interface reads its text from per-language files (English, Polish, Danish today), with English as the fallback for any untranslated string. See TRANSLATIONS.md.
- Phone biometric login & app lock — fingerprint / face sign-in with an app-lock that requires an unlock on relaunch. See the Phone App README.
Auth model
All apps share one auth model: authentication is PocketBase's own.
POST /api/auth/login is proxied to the PocketBase users collection and the
client keeps the token PocketBase minted — the API Server does not issue its
own JWT. Every protected request carries Authorization: <token> (both
Bearer <token> and a raw token are accepted) and the server re-resolves it
against PocketBase on each call, so a role change or a deletion takes effect
immediately. Tokens are stateless, so there is no per-device session list;
changing an account's password rotates its token key and invalidates every token
already issued. Access to cars/records is gated by per-user ownership and shares;
user management requires the admin or superadmin role. Creating an organization
is the one management action open to a plain user — it promotes them to admin of
the organization they just created.
Domain (from Car Service.xlsx)
- Cars — one per vehicle (was: one spreadsheet sheet), with spec fields (engine / transmission / differential oil, brake fluid, coolant, VIN, fuel type, build / first-registration dates, …) and configurable service intervals.
- Service records — date + odometer per service, plus which parts were changed (oil & oil filter, engine air filter, cabin air filter).
- Parts — per-car catalog of part numbers.
Key spreadsheet formulas, reproduced by the API Server on read:
Next Service Date = service date + serviceIntervalDays (default 365; Excel: =A+365)
Next Service Km = service km + serviceIntervalKm (default 15 000; Excel: =B+15000)
Intervals are configurable per car.
Getting started
Bring up the stack in this order — each app's README has the details:
- API Server — configure
.env, runsetup-pocketbase.mjs, start the server. This must be running for either app. - Web App —
npm install && npm run dev(proxies/apito the server). - Phone App —
flutter build apk/flutter runwith--dart-define=API_BASE=http://<server-ip>:8080/api.
Or skip all of that and bring the whole stack up with Docker, which runs the schema setup itself — see Docker (PocketBase + API Server + Web App as three containers) or Docker-AIO (all three in a single image).
Layout
DriverVault/
├── API Server/ # Go gateway to PocketBase (the only DB client)
├── Web App/ # Vue 3 + Vite + Tailwind v4 SPA + Go BFF
├── Phone App/ # Flutter (Android)
├── Car Agent Device/ # ESP32 + SIM7600 firmware (LILYGO TTGO T-SIM7600)
├── Home Assistant Plugin/ # later phase
├── Docker/ # Compose deployment (API Server + Web App)
└── Docker-AIO/ # single all-in-one image