- obdcore/transport.py: pluggable byte transports -- SerialTransport,
TcpTransport (WiFi ELM327, stdlib socket), BleTransport (experimental, via
optional 'bleak'; background asyncio loop buffering notifications). ble_scan().
- ElmLink refactored onto a transport with .serial()/.tcp()/.ble() factories
(close/cmd now go through self.io); no behavior change for serial.
- Controller.connect(conn={kind:serial|wifi|ble,...}); GUI connection bar gains
a transport selector (Serial/USB/BT-SPP | WiFi host:port | Bluetooth LE + Scan).
- Classic-Bluetooth needs no new code (pairs as a serial port); WiFi needs no
extra deps; BLE is opt-in (bleak not bundled, so CI binaries keep building).
- tests/test_transport.py: drives ElmLink over a fake ELM TCP server end-to-end
(connect, RPM, readiness, VIN). All suites pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016yT89n4zR4qbrySoSiEyZs
- Diagnostics menu: Vehicle Info (VIN/cal/ECU), Emissions Readiness (I/M
monitors + MIL -> pass/fail), Freeze Frame (snapshot + capturing DTC).
All routed through the scheduler one-off path; dialogs, no docked panels.
- New Trip / Performance view (View menu, center page): live + average MPG,
trip distance/fuel/time, and 0-60 / 1/4-mile timers. The controller keeps
SPEED + MAF polled in the background and feeds TripComputer/PerformanceMeter
every tick, so trips accumulate regardless of the active view. Honest MAF
caveat shown for speed-density/diesel vehicles.
Validated headless against MockLink: VIN dialog, readiness dialog, freeze-frame
dialog, and the live trip page (28.8 mpg / distance accruing). All tests pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016yT89n4zR4qbrySoSiEyZs
The polling thread owns the ELM327, so reading/clearing trouble codes from
the GUI thread would race PID reads and corrupt the stream. Add a one-off
command path that serializes ad-hoc link work onto the polling thread.
obdcore/scheduler.py:
- PollScheduler.run_oneoff(fn, timeout) enqueues a callable (queue.Queue +
threading.Event) and blocks for its result, re-raising the callable's
exception. tick() drains queued one-offs at its very top, so they run on
the same thread that does PID reads -- never concurrently. When the
scheduler thread isn't running, the job is drained inline on the caller
(still serialized vs tick(), safe because nothing else touches the link).
gui/controller.py:
- Controller.read_dtcs() -> {"stored","pending","permanent"} (modes 03/07/0A,
svc 0x43/0x47/0x4A) and clear_dtcs() -> bool. Both route through the
scheduler one-off when a scheduler exists, else call the link directly.
gui/main.py:
- Diagnostics menu (Read Codes / Clear Codes...) and a right-side QDockWidget
listing codes grouped Stored/Pending/Permanent. Each row is code +
description + system from DtcDatabase; no_start codes are flagged bold red.
- Clear is guarded by a confirmation warning (erases codes + freeze frame;
honest "the code comes right back" / permanent-codes-won't-clear tone from
run_clear in obd_reader.py). On confirm: clear, then re-read immediately and
show whatever returned, reporting active faults that came straight back.
tests/test_diagnostics.py:
- one-off returns its value, re-raises exceptions, is drained before a tick's
PID reads, and runs on a live background thread while polling continues.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016yT89n4zR4qbrySoSiEyZs
Vehicle data is now DATA, not code. PIDs/scaling/DTCs/presets live in
profiles/*.json; the app loads them at runtime, so it works across vehicles
and others can contribute profiles (open source).
Core:
- obdcore/formula.py: safe AST evaluator for scaling formulas (A/B/... byte
vars, Torque/FORScan convention). Only arithmetic/bitwise + min/max/abs/
round/int/float; names/attrs/arbitrary calls rejected at load -> a community
profile CANNOT execute code.
- obdcore/profile.py: load/save/list profiles; compiles each formula into a
decode callable. registry.py now profile-backed (PidRegistry/DtcDatabase
take a Profile); hardcoded Ford table removed.
- store.py: clear()/snapshot()/export_csv() for capture management.
Profiles:
- profiles/ford-6.0-powerstroke.json (27 PIDs, verified formulas, DTCs)
- profiles/generic-obd2.json (standard SAE Mode-01 base, any vehicle)
- profiles/README.md (schema + formula language + contributing)
GUI:
- Menu bar: File (new/record/export/replay capture, quit), Profile (switch/
load/import/reload/edit-JSON/export, live profile list), View (Graph/Table
views, gauges P2, toggle PID dock, normalize, light/dark theme), Help
(about/confidence legend/profile info).
- PID browser + presets rebuild on profile switch; added Table view; raw-JSON
profile editor dialog (validates schema+formulas before saving).
Tests: profiles load+compile, formula sandbox rejects hostile input, decoders
still match real truck bytes, crank/derived/dead-PID/replay -- all pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016yT89n4zR4qbrySoSiEyZs
justin