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BikeControl/README.md
T
dtourolleandClaude Opus 5 7b511db3dc Ride the drivetrain, command the load in watts
Speed now comes from the drivetrain and the load from the road, which is
the way round a bike actually works.

Speed is cadence x development, filtered lightly. Power, not cadence,
decides whether the rider is driving it: on a direct-drive trainer the
flywheel keeps the cranks turning after they stop, so cadence alone reads
a healthy 80 rpm for someone doing nothing. Below 15 W the speed runs
down to whatever the gradient sustains on no power - zero uphill, a real
freewheeling speed on a descent. Stopping on a 3.5% climb used to settle
at 22 km/h and stay there, because the model wanted to decelerate and a
blend toward the flywheel speed outvoted it; that blend is gone.

The D100 sends no cadence over FTMS - it is a rebadged Magene T110 with
cadence disabled in firmware (qdomyos-zwift#3282) - so it is inferred
from wheel speed, which one sprocket and no freewheel make exact. Its
Zwift channel does carry cadence, and is now greeted with RideOn and
subscribed on every notifying characteristic, so a measured value is used
where one arrives.

The load is commanded as power, not gradient. The trainer declares
50-600 W in 1 W steps against 0-6% inclination in 0.1% steps refusing
negatives, and whether it acts on 0x11 at all is still unconfirmed. Its
power target is a ceiling rather than a setpoint, which is very nearly
what a road is: exceed it and the surplus becomes speed. Gravity travels
on the same channel as watts, so nothing is lost by leaving 0x11 alone.
LoadChannel keeps the gradient path selectable and tested.

Virtual shifting reaches the trainer for the first time. The physics
load model was written but never called, and a paddle press both shifted
a gear in Rust and nudged the gradient in the webview - the shift
silently, the tilt visibly, so the paddles looked like a gradient trim.

Also: a fixed 12 W drivetrain loss, held as a power because that is how
it presents; crank length, so a gear can be reported as the force it puts
under the foot; gear and pedal force on the ride screen; a drag-race
profile for testing gearing on the flat.

Two readout bugs fixed on the way. The rolling windows were trimmed by
timestamp but fed on a fixed timer, so every second spent on the ride
screen before starting pushed samples at t=0 that could never expire -
speed read a fraction of the truth for the first 45 s. And the headline
speed was a 45 s mean, which took most of a minute to show a gear change.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-05 18:21:08 +02:00

8.9 KiB
Raw Blame History

BikeControl

Ride a Van Rysel D100 smart trainer without Zwift. Load a GPX route or a synthetic waveform profile, and the app drives the trainer's resistance to match — recording power, speed and distance as you go.

See REQUIREMENTS.md for the full specification.


Status

Component State
crates/core — physics, profiles, GPX import, ride engine Implemented, 103 tests
crates/ble — FTMS client for the D100, Zwift Click protocol Implemented, 108 tests. FTMS and the Click are both wired into the app
crates/fit — FIT activity encoder Implemented, 106 tests. Not yet wired into the app
crates/probe — hardware discovery CLI Works against the real trainer
src-tauri + ui — desktop app Rides the real trainer: scan → connect → control → telemetry

The app drives the hardware end to end: it scans over BlueZ, connects, acquires FTMS control, feeds Indoor Bike Data into the ride engine, and writes control targets back at 4 Hz. Recording to FIT is the remaining gap.

There is no synthetic rider and no ride-without-a-trainer mode. The ride screen is gated on an FTMS trainer that has accepted the control point, and with no trainer attached the ride reads zero — a session that could be finished without any of it having happened is worse than no session at all.


Prerequisites

  • Rust (built with 1.92) and cargo-tauri: cargo install tauri-cli --version '^2'
  • Node 20+ and npm
  • Linux: webkit2gtk-4.1, libsoup-3.0, and a running Bluetooth stack (BlueZ)

Running the app

Embeds the frontend, so there is no dev server and nothing to go wrong:

cd src-tauri
cargo tauri build --debug --no-bundle
cd ..
./target/debug/bikecontrol-app

Development mode (hot reload)

cd ui && npm install     # required once — skipping this is what causes a black window
cd ../src-tauri
cargo tauri dev

If the window is black and says "Could not connect to localhost: Connection refused", the Vite dev server is not running. Either npm install was never run in ui/, or something killed the server. Use the standalone binary above, which has no dev server at all.

Keyboard

Key Action
/ Gradient up/down (Shift for coarse steps)
0 Reset gradient trim to zero
Space Pause / resume
M Cycle control mode
L Mark lap
P Profile picker
[ / ] Adjust target power or resistance
? Help overlay

Every shortcut is mirrored by an on-screen control.

Zwift Click

Connect from the device screen — press a button on the pod first, since a Click only advertises while awake. Each button routes to the same intent as the equivalent key, so the two can never drift apart:

Button Action
+ / Shift a gear: ±10 W in ERG, one level in resistance mode, else gradient ±0.5%
D-pad / Gradient +0.5% / 0.5%
D-pad / Device screen / ride screen
A Pause / resume
B Insert lap marker
Y Cycle control mode
Z Profiles and routes

Shifting is emulated app-side. The D100 exposes no virtual-shifting command surface — its Zwift service only streams telemetry (REQUIREMENTS.md §2.3.2) — so a "gear" is a step in whatever target the active control mode drives. The keyboard remains the fallback if a pod's battery dies mid-ride.


Talking to the trainer

The probe CLI is for hardware discovery and diagnosis — it speaks to the trainer directly, independently of the app.

cargo build -p bikecontrol-probe

./target/debug/probe scan                        # find fitness machines
./target/debug/probe scan --all --secs 20        # every peripheral
./target/debug/probe inspect --name VANRYSEL     # services, characteristics, capabilities
./target/debug/probe monitor --name VANRYSEL     # live telemetry: raw hex + decoded
./target/debug/probe set --name VANRYSEL sim=4.0 # apply a target, then auto-reset
./target/debug/probe zwift <ADDR>                # Zwift Click: handshake, then log frames

set accepts gradient=<pct>, sim=<pct>, resistance=<level> or power=<watts>, and always finishes by zeroing the gradient, dropping resistance to minimum and issuing Reset + Stop — including on Ctrl-C.

The trainer only advertises once awake. Spin the cranks for a few seconds first, or scans will find nothing.

What this trainer reports

Confirmed against the hardware:

VANRYSEL-HT-2876   DECATHLON, model 355194, firmware 0.108
  Fitness Machine Service (0x1826)
  Zwift custom service     (00000001-19ca-4651-86e5-fa29dcdd09d1)

  Accepts:  SetIndoorBikeSimulationParameters (0x11)   <-- use this for gradient
            SetTargetResistanceLevel (0x04)   range 0..100 step 1
            SetTargetPower (0x05)             range 50..600 W
  Rejects:  SetTargetInclination (0x03)       not advertised
  Notifies: Indoor Bike Data at 4 Hz

Note SetTargetInclination (0x03) is not supported, and its range characteristic reports only 06% with no negatives — so simulation mode is the only usable path for gradient.

What the Zwift Click v2 reports

Confirmed against the hardware — the pods talk to us unencrypted:

Zwift Click   (two pods, one BLE peripheral each)
  advertises 0xFC82, manufacturer 0x094a: 0a…  and  0b…   <-- type byte per pod
  service 0xFC82 wraps the familiar Zwift characteristics:
      00000002-19ca-…  notify                   device events
      00000003-19ca-…  write-without-response   commands in
      00000004-19ca-…  read, indicate           responses out
      00000100/0101/0102-19ca-…                 undocumented, silent so far

  -> 526964654f6e0009   ("RideOn" + 00 09)
  <- 526964654f6e0203   ("RideOn" + 02 03)      no key exchange, no encryption
  <- 191064                                     battery 100%
  <- 2308f7ffffff0f                             buttons: mask 0xfffffff7, bit 3 held

Two things differ from the public write-ups: the v2 puts everything under 0xFC82 rather than the trainer's 00000001-19ca-… service, and it reports buttons as a 32-bit active-low bitmask (0x23) rather than the documented two-varint 0x37 message. Idle is 0xffffffff; a clear bit means pressed.

The bit map is confirmed against the hardware:

Bit 0 1 2 3 4 5 6 7 8 12
Button left up right down A B Y Z +

D-pad on 03, face buttons on 47, paddles at 8 and 12; bits 911 are unclaimed. Use probe zwift <ADDR> --buttons to see named presses one line at a time:

[  3.51s] PRESS #1   A (bit 4)                mask 0xffffffef
[  5.44s] RELEASE   ---     mask 0xffffffff
[  6.16s] PRESS #2   Z (bit 7)                mask 0xffffff7f

Profiles

Two kinds of ride, both in the same YAML format — see profiles/:

File What it does
sine-overunders.yaml Warm-up ramp, then sinusoidal power over-unders
hill-repeats.yaml Distance-based terrain loop, repeats indefinitely
sawtooth-gradient.yaml Gradient sawtooth, distance-based
square-resistance.yaml Raw resistance intervals, bypassing physics

Blocks are constant, ramp, wave (sine/square/triangle/sawtooth), segments or terrain, each driving the gradient, resistance or power channel over an extent measured in seconds or metres:

name: Sine over-unders
blocks:
  - { type: ramp, channel: power, from: 100.0, to: 200.0, extent: { seconds: 600.0 } }
  - type: wave
    channel: power
    shape: sine
    midpoint: 240.0
    amplitude: 40.0
    period: { seconds: 120.0 }
    repeats: 8.0
looping: false

GPX files are imported directly — testdata/sample-climb.gpx is a 3 km climb with realistic GPS elevation noise. Raw GPS elevation is far too noisy to differentiate into gradients, so import resamples, smooths and clamps before the trainer ever sees a number.


Development

cargo test --workspace          # 300+ tests
cargo clippy --workspace --all-targets
cd ui && npm run check          # svelte-check

The workspace is deliberately layered so most of it is testable without hardware:

crates/core     physics, profiles, GPX, ride state machine — no I/O at all
crates/ble      FTMS client; protocol logic is pure functions over bytes
crates/fit      FIT encoder; round-trip tested against an independent parser
crates/probe    hardware CLI
src-tauri       Tauri shell — owns the ride loop
ui              Svelte 5 + uPlot — renders snapshots, issues intents

crates/core/src/types.rs is the shared contract between all of them. Change it deliberately.

The app has one data source: src-tauri/src/session_backend.rs, which wraps the real ride engine and is fed by live FTMS telemetry. Nothing fabricates rider data.