The fan curve previously only controlled fan index 0; secondary fans
stayed on driver control. The curve can now target all fans (new
default) or any individual fan(s).
Backend:
- hal/fans.py: get_num_fans() via nvmlDeviceGetNumFans; get_fan_info()
returns per-fan speeds; set_fan_speed() accepts a fan index list
(None = all fans; all-fans mode is lenient toward driver-locked
fans, explicit lists are strict); reset_fan() restores all fans.
- server.py: per-GPU fan_targets state; the poller applies the curve to
all target fans and logs write failures (once per distinct error);
activation validates targets against the hardware (stale indices fall
back to all fans); POST /api/fans accepts fans, POST /api/fans/speed
accepts a fan index, GET /api/fans returns num_fans/fans/fan_targets.
- Persistence format is now {"curve": ..., "fans": ...}; legacy
bare-curve entries migrate to "all fans" at startup.
- Profiles save/apply fan_targets alongside fan_curve.
- MonitoringSample carries per-fan speeds for live gauges.
Frontend:
- Fans tab: All / Fan 1 / Fan 2 / ... selector with live per-fan %;
the selection is applied together with the curve.
- Live monitor: per-fan gauges with sparklines for multi-fan GPUs.
Add a new Dashboard tab as the default/first tab (Dashboard - Curve -
Performance - Fans) showing a full GPU overview.
Backend:
- New hal/dashboard.py: one-shot static GPU info via NVML (VBIOS, CUDA
cores, compute capability, bus width, BAR1/CPU-accessible VRAM,
Resizable BAR, PCIe max, max clocks, power limits, temp thresholds,
persistence mode, fan count, serial, board part number, UUID).
ROP count and VRAM type are best-effort from a per-model table since
NVML does not expose them.
- New /api/dashboard endpoint.
- MonitoringSample gains live throttle_reasons (+label), PCIe link
width/generation (downclocks when idle, so read per poll), and VRAM
temp (from the MEMORY thermal sensor, if exposed).
Frontend:
- New Dashboard component: critical top row (throttling, voltage,
GPU/VRAM temps), full live-monitor grid with sparklines, and a static
GPU-information grid. Unavailable fields are omitted.
- useDashboard hook + DashboardInfo type + api.client dashboard().
Also: restrict CORS to localhost origins (end-anchored), make
_int_key_deltas fail closed on bad keys, and clean up lint blockers in
server.py/monitoring.py.
- Backend HAL (hal/fans.py): NVML v2 fan read/set/reset with min/max queries
- Server endpoints: GET/POST /api/fans, POST /api/fans/reset, POST /api/fans/speed
- Background fan poller: reads GPU temp every 2s, interpolates fan speed from curve
- Profile integration: fan_curve field saved/applied, auto-restore on shutdown
- Frontend: FanCurveEditor (SVG chart with drag/add/delete points), FanMonitor sidebar
- App.tsx: three-tab layout (Curve, Performance, Fans)
- GaugeCard: optional history sparkline, Fan Mode card without sparkline
- fan_mode field populated as 'curve' or 'auto' in GET /api/fans
ARIA