Intel GPUs (intel_gpu_top) never report temperature or memory, so the
"suspended card" heuristic in calculateGPUAverage (temp == 0 &&
memoryUsed == 0) fired on every collection that landed between samples.
intel_gpu_top samples every 3.3s (intelGpuStatsInterval) while the hub's
realtime worker collects every 1s, so most realtime collections had no
new sample (delta count 0) and returned an empty GPUData with power
omitted (json "p"/"pp" are omitempty). The frontend derives the GPU
Power Draw series and legend from the latest sample, so the chart and
legend blanked on roughly two of every three or four one-second cycles.
NVIDIA/AMD were unaffected because they report temperature even when
idle, so the heuristic never fired and the last average was already
carried forward.
Gate the zero-return on non-engine (discrete) GPUs so Intel GPUs carry
the last average forward during between-sample gaps, matching the
existing NVIDIA/AMD behavior. Add a regression test.
- Prefix Intel GPU ID as i0 to avoid NVML/NVIDIA index IDs like 0
- Update frontend GPU engines chart to select a GPU by id instead of
assuming g[0]
- Adjust tests to use the new Intel GPU id
- add one minute charts
- update disk io to use bytes
- update hub and agent connection interfaces / handlers to be more
flexible
- change agent cache to use cache time instead of session id
- refactor collection of metrics which require deltas to track
separately per cache time
