Tasks are now started simultaneously when multiple are enqueued (e.g.
Run All). The worker drains all pending tasks at once and launches each
in its own goroutine, waiting via WaitGroup. kmsg watcher updated to
use a shared event window with a reference counter across concurrent tasks.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Raise loglevel from 3 to 6 (INFO) and add systemd.show_status=1 so
kernel driver messages and systemd [ OK ]/[ FAILED ] lines are visible
during boot instead of showing only a blank cursor.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add platform/error_patterns.go: pluggable table of kernel log patterns
(NVIDIA/GPU, PCIe AER, storage I/O, MCE, EDAC) — extend by adding one struct
- Add app/component_status_db.go: persistent JSON store (component-status.json)
keyed by "pcie:BDF", "storage:dev", "cpu:all", "memory:all"; OK never
downgrades Warning or Critical
- Add webui/kmsg_watcher.go: goroutine reads /dev/kmsg during SAT tasks,
writes Warning to DB for matched hardware errors
- Fix task status: overall_status=FAILED in summary.txt now marks task failed
- Audit routine overlays component DB statuses into bee-audit.json on every read
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Support bundle is now built on-the-fly when the user clicks the button,
regardless of whether other tasks are running:
- GET /export/support.tar.gz builds the bundle synchronously and streams it
directly to the client; the temp archive is removed after serving
- Remove POST /api/export/bundle and handleAPIExportBundle — the task-queue
approach meant the bundle could only be downloaded after navigating away
and back, and was blocked entirely while a long SAT test was running
- UI: single "Download Support Bundle" button; fetch+blob gives a loading
state ("Building...") while the server collects logs, then triggers the
browser download with the correct filename from Content-Disposition
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
All final artefacts for a given version now land in one place:
dist/easy-bee-v4.1/
easy-bee-nvidia-v4.1-amd64.iso
easy-bee-nvidia-v4.1-amd64.logs.tar.gz ← log archive
(logs dir deleted after archiving)
- Introduce OUT_DIR="${DIST_DIR}/easy-bee-v${ISO_VERSION_EFFECTIVE}"
- Move LOG_DIR, LOG_ARCHIVE, and ISO_OUT into OUT_DIR
- cleanup_build_log: use dirname(LOG_DIR) as tar -C base so the path is
correct regardless of where OUT_DIR lives; delete LOG_DIR after archiving
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- tasks: mark TaskRunning tasks as TaskFailed on bee-web restart instead of
re-queueing them — prevents duplicate gpu-burn-worker spawns when bee-web
crashes mid-test (each restart was launching a new set of 8 workers on top
of still-alive orphans from the previous crash)
- server: reduce metrics collector interval 1s→5s, grow ring buffer to 360
samples (30 min); cuts nvidia-smi/ipmitool/sensors subprocess rate by 5×
- platform: add KillTestWorkers() — scans /proc and SIGKILLs bee-gpu-burn,
stress-ng, stressapptest, memtester without relying on pkill/killall
- webui: add "Kill Workers" button next to Cancel All; calls
POST /api/tasks/kill-workers which cancels the task queue then kills
orphaned OS-level processes; shows toast with killed count
- metricsdb: sort GPU indices and fan/temp names after map iteration to fix
non-deterministic sample reconstruction order (flaky test)
- server: fix chartYAxisNumber to use one decimal place for 1000–9999
(e.g. "1,7к" instead of "2к") so Y-axis ticks are distinguishable
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
exec.CommandContext only kills the direct child (the shell script), leaving
grandchildren (john, gpu-burn, etc.) as orphans. Set Setpgid so each SAT
job runs in its own process group, then send SIGKILL to the whole group
(-pgid) in the Cancel hook.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When 8 john processes start simultaneously they race for GPU memory during
OpenCL GWS auto-tuning. Slower devices settle on a smaller work size (~594MiB
vs 762MiB) and run at 40% instead of 100% load. Add 3s sleep between launches
so each instance finishes memory allocation before the next one starts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- bee-john-gpu-stress: spawn one john process per OpenCL device in parallel
so all GPUs are stressed simultaneously instead of only device 1
- bee-openbox-session: --start-fullscreen → --start-maximized to fix blank
white page on first render in fbdev environment
- storage collector: skip Virtual HDisk* devices reported by BMC/iDRAC
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- nvidia collector: read pcie.link.gen.current/max from nvidia-smi instead
of sysfs to avoid false Gen1 readings when GPU is in ASPM idle state
- build: remove bee-nccl-gpu-stress from rm -f list so shell script from
overlay is not silently dropped from the ISO
- smoketest: add explicit checks for bee-gpu-burn, bee-john-gpu-stress,
bee-nccl-gpu-stress, all_reduce_perf
- netconf: re-exec via sudo when not root to fix RTNETLINK/resolv.conf errors
- auto/config: reduce loglevel 7→3 to show clean systemd output on boot
- auto/config: blacklist snd_hda_intel and related audio modules (unused on servers)
- package-lists: remove firmware-intel-sound and firmware-amd-graphics from
base list; move firmware-amd-graphics to bee-amd variant only
- bible-local: mark memtest ADR resolved, document working solution
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Burn tab: replace 6 flat cards with 3 grouped cards (GPU Stress,
Compute Stress, Platform Thermal Cycling) + global Burn Profile
- Run All button at top enqueues all enabled tests across all cards
- GPU Stress: tool checkboxes enabled/disabled via new /api/gpu/tools
endpoint based on driver status (/dev/nvidia0, /dev/kfd)
- Compute Stress: checkboxes for cpu/memory-stress/stressapptest
- Platform Thermal Cycling: component checkboxes (cpu/nvidia/amd)
with platform_components param wired through to PlatformStressOptions
- bee-gpu-burn: default size-mb changed from 64 to 0 (auto); script
now queries nvidia-smi memory.total per GPU and uses 95% of it
- platform_stress: removed hardcoded --size-mb 64; respects Components
field to selectively run CPU and/or GPU load goroutines
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
