add one minute chart + refactor rpc

- 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
This commit is contained in:
henrygd
2025-10-02 17:56:51 -04:00
parent f9a39c6004
commit 7d6230de74
44 changed files with 3892 additions and 551 deletions

View File

@@ -44,6 +44,21 @@ type GPUManager struct {
tegrastats bool
intelGpuStats bool
GpuDataMap map[string]*system.GPUData
// lastAvgData stores the last calculated averages for each GPU
// Used when a collection happens before new data arrives (Count == 0)
lastAvgData map[string]system.GPUData
// Per-cache-key tracking for delta calculations
// cacheKey -> gpuId -> snapshot of last count/usage/power values
lastSnapshots map[uint16]map[string]*gpuSnapshot
}
// gpuSnapshot stores the last observed incremental values for delta tracking
type gpuSnapshot struct {
count uint32
usage float64
power float64
powerPkg float64
engines map[string]float64
}
// RocmSmiJson represents the JSON structure of rocm-smi output
@@ -229,48 +244,21 @@ func (gm *GPUManager) parseAmdData(output []byte) bool {
return true
}
// sums and resets the current GPU utilization data since the last update
func (gm *GPUManager) GetCurrentData() map[string]system.GPUData {
// GetCurrentData returns GPU utilization data averaged since the last call with this cacheKey
func (gm *GPUManager) GetCurrentData(cacheKey uint16) map[string]system.GPUData {
gm.Lock()
defer gm.Unlock()
// check for GPUs with the same name
nameCounts := make(map[string]int)
for _, gpu := range gm.GpuDataMap {
nameCounts[gpu.Name]++
}
gm.initializeSnapshots(cacheKey)
nameCounts := gm.countGPUNames()
// copy / reset the data
gpuData := make(map[string]system.GPUData, len(gm.GpuDataMap))
for id, gpu := range gm.GpuDataMap {
// avoid division by zero
count := max(gpu.Count, 1)
gpuAvg := gm.calculateGPUAverage(id, gpu, cacheKey)
gm.updateInstantaneousValues(&gpuAvg, gpu)
gm.storeSnapshot(id, gpu, cacheKey)
// average the data
gpuAvg := *gpu
gpuAvg.Temperature = twoDecimals(gpu.Temperature)
gpuAvg.Power = twoDecimals(gpu.Power / count)
// intel gpu stats doesn't provide usage, memory used, or memory total
if gpu.Engines != nil {
maxEngineUsage := 0.0
for name, engine := range gpu.Engines {
gpuAvg.Engines[name] = twoDecimals(engine / count)
maxEngineUsage = max(maxEngineUsage, engine/count)
}
gpuAvg.PowerPkg = twoDecimals(gpu.PowerPkg / count)
gpuAvg.Usage = twoDecimals(maxEngineUsage)
} else {
gpuAvg.Usage = twoDecimals(gpu.Usage / count)
gpuAvg.MemoryUsed = twoDecimals(gpu.MemoryUsed)
gpuAvg.MemoryTotal = twoDecimals(gpu.MemoryTotal)
}
// reset accumulators in the original gpu data for next collection
gpu.Usage, gpu.Power, gpu.PowerPkg, gpu.Count = gpuAvg.Usage, gpuAvg.Power, gpuAvg.PowerPkg, 1
gpu.Engines = gpuAvg.Engines
// append id to the name if there are multiple GPUs with the same name
// Append id to name if there are multiple GPUs with the same name
if nameCounts[gpu.Name] > 1 {
gpuAvg.Name = fmt.Sprintf("%s %s", gpu.Name, id)
}
@@ -280,6 +268,114 @@ func (gm *GPUManager) GetCurrentData() map[string]system.GPUData {
return gpuData
}
// initializeSnapshots ensures snapshot maps are initialized for the given cache key
func (gm *GPUManager) initializeSnapshots(cacheKey uint16) {
if gm.lastAvgData == nil {
gm.lastAvgData = make(map[string]system.GPUData)
}
if gm.lastSnapshots == nil {
gm.lastSnapshots = make(map[uint16]map[string]*gpuSnapshot)
}
if gm.lastSnapshots[cacheKey] == nil {
gm.lastSnapshots[cacheKey] = make(map[string]*gpuSnapshot)
}
}
// countGPUNames returns a map of GPU names to their occurrence count
func (gm *GPUManager) countGPUNames() map[string]int {
nameCounts := make(map[string]int)
for _, gpu := range gm.GpuDataMap {
nameCounts[gpu.Name]++
}
return nameCounts
}
// calculateGPUAverage computes the average GPU metrics since the last snapshot for this cache key
func (gm *GPUManager) calculateGPUAverage(id string, gpu *system.GPUData, cacheKey uint16) system.GPUData {
lastSnapshot := gm.lastSnapshots[cacheKey][id]
currentCount := uint32(gpu.Count)
deltaCount := gm.calculateDeltaCount(currentCount, lastSnapshot)
// If no new data arrived, use last known average
if deltaCount == 0 {
return gm.lastAvgData[id] // zero value if not found
}
// Calculate new average
gpuAvg := *gpu
deltaUsage, deltaPower, deltaPowerPkg := gm.calculateDeltas(gpu, lastSnapshot)
gpuAvg.Power = twoDecimals(deltaPower / float64(deltaCount))
if gpu.Engines != nil {
gpuAvg.Usage = gm.calculateIntelGPUUsage(&gpuAvg, gpu, lastSnapshot, deltaCount)
gpuAvg.PowerPkg = twoDecimals(deltaPowerPkg / float64(deltaCount))
} else {
gpuAvg.Usage = twoDecimals(deltaUsage / float64(deltaCount))
}
gm.lastAvgData[id] = gpuAvg
return gpuAvg
}
// calculateDeltaCount returns the change in count since the last snapshot
func (gm *GPUManager) calculateDeltaCount(currentCount uint32, lastSnapshot *gpuSnapshot) uint32 {
if lastSnapshot != nil {
return currentCount - lastSnapshot.count
}
return currentCount
}
// calculateDeltas computes the change in usage, power, and powerPkg since the last snapshot
func (gm *GPUManager) calculateDeltas(gpu *system.GPUData, lastSnapshot *gpuSnapshot) (deltaUsage, deltaPower, deltaPowerPkg float64) {
if lastSnapshot != nil {
return gpu.Usage - lastSnapshot.usage,
gpu.Power - lastSnapshot.power,
gpu.PowerPkg - lastSnapshot.powerPkg
}
return gpu.Usage, gpu.Power, gpu.PowerPkg
}
// calculateIntelGPUUsage computes Intel GPU usage from engine metrics and returns max engine usage
func (gm *GPUManager) calculateIntelGPUUsage(gpuAvg, gpu *system.GPUData, lastSnapshot *gpuSnapshot, deltaCount uint32) float64 {
maxEngineUsage := 0.0
for name, engine := range gpu.Engines {
var deltaEngine float64
if lastSnapshot != nil && lastSnapshot.engines != nil {
deltaEngine = engine - lastSnapshot.engines[name]
} else {
deltaEngine = engine
}
gpuAvg.Engines[name] = twoDecimals(deltaEngine / float64(deltaCount))
maxEngineUsage = max(maxEngineUsage, deltaEngine/float64(deltaCount))
}
return twoDecimals(maxEngineUsage)
}
// updateInstantaneousValues updates values that should reflect current state, not averages
func (gm *GPUManager) updateInstantaneousValues(gpuAvg *system.GPUData, gpu *system.GPUData) {
gpuAvg.Temperature = twoDecimals(gpu.Temperature)
gpuAvg.MemoryUsed = twoDecimals(gpu.MemoryUsed)
gpuAvg.MemoryTotal = twoDecimals(gpu.MemoryTotal)
}
// storeSnapshot saves the current GPU state for this cache key
func (gm *GPUManager) storeSnapshot(id string, gpu *system.GPUData, cacheKey uint16) {
snapshot := &gpuSnapshot{
count: uint32(gpu.Count),
usage: gpu.Usage,
power: gpu.Power,
powerPkg: gpu.PowerPkg,
}
if gpu.Engines != nil {
snapshot.engines = make(map[string]float64, len(gpu.Engines))
for name, value := range gpu.Engines {
snapshot.engines[name] = value
}
}
gm.lastSnapshots[cacheKey][id] = snapshot
}
// detectGPUs checks for the presence of GPU management tools (nvidia-smi, rocm-smi, tegrastats)
// in the system path. It sets the corresponding flags in the GPUManager struct if any of these
// tools are found. If none of the tools are found, it returns an error indicating that no GPU