{"type":"file-history-snapshot","messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":false} {"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","toolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","timestamp":"2026-03-13T06:51:34.728Z","uuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/7e911723-3abe-436f-b672-d1eef82d81c0.jsonl"},"uuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","timestamp":"2026-03-13T06:51:31.951Z","planContent":"# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxK8b8uwraTQBzMe5oaDPJaMCG8RF5eeZwUUiIwnqHPOdpt6cL6OQF8XcJa7007BGRTJo7lJUyVZ0a1dmw5UmieO+gnKWqUWGSD0QTZKnDm9NBDNIVf65zz6tniU2i+yXhPvfQxcS7iC1lO9kbcJObsJChK9BVhCRN6sWi7rWPekQrMC0swmq+4SemtgENuUgtlIohUlJUGFn6tqPFU1m4yKiA+XlHLO20GH/c/hLYfsb6Rx9X4Kc+K6DFZ62/xGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","timestamp":"2026-03-13T06:51:36.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the relevant files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","timestamp":"2026-03-13T06:51:37.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","timestamp":"2026-03-13T06:51:38.355Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","toolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","timestamp":"2026-03-13T06:51:38.364Z","uuid":"4766aebb-ec10-4efc-98eb-c2e1664f12a4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n 201→//\n 202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n 203→//\n 204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n 205→func InitMetrics(metrics map[string]MetricConfig) {\n 206→\tsingleton.Do(func() {\n 207→\t\toffset := 0\n 208→\t\tfor key, cfg := range metrics {\n 209→\t\t\tif cfg.Frequency == 0 {\n 210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n 211→\t\t\t}\n 212→\n 213→\t\t\tmetrics[key] = MetricConfig{\n 214→\t\t\t\tFrequency: cfg.Frequency,\n 215→\t\t\t\tAggregation: cfg.Aggregation,\n 216→\t\t\t\toffset: offset,\n 217→\t\t\t}\n 218→\t\t\toffset += 1\n 219→\t\t}\n 220→\n 221→\t\tmsInstance = &MemoryStore{\n 222→\t\t\troot: Level{\n 223→\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n 224→\t\t\t\tchildren: make(map[string]*Level),\n 225→\t\t\t},\n 226→\t\t\tMetrics: metrics,\n 227→\t\t}\n 228→\t})\n 229→}\n 230→\n 231→// GetMemoryStore returns the singleton MemoryStore instance.\n 232→//\n 233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n 234→//\n 235→// This function is safe for concurrent use after initialization.\n 236→func GetMemoryStore() *MemoryStore {\n 237→\tif msInstance == nil {\n 238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n 239→\t}\n 240→\n 241→\treturn msInstance\n 242→}\n 243→\n 244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n 245→\tif metric, ok := ms.Metrics[metricName]; ok {\n 246→\t\treturn metric.Frequency, nil\n 247→\t}\n 248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n 249→}\n 250→\n 251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n 252→// This must be called during initialization to provide job state information\n 253→// for selective buffer retention during Free operations.\n 254→// If not set, the Free function will fall back to freeing all buffers.\n 255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n 256→\tms.nodeProvider = provider\n 257→}\n 258→\n 259→// Shutdown performs a graceful shutdown of the metric store.\n 260→//\n 261→// This function cancels all background goroutines started by Init() and writes\n 262→// a final checkpoint to disk before returning. It should be called when the\n 263→// application receives a termination signal.\n 264→//\n 265→// The function will:\n 266→// 1. Cancel the context to stop all background workers\n 267→// 2. Close the WAL messages channel if using WAL format\n 268→// 3. Write a final checkpoint to preserve in-memory data\n 269→// 4. Log any errors encountered during shutdown\n 270→//\n 271→// Note: This function blocks until the final checkpoint is written.\n 272→func Shutdown() {\n 273→\tshutdownFuncMu.Lock()\n 274→\tdefer shutdownFuncMu.Unlock()\n 275→\tif shutdownFunc != nil {\n 276→\t\tshutdownFunc()\n 277→\t}\n 278→\n 279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 280→\t\tclose(WALMessages)\n 281→\t}\n 282→\n 283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n 284→\tvar files int\n 285→\tvar err error\n 286→\n 287→\tms := GetMemoryStore()\n 288→\n 289→\tlastCheckpointMu.Lock()\n 290→\tfrom := lastCheckpoint\n 291→\tlastCheckpointMu.Unlock()\n 292→\n 293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 294→\t\tvar hostDirs []string\n 295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 296→\t\tif err == nil {\n 297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n 298→\t\t}\n 299→\t} else {\n 300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 301→\t}\n 302→\n 303→\tif err != nil {\n 304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n 305→\t}\n 306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n 307→}\n 308→\n 309→// Retention starts a background goroutine that periodically frees old metric data.\n 310→//\n 311→// This worker runs at half the retention interval and calls Free() to remove buffers\n 312→// older than the configured retention time. It respects the NodeProvider to preserve\n 313→// data for nodes with active jobs.\n 314→//\n 315→// Parameters:\n 316→// - wg: WaitGroup to signal completion when context is cancelled\n 317→// - ctx: Context for cancellation signal\n 318→//\n 319→// The goroutine exits when ctx is cancelled.\n 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\td := DefaultMemoryUsageTrackerInterval\n 388→\n 389→\t\tif d <= 0 {\n 390→\t\t\treturn\n 391→\t\t}\n 392→\n 393→\t\tticker := time.NewTicker(d)\n 394→\t\tdefer ticker.Stop()\n 395→\n 396→\t\tfor {\n 397→\t\t\tselect {\n 398→\t\t\tcase <-ctx.Done():\n 399→\t\t\t\treturn\n 400→\t\t\tcase <-ticker.C:\n 401→\t\t\t\tvar mem runtime.MemStats\n 402→\t\t\t\truntime.ReadMemStats(&mem)\n 403→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 404→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 405→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 406→\n 407→\t\t\t\tfreedExcluded := 0\n 408→\t\t\t\tfreedEmergency := 0\n 409→\t\t\t\tvar err error\n 410→\n 411→\t\t\t\tstate.mu.RLock()\n 412→\t\t\t\tlastRetention := state.lastRetentionTime\n 413→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 414→\t\t\t\tstate.mu.RUnlock()\n 415→\n 416→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 417→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 418→\t\t\t\t\tif err != nil {\n 419→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 420→\t\t\t\t\t}\n 421→\n 422→\t\t\t\t\tif freedExcluded > 0 {\n 423→\t\t\t\t\t\tdebug.FreeOSMemory()\n 424→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 425→\t\t\t\t\t}\n 426→\t\t\t\t}\n 427→\n 428→\t\t\t\truntime.ReadMemStats(&mem)\n 429→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 430→\n 431→\t\t\t\tbufferPool.Clear()\n 432→\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n 433→\n 434→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 435→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 436→\n 437→\t\t\t\t\tconst maxIterations = 100\n 438→\n 439→\t\t\t\t\tfor i := range maxIterations {\n 440→\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 441→\t\t\t\t\t\t\tbreak\n 442→\t\t\t\t\t\t}\n 443→\n 444→\t\t\t\t\t\tfreed, err := ms.ForceFree()\n 445→\t\t\t\t\t\tif err != nil {\n 446→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n 447→\t\t\t\t\t\t}\n 448→\t\t\t\t\t\tif freed == 0 {\n 449→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 450→\t\t\t\t\t\t\tbreak\n 451→\t\t\t\t\t\t}\n 452→\t\t\t\t\t\tfreedEmergency += freed\n 453→\n 454→\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n 455→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 456→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 457→\t\t\t\t\t\t}\n 458→\t\t\t\t\t}\n 459→\n 460→\t\t\t\t\t// if freedEmergency > 0 {\n 461→\t\t\t\t\t// \tdebug.FreeOSMemory()\n 462→\t\t\t\t\t// }\n 463→\n 464→\t\t\t\t\truntime.ReadMemStats(&mem)\n 465→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 466→\n 467→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 468→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 469→\t\t\t\t\t} else {\n 470→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 471→\t\t\t\t\t}\n 472→\t\t\t\t}\n 473→\t\t\t}\n 474→\t\t}\n 475→\t})\n 476→}\n 477→\n 478→// Free removes metric data older than the given time while preserving data for active nodes.\n 479→//\n 480→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 481→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 482→// preserved even if older than the retention time.\n 483→//\n 484→// Parameters:\n 485→// - ms: The MemoryStore instance\n 486→// - t: Time threshold - buffers with data older than this will be freed\n 487→//\n 488→// Returns:\n 489→// - Number of buffers freed\n 490→// - Error if NodeProvider query fails\n 491→//\n 492→// Behavior:\n 493→// - If no NodeProvider is set: frees all buffers older than t\n 494→// - If NodeProvider returns empty map: frees all buffers older than t\n 495→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 496→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 497→\t// If no NodeProvider is configured, free all buffers older than t\n 498→\tif ms.nodeProvider == nil {\n 499→\t\treturn ms.Free(nil, t.Unix())\n 500→\t}\n 501→\n 502→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 503→\tif err != nil {\n 504→\t\treturn 0, err\n 505→\t}\n 506→\n 507→\tswitch lenMap := len(excludeSelectors); lenMap {\n 508→\n 509→\t// If the length of the map returned by GetUsedNodes() is 0,\n 510→\t// then use default Free method with nil selector\n 511→\tcase 0:\n 512→\t\tstate.selectorsExcluded = false\n 513→\t\treturn ms.Free(nil, t.Unix())\n 514→\n 515→\t// Else formulate selectors, exclude those from the map\n 516→\t// and free the rest of the selectors\n 517→\tdefault:\n 518→\t\tstate.selectorsExcluded = true\n 519→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 520→\t\treturn FreeSelected(ms, selectors, t)\n 521→\t}\n 522→}\n 523→\n 524→// FreeSelected frees buffers for specific selectors while preserving others.\n 525→//\n 526→// This function is used when we want to retain some specific nodes beyond the retention time.\n 527→// It iterates through the provided selectors and frees their associated buffers.\n 528→//\n 529→// Parameters:\n 530→// - ms: The MemoryStore instance\n 531→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 532→// - t: Time threshold for freeing buffers\n 533→//\n 534→// Returns the total number of buffers freed and any error encountered.\n 535→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 536→\tfreed := 0\n 537→\n 538→\tfor _, selector := range selectors {\n 539→\n 540→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 541→\t\tif err != nil {\n 542→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 543→\t\t}\n 544→\t\tfreed += freedBuffers\n 545→\n 546→\t}\n 547→\n 548→\treturn freed, nil\n 549→}\n 550→\n 551→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 552→//\n 553→// This function generates a list of selectors whose buffers should be freed by excluding\n 554→// selectors that correspond to nodes currently in use by running jobs.\n 555→//\n 556→// Parameters:\n 557→// - ms: The MemoryStore instance\n 558→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 559→//\n 560→// Returns a list of selectors ([]string paths) that can be safely freed.\n 561→//\n 562→// Example:\n 563→//\n 564→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 565→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 566→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 567→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 568→\tallSelectors := ms.GetPaths(2)\n 569→\n 570→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 571→\n 572→\tfor _, path := range allSelectors {\n 573→\t\tif len(path) < 2 {\n 574→\t\t\tcontinue\n 575→\t\t}\n 576→\n 577→\t\tkey := path[0] // The \"Key\" (Level 1)\n 578→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 579→\n 580→\t\texclude := false\n 581→\n 582→\t\t// Check if the key exists in our exclusion map\n 583→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 584→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 585→\t\t\tif slices.Contains(excludedValues, value) {\n 586→\t\t\t\texclude = true\n 587→\t\t\t}\n 588→\t\t}\n 589→\n 590→\t\tif !exclude {\n 591→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 592→\t\t}\n 593→\t}\n 594→\n 595→\treturn filteredSelectors\n 596→}\n 597→\n 598→// GetPaths returns a list of lists (paths) to the specified depth.\n 599→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 600→\tvar results [][]string\n 601→\n 602→\t// Start recursion. Initial path is empty.\n 603→\t// We treat Root as depth 0.\n 604→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 605→\n 606→\treturn results\n 607→}\n 608→\n 609→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 610→// Look at `findLevelOrCreate` for how selectors work.\n 611→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 612→\tvar ok bool\n 613→\tfor i, metric := range metrics {\n 614→\t\tif metric.MetricConfig.Frequency == 0 {\n 615→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 616→\t\t\tif !ok {\n 617→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 618→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 619→\t\t\t}\n 620→\t\t\tmetrics[i] = metric\n 621→\t\t}\n 622→\t}\n 623→\n 624→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 625→}\n 626→\n 627→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 628→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 629→}\n 630→\n 631→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 632→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 633→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 634→\tl.lock.Lock()\n 635→\tdefer l.lock.Unlock()\n 636→\n 637→\tfor _, metric := range metrics {\n 638→\t\tif metric.MetricConfig.Frequency == 0 {\n 639→\t\t\tcontinue\n 640→\t\t}\n 641→\n 642→\t\tb := l.metrics[metric.MetricConfig.offset]\n 643→\t\tif b == nil {\n 644→\t\t\t// First write to this metric and level\n 645→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 646→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 647→\t\t}\n 648→\n 649→\t\tnb, err := b.write(ts, metric.Value)\n 650→\t\tif err != nil {\n 651→\t\t\treturn err\n 652→\t\t}\n 653→\n 654→\t\t// Last write created a new buffer...\n 655→\t\tif b != nb {\n 656→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 657→\t\t}\n 658→\t}\n 659→\treturn nil\n 660→}\n 661→\n 662→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 663→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 664→// The second and third return value are the actual from/to for the data. Those can be different from\n 665→// the range asked for if no data was available.\n 666→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 667→\tif from > to {\n 668→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 669→\t}\n 670→\n 671→\tminfo, ok := m.Metrics[metric]\n 672→\tif !ok {\n 673→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 674→\t}\n 675→\n 676→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 677→\n 678→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 679→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 680→\t\tif err != nil {\n 681→\t\t\treturn err\n 682→\t\t}\n 683→\n 684→\t\tif n == 0 {\n 685→\t\t\tfrom, to = cfrom, cto\n 686→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 687→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 688→\t\t\tif missingfront != 0 {\n 689→\t\t\t\treturn ErrDataDoesNotAlign\n 690→\t\t\t}\n 691→\n 692→\t\t\tnewlen := len(cdata) - missingback\n 693→\t\t\tif newlen < 1 {\n 694→\t\t\t\treturn ErrDataDoesNotAlign\n 695→\t\t\t}\n 696→\t\t\tcdata = cdata[0:newlen]\n 697→\t\t\tif len(cdata) != len(data) {\n 698→\t\t\t\treturn ErrDataDoesNotAlign\n 699→\t\t\t}\n 700→\n 701→\t\t\tfrom, to = cfrom, cto\n 702→\t\t}\n 703→\n 704→\t\tdata = cdata\n 705→\t\tn += 1\n 706→\t\treturn nil\n 707→\t})\n 708→\n 709→\tif err != nil {\n 710→\t\treturn nil, 0, 0, 0, err\n 711→\t} else if n == 0 {\n 712→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 713→\t} else if n > 1 {\n 714→\t\tif minfo.Aggregation == AvgAggregation {\n 715→\t\t\tnormalize := 1. / schema.Float(n)\n 716→\t\t\tfor i := 0; i < len(data); i++ {\n 717→\t\t\t\tdata[i] *= normalize\n 718→\t\t\t}\n 719→\t\t} else if minfo.Aggregation != SumAggregation {\n 720→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 725→\tif err != nil {\n 726→\t\treturn nil, 0, 0, 0, err\n 727→\t}\n 728→\n 729→\treturn data, from, to, resolution, nil\n 730→}\n 731→\n 732→// Free releases all buffers for the selected level and all its children that\n 733→// contain only values older than `t`.\n 734→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 735→\treturn m.GetLevel(selector).free(t)\n 736→}\n 737→\n 738→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 739→func (m *MemoryStore) ForceFree() (int, error) {\n 740→\treturn m.GetLevel(nil).forceFree()\n 741→}\n 742→\n 743→func (m *MemoryStore) FreeAll() error {\n 744→\tfor k := range m.root.children {\n 745→\t\tdelete(m.root.children, k)\n 746→\t}\n 747→\n 748→\treturn nil\n 749→}\n 750→\n 751→func (m *MemoryStore) SizeInBytes() int64 {\n 752→\treturn m.root.sizeInBytes()\n 753→}\n 754→\n 755→func (m *MemoryStore) SizeInGB() float64 {\n 756→\treturn float64(m.root.sizeInBytes()) / 1e9\n 757→}\n 758→\n 759→// ListChildren , given a selector, returns a list of all children of the level\n 760→// selected.\n 761→func (m *MemoryStore) ListChildren(selector []string) []string {\n 762→\tlvl := &m.root\n 763→\tfor lvl != nil && len(selector) != 0 {\n 764→\t\tlvl.lock.RLock()\n 765→\t\tnext := lvl.children[selector[0]]\n 766→\t\tlvl.lock.RUnlock()\n 767→\t\tlvl = next\n 768→\t\tselector = selector[1:]\n 769→\t}\n 770→\n 771→\tif lvl == nil {\n 772→\t\treturn nil\n 773→\t}\n 774→\n 775→\tlvl.lock.RLock()\n 776→\tdefer lvl.lock.RUnlock()\n 777→\n 778→\tchildren := make([]string, 0, len(lvl.children))\n 779→\tfor child := range lvl.children {\n 780→\t\tchildren = append(children, child)\n 781→\t}\n 782→\n 783→\treturn children\n 784→}\n 785→"}]},"uuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","timestamp":"2026-03-13T06:51:38.364Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":785,"startLine":1,"totalLines":785}},"sourceToolAssistantUUID":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","timestamp":"2026-03-13T06:51:38.802Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","toolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","timestamp":"2026-03-13T06:51:38.807Z","uuid":"6a44cbf3-47f8-4069-bd9a-197f0c69f685","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides config.go: Configuration structures and metric management.\n 7→//\n 8→// # Configuration Hierarchy\n 9→//\n 10→// The metricstore package uses nested configuration structures:\n 11→//\n 12→//\tMetricStoreConfig (Keys)\n 13→//\t├─ NumWorkers: Parallel checkpoint/archive workers\n 14→//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n 18→//\t│ └─ RootDir: Checkpoint storage path\n 19→//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n 20→//\t│ ├─ RootDir: Archive storage path (archive mode only)\n 21→//\t│ └─ Mode: \"delete\" or \"archive\"\n 22→//\t├─ Debug: Development/debugging options\n 23→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 24→//\n 25→// # Metric Configuration\n 26→//\n 27→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 28→// Metrics map, defining:\n 29→//\n 30→// - Frequency: Measurement interval in seconds\n 31→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 32→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 33→//\n 34→// # AggregationStrategy\n 35→//\n 36→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 37→//\n 38→// - NoAggregation: Do not combine (incompatible scopes)\n 39→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 40→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"fmt\"\n 45→\t\"time\"\n 46→\n 47→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 48→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 50→)\n 51→\n 52→const (\n 53→\tDefaultMaxWorkers = 10\n 54→\tDefaultBufferCapacity = 512\n 55→\tDefaultGCTriggerInterval = 100\n 56→\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n 57→)\n 58→\n 59→// Checkpoints configures periodic persistence of in-memory metric data.\n 60→//\n 61→// Fields:\n 62→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n 63→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 64→type Checkpoints struct {\n 65→\tFileFormat string `json:\"file-format\"`\n 66→\tRootDir string `json:\"directory\"`\n 67→}\n 68→\n 69→// Debug provides development and profiling options.\n 70→//\n 71→// Fields:\n 72→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 73→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 74→type Debug struct {\n 75→\tDumpToFile string `json:\"dump-to-file\"`\n 76→\tEnableGops bool `json:\"gops\"`\n 77→}\n 78→\n 79→// Cleanup configures long-term storage of old metric data.\n 80→//\n 81→// Data older than RetentionInMemory is archived to disk or deleted.\n 82→// The cleanup interval is always RetentionInMemory.\n 83→//\n 84→// Fields:\n 85→// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n 86→// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\n 87→type Cleanup struct {\n 88→\tRootDir string `json:\"directory\"`\n 89→\tMode string `json:\"mode\"`\n 90→}\n 91→\n 92→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 93→//\n 94→// Each subscription receives metrics via NATS messaging, enabling real-time\n 95→// data collection from compute nodes.\n 96→//\n 97→// Fields:\n 98→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 99→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 100→type Subscriptions []struct {\n 101→\t// Channel name\n 102→\tSubscribeTo string `json:\"subscribe-to\"`\n 103→\n 104→\t// Allow lines without a cluster tag, use this as default, optional\n 105→\tClusterTag string `json:\"cluster-tag\"`\n 106→}\n 107→\n 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tMemoryCap int `json:\"memory-cap\"`\n 127→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 128→\tDebug *Debug `json:\"debug\"`\n 129→\tCleanup *Cleanup `json:\"cleanup\"`\n 130→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 131→}\n 132→\n 133→// Keys is the global metricstore configuration instance.\n 134→//\n 135→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 136→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 137→var Keys MetricStoreConfig = MetricStoreConfig{\n 138→\tCheckpoints: Checkpoints{\n 139→\t\tFileFormat: \"wal\",\n 140→\t\tRootDir: \"./var/checkpoints\",\n 141→\t},\n 142→\tCleanup: &Cleanup{\n 143→\t\tMode: \"delete\",\n 144→\t},\n 145→}\n 146→\n 147→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 148→//\n 149→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 150→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 151→//\n 152→// Values:\n 153→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 154→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 155→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 156→type AggregationStrategy int\n 157→\n 158→const (\n 159→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 160→\tSumAggregation // Sum values (e.g., power, energy)\n 161→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 162→)\n 163→\n 164→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 165→//\n 166→// Used when loading metric configurations from JSON/YAML files.\n 167→//\n 168→// Parameters:\n 169→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 170→//\n 171→// Returns:\n 172→// - AggregationStrategy: Parsed value\n 173→// - error: Non-nil if str is unrecognized\n 174→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 175→\tswitch str {\n 176→\tcase \"\":\n 177→\t\treturn NoAggregation, nil\n 178→\tcase \"sum\":\n 179→\t\treturn SumAggregation, nil\n 180→\tcase \"avg\":\n 181→\t\treturn AvgAggregation, nil\n 182→\tdefault:\n 183→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 184→\t}\n 185→}\n 186→\n 187→// MetricConfig defines configuration for a single metric type.\n 188→//\n 189→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 190→//\n 191→// Fields:\n 192→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 193→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 194→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 195→type MetricConfig struct {\n 196→\t// Interval in seconds at which measurements are stored\n 197→\tFrequency int64\n 198→\n 199→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 200→\tAggregation AggregationStrategy\n 201→\n 202→\t// Private, used internally...\n 203→\toffset int\n 204→}\n 205→\n 206→func BuildMetricList() map[string]MetricConfig {\n 207→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 208→\n 209→\taddMetric := func(name string, metric MetricConfig) error {\n 210→\t\tif metrics == nil {\n 211→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 212→\t\t}\n 213→\n 214→\t\tif existingMetric, ok := metrics[name]; ok {\n 215→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 216→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 217→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 218→\t\t\t\t\tmetrics[name] = existingMetric\n 219→\t\t\t\t}\n 220→\t\t\t}\n 221→\t\t} else {\n 222→\t\t\tmetrics[name] = metric\n 223→\t\t}\n 224→\n 225→\t\treturn nil\n 226→\t}\n 227→\n 228→\t// Helper function to add metric configuration\n 229→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 230→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 231→\t\tif err != nil {\n 232→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 233→\t\t}\n 234→\n 235→\t\taddMetric(mc.Name, MetricConfig{\n 236→\t\t\tFrequency: int64(mc.Timestep),\n 237→\t\t\tAggregation: agg,\n 238→\t\t})\n 239→\t}\n 240→\tfor _, c := range archive.Clusters {\n 241→\t\tfor _, mc := range c.MetricConfig {\n 242→\t\t\taddMetricConfig(mc)\n 243→\t\t}\n 244→\n 245→\t\tfor _, sc := range c.SubClusters {\n 246→\t\t\tfor _, mc := range sc.MetricConfig {\n 247→\t\t\t\taddMetricConfig(mc)\n 248→\t\t\t}\n 249→\t\t}\n 250→\t}\n 251→\n 252→\treturn metrics\n 253→}\n 254→"}]},"uuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","timestamp":"2026-03-13T06:51:38.807Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","numLines":254,"startLine":1,"totalLines":254}},"sourceToolAssistantUUID":"02aaffa4-66f2-4db0-999f-096c2db78c1f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"e77a0811-b490-4192-92c6-cdb285981ce5","timestamp":"2026-03-13T06:51:39.252Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","toolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","timestamp":"2026-03-13T06:51:39.256Z","uuid":"5c0e1c1e-6977-42be-9797-aa14dce81a9f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements ingestion of InfluxDB line-protocol metric data received\n 7→// over NATS. Each line encodes one metric sample with the following structure:\n 8→//\n 9→//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n 10→//\n 11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n 12→// routing information (cluster, host) and optional sub-device selectors (type,\n 13→// subtype). Only one field is expected per line: \"value\".\n 14→//\n 15→// After decoding, each sample is:\n 16→// 1. Written to the in-memory store via ms.WriteToLevel.\n 17→// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n 18→// goroutine via the WALMessages channel for durable write-ahead logging.\n 19→package metricstore\n 20→\n 21→import (\n 22→\t\"bytes\"\n 23→\t\"context\"\n 24→\t\"fmt\"\n 25→\t\"sync\"\n 26→\t\"time\"\n 27→\n 28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 29→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 30→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 31→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 32→)\n 33→\n 34→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n 35→// line-protocol messages into the MemoryStore.\n 36→//\n 37→// When workers > 1 a pool of goroutines drains a shared channel so that\n 38→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n 39→// callback decodes inline (no channel overhead, lower latency).\n 40→//\n 41→// The function blocks until ctx is cancelled and all worker goroutines have\n 42→// finished. It returns nil when the NATS client is not configured; callers\n 43→// should treat that as a no-op rather than an error.\n 44→func ReceiveNats(ms *MemoryStore,\n 45→\tworkers int,\n 46→\tctx context.Context,\n 47→) error {\n 48→\tnc := nats.GetClient()\n 49→\n 50→\tif nc == nil {\n 51→\t\tcclog.Warn(\"NATS client not initialized\")\n 52→\t\treturn nil\n 53→\t}\n 54→\n 55→\tvar wg sync.WaitGroup\n 56→\tmsgs := make(chan []byte, workers*2)\n 57→\n 58→\tfor _, sc := range *Keys.Subscriptions {\n 59→\t\tclusterTag := sc.ClusterTag\n 60→\t\tif workers > 1 {\n 61→\t\t\twg.Add(workers)\n 62→\n 63→\t\t\tfor range workers {\n 64→\t\t\t\tgo func() {\n 65→\t\t\t\t\tdefer wg.Done()\n 66→\t\t\t\t\tfor m := range msgs {\n 67→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n 68→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 69→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 70→\t\t\t\t\t\t}\n 71→\t\t\t\t\t}\n 72→\t\t\t\t}()\n 73→\t\t\t}\n 74→\n 75→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 76→\t\t\t\tselect {\n 77→\t\t\t\tcase msgs <- data:\n 78→\t\t\t\tcase <-ctx.Done():\n 79→\t\t\t\t}\n 80→\t\t\t})\n 81→\t\t} else {\n 82→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 83→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n 84→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 85→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 86→\t\t\t\t}\n 87→\t\t\t})\n 88→\t\t}\n 89→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n 90→\t}\n 91→\n 92→\tgo func() {\n 93→\t\t<-ctx.Done()\n 94→\t\tclose(msgs)\n 95→\t}()\n 96→\n 97→\twg.Wait()\n 98→\n 99→\treturn nil\n 100→}\n 101→\n 102→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n 103→// avoiding an allocation. Falls back to a regular append otherwise.\n 104→//\n 105→// It is used to assemble the \"type\" and \"subtype\" selector\n 106→// strings when the type tag arrives before the type-id tag in the line, so the\n 107→// two byte slices need to be concatenated in tag-declaration order regardless\n 108→// of wire order.\n 109→func reorder(buf, prefix []byte) []byte {\n 110→\tn := len(prefix)\n 111→\tm := len(buf)\n 112→\tif cap(buf) < m+n {\n 113→\t\treturn append(prefix[:n:n], buf...)\n 114→\t} else {\n 115→\t\tbuf = buf[:n+m]\n 116→\t\tfor i := m - 1; i >= 0; i-- {\n 117→\t\t\tbuf[i+n] = buf[i]\n 118→\t\t}\n 119→\t\tfor i := range n {\n 120→\t\t\tbuf[i] = prefix[i]\n 121→\t\t}\n 122→\t\treturn buf\n 123→\t}\n 124→}\n 125→\n 126→// decodeState holds the per-call scratch buffers used by DecodeLine.\n 127→// Instances are recycled via decodeStatePool to avoid repeated allocations\n 128→// during high-throughput ingestion.\n 129→type decodeState struct {\n 130→\t// metricBuf holds a copy of the current measurement name (line-protocol\n 131→\t// measurement field). Copied because dec.Measurement() returns a slice\n 132→\t// that is invalidated by the next decoder call.\n 133→\tmetricBuf []byte\n 134→\n 135→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n 136→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n 137→\tselector []string\n 138→\n 139→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n 140→\t// current line. Reset at the start of each line's tag-decode loop.\n 141→\ttypeBuf []byte\n 142→\n 143→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n 144→\t// Reset at the start of each line's tag-decode loop.\n 145→\tsubTypeBuf []byte\n 146→\n 147→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n 148→\t// string conversion. Because consecutive lines in a batch typically address\n 149→\t// the same sub-device, the cache hit rate is very high and avoids\n 150→\t// repeated []byte→string allocations.\n 151→\tprevTypeBytes []byte\n 152→\tprevTypeStr string\n 153→\n 154→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n 155→\tprevSubTypeBytes []byte\n 156→\tprevSubTypeStr string\n 157→}\n 158→\n 159→// decodeStatePool recycles decodeState values across DecodeLine calls to\n 160→// reduce GC pressure during sustained metric ingestion.\n 161→var decodeStatePool = sync.Pool{\n 162→\tNew: func() any {\n 163→\t\treturn &decodeState{\n 164→\t\t\tmetricBuf: make([]byte, 0, 16),\n 165→\t\t\tselector: make([]string, 0, 4),\n 166→\t\t\ttypeBuf: make([]byte, 0, 16),\n 167→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n 168→\t\t}\n 169→\t},\n 170→}\n 171→\n 172→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n 173→// decoded metric sample into ms.\n 174→//\n 175→// clusterDefault is used as the cluster name for lines that do not carry a\n 176→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n 177→// subscription configuration.\n 178→//\n 179→// Performance notes:\n 180→// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n 181→// - The Level pointer (host-level node in the metric tree) is cached across\n 182→// consecutive lines that share the same cluster+host pair to avoid\n 183→// repeated lock acquisitions on the root and cluster levels.\n 184→// - []byte→string conversions for type/subtype selectors are cached via\n 185→// prevType*/prevSubType* fields because batches typically repeat the same\n 186→// sub-device identifiers.\n 187→// - Timestamp parsing tries Second precision first; if that fails it retries\n 188→// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n 189→// falls back to time.Now().\n 190→//\n 191→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n 192→// sent to WALMessages so the WAL staging goroutine can persist it durably\n 193→// before the next binary snapshot.\n 194→func DecodeLine(dec *lineprotocol.Decoder,\n 195→\tms *MemoryStore,\n 196→\tclusterDefault string,\n 197→) error {\n 198→\t// Reduce allocations in loop:\n 199→\tt := time.Now()\n 200→\tmetric := Metric{}\n 201→\tst := decodeStatePool.Get().(*decodeState)\n 202→\tdefer decodeStatePool.Put(st)\n 203→\n 204→\t// Optimize for the case where all lines in a \"batch\" are about the same\n 205→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n 206→\t// to take the root- and cluster-level lock as often.\n 207→\tvar lvl *Level = nil\n 208→\tprevCluster, prevHost := \"\", \"\"\n 209→\n 210→\tvar ok bool\n 211→\tfor dec.Next() {\n 212→\t\trawmeasurement, err := dec.Measurement()\n 213→\t\tif err != nil {\n 214→\t\t\treturn err\n 215→\t\t}\n 216→\n 217→\t\t// Needs to be copied because another call to dec.* would\n 218→\t\t// invalidate the returned slice.\n 219→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n 220→\n 221→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n 222→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n 223→\t\tif !ok {\n 224→\t\t\tcontinue\n 225→\t\t}\n 226→\n 227→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n 228→\t\tcluster, host := clusterDefault, \"\"\n 229→\t\tfor {\n 230→\t\t\tkey, val, err := dec.NextTag()\n 231→\t\t\tif err != nil {\n 232→\t\t\t\treturn err\n 233→\t\t\t}\n 234→\t\t\tif key == nil {\n 235→\t\t\t\tbreak\n 236→\t\t\t}\n 237→\n 238→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n 239→\t\t\tswitch string(key) {\n 240→\t\t\tcase \"cluster\":\n 241→\t\t\t\tif string(val) == prevCluster {\n 242→\t\t\t\t\tcluster = prevCluster\n 243→\t\t\t\t} else {\n 244→\t\t\t\t\tcluster = string(val)\n 245→\t\t\t\t\tlvl = nil\n 246→\t\t\t\t}\n 247→\t\t\tcase \"hostname\", \"host\":\n 248→\t\t\t\tif string(val) == prevHost {\n 249→\t\t\t\t\thost = prevHost\n 250→\t\t\t\t} else {\n 251→\t\t\t\t\thost = string(val)\n 252→\t\t\t\t\tlvl = nil\n 253→\t\t\t\t}\n 254→\t\t\tcase \"type\":\n 255→\t\t\t\tif string(val) == \"node\" {\n 256→\t\t\t\t\tbreak\n 257→\t\t\t\t}\n 258→\n 259→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n 260→\t\t\t\tif len(st.typeBuf) == 0 {\n 261→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 262→\t\t\t\t} else {\n 263→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n 264→\t\t\t\t}\n 265→\t\t\tcase \"type-id\":\n 266→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 267→\t\t\tcase \"subtype\":\n 268→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n 269→\t\t\t\tif len(st.subTypeBuf) == 0 {\n 270→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 271→\t\t\t\t} else {\n 272→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n 273→\t\t\t\t}\n 274→\t\t\tcase \"stype-id\":\n 275→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 276→\t\t\tdefault:\n 277→\t\t\t}\n 278→\t\t}\n 279→\n 280→\t\t// If the cluster or host changed, the lvl was set to nil\n 281→\t\tif lvl == nil {\n 282→\t\t\tst.selector = st.selector[:2]\n 283→\t\t\tst.selector[0], st.selector[1] = cluster, host\n 284→\t\t\tlvl = ms.GetLevel(st.selector)\n 285→\t\t\tprevCluster, prevHost = cluster, host\n 286→\t\t}\n 287→\n 288→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n 289→\t\t// share the same type/subtype so the hit rate is very high.\n 290→\t\tst.selector = st.selector[:0]\n 291→\t\tif len(st.typeBuf) > 0 {\n 292→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n 293→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n 294→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n 295→\t\t\t}\n 296→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n 297→\t\t\tif len(st.subTypeBuf) > 0 {\n 298→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n 299→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n 300→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n 301→\t\t\t\t}\n 302→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tfor {\n 307→\t\t\tkey, val, err := dec.NextField()\n 308→\t\t\tif err != nil {\n 309→\t\t\t\treturn err\n 310→\t\t\t}\n 311→\n 312→\t\t\tif key == nil {\n 313→\t\t\t\tbreak\n 314→\t\t\t}\n 315→\n 316→\t\t\tif string(key) != \"value\" {\n 317→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n 318→\t\t\t}\n 319→\n 320→\t\t\tif val.Kind() == lineprotocol.Float {\n 321→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n 322→\t\t\t} else if val.Kind() == lineprotocol.Int {\n 323→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n 324→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n 325→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n 326→\t\t\t} else {\n 327→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n 328→\t\t\t}\n 329→\t\t}\n 330→\n 331→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n 332→\t\t\tt = time.Now()\n 333→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n 334→\t\t\t\tt = time.Now()\n 335→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n 336→\t\t\t\t\tt = time.Now()\n 337→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n 338→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 339→\t\t\t\t\t}\n 340→\t\t\t\t}\n 341→\t\t\t}\n 342→\t\t}\n 343→\n 344→\t\tif err != nil {\n 345→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 346→\t\t}\n 347→\n 348→\t\ttime := t.Unix()\n 349→\n 350→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 351→\t\t\tWALMessages <- &WALMessage{\n 352→\t\t\t\tMetricName: string(st.metricBuf),\n 353→\t\t\t\tCluster: cluster,\n 354→\t\t\t\tNode: host,\n 355→\t\t\t\tSelector: append([]string{}, st.selector...),\n 356→\t\t\t\tValue: metric.Value,\n 357→\t\t\t\tTimestamp: time,\n 358→\t\t\t}\n 359→\t\t}\n 360→\n 361→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n 362→\t\t\treturn err\n 363→\t\t}\n 364→\t}\n 365→\treturn nil\n 366→}\n 367→"}]},"uuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","timestamp":"2026-03-13T06:51:39.255Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":367,"startLine":1,"totalLines":367}},"sourceToolAssistantUUID":"e77a0811-b490-4192-92c6-cdb285981ce5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JAQD1WnGapbNbL9C3hopCB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","timestamp":"2026-03-13T06:51:39.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","toolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","timestamp":"2026-03-13T06:51:39.714Z","uuid":"f0688715-d064-4b56-8609-78937e42856d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JAQD1WnGapbNbL9C3hopCB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n 7→//\n 8→// # Level Architecture\n 9→//\n 10→// The Level type forms a tree structure where each node represents a level in the\n 11→// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n 12→// nodes for memory domains and accelerators.\n 13→//\n 14→// Structure:\n 15→//\n 16→//\tRoot Level (cluster=\"emmy\")\n 17→//\t├─ Level (host=\"node001\")\n 18→//\t│ ├─ Level (socket=\"0\")\n 19→//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n 20→//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n 21→//\t│ └─ Level (socket=\"1\")\n 22→//\t│ └─ ...\n 23→//\t└─ Level (host=\"node002\")\n 24→//\t └─ ...\n 25→//\n 26→// Each Level can:\n 27→// - Hold data (metrics slice of buffer pointers)\n 28→// - Have child nodes (children map[string]*Level)\n 29→// - Both simultaneously (inner nodes can store aggregated metrics)\n 30→//\n 31→// # Selector Paths\n 32→//\n 33→// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n 34→// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n 35→//\n 36→// # Concurrency\n 37→//\n 38→// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n 39→// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n 40→// prevents races during level creation.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"sync\"\n 45→\t\"time\"\n 46→\t\"unsafe\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 50→)\n 51→\n 52→// Level represents a node in the hierarchical metric storage tree.\n 53→//\n 54→// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n 55→// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n 56→// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n 57→//\n 58→// Fields:\n 59→// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n 60→// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n 61→// - lock: RWMutex for concurrent access (read-heavy, write-rare)\n 62→type Level struct {\n 63→\tchildren map[string]*Level\n 64→\tmetrics []*buffer\n 65→\tlock sync.RWMutex\n 66→}\n 67→\n 68→// findLevelOrCreate navigates to or creates the level specified by selector.\n 69→//\n 70→// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n 71→// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n 72→// re-check after acquiring Lock to handle races.\n 73→//\n 74→// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n 75→// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n 76→//\n 77→// Parameters:\n 78→// - selector: Hierarchical path (consumed recursively, decreasing depth)\n 79→// - nMetrics: Number of metric slots to allocate in new levels\n 80→//\n 81→// Returns:\n 82→// - *Level: The target level (existing or newly created)\n 83→//\n 84→// Note: sync.Map may improve performance for high-concurrency writes, but current\n 85→// approach suffices for read-heavy workload.\n 86→func (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n 87→\tif len(selector) == 0 {\n 88→\t\treturn l\n 89→\t}\n 90→\n 91→\t// Allow concurrent reads:\n 92→\tl.lock.RLock()\n 93→\tvar child *Level\n 94→\tvar ok bool\n 95→\tif l.children == nil {\n 96→\t\t// Children map needs to be created...\n 97→\t\tl.lock.RUnlock()\n 98→\t} else {\n 99→\t\tchild, ok = l.children[selector[0]]\n 100→\t\tl.lock.RUnlock()\n 101→\t\tif ok {\n 102→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 103→\t\t}\n 104→\t}\n 105→\n 106→\t// The level does not exist, take write lock for unique access:\n 107→\tl.lock.Lock()\n 108→\t// While this thread waited for the write lock, another thread\n 109→\t// could have created the child node.\n 110→\tif l.children != nil {\n 111→\t\tchild, ok = l.children[selector[0]]\n 112→\t\tif ok {\n 113→\t\t\tl.lock.Unlock()\n 114→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 115→\t\t}\n 116→\t}\n 117→\n 118→\tchild = &Level{\n 119→\t\tmetrics: make([]*buffer, nMetrics),\n 120→\t\tchildren: nil,\n 121→\t}\n 122→\n 123→\tif l.children != nil {\n 124→\t\tl.children[selector[0]] = child\n 125→\t} else {\n 126→\t\tl.children = map[string]*Level{selector[0]: child}\n 127→\t}\n 128→\tl.lock.Unlock()\n 129→\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 130→}\n 131→\n 132→// collectPaths gathers all selector paths at the specified depth in the tree.\n 133→//\n 134→// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n 135→// Each path is a selector that can be used with findLevel() or findBuffers().\n 136→//\n 137→// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n 138→// unintended mutations.\n 139→//\n 140→// Parameters:\n 141→// - currentDepth: Depth of current level (0 = root)\n 142→// - targetDepth: Depth to collect paths from\n 143→// - currentPath: Path accumulated so far\n 144→// - results: Output slice (appended to)\n 145→//\n 146→// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n 147→// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\n 148→func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n 149→\tl.lock.RLock()\n 150→\tdefer l.lock.RUnlock()\n 151→\n 152→\tfor key, child := range l.children {\n 153→\t\tif child == nil {\n 154→\t\t\tcontinue\n 155→\t\t}\n 156→\n 157→\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n 158→\t\tnewPath := make([]string, len(currentPath))\n 159→\t\tcopy(newPath, currentPath)\n 160→\t\tnewPath = append(newPath, key)\n 161→\n 162→\t\t// Check depth, and just return if depth reached\n 163→\t\tif currentDepth+1 == targetDepth {\n 164→\t\t\t*results = append(*results, newPath)\n 165→\t\t} else {\n 166→\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n 167→\t\t}\n 168→\t}\n 169→}\n 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor _, l := range l.children {\n 204→\t\tm, err := l.free(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t}\n 210→\n 211→\treturn n, nil\n 212→}\n 213→\n 214→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 215→//\n 216→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 217→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 218→// exceeded and time-based retention is insufficient.\n 219→//\n 220→// Recursively processes current level's metrics and all child levels.\n 221→//\n 222→// Returns:\n 223→// - int: Total number of buffers freed in this subtree\n 224→// - error: Non-nil on failure (propagated from children)\n 225→func (l *Level) forceFree() (int, error) {\n 226→\tl.lock.Lock()\n 227→\tdefer l.lock.Unlock()\n 228→\n 229→\tn := 0\n 230→\n 231→\t// Iterate over metrics in the current level\n 232→\tfor i, b := range l.metrics {\n 233→\t\tif b != nil {\n 234→\t\t\t// Attempt to free the oldest buffer in this chain\n 235→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 236→\t\t\tn += freedCount\n 237→\n 238→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 239→\t\t\t// and needs to be removed from the slice.\n 240→\t\t\tif delme {\n 241→\t\t\t\tb.next = nil\n 242→\t\t\t\tb.prev = nil\n 243→\t\t\t\tif cap(b.data) != BufferCap {\n 244→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 245→\t\t\t\t}\n 246→\t\t\t\tb.lastUsed = time.Now().Unix()\n 247→\t\t\t\tbufferPool.Put(b)\n 248→\t\t\t\tl.metrics[i] = nil\n 249→\t\t\t}\n 250→\t\t}\n 251→\t}\n 252→\n 253→\t// Recursively traverse children\n 254→\tfor _, child := range l.children {\n 255→\t\tm, err := child.forceFree()\n 256→\t\tn += m\n 257→\t\tif err != nil {\n 258→\t\t\treturn n, err\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, nil\n 263→}\n 264→\n 265→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 266→//\n 267→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 268→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 269→// memory cap limits.\n 270→//\n 271→// Returns:\n 272→// - int64: Total bytes used by buffer data in this subtree\n 273→func (l *Level) sizeInBytes() int64 {\n 274→\tl.lock.RLock()\n 275→\tdefer l.lock.RUnlock()\n 276→\tsize := int64(0)\n 277→\n 278→\tfor _, b := range l.metrics {\n 279→\t\tif b != nil {\n 280→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 281→\t\t}\n 282→\t}\n 283→\n 284→\tfor _, child := range l.children {\n 285→\t\tsize += child.sizeInBytes()\n 286→\t}\n 287→\n 288→\treturn size\n 289→}\n 290→\n 291→// findLevel navigates to the level specified by selector, returning nil if not found.\n 292→//\n 293→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 294→// Recursively descends the tree following the selector path.\n 295→//\n 296→// Parameters:\n 297→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 298→//\n 299→// Returns:\n 300→// - *Level: The target level, or nil if any component in the path does not exist\n 301→func (l *Level) findLevel(selector []string) *Level {\n 302→\tif len(selector) == 0 {\n 303→\t\treturn l\n 304→\t}\n 305→\n 306→\tl.lock.RLock()\n 307→\tdefer l.lock.RUnlock()\n 308→\n 309→\tlvl := l.children[selector[0]]\n 310→\tif lvl == nil {\n 311→\t\treturn nil\n 312→\t}\n 313→\n 314→\treturn lvl.findLevel(selector[1:])\n 315→}\n 316→\n 317→// findBuffers invokes callback on all buffers matching the selector pattern.\n 318→//\n 319→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 320→// - Exact match: Selector element with String set (e.g., \"node001\")\n 321→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 322→// - Wildcard: Selector element with Any=true (matches all children)\n 323→//\n 324→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 325→// all descendant buffers at the same offset (used for aggregation queries).\n 326→//\n 327→// Parameters:\n 328→// - selector: Pattern to match (consumed recursively)\n 329→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 330→// - f: Callback invoked on each matching buffer\n 331→//\n 332→// Returns:\n 333→// - error: First error returned by callback, or nil if all succeeded\n 334→//\n 335→// Example:\n 336→//\n 337→//\t// Find all cpu0 buffers across all hosts:\n 338→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 339→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 340→\tl.lock.RLock()\n 341→\tdefer l.lock.RUnlock()\n 342→\n 343→\tif len(selector) == 0 {\n 344→\t\tb := l.metrics[offset]\n 345→\t\tif b != nil {\n 346→\t\t\treturn f(b)\n 347→\t\t}\n 348→\n 349→\t\tfor _, lvl := range l.children {\n 350→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 351→\t\t\tif err != nil {\n 352→\t\t\t\treturn err\n 353→\t\t\t}\n 354→\t\t}\n 355→\t\treturn nil\n 356→\t}\n 357→\n 358→\tsel := selector[0]\n 359→\tif len(sel.String) != 0 && l.children != nil {\n 360→\t\tlvl, ok := l.children[sel.String]\n 361→\t\tif ok {\n 362→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 363→\t\t\tif err != nil {\n 364→\t\t\t\treturn err\n 365→\t\t\t}\n 366→\t\t}\n 367→\t\treturn nil\n 368→\t}\n 369→\n 370→\tif sel.Group != nil && l.children != nil {\n 371→\t\tfor _, key := range sel.Group {\n 372→\t\t\tlvl, ok := l.children[key]\n 373→\t\t\tif ok {\n 374→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 375→\t\t\t\tif err != nil {\n 376→\t\t\t\t\treturn err\n 377→\t\t\t\t}\n 378→\t\t\t}\n 379→\t\t}\n 380→\t\treturn nil\n 381→\t}\n 382→\n 383→\tif sel.Any && l.children != nil {\n 384→\t\tfor _, lvl := range l.children {\n 385→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 386→\t\t\t\treturn err\n 387→\t\t\t}\n 388→\t\t}\n 389→\t\treturn nil\n 390→\t}\n 391→\n 392→\treturn nil\n 393→}\n 394→"}]},"uuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","timestamp":"2026-03-13T06:51:39.714Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","numLines":394,"startLine":1,"totalLines":394}},"sourceToolAssistantUUID":"c9c1e733-70ea-45bf-8b1c-0af084380e92","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N58SqTvoihL8LCJnL8EAKP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"output_tokens":374,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4536,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"46ca9b63-5718-455b-abef-764e1ad29322","timestamp":"2026-03-13T06:51:39.738Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","toolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","timestamp":"2026-03-13T06:51:39.743Z","uuid":"83bedfe3-dc88-4705-bb59-9d7516cca22e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N58SqTvoihL8LCJnL8EAKP","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides buffer.go: Time-series data buffer implementation.\n 7→//\n 8→// # Buffer Architecture\n 9→//\n 10→// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n 11→// chain of fixed-size buffers to store time-series data. This design:\n 12→//\n 13→// - Avoids reallocation/copying when growing (new links added instead)\n 14→// - Enables efficient pooling (buffers returned to sync.Pool)\n 15→// - Supports traversal back in time (via prev pointers)\n 16→// - Maintains temporal ordering (newer data in later buffers)\n 17→//\n 18→// # Buffer Chain Example\n 19→//\n 20→//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n 21→//\t start=1000 start=1512 start=2024\n 22→//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n 23→//\n 24→// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n 25→// the new head and the old head is linked via prev.\n 26→//\n 27→// # Pooling Strategy\n 28→//\n 29→// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n 30→// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n 31→//\n 32→// # Time Alignment\n 33→//\n 34→// Timestamps are aligned to measurement frequency intervals:\n 35→//\n 36→//\tindex = (timestamp - buffer.start) / buffer.frequency\n 37→//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n 38→//\n 39→// Missing data points are represented as NaN values. The read() function performs\n 40→// linear interpolation where possible.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"errors\"\n 45→\t\"sync\"\n 46→\t\"time\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→)\n 50→\n 51→// BufferCap is the default buffer capacity.\n 52→// buffer.data will only ever grow up to its capacity and a new link\n 53→// in the buffer chain will be created if needed so that no copying\n 54→// of data or reallocation needs to happen on writes.\n 55→const BufferCap int = DefaultBufferCapacity\n 56→\n 57→// BufferPool is the global instance.\n 58→// It is initialized immediately when the package loads.\n 59→var bufferPool = NewPersistentBufferPool()\n 60→\n 61→type PersistentBufferPool struct {\n 62→\tpool []*buffer\n 63→\tmu sync.Mutex\n 64→}\n 65→\n 66→// NewPersistentBufferPool creates a dynamic pool for buffers.\n 67→func NewPersistentBufferPool() *PersistentBufferPool {\n 68→\treturn &PersistentBufferPool{\n 69→\t\tpool: make([]*buffer, 0),\n 70→\t}\n 71→}\n 72→\n 73→func (p *PersistentBufferPool) Get() *buffer {\n 74→\tp.mu.Lock()\n 75→\tdefer p.mu.Unlock()\n 76→\n 77→\tn := len(p.pool)\n 78→\tif n == 0 {\n 79→\t\t// Pool is empty, allocate a new one\n 80→\t\treturn &buffer{\n 81→\t\t\tdata: make([]schema.Float, 0, BufferCap),\n 82→\t\t}\n 83→\t}\n 84→\n 85→\t// Reuse existing buffer from the pool\n 86→\tb := p.pool[n-1]\n 87→\tp.pool[n-1] = nil // Avoid memory leak\n 88→\tp.pool = p.pool[:n-1]\n 89→\treturn b\n 90→}\n 91→\n 92→// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n 93→// before calling Put so that Clean() can evict idle entries correctly.\n 94→func (p *PersistentBufferPool) Put(b *buffer) {\n 95→\t// Reset the buffer before putting it back\n 96→\tb.data = b.data[:0]\n 97→\n 98→\tp.mu.Lock()\n 99→\tdefer p.mu.Unlock()\n 100→\n 101→\tp.pool = append(p.pool, b)\n 102→}\n 103→\n 104→// GetSize returns the exact number of buffers currently sitting in the pool.\n 105→func (p *PersistentBufferPool) GetSize() int {\n 106→\tp.mu.Lock()\n 107→\tdefer p.mu.Unlock()\n 108→\treturn len(p.pool)\n 109→}\n 110→\n 111→// Clear drains all buffers currently in the pool, allowing the GC to collect them.\n 112→func (p *PersistentBufferPool) Clear() {\n 113→\tp.mu.Lock()\n 114→\tdefer p.mu.Unlock()\n 115→\tfor i := range p.pool {\n 116→\t\tp.pool[i] = nil\n 117→\t}\n 118→\tp.pool = p.pool[:0]\n 119→}\n 120→\n 121→// Clean removes buffers from the pool that haven't been used in the given duration.\n 122→// It uses a simple LRU approach based on the lastUsed timestamp.\n 123→func (p *PersistentBufferPool) Clean(threshold int64) {\n 124→\tp.mu.Lock()\n 125→\tdefer p.mu.Unlock()\n 126→\n 127→\t// Filter in place, retaining only buffers returned to the pool recently enough.\n 128→\tactive := p.pool[:0]\n 129→\tfor _, b := range p.pool {\n 130→\t\tif b.lastUsed >= threshold {\n 131→\t\t\tactive = append(active, b)\n 132→\t\t}\n 133→\t}\n 134→\n 135→\t// Nullify the rest to prevent memory leaks\n 136→\tfor i := len(active); i < len(p.pool); i++ {\n 137→\t\tp.pool[i] = nil\n 138→\t}\n 139→\n 140→\tp.pool = active\n 141→}\n 142→\n 143→var (\n 144→\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n 145→\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n 146→\n 147→\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n 148→\t// does not align with the parent scope's expected timestamps/intervals.\n 149→\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n 150→)\n 151→\n 152→// buffer stores time-series data for a single metric at a specific hierarchical level.\n 153→//\n 154→// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n 155→// a new buffer becomes the head and the old head is linked via prev/next.\n 156→//\n 157→// Fields:\n 158→// - prev: Link to older buffer in the chain (nil if this is oldest)\n 159→// - next: Link to newer buffer in the chain (nil if this is newest/head)\n 160→// - data: Time-series values (schema.Float supports NaN for missing data)\n 161→// - frequency: Measurement interval in seconds\n 162→// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n 163→// - archived: True if data has been persisted to disk archive\n 164→// - closed: True if buffer is no longer accepting writes\n 165→//\n 166→// Index calculation: index = (timestamp - start) / frequency\n 167→// Actual data timestamp: start + (frequency / 2) + (index * frequency)\n 168→type buffer struct {\n 169→\tprev *buffer\n 170→\tnext *buffer\n 171→\tdata []schema.Float\n 172→\tfrequency int64\n 173→\tstart int64\n 174→\tarchived bool\n 175→\tclosed bool\n 176→\tlastUsed int64\n 177→}\n 178→\n 179→func newBuffer(ts, freq int64) *buffer {\n 180→\tb := bufferPool.Get()\n 181→\tb.frequency = freq\n 182→\tb.start = ts - (freq / 2)\n 183→\tb.prev = nil\n 184→\tb.next = nil\n 185→\tb.archived = false\n 186→\tb.closed = false\n 187→\tb.data = b.data[:0]\n 188→\treturn b\n 189→}\n 190→\n 191→// write appends a timestamped value to the buffer chain.\n 192→//\n 193→// Returns the head buffer (which may be newly created if capacity was reached).\n 194→// Timestamps older than the buffer's start are rejected. If the calculated index\n 195→// exceeds capacity, a new buffer is allocated and linked as the new head.\n 196→//\n 197→// Missing timestamps are automatically filled with NaN values to maintain alignment.\n 198→// Overwrites are allowed if the index is already within the existing data slice.\n 199→//\n 200→// Parameters:\n 201→// - ts: Unix timestamp in seconds\n 202→// - value: Metric value (can be schema.NaN for missing data)\n 203→//\n 204→// Returns:\n 205→// - *buffer: The new head buffer (same as b if no new buffer created)\n 206→// - error: Non-nil if timestamp is before buffer start\n 207→func (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n 208→\tif ts < b.start {\n 209→\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n 210→\t}\n 211→\n 212→\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n 213→\tidx := int((ts - b.start) / b.frequency)\n 214→\tif idx >= cap(b.data) {\n 215→\t\tnewbuf := newBuffer(ts, b.frequency)\n 216→\t\tnewbuf.prev = b\n 217→\t\tb.next = newbuf\n 218→\t\tb = newbuf\n 219→\t\tidx = 0\n 220→\t}\n 221→\n 222→\t// Overwriting value or writing value from past\n 223→\tif idx < len(b.data) {\n 224→\t\tb.data[idx] = value\n 225→\t\treturn b, nil\n 226→\t}\n 227→\n 228→\t// Fill up unwritten slots with NaN\n 229→\tfor i := len(b.data); i < idx; i++ {\n 230→\t\tb.data = append(b.data, schema.NaN)\n 231→\t}\n 232→\n 233→\tb.data = append(b.data, value)\n 234→\treturn b, nil\n 235→}\n 236→\n 237→func (b *buffer) end() int64 {\n 238→\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n 239→}\n 240→\n 241→func (b *buffer) firstWrite() int64 {\n 242→\treturn b.start + (b.frequency / 2)\n 243→}\n 244→\n 245→// read retrieves time-series data from the buffer chain for the specified time range.\n 246→//\n 247→// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n 248→// buffer's start. Missing data points are represented as NaN. Values are accumulated\n 249→// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n 250→//\n 251→// The function adjusts the actual time range returned if data is unavailable at the\n 252→// boundaries (returned via adjusted from/to timestamps).\n 253→//\n 254→// Parameters:\n 255→// - from: Start timestamp (Unix seconds)\n 256→// - to: End timestamp (Unix seconds, exclusive)\n 257→// - data: Pre-allocated slice to accumulate results (must be large enough)\n 258→//\n 259→// Returns:\n 260→// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n 261→// - int64: Actual start timestamp with available data\n 262→// - int64: Actual end timestamp (exclusive)\n 263→// - error: Non-nil on failure\n 264→//\n 265→// Panics if 'data' slice is too small to hold all values in [from, to).\n 266→func (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n 267→\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n 268→\tfor from < b.firstWrite() {\n 269→\t\tif b.prev == nil {\n 270→\t\t\tfrom = b.firstWrite()\n 271→\t\t\tbreak\n 272→\t\t}\n 273→\t\tb = b.prev\n 274→\t}\n 275→\n 276→\ti := 0\n 277→\tt := from\n 278→\tfor ; t < to; t += b.frequency {\n 279→\t\tidx := int((t - b.start) / b.frequency)\n 280→\t\tif idx >= cap(b.data) {\n 281→\t\t\tif b.next == nil {\n 282→\t\t\t\tbreak\n 283→\t\t\t}\n 284→\t\t\tb = b.next\n 285→\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n 286→\t\t\tidx = int((t - b.start) / b.frequency)\n 287→\t\t}\n 288→\n 289→\t\tif idx >= len(b.data) {\n 290→\t\t\tif b.next == nil || to <= b.next.start {\n 291→\t\t\t\tbreak\n 292→\t\t\t}\n 293→\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n 294→\t\t} else if t < b.start {\n 295→\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n 296→\t\t} else {\n 297→\t\t\tdata[i] += b.data[idx]\n 298→\t\t}\n 299→\t\ti++\n 300→\t}\n 301→\n 302→\treturn data[:i], from, t, nil\n 303→}\n 304→\n 305→// free removes buffers older than the specified timestamp from the chain.\n 306→//\n 307→// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n 308→// is before the retention threshold. Freed buffers are returned to the pool if\n 309→// they have the standard capacity (BufferCap).\n 310→//\n 311→// Parameters:\n 312→// - t: Retention threshold timestamp (Unix seconds)\n 313→//\n 314→// Returns:\n 315→// - delme: True if the current buffer itself should be deleted by caller\n 316→// - n: Number of buffers freed in this subtree\n 317→func (b *buffer) free(t int64) (delme bool, n int) {\n 318→\tif b.prev != nil {\n 319→\t\tdelme, m := b.prev.free(t)\n 320→\t\tn += m\n 321→\t\tif delme {\n 322→\t\t\tb.prev.next = nil\n 323→\t\t\tif cap(b.prev.data) != BufferCap {\n 324→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 325→\t\t\t}\n 326→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 327→\t\t\tbufferPool.Put(b.prev)\n 328→\t\t\tb.prev = nil\n 329→\t\t}\n 330→\t}\n 331→\n 332→\tend := b.end()\n 333→\tif end < t {\n 334→\t\treturn true, n + 1\n 335→\t}\n 336→\n 337→\treturn false, n\n 338→}\n 339→\n 340→// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n 341→// and removes it.\n 342→// Returns:\n 343→//\n 344→//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n 345→//\tn: the number of buffers freed (will be 1 or 0)\n 346→func (b *buffer) forceFreeOldest() (delme bool, n int) {\n 347→\t// If there is a previous buffer, recurse down to find the oldest\n 348→\tif b.prev != nil {\n 349→\t\tdelPrev, freed := b.prev.forceFreeOldest()\n 350→\n 351→\t\t// If the previous buffer signals it should be deleted:\n 352→\t\tif delPrev {\n 353→\t\t\tb.prev.next = nil\n 354→\t\t\tif cap(b.prev.data) != BufferCap {\n 355→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 356→\t\t\t}\n 357→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 358→\t\t\tbufferPool.Put(b.prev)\n 359→\t\t\tb.prev = nil\n 360→\t\t}\n 361→\t\treturn false, freed\n 362→\t}\n 363→\n 364→\t// If b.prev is nil, THIS buffer is the oldest.\n 365→\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n 366→\treturn true, 1\n 367→}\n 368→\n 369→// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n 370→//\n 371→// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n 372→// the time range. Used for checkpoint/archive operations that need to serialize buffers\n 373→// within a specific time window.\n 374→//\n 375→// Parameters:\n 376→// - from: Start timestamp (Unix seconds, inclusive)\n 377→// - to: End timestamp (Unix seconds, inclusive)\n 378→// - callback: Function to invoke on each overlapping buffer\n 379→//\n 380→// Returns:\n 381→// - error: First error returned by callback, or nil if all succeeded\n 382→func (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n 383→\tif b == nil {\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\t// Collect overlapping buffers walking backwards (newest → oldest).\n 388→\tvar matching []*buffer\n 389→\tfor cur := b; cur != nil; cur = cur.prev {\n 390→\t\tif from <= cur.end() && cur.start <= to {\n 391→\t\t\tmatching = append(matching, cur)\n 392→\t\t}\n 393→\t}\n 394→\n 395→\t// Invoke callback in chronological order (oldest → newest).\n 396→\tfor i := len(matching) - 1; i >= 0; i-- {\n 397→\t\tif err := callback(matching[i]); err != nil {\n 398→\t\t\treturn err\n 399→\t\t}\n 400→\t}\n 401→\treturn nil\n 402→}\n 403→\n 404→func (b *buffer) count() int64 {\n 405→\tvar res int64\n 406→\tfor ; b != nil; b = b.prev {\n 407→\t\tres += int64(len(b.data))\n 408→\t}\n 409→\treturn res\n 410→}\n 411→"}]},"uuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","timestamp":"2026-03-13T06:51:39.743Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","numLines":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"46ca9b63-5718-455b-abef-764e1ad29322","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"358f7334-4be3-4578-ab6d-e87436f37252","timestamp":"2026-03-13T06:51:45.286Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"358f7334-4be3-4578-ab6d-e87436f37252","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement all changes.\n\n**1. config.go** — Reduce default check interval:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","timestamp":"2026-03-13T06:51:46.333Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","old_string":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","new_string":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"output_tokens":325,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":29856,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","timestamp":"2026-03-13T06:51:47.879Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"type":"file-history-snapshot","messageId":"0998dbf5-feda-4d6e-89d1-49a9d9718560","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} {"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","toolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","timestamp":"2026-03-13T06:51:47.910Z","uuid":"49d291be-cc2e-44d9-95bf-3f9ec37ed042","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go has been updated successfully."}]},"uuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","timestamp":"2026-03-13T06:51:47.910Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","oldString":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","newString":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","structuredPatch":[{"oldStart":53,"oldLines":7,"newStart":53,"newLines":7,"lines":[" DefaultMaxWorkers = 10"," DefaultBufferCapacity = 512"," DefaultGCTriggerInterval = 100","- DefaultMemoryUsageTrackerInterval = 1 * time.Hour","+ DefaultMemoryUsageTrackerInterval = 5 * time.Minute"," )"," "," // Checkpoints configures periodic persistence of in-memory metric data."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0998dbf5-feda-4d6e-89d1-49a9d9718560","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"text","text":"**2. lineprotocol.go** — Don't abort batch on write error, log and continue:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":385},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","timestamp":"2026-03-13T06:51:49.837Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","new_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"output_tokens":257,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":385,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","timestamp":"2026-03-13T06:51:52.782Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"type":"file-history-snapshot","messageId":"df4037d3-6a82-4eea-9bae-efbec8eacebe","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} {"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","toolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","timestamp":"2026-03-13T06:51:52.791Z","uuid":"d415e976-d130-4af7-855e-8760012bba7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","timestamp":"2026-03-13T06:51:52.791Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","newString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":359,"oldLines":7,"newStart":359,"newLines":8,"lines":[" }"," "," if err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {","- return err","+ cclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())","+ continue"," }"," }"," return nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"df4037d3-6a82-4eea-9bae-efbec8eacebe","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"text","text":"**3. buffer.go** — Add `bufferCount()` helper:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":435},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","timestamp":"2026-03-13T06:52:00.409Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","old_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","new_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"output_tokens":322,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":435,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","timestamp":"2026-03-13T06:52:02.826Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"type":"file-history-snapshot","messageId":"9f470e40-bc08-4d81-9d05-919e75bd7284","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"},"pkg/metricstore/buffer.go":{"backupFileName":"d475bbab9788168b@v1","version":1,"backupTime":"2026-03-13T06:52:02.842Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} {"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","toolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","timestamp":"2026-03-13T06:52:02.843Z","uuid":"1714fa7b-f920-4b06-aa79-c01a593a5e49","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go has been updated successfully."}]},"uuid":"06ea9a13-f087-42df-89de-e75b9ce34515","timestamp":"2026-03-13T06:52:02.843Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","oldString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","newString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","structuredPatch":[{"oldStart":408,"oldLines":3,"newStart":408,"newLines":12,"lines":[" }"," return res"," }","+","+// bufferCount returns the number of buffer nodes in the linked list.","+func (b *buffer) bufferCount() int64 {","+ var n int64","+ for ; b != nil; b = b.prev {","+ n++","+ }","+ return n","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f470e40-bc08-4d81-9d05-919e75bd7284","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"06ea9a13-f087-42df-89de-e75b9ce34515","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0148yKKvBB2duXwfUCJsPt9j","type":"message","role":"assistant","content":[{"type":"text","text":"**4. level.go** — Prune empty children after free, improve 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{"parentUuid":"79198516-71fc-4424-a312-b44632b3f87f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0148yKKvBB2duXwfUCJsPt9j","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UUn8nhAqXAbzCAkQAaoti6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 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successfully."}]},"uuid":"2c115c86-2837-48cb-a488-549d6c9e16b0","timestamp":"2026-03-13T06:52:12.145Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":200,"oldLines":17,"newStart":200,"newLines":33,"lines":[" }"," }"," ","- for _, l := range l.children {","- m, err := l.free(t)","+ for key, child := range l.children {","+ m, err := child.free(t)"," n += m"," if err != nil {"," return n, err"," }","+ if child.isEmpty() {","+ delete(l.children, key)","+ }"," }"," "," return n, nil"," }"," ","+// isEmpty returns true if this level has no metrics and no children.","+func (l *Level) isEmpty() bool {","+ l.lock.RLock()","+ defer l.lock.RUnlock()","+","+ for _, b := range l.metrics {","+ if b != nil {","+ return false","+ }","+ }","+ return len(l.children) == 0","+}","+"," // forceFree removes the oldest buffer from each metric chain in the subtree."," //"," // Unlike free(), which removes based on time threshold, this unconditionally removes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e7c1f488-8287-43d2-8f41-e704e8d3563b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":822,"cache_read_input_tokens":49906,"output_tokens":415,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":822,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdvH9ZoSMKePBnmHuNN","type":"assistant","uuid":"597a6c95-8bc4-4b55-8960-79d4f9581a34","timestamp":"2026-03-13T06:52:22.604Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"597a6c95-8bc4-4b55-8960-79d4f9581a34","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018b9ZTo5FhomDhCXaWfySpK","toolUseID":"toolu_018b9ZTo5FhomDhCXaWfySpK","timestamp":"2026-03-13T06:52:22.642Z","uuid":"839a7489-6687-48f1-b862-033431bd99e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"597a6c95-8bc4-4b55-8960-79d4f9581a34","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018b9ZTo5FhomDhCXaWfySpK","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"a57b2a05-b6a2-46cb-aabe-9e36d29d0598","timestamp":"2026-03-13T06:52:22.642Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","newString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":294,"oldLines":6,"newStart":294,"newLines":7,"lines":[" for _, b := range l.metrics {"," if b != nil {"," size += b.count() * int64(unsafe.Sizeof(schema.Float(0)))","+ size += b.bufferCount() * 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MemoryUsageTracker:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":460,"cache_read_input_tokens":50728,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":460},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdw4KBHE4qmGNhsGS6K","type":"assistant","uuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","timestamp":"2026-03-13T06:52:24.827Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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{"parentUuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XukQEEktXeTjhSSjzx7Zxx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ashwzcCazMi5NjaQ8jh18","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","old_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","new_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":460,"cache_read_input_tokens":50728,"output_tokens":2392,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":460,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdw4KBHE4qmGNhsGS6K","type":"assistant","uuid":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","timestamp":"2026-03-13T06:52:51.536Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018ashwzcCazMi5NjaQ8jh18","toolUseID":"toolu_018ashwzcCazMi5NjaQ8jh18","timestamp":"2026-03-13T06:52:51.568Z","uuid":"08900509-1649-499b-a79f-73efa2c5e2ba","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ashwzcCazMi5NjaQ8jh18","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go has been updated successfully."}]},"uuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","timestamp":"2026-03-13T06:52:51.567Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","newString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":384,"oldLines":14,"newStart":384,"newLines":16,"lines":[" ms := GetMemoryStore()"," "," wg.Go(func() {","- d := DefaultMemoryUsageTrackerInterval","+ normalInterval := DefaultMemoryUsageTrackerInterval","+ fastInterval := 30 * time.Second"," ","- if d <= 0 {","+ if normalInterval <= 0 {"," return"," }"," ","- ticker := time.NewTicker(d)","+ ticker := time.NewTicker(normalInterval)"," defer ticker.Stop()","+ currentInterval := normalInterval"," "," for {"," select {"]},{"oldStart":428,"oldLines":48,"newStart":430,"newLines":59,"lines":[" runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," ","- bufferPool.Clear()","- cclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")","-"," if actualMemoryGB > float64(Keys.MemoryCap) {"," cclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)"," ","- const maxIterations = 100","+ // Use progressive time-based Free with increasing threshold","+ // instead of ForceFree loop — fewer tree traversals, more effective","+ d, parseErr := time.ParseDuration(Keys.RetentionInMemory)","+ if parseErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)","+ } else {","+ thresholds := []float64{0.75, 0.5, 0.25}","+ for _, fraction := range thresholds {","+ threshold := time.Now().Add(-time.Duration(float64(d) * fraction))","+ freed, freeErr := ms.Free(nil, threshold.Unix())","+ if freeErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)","+ }","+ freedEmergency += freed"," ","- for i := range maxIterations {","- if actualMemoryGB < float64(Keys.MemoryCap) {","- break","- }","-","- freed, err := ms.ForceFree()","- if err != nil {","- cclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)","- }","- if freed == 0 {","- cclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","- break","- }","- freedEmergency += freed","-","- if i%10 == 0 && freedEmergency > 0 {","+ bufferPool.Clear()","+ runtime.GC()"," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9","+","+ if actualMemoryGB < float64(Keys.MemoryCap) {","+ break","+ }"," }"," }"," ","- // if freedEmergency > 0 {","- // \tdebug.FreeOSMemory()","- // }","+ bufferPool.Clear()","+ debug.FreeOSMemory()"," "," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," "," if actualMemoryGB >= float64(Keys.MemoryCap) {","- cclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","+ cclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)"," } else {"," cclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)"," }"," }","+","+ // Adaptive ticker: check more frequently when memory is high","+ memoryRatio := actualMemoryGB / float64(Keys.MemoryCap)","+ if memoryRatio > 0.8 && currentInterval != fastInterval {","+ ticker.Reset(fastInterval)","+ currentInterval = fastInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)","+ } else if memoryRatio <= 0.8 && currentInterval != normalInterval {","+ ticker.Reset(normalInterval)","+ currentInterval = normalInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)","+ }"," }"," }"," })"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"text","text":"Now let's verify it builds and tests pass:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2439,"cache_read_input_tokens":51188,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2439},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdyBkhwb286abxUADkc","type":"assistant","uuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","timestamp":"2026-03-13T06:52:53.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014sFKoaTqBsD9GE86zhJPsP","name":"Bash","input":{"command":"go build ./pkg/metricstore/...","description":"Build metricstore 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{"parentUuid":"92394a7c-8965-416a-b4c8-c99a9c505db1","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tz2bqQXkrkd7rgWoMefgbC","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.491s","is_error":false}]},"uuid":"0fb2b4ae-62a3-43b6-960b-263e60811913","timestamp":"2026-03-13T06:52:59.718Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.491s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"92394a7c-8965-416a-b4c8-c99a9c505db1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"0fb2b4ae-62a3-43b6-960b-263e60811913","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmpHVbjD7fUCSMKVaHxdAk","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of the changes:\n\n### Changes made:\n\n1. **`config.go:56`** — Reduced `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute` so memory is checked more frequently.\n\n2. **`lineprotocol.go:361-363`** — Changed `return err` to `cclog.Warn(...)` + `continue` so a single out-of-order timestamp no longer aborts the entire NATS batch. Remaining lines are still processed.\n\n3. **`metricstore.go:383-476`** (MemoryUsageTracker) — Three fixes:\n - **Removed premature `bufferPool.Clear()`** that ran every tick regardless of memory pressure (was preventing freed buffers from being reclaimed by GC since they went back to the pool immediately).\n - **Replaced the broken `ForceFree` loop** (100 iterations without clearing pool or GC = `mem.Alloc` never decreases) with **progressive `Free(nil, threshold)`** using 75%/50%/25% of retention time, with `bufferPool.Clear()` + `runtime.GC()` between each step so memory stats actually update.\n - **Added `debug.FreeOSMemory()`** after emergency freeing and **adaptive ticker** (30s when >80% of cap, normal interval otherwise).\n\n4. **`level.go:183-212`** — `free()` now **prunes empty children** from the map after freeing their buffers. Added `isEmpty()` helper. Also improved `sizeInBytes()` to count buffer struct overhead (`unsafe.Sizeof(buffer{})` per node in the linked list), not just float data.\n\n5. **`buffer.go:413-419`** — Added `bufferCount()` helper that counts linked-list nodes for the overhead calculation."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":138,"cache_read_input_tokens":53848,"output_tokens":453,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":138,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdynVzzisnz4TkLSzvc","type":"assistant","uuid":"4abc5754-3474-4365-b2a3-61c325fabf9d","timestamp":"2026-03-13T06:53:12.801Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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{"parentUuid":"cfbea3ac-a693-477f-ab27-621bd8dd3a89","isSidechain":false,"promptId":"3dee3a02-b0d9-414b-ba07-3fb96a789b6f","type":"user","message":{"role":"user","content":"commit it"},"uuid":"c2b3616c-f182-4c9c-8e7f-06fe93f8996b","timestamp":"2026-03-13T06:57:19.001Z","permissionMode":"acceptEdits","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"c2b3616c-f182-4c9c-8e7f-06fe93f8996b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017Heu7JmiA2vg5kjXGY8W15","name":"Bash","input":{"command":"git status","description":"Show working tree 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not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","timestamp":"2026-03-13T06:57:22.192Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is up to date with 'origin/hotfix'.\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"309e5df8-b269-48be-ae5a-b3669cb6d19c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017sinVFJhGoMH6oBwooJU6L","name":"Bash","input":{"command":"git diff","description":"Show staged and unstaged changes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":53986,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzeJwWGK8YaKZLMwUu4j","type":"assistant","uuid":"7eb73571-ee2a-400d-b4af-b1adbcc10588","timestamp":"2026-03-13T06:57:22.628Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"7eb73571-ee2a-400d-b4af-b1adbcc10588","isSidechain":false,"promptId":"3dee3a02-b0d9-414b-ba07-3fb96a789b6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017sinVFJhGoMH6oBwooJU6L","type":"tool_result","content":"diff --git a/internal/repository/jobCreate.go b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n \t})","is_error":false}]},"uuid":"4c5fcc00-6e6b-4f4d-a3b6-17974f9a0ec5","timestamp":"2026-03-13T06:57:22.687Z","toolUseResult":{"stdout":"diff --git a/internal/repository/jobCreate.go b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n 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commits"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":53986,"output_tokens":249,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeJwWGK8YaKZLMwUu4j","type":"assistant","uuid":"41343b67-7f69-49d7-a2d9-58392ce93086","timestamp":"2026-03-13T06:57:23.056Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"41343b67-7f69-49d7-a2d9-58392ce93086","isSidechain":false,"promptId":"3dee3a02-b0d9-414b-ba07-3fb96a789b6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YZHQdpMKJUvqon1DwtQ21R","type":"tool_result","content":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","is_error":false}]},"uuid":"30183768-6698-478e-b1dc-3a1c17be2a47","timestamp":"2026-03-13T06:57:23.094Z","toolUseResult":{"stdout":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"41343b67-7f69-49d7-a2d9-58392ce93086","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"30183768-6698-478e-b1dc-3a1c17be2a47","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"text","text":"Note: `internal/repository/jobCreate.go` has pre-existing changes (unrelated log level fix). I'll commit only the metricstore files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3601},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","timestamp":"2026-03-13T06:57:26.646Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} {"parentUuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D7sm5LtPELaC49u4eQDQ9R","name":"Bash","input":{"command":"git add pkg/metricstore/buffer.go pkg/metricstore/config.go pkg/metricstore/level.go pkg/metricstore/lineprotocol.go pkg/metricstore/metricstore.go && git commit -m \"$(cat <<'EOF'\nfix: Fix metricstore memory explosion from broken emergency free and batch aborts\n\n- Fix MemoryUsageTracker: remove premature bufferPool.Clear() that prevented\n mem.Alloc from decreasing, replace broken ForceFree loop (100 iterations\n with no GC) with progressive time-based Free at 75%/50%/25% retention,\n add bufferPool.Clear()+GC between steps so memory stats update correctly\n- Enable debug.FreeOSMemory() after emergency freeing to return memory to OS\n- Add adaptive ticker: 30s checks when memory >80% of cap, normal otherwise\n- Reduce default memory check interval from 1h to 5min\n- Don't abort entire NATS batch on single write error (out-of-order timestamp),\n log warning and continue processing remaining lines\n- Prune empty levels from tree after free() to reduce overhead\n- Include buffer struct overhead in sizeInBytes() for more accurate reporting\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\"","description":"Commit metricstore memory fix changes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"output_tokens":428,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3601,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"93380279-8b97-44fd-8203-5cb22c742e3d","timestamp":"2026-03-13T06:57:35.527Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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