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Jan Eitzinger 6d3187f1eb Checkpoint: b38dc35e5334 
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{"parentUuid":"b7a84e01-eae2-47f4-8f11-a4e2d0bc7e85","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\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/39705f8c-1691-4d60-b0aa-39f588ed9dcf.jsonl"},"uuid":"86090d3d-a25e-47c4-9400-11523820e0a0","timestamp":"2026-03-13T07:54:44.959Z","planContent":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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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 key, child := range l.children {\n 204→\t\tm, err := child.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\tif child.isEmpty() {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// isEmpty returns true if this level has no metrics and no children.\n 218→func (l *Level) isEmpty() bool {\n 219→\tl.lock.RLock()\n 220→\tdefer l.lock.RUnlock()\n 221→\n 222→\tfor _, b := range l.metrics {\n 223→\t\tif b != nil {\n 224→\t\t\treturn false\n 225→\t\t}\n 226→\t}\n 227→\treturn len(l.children) == 0\n 228→}\n 229→\n 230→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 231→//\n 232→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 233→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 234→// exceeded and time-based retention is insufficient.\n 235→//\n 236→// Recursively processes current level's metrics and all child levels.\n 237→//\n 238→// Returns:\n 239→// - int: Total number of buffers freed in this subtree\n 240→// - error: Non-nil on failure (propagated from children)\n 241→func (l *Level) forceFree() (int, error) {\n 242→\tl.lock.Lock()\n 243→\tdefer l.lock.Unlock()\n 244→\n 245→\tn := 0\n 246→\n 247→\t// Iterate over metrics in the current level\n 248→\tfor i, b := range l.metrics {\n 249→\t\tif b != nil {\n 250→\t\t\t// Attempt to free the oldest buffer in this chain\n 251→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 252→\t\t\tn += freedCount\n 253→\n 254→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 255→\t\t\t// and needs to be removed from the slice.\n 256→\t\t\tif delme {\n 257→\t\t\t\tb.next = nil\n 258→\t\t\t\tb.prev = nil\n 259→\t\t\t\tif cap(b.data) != BufferCap {\n 260→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 261→\t\t\t\t}\n 262→\t\t\t\tb.lastUsed = time.Now().Unix()\n 263→\t\t\t\tbufferPool.Put(b)\n 264→\t\t\t\tl.metrics[i] = nil\n 265→\t\t\t}\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Recursively traverse children\n 270→\tfor _, child := range l.children {\n 271→\t\tm, err := child.forceFree()\n 272→\t\tn += m\n 273→\t\tif err != nil {\n 274→\t\t\treturn n, err\n 275→\t\t}\n 276→\t}\n 277→\n 278→\treturn n, nil\n 279→}\n 280→\n 281→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 282→//\n 283→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 284→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 285→// memory cap limits.\n 286→//\n 287→// Returns:\n 288→// - int64: Total bytes used by buffer data in this subtree\n 289→func (l *Level) sizeInBytes() int64 {\n 290→\tl.lock.RLock()\n 291→\tdefer l.lock.RUnlock()\n 292→\tsize := int64(0)\n 293→\n 294→\tfor _, b := range l.metrics {\n 295→\t\tif b != nil {\n 296→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 297→\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n 298→\t\t}\n 299→\t}\n 300→\n 301→\tfor _, child := range l.children {\n 302→\t\tsize += child.sizeInBytes()\n 303→\t}\n 304→\n 305→\treturn size\n 306→}\n 307→\n 308→// findLevel navigates to the level specified by selector, returning nil if not found.\n 309→//\n 310→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 311→// Recursively descends the tree following the selector path.\n 312→//\n 313→// Parameters:\n 314→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 315→//\n 316→// Returns:\n 317→// - *Level: The target level, or nil if any component in the path does not exist\n 318→func (l *Level) findLevel(selector []string) *Level {\n 319→\tif len(selector) == 0 {\n 320→\t\treturn l\n 321→\t}\n 322→\n 323→\tl.lock.RLock()\n 324→\tdefer l.lock.RUnlock()\n 325→\n 326→\tlvl := l.children[selector[0]]\n 327→\tif lvl == nil {\n 328→\t\treturn nil\n 329→\t}\n 330→\n 331→\treturn lvl.findLevel(selector[1:])\n 332→}\n 333→\n 334→// findBuffers invokes callback on all buffers matching the selector pattern.\n 335→//\n 336→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 337→// - Exact match: Selector element with String set (e.g., \"node001\")\n 338→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 339→// - Wildcard: Selector element with Any=true (matches all children)\n 340→//\n 341→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 342→// all descendant buffers at the same offset (used for aggregation queries).\n 343→//\n 344→// Parameters:\n 345→// - selector: Pattern to match (consumed recursively)\n 346→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 347→// - f: Callback invoked on each matching buffer\n 348→//\n 349→// Returns:\n 350→// - error: First error returned by callback, or nil if all succeeded\n 351→//\n 352→// Example:\n 353→//\n 354→//\t// Find all cpu0 buffers across all hosts:\n 355→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 356→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 357→\tl.lock.RLock()\n 358→\tdefer l.lock.RUnlock()\n 359→\n 360→\tif len(selector) == 0 {\n 361→\t\tb := l.metrics[offset]\n 362→\t\tif b != nil {\n 363→\t\t\treturn f(b)\n 364→\t\t}\n 365→\n 366→\t\tfor _, lvl := range l.children {\n 367→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 368→\t\t\tif err != nil {\n 369→\t\t\t\treturn err\n 370→\t\t\t}\n 371→\t\t}\n 372→\t\treturn nil\n 373→\t}\n 374→\n 375→\tsel := selector[0]\n 376→\tif len(sel.String) != 0 && l.children != nil {\n 377→\t\tlvl, ok := l.children[sel.String]\n 378→\t\tif ok {\n 379→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 380→\t\t\tif err != nil {\n 381→\t\t\t\treturn err\n 382→\t\t\t}\n 383→\t\t}\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\tif sel.Group != nil && l.children != nil {\n 388→\t\tfor _, key := range sel.Group {\n 389→\t\t\tlvl, ok := l.children[key]\n 390→\t\t\tif ok {\n 391→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 392→\t\t\t\tif err != nil {\n 393→\t\t\t\t\treturn err\n 394→\t\t\t\t}\n 395→\t\t\t}\n 396→\t\t}\n 397→\t\treturn nil\n 398→\t}\n 399→\n 400→\tif sel.Any && l.children != nil {\n 401→\t\tfor _, lvl := range l.children {\n 402→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 403→\t\t\t\treturn err\n 404→\t\t\t}\n 405→\t\t}\n 406→\t\treturn nil\n 407→\t}\n 408→\n 409→\treturn nil\n 410→}\n 411→"}]},"uuid":"bd6b2bbc-79d7-4cc5-8e26-6efa49f20c04","timestamp":"2026-03-13T07:54:51.608Z","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 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\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}\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":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"438d1a9d-9d9b-41f2-a52b-8e49913f8516","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","toolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","timestamp":"2026-03-13T07:54:52.049Z","uuid":"78ae63cc-140c-42d4-9c19-19e8fa2f20f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","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\n 7→\n 8→import (\n 9→\t\"errors\"\n 10→\t\"math\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 14→)\n 15→\n 16→type Stats struct {\n 17→\tSamples int\n 18→\tAvg schema.Float\n 19→\tMin schema.Float\n 20→\tMax schema.Float\n 21→}\n 22→\n 23→func (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n 24→\tif from < b.start {\n 25→\t\tif b.prev != nil {\n 26→\t\t\treturn b.prev.stats(from, to)\n 27→\t\t}\n 28→\t\tfrom = b.start\n 29→\t}\n 30→\n 31→\t// TODO: Check if b.closed and if so and the full buffer is queried,\n 32→\t// use b.statistics instead of iterating over the buffer.\n 33→\n 34→\tsamples := 0\n 35→\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n 36→\n 37→\tvar t int64\n 38→\tfor t = from; t < to; t += b.frequency {\n 39→\t\tidx := int((t - b.start) / b.frequency)\n 40→\t\tif idx >= cap(b.data) {\n 41→\t\t\tb = b.next\n 42→\t\t\tif b == nil {\n 43→\t\t\t\tbreak\n 44→\t\t\t}\n 45→\t\t\tidx = 0\n 46→\t\t}\n 47→\n 48→\t\tif t < b.start || idx >= len(b.data) {\n 49→\t\t\tcontinue\n 50→\t\t}\n 51→\n 52→\t\txf := float64(b.data[idx])\n 53→\t\tif math.IsNaN(xf) {\n 54→\t\t\tcontinue\n 55→\t\t}\n 56→\n 57→\t\tsamples += 1\n 58→\t\tsum += xf\n 59→\t\tmin = math.Min(min, xf)\n 60→\t\tmax = math.Max(max, xf)\n 61→\t}\n 62→\n 63→\treturn Stats{\n 64→\t\tSamples: samples,\n 65→\t\tAvg: schema.Float(sum) / schema.Float(samples),\n 66→\t\tMin: schema.Float(min),\n 67→\t\tMax: schema.Float(max),\n 68→\t}, from, t, nil\n 69→}\n 70→\n 71→// Returns statistics for the requested metric on the selected node/level.\n 72→// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n 73→// If `Stats.Samples` is zero, the statistics should not be considered as valid.\n 74→func (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n 75→\tif from > to {\n 76→\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n 77→\t}\n 78→\n 79→\tminfo, ok := m.Metrics[metric]\n 80→\tif !ok {\n 81→\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n 82→\t}\n 83→\n 84→\tn, samples := 0, 0\n 85→\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n 86→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 87→\t\tstats, cfrom, cto, err := b.stats(from, to)\n 88→\t\tif err != nil {\n 89→\t\t\treturn err\n 90→\t\t}\n 91→\n 92→\t\tif n == 0 {\n 93→\t\t\tfrom, to = cfrom, cto\n 94→\t\t} else if from != cfrom || to != cto {\n 95→\t\t\treturn ErrDataDoesNotAlign\n 96→\t\t}\n 97→\n 98→\t\tsamples += stats.Samples\n 99→\t\tavg += stats.Avg\n 100→\t\tmin = math.Min(min, float64(stats.Min))\n 101→\t\tmax = math.Max(max, float64(stats.Max))\n 102→\t\tn += 1\n 103→\t\treturn nil\n 104→\t})\n 105→\tif err != nil {\n 106→\t\treturn nil, 0, 0, err\n 107→\t}\n 108→\n 109→\tif n == 0 {\n 110→\t\treturn nil, 0, 0, ErrNoData\n 111→\t}\n 112→\n 113→\tif minfo.Aggregation == AvgAggregation {\n 114→\t\tavg /= schema.Float(n)\n 115→\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n 116→\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n 117→\t}\n 118→\n 119→\treturn &Stats{\n 120→\t\tSamples: samples,\n 121→\t\tAvg: avg,\n 122→\t\tMin: schema.Float(min),\n 123→\t\tMax: schema.Float(max),\n 124→\t}, from, to, nil\n 125→}\n 126→"}]},"uuid":"dba06c47-0f19-480c-ac86-a5bb2722cdec","timestamp":"2026-03-13T07:54:52.049Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.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\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype Stats struct {\n\tSamples int\n\tAvg schema.Float\n\tMin schema.Float\n\tMax schema.Float\n}\n\nfunc (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n\tif from < b.start {\n\t\tif b.prev != nil {\n\t\t\treturn b.prev.stats(from, to)\n\t\t}\n\t\tfrom = b.start\n\t}\n\n\t// TODO: Check if b.closed and if so and the full buffer is queried,\n\t// use b.statistics instead of iterating over the buffer.\n\n\tsamples := 0\n\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\n\tvar t int64\n\tfor t = from; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}\n\n\t\tif t < b.start || idx >= len(b.data) {\n\t\t\tcontinue\n\t\t}\n\n\t\txf := float64(b.data[idx])\n\t\tif math.IsNaN(xf) {\n\t\t\tcontinue\n\t\t}\n\n\t\tsamples += 1\n\t\tsum += xf\n\t\tmin = math.Min(min, xf)\n\t\tmax = math.Max(max, xf)\n\t}\n\n\treturn Stats{\n\t\tSamples: samples,\n\t\tAvg: schema.Float(sum) / schema.Float(samples),\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, t, nil\n}\n\n// Returns statistics for the requested metric on the selected node/level.\n// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n// If `Stats.Samples` is zero, the statistics should not be considered as valid.\nfunc (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n\t}\n\n\tn, samples := 0, 0\n\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tstats, cfrom, cto, err := b.stats(from, to)\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 {\n\t\t\treturn ErrDataDoesNotAlign\n\t\t}\n\n\t\tsamples += stats.Samples\n\t\tavg += stats.Avg\n\t\tmin = math.Min(min, float64(stats.Min))\n\t\tmax = math.Max(max, float64(stats.Max))\n\t\tn += 1\n\t\treturn nil\n\t})\n\tif err != nil {\n\t\treturn nil, 0, 0, err\n\t}\n\n\tif n == 0 {\n\t\treturn nil, 0, 0, ErrNoData\n\t}\n\n\tif minfo.Aggregation == AvgAggregation {\n\t\tavg /= schema.Float(n)\n\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n\t}\n\n\treturn &Stats{\n\t\tSamples: samples,\n\t\tAvg: avg,\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, to, nil\n}\n","numLines":126,"startLine":1,"totalLines":126}},"sourceToolAssistantUUID":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"9ad0a0c5-5362-4a07-bc6a-7c261d253625","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FfsRRBQYyzPeGYPsaLLi4N","toolUseID":"toolu_01FfsRRBQYyzPeGYPsaLLi4N","timestamp":"2026-03-13T07:54:52.685Z","uuid":"0a0663d8-b39c-4dbf-bd80-26d83171188f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"9ad0a0c5-5362-4a07-bc6a-7c261d253625","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FfsRRBQYyzPeGYPsaLLi4N","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\tnormalInterval := DefaultMemoryUsageTrackerInterval\n 388→\t\tfastInterval := 30 * time.Second\n 389→\n 390→\t\tif normalInterval <= 0 {\n 391→\t\t\treturn\n 392→\t\t}\n 393→\n 394→\t\tticker := time.NewTicker(normalInterval)\n 395→\t\tdefer ticker.Stop()\n 396→\t\tcurrentInterval := normalInterval\n 397→\n 398→\t\tfor {\n 399→\t\t\tselect {\n 400→\t\t\tcase <-ctx.Done():\n 401→\t\t\t\treturn\n 402→\t\t\tcase <-ticker.C:\n 403→\t\t\t\tvar mem runtime.MemStats\n 404→\t\t\t\truntime.ReadMemStats(&mem)\n 405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 420→\t\t\t\t\tif err != nil {\n 421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 422→\t\t\t\t\t}\n 423→\n 424→\t\t\t\t\tif freedExcluded > 0 {\n 425→\t\t\t\t\t\tdebug.FreeOSMemory()\n 426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 427→\t\t\t\t\t}\n 428→\t\t\t\t}\n 429→\n 430→\t\t\t\truntime.ReadMemStats(&mem)\n 431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 432→\n 433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 435→\n 436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n 437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n 438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n 439→\t\t\t\t\tif parseErr != nil {\n 440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n 441→\t\t\t\t\t} else {\n 442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n 443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n 444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n 445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n 446→\t\t\t\t\t\t\tif freeErr != nil {\n 447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n 448→\t\t\t\t\t\t\t}\n 449→\t\t\t\t\t\t\tfreedEmergency += freed\n 450→\n 451→\t\t\t\t\t\t\tbufferPool.Clear()\n 452→\t\t\t\t\t\t\truntime.GC()\n 453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 455→\n 456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 457→\t\t\t\t\t\t\t\tbreak\n 458→\t\t\t\t\t\t\t}\n 459→\t\t\t\t\t\t}\n 460→\t\t\t\t\t}\n 461→\n 462→\t\t\t\t\tbufferPool.Clear()\n 463→\t\t\t\t\tdebug.FreeOSMemory()\n 464→\n 465→\t\t\t\t\truntime.ReadMemStats(&mem)\n 466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 467→\n 468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 469→\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 470→\t\t\t\t\t} else {\n 471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 472→\t\t\t\t\t}\n 473→\t\t\t\t}\n 474→\n 475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n 476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n 477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n 478→\t\t\t\t\tticker.Reset(fastInterval)\n 479→\t\t\t\t\tcurrentInterval = fastInterval\n 480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n 481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n 482→\t\t\t\t\tticker.Reset(normalInterval)\n 483→\t\t\t\t\tcurrentInterval = normalInterval\n 484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n 485→\t\t\t\t}\n 486→\t\t\t}\n 487→\t\t}\n 488→\t})\n 489→}\n 490→\n 491→// Free removes metric data older than the given time while preserving data for active nodes.\n 492→//\n 493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 495→// preserved even if older than the retention time.\n 496→//\n 497→// Parameters:\n 498→// - ms: The MemoryStore instance\n 499→// - t: Time threshold - buffers with data older than this will be freed\n 500→//\n 501→// Returns:\n 502→// - Number of buffers freed\n 503→// - Error if NodeProvider query fails\n 504→//\n 505→// Behavior:\n 506→// - If no NodeProvider is set: frees all buffers older than t\n 507→// - If NodeProvider returns empty map: frees all buffers older than t\n 508→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 510→\t// If no NodeProvider is configured, free all buffers older than t\n 511→\tif ms.nodeProvider == nil {\n 512→\t\treturn ms.Free(nil, t.Unix())\n 513→\t}\n 514→\n 515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 516→\tif err != nil {\n 517→\t\treturn 0, err\n 518→\t}\n 519→\n 520→\tswitch lenMap := len(excludeSelectors); lenMap {\n 521→\n 522→\t// If the length of the map returned by GetUsedNodes() is 0,\n 523→\t// then use default Free method with nil selector\n 524→\tcase 0:\n 525→\t\tstate.selectorsExcluded = false\n 526→\t\treturn ms.Free(nil, t.Unix())\n 527→\n 528→\t// Else formulate selectors, exclude those from the map\n 529→\t// and free the rest of the selectors\n 530→\tdefault:\n 531→\t\tstate.selectorsExcluded = true\n 532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 533→\t\treturn FreeSelected(ms, selectors, t)\n 534→\t}\n 535→}\n 536→\n 537→// FreeSelected frees buffers for specific selectors while preserving others.\n 538→//\n 539→// This function is used when we want to retain some specific nodes beyond the retention time.\n 540→// It iterates through the provided selectors and frees their associated buffers.\n 541→//\n 542→// Parameters:\n 543→// - ms: The MemoryStore instance\n 544→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 545→// - t: Time threshold for freeing buffers\n 546→//\n 547→// Returns the total number of buffers freed and any error encountered.\n 548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 549→\tfreed := 0\n 550→\n 551→\tfor _, selector := range selectors {\n 552→\n 553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 554→\t\tif err != nil {\n 555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 556→\t\t}\n 557→\t\tfreed += freedBuffers\n 558→\n 559→\t}\n 560→\n 561→\treturn freed, nil\n 562→}\n 563→\n 564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 565→//\n 566→// This function generates a list of selectors whose buffers should be freed by excluding\n 567→// selectors that correspond to nodes currently in use by running jobs.\n 568→//\n 569→// Parameters:\n 570→// - ms: The MemoryStore instance\n 571→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 572→//\n 573→// Returns a list of selectors ([]string paths) that can be safely freed.\n 574→//\n 575→// Example:\n 576→//\n 577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 581→\tallSelectors := ms.GetPaths(2)\n 582→\n 583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 584→\n 585→\tfor _, path := range allSelectors {\n 586→\t\tif len(path) < 2 {\n 587→\t\t\tcontinue\n 588→\t\t}\n 589→\n 590→\t\tkey := path[0] // The \"Key\" (Level 1)\n 591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 592→\n 593→\t\texclude := false\n 594→\n 595→\t\t// Check if the key exists in our exclusion map\n 596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 598→\t\t\tif slices.Contains(excludedValues, value) {\n 599→\t\t\t\texclude = true\n 600→\t\t\t}\n 601→\t\t}\n 602→\n 603→\t\tif !exclude {\n 604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 605→\t\t}\n 606→\t}\n 607→\n 608→\treturn filteredSelectors\n 609→}\n 610→\n 611→// GetPaths returns a list of lists (paths) to the specified depth.\n 612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 613→\tvar results [][]string\n 614→\n 615→\t// Start recursion. Initial path is empty.\n 616→\t// We treat Root as depth 0.\n 617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 618→\n 619→\treturn results\n 620→}\n 621→\n 622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 623→// Look at `findLevelOrCreate` for how selectors work.\n 624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 625→\tvar ok bool\n 626→\tfor i, metric := range metrics {\n 627→\t\tif metric.MetricConfig.Frequency == 0 {\n 628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 629→\t\t\tif !ok {\n 630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 632→\t\t\t}\n 633→\t\t\tmetrics[i] = metric\n 634→\t\t}\n 635→\t}\n 636→\n 637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 638→}\n 639→\n 640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 642→}\n 643→\n 644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 647→\tl.lock.Lock()\n 648→\tdefer l.lock.Unlock()\n 649→\n 650→\tfor _, metric := range metrics {\n 651→\t\tif metric.MetricConfig.Frequency == 0 {\n 652→\t\t\tcontinue\n 653→\t\t}\n 654→\n 655→\t\tb := l.metrics[metric.MetricConfig.offset]\n 656→\t\tif b == nil {\n 657→\t\t\t// First write to this metric and level\n 658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 660→\t\t}\n 661→\n 662→\t\tnb, err := b.write(ts, metric.Value)\n 663→\t\tif err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\n 667→\t\t// Last write created a new buffer...\n 668→\t\tif b != nb {\n 669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 670→\t\t}\n 671→\t}\n 672→\treturn nil\n 673→}\n 674→\n 675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 677→// The second and third return value are the actual from/to for the data. Those can be different from\n 678→// the range asked for if no data was available.\n 679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 680→\tif from > to {\n 681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 682→\t}\n 683→\n 684→\tminfo, ok := m.Metrics[metric]\n 685→\tif !ok {\n 686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 687→\t}\n 688→\n 689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 690→\n 691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 693→\t\tif err != nil {\n 694→\t\t\treturn err\n 695→\t\t}\n 696→\n 697→\t\tif n == 0 {\n 698→\t\t\tfrom, to = cfrom, cto\n 699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 701→\t\t\tif missingfront != 0 {\n 702→\t\t\t\treturn ErrDataDoesNotAlign\n 703→\t\t\t}\n 704→\n 705→\t\t\tnewlen := len(cdata) - missingback\n 706→\t\t\tif newlen < 1 {\n 707→\t\t\t\treturn ErrDataDoesNotAlign\n 708→\t\t\t}\n 709→\t\t\tcdata = cdata[0:newlen]\n 710→\t\t\tif len(cdata) != len(data) {\n 711→\t\t\t\treturn ErrDataDoesNotAlign\n 712→\t\t\t}\n 713→\n 714→\t\t\tfrom, to = cfrom, cto\n 715→\t\t}\n 716→\n 717→\t\tdata = cdata\n 718→\t\tn += 1\n 719→\t\treturn nil\n 720→\t})\n 721→\n 722→\tif err != nil {\n 723→\t\treturn nil, 0, 0, 0, err\n 724→\t} else if n == 0 {\n 725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 726→\t} else if n > 1 {\n 727→\t\tif minfo.Aggregation == AvgAggregation {\n 728→\t\t\tnormalize := 1. / schema.Float(n)\n 729→\t\t\tfor i := 0; i < len(data); i++ {\n 730→\t\t\t\tdata[i] *= normalize\n 731→\t\t\t}\n 732→\t\t} else if minfo.Aggregation != SumAggregation {\n 733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 734→\t\t}\n 735→\t}\n 736→\n 737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 738→\tif err != nil {\n 739→\t\treturn nil, 0, 0, 0, err\n 740→\t}\n 741→\n 742→\treturn data, from, to, resolution, nil\n 743→}\n 744→\n 745→// Free releases all buffers for the selected level and all its children that\n 746→// contain only values older than `t`.\n 747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 748→\treturn m.GetLevel(selector).free(t)\n 749→}\n 750→\n 751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 752→func (m *MemoryStore) ForceFree() (int, error) {\n 753→\treturn m.GetLevel(nil).forceFree()\n 754→}\n 755→\n 756→func (m *MemoryStore) FreeAll() error {\n 757→\tfor k := range m.root.children {\n 758→\t\tdelete(m.root.children, k)\n 759→\t}\n 760→\n 761→\treturn nil\n 762→}\n 763→\n 764→func (m *MemoryStore) SizeInBytes() int64 {\n 765→\treturn m.root.sizeInBytes()\n 766→}\n 767→\n 768→func (m *MemoryStore) SizeInGB() float64 {\n 769→\treturn float64(m.root.sizeInBytes()) / 1e9\n 770→}\n 771→\n 772→// ListChildren , given a selector, returns a list of all children of the level\n 773→// selected.\n 774→func (m *MemoryStore) ListChildren(selector []string) []string {\n 775→\tlvl := &m.root\n 776→\tfor lvl != nil && len(selector) != 0 {\n 777→\t\tlvl.lock.RLock()\n 778→\t\tnext := lvl.children[selector[0]]\n 779→\t\tlvl.lock.RUnlock()\n 780→\t\tlvl = next\n 781→\t\tselector = selector[1:]\n 782→\t}\n 783→\n 784→\tif lvl == nil {\n 785→\t\treturn nil\n 786→\t}\n 787→\n 788→\tlvl.lock.RLock()\n 789→\tdefer lvl.lock.RUnlock()\n 790→\n 791→\tchildren := make([]string, 0, len(lvl.children))\n 792→\tfor child := range lvl.children {\n 793→\t\tchildren = append(children, child)\n 794→\t}\n 795→\n 796→\treturn children\n 797→}\n 798→"}]},"uuid":"5a67ed79-379a-4d78-aba9-8affd9c53526","timestamp":"2026-03-13T07:54:52.684Z","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\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}\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":798,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"9ad0a0c5-5362-4a07-bc6a-7c261d253625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"da598147-c730-4064-8ea2-c5f63379d5db","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015cTqkQR69kC2gR3koAcp8P","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 contains the API types and data fetching logic for querying metric data\n 7→// from the in-memory metric store. It provides structures for building complex queries\n 8→// with support for aggregation, scaling, padding, and statistics computation.\n 9→package metricstore\n 10→\n 11→import (\n 12→\t\"errors\"\n 13→\t\"fmt\"\n 14→\t\"math\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 19→)\n 20→\n 21→var (\n 22→\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n 23→\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n 24→\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n 25→\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n 26→\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n 27→\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n 28→)\n 29→\n 30→// APIMetricData represents the response data for a single metric query.\n 31→//\n 32→// It contains both the time-series data points and computed statistics (avg, min, max).\n 33→// If an error occurred during data retrieval, the Error field will be set and other\n 34→// fields may be incomplete.\n 35→type APIMetricData struct {\n 36→\tError *string `json:\"error,omitempty\"`\n 37→\tData schema.FloatArray `json:\"data,omitempty\"`\n 38→\tFrom int64 `json:\"from\"`\n 39→\tTo int64 `json:\"to\"`\n 40→\tResolution int64 `json:\"resolution\"`\n 41→\tAvg schema.Float `json:\"avg\"`\n 42→\tMin schema.Float `json:\"min\"`\n 43→\tMax schema.Float `json:\"max\"`\n 44→}\n 45→\n 46→// APIQueryRequest represents a batch query request for metric data.\n 47→//\n 48→// It supports two modes of operation:\n 49→// 1. Explicit queries via the Queries field\n 50→// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n 51→//\n 52→// The request can be customized with flags to include/exclude statistics, raw data, and padding.\n 53→type APIQueryRequest struct {\n 54→\tCluster string `json:\"cluster\"`\n 55→\tQueries []APIQuery `json:\"queries\"`\n 56→\tForAllNodes []string `json:\"for-all-nodes\"`\n 57→\tFrom int64 `json:\"from\"`\n 58→\tTo int64 `json:\"to\"`\n 59→\tWithStats bool `json:\"with-stats\"`\n 60→\tWithData bool `json:\"with-data\"`\n 61→\tWithPadding bool `json:\"with-padding\"`\n 62→}\n 63→\n 64→// APIQueryResponse represents the response to an APIQueryRequest.\n 65→//\n 66→// Results is a 2D array where each outer element corresponds to a query,\n 67→// and each inner element corresponds to a selector within that query\n 68→// (e.g., multiple CPUs or cores).\n 69→type APIQueryResponse struct {\n 70→\tQueries []APIQuery `json:\"queries,omitempty\"`\n 71→\tResults [][]APIMetricData `json:\"results\"`\n 72→}\n 73→\n 74→// APIQuery represents a single metric query with optional hierarchical selectors.\n 75→//\n 76→// The hierarchical selection works as follows:\n 77→// - Hostname: The node to query\n 78→// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n 79→// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n 80→//\n 81→// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n 82→// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\n 83→type APIQuery struct {\n 84→\tType *string `json:\"type,omitempty\"`\n 85→\tSubType *string `json:\"subtype,omitempty\"`\n 86→\tMetric string `json:\"metric\"`\n 87→\tHostname string `json:\"host\"`\n 88→\tResolution int64 `json:\"resolution\"`\n 89→\tTypeIds []string `json:\"type-ids,omitempty\"`\n 90→\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n 91→\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n 92→\tAggregate bool `json:\"aggreg\"`\n 93→}\n 94→\n 95→// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n 96→//\n 97→// NaN values in the data are ignored during computation. If all values are NaN,\n 98→// the statistics fields will be set to NaN.\n 99→//\n 100→// TODO: Optimize this, just like the stats endpoint!\n 101→func (data *APIMetricData) AddStats() {\n 102→\tn := 0\n 103→\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n 104→\tfor _, x := range data.Data {\n 105→\t\tif x.IsNaN() {\n 106→\t\t\tcontinue\n 107→\t\t}\n 108→\n 109→\t\tn += 1\n 110→\t\tsum += float64(x)\n 111→\t\tmin = math.Min(min, float64(x))\n 112→\t\tmax = math.Max(max, float64(x))\n 113→\t}\n 114→\n 115→\tif n > 0 {\n 116→\t\tavg := sum / float64(n)\n 117→\t\tdata.Avg = schema.Float(avg)\n 118→\t\tdata.Min = schema.Float(min)\n 119→\t\tdata.Max = schema.Float(max)\n 120→\t} else {\n 121→\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n 122→\t}\n 123→}\n 124→\n 125→// ScaleBy multiplies all data points and statistics by the given factor.\n 126→//\n 127→// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n 128→// Scaling by 0 or 1 is a no-op for performance reasons.\n 129→func (data *APIMetricData) ScaleBy(f schema.Float) {\n 130→\tif f == 0 || f == 1 {\n 131→\t\treturn\n 132→\t}\n 133→\n 134→\tdata.Avg *= f\n 135→\tdata.Min *= f\n 136→\tdata.Max *= f\n 137→\tfor i := 0; i < len(data.Data); i++ {\n 138→\t\tdata.Data[i] *= f\n 139→\t}\n 140→}\n 141→\n 142→// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n 143→//\n 144→// This ensures that the data aligns with the requested 'from' timestamp, even if\n 145→// the metric store doesn't have data for the earliest time points. This is useful\n 146→// for maintaining consistent array indexing across multiple queries.\n 147→//\n 148→// Parameters:\n 149→// - ms: MemoryStore instance to lookup metric configuration\n 150→// - from: The requested start timestamp\n 151→// - to: The requested end timestamp (unused but kept for API consistency)\n 152→// - metric: The metric name to lookup frequency information\n 153→func (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n 154→\tminfo, ok := ms.Metrics[metric]\n 155→\tif !ok {\n 156→\t\treturn\n 157→\t}\n 158→\n 159→\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n 160→\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n 161→\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n 162→\t\tfor range padfront {\n 163→\t\t\tndata = append(ndata, schema.NaN)\n 164→\t\t}\n 165→\t\tfor j := 0; j < len(data.Data); j++ {\n 166→\t\t\tndata = append(ndata, data.Data[j])\n 167→\t\t}\n 168→\t\tdata.Data = ndata\n 169→\t}\n 170→}\n 171→\n 172→// FetchData executes a batch metric query request and returns the results.\n 173→//\n 174→// This is the primary API for retrieving metric data from the memory store. It supports:\n 175→// - Individual queries via req.Queries\n 176→// - Batch queries for all nodes via req.ForAllNodes\n 177→// - Hierarchical selector construction (cluster → host → type → subtype)\n 178→// - Optional statistics computation (avg, min, max)\n 179→// - Optional data scaling\n 180→// - Optional data padding with NaN values\n 181→//\n 182→// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n 183→// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n 184→// separate results are returned for each combination.\n 185→//\n 186→// Parameters:\n 187→// - req: The query request containing queries, time range, and options\n 188→//\n 189→// Returns:\n 190→// - APIQueryResponse containing results for each query, or error if validation fails\n 191→//\n 192→// Errors:\n 193→// - ErrInvalidTimeRange if req.From > req.To\n 194→// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n 195→// - Error if MemoryStore is not initialized\n 196→// - Individual query errors are stored in APIMetricData.Error field\n 197→func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n 198→\tif req.From > req.To {\n 199→\t\treturn nil, ErrInvalidTimeRange\n 200→\t}\n 201→\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n 202→\t\treturn nil, ErrEmptyCluster\n 203→\t}\n 204→\n 205→\treq.WithData = true\n 206→\tms := GetMemoryStore()\n 207→\tif ms == nil {\n 208→\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n 209→\t}\n 210→\n 211→\tresponse := APIQueryResponse{\n 212→\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n 213→\t}\n 214→\tif req.ForAllNodes != nil {\n 215→\t\tnodes := ms.ListChildren([]string{req.Cluster})\n 216→\t\tfor _, node := range nodes {\n 217→\t\t\tfor _, metric := range req.ForAllNodes {\n 218→\t\t\t\tq := APIQuery{\n 219→\t\t\t\t\tMetric: metric,\n 220→\t\t\t\t\tHostname: node,\n 221→\t\t\t\t}\n 222→\t\t\t\treq.Queries = append(req.Queries, q)\n 223→\t\t\t\tresponse.Queries = append(response.Queries, q)\n 224→\t\t\t}\n 225→\t\t}\n 226→\t}\n 227→\n 228→\tfor _, query := range req.Queries {\n 229→\t\tsels := make([]util.Selector, 0, 1)\n 230→\t\tif query.Aggregate || query.Type == nil {\n 231→\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n 232→\t\t\tif query.Type != nil {\n 233→\t\t\t\tif len(query.TypeIds) == 1 {\n 234→\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n 235→\t\t\t\t} else {\n 236→\t\t\t\t\tids := make([]string, len(query.TypeIds))\n 237→\t\t\t\t\tfor i, id := range query.TypeIds {\n 238→\t\t\t\t\t\tids[i] = *query.Type + id\n 239→\t\t\t\t\t}\n 240→\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 241→\t\t\t\t}\n 242→\n 243→\t\t\t\tif query.SubType != nil {\n 244→\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n 245→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n 246→\t\t\t\t\t} else {\n 247→\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n 248→\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n 249→\t\t\t\t\t\t\tids[i] = *query.SubType + id\n 250→\t\t\t\t\t\t}\n 251→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 252→\t\t\t\t\t}\n 253→\t\t\t\t}\n 254→\t\t\t}\n 255→\t\t\tsels = append(sels, sel)\n 256→\t\t} else {\n 257→\t\t\tfor _, typeID := range query.TypeIds {\n 258→\t\t\t\tif query.SubType != nil {\n 259→\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n 260→\t\t\t\t\t\tsels = append(sels, util.Selector{\n 261→\t\t\t\t\t\t\t{String: req.Cluster},\n 262→\t\t\t\t\t\t\t{String: query.Hostname},\n 263→\t\t\t\t\t\t\t{String: *query.Type + typeID},\n 264→\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n 265→\t\t\t\t\t\t})\n 266→\t\t\t\t\t}\n 267→\t\t\t\t} else {\n 268→\t\t\t\t\tsels = append(sels, util.Selector{\n 269→\t\t\t\t\t\t{String: req.Cluster},\n 270→\t\t\t\t\t\t{String: query.Hostname},\n 271→\t\t\t\t\t\t{String: *query.Type + typeID},\n 272→\t\t\t\t\t})\n 273→\t\t\t\t}\n 274→\t\t\t}\n 275→\t\t}\n 276→\n 277→\t\tvar err error\n 278→\t\tres := make([]APIMetricData, 0, len(sels))\n 279→\t\tfor _, sel := range sels {\n 280→\t\t\tdata := APIMetricData{}\n 281→\n 282→\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n 283→\t\t\tif err != nil {\n 284→\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n 285→\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n 286→\t\t\t\tif err != ErrNoHostOrMetric {\n 287→\t\t\t\t\tmsg := err.Error()\n 288→\t\t\t\t\tdata.Error = &msg\n 289→\t\t\t\t\tres = append(res, data)\n 290→\t\t\t\t} else {\n 291→\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n 292→\t\t\t\t}\n 293→\t\t\t\tcontinue\n 294→\t\t\t}\n 295→\n 296→\t\t\tif req.WithStats {\n 297→\t\t\t\tdata.AddStats()\n 298→\t\t\t}\n 299→\t\t\tif query.ScaleFactor != 0 {\n 300→\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n 301→\t\t\t}\n 302→\t\t\tif req.WithPadding {\n 303→\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n 304→\t\t\t}\n 305→\t\t\tif !req.WithData {\n 306→\t\t\t\tdata.Data = nil\n 307→\t\t\t}\n 308→\t\t\tres = append(res, data)\n 309→\t\t}\n 310→\t\tresponse.Results = append(response.Results, res)\n 311→\t}\n 312→\n 313→\treturn &response, nil\n 314→}\n 315→"}]},"uuid":"5f964e6a-043c-4d3f-b3ef-e558d686be08","timestamp":"2026-03-13T07:54:52.948Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.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 contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","numLines":315,"startLine":1,"totalLines":315}},"sourceToolAssistantUUID":"da598147-c730-4064-8ea2-c5f63379d5db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"e5493694-089a-46c5-a2a7-1406efbc54c9","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qg7twqpVcigdPartui6YRL","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\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"time\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→)\n 16→\n 17→// HealthCheckResponse represents the result of a health check operation.\n 18→type HealthCheckResponse struct {\n 19→\tStatus schema.MonitoringState\n 20→\tError error\n 21→}\n 22→\n 23→// HealthCheckResult holds the monitoring state and raw JSON health metrics\n 24→// for a single node as determined by HealthCheck.\n 25→type HealthCheckResult struct {\n 26→\tState schema.MonitoringState\n 27→\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n 28→}\n 29→\n 30→// MaxMissingDataPoints is the threshold for stale data detection.\n 31→// A buffer is considered healthy if the gap between its last data point\n 32→// and the current time is within MaxMissingDataPoints * frequency.\n 33→const MaxMissingDataPoints int64 = 5\n 34→\n 35→// bufferExists returns true if the buffer is non-nil and contains data.\n 36→func (b *buffer) bufferExists() bool {\n 37→\tif b == nil || b.data == nil || len(b.data) == 0 {\n 38→\t\treturn false\n 39→\t}\n 40→\n 41→\treturn true\n 42→}\n 43→\n 44→// isBufferHealthy returns true if the buffer has recent data within\n 45→// MaxMissingDataPoints * frequency of the current time.\n 46→func (b *buffer) isBufferHealthy() bool {\n 47→\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n 48→\tt := time.Now().Unix()\n 49→\n 50→\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n 51→}\n 52→\n 53→// collectMetricStatus walks the subtree rooted at l and classifies each\n 54→// expected metric into the healthy or degraded map.\n 55→//\n 56→// Classification rules (evaluated per buffer, pessimistic):\n 57→// - A single stale buffer marks the metric as degraded permanently.\n 58→// - A healthy buffer only counts if no stale buffer has been seen.\n 59→// - Metrics absent from the global config or without any buffer remain\n 60→// in neither map and are later reported as missing.\n 61→func (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n 62→\tl.lock.RLock()\n 63→\tdefer l.lock.RUnlock()\n 64→\n 65→\tfor _, metricName := range expectedMetrics {\n 66→\t\tif degraded[metricName] {\n 67→\t\t\tcontinue // already degraded, cannot improve\n 68→\t\t}\n 69→\t\tmc := m.Metrics[metricName]\n 70→\t\tb := l.metrics[mc.offset]\n 71→\t\tif b.bufferExists() {\n 72→\t\t\tif !b.isBufferHealthy() {\n 73→\t\t\t\tdegraded[metricName] = true\n 74→\t\t\t\tdelete(healthy, metricName)\n 75→\t\t\t} else if !degraded[metricName] {\n 76→\t\t\t\thealthy[metricName] = true\n 77→\t\t\t}\n 78→\t\t}\n 79→\t}\n 80→\n 81→\tfor _, lvl := range l.children {\n 82→\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 83→\t}\n 84→}\n 85→\n 86→// getHealthyMetrics walks the complete subtree rooted at l and classifies\n 87→// each expected metric by comparing the collected status against the\n 88→// expected list.\n 89→//\n 90→// Returns:\n 91→// - missingList: metrics not found in global config or without any buffer\n 92→// - degradedList: metrics with at least one stale buffer in the subtree\n 93→func (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n 94→\thealthy := make(map[string]bool, len(expectedMetrics))\n 95→\tdegraded := make(map[string]bool)\n 96→\n 97→\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 98→\n 99→\tmissingList := make([]string, 0)\n 100→\tdegradedList := make([]string, 0)\n 101→\n 102→\tfor _, metricName := range expectedMetrics {\n 103→\t\tif healthy[metricName] {\n 104→\t\t\tcontinue\n 105→\t\t}\n 106→\n 107→\t\tif degraded[metricName] {\n 108→\t\t\tdegradedList = append(degradedList, metricName)\n 109→\t\t} else {\n 110→\t\t\tmissingList = append(missingList, metricName)\n 111→\t\t}\n 112→\t}\n 113→\n 114→\treturn degradedList, missingList\n 115→}\n 116→\n 117→// GetHealthyMetrics returns missing and degraded metric lists for a node.\n 118→//\n 119→// It walks the metric tree starting from the node identified by selector\n 120→// and classifies each expected metric:\n 121→// - Missing: no buffer anywhere in the subtree, or metric not in global config\n 122→// - Degraded: at least one stale buffer exists in the subtree\n 123→//\n 124→// Metrics present in expectedMetrics but absent from both returned lists\n 125→// are considered fully healthy.\n 126→func (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n 127→\tlvl := m.root.findLevel(selector)\n 128→\tif lvl == nil {\n 129→\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n 130→\t}\n 131→\n 132→\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n 133→\treturn degradedList, missingList, nil\n 134→}\n 135→\n 136→type HealthCheckReq struct {\n 137→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 138→\tNodes []string `json:\"nodes\"`\n 139→\tMetricNames []string `json:\"metric-names\"`\n 140→}\n 141→\n 142→// HealthCheck evaluates multiple nodes against a set of expected metrics\n 143→// and returns a monitoring state per node.\n 144→//\n 145→// States:\n 146→// - MonitoringStateFull: all expected metrics are healthy\n 147→// - MonitoringStatePartial: some metrics are missing or degraded\n 148→// - MonitoringStateFailed: node not found, or no healthy metrics at all\n 149→func (m *MemoryStore) HealthCheck(cluster string,\n 150→\tnodes []string, expectedMetrics []string,\n 151→) (map[string]HealthCheckResult, error) {\n 152→\tresults := make(map[string]HealthCheckResult, len(nodes))\n 153→\n 154→\tfor _, hostname := range nodes {\n 155→\t\tselector := []string{cluster, hostname}\n 156→\n 157→\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n 158→\t\tif err != nil {\n 159→\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n 160→\t\t\tcontinue\n 161→\t\t}\n 162→\n 163→\t\tdegradedCount := len(degradedList)\n 164→\t\tmissingCount := len(missingList)\n 165→\n 166→\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n 167→\n 168→\t\tif degradedCount > 0 {\n 169→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n 170→\t\t}\n 171→\t\tif missingCount > 0 {\n 172→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n 173→\t\t}\n 174→\n 175→\t\tvar state schema.MonitoringState\n 176→\t\tswitch {\n 177→\t\tcase degradedCount == 0 && missingCount == 0:\n 178→\t\t\tstate = schema.MonitoringStateFull\n 179→\t\tcase healthyCount == 0:\n 180→\t\t\tstate = schema.MonitoringStateFailed\n 181→\t\tdefault:\n 182→\t\t\tstate = schema.MonitoringStatePartial\n 183→\t\t}\n 184→\n 185→\t\thm, _ := json.Marshal(map[string][]string{\n 186→\t\t\t\"missing\": missingList,\n 187→\t\t\t\"degraded\": degradedList,\n 188→\t\t})\n 189→\n 190→\t\tresults[hostname] = HealthCheckResult{\n 191→\t\t\tState: state,\n 192→\t\t\tHealthMetrics: string(hm),\n 193→\t\t}\n 194→\t}\n 195→\n 196→\treturn results, nil\n 197→}\n 198→"}]},"uuid":"87283d9e-c266-4b3b-8d31-081922479439","timestamp":"2026-03-13T07:54:53.396Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/healthcheck.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\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","numLines":198,"startLine":1,"totalLines":198}},"sourceToolAssistantUUID":"e5493694-089a-46c5-a2a7-1406efbc54c9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"70a1642d-2934-4bd9-b978-bd22173771a5","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","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 = 5 * time.Minute\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":"b372a672-48d3-4906-bd7e-fba00bbb2338","timestamp":"2026-03-13T07:54:53.845Z","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 = 5 * time.Minute\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":"70a1642d-2934-4bd9-b978-bd22173771a5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"76f05b12-e874-46cd-9175-0f2f9612e301","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017EpR3TjRnKd4DqvvULE3bs","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 checkpoint persistence for the in-memory metric store.\n 7→//\n 8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n 9→// data to disk in JSON or binary format. The checkpoint system:\n 10→//\n 11→// Key Features:\n 12→// - Periodic background checkpointing via the Checkpointing() worker\n 13→// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n 14→// - Parallel checkpoint creation and loading using worker pools\n 15→// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n 16→// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n 17→// - Only saves unarchived data (archived data is already persisted elsewhere)\n 18→// - GC optimization during loading to prevent excessive heap growth\n 19→//\n 20→// Checkpoint Workflow:\n 21→// 1. Init() loads checkpoints within retention window at startup\n 22→// 2. Checkpointing() worker periodically saves new data\n 23→// 3. Shutdown() writes final checkpoint before exit\n 24→//\n 25→// File Organization:\n 26→//\n 27→//\tcheckpoints/\n 28→//\t cluster1/\n 29→//\t host001/\n 30→//\t 1234567890.json (JSON format: full subtree snapshot)\n 31→//\t 1234567890.bin (binary format: full subtree snapshot)\n 32→//\t current.wal (WAL format: append-only per-entry log)\n 33→//\t host002/\n 34→//\t ...\n 35→package metricstore\n 36→\n 37→import (\n 38→\t\"bufio\"\n 39→\t\"context\"\n 40→\t\"encoding/json\"\n 41→\t\"errors\"\n 42→\t\"fmt\"\n 43→\t\"io/fs\"\n 44→\t\"os\"\n 45→\t\"path\"\n 46→\t\"path/filepath\"\n 47→\t\"sort\"\n 48→\t\"strconv\"\n 49→\t\"strings\"\n 50→\t\"sync\"\n 51→\t\"sync/atomic\"\n 52→\t\"time\"\n 53→\n 54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 56→)\n 57→\n 58→const (\n 59→\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n 60→\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n 61→\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n 62→)\n 63→\n 64→// CheckpointMetrics represents metric data in a checkpoint file.\n 65→// Whenever the structure changes, update MarshalJSON as well!\n 66→type CheckpointMetrics struct {\n 67→\tData []schema.Float `json:\"data\"`\n 68→\tFrequency int64 `json:\"frequency\"`\n 69→\tStart int64 `json:\"start\"`\n 70→}\n 71→\n 72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n 73→// It mirrors the Level tree structure from the MemoryStore.\n 74→type CheckpointFile struct {\n 75→\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n 76→\tChildren map[string]*CheckpointFile `json:\"children\"`\n 77→\tFrom int64 `json:\"from\"`\n 78→\tTo int64 `json:\"to\"`\n 79→}\n 80→\n 81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n 82→var (\n 83→\tlastCheckpoint time.Time\n 84→\tlastCheckpointMu sync.Mutex\n 85→)\n 86→\n 87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n 88→//\n 89→// Checkpoints are written every 12 hours (hardcoded).\n 90→//\n 91→// Format behaviour:\n 92→// - \"json\": Periodic checkpointing every checkpointInterval\n 93→// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\n 94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 95→\tlastCheckpointMu.Lock()\n 96→\tlastCheckpoint = time.Now()\n 97→\tlastCheckpointMu.Unlock()\n 98→\n 99→\tms := GetMemoryStore()\n 100→\n 101→\twg.Go(func() {\n 102→\n 103→\t\tconst checkpointInterval = 12 * time.Hour\n 104→\t\td := checkpointInterval\n 105→\n 106→\t\tticker := time.NewTicker(d)\n 107→\t\tdefer ticker.Stop()\n 108→\n 109→\t\tfor {\n 110→\t\t\tselect {\n 111→\t\t\tcase <-ctx.Done():\n 112→\t\t\t\treturn\n 113→\t\t\tcase <-ticker.C:\n 114→\t\t\t\tlastCheckpointMu.Lock()\n 115→\t\t\t\tfrom := lastCheckpoint\n 116→\t\t\t\tlastCheckpointMu.Unlock()\n 117→\n 118→\t\t\t\tnow := time.Now()\n 119→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 120→\n 121→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 122→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 123→\t\t\t\t\tif err != nil {\n 124→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 125→\t\t\t\t\t} else {\n 126→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 127→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 128→\t\t\t\t\t\tlastCheckpoint = now\n 129→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 130→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 131→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 132→\t\t\t\t\t}\n 133→\t\t\t\t} else {\n 134→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 135→\t\t\t\t\tif err != nil {\n 136→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 137→\t\t\t\t\t} else {\n 138→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 139→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 140→\t\t\t\t\t\tlastCheckpoint = now\n 141→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 142→\t\t\t\t\t}\n 143→\t\t\t\t}\n 144→\t\t\t}\n 145→\t\t}\n 146→\t})\n 147→}\n 148→\n 149→// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n 150→//\n 151→// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n 152→// This method manually constructs JSON to avoid allocations and interface conversions.\n 153→func (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n 154→\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n 155→\tbuf = append(buf, `{\"frequency\":`...)\n 156→\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n 157→\tbuf = append(buf, `,\"start\":`...)\n 158→\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n 159→\tbuf = append(buf, `,\"data\":[`...)\n 160→\tfor i, x := range cm.Data {\n 161→\t\tif i != 0 {\n 162→\t\t\tbuf = append(buf, ',')\n 163→\t\t}\n 164→\t\tif x.IsNaN() {\n 165→\t\t\tbuf = append(buf, `null`...)\n 166→\t\t} else {\n 167→\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n 168→\t\t}\n 169→\t}\n 170→\tbuf = append(buf, `]}`...)\n 171→\treturn buf, nil\n 172→}\n 173→\n 174→// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n 175→//\n 176→// Metrics at root and cluster levels are skipped. One file per host is created.\n 177→// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n 178→// at a time, allowing concurrent writes/reads to other hosts.\n 179→//\n 180→// Returns the number of checkpoint files created and any errors encountered.\n 181→func (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n 182→\t// Pre-calculate capacity by counting cluster/host pairs\n 183→\tm.root.lock.RLock()\n 184→\ttotalHosts := 0\n 185→\tfor _, l1 := range m.root.children {\n 186→\t\tl1.lock.RLock()\n 187→\t\ttotalHosts += len(l1.children)\n 188→\t\tl1.lock.RUnlock()\n 189→\t}\n 190→\tm.root.lock.RUnlock()\n 191→\n 192→\tlevels := make([]*Level, 0, totalHosts)\n 193→\tselectors := make([][]string, 0, totalHosts)\n 194→\n 195→\tm.root.lock.RLock()\n 196→\tfor sel1, l1 := range m.root.children {\n 197→\t\tl1.lock.RLock()\n 198→\t\tfor sel2, l2 := range l1.children {\n 199→\t\t\tlevels = append(levels, l2)\n 200→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 201→\t\t}\n 202→\t\tl1.lock.RUnlock()\n 203→\t}\n 204→\tm.root.lock.RUnlock()\n 205→\n 206→\ttype workItem struct {\n 207→\t\tlevel *Level\n 208→\t\tdir string\n 209→\t\tselector []string\n 210→\t}\n 211→\n 212→\tn, errs := int32(0), int32(0)\n 213→\n 214→\tvar wg sync.WaitGroup\n 215→\twg.Add(Keys.NumWorkers)\n 216→\twork := make(chan workItem, Keys.NumWorkers*2)\n 217→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 218→\t\tgo func() {\n 219→\t\t\tdefer wg.Done()\n 220→\n 221→\t\t\tfor workItem := range work {\n 222→\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n 223→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 224→\t\t\t\t\t\tcontinue\n 225→\t\t\t\t\t}\n 226→\n 227→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n 228→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 229→\t\t\t\t} else {\n 230→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 231→\t\t\t\t}\n 232→\t\t\t}\n 233→\t\t}()\n 234→\t}\n 235→\n 236→\tfor i := 0; i < len(levels); i++ {\n 237→\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n 238→\t\twork <- workItem{\n 239→\t\t\tlevel: levels[i],\n 240→\t\t\tdir: dir,\n 241→\t\t\tselector: selectors[i],\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tclose(work)\n 246→\twg.Wait()\n 247→\n 248→\tif errs > 0 {\n 249→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 250→\t}\n 251→\treturn int(n), nil\n 252→}\n 253→\n 254→// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n 255→// Skips metrics that are already archived. Returns nil if no unarchived data exists.\n 256→func (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n 257→\tl.lock.RLock()\n 258→\tdefer l.lock.RUnlock()\n 259→\n 260→\tretval := &CheckpointFile{\n 261→\t\tFrom: from,\n 262→\t\tTo: to,\n 263→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 264→\t\tChildren: make(map[string]*CheckpointFile),\n 265→\t}\n 266→\n 267→\tfor metric, minfo := range m.Metrics {\n 268→\t\tb := l.metrics[minfo.offset]\n 269→\t\tif b == nil {\n 270→\t\t\tcontinue\n 271→\t\t}\n 272→\n 273→\t\tallArchived := true\n 274→\t\tb.iterFromTo(from, to, func(b *buffer) error {\n 275→\t\t\tif !b.archived {\n 276→\t\t\t\tallArchived = false\n 277→\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n 278→\t\t\t}\n 279→\t\t\treturn nil\n 280→\t\t})\n 281→\n 282→\t\tif allArchived {\n 283→\t\t\tcontinue\n 284→\t\t}\n 285→\n 286→\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n 287→\t\tdata, start, end, err := b.read(from, to, data)\n 288→\t\tif err != nil {\n 289→\t\t\treturn nil, err\n 290→\t\t}\n 291→\n 292→\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n 293→\t\t\tdata[i] = schema.NaN\n 294→\t\t}\n 295→\n 296→\t\tretval.Metrics[metric] = &CheckpointMetrics{\n 297→\t\t\tFrequency: b.frequency,\n 298→\t\t\tStart: start,\n 299→\t\t\tData: data,\n 300→\t\t}\n 301→\t}\n 302→\n 303→\tfor name, child := range l.children {\n 304→\t\tval, err := child.toCheckpointFile(from, to, m)\n 305→\t\tif err != nil {\n 306→\t\t\treturn nil, err\n 307→\t\t}\n 308→\n 309→\t\tif val != nil {\n 310→\t\t\tretval.Children[name] = val\n 311→\t\t}\n 312→\t}\n 313→\n 314→\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n 315→\t\treturn nil, nil\n 316→\t}\n 317→\n 318→\treturn retval, nil\n 319→}\n 320→\n 321→// toCheckpoint writes a Level's data to a JSON checkpoint file.\n 322→// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\n 323→func (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n 324→\tcf, err := l.toCheckpointFile(from, to, m)\n 325→\tif err != nil {\n 326→\t\treturn err\n 327→\t}\n 328→\n 329→\tif cf == nil {\n 330→\t\treturn ErrNoNewArchiveData\n 331→\t}\n 332→\n 333→\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n 334→\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 335→\tif err != nil && os.IsNotExist(err) {\n 336→\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n 337→\t\tif err == nil {\n 338→\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 339→\t\t}\n 340→\t}\n 341→\tif err != nil {\n 342→\t\treturn err\n 343→\t}\n 344→\tdefer f.Close()\n 345→\n 346→\tbw := bufio.NewWriter(f)\n 347→\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n 348→\t\treturn err\n 349→\t}\n 350→\n 351→\treturn bw.Flush()\n 352→}\n 353→\n 354→// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n 355→// Returns error if directory structure is invalid.\n 356→func enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n 357→\tclustersDir, err := os.ReadDir(dir)\n 358→\tif err != nil {\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\tfor _, clusterDir := range clustersDir {\n 363→\t\tif !clusterDir.IsDir() {\n 364→\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n 365→\t\t}\n 366→\n 367→\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n 368→\t\tif err != nil {\n 369→\t\t\treturn err\n 370→\t\t}\n 371→\n 372→\t\tfor _, hostDir := range hostsDir {\n 373→\t\t\tif !hostDir.IsDir() {\n 374→\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n 375→\t\t\t}\n 376→\n 377→\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n 378→\t\t}\n 379→\t}\n 380→\n 381→\treturn nil\n 382→}\n 383→\n 384→// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n 385→//\n 386→// Uses worker pool to load cluster/host combinations. Returns number of files\n 387→// loaded and any errors.\n 388→func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n 389→\tvar wg sync.WaitGroup\n 390→\twork := make(chan [2]string, Keys.NumWorkers*4)\n 391→\tn, errs := int32(0), int32(0)\n 392→\n 393→\twg.Add(Keys.NumWorkers)\n 394→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 395→\t\tgo func() {\n 396→\t\t\tdefer wg.Done()\n 397→\t\t\tfor host := range work {\n 398→\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n 399→\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n 400→\t\t\t\tif err != nil {\n 401→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n 402→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 403→\t\t\t\t}\n 404→\t\t\t\tatomic.AddInt32(&n, int32(nn))\n 405→\t\t\t}\n 406→\t\t}()\n 407→\t}\n 408→\n 409→\terr := enqueueCheckpointHosts(dir, work)\n 410→\tclose(work)\n 411→\twg.Wait()\n 412→\n 413→\tif err != nil {\n 414→\t\treturn int(n), err\n 415→\t}\n 416→\n 417→\tif errs > 0 {\n 418→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 419→\t}\n 420→\treturn int(n), nil\n 421→}\n 422→\n 423→// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n 424→//\n 425→// Creates checkpoint directory if it doesn't exist. This function must be called\n 426→// before any writes or reads, and can only be called once.\n 427→func (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n 428→\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n 429→\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n 430→\t\tif err != nil {\n 431→\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n 432→\t\t}\n 433→\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n 434→\t}\n 435→\n 436→\treturn m.FromCheckpoint(dir, from)\n 437→}\n 438→\n 439→func (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n 440→\tbr := bufio.NewReader(f)\n 441→\tcf := &CheckpointFile{}\n 442→\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 443→\t\treturn err\n 444→\t}\n 445→\n 446→\tif cf.To != 0 && cf.To < from {\n 447→\t\treturn nil\n 448→\t}\n 449→\n 450→\tif err := l.loadFile(cf, m); err != nil {\n 451→\t\treturn err\n 452→\t}\n 453→\n 454→\treturn nil\n 455→}\n 456→\n 457→func (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n 458→\tfor name, metric := range cf.Metrics {\n 459→\t\tn := len(metric.Data)\n 460→\t\tb := &buffer{\n 461→\t\t\tfrequency: metric.Frequency,\n 462→\t\t\tstart: metric.Start,\n 463→\t\t\tdata: metric.Data[0:n:n],\n 464→\t\t\tprev: nil,\n 465→\t\t\tnext: nil,\n 466→\t\t\tarchived: true,\n 467→\t\t}\n 468→\n 469→\t\tminfo, ok := m.Metrics[name]\n 470→\t\tif !ok {\n 471→\t\t\tcontinue\n 472→\t\t}\n 473→\n 474→\t\tprev := l.metrics[minfo.offset]\n 475→\t\tif prev == nil {\n 476→\t\t\tl.metrics[minfo.offset] = b\n 477→\t\t} else {\n 478→\t\t\tif prev.start > b.start {\n 479→\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n 480→\t\t\t}\n 481→\n 482→\t\t\tb.prev = prev\n 483→\t\t\tprev.next = b\n 484→\t\t}\n 485→\t\tl.metrics[minfo.offset] = b\n 486→\t}\n 487→\n 488→\tif len(cf.Children) > 0 && l.children == nil {\n 489→\t\tl.children = make(map[string]*Level)\n 490→\t}\n 491→\n 492→\tfor sel, childCf := range cf.Children {\n 493→\t\tchild, ok := l.children[sel]\n 494→\t\tif !ok {\n 495→\t\t\tchild = &Level{\n 496→\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n 497→\t\t\t\tchildren: nil,\n 498→\t\t\t}\n 499→\t\t\tl.children[sel] = child\n 500→\t\t}\n 501→\n 502→\t\tif err := child.loadFile(childCf, m); err != nil {\n 503→\t\t\treturn err\n 504→\t\t}\n 505→\t}\n 506→\n 507→\treturn nil\n 508→}\n 509→\n 510→// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n 511→// single host directory. Snapshot files are loaded first (sorted by timestamp),\n 512→// then current.wal is replayed on top.\n 513→func (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n 514→\tdirentries, err := os.ReadDir(dir)\n 515→\tif err != nil {\n 516→\t\tif os.IsNotExist(err) {\n 517→\t\t\treturn 0, nil\n 518→\t\t}\n 519→\t\treturn 0, err\n 520→\t}\n 521→\n 522→\tallFiles := make([]fs.DirEntry, 0)\n 523→\tvar walEntry fs.DirEntry\n 524→\tfilesLoaded := 0\n 525→\n 526→\tfor _, e := range direntries {\n 527→\t\tif e.IsDir() {\n 528→\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n 529→\t\t\t// These are ignored; their data is not loaded.\n 530→\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n 531→\t\t\tcontinue\n 532→\t\t}\n 533→\n 534→\t\tname := e.Name()\n 535→\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n 536→\t\t\tallFiles = append(allFiles, e)\n 537→\t\t} else if name == \"current.wal\" {\n 538→\t\t\twalEntry = e\n 539→\t\t}\n 540→\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n 541→\t}\n 542→\n 543→\tfiles, err := findFiles(allFiles, from, true)\n 544→\tif err != nil {\n 545→\t\treturn filesLoaded, err\n 546→\t}\n 547→\n 548→\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n 549→\t\t\".json\": l.loadJSONFile,\n 550→\t\t\".bin\": l.loadBinaryFile,\n 551→\t}\n 552→\n 553→\tfor _, filename := range files {\n 554→\t\text := filepath.Ext(filename)\n 555→\t\tloader := loaders[ext]\n 556→\t\tif loader == nil {\n 557→\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n 558→\t\t\tcontinue\n 559→\t\t}\n 560→\n 561→\t\terr := func() error {\n 562→\t\t\tf, err := os.Open(path.Join(dir, filename))\n 563→\t\t\tif err != nil {\n 564→\t\t\t\treturn err\n 565→\t\t\t}\n 566→\t\t\tdefer f.Close()\n 567→\t\t\treturn loader(m, f, from)\n 568→\t\t}()\n 569→\t\tif err != nil {\n 570→\t\t\treturn filesLoaded, err\n 571→\t\t}\n 572→\t\tfilesLoaded++\n 573→\t}\n 574→\n 575→\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n 576→\tif walEntry != nil {\n 577→\t\terr := func() error {\n 578→\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n 579→\t\t\tif err != nil {\n 580→\t\t\t\treturn err\n 581→\t\t\t}\n 582→\t\t\tdefer f.Close()\n 583→\t\t\treturn l.loadWALFile(m, f, from)\n 584→\t\t}()\n 585→\t\tif err != nil {\n 586→\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n 587→\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n 588→\t\t} else {\n 589→\t\t\tfilesLoaded++\n 590→\t\t}\n 591→\t}\n 592→\n 593→\treturn filesLoaded, nil\n 594→}\n 595→\n 596→// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n 597→// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\n 598→func parseTimestampFromFilename(name string) (int64, error) {\n 599→\tswitch {\n 600→\tcase strings.HasSuffix(name, \".json\"):\n 601→\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n 602→\tcase strings.HasSuffix(name, \".bin\"):\n 603→\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n 604→\tdefault:\n 605→\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n 606→\t}\n 607→}\n 608→\n 609→// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n 610→// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n 611→// last file before t if t falls between two files).\n 612→func findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n 613→\tnums := map[string]int64{}\n 614→\tfor _, e := range direntries {\n 615→\t\tname := e.Name()\n 616→\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n 617→\t\t\tcontinue\n 618→\t\t}\n 619→\n 620→\t\tts, err := parseTimestampFromFilename(name)\n 621→\t\tif err != nil {\n 622→\t\t\treturn nil, err\n 623→\t\t}\n 624→\t\tnums[name] = ts\n 625→\t}\n 626→\n 627→\tsort.Slice(direntries, func(i, j int) bool {\n 628→\t\ta, b := direntries[i], direntries[j]\n 629→\t\treturn nums[a.Name()] < nums[b.Name()]\n 630→\t})\n 631→\n 632→\tif len(nums) == 0 {\n 633→\t\treturn nil, nil\n 634→\t}\n 635→\n 636→\tfilenames := make([]string, 0)\n 637→\n 638→\tfor i, e := range direntries {\n 639→\t\tts1 := nums[e.Name()]\n 640→\n 641→\t\tif findMoreRecentFiles && t <= ts1 {\n 642→\t\t\tfilenames = append(filenames, e.Name())\n 643→\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n 644→\t\t\tfilenames = append(filenames, e.Name())\n 645→\t\t}\n 646→\n 647→\t\tif i == len(direntries)-1 {\n 648→\t\t\tcontinue\n 649→\t\t}\n 650→\n 651→\t\tenext := direntries[i+1]\n 652→\t\tts2 := nums[enext.Name()]\n 653→\n 654→\t\tif findMoreRecentFiles {\n 655→\t\t\tif ts1 < t && t < ts2 {\n 656→\t\t\t\tfilenames = append(filenames, e.Name())\n 657→\t\t\t}\n 658→\t\t}\n 659→\t}\n 660→\n 661→\treturn filenames, nil\n 662→}\n 663→"}]},"uuid":"89e1ba28-c7de-4028-9fa4-48847b7657ba","timestamp":"2026-03-13T07:54:54.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.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 checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\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\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","numLines":663,"startLine":1,"totalLines":663}},"sourceToolAssistantUUID":"76f05b12-e874-46cd-9175-0f2f9612e301","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019R6RQMGUShLzT4RJE7XYnY","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"4c4e74ce-8707-428f-a6f3-70d4d155bfd0","timestamp":"2026-03-13T07:55:05.146Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"\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}","newString":"\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\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\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}\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":201,"oldLines":12,"newStart":201,"newLines":12,"lines":[" }"," "," for key, child := range l.children {","- m, err := child.free(t)","+ m, empty, err := child.freeAndCheckEmpty(t)"," n += m"," if err != nil {"," return n, err"," }","- if child.isEmpty() {","+ if empty {"," delete(l.children, key)"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"4c4e74ce-8707-428f-a6f3-70d4d155bfd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HVK9JYxHA49WEKBuiNQPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DKmAZbW7vr3W7YJFpWsZX6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"// 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}","new_string":"// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, 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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, 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}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":37147},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"a9a6caef-0095-4614-9a0b-a46df3e7657d","timestamp":"2026-03-13T07:55:12.721Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"a9a6caef-0095-4614-9a0b-a46df3e7657d","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DKmAZbW7vr3W7YJFpWsZX6","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"656af9cd-adcc-49eb-9d27-e990b5f97cc8","timestamp":"2026-03-13T07:55:12.733Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// 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}","newString":"// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, 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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, 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 key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\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\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}\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":214,"oldLines":6,"newStart":214,"newLines":54,"lines":[" return n, nil"," }"," ","+// freeAndCheckEmpty performs free() and atomically checks if the level is empty","+// while still holding its own lock, avoiding a TOCTOU race between free() and","+// a separate isEmpty() call.","+func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {","+ l.lock.Lock()","+ defer l.lock.Unlock()","+","+ n := 0","+ for i, b := range l.metrics {","+ if b != nil {","+ delme, m := b.free(t)","+ n += m","+ if delme {","+ if cap(b.data) != BufferCap {","+ b.data = make([]schema.Float, 0, BufferCap)","+ }","+ b.lastUsed = time.Now().Unix()","+ bufferPool.Put(b)","+ l.metrics[i] = nil","+ }","+ }","+ }","+","+ for key, child := range l.children {","+ m, empty, err := child.freeAndCheckEmpty(t)","+ n += m","+ if err != nil {","+ return n, false, err","+ }","+ if empty {","+ delete(l.children, key)","+ }","+ }","+","+ // Check emptiness while still holding the lock","+ empty := len(l.children) == 0","+ if empty {","+ for _, b := range l.metrics {","+ if b != nil {","+ empty = false","+ break","+ }","+ }","+ }","+","+ return n, empty, nil","+}","+"," // isEmpty returns true if this level has no metrics and no children."," func (l *Level) isEmpty() bool {"," l.lock.RLock()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9a6caef-0095-4614-9a0b-a46df3e7657d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"d77f40bb-16f4-4efd-9967-b7b1e2d6bd08","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WsDQfL7VpQYmgqLbexwbTQ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go has been updated successfully."}]},"uuid":"dfd13cfc-1aa3-4162-995e-a184217ad6df","timestamp":"2026-03-13T07:55:16.510Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"func (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}","newString":"func (m *MemoryStore) FreeAll() error {\n\tm.root.lock.Lock()\n\tdefer m.root.lock.Unlock()\n\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\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\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}\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":754,"oldLines":6,"newStart":754,"newLines":9,"lines":[" }"," "," func (m *MemoryStore) FreeAll() error {","+ m.root.lock.Lock()","+ defer m.root.lock.Unlock()","+"," for k := range m.root.children {"," delete(m.root.children, k)"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d77f40bb-16f4-4efd-9967-b7b1e2d6bd08","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"c437290b-08d1-4418-a4c8-81d553a84c01","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JhGCjyzaq7goXPY74SopYR","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go has been updated successfully."}]},"uuid":"47449396-6df6-4e63-a530-0b46f037b2e3","timestamp":"2026-03-13T07:55:17.405Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go","oldString":"\tif f == 0 || f == 1 {","newString":"\tif f == 1 {","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 contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","structuredPatch":[{"oldStart":127,"oldLines":7,"newStart":127,"newLines":7,"lines":[" // This is commonly used for unit conversion (e.g., bytes to gigabytes)."," // Scaling by 0 or 1 is a no-op for performance reasons."," func (data *APIMetricData) ScaleBy(f schema.Float) {","- if f == 0 || f == 1 {","+ if f == 1 {"," return"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c437290b-08d1-4418-a4c8-81d553a84c01","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"be27b055-2fff-46c3-991a-df976f7cf6aa","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Li1ZB73GEp8TpJfg6khTCs","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/healthcheck.go has been updated successfully."}]},"uuid":"a4f75417-141e-4889-a271-56acf4e09d01","timestamp":"2026-03-13T07:55:19.803Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/healthcheck.go","oldString":"\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]","newString":"\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc, ok := m.Metrics[metricName]\n\t\tif !ok {\n\t\t\tcontinue // unknown metric, will be reported as missing\n\t\t}\n\t\tb := l.metrics[mc.offset]","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\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","structuredPatch":[{"oldStart":66,"oldLines":7,"newStart":66,"newLines":10,"lines":[" if degraded[metricName] {"," continue // already degraded, cannot improve"," }","- mc := m.Metrics[metricName]","+ mc, ok := m.Metrics[metricName]","+ if !ok {","+ continue // unknown metric, will be reported as missing","+ }"," b := l.metrics[mc.offset]"," if b.bufferExists() {"," if !b.isBufferHealthy() {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be27b055-2fff-46c3-991a-df976f7cf6aa","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"a4f75417-141e-4889-a271-56acf4e09d01","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RtpSP3TgcbjSZohnPZvD3M","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":2579,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2579},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzijUzV7d12MoUR431jw","type":"assistant","uuid":"b371e875-a05f-4707-8bc5-89ddf9fe6c28","timestamp":"2026-03-13T07:55:27.167Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"b371e875-a05f-4707-8bc5-89ddf9fe6c28","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RtpSP3TgcbjSZohnPZvD3M","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the current state of level.go to understand the compilation error."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2579,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2579},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzijUzV7d12MoUR431jw","type":"assistant","uuid":"0697f998-e60c-4357-b1c9-bc1c0c56667f","timestamp":"2026-03-13T07:55:28.089Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","toolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","timestamp":"2026-03-13T07:55:28.505Z","uuid":"6615f19a-51a2-49db-bba8-cde37abf3791","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U4rLP8EQjr8N96X7Ur292s","type":"tool_result","content":" 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 key, child := range l.children {\n 204→\t\tm, empty, err := child.freeAndCheckEmpty(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\tif empty {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n 218→// while still holding its own lock, avoiding a TOCTOU race between free() and\n 219→// a separate isEmpty() call.\n 220→func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n 221→\tl.lock.Lock()\n 222→\tdefer l.lock.Unlock()\n 223→\n 224→\tn := 0\n 225→\tfor i, b := range l.metrics {\n 226→\t\tif b != nil {\n 227→\t\t\tdelme, m := b.free(t)\n 228→\t\t\tn += m\n 229→\t\t\tif delme {\n 230→\t\t\t\tif cap(b.data) != BufferCap {\n 231→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 232→\t\t\t\t}\n 233→\t\t\t\tb.lastUsed = time.Now().Unix()\n 234→\t\t\t\tbufferPool.Put(b)\n 235→\t\t\t\tl.metrics[i] = nil\n 236→\t\t\t}\n 237→\t\t}\n 238→\t}\n 239→\n 240→\tfor key, child := range l.children {\n 241→\t\tm, empty, err := child.freeAndCheckEmpty(t)\n 242→\t\tn += m\n 243→\t\tif err != nil {\n 244→\t\t\treturn n, false, err\n 245→\t\t}\n 246→\t\tif empty {\n 247→\t\t\tdelete(l.children, key)\n 248→\t\t}\n 249→\t}\n 250→\n 251→\t// Check emptiness while still holding the lock\n 252→\tempty := len(l.children) == 0\n 253→\tif empty {\n 254→\t\tfor _, b := range l.metrics {\n 255→\t\t\tif b != nil {\n 256→\t\t\t\tempty = false\n 257→\t\t\t\tbreak\n 258→\t\t\t}\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, empty, nil\n 263→}\n 264→\n 265→// isEmpty returns true if this level has no metrics and no children.\n 266→func (l *Level) isEmpty() bool {\n 267→\tl.lock.RLock()\n 268→\tdefer l.lock.RUnlock()\n 269→\n 270→\tfor _, b := range l.metrics {\n 271→\t\tif b != nil {\n 272→\t\t\treturn false\n 273→\t\t}\n 274→\t}\n 275→\treturn len(l.children) == 0\n 276→}\n 277→\n 278→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 279→//"}]},"uuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","timestamp":"2026-03-13T07:55:28.505Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"\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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, 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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, 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//","numLines":110,"startLine":170,"totalLines":459}},"sourceToolAssistantUUID":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011Hr8cfFEVqFLYzJzRz7nK2","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct - `freeAndCheckEmpty` is defined on `*Level`. The diagnostic may be a stale LSP issue. Let me verify it compiles, and also now apply the Improvement 2 (configurable checkpoint interval)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1528,"cache_read_input_tokens":59938,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1528},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzik8BcuguDjxqznrdZz","type":"assistant","uuid":"3b2f768d-8e09-4a1d-a039-a0d522aa34a5","timestamp":"2026-03-13T07:55:33.550Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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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 = 5 * time.Minute\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. 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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 checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\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\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","structuredPatch":[{"oldStart":100,"oldLines":8,"newStart":100,"newLines":15,"lines":[" "," wg.Go(func() {"," ","- const checkpointInterval = 12 * time.Hour","- d := checkpointInterval","+ d := 12 * time.Hour // default checkpoint interval","+ if Keys.CheckpointInterval != \"\" {","+ parsed, err := time.ParseDuration(Keys.CheckpointInterval)","+ if err != nil {","+ cclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)","+ } else {","+ d = parsed","+ }","+ }"," "," ticker := time.NewTicker(d)"," defer ticker.Stop()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1c61dfed-f5f2-4776-b583-2068f16c495a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"8f90310e-f916-4c66-aa8e-43de1a63d0b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017wUiL7CLXZusPqkuYLQu1V","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","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 key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":925,"cache_read_input_tokens":61466,"output_tokens":473,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":925,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzim8GrQsLjTLEqNFs7g","type":"assistant","uuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","timestamp":"2026-03-13T07:55:49.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","timestamp":"2026-03-13T07:55:49.802Z","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 key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, 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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, 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\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}\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":181,"oldLines":37,"newStart":181,"newLines":8,"lines":[" // - int: Total number of buffers freed in this subtree"," // - error: Non-nil on failure (propagated from children)"," func (l *Level) free(t int64) (int, error) {","- l.lock.Lock()","- defer l.lock.Unlock()","-","- n := 0","- for i, b := range l.metrics {","- if b != nil {","- delme, m := b.free(t)","- n += m","- if delme {","- if cap(b.data) != BufferCap {","- b.data = make([]schema.Float, 0, BufferCap)","- }","- b.lastUsed = time.Now().Unix()","- bufferPool.Put(b)","- l.metrics[i] = nil","- }","- }","- }","-","- for key, child := range l.children {","- m, empty, err := child.freeAndCheckEmpty(t)","- n += m","- if err != nil {","- return n, err","- }","- if empty {","- delete(l.children, key)","- }","- }","-","- return n, nil","+ n, _, err := l.freeAndCheckEmpty(t)","+ return n, err"," }"," "," // freeAndCheckEmpty performs free() and atomically checks if the level is empty"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017yPuAEyWhtdfoe8gUqazu6","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it compiles and run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":62391,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimhDFRhHuqj7FWgtNz","type":"assistant","uuid":"c04a2f36-2afe-40f1-b65d-aa571fc16758","timestamp":"2026-03-13T07:55:51.621Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"f5aff8cf-c324-4763-9fe0-87db978dcb68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K3PnRZBfQQXpY2CpvhJKM3","type":"message","role":"assistant","content":[{"type":"text","text":"Compiles cleanly. The `isEmpty()` warning is expected — it's now unused since `freeAndCheckEmpty` handles it inline. Let me check if `isEmpty` is used anywhere else before removing it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":177,"cache_read_input_tokens":62909,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":177},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimvtGkBSvrRz8gN7oP","type":"assistant","uuid":"384e1c8b-8588-4b5a-addf-609f6158408e","timestamp":"2026-03-13T07:55:56.278Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MfhwKVXcJVpTXsnYexGc84","type":"tool_result","content":"Found 1 file\npkg/metricstore/level.go"}]},"uuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","timestamp":"2026-03-13T07:55:56.695Z","toolUseResult":{"mode":"files_with_matches","filenames":["pkg/metricstore/level.go"],"numFiles":1},"sourceToolAssistantUUID":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CksCSJNw7BUGbzEtRu3J2c","type":"message","role":"assistant","content":[{"type":"text","text":"Only used in its own definition. Let me remove it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":275,"cache_read_input_tokens":63086,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":275},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinCj2LW7YCASf9NDuZ","type":"assistant","uuid":"0345c285-8db5-4ac1-a3ef-6996e5544ef5","timestamp":"2026-03-13T07:55:59.456Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017oELaQyXAtCQYm6dB1o3H7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","timestamp":"2026-03-13T07:56:01.159Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// 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","newString":"// forceFree","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\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, 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, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, 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\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}\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":233,"oldLines":19,"newStart":233,"newLines":6,"lines":[" return n, empty, 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":"a0fb350d-a11f-4aab-90af-c2b91894a995","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CdYSEysaeYngdEMoiz86PX","type":"message","role":"assistant","content":[{"type":"text","text":"Now run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":289,"cache_read_input_tokens":63361,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":289},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinXojQJKN8pTz9Q1Ng","type":"assistant","uuid":"90b7899b-af87-47f7-837e-2adb605c0fa6","timestamp":"2026-03-13T07:56:04.074Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"778d670f-c394-4025-9e2c-cefb6aca63a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PPHezUihZzhUxVEJBSaQU","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Let me also check if the config schema validation file needs updating for the new field."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":149,"cache_read_input_tokens":63650,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":149},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinzu9uKHVMdNvWdyrK","type":"assistant","uuid":"3c54923a-b0c0-433c-8fe0-42e2b5025f99","timestamp":"2026-03-13T07:56:10.784Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"04842bc4-79d0-41d0-a001-8cd4cc064f27","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WEocNcdmb7LbKr3qGXyseb","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\n 7→\n 8→const configSchema = `{\n 9→ \"type\": \"object\",\n 10→ \"description\": \"Configuration specific to built-in metric-store.\",\n 11→ \"properties\": {\n 12→ \"num-workers\": {\n 13→ \"description\": \"Number of concurrent workers for checkpoint and archive operations\",\n 14→ \"type\": \"integer\"\n 15→ },\n 16→ \"checkpoints\": {\n 17→ \"description\": \"Configuration for checkpointing the metrics buffers\",\n 18→ \"type\": \"object\",\n 19→ \"properties\": {\n 20→ \"file-format\": {\n 21→ \"description\": \"Specify the format for checkpoint files. Two variants: 'json' (human-readable, periodic) and 'wal' (binary snapshot + Write-Ahead Log, crash-safe). Default is 'wal'.\",\n 22→ \"type\": \"string\"\n 23→ },\n 24→ \"directory\": {\n 25→ \"description\": \"Path in which the checkpointed files should be placed.\",\n 26→ \"type\": \"string\"\n 27→ }\n 28→ }\n 29→ },\n 30→ \"cleanup\": {\n 31→ \"description\": \"Configuration for the cleanup process. 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{"parentUuid":"d030e58c-27b6-4c76-8657-e81d0b77b31c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VYttFbmCj66WLpZiopMVFN","type":"message","role":"assistant","content":[{"type":"text","text":"All changes compile and tests pass. Here's a summary of what was implemented:\n\n**Bug fixes:**\n\n1. **Bug 1 — TOCTOU race in `free()`** (`level.go`): Replaced separate `free()` + `isEmpty()` calls with a single `freeAndCheckEmpty()` method that checks emptiness while still holding the lock. `free()` now delegates to it. Removed the now-unused `isEmpty()` method.\n\n2. **Bug 2 — Wrong index after buffer switch in `stats()`** (`stats.go:45`): Changed `idx = 0` to `idx = int((t - b.start) / b.frequency)` to correctly recalculate the position in the next buffer, matching the fix already applied in `buffer.read()`.\n\n3. **Bug 3 — `FreeAll()` not thread-safe** (`metricstore.go:756`): Added `m.root.lock.Lock()`/`Unlock()` around the map iteration and deletion.\n\n4. **Bug 6 — `ScaleBy(0)` is a no-op** (`api.go:130`): Changed `f == 0 || f == 1` to `f == 1` so scaling by 0 correctly zeroes out data.\n\n5. **Bug 7 — `collectMetricStatus` wrong metric for unknown names** (`healthcheck.go:69`): Added `mc, ok := m.Metrics[metricName]; if !ok { continue }` to skip unknown metrics (they'll be reported as missing).\n\n**Improvement:**\n\n6. **Configurable checkpoint interval** (`config.go`, `configSchema.go`, `checkpoint.go`): Added `CheckpointInterval string` field to `MetricStoreConfig` (json: `\"checkpoint-interval,omitempty\"`). When set, `Checkpointing()` parses it with `time.ParseDuration`; defaults to `12h` when empty/unset."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":153,"cache_read_input_tokens":65335,"output_tokens":462,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":153,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzipENJPwwE9Ucz2Davp","type":"assistant","uuid":"67920e75-0595-4a2f-bb0c-72d8a673e9f6","timestamp":"2026-03-13T07:56:36.758Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"b0431a2f-a694-4ac7-add6-8d7ed02ad42f","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":"What about the other Improvements. Which ones do you recommend"},"uuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","timestamp":"2026-03-13T08:00:53.626Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TGtPYLEukpR66xo7B8mmYY","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the existing plan and the relevant code to evaluate the remaining improvements."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1943,"cache_read_input_tokens":65488,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1943},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjA97qwcpMGu2NmC6NU","type":"assistant","uuid":"3e5c1102-6073-47f2-afd4-929d48780038","timestamp":"2026-03-13T08:00:58.423Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"a311705b-e287-417d-be65-48e8319d621c","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151tuXnUdBy6XbFi2pekKbo","type":"tool_result","content":" 1→# Metricstore In-Depth Review: Bugs & Improvements\n 2→\n 3→## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n 4→**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n 5→\n 6→**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n 7→\n 8→## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n 9→**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n 10→\n 11→**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n 12→\n 13→## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n 14→**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n 15→\n 16→**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n 17→\n 18→## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n 19→**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n 20→\n 21→**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n 22→\n 23→## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n 24→**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n 25→\n 26→**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n 27→\n 28→## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n 29→**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n 30→\n 31→**Fix**: Only skip for factor == 1 (identity), not 0.\n 32→\n 33→## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n 34→**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n 35→\n 36→**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n 37→\n 38→## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n 39→**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n 40→**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n 41→\n 42→## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n 43→**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n 44→**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n 45→\n 46→## IMPROVEMENT 3: `MemoryCap` type mismatch\n 47→**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n 48→**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n 49→\n 50→## IMPROVEMENT 4: No WAL size limit\n 51→**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n 52→**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n 53→\n 54→---\n 55→\n 56→## Files to modify\n 57→\n 58→- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n 59→- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n 60→- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n 61→- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n 62→- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n 63→- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n 64→- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n 65→\n 66→## Verification\n 67→```bash\n 68→go test ./pkg/metricstore/...\n 69→```\n 70→"}]},"uuid":"fefc2425-bb31-4b91-a2e9-e4f01b8339af","timestamp":"2026-03-13T08:00:58.558Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","numLines":70,"startLine":1,"totalLines":70}},"sourceToolAssistantUUID":"a311705b-e287-417d-be65-48e8319d621c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"9262c66a-2699-47cd-9a23-74f57574c738","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KmibhMWpUejnVufQiXqteL","type":"tool_result","content":" 140→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n 141→\t\t\t\treturn nil\n 142→\t\t\t}\n 143→\n 144→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n 145→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 146→\t\t\tif err != nil {\n 147→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 148→\t\t\t\treturn nil\n 149→\t\t\t}\n 150→\n 151→\t\t\t// Write file header magic if file is new (empty).\n 152→\t\t\tinfo, err := f.Stat()\n 153→\t\t\tif err == nil && info.Size() == 0 {\n 154→\t\t\t\tvar hdr [4]byte\n 155→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 156→\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n 157→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 158→\t\t\t\t\tf.Close()\n 159→\t\t\t\t\treturn nil\n 160→\t\t\t\t}\n 161→\t\t\t}\n 162→\n 163→\t\t\thostFiles[hostDir] = &walFileState{f: f}\n 164→\t\t\treturn f\n 165→\t\t}\n 166→\n 167→\t\tprocessMsg := func(msg *WALMessage) {\n 168→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 169→\t\t\tf := getOrOpenWAL(hostDir)\n 170→\t\t\tif f == nil {\n 171→\t\t\t\treturn\n 172→\t\t\t}\n 173→\t\t\tif err := writeWALRecord(f, msg); err != nil {\n 174→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 175→\t\t\t}\n 176→\t\t}\n 177→\n 178→\t\tprocessRotate := func(req walRotateReq) {\n 179→\t\t\tws, ok := hostFiles[req.hostDir]\n 180→\t\t\tif ok && ws.f != nil {\n 181→\t\t\t\tws.f.Close()\n 182→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 183→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 184→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 185→\t\t\t\t}\n 186→\t\t\t\tdelete(hostFiles, req.hostDir)\n 187→\t\t\t}\n 188→\t\t\tclose(req.done)\n 189→\t\t}\n 190→\n 191→\t\tdrain := func() {\n 192→\t\t\tfor {\n 193→\t\t\t\tselect {\n 194→\t\t\t\tcase msg, ok := <-WALMessages:\n 195→\t\t\t\t\tif !ok {\n 196→\t\t\t\t\t\treturn\n 197→\t\t\t\t\t}\n 198→\t\t\t\t\tprocessMsg(msg)\n 199→\t\t\t\tcase req := <-walRotateCh:\n 200→\t\t\t\t\tprocessRotate(req)\n 201→\t\t\t\tdefault:\n 202→\t\t\t\t\treturn\n 203→\t\t\t\t}\n 204→\t\t\t}\n 205→\t\t}\n 206→\n 207→\t\tfor {\n 208→\t\t\tselect {\n 209→\t\t\tcase <-ctx.Done():\n 210→\t\t\t\tdrain()\n 211→\t\t\t\treturn\n 212→\t\t\tcase msg, ok := <-WALMessages:\n 213→\t\t\t\tif !ok {\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t\tprocessMsg(msg)\n 217→\t\t\tcase req := <-walRotateCh:\n 218→\t\t\t\tprocessRotate(req)\n 219→\t\t\t}\n 220→\t\t}\n 221→\t})\n 222→}\n 223→\n 224→// RotateWALFiles sends rotation requests for the given host directories\n 225→// and blocks until all rotations complete.\n 226→func RotateWALFiles(hostDirs []string) {\n 227→\tdones := make([]chan struct{}, len(hostDirs))\n 228→\tfor i, dir := range hostDirs {\n 229→\t\tdones[i] = make(chan struct{})"}]},"uuid":"fab0082c-f89a-4f42-8908-5dea63b0b74e","timestamp":"2026-03-13T08:01:09.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})","numLines":90,"startLine":140,"totalLines":798}},"sourceToolAssistantUUID":"9262c66a-2699-47cd-9a23-74f57574c738","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"f597f659-99fd-404c-bb0b-18189a7dc5d1","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WD4RUrFLHdiG9mXtQAVtan","type":"tool_result","content":" 280→\tbuf = append(buf, val[:]...)\n 281→\n 282→\treturn buf\n 283→}\n 284→\n 285→// writeWALRecord appends a binary WAL record to the file.\n 286→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n 287→func writeWALRecord(f *os.File, msg *WALMessage) error {\n 288→\tpayload := buildWALPayload(msg)\n 289→\tcrc := crc32.ChecksumIEEE(payload)\n 290→\n 291→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n 292→\n 293→\tvar magic [4]byte\n 294→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n 295→\trecord = append(record, magic[:]...)\n 296→\n 297→\tvar pLen [4]byte\n 298→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n 299→\trecord = append(record, pLen[:]...)\n 300→\n 301→\trecord = append(record, payload...)\n 302→\n 303→\tvar crcBytes [4]byte\n 304→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n 305→\trecord = append(record, crcBytes[:]...)\n 306→\n 307→\t_, err := f.Write(record)\n 308→\treturn err\n 309→}\n 310→\n 311→// readWALRecord reads one WAL record from the reader.\n 312→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n 313→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n 314→func readWALRecord(r io.Reader) (*WALMessage, error) {\n 315→\tvar magic uint32\n 316→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n 317→\t\tif err == io.EOF {\n 318→\t\t\treturn nil, nil // Clean EOF\n 319→\t\t}\n 320→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n 321→\t}\n 322→\n 323→\tif magic != walRecordMagic {\n 324→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n 325→\t}\n 326→\n 327→\tvar payloadLen uint32\n 328→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n 329→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n 330→\t}\n 331→\n 332→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n 333→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n 334→\t}\n 335→\n 336→\tpayload := make([]byte, payloadLen)\n 337→\tif _, err := io.ReadFull(r, payload); err != nil {\n 338→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n 339→\t}"}]},"uuid":"40b91b5c-4b2b-4e34-927c-122e59aa4f8d","timestamp":"2026-03-13T08:01:10.692Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}","numLines":60,"startLine":280,"totalLines":798}},"sourceToolAssistantUUID":"f597f659-99fd-404c-bb0b-18189a7dc5d1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","toolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","timestamp":"2026-03-13T08:01:11.588Z","uuid":"5c77d6e3-5187-465e-b1fa-e52eb45fff65","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MerKUXPgreiAK7DhxsoMcn","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 walCheckpoint.go: WAL-based checkpoint implementation.\n 7→//\n 8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n 9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n 10→// truly continuous (per-write) crash safety.\n 11→//\n 12→// # Architecture\n 13→//\n 14→//\tMetric write (DecodeLine)\n 15→//\t │\n 16→//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n 17→//\t │\n 18→//\t └─► WALMessages channel\n 19→//\t │\n 20→//\t ▼\n 21→//\t WALStaging goroutine\n 22→//\t │\n 23→//\t ▼\n 24→//\t checkpoints/cluster/host/current.wal (append-only, binary)\n 25→//\n 26→//\tPeriodic checkpoint (Checkpointing goroutine):\n 27→//\t 1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n 28→//\t 2. Signal WALStaging to truncate current.wal per host\n 29→//\n 30→//\tOn restart (FromCheckpoint):\n 31→//\t 1. Load most recent <timestamp>.bin snapshot\n 32→//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n 33→//\n 34→// # WAL Record Format\n 35→//\n 36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n 37→//\n 38→//\tpayload:\n 39→//\t [8B timestamp int64]\n 40→//\t [2B metric_name_len uint16][N metric name bytes]\n 41→//\t [1B selector_count uint8]\n 42→//\t per selector: [1B selector_len uint8][M selector bytes]\n 43→//\t [4B value float32 bits]\n 44→//\n 45→// # Binary Snapshot Format\n 46→//\n 47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n 48→//\tLevel tree (recursive):\n 49→//\t [4B num_metrics uint32]\n 50→//\t per metric:"}]},"uuid":"823cbbda-d61c-4309-8855-a551ab7ba41c","timestamp":"2026-03-13T08:01:11.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.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 walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write <timestamp>.bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent <timestamp>.bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:","numLines":50,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KBMVArxUVgtnWAaDeSaHhE","type":"tool_result","content":" 50→//\t per metric:\n 51→//\t [2B name_len uint16][N name bytes]\n 52→//\t [8B frequency int64][8B start int64]\n 53→//\t [4B num_values uint32][num_values × 4B float32]\n 54→//\t [4B num_children uint32]\n 55→//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\n 56→package metricstore\n 57→\n 58→import (\n 59→\t\"bufio\"\n 60→\t\"context\"\n 61→\t\"encoding/binary\"\n 62→\t\"fmt\"\n 63→\t\"hash/crc32\"\n 64→\t\"io\"\n 65→\t\"math\"\n 66→\t\"os\"\n 67→\t\"path\"\n 68→\t\"strings\"\n 69→\t\"sync\"\n 70→\t\"sync/atomic\"\n 71→\n 72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 74→)\n 75→\n 76→// Magic numbers for binary formats.\n 77→const (\n 78→\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n 79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n 80→\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n 81→)\n 82→\n 83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n 84→// Buffered to allow burst writes without blocking the metric ingestion path.\n 85→var WALMessages = make(chan *WALMessage, 4096)\n 86→\n 87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n 88→// (close, delete, reopen) after a binary snapshot has been written.\n 89→var walRotateCh = make(chan walRotateReq, 256)\n 90→\n 91→// WALMessage represents a single metric write to be appended to the WAL.\n 92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n 93→type WALMessage struct {\n 94→\tMetricName string\n 95→\tCluster string\n 96→\tNode string\n 97→\tSelector []string\n 98→\tValue schema.Float\n 99→\tTimestamp int64\n 100→}\n 101→\n 102→// walRotateReq requests WAL file rotation for a specific host directory.\n 103→// The done channel is closed by the WAL goroutine when rotation is complete.\n 104→type walRotateReq struct {\n 105→\thostDir string\n 106→\tdone chan struct{}\n 107→}\n 108→\n 109→// walFileState holds an open WAL file handle for one host directory.\n 110→type walFileState struct {\n 111→\tf *os.File\n 112→}\n 113→\n 114→// WALStaging starts a background goroutine that receives WALMessage items\n 115→// and appends binary WAL records to per-host current.wal files.\n 116→// Also handles WAL rotation requests from the checkpoint goroutine.\n 117→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n 118→\twg.Go(func() {\n 119→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n 120→\t\t\treturn\n 121→\t\t}\n 122→\n 123→\t\thostFiles := make(map[string]*walFileState)\n 124→\n 125→\t\tdefer func() {\n 126→\t\t\tfor _, ws := range hostFiles {\n 127→\t\t\t\tif ws.f != nil {\n 128→\t\t\t\t\tws.f.Close()\n 129→\t\t\t\t}\n 130→\t\t\t}\n 131→\t\t}()\n 132→\n 133→\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n 134→\t\t\tws, ok := hostFiles[hostDir]\n 135→\t\t\tif ok {\n 136→\t\t\t\treturn ws.f\n 137→\t\t\t}\n 138→\n 139→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {"}]},"uuid":"95b85559-01a0-45dd-8144-5c84022f789c","timestamp":"2026-03-13T08:01:24.868Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","numLines":90,"startLine":50,"totalLines":798}},"sourceToolAssistantUUID":"0ab4023c-98fd-4e82-b5cb-096af447f804","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"95b85559-01a0-45dd-8144-5c84022f789c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018vRivQZUwsWpRAaY1D3FAM","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Here's my assessment of the remaining improvements:\n\n**Improvement 1 (WAL buffering)** — **Recommend: YES.** Each metric write does a separate `f.Write()` syscall (line 307). With thousands of metrics/sec across hundreds of hosts, this is a significant I/O bottleneck. The `walFileState` struct already exists and can hold a `bufio.Writer`. The WAL staging goroutine is single-threaded, so no extra synchronization needed. Flush on rotation and on shutdown. Low risk, high impact.\n\n**Improvement 3 (MemoryCap docs)** — **Recommend: YES, trivial.** The config schema already says \"in GB\" (line 58 of configSchema.go), but the struct comment in config.go says \"bytes\". Just fix the comment. One line change.\n\n**Improvement 4 (WAL size limit)** — **Recommend: NO, not yet.** This adds significant complexity (tracking file sizes per host, triggering mid-cycle checkpoints, coordinating with the checkpoint goroutine). The checkpoint interval is now configurable (Improvement 2, already done), so users can reduce WAL accumulation by shortening the interval. The ROI isn't there until there's evidence of actual WAL size problems in production.\n\n**Bug 5 (periodic fsync)** — **Recommend: NO for now.** The CRC check already handles corrupt trailing records gracefully on crash. Adding periodic fsync adds complexity and I/O overhead. The WAL is a best-effort crash recovery mechanism on top of the binary snapshots — losing a few seconds of data on crash is acceptable. If durability requirements increase, revisit.\n\nSo I'd recommend implementing **Improvement 1** (WAL buffering) and **Improvement 3** (fix the misleading comment). Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":73114,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1258},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjCQ3aXKLLxwxMvm9rT","type":"assistant","uuid":"c8dd12c9-f6d7-4d2e-a8cc-d8e9adfcb9ef","timestamp":"2026-03-13T08:01:41.029Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019Nnx9e4GQtWD965k1KSn1C","type":"tool_result","content":" 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→\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n 127→\tMemoryCap int `json:\"memory-cap\"`\n 128→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 129→\tDebug *Debug `json:\"debug\"`\n 130→\tCleanup *Cleanup `json:\"cleanup\"`\n 131→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 132→}"}]},"uuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","timestamp":"2026-03-13T08:01:41.977Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// 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\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\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}","numLines":25,"startLine":108,"totalLines":255}},"sourceToolAssistantUUID":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WhatmPCUMs1HumqgCUrRkE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HCEXJ2guGau9H3fi2UrU44","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","old_string":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","new_string":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":74372,"output_tokens":2522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1033,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjDex3rXF5PJnDh39c5","type":"assistant","uuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","timestamp":"2026-03-13T08:02:43.693Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```</tool_use_error>","is_error":true,"tool_use_id":"toolu_01HCEXJ2guGau9H3fi2UrU44"}]},"uuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","timestamp":"2026-03-13T08:02:43.710Z","toolUseResult":"Error: String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","sourceToolAssistantUUID":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0174EGFijckFCJQh7kMA6osu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4702,"cache_read_input_tokens":75405,"output_tokens":496,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4702,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjJCtmuZMnBkg9sMb7U","type":"assistant","uuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","timestamp":"2026-03-13T08:02:51.225Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","type":"tool_result","content":"The file /Users/jan/.claude/plans/linear-roaming-glade.md has been updated successfully."}]},"uuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","timestamp":"2026-03-13T08:02:51.244Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":67,"newStart":1,"newLines":25,"lines":["-# Metricstore In-Depth Review: Bugs & Improvements","+# Remaining Improvements for Metricstore"," ","-## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)","-**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.","+## IMPROVEMENT 1: WAL buffering — RECOMMEND","+- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`","+- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall","+- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)","+- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`","+- Flush in `processRotate` (line 178) before Close","+- Flush in defer cleanup (line 126) before Close","+- Flush in `drain()` (line 191) after processing remaining messages"," ","-**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.","+## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)","+- `config.go:116` comment says \"Max bytes\" but code treats it as GB","+- Fix comment to say \"Max memory in GB\""," ","-## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)","-**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).","-","-**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).","-","-## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)","-**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.","-","-**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.","-","-## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)","-**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.","-","-**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.","-","-## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)","-**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.","-","-**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.","-","-## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)","-**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.","-","-**Fix**: Only skip for factor == 1 (identity), not 0.","-","-## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)","-**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.","-","-**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.","-","-## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)","-**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.","-**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.","-","-## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)","-**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.","-**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.","-","-## IMPROVEMENT 3: `MemoryCap` type mismatch","-**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.","-**Fix**: Clarify the unit in docs/config schema; it's actually GB.","-","-## IMPROVEMENT 4: No WAL size limit","-**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.","-**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.","-","----","-"," ## Files to modify","+- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain","+- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\""," ","-- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call","-- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`","-- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`","-- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`","-- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`","-- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)","-- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`","+## NOT recommended now","+- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever","+- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots"," "," ## Verification"," ```bash"]}],"originalFile":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"sourceToolAssistantUUID":"38de12e3-30e5-41ab-b965-19db7f94a36a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
{"parentUuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018bGCx5RWVye6eNxL2Qf8RY","type":"message","role":"assistant","content":[{"type":"text","text":"Here's my recommendation on the remaining improvements:\n\n**Implement:**\n- **Improvement 1 (WAL buffering)** — Each WAL write currently does a raw `f.Write()` syscall. With thousands of metrics/sec, this is excessive I/O. Adding a `bufio.Writer` per host WAL file is straightforward (the `walFileState` struct and single-threaded goroutine make it clean) and gives significant throughput improvement.\n- **Improvement 3 (MemoryCap comment)** — Trivial one-line fix. The struct comment says \"bytes\" but the code compares against GB.\n\n**Skip for now:**\n- **Improvement 4 (WAL size limit)** — High complexity (size tracking per host, mid-cycle checkpoint triggers, goroutine coordination). The checkpoint interval is now configurable, which is the simpler lever to reduce WAL accumulation.\n- **Bug 5 (periodic fsync)** — CRC validation already handles corrupt trailing records on replay. The WAL is best-effort crash recovery on top of binary snapshots. Adding fsync adds I/O overhead for marginal durability gains."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":626,"cache_read_input_tokens":80107,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":626},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjJm7GWD4oXbSBD4Yww","type":"assistant","uuid":"2408f0d5-6b96-4911-b2f8-ddbe5489f913","timestamp":"2026-03-13T08:02:59.418Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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{"parentUuid":"c903bf5a-3f82-4418-8f27-63f5ff5f8d11","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MQh2471cEgWjNpaXkdFRBi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MoEHmJVmP3httRUGuGJ2L5","name":"ExitPlanMode","input":{"plan":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1002,"cache_read_input_tokens":80733,"output_tokens":39,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1002,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjKQ9Uh4DM3TodAfjNC","type":"assistant","uuid":"ee1ae455-39b2-4008-8b60-51ce5b7aabc9","timestamp":"2026-03-13T08:03:03.126Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"}
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