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Jan Eitzinger 04cbc95de4 Checkpoint: dd6b5959d7c6 
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{"parentUuid":"d51ec641-d695-4554-8883-b642a686582a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VpSXSP8nfgS6yETqA9HTnT","type":"tool_result","content":" 1→# ClusterCockpit Metric Store\n 2→\n 3→[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n 4→\n 5→The cc-metric-store provides a simple in-memory time series database for storing\n 6→metrics of cluster nodes at preconfigured intervals. It is meant to be used as\n 7→part of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\n 8→data is kept in-memory (but written to disk as compressed JSON for long term\n 9→storage), accessing it is very fast. It also provides topology aware\n 10→aggregations over time _and_ nodes/sockets/cpus.\n 11→\n 12→There are major limitations: Data only gets written to disk at periodic\n 13→checkpoints, not as soon as it is received. Also only the fixed configured\n 14→duration is stored and available.\n 15→\n 16→Go look at the [GitHub\n 17→Issues](https://github.com/ClusterCockpit/cc-metric-store/issues) for a progress\n 18→overview. The [NATS.io](https://nats.io/) based writing endpoint consumes messages in [this\n 19→format of the InfluxDB line\n 20→protocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n 21→\n 22→## Building\n 23→\n 24→`cc-metric-store` can be built using the provided `Makefile`.\n 25→It supports the following targets:\n 26→\n 27→- `make`: Build the application, copy a example configuration file and generate\n 28→ checkpoint folders if required.\n 29→- `make clean`: Clean the golang build cache and application binary\n 30→- `make distclean`: In addition to the clean target also remove the `./var`\n 31→ folder\n 32→- `make swagger`: Regenerate the Swagger files from the source comments.\n 33→- `make test`: Run test and basic checks.\n 34→\n 35→## REST API Endpoints\n 36→\n 37→The REST API is documented in [swagger.json](./api/swagger.json). You can\n 38→explore and try the REST API using the integrated [SwaggerUI web\n 39→interface](http://localhost:8082/swagger).\n 40→\n 41→For more information on the `cc-metric-store` REST API have a look at the\n 42→ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/)\n 43→\n 44→## Run tests\n 45→\n 46→Some benchmarks concurrently access the `MemoryStore`, so enabling the\n 47→[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\n 48→The benchmarks also work as tests as they do check if the returned values are as\n 49→expected.\n 50→\n 51→```sh\n 52→# Tests only\n 53→go test -v ./...\n 54→\n 55→# Benchmarks as well\n 56→go test -bench=. -race -v ./...\n 57→```\n 58→\n 59→## What are these selectors mentioned in the code?\n 60→\n 61→The cc-metric-store works as a time-series database and uses the InfluxDB line\n 62→protocol as input format. Unlike InfluxDB, the data is indexed by one single\n 63→strictly hierarchical tree structure. A selector is build out of the tags in the\n 64→InfluxDB line protocol, and can be used to select a node (not in the sense of a\n 65→compute node, can also be a socket, cpu, ...) in that tree. The implementation\n 66→calls those nodes `level` to avoid confusion. It is impossible to access data\n 67→only by knowing the _socket_ or _cpu_ tag, all higher up levels have to be\n 68→specified as well.\n 69→\n 70→This is what the hierarchy currently looks like:\n 71→\n 72→- cluster1\n 73→ - host1\n 74→ - socket0\n 75→ - socket1\n 76→ - ...\n 77→ - cpu1\n 78→ - cpu2\n 79→ - cpu3\n 80→ - cpu4\n 81→ - ...\n 82→ - gpu1\n 83→ - gpu2\n 84→ - host2\n 85→ - ...\n 86→- cluster2\n 87→- ...\n 88→\n 89→Example selectors:\n 90→\n 91→1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n 92→2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n 93→3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as floats, all CPUs are implied\n 94→\n 95→## Config file\n 96→\n 97→You find the configuration options on the ClusterCockpit [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n 98→\n 99→## Test the complete setup (excluding cc-backend itself)\n 100→\n 101→There are two ways for sending data to the cc-metric-store, both of which are\n 102→supported by the\n 103→[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\n 104→This example uses NATS, the alternative is to use HTTP.\n 105→\n 106→```sh\n 107→# Only needed once, downloads the docker image\n 108→docker pull nats:latest\n 109→\n 110→# Start the NATS server\n 111→docker run -p 4222:4222 -ti nats:latest\n 112→```\n 113→\n 114→Second, build and start the\n 115→[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\n 116→using the following as Sink-Config:\n 117→\n 118→```json\n 119→{\n 120→ \"type\": \"nats\",\n 121→ \"host\": \"localhost\",\n 122→ \"port\": \"4222\",\n 123→ \"database\": \"updates\"\n 124→}\n 125→```\n 126→\n 127→Third, build and start the metric store. For this example here, the\n 128→`config.json` file already in the repository should work just fine.\n 129→\n 130→```sh\n 131→# Assuming you have a clone of this repo in ./cc-metric-store:\n 132→cd cc-metric-store\n 133→make\n 134→./cc-metric-store\n 135→```\n 136→\n 137→And finally, use the API to fetch some data. The API is protected by JWT based\n 138→authentication if `jwt-public-key` is set in `config.json`. You can use this JWT\n 139→for testing:\n 140→`REDACTED`\n 141→\n 142→```sh\n 143→JWT=\"REDACTED\"\n 144→\n 145→# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\n 146→curl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/query\" -d \"{ \\\"cluster\\\": \\\"testcluster\\\", \\\"from\\\": $(expr $(date +%s) - 60), \\\"to\\\": $(date +%s), \\\"queries\\\": [{\n 147→ \\\"metric\\\": \\\"load_one\\\",\n 148→ \\\"host\\\": \\\"$(hostname)\\\"\n 149→}] }\"\n 150→\n 151→# ...\n 152→```\n 153→\n 154→For debugging there is a debug endpoint to dump the current content to stdout:\n 155→\n 156→```sh\n 157→JWT=\"REDACTED\"\n 158→\n 159→# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\n 160→curl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/debug\"\n 161→\n 162→# ...\n 163→```\n 164→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"02b432fe-902a-46a9-83e4-c69f605fa03a","timestamp":"2026-03-04T10:08:23.013Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","content":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory (but written to disk as compressed JSON for long term\nstorage), accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nGo look at the [GitHub\nIssues](https://github.com/ClusterCockpit/cc-metric-store/issues) for a progress\noverview. The [NATS.io](https://nats.io/) based writing endpoint consumes messages in [this\nformat of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy a example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run test and basic checks.\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/)\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is build out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag, all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as floats, all CPUs are implied\n\n## Config file\n\nYou find the configuration options on the ClusterCockpit [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS, the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\ncurl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/query\" -d \"{ \\\"cluster\\\": \\\"testcluster\\\", \\\"from\\\": $(expr $(date +%s) - 60), \\\"to\\\": $(date +%s), \\\"queries\\\": [{\n \\\"metric\\\": \\\"load_one\\\",\n \\\"host\\\": \\\"$(hostname)\\\"\n}] }\"\n\n# ...\n```\n\nFor debugging there is a debug endpoint to dump the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\ncurl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/debug\"\n\n# ...\n```\n","numLines":164,"startLine":1,"totalLines":164}},"sourceToolAssistantUUID":"d51ec641-d695-4554-8883-b642a686582a"}
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This file is part of cc-metric-store.\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 main\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"flag\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"os/signal\"\n 14→\t\"runtime/debug\"\n 15→\t\"sync\"\n 16→\t\"syscall\"\n 17→\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 20→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 23→\t\"github.com/ClusterCockpit/cc-metric-store/internal/api\"\n 24→\t\"github.com/ClusterCockpit/cc-metric-store/internal/config\"\n 25→\t\"github.com/google/gops/agent\"\n 26→)\n 27→\n 28→const (\n 29→\tenvGOGC = \"GOGC\"\n 30→)\n 31→\n 32→var (\n 33→\tdate string\n 34→\tcommit string\n 35→\tversion string\n 36→)\n 37→\n 38→var (\n 39→\tflagGops, flagVersion, flagDev, flagLogDateTime bool\n 40→\tflagConfigFile, flagLogLevel string\n 41→)\n 42→\n 43→func printVersion() {\n 44→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 45→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 46→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 47→}\n 48→\n 49→func runServer(ctx context.Context) error {\n 50→\tvar wg sync.WaitGroup\n 51→\n 52→\tmscfg := ccconf.GetPackageConfig(\"metrics\")\n 53→\tif mscfg == nil {\n 54→\t\treturn fmt.Errorf(\"missing metrics configuration\")\n 55→\t}\n 56→\tconfig.InitMetrics(mscfg)\n 57→\n 58→\tmscfg = ccconf.GetPackageConfig(\"metric-store\")\n 59→\tif mscfg == nil {\n 60→\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n 61→\t}\n 62→\n 63→\tmetricstore.Init(mscfg, config.GetMetrics(), &wg)\n 64→\n 65→\t// Set GC percent if not configured\n 66→\tif os.Getenv(envGOGC) == \"\" {\n 67→\t\tdebug.SetGCPercent(15)\n 68→\t}\n 69→\n 70→\tif config.Keys.BackendURL != \"\" {\n 71→\t\tms := metricstore.GetMemoryStore()\n 72→\t\tms.SetNodeProvider(api.NewBackendNodeProvider(config.Keys.BackendURL))\n 73→\t\tcclog.Infof(\"Node provider configured with backend URL: %s\", config.Keys.BackendURL)\n 74→\t}\n 75→\n 76→\t// Initialize HTTP server\n 77→\tsrv, err := NewServer(version, commit, date)\n 78→\tif err != nil {\n 79→\t\treturn fmt.Errorf(\"creating server: %w\", err)\n 80→\t}\n 81→\n 82→\t// Channel to collect errors from server\n 83→\terrChan := make(chan error, 1)\n 84→\n 85→\t// Start HTTP server\n 86→\twg.Go(func() {\n 87→\t\tif err := srv.Start(ctx); err != nil {\n 88→\t\t\terrChan <- err\n 89→\t\t}\n 90→\t})\n 91→\n 92→\t// Handle shutdown signals\n 93→\twg.Add(1)\n 94→\tsigs := make(chan os.Signal, 1)\n 95→\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n 96→\tgo func() {\n 97→\t\tdefer wg.Done()\n 98→\t\tselect {\n 99→\t\tcase <-sigs:\n 100→\t\t\tcclog.Info(\"Shutdown signal received\")\n 101→\t\tcase <-ctx.Done():\n 102→\t\t}\n 103→\n 104→\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n 105→\t\tsrv.Shutdown(ctx)\n 106→\t}()\n 107→\n 108→\truntime.SystemdNotify(true, \"running\")\n 109→\n 110→\t// Wait for completion or errors\n 111→\tgo func() {\n 112→\t\twg.Wait()\n 113→\t\tclose(errChan)\n 114→\t}()\n 115→\n 116→\t// Wait for either server startup error or shutdown completion\n 117→\tif err := <-errChan; err != nil {\n 118→\t\treturn err\n 119→\t}\n 120→\n 121→\tcclog.Print(\"Graceful shutdown completed!\")\n 122→\treturn nil\n 123→}\n 124→\n 125→func run() error {\n 126→\tflag.BoolVar(&flagGops, \"gops\", false, \"Listen via github.com/google/gops/agent (for debugging)\")\n 127→\tflag.BoolVar(&flagDev, \"dev\", false, \"Enable development component: Swagger UI\")\n 128→\tflag.BoolVar(&flagVersion, \"version\", false, \"Show version information and exit\")\n 129→\tflag.BoolVar(&flagLogDateTime, \"logdate\", false, \"Set this flag to add date and time to log messages\")\n 130→\tflag.StringVar(&flagConfigFile, \"config\", \"./config.json\", \"Specify alternative path to `config.json`\")\n 131→\tflag.StringVar(&flagLogLevel, \"loglevel\", \"warn\", \"Sets the logging level: `[debug, info, warn (default), err, crit]`\")\n 132→\tflag.Parse()\n 133→\n 134→\tif flagVersion {\n 135→\t\tprintVersion()\n 136→\t\treturn nil\n 137→\t}\n 138→\n 139→\tcclog.Init(flagLogLevel, flagLogDateTime)\n 140→\n 141→\tif flagGops || config.Keys.Debug.EnableGops {\n 142→\t\tif err := agent.Listen(agent.Options{}); err != nil {\n 143→\t\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 144→\t\t}\n 145→\t}\n 146→\n 147→\tccconf.Init(flagConfigFile)\n 148→\n 149→\tcfg := ccconf.GetPackageConfig(\"main\")\n 150→\tif cfg == nil {\n 151→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 152→\t}\n 153→\n 154→\tconfig.Init(cfg)\n 155→\n 156→\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n 157→\tif err := nats.Init(natsConfig); err != nil {\n 158→\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n 159→\t}\n 160→\tnats.Connect()\n 161→\n 162→\tctx, cancel := context.WithCancel(context.Background())\n 163→\tdefer cancel()\n 164→\n 165→\treturn runServer(ctx)\n 166→}\n 167→\n 168→func main() {\n 169→\tif err := run(); err != nil {\n 170→\t\tcclog.Error(err.Error())\n 171→\t\tos.Exit(1)\n 172→\t}\n 173→}\n 174→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d6a2e619-34c8-423b-868b-183c2e9ed15b","timestamp":"2026-03-04T10:08:26.357Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/cmd/cc-metric-store/main.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-metric-store.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage main\n\nimport (\n\t\"context\"\n\t\"flag\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"sync\"\n\t\"syscall\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-metric-store/internal/api\"\n\t\"github.com/ClusterCockpit/cc-metric-store/internal/config\"\n\t\"github.com/google/gops/agent\"\n)\n\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nvar (\n\tflagGops, flagVersion, flagDev, flagLogDateTime bool\n\tflagConfigFile, flagLogLevel string\n)\n\nfunc printVersion() {\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\tmscfg := ccconf.GetPackageConfig(\"metrics\")\n\tif mscfg == nil {\n\t\treturn fmt.Errorf(\"missing metrics configuration\")\n\t}\n\tconfig.InitMetrics(mscfg)\n\n\tmscfg = ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg == nil {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\tmetricstore.Init(mscfg, config.GetMetrics(), &wg)\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\tdebug.SetGCPercent(15)\n\t}\n\n\tif config.Keys.BackendURL != \"\" {\n\t\tms := metricstore.GetMemoryStore()\n\t\tms.SetNodeProvider(api.NewBackendNodeProvider(config.Keys.BackendURL))\n\t\tcclog.Infof(\"Node provider configured with backend URL: %s\", config.Keys.BackendURL)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t}()\n\n\truntime.SystemdNotify(true, \"running\")\n\n\t// Wait for completion or errors\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either server startup error or shutdown completion\n\tif err := <-errChan; err != nil {\n\t\treturn err\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tflag.BoolVar(&flagGops, \"gops\", false, \"Listen via github.com/google/gops/agent (for debugging)\")\n\tflag.BoolVar(&flagDev, \"dev\", false, \"Enable development component: Swagger UI\")\n\tflag.BoolVar(&flagVersion, \"version\", false, \"Show version information and exit\")\n\tflag.BoolVar(&flagLogDateTime, \"logdate\", false, \"Set this flag to add date and time to log messages\")\n\tflag.StringVar(&flagConfigFile, \"config\", \"./config.json\", \"Specify alternative path to `config.json`\")\n\tflag.StringVar(&flagLogLevel, \"loglevel\", \"warn\", \"Sets the logging level: `[debug, info, warn (default), err, crit]`\")\n\tflag.Parse()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\tif flagGops || config.Keys.Debug.EnableGops {\n\t\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t\t}\n\t}\n\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","numLines":174,"startLine":1,"totalLines":174}},"sourceToolAssistantUUID":"1c14bacb-a9a4-45e9-b6bf-466a4bf30b31"}
{"parentUuid":"d6a2e619-34c8-423b-868b-183c2e9ed15b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_01D1S2j3W8Uo8oyaAswvuH8L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RvH73Bffs6CYFTsRix3Byj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-metric-store/configs/config.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3092,"cache_read_input_tokens":21795,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3092},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYhrbmx6ZykAS3Nywc1bA","type":"assistant","uuid":"2a01f833-608f-45dc-bf66-a767c1889c5a","timestamp":"2026-03-04T10:08:26.762Z"}
{"parentUuid":"2a01f833-608f-45dc-bf66-a767c1889c5a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RvH73Bffs6CYFTsRix3Byj","toolUseID":"toolu_01RvH73Bffs6CYFTsRix3Byj","timestamp":"2026-03-04T10:08:26.775Z","uuid":"fc03393f-41af-4f43-9bd1-ac8e3d2e7828"}
{"parentUuid":"2a01f833-608f-45dc-bf66-a767c1889c5a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RvH73Bffs6CYFTsRix3Byj","type":"tool_result","content":" 1→{\n 2→ \"main\": {\n 3→ \"addr\": \"0.0.0.0:8082\",\n 4→ \"https-cert-file\": \"\",\n 5→ \"https-key-file\": \"\",\n 6→ \"jwt-public-key\": \"REDACTED\"\n 7→ },\n 8→ \"nats\": {\n 9→ \"address\": \"nats://0.0.0.0:4222\",\n 10→ \"username\": \"root\",\n 11→ \"password\": \"root\"\n 12→ },\n 13→ \"metric-store\": {\n 14→ \"checkpoints\": {\n 15→ \"interval\": \"12h\",\n 16→ \"directory\": \"./var/checkpoints\"\n 17→ },\n 18→ \"memory-cap\": 100,\n 19→ \"retention-in-memory\": \"48h\",\n 20→ \"cleanup\": {\n 21→ \"mode\": \"archive\",\n 22→ \"interval\": \"48h\",\n 23→ \"directory\": \"./var/archive\"\n 24→ },\n 25→ \"nats-subscriptions\": [\n 26→ {\n 27→ \"subscribe-to\": \"hpc-nats\",\n 28→ \"cluster-tag\": \"fritz\"\n 29→ },\n 30→ {\n 31→ \"subscribe-to\": \"hpc-nats\",\n 32→ \"cluster-tag\": \"alex\"\n 33→ }\n 34→ ]\n 35→ },\n 36→ \"metrics\": {\n 37→ \"debug_metric\": {\n 38→ \"frequency\": 60,\n 39→ \"aggregation\": \"avg\"\n 40→ },\n 41→ \"clock\": {\n 42→ \"frequency\": 60,\n 43→ \"aggregation\": \"avg\"\n 44→ },\n 45→ \"cpu_idle\": {\n 46→ \"frequency\": 60,\n 47→ \"aggregation\": \"avg\"\n 48→ },\n 49→ \"cpu_iowait\": {\n 50→ \"frequency\": 60,\n 51→ \"aggregation\": \"avg\"\n 52→ },\n 53→ \"cpu_irq\": {\n 54→ \"frequency\": 60,\n 55→ \"aggregation\": \"avg\"\n 56→ },\n 57→ \"cpu_system\": {\n 58→ \"frequency\": 60,\n 59→ \"aggregation\": \"avg\"\n 60→ },\n 61→ \"cpu_user\": {\n 62→ \"frequency\": 60,\n 63→ \"aggregation\": \"avg\"\n 64→ },\n 65→ \"nv_mem_util\": {\n 66→ \"frequency\": 60,\n 67→ \"aggregation\": \"avg\"\n 68→ },\n 69→ \"nv_temp\": {\n 70→ \"frequency\": 60,\n 71→ \"aggregation\": \"avg\"\n 72→ },\n 73→ \"nv_sm_clock\": {\n 74→ \"frequency\": 60,\n 75→ \"aggregation\": \"avg\"\n 76→ },\n 77→ \"acc_utilization\": {\n 78→ \"frequency\": 60,\n 79→ \"aggregation\": \"avg\"\n 80→ },\n 81→ \"acc_mem_used\": {\n 82→ \"frequency\": 60,\n 83→ \"aggregation\": \"sum\"\n 84→ },\n 85→ \"acc_power\": {\n 86→ \"frequency\": 60,\n 87→ \"aggregation\": \"sum\"\n 88→ },\n 89→ \"flops_any\": {\n 90→ \"frequency\": 60,\n 91→ \"aggregation\": \"sum\"\n 92→ },\n 93→ \"flops_dp\": {\n 94→ \"frequency\": 60,\n 95→ \"aggregation\": \"sum\"\n 96→ },\n 97→ \"flops_sp\": {\n 98→ \"frequency\": 60,\n 99→ \"aggregation\": \"sum\"\n 100→ },\n 101→ \"ib_recv\": {\n 102→ \"frequency\": 60,\n 103→ \"aggregation\": \"sum\"\n 104→ },\n 105→ \"ib_xmit\": {\n 106→ \"frequency\": 60,\n 107→ \"aggregation\": \"sum\"\n 108→ },\n 109→ \"ib_recv_pkts\": {\n 110→ \"frequency\": 60,\n 111→ \"aggregation\": \"sum\"\n 112→ },\n 113→ \"ib_xmit_pkts\": {\n 114→ \"frequency\": 60,\n 115→ \"aggregation\": \"sum\"\n 116→ },\n 117→ \"cpu_power\": {\n 118→ \"frequency\": 60,\n 119→ \"aggregation\": \"sum\"\n 120→ },\n 121→ \"core_power\": {\n 122→ \"frequency\": 60,\n 123→ \"aggregation\": \"sum\"\n 124→ },\n 125→ \"mem_power\": {\n 126→ \"frequency\": 60,\n 127→ \"aggregation\": \"sum\"\n 128→ },\n 129→ \"ipc\": {\n 130→ \"frequency\": 60,\n 131→ \"aggregation\": \"avg\"\n 132→ },\n 133→ \"cpu_load\": {\n 134→ \"frequency\": 60,\n 135→ \"aggregation\": null\n 136→ },\n 137→ \"lustre_close\": {\n 138→ \"frequency\": 60,\n 139→ \"aggregation\": null\n 140→ },\n 141→ \"lustre_open\": {\n 142→ \"frequency\": 60,\n 143→ \"aggregation\": null\n 144→ },\n 145→ \"lustre_statfs\": {\n 146→ \"frequency\": 60,\n 147→ \"aggregation\": null\n 148→ },\n 149→ \"lustre_read_bytes\": {\n 150→ \"frequency\": 60,\n 151→ \"aggregation\": null\n 152→ },\n 153→ \"lustre_write_bytes\": {\n 154→ \"frequency\": 60,\n 155→ \"aggregation\": null\n 156→ },\n 157→ \"net_bw\": {\n 158→ \"frequency\": 60,\n 159→ \"aggregation\": null\n 160→ },\n 161→ \"file_bw\": {\n 162→ \"frequency\": 60,\n 163→ \"aggregation\": null\n 164→ },\n 165→ \"mem_bw\": {\n 166→ \"frequency\": 60,\n 167→ \"aggregation\": \"sum\"\n 168→ },\n 169→ \"mem_cached\": {\n 170→ \"frequency\": 60,\n 171→ \"aggregation\": null\n 172→ },\n 173→ \"mem_used\": {\n 174→ \"frequency\": 60,\n 175→ \"aggregation\": null\n 176→ },\n 177→ \"net_bytes_in\": {\n 178→ \"frequency\": 60,\n 179→ \"aggregation\": null\n 180→ },\n 181→ \"net_bytes_out\": {\n 182→ \"frequency\": 60,\n 183→ \"aggregation\": null\n 184→ },\n 185→ \"nfs4_read\": {\n 186→ \"frequency\": 60,\n 187→ \"aggregation\": null\n 188→ },\n 189→ \"nfs4_total\": {\n 190→ \"frequency\": 60,\n 191→ \"aggregation\": null\n 192→ },\n 193→ \"nfs4_write\": {\n 194→ \"frequency\": 60,\n 195→ \"aggregation\": null\n 196→ },\n 197→ \"vectorization_ratio\": {\n 198→ \"frequency\": 60,\n 199→ \"aggregation\": \"avg\"\n 200→ }\n 201→ }\n 202→}\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"eb718c73-39c5-4621-a1d0-fd4876af3eb6","timestamp":"2026-03-04T10:08:26.774Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/configs/config.json","content":"{\n \"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"REDACTED\"\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"fritz\"\n },\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"alex\"\n }\n ]\n },\n \"metrics\": {\n \"debug_metric\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"clock\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_idle\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_iowait\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_irq\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_system\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_user\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"nv_mem_util\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"nv_temp\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"nv_sm_clock\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"acc_utilization\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"acc_mem_used\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"acc_power\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"flops_any\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"flops_dp\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"flops_sp\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"ib_recv\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"ib_xmit\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"ib_recv_pkts\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"ib_xmit_pkts\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"cpu_power\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"core_power\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"mem_power\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"ipc\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n },\n \"cpu_load\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"lustre_close\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"lustre_open\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"lustre_statfs\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"lustre_read_bytes\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"lustre_write_bytes\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"net_bw\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"file_bw\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"mem_bw\": {\n \"frequency\": 60,\n \"aggregation\": \"sum\"\n },\n \"mem_cached\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"mem_used\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"net_bytes_in\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"net_bytes_out\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"nfs4_read\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"nfs4_total\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"nfs4_write\": {\n \"frequency\": 60,\n \"aggregation\": null\n },\n \"vectorization_ratio\": {\n \"frequency\": 60,\n \"aggregation\": \"avg\"\n }\n }\n}","numLines":202,"startLine":1,"totalLines":202}},"sourceToolAssistantUUID":"2a01f833-608f-45dc-bf66-a767c1889c5a"}
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{"parentUuid":"1297c288-4157-462a-a7e8-0db05c0cdf52","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjCGmNVSNZFS2N8MkDNrtc","type":"tool_result","content":" 1→TARGET = ./cc-metric-store\n 2→VAR = ./var/checkpoints/\n 3→VERSION = 0.1.1\n 4→GIT_HASH := $(shell git rev-parse --short HEAD || echo 'development')\n 5→CURRENT_TIME = $(shell date +\"%Y-%m-%d:T%H:%M:%S\")\n 6→LD_FLAGS = '-s -X main.date=${CURRENT_TIME} -X main.version=${VERSION} -X main.commit=${GIT_HASH}'\n 7→\n 8→.PHONY: clean distclean test swagger $(TARGET)\n 9→\n 10→.NOTPARALLEL:\n 11→\n 12→$(TARGET): config.json $(VAR)\n 13→\t$(info ===> BUILD cc-metric-store)\n 14→\t@go build -ldflags=${LD_FLAGS} ./cmd/cc-metric-store\n 15→\n 16→config.json:\n 17→\t@cp ./configs/config.json config.json\n 18→\n 19→$(VAR):\n 20→\t@mkdir -p $(VAR)\n 21→\n 22→swagger:\n 23→\t$(info ===> GENERATE swagger)\n 24→\t@go run github.com/swaggo/swag/cmd/swag init -d ./internal/api,./internal/util -g api.go -o ./api\n 25→\t@mv ./api/docs.go ./internal/api/docs.go\n 26→\n 27→clean:\n 28→\t$(info ===> CLEAN)\n 29→\t@go clean\n 30→\t@rm -f $(TARGET)\n 31→\n 32→distclean: clean\n 33→\t@rm -rf ./var\n 34→\t@rm -f config.json\n 35→\n 36→test:\n 37→\t$(info ===> TESTING)\n 38→\t@go clean -testcache\n 39→\t@go build ./...\n 40→\t@go vet ./...\n 41→\t@go test ./...\n 42→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"f6ba420d-cb5a-4009-86ae-572b01ca7fa6","timestamp":"2026-03-04T10:08:27.141Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/Makefile","content":"TARGET = ./cc-metric-store\nVAR = ./var/checkpoints/\nVERSION = 0.1.1\nGIT_HASH := $(shell git rev-parse --short HEAD || echo 'development')\nCURRENT_TIME = $(shell date +\"%Y-%m-%d:T%H:%M:%S\")\nLD_FLAGS = '-s -X main.date=${CURRENT_TIME} -X main.version=${VERSION} -X main.commit=${GIT_HASH}'\n\n.PHONY: clean distclean test swagger $(TARGET)\n\n.NOTPARALLEL:\n\n$(TARGET): config.json $(VAR)\n\t$(info ===> BUILD cc-metric-store)\n\t@go build -ldflags=${LD_FLAGS} ./cmd/cc-metric-store\n\nconfig.json:\n\t@cp ./configs/config.json config.json\n\n$(VAR):\n\t@mkdir -p $(VAR)\n\nswagger:\n\t$(info ===> GENERATE swagger)\n\t@go run github.com/swaggo/swag/cmd/swag init -d ./internal/api,./internal/util -g api.go -o ./api\n\t@mv ./api/docs.go ./internal/api/docs.go\n\nclean:\n\t$(info ===> CLEAN)\n\t@go clean\n\t@rm -f $(TARGET)\n\ndistclean: clean\n\t@rm -rf ./var\n\t@rm -f config.json\n\ntest:\n\t$(info ===> TESTING)\n\t@go clean -testcache\n\t@go build ./...\n\t@go vet ./...\n\t@go test ./...\n","numLines":42,"startLine":1,"totalLines":42}},"sourceToolAssistantUUID":"1297c288-4157-462a-a7e8-0db05c0cdf52"}
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{"parentUuid":"b2a67b51-606b-434b-a1b6-e73c9e2ca557","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AEsPYije7BSiiiL726EADe","type":"tool_result","content":" 1→# `cc-metric-store` version 0.1.1\n 2→\n 3→This is a bugfix release of `cc-metric-store`, the metric timeseries cache\n 4→implementation of ClusterCockpit.\n 5→For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n 6→\n 7→Notable changes in version 0.1.0:\n 8→\n 9→- Cleanup of code and restructuring\n 10→- Document REST API with Swagger\n 11→- Introduce REST API versioning\n 12→- Provide Swagger UI test web-frontend\n 13→- Introduce re-sampling of metric data\n 14→- Support also ms, ns in line protocol\n 15→- Support NATS credentials\n 16→\n 17→## Breaking changes\n 18→\n 19→None\n 20→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e83d2d93-1500-491b-a330-714d0737f0cf","timestamp":"2026-03-04T10:08:33.620Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/ReleaseNotes.md","content":"# `cc-metric-store` version 0.1.1\n\nThis is a bugfix release of `cc-metric-store`, the metric timeseries cache\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\nNotable changes in version 0.1.0:\n\n- Cleanup of code and restructuring\n- Document REST API with Swagger\n- Introduce REST API versioning\n- Provide Swagger UI test web-frontend\n- Introduce re-sampling of metric data\n- Support also ms, ns in line protocol\n- Support NATS credentials\n\n## Breaking changes\n\nNone\n","numLines":20,"startLine":1,"totalLines":20}},"sourceToolAssistantUUID":"b2a67b51-606b-434b-a1b6-e73c9e2ca557"}
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{"parentUuid":"0a5706f3-a5fc-4c82-9e39-0103357daf12","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D2dwNrgEwfu21WC3XNsJRd","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-metric-store.\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 api\n 7→\n 8→import (\n 9→\t\"crypto/ed25519\"\n 10→\t\"encoding/base64\"\n 11→\t\"log\"\n 12→\t\"net/http\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-metric-store/internal/config\"\n 15→)\n 16→\n 17→func MountRoutes(r *http.ServeMux) {\n 18→\tif len(config.Keys.JwtPublicKey) > 0 {\n 19→\t\tbuf, err := base64.StdEncoding.DecodeString(config.Keys.JwtPublicKey)\n 20→\t\tif err != nil {\n 21→\t\t\tlog.Fatalf(\"starting server failed: %v\", err)\n 22→\t\t}\n 23→\t\tpublicKey := ed25519.PublicKey(buf)\n 24→\t\t// Compatibility\n 25→\t\tr.Handle(\"POST /api/free\", authHandler(http.HandlerFunc(freeMetrics), publicKey))\n 26→\t\tr.Handle(\"POST /api/write\", authHandler(http.HandlerFunc(writeMetrics), publicKey))\n 27→\t\tr.Handle(\"GET /api/query\", authHandler(http.HandlerFunc(handleQuery), publicKey))\n 28→\t\tr.Handle(\"GET /api/debug\", authHandler(http.HandlerFunc(debugMetrics), publicKey))\n 29→\t\tr.Handle(\"GET /api/healthcheck\", authHandler(http.HandlerFunc(metricsHealth), publicKey))\n 30→\t\t// Refactor\n 31→\t\tr.Handle(\"POST /api/free/\", authHandler(http.HandlerFunc(freeMetrics), publicKey))\n 32→\t\tr.Handle(\"POST /api/write/\", authHandler(http.HandlerFunc(writeMetrics), publicKey))\n 33→\t\tr.Handle(\"GET /api/query/\", authHandler(http.HandlerFunc(handleQuery), publicKey))\n 34→\t\tr.Handle(\"GET /api/debug/\", authHandler(http.HandlerFunc(debugMetrics), publicKey))\n 35→\t\tr.Handle(\"GET /api/healthcheck/\", authHandler(http.HandlerFunc(metricsHealth), publicKey))\n 36→\t} else {\n 37→\t\t// Compatibility\n 38→\t\tr.HandleFunc(\"POST /api/free\", freeMetrics)\n 39→\t\tr.HandleFunc(\"POST /api/write\", writeMetrics)\n 40→\t\tr.HandleFunc(\"GET /api/query\", handleQuery)\n 41→\t\tr.HandleFunc(\"GET /api/debug\", debugMetrics)\n 42→\t\tr.HandleFunc(\"GET /api/healthcheck\", metricsHealth)\n 43→\t\t// Refactor\n 44→\t\tr.HandleFunc(\"POST /api/free/\", freeMetrics)\n 45→\t\tr.HandleFunc(\"POST /api/write/\", writeMetrics)\n 46→\t\tr.HandleFunc(\"GET /api/query/\", handleQuery)\n 47→\t\tr.HandleFunc(\"GET /api/debug/\", debugMetrics)\n 48→\t\tr.HandleFunc(\"GET /api/healthcheck/\", metricsHealth)\n 49→\t}\n 50→}\n 51→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8db3b4e3-238e-4d5c-904a-a26499ab147a","timestamp":"2026-03-04T10:08:35.467Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/internal/api/server.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-metric-store.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"crypto/ed25519\"\n\t\"encoding/base64\"\n\t\"log\"\n\t\"net/http\"\n\n\t\"github.com/ClusterCockpit/cc-metric-store/internal/config\"\n)\n\nfunc MountRoutes(r *http.ServeMux) {\n\tif len(config.Keys.JwtPublicKey) > 0 {\n\t\tbuf, err := base64.StdEncoding.DecodeString(config.Keys.JwtPublicKey)\n\t\tif err != nil {\n\t\t\tlog.Fatalf(\"starting server failed: %v\", err)\n\t\t}\n\t\tpublicKey := ed25519.PublicKey(buf)\n\t\t// Compatibility\n\t\tr.Handle(\"POST /api/free\", authHandler(http.HandlerFunc(freeMetrics), publicKey))\n\t\tr.Handle(\"POST /api/write\", authHandler(http.HandlerFunc(writeMetrics), publicKey))\n\t\tr.Handle(\"GET /api/query\", authHandler(http.HandlerFunc(handleQuery), publicKey))\n\t\tr.Handle(\"GET /api/debug\", authHandler(http.HandlerFunc(debugMetrics), publicKey))\n\t\tr.Handle(\"GET /api/healthcheck\", authHandler(http.HandlerFunc(metricsHealth), publicKey))\n\t\t// Refactor\n\t\tr.Handle(\"POST /api/free/\", authHandler(http.HandlerFunc(freeMetrics), publicKey))\n\t\tr.Handle(\"POST /api/write/\", authHandler(http.HandlerFunc(writeMetrics), publicKey))\n\t\tr.Handle(\"GET /api/query/\", authHandler(http.HandlerFunc(handleQuery), publicKey))\n\t\tr.Handle(\"GET /api/debug/\", authHandler(http.HandlerFunc(debugMetrics), publicKey))\n\t\tr.Handle(\"GET /api/healthcheck/\", authHandler(http.HandlerFunc(metricsHealth), publicKey))\n\t} else {\n\t\t// Compatibility\n\t\tr.HandleFunc(\"POST /api/free\", freeMetrics)\n\t\tr.HandleFunc(\"POST /api/write\", writeMetrics)\n\t\tr.HandleFunc(\"GET /api/query\", handleQuery)\n\t\tr.HandleFunc(\"GET /api/debug\", debugMetrics)\n\t\tr.HandleFunc(\"GET /api/healthcheck\", metricsHealth)\n\t\t// Refactor\n\t\tr.HandleFunc(\"POST /api/free/\", freeMetrics)\n\t\tr.HandleFunc(\"POST /api/write/\", writeMetrics)\n\t\tr.HandleFunc(\"GET /api/query/\", handleQuery)\n\t\tr.HandleFunc(\"GET /api/debug/\", debugMetrics)\n\t\tr.HandleFunc(\"GET /api/healthcheck/\", metricsHealth)\n\t}\n}\n","numLines":51,"startLine":1,"totalLines":51}},"sourceToolAssistantUUID":"0a5706f3-a5fc-4c82-9e39-0103357daf12"}
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{"parentUuid":"bfdde28a-eccf-4ecb-9c52-a96533044584","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TPe2EFhNmLu1kmSq2T1vJp","toolUseID":"toolu_01TPe2EFhNmLu1kmSq2T1vJp","timestamp":"2026-03-04T10:08:36.010Z","uuid":"bd80977e-c426-4815-bd34-6e5186d99fb5"}
{"parentUuid":"bfdde28a-eccf-4ecb-9c52-a96533044584","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TPe2EFhNmLu1kmSq2T1vJp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-metric-store.\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 config\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→)\n 16→\n 17→var metrics map[string]metricstore.MetricConfig\n 18→\n 19→type Config struct {\n 20→\tAddress string `json:\"addr\"`\n 21→\tCertFile string `json:\"https-cert-file\"`\n 22→\tKeyFile string `json:\"https-key-file\"`\n 23→\tUser string `json:\"user\"`\n 24→\tGroup string `json:\"group\"`\n 25→\tBackendURL string `json:\"backend-url\"`\n 26→\tDebug struct {\n 27→\t\tDumpToFile string `json:\"dump-to-file\"`\n 28→\t\tEnableGops bool `json:\"gops\"`\n 29→\t} `json:\"debug\"`\n 30→\tJwtPublicKey string `json:\"jwt-public-key\"`\n 31→}\n 32→\n 33→var Keys Config\n 34→\n 35→type metricConfigJSON struct {\n 36→\tFrequency int64 `json:\"frequency\"`\n 37→\tAggregation string `json:\"aggregation\"`\n 38→}\n 39→\n 40→func InitMetrics(metricConfig json.RawMessage) {\n 41→\tValidate(metricConfigSchema, metricConfig)\n 42→\n 43→\tvar tempMetrics map[string]metricConfigJSON\n 44→\tdec := json.NewDecoder(bytes.NewReader(metricConfig))\n 45→\tdec.DisallowUnknownFields()\n 46→\tif err := dec.Decode(&tempMetrics); err != nil {\n 47→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", metricConfig, err.Error())\n 48→\t}\n 49→\n 50→\tmetrics = make(map[string]metricstore.MetricConfig)\n 51→\tfor name, cfg := range tempMetrics {\n 52→\t\tagg, err := metricstore.AssignAggregationStrategy(cfg.Aggregation)\n 53→\t\tif err != nil {\n 54→\t\t\tcclog.Warnf(\"Could not parse aggregation strategy for metric '%s': %s\", name, err.Error())\n 55→\t\t}\n 56→\t\tmetrics[name] = metricstore.MetricConfig{\n 57→\t\t\tFrequency: cfg.Frequency,\n 58→\t\t\tAggregation: agg,\n 59→\t\t}\n 60→\t}\n 61→}\n 62→\n 63→func Init(mainConfig json.RawMessage) {\n 64→\tValidate(configSchema, mainConfig)\n 65→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 66→\tdec.DisallowUnknownFields()\n 67→\tif err := dec.Decode(&Keys); err != nil {\n 68→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 69→\t}\n 70→}\n 71→\n 72→func GetMetricFrequency(metricName string) (int64, error) {\n 73→\tif metric, ok := metrics[metricName]; ok {\n 74→\t\treturn metric.Frequency, nil\n 75→\t}\n 76→\treturn 0, fmt.Errorf(\"metric %s not found\", metricName)\n 77→}\n 78→\n 79→func GetMetrics() map[string]metricstore.MetricConfig {\n 80→\treturn metrics\n 81→}\n 82→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"f7aebff9-1fee-4df5-8766-9e7ac23fd5c3","timestamp":"2026-03-04T10:08:36.010Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-metric-store.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\nvar metrics map[string]metricstore.MetricConfig\n\ntype Config struct {\n\tAddress string `json:\"addr\"`\n\tCertFile string `json:\"https-cert-file\"`\n\tKeyFile string `json:\"https-key-file\"`\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\tBackendURL string `json:\"backend-url\"`\n\tDebug struct {\n\t\tDumpToFile string `json:\"dump-to-file\"`\n\t\tEnableGops bool `json:\"gops\"`\n\t} `json:\"debug\"`\n\tJwtPublicKey string `json:\"jwt-public-key\"`\n}\n\nvar Keys Config\n\ntype metricConfigJSON struct {\n\tFrequency int64 `json:\"frequency\"`\n\tAggregation string `json:\"aggregation\"`\n}\n\nfunc InitMetrics(metricConfig json.RawMessage) {\n\tValidate(metricConfigSchema, metricConfig)\n\n\tvar tempMetrics map[string]metricConfigJSON\n\tdec := json.NewDecoder(bytes.NewReader(metricConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&tempMetrics); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", metricConfig, err.Error())\n\t}\n\n\tmetrics = make(map[string]metricstore.MetricConfig)\n\tfor name, cfg := range tempMetrics {\n\t\tagg, err := metricstore.AssignAggregationStrategy(cfg.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not parse aggregation strategy for metric '%s': %s\", name, err.Error())\n\t\t}\n\t\tmetrics[name] = metricstore.MetricConfig{\n\t\t\tFrequency: cfg.Frequency,\n\t\t\tAggregation: agg,\n\t\t}\n\t}\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n}\n\nfunc GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"metric %s not found\", metricName)\n}\n\nfunc GetMetrics() map[string]metricstore.MetricConfig {\n\treturn metrics\n}\n","numLines":82,"startLine":1,"totalLines":82}},"sourceToolAssistantUUID":"bfdde28a-eccf-4ecb-9c52-a96533044584"}
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{"parentUuid":"9fea2f44-9ed4-4591-bf29-f0cf844f7d42","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MnuvGYwswzzQfzs1gFFLDw","type":"tool_result","content":" 1→module github.com/ClusterCockpit/cc-metric-store\n 2→\n 3→go 1.25.0\n 4→\n 5→require (\n 6→\tgithub.com/ClusterCockpit/cc-backend v1.4.5-0.20260303062012-8b0f63b1f849\n 7→\tgithub.com/ClusterCockpit/cc-lib/v2 v2.7.0\n 8→\tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n 9→\tgithub.com/golang-jwt/jwt/v4 v4.5.0\n 10→\tgithub.com/google/gops v0.3.29\n 11→\tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n 12→\tgithub.com/swaggo/http-swagger v1.3.4\n 13→\tgithub.com/swaggo/swag v1.16.6\n 14→)\n 15→\n 16→require (\n 17→\tgithub.com/KyleBanks/depth v1.2.1 // indirect\n 18→\tgithub.com/andybalholm/brotli v1.2.0 // indirect\n 19→\tgithub.com/aws/aws-sdk-go-v2 v1.41.1 // indirect\n 20→\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.4 // indirect\n 21→\tgithub.com/aws/aws-sdk-go-v2/config v1.32.8 // indirect\n 22→\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.8 // indirect\n 23→\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.17 // indirect\n 24→\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.17 // indirect\n 25→\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.17 // indirect\n 26→\tgithub.com/aws/aws-sdk-go-v2/internal/ini v1.8.4 // indirect\n 27→\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.17 // indirect\n 28→\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.4 // indirect\n 29→\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.8 // indirect\n 30→\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.17 // indirect\n 31→\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.17 // indirect\n 32→\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.96.0 // indirect\n 33→\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.5 // indirect\n 34→\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.9 // indirect\n 35→\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.14 // indirect\n 36→\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.41.6 // indirect\n 37→\tgithub.com/aws/smithy-go v1.24.0 // indirect\n 38→\tgithub.com/fsnotify/fsnotify v1.9.0 // indirect\n 39→\tgithub.com/go-openapi/jsonpointer v0.22.4 // indirect\n 40→\tgithub.com/go-openapi/jsonreference v0.21.4 // indirect\n 41→\tgithub.com/go-openapi/spec v0.22.3 // indirect\n 42→\tgithub.com/go-openapi/swag/conv v0.25.4 // indirect\n 43→\tgithub.com/go-openapi/swag/jsonname v0.25.4 // indirect\n 44→\tgithub.com/go-openapi/swag/jsonutils v0.25.4 // indirect\n 45→\tgithub.com/go-openapi/swag/loading v0.25.4 // indirect\n 46→\tgithub.com/go-openapi/swag/stringutils v0.25.4 // indirect\n 47→\tgithub.com/go-openapi/swag/typeutils v0.25.4 // indirect\n 48→\tgithub.com/go-openapi/swag/yamlutils v0.25.4 // indirect\n 49→\tgithub.com/google/uuid v1.6.0 // indirect\n 50→\tgithub.com/klauspost/compress v1.18.4 // indirect\n 51→\tgithub.com/mattn/go-sqlite3 v1.14.34 // indirect\n 52→\tgithub.com/nats-io/nats.go v1.49.0 // indirect\n 53→\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n 54→\tgithub.com/nats-io/nuid v1.0.1 // indirect\n 55→\tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n 56→\tgithub.com/parquet-go/jsonlite v1.4.0 // indirect\n 57→\tgithub.com/parquet-go/parquet-go v0.27.0 // indirect\n 58→\tgithub.com/pierrec/lz4/v4 v4.1.25 // indirect\n 59→\tgithub.com/swaggo/files v1.0.1 // indirect\n 60→\tgithub.com/twpayne/go-geom v1.6.1 // indirect\n 61→\tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n 62→\tgolang.org/x/crypto v0.48.0 // indirect\n 63→\tgolang.org/x/mod v0.33.0 // indirect\n 64→\tgolang.org/x/net v0.51.0 // indirect\n 65→\tgolang.org/x/sync v0.19.0 // indirect\n 66→\tgolang.org/x/sys v0.41.0 // indirect\n 67→\tgolang.org/x/tools v0.42.0 // indirect\n 68→\tgoogle.golang.org/protobuf v1.36.11 // indirect\n 69→\tgopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c // indirect\n 70→)\n 71→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d137137a-2235-499e-8398-5a73fbec8ec1","timestamp":"2026-03-04T10:08:38.965Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/go.mod","content":"module github.com/ClusterCockpit/cc-metric-store\n\ngo 1.25.0\n\nrequire (\n\tgithub.com/ClusterCockpit/cc-backend v1.4.5-0.20260303062012-8b0f63b1f849\n\tgithub.com/ClusterCockpit/cc-lib/v2 v2.7.0\n\tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n\tgithub.com/golang-jwt/jwt/v4 v4.5.0\n\tgithub.com/google/gops v0.3.29\n\tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n\tgithub.com/swaggo/http-swagger v1.3.4\n\tgithub.com/swaggo/swag v1.16.6\n)\n\nrequire (\n\tgithub.com/KyleBanks/depth v1.2.1 // indirect\n\tgithub.com/andybalholm/brotli v1.2.0 // indirect\n\tgithub.com/aws/aws-sdk-go-v2 v1.41.1 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.4 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/config v1.32.8 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.8 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/ini v1.8.4 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.4 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.8 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.17 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.96.0 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.5 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.9 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.14 // indirect\n\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.41.6 // indirect\n\tgithub.com/aws/smithy-go v1.24.0 // indirect\n\tgithub.com/fsnotify/fsnotify v1.9.0 // indirect\n\tgithub.com/go-openapi/jsonpointer v0.22.4 // indirect\n\tgithub.com/go-openapi/jsonreference v0.21.4 // indirect\n\tgithub.com/go-openapi/spec v0.22.3 // indirect\n\tgithub.com/go-openapi/swag/conv v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/jsonname v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/jsonutils v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/loading v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/stringutils v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/typeutils v0.25.4 // indirect\n\tgithub.com/go-openapi/swag/yamlutils v0.25.4 // indirect\n\tgithub.com/google/uuid v1.6.0 // indirect\n\tgithub.com/klauspost/compress v1.18.4 // indirect\n\tgithub.com/mattn/go-sqlite3 v1.14.34 // indirect\n\tgithub.com/nats-io/nats.go v1.49.0 // indirect\n\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n\tgithub.com/nats-io/nuid v1.0.1 // indirect\n\tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n\tgithub.com/parquet-go/jsonlite v1.4.0 // indirect\n\tgithub.com/parquet-go/parquet-go v0.27.0 // indirect\n\tgithub.com/pierrec/lz4/v4 v4.1.25 // indirect\n\tgithub.com/swaggo/files v1.0.1 // indirect\n\tgithub.com/twpayne/go-geom v1.6.1 // indirect\n\tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n\tgolang.org/x/crypto v0.48.0 // indirect\n\tgolang.org/x/mod v0.33.0 // indirect\n\tgolang.org/x/net v0.51.0 // indirect\n\tgolang.org/x/sync v0.19.0 // indirect\n\tgolang.org/x/sys v0.41.0 // indirect\n\tgolang.org/x/tools v0.42.0 // indirect\n\tgoogle.golang.org/protobuf v1.36.11 // indirect\n\tgopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c // indirect\n)\n","numLines":71,"startLine":1,"totalLines":71}},"sourceToolAssistantUUID":"9fea2f44-9ed4-4591-bf29-f0cf844f7d42"}
{"parentUuid":"d137137a-2235-499e-8398-5a73fbec8ec1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_01SCEUtek2ru5kcEMQ2XhX9F","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018z2RyjRzMBAepNb21vddTU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-metric-store/internal/api/metricstore.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2427,"cache_read_input_tokens":30957,"output_tokens":181,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2427,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYhrcgEq2Fm9sPKaQgMNi","type":"assistant","uuid":"7247204a-7a1a-4e9f-8a58-f69c812d2a6a","timestamp":"2026-03-04T10:08:39.438Z"}
{"parentUuid":"7247204a-7a1a-4e9f-8a58-f69c812d2a6a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_018z2RyjRzMBAepNb21vddTU","toolUseID":"toolu_018z2RyjRzMBAepNb21vddTU","timestamp":"2026-03-04T10:08:39.448Z","uuid":"7355d158-f3cc-4757-b8be-c45423529282"}
{"parentUuid":"7247204a-7a1a-4e9f-8a58-f69c812d2a6a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018z2RyjRzMBAepNb21vddTU","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-metric-store.\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 api\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"log\"\n 14→\t\"math\"\n 15→\t\"net/http\"\n 16→\t\"strconv\"\n 17→\t\"strings\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 20→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 23→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 24→)\n 25→\n 26→// ErrorResponse model\n 27→type ErrorResponse struct {\n 28→\t// Statustext of Errorcode\n 29→\tStatus string `json:\"status\"`\n 30→\tError string `json:\"error\"` // Error Message\n 31→}\n 32→\n 33→// DefaultAPIResponse model\n 34→type DefaultAPIResponse struct {\n 35→\tMessage string `json:\"msg\"`\n 36→}\n 37→\n 38→// handleError writes a standardized JSON error response with the given status code.\n 39→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n 40→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n 41→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n 42→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 43→\trw.WriteHeader(statusCode)\n 44→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n 45→\t\tStatus: http.StatusText(statusCode),\n 46→\t\tError: err.Error(),\n 47→\t}); err != nil {\n 48→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n 49→\t}\n 50→}\n 51→\n 52→type APIMetricData struct {\n 53→\tError *string `json:\"error,omitempty\"`\n 54→\tData schema.FloatArray `json:\"data,omitempty\"`\n 55→\tFrom int64 `json:\"from\"`\n 56→\tTo int64 `json:\"to\"`\n 57→\tResolution int64 `json:\"resolution\"`\n 58→\tAvg schema.Float `json:\"avg\"`\n 59→\tMin schema.Float `json:\"min\"`\n 60→\tMax schema.Float `json:\"max\"`\n 61→}\n 62→\n 63→// TODO: Optimize this, just like the stats endpoint!\n 64→func (data *APIMetricData) AddStats() {\n 65→\tn := 0\n 66→\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n 67→\tfor _, x := range data.Data {\n 68→\t\tif x.IsNaN() {\n 69→\t\t\tcontinue\n 70→\t\t}\n 71→\n 72→\t\tn += 1\n 73→\t\tsum += float64(x)\n 74→\t\tmin = math.Min(min, float64(x))\n 75→\t\tmax = math.Max(max, float64(x))\n 76→\t}\n 77→\n 78→\tif n > 0 {\n 79→\t\tavg := sum / float64(n)\n 80→\t\tdata.Avg = schema.Float(avg)\n 81→\t\tdata.Min = schema.Float(min)\n 82→\t\tdata.Max = schema.Float(max)\n 83→\t} else {\n 84→\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n 85→\t}\n 86→}\n 87→\n 88→func (data *APIMetricData) ScaleBy(f schema.Float) {\n 89→\tif f == 0 || f == 1 {\n 90→\t\treturn\n 91→\t}\n 92→\n 93→\tdata.Avg *= f\n 94→\tdata.Min *= f\n 95→\tdata.Max *= f\n 96→\tfor i := 0; i < len(data.Data); i++ {\n 97→\t\tdata.Data[i] *= f\n 98→\t}\n 99→}\n 100→\n 101→func (data *APIMetricData) PadDataWithNull(ms *metricstore.MemoryStore, from, to int64, metric string) {\n 102→\tminfo, ok := ms.Metrics[metric]\n 103→\tif !ok {\n 104→\t\treturn\n 105→\t}\n 106→\n 107→\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n 108→\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n 109→\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n 110→\t\tfor range padfront {\n 111→\t\t\tndata = append(ndata, schema.NaN)\n 112→\t\t}\n 113→\t\tfor j := 0; j < len(data.Data); j++ {\n 114→\t\t\tndata = append(ndata, data.Data[j])\n 115→\t\t}\n 116→\t\tdata.Data = ndata\n 117→\t}\n 118→}\n 119→\n 120→type APIQueryRequest struct {\n 121→\tCluster string `json:\"cluster\"`\n 122→\tQueries []APIQuery `json:\"queries\"`\n 123→\tForAllNodes []string `json:\"for-all-nodes\"`\n 124→\tFrom int64 `json:\"from\"`\n 125→\tTo int64 `json:\"to\"`\n 126→\tWithStats bool `json:\"with-stats\"`\n 127→\tWithData bool `json:\"with-data\"`\n 128→\tWithPadding bool `json:\"with-padding\"`\n 129→}\n 130→\n 131→type APIQueryResponse struct {\n 132→\tQueries []APIQuery `json:\"queries,omitempty\"`\n 133→\tResults [][]APIMetricData `json:\"results\"`\n 134→}\n 135→\n 136→type APIQuery struct {\n 137→\tType *string `json:\"type,omitempty\"`\n 138→\tSubType *string `json:\"subtype,omitempty\"`\n 139→\tMetric string `json:\"metric\"`\n 140→\tHostname string `json:\"host\"`\n 141→\tResolution int64 `json:\"resolution\"`\n 142→\tTypeIds []string `json:\"type-ids,omitempty\"`\n 143→\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n 144→\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n 145→\tAggregate bool `json:\"aggreg\"`\n 146→}\n 147→\n 148→// handleQuery godoc\n 149→// @summary Query metrics\n 150→// @tags query\n 151→// @description This endpoint allows the users to retrieve data from the\n 152→// in-memory database. The CCMS will return data in JSON format for the\n 153→// specified interval requested by the user\n 154→// @accept json\n 155→// @produce json\n 156→// @param request body api.ApiQueryRequest true \"API query payload object\"\n 157→// @success 200 {object} api.ApiQueryResponse \"API query response object\"\n 158→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 159→// @failure 401 \t\t {object} api.ErrorResponse \"Unauthorized\"\n 160→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 161→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 162→// @security ApiKeyAuth\n 163→// @router /query/ [get]\n 164→func handleQuery(rw http.ResponseWriter, r *http.Request) {\n 165→\tvar err error\n 166→\tver := r.URL.Query().Get(\"version\")\n 167→\tif ver == \"\" {\n 168→\t\tver = \"v2\"\n 169→\t}\n 170→\treq := APIQueryRequest{WithStats: true, WithData: true, WithPadding: true}\n 171→\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n 172→\t\thandleError(err, http.StatusBadRequest, rw)\n 173→\t\treturn\n 174→\t}\n 175→\n 176→\tms := metricstore.GetMemoryStore()\n 177→\n 178→\tresponse := APIQueryResponse{\n 179→\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n 180→\t}\n 181→\tif req.ForAllNodes != nil {\n 182→\t\tnodes := ms.ListChildren([]string{req.Cluster})\n 183→\t\tfor _, node := range nodes {\n 184→\t\t\tfor _, metric := range req.ForAllNodes {\n 185→\t\t\t\tq := APIQuery{\n 186→\t\t\t\t\tMetric: metric,\n 187→\t\t\t\t\tHostname: node,\n 188→\t\t\t\t}\n 189→\t\t\t\treq.Queries = append(req.Queries, q)\n 190→\t\t\t\tresponse.Queries = append(response.Queries, q)\n 191→\t\t\t}\n 192→\t\t}\n 193→\t}\n 194→\n 195→\tfor _, query := range req.Queries {\n 196→\t\tsels := make([]util.Selector, 0, 1)\n 197→\t\tif query.Aggregate || query.Type == nil {\n 198→\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n 199→\t\t\tif query.Type != nil {\n 200→\t\t\t\tif len(query.TypeIds) == 1 {\n 201→\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n 202→\t\t\t\t} else {\n 203→\t\t\t\t\tids := make([]string, len(query.TypeIds))\n 204→\t\t\t\t\tfor i, id := range query.TypeIds {\n 205→\t\t\t\t\t\tids[i] = *query.Type + id\n 206→\t\t\t\t\t}\n 207→\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 208→\t\t\t\t}\n 209→\n 210→\t\t\t\tif query.SubType != nil {\n 211→\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n 212→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n 213→\t\t\t\t\t} else {\n 214→\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n 215→\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n 216→\t\t\t\t\t\t\tids[i] = *query.SubType + id\n 217→\t\t\t\t\t\t}\n 218→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 219→\t\t\t\t\t}\n 220→\t\t\t\t}\n 221→\t\t\t}\n 222→\t\t\tsels = append(sels, sel)\n 223→\t\t} else {\n 224→\t\t\tfor _, typeID := range query.TypeIds {\n 225→\t\t\t\tif query.SubType != nil {\n 226→\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n 227→\t\t\t\t\t\tsels = append(sels, util.Selector{\n 228→\t\t\t\t\t\t\t{String: req.Cluster},\n 229→\t\t\t\t\t\t\t{String: query.Hostname},\n 230→\t\t\t\t\t\t\t{String: *query.Type + typeID},\n 231→\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n 232→\t\t\t\t\t\t})\n 233→\t\t\t\t\t}\n 234→\t\t\t\t} else {\n 235→\t\t\t\t\tsels = append(sels, util.Selector{\n 236→\t\t\t\t\t\t{String: req.Cluster},\n 237→\t\t\t\t\t\t{String: query.Hostname},\n 238→\t\t\t\t\t\t{String: *query.Type + typeID},\n 239→\t\t\t\t\t})\n 240→\t\t\t\t}\n 241→\t\t\t}\n 242→\t\t}\n 243→\n 244→\t\t// log.Printf(\"query: %#v\\n\", query)\n 245→\t\t// log.Printf(\"sels: %#v\\n\", sels)\n 246→\n 247→\t\tres := make([]APIMetricData, 0, len(sels))\n 248→\t\tfor _, sel := range sels {\n 249→\t\t\tdata := APIMetricData{}\n 250→\n 251→\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n 252→\t\t\tif err != nil {\n 253→\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n 254→\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n 255→\t\t\t\tif err != metricstore.ErrNoHostOrMetric {\n 256→\t\t\t\t\tmsg := err.Error()\n 257→\t\t\t\t\tdata.Error = &msg\n 258→\t\t\t\t\tres = append(res, data)\n 259→\t\t\t\t} else {\n 260→\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 261→\t\t\t\t}\n 262→\t\t\t\tcontinue\n 263→\t\t\t}\n 264→\n 265→\t\t\tif req.WithStats {\n 266→\t\t\t\tdata.AddStats()\n 267→\t\t\t}\n 268→\t\t\tif query.ScaleFactor != 0 {\n 269→\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n 270→\t\t\t}\n 271→\t\t\tif req.WithPadding {\n 272→\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n 273→\t\t\t}\n 274→\t\t\tif !req.WithData {\n 275→\t\t\t\tdata.Data = nil\n 276→\t\t\t}\n 277→\t\t\tres = append(res, data)\n 278→\t\t}\n 279→\t\tresponse.Results = append(response.Results, res)\n 280→\t}\n 281→\n 282→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 283→\tbw := bufio.NewWriter(rw)\n 284→\tdefer bw.Flush()\n 285→\tif err := json.NewEncoder(bw).Encode(response); err != nil {\n 286→\t\tlog.Print(err)\n 287→\t\treturn\n 288→\t}\n 289→}\n 290→\n 291→// handleFree godoc\n 292→// @summary\n 293→// @tags free\n 294→// @description This endpoint allows the users to free the Buffers from the\n 295→// metric store. This endpoint offers the users to remove then systematically\n 296→// and also allows then to prune the data under node, if they do not want to\n 297→// remove the whole node.\n 298→// @produce json\n 299→// @param to query string false \"up to timestamp\"\n 300→// @success 200 {string} string \"ok\"\n 301→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 302→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 303→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 304→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 305→// @security ApiKeyAuth\n 306→// @router /free/ [post]\n 307→func freeMetrics(rw http.ResponseWriter, r *http.Request) {\n 308→\trawTo := r.URL.Query().Get(\"to\")\n 309→\tif rawTo == \"\" {\n 310→\t\thandleError(errors.New(\"'to' is a required query parameter\"), http.StatusBadRequest, rw)\n 311→\t\treturn\n 312→\t}\n 313→\n 314→\tto, err := strconv.ParseInt(rawTo, 10, 64)\n 315→\tif err != nil {\n 316→\t\thandleError(err, http.StatusInternalServerError, rw)\n 317→\t\treturn\n 318→\t}\n 319→\n 320→\tbodyDec := json.NewDecoder(r.Body)\n 321→\tvar selectors [][]string\n 322→\terr = bodyDec.Decode(&selectors)\n 323→\tif err != nil {\n 324→\t\thttp.Error(rw, err.Error(), http.StatusBadRequest)\n 325→\t\treturn\n 326→\t}\n 327→\n 328→\tms := metricstore.GetMemoryStore()\n 329→\tn := 0\n 330→\tfor _, sel := range selectors {\n 331→\t\tbn, err := ms.Free(sel, to)\n 332→\t\tif err != nil {\n 333→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 334→\t\t\treturn\n 335→\t\t}\n 336→\n 337→\t\tn += bn\n 338→\t}\n 339→\n 340→\trw.WriteHeader(http.StatusOK)\n 341→\tfmt.Fprintf(rw, \"buffers freed: %d\\n\", n)\n 342→}\n 343→\n 344→// handleWrite godoc\n 345→// @summary Receive metrics in InfluxDB line-protocol\n 346→// @tags write\n 347→// @description Write data to the in-memory store in the InfluxDB line-protocol using [this format](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md)\n 348→\n 349→// @accept plain\n 350→// @produce json\n 351→// @param cluster query string false \"If the lines in the body do not have a cluster tag, use this value instead.\"\n 352→// @success 200 {string} string \"ok\"\n 353→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 354→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 355→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 356→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 357→// @security ApiKeyAuth\n 358→// @router /write/ [post]\n 359→func writeMetrics(rw http.ResponseWriter, r *http.Request) {\n 360→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 361→\n 362→\t// Extract the \"cluster\" query parameter without allocating a url.Values map.\n 363→\tcluster := queryParam(r.URL.RawQuery, \"cluster\")\n 364→\n 365→\t// Stream directly from the request body instead of copying it into a\n 366→\t// temporary buffer via io.ReadAll. The line-protocol decoder supports\n 367→\t// io.Reader natively, so this avoids the largest heap allocation.\n 368→\tms := metricstore.GetMemoryStore()\n 369→\tdec := lineprotocol.NewDecoder(r.Body)\n 370→\tif err := metricstore.DecodeLine(dec, ms, cluster); err != nil {\n 371→\t\tcclog.Errorf(\"/api/write error: %s\", err.Error())\n 372→\t\thandleError(err, http.StatusBadRequest, rw)\n 373→\t\treturn\n 374→\t}\n 375→\trw.WriteHeader(http.StatusOK)\n 376→}\n 377→\n 378→// handleDebug godoc\n 379→// @summary Debug endpoint\n 380→// @tags debug\n 381→// @description This endpoint allows the users to print the content of\n 382→// nodes/clusters/metrics to review the state of the data.\n 383→// @produce json\n 384→// @param selector query string false \"Selector\"\n 385→// @success 200 {string} string \"Debug dump\"\n 386→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 387→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 388→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 389→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 390→// @security ApiKeyAuth\n 391→// @router /debug/ [post]\n 392→func debugMetrics(rw http.ResponseWriter, r *http.Request) {\n 393→\traw := r.URL.Query().Get(\"selector\")\n 394→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 395→\tselector := []string{}\n 396→\tif len(raw) != 0 {\n 397→\t\tselector = strings.Split(raw, \":\")\n 398→\t}\n 399→\n 400→\tms := metricstore.GetMemoryStore()\n 401→\tif err := ms.DebugDump(bufio.NewWriter(rw), selector); err != nil {\n 402→\t\thandleError(err, http.StatusBadRequest, rw)\n 403→\t\treturn\n 404→\t}\n 405→}\n 406→\n 407→// handleHealthCheck godoc\n 408→// @summary HealthCheck endpoint\n 409→// @tags healthcheck\n 410→// @description This endpoint allows the users to check if a node is healthy\n 411→// @produce json\n 412→// @param selector query string false \"Selector\"\n 413→// @success 200 {string} string \"Debug dump\"\n 414→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 415→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 416→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 417→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 418→// @security ApiKeyAuth\n 419→// @router /healthcheck/ [get]\n 420→func metricsHealth(rw http.ResponseWriter, r *http.Request) {\n 421→\treq := metricstore.HealthCheckReq{}\n 422→\n 423→\tdec := json.NewDecoder(r.Body)\n 424→\tdec.DisallowUnknownFields()\n 425→\n 426→\tif err := dec.Decode(&req); err != nil {\n 427→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 428→\t\t\thttp.StatusBadRequest, rw)\n 429→\t\treturn\n 430→\t}\n 431→\n 432→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 433→\n 434→\tms := metricstore.GetMemoryStore()\n 435→\tresults, err := ms.HealthCheck(req.Cluster, req.Nodes, req.MetricNames)\n 436→\tif err != nil {\n 437→\t\thandleError(err, http.StatusBadRequest, rw)\n 438→\t\treturn\n 439→\t}\n 440→\n 441→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 442→\tbw := bufio.NewWriter(rw)\n 443→\tdefer bw.Flush()\n 444→\tif err := json.NewEncoder(bw).Encode(results); err != nil {\n 445→\t\tlog.Print(err)\n 446→\t\treturn\n 447→\t}\n 448→}\n 449→\n 450→// queryParam extracts a single query parameter value from a raw query string\n 451→// without allocating a url.Values map.\n 452→func queryParam(rawQuery, key string) string {\n 453→\tfor rawQuery != \"\" {\n 454→\t\tvar kv string\n 455→\t\tif before, after, ok := strings.Cut(rawQuery, \"&\"); ok {\n 456→\t\t\tkv, rawQuery = before, after\n 457→\t\t} else {\n 458→\t\t\tkv, rawQuery = rawQuery, \"\"\n 459→\t\t}\n 460→\t\tif before, after, ok := strings.Cut(kv, \"=\"); ok {\n 461→\t\t\tif before == key {\n 462→\t\t\t\treturn after\n 463→\t\t\t}\n 464→\t\t} else if kv == key {\n 465→\t\t\treturn \"\"\n 466→\t\t}\n 467→\t}\n 468→\treturn \"\"\n 469→}\n 470→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"295e813c-2c04-4ca6-9f82-aa1606688f33","timestamp":"2026-03-04T10:08:39.448Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/internal/api/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-metric-store.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"bufio\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"log\"\n\t\"math\"\n\t\"net/http\"\n\t\"strconv\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\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\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError string `json:\"error\"` // Error Message\n}\n\n// DefaultAPIResponse model\ntype DefaultAPIResponse struct {\n\tMessage string `json:\"msg\"`\n}\n\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError: err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n\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// 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\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\nfunc (data *APIMetricData) PadDataWithNull(ms *metricstore.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\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\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\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// handleQuery godoc\n// @summary Query metrics\n// @tags query\n// @description This endpoint allows the users to retrieve data from the\n// in-memory database. The CCMS will return data in JSON format for the\n// specified interval requested by the user\n// @accept json\n// @produce json\n// @param request body api.ApiQueryRequest true \"API query payload object\"\n// @success 200 {object} api.ApiQueryResponse \"API query response object\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 \t\t {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /query/ [get]\nfunc handleQuery(rw http.ResponseWriter, r *http.Request) {\n\tvar err error\n\tver := r.URL.Query().Get(\"version\")\n\tif ver == \"\" {\n\t\tver = \"v2\"\n\t}\n\treq := APIQueryRequest{WithStats: true, WithData: true, WithPadding: true}\n\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tms := metricstore.GetMemoryStore()\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\t// log.Printf(\"query: %#v\\n\", query)\n\t\t// log.Printf(\"sels: %#v\\n\", sels)\n\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 != metricstore.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\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\tif err := json.NewEncoder(bw).Encode(response); err != nil {\n\t\tlog.Print(err)\n\t\treturn\n\t}\n}\n\n// handleFree godoc\n// @summary\n// @tags free\n// @description This endpoint allows the users to free the Buffers from the\n// metric store. This endpoint offers the users to remove then systematically\n// and also allows then to prune the data under node, if they do not want to\n// remove the whole node.\n// @produce json\n// @param to query string false \"up to timestamp\"\n// @success 200 {string} string \"ok\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /free/ [post]\nfunc freeMetrics(rw http.ResponseWriter, r *http.Request) {\n\trawTo := r.URL.Query().Get(\"to\")\n\tif rawTo == \"\" {\n\t\thandleError(errors.New(\"'to' is a required query parameter\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tto, err := strconv.ParseInt(rawTo, 10, 64)\n\tif err != nil {\n\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tbodyDec := json.NewDecoder(r.Body)\n\tvar selectors [][]string\n\terr = bodyDec.Decode(&selectors)\n\tif err != nil {\n\t\thttp.Error(rw, err.Error(), http.StatusBadRequest)\n\t\treturn\n\t}\n\n\tms := metricstore.GetMemoryStore()\n\tn := 0\n\tfor _, sel := range selectors {\n\t\tbn, err := ms.Free(sel, to)\n\t\tif err != nil {\n\t\t\thandleError(err, http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\n\t\tn += bn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tfmt.Fprintf(rw, \"buffers freed: %d\\n\", n)\n}\n\n// handleWrite godoc\n// @summary Receive metrics in InfluxDB line-protocol\n// @tags write\n// @description Write data to the in-memory store in the InfluxDB line-protocol using [this format](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md)\n\n// @accept plain\n// @produce json\n// @param cluster query string false \"If the lines in the body do not have a cluster tag, use this value instead.\"\n// @success 200 {string} string \"ok\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /write/ [post]\nfunc writeMetrics(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\n\t// Extract the \"cluster\" query parameter without allocating a url.Values map.\n\tcluster := queryParam(r.URL.RawQuery, \"cluster\")\n\n\t// Stream directly from the request body instead of copying it into a\n\t// temporary buffer via io.ReadAll. The line-protocol decoder supports\n\t// io.Reader natively, so this avoids the largest heap allocation.\n\tms := metricstore.GetMemoryStore()\n\tdec := lineprotocol.NewDecoder(r.Body)\n\tif err := metricstore.DecodeLine(dec, ms, cluster); err != nil {\n\t\tcclog.Errorf(\"/api/write error: %s\", err.Error())\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trw.WriteHeader(http.StatusOK)\n}\n\n// handleDebug godoc\n// @summary Debug endpoint\n// @tags debug\n// @description This endpoint allows the users to print the content of\n// nodes/clusters/metrics to review the state of the data.\n// @produce json\n// @param selector query string false \"Selector\"\n// @success 200 {string} string \"Debug dump\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /debug/ [post]\nfunc debugMetrics(rw http.ResponseWriter, r *http.Request) {\n\traw := r.URL.Query().Get(\"selector\")\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\tselector := []string{}\n\tif len(raw) != 0 {\n\t\tselector = strings.Split(raw, \":\")\n\t}\n\n\tms := metricstore.GetMemoryStore()\n\tif err := ms.DebugDump(bufio.NewWriter(rw), selector); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n}\n\n// handleHealthCheck godoc\n// @summary HealthCheck endpoint\n// @tags healthcheck\n// @description This endpoint allows the users to check if a node is healthy\n// @produce json\n// @param selector query string false \"Selector\"\n// @success 200 {string} string \"Debug dump\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /healthcheck/ [get]\nfunc metricsHealth(rw http.ResponseWriter, r *http.Request) {\n\treq := metricstore.HealthCheckReq{}\n\n\tdec := json.NewDecoder(r.Body)\n\tdec.DisallowUnknownFields()\n\n\tif err := dec.Decode(&req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\n\tms := metricstore.GetMemoryStore()\n\tresults, err := ms.HealthCheck(req.Cluster, req.Nodes, req.MetricNames)\n\tif err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tbw := bufio.NewWriter(rw)\n\tdefer bw.Flush()\n\tif err := json.NewEncoder(bw).Encode(results); err != nil {\n\t\tlog.Print(err)\n\t\treturn\n\t}\n}\n\n// queryParam extracts a single query parameter value from a raw query string\n// without allocating a url.Values map.\nfunc queryParam(rawQuery, key string) string {\n\tfor rawQuery != \"\" {\n\t\tvar kv string\n\t\tif before, after, ok := strings.Cut(rawQuery, \"&\"); ok {\n\t\t\tkv, rawQuery = before, after\n\t\t} else {\n\t\t\tkv, rawQuery = rawQuery, \"\"\n\t\t}\n\t\tif before, after, ok := strings.Cut(kv, \"=\"); ok {\n\t\t\tif before == key {\n\t\t\t\treturn after\n\t\t\t}\n\t\t} else if kv == key {\n\t\t\treturn \"\"\n\t\t}\n\t}\n\treturn \"\"\n}\n","numLines":470,"startLine":1,"totalLines":470}},"sourceToolAssistantUUID":"7247204a-7a1a-4e9f-8a58-f69c812d2a6a"}
{"parentUuid":"295e813c-2c04-4ca6-9f82-aa1606688f33","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_0144EuFsfdgSxfbzrAc92F4Z","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a good understanding of the current codebase. Let me review the key differences from the current README:\n\n1. **Architecture has changed**: The storage engine is now in `cc-backend/pkg/metricstore` (external package), not internal. The `internal/api/` package is the REST API wrapper.\n\n2. **Default port**: The config shows `0.0.0.0:8082`, not `8080` as mentioned in the curl examples in the README.\n\n3. **CLI flags**: `-dev` flag now enables Swagger UI (was mentioned before), `-gops` flag for debugging, `-logdate` for timestamps, `-version` for version info.\n\n\n4. **Config and API updates**: The config now includes a `backend-url` field for the node provider, endpoints support trailing slashes for compatibility, and the healthcheck endpoint accepts JSON payloads with cluster/nodes/metrics parameters. JWT authentication has switched to Ed25519 signing, and the project depends on `cc-lib/v2`, `cc-line-protocol/v2`, and the external metricstore package. Swagger documentation is accessible at `/swagger/` when running with the `-dev` flag.\n\n5. **Server defaults and debug features**: The default server address is `:8082` rather than `:8080`, and the debug endpoint at `GET /api/debug` accepts an optional `selector` query parameter using colon-separated values. NATS configuration now supports credentials in the config file and handles multiple cluster subscriptions.\n\nNow I'm putting together an updated README that captures all these implementation details.","signature":"EqQMCkYICxgCKkDpKHBr4E6onai9t9jojWVQL7P1AB1LnaeCceJI6viJrwJdiyN/uAuhJZqxp++k3gu5fYU1ne/nMAJuX9gdVa/cEgxjTmoX00EVhTTjWl8aDNiupBkVCwG0BFi4yyIwByG65mLnaxSjUAy4WNPCZqAKYHmVCrGA8HTPDSM+mR2I+kuXWbUK5pQ3MDGVbHHbKosLvQihOEUvaLHiZWAAOdTzBrjxBn2QNKXUsUTmyd5+ed4cdmQFkfmRXI8uN7Fea+Ci8twcHFKR0zM8Ru0dmRpzKyi3YGn2haHQxZcGw5rqc0YWSrl1z2+kWB9xm/jJLOdEdnVofy9PaBwZ+9IyJIxELiw+OAn98v0hUw4SVcXaR6MteFB5yoXIY7CG7utrdR4CmLPrnpFYfg8x2nbRMaoQEXevroelgzefVbOfoOXyNuQEOVNM1F67LmnWgGRWLebDy61bYqrOvtUljZ6NwtZPAlF8CB2FviS0ZIoLG3LbNPfD4HaA034vbfkSA7xUkKkP+yQ8f/4M7oiWf7SSsKTWELRDiYMyfLzFk7Rn1FgeIvBCUbJmFXOjgiPSpIL7yFJBxYKv1fM8agnTJEB8aE18e9QRfvBw8Yi9Thkio6a9jK79dFoI9yXmKd0LgUMbVUVr/nqU8lTFBKDc58UMP7YnarsoHM8xkSa1HuRT7RX0QMMk681lXjucbpAH643mi/NYV6CQJmnR5paYQsvfJkbwDESbRy9psjn5h/tp3dFGM1EgpWXDJpF/lemkbVpT0fE3Xhvo5DHaf6XzN7OPv7Wab83kLZely3FhPaCgIf+jaK9MiDneRhy4NlgIwTSYBgy1mV+6kkq8qR5Qb3AgCb4VVv4B0GVL1k5mHy5TbVhGl2AlEUzMhlKdVc8Okaa9T9hC15+JpwpsqKO3zeN4OiaTCxnwON2K9D839Dg0BbtfuDrkCOMjLYU3kKfeBpbg82MTOEq9EHkQBVAFDMB767on09CXD2FPf/DIi52iDmDqsSfztjzqgaNwkdvvbouqu1AR8PmApMLCsXYE8LD2Gut1PKIfTWc3b8q96XBF9Ok1Pn0MbTYQ6WqBkOrTx+GzjfoiN81weZ4bWuBKXrl7rEsL2mhfsKTId/YpJ4IQyDoC+d/bJDm766fJjqujGLPpfWnil8PaNNm690gSrVskrC5Mg+YLbIVhw+7m6kbY96i3VjbLWYE2u0vn/ZuFQ7ik+jXE2oWbfT4m4EX5awYVJgVzyFUF3XY7S+IHVICqypwNJjMUbWs99FJwG0YUuAUEoYN7PH2jDH+vZx5h6izVtTXAolh9XtZixlXA8HcvQJC2IygFooBMeJ5CFkbxt4YuKpegPcjec+58TTgLoOzg9mc3l5tded8W4PCHn3YkUqEjHs0JZWnf2iXaahteG7aFi6OOoZPlAm9a3QL8fJEQ4m72Wn+hRgdnHNJvFiaqokarl8uM9aizdhESj7IUkMVnEzUscQB3Dj/M9ipoVSUFP/T5x62r5DL4i1YeWvpNdxlbTybd5t6TpN5T8zWpXm5r5aC1iaZ7ckxmCgzuK4HfyBXtdPTB8/mQ4ottgbU2BYjQN4U9C57VnUXcl3c9OFlfImQkiUa8AYOBY0rJvQ+a+s9H8jWwzz+5dR5hgHiJAt6KZpLmnu+WoBZ5hW71v8suvNeIp5b11dn+x/rYKsXMyeWNWcyaKfkbEJDzfHcC4m/jdKM2vnotodYLhQNs5RtIqQeRgtt2TNZwrWR3Nr+NLPV+LN13DCn0jnGtkPfVku1lPPgVn2zRAYJAp3xbDUnCWRxbI4fozSzvxROvKGVDRaSpsRsHsM/rfx1Udbmal3grWYdycgaP9pJMiIfmTLjDv2DqDmqx6g1xl7q6wSykemZ+MqZlkmkZjPH0D6xiVg42/BxXDUu1PonMauMkHV/m06TzZYAIQ0HiB7Pf9cgMwiBJWuEcxQlddz+xLtoh85WaCg6gXszmFRiUvmcXphGj3qQIPlE13qFXjaF5XRYJPdNvuq0nuFXZhjL6YMEV90C+ls2DlTKYds7lOhoN50dw4CN7Nj5PeLb631HFoUTyCIemHEVeiTYaJv2Nw7S2GAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8550,"cache_read_input_tokens":33384,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8550},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYhrcw2pUDQuakmFDt4BW","type":"assistant","uuid":"8b4724ad-a2c6-4400-b3e4-110af1007c98","timestamp":"2026-03-04T10:08:50.898Z"}
{"parentUuid":"8b4724ad-a2c6-4400-b3e4-110af1007c98","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_0144EuFsfdgSxfbzrAc92F4Z","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a thorough understanding of the current implementation. Let me update the README:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8550,"cache_read_input_tokens":33384,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8550},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYhrcw2pUDQuakmFDt4BW","type":"assistant","uuid":"b39eb7a7-726a-4bd8-b742-01d502a60631","timestamp":"2026-03-04T10:08:50.903Z"}
{"parentUuid":"b39eb7a7-726a-4bd8-b742-01d502a60631","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_0144EuFsfdgSxfbzrAc92F4Z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qd4ovrkVuNGR9CvEoacsNj","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","content":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory (but written to disk as compressed JSON for long term\nstorage), accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n|--------|------|-------------|\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8550,"cache_read_input_tokens":33384,"output_tokens":3793,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8550,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYhrcw2pUDQuakmFDt4BW","type":"assistant","uuid":"9370d3f4-3a07-4e82-b2a4-d7a44b16768a","timestamp":"2026-03-04T10:09:47.799Z"}
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{"parentUuid":"9370d3f4-3a07-4e82-b2a4-d7a44b16768a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qd4ovrkVuNGR9CvEoacsNj","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-metric-store/README.md has been updated successfully."}]},"uuid":"ec92c88f-c89b-45e7-a16f-301a5a96e919","timestamp":"2026-03-04T10:09:51.935Z","toolUseResult":{"type":"update","filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","content":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory (but written to disk as compressed JSON for long term\nstorage), accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n|--------|------|-------------|\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n","structuredPatch":[{"oldStart":13,"oldLines":10,"newStart":13,"newLines":12,"lines":[" checkpoints, not as soon as it is received. Also only the fixed configured"," duration is stored and available."," ","-Go look at the [GitHub","-Issues](https://github.com/ClusterCockpit/cc-metric-store/issues) for a progress","-overview. The [NATS.io](https://nats.io/) based writing endpoint consumes messages in [this","-format of the InfluxDB line","+The storage engine is provided by the","+[cc-backend](https://github.com/ClusterCockpit/cc-backend) package","+(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.","+","+The [NATS.io](https://nats.io/) based writing endpoint and the HTTP write","+endpoint both consume messages in [this format of the InfluxDB line"," protocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md)."," "," ## Building"]},{"oldStart":24,"oldLines":23,"newStart":26,"newLines":48,"lines":[" `cc-metric-store` can be built using the provided `Makefile`."," It supports the following targets:"," ","-- `make`: Build the application, copy a example configuration file and generate","+- `make`: Build the application, copy an example configuration file and generate"," checkpoint folders if required."," - `make clean`: Clean the golang build cache and application binary"," - `make distclean`: In addition to the clean target also remove the `./var`","- folder","+ folder and `config.json`"," - `make swagger`: Regenerate the Swagger files from the source comments.","-- `make test`: Run test and basic checks.","+- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`)."," ","+## Running","+","+```sh","+./cc-metric-store # Uses ./config.json","+./cc-metric-store -config /path/to/config.json","+./cc-metric-store -dev # Enable Swagger UI at /swagger/","+./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit","+./cc-metric-store -logdate # Add date and time to log messages","+./cc-metric-store -version # Show version information and exit","+./cc-metric-store -gops # Enable gops agent for debugging","+```","+"," ## REST API Endpoints"," "," The REST API is documented in [swagger.json](./api/swagger.json). You can"," explore and try the REST API using the integrated [SwaggerUI web","-interface](http://localhost:8082/swagger).","+interface](http://localhost:8082/swagger/) (requires the `-dev` flag)."," "," For more information on the `cc-metric-store` REST API have a look at the","-ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/)","+ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/)."," ","+All endpoints support both trailing-slash and non-trailing-slash variants:","+","+| Method | Path | Description |","+|--------|------|-------------|","+| `GET` | `/api/query/` | Query metrics with selectors |","+| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |","+| `POST` | `/api/free/` | Free buffers up to a timestamp |","+| `GET` | `/api/debug/` | Dump internal state |","+| `GET` | `/api/healthcheck/` | Check node health status |","+","+If `jwt-public-key` is set in `config.json`, all endpoints require JWT","+authentication using an Ed25519 key (`Authorization: Bearer <token>`).","+"," ## Run tests"," "," Some benchmarks concurrently access the `MemoryStore`, so enabling the"]},{"oldStart":60,"oldLines":11,"newStart":87,"newLines":11,"lines":[" "," The cc-metric-store works as a time-series database and uses the InfluxDB line"," protocol as input format. Unlike InfluxDB, the data is indexed by one single","-strictly hierarchical tree structure. A selector is build out of the tags in the","+strictly hierarchical tree structure. A selector is built out of the tags in the"," InfluxDB line protocol, and can be used to select a node (not in the sense of a"," compute node, can also be a socket, cpu, ...) in that tree. The implementation"," calls those nodes `level` to avoid confusion. It is impossible to access data","-only by knowing the _socket_ or _cpu_ tag, all higher up levels have to be","+only by knowing the _socket_ or _cpu_ tag — all higher up levels have to be"," specified as well."," "," This is what the hierarchy currently looks like:"]},{"oldStart":90,"oldLines":18,"newStart":117,"newLines":97,"lines":[" "," 1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1"," 2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1","-3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as floats, all CPUs are implied","+3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied"," "," ## Config file"," ","-You find the configuration options on the ClusterCockpit [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).","+The config file is a JSON document with four top-level sections."," ","+### `main`","+","+```json","+\"main\": {","+ \"addr\": \"0.0.0.0:8082\",","+ \"https-cert-file\": \"\",","+ \"https-key-file\": \"\",","+ \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",","+ \"user\": \"\",","+ \"group\": \"\",","+ \"backend-url\": \"\"","+}","+```","+","+- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)","+- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS","+- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.","+- `user` / `group`: Drop privileges to this user/group after startup","+- `backend-url`: Optional URL of a cc-backend instance used as node provider","+","+### `metrics`","+","+Per-metric configuration. Each key is the metric name:","+","+```json","+\"metrics\": {","+ \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },","+ \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },","+ \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }","+}","+```","+","+- `frequency`: Sampling interval in seconds","+- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)","+","+### `metric-store`","+","+```json","+\"metric-store\": {","+ \"checkpoints\": {","+ \"interval\": \"12h\",","+ \"directory\": \"./var/checkpoints\"","+ },","+ \"memory-cap\": 100,","+ \"retention-in-memory\": \"48h\",","+ \"cleanup\": {","+ \"mode\": \"archive\",","+ \"interval\": \"48h\",","+ \"directory\": \"./var/archive\"","+ },","+ \"nats-subscriptions\": [","+ { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }","+ ]","+}","+```","+","+- `checkpoints.interval`: How often to write checkpoints to disk","+- `checkpoints.directory`: Where to store checkpoint files","+- `memory-cap`: Memory cap in MB","+- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)","+- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`","+- `cleanup.interval`: How often to run the cleanup","+- `cleanup.directory`: Where to archive old data","+- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag","+","+### `nats`","+","+```json","+\"nats\": {","+ \"address\": \"nats://0.0.0.0:4222\",","+ \"username\": \"root\",","+ \"password\": \"root\"","+}","+```","+","+NATS connection is optional. If not configured, only the HTTP write endpoint is available.","+","+For more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).","+"," ## Test the complete setup (excluding cc-backend itself)"," "," There are two ways for sending data to the cc-metric-store, both of which are"," supported by the"," [cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).","-This example uses NATS, the alternative is to use HTTP.","+This example uses NATS; the alternative is to use HTTP."," "," ```sh"," # Only needed once, downloads the docker image"]},{"oldStart":142,"oldLines":22,"newStart":248,"newLines":25,"lines":[" ```sh"," JWT=\"REDACTED\""," ","-# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:","-curl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/query\" -d \"{ \\\"cluster\\\": \\\"testcluster\\\", \\\"from\\\": $(expr $(date +%s) - 60), \\\"to\\\": $(date +%s), \\\"queries\\\": [{","- \\\"metric\\\": \\\"load_one\\\",","- \\\"host\\\": \\\"$(hostname)\\\"","-}] }\"","-","-# ...","+# If the collector and store and nats-server have been running for at least 60 seconds on the same host:","+curl -H \"Authorization: Bearer $JWT\" \\","+ \"http://localhost:8082/api/query/\" \\","+ -d '{","+ \"cluster\": \"testcluster\",","+ \"from\": '\"$(expr $(date +%s) - 60)\"',","+ \"to\": '\"$(date +%s)\"',","+ \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]","+ }'"," ```"," ","-For debugging there is a debug endpoint to dump the current content to stdout:","+For debugging, the debug endpoint dumps the current content to stdout:"," "," ```sh"," JWT=\"REDACTED\""," ","-# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:","-curl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/debug\"","+# Dump everything","+curl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\""," ","-# ...","+# Dump a specific selector (colon-separated path)","+curl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\""," ```"]}],"originalFile":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory (but written to disk as compressed JSON for long term\nstorage), accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nGo look at the [GitHub\nIssues](https://github.com/ClusterCockpit/cc-metric-store/issues) for a progress\noverview. The [NATS.io](https://nats.io/) based writing endpoint consumes messages in [this\nformat of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy a example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run test and basic checks.\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/)\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is build out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag, all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as floats, all CPUs are implied\n\n## Config file\n\nYou find the configuration options on the ClusterCockpit [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS, the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\ncurl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/query\" -d \"{ \\\"cluster\\\": \\\"testcluster\\\", \\\"from\\\": $(expr $(date +%s) - 60), \\\"to\\\": $(date +%s), \\\"queries\\\": [{\n \\\"metric\\\": \\\"load_one\\\",\n \\\"host\\\": \\\"$(hostname)\\\"\n}] }\"\n\n# ...\n```\n\nFor debugging there is a debug endpoint to dump the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:\ncurl -H \"Authorization: Bearer $JWT\" -D - \"http://localhost:8080/api/debug\"\n\n# ...\n```\n"},"sourceToolAssistantUUID":"9370d3f4-3a07-4e82-b2a4-d7a44b16768a"}
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{"parentUuid":"87cf0894-8935-4735-9b86-81a142be5b26","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015C7jLq8eAhzc493Fa2FPF6","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→// Format behaviour:\n 90→// - \"json\": Periodic checkpointing based on Keys.Checkpoints.Interval\n 91→// - \"wal\": Periodic binary snapshots + WAL rotation at Keys.Checkpoints.Interval\n 92→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 93→\tlastCheckpointMu.Lock()\n 94→\tlastCheckpoint = time.Now()\n 95→\tlastCheckpointMu.Unlock()\n 96→\n 97→\tms := GetMemoryStore()\n 98→\n 99→\twg.Go(func() {\n 100→\n 101→\t\td, err := time.ParseDuration(Keys.Checkpoints.Interval)\n 102→\t\tif err != nil {\n 103→\t\t\tcclog.Fatalf(\"[METRICSTORE]> invalid checkpoint interval '%s': %s\", Keys.Checkpoints.Interval, err.Error())\n 104→\t\t}\n 105→\t\tif d <= 0 {\n 106→\t\t\tcclog.Warnf(\"[METRICSTORE]> checkpoint interval is zero or negative (%s), checkpointing disabled\", d)\n 107→\t\t\treturn\n 108→\t\t}\n 109→\n 110→\t\tticker := time.NewTicker(d)\n 111→\t\tdefer ticker.Stop()\n 112→\n 113→\t\tfor {\n 114→\t\t\tselect {\n 115→\t\t\tcase <-ctx.Done():\n 116→\t\t\t\treturn\n 117→\t\t\tcase <-ticker.C:\n 118→\t\t\t\tlastCheckpointMu.Lock()\n 119→\t\t\t\tfrom := lastCheckpoint\n 120→\t\t\t\tlastCheckpointMu.Unlock()\n 121→\n 122→\t\t\t\tnow := time.Now()\n 123→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 124→\n 125→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 126→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 127→\t\t\t\t\tif err != nil {\n 128→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 129→\t\t\t\t\t} else {\n 130→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 131→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 132→\t\t\t\t\t\tlastCheckpoint = now\n 133→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 134→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 135→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 136→\t\t\t\t\t}\n 137→\t\t\t\t} else {\n 138→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 139→\t\t\t\t\tif err != nil {\n 140→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 141→\t\t\t\t\t} else {\n 142→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 143→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 144→\t\t\t\t\t\tlastCheckpoint = now\n 145→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 146→\t\t\t\t\t}\n 147→\t\t\t\t}\n 148→\t\t\t}\n 149→\t\t}\n 150→\t})\n 151→}\n 152→\n 153→// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n 154→//\n 155→// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n 156→// This method manually constructs JSON to avoid allocations and interface conversions.\n 157→func (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n 158→\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n 159→\tbuf = append(buf, `{\"frequency\":`...)\n 160→\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n 161→\tbuf = append(buf, `,\"start\":`...)\n 162→\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n 163→\tbuf = append(buf, `,\"data\":[`...)\n 164→\tfor i, x := range cm.Data {\n 165→\t\tif i != 0 {\n 166→\t\t\tbuf = append(buf, ',')\n 167→\t\t}\n 168→\t\tif x.IsNaN() {\n 169→\t\t\tbuf = append(buf, `null`...)\n 170→\t\t} else {\n 171→\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n 172→\t\t}\n 173→\t}\n 174→\tbuf = append(buf, `]}`...)\n 175→\treturn buf, nil\n 176→}\n 177→\n 178→// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n 179→//\n 180→// Metrics at root and cluster levels are skipped. One file per host is created.\n 181→// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n 182→// at a time, allowing concurrent writes/reads to other hosts.\n 183→//\n 184→// Returns the number of checkpoint files created and any errors encountered.\n 185→func (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n 186→\t// Pre-calculate capacity by counting cluster/host pairs\n 187→\tm.root.lock.RLock()\n 188→\ttotalHosts := 0\n 189→\tfor _, l1 := range m.root.children {\n 190→\t\tl1.lock.RLock()\n 191→\t\ttotalHosts += len(l1.children)\n 192→\t\tl1.lock.RUnlock()\n 193→\t}\n 194→\tm.root.lock.RUnlock()\n 195→\n 196→\tlevels := make([]*Level, 0, totalHosts)\n 197→\tselectors := make([][]string, 0, totalHosts)\n 198→\n 199→\tm.root.lock.RLock()\n 200→\tfor sel1, l1 := range m.root.children {\n 201→\t\tl1.lock.RLock()\n 202→\t\tfor sel2, l2 := range l1.children {\n 203→\t\t\tlevels = append(levels, l2)\n 204→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 205→\t\t}\n 206→\t\tl1.lock.RUnlock()\n 207→\t}\n 208→\tm.root.lock.RUnlock()\n 209→\n 210→\ttype workItem struct {\n 211→\t\tlevel *Level\n 212→\t\tdir string\n 213→\t\tselector []string\n 214→\t}\n 215→\n 216→\tn, errs := int32(0), int32(0)\n 217→\n 218→\tvar wg sync.WaitGroup\n 219→\twg.Add(Keys.NumWorkers)\n 220→\twork := make(chan workItem, Keys.NumWorkers*2)\n 221→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 222→\t\tgo func() {\n 223→\t\t\tdefer wg.Done()\n 224→\n 225→\t\t\tfor workItem := range work {\n 226→\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n 227→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 228→\t\t\t\t\t\tcontinue\n 229→\t\t\t\t\t}\n 230→\n 231→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n 232→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 233→\t\t\t\t} else {\n 234→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 235→\t\t\t\t}\n 236→\t\t\t}\n 237→\t\t}()\n 238→\t}\n 239→\n 240→\tfor i := 0; i < len(levels); i++ {\n 241→\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n 242→\t\twork <- workItem{\n 243→\t\t\tlevel: levels[i],\n 244→\t\t\tdir: dir,\n 245→\t\t\tselector: selectors[i],\n 246→\t\t}\n 247→\t}\n 248→\n 249→\tclose(work)\n 250→\twg.Wait()\n 251→\n 252→\tif errs > 0 {\n 253→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 254→\t}\n 255→\treturn int(n), nil\n 256→}\n 257→\n 258→// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n 259→// Skips metrics that are already archived. Returns nil if no unarchived data exists.\n 260→func (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n 261→\tl.lock.RLock()\n 262→\tdefer l.lock.RUnlock()\n 263→\n 264→\tretval := &CheckpointFile{\n 265→\t\tFrom: from,\n 266→\t\tTo: to,\n 267→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 268→\t\tChildren: make(map[string]*CheckpointFile),\n 269→\t}\n 270→\n 271→\tfor metric, minfo := range m.Metrics {\n 272→\t\tb := l.metrics[minfo.offset]\n 273→\t\tif b == nil {\n 274→\t\t\tcontinue\n 275→\t\t}\n 276→\n 277→\t\tallArchived := true\n 278→\t\tb.iterFromTo(from, to, func(b *buffer) error {\n 279→\t\t\tif !b.archived {\n 280→\t\t\t\tallArchived = false\n 281→\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n 282→\t\t\t}\n 283→\t\t\treturn nil\n 284→\t\t})\n 285→\n 286→\t\tif allArchived {\n 287→\t\t\tcontinue\n 288→\t\t}\n 289→\n 290→\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n 291→\t\tdata, start, end, err := b.read(from, to, data)\n 292→\t\tif err != nil {\n 293→\t\t\treturn nil, err\n 294→\t\t}\n 295→\n 296→\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n 297→\t\t\tdata[i] = schema.NaN\n 298→\t\t}\n 299→\n 300→\t\tretval.Metrics[metric] = &CheckpointMetrics{\n 301→\t\t\tFrequency: b.frequency,\n 302→\t\t\tStart: start,\n 303→\t\t\tData: data,\n 304→\t\t}\n 305→\t}\n 306→\n 307→\tfor name, child := range l.children {\n 308→\t\tval, err := child.toCheckpointFile(from, to, m)\n 309→\t\tif err != nil {\n 310→\t\t\treturn nil, err\n 311→\t\t}\n 312→\n 313→\t\tif val != nil {\n 314→\t\t\tretval.Children[name] = val\n 315→\t\t}\n 316→\t}\n 317→\n 318→\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n 319→\t\treturn nil, nil\n 320→\t}\n 321→\n 322→\treturn retval, nil\n 323→}\n 324→\n 325→// toCheckpoint writes a Level's data to a JSON checkpoint file.\n 326→// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\n 327→func (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n 328→\tcf, err := l.toCheckpointFile(from, to, m)\n 329→\tif err != nil {\n 330→\t\treturn err\n 331→\t}\n 332→\n 333→\tif cf == nil {\n 334→\t\treturn ErrNoNewArchiveData\n 335→\t}\n 336→\n 337→\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n 338→\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 339→\tif err != nil && os.IsNotExist(err) {\n 340→\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n 341→\t\tif err == nil {\n 342→\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 343→\t\t}\n 344→\t}\n 345→\tif err != nil {\n 346→\t\treturn err\n 347→\t}\n 348→\tdefer f.Close()\n 349→\n 350→\tbw := bufio.NewWriter(f)\n 351→\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n 352→\t\treturn err\n 353→\t}\n 354→\n 355→\treturn bw.Flush()\n 356→}\n 357→\n 358→// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n 359→// Returns error if directory structure is invalid.\n 360→func enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n 361→\tclustersDir, err := os.ReadDir(dir)\n 362→\tif err != nil {\n 363→\t\treturn err\n 364→\t}\n 365→\n 366→\tfor _, clusterDir := range clustersDir {\n 367→\t\tif !clusterDir.IsDir() {\n 368→\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n 369→\t\t}\n 370→\n 371→\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n 372→\t\tif err != nil {\n 373→\t\t\treturn err\n 374→\t\t}\n 375→\n 376→\t\tfor _, hostDir := range hostsDir {\n 377→\t\t\tif !hostDir.IsDir() {\n 378→\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n 379→\t\t\t}\n 380→\n 381→\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n 382→\t\t}\n 383→\t}\n 384→\n 385→\treturn nil\n 386→}\n 387→\n 388→// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n 389→//\n 390→// Uses worker pool to load cluster/host combinations. Returns number of files\n 391→// loaded and any errors.\n 392→func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n 393→\tvar wg sync.WaitGroup\n 394→\twork := make(chan [2]string, Keys.NumWorkers*4)\n 395→\tn, errs := int32(0), int32(0)\n 396→\n 397→\twg.Add(Keys.NumWorkers)\n 398→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 399→\t\tgo func() {\n 400→\t\t\tdefer wg.Done()\n 401→\t\t\tfor host := range work {\n 402→\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n 403→\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n 404→\t\t\t\tif err != nil {\n 405→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n 406→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 407→\t\t\t\t}\n 408→\t\t\t\tatomic.AddInt32(&n, int32(nn))\n 409→\t\t\t}\n 410→\t\t}()\n 411→\t}\n 412→\n 413→\terr := enqueueCheckpointHosts(dir, work)\n 414→\tclose(work)\n 415→\twg.Wait()\n 416→\n 417→\tif err != nil {\n 418→\t\treturn int(n), err\n 419→\t}\n 420→\n 421→\tif errs > 0 {\n 422→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 423→\t}\n 424→\treturn int(n), nil\n 425→}\n 426→\n 427→// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n 428→//\n 429→// Creates checkpoint directory if it doesn't exist. This function must be called\n 430→// before any writes or reads, and can only be called once.\n 431→func (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n 432→\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n 433→\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n 434→\t\tif err != nil {\n 435→\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n 436→\t\t}\n 437→\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n 438→\t}\n 439→\n 440→\treturn m.FromCheckpoint(dir, from)\n 441→}\n 442→\n 443→func (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n 444→\tbr := bufio.NewReader(f)\n 445→\tcf := &CheckpointFile{}\n 446→\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 447→\t\treturn err\n 448→\t}\n 449→\n 450→\tif cf.To != 0 && cf.To < from {\n 451→\t\treturn nil\n 452→\t}\n 453→\n 454→\tif err := l.loadFile(cf, m); err != nil {\n 455→\t\treturn err\n 456→\t}\n 457→\n 458→\treturn nil\n 459→}\n 460→\n 461→func (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n 462→\tfor name, metric := range cf.Metrics {\n 463→\t\tn := len(metric.Data)\n 464→\t\tb := &buffer{\n 465→\t\t\tfrequency: metric.Frequency,\n 466→\t\t\tstart: metric.Start,\n 467→\t\t\tdata: metric.Data[0:n:n],\n 468→\t\t\tprev: nil,\n 469→\t\t\tnext: nil,\n 470→\t\t\tarchived: true,\n 471→\t\t}\n 472→\n 473→\t\tminfo, ok := m.Metrics[name]\n 474→\t\tif !ok {\n 475→\t\t\tcontinue\n 476→\t\t}\n 477→\n 478→\t\tprev := l.metrics[minfo.offset]\n 479→\t\tif prev == nil {\n 480→\t\t\tl.metrics[minfo.offset] = b\n 481→\t\t} else {\n 482→\t\t\tif prev.start > b.start {\n 483→\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n 484→\t\t\t}\n 485→\n 486→\t\t\tb.prev = prev\n 487→\t\t\tprev.next = b\n 488→\t\t}\n 489→\t\tl.metrics[minfo.offset] = b\n 490→\t}\n 491→\n 492→\tif len(cf.Children) > 0 && l.children == nil {\n 493→\t\tl.children = make(map[string]*Level)\n 494→\t}\n 495→\n 496→\tfor sel, childCf := range cf.Children {\n 497→\t\tchild, ok := l.children[sel]\n 498→\t\tif !ok {\n 499→\t\t\tchild = &Level{\n 500→\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n 501→\t\t\t\tchildren: nil,\n 502→\t\t\t}\n 503→\t\t\tl.children[sel] = child\n 504→\t\t}\n 505→\n 506→\t\tif err := child.loadFile(childCf, m); err != nil {\n 507→\t\t\treturn err\n 508→\t\t}\n 509→\t}\n 510→\n 511→\treturn nil\n 512→}\n 513→\n 514→// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n 515→// single host directory. Snapshot files are loaded first (sorted by timestamp),\n 516→// then current.wal is replayed on top.\n 517→func (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n 518→\tdirentries, err := os.ReadDir(dir)\n 519→\tif err != nil {\n 520→\t\tif os.IsNotExist(err) {\n 521→\t\t\treturn 0, nil\n 522→\t\t}\n 523→\t\treturn 0, err\n 524→\t}\n 525→\n 526→\tallFiles := make([]fs.DirEntry, 0)\n 527→\tvar walEntry fs.DirEntry\n 528→\tfilesLoaded := 0\n 529→\n 530→\tfor _, e := range direntries {\n 531→\t\tif e.IsDir() {\n 532→\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n 533→\t\t\t// These are ignored; their data is not loaded.\n 534→\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n 535→\t\t\tcontinue\n 536→\t\t}\n 537→\n 538→\t\tname := e.Name()\n 539→\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n 540→\t\t\tallFiles = append(allFiles, e)\n 541→\t\t} else if name == \"current.wal\" {\n 542→\t\t\twalEntry = e\n 543→\t\t}\n 544→\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n 545→\t}\n 546→\n 547→\tfiles, err := findFiles(allFiles, from, true)\n 548→\tif err != nil {\n 549→\t\treturn filesLoaded, err\n 550→\t}\n 551→\n 552→\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n 553→\t\t\".json\": l.loadJSONFile,\n 554→\t\t\".bin\": l.loadBinaryFile,\n 555→\t}\n 556→\n 557→\tfor _, filename := range files {\n 558→\t\text := filepath.Ext(filename)\n 559→\t\tloader := loaders[ext]\n 560→\t\tif loader == nil {\n 561→\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n 562→\t\t\tcontinue\n 563→\t\t}\n 564→\n 565→\t\terr := func() error {\n 566→\t\t\tf, err := os.Open(path.Join(dir, filename))\n 567→\t\t\tif err != nil {\n 568→\t\t\t\treturn err\n 569→\t\t\t}\n 570→\t\t\tdefer f.Close()\n 571→\t\t\treturn loader(m, f, from)\n 572→\t\t}()\n 573→\t\tif err != nil {\n 574→\t\t\treturn filesLoaded, err\n 575→\t\t}\n 576→\t\tfilesLoaded++\n 577→\t}\n 578→\n 579→\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n 580→\tif walEntry != nil {\n 581→\t\terr := func() error {\n 582→\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n 583→\t\t\tif err != nil {\n 584→\t\t\t\treturn err\n 585→\t\t\t}\n 586→\t\t\tdefer f.Close()\n 587→\t\t\treturn l.loadWALFile(m, f, from)\n 588→\t\t}()\n 589→\t\tif err != nil {\n 590→\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n 591→\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n 592→\t\t} else {\n 593→\t\t\tfilesLoaded++\n 594→\t\t}\n 595→\t}\n 596→\n 597→\treturn filesLoaded, nil\n 598→}\n 599→\n 600→// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n 601→// Supports \".json\" (format: \"<ts>.json\") and \".bin\" (format: \"<ts>.bin\").\n 602→func parseTimestampFromFilename(name string) (int64, error) {\n 603→\tswitch {\n 604→\tcase strings.HasSuffix(name, \".json\"):\n 605→\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n 606→\tcase strings.HasSuffix(name, \".bin\"):\n 607→\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n 608→\tdefault:\n 609→\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n 610→\t}\n 611→}\n 612→\n 613→// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n 614→// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n 615→// last file before t if t falls between two files).\n 616→func findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n 617→\tnums := map[string]int64{}\n 618→\tfor _, e := range direntries {\n 619→\t\tname := e.Name()\n 620→\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n 621→\t\t\tcontinue\n 622→\t\t}\n 623→\n 624→\t\tts, err := parseTimestampFromFilename(name)\n 625→\t\tif err != nil {\n 626→\t\t\treturn nil, err\n 627→\t\t}\n 628→\t\tnums[name] = ts\n 629→\t}\n 630→\n 631→\tsort.Slice(direntries, func(i, j int) bool {\n 632→\t\ta, b := direntries[i], direntries[j]\n 633→\t\treturn nums[a.Name()] < nums[b.Name()]\n 634→\t})\n 635→\n 636→\tif len(nums) == 0 {\n 637→\t\treturn nil, nil\n 638→\t}\n 639→\n 640→\tfilenames := make([]string, 0)\n 641→\n 642→\tfor i, e := range direntries {\n 643→\t\tts1 := nums[e.Name()]\n 644→\n 645→\t\tif findMoreRecentFiles && t <= ts1 {\n 646→\t\t\tfilenames = append(filenames, e.Name())\n 647→\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n 648→\t\t\tfilenames = append(filenames, e.Name())\n 649→\t\t}\n 650→\n 651→\t\tif i == len(direntries)-1 {\n 652→\t\t\tcontinue\n 653→\t\t}\n 654→\n 655→\t\tenext := direntries[i+1]\n 656→\t\tts2 := nums[enext.Name()]\n 657→\n 658→\t\tif findMoreRecentFiles {\n 659→\t\t\tif ts1 < t && t < ts2 {\n 660→\t\t\t\tfilenames = append(filenames, e.Name())\n 661→\t\t\t}\n 662→\t\t}\n 663→\t}\n 664→\n 665→\treturn filenames, nil\n 666→}\n 667→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2156ee4f-b671-434a-a65c-ee01fe1cfc67","timestamp":"2026-03-04T10:14:51.364Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"f31ac365-0bbb-45e0-a4ce-cb8d703180f2","timestamp":"2026-03-04T10:14:51.546Z"}
{"parentUuid":"f31ac365-0bbb-45e0-a4ce-cb8d703180f2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-04T10:14:51.554Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019xm2AUEAGiTZ6fcZq1DeGv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPeAGrXizuRiRa68bbu98i","name":"Read","input":{"file_path":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":228,"cache_read_input_tokens":14654,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":228},"output_tokens":24,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYhs6GPehbuqSUJZ9FYNB","uuid":"ee105c2a-67bf-46d3-bd6d-09426d3c3f1f"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"b2c8d20a-5393-48cf-bf88-748319606a17","timestamp":"2026-03-04T10:14:51.554Z"}
{"parentUuid":"b2c8d20a-5393-48cf-bf88-748319606a17","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BPeAGrXizuRiRa68bbu98i","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:\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 {\n 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{})\n 230→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n 231→\t}\n 232→\tfor _, done := range dones {\n 233→\t\t<-done\n 234→\t}\n 235→}\n 236→\n 237→// RotateWALFiles sends rotation requests for the given host directories\n 238→// and blocks until all rotations complete.\n 239→func RotateWALFilesAfterShutdown(hostDirs []string) {\n 240→\tfor _, dir := range hostDirs {\n 241→\t\twalPath := path.Join(dir, \"current.wal\")\n 242→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 243→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 244→\t\t}\n 245→\t}\n 246→}\n 247→\n 248→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n 249→func buildWALPayload(msg *WALMessage) []byte {\n 250→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n 251→\tfor _, s := range msg.Selector {\n 252→\t\tsize += 1 + len(s)\n 253→\t}\n 254→\n 255→\tbuf := make([]byte, 0, size)\n 256→\n 257→\t// Timestamp (8 bytes, little-endian int64)\n 258→\tvar ts [8]byte\n 259→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n 260→\tbuf = append(buf, ts[:]...)\n 261→\n 262→\t// Metric name (2-byte length prefix + bytes)\n 263→\tvar mLen [2]byte\n 264→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n 265→\tbuf = append(buf, mLen[:]...)\n 266→\tbuf = append(buf, msg.MetricName...)\n 267→\n 268→\t// Selector count (1 byte)\n 269→\tbuf = append(buf, byte(len(msg.Selector)))\n 270→\n 271→\t// Selectors (1-byte length prefix + bytes each)\n 272→\tfor _, sel := range msg.Selector {\n 273→\t\tbuf = append(buf, byte(len(sel)))\n 274→\t\tbuf = append(buf, sel...)\n 275→\t}\n 276→\n 277→\t// Value (4 bytes, float32 bit representation)\n 278→\tvar val [4]byte\n 279→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n 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}\n 340→\n 341→\tvar storedCRC uint32\n 342→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n 343→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n 344→\t}\n 345→\n 346→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n 347→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n 348→\t}\n 349→\n 350→\treturn parseWALPayload(payload)\n 351→}\n 352→\n 353→// parseWALPayload decodes a binary payload into a WALMessage.\n 354→func parseWALPayload(payload []byte) (*WALMessage, error) {\n 355→\tif len(payload) < 8+2+1+4 {\n 356→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n 357→\t}\n 358→\n 359→\toffset := 0\n 360→\n 361→\t// Timestamp (8 bytes)\n 362→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n 363→\toffset += 8\n 364→\n 365→\t// Metric name (2-byte length + bytes)\n 366→\tif offset+2 > len(payload) {\n 367→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n 368→\t}\n 369→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n 370→\toffset += 2\n 371→\n 372→\tif offset+mLen > len(payload) {\n 373→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n 374→\t}\n 375→\tmetricName := string(payload[offset : offset+mLen])\n 376→\toffset += mLen\n 377→\n 378→\t// Selector count (1 byte)\n 379→\tif offset >= len(payload) {\n 380→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n 381→\t}\n 382→\tselCount := int(payload[offset])\n 383→\toffset++\n 384→\n 385→\tselectors := make([]string, selCount)\n 386→\tfor i := range selCount {\n 387→\t\tif offset >= len(payload) {\n 388→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n 389→\t\t}\n 390→\t\tsLen := int(payload[offset])\n 391→\t\toffset++\n 392→\n 393→\t\tif offset+sLen > len(payload) {\n 394→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n 395→\t\t}\n 396→\t\tselectors[i] = string(payload[offset : offset+sLen])\n 397→\t\toffset += sLen\n 398→\t}\n 399→\n 400→\t// Value (4 bytes, float32 bits)\n 401→\tif offset+4 > len(payload) {\n 402→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n 403→\t}\n 404→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n 405→\tvalue := schema.Float(math.Float32frombits(bits))\n 406→\n 407→\treturn &WALMessage{\n 408→\t\tMetricName: metricName,\n 409→\t\tTimestamp: ts,\n 410→\t\tSelector: selectors,\n 411→\t\tValue: value,\n 412→\t}, nil\n 413→}\n 414→\n 415→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n 416→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n 417→// (expected on crash). Records older than 'from' are skipped.\n 418→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n 419→\tbr := bufio.NewReader(f)\n 420→\n 421→\t// Verify file header magic.\n 422→\tvar fileMagic uint32\n 423→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n 424→\t\tif err == io.EOF {\n 425→\t\t\treturn nil // Empty file, no data\n 426→\t\t}\n 427→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n 428→\t}\n 429→\n 430→\tif fileMagic != walFileMagic {\n 431→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n 432→\t}\n 433→\n 434→\t// Cache level lookups to avoid repeated tree traversal.\n 435→\tlvlCache := make(map[string]*Level)\n 436→\n 437→\tfor {\n 438→\t\tmsg, err := readWALRecord(br)\n 439→\t\tif err != nil {\n 440→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n 441→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n 442→\t\t\tbreak\n 443→\t\t}\n 444→\t\tif msg == nil {\n 445→\t\t\tbreak // Clean EOF\n 446→\t\t}\n 447→\n 448→\t\tif msg.Timestamp < from {\n 449→\t\t\tcontinue // Older than retention window\n 450→\t\t}\n 451→\n 452→\t\tminfo, ok := m.Metrics[msg.MetricName]\n 453→\t\tif !ok {\n 454→\t\t\tcontinue // Unknown metric (config may have changed)\n 455→\t\t}\n 456→\n 457→\t\t// Cache key is the null-separated selector path.\n 458→\t\tcacheKey := joinSelector(msg.Selector)\n 459→\t\tlvl, ok := lvlCache[cacheKey]\n 460→\t\tif !ok {\n 461→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n 462→\t\t\tlvlCache[cacheKey] = lvl\n 463→\t\t}\n 464→\n 465→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n 466→\t\t// global level lookup (we already have the right level).\n 467→\t\tlvl.lock.Lock()\n 468→\t\tb := lvl.metrics[minfo.offset]\n 469→\t\tif b == nil {\n 470→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n 471→\t\t\tlvl.metrics[minfo.offset] = b\n 472→\t\t}\n 473→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n 474→\t\tif writeErr == nil && b != nb {\n 475→\t\t\tlvl.metrics[minfo.offset] = nb\n 476→\t\t}\n 477→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n 478→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n 479→\t\tlvl.lock.Unlock()\n 480→\t}\n 481→\n 482→\treturn nil\n 483→}\n 484→\n 485→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n 486→func joinSelector(sel []string) string {\n 487→\tif len(sel) == 0 {\n 488→\t\treturn \"\"\n 489→\t}\n 490→\tvar result strings.Builder\n 491→\tresult.WriteString(sel[0])\n 492→\tfor i := 1; i < len(sel); i++ {\n 493→\t\tresult.WriteString(\"\\x00\" + sel[i])\n 494→\t}\n 495→\treturn result.String()\n 496→}\n 497→\n 498→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n 499→// Returns the number of files written, the list of host directories that were\n 500→// successfully checkpointed (for WAL rotation), and any errors.\n 501→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n 502→\t// Collect all cluster/host pairs.\n 503→\tm.root.lock.RLock()\n 504→\ttotalHosts := 0\n 505→\tfor _, l1 := range m.root.children {\n 506→\t\tl1.lock.RLock()\n 507→\t\ttotalHosts += len(l1.children)\n 508→\t\tl1.lock.RUnlock()\n 509→\t}\n 510→\tm.root.lock.RUnlock()\n 511→\n 512→\tlevels := make([]*Level, 0, totalHosts)\n 513→\tselectors := make([][]string, 0, totalHosts)\n 514→\n 515→\tm.root.lock.RLock()\n 516→\tfor sel1, l1 := range m.root.children {\n 517→\t\tl1.lock.RLock()\n 518→\t\tfor sel2, l2 := range l1.children {\n 519→\t\t\tlevels = append(levels, l2)\n 520→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 521→\t\t}\n 522→\t\tl1.lock.RUnlock()\n 523→\t}\n 524→\tm.root.lock.RUnlock()\n 525→\n 526→\ttype workItem struct {\n 527→\t\tlevel *Level\n 528→\t\thostDir string\n 529→\t\tselector []string\n 530→\t}\n 531→\n 532→\tn, errs := int32(0), int32(0)\n 533→\tvar successDirs []string\n 534→\tvar successMu sync.Mutex\n 535→\n 536→\tvar wg sync.WaitGroup\n 537→\twg.Add(Keys.NumWorkers)\n 538→\twork := make(chan workItem, Keys.NumWorkers*2)\n 539→\n 540→\tfor range Keys.NumWorkers {\n 541→\t\tgo func() {\n 542→\t\t\tdefer wg.Done()\n 543→\t\t\tfor wi := range work {\n 544→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n 545→\t\t\t\tif err != nil {\n 546→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 547→\t\t\t\t\t\tcontinue\n 548→\t\t\t\t\t}\n 549→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n 550→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 551→\t\t\t\t} else {\n 552→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 553→\t\t\t\t\tsuccessMu.Lock()\n 554→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n 555→\t\t\t\t\tsuccessMu.Unlock()\n 556→\t\t\t\t}\n 557→\t\t\t}\n 558→\t\t}()\n 559→\t}\n 560→\n 561→\tfor i := range levels {\n 562→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n 563→\t\twork <- workItem{\n 564→\t\t\tlevel: levels[i],\n 565→\t\t\thostDir: hostDir,\n 566→\t\t\tselector: selectors[i],\n 567→\t\t}\n 568→\t}\n 569→\tclose(work)\n 570→\twg.Wait()\n 571→\n 572→\tif errs > 0 {\n 573→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n 574→\t}\n 575→\treturn int(n), successDirs, nil\n 576→}\n 577→\n 578→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n 579→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n 580→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n 581→\tcf, err := l.toCheckpointFile(from, to, m)\n 582→\tif err != nil {\n 583→\t\treturn err\n 584→\t}\n 585→\tif cf == nil {\n 586→\t\treturn ErrNoNewArchiveData\n 587→\t}\n 588→\n 589→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n 590→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n 591→\t}\n 592→\n 593→\t// Write to a temp file first, then rename (atomic on POSIX).\n 594→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n 595→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n 596→\n 597→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 598→\tif err != nil {\n 599→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n 600→\t}\n 601→\n 602→\tbw := bufio.NewWriter(f)\n 603→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n 604→\t\tf.Close()\n 605→\t\tos.Remove(tmpPath)\n 606→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n 607→\t}\n 608→\tif err := bw.Flush(); err != nil {\n 609→\t\tf.Close()\n 610→\t\tos.Remove(tmpPath)\n 611→\t\treturn err\n 612→\t}\n 613→\tf.Close()\n 614→\n 615→\treturn os.Rename(tmpPath, finalPath)\n 616→}\n 617→\n 618→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n 619→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n 620→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n 621→\t\treturn err\n 622→\t}\n 623→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n 624→\t\treturn err\n 625→\t}\n 626→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n 627→\t\treturn err\n 628→\t}\n 629→\treturn writeBinaryLevel(w, cf)\n 630→}\n 631→\n 632→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n 633→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n 634→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n 635→\t\treturn err\n 636→\t}\n 637→\n 638→\tfor name, metric := range cf.Metrics {\n 639→\t\tif err := writeString16(w, name); err != nil {\n 640→\t\t\treturn err\n 641→\t\t}\n 642→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n 643→\t\t\treturn err\n 644→\t\t}\n 645→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n 646→\t\t\treturn err\n 647→\t\t}\n 648→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n 649→\t\t\treturn err\n 650→\t\t}\n 651→\t\tfor _, v := range metric.Data {\n 652→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n 653→\t\t\t\treturn err\n 654→\t\t\t}\n 655→\t\t}\n 656→\t}\n 657→\n 658→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n 659→\t\treturn err\n 660→\t}\n 661→\n 662→\tfor name, child := range cf.Children {\n 663→\t\tif err := writeString16(w, name); err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\t\tif err := writeBinaryLevel(w, child); err != nil {\n 667→\t\t\treturn err\n 668→\t\t}\n 669→\t}\n 670→\n 671→\treturn nil\n 672→}\n 673→\n 674→// writeString16 writes a 2-byte length-prefixed string to w.\n 675→func writeString16(w io.Writer, s string) error {\n 676→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n 677→\t\treturn err\n 678→\t}\n 679→\t_, err := io.WriteString(w, s)\n 680→\treturn err\n 681→}\n 682→\n 683→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n 684→// The retention check (from) is applied to the file's 'to' timestamp.\n 685→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n 686→\tbr := bufio.NewReader(f)\n 687→\n 688→\tvar magic uint32\n 689→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 690→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n 691→\t}\n 692→\tif magic != snapFileMagic {\n 693→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n 694→\t}\n 695→\n 696→\tvar fileFrom, fileTo int64\n 697→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 698→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n 699→\t}\n 700→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 701→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n 702→\t}\n 703→\n 704→\tif fileTo != 0 && fileTo < from {\n 705→\t\treturn nil // File is older than retention window, skip it\n 706→\t}\n 707→\n 708→\tcf, err := readBinaryLevel(br)\n 709→\tif err != nil {\n 710→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n 711→\t}\n 712→\tcf.From = fileFrom\n 713→\tcf.To = fileTo\n 714→\n 715→\treturn l.loadFile(cf, m)\n 716→}\n 717→\n 718→// readBinaryLevel recursively reads a level from the binary snapshot format.\n 719→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n 720→\tcf := &CheckpointFile{\n 721→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 722→\t\tChildren: make(map[string]*CheckpointFile),\n 723→\t}\n 724→\n 725→\tvar numMetrics uint32\n 726→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n 727→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n 728→\t}\n 729→\n 730→\tfor range numMetrics {\n 731→\t\tname, err := readString16(r)\n 732→\t\tif err != nil {\n 733→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n 734→\t\t}\n 735→\n 736→\t\tvar freq, start int64\n 737→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n 738→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n 739→\t\t}\n 740→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n 741→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n 742→\t\t}\n 743→\n 744→\t\tvar numValues uint32\n 745→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n 746→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n 747→\t\t}\n 748→\n 749→\t\tdata := make([]schema.Float, numValues)\n 750→\t\tfor i := range numValues {\n 751→\t\t\tvar bits uint32\n 752→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n 753→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n 754→\t\t\t}\n 755→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n 756→\t\t}\n 757→\n 758→\t\tcf.Metrics[name] = &CheckpointMetrics{\n 759→\t\t\tFrequency: freq,\n 760→\t\t\tStart: start,\n 761→\t\t\tData: data,\n 762→\t\t}\n 763→\t}\n 764→\n 765→\tvar numChildren uint32\n 766→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n 767→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n 768→\t}\n 769→\n 770→\tfor range numChildren {\n 771→\t\tchildName, err := readString16(r)\n 772→\t\tif err != nil {\n 773→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n 774→\t\t}\n 775→\n 776→\t\tchild, err := readBinaryLevel(r)\n 777→\t\tif err != nil {\n 778→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n 779→\t\t}\n 780→\t\tcf.Children[childName] = child\n 781→\t}\n 782→\n 783→\treturn cf, nil\n 784→}\n 785→\n 786→// readString16 reads a 2-byte length-prefixed string from r.\n 787→func readString16(r io.Reader) (string, error) {\n 788→\tvar sLen uint16\n 789→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n 790→\t\treturn \"\", err\n 791→\t}\n 792→\tbuf := make([]byte, sLen)\n 793→\tif _, err := io.ReadFull(r, buf); err != nil {\n 794→\t\treturn \"\", err\n 795→\t}\n 796→\treturn string(buf), nil\n 797→}\n 798→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8f4c2cf3-7dd5-44c1-b247-f5987ee6a561","timestamp":"2026-03-04T10:14:51.558Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"76a6ac40-4341-4d3d-a0f3-0be330e6d64f","timestamp":"2026-03-04T10:14:51.967Z"}
{"parentUuid":"76a6ac40-4341-4d3d-a0f3-0be330e6d64f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-04T10:14:51.975Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019xm2AUEAGiTZ6fcZq1DeGv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J9kp2VmRPPPfofoxs1Gs7v","name":"Read","input":{"file_path":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":228,"cache_read_input_tokens":14654,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":228},"output_tokens":24,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYhs6GPehbuqSUJZ9FYNB","uuid":"09b8084e-def4-44d5-bd29-4bdcbf131dac"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"1e2abf51-14e4-4e28-a373-2d97eefc1910","timestamp":"2026-03-04T10:14:51.975Z"}
{"parentUuid":"1e2abf51-14e4-4e28-a373-2d97eefc1910","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J9kp2VmRPPPfofoxs1Gs7v","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\"bufio\"\n 10→\t\"encoding/binary\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\tpq \"github.com/parquet-go/parquet-go\"\n 18→)\n 19→\n 20→// ParquetMetricRow is the long-format schema for archived metric data.\n 21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n 22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n 23→type ParquetMetricRow struct {\n 24→\tCluster string `parquet:\"cluster\"`\n 25→\tHostname string `parquet:\"hostname\"`\n 26→\tMetric string `parquet:\"metric\"`\n 27→\tScope string `parquet:\"scope\"`\n 28→\tScopeID string `parquet:\"scope_id\"`\n 29→\tTimestamp int64 `parquet:\"timestamp\"`\n 30→\tFrequency int64 `parquet:\"frequency\"`\n 31→\tValue float32 `parquet:\"value\"`\n 32→}\n 33→\n 34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n 35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n 36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n 37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n 38→\tfor metricName, cm := range cf.Metrics {\n 39→\t\tts := cm.Start\n 40→\t\tfor _, v := range cm.Data {\n 41→\t\t\tif !v.IsNaN() {\n 42→\t\t\t\trows = append(rows, ParquetMetricRow{\n 43→\t\t\t\t\tCluster: cluster,\n 44→\t\t\t\t\tHostname: hostname,\n 45→\t\t\t\t\tMetric: metricName,\n 46→\t\t\t\t\tScope: scope,\n 47→\t\t\t\t\tScopeID: scopeID,\n 48→\t\t\t\t\tTimestamp: ts,\n 49→\t\t\t\t\tFrequency: cm.Frequency,\n 50→\t\t\t\t\tValue: float32(v),\n 51→\t\t\t\t})\n 52→\t\t\t}\n 53→\t\t\tts += cm.Frequency\n 54→\t\t}\n 55→\t}\n 56→\n 57→\tfor childName, childCf := range cf.Children {\n 58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n 59→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n 60→\t}\n 61→\n 62→\treturn rows\n 63→}\n 64→\n 65→// parseScopeFromName infers scope and scope_id from a child level name.\n 66→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n 67→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n 68→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n 69→func parseScopeFromName(name string) (string, string) {\n 70→\tprefixes := []struct {\n 71→\t\tprefix string\n 72→\t\tscope string\n 73→\t}{\n 74→\t\t{\"socket\", \"socket\"},\n 75→\t\t{\"memoryDomain\", \"memoryDomain\"},\n 76→\t\t{\"core\", \"core\"},\n 77→\t\t{\"hwthread\", \"hwthread\"},\n 78→\t\t{\"cpu\", \"hwthread\"},\n 79→\t\t{\"accelerator\", \"accelerator\"},\n 80→\t}\n 81→\n 82→\tfor _, p := range prefixes {\n 83→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n 84→\t\t\tid := name[len(p.prefix):]\n 85→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n 86→\t\t\t\treturn p.scope, id\n 87→\t\t\t}\n 88→\t\t}\n 89→\t}\n 90→\n 91→\treturn name, \"\"\n 92→}\n 93→\n 94→// writeParquetArchive writes rows to a Parquet file with Zstd compression.\n 95→func writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n 96→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n 97→\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n 98→\t}\n 99→\n 100→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 101→\tif err != nil {\n 102→\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n 103→\t}\n 104→\tdefer f.Close()\n 105→\n 106→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n 107→\n 108→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n 109→\t\tpq.Compression(&pq.Zstd),\n 110→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 111→\t\t\tpq.Ascending(\"cluster\"),\n 112→\t\t\tpq.Ascending(\"hostname\"),\n 113→\t\t\tpq.Ascending(\"metric\"),\n 114→\t\t\tpq.Ascending(\"timestamp\"),\n 115→\t\t)),\n 116→\t)\n 117→\n 118→\tif _, err := writer.Write(rows); err != nil {\n 119→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n 120→\t}\n 121→\n 122→\tif err := writer.Close(); err != nil {\n 123→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n 124→\t}\n 125→\n 126→\tif err := bw.Flush(); err != nil {\n 127→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n 128→\t}\n 129→\n 130→\treturn nil\n 131→}\n 132→\n 133→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n 134→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n 135→// before converting it to Parquet format.\n 136→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n 137→\tf, err := os.Open(filename)\n 138→\tif err != nil {\n 139→\t\treturn nil, err\n 140→\t}\n 141→\tdefer f.Close()\n 142→\n 143→\text := filepath.Ext(filename)\n 144→\tswitch ext {\n 145→\tcase \".json\":\n 146→\t\tcf := &CheckpointFile{}\n 147→\t\tbr := bufio.NewReader(f)\n 148→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 149→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n 150→\t\t}\n 151→\t\treturn cf, nil\n 152→\n 153→\tcase \".bin\":\n 154→\t\tbr := bufio.NewReader(f)\n 155→\t\tvar magic uint32\n 156→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 157→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n 158→\t\t}\n 159→\t\tif magic != snapFileMagic {\n 160→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n 161→\t\t}\n 162→\t\tvar fileFrom, fileTo int64\n 163→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 164→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n 165→\t\t}\n 166→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 167→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n 168→\t\t}\n 169→\t\tcf, err := readBinaryLevel(br)\n 170→\t\tif err != nil {\n 171→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n 172→\t\t}\n 173→\t\tcf.From = fileFrom\n 174→\t\tcf.To = fileTo\n 175→\t\treturn cf, nil\n 176→\n 177→\tdefault:\n 178→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n 179→\t}\n 180→}\n 181→\n 182→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n 183→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n 184→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n 185→\tentries, err := os.ReadDir(dir)\n 186→\tif err != nil {\n 187→\t\treturn nil, nil, err\n 188→\t}\n 189→\n 190→\tfiles, err := findFiles(entries, from, false)\n 191→\tif err != nil {\n 192→\t\treturn nil, nil, err\n 193→\t}\n 194→\n 195→\tif len(files) == 0 {\n 196→\t\treturn nil, nil, nil\n 197→\t}\n 198→\n 199→\tvar rows []ParquetMetricRow\n 200→\n 201→\tfor _, checkpoint := range files {\n 202→\t\tfilename := filepath.Join(dir, checkpoint)\n 203→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n 204→\t\tif err != nil {\n 205→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n 206→\t\t\tcontinue\n 207→\t\t}\n 208→\n 209→\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n 210→\t}\n 211→\n 212→\treturn rows, files, nil\n 213→}\n 214→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"7c649843-b4c1-477d-b95f-0a57a95d147c","timestamp":"2026-03-04T10:14:51.979Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"4f86324b-fab2-4106-b506-4faca8a03238","timestamp":"2026-03-04T10:14:52.178Z"}
{"parentUuid":"4f86324b-fab2-4106-b506-4faca8a03238","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-04T10:14:52.188Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_019xm2AUEAGiTZ6fcZq1DeGv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RTH55YiEXMPfdPCZ8gRMUJ","name":"Read","input":{"file_path":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/archive.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":228,"cache_read_input_tokens":14654,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":228},"output_tokens":24,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYhs6GPehbuqSUJZ9FYNB","uuid":"3b4e25e1-e51b-48fd-87b9-15d595e1c888"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"3ad03d8c-1284-4256-afba-ee758a73ef7e","timestamp":"2026-03-04T10:14:52.188Z"}
{"parentUuid":"3ad03d8c-1284-4256-afba-ee758a73ef7e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RTH55YiEXMPfdPCZ8gRMUJ","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\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→\n 21→// Worker for either Archiving or Deleting files\n 22→\n 23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n 24→\tif Keys.Cleanup.Mode == \"archive\" {\n 25→\t\t// Run as Archiver\n 26→\t\tcleanUpWorker(wg, ctx,\n 27→\t\t\tKeys.Cleanup.Interval,\n 28→\t\t\t\"archiving\",\n 29→\t\t\tKeys.Cleanup.RootDir,\n 30→\t\t\tfalse,\n 31→\t\t)\n 32→\t} else {\n 33→\t\tif Keys.Cleanup.Interval == \"\" {\n 34→\t\t\tKeys.Cleanup.Interval = Keys.RetentionInMemory\n 35→\t\t}\n 36→\n 37→\t\t// Run as Deleter\n 38→\t\tcleanUpWorker(wg, ctx,\n 39→\t\t\tKeys.Cleanup.Interval,\n 40→\t\t\t\"deleting\",\n 41→\t\t\t\"\",\n 42→\t\t\ttrue,\n 43→\t\t)\n 44→\t}\n 45→}\n 46→\n 47→// cleanUpWorker takes simple values to configure what it does\n 48→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n 49→\twg.Go(func() {\n 50→\n 51→\t\td, err := time.ParseDuration(interval)\n 52→\t\tif err != nil {\n 53→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n 54→\t\t}\n 55→\t\tif d <= 0 {\n 56→\t\t\treturn\n 57→\t\t}\n 58→\n 59→\t\tticker := time.NewTicker(d)\n 60→\t\tdefer ticker.Stop()\n 61→\n 62→\t\tfor {\n 63→\t\t\tselect {\n 64→\t\t\tcase <-ctx.Done():\n 65→\t\t\t\treturn\n 66→\t\t\tcase <-ticker.C:\n 67→\t\t\t\tt := time.Now().Add(-d)\n 68→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n 69→\n 70→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n 71→\n 72→\t\t\t\tif err != nil {\n 73→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n 74→\t\t\t\t} else {\n 75→\t\t\t\t\tif delete {\n 76→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n 77→\t\t\t\t\t} else {\n 78→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n 79→\t\t\t\t\t}\n 80→\t\t\t\t}\n 81→\t\t\t}\n 82→\t\t}\n 83→\t})\n 84→}\n 85→\n 86→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n 87→\n 88→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n 89→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n 90→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n 91→\tif deleteInstead {\n 92→\t\treturn deleteCheckpoints(checkpointsDir, from)\n 93→\t}\n 94→\n 95→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n 96→}\n 97→\n 98→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n 99→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n 100→\tentries1, err := os.ReadDir(checkpointsDir)\n 101→\tif err != nil {\n 102→\t\treturn 0, err\n 103→\t}\n 104→\n 105→\ttype workItem struct {\n 106→\t\tdir string\n 107→\t\tcluster, host string\n 108→\t}\n 109→\n 110→\tvar wg sync.WaitGroup\n 111→\tn, errs := int32(0), int32(0)\n 112→\twork := make(chan workItem, Keys.NumWorkers)\n 113→\n 114→\twg.Add(Keys.NumWorkers)\n 115→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 116→\t\tgo func() {\n 117→\t\t\tdefer wg.Done()\n 118→\t\t\tfor item := range work {\n 119→\t\t\t\tentries, err := os.ReadDir(item.dir)\n 120→\t\t\t\tif err != nil {\n 121→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n 122→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 123→\t\t\t\t\tcontinue\n 124→\t\t\t\t}\n 125→\n 126→\t\t\t\tfiles, err := findFiles(entries, from, false)\n 127→\t\t\t\tif err != nil {\n 128→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n 129→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 130→\t\t\t\t\tcontinue\n 131→\t\t\t\t}\n 132→\n 133→\t\t\t\tfor _, checkpoint := range files {\n 134→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n 135→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n 136→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 137→\t\t\t\t\t} else {\n 138→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n 139→\t\t\t\t\t}\n 140→\t\t\t\t}\n 141→\t\t\t}\n 142→\t\t}()\n 143→\t}\n 144→\n 145→\tfor _, de1 := range entries1 {\n 146→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n 147→\t\tif e != nil {\n 148→\t\t\terr = e\n 149→\t\t\tcontinue\n 150→\t\t}\n 151→\n 152→\t\tfor _, de2 := range entries2 {\n 153→\t\t\twork <- workItem{\n 154→\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n 155→\t\t\t\tcluster: de1.Name(),\n 156→\t\t\t\thost: de2.Name(),\n 157→\t\t\t}\n 158→\t\t}\n 159→\t}\n 160→\n 161→\tclose(work)\n 162→\twg.Wait()\n 163→\n 164→\tif err != nil {\n 165→\t\treturn int(n), err\n 166→\t}\n 167→\tif errs > 0 {\n 168→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n 169→\t}\n 170→\treturn int(n), nil\n 171→}\n 172→\n 173→// archiveCheckpoints archives checkpoint files to Parquet format.\n 174→// Produces one Parquet file per cluster: <cleanupDir>/<cluster>/<timestamp>.parquet\n 175→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n 176→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n 177→\tif err != nil {\n 178→\t\treturn 0, err\n 179→\t}\n 180→\n 181→\ttotalFiles := 0\n 182→\n 183→\tfor _, clusterEntry := range clusterEntries {\n 184→\t\tif !clusterEntry.IsDir() {\n 185→\t\t\tcontinue\n 186→\t\t}\n 187→\n 188→\t\tcluster := clusterEntry.Name()\n 189→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n 190→\t\tif err != nil {\n 191→\t\t\treturn totalFiles, err\n 192→\t\t}\n 193→\n 194→\t\t// Collect rows from all hosts in this cluster using worker pool\n 195→\t\ttype hostResult struct {\n 196→\t\t\trows []ParquetMetricRow\n 197→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n 198→\t\t\tdir string // checkpoint directory for this host\n 199→\t\t}\n 200→\n 201→\t\tresults := make(chan hostResult, len(hostEntries))\n 202→\t\twork := make(chan struct {\n 203→\t\t\tdir, host string\n 204→\t\t}, Keys.NumWorkers)\n 205→\n 206→\t\tvar wg sync.WaitGroup\n 207→\t\terrs := int32(0)\n 208→\n 209→\t\twg.Add(Keys.NumWorkers)\n 210→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n 211→\t\t\tgo func() {\n 212→\t\t\t\tdefer wg.Done()\n 213→\t\t\t\tfor item := range work {\n 214→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n 215→\t\t\t\t\tif err != nil {\n 216→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n 217→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 218→\t\t\t\t\t\tcontinue\n 219→\t\t\t\t\t}\n 220→\t\t\t\t\tif len(rows) > 0 {\n 221→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n 222→\t\t\t\t\t}\n 223→\t\t\t\t}\n 224→\t\t\t}()\n 225→\t\t}\n 226→\n 227→\t\tgo func() {\n 228→\t\t\tfor _, hostEntry := range hostEntries {\n 229→\t\t\t\tif !hostEntry.IsDir() {\n 230→\t\t\t\t\tcontinue\n 231→\t\t\t\t}\n 232→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n 233→\t\t\t\twork <- struct {\n 234→\t\t\t\t\tdir, host string\n 235→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n 236→\t\t\t}\n 237→\t\t\tclose(work)\n 238→\t\t\twg.Wait()\n 239→\t\t\tclose(results)\n 240→\t\t}()\n 241→\n 242→\t\t// Collect all rows and file info\n 243→\t\tvar allRows []ParquetMetricRow\n 244→\t\tvar allResults []hostResult\n 245→\t\tfor r := range results {\n 246→\t\t\tallRows = append(allRows, r.rows...)\n 247→\t\t\tallResults = append(allResults, r)\n 248→\t\t}\n 249→\n 250→\t\tif errs > 0 {\n 251→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n 252→\t\t}\n 253→\n 254→\t\tif len(allRows) == 0 {\n 255→\t\t\tcontinue\n 256→\t\t}\n 257→\n 258→\t\t// Write one Parquet file per cluster\n 259→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n 260→\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n 261→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n 262→\t\t}\n 263→\n 264→\t\t// Delete archived checkpoint files\n 265→\t\tfor _, result := range allResults {\n 266→\t\t\tfor _, file := range result.files {\n 267→\t\t\t\tfilename := filepath.Join(result.dir, file)\n 268→\t\t\t\tif err := os.Remove(filename); err != nil {\n 269→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n 270→\t\t\t\t} else {\n 271→\t\t\t\t\ttotalFiles++\n 272→\t\t\t\t}\n 273→\t\t\t}\n 274→\t\t}\n 275→\n 276→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n 277→\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n 278→\t}\n 279→\n 280→\treturn totalFiles, nil\n 281→}\n 282→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"fe2b10a8-7035-4926-a097-f0a820679601","timestamp":"2026-03-04T10:14:52.195Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"2a2ee79f-ffad-4eaa-843b-62b9e7b7592e","timestamp":"2026-03-04T10:14:52.493Z"}
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{"parentUuid":"1173b7db-a540-4a5a-a0f2-54cf322300e0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NYSAuzCnqxP1UzqenqKUog","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\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\"\n 18→//\t│ ├─ Interval: How often to save (e.g., \"1h\")\n 19→//\t│ └─ RootDir: Checkpoint storage path\n 20→//\t├─ Cleanup: Long-term storage configuration\n 21→//\t│ ├─ Interval: How often to delete/archive\n 22→//\t│ ├─ RootDir: Archive storage path\n 23→//\t│ └─ Mode: \"delete\" or \"archive\"\n 24→//\t├─ Debug: Development/debugging options\n 25→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 26→//\n 27→// # Metric Configuration\n 28→//\n 29→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 30→// Metrics map, defining:\n 31→//\n 32→// - Frequency: Measurement interval in seconds\n 33→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 34→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 35→//\n 36→// # AggregationStrategy\n 37→//\n 38→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 39→//\n 40→// - NoAggregation: Do not combine (incompatible scopes)\n 41→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 42→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 43→package metricstore\n 44→\n 45→import (\n 46→\t\"fmt\"\n 47→\t\"time\"\n 48→\n 49→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 50→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 51→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 52→)\n 53→\n 54→const (\n 55→\tDefaultMaxWorkers = 10\n 56→\tDefaultBufferCapacity = 512\n 57→\tDefaultGCTriggerInterval = 100\n 58→\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n 59→)\n 60→\n 61→// Checkpoints configures periodic persistence of in-memory metric data.\n 62→//\n 63→// Fields:\n 64→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe)\n 65→// - Interval: Duration string (e.g., \"1h\", \"30m\") between checkpoint saves\n 66→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 67→type Checkpoints struct {\n 68→\tFileFormat string `json:\"file-format\"`\n 69→\tInterval string `json:\"interval\"`\n 70→\tRootDir string `json:\"directory\"`\n 71→}\n 72→\n 73→// Debug provides development and profiling options.\n 74→//\n 75→// Fields:\n 76→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 77→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 78→type Debug struct {\n 79→\tDumpToFile string `json:\"dump-to-file\"`\n 80→\tEnableGops bool `json:\"gops\"`\n 81→}\n 82→\n 83→// Archive configures long-term storage of old metric data.\n 84→//\n 85→// Data older than RetentionInMemory is archived to disk or deleted.\n 86→//\n 87→// Fields:\n 88→// - ArchiveInterval: Duration string (e.g., \"24h\") between archive operations\n 89→// - RootDir: Filesystem path for archived data (created if missing)\n 90→// - DeleteInstead: If true, delete old data instead of archiving (saves disk space)\n 91→type Cleanup struct {\n 92→\tInterval string `json:\"interval\"`\n 93→\tRootDir string `json:\"directory\"`\n 94→\tMode string `json:\"mode\"`\n 95→}\n 96→\n 97→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 98→//\n 99→// Each subscription receives metrics via NATS messaging, enabling real-time\n 100→// data collection from compute nodes.\n 101→//\n 102→// Fields:\n 103→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 104→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 105→type Subscriptions []struct {\n 106→\t// Channel name\n 107→\tSubscribeTo string `json:\"subscribe-to\"`\n 108→\n 109→\t// Allow lines without a cluster tag, use this as default, optional\n 110→\tClusterTag string `json:\"cluster-tag\"`\n 111→}\n 112→\n 113→// MetricStoreConfig defines the main configuration for the metricstore.\n 114→//\n 115→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 116→// persistence, archiving, and metric ingestion.\n 117→//\n 118→// Fields:\n 119→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 120→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 121→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 122→// - Checkpoints: Periodic persistence configuration\n 123→// - Debug: Development/profiling options (nil = disabled)\n 124→// - Archive: Long-term storage configuration (nil = disabled)\n 125→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 126→type MetricStoreConfig struct {\n 127→\t// Number of concurrent workers for checkpoint and archive operations.\n 128→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 129→\tNumWorkers int `json:\"num-workers\"`\n 130→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 131→\tMemoryCap int `json:\"memory-cap\"`\n 132→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 133→\tDebug *Debug `json:\"debug\"`\n 134→\tCleanup *Cleanup `json:\"cleanup\"`\n 135→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 136→}\n 137→\n 138→// Keys is the global metricstore configuration instance.\n 139→//\n 140→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 141→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 142→var Keys MetricStoreConfig = MetricStoreConfig{\n 143→\tCheckpoints: Checkpoints{\n 144→\t\tFileFormat: \"json\",\n 145→\t\tRootDir: \"./var/checkpoints\",\n 146→\t},\n 147→\tCleanup: &Cleanup{\n 148→\t\tMode: \"delete\",\n 149→\t},\n 150→}\n 151→\n 152→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 153→//\n 154→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 155→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 156→//\n 157→// Values:\n 158→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 159→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 160→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 161→type AggregationStrategy int\n 162→\n 163→const (\n 164→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 165→\tSumAggregation // Sum values (e.g., power, energy)\n 166→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 167→)\n 168→\n 169→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 170→//\n 171→// Used when loading metric configurations from JSON/YAML files.\n 172→//\n 173→// Parameters:\n 174→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 175→//\n 176→// Returns:\n 177→// - AggregationStrategy: Parsed value\n 178→// - error: Non-nil if str is unrecognized\n 179→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 180→\tswitch str {\n 181→\tcase \"\":\n 182→\t\treturn NoAggregation, nil\n 183→\tcase \"sum\":\n 184→\t\treturn SumAggregation, nil\n 185→\tcase \"avg\":\n 186→\t\treturn AvgAggregation, nil\n 187→\tdefault:\n 188→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 189→\t}\n 190→}\n 191→\n 192→// MetricConfig defines configuration for a single metric type.\n 193→//\n 194→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 195→//\n 196→// Fields:\n 197→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 198→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 199→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 200→type MetricConfig struct {\n 201→\t// Interval in seconds at which measurements are stored\n 202→\tFrequency int64\n 203→\n 204→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 205→\tAggregation AggregationStrategy\n 206→\n 207→\t// Private, used internally...\n 208→\toffset int\n 209→}\n 210→\n 211→func BuildMetricList() map[string]MetricConfig {\n 212→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 213→\n 214→\taddMetric := func(name string, metric MetricConfig) error {\n 215→\t\tif metrics == nil {\n 216→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 217→\t\t}\n 218→\n 219→\t\tif existingMetric, ok := metrics[name]; ok {\n 220→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 221→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 222→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 223→\t\t\t\t\tmetrics[name] = existingMetric\n 224→\t\t\t\t}\n 225→\t\t\t}\n 226→\t\t} else {\n 227→\t\t\tmetrics[name] = metric\n 228→\t\t}\n 229→\n 230→\t\treturn nil\n 231→\t}\n 232→\n 233→\t// Helper function to add metric configuration\n 234→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 235→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 236→\t\tif err != nil {\n 237→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 238→\t\t}\n 239→\n 240→\t\taddMetric(mc.Name, MetricConfig{\n 241→\t\t\tFrequency: int64(mc.Timestep),\n 242→\t\t\tAggregation: agg,\n 243→\t\t})\n 244→\t}\n 245→\tfor _, c := range archive.Clusters {\n 246→\t\tfor _, mc := range c.MetricConfig {\n 247→\t\t\taddMetricConfig(mc)\n 248→\t\t}\n 249→\n 250→\t\tfor _, sc := range c.SubClusters {\n 251→\t\t\tfor _, mc := range sc.MetricConfig {\n 252→\t\t\t\taddMetricConfig(mc)\n 253→\t\t\t}\n 254→\t\t}\n 255→\t}\n 256→\n 257→\treturn metrics\n 258→}\n 259→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"a7f036ff-d458-433e-935a-8539fb256cd4","timestamp":"2026-03-04T10:14:52.557Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"1de09de1-f967-457c-8a48-1152e83f485a","timestamp":"2026-03-04T10:14:52.558Z"}
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{"parentUuid":"85f2bfaf-e278-4ab6-a80c-eeae498f5563","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01186cYUxSr5pXFQuYhxpxyM","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\"os\"\n 11→\t\"path/filepath\"\n 12→\t\"testing\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→\tpq \"github.com/parquet-go/parquet-go\"\n 16→)\n 17→\n 18→func TestParseScopeFromName(t *testing.T) {\n 19→\ttests := []struct {\n 20→\t\tname string\n 21→\t\twantScope string\n 22→\t\twantID string\n 23→\t}{\n 24→\t\t{\"socket0\", \"socket\", \"0\"},\n 25→\t\t{\"socket12\", \"socket\", \"12\"},\n 26→\t\t{\"core0\", \"core\", \"0\"},\n 27→\t\t{\"core127\", \"core\", \"127\"},\n 28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n 29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n 30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n 31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n 32→\t\t{\"unknown\", \"unknown\", \"\"},\n 33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n 34→\t}\n 35→\n 36→\tfor _, tt := range tests {\n 37→\t\tt.Run(tt.name, func(t *testing.T) {\n 38→\t\t\tscope, id := parseScopeFromName(tt.name)\n 39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n 40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n 41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n 42→\t\t\t}\n 43→\t\t})\n 44→\t}\n 45→}\n 46→\n 47→func TestFlattenCheckpointFile(t *testing.T) {\n 48→\tcf := &CheckpointFile{\n 49→\t\tFrom: 1000,\n 50→\t\tTo: 1060,\n 51→\t\tMetrics: map[string]*CheckpointMetrics{\n 52→\t\t\t\"cpu_load\": {\n 53→\t\t\t\tFrequency: 60,\n 54→\t\t\t\tStart: 1000,\n 55→\t\t\t\tData: []schema.Float{0.5, 0.7, schema.NaN},\n 56→\t\t\t},\n 57→\t\t},\n 58→\t\tChildren: map[string]*CheckpointFile{\n 59→\t\t\t\"socket0\": {\n 60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n 61→\t\t\t\t\t\"mem_bw\": {\n 62→\t\t\t\t\t\tFrequency: 60,\n 63→\t\t\t\t\t\tStart: 1000,\n 64→\t\t\t\t\t\tData: []schema.Float{100.0, schema.NaN, 200.0},\n 65→\t\t\t\t\t},\n 66→\t\t\t\t},\n 67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n 68→\t\t\t},\n 69→\t\t},\n 70→\t}\n 71→\n 72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n 73→\n 74→\t// cpu_load: 2 non-NaN values at node scope\n 75→\t// mem_bw: 2 non-NaN values at socket0 scope\n 76→\tif len(rows) != 4 {\n 77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n 78→\t}\n 79→\n 80→\t// Verify a node-scope row\n 81→\tfound := false\n 82→\tfor _, r := range rows {\n 83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n 84→\t\t\tfound = true\n 85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n 86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n 87→\t\t\t}\n 88→\t\t}\n 89→\t}\n 90→\tif !found {\n 91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n 92→\t}\n 93→\n 94→\t// Verify a socket-scope row\n 95→\tfound = false\n 96→\tfor _, r := range rows {\n 97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n 98→\t\t\tfound = true\n 99→\t\t}\n 100→\t}\n 101→\tif !found {\n 102→\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n 103→\t}\n 104→}\n 105→\n 106→func TestParquetArchiveRoundtrip(t *testing.T) {\n 107→\ttmpDir := t.TempDir()\n 108→\n 109→\t// Create checkpoint files on disk (JSON format)\n 110→\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n 111→\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n 112→\t\tt.Fatal(err)\n 113→\t}\n 114→\n 115→\tcf := &CheckpointFile{\n 116→\t\tFrom: 1000,\n 117→\t\tTo: 1180,\n 118→\t\tMetrics: map[string]*CheckpointMetrics{\n 119→\t\t\t\"cpu_load\": {\n 120→\t\t\t\tFrequency: 60,\n 121→\t\t\t\tStart: 1000,\n 122→\t\t\t\tData: []schema.Float{0.5, 0.7, 0.9},\n 123→\t\t\t},\n 124→\t\t\t\"mem_used\": {\n 125→\t\t\t\tFrequency: 60,\n 126→\t\t\t\tStart: 1000,\n 127→\t\t\t\tData: []schema.Float{45.0, 46.0, 47.0},\n 128→\t\t\t},\n 129→\t\t},\n 130→\t\tChildren: map[string]*CheckpointFile{\n 131→\t\t\t\"socket0\": {\n 132→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n 133→\t\t\t\t\t\"mem_bw\": {\n 134→\t\t\t\t\t\tFrequency: 60,\n 135→\t\t\t\t\t\tStart: 1000,\n 136→\t\t\t\t\t\tData: []schema.Float{100.0, 110.0, 120.0},\n 137→\t\t\t\t\t},\n 138→\t\t\t\t},\n 139→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n 140→\t\t\t},\n 141→\t\t},\n 142→\t}\n 143→\n 144→\t// Write JSON checkpoint\n 145→\tcpFile := filepath.Join(cpDir, \"1000.json\")\n 146→\tdata, err := json.Marshal(cf)\n 147→\tif err != nil {\n 148→\t\tt.Fatal(err)\n 149→\t}\n 150→\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n 151→\t\tt.Fatal(err)\n 152→\t}\n 153→\n 154→\t// Archive to Parquet\n 155→\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n 156→\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n 157→\tif err != nil {\n 158→\t\tt.Fatal(err)\n 159→\t}\n 160→\tif len(files) != 1 || files[0] != \"1000.json\" {\n 161→\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n 162→\t}\n 163→\n 164→\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n 165→\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n 166→\t\tt.Fatal(err)\n 167→\t}\n 168→\n 169→\t// Read back and verify\n 170→\tf, err := os.Open(parquetFile)\n 171→\tif err != nil {\n 172→\t\tt.Fatal(err)\n 173→\t}\n 174→\tdefer f.Close()\n 175→\n 176→\tstat, _ := f.Stat()\n 177→\tpf, err := pq.OpenFile(f, stat.Size())\n 178→\tif err != nil {\n 179→\t\tt.Fatal(err)\n 180→\t}\n 181→\n 182→\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n 183→\treadRows := make([]ParquetMetricRow, 100)\n 184→\tn, err := reader.Read(readRows)\n 185→\tif err != nil && n == 0 {\n 186→\t\tt.Fatal(err)\n 187→\t}\n 188→\treadRows = readRows[:n]\n 189→\treader.Close()\n 190→\n 191→\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n 192→\tif n != 9 {\n 193→\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n 194→\t}\n 195→\n 196→\t// Verify cluster and hostname are set correctly\n 197→\tfor _, r := range readRows {\n 198→\t\tif r.Cluster != \"testcluster\" {\n 199→\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n 200→\t\t}\n 201→\t\tif r.Hostname != \"node001\" {\n 202→\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n 203→\t\t}\n 204→\t}\n 205→\n 206→\t// Verify parquet file is smaller than JSON (compression working)\n 207→\tif stat.Size() == 0 {\n 208→\t\tt.Error(\"parquet file is empty\")\n 209→\t}\n 210→\n 211→\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n 212→}\n 213→\n 214→func TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n 215→\ttmpDir := t.TempDir()\n 216→\n 217→\tcf := &CheckpointFile{\n 218→\t\tFrom: 1000,\n 219→\t\tTo: 1060,\n 220→\t\tMetrics: map[string]*CheckpointMetrics{\n 221→\t\t\t\"test_metric\": {\n 222→\t\t\t\tFrequency: 60,\n 223→\t\t\t\tStart: 1000,\n 224→\t\t\t\tData: []schema.Float{1.0, 2.0, 3.0},\n 225→\t\t\t},\n 226→\t\t},\n 227→\t\tChildren: make(map[string]*CheckpointFile),\n 228→\t}\n 229→\n 230→\tfilename := filepath.Join(tmpDir, \"1000.json\")\n 231→\tdata, err := json.Marshal(cf)\n 232→\tif err != nil {\n 233→\t\tt.Fatal(err)\n 234→\t}\n 235→\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n 236→\t\tt.Fatal(err)\n 237→\t}\n 238→\n 239→\tloaded, err := loadCheckpointFileFromDisk(filename)\n 240→\tif err != nil {\n 241→\t\tt.Fatal(err)\n 242→\t}\n 243→\n 244→\tif loaded.From != 1000 || loaded.To != 1060 {\n 245→\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n 246→\t}\n 247→\n 248→\tm, ok := loaded.Metrics[\"test_metric\"]\n 249→\tif !ok {\n 250→\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n 251→\t}\n 252→\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n 253→\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n 254→\t}\n 255→}\n 256→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2eba2c8b-d29a-4979-924a-7c5f96fb11e0","timestamp":"2026-03-04T10:14:55.072Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"1dbc9c69-6769-4294-a3ae-990a6d007025","timestamp":"2026-03-04T10:14:55.289Z"}
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{"parentUuid":"c27bf669-c432-4f63-880a-0feb02caa585","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CwRkAjLgjWYDTE83KNev3D","type":"tool_result","content":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:36://\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:47://\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:77:const (\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:78:\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:79:\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:80:\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:93:type WALMessage struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:104:type walRotateReq struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:110:type walFileState struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:151:\t\t\t// Write file header magic if file is new (empty).\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:248:// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:286:// Format: [4B magic][4B payload_len][payload][4B CRC32]\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:293:\tvar magic [4]byte\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:294:\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:295:\trecord = append(record, magic[:]...)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:315:\tvar magic uint32\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:316:\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:320:\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:323:\tif magic != walRecordMagic {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:324:\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:421:\t// Verify file header magic.\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:431:\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:526:\ttype workItem struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:688:\tvar magic uint32\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:689:\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:690:\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:692:\tif magic != snapFileMagic {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go:693:\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/configSchema.go:8:const configSchema = `{\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/configSchema.go:55: \"mode\": { \"const\": \"archive\" }\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/lineprotocol.go:129:type decodeState struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/level.go:10:// The Level type forms a tree structure where each node represents a level in the\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/level.go:62:type Level struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/metricstore.go:42:type GlobalState struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/metricstore.go:82:type Metric struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/metricstore.go:98:type MemoryStore struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/metricstore.go:437:\t\t\t\t\tconst maxIterations = 100\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/buffer.go:55:const BufferCap int = DefaultBufferCapacity\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/buffer.go:59:const maxPoolSize = 4096\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/buffer.go:65:type PersistentBufferPool struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/buffer.go:175:type buffer struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/archive.go:105:\ttype workItem struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/archive.go:195:\t\ttype hostResult struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:54:const (\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:67:type Checkpoints struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:78:type Debug struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:91:type Cleanup struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:105:type Subscriptions []struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:126:type MetricStoreConfig struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:163:const (\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go:200:type MetricConfig struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/checkpoint.go:58:const (\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/checkpoint.go:66:type CheckpointMetrics struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/checkpoint.go:74:type CheckpointFile struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/checkpoint.go:156:// This method manually constructs JSON to avoid allocations and interface conversions.\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/checkpoint.go:210:\ttype workItem struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/healthcheck.go:18:type HealthCheckResponse struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/healthcheck.go:25:type HealthCheckResult struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/healthcheck.go:33:const MaxMissingDataPoints int64 = 5\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/healthcheck.go:136:type HealthCheckReq struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:23:type ParquetMetricRow struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:155:\t\tvar magic uint32\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:156:\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:157:\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:159:\t\tif magic != snapFileMagic {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go:160:\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:35:type APIMetricData struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:53:type APIQueryRequest struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:69:type APIQueryResponse struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:83:type APIQuery struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:177:// - Hierarchical selector construction (cluster → host → type → subtype)\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/api.go:182:// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/stats.go:16:type Stats struct {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/query.go:41:type InternalMetricStore struct{}\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/query.go:220:// query construction. These are used in APIQuery.Type field throughout buildQueries\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/query.go:231:// buildQueries constructs APIQuery structures with automatic scope transformation for a job.\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/query.go:1003:// buildNodeQueries constructs APIQuery structures for node-based queries with scope transformation."}]},"uuid":"20fa6397-0426-43c5-b431-3f4d5193e5a4","timestamp":"2026-03-04T10:14:56.084Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"9fafab09-4b30-4c20-9066-77360030fb9b","timestamp":"2026-03-04T10:14:56.085Z"}
{"parentUuid":"9fafab09-4b30-4c20-9066-77360030fb9b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-04T10:14:57.634Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01UiUsvgW5NNWquZekM852YQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VuK682j3v7homGueDc6KRn","name":"Read","input":{"file_path":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/configSchema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":9784,"cache_read_input_tokens":45165,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9784},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYhs6hC9t3FaNGn3NZ4xE","uuid":"84e0b1a4-b6fd-40a4-87e6-45c937e5b99c"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"5964e8fe-3430-41f7-8509-c2ae48ffb082","timestamp":"2026-03-04T10:14:57.634Z"}
{"parentUuid":"5964e8fe-3430-41f7-8509-c2ae48ffb082","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VuK682j3v7homGueDc6KRn","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 'json'.\",\n 22→ \"type\": \"string\"\n 23→ },\n 24→ \"interval\": {\n 25→ \"description\": \"Interval at which the metrics should be checkpointed.\",\n 26→ \"type\": \"string\"\n 27→ },\n 28→ \"directory\": {\n 29→ \"description\": \"Path in which the checkpointed files should be placed.\",\n 30→ \"type\": \"string\"\n 31→ }\n 32→ },\n 33→ \"required\": [\"interval\"]\n 34→ },\n 35→ \"cleanup\": {\n 36→ \"description\": \"Configuration for the cleanup process.\",\n 37→ \"type\": \"object\",\n 38→ \"properties\": {\n 39→ \"mode\": {\n 40→ \"description\": \"The operation mode (e.g., 'archive' or 'delete').\",\n 41→ \"type\": \"string\",\n 42→ \"enum\": [\"archive\", \"delete\"] \n 43→ },\n 44→ \"interval\": {\n 45→ \"description\": \"Interval at which the cleanup runs.\",\n 46→ \"type\": \"string\"\n 47→ },\n 48→ \"directory\": {\n 49→ \"description\": \"Target directory for operations.\",\n 50→ \"type\": \"string\"\n 51→ }\n 52→ },\n 53→ \"if\": {\n 54→ \"properties\": {\n 55→ \"mode\": { \"const\": \"archive\" }\n 56→ }\n 57→ },\n 58→ \"then\": {\n 59→ \"required\": [\"interval\", \"directory\"]\n 60→ }\n 61→ },\n 62→ \"retention-in-memory\": {\n 63→ \"description\": \"Keep the metrics within memory for given time interval. Retention for X hours, then the metrics would be freed.\",\n 64→ \"type\": \"string\"\n 65→ },\n 66→ \"memory-cap\": {\n 67→ \"description\": \"Upper memory capacity limit used by metricstore in GB\",\n 68→ \"type\": \"integer\"\n 69→ },\n 70→ \"nats-subscriptions\": {\n 71→ \"description\": \"Array of various subscriptions. Allows to subscribe to different subjects and publishers.\",\n 72→ \"type\": \"array\",\n 73→ \"items\": {\n 74→ \"type\": \"object\",\n 75→ \"properties\": {\n 76→ \"subscribe-to\": {\n 77→ \"description\": \"Subject name\",\n 78→ \"type\": \"string\"\n 79→ },\n 80→ \"cluster-tag\": {\n 81→ \"description\": \"Optional: Allow lines without a cluster tag, use this as default\",\n 82→ \"type\": \"string\"\n 83→ }\n 84→ },\n 85→\t\t\t\t\"required\": [\"subscribe-to\"]\n 86→ }\n 87→ }\n 88→ },\n 89→ \"required\": [\"checkpoints\", \"retention-in-memory\", \"memory-cap\"]\n 90→}`\n 91→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"96f87a65-577f-46fa-b9f2-ac5010668714","timestamp":"2026-03-04T10:14:57.643Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"","agentId":"a28dacdf46f5da80f"},"toolUseID":"agent_msg_01Uk5KpHoRXab8zbHaisdSeQ","parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","uuid":"197d30e4-8ec8-4bbd-bb90-739fe5a2428b","timestamp":"2026-03-04T10:14:57.673Z"}
{"parentUuid":"197d30e4-8ec8-4bbd-bb90-739fe5a2428b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","toolUseID":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","timestamp":"2026-03-04T10:15:26.837Z","uuid":"22866ea6-1159-4505-80b0-111f4418eb55"}
{"parentUuid":"a05a6e09-83d4-4d13-92de-593307a79947","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015sa1JrvgDhWoUyR2MQhfvZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have a comprehensive understanding. Let me create a detailed report of my findings.\n\n## Comprehensive Report: cc-backend Metricstore WAL & Parquet Architecture\n\nBased on my exploration of the cc-backend metricstore package (version 1.4.5-0.20260303062012-8b0f63b1f849), here are the detailed findings:\n\n---\n\n### 1. WAL (Write-Ahead Log) CHECKPOINT FORMAT\n\n#### File Structure and Magic Numbers\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go`\n\n**Magic Numbers:**\n```go\nwalFileMagic = uint32(0xCC1DA701) // WAL file header magic\nwalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\nsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n```\n\n#### WAL Record Format (per-write entries)\n```\n[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n\npayload structure:\n [8B timestamp int64]\n [2B metric_name_len uint16][N metric name bytes]\n [1B selector_count uint8]\n per selector: [1B selector_len uint8][M selector bytes]\n [4B value float32 bits]\n```\n\n**Key Features:**\n- Append-only binary format (per-write crash safety)\n- CRC32 checksums for data integrity\n- File-level magic header\n- Truncated trailing records (from crashes) are silently skipped\n- Stored at: `checkpoints/cluster/host/current.wal`\n\n#### Binary Snapshot Format (periodic periodic snapshots)\n```\n[4B magic 0xCC5B0001][8B from int64][8B to int64]\n\nLevel tree (recursive):\n [4B num_metrics uint32]\n per metric:\n [2B name_len uint16][N name bytes]\n [8B frequency int64][8B start int64]\n [4B num_values uint32][num_values × 4B float32]\n [4B num_children uint32]\n per child: [2B name_len uint16][N name bytes] + Level (recursive)\n```\n\n**Key Features:**\n- Column-oriented hierarchical structure\n- Atomic writes (write to .tmp, then rename)\n- Supports all metric frequencies and time ranges\n- Stored at: `checkpoints/cluster/host/TIMESTAMP.bin`\n\n#### Data Structures\n```go\ntype WALMessage struct {\n MetricName string // Metric name (no cluster/node, inferred from file path)\n Cluster string // Cluster name\n Node string // Node/host name\n Selector []string // Path selector (e.g., [\"socket0\", \"core1\"])\n Value schema.Float // Metric value\n Timestamp int64 // Unix timestamp\n}\n\ntype CheckpointMetrics struct {\n Data []schema.Float `json:\"data\"`\n Frequency int64 `json:\"frequency\"`\n Start int64 `json:\"start\"`\n}\n\ntype CheckpointFile struct {\n Metrics map[string]*CheckpointMetrics `json:\"metrics\"`\n Children map[string]*CheckpointFile `json:\"children\"`\n From int64 `json:\"from\"`\n To int64 `json:\"to\"`\n}\n```\n\n#### Checkpoint Workflow\n1. **Init (startup)**: `FromCheckpointFiles()` loads checkpoints within retention window\n2. **Checkpointing (background)**: \n - JSON mode: `ToCheckpoint()` periodic snapshots\n - WAL mode: `ToCheckpointWAL()` binary snapshots + WAL rotation\n3. **WAL Staging**: `WALStaging()` goroutine receives `WALMessages` and appends binary records\n4. **Shutdown**: Final checkpoint written, then WAL files deleted or rotated\n\n#### Parallel Processing\n- Worker pool size: configurable via `Keys.NumWorkers` (default: min(NumCPU/2+1, 10))\n- Host-level locking: one host locked at a time for checkpoint writes\n- Allows concurrent reads/writes to other hosts during checkpointing\n\n---\n\n### 2. PARQUET CLEANUP/ARCHIVE FORMAT\n\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go`\n\n#### Data Schema (Long Format)\n```go\ntype ParquetMetricRow struct {\n Cluster string `parquet:\"cluster\"`\n Hostname string `parquet:\"hostname\"`\n Metric string `parquet:\"metric\"`\n Scope string `parquet:\"scope\"`\n ScopeID string `parquet:\"scope_id\"`\n Timestamp int64 `parquet:\"timestamp\"`\n Frequency int64 `parquet:\"frequency\"`\n Value float32 `parquet:\"value\"`\n}\n```\n\n**One row per data point**: (host, metric, scope, scope_id, timestamp)\n\n#### Scope Parsing Logic\nHierarchy mapping from checkpoint tree names to scope/scope_id:\n```go\nprefixes := {\n \"socket\" → (\"socket\", \"ID\"),\n \"memoryDomain\" → (\"memoryDomain\", \"ID\"),\n \"core\" → (\"core\", \"ID\"),\n \"hwthread\" → (\"hwthread\", \"ID\"),\n \"cpu\" → (\"hwthread\", \"ID\"), // Legacy alias\n \"accelerator\" → (\"accelerator\", \"ID\"),\n \"unknown\" → (\"unknown\", \"\")\n}\n\nExamples:\n \"socket0\" → (\"socket\", \"0\")\n \"core12\" → (\"core\", \"12\")\n \"a0\" → (\"a\", \"\") // Unknown prefix\n```\n\n#### File Organization\n```\narchive/\n cluster1/\n 1234567890.parquet (all hosts in cluster1, archive timestamp)\n cluster2/\n 1234567890.parquet\n```\n\n**One Parquet file per cluster**, consolidating all hosts\n\n#### Compression & Sorting\n- **Compression**: Zstandard (Zstd)\n- **Write Buffer**: 1MB for performance\n- **Sorting**: By (cluster, hostname, metric, timestamp) for optimal compression\n- **Library**: `github.com/parquet-go/parquet-go`\n\n#### Archive Workflow\n```\n1. archiveCheckpoints()\n ├─ For each cluster\n ├─ For each host (parallel, worker pool)\n │ └─ archiveCheckpointsToParquet()\n │ ├─ Read checkpoint files (JSON or binary)\n │ └─ flattenCheckpointFile() → ParquetMetricRow slice\n ├─ writeParquetArchive() → single Parquet file\n └─ Delete archived checkpoint files\n```\n\n---\n\n### 3. CONFIGURATION OPTIONS\n\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go`\n\n#### Structure Hierarchy\n```go\ntype MetricStoreConfig struct {\n NumWorkers int // Parallel workers (0 = auto)\n RetentionInMemory string // Duration in RAM (e.g., \"48h\")\n MemoryCap int // Max bytes for buffers\n Checkpoints Checkpoints\n Debug *Debug\n Cleanup *Cleanup\n Subscriptions *Subscriptions\n}\n\ntype Checkpoints struct {\n FileFormat string // \"json\" or \"wal\"\n Interval string // e.g., \"1h\"\n RootDir string // Checkpoint storage path\n}\n\ntype Cleanup struct {\n Interval string // e.g., \"24h\"\n RootDir string // Archive storage path\n Mode string // \"archive\" or \"delete\"\n}\n\ntype Debug struct {\n DumpToFile string // Path to dump checkpoint data\n EnableGops bool // Enable gops debugging\n}\n\ntype Subscriptions []struct {\n SubscribeTo string // NATS subject\n ClusterTag string // Default cluster name\n}\n```\n\n#### JSON Schema (from configSchema.go)\n```json\n{\n \"checkpoints\": {\n \"required\": [\"interval\"],\n \"properties\": {\n \"file-format\": \"string ('json' or 'wal')\",\n \"interval\": \"string (e.g., '1h')\",\n \"directory\": \"string (path)\"\n }\n },\n \"cleanup\": {\n \"if mode == 'archive': required: ['interval', 'directory']\",\n \"properties\": {\n \"mode\": \"enum: ['archive', 'delete']\",\n \"interval\": \"string\",\n \"directory\": \"string\"\n }\n },\n \"retention-in-memory\": \"string (e.g., '48h')\",\n \"memory-cap\": \"integer (bytes)\",\n \"num-workers\": \"integer (0 = auto)\",\n \"nats-subscriptions\": \"array of {subscribe-to, cluster-tag}\"\n}\n```\n\n#### Global Configuration Instance\n```go\nvar Keys MetricStoreConfig = MetricStoreConfig{\n Checkpoints: Checkpoints{\n FileFormat: \"json\", // Default format\n RootDir: \"./var/checkpoints\",\n },\n Cleanup: &Cleanup{\n Mode: \"delete\", // Default: delete old data, not archive\n },\n}\n```\n\n---\n\n### 4. KEY STRUCT TYPES & FILE FORMATS\n\n#### Summary Table\n\n| Component | File Format | Magic/Header | Key Struct | Storage Path |\n|-----------|------------|--------------|-----------|--------------|\n| WAL File | Binary append-only | 0xCC1DA701 (header) | `WALMessage` | `checkpoints/cluster/host/current.wal` |\n| WAL Record | Binary per-record | 0xCC1DA7A1 + CRC32 | `WALMessage` | Within WAL file |\n| JSON Checkpoint | JSON hierarchy | None | `CheckpointFile` | `checkpoints/cluster/host/TIMESTAMP.json` |\n| Binary Snapshot | Binary hierarchical | 0xCC5B0001 | `CheckpointFile` | `checkpoints/cluster/host/TIMESTAMP.bin` |\n| Parquet Archive | Parquet long-format | Parquet standard | `ParquetMetricRow` | `archive/cluster/TIMESTAMP.parquet` |\n\n#### Constant Values\n```go\nCheckpointFilePerms = 0o644 // File permissions\nCheckpointDirPerms = 0o755 // Directory permissions\nGCTriggerInterval = 100 // GC during checkpoint loading\n\nBufferCap = 512 // Default buffer capacity\nmaxPoolSize = 4096 // Persistent buffer pool limit\nMaxMissingDataPoints = 5 // Healthcheck threshold\n```\n\n#### Aggregation Strategy\n```go\ntype AggregationStrategy int\n\nconst (\n NoAggregation = iota // Do not aggregate\n SumAggregation // Add values (power, energy)\n AvgAggregation // Average values (temperature, utilization)\n)\n```\n\n---\n\n### 5. INTEGRATION WITH cc-metric-store\n\nThe cc-metric-store project at `/Users/jan/prg/ClusterCockpit/cc-metric-store` imports and uses:\n- Checkpoint loading at startup (JSON or WAL mode)\n- Background checkpointing worker\n- WAL staging for crash-safe writes\n- Cleanup worker for archiving/deletion\n\n**Entry point**: `cmd/cc-metric-store/main.go` → calls `MemoryStore.FromCheckpointFiles()` at init\n\n---\n\n### 6. TEST EXAMPLES\n\nFrom `parquetArchive_test.go`:\n- **TestParseScopeFromName**: Validates scope/scope_id extraction (socket0→socket/0, cpu0→hwthread/0)\n- **TestFlattenCheckpointFile**: Converts hierarchical checkpoint to Parquet rows\n- **TestParquetArchiveRoundtrip**: End-to-end checkpoint→JSON→Parquet→read verification\n- **TestLoadCheckpointFileFromDisk_JSON**: Loads and validates JSON checkpoint format\n\n---\n\nThis comprehensive architecture enables:\n1. **Graceful restarts** via checkpointing (JSON for human inspection, WAL for crash safety)\n2. **Long-term archival** to Parquet (compressed, queryable, one file per cluster)\n3. **Memory efficiency** via retention windows and periodic cleanup\n4. **Parallel processing** of hosts during checkpointing/archival operations"},{"type":"text","text":"agentId: a28dacdf46f5da80f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 59503\ntool_uses: 16\nduration_ms: 61713</usage>"}]}]},"uuid":"8bd31bbf-dc58-443f-bd78-b3bb10e7c93a","timestamp":"2026-03-04T10:15:26.836Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend metricstore package. Find it in the Go module cache or vendor directory for the project at /Users/jan/prg/ClusterCockpit/cc-metric-store. I need to understand:\n1. The WAL (Write-Ahead Log) checkpoint format - how checkpoints are stored, what format they use\n2. The Parquet cleanup/archive format - how old data is archived to parquet files\n3. Any configuration options related to these two features\n4. Key struct types and file formats used\n\nLook in the go module cache (~/go/pkg/mod/github.com/!cluster!cockpit/) or any vendor directory. Be thorough about checkpoint and archive/parquet details.","agentId":"a28dacdf46f5da80f","content":[{"type":"text","text":"Excellent! Now I have a comprehensive understanding. Let me create a detailed report of my findings.\n\n## Comprehensive Report: cc-backend Metricstore WAL & Parquet Architecture\n\nBased on my exploration of the cc-backend metricstore package (version 1.4.5-0.20260303062012-8b0f63b1f849), here are the detailed findings:\n\n---\n\n### 1. WAL (Write-Ahead Log) CHECKPOINT FORMAT\n\n#### File Structure and Magic Numbers\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/walCheckpoint.go`\n\n**Magic Numbers:**\n```go\nwalFileMagic = uint32(0xCC1DA701) // WAL file header magic\nwalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\nsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n```\n\n#### WAL Record Format (per-write entries)\n```\n[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n\npayload structure:\n [8B timestamp int64]\n [2B metric_name_len uint16][N metric name bytes]\n [1B selector_count uint8]\n per selector: [1B selector_len uint8][M selector bytes]\n [4B value float32 bits]\n```\n\n**Key Features:**\n- Append-only binary format (per-write crash safety)\n- CRC32 checksums for data integrity\n- File-level magic header\n- Truncated trailing records (from crashes) are silently skipped\n- Stored at: `checkpoints/cluster/host/current.wal`\n\n#### Binary Snapshot Format (periodic periodic snapshots)\n```\n[4B magic 0xCC5B0001][8B from int64][8B to int64]\n\nLevel tree (recursive):\n [4B num_metrics uint32]\n per metric:\n [2B name_len uint16][N name bytes]\n [8B frequency int64][8B start int64]\n [4B num_values uint32][num_values × 4B float32]\n [4B num_children uint32]\n per child: [2B name_len uint16][N name bytes] + Level (recursive)\n```\n\n**Key Features:**\n- Column-oriented hierarchical structure\n- Atomic writes (write to .tmp, then rename)\n- Supports all metric frequencies and time ranges\n- Stored at: `checkpoints/cluster/host/TIMESTAMP.bin`\n\n#### Data Structures\n```go\ntype WALMessage struct {\n MetricName string // Metric name (no cluster/node, inferred from file path)\n Cluster string // Cluster name\n Node string // Node/host name\n Selector []string // Path selector (e.g., [\"socket0\", \"core1\"])\n Value schema.Float // Metric value\n Timestamp int64 // Unix timestamp\n}\n\ntype CheckpointMetrics struct {\n Data []schema.Float `json:\"data\"`\n Frequency int64 `json:\"frequency\"`\n Start int64 `json:\"start\"`\n}\n\ntype CheckpointFile struct {\n Metrics map[string]*CheckpointMetrics `json:\"metrics\"`\n Children map[string]*CheckpointFile `json:\"children\"`\n From int64 `json:\"from\"`\n To int64 `json:\"to\"`\n}\n```\n\n#### Checkpoint Workflow\n1. **Init (startup)**: `FromCheckpointFiles()` loads checkpoints within retention window\n2. **Checkpointing (background)**: \n - JSON mode: `ToCheckpoint()` periodic snapshots\n - WAL mode: `ToCheckpointWAL()` binary snapshots + WAL rotation\n3. **WAL Staging**: `WALStaging()` goroutine receives `WALMessages` and appends binary records\n4. **Shutdown**: Final checkpoint written, then WAL files deleted or rotated\n\n#### Parallel Processing\n- Worker pool size: configurable via `Keys.NumWorkers` (default: min(NumCPU/2+1, 10))\n- Host-level locking: one host locked at a time for checkpoint writes\n- Allows concurrent reads/writes to other hosts during checkpointing\n\n---\n\n### 2. PARQUET CLEANUP/ARCHIVE FORMAT\n\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/parquetArchive.go`\n\n#### Data Schema (Long Format)\n```go\ntype ParquetMetricRow struct {\n Cluster string `parquet:\"cluster\"`\n Hostname string `parquet:\"hostname\"`\n Metric string `parquet:\"metric\"`\n Scope string `parquet:\"scope\"`\n ScopeID string `parquet:\"scope_id\"`\n Timestamp int64 `parquet:\"timestamp\"`\n Frequency int64 `parquet:\"frequency\"`\n Value float32 `parquet:\"value\"`\n}\n```\n\n**One row per data point**: (host, metric, scope, scope_id, timestamp)\n\n#### Scope Parsing Logic\nHierarchy mapping from checkpoint tree names to scope/scope_id:\n```go\nprefixes := {\n \"socket\" → (\"socket\", \"ID\"),\n \"memoryDomain\" → (\"memoryDomain\", \"ID\"),\n \"core\" → (\"core\", \"ID\"),\n \"hwthread\" → (\"hwthread\", \"ID\"),\n \"cpu\" → (\"hwthread\", \"ID\"), // Legacy alias\n \"accelerator\" → (\"accelerator\", \"ID\"),\n \"unknown\" → (\"unknown\", \"\")\n}\n\nExamples:\n \"socket0\" → (\"socket\", \"0\")\n \"core12\" → (\"core\", \"12\")\n \"a0\" → (\"a\", \"\") // Unknown prefix\n```\n\n#### File Organization\n```\narchive/\n cluster1/\n 1234567890.parquet (all hosts in cluster1, archive timestamp)\n cluster2/\n 1234567890.parquet\n```\n\n**One Parquet file per cluster**, consolidating all hosts\n\n#### Compression & Sorting\n- **Compression**: Zstandard (Zstd)\n- **Write Buffer**: 1MB for performance\n- **Sorting**: By (cluster, hostname, metric, timestamp) for optimal compression\n- **Library**: `github.com/parquet-go/parquet-go`\n\n#### Archive Workflow\n```\n1. archiveCheckpoints()\n ├─ For each cluster\n ├─ For each host (parallel, worker pool)\n │ └─ archiveCheckpointsToParquet()\n │ ├─ Read checkpoint files (JSON or binary)\n │ └─ flattenCheckpointFile() → ParquetMetricRow slice\n ├─ writeParquetArchive() → single Parquet file\n └─ Delete archived checkpoint files\n```\n\n---\n\n### 3. CONFIGURATION OPTIONS\n\nLocated in: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-backend@v1.4.5-0.20260303062012-8b0f63b1f849/pkg/metricstore/config.go`\n\n#### Structure Hierarchy\n```go\ntype MetricStoreConfig struct {\n NumWorkers int // Parallel workers (0 = auto)\n RetentionInMemory string // Duration in RAM (e.g., \"48h\")\n MemoryCap int // Max bytes for buffers\n Checkpoints Checkpoints\n Debug *Debug\n Cleanup *Cleanup\n Subscriptions *Subscriptions\n}\n\ntype Checkpoints struct {\n FileFormat string // \"json\" or \"wal\"\n Interval string // e.g., \"1h\"\n RootDir string // Checkpoint storage path\n}\n\ntype Cleanup struct {\n Interval string // e.g., \"24h\"\n RootDir string // Archive storage path\n Mode string // \"archive\" or \"delete\"\n}\n\ntype Debug struct {\n DumpToFile string // Path to dump checkpoint data\n EnableGops bool // Enable gops debugging\n}\n\ntype Subscriptions []struct {\n SubscribeTo string // NATS subject\n ClusterTag string // Default cluster name\n}\n```\n\n#### JSON Schema (from configSchema.go)\n```json\n{\n \"checkpoints\": {\n \"required\": [\"interval\"],\n \"properties\": {\n \"file-format\": \"string ('json' or 'wal')\",\n \"interval\": \"string (e.g., '1h')\",\n \"directory\": \"string (path)\"\n }\n },\n \"cleanup\": {\n \"if mode == 'archive': required: ['interval', 'directory']\",\n \"properties\": {\n \"mode\": \"enum: ['archive', 'delete']\",\n \"interval\": \"string\",\n \"directory\": \"string\"\n }\n },\n \"retention-in-memory\": \"string (e.g., '48h')\",\n \"memory-cap\": \"integer (bytes)\",\n \"num-workers\": \"integer (0 = auto)\",\n \"nats-subscriptions\": \"array of {subscribe-to, cluster-tag}\"\n}\n```\n\n#### Global Configuration Instance\n```go\nvar Keys MetricStoreConfig = MetricStoreConfig{\n Checkpoints: Checkpoints{\n FileFormat: \"json\", // Default format\n RootDir: \"./var/checkpoints\",\n },\n Cleanup: &Cleanup{\n Mode: \"delete\", // Default: delete old data, not archive\n },\n}\n```\n\n---\n\n### 4. KEY STRUCT TYPES & FILE FORMATS\n\n#### Summary Table\n\n| Component | File Format | Magic/Header | Key Struct | Storage Path |\n|-----------|------------|--------------|-----------|--------------|\n| WAL File | Binary append-only | 0xCC1DA701 (header) | `WALMessage` | `checkpoints/cluster/host/current.wal` |\n| WAL Record | Binary per-record | 0xCC1DA7A1 + CRC32 | `WALMessage` | Within WAL file |\n| JSON Checkpoint | JSON hierarchy | None | `CheckpointFile` | `checkpoints/cluster/host/TIMESTAMP.json` |\n| Binary Snapshot | Binary hierarchical | 0xCC5B0001 | `CheckpointFile` | `checkpoints/cluster/host/TIMESTAMP.bin` |\n| Parquet Archive | Parquet long-format | Parquet standard | `ParquetMetricRow` | `archive/cluster/TIMESTAMP.parquet` |\n\n#### Constant Values\n```go\nCheckpointFilePerms = 0o644 // File permissions\nCheckpointDirPerms = 0o755 // Directory permissions\nGCTriggerInterval = 100 // GC during checkpoint loading\n\nBufferCap = 512 // Default buffer capacity\nmaxPoolSize = 4096 // Persistent buffer pool limit\nMaxMissingDataPoints = 5 // Healthcheck threshold\n```\n\n#### Aggregation Strategy\n```go\ntype AggregationStrategy int\n\nconst (\n NoAggregation = iota // Do not aggregate\n SumAggregation // Add values (power, energy)\n AvgAggregation // Average values (temperature, utilization)\n)\n```\n\n---\n\n### 5. INTEGRATION WITH cc-metric-store\n\nThe cc-metric-store project at `/Users/jan/prg/ClusterCockpit/cc-metric-store` imports and uses:\n- Checkpoint loading at startup (JSON or WAL mode)\n- Background checkpointing worker\n- WAL staging for crash-safe writes\n- Cleanup worker for archiving/deletion\n\n**Entry point**: `cmd/cc-metric-store/main.go` → calls `MemoryStore.FromCheckpointFiles()` at init\n\n---\n\n### 6. TEST EXAMPLES\n\nFrom `parquetArchive_test.go`:\n- **TestParseScopeFromName**: Validates scope/scope_id extraction (socket0→socket/0, cpu0→hwthread/0)\n- **TestFlattenCheckpointFile**: Converts hierarchical checkpoint to Parquet rows\n- **TestParquetArchiveRoundtrip**: End-to-end checkpoint→JSON→Parquet→read verification\n- **TestLoadCheckpointFileFromDisk_JSON**: Loads and validates JSON checkpoint format\n\n---\n\nThis comprehensive architecture enables:\n1. **Graceful restarts** via checkpointing (JSON for human inspection, WAL for crash safety)\n2. **Long-term archival** to Parquet (compressed, queryable, one file per cluster)\n3. **Memory efficiency** via retention windows and periodic cleanup\n4. **Parallel processing** of hosts during checkpointing/archival operations"}],"totalDurationMs":61713,"totalTokens":59503,"totalToolUseCount":16,"usage":{"input_tokens":2,"cache_creation_input_tokens":1323,"cache_read_input_tokens":54949,"output_tokens":3229,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1323,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a05a6e09-83d4-4d13-92de-593307a79947"}
{"parentUuid":"8bd31bbf-dc58-443f-bd78-b3bb10e7c93a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_01KfR8fGsoUz1VTAa62dJzQ6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have comprehensive information about the WAL checkpoint format and the Parquet cleanup/archive. Let me update the README to reflect these details. The key things to update are:\n\n1. **Checkpoint format**: Two options now - `\"json\"` (traditional) and `\"wal\"` (binary WAL for crash safety). When using WAL mode, data is written to binary `.bin` snapshots + an append-only `current.wal` file.\n2. **Archive format**: Cleanup mode `\"archive\"` now writes Parquet files (not JSON) to the archive directory, organized as `archive/cluster/TIMESTAMP.parquet`, with Zstd compression. \n3. **Parquet schema**: The archived data includes fields for cluster, hostname, metric, scope, scope_id, timestamp, frequency, and value.\n4. **Config updates**: The `checkpoints` section gets a new `file-format` field, and there's a `num-workers` configuration option to add.\n\nI'll update the README config section and add documentation about the storage formats.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3615,"cache_read_input_tokens":46859,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3615},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYhs8yQnQLNgN6zyvzZwY","type":"assistant","uuid":"d09df29c-7e9f-4ede-a2e5-5425a91ab680","timestamp":"2026-03-04T10:15:34.702Z"}
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{"parentUuid":"b91cee27-e00b-4931-88de-544c1e13a824","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RPaZerDguBcpJRCHusr2cj","type":"tool_result","content":" 1→# ClusterCockpit Metric Store\n 2→\n 3→[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n 4→\n 5→The cc-metric-store provides a simple in-memory time series database for storing\n 6→metrics of cluster nodes at preconfigured intervals. It is meant to be used as\n 7→part of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\n 8→data is kept in-memory, accessing it is very fast. It also provides topology aware\n 9→aggregations over time _and_ nodes/sockets/cpus.\n 10→\n 11→There are major limitations: Data only gets written to disk at periodic\n 12→checkpoints, not as soon as it is received. Also only the fixed configured\n 13→duration is stored and available.\n 14→\n 15→The storage engine is provided by the\n 16→[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n 17→(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n 18→\n 19→The [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\n 20→endpoint both consume messages in [this format of the InfluxDB line\n 21→protocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n 22→\n 23→## Building\n 24→\n 25→`cc-metric-store` can be built using the provided `Makefile`.\n 26→It supports the following targets:\n 27→\n 28→- `make`: Build the application, copy an example configuration file and generate\n 29→ checkpoint folders if required.\n 30→- `make clean`: Clean the golang build cache and application binary\n 31→- `make distclean`: In addition to the clean target also remove the `./var`\n 32→ folder and `config.json`\n 33→- `make swagger`: Regenerate the Swagger files from the source comments.\n 34→- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n 35→\n 36→## Running\n 37→\n 38→```sh\n 39→./cc-metric-store # Uses ./config.json\n 40→./cc-metric-store -config /path/to/config.json\n 41→./cc-metric-store -dev # Enable Swagger UI at /swagger/\n 42→./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n 43→./cc-metric-store -logdate # Add date and time to log messages\n 44→./cc-metric-store -version # Show version information and exit\n 45→./cc-metric-store -gops # Enable gops agent for debugging\n 46→```\n 47→\n 48→## REST API Endpoints\n 49→\n 50→The REST API is documented in [swagger.json](./api/swagger.json). You can\n 51→explore and try the REST API using the integrated [SwaggerUI web\n 52→interface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n 53→\n 54→For more information on the `cc-metric-store` REST API have a look at the\n 55→ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n 56→\n 57→All endpoints support both trailing-slash and non-trailing-slash variants:\n 58→\n 59→| Method | Path | Description |\n 60→| ------ | ------------------- | -------------------------------------- |\n 61→| `GET` | `/api/query/` | Query metrics with selectors |\n 62→| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n 63→| `POST` | `/api/free/` | Free buffers up to a timestamp |\n 64→| `GET` | `/api/debug/` | Dump internal state |\n 65→| `GET` | `/api/healthcheck/` | Check node health status |\n 66→\n 67→If `jwt-public-key` is set in `config.json`, all endpoints require JWT\n 68→authentication using an Ed25519 key (`Authorization: Bearer <token>`).\n 69→\n 70→## Run tests\n 71→\n 72→Some benchmarks concurrently access the `MemoryStore`, so enabling the\n 73→[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\n 74→The benchmarks also work as tests as they do check if the returned values are as\n 75→expected.\n 76→\n 77→```sh\n 78→# Tests only\n 79→go test -v ./...\n 80→\n 81→# Benchmarks as well\n 82→go test -bench=. -race -v ./...\n 83→```\n 84→\n 85→## What are these selectors mentioned in the code?\n 86→\n 87→The cc-metric-store works as a time-series database and uses the InfluxDB line\n 88→protocol as input format. Unlike InfluxDB, the data is indexed by one single\n 89→strictly hierarchical tree structure. A selector is built out of the tags in the\n 90→InfluxDB line protocol, and can be used to select a node (not in the sense of a\n 91→compute node, can also be a socket, cpu, ...) in that tree. The implementation\n 92→calls those nodes `level` to avoid confusion. It is impossible to access data\n 93→only by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\n 94→specified as well.\n 95→\n 96→This is what the hierarchy currently looks like:\n 97→\n 98→- cluster1\n 99→ - host1\n 100→ - socket0\n 101→ - socket1\n 102→ - ...\n 103→ - cpu1\n 104→ - cpu2\n 105→ - cpu3\n 106→ - cpu4\n 107→ - ...\n 108→ - gpu1\n 109→ - gpu2\n 110→ - host2\n 111→ - ...\n 112→- cluster2\n 113→- ...\n 114→\n 115→Example selectors:\n 116→\n 117→1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n 118→2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n 119→3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n 120→\n 121→## Config file\n 122→\n 123→The config file is a JSON document with four top-level sections.\n 124→\n 125→### `main`\n 126→\n 127→```json\n 128→\"main\": {\n 129→ \"addr\": \"0.0.0.0:8082\",\n 130→ \"https-cert-file\": \"\",\n 131→ \"https-key-file\": \"\",\n 132→ \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n 133→ \"user\": \"\",\n 134→ \"group\": \"\",\n 135→ \"backend-url\": \"\"\n 136→}\n 137→```\n 138→\n 139→- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n 140→- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n 141→- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n 142→- `user` / `group`: Drop privileges to this user/group after startup\n 143→- `backend-url`: Optional URL of a cc-backend instance used as node provider\n 144→\n 145→### `metrics`\n 146→\n 147→Per-metric configuration. Each key is the metric name:\n 148→\n 149→```json\n 150→\"metrics\": {\n 151→ \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n 152→ \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n 153→ \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n 154→}\n 155→```\n 156→\n 157→- `frequency`: Sampling interval in seconds\n 158→- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n 159→\n 160→### `metric-store`\n 161→\n 162→```json\n 163→\"metric-store\": {\n 164→ \"checkpoints\": {\n 165→ \"interval\": \"12h\",\n 166→ \"directory\": \"./var/checkpoints\"\n 167→ },\n 168→ \"memory-cap\": 100,\n 169→ \"retention-in-memory\": \"48h\",\n 170→ \"cleanup\": {\n 171→ \"mode\": \"archive\",\n 172→ \"interval\": \"48h\",\n 173→ \"directory\": \"./var/archive\"\n 174→ },\n 175→ \"nats-subscriptions\": [\n 176→ { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n 177→ ]\n 178→}\n 179→```\n 180→\n 181→- `checkpoints.interval`: How often to write checkpoints to disk\n 182→- `checkpoints.directory`: Where to store checkpoint files\n 183→- `memory-cap`: Memory cap in MB\n 184→- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n 185→- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n 186→- `cleanup.interval`: How often to run the cleanup\n 187→- `cleanup.directory`: Where to archive old data\n 188→- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n 189→\n 190→### `nats`\n 191→\n 192→```json\n 193→\"nats\": {\n 194→ \"address\": \"nats://0.0.0.0:4222\",\n 195→ \"username\": \"root\",\n 196→ \"password\": \"root\"\n 197→}\n 198→```\n 199→\n 200→NATS connection is optional. If not configured, only the HTTP write endpoint is available.\n 201→\n 202→For more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n 203→\n 204→## Test the complete setup (excluding cc-backend itself)\n 205→\n 206→There are two ways for sending data to the cc-metric-store, both of which are\n 207→supported by the\n 208→[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\n 209→This example uses NATS; the alternative is to use HTTP.\n 210→\n 211→```sh\n 212→# Only needed once, downloads the docker image\n 213→docker pull nats:latest\n 214→\n 215→# Start the NATS server\n 216→docker run -p 4222:4222 -ti nats:latest\n 217→```\n 218→\n 219→Second, build and start the\n 220→[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\n 221→using the following as Sink-Config:\n 222→\n 223→```json\n 224→{\n 225→ \"type\": \"nats\",\n 226→ \"host\": \"localhost\",\n 227→ \"port\": \"4222\",\n 228→ \"database\": \"updates\"\n 229→}\n 230→```\n 231→\n 232→Third, build and start the metric store. For this example here, the\n 233→`config.json` file already in the repository should work just fine.\n 234→\n 235→```sh\n 236→# Assuming you have a clone of this repo in ./cc-metric-store:\n 237→cd cc-metric-store\n 238→make\n 239→./cc-metric-store\n 240→```\n 241→\n 242→And finally, use the API to fetch some data. The API is protected by JWT based\n 243→authentication if `jwt-public-key` is set in `config.json`. You can use this JWT\n 244→for testing:\n 245→`REDACTED`\n 246→\n 247→```sh\n 248→JWT=\"REDACTED\"\n 249→\n 250→# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\n 251→curl -H \"Authorization: Bearer $JWT\" \\\n 252→ \"http://localhost:8082/api/query/\" \\\n 253→ -d '{\n 254→ \"cluster\": \"testcluster\",\n 255→ \"from\": '\"$(expr $(date +%s) - 60)\"',\n 256→ \"to\": '\"$(date +%s)\"',\n 257→ \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n 258→ }'\n 259→```\n 260→\n 261→For debugging, the debug endpoint dumps the current content to stdout:\n 262→\n 263→```sh\n 264→JWT=\"REDACTED\"\n 265→\n 266→# Dump everything\n 267→curl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n 268→\n 269→# Dump a specific selector (colon-separated path)\n 270→curl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n 271→```\n 272→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8b0f16dd-71cc-44e5-b5eb-63200e803148","timestamp":"2026-03-04T10:15:34.770Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","content":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory, accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n| ------ | ------------------- | -------------------------------------- |\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n","numLines":272,"startLine":1,"totalLines":272}},"sourceToolAssistantUUID":"b91cee27-e00b-4931-88de-544c1e13a824"}
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Also only the fixed configured\nduration is stored and available.","newString":"There are major limitations: Data only gets written to disk at periodic\ncheckpoints (or via WAL on every write), not immediately as it is received.\nOnly the configured retention window is kept in memory.","originalFile":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory, accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints, not as soon as it is received. Also only the fixed configured\nduration is stored and available.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n| ------ | ------------------- | -------------------------------------- |\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n","structuredPatch":[{"oldStart":9,"oldLines":8,"newStart":9,"newLines":8,"lines":[" aggregations over time _and_ nodes/sockets/cpus."," "," There are major limitations: Data only gets written to disk at periodic","-checkpoints, not as soon as it is received. 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{"parentUuid":"2c661664-c7f7-421a-9727-b61d2734accf","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0174oo2t4QXoxunLUvTzpFMp","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-metric-store/README.md has been updated successfully."}]},"uuid":"d1cab7da-ce36-4bd9-969b-dd413ced31c4","timestamp":"2026-03-04T10:15:50.277Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","oldString":"### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag","newString":"### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"file-format\": \"wal\",\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"num-workers\": 0,\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.file-format`: Checkpoint format: `\"json\"` (default, human-readable) or `\"wal\"` (binary WAL, crash-safe). See [Checkpoint formats](#checkpoint-formats) below.\n- `checkpoints.interval`: How often to flush the in-memory state to a checkpoint snapshot\n- `checkpoints.directory`: Root directory for checkpoint files (organized as `<dir>/<cluster>/<host>/`)\n- `memory-cap`: Approximate memory cap in MB for metric buffers\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `num-workers`: Number of parallel workers for checkpoint/archive I/O (0 = auto, capped at 10)\n- `cleanup.mode`: What to do with data older than `retention-in-memory`: `\"archive\"` (write Parquet) or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup sweep\n- `cleanup.directory`: Root directory for Parquet archive files (required when `mode` is `\"archive\"`)\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag","originalFile":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory, accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints (or via WAL on every write), not immediately as it is received.\nOnly the configured retention window is kept in memory.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n| ------ | ------------------- | -------------------------------------- |\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.interval`: How often to write checkpoints to disk\n- `checkpoints.directory`: Where to store checkpoint files\n- `memory-cap`: Memory cap in MB\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup\n- `cleanup.directory`: Where to archive old data\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n","structuredPatch":[{"oldStart":162,"oldLines":11,"newStart":162,"newLines":13,"lines":[" ```json"," \"metric-store\": {"," \"checkpoints\": {","+ \"file-format\": \"wal\","," \"interval\": \"12h\","," \"directory\": \"./var/checkpoints\""," },"," \"memory-cap\": 100,"," \"retention-in-memory\": \"48h\",","+ \"num-workers\": 0,"," \"cleanup\": {"," \"mode\": \"archive\","," \"interval\": \"48h\","]},{"oldStart":178,"oldLines":13,"newStart":180,"newLines":15,"lines":[" }"," ```"," ","-- `checkpoints.interval`: How often to write checkpoints to disk","-- `checkpoints.directory`: Where to store checkpoint files","-- `memory-cap`: Memory cap in MB","+- `checkpoints.file-format`: Checkpoint format: `\"json\"` (default, human-readable) or `\"wal\"` (binary WAL, crash-safe). See [Checkpoint formats](#checkpoint-formats) below.","+- `checkpoints.interval`: How often to flush the in-memory state to a checkpoint snapshot","+- `checkpoints.directory`: Root directory for checkpoint files (organized as `<dir>/<cluster>/<host>/`)","+- `memory-cap`: Approximate memory cap in MB for metric buffers"," - `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)","-- `cleanup.mode`: What to do with old data: `\"archive\"` or `\"delete\"`","-- `cleanup.interval`: How often to run the cleanup","-- `cleanup.directory`: Where to archive old data","+- `num-workers`: Number of parallel workers for checkpoint/archive I/O (0 = auto, capped at 10)","+- `cleanup.mode`: What to do with data older than `retention-in-memory`: `\"archive\"` (write Parquet) or `\"delete\"`","+- `cleanup.interval`: How often to run the cleanup sweep","+- `cleanup.directory`: Root directory for Parquet archive files (required when `mode` is `\"archive\"`)"," - `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag"," "," ### `nats`"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2c661664-c7f7-421a-9727-b61d2734accf"}
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{"parentUuid":"11605487-fb08-4177-b0b4-08337cbba1ff","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","message":{"model":"claude-sonnet-4-6","id":"msg_01WdRNtWXYfiRY22gj9DcTmS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cy2AmCiWfGxSwZbQkW7HRE","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","old_string":"### `nats`\n\n```json\n\"nats\": {","new_string":"### Checkpoint formats\n\nThe `checkpoints.file-format` field controls how in-memory data is persisted to disk.\n\n**`\"json\"` (default)** — human-readable JSON snapshots written periodically. Each\nsnapshot is stored as `<dir>/<cluster>/<host>/<timestamp>.json` and contains the\nfull metric hierarchy. Easy to inspect and recover manually, but larger on disk\nand slower to write.\n\n**`\"wal\"`** — binary Write-Ahead Log format designed for crash safety. Two file\ntypes are used per host:\n\n- `current.wal` — append-only binary log. Every incoming data point is appended\n immediately (magic `0xCC1DA7A1`, 4-byte CRC32 per record). Truncated trailing\n records from unclean shutdowns are silently skipped on restart.\n- `<timestamp>.bin` — binary snapshot written at each checkpoint interval\n (magic `0xCC5B0001`). Contains the complete hierarchical metric state\n column-by-column. Written atomically via a `.tmp` rename.\n\nOn startup the most recent `.bin` snapshot is loaded, then any remaining WAL\nentries are replayed on top. The WAL is rotated (old file deleted, new one\nstarted) after each successful snapshot.\n\nChoose `\"wal\"` when crash safety is required. Choose `\"json\"` when human\ninspection of checkpoint files is more important.\n\n### Parquet archive\n\nWhen `cleanup.mode` is `\"archive\"`, data that ages out of the in-memory\nretention window is written to [Apache Parquet](https://parquet.apache.org/)\nfiles before being freed. Files are organized as:\n\n```\n<cleanup.directory>/\n <cluster>/\n <timestamp>.parquet\n```\n\nOne Parquet file is produced per cluster per cleanup run, consolidating all\nhosts. Rows use a long (tidy) schema:\n\n| Column | Type | Description |\n|-------------|---------|----------------------------------------------|\n| `cluster` | string | Cluster name |\n| `hostname` | string | Host name |\n| `metric` | string | Metric name |\n| `scope` | string | Hardware scope (`node`, `socket`, `core`, `hwthread`, `accelerator`, …) |\n| `scope_id` | string | Numeric ID within the scope (e.g. `\"0\"`) |\n| `timestamp` | int64 | Unix timestamp (seconds) |\n| `frequency` | int64 | Sampling interval in seconds |\n| `value` | float32 | Metric value |\n\nFiles are compressed with Zstandard and sorted by `(cluster, hostname, metric,\ntimestamp)` for efficient columnar reads. The `cpu` prefix in the tree is\ntreated as an alias for `hwthread` scope.\n\n### `nats`\n\n```json\n\"nats\": {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1011,"cache_read_input_tokens":55319,"output_tokens":846,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1011,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYhsAh1rNvNe9gHD97Uso","type":"assistant","uuid":"f1e60d4c-57ae-4cd1-9037-7240b665bf44","timestamp":"2026-03-04T10:16:08.192Z"}
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{"parentUuid":"f1e60d4c-57ae-4cd1-9037-7240b665bf44","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-metric-store","sessionId":"2ae52553-8b77-41f7-ac23-2703eee15145","version":"2.1.66","gitBranch":"dev","slug":"lexical-plotting-glade","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cy2AmCiWfGxSwZbQkW7HRE","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-metric-store/README.md has been updated successfully."}]},"uuid":"468d55ee-a694-4c8c-9172-b25756df73c6","timestamp":"2026-03-04T10:16:08.226Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-metric-store/README.md","oldString":"### `nats`\n\n```json\n\"nats\": {","newString":"### Checkpoint formats\n\nThe `checkpoints.file-format` field controls how in-memory data is persisted to disk.\n\n**`\"json\"` (default)** — human-readable JSON snapshots written periodically. Each\nsnapshot is stored as `<dir>/<cluster>/<host>/<timestamp>.json` and contains the\nfull metric hierarchy. Easy to inspect and recover manually, but larger on disk\nand slower to write.\n\n**`\"wal\"`** — binary Write-Ahead Log format designed for crash safety. Two file\ntypes are used per host:\n\n- `current.wal` — append-only binary log. Every incoming data point is appended\n immediately (magic `0xCC1DA7A1`, 4-byte CRC32 per record). Truncated trailing\n records from unclean shutdowns are silently skipped on restart.\n- `<timestamp>.bin` — binary snapshot written at each checkpoint interval\n (magic `0xCC5B0001`). Contains the complete hierarchical metric state\n column-by-column. Written atomically via a `.tmp` rename.\n\nOn startup the most recent `.bin` snapshot is loaded, then any remaining WAL\nentries are replayed on top. The WAL is rotated (old file deleted, new one\nstarted) after each successful snapshot.\n\nChoose `\"wal\"` when crash safety is required. Choose `\"json\"` when human\ninspection of checkpoint files is more important.\n\n### Parquet archive\n\nWhen `cleanup.mode` is `\"archive\"`, data that ages out of the in-memory\nretention window is written to [Apache Parquet](https://parquet.apache.org/)\nfiles before being freed. Files are organized as:\n\n```\n<cleanup.directory>/\n <cluster>/\n <timestamp>.parquet\n```\n\nOne Parquet file is produced per cluster per cleanup run, consolidating all\nhosts. Rows use a long (tidy) schema:\n\n| Column | Type | Description |\n|-------------|---------|----------------------------------------------|\n| `cluster` | string | Cluster name |\n| `hostname` | string | Host name |\n| `metric` | string | Metric name |\n| `scope` | string | Hardware scope (`node`, `socket`, `core`, `hwthread`, `accelerator`, …) |\n| `scope_id` | string | Numeric ID within the scope (e.g. `\"0\"`) |\n| `timestamp` | int64 | Unix timestamp (seconds) |\n| `frequency` | int64 | Sampling interval in seconds |\n| `value` | float32 | Metric value |\n\nFiles are compressed with Zstandard and sorted by `(cluster, hostname, metric,\ntimestamp)` for efficient columnar reads. The `cpu` prefix in the tree is\ntreated as an alias for `hwthread` scope.\n\n### `nats`\n\n```json\n\"nats\": {","originalFile":"# ClusterCockpit Metric Store\n\n[![Build & Test](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-metric-store/actions/workflows/test.yml)\n\nThe cc-metric-store provides a simple in-memory time series database for storing\nmetrics of cluster nodes at preconfigured intervals. It is meant to be used as\npart of the [ClusterCockpit suite](https://github.com/ClusterCockpit). As all\ndata is kept in-memory, accessing it is very fast. It also provides topology aware\naggregations over time _and_ nodes/sockets/cpus.\n\nThere are major limitations: Data only gets written to disk at periodic\ncheckpoints (or via WAL on every write), not immediately as it is received.\nOnly the configured retention window is kept in memory.\n\nThe storage engine is provided by the\n[cc-backend](https://github.com/ClusterCockpit/cc-backend) package\n(`cc-backend/pkg/metricstore`). This repository provides the HTTP API wrapper.\n\nThe [NATS.io](https://nats.io/) based writing endpoint and the HTTP write\nendpoint both consume messages in [this format of the InfluxDB line\nprotocol](https://github.com/ClusterCockpit/cc-specifications/blob/master/metrics/lineprotocol_alternative.md).\n\n## Building\n\n`cc-metric-store` can be built using the provided `Makefile`.\nIt supports the following targets:\n\n- `make`: Build the application, copy an example configuration file and generate\n checkpoint folders if required.\n- `make clean`: Clean the golang build cache and application binary\n- `make distclean`: In addition to the clean target also remove the `./var`\n folder and `config.json`\n- `make swagger`: Regenerate the Swagger files from the source comments.\n- `make test`: Run tests and basic checks (`go build`, `go vet`, `go test`).\n\n## Running\n\n```sh\n./cc-metric-store # Uses ./config.json\n./cc-metric-store -config /path/to/config.json\n./cc-metric-store -dev # Enable Swagger UI at /swagger/\n./cc-metric-store -loglevel debug # debug|info|warn (default)|err|crit\n./cc-metric-store -logdate # Add date and time to log messages\n./cc-metric-store -version # Show version information and exit\n./cc-metric-store -gops # Enable gops agent for debugging\n```\n\n## REST API Endpoints\n\nThe REST API is documented in [swagger.json](./api/swagger.json). You can\nexplore and try the REST API using the integrated [SwaggerUI web\ninterface](http://localhost:8082/swagger/) (requires the `-dev` flag).\n\nFor more information on the `cc-metric-store` REST API have a look at the\nClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-rest-api/).\n\nAll endpoints support both trailing-slash and non-trailing-slash variants:\n\n| Method | Path | Description |\n| ------ | ------------------- | -------------------------------------- |\n| `GET` | `/api/query/` | Query metrics with selectors |\n| `POST` | `/api/write/` | Write metrics (InfluxDB line protocol) |\n| `POST` | `/api/free/` | Free buffers up to a timestamp |\n| `GET` | `/api/debug/` | Dump internal state |\n| `GET` | `/api/healthcheck/` | Check node health status |\n\nIf `jwt-public-key` is set in `config.json`, all endpoints require JWT\nauthentication using an Ed25519 key (`Authorization: Bearer <token>`).\n\n## Run tests\n\nSome benchmarks concurrently access the `MemoryStore`, so enabling the\n[Race Detector](https://golang.org/doc/articles/race_detector) might be useful.\nThe benchmarks also work as tests as they do check if the returned values are as\nexpected.\n\n```sh\n# Tests only\ngo test -v ./...\n\n# Benchmarks as well\ngo test -bench=. -race -v ./...\n```\n\n## What are these selectors mentioned in the code?\n\nThe cc-metric-store works as a time-series database and uses the InfluxDB line\nprotocol as input format. Unlike InfluxDB, the data is indexed by one single\nstrictly hierarchical tree structure. A selector is built out of the tags in the\nInfluxDB line protocol, and can be used to select a node (not in the sense of a\ncompute node, can also be a socket, cpu, ...) in that tree. The implementation\ncalls those nodes `level` to avoid confusion. It is impossible to access data\nonly by knowing the _socket_ or _cpu_ tag — all higher up levels have to be\nspecified as well.\n\nThis is what the hierarchy currently looks like:\n\n- cluster1\n - host1\n - socket0\n - socket1\n - ...\n - cpu1\n - cpu2\n - cpu3\n - cpu4\n - ...\n - gpu1\n - gpu2\n - host2\n - ...\n- cluster2\n- ...\n\nExample selectors:\n\n1. `[\"cluster1\", \"host1\", \"cpu0\"]`: Select only the cpu0 of host1 in cluster1\n2. `[\"cluster1\", \"host1\", [\"cpu4\", \"cpu5\", \"cpu6\", \"cpu7\"]]`: Select only CPUs 4-7 of host1 in cluster1\n3. `[\"cluster1\", \"host1\"]`: Select the complete node. If querying for a CPU-specific metric such as flops, all CPUs are implied\n\n## Config file\n\nThe config file is a JSON document with four top-level sections.\n\n### `main`\n\n```json\n\"main\": {\n \"addr\": \"0.0.0.0:8082\",\n \"https-cert-file\": \"\",\n \"https-key-file\": \"\",\n \"jwt-public-key\": \"<base64-encoded Ed25519 public key>\",\n \"user\": \"\",\n \"group\": \"\",\n \"backend-url\": \"\"\n}\n```\n\n- `addr`: Address and port to listen on (default: `0.0.0.0:8082`)\n- `https-cert-file` / `https-key-file`: Paths to TLS certificate/key for HTTPS\n- `jwt-public-key`: Base64-encoded Ed25519 public key for JWT authentication. If empty, no auth is required.\n- `user` / `group`: Drop privileges to this user/group after startup\n- `backend-url`: Optional URL of a cc-backend instance used as node provider\n\n### `metrics`\n\nPer-metric configuration. Each key is the metric name:\n\n```json\n\"metrics\": {\n \"cpu_load\": { \"frequency\": 60, \"aggregation\": null },\n \"flops_any\": { \"frequency\": 60, \"aggregation\": \"sum\" },\n \"cpu_user\": { \"frequency\": 60, \"aggregation\": \"avg\" }\n}\n```\n\n- `frequency`: Sampling interval in seconds\n- `aggregation`: How to aggregate sub-level data: `\"sum\"`, `\"avg\"`, or `null` (no aggregation)\n\n### `metric-store`\n\n```json\n\"metric-store\": {\n \"checkpoints\": {\n \"file-format\": \"wal\",\n \"interval\": \"12h\",\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"48h\",\n \"num-workers\": 0,\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n { \"subscribe-to\": \"hpc-nats\", \"cluster-tag\": \"fritz\" }\n ]\n}\n```\n\n- `checkpoints.file-format`: Checkpoint format: `\"json\"` (default, human-readable) or `\"wal\"` (binary WAL, crash-safe). See [Checkpoint formats](#checkpoint-formats) below.\n- `checkpoints.interval`: How often to flush the in-memory state to a checkpoint snapshot\n- `checkpoints.directory`: Root directory for checkpoint files (organized as `<dir>/<cluster>/<host>/`)\n- `memory-cap`: Approximate memory cap in MB for metric buffers\n- `retention-in-memory`: How long to keep data in memory (e.g. `\"48h\"`)\n- `num-workers`: Number of parallel workers for checkpoint/archive I/O (0 = auto, capped at 10)\n- `cleanup.mode`: What to do with data older than `retention-in-memory`: `\"archive\"` (write Parquet) or `\"delete\"`\n- `cleanup.interval`: How often to run the cleanup sweep\n- `cleanup.directory`: Root directory for Parquet archive files (required when `mode` is `\"archive\"`)\n- `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag\n\n### `nats`\n\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\nNATS connection is optional. If not configured, only the HTTP write endpoint is available.\n\nFor more information see the ClusterCockpit documentation [website](https://clustercockpit.org/docs/reference/cc-metric-store/ccms-configuration/).\n\n## Test the complete setup (excluding cc-backend itself)\n\nThere are two ways for sending data to the cc-metric-store, both of which are\nsupported by the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector).\nThis example uses NATS; the alternative is to use HTTP.\n\n```sh\n# Only needed once, downloads the docker image\ndocker pull nats:latest\n\n# Start the NATS server\ndocker run -p 4222:4222 -ti nats:latest\n```\n\nSecond, build and start the\n[cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector)\nusing the following as Sink-Config:\n\n```json\n{\n \"type\": \"nats\",\n \"host\": \"localhost\",\n \"port\": \"4222\",\n \"database\": \"updates\"\n}\n```\n\nThird, build and start the metric store. For this example here, the\n`config.json` file already in the repository should work just fine.\n\n```sh\n# Assuming you have a clone of this repo in ./cc-metric-store:\ncd cc-metric-store\nmake\n./cc-metric-store\n```\n\nAnd finally, use the API to fetch some data. The API is protected by JWT based\nauthentication if `jwt-public-key` is set in `config.json`. You can use this JWT\nfor testing:\n`REDACTED`\n\n```sh\nJWT=\"REDACTED\"\n\n# If the collector and store and nats-server have been running for at least 60 seconds on the same host:\ncurl -H \"Authorization: Bearer $JWT\" \\\n \"http://localhost:8082/api/query/\" \\\n -d '{\n \"cluster\": \"testcluster\",\n \"from\": '\"$(expr $(date +%s) - 60)\"',\n \"to\": '\"$(date +%s)\"',\n \"queries\": [{ \"metric\": \"cpu_load\", \"host\": \"'\"$(hostname)\"'\" }]\n }'\n```\n\nFor debugging, the debug endpoint dumps the current content to stdout:\n\n```sh\nJWT=\"REDACTED\"\n\n# Dump everything\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/\"\n\n# Dump a specific selector (colon-separated path)\ncurl -H \"Authorization: Bearer $JWT\" \"http://localhost:8082/api/debug/?selector=testcluster:host1\"\n```\n","structuredPatch":[{"oldStart":191,"oldLines":6,"newStart":191,"newLines":62,"lines":[" - `cleanup.directory`: Root directory for Parquet archive files (required when `mode` is `\"archive\"`)"," - `nats-subscriptions`: List of NATS subjects to subscribe to, with associated cluster tag"," ","+### Checkpoint formats","+","+The `checkpoints.file-format` field controls how in-memory data is persisted to disk.","+","+**`\"json\"` (default)** — human-readable JSON snapshots written periodically. Each","+snapshot is stored as `<dir>/<cluster>/<host>/<timestamp>.json` and contains the","+full metric hierarchy. Easy to inspect and recover manually, but larger on disk","+and slower to write.","+","+**`\"wal\"`** — binary Write-Ahead Log format designed for crash safety. Two file","+types are used per host:","+","+- `current.wal` — append-only binary log. Every incoming data point is appended","+ immediately (magic `0xCC1DA7A1`, 4-byte CRC32 per record). Truncated trailing","+ records from unclean shutdowns are silently skipped on restart.","+- `<timestamp>.bin` — binary snapshot written at each checkpoint interval","+ (magic `0xCC5B0001`). Contains the complete hierarchical metric state","+ column-by-column. Written atomically via a `.tmp` rename.","+","+On startup the most recent `.bin` snapshot is loaded, then any remaining WAL","+entries are replayed on top. The WAL is rotated (old file deleted, new one","+started) after each successful snapshot.","+","+Choose `\"wal\"` when crash safety is required. Choose `\"json\"` when human","+inspection of checkpoint files is more important.","+","+### Parquet archive","+","+When `cleanup.mode` is `\"archive\"`, data that ages out of the in-memory","+retention window is written to [Apache Parquet](https://parquet.apache.org/)","+files before being freed. Files are organized as:","+","+```","+<cleanup.directory>/","+ <cluster>/","+ <timestamp>.parquet","+```","+","+One Parquet file is produced per cluster per cleanup run, consolidating all","+hosts. Rows use a long (tidy) schema:","+","+| Column | Type | Description |","+|-------------|---------|----------------------------------------------|","+| `cluster` | string | Cluster name |","+| `hostname` | string | Host name |","+| `metric` | string | Metric name |","+| `scope` | string | Hardware scope (`node`, `socket`, `core`, `hwthread`, `accelerator`, …) |","+| `scope_id` | string | Numeric ID within the scope (e.g. `\"0\"`) |","+| `timestamp` | int64 | Unix timestamp (seconds) |","+| `frequency` | int64 | Sampling interval in seconds |","+| `value` | float32 | Metric value |","+","+Files are compressed with Zstandard and sorted by `(cluster, hostname, metric,","+timestamp)` for efficient columnar reads. The `cpu` prefix in the tree is","+treated as an alias for `hwthread` scope.","+"," ### `nats`"," "," ```json"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f1e60d4c-57ae-4cd1-9037-7240b665bf44"}
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