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{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"a07249db-cd28-4eb2-a441-8f228163b66c","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01R9iKxywLfkhVoPdej1fSMR","type":"message","role":"assistant","content":[{"type":"text","text":"I'll explore the codebase to understand the resampling options for metric data."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3209,"cache_creation_input_tokens":8183,"cache_read_input_tokens":16310,"output_tokens":525,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8183,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":3209,"output_tokens":525,"cache_read_input_tokens":16310,"cache_creation_input_tokens":8183,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8183},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHnZkr6vxKpGGKK8bk6","type":"assistant","uuid":"249e19e4-bb8b-4a87-a850-d445300f25c7","timestamp":"2026-06-18T06:57:32.764Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"249e19e4-bb8b-4a87-a850-d445300f25c7","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01R9iKxywLfkhVoPdej1fSMR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jn5wMNvFxjpd13G1JMQHbH","name":"Agent","input":{"description":"Find resampling code and config","prompt":"Search the cc-backend repository (at /Users/jan/prg/ClusterCockpit/cc-backend) for everything related to \"resampling\" or \"resample\" of metric data. I need a comprehensive analysis.\n\nFind and report:\n1. All Go source files that implement resampling logic (function names, file paths, line numbers, what each does)\n2. The resampling algorithm(s) used (e.g. simple averaging, LTTB/largest-triangle-three-buckets, etc.)\n3. How resampling is configured — config struct fields, config.json keys, default values. Look for a \"resampling\" or \"resolutions\" section in config schema.\n4. Where resampling is triggered in the request/query flow (REST, GraphQL, metricstore query path)\n5. Any frontend (web/frontend) code referencing resampling/resolution\n6. Config schema files (look in internal/config or pkg/schema, JSON schema definitions)\n\nReport concrete file paths, line numbers, code snippets, struct definitions, and config keys. Be thorough — grep for \"resampl\", \"resolution\", \"Resolution\", \"lttb\", \"LTTB\", \"Resampl\".","subagent_type":"Explore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3209,"cache_creation_input_tokens":8183,"cache_read_input_tokens":16310,"output_tokens":525,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8183,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":3209,"output_tokens":525,"cache_read_input_tokens":16310,"cache_creation_input_tokens":8183,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8183},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHnZkr6vxKpGGKK8bk6","type":"assistant","uuid":"ae0c2128-e75f-431d-b4a3-f3ae1c113aa3","timestamp":"2026-06-18T06:57:38.566Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"ae0c2128-e75f-431d-b4a3-f3ae1c113aa3","isSidechain":false,"promptId":"c4736552-28c8-477c-83ed-4333bf8e0fe3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jn5wMNvFxjpd13G1JMQHbH","type":"tool_result","content":[{"type":"text","text":"Now I have comprehensive information. Let me compile the final report:\n\n## Comprehensive Resampling Analysis of cc-backend Repository\n\nI've completed a thorough search of the cc-backend codebase for resampling and resolution-related code. Here's my detailed analysis:\n\n### 1. Resampling Implementation Files\n\n#### Core Resampling Logic:\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go`** (lines 1-50)\n - `TargetPointsForPolicy(policy ResamplePolicy) int` - Maps policy strings to target data point counts\n - \"low\" → 200 points\n - \"medium\" → 500 points\n - \"high\" → 1000 points\n - `ComputeResolution(duration int64, frequency int64, targetPoints int) int` - Calculates resampling resolution in seconds\n - Formula: `resolution = ceil(ceil(duration / targetPoints) / frequency) * frequency`\n - Returns 0 if no resampling needed (total points ≤ targetPoints)\n\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go`** - Unit tests with examples\n - 24h job @ 60s frequency with \"low\" policy → 480s resolution\n - 24h job @ 60s frequency with \"medium\" policy → 180s resolution\n - 24h job @ 60s frequency with \"high\" policy → 120s resolution\n\n#### Resolution Resolution (Policy→Actual Resolution):\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`** (lines 1-146)\n - `resolveResolutionFromPolicy(ctx, duration, cluster, metrics) *int` - Gets user's UI config preference and computes resolution\n - `resolveResolutionFromDefaultPolicy(duration, cluster, metrics) *int` - Falls back to global config default\n - `resolveResampleAlgo(ctx, resampleAlgo) string` - Resolves resampling algorithm name (explicit param → user preference → global default)\n - `smallestFrequency(cluster, metrics) int` - Finds smallest metric timestep among requested metrics\n\n#### Data Loading & Resampling Application:\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 1-450+)\n - `LoadData(job, metrics, scopes, ctx, resolution, resampleAlgo)` - Main entry point\n - For running jobs: fetches from metric store (line 100-128)\n - For archived jobs: loads from archive, applies resampling (lines 131-158)\n - Line 143: `resampleFn, rfErr := resampler.GetResampler(resampleAlgo)` - Gets resampler function from cc-lib\n - Line 151: `v_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))` - Applies resampling to each series\n - `LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx, resampleAlgo)` - Node metrics with resampling (lines 415-449)\n\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`** (lines 704-772)\n - `Read(selector, metric, from, to, resolution, resampleAlgo)` - Memory store query path\n - Line 762: `resampleFn, rfErr := resampler.GetResampler(resampleAlgo)` - Gets resampler\n - Line 766: `data, resolution, err = resampleFn(data, minfo.Frequency, resolution)` - Applies resampling\n\n### 2. Resampling Algorithms\n\n**Three algorithms supported** (defined in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/model/models_gen.go`, lines 331-387):\n\n```go\nconst (\n ResampleAlgoLttb ResampleAlgo = \"LTTB\" // Largest Triangle Three Buckets\n ResampleAlgoAverage ResampleAlgo = \"AVERAGE\" // Simple averaging\n ResampleAlgoSimple ResampleAlgo = \"SIMPLE\" // Simple downsampling\n)\n```\n\n- **LTTB (default)**: Largest-Triangle-Three-Buckets - preserves visual data shape\n- **AVERAGE**: Simple arithmetic averaging of data points\n- **SIMPLE**: Basic downsampling\n\nThe actual algorithm implementations are in the `cc-lib/v2/resampler` package (external dependency, not in cc-backend repo). The cc-backend calls `resampler.GetResampler(algoName)` to get the function and applies it via:\n```go\ndata, resolution, err = resampleFn(data, frequency, resolution)\n```\n\n### 3. Configuration\n\n#### Configuration Structure (in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go`):\n\n```go\ntype ResampleConfig struct {\n // Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n DefaultPolicy string `json:\"default-policy\"`\n // Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n DefaultAlgo string `json:\"default-algo\"`\n // Policy-derived target point count (set dynamically from user preference, not from config.json)\n TargetPoints int `json:\"targetPoints,omitempty\"`\n}\n```\n\n#### Config Schema (lines 91-106 in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go`):\n```json\n\"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"default-policy\": {\n \"description\": \"Default resample policy when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"low\", \"medium\", \"high\"]\n },\n \"default-algo\": {\n \"description\": \"Default resample algorithm when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"lttb\", \"average\", \"simple\"]\n }\n }\n}\n```\n\n#### Default Config Values:\n- **Policy**: \"medium\" (default, can be overridden)\n- **Algorithm**: \"lttb\" (Largest Triangle Three Buckets)\n\nSee example configs:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/config.json` (lines 22-25)\n- `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 16-19)\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go` (lines 26-28)\n\n### 4. Request/Query Flow - Where Resampling Is Triggered\n\n#### GraphQL Query Resolvers (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`):\n\n**JobMetrics Query** (lines 501-542):\n```go\nfunc (r *queryResolver) JobMetrics(\n ctx context.Context,\n id string,\n metrics []string,\n scopes []schema.MetricScope,\n resolution *int, // Optional explicit resolution parameter\n resampleAlgo *model.ResampleAlgo // Optional algorithm override\n) ([]*model.JobMetricWithName, error)\n```\n- Flow: explicit param → user policy → global config → 0 (no resampling)\n- Line 524: `metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)`\n\n**NodeMetricsList Query** (lines 886-960):\n```go\nfunc (r *queryResolver) NodeMetricsList(\n ctx context.Context,\n cluster, subCluster, stateFilter, nodeFilter string,\n scopes []schema.MetricScope,\n metrics []string,\n from, to time.Time,\n page *model.PageRequest,\n resolution *int,\n resampleAlgo *model.ResampleAlgo\n) (*model.NodesResultList, error)\n```\n- Flow: explicit param → user policy → global config → 0 (no resampling)\n- Line 923: `metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)`\n\n#### User Preference Storage:\n- User UI config keys (from `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`):\n - `plotConfiguration_resamplePolicy` - User's preferred policy (low/medium/high)\n - `plotConfiguration_resampleAlgo` - User's preferred algorithm (lttb/average/simple)\n- Retrieved via: `repository.GetUserFromContext(ctx)` → `GetUIConfig(user)`\n\n#### Route Setup:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go` (lines 596-627)\n - `resamplingForUser(conf)` function handles policy → targetPoints conversion for frontend\n\n### 5. Frontend Code\n\nNo explicit resampling logic in frontend TypeScript/JavaScript files. The frontend:\n- Sends GraphQL queries with optional `resolution` and `resampleAlgo` parameters\n- Receives pre-resampled data from the backend\n- User preferences stored in UI config (plotConfiguration_resamplePolicy, plotConfiguration_resampleAlgo)\n- Resampling is configured at the user settings level but applied server-side\n\n### 6. Configuration Files\n\n**JSON Config Schema**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 91-106)\n\n**Example Configs**:\n1. `/Users/jan/prg/ClusterCockpit/cc-backend/config.json` - Development config\n2. `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` - Production example\n3. `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go` - Generated default config\n\n**Config Keys in \"main\" section**:\n```json\n\"resampling\": {\n \"default-policy\": \"medium\", // Can be: \"low\", \"medium\", \"high\"\n \"default-algo\": \"lttb\" // Can be: \"lttb\", \"average\", \"simple\"\n}\n```\n\n### Summary Table\n\n| Component | File Path | Lines | Functionality |\n|-----------|-----------|-------|--------------|\n| Policy → Points | `internal/metricdispatch/resamplepolicy.go` | 18-29 | Map policy to target point count |\n| Resolution Calc | `internal/metricdispatch/resamplepolicy.go` | 34-49 | Calculate resolution from duration/freq/target |\n| Resolution Resolution | `internal/graph/resample.go` | 21-115 | Resolve final resolution: explicit→user→global→0 |\n| Data Loading (Jobs) | `internal/metricdispatch/dataLoader.go` | 86-236 | Load job data with resampling for archived jobs |\n| Data Loading (Nodes) | `internal/metricdispatch/dataLoader.go` | 415-449 | Load node list data with resampling |\n| Memory Store Query | `pkg/metricstore/metricstore.go` | 704-772 | Apply resampling to in-memory metric data |\n| GraphQL JobMetrics | `internal/graph/schema.resolvers.go` | 501-542 | Query resolver for job metrics with resampling |\n| GraphQL NodeMetricsList | `internal/graph/schema.resolvers.go` | 886-960 | Query resolver for node list with resampling |\n| Model Definition | `internal/graph/model/models_gen.go` | 331-387 | ResampleAlgo enum (LTTB, AVERAGE, SIMPLE) |\n| Config Schema | `internal/config/schema.go` | 91-106 | JSON schema for resampling config |\n| Config Struct | `internal/config/config.go` | 120-127 | ResampleConfig struct definition |\n| Config Init | `cmd/cc-backend/init.go` | 26-28 | Default resampling config |\n\nThe resampling system is **policy-driven**, allowing users and administrators to control data point density through three policies (low/medium/high) that map to specific target point counts, with configurable algorithms for how resampling is performed."}]}]},"uuid":"a2dcbf78-d164-4661-a19f-95af3ad02718","timestamp":"2026-06-18T06:59:03.684Z","toolUseResult":{"status":"completed","prompt":"Search the cc-backend repository (at /Users/jan/prg/ClusterCockpit/cc-backend) for everything related to \"resampling\" or \"resample\" of metric data. I need a comprehensive analysis.\n\nFind and report:\n1. All Go source files that implement resampling logic (function names, file paths, line numbers, what each does)\n2. The resampling algorithm(s) used (e.g. simple averaging, LTTB/largest-triangle-three-buckets, etc.)\n3. How resampling is configured — config struct fields, config.json keys, default values. Look for a \"resampling\" or \"resolutions\" section in config schema.\n4. Where resampling is triggered in the request/query flow (REST, GraphQL, metricstore query path)\n5. Any frontend (web/frontend) code referencing resampling/resolution\n6. Config schema files (look in internal/config or pkg/schema, JSON schema definitions)\n\nReport concrete file paths, line numbers, code snippets, struct definitions, and config keys. Be thorough — grep for \"resampl\", \"resolution\", \"Resolution\", \"lttb\", \"LTTB\", \"Resampl\".","agentId":"a3806a76add7baff6","agentType":"Explore","content":[{"type":"text","text":"Now I have comprehensive information. Let me compile the final report:\n\n## Comprehensive Resampling Analysis of cc-backend Repository\n\nI've completed a thorough search of the cc-backend codebase for resampling and resolution-related code. Here's my detailed analysis:\n\n### 1. Resampling Implementation Files\n\n#### Core Resampling Logic:\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go`** (lines 1-50)\n - `TargetPointsForPolicy(policy ResamplePolicy) int` - Maps policy strings to target data point counts\n - \"low\" → 200 points\n - \"medium\" → 500 points\n - \"high\" → 1000 points\n - `ComputeResolution(duration int64, frequency int64, targetPoints int) int` - Calculates resampling resolution in seconds\n - Formula: `resolution = ceil(ceil(duration / targetPoints) / frequency) * frequency`\n - Returns 0 if no resampling needed (total points ≤ targetPoints)\n\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy_test.go`** - Unit tests with examples\n - 24h job @ 60s frequency with \"low\" policy → 480s resolution\n - 24h job @ 60s frequency with \"medium\" policy → 180s resolution\n - 24h job @ 60s frequency with \"high\" policy → 120s resolution\n\n#### Resolution Resolution (Policy→Actual Resolution):\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`** (lines 1-146)\n - `resolveResolutionFromPolicy(ctx, duration, cluster, metrics) *int` - Gets user's UI config preference and computes resolution\n - `resolveResolutionFromDefaultPolicy(duration, cluster, metrics) *int` - Falls back to global config default\n - `resolveResampleAlgo(ctx, resampleAlgo) string` - Resolves resampling algorithm name (explicit param → user preference → global default)\n - `smallestFrequency(cluster, metrics) int` - Finds smallest metric timestep among requested metrics\n\n#### Data Loading & Resampling Application:\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 1-450+)\n - `LoadData(job, metrics, scopes, ctx, resolution, resampleAlgo)` - Main entry point\n - For running jobs: fetches from metric store (line 100-128)\n - For archived jobs: loads from archive, applies resampling (lines 131-158)\n - Line 143: `resampleFn, rfErr := resampler.GetResampler(resampleAlgo)` - Gets resampler function from cc-lib\n - Line 151: `v_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))` - Applies resampling to each series\n - `LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, resolution, from, to, ctx, resampleAlgo)` - Node metrics with resampling (lines 415-449)\n\n- **`/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go`** (lines 704-772)\n - `Read(selector, metric, from, to, resolution, resampleAlgo)` - Memory store query path\n - Line 762: `resampleFn, rfErr := resampler.GetResampler(resampleAlgo)` - Gets resampler\n - Line 766: `data, resolution, err = resampleFn(data, minfo.Frequency, resolution)` - Applies resampling\n\n### 2. Resampling Algorithms\n\n**Three algorithms supported** (defined in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/model/models_gen.go`, lines 331-387):\n\n```go\nconst (\n ResampleAlgoLttb ResampleAlgo = \"LTTB\" // Largest Triangle Three Buckets\n ResampleAlgoAverage ResampleAlgo = \"AVERAGE\" // Simple averaging\n ResampleAlgoSimple ResampleAlgo = \"SIMPLE\" // Simple downsampling\n)\n```\n\n- **LTTB (default)**: Largest-Triangle-Three-Buckets - preserves visual data shape\n- **AVERAGE**: Simple arithmetic averaging of data points\n- **SIMPLE**: Basic downsampling\n\nThe actual algorithm implementations are in the `cc-lib/v2/resampler` package (external dependency, not in cc-backend repo). The cc-backend calls `resampler.GetResampler(algoName)` to get the function and applies it via:\n```go\ndata, resolution, err = resampleFn(data, frequency, resolution)\n```\n\n### 3. Configuration\n\n#### Configuration Structure (in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go`):\n\n```go\ntype ResampleConfig struct {\n // Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n DefaultPolicy string `json:\"default-policy\"`\n // Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n DefaultAlgo string `json:\"default-algo\"`\n // Policy-derived target point count (set dynamically from user preference, not from config.json)\n TargetPoints int `json:\"targetPoints,omitempty\"`\n}\n```\n\n#### Config Schema (lines 91-106 in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go`):\n```json\n\"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"default-policy\": {\n \"description\": \"Default resample policy when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"low\", \"medium\", \"high\"]\n },\n \"default-algo\": {\n \"description\": \"Default resample algorithm when no user preference is set.\",\n \"type\": \"string\",\n \"enum\": [\"lttb\", \"average\", \"simple\"]\n }\n }\n}\n```\n\n#### Default Config Values:\n- **Policy**: \"medium\" (default, can be overridden)\n- **Algorithm**: \"lttb\" (Largest Triangle Three Buckets)\n\nSee example configs:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/config.json` (lines 22-25)\n- `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 16-19)\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go` (lines 26-28)\n\n### 4. Request/Query Flow - Where Resampling Is Triggered\n\n#### GraphQL Query Resolvers (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`):\n\n**JobMetrics Query** (lines 501-542):\n```go\nfunc (r *queryResolver) JobMetrics(\n ctx context.Context,\n id string,\n metrics []string,\n scopes []schema.MetricScope,\n resolution *int, // Optional explicit resolution parameter\n resampleAlgo *model.ResampleAlgo // Optional algorithm override\n) ([]*model.JobMetricWithName, error)\n```\n- Flow: explicit param → user policy → global config → 0 (no resampling)\n- Line 524: `metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)`\n\n**NodeMetricsList Query** (lines 886-960):\n```go\nfunc (r *queryResolver) NodeMetricsList(\n ctx context.Context,\n cluster, subCluster, stateFilter, nodeFilter string,\n scopes []schema.MetricScope,\n metrics []string,\n from, to time.Time,\n page *model.PageRequest,\n resolution *int,\n resampleAlgo *model.ResampleAlgo\n) (*model.NodesResultList, error)\n```\n- Flow: explicit param → user policy → global config → 0 (no resampling)\n- Line 923: `metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx, algoName)`\n\n#### User Preference Storage:\n- User UI config keys (from `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go`):\n - `plotConfiguration_resamplePolicy` - User's preferred policy (low/medium/high)\n - `plotConfiguration_resampleAlgo` - User's preferred algorithm (lttb/average/simple)\n- Retrieved via: `repository.GetUserFromContext(ctx)` → `GetUIConfig(user)`\n\n#### Route Setup:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go` (lines 596-627)\n - `resamplingForUser(conf)` function handles policy → targetPoints conversion for frontend\n\n### 5. Frontend Code\n\nNo explicit resampling logic in frontend TypeScript/JavaScript files. The frontend:\n- Sends GraphQL queries with optional `resolution` and `resampleAlgo` parameters\n- Receives pre-resampled data from the backend\n- User preferences stored in UI config (plotConfiguration_resamplePolicy, plotConfiguration_resampleAlgo)\n- Resampling is configured at the user settings level but applied server-side\n\n### 6. Configuration Files\n\n**JSON Config Schema**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 91-106)\n\n**Example Configs**:\n1. `/Users/jan/prg/ClusterCockpit/cc-backend/config.json` - Development config\n2. `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` - Production example\n3. `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/init.go` - Generated default config\n\n**Config Keys in \"main\" section**:\n```json\n\"resampling\": {\n \"default-policy\": \"medium\", // Can be: \"low\", \"medium\", \"high\"\n \"default-algo\": \"lttb\" // Can be: \"lttb\", \"average\", \"simple\"\n}\n```\n\n### Summary Table\n\n| Component | File Path | Lines | Functionality |\n|-----------|-----------|-------|--------------|\n| Policy → Points | `internal/metricdispatch/resamplepolicy.go` | 18-29 | Map policy to target point count |\n| Resolution Calc | `internal/metricdispatch/resamplepolicy.go` | 34-49 | Calculate resolution from duration/freq/target |\n| Resolution Resolution | `internal/graph/resample.go` | 21-115 | Resolve final resolution: explicit→user→global→0 |\n| Data Loading (Jobs) | `internal/metricdispatch/dataLoader.go` | 86-236 | Load job data with resampling for archived jobs |\n| Data Loading (Nodes) | `internal/metricdispatch/dataLoader.go` | 415-449 | Load node list data with resampling |\n| Memory Store Query | `pkg/metricstore/metricstore.go` | 704-772 | Apply resampling to in-memory metric data |\n| GraphQL JobMetrics | `internal/graph/schema.resolvers.go` | 501-542 | Query resolver for job metrics with resampling |\n| GraphQL NodeMetricsList | `internal/graph/schema.resolvers.go` | 886-960 | Query resolver for node list with resampling |\n| Model Definition | `internal/graph/model/models_gen.go` | 331-387 | ResampleAlgo enum (LTTB, AVERAGE, SIMPLE) |\n| Config Schema | `internal/config/schema.go` | 91-106 | JSON schema for resampling config |\n| Config Struct | `internal/config/config.go` | 120-127 | ResampleConfig struct definition |\n| Config Init | `cmd/cc-backend/init.go` | 26-28 | Default resampling config |\n\nThe resampling system is **policy-driven**, allowing users and administrators to control data point density through three policies (low/medium/high) that map to specific target point counts, with configurable algorithms for how resampling is performed."}],"resolvedModel":"claude-haiku-4-5-20251001","totalDurationMs":84266,"totalTokens":49037,"totalToolUseCount":47,"usage":{"input_tokens":5,"cache_creation_input_tokens":1314,"cache_read_input_tokens":44561,"output_tokens":3157,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1314},"inference_geo":"not_available","iterations":[{"input_tokens":5,"output_tokens":3157,"cache_read_input_tokens":44561,"cache_creation_input_tokens":1314,"cache_creation":{"ephemeral_5m_input_tokens":1314,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":20,"searchCount":0,"bashCount":27,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}},"sourceToolAssistantUUID":"ae0c2128-e75f-431d-b4a3-f3ae1c113aa3","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"a2dcbf78-d164-4661-a19f-95af3ad02718","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01A2LXwQxbTJidsGMtQ8PSZZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8099,"cache_read_input_tokens":24493,"output_tokens":401,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8099,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":401,"cache_read_input_tokens":24493,"cache_creation_input_tokens":8099,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8099},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHuSTW6TLYJhfgNLBVs","type":"assistant","uuid":"891c2b1a-a8c3-45ea-9674-84213cac0c81","timestamp":"2026-06-18T06:59:07.532Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"891c2b1a-a8c3-45ea-9674-84213cac0c81","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01A2LXwQxbTJidsGMtQ8PSZZ","type":"message","role":"assistant","content":[{"type":"text","text":"Let me verify a couple of the key details directly, since the branch name (`feature/526-average-resample`) suggests recent changes around the AVERAGE algorithm."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8099,"cache_read_input_tokens":24493,"output_tokens":401,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8099,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":401,"cache_read_input_tokens":24493,"cache_creation_input_tokens":8099,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8099},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHuSTW6TLYJhfgNLBVs","type":"assistant","uuid":"3ab7aa77-7d32-47fa-bf0e-4257459eccc4","timestamp":"2026-06-18T06:59:08.400Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"3ab7aa77-7d32-47fa-bf0e-4257459eccc4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01A2LXwQxbTJidsGMtQ8PSZZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q895jR7KBmm8CZpQFPa3Mm","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8099,"cache_read_input_tokens":24493,"output_tokens":401,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8099,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":401,"cache_read_input_tokens":24493,"cache_creation_input_tokens":8099,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8099},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHuSTW6TLYJhfgNLBVs","type":"assistant","uuid":"a5eef269-3e6e-4806-9871-9cb596fa513a","timestamp":"2026-06-18T06:59:08.875Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"a5eef269-3e6e-4806-9871-9cb596fa513a","isSidechain":false,"promptId":"c4736552-28c8-477c-83ed-4333bf8e0fe3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q895jR7KBmm8CZpQFPa3Mm","type":"tool_result","content":"1\t// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n2\t// All rights reserved. This file is part of cc-backend.\n3\t// Use of this source code is governed by a MIT-style\n4\t// license that can be found in the LICENSE file.\n5\tpackage metricdispatch\n6\t\n7\timport \"math\"\n8\t\n9\ttype ResamplePolicy string\n10\t\n11\tconst (\n12\t\tResamplePolicyLow ResamplePolicy = \"low\"\n13\t\tResamplePolicyMedium ResamplePolicy = \"medium\"\n14\t\tResamplePolicyHigh ResamplePolicy = \"high\"\n15\t)\n16\t\n17\t// TargetPointsForPolicy returns the target number of data points for a given policy.\n18\tfunc TargetPointsForPolicy(policy ResamplePolicy) int {\n19\t\tswitch policy {\n20\t\tcase ResamplePolicyLow:\n21\t\t\treturn 200\n22\t\tcase ResamplePolicyMedium:\n23\t\t\treturn 500\n24\t\tcase ResamplePolicyHigh:\n25\t\t\treturn 1000\n26\t\tdefault:\n27\t\t\treturn 0\n28\t\t}\n29\t}\n30\t\n31\t// ComputeResolution computes the resampling resolution in seconds for a given\n32\t// job duration, metric frequency, and target point count. Returns 0 if the\n33\t// total number of data points is already at or below targetPoints (no resampling needed).\n34\tfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n35\t\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n36\t\t\treturn 0\n37\t\t}\n38\t\n39\t\ttotalPoints := duration / frequency\n40\t\tif totalPoints <= int64(targetPoints) {\n41\t\t\treturn 0\n42\t\t}\n43\t\n44\t\ttargetRes := math.Ceil(float64(duration) / float64(targetPoints))\n45\t\t// Round up to nearest multiple of frequency\n46\t\tresolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n47\t\n48\t\treturn resolution\n49\t}\n50\t"}]},"uuid":"eb8bf0fa-e2e3-4676-8bda-49f759e03305","timestamp":"2026-06-18T06:59:08.893Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/resamplepolicy.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage metricdispatch\n\nimport \"math\"\n\ntype ResamplePolicy string\n\nconst (\n\tResamplePolicyLow ResamplePolicy = \"low\"\n\tResamplePolicyMedium ResamplePolicy = \"medium\"\n\tResamplePolicyHigh ResamplePolicy = \"high\"\n)\n\n// TargetPointsForPolicy returns the target number of data points for a given policy.\nfunc TargetPointsForPolicy(policy ResamplePolicy) int {\n\tswitch policy {\n\tcase ResamplePolicyLow:\n\t\treturn 200\n\tcase ResamplePolicyMedium:\n\t\treturn 500\n\tcase ResamplePolicyHigh:\n\t\treturn 1000\n\tdefault:\n\t\treturn 0\n\t}\n}\n\n// ComputeResolution computes the resampling resolution in seconds for a given\n// job duration, metric frequency, and target point count. Returns 0 if the\n// total number of data points is already at or below targetPoints (no resampling needed).\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n\tif frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n\t\treturn 0\n\t}\n\n\ttotalPoints := duration / frequency\n\tif totalPoints <= int64(targetPoints) {\n\t\treturn 0\n\t}\n\n\ttargetRes := math.Ceil(float64(duration) / float64(targetPoints))\n\t// Round up to nearest multiple of frequency\n\tresolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n\n\treturn resolution\n}\n","numLines":50,"startLine":1,"totalLines":50}},"sourceToolAssistantUUID":"a5eef269-3e6e-4806-9871-9cb596fa513a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"eb8bf0fa-e2e3-4676-8bda-49f759e03305","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01A2LXwQxbTJidsGMtQ8PSZZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B2EitwK2RaCM9poFLS5os8","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8099,"cache_read_input_tokens":24493,"output_tokens":401,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8099,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":401,"cache_read_input_tokens":24493,"cache_creation_input_tokens":8099,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8099},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHuSTW6TLYJhfgNLBVs","type":"assistant","uuid":"7cb8204f-c3df-452c-840d-a0efe76a9bf2","timestamp":"2026-06-18T06:59:09.336Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"7cb8204f-c3df-452c-840d-a0efe76a9bf2","isSidechain":false,"promptId":"c4736552-28c8-477c-83ed-4333bf8e0fe3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B2EitwK2RaCM9poFLS5os8","type":"tool_result","content":"1\t// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n2\t// All rights reserved. This file is part of cc-backend.\n3\t// Use of this source code is governed by a MIT-style\n4\t// license that can be found in the LICENSE file.\n5\tpackage graph\n6\t\n7\timport (\n8\t\t\"context\"\n9\t\t\"strings\"\n10\t\n11\t\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n12\t\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n13\t\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n14\t\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n15\t\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n16\t)\n17\t\n18\t// resolveResolutionFromPolicy reads the user's resample policy preference and\n19\t// computes a resolution based on job duration and metric frequency. Returns nil\n20\t// if the user has no policy set.\n21\tfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n22\t\tuser := repository.GetUserFromContext(ctx)\n23\t\tif user == nil {\n24\t\t\treturn nil\n25\t\t}\n26\t\n27\t\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n28\t\tif err != nil {\n29\t\t\treturn nil\n30\t\t}\n31\t\n32\t\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n33\t\tif !ok {\n34\t\t\treturn nil\n35\t\t}\n36\t\tpolicyStr, ok := policyVal.(string)\n37\t\tif !ok || policyStr == \"\" {\n38\t\t\treturn nil\n39\t\t}\n40\t\n41\t\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n42\t\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n43\t\tif targetPoints == 0 {\n44\t\t\treturn nil\n45\t\t}\n46\t\n47\t\t// Find the smallest metric frequency across the requested metrics\n48\t\tfrequency := smallestFrequency(cluster, metrics)\n49\t\tif frequency <= 0 {\n50\t\t\treturn nil\n51\t\t}\n52\t\n53\t\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n54\t\treturn &res\n55\t}\n56\t\n57\t// resolveResampleAlgo returns the resampling algorithm name to use, checking\n58\t// the explicit GraphQL parameter first, then the user's preference.\n59\tfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n60\t\tif resampleAlgo != nil {\n61\t\t\treturn strings.ToLower(resampleAlgo.String())\n62\t\t}\n63\t\n64\t\tuser := repository.GetUserFromContext(ctx)\n65\t\tif user == nil {\n66\t\t\treturn \"\"\n67\t\t}\n68\t\n69\t\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n70\t\tif err != nil {\n71\t\t\treturn \"\"\n72\t\t}\n73\t\n74\t\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n75\t\tif ok {\n76\t\t\tif algoStr, ok := algoVal.(string); ok && algoStr != \"\" {\n77\t\t\t\treturn algoStr\n78\t\t\t}\n79\t\t}\n80\t\n81\t\t// Fall back to global default algo\n82\t\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n83\t\t\treturn config.Keys.EnableResampling.DefaultAlgo\n84\t\t}\n85\t\n86\t\treturn \"\"\n87\t}\n88\t\n89\t// resolveResolutionFromDefaultPolicy computes a resolution using the global\n90\t// default policy from config. Returns nil if no policy is configured.\n91\tfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n92\t\tcfg := config.Keys.EnableResampling\n93\t\tif cfg == nil {\n94\t\t\treturn nil\n95\t\t}\n96\t\n97\t\tpolicyStr := cfg.DefaultPolicy\n98\t\tif policyStr == \"\" {\n99\t\t\tpolicyStr = \"medium\"\n100\t\t}\n101\t\n102\t\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n103\t\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n104\t\tif targetPoints == 0 {\n105\t\t\treturn nil\n106\t\t}\n107\t\n108\t\tfrequency := smallestFrequency(cluster, metrics)\n109\t\tif frequency <= 0 {\n110\t\t\treturn nil\n111\t\t}\n112\t\n113\t\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n114\t\treturn &res\n115\t}\n116\t\n117\t// smallestFrequency returns the smallest metric timestep (in seconds) among the\n118\t// requested metrics for the given cluster. Falls back to 0 if nothing is found.\n119\tfunc smallestFrequency(cluster string, metrics []string) int {\n120\t\tcl := archive.GetCluster(cluster)\n121\t\tif cl == nil {\n122\t\t\treturn 0\n123\t\t}\n124\t\n125\t\tminFreq := 0\n126\t\tfor _, mc := range cl.MetricConfig {\n127\t\t\tif len(metrics) > 0 {\n128\t\t\t\tfound := false\n129\t\t\t\tfor _, m := range metrics {\n130\t\t\t\t\tif mc.Name == m {\n131\t\t\t\t\t\tfound = true\n132\t\t\t\t\t\tbreak\n133\t\t\t\t\t}\n134\t\t\t\t}\n135\t\t\t\tif !found {\n136\t\t\t\t\tcontinue\n137\t\t\t\t}\n138\t\t\t}\n139\t\t\tif minFreq == 0 || mc.Timestep < minFreq {\n140\t\t\t\tminFreq = mc.Timestep\n141\t\t\t}\n142\t\t}\n143\t\n144\t\treturn minFreq\n145\t}\n146\t"}]},"uuid":"6851b96e-07ce-4e01-8341-de8dfa26e13e","timestamp":"2026-06-18T06:59:09.350Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/resample.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage graph\n\nimport (\n\t\"context\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n)\n\n// resolveResolutionFromPolicy reads the user's resample policy preference and\n// computes a resolution based on job duration and metric frequency. Returns nil\n// if the user has no policy set.\nfunc resolveResolutionFromPolicy(ctx context.Context, duration int64, cluster string, metrics []string) *int {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn nil\n\t}\n\n\tpolicyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]\n\tif !ok {\n\t\treturn nil\n\t}\n\tpolicyStr, ok := policyVal.(string)\n\tif !ok || policyStr == \"\" {\n\t\treturn nil\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\t// Find the smallest metric frequency across the requested metrics\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// resolveResampleAlgo returns the resampling algorithm name to use, checking\n// the explicit GraphQL parameter first, then the user's preference.\nfunc resolveResampleAlgo(ctx context.Context, resampleAlgo *model.ResampleAlgo) string {\n\tif resampleAlgo != nil {\n\t\treturn strings.ToLower(resampleAlgo.String())\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn \"\"\n\t}\n\n\tconf, err := repository.GetUserCfgRepo().GetUIConfig(user)\n\tif err != nil {\n\t\treturn \"\"\n\t}\n\n\talgoVal, ok := conf[\"plotConfiguration_resampleAlgo\"]\n\tif ok {\n\t\tif algoStr, ok := algoVal.(string); ok && algoStr != \"\" {\n\t\t\treturn algoStr\n\t\t}\n\t}\n\n\t// Fall back to global default algo\n\tif config.Keys.EnableResampling != nil && config.Keys.EnableResampling.DefaultAlgo != \"\" {\n\t\treturn config.Keys.EnableResampling.DefaultAlgo\n\t}\n\n\treturn \"\"\n}\n\n// resolveResolutionFromDefaultPolicy computes a resolution using the global\n// default policy from config. Returns nil if no policy is configured.\nfunc resolveResolutionFromDefaultPolicy(duration int64, cluster string, metrics []string) *int {\n\tcfg := config.Keys.EnableResampling\n\tif cfg == nil {\n\t\treturn nil\n\t}\n\n\tpolicyStr := cfg.DefaultPolicy\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn nil\n\t}\n\n\tfrequency := smallestFrequency(cluster, metrics)\n\tif frequency <= 0 {\n\t\treturn nil\n\t}\n\n\tres := metricdispatch.ComputeResolution(duration, int64(frequency), targetPoints)\n\treturn &res\n}\n\n// smallestFrequency returns the smallest metric timestep (in seconds) among the\n// requested metrics for the given cluster. Falls back to 0 if nothing is found.\nfunc smallestFrequency(cluster string, metrics []string) int {\n\tcl := archive.GetCluster(cluster)\n\tif cl == nil {\n\t\treturn 0\n\t}\n\n\tminFreq := 0\n\tfor _, mc := range cl.MetricConfig {\n\t\tif len(metrics) > 0 {\n\t\t\tfound := false\n\t\t\tfor _, m := range metrics {\n\t\t\t\tif mc.Name == m {\n\t\t\t\t\tfound = true\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t\tif !found {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\t\tif minFreq == 0 || mc.Timestep < minFreq {\n\t\t\tminFreq = mc.Timestep\n\t\t}\n\t}\n\n\treturn minFreq\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"7cb8204f-c3df-452c-840d-a0efe76a9bf2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"b30a7421-721f-43f6-94df-e1818b6ca3a2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01LnuhpXNd22cmiUJJ6QjN4n","type":"message","role":"assistant","content":[{"type":"text","text":"Let me confirm the config struct and key naming, since `resample.go` references `config.Keys.EnableResampling`."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3045,"cache_read_input_tokens":32592,"output_tokens":243,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3045,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":243,"cache_read_input_tokens":32592,"cache_creation_input_tokens":3045,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3045},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHurnj1Kca8248fJEcb","type":"assistant","uuid":"fd2a44f6-7fb8-40b8-89b1-62a63eb660fe","timestamp":"2026-06-18T06:59:12.261Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"fd2a44f6-7fb8-40b8-89b1-62a63eb660fe","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01LnuhpXNd22cmiUJJ6QjN4n","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012W9ghf2z4cUb1hk4cbLFBn","name":"Bash","input":{"command":"grep -rn \"EnableResampling\\|ResampleConfig\\|DefaultAlgo\\|DefaultPolicy\\|resampling\" internal/config/config.go internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3045,"cache_read_input_tokens":32592,"output_tokens":243,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3045,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":243,"cache_read_input_tokens":32592,"cache_creation_input_tokens":3045,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3045},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHurnj1Kca8248fJEcb","type":"assistant","uuid":"35a8302d-46bb-4ff7-8d3f-2984e3e171f4","timestamp":"2026-06-18T06:59:13.536Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"35a8302d-46bb-4ff7-8d3f-2984e3e171f4","isSidechain":false,"promptId":"c4736552-28c8-477c-83ed-4333bf8e0fe3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012W9ghf2z4cUb1hk4cbLFBn","type":"tool_result","content":"internal/config/schema.go:91: \"resampling\": {\ninternal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\ninternal/config/config.go:120:type ResampleConfig struct {\ninternal/config/config.go:122:\tDefaultPolicy string `json:\"default-policy\"`\ninternal/config/config.go:124:\tDefaultAlgo string `json:\"default-algo\"`\ninternal/config/config.go:174:\tif Keys.EnableResampling != nil {\ninternal/config/config.go:175:\t\tpolicy := Keys.EnableResampling.DefaultPolicy","is_error":false}]},"uuid":"76fc4ee0-78fc-4e3a-b812-a5deb0fb4fb7","timestamp":"2026-06-18T06:59:13.595Z","toolUseResult":{"stdout":"internal/config/schema.go:91: \"resampling\": {\ninternal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\ninternal/config/config.go:120:type ResampleConfig struct {\ninternal/config/config.go:122:\tDefaultPolicy string `json:\"default-policy\"`\ninternal/config/config.go:124:\tDefaultAlgo string `json:\"default-algo\"`\ninternal/config/config.go:174:\tif Keys.EnableResampling != nil {\ninternal/config/config.go:175:\t\tpolicy := Keys.EnableResampling.DefaultPolicy","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"35a8302d-46bb-4ff7-8d3f-2984e3e171f4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"76fc4ee0-78fc-4e3a-b812-a5deb0fb4fb7","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01VMtYqNEumN4pgTzkUq3X5w","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LqLYp9gJBV3tFQrW7U9GQw","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","offset":118,"limit":70},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":426,"cache_read_input_tokens":35637,"output_tokens":124,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":426,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":124,"cache_read_input_tokens":35637,"cache_creation_input_tokens":426,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":426},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHvAmxG3TCDCLK2SWpQ","type":"assistant","uuid":"a868bc41-c721-4b51-8ab1-40def2dc655e","timestamp":"2026-06-18T06:59:17.542Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"a868bc41-c721-4b51-8ab1-40def2dc655e","isSidechain":false,"promptId":"c4736552-28c8-477c-83ed-4333bf8e0fe3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LqLYp9gJBV3tFQrW7U9GQw","type":"tool_result","content":"118\t}\n119\t\n120\ttype ResampleConfig struct {\n121\t\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n122\t\tDefaultPolicy string `json:\"default-policy\"`\n123\t\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n124\t\tDefaultAlgo string `json:\"default-algo\"`\n125\t\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n126\t\tTargetPoints int `json:\"targetPoints,omitempty\"`\n127\t}\n128\t\n129\ttype NATSConfig struct {\n130\t\tSubjectJobEvent string `json:\"subject-job-event\"`\n131\t\tSubjectNodeState string `json:\"subject-node-state\"`\n132\t\tJobConcurrency int `json:\"job-concurrency\"`\n133\t\tNodeConcurrency int `json:\"node-concurrency\"`\n134\t}\n135\t\n136\ttype IntRange struct {\n137\t\tFrom int `json:\"from\"`\n138\t\tTo int `json:\"to\"`\n139\t}\n140\t\n141\ttype TimeRange struct {\n142\t\tFrom *time.Time `json:\"from\"`\n143\t\tTo *time.Time `json:\"to\"`\n144\t\tRange string `json:\"range,omitempty\"`\n145\t}\n146\t\n147\ttype FilterRanges struct {\n148\t\tDuration *IntRange `json:\"duration\"`\n149\t\tNumNodes *IntRange `json:\"num-nodes\"`\n150\t\tStartTime *TimeRange `json:\"start-time\"`\n151\t}\n152\t\n153\tvar Keys ProgramConfig = ProgramConfig{\n154\t\tAddr: \"localhost:8080\",\n155\t\tEmbedStaticFiles: true,\n156\t\tDB: \"./var/job.db\",\n157\t\tSessionMaxAge: \"168h\",\n158\t\tStopJobsExceedingWalltime: 0,\n159\t\tShortRunningJobsDuration: 5 * 60,\n160\t\tFooterLinks: FooterLinksConfig{\n161\t\t\tImprint: \"/imprint\",\n162\t\t\tPrivacy: \"/privacy\",\n163\t\t},\n164\t}\n165\t\n166\tfunc Init(mainConfig json.RawMessage) {\n167\t\tValidate(configSchema, mainConfig)\n168\t\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n169\t\tdec.DisallowUnknownFields()\n170\t\tif err := dec.Decode(&Keys); err != nil {\n171\t\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n172\t\t}\n173\t\n174\t\tif Keys.EnableResampling != nil {\n175\t\t\tpolicy := Keys.EnableResampling.DefaultPolicy\n176\t\t\tif policy == \"\" {\n177\t\t\t\tpolicy = \"medium\"\n178\t\t\t}\n179\t\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n180\t\t}\n181\t}\n182\t\n183\tfunc targetPointsForPolicy(policy string) int {\n184\t\tswitch policy {\n185\t\tcase \"low\":\n186\t\t\treturn 200\n187\t\tcase \"medium\":"}]},"uuid":"36fcf7e3-9fef-4910-b8ac-65b90ed329dc","timestamp":"2026-06-18T06:59:17.558Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"}\n\ntype ResampleConfig struct {\n\t// Default resample policy when no user preference is set (\"low\", \"medium\", \"high\")\n\tDefaultPolicy string `json:\"default-policy\"`\n\t// Default resample algorithm when no user preference is set (\"lttb\", \"average\", \"simple\")\n\tDefaultAlgo string `json:\"default-algo\"`\n\t// Policy-derived target point count (set dynamically from user preference, not from config.json)\n\tTargetPoints int `json:\"targetPoints,omitempty\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n\tFooterLinks: FooterLinksConfig{\n\t\tImprint: \"/imprint\",\n\t\tPrivacy: \"/privacy\",\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\tif Keys.EnableResampling != nil {\n\t\tpolicy := Keys.EnableResampling.DefaultPolicy\n\t\tif policy == \"\" {\n\t\t\tpolicy = \"medium\"\n\t\t}\n\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n\t}\n}\n\nfunc targetPointsForPolicy(policy string) int {\n\tswitch policy {\n\tcase \"low\":\n\t\treturn 200\n\tcase \"medium\":","numLines":70,"startLine":118,"totalLines":195}},"sourceToolAssistantUUID":"a868bc41-c721-4b51-8ab1-40def2dc655e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"type":"last-prompt","lastPrompt":"Analyse what resampling options are available for metric data and how they can be configured","leafUuid":"36fcf7e3-9fef-4910-b8ac-65b90ed329dc","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"36fcf7e3-9fef-4910-b8ac-65b90ed329dc","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_015KukggpQxbd9h1i2uoVQED","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1161,"cache_read_input_tokens":36063,"output_tokens":1848,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1161,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1848,"cache_read_input_tokens":36063,"cache_creation_input_tokens":1161,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1161},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHvTjvPVY19eHHMjrRh","type":"assistant","uuid":"17d56294-3568-4e42-8d33-004d8d88ebd4","timestamp":"2026-06-18T06:59:23.529Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"17d56294-3568-4e42-8d33-004d8d88ebd4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_015KukggpQxbd9h1i2uoVQED","type":"message","role":"assistant","content":[{"type":"text","text":"I now have a verified picture. Here's the analysis.\n\n## Resampling of Metric Data in cc-backend\n\nResampling downsamples time-series metric data before sending it to the frontend, so plots stay responsive regardless of job duration or metric frequency. It's a **policy-driven** system: users/admins pick a *density policy*, the backend converts that into a concrete *resolution* (seconds per point) per request, and an *algorithm* decides how points are collapsed.\n\n### The three configurable dimensions\n\n**1. Algorithm** — *how* points are merged. Defined as a GraphQL enum (`internal/graph/model/models_gen.go`):\n\n| Value | Meaning |\n|-------|---------|\n| `LTTB` | Largest-Triangle-Three-Buckets — preserves visual shape (default) |\n| `AVERAGE` | Arithmetic mean per bucket (the focus of this branch, `feature/526-average-resample`) |\n| `SIMPLE` | Plain decimation/downsampling |\n\nImplementations live in the external `cc-lib/v2/resampler` package; cc-backend just calls `resampler.GetResampler(algoName)` and applies the returned function.\n\n**2. Policy** — *how many* points to target (`internal/metricdispatch/resamplepolicy.go:18`):\n\n| Policy | Target points |\n|--------|---------------|\n| `low` | 200 |\n| `medium` | 500 |\n| `high` | 1000 |\n\n**3. Resolution** — derived, not configured directly (`resamplepolicy.go:34`):\n```\ntotalPoints = duration / frequency\nif totalPoints <= targetPoints → 0 (no resampling)\nresolution = ceil(ceil(duration/targetPoints)/frequency) * frequency\n```\nSo resolution is rounded up to a whole multiple of the metric's native timestep. `frequency` is the *smallest* timestep among the requested metrics (`resample.go:119 smallestFrequency`).\n\n### How it's configured\n\n**Admin / global** — `config.json`, in the `resampling` object of the main config (`internal/config/config.go:120`, schema at `internal/config/schema.go:91`):\n\n```json\n\"resampling\": {\n \"default-policy\": \"medium\", // \"low\" | \"medium\" | \"high\"\n \"default-algo\": \"lttb\" // \"lttb\" | \"average\" | \"simple\"\n}\n```\nBoth keys are enum-validated. If the whole `resampling` object is omitted, resampling is effectively disabled (`config.Keys.EnableResampling == nil`). On startup, `config.Init` also calls `resampler.SetMinimumRequiredPoints(...)` from the default policy (`config.go:174`).\n\n**Per-user** — stored in UI config and read at query time (`internal/graph/resample.go`):\n- `plotConfiguration_resamplePolicy`\n- `plotConfiguration_resampleAlgo`\n\n**Per-request** — GraphQL `JobMetrics` / `NodeMetricsList` queries accept optional `resolution: Int` and `resampleAlgo: ResampleAlgo` arguments (`internal/graph/schema.resolvers.go`).\n\n### Resolution precedence (request flow)\n\nFor each request the backend resolves the two knobs independently:\n\n- **Resolution**: explicit query arg → user policy (`resolveResolutionFromPolicy`) → global default policy (`resolveResolutionFromDefaultPolicy`) → `0` (no resampling).\n- **Algorithm**: explicit query arg → user pref → `config…DefaultAlgo` → `\"\"` (`resolveResampleAlgo`, `resample.go:59`).\n\nThe resolved values flow into `metricdispatch.LoadData` / `LoadNodeListData` (`internal/metricdispatch/dataLoader.go`), which applies resampling to **archived** jobs/nodes, and into `pkg/metricstore/metricstore.go:Read` for **running** jobs served from the in-memory store. In both cases: `resampleFn(data, frequency, resolution)`.\n\n### Notes\n\n- The frontend contains **no resampling logic** — it only sets user preferences and passes `resolution`/`resampleAlgo` to GraphQL; all downsampling happens server-side.\n- `ResampleConfig.TargetPoints` is computed at runtime (e.g. `routerConfig/routes.go resamplingForUser`), not set in `config.json`.\n- A `resolution`/policy that yields `totalPoints <= targetPoints` returns `0` → data is passed through untouched.\n\nIf you want, I can dig into the actual `AVERAGE` algorithm behavior in `cc-lib` (the subject of this branch) or trace the `LoadData` resampling loop in detail."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1161,"cache_read_input_tokens":36063,"output_tokens":1848,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1161,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1848,"cache_read_input_tokens":36063,"cache_creation_input_tokens":1161,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1161},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAHvTjvPVY19eHHMjrRh","type":"assistant","uuid":"92a14203-c962-41b1-a21d-07b08713d89c","timestamp":"2026-06-18T06:59:41.591Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"03834c7a-d9c9-4b84-8018-16e413113698","isSidechain":false,"type":"system","subtype":"away_summary","content":"We analyzed how metric resampling works in cc-backend: configurable by algorithm (LTTB/AVERAGE/SIMPLE), policy (low/medium/high), and resolution, set globally, per-user, or per-request. Next, I can examine the AVERAGE algorithm in cc-lib that this branch adds. (disable recaps in /config)","timestamp":"2026-06-18T07:04:48.459Z","uuid":"89f5057c-4c6b-4f7f-80ef-07bcf90023db","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"type":"file-history-snapshot","messageId":"90502bfa-a56d-4a4f-96d3-47ce351d15a8","snapshot":{"messageId":"90502bfa-a56d-4a4f-96d3-47ce351d15a8","trackedFileBackups":{},"timestamp":"2026-06-18T07:26:30.885Z"},"isSnapshotUpdate":false}
{"parentUuid":"89f5057c-4c6b-4f7f-80ef-07bcf90023db","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":"With the current branch the frontend does not show any jobs in the job list. There is a comsole error: Uncaught TypeError: t.resampleConfig.resolutions is not iterable (cannot read property undefined)\n at jobs.js:65:121\n at Wn (jobs.js:1:26455)\n at gt (jobs.js:1:16991)\n at bt (jobs.js:1:17041)\n at Un (jobs.js:1:28557)\n at jobs.js:65:278\n at Wn (jobs.js:1:26455)\n at gt (jobs.js:1:16991)\n at bt (jobs.js:1:17041)\n at Un (jobs.js:1:28557). Fix the problem."},"uuid":"90502bfa-a56d-4a4f-96d3-47ce351d15a8","timestamp":"2026-06-18T07:26:29.994Z","permissionMode":"default","origin":{"kind":"human"},"promptSource":"typed","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"3cc3d850-06d0-481e-8d8e-a7b0f8de44a1","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_015JUnxd9TchuvFGNpxW7tqp","type":"message","role":"assistant","content":[{"type":"text","text":"The error shows the frontend expects `resampleConfig.resolutions` (an array), but the new backend config uses `default-policy`/`default-algo`. Let me find the frontend code and how `resampleConfig` is passed to it."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":56,"cache_creation_input_tokens":238,"cache_read_input_tokens":39072,"output_tokens":340,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":238,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":56,"output_tokens":340,"cache_read_input_tokens":39072,"cache_creation_input_tokens":238,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":238},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAKzsAB6J8f8tyETT8oj","type":"assistant","uuid":"6c13655f-5aae-4d19-af80-67ec4325f9aa","timestamp":"2026-06-18T07:26:34.887Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"680bf8db-6e63-497e-b9f3-928bb24208f7","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GENC5s4LZJVqSR8ThYG6Yg","type":"tool_result","content":"web/web.go:175:\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nweb/web.go:176:\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\nweb/web.go:297:\tResampling *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\nweb/frontend/src/jobs.entrypoint.js:14: ['resampling', resampleConfig]\nweb/frontend/src/systems.entrypoint.js:16: ['resampling', resampleConfig]\nweb/frontend/src/job.entrypoint.js:15: ['resampling', resampleConfig],\nweb/frontend/src/Systems.root.svelte:72: const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\nweb/frontend/src/Systems.root.svelte:73: const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\nweb/frontend/src/Systems.root.svelte:74: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/Systems.root.svelte:162:<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\nweb/frontend/src/Systems.root.svelte:179: {#if resampleConfig}\nweb/frontend/src/Systems.root.svelte:185: {#each resampleResolutions as res}\nweb/frontend/src/job/Metric.svelte:46: const resampleConfig = getContext(\"resampling\") || null;\nweb/frontend/src/job/Metric.svelte:47: const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\nweb/frontend/src/user.entrypoint.js:13: ['resampling', resampleConfig]\nweb/frontend/src/config/admin/Options.svelte:18: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/config/admin/Options.svelte:75:{#if resampleConfig}\nweb/frontend/src/config/admin/Options.svelte:80: <p>Triggered at {resampleConfig.trigger} datapoints.</p>\nweb/frontend/src/config/admin/Options.svelte:81: <p>Configured resolutions: {resampleConfig.resolutions}</p>\nweb/frontend/src/config.entrypoint.js:17: ['resampling', resampleConfig]\nweb/templates/config.tmpl:16: const resampleConfig = {{ .Resampling }};\nweb/frontend/src/generic/plots/MetricPlot.svelte:54: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/generic/plots/MetricPlot.svelte:76: const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\nweb/frontend/src/generic/plots/MetricPlot.svelte:77: const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:78: const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:79: const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:460: if (resampleConfig && !forNode) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:516: if (resampleConfig && !forNode && key === 'x') {\nweb/frontend/src/generic/plots/MetricPlot.svelte:520: if (resampleTargetPoints && !resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:526: } else if (resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:529: newRes = resampleResolutions.reduce(function(prev, curr) {\nweb/templates/monitoring/systems.tmpl:13: const resampleConfig = {{ .Resampling }};\nweb/frontend/src/config/user/PlotRenderOptions.svelte:30: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/config/user/PlotRenderOptions.svelte:251: <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:256: checked={(!config?.plotConfiguration_resamplePolicy && val === \"\") || config?.plotConfiguration_resamplePolicy === val} />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:260: <div id=\"resamplePolicyHelp\" class=\"form-text\">\nweb/frontend/src/config/user/PlotRenderOptions.svelte:294: <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:299: checked={(!config?.plotConfiguration_resampleAlgo && val === \"\") || config?.plotConfiguration_resampleAlgo === val} />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:303: <div id=\"resampleAlgoHelp\" class=\"form-text\">\nweb/frontend/src/generic/JobList.svelte:107: const resampleConfig = $derived(initialized ? getContext(\"resampling\") : null);\nweb/frontend/src/generic/JobList.svelte:294: <JobListRow {triggerMetricRefresh} {job} {metrics} {plotWidth} {showFootprint} {globalMetrics} {clusterInfos} {resampleConfig}\nweb/frontend/src/generic/joblist/JobListRow.svelte:16: - `resampleConfig [Obj]`: Includes the backend supplied resampling info\nweb/frontend/src/generic/joblist/JobListRow.svelte:41: resampleConfig\nweb/frontend/src/generic/joblist/JobListRow.svelte:87: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/templates/monitoring/user.tmpl:13: const resampleConfig = {{ .Resampling }};\nweb/templates/monitoring/job.tmpl:17: const resampleConfig = {{ .Resampling }};\nweb/templates/monitoring/jobs.tmpl:15: const resampleConfig = {{ .Resampling }};","is_error":false}]},"uuid":"0e29066f-124a-4248-8015-e2a1f79469fb","timestamp":"2026-06-18T07:26:39.892Z","toolUseResult":{"stdout":"web/web.go:175:\tUIDefaultsMap[\"plotConfiguration_resampleAlgo\"] = UIDefaults.PlotConfiguration.ResampleAlgo\nweb/web.go:176:\tUIDefaultsMap[\"plotConfiguration_resamplePolicy\"] = UIDefaults.PlotConfiguration.ResamplePolicy\nweb/web.go:297:\tResampling *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\nweb/frontend/src/jobs.entrypoint.js:14: ['resampling', resampleConfig]\nweb/frontend/src/systems.entrypoint.js:16: ['resampling', resampleConfig]\nweb/frontend/src/job.entrypoint.js:15: ['resampling', resampleConfig],\nweb/frontend/src/Systems.root.svelte:72: const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\nweb/frontend/src/Systems.root.svelte:73: const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\nweb/frontend/src/Systems.root.svelte:74: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/Systems.root.svelte:162:<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\nweb/frontend/src/Systems.root.svelte:179: {#if resampleConfig}\nweb/frontend/src/Systems.root.svelte:185: {#each resampleResolutions as res}\nweb/frontend/src/job/Metric.svelte:46: const resampleConfig = getContext(\"resampling\") || null;\nweb/frontend/src/job/Metric.svelte:47: const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\nweb/frontend/src/user.entrypoint.js:13: ['resampling', resampleConfig]\nweb/frontend/src/config/admin/Options.svelte:18: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/config/admin/Options.svelte:75:{#if resampleConfig}\nweb/frontend/src/config/admin/Options.svelte:80: <p>Triggered at {resampleConfig.trigger} datapoints.</p>\nweb/frontend/src/config/admin/Options.svelte:81: <p>Configured resolutions: {resampleConfig.resolutions}</p>\nweb/frontend/src/config.entrypoint.js:17: ['resampling', resampleConfig]\nweb/templates/config.tmpl:16: const resampleConfig = {{ .Resampling }};\nweb/frontend/src/generic/plots/MetricPlot.svelte:54: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/generic/plots/MetricPlot.svelte:76: const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\nweb/frontend/src/generic/plots/MetricPlot.svelte:77: const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:78: const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:79: const resampleTargetPoints = $derived(resampleConfig?.targetPoints ? Number(resampleConfig.targetPoints) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:460: if (resampleConfig && !forNode) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:516: if (resampleConfig && !forNode && key === 'x') {\nweb/frontend/src/generic/plots/MetricPlot.svelte:520: if (resampleTargetPoints && !resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:526: } else if (resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:529: newRes = resampleResolutions.reduce(function(prev, curr) {\nweb/templates/monitoring/systems.tmpl:13: const resampleConfig = {{ .Resampling }};\nweb/frontend/src/config/user/PlotRenderOptions.svelte:30: const resampleConfig = getContext(\"resampling\");\nweb/frontend/src/config/user/PlotRenderOptions.svelte:251: <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:256: checked={(!config?.plotConfiguration_resamplePolicy && val === \"\") || config?.plotConfiguration_resamplePolicy === val} />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:260: <div id=\"resamplePolicyHelp\" class=\"form-text\">\nweb/frontend/src/config/user/PlotRenderOptions.svelte:294: <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:299: checked={(!config?.plotConfiguration_resampleAlgo && val === \"\") || config?.plotConfiguration_resampleAlgo === val} />\nweb/frontend/src/config/user/PlotRenderOptions.svelte:303: <div id=\"resampleAlgoHelp\" class=\"form-text\">\nweb/frontend/src/generic/JobList.svelte:107: const resampleConfig = $derived(initialized ? getContext(\"resampling\") : null);\nweb/frontend/src/generic/JobList.svelte:294: <JobListRow {triggerMetricRefresh} {job} {metrics} {plotWidth} {showFootprint} {globalMetrics} {clusterInfos} {resampleConfig}\nweb/frontend/src/generic/joblist/JobListRow.svelte:16: - `resampleConfig [Obj]`: Includes the backend supplied resampling info\nweb/frontend/src/generic/joblist/JobListRow.svelte:41: resampleConfig\nweb/frontend/src/generic/joblist/JobListRow.svelte:87: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/templates/monitoring/user.tmpl:13: const resampleConfig = {{ .Resampling }};\nweb/templates/monitoring/job.tmpl:17: const resampleConfig = {{ .Resampling }};\nweb/templates/monitoring/jobs.tmpl:15: const resampleConfig = {{ .Resampling }};","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"680bf8db-6e63-497e-b9f3-928bb24208f7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"0e29066f-124a-4248-8015-e2a1f79469fb","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_012W3RsMKP9f2Buw9XB9PAre","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2768,"cache_read_input_tokens":39728,"output_tokens":957,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2768,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":957,"cache_read_input_tokens":39728,"cache_creation_input_tokens":2768,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2768},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL1Xay9EAaXTHD3NauP","type":"assistant","uuid":"042fc5c5-7c3b-463c-89e9-a3171834b4f7","timestamp":"2026-06-18T07:26:49.261Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"042fc5c5-7c3b-463c-89e9-a3171834b4f7","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_012W3RsMKP9f2Buw9XB9PAre","type":"message","role":"assistant","content":[{"type":"text","text":"The backend's `ResampleConfig` was changed from `{trigger, resolutions[]}` to `{default-policy, default-algo, targetPoints}`, but much of the frontend still reads `resampleConfig.resolutions`. Let me see how `resampleDefault` is used in the affected components."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2768,"cache_read_input_tokens":39728,"output_tokens":957,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2768,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":957,"cache_read_input_tokens":39728,"cache_creation_input_tokens":2768,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2768},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL1Xay9EAaXTHD3NauP","type":"assistant","uuid":"9f7ae602-b40e-4857-8fc2-88ca09ecabc8","timestamp":"2026-06-18T07:26:50.672Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"9f7ae602-b40e-4857-8fc2-88ca09ecabc8","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_012W3RsMKP9f2Buw9XB9PAre","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PTfSyorBVLg4PR3zvzpjEX","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; grep -rn \"resampleDefault\\|resampleResolution\\|targetPoints\\|resolution\\b\\|resolution:\" web/frontend/src/generic/joblist/JobListRow.svelte web/frontend/src/job/Metric.svelte web/frontend/src/Systems.root.svelte"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2768,"cache_read_input_tokens":39728,"output_tokens":957,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2768,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":957,"cache_read_input_tokens":39728,"cache_creation_input_tokens":2768,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2768},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL1Xay9EAaXTHD3NauP","type":"assistant","uuid":"cf41cb63-604a-4134-a100-4dda9f8f99bf","timestamp":"2026-06-18T07:26:52.247Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"cf41cb63-604a-4134-a100-4dda9f8f99bf","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PTfSyorBVLg4PR3zvzpjEX","type":"tool_result","content":"web/frontend/src/generic/joblist/JobListRow.svelte:48: jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\nweb/frontend/src/generic/joblist/JobListRow.svelte:87: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/generic/joblist/JobListRow.svelte:98: let selectedResolution = $derived(resampleDefault);\nweb/frontend/src/Systems.root.svelte:73: const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\nweb/frontend/src/Systems.root.svelte:74: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/Systems.root.svelte:88: let selectedResolution = $derived(resampleDefault);\nweb/frontend/src/Systems.root.svelte:185: {#each resampleResolutions as res}\nweb/frontend/src/job/Metric.svelte:47: const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\nweb/frontend/src/job/Metric.svelte:50: singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\nweb/frontend/src/job/Metric.svelte:81: let selectedResolution = $state(resampleDefault);","is_error":false}]},"uuid":"a367e92f-7b0e-483d-aa50-ed4992d91e2c","timestamp":"2026-06-18T07:26:52.295Z","toolUseResult":{"stdout":"web/frontend/src/generic/joblist/JobListRow.svelte:48: jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\nweb/frontend/src/generic/joblist/JobListRow.svelte:87: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/generic/joblist/JobListRow.svelte:98: let selectedResolution = $derived(resampleDefault);\nweb/frontend/src/Systems.root.svelte:73: const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\nweb/frontend/src/Systems.root.svelte:74: const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\nweb/frontend/src/Systems.root.svelte:88: let selectedResolution = $derived(resampleDefault);\nweb/frontend/src/Systems.root.svelte:185: {#each resampleResolutions as res}\nweb/frontend/src/job/Metric.svelte:47: const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\nweb/frontend/src/job/Metric.svelte:50: singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\nweb/frontend/src/job/Metric.svelte:81: let selectedResolution = $state(resampleDefault);","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"cf41cb63-604a-4134-a100-4dda9f8f99bf","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"type":"last-prompt","lastPrompt":"With the current branch the frontend does not show any jobs in the job list. There is a comsole error: Uncaught TypeError: t.resampleConfig.resolutions is not iterable (cannot read property undefined)…","leafUuid":"a367e92f-7b0e-483d-aa50-ed4992d91e2c","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"mode","mode":"normal","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"b3ed4ae5-c68a-48c8-bfe8-f360869a41c5","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01B1KGVNCDXt1s6KwvsDaZ7T","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the `JobMetrics` resolver to confirm what the frontend should send for resolution under the new policy-based model."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1533,"cache_read_input_tokens":42496,"output_tokens":465,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1533,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":465,"cache_read_input_tokens":42496,"cache_creation_input_tokens":1533,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1533},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL2SJVq8ZkhjjmaCcvK","type":"assistant","uuid":"df055c42-cf6d-4789-a543-7eebdfa14ef2","timestamp":"2026-06-18T07:26:59.636Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"df055c42-cf6d-4789-a543-7eebdfa14ef2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01B1KGVNCDXt1s6KwvsDaZ7T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q7KmvfZ6e1LgYabHN9f598","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","offset":501,"limit":45},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1533,"cache_read_input_tokens":42496,"output_tokens":465,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1533,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":465,"cache_read_input_tokens":42496,"cache_creation_input_tokens":1533,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1533},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL2SJVq8ZkhjjmaCcvK","type":"assistant","uuid":"86ea9a2a-4454-40df-97e3-433f2c186bbd","timestamp":"2026-06-18T07:27:00.059Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"86ea9a2a-4454-40df-97e3-433f2c186bbd","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q7KmvfZ6e1LgYabHN9f598","type":"tool_result","content":"501\tfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n502\t\tjob, err := r.Query().Job(ctx, id)\n503\t\tif err != nil {\n504\t\t\tcclog.Warn(\"Error while querying job for metrics\")\n505\t\t\treturn nil, err\n506\t\t}\n507\t\n508\t\t// Resolve resolution: explicit param > user policy > global config > 0\n509\t\tif resolution == nil {\n510\t\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n511\t\t}\n512\t\tif resolution == nil {\n513\t\t\tif config.Keys.EnableResampling != nil {\n514\t\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n515\t\t\t}\n516\t\t\tif resolution == nil {\n517\t\t\t\tdefaultRes := 0\n518\t\t\t\tresolution = &defaultRes\n519\t\t\t}\n520\t\t}\n521\t\n522\t\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n523\t\n524\t\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n525\t\tif err != nil {\n526\t\t\tcclog.Warn(\"Error while loading job data\")\n527\t\t\treturn nil, err\n528\t\t}\n529\t\n530\t\tres := []*model.JobMetricWithName{}\n531\t\tfor name, md := range data {\n532\t\t\tfor scope, metric := range md {\n533\t\t\t\tres = append(res, &model.JobMetricWithName{\n534\t\t\t\t\tName: name,\n535\t\t\t\t\tScope: scope,\n536\t\t\t\t\tMetric: metric,\n537\t\t\t\t})\n538\t\t\t}\n539\t\t}\n540\t\n541\t\treturn res, err\n542\t}\n543\t\n544\t// JobStats is the resolver for the jobStats field.\n545\tfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {"}]},"uuid":"e2a04cdb-27fd-4a45-8264-560d896486ef","timestamp":"2026-06-18T07:27:00.074Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) ([]*model.JobMetricWithName, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\t// Resolve resolution: explicit param > user policy > global config > 0\n\tif resolution == nil {\n\t\tresolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n\t}\n\tif resolution == nil {\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tresolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n\t\t}\n\t\tif resolution == nil {\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\talgoName := resolveResampleAlgo(ctx, resampleAlgo)\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {","numLines":45,"startLine":501,"totalLines":1095}},"sourceToolAssistantUUID":"86ea9a2a-4454-40df-97e3-433f2c186bbd","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"e2a04cdb-27fd-4a45-8264-560d896486ef","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017vBLdcWLvK4jsPth9YjbfL","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1153,"cache_read_input_tokens":44029,"output_tokens":654,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1153,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":654,"cache_read_input_tokens":44029,"cache_creation_input_tokens":1153,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1153},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL32Kt9Ex7khAR9jYiA","type":"assistant","uuid":"ea73fedb-8e23-4faa-b87b-b9a572326f29","timestamp":"2026-06-18T07:27:08.148Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"ea73fedb-8e23-4faa-b87b-b9a572326f29","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017vBLdcWLvK4jsPth9YjbfL","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check what `.Resampling` actually serializes to the frontend now (via `resamplingForUser`)."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1153,"cache_read_input_tokens":44029,"output_tokens":654,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1153,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":654,"cache_read_input_tokens":44029,"cache_creation_input_tokens":1153,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1153},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL32Kt9Ex7khAR9jYiA","type":"assistant","uuid":"b731697d-62ea-41e9-8962-4d7e2fd73ea5","timestamp":"2026-06-18T07:27:08.613Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"b731697d-62ea-41e9-8962-4d7e2fd73ea5","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017vBLdcWLvK4jsPth9YjbfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0161VkowKt92T29RQU5p9RiX","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; grep -rn \"resamplingForUser\\|Resampling\" internal/routerConfig/routes.go web/web.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1153,"cache_read_input_tokens":44029,"output_tokens":654,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1153,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":654,"cache_read_input_tokens":44029,"cache_creation_input_tokens":1153,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1153},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL32Kt9Ex7khAR9jYiA","type":"assistant","uuid":"9f72f0b7-ed38-4b7c-8240-25c318f6245e","timestamp":"2026-06-18T07:27:09.373Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"9f72f0b7-ed38-4b7c-8240-25c318f6245e","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0161VkowKt92T29RQU5p9RiX","type":"tool_result","content":"web/web.go:297:\tResampling *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\ninternal/routerConfig/routes.go:500:\t\t\tresampling := resamplingForUser(conf)\ninternal/routerConfig/routes.go:508:\t\t\t\tResampling: resampling,\ninternal/routerConfig/routes.go:596:// resamplingForUser returns a ResampleConfig that incorporates the user's\ninternal/routerConfig/routes.go:600:func resamplingForUser(conf map[string]any) *config.ResampleConfig {\ninternal/routerConfig/routes.go:601:\tglobalCfg := config.Keys.EnableResampling","is_error":false}]},"uuid":"1bd588cf-b5f7-4d28-b45b-4fef23fc3164","timestamp":"2026-06-18T07:27:09.424Z","toolUseResult":{"stdout":"web/web.go:297:\tResampling *config.ResampleConfig // If not nil, defines resampling trigger and resolutions\ninternal/routerConfig/routes.go:500:\t\t\tresampling := resamplingForUser(conf)\ninternal/routerConfig/routes.go:508:\t\t\t\tResampling: resampling,\ninternal/routerConfig/routes.go:596:// resamplingForUser returns a ResampleConfig that incorporates the user's\ninternal/routerConfig/routes.go:600:func resamplingForUser(conf map[string]any) *config.ResampleConfig {\ninternal/routerConfig/routes.go:601:\tglobalCfg := config.Keys.EnableResampling","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"9f72f0b7-ed38-4b7c-8240-25c318f6245e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"1f6a0fb5-e6dd-4e9d-b3cf-754decea624e","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01451UiGRdQWe5YGGT8sc6BB","type":"tool_result","content":"596\t// resamplingForUser returns a ResampleConfig that incorporates the user's\n597\t// resample policy preference. If the user has a policy set, it creates a\n598\t// policy-derived config with targetPoints and trigger. Otherwise falls back\n599\t// to the global config.\n600\tfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n601\t\tglobalCfg := config.Keys.EnableResampling\n602\t\n603\t\tpolicyStr := \"\"\n604\t\tif policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {\n605\t\t\tif s, ok := policyVal.(string); ok {\n606\t\t\t\tpolicyStr = s\n607\t\t\t}\n608\t\t}\n609\t\n610\t\t// Fall back to global default policy, then to \"medium\"\n611\t\tif policyStr == \"\" && globalCfg != nil {\n612\t\t\tpolicyStr = globalCfg.DefaultPolicy\n613\t\t}\n614\t\tif policyStr == \"\" {\n615\t\t\tpolicyStr = \"medium\"\n616\t\t}\n617\t\n618\t\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n619\t\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n620\t\tif targetPoints == 0 {\n621\t\t\treturn globalCfg\n622\t\t}\n623\t\n624\t\treturn &config.ResampleConfig{\n625\t\t\tTargetPoints: targetPoints,\n626\t\t}\n627\t}\n628\t"}]},"uuid":"e70f24fb-e745-4238-abdf-5e4ca0baa99e","timestamp":"2026-06-18T07:27:12.008Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","content":"// resamplingForUser returns a ResampleConfig that incorporates the user's\n// resample policy preference. If the user has a policy set, it creates a\n// policy-derived config with targetPoints and trigger. Otherwise falls back\n// to the global config.\nfunc resamplingForUser(conf map[string]any) *config.ResampleConfig {\n\tglobalCfg := config.Keys.EnableResampling\n\n\tpolicyStr := \"\"\n\tif policyVal, ok := conf[\"plotConfiguration_resamplePolicy\"]; ok {\n\t\tif s, ok := policyVal.(string); ok {\n\t\t\tpolicyStr = s\n\t\t}\n\t}\n\n\t// Fall back to global default policy, then to \"medium\"\n\tif policyStr == \"\" && globalCfg != nil {\n\t\tpolicyStr = globalCfg.DefaultPolicy\n\t}\n\tif policyStr == \"\" {\n\t\tpolicyStr = \"medium\"\n\t}\n\n\tpolicy := metricdispatch.ResamplePolicy(policyStr)\n\ttargetPoints := metricdispatch.TargetPointsForPolicy(policy)\n\tif targetPoints == 0 {\n\t\treturn globalCfg\n\t}\n\n\treturn &config.ResampleConfig{\n\t\tTargetPoints: targetPoints,\n\t}\n}\n","numLines":33,"startLine":596,"totalLines":628}},"sourceToolAssistantUUID":"1f6a0fb5-e6dd-4e9d-b3cf-754decea624e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"e0b506a2-2bd8-46ba-8891-24a471bfe862","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01WLmBy5yDXUMF4gW9AKYq3Q","type":"message","role":"assistant","content":[{"type":"text","text":"The new config only sets `targetPoints`; `resolutions`/`trigger` no longer exist. `MetricPlot.svelte` already handles the `targetPoints`-only case, but `JobListRow.svelte`, `job/Metric.svelte`, `Systems.root.svelte`, and `admin/Options.svelte` still spread `resampleConfig.resolutions` and crash. Let me read each to fix them properly."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":593,"cache_read_input_tokens":46068,"output_tokens":1082,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":593,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1082,"cache_read_input_tokens":46068,"cache_creation_input_tokens":593,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":593},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL3v7btU4PS3HZh5zf2","type":"assistant","uuid":"39f1fad4-5d16-4d0a-85a8-300950e32ea4","timestamp":"2026-06-18T07:27:25.154Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"3c3c6a9b-74da-4125-bd95-bff53b5ce921","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RgPgiUV7aT7a86JbmCgnHP","type":"tool_result","content":"38\t unselectJob,\n39\t globalMetrics,\n40\t clusterInfos,\n41\t resampleConfig\n42\t } = $props();\n43\t\n44\t /* Const Init */\n45\t const client = getContextClient();\n46\t const query = gql`\n47\t query ($id: ID!, $metrics: [String!]!, $scopes: [MetricScope!]!, $selectedResolution: Int) {\n48\t jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\n49\t name\n50\t scope\n51\t metric {\n52\t unit {\n53\t prefix\n54\t base\n55\t }\n56\t timestep\n57\t statisticsSeries {\n58\t min\n59\t mean\n60\t median\n61\t max\n62\t }\n63\t series {\n64\t hostname\n65\t id\n66\t data\n67\t statistics {\n68\t min\n69\t avg\n70\t max\n71\t }\n72\t }\n73\t }\n74\t }\n75\t }\n76\t `;\n77\t\n78\t /* Var Init*/\n79\t // svelte-ignore state_referenced_locally\n80\t let plotSync = uPlot.sync(`jobMetricStack-${job.cluster}-${job.id}`);\n81\t\n82\t /* State Init */\n83\t let zoomStates = $state({});\n84\t let thresholdStates = $state({});\n85\t\n86\t /* Derived */\n87\t const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n88\t const jobId = $derived(job.id);\n89\t const scopes = $derived.by(() => {\n90\t if (job.numNodes == 1) {\n91\t if (job.numAcc >= 1) return [\"core\", \"accelerator\"];\n92\t else return [\"core\"];\n93\t } else {\n94\t return [\"node\"];\n95\t };\n96\t });\n97\t\n98\t let selectedResolution = $derived(resampleDefault);\n99\t let isSelected = $derived(previousSelect);\n100\t let metricsQuery = $derived(queryStore({\n101\t client: client,\n102\t query: query,\n103\t variables: { id: jobId, metrics, scopes, selectedResolution },\n104\t })\n105\t );\n106\t\n107\t const refinedData = $derived($metricsQuery?.data?.jobMetrics ? sortAndSelectScope(metrics, $metricsQuery.data.jobMetrics) : []);\n108\t\n109\t /* Effects */\n110\t $effect(() => {\n111\t if (job.state === 'running' && triggerMetricRefresh === true) {\n112\t refreshMetrics();\n113\t }\n114\t });\n115\t\n116\t $effect(() => {\n117\t if (isSelected == true && previousSelect == false) {\n118\t selectJob(jobId)\n119\t } else if (isSelected == false && previousSelect == true) {\n120\t unselectJob(jobId)\n121\t }\n122\t });\n123\t\n124\t /* Functions */\n125\t function handleZoom(detail, metric) {\n126\t // Buffer last zoom state to allow seamless zoom on rerender\n127\t // console.log('Update zoomState for/with:', metric, {...detail.lastZoomState})\n128\t zoomStates[metric] = detail?.lastZoomState ? {...detail.lastZoomState} : null;\n129\t // Handle to correctly reset on summed metric scope change\n130\t // console.log('Update thresholdState for/with:', metric, detail.lastThreshold)\n131\t thresholdStates[metric] = detail?.lastThreshold ? detail.lastThreshold : null;\n132\t // Triggers GQL\n133\t if (detail?.newRes) { \n134\t // console.log('Update selectedResolution for/with:', metric, detail.newRes)\n135\t selectedResolution = detail.newRes;\n136\t }\n137\t }\n138\t\n139\t function refreshMetrics() {\n140\t metricsQuery = queryStore({\n141\t client: client,\n142\t query: query,\n143\t variables: { id: jobId, metrics, scopes, selectedResolution },\n144\t // requestPolicy: 'network-only' // use default cache-first for refresh\n145\t });\n146\t }\n147\t\n148\t function sortAndSelectScope(metricList = [], jobMetrics = []) {\n149\t const pendingData = [];\n150\t metricList.forEach((metricName) => {\n151\t const pendingMetric = {\n152\t name: metricName,"}]},"uuid":"ded6cde8-a618-40f9-8f6d-0eaaddf23e7e","timestamp":"2026-06-18T07:27:26.172Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte","content":" unselectJob,\n globalMetrics,\n clusterInfos,\n resampleConfig\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const query = gql`\n query ($id: ID!, $metrics: [String!]!, $scopes: [MetricScope!]!, $selectedResolution: Int) {\n jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* Var Init*/\n // svelte-ignore state_referenced_locally\n let plotSync = uPlot.sync(`jobMetricStack-${job.cluster}-${job.id}`);\n\n /* State Init */\n let zoomStates = $state({});\n let thresholdStates = $state({});\n\n /* Derived */\n const resampleDefault = $derived(resampleConfig ? 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{"parentUuid":"cc6e5c37-fe28-4739-bf95-3e86e7d17cf0","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BXXnukUUdjq3mtfx9Pzyk2","type":"tool_result","content":"40\t isShared = false,\n41\t } = $props();\n42\t\n43\t /* Const Init */\n44\t const client = getContextClient();\n45\t const statsPattern = /(.*)-stat$/;\n46\t const resampleConfig = getContext(\"resampling\") || null;\n47\t const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\n48\t const subQuery = gql`\n49\t query ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n50\t singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n51\t name\n52\t scope\n53\t metric {\n54\t unit {\n55\t prefix\n56\t base\n57\t }\n58\t timestep\n59\t statisticsSeries {\n60\t min\n61\t mean\n62\t median\n63\t max\n64\t }\n65\t series {\n66\t hostname\n67\t id\n68\t data\n69\t statistics {\n70\t min\n71\t avg\n72\t max\n73\t }\n74\t }\n75\t }\n76\t }\n77\t }\n78\t `;\n79\t\n80\t /* State Init */\n81\t let selectedResolution = $state(resampleDefault);\n82\t let selectedHost = $state(null);\n83\t let zoomState = $state(null);\n84\t let thresholdState = $state(null);\n85\t\n86\t /* Derived */\n87\t let requestedScopes = $derived(presetScopes);\n88\t const unit = $derived.by(() => { return (metricUnit?.prefix ? metricUnit.prefix : \"\") + (metricUnit?.base ? metricUnit.base : \"\")});\n89\t const metricData = $derived(queryStore({\n90\t client: client,\n91\t query: subQuery,\n92\t variables: { \n93\t dbid: job.id,\n94\t selectedMetrics: [metricName],"}]},"uuid":"4ac28fec-41d8-4b47-9774-22f2678effb6","timestamp":"2026-06-18T07:27:47.280Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte","content":" isShared = false,\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const statsPattern = /(.*)-stat$/;\n const resampleConfig = getContext(\"resampling\") || null;\n const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\n const subQuery = gql`\n query ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* State Init */\n let selectedResolution = $state(resampleDefault);\n let selectedHost = $state(null);\n let zoomState = $state(null);\n let thresholdState = $state(null);\n\n /* Derived */\n let requestedScopes = $derived(presetScopes);\n const unit = $derived.by(() => { return (metricUnit?.prefix ? metricUnit.prefix : \"\") + (metricUnit?.base ? metricUnit.base : \"\")});\n const metricData = $derived(queryStore({\n client: client,\n query: subQuery,\n variables: { \n dbid: job.id,\n selectedMetrics: [metricName],","numLines":55,"startLine":40,"totalLines":204}},"sourceToolAssistantUUID":"cc6e5c37-fe28-4739-bf95-3e86e7d17cf0","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"7aec220c-7a9d-4212-a8bd-603bdae1c457","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hzrsfg9Lyr3Bw5jTCLzxc6","type":"tool_result","content":"66\t /* Derived Init Return */\n67\t const thisInit = $derived($initq?.data ? true : false);\n68\t\n69\t /* Derived States */\n70\t const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n71\t const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n72\t const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n73\t const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\n74\t const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n75\t const displayNodeOverview = $derived((displayType === 'OVERVIEW'));\n76\t\n77\t const systemMetrics = $derived(globalMetrics ? [...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n78\t const systemUnits = $derived.by(() => {\n79\t const pendingUnits = {};\n80\t if (thisInit && systemMetrics.length > 0) {\n81\t for (let sm of systemMetrics) {\n82\t pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n83\t };\n84\t }\n85\t return {...pendingUnits};\n86\t });\n87\t\n88\t let selectedResolution = $derived(resampleDefault);\n89\t let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n90\t let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n91\t\n92\t let selectedMetric = $derived.by(() => {\n93\t let configKey = `nodeOverview_selectedMetric`;\n94\t if (cluster) configKey += `:${cluster}`;\n95\t if (subCluster) configKey += `:${subCluster}`;\n96\t\n97\t if (thisInit) {\n98\t if (ccconfig[configKey]) return ccconfig[configKey]\n99\t else if (systemMetrics.length !== 0) return systemMetrics[0].name\n100\t }"}]},"uuid":"dcc9f5e5-31c6-43db-ab84-cee2d249843d","timestamp":"2026-06-18T07:27:48.255Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte","content":" /* Derived Init Return */\n const thisInit = $derived($initq?.data ? true : false);\n\n /* Derived States */\n const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));\n\n const systemMetrics = $derived(globalMetrics ? [...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n const systemUnits = $derived.by(() => {\n const pendingUnits = {};\n if (thisInit && systemMetrics.length > 0) {\n for (let sm of systemMetrics) {\n pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n };\n }\n return {...pendingUnits};\n });\n\n let selectedResolution = $derived(resampleDefault);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n\n let selectedMetric = $derived.by(() => {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length !== 0) return systemMetrics[0].name\n }","numLines":35,"startLine":66,"totalLines":293}},"sourceToolAssistantUUID":"7aec220c-7a9d-4212-a8bd-603bdae1c457","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"dcc9f5e5-31c6-43db-ab84-cee2d249843d","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01MghdcX8Rw3pjrwMKm2Kz7r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qwd6tS931v79ZTw6YJrz2s","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/admin/Options.svelte","offset":70,"limit":20},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":2621,"cache_read_input_tokens":46661,"output_tokens":1826,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2621,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":1826,"cache_read_input_tokens":46661,"cache_creation_input_tokens":2621,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2621},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL4wAdda7FryQMv2PRn","type":"assistant","uuid":"f1b2350e-69fd-4f78-81b3-a01290926a62","timestamp":"2026-06-18T07:27:49.131Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"f1b2350e-69fd-4f78-81b3-a01290926a62","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qwd6tS931v79ZTw6YJrz2s","type":"tool_result","content":"70\t </CardBody>\n71\t </Card>\n72\t </Col>\n73\t{/if}\n74\t\n75\t{#if resampleConfig}\n76\t <Col> \n77\t <Card class=\"h-100\">\n78\t <CardBody>\n79\t <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n80\t <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n81\t <p>Configured resolutions: {resampleConfig.resolutions}</p>\n82\t </CardBody>\n83\t </Card>\n84\t </Col>\n85\t{/if}\n86\t"}]},"uuid":"efa00a9b-9646-4441-a710-21a257b75677","timestamp":"2026-06-18T07:27:49.142Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/admin/Options.svelte","content":" </CardBody>\n </Card>\n </Col>\n{/if}\n\n{#if resampleConfig}\n <Col> \n <Card class=\"h-100\">\n <CardBody>\n <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n <p>Configured resolutions: {resampleConfig.resolutions}</p>\n </CardBody>\n </Card>\n </Col>\n{/if}\n","numLines":17,"startLine":70,"totalLines":86}},"sourceToolAssistantUUID":"f1b2350e-69fd-4f78-81b3-a01290926a62","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"efa00a9b-9646-4441-a710-21a257b75677","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01T8WXMrJsE7CzXQZDSgch4Q","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtoCCmMIDhgCKkC+YKf0uf6KoGaGndrkRs/8kRnJcueR+CFGAkb8spCAN18wJtsaKKdnDBGku3RTS+Gd1iEOKVX/ux7F85CkSzxlMg9jbGF1ZGUtb3B1cy00LTg4AEIIdGhpbmtpbmcSDOTV/eWYBCWMq4WpRRoMUQQBfTzfdDpiXW0WIjCIPU71lLoHPrBu0etboKihIMliBk1iBd6f9qUdufMsx7q2BcrFswikgM0i0baD5vYqpAH50Gi7lHXMbWtBwYm50pm3X4usDzN/Esw/4gAhHVhQAZEdERo8kQ+m520jB3ueDQcom6QNZnb5OFVTttlHKuylU2q5DoDHTrbeZMAnyG+9LGIrsohxT0jOZ54ui4cFCVVtEcrkHKaNiyZHg1JwxSRvjWApJwEItCCpvgphIbXJA5vtsva+Ot92jELo4EIRKcTgPijOVSyEzQRclAY4JLJ6ae8RqhgB"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3739,"cache_read_input_tokens":49282,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3739,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":213,"cache_read_input_tokens":49282,"cache_creation_input_tokens":3739,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3739},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL6dmvjpn7W6HJPddT3","type":"assistant","uuid":"c5e93a3e-51cb-4243-a4ec-d84873b55c6f","timestamp":"2026-06-18T07:27:51.776Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"c5e93a3e-51cb-4243-a4ec-d84873b55c6f","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01T8WXMrJsE7CzXQZDSgch4Q","type":"message","role":"assistant","content":[{"type":"text","text":"Let me see the Systems.root resolution selector UI block (around lines 162-195)."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3739,"cache_read_input_tokens":49282,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3739,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":213,"cache_read_input_tokens":49282,"cache_creation_input_tokens":3739,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3739},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL6dmvjpn7W6HJPddT3","type":"assistant","uuid":"7ae59ceb-b186-48cc-abf2-2a6fa0dae666","timestamp":"2026-06-18T07:27:52.223Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"621204d4-4d49-4692-bbe4-a7378051b73e","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqQ1y49PGEj6CdNz4pn4U6","type":"tool_result","content":"160\t\n161\t<!-- ROW1: Tools-->\n162\t<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\n163\t {#if thisInit}\n164\t <!-- List Metric Select Col-->\n165\t {#if !displayNodeOverview}\n166\t <Col>\n167\t <InputGroup>\n168\t <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n169\t <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n170\t <Button\n171\t outline\n172\t color=\"primary\"\n173\t onclick={() => (isMetricsSelectionOpen = true)}\n174\t >\n175\t {selectedMetrics.length} selected\n176\t </Button>\n177\t </InputGroup>\n178\t </Col>\n179\t {#if resampleConfig}\n180\t <Col>\n181\t <InputGroup>\n182\t <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n183\t <InputGroupText>Resolution</InputGroupText>\n184\t <Input type=\"select\" bind:value={selectedResolution}>\n185\t {#each resampleResolutions as res}\n186\t <option value={res}\n187\t >{res} sec</option\n188\t >\n189\t {/each}\n190\t </Input>\n191\t </InputGroup>\n192\t </Col>\n193\t {/if}\n194\t {/if}\n195\t <!-- Node Col-->\n196\t <Col class=\"mt-2 mt-lg-0\">\n197\t <InputGroup>\n198\t <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n199\t <InputGroupText>Node(s)</InputGroupText>"}]},"uuid":"0b1c0ea3-ba3e-4f9d-b6cb-ca4ff146ebb0","timestamp":"2026-06-18T07:27:53.631Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte","content":"\n<!-- ROW1: Tools-->\n<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\n {#if thisInit}\n <!-- List Metric Select Col-->\n {#if !displayNodeOverview}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n <Button\n outline\n color=\"primary\"\n onclick={() => (isMetricsSelectionOpen = true)}\n >\n {selectedMetrics.length} selected\n </Button>\n </InputGroup>\n </Col>\n {#if resampleConfig}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n <InputGroupText>Resolution</InputGroupText>\n <Input type=\"select\" bind:value={selectedResolution}>\n {#each resampleResolutions as res}\n <option value={res}\n >{res} sec</option\n >\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Node Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n <InputGroupText>Node(s)</InputGroupText>","numLines":40,"startLine":160,"totalLines":293}},"sourceToolAssistantUUID":"621204d4-4d49-4692-bbe4-a7378051b73e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"68931df4-d0d9-4d00-8a10-97c7a5d7e509","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R2JiEJvRQFkqRnwYA3fPLV","type":"tool_result","content":"508\t u.ctx.moveTo(u.bbox.left, y);\n509\t u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n510\t u.ctx.stroke();\n511\t u.ctx.restore();\n512\t },\n513\t ],\n514\t setScale: [\n515\t (u, key) => { // If ZoomResample is Configured && Not System/Node View\n516\t if (resampleConfig && !forNode && key === 'x') {\n517\t const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n518\t if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n519\t let newRes;\n520\t if (resampleTargetPoints && !resampleResolutions) {\n521\t // Policy-based: compute resolution dynamically from visible window\n522\t const visibleDuration = (u.scales.x.max - u.scales.x.min);\n523\t const nativeTimestep = metricConfig?.timestep || timestep;\n524\t newRes = Math.ceil(visibleDuration / resampleTargetPoints / nativeTimestep) * nativeTimestep;\n525\t if (newRes < nativeTimestep) newRes = nativeTimestep;\n526\t } else if (resampleResolutions) {\n527\t // Array-based: find closest configured resolution\n528\t const target = (numX * timestep) / resampleTrigger;\n529\t newRes = resampleResolutions.reduce(function(prev, curr) {\n530\t return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n531\t });\n532\t }\n533\t // Prevents non-required dispatches\n534\t if (newRes && timestep !== newRes) {\n535\t onZoom({\n536\t newRes: newRes,\n537\t lastZoomState: u?.scales,\n538\t lastThreshold: thresholds?.normal\n539\t });\n540\t }\n541\t } else {\n542\t onZoom({\n543\t lastZoomState: u?.scales,\n544\t lastThreshold: thresholds?.normal\n545\t });\n546\t };\n547\t };\n548\t },\n549\t ]\n550\t },\n551\t scales: {\n552\t x: { time: false },"}]},"uuid":"579777c0-7f53-490e-96d6-a07e73b03928","timestamp":"2026-06-18T07:28:10.522Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte","content":" u.ctx.moveTo(u.bbox.left, y);\n u.ctx.lineTo(u.bbox.left + u.bbox.width, y);\n u.ctx.stroke();\n u.ctx.restore();\n },\n ],\n setScale: [\n (u, key) => { // If ZoomResample is Configured && Not System/Node View\n if (resampleConfig && !forNode && key === 'x') {\n const numX = (u.series[0].idxs[1] - u.series[0].idxs[0])\n if (numX <= resampleTrigger && timestep !== resampleMinimum) {\n let newRes;\n if (resampleTargetPoints && !resampleResolutions) {\n // Policy-based: compute resolution dynamically from visible window\n const visibleDuration = (u.scales.x.max - u.scales.x.min);\n const nativeTimestep = metricConfig?.timestep || timestep;\n newRes = Math.ceil(visibleDuration / resampleTargetPoints / nativeTimestep) * nativeTimestep;\n if (newRes < nativeTimestep) newRes = nativeTimestep;\n } else if (resampleResolutions) {\n // Array-based: find closest configured resolution\n const target = (numX * timestep) / resampleTrigger;\n newRes = resampleResolutions.reduce(function(prev, curr) {\n return (Math.abs(curr - target) < Math.abs(prev - target) ? curr : prev);\n });\n }\n // Prevents non-required dispatches\n if (newRes && timestep !== newRes) {\n onZoom({\n newRes: newRes,\n lastZoomState: u?.scales,\n lastThreshold: thresholds?.normal\n });\n }\n } else {\n onZoom({\n lastZoomState: u?.scales,\n lastThreshold: thresholds?.normal\n });\n };\n };\n },\n ]\n },\n scales: {\n x: { time: false },","numLines":45,"startLine":508,"totalLines":632}},"sourceToolAssistantUUID":"68931df4-d0d9-4d00-8a10-97c7a5d7e509","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"type":"last-prompt","lastPrompt":"With the current branch the frontend does not show any jobs in the job list. There is a comsole error: Uncaught TypeError: t.resampleConfig.resolutions is not iterable (cannot read property undefined)…","leafUuid":"579777c0-7f53-490e-96d6-a07e73b03928","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"07c261ed-bc87-4995-8d44-40b41d1a6871","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01MdFrsGCUgJZqEGgDBcuKP9","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the full picture. The backend resolves resolution from policy when the query sends `null`, and `MetricPlot` computes zoom resolutions from `targetPoints`. So all the legacy `resolutions`-array consumers should default to `null`. Let me apply the fixes.\n\n**1. JobListRow.svelte** — the source of the job-list crash:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":1576,"cache_read_input_tokens":55945,"output_tokens":524,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1576,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":524,"cache_read_input_tokens":55945,"cache_creation_input_tokens":1576,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1576},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL9Trxfp6PytM251Qt8","type":"assistant","uuid":"9dc1797d-9cb0-44d2-8b18-dc54b13e4ee3","timestamp":"2026-06-18T07:28:33.281Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"9dc1797d-9cb0-44d2-8b18-dc54b13e4ee3","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01MdFrsGCUgJZqEGgDBcuKP9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01So6mr6nKuzBr2wNKgpKcKj","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte","old_string":" /* Derived */\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const jobId = $derived(job.id);","new_string":" /* Derived */\n const jobId = $derived(job.id);"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":1576,"cache_read_input_tokens":55945,"output_tokens":524,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1576,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":524,"cache_read_input_tokens":55945,"cache_creation_input_tokens":1576,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1576},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAL9Trxfp6PytM251Qt8","type":"assistant","uuid":"58e67f6b-bf8f-4b0f-9b27-2138cfe2bd10","timestamp":"2026-06-18T07:28:35.266Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"58e67f6b-bf8f-4b0f-9b27-2138cfe2bd10","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01So6mr6nKuzBr2wNKgpKcKj","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"0d45af82-37c3-4ce9-8872-77f099deeeea","timestamp":"2026-06-18T07:28:48.215Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte","oldString":" /* Derived */\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const jobId = $derived(job.id);","newString":" /* Derived */\n const jobId = $derived(job.id);","originalFile":"<!-- \n @component Data row for a single job displaying metric plots\n\n Properties:\n - `job Object`: The job object (GraphQL.Job)\n - `metrics [String]`: Currently selected metrics\n - `plotWidth Number`: Width of the sub-components\n - `plotHeight Number?`: Height of the sub-components [Default: 275]\n - `showFootprint Bool`: Display of footprint component for job [Default: false]\n - `previousSelect Bool`: The latest job select state for job comparison [Default: false]\n - `triggerMetricRefresh Bool?`: If changed to true from upstream, will trigger metric query [Default: false]\n - `selectJob Func`: The callback function to select a job for comparison\n - `unselectJob Func`: The callback function to unselect a job from comparison\n - `globalMetrics [Obj]`: Includes the backend supplied availabilities for cluster and subCluster\n - `clusterInfos [Obj]`: Includes the backend supplied cluster topology\n - `resampleConfig [Obj]`: Includes the backend supplied resampling info\n-->\n\n<script>\n import { queryStore, gql, getContextClient } from \"@urql/svelte\";\n import { Card, Spinner } from \"@sveltestrap/sveltestrap\";\n import { maxScope, checkMetricAvailability } from \"../utils.js\";\n import uPlot from \"uplot\";\n import JobInfo from \"./JobInfo.svelte\";\n import MetricPlot from \"../plots/MetricPlot.svelte\";\n import JobFootprint from \"../helper/JobFootprint.svelte\";\n\n /* Svelte 5 Props */\n let {\n job,\n metrics,\n plotWidth,\n plotHeight = 275,\n showFootprint = false,\n previousSelect = false,\n triggerMetricRefresh = false,\n selectJob,\n unselectJob,\n globalMetrics,\n clusterInfos,\n resampleConfig\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const query = gql`\n query ($id: ID!, $metrics: [String!]!, $scopes: [MetricScope!]!, $selectedResolution: Int) {\n jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* Var Init*/\n // svelte-ignore state_referenced_locally\n let plotSync = uPlot.sync(`jobMetricStack-${job.cluster}-${job.id}`);\n\n /* State Init */\n let zoomStates = $state({});\n let thresholdStates = $state({});\n\n /* Derived */\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const jobId = $derived(job.id);\n const scopes = $derived.by(() => {\n if (job.numNodes == 1) {\n if (job.numAcc >= 1) return [\"core\", \"accelerator\"];\n else return [\"core\"];\n } else {\n return [\"node\"];\n };\n });\n\n let selectedResolution = $derived(resampleDefault);\n let isSelected = $derived(previousSelect);\n let metricsQuery = $derived(queryStore({\n client: client,\n query: query,\n variables: { id: jobId, metrics, scopes, selectedResolution },\n })\n );\n\n const refinedData = $derived($metricsQuery?.data?.jobMetrics ? sortAndSelectScope(metrics, $metricsQuery.data.jobMetrics) : []);\n\n /* Effects */\n $effect(() => {\n if (job.state === 'running' && triggerMetricRefresh === true) {\n refreshMetrics();\n }\n });\n\n $effect(() => {\n if (isSelected == true && previousSelect == false) {\n selectJob(jobId)\n } else if (isSelected == false && previousSelect == true) {\n unselectJob(jobId)\n }\n });\n\n /* Functions */\n function handleZoom(detail, metric) {\n // Buffer last zoom state to allow seamless zoom on rerender\n // console.log('Update zoomState for/with:', metric, {...detail.lastZoomState})\n zoomStates[metric] = detail?.lastZoomState ? {...detail.lastZoomState} : null;\n // Handle to correctly reset on summed metric scope change\n // console.log('Update thresholdState for/with:', metric, detail.lastThreshold)\n thresholdStates[metric] = detail?.lastThreshold ? detail.lastThreshold : null;\n // Triggers GQL\n if (detail?.newRes) { \n // console.log('Update selectedResolution for/with:', metric, detail.newRes)\n selectedResolution = detail.newRes;\n }\n }\n\n function refreshMetrics() {\n metricsQuery = queryStore({\n client: client,\n query: query,\n variables: { id: jobId, metrics, scopes, selectedResolution },\n // requestPolicy: 'network-only' // use default cache-first for refresh\n });\n }\n\n function sortAndSelectScope(metricList = [], jobMetrics = []) {\n const pendingData = [];\n metricList.forEach((metricName) => {\n const pendingMetric = {\n name: metricName,\n availability: checkMetricAvailability(\n globalMetrics,\n metricName,\n job.cluster,\n job.subCluster,\n ),\n data: null\n };\n const scopesData = jobMetrics.filter((jobMetric) => jobMetric.name == metricName)\n if (scopesData.length > 0) pendingMetric.data = selectScope(scopesData)\n pendingData.push(pendingMetric)\n });\n return pendingData;\n };\n\n const selectScope = (jobMetrics) =>\n jobMetrics.reduce(\n (a, b) =>\n maxScope([a.scope, b.scope]) == a.scope\n ? job.numNodes > 1\n ? a\n : b\n : job.numNodes > 1\n ? b\n : a,\n jobMetrics[0],\n );\n</script>\n\n<tr>\n <td>\n <JobInfo {job} bind:isSelected showJobSelect/>\n </td>\n {#if job.monitoringStatus == 0 || job.monitoringStatus == 2}\n <td colspan={metrics.length}>\n <Card body color=\"warning\">Not monitored or archiving failed</Card>\n </td>\n {:else if $metricsQuery.fetching}\n <td colspan={metrics.length} style=\"text-align: center;\">\n <Spinner secondary />\n </td>\n {:else if $metricsQuery.error}\n <td colspan={metrics.length}>\n <Card body color=\"danger\" class=\"mb-3\">\n {$metricsQuery.error.message.length > 500\n ? $metricsQuery.error.message.substring(0, 499) + \"...\"\n : $metricsQuery.error.message}\n </Card>\n </td>\n {:else}\n {#if showFootprint}\n <td>\n <JobFootprint\n {job}\n width={plotWidth}\n height=\"{plotHeight}px\"\n displayTitle={false}\n />\n </td>\n {/if}\n {#each refinedData as metric, i (metric?.name || i)}\n <td>\n {#if metric?.availability == \"none\"}\n <Card body class=\"mx-2\" color=\"light\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric is not configured for cluster <b>{job.cluster}</b>.</p>\n </Card>\n {:else if metric?.availability == \"disabled\"}\n <Card body class=\"mx-2\" color=\"info\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric has been disabled for subcluster <b>{job.subCluster}</b>.</p>\n </Card>\n {:else if metric?.data}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail, metric.data.name)}\n height={plotHeight}\n timestep={metric.data.metric.timestep}\n scope={metric.data.scope}\n series={metric.data.metric.series}\n statisticsSeries={metric.data.metric?.statisticsSeries}\n metric={metric.data.name}\n cluster={clusterInfos.find((c) => c.name == job.cluster)}\n subCluster={job.subCluster}\n isShared={job.shared != \"none\"}\n zoomState={zoomStates[metric.data.name] || null}\n thresholdState={thresholdStates[metric.data.name] || null}\n {plotSync}\n />\n {:else}\n <Card body class=\"mx-2\" color=\"warning\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric or host was not found in metric store for cluster <b>{job.cluster}</b>:</p>\n <p class=\"mb-1\">Identical messages in <i>{metrics[i]} column</i>: Metric not found.</p>\n <p class=\"mb-1\">Identical messages in <i>job {job.jobId} row</i>: Host not found.</p>\n </Card>\n {/if}\n </td>\n {:else}\n <td>\n <Card body class=\"mx-2\">No metrics selected for display.</Card>\n </td>\n {/each}\n {/if}\n</tr>\n","structuredPatch":[{"oldStart":84,"oldLines":7,"newStart":84,"newLines":6,"lines":[" let thresholdStates = $state({});"," "," /* Derived */","- const resampleDefault = $derived(resampleConfig ? 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{"parentUuid":"68900c45-3187-4d27-9ad6-f377cfdf1c8c","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01QL5pKCvhhSzLHe4WouXFAD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015JFTGMPQi5V3Q8h5YcKjE9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte","old_string":" let selectedResolution = $derived(resampleDefault);\n let isSelected = $derived(previousSelect);","new_string":" // null lets the backend resolve the resolution from the configured resample\n // policy; zoom interactions override it with an explicit value.\n let selectedResolution = $state(null);\n let isSelected = $derived(previousSelect);"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":758,"cache_read_input_tokens":57521,"output_tokens":312,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":758,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":312,"cache_read_input_tokens":57521,"cache_creation_input_tokens":758,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":758},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALAyzDaoSfnU5AAC8nz","type":"assistant","uuid":"5b1185d5-46a4-4a5d-9531-0b9e77ea06d1","timestamp":"2026-06-18T07:28:52.564Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"parentUuid":"5b1185d5-46a4-4a5d-9531-0b9e77ea06d1","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015JFTGMPQi5V3Q8h5YcKjE9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"dcb4b303-2344-4734-bb53-670dae1598ef","timestamp":"2026-06-18T07:28:56.242Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte","oldString":" let selectedResolution = $derived(resampleDefault);\n let isSelected = $derived(previousSelect);","newString":" // null lets the backend resolve the resolution from the configured resample\n // policy; zoom interactions override it with an explicit value.\n let selectedResolution = $state(null);\n let isSelected = $derived(previousSelect);","originalFile":"<!-- \n @component Data row for a single job displaying metric plots\n\n Properties:\n - `job Object`: The job object (GraphQL.Job)\n - `metrics [String]`: Currently selected metrics\n - `plotWidth Number`: Width of the sub-components\n - `plotHeight Number?`: Height of the sub-components [Default: 275]\n - `showFootprint Bool`: Display of footprint component for job [Default: false]\n - `previousSelect Bool`: The latest job select state for job comparison [Default: false]\n - `triggerMetricRefresh Bool?`: If changed to true from upstream, will trigger metric query [Default: false]\n - `selectJob Func`: The callback function to select a job for comparison\n - `unselectJob Func`: The callback function to unselect a job from comparison\n - `globalMetrics [Obj]`: Includes the backend supplied availabilities for cluster and subCluster\n - `clusterInfos [Obj]`: Includes the backend supplied cluster topology\n - `resampleConfig [Obj]`: Includes the backend supplied resampling info\n-->\n\n<script>\n import { queryStore, gql, getContextClient } from \"@urql/svelte\";\n import { Card, Spinner } from \"@sveltestrap/sveltestrap\";\n import { maxScope, checkMetricAvailability } from \"../utils.js\";\n import uPlot from \"uplot\";\n import JobInfo from \"./JobInfo.svelte\";\n import MetricPlot from \"../plots/MetricPlot.svelte\";\n import JobFootprint from \"../helper/JobFootprint.svelte\";\n\n /* Svelte 5 Props */\n let {\n job,\n metrics,\n plotWidth,\n plotHeight = 275,\n showFootprint = false,\n previousSelect = false,\n triggerMetricRefresh = false,\n selectJob,\n unselectJob,\n globalMetrics,\n clusterInfos,\n resampleConfig\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const query = gql`\n query ($id: ID!, $metrics: [String!]!, $scopes: [MetricScope!]!, $selectedResolution: Int) {\n jobMetrics(id: $id, metrics: $metrics, scopes: $scopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* Var Init*/\n // svelte-ignore state_referenced_locally\n let plotSync = uPlot.sync(`jobMetricStack-${job.cluster}-${job.id}`);\n\n /* State Init */\n let zoomStates = $state({});\n let thresholdStates = $state({});\n\n /* Derived */\n const jobId = $derived(job.id);\n const scopes = $derived.by(() => {\n if (job.numNodes == 1) {\n if (job.numAcc >= 1) return [\"core\", \"accelerator\"];\n else return [\"core\"];\n } else {\n return [\"node\"];\n };\n });\n\n let selectedResolution = $derived(resampleDefault);\n let isSelected = $derived(previousSelect);\n let metricsQuery = $derived(queryStore({\n client: client,\n query: query,\n variables: { id: jobId, metrics, scopes, selectedResolution },\n })\n );\n\n const refinedData = $derived($metricsQuery?.data?.jobMetrics ? sortAndSelectScope(metrics, $metricsQuery.data.jobMetrics) : []);\n\n /* Effects */\n $effect(() => {\n if (job.state === 'running' && triggerMetricRefresh === true) {\n refreshMetrics();\n }\n });\n\n $effect(() => {\n if (isSelected == true && previousSelect == false) {\n selectJob(jobId)\n } else if (isSelected == false && previousSelect == true) {\n unselectJob(jobId)\n }\n });\n\n /* Functions */\n function handleZoom(detail, metric) {\n // Buffer last zoom state to allow seamless zoom on rerender\n // console.log('Update zoomState for/with:', metric, {...detail.lastZoomState})\n zoomStates[metric] = detail?.lastZoomState ? {...detail.lastZoomState} : null;\n // Handle to correctly reset on summed metric scope change\n // console.log('Update thresholdState for/with:', metric, detail.lastThreshold)\n thresholdStates[metric] = detail?.lastThreshold ? detail.lastThreshold : null;\n // Triggers GQL\n if (detail?.newRes) { \n // console.log('Update selectedResolution for/with:', metric, detail.newRes)\n selectedResolution = detail.newRes;\n }\n }\n\n function refreshMetrics() {\n metricsQuery = queryStore({\n client: client,\n query: query,\n variables: { id: jobId, metrics, scopes, selectedResolution },\n // requestPolicy: 'network-only' // use default cache-first for refresh\n });\n }\n\n function sortAndSelectScope(metricList = [], jobMetrics = []) {\n const pendingData = [];\n metricList.forEach((metricName) => {\n const pendingMetric = {\n name: metricName,\n availability: checkMetricAvailability(\n globalMetrics,\n metricName,\n job.cluster,\n job.subCluster,\n ),\n data: null\n };\n const scopesData = jobMetrics.filter((jobMetric) => jobMetric.name == metricName)\n if (scopesData.length > 0) pendingMetric.data = selectScope(scopesData)\n pendingData.push(pendingMetric)\n });\n return pendingData;\n };\n\n const selectScope = (jobMetrics) =>\n jobMetrics.reduce(\n (a, b) =>\n maxScope([a.scope, b.scope]) == a.scope\n ? job.numNodes > 1\n ? a\n : b\n : job.numNodes > 1\n ? b\n : a,\n jobMetrics[0],\n );\n</script>\n\n<tr>\n <td>\n <JobInfo {job} bind:isSelected showJobSelect/>\n </td>\n {#if job.monitoringStatus == 0 || job.monitoringStatus == 2}\n <td colspan={metrics.length}>\n <Card body color=\"warning\">Not monitored or archiving failed</Card>\n </td>\n {:else if $metricsQuery.fetching}\n <td colspan={metrics.length} style=\"text-align: center;\">\n <Spinner secondary />\n </td>\n {:else if $metricsQuery.error}\n <td colspan={metrics.length}>\n <Card body color=\"danger\" class=\"mb-3\">\n {$metricsQuery.error.message.length > 500\n ? $metricsQuery.error.message.substring(0, 499) + \"...\"\n : $metricsQuery.error.message}\n </Card>\n </td>\n {:else}\n {#if showFootprint}\n <td>\n <JobFootprint\n {job}\n width={plotWidth}\n height=\"{plotHeight}px\"\n displayTitle={false}\n />\n </td>\n {/if}\n {#each refinedData as metric, i (metric?.name || i)}\n <td>\n {#if metric?.availability == \"none\"}\n <Card body class=\"mx-2\" color=\"light\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric is not configured for cluster <b>{job.cluster}</b>.</p>\n </Card>\n {:else if metric?.availability == \"disabled\"}\n <Card body class=\"mx-2\" color=\"info\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric has been disabled for subcluster <b>{job.subCluster}</b>.</p>\n </Card>\n {:else if metric?.data}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail, metric.data.name)}\n height={plotHeight}\n timestep={metric.data.metric.timestep}\n scope={metric.data.scope}\n series={metric.data.metric.series}\n statisticsSeries={metric.data.metric?.statisticsSeries}\n metric={metric.data.name}\n cluster={clusterInfos.find((c) => c.name == job.cluster)}\n subCluster={job.subCluster}\n isShared={job.shared != \"none\"}\n zoomState={zoomStates[metric.data.name] || null}\n thresholdState={thresholdStates[metric.data.name] || null}\n {plotSync}\n />\n {:else}\n <Card body class=\"mx-2\" color=\"warning\">\n <p>No dataset(s) returned for <b>{metrics[i]}</b></p>\n <p class=\"mb-1\">Metric or host was not found in metric store for cluster <b>{job.cluster}</b>:</p>\n <p class=\"mb-1\">Identical messages in <i>{metrics[i]} column</i>: Metric not found.</p>\n <p class=\"mb-1\">Identical messages in <i>job {job.jobId} row</i>: Host not found.</p>\n </Card>\n {/if}\n </td>\n {:else}\n <td>\n <Card body class=\"mx-2\">No metrics selected for display.</Card>\n </td>\n {/each}\n {/if}\n</tr>\n","structuredPatch":[{"oldStart":94,"oldLines":7,"newStart":94,"newLines":9,"lines":[" };"," });"," ","- let selectedResolution = $derived(resampleDefault);","+ // null lets the backend resolve the resolution from the configured resample","+ // policy; zoom interactions override it with an explicit value.","+ let selectedResolution = $state(null);"," let isSelected = $derived(previousSelect);"," let metricsQuery = $derived(queryStore({"," client: client,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5b1185d5-46a4-4a5d-9531-0b9e77ea06d1","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
{"type":"last-prompt","lastPrompt":"With the current branch the frontend does not show any jobs in the job list. There is a comsole error: Uncaught TypeError: t.resampleConfig.resolutions is not iterable (cannot read property undefined)…","leafUuid":"dcb4b303-2344-4734-bb53-670dae1598ef","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"223bc5b4-9a99-4fdd-b240-1fb813bff28a","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B2ZwXMWvEWZaMDX1GtibYX","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"15f4e1ab-f924-4da7-88e9-d51ca51de9b3","timestamp":"2026-06-18T07:28:59.993Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte","oldString":" const resampleConfig = getContext(\"resampling\") || null;\n const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\n const subQuery = gql`","newString":" const resampleConfig = getContext(\"resampling\") || null;\n const subQuery = gql`","originalFile":"<!--\n @component Metric plot wrapper with user scope selection; used in job detail view\n\n Properties:\n - `job Object`: The GQL job object\n - `metricName String`: The metrics name\n - `metricUnit Object`: The metrics GQL unit object\n - `nativeScope String`: The metrics native scope\n - `presetScopes [String]`: The preset scopes returned for this metric\n - `isShared Bool?`: If this job used shared resources; will adapt threshold indicators accordingly in downstream plots [Default: false]\n-->\n\n<script>\n import { \n getContext,\n } from \"svelte\";\n import { \n queryStore,\n gql,\n getContextClient \n } from \"@urql/svelte\";\n import {\n InputGroup,\n InputGroupText,\n Spinner,\n Card,\n } from \"@sveltestrap/sveltestrap\";\n import { \n minScope,\n } from \"../generic/utils.js\";\n import MetricPlot from \"../generic/plots/MetricPlot.svelte\";\n\n /* Svelte 5 Props */\n let {\n job,\n metricName,\n metricUnit,\n nativeScope,\n presetScopes,\n isShared = false,\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const statsPattern = /(.*)-stat$/;\n const resampleConfig = getContext(\"resampling\") || null;\n const resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;\n const subQuery = gql`\n query ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* State Init */\n let selectedResolution = $state(resampleDefault);\n let selectedHost = $state(null);\n let zoomState = $state(null);\n let thresholdState = $state(null);\n\n /* Derived */\n let requestedScopes = $derived(presetScopes);\n const unit = $derived.by(() => { return (metricUnit?.prefix ? metricUnit.prefix : \"\") + (metricUnit?.base ? metricUnit.base : \"\")});\n const metricData = $derived(queryStore({\n client: client,\n query: subQuery,\n variables: { \n dbid: job.id,\n selectedMetrics: [metricName],\n selectedScopes: [...requestedScopes],\n selectedResolution\n },\n // Never user network-only: causes reactive load-loop!\n })\n );\n\n const rawData = $derived($metricData?.data ? $metricData.data.singleUpdate.map((x) => x.metric) : []);\n const availableScopes = $derived($metricData?.data ? $metricData.data.singleUpdate.map((x) => x.scope) : presetScopes);\n let selectedScope = $derived(minScope(availableScopes));\n const patternMatches = $derived(statsPattern.exec(selectedScope));\n const selectedScopeIndex = $derived.by(() => {\n if (!patternMatches) {\n return availableScopes.findIndex((s) => s == selectedScope);\n } else {\n return availableScopes.findIndex((s) => s == patternMatches[1]);\n }\n });\n const selectedData = $derived(rawData[selectedScopeIndex]);\n const selectedSeries = $derived(rawData[selectedScopeIndex]?.series?.filter(\n (series) => selectedHost == null || series.hostname == selectedHost\n )\n );\n const statsSeries = $derived(rawData.map((rd) => rd?.statisticsSeries ? rd.statisticsSeries : null));\n\n /* Effect */\n $effect(() => {\n // Only triggered once\n if (selectedScope == \"load-all\") {\n requestedScopes = [\"node\", \"socket\", \"core\", \"accelerator\"];\n }\n });\n\n /* Functions */\n function handleZoom(detail) {\n // Buffer last zoom state to allow seamless zoom on rerender\n // console.log('Update zoomState with:', {...detail.lastZoomState})\n zoomState = detail?.lastZoomState ? {...detail.lastZoomState} : null;\n // Handle to correctly reset on summed metric scope change\n // console.log('Update thresholdState with:', detail.lastThreshold)\n thresholdState = detail?.lastThreshold ? detail.lastThreshold : null;\n // Triggers GQL\n if (detail?.newRes) { \n // console.log('Update selectedResolution with:', detail.newRes)\n selectedResolution = detail.newRes;\n }\n };\n</script>\n\n<InputGroup class=\"mt-2\">\n <InputGroupText style=\"min-width: 150px;\">\n {metricName} ({unit})\n </InputGroupText>\n <select class=\"form-select\" bind:value={selectedScope}>\n {#each availableScopes as scope, index}\n <option value={scope}>{scope}</option>\n {#if statsSeries[index]}\n <option value={scope + '-stat'}>stats series ({scope})</option>\n {/if}\n {/each}\n {#if requestedScopes.length == 1 && nativeScope != \"node\"}\n <option value={\"load-all\"}>Load all...</option>\n {/if}\n </select>\n {#if job.resources.length > 1}\n <select class=\"form-select\" bind:value={selectedHost} disabled={patternMatches}>\n <option value={null}>All Hosts</option>\n {#each job.resources as { hostname }}\n <option value={hostname}>{hostname}</option>\n {/each}\n </select>\n {/if}\n</InputGroup>\n{#key selectedSeries}\n {#if $metricData.fetching}\n <Spinner />\n {:else if $metricData.error}\n <Card body color=\"danger\">{$metricData.error.message}</Card>\n {:else if selectedSeries != null && !patternMatches}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail)}\n cluster={job.cluster}\n subCluster={job.subCluster}\n timestep={selectedData.timestep}\n scope={selectedScope}\n metric={metricName}\n series={selectedSeries}\n {isShared}\n {zoomState}\n {thresholdState}\n enableFlip\n />\n {:else if statsSeries[selectedScopeIndex] != null && patternMatches}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail)}\n cluster={job.cluster}\n subCluster={job.subCluster}\n timestep={selectedData.timestep}\n scope={selectedScope}\n metric={metricName}\n series={selectedSeries}\n {isShared}\n {zoomState}\n {thresholdState}\n statisticsSeries={statsSeries[selectedScopeIndex]}\n enableFlip\n />\n {/if}\n{/key}\n","structuredPatch":[{"oldStart":44,"oldLines":7,"newStart":44,"newLines":6,"lines":[" const client = getContextClient();"," const statsPattern = /(.*)-stat$/;"," const resampleConfig = getContext(\"resampling\") || null;","- const resampleDefault = resampleConfig ? 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(file state is current in your context — no need to Read it back)"}]},"uuid":"358cc07d-4dd7-45e9-a339-c95f8d4c7a9d","timestamp":"2026-06-18T07:29:03.600Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte","oldString":" /* State Init */\n let selectedResolution = $state(resampleDefault);","newString":" /* State Init */\n // null lets the backend resolve the resolution from the configured resample\n // policy; zoom interactions override it with an explicit value.\n let selectedResolution = $state(null);","originalFile":"<!--\n @component Metric plot wrapper with user scope selection; used in job detail view\n\n Properties:\n - `job Object`: The GQL job object\n - `metricName String`: The metrics name\n - `metricUnit Object`: The metrics GQL unit object\n - `nativeScope String`: The metrics native scope\n - `presetScopes [String]`: The preset scopes returned for this metric\n - `isShared Bool?`: If this job used shared resources; will adapt threshold indicators accordingly in downstream plots [Default: false]\n-->\n\n<script>\n import { \n getContext,\n } from \"svelte\";\n import { \n queryStore,\n gql,\n getContextClient \n } from \"@urql/svelte\";\n import {\n InputGroup,\n InputGroupText,\n Spinner,\n Card,\n } from \"@sveltestrap/sveltestrap\";\n import { \n minScope,\n } from \"../generic/utils.js\";\n import MetricPlot from \"../generic/plots/MetricPlot.svelte\";\n\n /* Svelte 5 Props */\n let {\n job,\n metricName,\n metricUnit,\n nativeScope,\n presetScopes,\n isShared = false,\n } = $props();\n\n /* Const Init */\n const client = getContextClient();\n const statsPattern = /(.*)-stat$/;\n const resampleConfig = getContext(\"resampling\") || null;\n const subQuery = gql`\n query ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n name\n scope\n metric {\n unit {\n prefix\n base\n }\n timestep\n statisticsSeries {\n min\n mean\n median\n max\n }\n series {\n hostname\n id\n data\n statistics {\n min\n avg\n max\n }\n }\n }\n }\n }\n `;\n\n /* State Init */\n let selectedResolution = $state(resampleDefault);\n let selectedHost = $state(null);\n let zoomState = $state(null);\n let thresholdState = $state(null);\n\n /* Derived */\n let requestedScopes = $derived(presetScopes);\n const unit = $derived.by(() => { return (metricUnit?.prefix ? metricUnit.prefix : \"\") + (metricUnit?.base ? metricUnit.base : \"\")});\n const metricData = $derived(queryStore({\n client: client,\n query: subQuery,\n variables: { \n dbid: job.id,\n selectedMetrics: [metricName],\n selectedScopes: [...requestedScopes],\n selectedResolution\n },\n // Never user network-only: causes reactive load-loop!\n })\n );\n\n const rawData = $derived($metricData?.data ? $metricData.data.singleUpdate.map((x) => x.metric) : []);\n const availableScopes = $derived($metricData?.data ? $metricData.data.singleUpdate.map((x) => x.scope) : presetScopes);\n let selectedScope = $derived(minScope(availableScopes));\n const patternMatches = $derived(statsPattern.exec(selectedScope));\n const selectedScopeIndex = $derived.by(() => {\n if (!patternMatches) {\n return availableScopes.findIndex((s) => s == selectedScope);\n } else {\n return availableScopes.findIndex((s) => s == patternMatches[1]);\n }\n });\n const selectedData = $derived(rawData[selectedScopeIndex]);\n const selectedSeries = $derived(rawData[selectedScopeIndex]?.series?.filter(\n (series) => selectedHost == null || series.hostname == selectedHost\n )\n );\n const statsSeries = $derived(rawData.map((rd) => rd?.statisticsSeries ? rd.statisticsSeries : null));\n\n /* Effect */\n $effect(() => {\n // Only triggered once\n if (selectedScope == \"load-all\") {\n requestedScopes = [\"node\", \"socket\", \"core\", \"accelerator\"];\n }\n });\n\n /* Functions */\n function handleZoom(detail) {\n // Buffer last zoom state to allow seamless zoom on rerender\n // console.log('Update zoomState with:', {...detail.lastZoomState})\n zoomState = detail?.lastZoomState ? {...detail.lastZoomState} : null;\n // Handle to correctly reset on summed metric scope change\n // console.log('Update thresholdState with:', detail.lastThreshold)\n thresholdState = detail?.lastThreshold ? detail.lastThreshold : null;\n // Triggers GQL\n if (detail?.newRes) { \n // console.log('Update selectedResolution with:', detail.newRes)\n selectedResolution = detail.newRes;\n }\n };\n</script>\n\n<InputGroup class=\"mt-2\">\n <InputGroupText style=\"min-width: 150px;\">\n {metricName} ({unit})\n </InputGroupText>\n <select class=\"form-select\" bind:value={selectedScope}>\n {#each availableScopes as scope, index}\n <option value={scope}>{scope}</option>\n {#if statsSeries[index]}\n <option value={scope + '-stat'}>stats series ({scope})</option>\n {/if}\n {/each}\n {#if requestedScopes.length == 1 && nativeScope != \"node\"}\n <option value={\"load-all\"}>Load all...</option>\n {/if}\n </select>\n {#if job.resources.length > 1}\n <select class=\"form-select\" bind:value={selectedHost} disabled={patternMatches}>\n <option value={null}>All Hosts</option>\n {#each job.resources as { hostname }}\n <option value={hostname}>{hostname}</option>\n {/each}\n </select>\n {/if}\n</InputGroup>\n{#key selectedSeries}\n {#if $metricData.fetching}\n <Spinner />\n {:else if $metricData.error}\n <Card body color=\"danger\">{$metricData.error.message}</Card>\n {:else if selectedSeries != null && !patternMatches}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail)}\n cluster={job.cluster}\n subCluster={job.subCluster}\n timestep={selectedData.timestep}\n scope={selectedScope}\n metric={metricName}\n series={selectedSeries}\n {isShared}\n {zoomState}\n {thresholdState}\n enableFlip\n />\n {:else if statsSeries[selectedScopeIndex] != null && patternMatches}\n <MetricPlot\n onZoom={(detail) => handleZoom(detail)}\n cluster={job.cluster}\n subCluster={job.subCluster}\n timestep={selectedData.timestep}\n scope={selectedScope}\n metric={metricName}\n series={selectedSeries}\n {isShared}\n {zoomState}\n {thresholdState}\n statisticsSeries={statsSeries[selectedScopeIndex]}\n enableFlip\n />\n {/if}\n{/key}\n","structuredPatch":[{"oldStart":77,"oldLines":7,"newStart":77,"newLines":9,"lines":[" `;"," "," /* State Init */","- let selectedResolution = $state(resampleDefault);","+ // null lets the backend resolve the resolution from the configured resample","+ // policy; zoom interactions override it with an explicit value.","+ let selectedResolution = $state(null);"," let selectedHost = $state(null);"," let zoomState = $state(null);"," let thresholdState = $state(null);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3a4e8a78-a9c1-453b-9257-18cf8e0c0a8b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample"}
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{"parentUuid":"7fab810e-ed85-40c9-9528-db56f70b5b2b","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TN6hH4AC4uzfZk6Txeye8j","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"94aa4dab-54f3-4663-a7a8-131ea705993b","timestamp":"2026-06-18T07:29:09.368Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte","oldString":" const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));","newString":" const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));","originalFile":"<!--\n @component Main cluster node status view component; renders overview or list depending on type\n\n Properties:\n - `displayType String?`: The type of node display ['OVERVIEW' || 'LIST']\n - `cluster String`: The cluster to show status information for [Default: null]\n - `subCluster String`: The subCluster to show status information for [Default: null]\n - `presetFrom Date?`: Custom Time Range selection 'from' [Default: null]\n - `presetTo Date?`: Custom Time Range selection 'to' [Default: null]\n-->\n\n<script>\n import { getContext } from \"svelte\";\n import {\n Row,\n Col,\n Card,\n Input,\n InputGroup,\n InputGroupText,\n Icon,\n Button,\n } from \"@sveltestrap/sveltestrap\";\n import {\n gql,\n getContextClient,\n mutationStore,\n } from \"@urql/svelte\";\n\n import { init } from \"./generic/utils.js\";\n import NodeOverview from \"./systems/NodeOverview.svelte\";\n import NodeList from \"./systems/NodeList.svelte\";\n import MetricSelection from \"./generic/select/MetricSelection.svelte\";\n import TimeSelection from \"./generic/select/TimeSelection.svelte\";\n import Refresher from \"./generic/helper/Refresher.svelte\";\n\n /*\n Note 1: \"Sorting\" as use-case ignored for now, probably default to alphanumerical on hostnames of cluster (handled in frontend at the moment)\n Note 2: Add Idle State Filter (== No allocated Jobs) [Frontend?] : Cannot be handled by CCMS, requires secondary job query and refiltering of visible nodes\n */\n\n /* Scelte 5 Props */\n let {\n displayType,\n cluster = null,\n subCluster = null,\n presetFrom = null,\n presetTo = null,\n } = $props();\n\n /* Const Init */\n const { query: initq } = init();\n const client = getContextClient();\n const stateOptions = ['all', 'allocated', 'idle', 'reserved', 'mixed', 'down', 'unknown', 'notindb'];\n const nowDate = new Date(Date.now());\n\n /* Var Init */\n let timeoutId = null;\n\n /* State Init */\n let hostnameFilter = $state(\"\");\n let nodeStateFilter = $state(\"all\");\n let pendingHostnameFilter = $state(\"\");\n let isMetricsSelectionOpen = $state(false);\n\n /* Derived Init Return */\n const thisInit = $derived($initq?.data ? true : false);\n\n /* Derived States */\n const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const resampleResolutions = $derived(resampleConfig ? [...resampleConfig.resolutions] : []);\n const resampleDefault = $derived(resampleConfig ? Math.max(...resampleConfig.resolutions) : 0);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));\n\n const systemMetrics = $derived(globalMetrics ? [...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n const systemUnits = $derived.by(() => {\n const pendingUnits = {};\n if (thisInit && systemMetrics.length > 0) {\n for (let sm of systemMetrics) {\n pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n };\n }\n return {...pendingUnits};\n });\n\n let selectedResolution = $derived(resampleDefault);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n\n let selectedMetric = $derived.by(() => {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length !== 0) return systemMetrics[0].name\n }\n return \"\"\n });\n\n let selectedMetrics = $derived.by(() => {\n let configKey = `nodeList_selectedMetrics`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length >= 3) return [systemMetrics[0].name, systemMetrics[1].name, systemMetrics[2].name]\n }\n return []\n });\n\n /* Effects */\n $effect(() => {\n if (displayNodeOverview) {\n updateOverviewMetric(selectedMetric)\n }\n });\n\n /* Functions */\n // Wait after input for some time to prevent too many requests\n function updateHostnameFilter() {\n if (timeoutId != null) clearTimeout(timeoutId);\n timeoutId = setTimeout(function () {\n hostnameFilter = pendingHostnameFilter;\n }, 500);\n };\n\n function updateOverviewMetric(newMetric) {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n updateConfigurationMutation({\n name: configKey,\n value: JSON.stringify(newMetric),\n }).subscribe((res) => {\n if (res.fetching === false && res.error) {\n throw res.error;\n }\n });\n };\n\n const updateConfigurationMutation = ({ name, value }) => {\n return mutationStore({\n client: client,\n query: gql`\n mutation ($name: String!, $value: String!) {\n updateConfiguration(name: $name, value: $value)\n }\n `,\n variables: { name, value },\n });\n };\n\n</script>\n\n<!-- ROW1: Tools-->\n<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\n {#if thisInit}\n <!-- List Metric Select Col-->\n {#if !displayNodeOverview}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n <Button\n outline\n color=\"primary\"\n onclick={() => (isMetricsSelectionOpen = true)}\n >\n {selectedMetrics.length} selected\n </Button>\n </InputGroup>\n </Col>\n {#if resampleConfig}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n <InputGroupText>Resolution</InputGroupText>\n <Input type=\"select\" bind:value={selectedResolution}>\n {#each resampleResolutions as res}\n <option value={res}\n >{res} sec</option\n >\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Node Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n <InputGroupText>Node(s)</InputGroupText>\n <Input\n placeholder=\"Filter hostname ...\"\n type=\"text\"\n bind:value={pendingHostnameFilter}\n oninput={updateHostnameFilter}\n />\n </InputGroup>\n </Col>\n <!-- State Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"clipboard2-pulse\" /></InputGroupText>\n <InputGroupText>State</InputGroupText>\n <Input type=\"select\" bind:value={nodeStateFilter}>\n {#each stateOptions as so}\n <option value={so}>{so.charAt(0).toUpperCase() + so.slice(1)}</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n <!-- Range Col-->\n <Col>\n <TimeSelection\n presetFrom={from}\n presetTo={to}\n applyTime={(newFrom, newTo) => {\n from = newFrom;\n to = newTo;\n }}\n />\n </Col>\n <!-- Overview Metric Col-->\n {#if displayNodeOverview}\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText>Metric</InputGroupText>\n <Input type=\"select\" bind:value={selectedMetric}>\n {#each systemMetrics as metric (metric.name)}\n <option value={metric.name}\n >{metric.name} {systemUnits[metric.name] ? \"(\"+systemUnits[metric.name]+\")\" : \"\"}</option\n >\n {:else}\n <option disabled>No available options</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Refresh Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <Refresher\n onRefresh={() => {\n const diff = Date.now() - to;\n from = new Date(from.getTime() + diff);\n to = new Date(to.getTime() + diff);\n }}\n />\n </Col>\n</Row>\n\n<!-- ROW2: Content-->\n{#if displayType !== \"OVERVIEW\" && displayType !== \"LIST\"}\n <Row>\n <Col>\n <Card body color=\"danger\">Unknown displayList type! </Card>\n </Col>\n </Row>\n{:else}\n {#if displayNodeOverview}\n <!-- ROW2-1: Node Overview (Grid Included)-->\n <NodeOverview {cluster} {ccconfig} {selectedMetric} {globalMetrics} {from} {to} {hostnameFilter} {nodeStateFilter}/>\n {:else}\n <!-- ROW2-2: Node List (Grid Included)-->\n <NodeList pendingSelectedMetrics={selectedMetrics} {cluster} {subCluster}\n {selectedResolution} {hostnameFilter} {nodeStateFilter} {from} {to} {systemUnits}/>\n {/if}\n{/if}\n\n{#if !displayNodeOverview}\n <MetricSelection\n bind:isOpen={isMetricsSelectionOpen}\n presetMetrics={selectedMetrics}\n {cluster}\n {subCluster}\n {globalMetrics}\n configName=\"nodeList_selectedMetrics\"\n applyMetrics={(newMetrics) => \n selectedMetrics = [...newMetrics]\n }\n />\n{/if}\n","structuredPatch":[{"oldStart":70,"oldLines":8,"newStart":70,"newLines":6,"lines":[" const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);"," const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);"," const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);","- const resampleResolutions = $derived(resampleConfig ? 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{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"716b92e2-8ede-4c64-9cd5-4ae1ffedd29c","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0124d81cnzzXNpBRGJ4jHUo7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"97cfe575-76f2-45d6-842a-6402c64c304a","timestamp":"2026-06-18T07:29:13.348Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte","oldString":" let selectedResolution = $derived(resampleDefault);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));","newString":" // null lets the backend resolve the resolution from the configured resample policy.\n let selectedResolution = $state(null);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));","originalFile":"<!--\n @component Main cluster node status view component; renders overview or list depending on type\n\n Properties:\n - `displayType String?`: The type of node display ['OVERVIEW' || 'LIST']\n - `cluster String`: The cluster to show status information for [Default: null]\n - `subCluster String`: The subCluster to show status information for [Default: null]\n - `presetFrom Date?`: Custom Time Range selection 'from' [Default: null]\n - `presetTo Date?`: Custom Time Range selection 'to' [Default: null]\n-->\n\n<script>\n import { getContext } from \"svelte\";\n import {\n Row,\n Col,\n Card,\n Input,\n InputGroup,\n InputGroupText,\n Icon,\n Button,\n } from \"@sveltestrap/sveltestrap\";\n import {\n gql,\n getContextClient,\n mutationStore,\n } from \"@urql/svelte\";\n\n import { init } from \"./generic/utils.js\";\n import NodeOverview from \"./systems/NodeOverview.svelte\";\n import NodeList from \"./systems/NodeList.svelte\";\n import MetricSelection from \"./generic/select/MetricSelection.svelte\";\n import TimeSelection from \"./generic/select/TimeSelection.svelte\";\n import Refresher from \"./generic/helper/Refresher.svelte\";\n\n /*\n Note 1: \"Sorting\" as use-case ignored for now, probably default to alphanumerical on hostnames of cluster (handled in frontend at the moment)\n Note 2: Add Idle State Filter (== No allocated Jobs) [Frontend?] : Cannot be handled by CCMS, requires secondary job query and refiltering of visible nodes\n */\n\n /* Scelte 5 Props */\n let {\n displayType,\n cluster = null,\n subCluster = null,\n presetFrom = null,\n presetTo = null,\n } = $props();\n\n /* Const Init */\n const { query: initq } = init();\n const client = getContextClient();\n const stateOptions = ['all', 'allocated', 'idle', 'reserved', 'mixed', 'down', 'unknown', 'notindb'];\n const nowDate = new Date(Date.now());\n\n /* Var Init */\n let timeoutId = null;\n\n /* State Init */\n let hostnameFilter = $state(\"\");\n let nodeStateFilter = $state(\"all\");\n let pendingHostnameFilter = $state(\"\");\n let isMetricsSelectionOpen = $state(false);\n\n /* Derived Init Return */\n const thisInit = $derived($initq?.data ? true : false);\n\n /* Derived States */\n const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));\n\n const systemMetrics = $derived(globalMetrics ? [...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n const systemUnits = $derived.by(() => {\n const pendingUnits = {};\n if (thisInit && systemMetrics.length > 0) {\n for (let sm of systemMetrics) {\n pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n };\n }\n return {...pendingUnits};\n });\n\n let selectedResolution = $derived(resampleDefault);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n\n let selectedMetric = $derived.by(() => {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length !== 0) return systemMetrics[0].name\n }\n return \"\"\n });\n\n let selectedMetrics = $derived.by(() => {\n let configKey = `nodeList_selectedMetrics`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length >= 3) return [systemMetrics[0].name, systemMetrics[1].name, systemMetrics[2].name]\n }\n return []\n });\n\n /* Effects */\n $effect(() => {\n if (displayNodeOverview) {\n updateOverviewMetric(selectedMetric)\n }\n });\n\n /* Functions */\n // Wait after input for some time to prevent too many requests\n function updateHostnameFilter() {\n if (timeoutId != null) clearTimeout(timeoutId);\n timeoutId = setTimeout(function () {\n hostnameFilter = pendingHostnameFilter;\n }, 500);\n };\n\n function updateOverviewMetric(newMetric) {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n updateConfigurationMutation({\n name: configKey,\n value: JSON.stringify(newMetric),\n }).subscribe((res) => {\n if (res.fetching === false && res.error) {\n throw res.error;\n }\n });\n };\n\n const updateConfigurationMutation = ({ name, value }) => {\n return mutationStore({\n client: client,\n query: gql`\n mutation ($name: String!, $value: String!) {\n updateConfiguration(name: $name, value: $value)\n }\n `,\n variables: { name, value },\n });\n };\n\n</script>\n\n<!-- ROW1: Tools-->\n<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\n {#if thisInit}\n <!-- List Metric Select Col-->\n {#if !displayNodeOverview}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n <Button\n outline\n color=\"primary\"\n onclick={() => (isMetricsSelectionOpen = true)}\n >\n {selectedMetrics.length} selected\n </Button>\n </InputGroup>\n </Col>\n {#if resampleConfig}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n <InputGroupText>Resolution</InputGroupText>\n <Input type=\"select\" bind:value={selectedResolution}>\n {#each resampleResolutions as res}\n <option value={res}\n >{res} sec</option\n >\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Node Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n <InputGroupText>Node(s)</InputGroupText>\n <Input\n placeholder=\"Filter hostname ...\"\n type=\"text\"\n bind:value={pendingHostnameFilter}\n oninput={updateHostnameFilter}\n />\n </InputGroup>\n </Col>\n <!-- State Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"clipboard2-pulse\" /></InputGroupText>\n <InputGroupText>State</InputGroupText>\n <Input type=\"select\" bind:value={nodeStateFilter}>\n {#each stateOptions as so}\n <option value={so}>{so.charAt(0).toUpperCase() + so.slice(1)}</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n <!-- Range Col-->\n <Col>\n <TimeSelection\n presetFrom={from}\n presetTo={to}\n applyTime={(newFrom, newTo) => {\n from = newFrom;\n to = newTo;\n }}\n />\n </Col>\n <!-- Overview Metric Col-->\n {#if displayNodeOverview}\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText>Metric</InputGroupText>\n <Input type=\"select\" bind:value={selectedMetric}>\n {#each systemMetrics as metric (metric.name)}\n <option value={metric.name}\n >{metric.name} {systemUnits[metric.name] ? \"(\"+systemUnits[metric.name]+\")\" : \"\"}</option\n >\n {:else}\n <option disabled>No available options</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Refresh Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <Refresher\n onRefresh={() => {\n const diff = Date.now() - to;\n from = new Date(from.getTime() + diff);\n to = new Date(to.getTime() + diff);\n }}\n />\n </Col>\n</Row>\n\n<!-- ROW2: Content-->\n{#if displayType !== \"OVERVIEW\" && displayType !== \"LIST\"}\n <Row>\n <Col>\n <Card body color=\"danger\">Unknown displayList type! </Card>\n </Col>\n </Row>\n{:else}\n {#if displayNodeOverview}\n <!-- ROW2-1: Node Overview (Grid Included)-->\n <NodeOverview {cluster} {ccconfig} {selectedMetric} {globalMetrics} {from} {to} {hostnameFilter} {nodeStateFilter}/>\n {:else}\n <!-- ROW2-2: Node List (Grid Included)-->\n <NodeList pendingSelectedMetrics={selectedMetrics} {cluster} {subCluster}\n {selectedResolution} {hostnameFilter} {nodeStateFilter} {from} {to} {systemUnits}/>\n {/if}\n{/if}\n\n{#if !displayNodeOverview}\n <MetricSelection\n bind:isOpen={isMetricsSelectionOpen}\n presetMetrics={selectedMetrics}\n {cluster}\n {subCluster}\n {globalMetrics}\n configName=\"nodeList_selectedMetrics\"\n applyMetrics={(newMetrics) => \n selectedMetrics = [...newMetrics]\n }\n />\n{/if}\n","structuredPatch":[{"oldStart":83,"oldLines":7,"newStart":83,"newLines":8,"lines":[" return {...pendingUnits};"," });"," ","- let selectedResolution = $derived(resampleDefault);","+ // null lets the backend resolve the resolution from the configured resample policy.","+ let selectedResolution = $state(null);"," let to = $derived(presetTo ? presetTo : new Date(Date.now()));"," let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"716b92e2-8ede-4c64-9cd5-4ae1ffedd29c","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"a91dcca1-2d3b-489b-827d-672fee79de82","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015kPB5dKSmDP7NQmSv9uYQ5","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"6b0c9308-e012-4b58-8454-f8b3086f5fd4","timestamp":"2026-06-18T07:29:19.213Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Systems.root.svelte","oldString":"<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">","newString":"<Row cols={{ xs: 2, lg: 5 }} class=\"mb-3\">","originalFile":"<!--\n @component Main cluster node status view component; renders overview or list depending on type\n\n Properties:\n - `displayType String?`: The type of node display ['OVERVIEW' || 'LIST']\n - `cluster String`: The cluster to show status information for [Default: null]\n - `subCluster String`: The subCluster to show status information for [Default: null]\n - `presetFrom Date?`: Custom Time Range selection 'from' [Default: null]\n - `presetTo Date?`: Custom Time Range selection 'to' [Default: null]\n-->\n\n<script>\n import { getContext } from \"svelte\";\n import {\n Row,\n Col,\n Card,\n Input,\n InputGroup,\n InputGroupText,\n Icon,\n Button,\n } from \"@sveltestrap/sveltestrap\";\n import {\n gql,\n getContextClient,\n mutationStore,\n } from \"@urql/svelte\";\n\n import { init } from \"./generic/utils.js\";\n import NodeOverview from \"./systems/NodeOverview.svelte\";\n import NodeList from \"./systems/NodeList.svelte\";\n import MetricSelection from \"./generic/select/MetricSelection.svelte\";\n import TimeSelection from \"./generic/select/TimeSelection.svelte\";\n import Refresher from \"./generic/helper/Refresher.svelte\";\n\n /*\n Note 1: \"Sorting\" as use-case ignored for now, probably default to alphanumerical on hostnames of cluster (handled in frontend at the moment)\n Note 2: Add Idle State Filter (== No allocated Jobs) [Frontend?] : Cannot be handled by CCMS, requires secondary job query and refiltering of visible nodes\n */\n\n /* Scelte 5 Props */\n let {\n displayType,\n cluster = null,\n subCluster = null,\n presetFrom = null,\n presetTo = null,\n } = $props();\n\n /* Const Init */\n const { query: initq } = init();\n const client = getContextClient();\n const stateOptions = ['all', 'allocated', 'idle', 'reserved', 'mixed', 'down', 'unknown', 'notindb'];\n const nowDate = new Date(Date.now());\n\n /* Var Init */\n let timeoutId = null;\n\n /* State Init */\n let hostnameFilter = $state(\"\");\n let nodeStateFilter = $state(\"all\");\n let pendingHostnameFilter = $state(\"\");\n let isMetricsSelectionOpen = $state(false);\n\n /* Derived Init Return */\n const thisInit = $derived($initq?.data ? true : false);\n\n /* Derived States */\n const ccconfig = $derived(thisInit ? getContext(\"cc-config\") : null);\n const globalMetrics = $derived(thisInit ? getContext(\"globalMetrics\") : null);\n const resampleConfig = $derived(thisInit ? getContext(\"resampling\") : null);\n const displayNodeOverview = $derived((displayType === 'OVERVIEW'));\n\n const systemMetrics = $derived(globalMetrics ? [...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n const systemUnits = $derived.by(() => {\n const pendingUnits = {};\n if (thisInit && systemMetrics.length > 0) {\n for (let sm of systemMetrics) {\n pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n };\n }\n return {...pendingUnits};\n });\n\n // null lets the backend resolve the resolution from the configured resample policy.\n let selectedResolution = $state(null);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n\n let selectedMetric = $derived.by(() => {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length !== 0) return systemMetrics[0].name\n }\n return \"\"\n });\n\n let selectedMetrics = $derived.by(() => {\n let configKey = `nodeList_selectedMetrics`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length >= 3) return [systemMetrics[0].name, systemMetrics[1].name, systemMetrics[2].name]\n }\n return []\n });\n\n /* Effects */\n $effect(() => {\n if (displayNodeOverview) {\n updateOverviewMetric(selectedMetric)\n }\n });\n\n /* Functions */\n // Wait after input for some time to prevent too many requests\n function updateHostnameFilter() {\n if (timeoutId != null) clearTimeout(timeoutId);\n timeoutId = setTimeout(function () {\n hostnameFilter = pendingHostnameFilter;\n }, 500);\n };\n\n function updateOverviewMetric(newMetric) {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n updateConfigurationMutation({\n name: configKey,\n value: JSON.stringify(newMetric),\n }).subscribe((res) => {\n if (res.fetching === false && res.error) {\n throw res.error;\n }\n });\n };\n\n const updateConfigurationMutation = ({ name, value }) => {\n return mutationStore({\n client: client,\n query: gql`\n mutation ($name: String!, $value: String!) {\n updateConfiguration(name: $name, value: $value)\n }\n `,\n variables: { name, value },\n });\n };\n\n</script>\n\n<!-- ROW1: Tools-->\n<Row cols={{ xs: 2, lg: !displayNodeOverview ? (resampleConfig ? 6 : 5) : 5 }} class=\"mb-3\">\n {#if thisInit}\n <!-- List Metric Select Col-->\n {#if !displayNodeOverview}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n <Button\n outline\n color=\"primary\"\n onclick={() => (isMetricsSelectionOpen = true)}\n >\n {selectedMetrics.length} selected\n </Button>\n </InputGroup>\n </Col>\n {#if resampleConfig}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n <InputGroupText>Resolution</InputGroupText>\n <Input type=\"select\" bind:value={selectedResolution}>\n {#each resampleResolutions as res}\n <option value={res}\n >{res} sec</option\n >\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Node Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n <InputGroupText>Node(s)</InputGroupText>\n <Input\n placeholder=\"Filter hostname ...\"\n type=\"text\"\n bind:value={pendingHostnameFilter}\n oninput={updateHostnameFilter}\n />\n </InputGroup>\n </Col>\n <!-- State Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"clipboard2-pulse\" /></InputGroupText>\n <InputGroupText>State</InputGroupText>\n <Input type=\"select\" bind:value={nodeStateFilter}>\n {#each stateOptions as so}\n <option value={so}>{so.charAt(0).toUpperCase() + so.slice(1)}</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n <!-- Range Col-->\n <Col>\n <TimeSelection\n presetFrom={from}\n presetTo={to}\n applyTime={(newFrom, newTo) => {\n from = newFrom;\n to = newTo;\n }}\n />\n </Col>\n <!-- Overview Metric Col-->\n {#if displayNodeOverview}\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText>Metric</InputGroupText>\n <Input type=\"select\" bind:value={selectedMetric}>\n {#each systemMetrics as metric (metric.name)}\n <option value={metric.name}\n >{metric.name} {systemUnits[metric.name] ? \"(\"+systemUnits[metric.name]+\")\" : \"\"}</option\n >\n {:else}\n <option disabled>No available options</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Refresh Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <Refresher\n onRefresh={() => {\n const diff = Date.now() - to;\n from = new Date(from.getTime() + diff);\n to = new Date(to.getTime() + diff);\n }}\n />\n </Col>\n</Row>\n\n<!-- ROW2: Content-->\n{#if displayType !== \"OVERVIEW\" && displayType !== \"LIST\"}\n <Row>\n <Col>\n <Card body color=\"danger\">Unknown displayList type! </Card>\n </Col>\n </Row>\n{:else}\n {#if displayNodeOverview}\n <!-- ROW2-1: Node Overview (Grid Included)-->\n <NodeOverview {cluster} {ccconfig} {selectedMetric} {globalMetrics} {from} {to} {hostnameFilter} {nodeStateFilter}/>\n {:else}\n <!-- ROW2-2: Node List (Grid Included)-->\n <NodeList pendingSelectedMetrics={selectedMetrics} {cluster} {subCluster}\n {selectedResolution} {hostnameFilter} {nodeStateFilter} {from} {to} {systemUnits}/>\n {/if}\n{/if}\n\n{#if !displayNodeOverview}\n <MetricSelection\n bind:isOpen={isMetricsSelectionOpen}\n presetMetrics={selectedMetrics}\n {cluster}\n {subCluster}\n {globalMetrics}\n configName=\"nodeList_selectedMetrics\"\n applyMetrics={(newMetrics) => \n selectedMetrics = [...newMetrics]\n }\n />\n{/if}\n","structuredPatch":[{"oldStart":158,"oldLines":7,"newStart":158,"newLines":7,"lines":[" </script>"," "," <!-- ROW1: Tools-->","-<Row cols={{ xs: 2, lg: !displayNodeOverview ? 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[...globalMetrics.filter((gm) => gm?.availability.find((av) => av.cluster == cluster))] : []);\n const systemUnits = $derived.by(() => {\n const pendingUnits = {};\n if (thisInit && systemMetrics.length > 0) {\n for (let sm of systemMetrics) {\n pendingUnits[sm.name] = (sm?.unit?.prefix ? sm.unit.prefix : \"\") + (sm?.unit?.base ? sm.unit.base : \"\")\n };\n }\n return {...pendingUnits};\n });\n\n // null lets the backend resolve the resolution from the configured resample policy.\n let selectedResolution = $state(null);\n let to = $derived(presetTo ? presetTo : new Date(Date.now()));\n let from = $derived(presetFrom ? presetFrom : new Date(nowDate.setHours(nowDate.getHours() - 4)));\n\n let selectedMetric = $derived.by(() => {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length !== 0) return systemMetrics[0].name\n }\n return \"\"\n });\n\n let selectedMetrics = $derived.by(() => {\n let configKey = `nodeList_selectedMetrics`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n if (thisInit) {\n if (ccconfig[configKey]) return ccconfig[configKey]\n else if (systemMetrics.length >= 3) return [systemMetrics[0].name, systemMetrics[1].name, systemMetrics[2].name]\n }\n return []\n });\n\n /* Effects */\n $effect(() => {\n if (displayNodeOverview) {\n updateOverviewMetric(selectedMetric)\n }\n });\n\n /* Functions */\n // Wait after input for some time to prevent too many requests\n function updateHostnameFilter() {\n if (timeoutId != null) clearTimeout(timeoutId);\n timeoutId = setTimeout(function () {\n hostnameFilter = pendingHostnameFilter;\n }, 500);\n };\n\n function updateOverviewMetric(newMetric) {\n let configKey = `nodeOverview_selectedMetric`;\n if (cluster) configKey += `:${cluster}`;\n if (subCluster) configKey += `:${subCluster}`;\n\n updateConfigurationMutation({\n name: configKey,\n value: JSON.stringify(newMetric),\n }).subscribe((res) => {\n if (res.fetching === false && res.error) {\n throw res.error;\n }\n });\n };\n\n const updateConfigurationMutation = ({ name, value }) => {\n return mutationStore({\n client: client,\n query: gql`\n mutation ($name: String!, $value: String!) {\n updateConfiguration(name: $name, value: $value)\n }\n `,\n variables: { name, value },\n });\n };\n\n</script>\n\n<!-- ROW1: Tools-->\n<Row cols={{ xs: 2, lg: 5 }} class=\"mb-3\">\n {#if thisInit}\n <!-- List Metric Select Col-->\n {#if !displayNodeOverview}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText class=\"text-capitalize\">Metrics</InputGroupText>\n <Button\n outline\n color=\"primary\"\n onclick={() => (isMetricsSelectionOpen = true)}\n >\n {selectedMetrics.length} selected\n </Button>\n </InputGroup>\n </Col>\n {#if resampleConfig}\n <Col>\n <InputGroup>\n <InputGroupText><Icon name=\"plus-slash-minus\" /></InputGroupText>\n <InputGroupText>Resolution</InputGroupText>\n <Input type=\"select\" bind:value={selectedResolution}>\n {#each resampleResolutions as res}\n <option value={res}\n >{res} sec</option\n >\n {/each}\n </Input>\n </InputGroup>\n </Col>\n {/if}\n {/if}\n <!-- Node Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"hdd\" /></InputGroupText>\n <InputGroupText>Node(s)</InputGroupText>\n <Input\n placeholder=\"Filter hostname ...\"\n type=\"text\"\n bind:value={pendingHostnameFilter}\n oninput={updateHostnameFilter}\n />\n </InputGroup>\n </Col>\n <!-- State Col-->\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"clipboard2-pulse\" /></InputGroupText>\n <InputGroupText>State</InputGroupText>\n <Input type=\"select\" bind:value={nodeStateFilter}>\n {#each stateOptions as so}\n <option value={so}>{so.charAt(0).toUpperCase() + so.slice(1)}</option>\n {/each}\n </Input>\n </InputGroup>\n </Col>\n <!-- Range Col-->\n <Col>\n <TimeSelection\n presetFrom={from}\n presetTo={to}\n applyTime={(newFrom, newTo) => {\n from = newFrom;\n to = newTo;\n }}\n />\n </Col>\n <!-- Overview Metric Col-->\n {#if displayNodeOverview}\n <Col class=\"mt-2 mt-lg-0\">\n <InputGroup>\n <InputGroupText><Icon name=\"graph-up\" /></InputGroupText>\n <InputGroupText>Metric</InputGroupText>\n <Input type=\"select\" bind:value={selectedMetric}>\n {#each systemMetrics as metric (metric.name)}\n <option value={metric.name}\n >{metric.name} {systemUnits[metric.name] ? 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{"parentUuid":"46d257fc-119a-4f23-ac51-05c162ea0fce","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GFDNpY38zeALVRFoX5RUuz","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/admin/Options.svelte has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"d45dd82a-683e-4593-af78-fbff0d3f8c45","timestamp":"2026-06-18T07:29:33.981Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/admin/Options.svelte","oldString":" <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n <p>Configured resolutions: {resampleConfig.resolutions}</p>","newString":" <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n <p>Resampling is enabled.</p>\n <p>Target data points per plot: {resampleConfig.targetPoints}</p>","originalFile":"<!--\n @component Admin option select card\n\n Properties:\n - `clusterNames [String]`: The available clusternames\n-->\n\n<script>\n import { getContext, onMount } from \"svelte\";\n import { Row, Col, Card, CardBody, CardTitle, Button, Icon } from \"@sveltestrap/sveltestrap\";\n\n /* Svelte 5 Props */\n let {\n clusterNames,\n } = $props();\n\n /*Const Init */\n const resampleConfig = getContext(\"resampling\");\n \n /* State Init */\n let scrambled = $state(false);\n \n /* on Mount */\n onMount(() => {\n scrambled = window.localStorage.getItem(\"cc-scramble-names\") != null;\n });\n\n function handleScramble() {\n if (!scrambled) {\n scrambled = true;\n window.localStorage.setItem(\"cc-scramble-names\", \"true\");\n } else {\n scrambled = false;\n window.localStorage.removeItem(\"cc-scramble-names\");\n }\n }\n</script>\n\n<Col>\n <Card class=\"h-100\">\n <CardBody>\n <CardTitle class=\"mb-3\">Scramble Names / Presentation Mode</CardTitle>\n <input\n type=\"checkbox\"\n id=\"scramble-names-checkbox\"\n style=\"margin-right: 1em;\"\n onclick={() => handleScramble()}\n bind:checked={scrambled}\n />\n Active?\n </CardBody>\n </Card>\n</Col>\n\n{#if clusterNames?.length > 0}\n <Col> \n <Card class=\"h-100\">\n <CardBody>\n <CardTitle class=\"mb-3\">Public Dashboard Links</CardTitle>\n <Row>\n {#each clusterNames as cn}\n <Col>\n <Button color=\"info\" class=\"mb-2 mb-xl-0\" href={`/monitoring/dashboard/${cn}`} target=\"_blank\">\n <Icon name=\"clipboard-pulse\" class=\"mr-2\"/>\n {cn.charAt(0).toUpperCase() + cn.slice(1)} Public Dashboard\n </Button>\n </Col>\n {/each}\n </Row>\n </CardBody>\n </Card>\n </Col>\n{/if}\n\n{#if resampleConfig}\n <Col> \n <Card class=\"h-100\">\n <CardBody>\n <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>\n <p>Triggered at {resampleConfig.trigger} datapoints.</p>\n <p>Configured resolutions: {resampleConfig.resolutions}</p>\n </CardBody>\n </Card>\n </Col>\n{/if}\n","structuredPatch":[{"oldStart":77,"oldLines":8,"newStart":77,"newLines":8,"lines":[" <Card class=\"h-100\">"," <CardBody>"," <CardTitle class=\"mb-3\">Metric Plot Resampling Info</CardTitle>","- <p>Triggered at {resampleConfig.trigger} datapoints.</p>","- <p>Configured resolutions: {resampleConfig.resolutions}</p>","+ <p>Resampling is enabled.</p>","+ <p>Target data points per plot: {resampleConfig.targetPoints}</p>"," </CardBody>"," </Card>"," </Col>"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"46d257fc-119a-4f23-ac51-05c162ea0fce","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"d45dd82a-683e-4593-af78-fbff0d3f8c45","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01D5gchPHZAdK1WbcwrtwGvy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":687,"cache_read_input_tokens":61362,"output_tokens":567,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":687,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":567,"cache_read_input_tokens":61362,"cache_creation_input_tokens":687,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":687},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALEMz8gmbbkz23j3x8b","type":"assistant","uuid":"02a4258e-f6c3-4b4d-8481-2647918eff49","timestamp":"2026-06-18T07:29:40.161Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"02a4258e-f6c3-4b4d-8481-2647918eff49","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01D5gchPHZAdK1WbcwrtwGvy","type":"message","role":"assistant","content":[{"type":"text","text":"Let me verify no remaining `.resolutions`/`.trigger` references remain in the frontend source:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":687,"cache_read_input_tokens":61362,"output_tokens":567,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":687,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":567,"cache_read_input_tokens":61362,"cache_creation_input_tokens":687,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":687},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALEMz8gmbbkz23j3x8b","type":"assistant","uuid":"ceb816b6-450e-4e77-9935-4fa75e111c4c","timestamp":"2026-06-18T07:29:40.477Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"ceb816b6-450e-4e77-9935-4fa75e111c4c","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01D5gchPHZAdK1WbcwrtwGvy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WuKywGtN71bY7iSH4s4BE9","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; grep -rn \"resampleConfig.resolutions\\|resampleConfig\\.trigger\\|resampleResolutions\\|resampleDefault\\|\\.resolutions\\b\" web/frontend/src"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":687,"cache_read_input_tokens":61362,"output_tokens":567,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":687,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":567,"cache_read_input_tokens":61362,"cache_creation_input_tokens":687,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":687},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALEMz8gmbbkz23j3x8b","type":"assistant","uuid":"1d6d9769-a6d5-4742-ad0a-b853d9cb2906","timestamp":"2026-06-18T07:29:41.438Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"1d6d9769-a6d5-4742-ad0a-b853d9cb2906","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WuKywGtN71bY7iSH4s4BE9","type":"tool_result","content":"web/frontend/src/generic/plots/MetricPlot.svelte:76: const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\nweb/frontend/src/generic/plots/MetricPlot.svelte:77: const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:78: const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:520: if (resampleTargetPoints && !resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:526: } else if (resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:529: newRes = resampleResolutions.reduce(function(prev, curr) {","is_error":false}]},"uuid":"f480c724-b8dc-4311-9eb4-928f80387f9d","timestamp":"2026-06-18T07:29:41.493Z","toolUseResult":{"stdout":"web/frontend/src/generic/plots/MetricPlot.svelte:76: const resampleTrigger = $derived(resampleConfig?.trigger ? Number(resampleConfig.trigger) : (resampleConfig?.targetPoints ? Math.floor(resampleConfig.targetPoints / 4) : null));\nweb/frontend/src/generic/plots/MetricPlot.svelte:77: const resampleResolutions = $derived(resampleConfig?.resolutions ? [...resampleConfig.resolutions] : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:78: const resampleMinimum = $derived(resampleConfig?.resolutions ? Math.min(...resampleConfig.resolutions) : null);\nweb/frontend/src/generic/plots/MetricPlot.svelte:520: if (resampleTargetPoints && !resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:526: } else if (resampleResolutions) {\nweb/frontend/src/generic/plots/MetricPlot.svelte:529: newRes = resampleResolutions.reduce(function(prev, curr) {","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1d6d9769-a6d5-4742-ad0a-b853d9cb2906","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"f480c724-b8dc-4311-9eb4-928f80387f9d","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_016vVapA632nawmNizkoiu8U","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":980,"cache_read_input_tokens":62049,"output_tokens":263,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":980,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":263,"cache_read_input_tokens":62049,"cache_creation_input_tokens":980,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":980},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALEuu1vD89AKuhetWwD","type":"assistant","uuid":"935bf1cc-7628-4e19-b2ac-02bec1647138","timestamp":"2026-06-18T07:29:46.750Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"935bf1cc-7628-4e19-b2ac-02bec1647138","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_016vVapA632nawmNizkoiu8U","type":"message","role":"assistant","content":[{"type":"text","text":"All remaining references use safe optional-chaining (`?.resolutions ?`) with a `targetPoints` fallback, so they won't crash. Now let me build the frontend to confirm it compiles."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":980,"cache_read_input_tokens":62049,"output_tokens":263,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":980,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":263,"cache_read_input_tokens":62049,"cache_creation_input_tokens":980,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":980},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALEuu1vD89AKuhetWwD","type":"assistant","uuid":"337d27da-d6a6-42d6-b3c5-141fbec81083","timestamp":"2026-06-18T07:29:47.698Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"a8771579-a4fa-4918-84a1-38cb082bd328","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BYgVFrqBkzFiLBN1QqqhSb","type":"tool_result","content":"\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/status.js\u001b[22m in \u001b[1m3.8s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/dashpublic.entrypoint.js\u001b[22m → \u001b[1mpublic/build/dashpublic.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.3s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.5s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 36 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in \u001b[1m1.2s\u001b[22m\u001b[39m","is_error":false}]},"uuid":"e91bfcc0-9d71-42ec-ba01-ff2dff567466","timestamp":"2026-06-18T07:30:32.117Z","toolUseResult":{"stdout":"\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/status.js\u001b[22m in \u001b[1m3.8s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/dashpublic.entrypoint.js\u001b[22m → \u001b[1mpublic/build/dashpublic.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.3s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 38 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.5s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 36 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in \u001b[1m1.2s\u001b[22m\u001b[39m","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a8771579-a4fa-4918-84a1-38cb082bd328","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"e91bfcc0-9d71-42ec-ba01-ff2dff567466","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01YRsEBHJxQq12kbmTaTGirf","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1843,"cache_read_input_tokens":63029,"output_tokens":457,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1843,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":457,"cache_read_input_tokens":63029,"cache_creation_input_tokens":1843,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1843},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALJeEJPQKodo37e9FYb","type":"assistant","uuid":"74dd4b32-5f28-4214-b674-4696171b17a1","timestamp":"2026-06-18T07:30:36.961Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"74dd4b32-5f28-4214-b674-4696171b17a1","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01YRsEBHJxQq12kbmTaTGirf","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeded (only Svelte's internal circular-dependency warnings, no errors). Let me confirm `resampleConfig` is still legitimately used in `JobListRow.svelte` so I didn't leave a dead prop causing confusion:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1843,"cache_read_input_tokens":63029,"output_tokens":457,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1843,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":457,"cache_read_input_tokens":63029,"cache_creation_input_tokens":1843,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1843},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALJeEJPQKodo37e9FYb","type":"assistant","uuid":"0767081a-e1b2-492b-bfa1-c5c327c87560","timestamp":"2026-06-18T07:30:37.922Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"0767081a-e1b2-492b-bfa1-c5c327c87560","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01YRsEBHJxQq12kbmTaTGirf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016ZAEtzczoFCA25oeWC6QNE","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; grep -n \"resampleConfig\" web/frontend/src/generic/joblist/JobListRow.svelte web/frontend/src/generic/JobList.svelte"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1843,"cache_read_input_tokens":63029,"output_tokens":457,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1843,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":457,"cache_read_input_tokens":63029,"cache_creation_input_tokens":1843,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1843},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALJeEJPQKodo37e9FYb","type":"assistant","uuid":"c634af8f-8ee9-452b-a31d-d3e83b07ab26","timestamp":"2026-06-18T07:30:39.072Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"c634af8f-8ee9-452b-a31d-d3e83b07ab26","isSidechain":false,"promptId":"9e508c5c-cda4-40f7-a77b-c0ee0983e107","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016ZAEtzczoFCA25oeWC6QNE","type":"tool_result","content":"web/frontend/src/generic/joblist/JobListRow.svelte:16: - `resampleConfig [Obj]`: Includes the backend supplied resampling info\nweb/frontend/src/generic/joblist/JobListRow.svelte:41: resampleConfig\nweb/frontend/src/generic/JobList.svelte:107: const resampleConfig = $derived(initialized ? getContext(\"resampling\") : null);\nweb/frontend/src/generic/JobList.svelte:294: <JobListRow {triggerMetricRefresh} {job} {metrics} {plotWidth} {showFootprint} {globalMetrics} {clusterInfos} {resampleConfig}","is_error":false}]},"uuid":"8bf0f7f0-018f-44a5-8805-9aa6dce7f9cd","timestamp":"2026-06-18T07:30:39.118Z","toolUseResult":{"stdout":"web/frontend/src/generic/joblist/JobListRow.svelte:16: - `resampleConfig [Obj]`: Includes the backend supplied resampling info\nweb/frontend/src/generic/joblist/JobListRow.svelte:41: resampleConfig\nweb/frontend/src/generic/JobList.svelte:107: const resampleConfig = $derived(initialized ? getContext(\"resampling\") : null);\nweb/frontend/src/generic/JobList.svelte:294: <JobListRow {triggerMetricRefresh} {job} {metrics} {plotWidth} {showFootprint} {globalMetrics} {clusterInfos} {resampleConfig}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c634af8f-8ee9-452b-a31d-d3e83b07ab26","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"With the current branch the frontend does not show any jobs in the job list. There is a comsole error: Uncaught TypeError: t.resampleConfig.resolutions is not iterable (cannot read property undefined)…","leafUuid":"8bf0f7f0-018f-44a5-8805-9aa6dce7f9cd","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"c61b77ea-d35b-44ba-9693-c71d5404042b","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Lu6492d3Nrp7EWnMVXn4Qe","type":"message","role":"assistant","content":[{"type":"text","text":"The fix is complete and the frontend builds cleanly.\n\n## Summary\n\nThe crash came from a **frontend/backend config-shape mismatch** introduced on this branch. The backend's `ResampleConfig` was migrated from the old array-based shape `{trigger, resolutions[]}` to the new policy-based shape `{default-policy, default-algo, targetPoints}` (`internal/config/config.go:120`, served per-user via `resamplingForUser` in `internal/routerConfig/routes.go:600`, which sets only `targetPoints`).\n\nSeveral Svelte components still did `Math.max(...resampleConfig.resolutions)`. With `resolutions` now `undefined`, the spread threw `TypeError: ...resolutions is not iterable`, aborting the whole job-list render — hence no jobs displayed.\n\n`MetricPlot.svelte` had already been migrated (it derives everything from `targetPoints` with safe optional chaining), but four components hadn't. Under the new model the backend computes the resolution from the resample policy whenever the GraphQL query sends `resolution: null`, and `MetricPlot` computes explicit resolutions from `targetPoints` on zoom — so the legacy \"pick the max configured resolution\" logic is obsolete.\n\nChanges:\n- **`generic/joblist/JobListRow.svelte`** — removed `resampleDefault`; `selectedResolution` now defaults to `$state(null)` (backend resolves from policy; zoom overrides).\n- **`job/Metric.svelte`** — same fix.\n- **`Systems.root.svelte`** — removed `resampleResolutions`/`resampleDefault`, defaulted `selectedResolution` to `null`, and removed the now-defunct manual resolution dropdown (no fixed resolution list exists anymore), adjusting the toolbar column count.\n- **`config/admin/Options.svelte`** — admin info card now shows \"Target data points per plot: {targetPoints}\" instead of the removed `trigger`/`resolutions` fields.\n\nAll remaining `resolutions`/`trigger` references (in `MetricPlot.svelte`) are guarded with `?.` and fall back to the `targetPoints` path, so they're safe.\n\nNote: `npm run build` writes generated bundles into `web/frontend/public/build/`. Those are part of your working tree now — include them (or rebuild via `make frontend`) when you commit."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":691,"cache_read_input_tokens":64872,"output_tokens":1213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":691,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1213,"cache_read_input_tokens":64872,"cache_creation_input_tokens":691,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":691},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcALKABrrM5vMYTSN7n3G","type":"assistant","uuid":"f6e2e615-b577-44f5-89b6-906ea7357989","timestamp":"2026-06-18T07:30:55.358Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"0f6c038c-6c88-40a4-ab12-beb64a571aa3","isSidechain":false,"type":"system","subtype":"away_summary","content":"Goal: fix the job list not rendering on this branch due to a resample config mismatch. Done: updated four Svelte components to the new policy-based shape and rebuilt the frontend successfully. Next: commit the changes including the rebuilt bundles. (disable recaps in /config)","timestamp":"2026-06-18T07:39:01.924Z","uuid":"5504d108-6fcf-4e06-8937-9aa1a42329dd","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"360b6f1d-9fc6-41c7-8721-3c47f254e167","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01TANmm92AYLJtmB9sLuSCYc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HnfBU3JDVD8E8zM6zp6kBW","name":"Agent","input":{"description":"Trace archive resampling apply path","prompt":"In the repo /Users/jan/prg/ClusterCockpit/cc-backend, I need to understand exactly how resampling is APPLIED to metric data when serving a job's metrics, especially for archived jobs.\n\nRead and report in detail (file paths + line numbers + code snippets):\n\n1. `internal/metricdispatch/dataLoader.go` — the full `LoadData` function. Show how it decides between fetching from metric store (running jobs) vs loading from archive. Show the exact block where it calls the resampler for archived jobs: how `resampleFn`, `resolution`, `resampleAlgo` are used, and what condition gates whether resampling happens at all. Is resampling applied ONLY for archived jobs and NOT for data coming from the metric store/running jobs? Quote the relevant `if` conditions.\n\n2. Whether there is any guard like `if resolution > 0` or `if resolution != timestep` or a frequency/timestep comparison that would SKIP resampling. Show me the exact conditions.\n\n3. How `LoadData` is reached from the GraphQL `JobMetrics` resolver in `internal/graph/schema.resolvers.go` (already know it computes resolution from policy). I want to know: for an ARCHIVED job, does the archive return statisticsSeries or raw series data? Does the resampling apply to `series[].data` only, or also statisticsSeries?\n\n4. Look at the archive loading: `pkg/archive` — when a job is archived, is the metric data already downsampled/stored at a fixed resolution? Find where archived metric data is read (e.g. `LoadMetrics`, `GetMetricData`). Does the archive store data at native timestep or pre-aggregated?\n\n5. Check `go.mod` for the cc-lib version, and try to locate the resampler source — search Go module cache for `cc-lib` resampler package (paths like `~/go/pkg/mod/github.com/!cluster!cockpit/cc-lib*/resampler/`). Report the AVERAGE algorithm implementation if found, and the `GetResampler` function and `SimpleResampler`/`Avg` functions.\n\nBe concrete and quote code.","subagent_type":"Explore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1944,"cache_creation_input_tokens":80,"cache_read_input_tokens":66776,"output_tokens":1960,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":80,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":1944,"output_tokens":1960,"cache_read_input_tokens":66776,"cache_creation_input_tokens":80,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":80},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANP6e8bcrZ1LWPR3pdo","type":"assistant","uuid":"afc56bb5-02e6-4122-8cb3-75206abaacc2","timestamp":"2026-06-18T07:58:09.542Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"afc56bb5-02e6-4122-8cb3-75206abaacc2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01TANmm92AYLJtmB9sLuSCYc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M38yB82NQpDPCSwGW3MUPX","name":"Agent","input":{"description":"Trace frontend resolution send + plot render","prompt":"In the repo /Users/jan/prg/ClusterCockpit/cc-backend, I'm debugging why resampled metric data shows no visible difference in the frontend for long jobs.\n\nInvestigate and report (file paths + line numbers + code snippets):\n\n1. In `web/frontend/src/job/Metric.svelte` and `web/frontend/src/generic/joblist/JobListRow.svelte`: what value of `resolution` (`selectedResolution`) is sent in the `jobMetrics` GraphQL query on initial load? (It was recently changed.) Trace the variable.\n\n2. In `web/frontend/src/generic/plots/MetricPlot.svelte`: how does the plot decide whether to render raw `series[].data` vs the `statisticsSeries` (min/mean/median/max bands)? Find the logic that picks between plotting individual series lines and plotting a statistics band. For a long job with many nodes/series, which is shown by default? Search for \"statisticsSeries\", \"useStatsSeries\", \"data\", \"renderData\", \"plotSeries\".\n\n3. Does the plot render `statisticsSeries` (which is computed independently of resampling) instead of the resampled `series.data`? If the plot shows statisticsSeries by default for long/multi-series jobs, then resampling of series.data would have no visible effect. Confirm or deny this with code.\n\n4. How is `statisticsSeries` produced for archived jobs — is it affected by the `resolution`/`resampleAlgo` parameters at all? Search backend `internal/metricdispatch` and `pkg/archive` and graphql resolvers for statisticsSeries generation.\n\n5. Report the GraphQL schema definition of `JobMetric` / `Series` / `StatsSeries` in `api/schema.graphqls`.\n\nBe concrete and quote code with file:line.","subagent_type":"Explore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1944,"cache_creation_input_tokens":80,"cache_read_input_tokens":66776,"output_tokens":1960,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":80,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":1944,"output_tokens":1960,"cache_read_input_tokens":66776,"cache_creation_input_tokens":80,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":80},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANP6e8bcrZ1LWPR3pdo","type":"assistant","uuid":"38894ebb-4252-4009-b582-3d429557ea9e","timestamp":"2026-06-18T07:58:18.529Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"38894ebb-4252-4009-b582-3d429557ea9e","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M38yB82NQpDPCSwGW3MUPX","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a clear picture. Let me summarize my findings in a comprehensive report.\n\n## Investigation Report: Resampled Metric Data Invisibility for Long Jobs\n\n### 1. **Resolution (`selectedResolution`) on Initial Load**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte`**\n- **Line 82:** `let selectedResolution = $state(null);`\n- **Current behavior (after change):** On initial load, `selectedResolution` is set to `null`\n- **Previous behavior (commit 0069c86e):** Was set to `let selectedResolution = $state(resampleDefault);` where `resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;`\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte`**\n- **Line 99:** `let selectedResolution = $state(null);`\n- **Same change:** Now initializes to `null` instead of a default resolution value\n\n**Backend Resolution:** \n- **File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`** (lines 508-520)\n - When `resolution` is `null`, the backend applies a fallback policy (lines 509-520):\n 1. First checks user's resample policy preference (line 510)\n 2. If not set, checks global default policy (line 514)\n 3. If still null, defaults to 0 (lines 517-519)\n - **Code snippet:**\n ```go\n if resolution == nil {\n resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n if config.Keys.EnableResampling != nil {\n resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n defaultRes := 0\n resolution = &defaultRes\n }\n }\n ```\n\n---\n\n### 2. **Plot Decision Logic: Raw Series vs StatisticsSeries**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte`**\n\n**Key Variable (Line 80):**\n```javascript\nconst useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n```\n\n**Decision Logic:**\n\n1. **Lines 86-92** - Determine which data to measure for plot dimensions:\n ```javascript\n const longestSeries = $derived.by(() => {\n if (useStatsSeries) {\n return usesMeanStatsSeries ? statisticsSeries?.mean?.length : statisticsSeries?.median?.length;\n } else {\n return series.reduce((n, series) => Math.max(n, series.data.length), 0);\n }\n });\n ```\n\n2. **Lines 124-154** - Plot data construction (raw vs stats):\n ```javascript\n const plotData = $derived.by(() => {\n let pendingData = [new Array(longestSeries)];\n // ... timestamp construction ...\n // Y\n if (useStatsSeries) {\n pendingData.push(statisticsSeries.min);\n pendingData.push(statisticsSeries.max);\n if (usesMeanStatsSeries) {\n pendingData.push(statisticsSeries.mean);\n } else {\n pendingData.push(statisticsSeries.median);\n }\n } else {\n for (let i = 0; i < series.length; i++) {\n pendingData.push(series[i].data); // Raw series data\n };\n };\n return pendingData;\n })\n ```\n\n3. **Lines 155-244** - Plot series construction:\n ```javascript\n const plotSeries = $derived.by(() => {\n let pendingSeries = [{label: \"Runtime\", ...}];\n if (useStatsSeries) {\n // Lines 166-183: Push min/max/(mean or median) as 3 series\n pendingSeries.push({label: \"min\", ...});\n pendingSeries.push({label: \"max\", ...});\n pendingSeries.push({label: usesMeanStatsSeries ? \"mean\" : \"median\", ...});\n } else {\n // Lines 186-241: Push individual series for each node\n for (let i = 0; i < series?.length; i++) {\n pendingSeries.push({label: hostname/Acc/scope, ...});\n }\n };\n return pendingSeries;\n })\n ```\n\n**For Long Multi-node Jobs (Default Behavior):**\n- If `statisticsSeries` is present → `useStatsSeries = true` → **Shows min/mean(or median)/max bands, NOT individual series**\n- Individual node lines are **completely ignored** when stats series exist\n\n---\n\n### 3. **Does Plot Show StatisticsSeries Instead of Resampled series.data?**\n\n**YES - This is the root cause of invisibility.**\n\n**Evidence:**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 198-210):\n\n```go\n// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n// instead of overwhelming the UI with individual node lines. Note that newly calculated\n// statistics use min/median/max, while archived statistics may use min/mean/max.\nconst maxSeriesSize int = 8\nfor _, scopes := range jd {\n for _, jm := range scopes {\n if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n continue\n }\n\n jm.AddStatisticsSeries()\n }\n}\n```\n\n**Key Problem:** For jobs with **≥8 nodes/series**, `AddStatisticsSeries()` is automatically called to create statistics bands. Once `statisticsSeries` exists, the frontend **always prefers it over individual series** (line 80: `const useStatsSeries = $derived(!!statisticsSeries);`).\n\nWhen the plot renders:\n- **plotData (lines 124-154):** Uses `statisticsSeries.min/max/mean/median` - NOT the resampled `series[i].data`\n- **plotSeries (lines 155-244):** Renders 3 statistical lines, ignoring individual node lines\n\n**Result:** Resampling of `series.data` in the backend is **completely invisible** because the plot never renders `series.data` when `statisticsSeries` exists.\n\n---\n\n### 4. **StatisticsSeries Generation for Archived Jobs**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 86-227)\n\n**For Archived Jobs (lines 130-190):**\n\n```go\n} else {\n var jdTemp schema.JobData\n jdTemp, err = archive.GetHandle().LoadJobData(job)\n if err != nil {\n return err, 0, 0\n }\n\n jd = deepCopy(jdTemp)\n\n // Resample archived data to reduce data points to the requested resolution\n resampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n if rfErr != nil {\n return rfErr, 0, 0\n }\n for _, v := range jd {\n for _, v_ := range v {\n timestep := int64(0)\n for i := 0; i < len(v_.Series); i += 1 {\n v_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, \n int64(v_.Timestep), int64(resolution)) // ← resolution affects only series.data\n if err != nil {\n return err, 0, 0\n }\n }\n v_.Timestep = int(timestep)\n }\n }\n // ... filtering ...\n size = jd.Size()\n}\n```\n\n**Critical Finding (lines 198-210):**\n\n```go\n// Generate statistics series for jobs with many nodes to enable min/median/max graphs\nconst maxSeriesSize int = 8\nfor _, scopes := range jd {\n for _, jm := range scopes {\n if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n continue\n }\n\n jm.AddStatisticsSeries() // ← Called AFTER resampling, but generated from already-loaded archive data\n }\n}\n```\n\n**ANSWER:** `StatisticsSeries` is **NOT computed from the resolution parameter**. It is:\n1. Generated from the original archive data (if `jm.Series.length >= 8`)\n2. Generated **AFTER** resampling, but from pre-aggregated statistics stored in the archive\n3. Independent of the `resolution` parameter entirely\n\nThe `resolution` parameter only affects `series[i].Data` resampling, which is then ignored by the frontend when `statisticsSeries` exists.\n\n---\n\n### 5. **GraphQL Schema Definitions**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls`** (lines 175-194)\n\n```graphql\ntype JobMetric {\n unit: Unit\n timestep: Int!\n series: [Series!]\n statisticsSeries: StatsSeries\n}\n\ntype Series {\n hostname: String!\n id: String\n statistics: MetricStatistics\n data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n mean: [NullableFloat!]!\n median: [NullableFloat!]!\n min: [NullableFloat!]!\n max: [NullableFloat!]!\n}\n```\n\n**GraphQL Query (Metric.svelte:48-49, JobListRow.svelte:47-48):**\n```graphql\nquery ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n ...\n```\n\n---\n\n## Summary\n\nThe resampled metric data shows **no visible difference** for long jobs because:\n\n1. **Recent Change:** `selectedResolution` now initializes to `null` instead of a default value (commit 0069c86e: policy-based resampling)\n2. **Backend:** Resampling of `series[i].data` is applied when `resolution != 0` or a policy resolves to a non-zero value\n3. **Frontend Display Decision:** Line 80 of MetricPlot.svelte: `const useStatsSeries = !!statisticsSeries`\n4. **Critical Issue:** Once `statisticsSeries` exists (auto-generated for jobs with ≥8 nodes), the plot **always renders** min/mean/median/max bands and **never renders** individual `series[i].data`\n5. **Root Cause:** `StatisticsSeries` is **not resampled**—it's pre-computed from archive statistics, independent of the `resolution` parameter\n6. **Result:** Even if `series.data` is perfectly resampled, **it's never displayed** because the plot defaults to showing statistics bands"}]}]},"uuid":"ee6e88fd-ceab-4544-b0d9-15802e7c7835","timestamp":"2026-06-18T07:59:30.201Z","toolUseResult":{"status":"completed","prompt":"In the repo /Users/jan/prg/ClusterCockpit/cc-backend, I'm debugging why resampled metric data shows no visible difference in the frontend for long jobs.\n\nInvestigate and report (file paths + line numbers + code snippets):\n\n1. In `web/frontend/src/job/Metric.svelte` and `web/frontend/src/generic/joblist/JobListRow.svelte`: what value of `resolution` (`selectedResolution`) is sent in the `jobMetrics` GraphQL query on initial load? (It was recently changed.) Trace the variable.\n\n2. In `web/frontend/src/generic/plots/MetricPlot.svelte`: how does the plot decide whether to render raw `series[].data` vs the `statisticsSeries` (min/mean/median/max bands)? Find the logic that picks between plotting individual series lines and plotting a statistics band. For a long job with many nodes/series, which is shown by default? Search for \"statisticsSeries\", \"useStatsSeries\", \"data\", \"renderData\", \"plotSeries\".\n\n3. Does the plot render `statisticsSeries` (which is computed independently of resampling) instead of the resampled `series.data`? If the plot shows statisticsSeries by default for long/multi-series jobs, then resampling of series.data would have no visible effect. Confirm or deny this with code.\n\n4. How is `statisticsSeries` produced for archived jobs — is it affected by the `resolution`/`resampleAlgo` parameters at all? Search backend `internal/metricdispatch` and `pkg/archive` and graphql resolvers for statisticsSeries generation.\n\n5. Report the GraphQL schema definition of `JobMetric` / `Series` / `StatsSeries` in `api/schema.graphqls`.\n\nBe concrete and quote code with file:line.","agentId":"a9f0f85ef77c59def","agentType":"Explore","content":[{"type":"text","text":"Perfect! Now I have a clear picture. Let me summarize my findings in a comprehensive report.\n\n## Investigation Report: Resampled Metric Data Invisibility for Long Jobs\n\n### 1. **Resolution (`selectedResolution`) on Initial Load**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/job/Metric.svelte`**\n- **Line 82:** `let selectedResolution = $state(null);`\n- **Current behavior (after change):** On initial load, `selectedResolution` is set to `null`\n- **Previous behavior (commit 0069c86e):** Was set to `let selectedResolution = $state(resampleDefault);` where `resampleDefault = resampleConfig ? Math.max(...resampleConfig.resolutions) : 0;`\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/joblist/JobListRow.svelte`**\n- **Line 99:** `let selectedResolution = $state(null);`\n- **Same change:** Now initializes to `null` instead of a default resolution value\n\n**Backend Resolution:** \n- **File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go`** (lines 508-520)\n - When `resolution` is `null`, the backend applies a fallback policy (lines 509-520):\n 1. First checks user's resample policy preference (line 510)\n 2. If not set, checks global default policy (line 514)\n 3. If still null, defaults to 0 (lines 517-519)\n - **Code snippet:**\n ```go\n if resolution == nil {\n resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n if config.Keys.EnableResampling != nil {\n resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n defaultRes := 0\n resolution = &defaultRes\n }\n }\n ```\n\n---\n\n### 2. **Plot Decision Logic: Raw Series vs StatisticsSeries**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/plots/MetricPlot.svelte`**\n\n**Key Variable (Line 80):**\n```javascript\nconst useStatsSeries = $derived(!!statisticsSeries); // Display Stats Series By Default if Exists\n```\n\n**Decision Logic:**\n\n1. **Lines 86-92** - Determine which data to measure for plot dimensions:\n ```javascript\n const longestSeries = $derived.by(() => {\n if (useStatsSeries) {\n return usesMeanStatsSeries ? statisticsSeries?.mean?.length : statisticsSeries?.median?.length;\n } else {\n return series.reduce((n, series) => Math.max(n, series.data.length), 0);\n }\n });\n ```\n\n2. **Lines 124-154** - Plot data construction (raw vs stats):\n ```javascript\n const plotData = $derived.by(() => {\n let pendingData = [new Array(longestSeries)];\n // ... timestamp construction ...\n // Y\n if (useStatsSeries) {\n pendingData.push(statisticsSeries.min);\n pendingData.push(statisticsSeries.max);\n if (usesMeanStatsSeries) {\n pendingData.push(statisticsSeries.mean);\n } else {\n pendingData.push(statisticsSeries.median);\n }\n } else {\n for (let i = 0; i < series.length; i++) {\n pendingData.push(series[i].data); // Raw series data\n };\n };\n return pendingData;\n })\n ```\n\n3. **Lines 155-244** - Plot series construction:\n ```javascript\n const plotSeries = $derived.by(() => {\n let pendingSeries = [{label: \"Runtime\", ...}];\n if (useStatsSeries) {\n // Lines 166-183: Push min/max/(mean or median) as 3 series\n pendingSeries.push({label: \"min\", ...});\n pendingSeries.push({label: \"max\", ...});\n pendingSeries.push({label: usesMeanStatsSeries ? \"mean\" : \"median\", ...});\n } else {\n // Lines 186-241: Push individual series for each node\n for (let i = 0; i < series?.length; i++) {\n pendingSeries.push({label: hostname/Acc/scope, ...});\n }\n };\n return pendingSeries;\n })\n ```\n\n**For Long Multi-node Jobs (Default Behavior):**\n- If `statisticsSeries` is present → `useStatsSeries = true` → **Shows min/mean(or median)/max bands, NOT individual series**\n- Individual node lines are **completely ignored** when stats series exist\n\n---\n\n### 3. **Does Plot Show StatisticsSeries Instead of Resampled series.data?**\n\n**YES - This is the root cause of invisibility.**\n\n**Evidence:**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 198-210):\n\n```go\n// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n// instead of overwhelming the UI with individual node lines. Note that newly calculated\n// statistics use min/median/max, while archived statistics may use min/mean/max.\nconst maxSeriesSize int = 8\nfor _, scopes := range jd {\n for _, jm := range scopes {\n if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n continue\n }\n\n jm.AddStatisticsSeries()\n }\n}\n```\n\n**Key Problem:** For jobs with **≥8 nodes/series**, `AddStatisticsSeries()` is automatically called to create statistics bands. Once `statisticsSeries` exists, the frontend **always prefers it over individual series** (line 80: `const useStatsSeries = $derived(!!statisticsSeries);`).\n\nWhen the plot renders:\n- **plotData (lines 124-154):** Uses `statisticsSeries.min/max/mean/median` - NOT the resampled `series[i].data`\n- **plotSeries (lines 155-244):** Renders 3 statistical lines, ignoring individual node lines\n\n**Result:** Resampling of `series.data` in the backend is **completely invisible** because the plot never renders `series.data` when `statisticsSeries` exists.\n\n---\n\n### 4. **StatisticsSeries Generation for Archived Jobs**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go`** (lines 86-227)\n\n**For Archived Jobs (lines 130-190):**\n\n```go\n} else {\n var jdTemp schema.JobData\n jdTemp, err = archive.GetHandle().LoadJobData(job)\n if err != nil {\n return err, 0, 0\n }\n\n jd = deepCopy(jdTemp)\n\n // Resample archived data to reduce data points to the requested resolution\n resampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n if rfErr != nil {\n return rfErr, 0, 0\n }\n for _, v := range jd {\n for _, v_ := range v {\n timestep := int64(0)\n for i := 0; i < len(v_.Series); i += 1 {\n v_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, \n int64(v_.Timestep), int64(resolution)) // ← resolution affects only series.data\n if err != nil {\n return err, 0, 0\n }\n }\n v_.Timestep = int(timestep)\n }\n }\n // ... filtering ...\n size = jd.Size()\n}\n```\n\n**Critical Finding (lines 198-210):**\n\n```go\n// Generate statistics series for jobs with many nodes to enable min/median/max graphs\nconst maxSeriesSize int = 8\nfor _, scopes := range jd {\n for _, jm := range scopes {\n if jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n continue\n }\n\n jm.AddStatisticsSeries() // ← Called AFTER resampling, but generated from already-loaded archive data\n }\n}\n```\n\n**ANSWER:** `StatisticsSeries` is **NOT computed from the resolution parameter**. It is:\n1. Generated from the original archive data (if `jm.Series.length >= 8`)\n2. Generated **AFTER** resampling, but from pre-aggregated statistics stored in the archive\n3. Independent of the `resolution` parameter entirely\n\nThe `resolution` parameter only affects `series[i].Data` resampling, which is then ignored by the frontend when `statisticsSeries` exists.\n\n---\n\n### 5. **GraphQL Schema Definitions**\n\n**File: `/Users/jan/prg/ClusterCockpit/cc-backend/api/schema.graphqls`** (lines 175-194)\n\n```graphql\ntype JobMetric {\n unit: Unit\n timestep: Int!\n series: [Series!]\n statisticsSeries: StatsSeries\n}\n\ntype Series {\n hostname: String!\n id: String\n statistics: MetricStatistics\n data: [NullableFloat!]!\n}\n\ntype StatsSeries {\n mean: [NullableFloat!]!\n median: [NullableFloat!]!\n min: [NullableFloat!]!\n max: [NullableFloat!]!\n}\n```\n\n**GraphQL Query (Metric.svelte:48-49, JobListRow.svelte:47-48):**\n```graphql\nquery ($dbid: ID!, $selectedMetrics: [String!]!, $selectedScopes: [MetricScope!]!, $selectedResolution: Int) {\n singleUpdate: jobMetrics(id: $dbid, metrics: $selectedMetrics, scopes: $selectedScopes, resolution: $selectedResolution) {\n ...\n```\n\n---\n\n## Summary\n\nThe resampled metric data shows **no visible difference** for long jobs because:\n\n1. **Recent Change:** `selectedResolution` now initializes to `null` instead of a default value (commit 0069c86e: policy-based resampling)\n2. **Backend:** Resampling of `series[i].data` is applied when `resolution != 0` or a policy resolves to a non-zero value\n3. **Frontend Display Decision:** Line 80 of MetricPlot.svelte: `const useStatsSeries = !!statisticsSeries`\n4. **Critical Issue:** Once `statisticsSeries` exists (auto-generated for jobs with ≥8 nodes), the plot **always renders** min/mean/median/max bands and **never renders** individual `series[i].data`\n5. **Root Cause:** `StatisticsSeries` is **not resampled**—it's pre-computed from archive statistics, independent of the `resolution` parameter\n6. **Result:** Even if `series.data` is perfectly resampled, **it's never displayed** because the plot defaults to showing statistics bands"}],"resolvedModel":"claude-haiku-4-5-20251001","totalDurationMs":70719,"totalTokens":55766,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":554,"cache_read_input_tokens":52343,"output_tokens":2869,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":554},"inference_geo":"not_available","iterations":[{"input_tokens":0,"output_tokens":2869,"cache_read_input_tokens":52343,"cache_creation_input_tokens":554,"cache_creation":{"ephemeral_5m_input_tokens":554,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":11,"searchCount":0,"bashCount":20,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}},"sourceToolAssistantUUID":"38894ebb-4252-4009-b582-3d429557ea9e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"ee6e88fd-ceab-4544-b0d9-15802e7c7835","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"afc56bb5-02e6-4122-8cb3-75206abaacc2","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HnfBU3JDVD8E8zM6zp6kBW","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive report:\n\n## Detailed Analysis: Resampling Application in cc-backend\n\nBased on my thorough investigation of the codebase, here's exactly how resampling is applied to metric data when serving job metrics, especially for archived jobs:\n\n### 1. **Full LoadData Function Flow** (`internal/metricdispatch/dataLoader.go:86-236`)\n\nThe `LoadData` function **ONLY applies resampling to ARCHIVED jobs**, not running jobs. Here's the exact logic:\n\n**Lines 97-129: Running Jobs Path**\n```go\nif job.State == schema.JobStateRunning ||\n job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n // ... loads from metric store\n jd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n // NO RESAMPLING HERE - resolution passed through to metric store handler\n}\n```\n\n**Lines 130-158: Archived Jobs Path (RESAMPLING APPLIED HERE)**\n```go\n} else {\n var jdTemp schema.JobData\n jdTemp, err = archive.GetHandle().LoadJobData(job) // Load from archive\n \n jd = deepCopy(jdTemp) // Deep copy to avoid cache corruption\n \n // ===== RESAMPLING BLOCK =====\n // Lines 141-158: ALWAYS applied to archived data\n resampleFn, rfErr := resampler.GetResampler(resampleAlgo) // Line 143\n if rfErr != nil {\n return rfErr, 0, 0\n }\n for _, v := range jd {\n for _, v_ := range v {\n timestep := int64(0)\n for i := 0; i < len(v_.Series); i += 1 {\n // Lines 151: Applied to Series[].Data ONLY\n v_.Series[i].Data, timestep, err = resampleFn(\n v_.Series[i].Data, // source data from each series\n int64(v_.Timestep), // old frequency (seconds)\n int64(resolution)) // new target frequency (seconds)\n if err != nil {\n return err, 0, 0\n }\n }\n v_.Timestep = int(timestep) // Update timestep to new resolution\n }\n }\n}\n```\n\n**Key Observations:**\n- **Gate condition**: Resampling happens ONLY when `job.State != schema.JobStateRunning` AND `job.MonitoringStatus != schema.MonitoringStatusRunningOrArchiving`\n- **What is resampled**: ONLY `v_.Series[i].Data` (individual time-series data), NOT `StatisticsSeries`\n- **When it's applied**: ALWAYS for archived jobs, with NO guards on resolution value\n\n### 2. **Guard Conditions and Frequency Checks**\n\nThere is **NO explicit guard** like `if resolution > 0` or `if resolution != timestep` in the LoadData function. However, the guard is **IMPLICIT in the resampler itself**.\n\nLooking at `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/resampler/resampler.go:127-147`:\n\n```go\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n // Line 129: Returns -1 (no resampling) if newFrequency <= oldFrequency\n if oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n return -1, 0, nil\n }\n \n // ... more validation ...\n \n // Lines 142-143: Returns -1 (no resampling) if:\n // 1. newDataLength == 0\n // 2. lenData < MinimumRequiredPoints (default 1000)\n // 3. newDataLength >= lenData\n if (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n return -1, 0, nil\n }\n}\n```\n\nWhen `validateFrequency` returns `-1`, each resampler function (LTTB, Simple, Average) **returns the original data unchanged** (lines 201-202 in LTTB, lines 115-116 in SimpleResampler, lines 320-321 in AverageResampler):\n\n```go\nif newDataLength == -1 {\n return data, oldFrequency, nil // NO resampling performed\n}\n```\n\n**So the implicit guards are:**\n1. **If resolution ≤ v_.Timestep**: No resampling (newFrequency ≤ oldFrequency)\n2. **If series has < 1000 points**: No resampling (MinimumRequiredPoints default)\n3. **If resulting downsampled size >= original size**: No resampling\n\n### 3. **GraphQL to LoadData Flow** (`internal/graph/schema.resolvers.go:501-542`)\n\nThe `JobMetrics` resolver computes `resolution` BEFORE calling LoadData:\n\n```go\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, \n scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) {\n \n // Lines 509-520: Compute resolution from policy\n if resolution == nil {\n resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n if config.Keys.EnableResampling != nil {\n resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n defaultRes := 0\n resolution = &defaultRes // Falls back to 0\n }\n }\n \n algoName := resolveResampleAlgo(ctx, resampleAlgo) // Line 522\n \n // Line 524: Calls LoadData with computed resolution\n data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n}\n```\n\n### 4. **Archive Data Format and Resampling Target**\n\n**From** `pkg/archive/fsBackend.go:448-458`:\n```go\nfunc (fsa *FsArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n filename := getPath(job, fsa.path, \"data.json.gz\") // or data.json\n return loadJobData(filename, isCompressed)\n}\n```\n\nThe archive stores **native/original time-series data** (not pre-aggregated). The data structure returned is:\n- **schema.JobData**: `map[metricName]map[scope]*schema.JobMetric`\n- **schema.JobMetric** contains:\n - `Series []Series` - array of individual time-series (one per node)\n - `StatisticsSeries *StatsSeries` - optional aggregated stats (min/mean/median/max over time)\n - `Timestep int` - sampling interval in seconds\n\n**Resampling applies ONLY to:**\n- `Series[].Data` (the raw time-series points) — lines 151 in dataLoader.go\n- **NOT to StatisticsSeries** (aggregated data is left unchanged)\n\n### 5. **Resampler Source and AVERAGE Implementation**\n\n**Version: cc-lib v2.12.0** (from go.mod line 12)\n\n**File**: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/resampler/resampler.go`\n\n**GetResampler function (lines 284-297):**\n```go\nfunc GetResampler(name string) (ResamplerFunc, error) {\n switch name {\n case \"\", \"lttb\":\n return LargestTriangleThreeBucket, nil\n case \"average\":\n return AverageResampler, nil\n case \"simple\":\n return SimpleResampler, nil\n default:\n return nil, fmt.Errorf(\"unknown resampler algorithm: %s\", name)\n }\n}\n```\n\n**AVERAGE Resampler Implementation (lines 315-344):**\n```go\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n newDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n if err != nil {\n return nil, 0, err\n }\n if newDataLength == -1 {\n return data, oldFrequency, nil // No resampling\n }\n \n newData := make([]schema.Float, newDataLength)\n for i := range newDataLength {\n sum := 0.0\n count := 0\n base := i * step\n for j := range step {\n v := float64(data[base+j])\n if !math.IsNaN(v) {\n sum += v\n count++\n }\n }\n if count == 0 {\n newData[i] = schema.NaN // All values in bucket were NaN\n } else {\n newData[i] = schema.Float(sum / float64(count)) // Arithmetic mean\n }\n }\n \n return newData, newFrequency, nil\n}\n```\n\n**Average algorithm**: Divides data into fixed-size buckets based on step size and computes arithmetic mean of valid (non-NaN) points in each bucket. If all points in a bucket are NaN, result is NaN.\n\n### 6. **Resolution Computation Policy** (`internal/metricdispatch/resamplepolicy.go`)\n\nThe resolution is computed from user policy **BEFORE** passing to LoadData:\n\n```go\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n if frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n return 0 // Returns 0 if can't compute\n }\n \n totalPoints := duration / frequency\n if totalPoints <= int64(targetPoints) {\n return 0 // No resampling needed if already below target\n }\n \n targetRes := math.Ceil(float64(duration) / float64(targetPoints))\n // Round up to nearest multiple of frequency\n resolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n \n return resolution\n}\n```\n\nPolicies: Low=200 points, Medium=500 points, High=1000 points.\n\n---\n\n### Summary Table\n\n| Aspect | Details |\n|--------|---------|\n| **When Applied** | ONLY for archived jobs (job.State != Running) |\n| **What's Resampled** | Series[].Data only (individual time-series) |\n| **What's NOT Resampled** | StatisticsSeries, Timestep is recalculated |\n| **Guard: No explicit if** | Yes - guard is implicit in resampler functions |\n| **Guard: resolution > 0** | Not in LoadData; implicit in validateFrequency (checks newFrequency ≤ oldFrequency) |\n| **Running Jobs** | Resolution param passed to metric store, NOT resampled in LoadData |\n| **AVERAGE Algorithm** | Bucketing + arithmetic mean of valid (non-NaN) values per bucket |\n| **Algorithms Available** | LTTB (default), Average, Simple |"}]}]},"uuid":"7101f598-eb2e-43e1-8f31-9c8f998e9be8","timestamp":"2026-06-18T07:59:32.912Z","toolUseResult":{"status":"completed","prompt":"In the repo /Users/jan/prg/ClusterCockpit/cc-backend, I need to understand exactly how resampling is APPLIED to metric data when serving a job's metrics, especially for archived jobs.\n\nRead and report in detail (file paths + line numbers + code snippets):\n\n1. `internal/metricdispatch/dataLoader.go` — the full `LoadData` function. Show how it decides between fetching from metric store (running jobs) vs loading from archive. Show the exact block where it calls the resampler for archived jobs: how `resampleFn`, `resolution`, `resampleAlgo` are used, and what condition gates whether resampling happens at all. Is resampling applied ONLY for archived jobs and NOT for data coming from the metric store/running jobs? Quote the relevant `if` conditions.\n\n2. Whether there is any guard like `if resolution > 0` or `if resolution != timestep` or a frequency/timestep comparison that would SKIP resampling. Show me the exact conditions.\n\n3. How `LoadData` is reached from the GraphQL `JobMetrics` resolver in `internal/graph/schema.resolvers.go` (already know it computes resolution from policy). I want to know: for an ARCHIVED job, does the archive return statisticsSeries or raw series data? Does the resampling apply to `series[].data` only, or also statisticsSeries?\n\n4. Look at the archive loading: `pkg/archive` — when a job is archived, is the metric data already downsampled/stored at a fixed resolution? Find where archived metric data is read (e.g. `LoadMetrics`, `GetMetricData`). Does the archive store data at native timestep or pre-aggregated?\n\n5. Check `go.mod` for the cc-lib version, and try to locate the resampler source — search Go module cache for `cc-lib` resampler package (paths like `~/go/pkg/mod/github.com/!cluster!cockpit/cc-lib*/resampler/`). Report the AVERAGE algorithm implementation if found, and the `GetResampler` function and `SimpleResampler`/`Avg` functions.\n\nBe concrete and quote code.","agentId":"a5a5e081a4c82380a","agentType":"Explore","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive report:\n\n## Detailed Analysis: Resampling Application in cc-backend\n\nBased on my thorough investigation of the codebase, here's exactly how resampling is applied to metric data when serving job metrics, especially for archived jobs:\n\n### 1. **Full LoadData Function Flow** (`internal/metricdispatch/dataLoader.go:86-236`)\n\nThe `LoadData` function **ONLY applies resampling to ARCHIVED jobs**, not running jobs. Here's the exact logic:\n\n**Lines 97-129: Running Jobs Path**\n```go\nif job.State == schema.JobStateRunning ||\n job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n // ... loads from metric store\n jd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n // NO RESAMPLING HERE - resolution passed through to metric store handler\n}\n```\n\n**Lines 130-158: Archived Jobs Path (RESAMPLING APPLIED HERE)**\n```go\n} else {\n var jdTemp schema.JobData\n jdTemp, err = archive.GetHandle().LoadJobData(job) // Load from archive\n \n jd = deepCopy(jdTemp) // Deep copy to avoid cache corruption\n \n // ===== RESAMPLING BLOCK =====\n // Lines 141-158: ALWAYS applied to archived data\n resampleFn, rfErr := resampler.GetResampler(resampleAlgo) // Line 143\n if rfErr != nil {\n return rfErr, 0, 0\n }\n for _, v := range jd {\n for _, v_ := range v {\n timestep := int64(0)\n for i := 0; i < len(v_.Series); i += 1 {\n // Lines 151: Applied to Series[].Data ONLY\n v_.Series[i].Data, timestep, err = resampleFn(\n v_.Series[i].Data, // source data from each series\n int64(v_.Timestep), // old frequency (seconds)\n int64(resolution)) // new target frequency (seconds)\n if err != nil {\n return err, 0, 0\n }\n }\n v_.Timestep = int(timestep) // Update timestep to new resolution\n }\n }\n}\n```\n\n**Key Observations:**\n- **Gate condition**: Resampling happens ONLY when `job.State != schema.JobStateRunning` AND `job.MonitoringStatus != schema.MonitoringStatusRunningOrArchiving`\n- **What is resampled**: ONLY `v_.Series[i].Data` (individual time-series data), NOT `StatisticsSeries`\n- **When it's applied**: ALWAYS for archived jobs, with NO guards on resolution value\n\n### 2. **Guard Conditions and Frequency Checks**\n\nThere is **NO explicit guard** like `if resolution > 0` or `if resolution != timestep` in the LoadData function. However, the guard is **IMPLICIT in the resampler itself**.\n\nLooking at `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/resampler/resampler.go:127-147`:\n\n```go\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n // Line 129: Returns -1 (no resampling) if newFrequency <= oldFrequency\n if oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n return -1, 0, nil\n }\n \n // ... more validation ...\n \n // Lines 142-143: Returns -1 (no resampling) if:\n // 1. newDataLength == 0\n // 2. lenData < MinimumRequiredPoints (default 1000)\n // 3. newDataLength >= lenData\n if (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n return -1, 0, nil\n }\n}\n```\n\nWhen `validateFrequency` returns `-1`, each resampler function (LTTB, Simple, Average) **returns the original data unchanged** (lines 201-202 in LTTB, lines 115-116 in SimpleResampler, lines 320-321 in AverageResampler):\n\n```go\nif newDataLength == -1 {\n return data, oldFrequency, nil // NO resampling performed\n}\n```\n\n**So the implicit guards are:**\n1. **If resolution ≤ v_.Timestep**: No resampling (newFrequency ≤ oldFrequency)\n2. **If series has < 1000 points**: No resampling (MinimumRequiredPoints default)\n3. **If resulting downsampled size >= original size**: No resampling\n\n### 3. **GraphQL to LoadData Flow** (`internal/graph/schema.resolvers.go:501-542`)\n\nThe `JobMetrics` resolver computes `resolution` BEFORE calling LoadData:\n\n```go\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, \n scopes []schema.MetricScope, resolution *int, resampleAlgo *model.ResampleAlgo) {\n \n // Lines 509-520: Compute resolution from policy\n if resolution == nil {\n resolution = resolveResolutionFromPolicy(ctx, int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n if config.Keys.EnableResampling != nil {\n resolution = resolveResolutionFromDefaultPolicy(int64(job.Duration), job.Cluster, metrics)\n }\n if resolution == nil {\n defaultRes := 0\n resolution = &defaultRes // Falls back to 0\n }\n }\n \n algoName := resolveResampleAlgo(ctx, resampleAlgo) // Line 522\n \n // Line 524: Calls LoadData with computed resolution\n data, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution, algoName)\n}\n```\n\n### 4. **Archive Data Format and Resampling Target**\n\n**From** `pkg/archive/fsBackend.go:448-458`:\n```go\nfunc (fsa *FsArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n filename := getPath(job, fsa.path, \"data.json.gz\") // or data.json\n return loadJobData(filename, isCompressed)\n}\n```\n\nThe archive stores **native/original time-series data** (not pre-aggregated). The data structure returned is:\n- **schema.JobData**: `map[metricName]map[scope]*schema.JobMetric`\n- **schema.JobMetric** contains:\n - `Series []Series` - array of individual time-series (one per node)\n - `StatisticsSeries *StatsSeries` - optional aggregated stats (min/mean/median/max over time)\n - `Timestep int` - sampling interval in seconds\n\n**Resampling applies ONLY to:**\n- `Series[].Data` (the raw time-series points) — lines 151 in dataLoader.go\n- **NOT to StatisticsSeries** (aggregated data is left unchanged)\n\n### 5. **Resampler Source and AVERAGE Implementation**\n\n**Version: cc-lib v2.12.0** (from go.mod line 12)\n\n**File**: `/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/resampler/resampler.go`\n\n**GetResampler function (lines 284-297):**\n```go\nfunc GetResampler(name string) (ResamplerFunc, error) {\n switch name {\n case \"\", \"lttb\":\n return LargestTriangleThreeBucket, nil\n case \"average\":\n return AverageResampler, nil\n case \"simple\":\n return SimpleResampler, nil\n default:\n return nil, fmt.Errorf(\"unknown resampler algorithm: %s\", name)\n }\n}\n```\n\n**AVERAGE Resampler Implementation (lines 315-344):**\n```go\nfunc AverageResampler(data []schema.Float, oldFrequency int64, newFrequency int64) ([]schema.Float, int64, error) {\n newDataLength, step, err := validateFrequency(len(data), oldFrequency, newFrequency)\n if err != nil {\n return nil, 0, err\n }\n if newDataLength == -1 {\n return data, oldFrequency, nil // No resampling\n }\n \n newData := make([]schema.Float, newDataLength)\n for i := range newDataLength {\n sum := 0.0\n count := 0\n base := i * step\n for j := range step {\n v := float64(data[base+j])\n if !math.IsNaN(v) {\n sum += v\n count++\n }\n }\n if count == 0 {\n newData[i] = schema.NaN // All values in bucket were NaN\n } else {\n newData[i] = schema.Float(sum / float64(count)) // Arithmetic mean\n }\n }\n \n return newData, newFrequency, nil\n}\n```\n\n**Average algorithm**: Divides data into fixed-size buckets based on step size and computes arithmetic mean of valid (non-NaN) points in each bucket. If all points in a bucket are NaN, result is NaN.\n\n### 6. **Resolution Computation Policy** (`internal/metricdispatch/resamplepolicy.go`)\n\nThe resolution is computed from user policy **BEFORE** passing to LoadData:\n\n```go\nfunc ComputeResolution(duration int64, frequency int64, targetPoints int) int {\n if frequency <= 0 || targetPoints <= 0 || duration <= 0 {\n return 0 // Returns 0 if can't compute\n }\n \n totalPoints := duration / frequency\n if totalPoints <= int64(targetPoints) {\n return 0 // No resampling needed if already below target\n }\n \n targetRes := math.Ceil(float64(duration) / float64(targetPoints))\n // Round up to nearest multiple of frequency\n resolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)\n \n return resolution\n}\n```\n\nPolicies: Low=200 points, Medium=500 points, High=1000 points.\n\n---\n\n### Summary Table\n\n| Aspect | Details |\n|--------|---------|\n| **When Applied** | ONLY for archived jobs (job.State != Running) |\n| **What's Resampled** | Series[].Data only (individual time-series) |\n| **What's NOT Resampled** | StatisticsSeries, Timestep is recalculated |\n| **Guard: No explicit if** | Yes - guard is implicit in resampler functions |\n| **Guard: resolution > 0** | Not in LoadData; implicit in validateFrequency (checks newFrequency ≤ oldFrequency) |\n| **Running Jobs** | Resolution param passed to metric store, NOT resampled in LoadData |\n| **AVERAGE Algorithm** | Bucketing + arithmetic mean of valid (non-NaN) values per bucket |\n| **Algorithms Available** | LTTB (default), Average, Simple |"}],"resolvedModel":"claude-haiku-4-5-20251001","totalDurationMs":82436,"totalTokens":42459,"totalToolUseCount":30,"usage":{"input_tokens":0,"cache_creation_input_tokens":2104,"cache_read_input_tokens":37451,"output_tokens":2904,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2104},"inference_geo":"not_available","iterations":[{"input_tokens":0,"output_tokens":2904,"cache_read_input_tokens":37451,"cache_creation_input_tokens":2104,"cache_creation":{"ephemeral_5m_input_tokens":2104,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":13,"searchCount":0,"bashCount":17,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}},"sourceToolAssistantUUID":"afc56bb5-02e6-4122-8cb3-75206abaacc2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"3bc84aa4-7033-43a5-b202-03960b6e673f","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01XBnKnuZ4RahUy7yY7JvJm1","type":"message","role":"assistant","content":[{"type":"text","text":"Both agents converged on a strong hypothesis: the plot renders `statisticsSeries` (min/mean/max bands) rather than the resampled `series.data`, and statisticsSeries handling may bypass resampling. Let me verify the critical details directly — the exact ordering in `dataLoader.go`, the user's actual config, and job 409's archived data."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3897,"cache_creation_input_tokens":7788,"cache_read_input_tokens":66856,"output_tokens":2539,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7788,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":3897,"output_tokens":2539,"cache_read_input_tokens":66856,"cache_creation_input_tokens":7788,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7788},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANWy6BTdv4iMHaedro4","type":"assistant","uuid":"161f81dd-7c2f-4f88-85cc-9f866ea93c2e","timestamp":"2026-06-18T08:00:06.117Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"a57e185c-5146-4a6b-bcde-06b2cd6ddffc","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EH9gQPwbk2w94Z3GUUx6CC","type":"tool_result","content":"86\tfunc LoadData(job *schema.Job,\n87\t\tmetrics []string,\n88\t\tscopes []schema.MetricScope,\n89\t\tctx context.Context,\n90\t\tresolution int,\n91\t\tresampleAlgo string,\n92\t) (schema.JobData, error) {\n93\t\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n94\t\t\tvar jd schema.JobData\n95\t\t\tvar err error\n96\t\n97\t\t\tif job.State == schema.JobStateRunning ||\n98\t\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n99\t\n100\t\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n101\t\t\t\tif err != nil {\n102\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n103\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n104\t\t\t\t\treturn err, 0, 0\n105\t\t\t\t}\n106\t\n107\t\t\t\tif scopes == nil {\n108\t\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n109\t\t\t\t}\n110\t\n111\t\t\t\tif metrics == nil {\n112\t\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n113\t\t\t\t\tfor _, mc := range cluster.MetricConfig {\n114\t\t\t\t\t\tmetrics = append(metrics, mc.Name)\n115\t\t\t\t\t}\n116\t\t\t\t}\n117\t\n118\t\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n119\t\t\t\tif err != nil {\n120\t\t\t\t\tif len(jd) != 0 {\n121\t\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n122\t\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n123\t\t\t\t\t} else {\n124\t\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n125\t\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n126\t\t\t\t\t\treturn err, 0, 0\n127\t\t\t\t\t}\n128\t\t\t\t}\n129\t\t\t\tsize = jd.Size()\n130\t\t\t} else {\n131\t\t\t\tvar jdTemp schema.JobData\n132\t\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n133\t\t\t\tif err != nil {\n134\t\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n135\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n136\t\t\t\t\treturn err, 0, 0\n137\t\t\t\t}\n138\t\n139\t\t\t\tjd = deepCopy(jdTemp)\n140\t\n141\t\t\t\t// Resample archived data to reduce data points to the requested resolution,\n142\t\t\t\t// improving transfer performance and client-side rendering.\n143\t\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n144\t\t\t\tif rfErr != nil {\n145\t\t\t\t\treturn rfErr, 0, 0\n146\t\t\t\t}\n147\t\t\t\tfor _, v := range jd {\n148\t\t\t\t\tfor _, v_ := range v {\n149\t\t\t\t\t\ttimestep := int64(0)\n150\t\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n151\t\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n152\t\t\t\t\t\t\tif err != nil {\n153\t\t\t\t\t\t\t\treturn err, 0, 0\n154\t\t\t\t\t\t\t}\n155\t\t\t\t\t\t}\n156\t\t\t\t\t\tv_.Timestep = int(timestep)\n157\t\t\t\t\t}\n158\t\t\t\t}\n159\t\n160\t\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n161\t\t\t\tif metrics != nil || scopes != nil {\n162\t\t\t\t\tif metrics == nil {\n163\t\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n164\t\t\t\t\t\tfor k := range jd {\n165\t\t\t\t\t\t\tmetrics = append(metrics, k)\n166\t\t\t\t\t\t}\n167\t\t\t\t\t}\n168\t\n169\t\t\t\t\tres := schema.JobData{}\n170\t\t\t\t\tfor _, metric := range metrics {\n171\t\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n172\t\t\t\t\t\t\tif len(perscope) > 1 {\n173\t\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n174\t\t\t\t\t\t\t\tfor _, scope := range scopes {\n175\t\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n176\t\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n177\t\t\t\t\t\t\t\t\t}\n178\t\t\t\t\t\t\t\t}\n179\t\n180\t\t\t\t\t\t\t\tif len(subset) > 0 {\n181\t\t\t\t\t\t\t\t\tperscope = subset\n182\t\t\t\t\t\t\t\t}\n183\t\t\t\t\t\t\t}\n184\t\n185\t\t\t\t\t\t\tres[metric] = perscope\n186\t\t\t\t\t\t}\n187\t\t\t\t\t}\n188\t\t\t\t\tjd = res\n189\t\t\t\t}\n190\t\t\t\tsize = jd.Size()\n191\t\t\t}\n192\t\n193\t\t\tttl = 5 * time.Hour\n194\t\t\tif job.State == schema.JobStateRunning {\n195\t\t\t\tttl = 2 * time.Minute\n196\t\t\t}\n197\t\n198\t\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n199\t\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n200\t\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n201\t\t\tconst maxSeriesSize int = 8\n202\t\t\tfor _, scopes := range jd {\n203\t\t\t\tfor _, jm := range scopes {\n204\t\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n205\t\t\t\t\t\tcontinue\n206\t\t\t\t\t}\n207\t\n208\t\t\t\t\tjm.AddStatisticsSeries()\n209\t\t\t\t}\n210\t\t\t}\n211\t\n212\t\t\tnodeScopeRequested := false\n213\t\t\tfor _, scope := range scopes {\n214\t\t\t\tif scope == schema.MetricScopeNode {\n215\t\t\t\t\tnodeScopeRequested = true"}]},"uuid":"4b00b5a4-2679-4af8-9c8c-5595a17bab72","timestamp":"2026-06-18T08:00:07.577Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go","content":"func LoadData(job *schema.Job,\n\tmetrics []string,\n\tscopes []schema.MetricScope,\n\tctx context.Context,\n\tresolution int,\n\tresampleAlgo string,\n) (schema.JobData, error) {\n\tdata := cache.Get(cacheKey(job, metrics, scopes, resolution, resampleAlgo), func() (_ any, ttl time.Duration, size int) {\n\t\tvar jd schema.JobData\n\t\tvar err error\n\n\t\tif job.State == schema.JobStateRunning ||\n\t\t\tjob.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving {\n\n\t\t\tms, err := GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tif scopes == nil {\n\t\t\t\tscopes = append(scopes, schema.MetricScopeNode)\n\t\t\t}\n\n\t\t\tif metrics == nil {\n\t\t\t\tcluster := archive.GetCluster(job.Cluster)\n\t\t\t\tfor _, mc := range cluster.MetricConfig {\n\t\t\t\t\tmetrics = append(metrics, mc.Name)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tjd, err = ms.LoadData(job, metrics, scopes, ctx, resolution)\n\t\t\tif err != nil {\n\t\t\t\tif len(jd) != 0 {\n\t\t\t\t\tcclog.Warnf(\"partial error loading metrics from store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to load job data from metric store for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\treturn err, 0, 0\n\t\t\t\t}\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t} else {\n\t\t\tvar jdTemp schema.JobData\n\t\t\tjdTemp, err = archive.GetHandle().LoadJobData(job)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Warnf(\"failed to load job data from archive for job %d (user: %s, project: %s, cluster: %s-%s): %s\",\n\t\t\t\t\tjob.JobID, job.User, job.Project, job.Cluster, job.SubCluster, err.Error())\n\t\t\t\treturn err, 0, 0\n\t\t\t}\n\n\t\t\tjd = deepCopy(jdTemp)\n\n\t\t\t// Resample archived data to reduce data points to the requested resolution,\n\t\t\t// improving transfer performance and client-side rendering.\n\t\t\tresampleFn, rfErr := resampler.GetResampler(resampleAlgo)\n\t\t\tif rfErr != nil {\n\t\t\t\treturn rfErr, 0, 0\n\t\t\t}\n\t\t\tfor _, v := range jd {\n\t\t\t\tfor _, v_ := range v {\n\t\t\t\t\ttimestep := int64(0)\n\t\t\t\t\tfor i := 0; i < len(v_.Series); i += 1 {\n\t\t\t\t\t\tv_.Series[i].Data, timestep, err = resampleFn(v_.Series[i].Data, int64(v_.Timestep), int64(resolution))\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\treturn err, 0, 0\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tv_.Timestep = int(timestep)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Filter job data to only include requested metrics and scopes, avoiding unnecessary data transfer.\n\t\t\tif metrics != nil || scopes != nil {\n\t\t\t\tif metrics == nil {\n\t\t\t\t\tmetrics = make([]string, 0, len(jd))\n\t\t\t\t\tfor k := range jd {\n\t\t\t\t\t\tmetrics = append(metrics, k)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tres := schema.JobData{}\n\t\t\t\tfor _, metric := range metrics {\n\t\t\t\t\tif perscope, ok := jd[metric]; ok {\n\t\t\t\t\t\tif len(perscope) > 1 {\n\t\t\t\t\t\t\tsubset := make(map[schema.MetricScope]*schema.JobMetric)\n\t\t\t\t\t\t\tfor _, scope := range scopes {\n\t\t\t\t\t\t\t\tif jm, ok := perscope[scope]; ok {\n\t\t\t\t\t\t\t\t\tsubset[scope] = jm\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif len(subset) > 0 {\n\t\t\t\t\t\t\t\tperscope = subset\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tres[metric] = perscope\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tjd = res\n\t\t\t}\n\t\t\tsize = jd.Size()\n\t\t}\n\n\t\tttl = 5 * time.Hour\n\t\tif job.State == schema.JobStateRunning {\n\t\t\tttl = 2 * time.Minute\n\t\t}\n\n\t\t// Generate statistics series for jobs with many nodes to enable min/median/max graphs\n\t\t// instead of overwhelming the UI with individual node lines. Note that newly calculated\n\t\t// statistics use min/median/max, while archived statistics may use min/mean/max.\n\t\tconst maxSeriesSize int = 8\n\t\tfor _, scopes := range jd {\n\t\t\tfor _, jm := range scopes {\n\t\t\t\tif jm.StatisticsSeries != nil || len(jm.Series) < maxSeriesSize {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tjm.AddStatisticsSeries()\n\t\t\t}\n\t\t}\n\n\t\tnodeScopeRequested := false\n\t\tfor _, scope := range scopes {\n\t\t\tif scope == schema.MetricScopeNode {\n\t\t\t\tnodeScopeRequested = true","numLines":130,"startLine":86,"totalLines":541}},"sourceToolAssistantUUID":"a57e185c-5146-4a6b-bcde-06b2cd6ddffc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"6492d5b2-8435-450b-aa05-3fa21fa2ae2a","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019QnbdPq1PkQByWvj5oacdE","type":"tool_result","content":"1\t{\n2\t \"main\": {\n3\t \"addr\": \"127.0.0.1:8080\"\n4\t },\n5\t \"cron\": {\n6\t \"commit-job-worker\": \"1m\",\n7\t \"duration-worker\": \"3m\",\n8\t \"footprint-worker\": \"5m\"\n9\t },\n10\t \"auth\": {\n11\t \"jwts\": {\n12\t \"max-age\": \"2000h\"\n13\t }\n14\t },\n15\t \"metric-store-external\": [\n16\t {\n17\t \"scope\": \"fritz\",\n18\t \"url\": \"http://0.0.0.0:8082\",\n19\t \"token\": \"REDACTED\"\n20\t }\n21\t ],\n22\t \"resampling\": {\n23\t \"default-policy\": \"low\",\n24\t \"default-algo\": \"average\"\n25\t },\n26\t \"metric-store\": {\n27\t \"retention-in-memory\": \"24h\",\n28\t \"memory-cap\": 100\n29\t }\n30\t}\n31\t"}]},"uuid":"edae24ee-bc74-4abc-995f-fd49eefb8c0c","timestamp":"2026-06-18T08:00:07.666Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","content":"{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"3m\",\n \"footprint-worker\": \"5m\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"fritz\",\n \"url\": \"http://0.0.0.0:8082\",\n \"token\": \"REDACTED\"\n }\n ],\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n },\n \"metric-store\": {\n \"retention-in-memory\": \"24h\",\n \"memory-cap\": 100\n }\n}\n","numLines":31,"startLine":1,"totalLines":31}},"sourceToolAssistantUUID":"6492d5b2-8435-450b-aa05-3fa21fa2ae2a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"edae24ee-bc74-4abc-995f-fd49eefb8c0c","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"7e2d620f-317f-4aa0-ad5f-905c74c535ee","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Tyu1GuKFimAKdui43ZemLr","type":"message","role":"assistant","content":[{"type":"text","text":"Job 409: jobID=398864, cluster=fritz, **numNodes=1**, completed, monitoring_status=3 (archived), duration ~15.6h. A single fritz node has many cores, so at **core scope** there will be ≥8 series → `AddStatisticsSeries` territory. The decisive question is whether the archive **already stores** a `statisticsSeries` (so `AddStatisticsSeries` is skipped and full-resolution stats are shown). Let me inspect the archive file."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2373,"cache_read_input_tokens":83539,"output_tokens":1357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2373,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1357,"cache_read_input_tokens":83539,"cache_creation_input_tokens":2373,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2373},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANc91sHQgvuj1Gxhz1e","type":"assistant","uuid":"a62a4ce2-be21-4d6b-ae31-f1c5ac8c43fe","timestamp":"2026-06-18T08:00:59.943Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"0d18254c-6379-4674-85e8-9b973990a4f7","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015QSePAV14mJ7huazt4dC95","type":"tool_result","content":"=== search by startTime ===\n=== fritz top layout ===\n\"job-archive/fritz\": No such file or directory (os error 2)","is_error":false}]},"uuid":"6442a45f-f8f5-4e99-85ac-3c12f0743de1","timestamp":"2026-06-18T08:01:09.686Z","toolUseResult":{"stdout":"=== search by startTime ===\n=== fritz top layout ===\n\"job-archive/fritz\": No such file or directory (os error 2)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0d18254c-6379-4674-85e8-9b973990a4f7","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"6442a45f-f8f5-4e99-85ac-3c12f0743de1","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01FnazP8xgHATcK5MK86gmkG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0182Y6RBHR7ZGsm7YshSUeDr","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== job-archive top ===\"; ls job-archive 2>&1 | head; echo \"=== find 1675955241 anywhere ===\"; find . -type d -name '1675955241' 2>/dev/null | head; echo \"=== archive config ===\"; grep -rn \"job-archive\\|\\\"archive\\\"\\|path\" config.json configs/*.json 2>/dev/null | grep -i archive | head"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":361,"cache_read_input_tokens":87331,"output_tokens":206,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":361,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":206,"cache_read_input_tokens":87331,"cache_creation_input_tokens":361,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":361},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANe6kzQLYuSicdQdUyG","type":"assistant","uuid":"e8f65b9c-f624-4e71-9839-c3546d2a10b9","timestamp":"2026-06-18T08:01:13.368Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"e8f65b9c-f624-4e71-9839-c3546d2a10b9","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0182Y6RBHR7ZGsm7YshSUeDr","type":"tool_result","content":"=== job-archive top ===\n\"job-archive\": No such file or directory (os error 2)\n=== find 1675955241 anywhere ===\n./var/job-archive/fritz/398/864/1675955241\n=== archive config ===\nconfigs/config.json:14: \"target-path\": \"./var/nodestate-archive\"\nconfigs/config.json:46: \"archive\": {\nconfigs/config.json:87: \"mode\": \"archive\",","is_error":false}]},"uuid":"6f2e1725-4f84-45b3-ab15-2a7287725938","timestamp":"2026-06-18T08:01:15.401Z","toolUseResult":{"stdout":"=== job-archive top ===\n\"job-archive\": No such file or directory (os error 2)\n=== find 1675955241 anywhere ===\n./var/job-archive/fritz/398/864/1675955241\n=== archive config ===\nconfigs/config.json:14: \"target-path\": \"./var/nodestate-archive\"\nconfigs/config.json:46: \"archive\": {\nconfigs/config.json:87: \"mode\": \"archive\",","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"e8f65b9c-f624-4e71-9839-c3546d2a10b9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"6f2e1725-4f84-45b3-ab15-2a7287725938","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017FaMDMGA8xVT3KZ1RwsL8s","type":"message","role":"assistant","content":[{"type":"text","text":"The archive is under `var/`. Let me inspect job 409's archived data for a stored `statisticsSeries`, scopes, and series counts."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":347,"cache_read_input_tokens":87692,"output_tokens":179,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":347,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":179,"cache_read_input_tokens":87692,"cache_creation_input_tokens":347,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":347},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANeXCfardArF4WnnrtL","type":"assistant","uuid":"57682b28-8079-4c17-aab9-1b46530a24cc","timestamp":"2026-06-18T08:01:21.180Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"57682b28-8079-4c17-aab9-1b46530a24cc","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017FaMDMGA8xVT3KZ1RwsL8s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013E5Cj1WU3yDH5KpS4wfsXS","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; D=var/job-archive/fritz/398/864/1675955241; ls -la \"$D\"; echo \"=== which data file ===\"; ls \"$D\"/data.json* 2>&1"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":347,"cache_read_input_tokens":87692,"output_tokens":179,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":347,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":179,"cache_read_input_tokens":87692,"cache_creation_input_tokens":347,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":347},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANeXCfardArF4WnnrtL","type":"assistant","uuid":"042203c9-992b-48d6-b22d-88b1fac6d85b","timestamp":"2026-06-18T08:01:22.132Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"042203c9-992b-48d6-b22d-88b1fac6d85b","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013E5Cj1WU3yDH5KpS4wfsXS","type":"tool_result","content":".rw-r--r--@ 502k jan 9 Sep 2025 data.json.gz\n.rw-r--r--@ 2.6k jan 9 Sep 2025 meta.json\n=== which data file ===\nvar/job-archive/fritz/398/864/1675955241/data.json.gz","is_error":false}]},"uuid":"5c3f2746-4924-4b63-8470-9866d7dbbfd8","timestamp":"2026-06-18T08:01:24.569Z","toolUseResult":{"stdout":".rw-r--r--@ 502k jan 9 Sep 2025 data.json.gz\n.rw-r--r--@ 2.6k jan 9 Sep 2025 meta.json\n=== which data file ===\nvar/job-archive/fritz/398/864/1675955241/data.json.gz","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"042203c9-992b-48d6-b22d-88b1fac6d85b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"5c3f2746-4924-4b63-8470-9866d7dbbfd8","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"mode","mode":"normal","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"permission-mode","permissionMode":"plan","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"parentUuid":"5c3f2746-4924-4b63-8470-9866d7dbbfd8","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Tn1yfYrgTcTu7G3sYNDhsm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J1egA9ayRSbf8MzpSbHZ5A","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; D=var/job-archive/fritz/398/864/1675955241; echo \"=== top-level metrics ===\"; gzcat \"$D\"/data.json.gz | python3 -c '\nimport json,sys\nd=json.load(sys.stdin)\nfor metric,scopes in d.items():\n for scope,jm in scopes.items():\n ns=len(jm.get(\"series\",[]) or [])\n has_stats = jm.get(\"statisticsSeries\") is not None\n ts=jm.get(\"timestep\")\n dlen=len(jm[\"series\"][0][\"data\"]) if ns else 0\n print(f\"{metric:20s} scope={scope:12s} series={ns:3d} timestep={ts:4} dataLen={dlen:5d} statisticsSeries={has_stats}\")\n' 2>&1 | head -60"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":282,"cache_read_input_tokens":88039,"output_tokens":341,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":282,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":341,"cache_read_input_tokens":88039,"cache_creation_input_tokens":282,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":282},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANfCSaam25UXCC3qgDQ","type":"assistant","uuid":"0d17cffc-9fba-4278-93ff-6c3f14f416b5","timestamp":"2026-06-18T08:01:29.685Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"0d17cffc-9fba-4278-93ff-6c3f14f416b5","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J1egA9ayRSbf8MzpSbHZ5A","type":"tool_result","content":"=== top-level metrics ===\nclock scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nclock scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_load scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_power scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_power scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_user scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_user scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_any scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_any scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_dp scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_dp scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_sp scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_sp scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_recv scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_recv_pkts scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_xmit scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_xmit_pkts scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nipc scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nipc scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_bw scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_bw scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_power scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_power scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_used scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_read scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_total scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_write scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nvectorization_ratio scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nvectorization_ratio scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False","is_error":false}]},"uuid":"e8838f40-aed7-4db2-822e-86725e1b1998","timestamp":"2026-06-18T08:01:31.937Z","toolUseResult":{"stdout":"=== top-level metrics ===\nclock scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nclock scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_load scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_power scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_power scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_user scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\ncpu_user scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_any scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_any scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_dp scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_dp scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_sp scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nflops_sp scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_recv scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_recv_pkts scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_xmit scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nib_xmit_pkts scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nipc scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nipc scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_bw scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_bw scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_power scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_power scope=socket series= 2 timestep= 60 dataLen= 937 statisticsSeries=False\nmem_used scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_read scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_total scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nnfs4_write scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False\nvectorization_ratio scope=core series= 72 timestep= 60 dataLen= 937 statisticsSeries=False\nvectorization_ratio scope=node series= 1 timestep= 60 dataLen= 937 statisticsSeries=False","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0d17cffc-9fba-4278-93ff-6c3f14f416b5","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"c1920ed8-25d5-41f4-8941-d96922fb4921","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01WgrGN1oLrrXyqPwxzHi8Eu","type":"message","role":"assistant","content":[{"type":"text","text":"Key finding: job 409's archive has **no stored `statisticsSeries`** (all `False`), data is 937 points at 60s timestep, with 72-series core-scope metrics. So `AddStatisticsSeries` runs *after* resampling — meaning resampling *should* be visible. Since the user sees no effect at all, resampling likely isn't being applied. Let me verify two prime suspects: (1) whether the `resampling` config is even parsed (nesting level / `EnableResampling` nil), and (2) the cc-lib `validateFrequency`/`MinimumRequiredPoints` gate."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1554,"cache_read_input_tokens":88321,"output_tokens":6205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1554,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":6205,"cache_read_input_tokens":88321,"cache_creation_input_tokens":1554,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1554},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANfjswQHqTopgwfaXSw","type":"assistant","uuid":"5a34533c-2b18-40e9-916d-343b0ec0e4b6","timestamp":"2026-06-18T08:02:51.143Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"5a34533c-2b18-40e9-916d-343b0ec0e4b6","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01WgrGN1oLrrXyqPwxzHi8Eu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MataGqcv7N6bLCNh1aCdnN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","offset":1,"limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1554,"cache_read_input_tokens":88321,"output_tokens":6205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1554,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":6205,"cache_read_input_tokens":88321,"cache_creation_input_tokens":1554,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1554},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANfjswQHqTopgwfaXSw","type":"assistant","uuid":"5f670da4-9269-49de-9dbf-d37dbd3e7169","timestamp":"2026-06-18T08:02:52.326Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"5f670da4-9269-49de-9dbf-d37dbd3e7169","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MataGqcv7N6bLCNh1aCdnN","type":"tool_result","content":"1\t// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n2\t// All rights reserved. This file is part of cc-backend.\n3\t// Use of this source code is governed by a MIT-style\n4\t// license that can be found in the LICENSE file.\n5\t\n6\t// Package config implements the program configuration data structures, validation and parsing\n7\tpackage config\n8\t\n9\timport (\n10\t\t\"bytes\"\n11\t\t\"encoding/json\"\n12\t\t\"time\"\n13\t\n14\t\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n15\t\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n16\t)\n17\t\n18\ttype ProgramConfig struct {\n19\t\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n20\t\tAddr string `json:\"addr\"`\n21\t\n22\t\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n23\t\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n24\t\n25\t\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n26\t\n27\t\t// Drop root permissions once the config was read and the port was taken.\n28\t\tUser string `json:\"user\"`\n29\t\tGroup string `json:\"group\"`\n30\t\n31\t\t// Disable authentication (for everything: API, Web-UI, ...)\n32\t\tDisableAuthentication bool `json:\"disable-authentication\"`\n33\t\n34\t\t// If `embed-static-files` is true (default), the frontend files are directly\n35\t\t// embeded into the go binary and expected to be in web/frontend. Only if\n36\t\t// it is false the files in `static-files` are served instead.\n37\t\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n38\t\tStaticFiles string `json:\"static-files\"`\n39\t\n40\t\t// Path to SQLite database file\n41\t\tDB string `json:\"db\"`\n42\t\n43\t\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n44\t\n45\t\t// Validate json input against schema\n46\t\tValidate bool `json:\"validate\"`\n47\t\n48\t\t// If 0 or empty, the session does not expire!\n49\t\tSessionMaxAge string `json:\"session-max-age\"`\n50\t\n51\t\t// If both those options are not empty, use HTTPS using those certificates.\n52\t\tHTTPSCertFile string `json:\"https-cert-file\"`\n53\t\tHTTPSKeyFile string `json:\"https-key-file\"`\n54\t\n55\t\t// If not the empty string and `addr` does not end in \":80\",\n56\t\t// redirect every request incoming at port 80 to that url.\n57\t\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n58\t\n59\t\t// Where to store MachineState files\n60\t\tMachineStateDir string `json:\"machine-state-dir\"`\n61\t\n62\t\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n63\t\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n64\t\n65\t\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n66\t\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n67\t\n68\t\t// Energy Mix CO2 Emission Constant [g/kWh]\n69\t\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n70\t\tEmissionConstant int `json:\"emission-constant\"`\n71\t\n72\t\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n73\t\tEnableResampling *ResampleConfig `json:\"resampling\"`\n74\t\n75\t\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n76\t\tSystemdUnit string `json:\"systemd-unit\"`\n77\t\n78\t\t// Node state retention configuration\n79\t\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n80\t"}]},"uuid":"968ac24e-d435-4ade-9c7f-d228d38ac13f","timestamp":"2026-06-18T08:02:52.354Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once the config was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n","numLines":80,"startLine":1,"totalLines":195}},"sourceToolAssistantUUID":"5f670da4-9269-49de-9dbf-d37dbd3e7169","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"968ac24e-d435-4ade-9c7f-d228d38ac13f","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01WgrGN1oLrrXyqPwxzHi8Eu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FJmniz86wT8GeE6yJqPPRn","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== how config.Init is called ===\"; grep -rn \"config.Init\\|InitConfig\\|EnableResampling\\|MarshalJSON\\|configSchema\\|RawMessage\" cmd/cc-backend/*.go internal/config/config.go | head -30"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1554,"cache_read_input_tokens":88321,"output_tokens":6205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1554,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":6205,"cache_read_input_tokens":88321,"cache_creation_input_tokens":1554,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1554},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANfjswQHqTopgwfaXSw","type":"assistant","uuid":"18b0e23b-377d-44ae-97e4-676502e3858b","timestamp":"2026-06-18T08:02:53.433Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"18b0e23b-377d-44ae-97e4-676502e3858b","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FJmniz86wT8GeE6yJqPPRn","type":"tool_result","content":"=== how config.Init is called ===\ncmd/cc-backend/init.go:75:\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\ninternal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\ninternal/config/config.go:166:func Init(mainConfig json.RawMessage) {\ninternal/config/config.go:167:\tValidate(configSchema, mainConfig)\ninternal/config/config.go:174:\tif Keys.EnableResampling != nil {\ninternal/config/config.go:175:\t\tpolicy := Keys.EnableResampling.DefaultPolicy\ncmd/cc-backend/main.go:99:\tconfig.Init(cfg)\ncmd/cc-backend/main.go:305:\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)","is_error":false}]},"uuid":"5376e8b5-f676-4209-a2e0-0d0ad381ddd1","timestamp":"2026-06-18T08:02:53.487Z","toolUseResult":{"stdout":"=== how config.Init is called ===\ncmd/cc-backend/init.go:75:\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\ninternal/config/config.go:73:\tEnableResampling *ResampleConfig `json:\"resampling\"`\ninternal/config/config.go:166:func Init(mainConfig json.RawMessage) {\ninternal/config/config.go:167:\tValidate(configSchema, mainConfig)\ninternal/config/config.go:174:\tif Keys.EnableResampling != nil {\ninternal/config/config.go:175:\t\tpolicy := Keys.EnableResampling.DefaultPolicy\ncmd/cc-backend/main.go:99:\tconfig.Init(cfg)\ncmd/cc-backend/main.go:305:\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"18b0e23b-377d-44ae-97e4-676502e3858b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"5376e8b5-f676-4209-a2e0-0d0ad381ddd1","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"mode","mode":"normal","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"permission-mode","permissionMode":"plan","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"parentUuid":"5376e8b5-f676-4209-a2e0-0d0ad381ddd1","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_0189y5Uf9fx8AyX96WMmDm1A","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7884,"cache_read_input_tokens":89875,"output_tokens":767,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7884,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":767,"cache_read_input_tokens":89875,"cache_creation_input_tokens":7884,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7884},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANmoJVBU4tCacMKgw2b","type":"assistant","uuid":"bd6df38f-1537-4f4d-93bc-c2f4101ff237","timestamp":"2026-06-18T08:03:04.127Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"bd6df38f-1537-4f4d-93bc-c2f4101ff237","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_0189y5Uf9fx8AyX96WMmDm1A","type":"message","role":"assistant","content":[{"type":"text","text":"`EnableResampling` lives in `ProgramConfig` (json `\"resampling\"`), and `config.Init` parses the **\"main\"** section (since `addr` maps to `main.addr`). But the user's config.json has `\"resampling\"` at the **top level**, as a sibling of `\"main\"` — not inside it. Let me confirm how the config file is split into sections."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7884,"cache_read_input_tokens":89875,"output_tokens":767,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7884,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":767,"cache_read_input_tokens":89875,"cache_creation_input_tokens":7884,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7884},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANmoJVBU4tCacMKgw2b","type":"assistant","uuid":"e2c3fe9c-0743-424d-8fa7-76b4d5420840","timestamp":"2026-06-18T08:03:05.071Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"e2c3fe9c-0743-424d-8fa7-76b4d5420840","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_0189y5Uf9fx8AyX96WMmDm1A","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TSLHz5PimfXq4Z265BrFfY","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go","offset":80,"limit":110},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7884,"cache_read_input_tokens":89875,"output_tokens":767,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7884,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":767,"cache_read_input_tokens":89875,"cache_creation_input_tokens":7884,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7884},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANmoJVBU4tCacMKgw2b","type":"assistant","uuid":"1222dfbf-d8ce-4358-9b15-23e9d290c3fc","timestamp":"2026-06-18T08:03:05.847Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"1222dfbf-d8ce-4358-9b15-23e9d290c3fc","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TSLHz5PimfXq4Z265BrFfY","type":"tool_result","content":"80\tfunc initGops() error {\n81\t\tif !flagGops {\n82\t\t\treturn nil\n83\t\t}\n84\t\n85\t\tif err := agent.Listen(agent.Options{}); err != nil {\n86\t\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n87\t\t}\n88\t\treturn nil\n89\t}\n90\t\n91\tfunc initConfiguration() error {\n92\t\tccconf.Init(flagConfigFile)\n93\t\n94\t\tcfg := ccconf.GetPackageConfig(\"main\")\n95\t\tif cfg == nil {\n96\t\t\treturn fmt.Errorf(\"main configuration must be present\")\n97\t\t}\n98\t\n99\t\tconfig.Init(cfg)\n100\t\treturn nil\n101\t}\n102\t\n103\tfunc initDatabase() error {\n104\t\tif config.Keys.DbConfig != nil {\n105\t\t\tcfg := repository.DefaultConfig()\n106\t\t\tdc := config.Keys.DbConfig\n107\t\t\tif dc.CacheSizeMB > 0 {\n108\t\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n109\t\t\t}\n110\t\t\tif dc.SoftHeapLimitMB > 0 {\n111\t\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n112\t\t\t}\n113\t\t\tif dc.MaxOpenConnections > 0 {\n114\t\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n115\t\t\t}\n116\t\t\tif dc.MaxIdleConnections > 0 {\n117\t\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n118\t\t\t}\n119\t\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n120\t\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n121\t\t\t}\n122\t\t\tif dc.BusyTimeoutMs > 0 {\n123\t\t\t\tcfg.BusyTimeoutMs = dc.BusyTimeoutMs\n124\t\t\t}\n125\t\t\trepository.SetConfig(cfg)\n126\t\t}\n127\t\trepository.Connect(config.Keys.DB)\n128\t\treturn nil\n129\t}\n130\t\n131\tfunc handleDatabaseCommands() error {\n132\t\tif flagMigrateDB {\n133\t\t\terr := repository.MigrateDB(config.Keys.DB)\n134\t\t\tif err != nil {\n135\t\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n136\t\t\t}\n137\t\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n138\t\t\t\tconfig.Keys.DB, repository.Version)\n139\t\t}\n140\t\n141\t\tif flagRevertDB {\n142\t\t\terr := repository.RevertDB(config.Keys.DB)\n143\t\t\tif err != nil {\n144\t\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n145\t\t\t}\n146\t\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n147\t\t\t\tconfig.Keys.DB, repository.Version-1)\n148\t\t}\n149\t\n150\t\tif flagForceDB {\n151\t\t\terr := repository.ForceDB(config.Keys.DB)\n152\t\t\tif err != nil {\n153\t\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n154\t\t\t}\n155\t\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n156\t\t\t\tconfig.Keys.DB, repository.Version)\n157\t\t}\n158\t\n159\t\treturn nil\n160\t}\n161\t\n162\tfunc handleUserCommands() error {\n163\t\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n164\t\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n165\t\t}\n166\t\n167\t\t// Always initialize the auth subsystem so the HTTP server and REST API have a\n168\t\t// valid (non-nil) auth instance, even when authentication is disabled. With\n169\t\t// authentication disabled, Init only sets up an ephemeral session store and\n170\t\t// registers no authenticators (see auth.Init).\n171\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n172\t\t\tauth.Init(&cfg)\n173\t\t} else {\n174\t\t\tif !config.Keys.DisableAuthentication {\n175\t\t\t\tcclog.Warn(\"Authentication enabled but no auth configuration found\")\n176\t\t\t}\n177\t\t\tauth.Init(nil)\n178\t\t}\n179\t\n180\t\tif !config.Keys.DisableAuthentication {\n181\t\t\t// Check for default security keys\n182\t\t\tcheckDefaultSecurityKeys()\n183\t\n184\t\t\tif flagNewUser != \"\" {\n185\t\t\t\tif err := addUser(flagNewUser); err != nil {\n186\t\t\t\t\treturn err\n187\t\t\t\t}\n188\t\t\t}\n189\t"}]},"uuid":"ffa329c5-97c6-48e9-8a96-110f6c5cb8d2","timestamp":"2026-06-18T08:03:05.873Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go","content":"func initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\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\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\tif dc.BusyTimeoutMs > 0 {\n\t\t\tcfg.BusyTimeoutMs = dc.BusyTimeoutMs\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\t// Always initialize the auth subsystem so the HTTP server and REST API have a\n\t// valid (non-nil) auth instance, even when authentication is disabled. With\n\t// authentication disabled, Init only sets up an ephemeral session store and\n\t// registers no authenticators (see auth.Init).\n\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\tauth.Init(&cfg)\n\t} else {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tcclog.Warn(\"Authentication enabled but no auth configuration found\")\n\t\t}\n\t\tauth.Init(nil)\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n","numLines":110,"startLine":80,"totalLines":607}},"sourceToolAssistantUUID":"1222dfbf-d8ce-4358-9b15-23e9d290c3fc","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"cbe13944-e14e-4805-b589-b2aedfafd984","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01EyF7cBs9W9kPGyxtkTH4PF","type":"message","role":"assistant","content":[{"type":"text","text":"Confirmed the architecture: `config.Init` only receives `ccconf.GetPackageConfig(\"main\")`, so `EnableResampling` is read from `main.resampling`. The user's config.json has `resampling` at the **top level**, a sibling of `main` — so it's silently ignored and `config.Keys.EnableResampling == nil`. Let me confirm the downstream consequence: the cc-lib default `MinimumRequiredPoints` (which `config.Init` only overrides when `EnableResampling != nil`)."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":2380,"cache_read_input_tokens":97759,"output_tokens":3157,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2380,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":3157,"cache_read_input_tokens":97759,"cache_creation_input_tokens":2380,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2380},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANnfZBXsLDzjt9XeYR5","type":"assistant","uuid":"28fb1c35-5825-4a75-b5be-fcc9f94a162a","timestamp":"2026-06-18T08:03:44.658Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"28fb1c35-5825-4a75-b5be-fcc9f94a162a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01EyF7cBs9W9kPGyxtkTH4PF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015eMPihDkqbvscqZrLXVU7m","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; R=$(find ~/go/pkg/mod/github.com/\\!cluster\\!cockpit -type d -name resampler 2>/dev/null | sort | tail -1); echo \"RESAMPLER DIR: $R\"; echo \"=== MinimumRequiredPoints default + Set + validateFrequency ===\"; grep -n \"MinimumRequiredPoints\\|func SetMinimumRequiredPoints\\|func validateFrequency\\|newFrequency <= oldFrequency\\|lenData <\" \"$R\"/resampler.go 2>&1 | head -30"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":2380,"cache_read_input_tokens":97759,"output_tokens":3157,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2380,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":3157,"cache_read_input_tokens":97759,"cache_creation_input_tokens":2380,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2380},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANnfZBXsLDzjt9XeYR5","type":"assistant","uuid":"845d2b25-701e-4fc0-a127-f42addbc1488","timestamp":"2026-06-18T08:03:46.496Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"845d2b25-701e-4fc0-a127-f42addbc1488","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015eMPihDkqbvscqZrLXVU7m","type":"tool_result","content":"RESAMPLER DIR: /Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.9.1/resampler\n=== MinimumRequiredPoints default + Set + validateFrequency ===\n32:// MinimumRequiredPoints is the default number of points required to trigger resampling.\n34:var MinimumRequiredPoints int = 1000\n99:// - newFrequency <= oldFrequency (no downsampling needed)\n127:func validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n129:\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n142:\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n177:// - newFrequency <= oldFrequency (no downsampling needed)\n281:func SetMinimumRequiredPoints(setVal int) {\n282:\tMinimumRequiredPoints = setVal","is_error":false}]},"uuid":"2d58c659-fe5b-4e1c-8ebb-3b6fa30b260b","timestamp":"2026-06-18T08:03:48.179Z","toolUseResult":{"stdout":"RESAMPLER DIR: /Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.9.1/resampler\n=== MinimumRequiredPoints default + Set + validateFrequency ===\n32:// MinimumRequiredPoints is the default number of points required to trigger resampling.\n34:var MinimumRequiredPoints int = 1000\n99:// - newFrequency <= oldFrequency (no downsampling needed)\n127:func validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n129:\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n142:\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n177:// - newFrequency <= oldFrequency (no downsampling needed)\n281:func SetMinimumRequiredPoints(setVal int) {\n282:\tMinimumRequiredPoints = setVal","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"845d2b25-701e-4fc0-a127-f42addbc1488","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"2d58c659-fe5b-4e1c-8ebb-3b6fa30b260b","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017BdYCfphApTLMtAxxgsuPB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3651,"cache_read_input_tokens":100139,"output_tokens":890,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3651,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":890,"cache_read_input_tokens":100139,"cache_creation_input_tokens":3651,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3651},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANqnQ2Yt1eWk4hSE86D","type":"assistant","uuid":"ba096be7-dc08-4133-99dd-55b5160f3532","timestamp":"2026-06-18T08:03:57.516Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"ba096be7-dc08-4133-99dd-55b5160f3532","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017BdYCfphApTLMtAxxgsuPB","type":"message","role":"assistant","content":[{"type":"text","text":"The root cause is now airtight. Let me confirm the go.mod version and check where the **example** config places the `resampling` block (to see if docs are misleading too)."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3651,"cache_read_input_tokens":100139,"output_tokens":890,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3651,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":890,"cache_read_input_tokens":100139,"cache_creation_input_tokens":3651,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3651},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANqnQ2Yt1eWk4hSE86D","type":"assistant","uuid":"5567275a-729e-4a8f-93e7-8275d8a4128b","timestamp":"2026-06-18T08:03:58.458Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"5567275a-729e-4a8f-93e7-8275d8a4128b","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017BdYCfphApTLMtAxxgsuPB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017LbsTNPpVQmcjUVHJSAuMf","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== go.mod cc-lib version ===\"; grep \"cc-lib\" go.mod; echo; echo \"=== resampling placement in example config(s) ===\"; grep -rn \"resampling\\|\\\"main\\\"\" configs/config.json docs/ 2>/dev/null | head; echo; echo \"=== validateFrequency body ===\"; R=$(find ~/go/pkg/mod/github.com/\\!cluster\\!cockpit -type d -name resampler 2>/dev/null | sort | tail -1); sed -n '127,146p' \"$R\"/resampler.go 2>/dev/null"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3651,"cache_read_input_tokens":100139,"output_tokens":890,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3651,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":890,"cache_read_input_tokens":100139,"cache_creation_input_tokens":3651,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3651},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANqnQ2Yt1eWk4hSE86D","type":"assistant","uuid":"008cd0c1-99ed-4532-be7e-e62c9803037d","timestamp":"2026-06-18T08:04:00.451Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"008cd0c1-99ed-4532-be7e-e62c9803037d","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017LbsTNPpVQmcjUVHJSAuMf","type":"tool_result","content":"=== go.mod cc-lib version ===\n\tgithub.com/ClusterCockpit/cc-lib/v2 v2.12.0\n\n=== resampling placement in example config(s) ===\nconfigs/config.json:2: \"main\": {\nconfigs/config.json:16: \"resampling\": {\n\n=== validateFrequency body ===\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n\t// Validate inputs and check if downsampling is needed\n\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n\t\treturn -1, 0, nil\n\t}\n\n\t// Ensure new frequency is a multiple of old frequency\n\tif newFrequency%oldFrequency != 0 {\n\t\treturn -1, 0, fmt.Errorf(\"new sampling frequency (%d) must be a multiple of old frequency (%d)\", newFrequency, oldFrequency)\n\t}\n\n\tstep := int(newFrequency / oldFrequency)\n\tnewDataLength := lenData / step\n\n\t// Don't downsample if result would be trivial or counterproductive\n\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n\t\treturn -1, 0, nil\n\t}\n\n\treturn newDataLength, step, nil","is_error":false}]},"uuid":"5402ab13-5c83-458c-a1fb-2cd0e8889a19","timestamp":"2026-06-18T08:04:02.532Z","toolUseResult":{"stdout":"=== go.mod cc-lib version ===\n\tgithub.com/ClusterCockpit/cc-lib/v2 v2.12.0\n\n=== resampling placement in example config(s) ===\nconfigs/config.json:2: \"main\": {\nconfigs/config.json:16: \"resampling\": {\n\n=== validateFrequency body ===\nfunc validateFrequency(lenData int, oldFrequency, newFrequency int64) (int, int, error) {\n\t// Validate inputs and check if downsampling is needed\n\tif oldFrequency == 0 || newFrequency == 0 || newFrequency <= oldFrequency {\n\t\treturn -1, 0, nil\n\t}\n\n\t// Ensure new frequency is a multiple of old frequency\n\tif newFrequency%oldFrequency != 0 {\n\t\treturn -1, 0, fmt.Errorf(\"new sampling frequency (%d) must be a multiple of old frequency (%d)\", newFrequency, oldFrequency)\n\t}\n\n\tstep := int(newFrequency / oldFrequency)\n\tnewDataLength := lenData / step\n\n\t// Don't downsample if result would be trivial or counterproductive\n\tif (newDataLength == 0) || (lenData < MinimumRequiredPoints) || (newDataLength >= lenData) {\n\t\treturn -1, 0, nil\n\t}\n\n\treturn newDataLength, step, nil","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"008cd0c1-99ed-4532-be7e-e62c9803037d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"5402ab13-5c83-458c-a1fb-2cd0e8889a19","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"dedab9e1-7968-4847-93fb-ffd405212ad2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BUfoJExZKnheAoqdc76zuP","type":"message","role":"assistant","content":[{"type":"text","text":"I've found the root cause with certainty. Let me write up the plan and confirm scope with you."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":705,"cache_read_input_tokens":105125,"output_tokens":3404,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":705,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":3404,"cache_read_input_tokens":105125,"cache_creation_input_tokens":705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":705},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANseji2oJLQj4K28Ww2","type":"assistant","uuid":"fe26a763-a1c1-4cc9-b96e-9f082c88e126","timestamp":"2026-06-18T08:04:39.749Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"fe26a763-a1c1-4cc9-b96e-9f082c88e126","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BUfoJExZKnheAoqdc76zuP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018W6egwYFVRJZE7EY6P6J3A","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","content":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Optional safeguard (pending user choice)\nAdd a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in\n`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported\ninstead of silently ignored.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":705,"cache_read_input_tokens":105125,"output_tokens":3404,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":705,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":3404,"cache_read_input_tokens":105125,"cache_creation_input_tokens":705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":705},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANseji2oJLQj4K28Ww2","type":"assistant","uuid":"85d1182f-6d1b-4837-b79a-cc11896647ab","timestamp":"2026-06-18T08:04:58.166Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"85d1182f-6d1b-4837-b79a-cc11896647ab","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018W6egwYFVRJZE7EY6P6J3A","type":"tool_result","content":"File created successfully at: /Users/jan/.claude/plans/logical-puzzling-ritchie.md (file state is current in your context — no need to Read it back)"}]},"uuid":"1132caca-5451-4fc8-af04-34a71eb81e38","timestamp":"2026-06-18T08:04:58.217Z","toolUseResult":{"type":"create","filePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","content":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Optional safeguard (pending user choice)\nAdd a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in\n`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported\ninstead of silently ignored.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"85d1182f-6d1b-4837-b79a-cc11896647ab","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"1132caca-5451-4fc8-af04-34a71eb81e38","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01MSN28iPZLZjMob9sesWZyo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JL4SKw7yTeNLxAEGCvgLLt","name":"AskUserQuestion","input":{"questions":[{"question":"The bug is that `resampling` sits at the top level of config.json instead of inside `main`, so it's silently ignored. How much should I fix?","header":"Fix scope","multiSelect":false,"options":[{"label":"Config fix + warning","description":"Move `resampling` into `main` in config.json AND add a startup warning when config.json has unrecognized top-level keys, so this footgun surfaces next time. Small Go change in main.go.","preview":"config.json: move resampling under main\n+ main.go: warn on unknown top-level keys\n e.g. \"ignoring unknown config section: resampling\""},{"label":"Config fix only","description":"Just move the `resampling` block into the `main` section of config.json. Minimal, fixes the immediate problem, no code change.","preview":"config.json only:\n \"main\": {\n \"addr\": ...,\n \"resampling\": { ... }\n }"}]}]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3461,"cache_read_input_tokens":105830,"output_tokens":376,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3461,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":376,"cache_read_input_tokens":105830,"cache_creation_input_tokens":3461,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3461},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANvx46FDiB5YFG5Yt8Y","type":"assistant","uuid":"8e0a15d9-a370-4094-a015-58342f137a20","timestamp":"2026-06-18T08:05:05.104Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"8e0a15d9-a370-4094-a015-58342f137a20","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Your questions have been answered: \"The bug is that `resampling` sits at the top level of config.json instead of inside `main`, so it's silently ignored. How much should I fix?\"=\"Config fix + warning\" selected preview:\nconfig.json: move resampling under main\n+ main.go: warn on unknown top-level keys\n e.g. \"ignoring unknown config section: resampling\". You can now continue with these answers in mind.","tool_use_id":"toolu_01JL4SKw7yTeNLxAEGCvgLLt"}]},"uuid":"ad986d2e-e224-41a5-ad24-57a16bfce63d","timestamp":"2026-06-18T08:05:36.326Z","toolUseResult":{"questions":[{"question":"The bug is that `resampling` sits at the top level of config.json instead of inside `main`, so it's silently ignored. How much should I fix?","header":"Fix scope","options":[{"label":"Config fix + warning","description":"Move `resampling` into `main` in config.json AND add a startup warning when config.json has unrecognized top-level keys, so this footgun surfaces next time. Small Go change in main.go.","preview":"config.json: move resampling under main\n+ main.go: warn on unknown top-level keys\n e.g. \"ignoring unknown config section: resampling\""},{"label":"Config fix only","description":"Just move the `resampling` block into the `main` section of config.json. Minimal, fixes the immediate problem, no code change.","preview":"config.json only:\n \"main\": {\n \"addr\": ...,\n \"resampling\": { ... }\n }"}],"multiSelect":false}],"answers":{"The bug is that `resampling` sits at the top level of config.json instead of inside `main`, so it's silently ignored. How much should I fix?":"Config fix + warning"},"annotations":{"The bug is that `resampling` sits at the top level of config.json instead of inside `main`, so it's silently ignored. How much should I fix?":{"preview":"config.json: move resampling under main\n+ main.go: warn on unknown top-level keys\n e.g. \"ignoring unknown config section: resampling\""}}},"sourceToolAssistantUUID":"8e0a15d9-a370-4094-a015-58342f137a20","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"2193c073-48ff-4acf-bb4e-be3fd01ef619","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Gzo3ZEJr8hdb455rbzcjQ9","type":"message","role":"assistant","content":[{"type":"text","text":"Good — config fix plus a startup warning. Let me check how `ccconf` loads and exposes the config so I can design the unknown-key warning correctly."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":514,"cache_read_input_tokens":109291,"output_tokens":388,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":514,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":388,"cache_read_input_tokens":109291,"cache_creation_input_tokens":514,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":514},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANym58USJ8c88mvGmBX","type":"assistant","uuid":"8236fdf5-2f63-4ced-961f-1184f8c661ff","timestamp":"2026-06-18T08:05:43.810Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"9fad2351-7e53-4051-9976-3d14d9280e4e","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ck3kqLk23woRvyiE2MuMjU","type":"tool_result","content":"DIR: /Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig\nconfig.go\nconfig_test.go\nREADME.md\ntestdata\n=== exported funcs ===\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:33:// and make it available via GetPackageConfig(\"sinks\").\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:55://\t rawConfig := ccconfig.GetPackageConfig(\"myapp\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:100:func Init(filename string) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:139:// GetPackageConfig retrieves the raw JSON configuration for a given key.\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:154://\trawConfig := ccconfig.GetPackageConfig(\"database\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:159:func GetPackageConfig(key string) json.RawMessage {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:175:func Reset() {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:192://\t config := ccconfig.GetPackageConfig(\"optional-feature\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:195:func HasKey(key string) bool {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:213:func GetKeys() []string {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:23:func TestInit(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:32:\trawConfig := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:41:\trawConfig = GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:53:func TestInitAll(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:62:\trawConfig := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:71:\trawConfig = GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:82:// TestGetPackageConfigNonExistent tests retrieving a non-existent key\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:83:func TestGetPackageConfigNonExistent(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:88:\trawConfig := GetPackageConfig(\"nonexistent\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:95:func TestReset(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:110:\t// Verify GetPackageConfig returns nil after reset\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:111:\trawConfig := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:118:func TestResetAndReload(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:123:\trawConfig1 := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:131:\trawConfig2 := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:147:func TestHasKey(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:167:func TestGetKeys(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:190:func TestGetKeysEmpty(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:201:func TestEmptyConfig(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:218:func TestConfigWithOnlyFileReferences(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:241:func TestNonexistentConfigFile(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:254:func TestMissingFileReference(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:269:\trawConfig := GetPackageConfig(\"missing\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:275:func TestMultipleInitCalls(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:299:func TestFileReferenceResolution(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:311:\tactualSinks := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:324:func TestConfigKeyNames(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:347:func TestInvalidJSONHandling(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:357:// BenchmarkGetPackageConfig benchmarks the config retrieval\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:358:func BenchmarkGetPackageConfig(b *testing.B) {","is_error":false}]},"uuid":"68e0acfa-faa5-48f9-85ee-7663f247c903","timestamp":"2026-06-18T08:05:47.327Z","toolUseResult":{"stdout":"DIR: /Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig\nconfig.go\nconfig_test.go\nREADME.md\ntestdata\n=== exported funcs ===\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:33:// and make it available via GetPackageConfig(\"sinks\").\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:55://\t rawConfig := ccconfig.GetPackageConfig(\"myapp\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:100:func Init(filename string) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:139:// GetPackageConfig retrieves the raw JSON configuration for a given key.\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:154://\trawConfig := ccconfig.GetPackageConfig(\"database\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:159:func GetPackageConfig(key string) json.RawMessage {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:175:func Reset() {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:192://\t config := ccconfig.GetPackageConfig(\"optional-feature\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:195:func HasKey(key string) bool {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go:213:func GetKeys() []string {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:23:func TestInit(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:32:\trawConfig := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:41:\trawConfig = GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:53:func TestInitAll(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:62:\trawConfig := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:71:\trawConfig = GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:82:// TestGetPackageConfigNonExistent tests retrieving a non-existent key\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:83:func TestGetPackageConfigNonExistent(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:88:\trawConfig := GetPackageConfig(\"nonexistent\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:95:func TestReset(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:110:\t// Verify GetPackageConfig returns nil after reset\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:111:\trawConfig := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:118:func TestResetAndReload(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:123:\trawConfig1 := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:131:\trawConfig2 := GetPackageConfig(\"main\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:147:func TestHasKey(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:167:func TestGetKeys(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:190:func TestGetKeysEmpty(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:201:func TestEmptyConfig(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:218:func TestConfigWithOnlyFileReferences(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:241:func TestNonexistentConfigFile(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:254:func TestMissingFileReference(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:269:\trawConfig := GetPackageConfig(\"missing\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:275:func TestMultipleInitCalls(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:299:func TestFileReferenceResolution(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:311:\tactualSinks := GetPackageConfig(\"sinks\")\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:324:func TestConfigKeyNames(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:347:func TestInvalidJSONHandling(t *testing.T) {\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:357:// BenchmarkGetPackageConfig benchmarks the config retrieval\n/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.12.0/ccConfig/config_test.go:358:func BenchmarkGetPackageConfig(b *testing.B) {","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"9fad2351-7e53-4051-9976-3d14d9280e4e","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"9eb0720c-c6fe-40af-af9f-408140cf321d","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"541fc3e9-14be-4901-8d89-a62f28e68b88","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Cii78hxcu44hAiEBH7mGUf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EtXcpBsMGkM9eLedYkKg3t","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== all GetPackageConfig keys used ===\"; grep -rn \"GetPackageConfig(\" --include=*.go . | grep -v _test.go | sed -E 's/.*GetPackageConfig\\((\"[^\"]+\"|[^)]+)\\).*/\\1/' | sort -u; echo \"=== raw call sites ===\"; grep -rn \"GetPackageConfig(\" --include=*.go . | grep -v _test.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":3680,"cache_read_input_tokens":109805,"output_tokens":400,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3680,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":400,"cache_read_input_tokens":109805,"cache_creation_input_tokens":3680,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3680},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcANzZn14Ny67AHf5972j","type":"assistant","uuid":"cba8f359-c6fd-409e-9b1e-d5176561f5d4","timestamp":"2026-06-18T08:05:54.407Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"cba8f359-c6fd-409e-9b1e-d5176561f5d4","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EtXcpBsMGkM9eLedYkKg3t","type":"tool_result","content":"=== all GetPackageConfig keys used ===\n(eval):1: no matches found: --include=*.go\n=== raw call sites ===\n(eval):1: no matches found: --include=*.go","is_error":false}]},"uuid":"04a185b9-cbeb-43f0-a830-8600a8d3a9eb","timestamp":"2026-06-18T08:05:54.492Z","toolUseResult":{"stdout":"=== all GetPackageConfig keys used ===\n(eval):1: no matches found: --include=*.go\n=== raw call sites ===\n(eval):1: no matches found: --include=*.go","stderr":"","interrupted":false,"isImage":false,"returnCodeInterpretation":"No matches found","noOutputExpected":false},"sourceToolAssistantUUID":"cba8f359-c6fd-409e-9b1e-d5176561f5d4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"a4a59a63-afe5-4a8b-b26d-f93bd146e08f","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018VKSJXoQzHk9z4rDZyVGGR","type":"tool_result","content":"cmd/cc-backend/main.go:94:\tcfg := ccconf.GetPackageConfig(\"main\")\ncmd/cc-backend/main.go:171:\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\ncmd/cc-backend/main.go:295:\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\ncmd/cc-backend/main.go:302:\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\ncmd/cc-backend/main.go:355:\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\ncmd/cc-backend/main.go:372:\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\ncmd/cc-backend/main.go:389:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:392:\tcfg := ccconf.GetPackageConfig(\"ui\")\ncmd/cc-backend/main.go:554:\t\tmscfg := ccconf.GetPackageConfig(\"metric-store\")","is_error":false}]},"uuid":"ec5b29eb-2927-469f-ac41-041cc7b47cbf","timestamp":"2026-06-18T08:06:02.217Z","toolUseResult":{"stdout":"cmd/cc-backend/main.go:94:\tcfg := ccconf.GetPackageConfig(\"main\")\ncmd/cc-backend/main.go:171:\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\ncmd/cc-backend/main.go:295:\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\ncmd/cc-backend/main.go:302:\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\ncmd/cc-backend/main.go:355:\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\ncmd/cc-backend/main.go:372:\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\ncmd/cc-backend/main.go:389:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:392:\tcfg := ccconf.GetPackageConfig(\"ui\")\ncmd/cc-backend/main.go:554:\t\tmscfg := ccconf.GetPackageConfig(\"metric-store\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a4a59a63-afe5-4a8b-b26d-f93bd146e08f","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"ec5b29eb-2927-469f-ac41-041cc7b47cbf","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Wa8WaUxGYG95MPCw1uzi9p","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":518,"cache_read_input_tokens":114081,"output_tokens":1271,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1271,"cache_read_input_tokens":114081,"cache_creation_input_tokens":518,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP1gcJ2YaqAVzjeErsR","type":"assistant","uuid":"c16dabd0-9fac-45dc-a85d-ea95eb4145d5","timestamp":"2026-06-18T08:06:10.490Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"c16dabd0-9fac-45dc-a85d-ea95eb4145d5","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Wa8WaUxGYG95MPCw1uzi9p","type":"message","role":"assistant","content":[{"type":"text","text":"I have everything needed. The known top-level config sections are: `main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`, `cron`, `ui`. Let me finalize the plan."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":518,"cache_read_input_tokens":114081,"output_tokens":1271,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1271,"cache_read_input_tokens":114081,"cache_creation_input_tokens":518,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP1gcJ2YaqAVzjeErsR","type":"assistant","uuid":"2d44d5d3-c453-491f-b955-1509e973faf2","timestamp":"2026-06-18T08:06:11.428Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"2d44d5d3-c453-491f-b955-1509e973faf2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01Wa8WaUxGYG95MPCw1uzi9p","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VsoPNLQhPsKpLS1C5jwTYp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","old_string":"### Optional safeguard (pending user choice)\nAdd a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in\n`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported\ninstead of silently ignored.","new_string":"### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":518,"cache_read_input_tokens":114081,"output_tokens":1271,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1271,"cache_read_input_tokens":114081,"cache_creation_input_tokens":518,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP1gcJ2YaqAVzjeErsR","type":"assistant","uuid":"e13dd419-4144-4a7c-ab4a-713a3f472255","timestamp":"2026-06-18T08:06:19.774Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"e13dd419-4144-4a7c-ab4a-713a3f472255","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VsoPNLQhPsKpLS1C5jwTYp","type":"tool_result","content":"The file /Users/jan/.claude/plans/logical-puzzling-ritchie.md has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"7e7a7d43-309e-4345-a8b6-793f72fabf1c","timestamp":"2026-06-18T08:06:19.809Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","oldString":"### Optional safeguard (pending user choice)\nAdd a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in\n`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported\ninstead of silently ignored.","newString":"### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.","originalFile":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Optional safeguard (pending user choice)\nAdd a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in\n`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported\ninstead of silently ignored.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","structuredPatch":[{"oldStart":71,"oldLines":11,"newStart":71,"newLines":30,"lines":[" "," No Go code change is required for the core fix."," ","-### Optional safeguard (pending user choice)","-Add a startup warning when unrecognized top-level keys appear in `config.json` (e.g. in","-`cmd/cc-backend/main.go initConfiguration`), so a misplaced section like this is reported","-instead of silently ignored.","+### Safeguard: warn on unknown top-level config sections"," ","+In `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,","+enumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known","+set, so a misplaced/typo'd section is reported instead of silently ignored:","+","+```go","+knownSections := map[string]bool{","+ \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,","+ \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,","+}","+for _, k := range ccconf.GetKeys() {","+ if !knownSections[k] {","+ cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)","+ }","+}","+```","+","+- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`","+ in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,","+ `cron`, `ui`).","+- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.","+- This is a warning only — it does not change behavior or fail startup.","+"," ## Verification"," 1. Restart `cc-backend` with the corrected config; confirm no startup warning/error."," 2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e13dd419-4144-4a7c-ab4a-713a3f472255","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"fe83d45b-fc7d-42fc-8c87-c36b88189d30","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01ELfbv6gV6nSSr5FRkupwDB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012wSPsnT7bNTKiDBwQ7UNMQ","name":"ExitPlanMode","input":{"plan":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","planFilePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":100654,"cache_read_input_tokens":16403,"output_tokens":31,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":100654,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":31,"cache_read_input_tokens":16403,"cache_creation_input_tokens":100654,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":100654},"type":"message"}],"speed":"standard"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":99438}}},"requestId":"req_011CcAP39MuDLyjUEcEXJ9rT","type":"assistant","uuid":"5d337527-3475-412e-b8f6-35e4692aa139","timestamp":"2026-06-18T08:06:24.890Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"8ad3ee4a-4b27-44ac-9516-2c83bae57ab9","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NpWu1cAqvA9eKrrJJDwP1p","type":"tool_result","content":"236\t target: \"rsp\",\n237\t })}\n238\t >\n239\t <CardTitle\n240\t style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n241\t >\n242\t <div>Resample Policy</div>\n243\t {#if displayMessage && message.target == \"rsp\"}\n244\t <div style=\"margin-left: auto; font-size: 0.9em;\">\n245\t <code style=\"color: {message.color};\" out:fade>\n246\t Update: {message.msg}\n247\t </code>\n248\t </div>\n249\t {/if}\n250\t </CardTitle>\n251\t <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n252\t <div class=\"mb-3\">\n253\t {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n254\t <div>\n255\t <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n256\t checked={(!config?.plotConfiguration_resamplePolicy && val === \"\") || config?.plotConfiguration_resamplePolicy === val} />\n257\t <label for=\"rsp-{val || 'default'}\">{label}</label>\n258\t </div>\n259\t {/each}\n260\t <div id=\"resamplePolicyHelp\" class=\"form-text\">\n261\t Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n262\t </div>\n263\t </div>\n264\t <Button color=\"primary\" type=\"submit\">Submit</Button>\n265\t </form>\n266\t </Card>\n267\t </Col>\n268\t\n269\t <!-- RESAMPLE ALGORITHM -->\n270\t <Col>\n271\t <Card class=\"h-100\">\n272\t <form\n273\t id=\"resample-algo-form\"\n274\t method=\"post\"\n275\t action=\"/frontend/configuration/\"\n276\t class=\"card-body\"\n277\t onsubmit={(e) => updateSetting(e, {\n278\t selector: \"#resample-algo-form\",\n279\t target: \"rsa\",\n280\t })}\n281\t >\n282\t <CardTitle\n283\t style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n284\t >\n285\t <div>Resample Algorithm</div>\n286\t {#if displayMessage && message.target == \"rsa\"}\n287\t <div style=\"margin-left: auto; font-size: 0.9em;\">\n288\t <code style=\"color: {message.color};\" out:fade>\n289\t Update: {message.msg}\n290\t </code>\n291\t </div>\n292\t {/if}\n293\t </CardTitle>\n294\t <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n295\t <div class=\"mb-3\">\n296\t {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n297\t <div>\n298\t <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n299\t checked={(!config?.plotConfiguration_resampleAlgo && val === \"\") || config?.plotConfiguration_resampleAlgo === val} />\n300\t <label for=\"rsa-{val || 'default'}\">{label}</label>\n301\t </div>\n302\t {/each}\n303\t <div id=\"resampleAlgoHelp\" class=\"form-text\">\n304\t Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n305\t </div>\n306\t </div>\n307\t <Button color=\"primary\" type=\"submit\">Submit</Button>\n308\t </form>\n309\t </Card>\n310\t </Col>"}]},"uuid":"433ed9f2-7750-4443-8aaf-1d73da803529","timestamp":"2026-06-18T08:07:11.594Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/config/user/PlotRenderOptions.svelte","content":" target: \"rsp\",\n })}\n >\n <CardTitle\n style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n >\n <div>Resample Policy</div>\n {#if displayMessage && message.target == \"rsp\"}\n <div style=\"margin-left: auto; font-size: 0.9em;\">\n <code style=\"color: {message.color};\" out:fade>\n Update: {message.msg}\n </code>\n </div>\n {/if}\n </CardTitle>\n <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resamplePolicy\" />\n <div class=\"mb-3\">\n {#each [[\"\", \"Default\"], [\"low\", \"Low\"], [\"medium\", \"Medium\"], [\"high\", \"High\"]] as [val, label]}\n <div>\n <input type=\"radio\" id=\"rsp-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n checked={(!config?.plotConfiguration_resamplePolicy && val === \"\") || config?.plotConfiguration_resamplePolicy === val} />\n <label for=\"rsp-{val || 'default'}\">{label}</label>\n </div>\n {/each}\n <div id=\"resamplePolicyHelp\" class=\"form-text\">\n Controls how many data points are shown in metric plots. Low = fast overview (~200 points), Medium = balanced (~500), High = maximum detail (~1000).\n </div>\n </div>\n <Button color=\"primary\" type=\"submit\">Submit</Button>\n </form>\n </Card>\n </Col>\n\n <!-- RESAMPLE ALGORITHM -->\n <Col>\n <Card class=\"h-100\">\n <form\n id=\"resample-algo-form\"\n method=\"post\"\n action=\"/frontend/configuration/\"\n class=\"card-body\"\n onsubmit={(e) => updateSetting(e, {\n selector: \"#resample-algo-form\",\n target: \"rsa\",\n })}\n >\n <CardTitle\n style=\"margin-bottom: 1em; display: flex; align-items: center;\"\n >\n <div>Resample Algorithm</div>\n {#if displayMessage && message.target == \"rsa\"}\n <div style=\"margin-left: auto; font-size: 0.9em;\">\n <code style=\"color: {message.color};\" out:fade>\n Update: {message.msg}\n </code>\n </div>\n {/if}\n </CardTitle>\n <input type=\"hidden\" name=\"key\" value=\"plotConfiguration_resampleAlgo\" />\n <div class=\"mb-3\">\n {#each [[\"\", \"Default\"], [\"lttb\", \"LTTB\"], [\"average\", \"Average\"], [\"simple\", \"Simple\"]] as [val, label]}\n <div>\n <input type=\"radio\" id=\"rsa-{val || 'default'}\" name=\"value\" value={JSON.stringify(val)}\n checked={(!config?.plotConfiguration_resampleAlgo && val === \"\") || config?.plotConfiguration_resampleAlgo === val} />\n <label for=\"rsa-{val || 'default'}\">{label}</label>\n </div>\n {/each}\n <div id=\"resampleAlgoHelp\" class=\"form-text\">\n Algorithm used when downsampling time-series data. LTTB preserves visual shape, Average smooths data, Simple picks every Nth point.\n </div>\n </div>\n <Button color=\"primary\" type=\"submit\">Submit</Button>\n </form>\n </Card>\n </Col>","numLines":75,"startLine":236,"totalLines":311}},"sourceToolAssistantUUID":"8ad3ee4a-4b27-44ac-9516-2c83bae57ab9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"a1384e14-4ed0-4be9-82e7-bbc2debb5ae4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01974CR5JrrAQk3Jxo1wCiXq","type":"message","role":"assistant","content":[{"type":"text","text":"Let me confirm `SetMinimumRequiredPoints` is called nowhere else in cc-backend (so the misplaced config is the only thing that would lower the 1000 default)."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2889,"cache_read_input_tokens":117187,"output_tokens":731,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2889,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":731,"cache_read_input_tokens":117187,"cache_creation_input_tokens":2889,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2889},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP6n2cxrTia3zLHP4Np","type":"assistant","uuid":"48b7e703-1932-44ba-8ca1-03eab3231dcd","timestamp":"2026-06-18T08:07:20.560Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"48b7e703-1932-44ba-8ca1-03eab3231dcd","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01974CR5JrrAQk3Jxo1wCiXq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018g7urDKxLYEfeJwJz4k4Fb","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== SetMinimumRequiredPoints call sites in cc-backend ===\"; grep -rn \"SetMinimumRequiredPoints\" cmd internal pkg 2>/dev/null; echo \"=== config.go:174-181 ===\"; sed -n '174,181p' internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2889,"cache_read_input_tokens":117187,"output_tokens":731,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2889,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":731,"cache_read_input_tokens":117187,"cache_creation_input_tokens":2889,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2889},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP6n2cxrTia3zLHP4Np","type":"assistant","uuid":"97800a31-83b6-45b5-8dac-1812c96109db","timestamp":"2026-06-18T08:07:22.235Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"97800a31-83b6-45b5-8dac-1812c96109db","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018g7urDKxLYEfeJwJz4k4Fb","type":"tool_result","content":"=== SetMinimumRequiredPoints call sites in cc-backend ===\ninternal/config/config.go:179:\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n=== config.go:174-181 ===\n\tif Keys.EnableResampling != nil {\n\t\tpolicy := Keys.EnableResampling.DefaultPolicy\n\t\tif policy == \"\" {\n\t\t\tpolicy = \"medium\"\n\t\t}\n\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n\t}\n}","is_error":false}]},"uuid":"c8600d3b-3e1c-4ed0-8acb-d53e191c658c","timestamp":"2026-06-18T08:07:22.330Z","toolUseResult":{"stdout":"=== SetMinimumRequiredPoints call sites in cc-backend ===\ninternal/config/config.go:179:\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n=== config.go:174-181 ===\n\tif Keys.EnableResampling != nil {\n\t\tpolicy := Keys.EnableResampling.DefaultPolicy\n\t\tif policy == \"\" {\n\t\t\tpolicy = \"medium\"\n\t\t}\n\t\tresampler.SetMinimumRequiredPoints(targetPointsForPolicy(policy))\n\t}\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"97800a31-83b6-45b5-8dac-1812c96109db","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"36eefe13-db33-4bcb-8d66-4806dd4b9c4b","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_011VpjhWTS1aW2mHV1ePL4nv","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":921,"cache_read_input_tokens":120076,"output_tokens":2631,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":921,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":2631,"cache_read_input_tokens":120076,"cache_creation_input_tokens":921,"cache_creation":{"ephe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{"parentUuid":"a0b54e67-4e69-4de6-9c18-e88274c1ec30","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_011VpjhWTS1aW2mHV1ePL4nv","type":"message","role":"assistant","content":[{"type":"text","text":"Confirmed. Here's the answer to your question.\n\n## Why the frontend setting also had no effect\n\nThe frontend path is **not** gated by `EnableResampling` — so your UI choices *do* reach the backend, but they get defeated by the same root cause at the last step:\n\n1. Setting **Resample Policy** and **Resample Algorithm** in the web UI saves user config keys `plotConfiguration_resamplePolicy` and `plotConfiguration_resampleAlgo` (`PlotRenderOptions.svelte:251,294`).\n\n2. In the `JobMetrics` resolver, `resolveResolutionFromPolicy` reads `plotConfiguration_resamplePolicy` directly (no `EnableResampling` guard, `internal/graph/schema.resolvers.go:509-511`). With policy `low` and job 409 (duration 56182s, timestep 60s) it computes `resolution = 300`. `resolveResampleAlgo` returns `average`. So `LoadData(..., resolution=300, \"average\")` is called correctly.\n\n3. `LoadData` calls `resampleFn(data[937], 60, 300)` → cc-lib `validateFrequency(937, 60, 300)`. The third gate is `lenData < MinimumRequiredPoints` (`resampler.go:142`). `MinimumRequiredPoints` is still the **cc-lib default of 1000** (`resampler.go:34`), and job 409's series have only **937 points**. So `937 < 1000` → it returns \"skip\" → the series is returned **unchanged**.\n\nThe threshold is only lowered by `resampler.SetMinimumRequiredPoints(...)`, which is called in exactly one place — `internal/config/config.go:179` — and **only** `if Keys.EnableResampling != nil`. Because your `resampling` block sits at the top level instead of inside `main`, `EnableResampling` is nil, so the threshold is never lowered.\n\n**So both paths fail for the same reason.** The config-file path fails twice over (resolution defaults to 0 *and* threshold stays 1000); the frontend path correctly produces `resolution=300, algo=average` but is then blocked because the 937-point series is below the un-lowered 1000-point threshold. Moving `resampling` under `main` fixes both: `SetMinimumRequiredPoints(200)` runs, 937 ≥ 200, and resampling proceeds (~187 points) — and your frontend policy/algorithm choices take effect.\n\nLet me record this in the plan."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":921,"cache_read_input_tokens":120076,"output_tokens":2631,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":921,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":2631,"cache_read_input_tokens":120076,"cache_creation_input_tokens":921,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":921},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP7aMvUD5FXJab8Ky6z","type":"assistant","uuid":"c522832d-f436-4bb9-a8a6-9bb18132ec5e","timestamp":"2026-06-18T08:07:47.660Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"c522832d-f436-4bb9-a8a6-9bb18132ec5e","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_011VpjhWTS1aW2mHV1ePL4nv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01362WapqeJSf6BwGLavC9nZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","old_string":"### Verification data for job 409","new_string":"### Why the web-frontend setting also had no effect\n\nThe frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`\nin `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver\n**without** an `EnableResampling` guard:\n- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and\n computes `resolution = 300` for job 409 with policy `low`.\n- `resolveResampleAlgo` returns the user's `average`.\n\nSo `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:\n`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no\nresampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**\n(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at\n`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due\nto the misplaced config. Net effect: frontend choices propagate but are blocked at the last\nstep. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling\nruns and frontend choices take effect.\n\n### Verification data for job 409"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":921,"cache_read_input_tokens":120076,"output_tokens":2631,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":921,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":2631,"cache_read_input_tokens":120076,"cache_creation_input_tokens":921,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":921},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP7aMvUD5FXJab8Ky6z","type":"assistant","uuid":"b3908845-184d-47ea-8eee-8f5e5a3335f2","timestamp":"2026-06-18T08:07:53.798Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"b3908845-184d-47ea-8eee-8f5e5a3335f2","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01362WapqeJSf6BwGLavC9nZ","type":"tool_result","content":"The file /Users/jan/.claude/plans/logical-puzzling-ritchie.md has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"7cdb7f53-c416-43c8-ae0f-680d6d19d613","timestamp":"2026-06-18T08:07:53.849Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md","oldString":"### Verification data for job 409","newString":"### Why the web-frontend setting also had no effect\n\nThe frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`\nin `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver\n**without** an `EnableResampling` guard:\n- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and\n computes `resolution = 300` for job 409 with policy `low`.\n- `resolveResampleAlgo` returns the user's `average`.\n\nSo `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:\n`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no\nresampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**\n(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at\n`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due\nto the misplaced config. Net effect: frontend choices propagate but are blocked at the last\nstep. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling\nruns and frontend choices take effect.\n\n### Verification data for job 409","originalFile":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","structuredPatch":[{"oldStart":42,"oldLines":6,"newStart":42,"newLines":24,"lines":[" resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is"," why changing the algorithm in the web frontend also had no effect."," ","+### Why the web-frontend setting also had no effect","+","+The frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`","+in `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver","+**without** an `EnableResampling` guard:","+- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and","+ computes `resolution = 300` for job 409 with policy `low`.","+- `resolveResampleAlgo` returns the user's `average`.","+","+So `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:","+`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no","+resampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**","+(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at","+`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due","+to the misplaced config. Net effect: frontend choices propagate but are blocked at the last","+step. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling","+runs and frontend choices take effect.","+"," ### Verification data for job 409"," - db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s."," - Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b3908845-184d-47ea-8eee-8f5e5a3335f2","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"7cdb7f53-c416-43c8-ae0f-680d6d19d613","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
{"type":"ai-title","aiTitle":"Analyze metric data resampling options","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"7cdb7f53-c416-43c8-ae0f-680d6d19d613","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01AAvvBs2xuPspeswUZkDnPq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P6jzZ3tiSoAemLBDCN9jnV","name":"ExitPlanMode","input":{"plan":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Why the web-frontend setting also had no effect\n\nThe frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`\nin `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver\n**without** an `EnableResampling` guard:\n- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and\n computes `resolution = 300` for job 409 with policy `low`.\n- `resolveResampleAlgo` returns the user's `average`.\n\nSo `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:\n`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no\nresampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**\n(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at\n`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due\nto the misplaced config. Net effect: frontend choices propagate but are blocked at the last\nstep. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling\nruns and frontend choices take effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","planFilePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2820,"cache_read_input_tokens":120997,"output_tokens":31,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2820,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":31,"cache_read_input_tokens":120997,"cache_creation_input_tokens":2820,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2820},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAP9twBDTwje3tcyb4ZG","type":"assistant","uuid":"14dd4f59-ef24-496c-896c-6d528273555b","timestamp":"2026-06-18T08:07:55.578Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"14dd4f59-ef24-496c-896c-6d528273555b","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has approved your plan. You can now start coding. Start with updating your todo list if applicable\n\nYour plan has been saved to: /Users/jan/.claude/plans/logical-puzzling-ritchie.md\nYou can refer back to it if needed during implementation.\n\n## Approved Plan:\n# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Why the web-frontend setting also had no effect\n\nThe frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`\nin `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver\n**without** an `EnableResampling` guard:\n- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and\n computes `resolution = 300` for job 409 with policy `low`.\n- `resolveResampleAlgo` returns the user's `average`.\n\nSo `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:\n`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no\nresampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**\n(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at\n`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due\nto the misplaced config. Net effect: frontend choices propagate but are blocked at the last\nstep. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling\nruns and frontend choices take effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","tool_use_id":"toolu_01P6jzZ3tiSoAemLBDCN9jnV"}]},"uuid":"cd572ad4-07c9-4c9d-aa6a-5c67bafc0ef5","timestamp":"2026-06-18T08:15:19.864Z","toolUseResult":{"plan":"# Fix: resampling has no effect (job 409 and other archived jobs)\n\n## Context\n\nThe user enabled resampling (`default-policy: low`, `default-algo: average`) and sees\nno visible change in metric plots for long/spiky jobs (tested with job db id 409), neither\nwhen configuring via `config.json` nor via the web frontend.\n\n### Root cause (confirmed)\n\nThe `resampling` block in the user's `config.json` is placed at the **top level**, as a\nsibling of `main`:\n\n```json\n{\n \"main\": { \"addr\": \"127.0.0.1:8080\" },\n ...\n \"resampling\": { \"default-policy\": \"low\", \"default-algo\": \"average\" } // WRONG LEVEL\n}\n```\n\nBut the resampling config is a field of the **main** section:\n- `internal/config/config.go:73` — `EnableResampling *ResampleConfig` has json tag `\"resampling\"` inside `ProgramConfig`.\n- `cmd/cc-backend/main.go:94,99` — `config.Init` is only given `ccconf.GetPackageConfig(\"main\")`.\n- The example config places it correctly under `main`: `configs/config.json:2` (`\"main\"`) → `:16` (`\"resampling\"`).\n\nBecause it sits at the top level, `ccconf.GetPackageConfig(\"main\")` never sees it, so\n`config.Keys.EnableResampling == nil`. Top-level unknown keys are silently ignored (no\nstartup error). This causes **two** compounding failures:\n\n1. **Default policy never applied.** In `internal/graph/schema.resolvers.go:512-519`\n (`JobMetrics`), the default-policy fallback is gated by `if config.Keys.EnableResampling != nil`.\n With it nil, an initial query (frontend now sends `resolution: null`) resolves to\n `resolution = 0` → no resampling.\n\n2. **`MinimumRequiredPoints` stays at the cc-lib default of 1000.**\n `internal/config/config.go:174-180` only calls `resampler.SetMinimumRequiredPoints(...)`\n when `EnableResampling != nil`. The cc-lib default is `1000`\n (`cc-lib/v2@v2.12.0/resampler/resampler.go:34`), and `validateFrequency` returns \"no\n resampling\" when `lenData < MinimumRequiredPoints` (`resampler.go:142`).\n Job 409's series have **937 points** (937 < 1000), so resampling is skipped **even if a\n resolution is supplied** (e.g. via frontend zoom or a per-user policy preference). This is\n why changing the algorithm in the web frontend also had no effect.\n\n### Why the web-frontend setting also had no effect\n\nThe frontend user settings (`plotConfiguration_resamplePolicy`, `plotConfiguration_resampleAlgo`\nin `web/frontend/src/config/user/PlotRenderOptions.svelte:251,294`) are read by the resolver\n**without** an `EnableResampling` guard:\n- `resolveResolutionFromPolicy` (`schema.resolvers.go:509-511`) reads the user's policy and\n computes `resolution = 300` for job 409 with policy `low`.\n- `resolveResampleAlgo` returns the user's `average`.\n\nSo `LoadData(..., resolution=300, \"average\")` is called correctly. But the resampler then skips:\n`validateFrequency(937, 60, 300)` hits `lenData(937) < MinimumRequiredPoints` and returns \"no\nresampling\" because `MinimumRequiredPoints` is still the cc-lib default **1000**\n(`resampler.go:34,142`). `resampler.SetMinimumRequiredPoints` is only called at\n`internal/config/config.go:179`, gated by `if Keys.EnableResampling != nil` — which is nil due\nto the misplaced config. Net effect: frontend choices propagate but are blocked at the last\nstep. Moving the config under `main` lowers the threshold to 200, so 937 ≥ 200 → resampling\nruns and frontend choices take effect.\n\n### Verification data for job 409\n- db id 409 → jobID 398864, cluster fritz, 1 node, completed, archived; duration ~56182s.\n- Archive `var/job-archive/fritz/398/864/1675955241/data.json.gz`: timestep 60s, **937 points**\n per series, `statisticsSeries` **not** stored (so it is computed on demand after resampling).\n- With config correctly under `main`: low policy → 200 target points → `ComputeResolution` = 300s,\n `SetMinimumRequiredPoints(200)`, 937 ≥ 200 → resample 937→~187 points with AVERAGE. Visible.\n\n## Fix\n\nMove the `resampling` object from the top level into the `main` section of the user's\n`/Users/jan/prg/ClusterCockpit/cc-backend/config.json`:\n\n```json\n{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": { ... },\n ...\n // (top-level \"resampling\" removed)\n}\n```\n\nNo Go code change is required for the core fix.\n\n### Safeguard: warn on unknown top-level config sections\n\nIn `cmd/cc-backend/main.go` `initConfiguration()`, right after `ccconf.Init(flagConfigFile)`,\nenumerate the present top-level keys via `ccconf.GetKeys()` and warn for any not in the known\nset, so a misplaced/typo'd section is reported instead of silently ignored:\n\n```go\nknownSections := map[string]bool{\n \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n}\nfor _, k := range ccconf.GetKeys() {\n if !knownSections[k] {\n cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n }\n}\n```\n\n- Known sections are exactly the keys cc-backend reads via `ccconf.GetPackageConfig(...)`\n in `main.go` (`main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`,\n `cron`, `ui`).\n- `cclog` is already imported in `main.go`; `ccconf.GetKeys()` returns the top-level keys.\n- This is a warning only — it does not change behavior or fail startup.\n\n## Verification\n1. Restart `cc-backend` with the corrected config; confirm no startup warning/error.\n2. Open job 409 in the web UI; node-scope metrics should now render ~187 points instead of 937.\n3. Switch `default-algo` between `average` and `lttb` (or via the web frontend user setting\n `plotConfiguration_resampleAlgo`) and confirm the curve shape changes for spiky metrics\n (AVERAGE smooths peaks; LTTB preserves them).\n","isAgent":false,"filePath":"/Users/jan/.claude/plans/logical-puzzling-ritchie.md"},"sourceToolAssistantUUID":"14dd4f59-ef24-496c-896c-6d528273555b","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"fb9ea95a-ad43-411b-a9a5-603d62593acf","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01QS2ziR2zvASWdeuvQHLE6m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Pc5bKF7wViF8FikTmobscK","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","old_string":" \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n },\n \"metric-store\": {","new_string":" \"metric-store\": {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":398,"cache_read_input_tokens":126308,"output_tokens":193,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":398,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":193,"cache_read_input_tokens":126308,"cache_creation_input_tokens":398,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":398},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPj4MPm8EbsFs7sd3UX","type":"assistant","uuid":"e883f9a6-80f5-4d14-a347-65718b8e216a","timestamp":"2026-06-18T08:15:27.414Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"e883f9a6-80f5-4d14-a347-65718b8e216a","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Pc5bKF7wViF8FikTmobscK","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/config.json has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"fbdf2585-87cf-413c-8fd1-6ded76157479","timestamp":"2026-06-18T08:15:27.462Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","oldString":" \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n },\n \"metric-store\": {","newString":" \"metric-store\": {","originalFile":"{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"3m\",\n \"footprint-worker\": \"5m\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"fritz\",\n \"url\": \"http://0.0.0.0:8082\",\n \"token\": \"REDACTED\"\n }\n ],\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n },\n \"metric-store\": {\n \"retention-in-memory\": \"24h\",\n \"memory-cap\": 100\n }\n}\n","structuredPatch":[{"oldStart":23,"oldLines":10,"newStart":23,"newLines":6,"lines":[" \"token\": \"REDACTED\""," }"," ],","- \"resampling\": {","- \"default-policy\": \"low\",","- \"default-algo\": \"average\"","- },"," \"metric-store\": {"," \"retention-in-memory\": \"24h\","," \"memory-cap\": 100"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e883f9a6-80f5-4d14-a347-65718b8e216a","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"fbdf2585-87cf-413c-8fd1-6ded76157479","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01H6EFQaAiT5nHCNCGyXKv2x","type":"message","role":"assistant","content":[{"type":"text","text":"Now the safeguard. Let me check the `ccconf` import alias and `GetKeys` signature in main.go:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":253,"cache_read_input_tokens":126706,"output_tokens":235,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":253,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":235,"cache_read_input_tokens":126706,"cache_creation_input_tokens":253,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":253},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPjL6gVBwdGCEu73WbR","type":"assistant","uuid":"70eea7c4-aba8-45cf-8ca3-d7fa2a3d99e4","timestamp":"2026-06-18T08:15:31.223Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"70eea7c4-aba8-45cf-8ca3-d7fa2a3d99e4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01H6EFQaAiT5nHCNCGyXKv2x","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VJJUnw1oXJRWRKLKuaUkB4","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; grep -n \"ccConfig\\|ccconf\\|cclog\\|ccLogger\" cmd/cc-backend/main.go | head; echo \"=== GetKeys signature ===\"; sed -n '213,225p' ~/go/pkg/mod/github.com/\\!cluster\\!cockpit/cc-lib/v2@v2.12.0/ccConfig/config.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":253,"cache_read_input_tokens":126706,"output_tokens":235,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":253,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":235,"cache_read_input_tokens":126706,"cache_creation_input_tokens":253,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":253},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPjL6gVBwdGCEu73WbR","type":"assistant","uuid":"1f1af77c-07a5-44db-ac3d-693ff963c5a9","timestamp":"2026-06-18T08:15:32.470Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"1f1af77c-07a5-44db-ac3d-693ff963c5a9","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VJJUnw1oXJRWRKLKuaUkB4","type":"tool_result","content":"35:\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n36:\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n92:\tccconf.Init(flagConfigFile)\n94:\tcfg := ccconf.GetPackageConfig(\"main\")\n137:\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n146:\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n155:\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n171:\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n175:\t\t\tcclog.Warn(\"Authentication enabled but no auth configuration found\")\n227:\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n=== GetKeys signature ===\nfunc GetKeys() []string {\n\tresult := make([]string, 0, len(keys))\n\tfor k := range keys {\n\t\tresult = append(result, k)\n\t}\n\treturn result\n}","is_error":false}]},"uuid":"5e0e089b-9acf-442e-afda-238adcc8f872","timestamp":"2026-06-18T08:15:32.543Z","toolUseResult":{"stdout":"35:\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n36:\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n92:\tccconf.Init(flagConfigFile)\n94:\tcfg := ccconf.GetPackageConfig(\"main\")\n137:\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n146:\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n155:\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n171:\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n175:\t\t\tcclog.Warn(\"Authentication enabled but no auth configuration found\")\n227:\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n=== GetKeys signature ===\nfunc GetKeys() []string {\n\tresult := make([]string, 0, len(keys))\n\tfor k := range keys {\n\t\tresult = append(result, k)\n\t}\n\treturn result\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1f1af77c-07a5-44db-ac3d-693ff963c5a9","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"type":"last-prompt","lastPrompt":"I do not see a difference in the frontend for long jobs with spiky metric data. It seems the average resampling has no effect. I tried to change resampling by config file and from the web frontend. Ca…","leafUuid":"5e0e089b-9acf-442e-afda-238adcc8f872","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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{"parentUuid":"5e0e089b-9acf-442e-afda-238adcc8f872","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_014PRWqoYFx1nWQK2GpvrwW9","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the safeguard in `initConfiguration`:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":645,"cache_read_input_tokens":126959,"output_tokens":569,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":645,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":569,"cache_read_input_tokens":126959,"cache_creation_input_tokens":645,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":645},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPji8zG6LvpJMw2P5mt","type":"assistant","uuid":"08904d32-1631-441b-b905-fac4b3d57fd2","timestamp":"2026-06-18T08:15:34.874Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"08904d32-1631-441b-b905-fac4b3d57fd2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_014PRWqoYFx1nWQK2GpvrwW9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jnf9HZbNMpUbuGJNRDTNHv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go","old_string":"func initConfiguration() error {\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}","new_string":"func initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\t// Warn about unrecognized top-level config sections. A common mistake is\n\t// nesting a setting at the wrong level (e.g. placing \"resampling\" next to\n\t// \"main\" instead of inside it), which is otherwise silently ignored.\n\tknownSections := map[string]bool{\n\t\t\"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n\t\t\"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n\t}\n\tfor _, k := range ccconf.GetKeys() {\n\t\tif !knownSections[k] {\n\t\t\tcclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n\t\t}\n\t}\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":645,"cache_read_input_tokens":126959,"output_tokens":569,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":645,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":569,"cache_read_input_tokens":126959,"cache_creation_input_tokens":645,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":645},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPji8zG6LvpJMw2P5mt","type":"assistant","uuid":"b211b9cf-8f02-4acf-86a9-76867bb3e0b4","timestamp":"2026-06-18T08:15:39.520Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"b211b9cf-8f02-4acf-86a9-76867bb3e0b4","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jnf9HZbNMpUbuGJNRDTNHv","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"673ae8a8-be70-440e-9139-1cf70cb5e992","timestamp":"2026-06-18T08:15:39.584Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go","oldString":"func initConfiguration() error {\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}","newString":"func initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\t// Warn about unrecognized top-level config sections. A common mistake is\n\t// nesting a setting at the wrong level (e.g. placing \"resampling\" next to\n\t// \"main\" instead of inside it), which is otherwise silently ignored.\n\tknownSections := map[string]bool{\n\t\t\"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,\n\t\t\"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,\n\t}\n\tfor _, k := range ccconf.GetKeys() {\n\t\tif !knownSections[k] {\n\t\t\tcclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)\n\t\t}\n\t}\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}","originalFile":null,"structuredPatch":[{"oldStart":91,"oldLines":6,"newStart":91,"newLines":19,"lines":[" func initConfiguration() error {"," ccconf.Init(flagConfigFile)"," ","+ // Warn about unrecognized top-level config sections. A common mistake is","+ // nesting a setting at the wrong level (e.g. placing \"resampling\" next to","+ // \"main\" instead of inside it), which is otherwise silently ignored.","+ knownSections := map[string]bool{","+ \"main\": true, \"auth\": true, \"nats\": true, \"archive\": true,","+ \"metric-store\": true, \"metric-store-external\": true, \"cron\": true, \"ui\": true,","+ }","+ for _, k := range ccconf.GetKeys() {","+ if !knownSections[k] {","+ cclog.Warnf(\"ignoring unrecognized top-level config section %q (check nesting in config file)\", k)","+ }","+ }","+"," cfg := ccconf.GetPackageConfig(\"main\")"," if cfg == nil {"," return fmt.Errorf(\"main configuration must be present\")"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b211b9cf-8f02-4acf-86a9-76867bb3e0b4","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"673ae8a8-be70-440e-9139-1cf70cb5e992","isSidechain":false,"attachment":{"type":"task_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"8cacd809-f84b-425b-aee2-a03bef6dadad","timestamp":"2026-06-18T08:15:39.618Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"8cacd809-f84b-425b-aee2-a03bef6dadad","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01THd4wuGUCDev84PQf3QDEK","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the config.json is valid JSON and the Go code compiles:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":639,"cache_read_input_tokens":127604,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":639,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":189,"cache_read_input_tokens":127604,"cache_creation_input_tokens":639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":639},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPkDzr77B1M3sxQgoeU","type":"assistant","uuid":"9200c1ca-59bb-47c8-ae42-02e37f5081b4","timestamp":"2026-06-18T08:15:41.411Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"9200c1ca-59bb-47c8-ae42-02e37f5081b4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01THd4wuGUCDev84PQf3QDEK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QtfCw4GvadsCos7Pj3p3bM","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; echo \"=== config.json validity ===\"; python3 -m json.tool config.json > /dev/null && echo \"valid JSON\"; echo \"=== go build cmd ===\"; go build ./cmd/cc-backend/ 2>&1 | head; echo \"exit: $?\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":639,"cache_read_input_tokens":127604,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":639,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":189,"cache_read_input_tokens":127604,"cache_creation_input_tokens":639,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":639},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPkDzr77B1M3sxQgoeU","type":"assistant","uuid":"845e7d8d-cc49-4c4b-b013-cb9a1afd0c16","timestamp":"2026-06-18T08:15:42.802Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"845e7d8d-cc49-4c4b-b013-cb9a1afd0c16","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QtfCw4GvadsCos7Pj3p3bM","type":"tool_result","content":"=== config.json validity ===\nvalid JSON\n=== go build cmd ===\nexit: 0","is_error":false}]},"uuid":"4d69ac79-3f31-4923-9c5d-c3e698add69a","timestamp":"2026-06-18T08:15:51.838Z","toolUseResult":{"stdout":"=== config.json validity ===\nvalid JSON\n=== go build cmd ===\nexit: 0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"845e7d8d-cc49-4c4b-b013-cb9a1afd0c16","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"4d69ac79-3f31-4923-9c5d-c3e698add69a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01DjhPXS2XznWKgwVdvXsXqh","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Ep4CCmMIDhgCKkANdWgg8uje4gYL6Ac6hoW3icl7NuRS8zzOFwDH3LV/qN2fmcG4ujJchKK6WAUwAy+4h4e0//Ra0T9wa53AsSD8Mg9jbGF1ZGUtb3B1cy00LTg4AEIIdGhpbmtpbmcSDMaPdsKXN9x5zoegQBoMHm+unKBPcf11H/JqIjDo6MK+36lILPzToNUGjh4+x+2Fh2gGXoYM84BKJFIi/1QARwqJutRfnOfoQco8sNMqabESNZKXZwQSuGQzsz+ugU2hHMIzydfJLRv/6QJ3knOEiTadj4eUBmqw6d8NZsSZ9Rt+cQVLA2W1i/ohv+FYjGfoziw9Ao4Y4bA79kIhM0Sq5W9ZLTcAphtWDw6yYkH7EpSU8RX84yEsVxgB"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":354,"cache_read_input_tokens":128243,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":354,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":133,"cache_read_input_tokens":128243,"cache_creation_input_tokens":354,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":354},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPm8uHuBcM66QzFgTAE","type":"assistant","uuid":"93ce0495-c585-4145-a67f-6dcc93c02f6b","timestamp":"2026-06-18T08:15:54.194Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"93ce0495-c585-4145-a67f-6dcc93c02f6b","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01DjhPXS2XznWKgwVdvXsXqh","type":"message","role":"assistant","content":[{"type":"text","text":"Both build cleanly and the config is valid JSON. Let me confirm the final config structure:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":354,"cache_read_input_tokens":128243,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":354,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":133,"cache_read_input_tokens":128243,"cache_creation_input_tokens":354,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":354},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPm8uHuBcM66QzFgTAE","type":"assistant","uuid":"ce485ef0-3496-4291-9d95-03f1a641ce46","timestamp":"2026-06-18T08:15:54.941Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"ce485ef0-3496-4291-9d95-03f1a641ce46","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01DjhPXS2XznWKgwVdvXsXqh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VnCq9pX1PryoEjVa4nVqE2","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":354,"cache_read_input_tokens":128243,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":354,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":133,"cache_read_input_tokens":128243,"cache_creation_input_tokens":354,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":354},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPm8uHuBcM66QzFgTAE","type":"assistant","uuid":"5e08aad5-ff6f-4c70-9ace-3ee2e7b1579d","timestamp":"2026-06-18T08:15:55.026Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"5e08aad5-ff6f-4c70-9ace-3ee2e7b1579d","isSidechain":false,"promptId":"52caed4f-2ca0-4eb4-a4c9-87b442dfbafa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VnCq9pX1PryoEjVa4nVqE2","type":"tool_result","content":"1\t{\n2\t \"main\": {\n3\t \"addr\": \"127.0.0.1:8080\",\n4\t \"resampling\": {\n5\t \"default-policy\": \"low\",\n6\t \"default-algo\": \"average\"\n7\t }\n8\t },\n9\t \"cron\": {\n10\t \"commit-job-worker\": \"1m\",\n11\t \"duration-worker\": \"3m\",\n12\t \"footprint-worker\": \"5m\"\n13\t },\n14\t \"auth\": {\n15\t \"jwts\": {\n16\t \"max-age\": \"2000h\"\n17\t }\n18\t },\n19\t \"metric-store-external\": [\n20\t {\n21\t \"scope\": \"fritz\",\n22\t \"url\": \"http://0.0.0.0:8082\",\n23\t \"token\": \"REDACTED\"\n24\t }\n25\t ],\n26\t \"metric-store\": {\n27\t \"retention-in-memory\": \"24h\",\n28\t \"memory-cap\": 100\n29\t }\n30\t}\n31\t"}]},"uuid":"b3445744-3fc7-42f9-b49a-88a89d11a36a","timestamp":"2026-06-18T08:15:55.051Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/config.json","content":"{\n \"main\": {\n \"addr\": \"127.0.0.1:8080\",\n \"resampling\": {\n \"default-policy\": \"low\",\n \"default-algo\": \"average\"\n }\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"3m\",\n \"footprint-worker\": \"5m\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"fritz\",\n \"url\": \"http://0.0.0.0:8082\",\n \"token\": \"REDACTED\"\n }\n ],\n \"metric-store\": {\n \"retention-in-memory\": \"24h\",\n \"memory-cap\": 100\n }\n}\n","numLines":31,"startLine":1,"totalLines":31}},"sourceToolAssistantUUID":"5e08aad5-ff6f-4c70-9ace-3ee2e7b1579d","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"b3445744-3fc7-42f9-b49a-88a89d11a36a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01JTHK8DqJoT6RybwKEyxku5","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Both changes are in place and verified.\n\n## Summary\n\n**Root cause:** Your `resampling` block was at the **top level** of `config.json`, but it's a field of the `main` section (`ProgramConfig.EnableResampling`, json `\"resampling\"`, read only from `ccconf.GetPackageConfig(\"main\")`). So it was silently ignored, leaving `config.Keys.EnableResampling == nil`. That broke resampling two ways:\n1. The default-policy fallback in the `JobMetrics` resolver is gated on `EnableResampling != nil` → initial resolution stayed `0`.\n2. `resampler.SetMinimumRequiredPoints(...)` (the only call site, `config.go:179`) is also gated on it → the cc-lib threshold stayed at its default **1000**. Job 409's series have **937 points** (< 1000), so the resampler skipped downsampling **even when** the frontend correctly computed `resolution=300, algo=average`. That's why the web-frontend setting also had no effect.\n\n**Changes made:**\n1. **`config.json`** — moved the `resampling` block inside `main`. Now `SetMinimumRequiredPoints(200)` runs (from `default-policy: low`), 937 ≥ 200, and resampling proceeds (~187 points). Frontend policy/algorithm choices now take effect too.\n2. **`cmd/cc-backend/main.go`** — added a startup warning in `initConfiguration()` that flags any unrecognized top-level config section (against the known set: `main`, `auth`, `nats`, `archive`, `metric-store`, `metric-store-external`, `cron`, `ui`), so this misnesting footgun surfaces instead of being silently ignored.\n\nBoth compile; `config.json` is valid JSON.\n\n**To verify end-to-end:** restart `cc-backend`, open job 409 — node-scope metrics should render ~187 points instead of 937, and switching `default-algo` between `average` and `lttb` should visibly change spiky curves (average smooths peaks, LTTB preserves them).\n\nOne note: the earlier Svelte frontend fixes from the previous task plus this `main.go` change mean you'll want to rebuild (`make` / `make frontend`) before testing. Want me to run the build?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":656,"cache_read_input_tokens":128597,"output_tokens":757,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":656,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":757,"cache_read_input_tokens":128597,"cache_creation_input_tokens":656,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":656},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAPmNx8wb9UTWR3tfqku","type":"assistant","uuid":"800325d7-985b-44e8-afa8-b5d7d4f93fb9","timestamp":"2026-06-18T08:16:05.866Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"e6b94102-f0d2-4671-90b1-08290ad25efb","isSidechain":false,"type":"system","subtype":"away_summary","content":"Goal: make metric resampling actually take effect in the frontend. Fixed the misplaced `resampling` config and added a startup warning; both build cleanly. Next: rebuild with `make`, then restart cc-backend and verify job 409 resamples. (disable recaps in /config)","timestamp":"2026-06-18T08:26:33.650Z","uuid":"c2dcffce-3d90-47db-8b77-b479fa6d7063","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
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{"parentUuid":"fd0caa63-f8ff-4a31-8657-5636e9325f75","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_013DudvYHUWU5rW137WpK2ZV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ck36SejfoGM3R5BuyoJRRz","name":"Bash","input":{"command":"cd /Users/jan/prg/ClusterCockpit/cc-backend; git diff go.mod; echo \"=== are build artifacts tracked? ===\"; git check-ignore web/frontend/public/build/jobs.js 2>&1 || echo \"NOT ignored\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":457,"cache_read_input_tokens":130055,"output_tokens":591,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":457,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":591,"cache_read_input_tokens":130055,"cache_creation_input_tokens":457,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":457},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcAQhzDwHkPcNZdK4pa41","type":"assistant","uuid":"28c2b194-c5ce-4094-9694-67f1dbdee8bf","timestamp":"2026-06-18T08:28:24.510Z","userType":"external","entrypoint":"cli","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897","version":"2.1.181","gitBranch":"feature/526-average-resample","slug":"logical-puzzling-ritchie"}
{"parentUuid":"28c2b194-c5ce-4094-9694-67f1dbdee8bf","isSidechain":false,"promptId":"d66b2988-c7d4-4954-bbfd-68cd8ae60079","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ck36SejfoGM3R5BuyoJRRz","type":"tool_result","content":"diff --git a/go.mod b/go.mod\nindex b3dc1a12..057f2d73 100644\n--- a/go.mod\n+++ b/go.mod\n@@ -8,17 +8,17 @@ tool (\n )\n \n require (\n-\tgithub.com/99designs/gqlgen v0.17.90\n+\tgithub.com/99designs/gqlgen v0.17.91\n \tgithub.com/ClusterCockpit/cc-lib/v2 v2.12.0\n \tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n \tgithub.com/Masterminds/squirrel v1.5.4\n \tgithub.com/alexedwards/scs/sqlite3store v0.0.0-20251002162104-209de6e426de\n \tgithub.com/alexedwards/scs/v2 v2.9.0\n-\tgithub.com/aws/aws-sdk-go-v2 v1.41.7\n-\tgithub.com/aws/aws-sdk-go-v2/config v1.32.18\n-\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.17\n-\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.102.0\n-\tgithub.com/coreos/go-oidc/v3 v3.18.0\n+\tgithub.com/aws/aws-sdk-go-v2 v1.42.0\n+\tgithub.com/aws/aws-sdk-go-v2/config v1.32.25\n+\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.24\n+\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.104.0\n+\tgithub.com/coreos/go-oidc/v3 v3.19.0\n \tgithub.com/expr-lang/expr v1.17.8\n \tgithub.com/go-chi/chi/v5 v5.3.0\n \tgithub.com/go-chi/cors v1.2.2\n@@ -28,17 +28,17 @@ require (\n \tgithub.com/golang-migrate/migrate/v4 v4.19.1\n \tgithub.com/google/gops v0.3.29\n \tgithub.com/jmoiron/sqlx v1.4.0\n-\tgithub.com/mattn/go-sqlite3 v1.14.44\n+\tgithub.com/mattn/go-sqlite3 v1.14.46\n \tgithub.com/parquet-go/parquet-go v0.30.1\n \tgithub.com/qustavo/sqlhooks/v2 v2.1.0\n \tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n \tgithub.com/stretchr/testify v1.11.1\n \tgithub.com/swaggo/http-swagger v1.3.4\n \tgithub.com/swaggo/swag v1.16.6\n-\tgithub.com/vektah/gqlparser/v2 v2.5.33\n-\tgolang.org/x/crypto v0.52.0\n+\tgithub.com/vektah/gqlparser/v2 v2.5.34\n+\tgolang.org/x/crypto v0.53.0\n \tgolang.org/x/oauth2 v0.36.0\n-\tgolang.org/x/sync v0.20.0\n+\tgolang.org/x/sync v0.21.0\n \tgolang.org/x/time v0.15.0\n )\n \n@@ -48,35 +48,36 @@ require (\n \tgithub.com/agnivade/levenshtein v1.2.1 // indirect\n \tgithub.com/andybalholm/brotli v1.2.1 // indirect\n \tgithub.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.10 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.24 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.9 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.16 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.11 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.17 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.36.0 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.42.1 // indirect\n-\tgithub.com/aws/smithy-go v1.26.0 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.13 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.30 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.12 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.22 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.2.0 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.31.3 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.36.6 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.43.3 // indirect\n+\tgithub.com/aws/smithy-go v1.27.2 // indirect\n+\tgithub.com/coder/websocket v1.8.15 // indirect\n \tgithub.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect\n \tgithub.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect\n \tgithub.com/fsnotify/fsnotify v1.10.1 // indirect\n \tgithub.com/go-asn1-ber/asn1-ber v1.5.8-0.20250403174932-29230038a667 // indirect\n \tgithub.com/go-jose/go-jose/v4 v4.1.4 // indirect\n \tgithub.com/go-openapi/jsonpointer v0.23.1 // indirect\n-\tgithub.com/go-openapi/jsonreference v0.21.5 // indirect\n-\tgithub.com/go-openapi/spec v0.22.4 // indirect\n-\tgithub.com/go-openapi/swag/conv v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/jsonname v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/jsonutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/loading v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/stringutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/typeutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/yamlutils v0.26.0 // indirect\n+\tgithub.com/go-openapi/jsonreference v0.21.6 // indirect\n+\tgithub.com/go-openapi/spec v0.22.6 // indirect\n+\tgithub.com/go-openapi/swag/conv v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/jsonname v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/jsonutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/loading v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/stringutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/typeutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/yamlutils v0.26.1 // indirect\n \tgithub.com/go-viper/mapstructure/v2 v2.5.0 // indirect\n \tgithub.com/goccy/go-yaml v1.19.2 // indirect\n \tgithub.com/google/uuid v1.6.0 // indirect\n@@ -90,12 +91,12 @@ require (\n \tgithub.com/lann/builder v0.0.0-20180802200727-47ae307949d0 // indirect\n \tgithub.com/lann/ps v0.0.0-20150810152359-62de8c46ede0 // indirect\n \tgithub.com/nats-io/nats.go v1.52.0 // indirect\n-\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n+\tgithub.com/nats-io/nkeys v0.4.16 // indirect\n \tgithub.com/nats-io/nuid v1.0.1 // indirect\n \tgithub.com/oapi-codegen/runtime v1.4.1 // indirect\n \tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n \tgithub.com/parquet-go/jsonlite v1.5.2 // indirect\n-\tgithub.com/pierrec/lz4/v4 v4.1.26 // indirect\n+\tgithub.com/pierrec/lz4/v4 v4.1.27 // indirect\n \tgithub.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect\n \tgithub.com/robfig/cron/v3 v3.0.1 // indirect\n \tgithub.com/rogpeppe/go-internal v1.10.0 // indirect\n@@ -106,15 +107,15 @@ require (\n \tgithub.com/swaggo/files v1.0.1 // indirect\n \tgithub.com/twpayne/go-geom v1.6.1 // indirect\n \tgithub.com/urfave/cli/v2 v2.27.7 // indirect\n-\tgithub.com/urfave/cli/v3 v3.8.0 // indirect\n+\tgithub.com/urfave/cli/v3 v3.9.0 // indirect\n \tgithub.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect\n \tgo.yaml.in/yaml/v2 v2.4.4 // indirect\n \tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n-\tgolang.org/x/mod v0.36.0 // indirect\n-\tgolang.org/x/net v0.55.0 // indirect\n-\tgolang.org/x/sys v0.45.0 // indirect\n-\tgolang.org/x/text v0.37.0 // indirect\n-\tgolang.org/x/tools v0.45.0 // indirect\n+\tgolang.org/x/mod v0.37.0 // indirect\n+\tgolang.org/x/net v0.56.0 // indirect\n+\tgolang.org/x/sys v0.46.0 // indirect\n+\tgolang.org/x/text v0.38.0 // indirect\n+\tgolang.org/x/tools v0.46.0 // indirect\n \tgoogle.golang.org/protobuf v1.36.11 // indirect\n \tgopkg.in/yaml.v3 v3.0.1 // indirect\n \tsigs.k8s.io/yaml v1.6.0 // indirect\n=== are build artifacts tracked? ===\nweb/frontend/public/build/jobs.js","is_error":false}]},"uuid":"f35d0e46-08fc-4275-9f55-1e0960ccfd61","timestamp":"2026-06-18T08:28:24.581Z","toolUseResult":{"stdout":"diff --git a/go.mod b/go.mod\nindex b3dc1a12..057f2d73 100644\n--- a/go.mod\n+++ b/go.mod\n@@ -8,17 +8,17 @@ tool (\n )\n \n require (\n-\tgithub.com/99designs/gqlgen v0.17.90\n+\tgithub.com/99designs/gqlgen v0.17.91\n \tgithub.com/ClusterCockpit/cc-lib/v2 v2.12.0\n \tgithub.com/ClusterCockpit/cc-line-protocol/v2 v2.4.0\n \tgithub.com/Masterminds/squirrel v1.5.4\n \tgithub.com/alexedwards/scs/sqlite3store v0.0.0-20251002162104-209de6e426de\n \tgithub.com/alexedwards/scs/v2 v2.9.0\n-\tgithub.com/aws/aws-sdk-go-v2 v1.41.7\n-\tgithub.com/aws/aws-sdk-go-v2/config v1.32.18\n-\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.17\n-\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.102.0\n-\tgithub.com/coreos/go-oidc/v3 v3.18.0\n+\tgithub.com/aws/aws-sdk-go-v2 v1.42.0\n+\tgithub.com/aws/aws-sdk-go-v2/config v1.32.25\n+\tgithub.com/aws/aws-sdk-go-v2/credentials v1.19.24\n+\tgithub.com/aws/aws-sdk-go-v2/service/s3 v1.104.0\n+\tgithub.com/coreos/go-oidc/v3 v3.19.0\n \tgithub.com/expr-lang/expr v1.17.8\n \tgithub.com/go-chi/chi/v5 v5.3.0\n \tgithub.com/go-chi/cors v1.2.2\n@@ -28,17 +28,17 @@ require (\n \tgithub.com/golang-migrate/migrate/v4 v4.19.1\n \tgithub.com/google/gops v0.3.29\n \tgithub.com/jmoiron/sqlx v1.4.0\n-\tgithub.com/mattn/go-sqlite3 v1.14.44\n+\tgithub.com/mattn/go-sqlite3 v1.14.46\n \tgithub.com/parquet-go/parquet-go v0.30.1\n \tgithub.com/qustavo/sqlhooks/v2 v2.1.0\n \tgithub.com/santhosh-tekuri/jsonschema/v5 v5.3.1\n \tgithub.com/stretchr/testify v1.11.1\n \tgithub.com/swaggo/http-swagger v1.3.4\n \tgithub.com/swaggo/swag v1.16.6\n-\tgithub.com/vektah/gqlparser/v2 v2.5.33\n-\tgolang.org/x/crypto v0.52.0\n+\tgithub.com/vektah/gqlparser/v2 v2.5.34\n+\tgolang.org/x/crypto v0.53.0\n \tgolang.org/x/oauth2 v0.36.0\n-\tgolang.org/x/sync v0.20.0\n+\tgolang.org/x/sync v0.21.0\n \tgolang.org/x/time v0.15.0\n )\n \n@@ -48,35 +48,36 @@ require (\n \tgithub.com/agnivade/levenshtein v1.2.1 // indirect\n \tgithub.com/andybalholm/brotli v1.2.1 // indirect\n \tgithub.com/apapsch/go-jsonmerge/v2 v2.0.0 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.10 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.24 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.9 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.16 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.23 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.0.11 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.30.17 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.36.0 // indirect\n-\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.42.1 // indirect\n-\tgithub.com/aws/smithy-go v1.26.0 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.13 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/configsources v1.4.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/internal/v4a v1.4.30 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.12 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.22 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.29 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/signin v1.2.0 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/sso v1.31.3 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/ssooidc v1.36.6 // indirect\n+\tgithub.com/aws/aws-sdk-go-v2/service/sts v1.43.3 // indirect\n+\tgithub.com/aws/smithy-go v1.27.2 // indirect\n+\tgithub.com/coder/websocket v1.8.15 // indirect\n \tgithub.com/cpuguy83/go-md2man/v2 v2.0.7 // indirect\n \tgithub.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect\n \tgithub.com/fsnotify/fsnotify v1.10.1 // indirect\n \tgithub.com/go-asn1-ber/asn1-ber v1.5.8-0.20250403174932-29230038a667 // indirect\n \tgithub.com/go-jose/go-jose/v4 v4.1.4 // indirect\n \tgithub.com/go-openapi/jsonpointer v0.23.1 // indirect\n-\tgithub.com/go-openapi/jsonreference v0.21.5 // indirect\n-\tgithub.com/go-openapi/spec v0.22.4 // indirect\n-\tgithub.com/go-openapi/swag/conv v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/jsonname v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/jsonutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/loading v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/stringutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/typeutils v0.26.0 // indirect\n-\tgithub.com/go-openapi/swag/yamlutils v0.26.0 // indirect\n+\tgithub.com/go-openapi/jsonreference v0.21.6 // indirect\n+\tgithub.com/go-openapi/spec v0.22.6 // indirect\n+\tgithub.com/go-openapi/swag/conv v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/jsonname v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/jsonutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/loading v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/stringutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/typeutils v0.26.1 // indirect\n+\tgithub.com/go-openapi/swag/yamlutils v0.26.1 // indirect\n \tgithub.com/go-viper/mapstructure/v2 v2.5.0 // indirect\n \tgithub.com/goccy/go-yaml v1.19.2 // indirect\n \tgithub.com/google/uuid v1.6.0 // indirect\n@@ -90,12 +91,12 @@ require (\n \tgithub.com/lann/builder v0.0.0-20180802200727-47ae307949d0 // indirect\n \tgithub.com/lann/ps v0.0.0-20150810152359-62de8c46ede0 // indirect\n \tgithub.com/nats-io/nats.go v1.52.0 // indirect\n-\tgithub.com/nats-io/nkeys v0.4.15 // indirect\n+\tgithub.com/nats-io/nkeys v0.4.16 // indirect\n \tgithub.com/nats-io/nuid v1.0.1 // indirect\n \tgithub.com/oapi-codegen/runtime v1.4.1 // indirect\n \tgithub.com/parquet-go/bitpack v1.0.0 // indirect\n \tgithub.com/parquet-go/jsonlite v1.5.2 // indirect\n-\tgithub.com/pierrec/lz4/v4 v4.1.26 // indirect\n+\tgithub.com/pierrec/lz4/v4 v4.1.27 // indirect\n \tgithub.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect\n \tgithub.com/robfig/cron/v3 v3.0.1 // indirect\n \tgithub.com/rogpeppe/go-internal v1.10.0 // indirect\n@@ -106,15 +107,15 @@ require (\n \tgithub.com/swaggo/files v1.0.1 // indirect\n \tgithub.com/twpayne/go-geom v1.6.1 // indirect\n \tgithub.com/urfave/cli/v2 v2.27.7 // indirect\n-\tgithub.com/urfave/cli/v3 v3.8.0 // indirect\n+\tgithub.com/urfave/cli/v3 v3.9.0 // indirect\n \tgithub.com/xrash/smetrics v0.0.0-20250705151800-55b8f293f342 // indirect\n \tgo.yaml.in/yaml/v2 v2.4.4 // indirect\n \tgo.yaml.in/yaml/v3 v3.0.4 // indirect\n-\tgolang.org/x/mod v0.36.0 // indirect\n-\tgolang.org/x/net v0.55.0 // indirect\n-\tgolang.org/x/sys v0.45.0 // indirect\n-\tgolang.org/x/text v0.37.0 // indirect\n-\tgolang.org/x/tools v0.45.0 // indirect\n+\tgolang.org/x/mod v0.37.0 // indirect\n+\tgolang.org/x/net v0.56.0 // indirect\n+\tgolang.org/x/sys v0.46.0 // indirect\n+\tgolang.org/x/text v0.38.0 // indirect\n+\tgolang.org/x/tools v0.46.0 // indirect\n \tgoogle.golang.org/protobuf v1.36.11 // indirect\n \tgopkg.in/yaml.v3 v3.0.1 // indirect\n \tsigs.k8s.io/yaml v1.6.0 // indirect\n=== are build artifacts tracked? 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{"type":"last-prompt","lastPrompt":"Commit the changes in 3 commits: One with the toplevel config warning, one with the frontend fixes, and one about the dependency updates","leafUuid":"f35d0e46-08fc-4275-9f55-1e0960ccfd61","sessionId":"73cc565e-9a24-445c-bc6b-6bb813087897"}
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