chore(dashboard): size the runs-by-conclusion bars to the time range

README.md

@@ -152,7 +152,7 @@ images to GHCR with SLSA provenance attestation on push to `main`/tags.
 - runners online, offline and busy, with per-runner state timelines;
 - both exporter polls' health, so a stale cache is visible;
 - CI health per repo and workflow, open PRs, Dependabot alerts by severity, and the API rate limit;
-- CI history: average and p95 run time per job, queue time per runner pool and per runner, and runs per day by conclusion.
+- CI history: average and p95 run time per job, queue time per runner pool and per runner, and workflow runs by conclusion.
 
 Import it in Grafana (Dashboards → New → Import) and pick your Prometheus data source.
 

dashboards/github-actions-runner-exporter.json

@@ -8,7 +8,7 @@
     "prometheus"
   ],
   "schemaVersion": 39,
-  "version": 4,
+  "version": 5,
   "editable": true,
   "time": {
     "from": "now-24h",
@@ -1311,8 +1311,8 @@
     },
     {
       "id": 24,
-      "title": "Workflow runs per day by conclusion",
-      "description": "Completed workflow runs per day (each re-run attempt counts once).",
+      "title": "Workflow runs by conclusion",
+      "description": "Completed workflow runs per bar (each re-run attempt counts once). Bar width follows the time range, about 30 bars: hourly on 24h, ~6h on 7d, daily on 30d.",
       "type": "timeseries",
       "gridPos": {
         "x": 0,
@@ -1473,14 +1473,15 @@
       },
       "targets": [
         {
-          "expr": "sum by (conclusion) (increase(github_workflow_runs_total{repo=~\"$repo\"}[1d]))",
+          "expr": "sum by (conclusion) (increase(github_workflow_runs_total{repo=~\"$repo\"}[$__interval]))",
           "legendFormat": "{{conclusion}}",
           "refId": "A",
-          "interval": "1d",
           "range": true,
           "instant": false
         }
-      ]
+      ],
+      "interval": "1h",
+      "maxDataPoints": 30
     }
   ]
 }