feat: initial release of headlamp-intel-gpu-plugin v0.1.0

Adds a Headlamp plugin for Intel GPU device plugin visibility: - Dedicated sidebar section: Overview, Device Plugins, GPU Nodes, GPU Pods - Native Node detail page injection: GPU capacity, allocatable, utilization, active pods - Native Pod detail page injection: per-container GPU resource requests/limits - Native Nodes table: GPU Type and GPU Devices columns - App bar health badge (hidden when plugin not installed) - GpuDevicePlugin CRD monitoring (deviceplugin.intel.com/v1) with graceful degradation when CRD is not present - Supports discrete (i915), Xe, and integrated GPU nodes via node labels - 48 unit tests, TypeScript clean, 28 kB production bundle Generated with [Claude Code](https://claude.ai/code) via [Happy](https://happy.engineering) Co-Authored-By: Claude <noreply@anthropic.com> Co-Authored-By: Happy <yesreply@happy.engineering>
2026-02-18 17:58:49 -05:00
commit 41bf2aead4
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+/**
+ * NodeColumns — adds Intel GPU columns to the native Headlamp Nodes table.
+ *
+ * Injects two columns:
+ *   - "GPU Type" — Discrete / Integrated / — for non-GPU nodes
+ *   - "GPU Devices" — count of i915/xe devices available on the node
+ *
+ * The processor is registered via registerResourceTableColumnsProcessor
+ * in index.tsx, targeting the 'headlamp-nodes' table ID.
+ */
+
+import { StatusLabel } from '@kinvolk/headlamp-plugin/lib/CommonComponents';
+import React from 'react';
+import {
+  formatGpuType,
+  getNodeGpuCount,
+  getNodeGpuType,
+  isIntelGpuNode,
+} from '../../api/k8s';
+
+/** Build GPU columns to append to the native Nodes table. */
+export function buildNodeGpuColumns() {
+  return [
+    {
+      label: 'GPU Type',
+      getter: (resource: unknown) => {
+        // resource is a Headlamp KubeObject — extract jsonData
+        const raw =
+          resource && typeof resource === 'object' && 'jsonData' in resource
+            ? (resource as { jsonData: unknown }).jsonData
+            : resource;
+
+        if (!isIntelGpuNode(raw)) return '—';
+        const node = raw as Parameters<typeof getNodeGpuType>[0];
+        const type = getNodeGpuType(node);
+        return (
+          <StatusLabel status="success">
+            {formatGpuType(type)}
+          </StatusLabel>
+        );
+      },
+    },
+    {
+      label: 'GPU Devices',
+      getter: (resource: unknown) => {
+        const raw =
+          resource && typeof resource === 'object' && 'jsonData' in resource
+            ? (resource as { jsonData: unknown }).jsonData
+            : resource;
+
+        if (!isIntelGpuNode(raw)) return '—';
+        const node = raw as Parameters<typeof getNodeGpuCount>[0];
+        const count = getNodeGpuCount(node);
+        return count > 0 ? String(count) : '—';
+      },
+    },
+  ];
+}