33ddaf97db
- Add GetMetrics method to MetricsClient interface and implement cluster metrics API - Add QuotaPrecheck service for validating resource quotas before deployment - Add auth DTO with role/permission models and auth handler tests - Add instance diagnostics: mounted NFS volumes, labels, annotations in pod diagnostics - Update workspace handler with GetWorkspace endpoint and shared-user list - Fix monitoring handler to use correct service method name - Add tail_lines fallback in instance handler for snake_case query params - Update nginx config for SSE log streaming support (no buffering) - Add comprehensive test coverage: auth_service_test, auth_handler_test, auth_dto_test, metrics_client_test, quota_precheck_test - Update error messages for quota validation and instance operations - ModifyModal: fix YAML lineWidth:0, modified keys summary, delta-only submit - InstanceCard: correctly disable scale-minus when replicas <= 0 - SidebarLayout: add hover transition for sidebar items - Update todo.md and lessons.md with latest fixes
30 lines
810 B
Go
30 lines
810 B
Go
package k8s
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import (
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"testing"
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corev1 "k8s.io/api/core/v1"
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"k8s.io/apimachinery/pkg/api/resource"
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)
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func TestContainerAllocationCountsVendorGPUMemoryKey(t *testing.T) {
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container := corev1.Container{
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Resources: corev1.ResourceRequirements{
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Requests: corev1.ResourceList{
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corev1.ResourceName("nvidia.com/gpumem"): resource.MustParse("10000"),
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},
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Limits: corev1.ResourceList{
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corev1.ResourceName("nvidia.com/gpumem"): resource.MustParse("12000"),
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},
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},
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}
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allocation := containerAllocation(container)
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if allocation.GPUMemoryRequestsMB != 10000 {
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t.Fatalf("expected GPU memory requests 10000 MB, got %d", allocation.GPUMemoryRequestsMB)
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}
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if allocation.GPUMemoryLimitsMB != 12000 {
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t.Fatalf("expected GPU memory limits 12000 MB, got %d", allocation.GPUMemoryLimitsMB)
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}
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}
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