feat: enhance TensorFusionConnection lifecycle and worker configuration

- Add "Starting" phase to TensorFusionConnection states
- Implement worker pod template configuration in config package
- Update controller to use WorkerGenerator for pod management
- Enhance main.go with worker template initialization

Author: 0x5457

api/v1/tensorfusionconnection_types.go

@@ -40,8 +40,9 @@ type TensorFusionConnectionPhase string
 
 // These are the valid phases of a GpuConnection.
 const (
-	TensorFusionConnectionPending TensorFusionConnectionPhase = "Pending"
-	TensorFusionConnectionRunning TensorFusionConnectionPhase = "Running"
+	TensorFusionConnectionPending  TensorFusionConnectionPhase = "Pending"
+	TensorFusionConnectionStarting TensorFusionConnectionPhase = "Starting"
+	TensorFusionConnectionRunning  TensorFusionConnectionPhase = "Running"
 )
 
 // TensorFusionConnectionStatus defines the observed state of TensorFusionConnection.

cmd/main.go

@@ -44,6 +44,7 @@ import (
 	"github.com/NexusGPU/tensor-fusion-operator/internal/server"
 	"github.com/NexusGPU/tensor-fusion-operator/internal/server/router"
 	webhookcorev1 "github.com/NexusGPU/tensor-fusion-operator/internal/webhook/v1"
+	"github.com/NexusGPU/tensor-fusion-operator/internal/worker"
 	// +kubebuilder:scaffold:imports
 )
 
@@ -157,6 +158,9 @@ func main() {
 		Client:    mgr.GetClient(),
 		Scheme:    mgr.GetScheme(),
 		Scheduler: scheduler,
+		WorkerGenerator: &worker.WorkerGenerator{
+			PodTemplate: &config.WorkerTemplate,
+		},
 	}).SetupWithManager(mgr); err != nil {
 		setupLog.Error(err, "unable to create controller", "controller", "TensorFusionConnection")
 		os.Exit(1)

internal/config/config.go

@@ -1,9 +1,12 @@
 package config
 
-import corev1 "k8s.io/api/core/v1"
+import (
+	corev1 "k8s.io/api/core/v1"
+)
 
 type Config struct {
-	PodMutator PodMutator `json:"podMutator"`
+	WorkerTemplate corev1.PodTemplate `json:"workerTemplate"`
+	PodMutator     PodMutator         `json:"podMutator"`
 }
 
 type PodMutator struct {
@@ -12,5 +15,19 @@ type PodMutator struct {
 }
 
 func NewDefaultConfig() Config {
-	return Config{}
+	return Config{
+		WorkerTemplate: corev1.PodTemplate{
+			Template: corev1.PodTemplateSpec{
+				Spec: corev1.PodSpec{
+					Containers: []corev1.Container{
+						{
+							Name:    "tensorfusion-worker",
+							Image:   "busybox:stable-glibc",
+							Command: []string{"sleep", "infinity"},
+						},
+					},
+				},
+			},
+		},
+	}
 }

internal/controller/tensorfusionconnection_controller.go

@@ -21,6 +21,7 @@ import (
 
 	"k8s.io/apimachinery/pkg/api/errors"
 	"k8s.io/apimachinery/pkg/runtime"
+	"k8s.io/apimachinery/pkg/types"
 	"k8s.io/client-go/util/retry"
 	ctrl "sigs.k8s.io/controller-runtime"
 	"sigs.k8s.io/controller-runtime/pkg/client"
@@ -30,13 +31,15 @@ import (
 	"github.com/NexusGPU/tensor-fusion-operator/internal/constants"
 	scheduler "github.com/NexusGPU/tensor-fusion-operator/internal/scheduler"
 	"github.com/NexusGPU/tensor-fusion-operator/internal/worker"
+	corev1 "k8s.io/api/core/v1"
 )
 
 // TensorFusionConnectionReconciler reconciles a TensorFusionConnection object
 type TensorFusionConnectionReconciler struct {
 	client.Client
-	Scheme    *runtime.Scheme
-	Scheduler scheduler.Scheduler
+	Scheme          *runtime.Scheme
+	Scheduler       scheduler.Scheduler
+	WorkerGenerator *worker.WorkerGenerator
 }
 
 var (
@@ -102,25 +105,58 @@ func (r *TensorFusionConnectionReconciler) Reconcile(ctx context.Context, req ct
 			log.Info(err.Error())
 			connection.Status.Phase = tfv1.TensorFusionConnectionPending
 		} else if gpu != nil {
-			connection.Status.Phase = tfv1.TensorFusionConnectionRunning
-			connection.Status.ConnectionURL = worker.GenerateConnectionURL(gpu, connection)
+			connection.Status.Phase = tfv1.TensorFusionConnectionStarting
 			// Store the gpu name for cleanup
 			connection.Status.GPU = gpu.Name
 		} else {
+			// Init status
 			connection.Status.Phase = tfv1.TensorFusionConnectionPending
 		}
 	}
 
+	if connection.Status.Phase == tfv1.TensorFusionConnectionStarting {
+		// Start worker job
+		phase, err := r.StartWorker(ctx, connection, types.NamespacedName{Name: gpu.Name, Namespace: gpu.Namespace})
+		if err != nil {
+			log.Error(err, "Failed to start worker pod")
+			return ctrl.Result{}, err
+		}
+
+		if phase == corev1.PodRunning {
+			connection.Status.Phase = tfv1.TensorFusionConnectionRunning
+			connection.Status.ConnectionURL = r.WorkerGenerator.GenerateConnectionURL(gpu, connection)
+		}
+		// TODO: Handle PodFailure
+	}
+
 	if err := r.MustUpdateStatus(ctx, connection, gpu); err != nil {
 		return ctrl.Result{}, err
 	}
 
 	if connection.Status.Phase == tfv1.TensorFusionConnectionPending {
+		// requeue
 		return ctrl.Result{RequeueAfter: constants.PendingRequeueDuration}, nil
 	}
+
 	return ctrl.Result{}, nil
 }
 
+func (r *TensorFusionConnectionReconciler) StartWorker(ctx context.Context, connection *tfv1.TensorFusionConnection, namespacedName types.NamespacedName) (corev1.PodPhase, error) {
+	// Try to get the Pod
+	pod := &corev1.Pod{}
+	if err := r.Get(ctx, namespacedName, pod); err != nil {
+		if errors.IsNotFound(err) {
+			// Pod doesn't exist, create a new one
+			pod = r.WorkerGenerator.GenerateWorkerPod(connection, namespacedName)
+			if err := r.Create(ctx, pod); err != nil {
+				return "", err
+			}
+			return corev1.PodPending, nil
+		}
+	}
+	return pod.Status.Phase, nil
+}
+
 // handleDeletion handles cleanup of external dependencies
 func (r *TensorFusionConnectionReconciler) handleDeletion(ctx context.Context, connection *tfv1.TensorFusionConnection) error {
 	if connection.Status.GPU == "" {
@@ -209,6 +245,7 @@ func (r *TensorFusionConnectionReconciler) MustUpdateStatus(ctx context.Context,
 func (r *TensorFusionConnectionReconciler) SetupWithManager(mgr ctrl.Manager) error {
 	return ctrl.NewControllerManagedBy(mgr).
 		For(&tfv1.TensorFusionConnection{}).
+		Owns(&corev1.Pod{}).
 		Named("tensorfusionconnection").
 		Complete(r)
 }

internal/controller/tensorfusionconnection_controller_test.go

@@ -28,6 +28,8 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 
 	tensorfusionaiv1 "github.com/NexusGPU/tensor-fusion-operator/api/v1"
+	"github.com/NexusGPU/tensor-fusion-operator/internal/config"
+	"github.com/NexusGPU/tensor-fusion-operator/internal/worker"
 )
 
 var _ = Describe("TensorFusionConnection Controller", func() {
@@ -68,11 +70,14 @@ var _ = Describe("TensorFusionConnection Controller", func() {
 		})
 		It("should successfully reconcile the resource", func() {
 			By("Reconciling the created resource")
+			config := config.NewDefaultConfig()
 			controllerReconciler := &TensorFusionConnectionReconciler{
 				Client: k8sClient,
 				Scheme: k8sClient.Scheme(),
+				WorkerGenerator: &worker.WorkerGenerator{
+					PodTemplate: &config.WorkerTemplate,
+				},
 			}
-
 			_, err := controllerReconciler.Reconcile(ctx, reconcile.Request{
 				NamespacedName: typeNamespacedName,
 			})

internal/worker/worker.go

@@ -2,8 +2,28 @@ package worker
 
 import (
 	tfv1 "github.com/NexusGPU/tensor-fusion-operator/api/v1"
+	corev1 "k8s.io/api/core/v1"
+	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
+	"k8s.io/apimachinery/pkg/types"
 )
 
-func GenerateConnectionURL(_gpu *tfv1.GPU, _connection *tfv1.TensorFusionConnection) string {
+type WorkerGenerator struct {
+	PodTemplate *corev1.PodTemplate
+}
+
+func (wg *WorkerGenerator) GenerateConnectionURL(_gpu *tfv1.GPU, _connection *tfv1.TensorFusionConnection) string {
 	return "TODO://"
 }
+
+func (wg *WorkerGenerator) GenerateWorkerPod(
+	connection *tfv1.TensorFusionConnection,
+	namespacedName types.NamespacedName,
+) *corev1.Pod {
+	return &corev1.Pod{
+		ObjectMeta: metav1.ObjectMeta{
+			Name:      namespacedName.Name,
+			Namespace: namespacedName.Namespace,
+		},
+		Spec: wg.PodTemplate.Template.Spec,
+	}
+}