update generated crd code and fix ci

Signed-off-by: Jie Pu <i@jaypu.com>

Author: jaypume

pkg/apis/sedna/v1alpha1/zz_generated.deepcopy.go

@@ -102,7 +102,6 @@ func (c *Controller) appendStatusCondition(name, namespace string, cond sednav1.
 func (c *Controller) updateStatusKnowledgeBase(name, namespace string, cd ConditionData) error {
 	client := c.client.LifelongLearningJobs(namespace)
 	return runtime.RetryUpdateStatus(name, namespace, func() error {
-
 		// check if models field exits
 		if cd.Output == nil || cd.Output.Models == nil || len(cd.Output.Models) == 0 {
 			klog.V(4).Infof("output models is nil, name is %s", name)
@@ -111,9 +110,11 @@ func (c *Controller) updateStatusKnowledgeBase(name, namespace string, cd Condit
 
 		numberOfSamples := 0
 		aiModels := sednav1.AIModels{}
-		aiclasses := sednav1.AIClasses{}
-		aiclasses.ListOfAIClasses = cd.Output.Models[0].Classes
-		aiclasses.NumberOfAIClasses = len(aiclasses.ListOfAIClasses)
+		aiModels.ListOfAIModels = make([]sednav1.AIModel, 0, len(cd.Output.Models))
+
+		aiClasses := sednav1.AIClasses{}
+		aiClasses.ListOfAIClasses = cd.Output.Models[0].Classes
+		aiClasses.NumberOfAIClasses = len(aiClasses.ListOfAIClasses)
 
 		for _, m := range cd.Output.Models {
 			for modelName, metrics := range m.CurrentMetric {
@@ -141,7 +142,7 @@ func (c *Controller) updateStatusKnowledgeBase(name, namespace string, cd Condit
 
 		kb := sednav1.KnowledgeBase{
 			AIModels:  aiModels,
-			AIClasses: aiclasses,
+			AIClasses: aiClasses,
 			Samples:   samples,
 		}
 

pkg/globalmanager/controllers/lifelonglearning/upstream.go

@@ -57,7 +57,7 @@ type Input struct {
 }
 
 type Output struct {
-	// All the TaskInfo has been writen to "Model"
+	// All the TaskInfo has been written to "Model"
 	Models    []map[string]interface{} `json:"models"`
 	OwnerInfo map[string]interface{}   `json:"ownerInfo"`
 }

pkg/localcontroller/gmclient/types.go

@@ -281,9 +281,9 @@ func (lm *Manager) evalTask(job *Job) error {
 				jobConfig.UniqueIdentifier, err)
 		}
 
-		// 这个触发器是指，LC已经告诉GM可以触发Eval worker了，
-		// 边侧在重启之后会ready，后续将会变成completed
-		// 这里的ready和completed状态不要和整体状态变迁图中的状态弄混淆。
+		// This trigger indicate that LC has told GM to trigger Eval worker,
+		// And the state of worker on the edge will be 'ready', then to 'completed'.
+		// Please don't confuse the two concepts with the state in the state transition diagram.
 		// https://github.com/kubeedge/sedna/blob/main/docs/proposals/images/incremental-learning-state-machine.png
 		if jobConfig.EvalTriggerStatus == TriggerReadyStatus {
 			payload, err := lm.triggerEvalTask(job)