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get_advanced.go
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/
get_advanced.go
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// Copyright 2018 The Kubeflow Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package commands
import (
"fmt"
"strings"
"github.com/kubeflow/arena/pkg/types"
"github.com/kubeflow/arena/pkg/util"
"github.com/kubeflow/arena/pkg/util/kubectl"
log "github.com/sirupsen/logrus"
)
/*
* get App Configs by name, which is created by arena
*/
func getTrainingTypes(name, namespace string) (cms []string) {
cms = []string{}
for _, trainingType := range knownTrainingTypes {
found := isTrainingConfigExist(name, trainingType, namespace)
if found {
cms = append(cms, trainingType)
}
}
return cms
}
/*
* get App Configs by name, which is created by arena
*/
func getServingTypes(name, namespace string) (cms []string) {
cms = []string{}
for _, servingType := range knownServingTypes {
found := isTrainingConfigExist(name, servingType, namespace)
if found {
cms = append(cms, servingType)
}
}
return cms
}
/**
* check if the training config exist
*/
func isTrainingConfigExist(name, trainingType, namespace string) bool {
configName := fmt.Sprintf("%s-%s", name, trainingType)
return kubectl.CheckAppConfigMap(configName, namespace)
}
/**
* BuildTrainingJobInfo returns types.TrainingJobInfo
*/
func BuildJobInfo(job TrainingJob) *types.JobInfo {
tensorboard, err := tensorboardURL(job.Name(), job.ChiefPod().Namespace)
if tensorboard == "" || err != nil {
log.Debugf("Tensorboard dones't show up because of %v, or tensorboard url %s", err, tensorboard)
}
instances := []types.Instance{}
for _, pod := range job.AllPods() {
isChief := false
if pod.Name == job.ChiefPod().Name {
isChief = true
}
instances = append(instances, types.Instance{
Name: pod.Name,
Status: strings.ToUpper(string(pod.Status.Phase)),
Age: util.ShortHumanDuration(job.Age()),
Node: pod.Status.HostIP,
IsChief: isChief,
})
}
return &types.JobInfo{
Name: job.Name(),
Namespace: job.Namespace(),
Status: types.JobStatus(GetJobRealStatus(job)),
Duration: util.ShortHumanDuration(job.Duration()),
Trainer: job.Trainer(),
Tensorboard: tensorboard,
ChiefName: job.ChiefPod().Name,
Instances: instances,
}
}