aiforge/routers/repo/aisafety.go

package repo

import (
	"bufio"
	"encoding/json"
	"errors"
	"fmt"
	"io"
	"io/ioutil"
	"net/http"
	"os"
	"strconv"
	"strings"
	"time"

	"code.gitea.io/gitea/models"
	"code.gitea.io/gitea/modules/aisafety"
	"code.gitea.io/gitea/modules/cloudbrain"
	"code.gitea.io/gitea/modules/context"
	"code.gitea.io/gitea/modules/git"
	"code.gitea.io/gitea/modules/log"
	"code.gitea.io/gitea/modules/modelarts"
	"code.gitea.io/gitea/modules/setting"
	"code.gitea.io/gitea/modules/storage"
	"code.gitea.io/gitea/modules/timeutil"
	"code.gitea.io/gitea/modules/util"
	"code.gitea.io/gitea/services/cloudbrain/resource"
	"code.gitea.io/gitea/services/reward/point/account"
	uuid "github.com/satori/go.uuid"
)

const (
	tplModelSafetyTestCreateGrampusGpu = "repo/modelsafety/newgrampusgpu"
	tplModelSafetyTestCreateGrampusNpu = "repo/modelsafety/newgrampusnpu"
	tplModelSafetyTestCreateGpu        = "repo/modelsafety/newgpu"
	tplModelSafetyTestCreateNpu        = "repo/modelsafety/newnpu"
	tplModelSafetyTestShow             = "repo/modelsafety/show"
)

func CloudBrainAiSafetyCreateTest(ctx *context.Context) {
	log.Info("start to create CloudBrainAiSafetyCreate")
	uuid := uuid.NewV4()
	id := uuid.String()
	seriaNoParas := ctx.Query("serialNo")
	fileName := ctx.Query("fileName")

	//if jobType == string(models.JobTypeBenchmark) {
	req := aisafety.TaskReq{
		UnionId:     id,
		EvalName:    "test1",
		EvalContent: "test1",
		TLPath:      "test1",
		Indicators:  []string{"ACC", "ASS"},
		CDName:      "CIFAR10_1000_FGSM",
		BDName:      "CIFAR10_1000基础数据集",
	}
	aisafety.GetAlgorithmList()
	if seriaNoParas != "" {
		aisafety.GetTaskStatus(seriaNoParas)
	} else {
		jsonStr, err := getJsonContent("http://192.168.207.34:8065/Test_zap1234/openi_aisafety/raw/branch/master/result/" + fileName)
		serialNo, err := aisafety.CreateSafetyTask(req, jsonStr)
		if err == nil {
			log.Info("serialNo=" + serialNo)
			time.Sleep(time.Duration(2) * time.Second)
			aisafety.GetTaskStatus(serialNo)
		} else {
			log.Info("CreateSafetyTask error," + err.Error())
		}
	}
}

func GetAiSafetyTaskByJob(job *models.Cloudbrain) {
	if job == nil {
		log.Error("GetCloudbrainByJobID failed")
		return
	}
	syncAiSafetyTaskStatus(job)
}

func GetAiSafetyTaskTmpl(ctx *context.Context) {
	ctx.Data["id"] = ctx.Params(":jobid")
	ctx.Data["PageIsCloudBrain"] = true
	ctx.HTML(200, tplModelSafetyTestShow)
}

func GetAiSafetyTask(ctx *context.Context) {
	var ID = ctx.Params(":jobid")
	job, err := models.GetCloudbrainByIDWithDeleted(ID)
	if err != nil {
		log.Error("GetCloudbrainByJobID failed:" + err.Error())
		return
	}
	syncAiSafetyTaskStatus(job)
	job, err = models.GetCloudbrainByIDWithDeleted(ID)
	job.BenchmarkType = "安全评测"
	job.BenchmarkTypeName = "Image Classification"
	job.CanModify = cloudbrain.CanModifyJob(ctx, job)
	job.CanDel = cloudbrain.CanDeleteJob(ctx, job)

	s, err := resource.GetCloudbrainSpec(job.ID)
	if err == nil {
		job.Spec = s
	}
	user, err := models.GetUserByID(job.UserID)
	if err == nil {
		tmpUser := &models.User{
			Name: user.Name,
		}
		job.User = tmpUser
	}

	ctx.JSON(200, job)
}

func StopAiSafetyTask(ctx *context.Context) {
	log.Info("start to stop the task.")
	var ID = ctx.Params(":jobid")
	task, err := models.GetCloudbrainByIDWithDeleted(ID)
	result := make(map[string]interface{})
	result["code"] = -1
	if err != nil {
		log.Info("query task error.err=" + err.Error())
		log.Error("GetCloudbrainByJobID failed:" + err.Error())
		result["msg"] = "No such task."
		ctx.JSON(200, result)
		return
	}
	if isTaskNotFinished(task.Status) {
		if task.Type == models.TypeCloudBrainTwo {
			log.Info("start to stop model arts task.")
			_, err := modelarts.StopTrainJob(task.JobID, strconv.FormatInt(task.VersionID, 10))
			if err != nil {
				log.Info("stop failed.err=" + err.Error())
			}
			task.Status = string(models.JobStopped)
			if task.EndTime == 0 {
				task.EndTime = timeutil.TimeStampNow()
			}
			task.ComputeAndSetDuration()
			err = models.UpdateJob(task)
			if err != nil {
				log.Error("UpdateJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
				result["msg"] = "cloudbrain.Stopped_success_update_status_fail"
				ctx.JSON(200, result)
				return
			}
			//queryTaskStatusFromCloudbrainTwo(job)
		} else if task.Type == models.TypeCloudBrainOne {
			if task.Status == string(models.JobStopped) || task.Status == string(models.JobFailed) || task.Status == string(models.JobSucceeded) {
				log.Error("the job(%s) has been stopped", task.JobName, ctx.Data["msgID"])
				result["msg"] = "cloudbrain.Already_stopped"
				ctx.JSON(200, result)
				return
			}
			err := cloudbrain.StopJob(task.JobID)
			if err != nil {
				log.Error("StopJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
				result["msg"] = "cloudbrain.Stopped_failed"
				ctx.JSON(200, result)
				return
			}
			task.Status = string(models.JobStopped)
			if task.EndTime == 0 {
				task.EndTime = timeutil.TimeStampNow()
			}
			task.ComputeAndSetDuration()
			err = models.UpdateJob(task)
			if err != nil {
				log.Error("UpdateJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
				result["msg"] = "cloudbrain.Stopped_success_update_status_fail"
				ctx.JSON(200, result)
				return
			}
		}
	} else {
		if task.Status == string(models.ModelSafetyTesting) {
			//修改为Failed
			task.Status = string(models.JobStopped)
			if task.EndTime == 0 {
				task.EndTime = timeutil.TimeStampNow()
			}
			task.ComputeAndSetDuration()
			err = models.UpdateJob(task)
			if err != nil {
				log.Error("UpdateJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
				result["msg"] = "cloudbrain.Stopped_success_update_status_fail"
				ctx.JSON(200, result)
				return
			}
		} else {
			log.Info("The job is finished. status=" + task.Status)
		}
	}

}

func DelAiSafetyTask(ctx *context.Context) {
	var ID = ctx.Params(":jobid")
	task, err := models.GetCloudbrainByIDWithDeleted(ID)
	result := make(map[string]interface{})
	result["code"] = 1
	if err != nil {
		log.Error("GetCloudbrainByJobID failed:" + err.Error())
		result["msg"] = "No such task."
		ctx.ServerError("No such task.", err)
		return
	}
	if task.Status != string(models.JobStopped) && task.Status != string(models.JobFailed) && task.Status != string(models.JobSucceeded) {
		log.Error("the job(%s) has not been stopped", task.JobName, ctx.Data["msgID"])
		result["msg"] = "the job(" + task.JobName + ") has not been stopped"
		ctx.ServerError("the job("+task.JobName+") has not been stopped", nil)
		return
	}
	if task.Type == models.TypeCloudBrainOne {
		DeleteCloudbrainJobStorage(task.JobName, models.TypeCloudBrainOne)
	}
	err = models.DeleteJob(task)
	if err != nil {
		result["msg"] = err.Error()
		ctx.ServerError(err.Error(), err)
		return
	}
	ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/cloudbrain/benchmark")
}

func syncAiSafetyTaskStatus(job *models.Cloudbrain) {
	log.Info("start to query safety task status.")
	if isTaskNotFinished(job.Status) {
		if job.Type == models.TypeCloudBrainTwo {
			queryTaskStatusFromCloudbrainTwo(job)
		} else if job.Type == models.TypeCloudBrainOne {
			queryTaskStatusFromCloudbrain(job)
		}
	} else {
		if job.Status == string(models.ModelSafetyTesting) {
			queryTaskStatusFromModelSafetyTestServer(job)
		} else {
			log.Info("The job is finished. status=" + job.Status)
		}
	}
}

func TimerHandleModelSafetyTestTask() {
	log.Info("start to TimerHandleModelSafetyTestTask")
	tasks, err := models.GetModelSafetyTestTask()
	if err == nil {
		if tasks != nil && len(tasks) > 0 {
			for _, job := range tasks {
				syncAiSafetyTaskStatus(job)
			}
		} else {
			log.Info("query running model safety test task 0.")
		}
	} else {
		log.Info("query running model safety test task err." + err.Error())
	}
}

func queryTaskStatusFromCloudbrainTwo(job *models.Cloudbrain) {
	log.Info("The task not finished,name=" + job.DisplayJobName)
	result, err := modelarts.GetTrainJob(job.JobID, strconv.FormatInt(job.VersionID, 10))
	if err != nil {
		log.Info("query train job error." + err.Error())
		return
	}
	job.Status = modelarts.TransTrainJobStatus(result.IntStatus)
	job.Duration = result.Duration / 1000
	job.TrainJobDuration = result.TrainJobDuration

	if job.StartTime == 0 && result.StartTime > 0 {
		job.StartTime = timeutil.TimeStamp(result.StartTime / 1000)
	}
	job.TrainJobDuration = models.ConvertDurationToStr(job.Duration)
	if job.EndTime == 0 && models.IsTrainJobTerminal(job.Status) && job.StartTime > 0 {
		job.EndTime = job.StartTime.Add(job.Duration)
	}
	job.CorrectCreateUnix()

	if job.Status != string(models.ModelArtsTrainJobCompleted) {
		log.Info("CloudbrainTwo task status=" + job.Status)
		err = models.UpdateJob(job)
		if err != nil {
			log.Error("UpdateJob failed:", err)
		}
	} else {
		log.Info("start to deal ModelSafetyTesting, task status=" + job.Status)
		job.Status = string(models.ModelSafetyTesting)
		err = models.UpdateJob(job)
		if err != nil {
			log.Error("UpdateJob failed:", err)
		}
		//send msg to beihang
		sendNPUInferenceResultToTest(job)
	}

}

func updateCloudBrainOneJobTime(task *models.Cloudbrain) {
	if task.TrainJobDuration == "" {
		if task.Duration == 0 {
			var duration int64
			if task.Status == string(models.JobWaiting) {
				duration = 0
			} else if task.Status == string(models.JobRunning) {
				duration = time.Now().Unix() - int64(task.CreatedUnix)
			} else {
				duration = int64(task.UpdatedUnix) - int64(task.CreatedUnix)
			}
			task.Duration = duration
		}
		task.TrainJobDuration = models.ConvertDurationToStr(task.Duration)
	}
}

func queryTaskStatusFromCloudbrain(job *models.Cloudbrain) {

	log.Info("The task not finished,name=" + job.DisplayJobName)
	jobResult, err := cloudbrain.GetJob(job.JobID)

	result, err := models.ConvertToJobResultPayload(jobResult.Payload)
	if err != nil {
		log.Error("ConvertToJobResultPayload failed:", err)
		return
	}
	job.Status = result.JobStatus.State
	if result.JobStatus.State != string(models.JobWaiting) && result.JobStatus.State != string(models.JobFailed) {
		taskRoles := result.TaskRoles
		taskRes, _ := models.ConvertToTaskPod(taskRoles[cloudbrain.SubTaskName].(map[string]interface{}))
		job.Status = taskRes.TaskStatuses[0].State
	}
	updateCloudBrainOneJobTime(job)
	log.Info("cloud brain one job status=" + job.Status)
	if result.JobStatus.State != string(models.JobSucceeded) {
		err = models.UpdateJob(job)
		if err != nil {
			log.Error("UpdateJob failed:", err)
		}
	} else {
		//
		job.Status = string(models.ModelSafetyTesting)
		err = models.UpdateJob(job)
		if err != nil {
			log.Error("UpdateJob failed:", err)
		}
		//send msg to beihang
		sendGPUInferenceResultToTest(job)
	}
}

func queryTaskStatusFromModelSafetyTestServer(job *models.Cloudbrain) {
	result, err := aisafety.GetTaskStatus(job.PreVersionName)
	if err == nil {
		if result.Code == "0" {
			if result.Data.Status == 1 {
				log.Info("The task is running....")
			} else {
				if result.Data.Code == 0 {
					job.ResultJson = result.Data.StandardJson
					job.Status = string(models.JobSucceeded)
					err = models.UpdateJob(job)
					if err != nil {
						log.Error("UpdateJob failed:", err)
					}
				}
			}
		} else {
			log.Info("The task is failed.")
			job.Status = string(models.JobFailed)
			err = models.UpdateJob(job)
			if err != nil {
				log.Error("UpdateJob failed:", err)
			}
		}
	} else {
		log.Info("The task not found.....")
	}
}

func getAisafetyTaskReq(job *models.Cloudbrain) aisafety.TaskReq {
	datasetname := job.DatasetName
	datasetnames := strings.Split(datasetname, ";")
	indicator := job.LabelName
	EvalContent := "test1"
	if job.Description != "" {
		EvalContent = job.Description
	}
	req := aisafety.TaskReq{
		UnionId:     job.JobID,
		EvalName:    job.DisplayJobName,
		EvalContent: EvalContent,
		TLPath:      "test1",
		Indicators:  strings.Split(indicator, ";"),
		CDName:      strings.Split(datasetnames[1], ".")[0],
		BDName:      strings.Split(datasetnames[0], ".")[0] + "基础数据集",
	}
	log.Info("CDName=" + req.CDName)
	log.Info("BDName=" + req.BDName)
	return req
}

func sendGPUInferenceResultToTest(job *models.Cloudbrain) {
	log.Info("send sendGPUInferenceResultToTest")
	req := getAisafetyTaskReq(job)
	resultDir := "/result"
	prefix := setting.CBCodePathPrefix + job.JobName + resultDir
	files, err := storage.GetOneLevelAllObjectUnderDirMinio(setting.Attachment.Minio.Bucket, prefix, "")
	if err != nil {
		log.Error("query cloudbrain one model failed: %v", err)
		return
	}
	jsonContent := ""
	for _, file := range files {
		if strings.HasSuffix(file.FileName, "result.json") {
			path := storage.GetMinioPath(job.JobName+resultDir+"/", file.FileName)
			log.Info("path=" + path)
			reader, err := os.Open(path)
			defer reader.Close()
			if err == nil {
				r := bufio.NewReader(reader)
				for {
					line, error := r.ReadString('\n')
					jsonContent += line
					if error == io.EOF {
						log.Info("read file completed.")
						break
					}
					if error != nil {
						log.Info("read file error." + error.Error())
						break
					}
				}
			}
			break
		}
	}
	if jsonContent != "" {
		sendHttpReqToBeihang(job, jsonContent, req)
	} else {
		updateJobFailed(job)
	}
}

func sendNPUInferenceResultToTest(job *models.Cloudbrain) {
	log.Info("start to sendNPUInferenceResultToTest")
	req := getAisafetyTaskReq(job)
	jsonContent := ""
	VersionOutputPath := modelarts.GetOutputPathByCount(modelarts.TotalVersionCount)
	resultPath := modelarts.JobPath + job.JobName + modelarts.ResultPath + VersionOutputPath + "/result.json"
	resultPath = resultPath[1:]
	log.Info("bucket=" + setting.Bucket + "  resultPath=" + resultPath)
	body, err := storage.ObsDownloadAFile(setting.Bucket, resultPath)
	if err != nil {
		log.Info("ObsDownloadAFile  error." + err.Error() + " resultPath=" + resultPath)
	} else {
		defer body.Close()
		var data []byte
		p := make([]byte, 4096)
		var readErr error
		var readCount int
		for {
			readCount, readErr = body.Read(p)
			if readCount > 0 {
				data = append(data, p[:readCount]...)
			}
			if readErr != nil || readCount == 0 {
				break
			}
		}
		jsonContent = string(data)
	}

	if jsonContent != "" {
		sendHttpReqToBeihang(job, jsonContent, req)
	} else {
		updateJobFailed(job)
	}
}
func updateJobFailed(job *models.Cloudbrain) {
	log.Info("The json is null. so set it failed.")
	//update task failed.
	job.Status = string(models.ModelArtsTrainJobFailed)
	err := models.UpdateJob(job)
	if err != nil {
		log.Error("UpdateJob failed:", err)
	}
}
func sendHttpReqToBeihang(job *models.Cloudbrain, jsonContent string, req aisafety.TaskReq) {
	log.Info("start to send beihang ...")
	serialNo, err := aisafety.CreateSafetyTask(req, jsonContent)
	if err == nil {
		//update serial no to db
		job.PreVersionName = serialNo
		err = models.UpdateJob(job)
		if err != nil {
			log.Error("UpdateJob failed:", err)
		}
	}
}

func isTaskNotFinished(status string) bool {
	if status == string(models.ModelArtsTrainJobRunning) || status == string(models.ModelArtsTrainJobWaiting) {
		return true
	}
	if status == string(models.JobWaiting) || status == string(models.JobRunning) {
		return true
	}

	if status == string(models.ModelArtsTrainJobUnknown) || status == string(models.ModelArtsTrainJobInit) {
		return true
	}
	if status == string(models.ModelArtsTrainJobImageCreating) || status == string(models.ModelArtsTrainJobSubmitTrying) {
		return true
	}
	return false
}

func AiSafetyCreateForGetGPU(ctx *context.Context) {
	t := time.Now()
	ctx.Data["PageIsCloudBrain"] = true
	ctx.Data["IsCreate"] = true
	ctx.Data["type"] = models.TypeCloudBrainOne
	ctx.Data["compute_resource"] = models.GPUResource
	ctx.Data["datasetType"] = models.TypeCloudBrainOne
	ctx.Data["BaseDataSetName"] = setting.ModelSafetyTest.GPUBaseDataSetName
	ctx.Data["BaseDataSetUUID"] = setting.ModelSafetyTest.GPUBaseDataSetUUID
	ctx.Data["CombatDataSetName"] = setting.ModelSafetyTest.GPUCombatDataSetName
	ctx.Data["CombatDataSetUUID"] = setting.ModelSafetyTest.GPUCombatDataSetUUID
	var displayJobName = jobNamePrefixValid(cutString(ctx.User.Name, 5)) + t.Format("2006010215") + strconv.Itoa(int(t.Unix()))[5:]
	ctx.Data["display_job_name"] = displayJobName
	prepareCloudbrainOneSpecs(ctx)
	queuesDetail, _ := cloudbrain.GetQueuesDetail()
	if queuesDetail != nil {
		ctx.Data["QueuesDetail"] = queuesDetail
	}
	ctx.HTML(200, tplModelSafetyTestCreateGpu)
}

func AiSafetyCreateForGetNPU(ctx *context.Context) {
	t := time.Now()
	ctx.Data["PageIsCloudBrain"] = true
	ctx.Data["IsCreate"] = true
	ctx.Data["type"] = models.TypeCloudBrainTwo
	ctx.Data["compute_resource"] = models.NPUResource
	var displayJobName = jobNamePrefixValid(cutString(ctx.User.Name, 5)) + t.Format("2006010215") + strconv.Itoa(int(t.Unix()))[5:]
	ctx.Data["display_job_name"] = displayJobName
	ctx.Data["datasetType"] = models.TypeCloudBrainTwo
	ctx.Data["BaseDataSetName"] = setting.ModelSafetyTest.NPUBaseDataSetName
	ctx.Data["BaseDataSetUUID"] = setting.ModelSafetyTest.NPUBaseDataSetUUID
	ctx.Data["CombatDataSetName"] = setting.ModelSafetyTest.NPUCombatDataSetName
	ctx.Data["CombatDataSetUUID"] = setting.ModelSafetyTest.NPUCombatDataSetUUID

	var resourcePools modelarts.ResourcePool
	if err := json.Unmarshal([]byte(setting.ResourcePools), &resourcePools); err != nil {
		ctx.ServerError("json.Unmarshal failed:", err)
	}
	ctx.Data["resource_pools"] = resourcePools.Info

	var engines modelarts.Engine
	if err := json.Unmarshal([]byte(setting.Engines), &engines); err != nil {
		ctx.ServerError("json.Unmarshal failed:", err)
	}
	ctx.Data["engines"] = engines.Info

	var versionInfos modelarts.VersionInfo
	if err := json.Unmarshal([]byte(setting.EngineVersions), &versionInfos); err != nil {
		ctx.ServerError("json.Unmarshal failed:", err)
	}
	ctx.Data["engine_versions"] = versionInfos.Version

	prepareCloudbrainTwoInferenceSpecs(ctx)
	waitCount := cloudbrain.GetWaitingCloudbrainCount(models.TypeCloudBrainTwo, "")
	ctx.Data["WaitCount"] = waitCount
	ctx.HTML(200, tplModelSafetyTestCreateNpu)
}

func AiSafetyCreateForPost(ctx *context.Context) {
	ctx.Data["PageIsCloudBrain"] = true
	displayJobName := ctx.Query("display_job_name")
	jobName := util.ConvertDisplayJobNameToJobName(displayJobName)

	taskType := ctx.QueryInt("type")
	description := ctx.Query("description")
	ctx.Data["type"] = taskType
	ctx.Data["displayJobName"] = displayJobName
	ctx.Data["description"] = description

	repo := ctx.Repo.Repository

	tpname := tplCloudBrainModelSafetyNewNpu
	if taskType == models.TypeCloudBrainOne {
		tpname = tplCloudBrainModelSafetyNewGpu
	}

	tasks, err := models.GetCloudbrainsByDisplayJobName(repo.ID, string(models.JobTypeModelSafety), displayJobName)
	if err == nil {
		if len(tasks) != 0 {
			log.Error("the job name did already exist", ctx.Data["MsgID"])
			modelSafetyNewDataPrepare(ctx)
			ctx.RenderWithErr("the job name did already exist", tpname, nil)
			return
		}
	} else {
		if !models.IsErrJobNotExist(err) {
			log.Error("system error, %v", err, ctx.Data["MsgID"])
			modelSafetyNewDataPrepare(ctx)
			ctx.RenderWithErr("system error", tpname, nil)
			return
		}
	}

	if !jobNamePattern.MatchString(jobName) {
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_jobname_err"), tpname, nil)
		return
	}

	count, err := models.GetModelSafetyCountByUserID(ctx.User.ID)
	if err != nil {
		log.Error("GetCloudbrainCountByUserID failed:%v", err, ctx.Data["MsgID"])
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("system error", tpname, nil)
		return
	} else {
		if count >= 1 {
			log.Error("the user already has running or waiting task", ctx.Data["MsgID"])
			modelSafetyNewDataPrepare(ctx)
			ctx.RenderWithErr(ctx.Tr("repo.cloudbrain.morethanonejob"), tpname, nil)
			return
		}
	}
	BootFile := ctx.Query("boot_file")
	bootFileExist, err := ctx.Repo.FileExists(BootFile, cloudbrain.DefaultBranchName)
	if err != nil || !bootFileExist {
		log.Error("Get bootfile error:", err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_bootfile_err"), tpname, nil)
		return
	}

	if taskType == models.TypeCloudBrainTwo {
		ctx.Data["datasetType"] = models.TypeCloudBrainTwo
		createForNPU(ctx, jobName)
	} else if taskType == models.TypeCloudBrainOne {
		ctx.Data["datasetType"] = models.TypeCloudBrainOne
		createForGPU(ctx, jobName)
	}
	log.Info("to redirect...")
	ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/cloudbrain/benchmark")
}

func createForNPU(ctx *context.Context, jobName string) {
	VersionOutputPath := modelarts.GetOutputPathByCount(modelarts.TotalVersionCount)
	BootFile := ctx.Query("boot_file")
	displayJobName := ctx.Query("display_job_name")
	description := ctx.Query("description")

	srcDataset := ctx.Query("src_dataset")       //uuid
	combatDataset := ctx.Query("combat_dataset") //uuid
	evaluationIndex := ctx.Query("evaluation_index")
	Params := ctx.Query("run_para_list")
	specId := ctx.QueryInt64("spec_id")

	engineID := ctx.QueryInt("engine_id")
	log.Info("engine_id=" + fmt.Sprint(engineID))
	poolID := ctx.Query("pool_id")
	repo := ctx.Repo.Repository

	trainUrl := ctx.Query("train_url")
	modelName := ctx.Query("model_name")
	modelVersion := ctx.Query("model_version")
	ckptName := ctx.Query("ckpt_name")
	ckptUrl := "/" + trainUrl + ckptName
	log.Info("ckpt url:" + ckptUrl)

	FlavorName := ctx.Query("flaver_names")
	EngineName := ctx.Query("engine_names")

	isLatestVersion := modelarts.IsLatestVersion
	VersionCount := modelarts.VersionCountOne

	codeLocalPath := setting.JobPath + jobName + modelarts.CodePath
	codeObsPath := "/" + setting.Bucket + modelarts.JobPath + jobName + modelarts.CodePath
	resultObsPath := "/" + setting.Bucket + modelarts.JobPath + jobName + modelarts.ResultPath + VersionOutputPath + "/"
	logObsPath := "/" + setting.Bucket + modelarts.JobPath + jobName + modelarts.LogPath + VersionOutputPath + "/"
	log.Info("ckpt url:" + ckptUrl)
	spec, err := resource.GetAndCheckSpec(ctx.User.ID, specId, models.FindSpecsOptions{
		JobType:         models.JobTypeInference,
		ComputeResource: models.NPU,
		Cluster:         models.OpenICluster,
		AiCenterCode:    models.AICenterOfCloudBrainTwo})
	if err != nil || spec == nil {
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("Resource specification not available", tplCloudBrainModelSafetyNewNpu, nil)
		return
	}
	if !account.IsPointBalanceEnough(ctx.User.ID, spec.UnitPrice) {
		log.Error("point balance is not enough,userId=%d specId=%d ", ctx.User.ID, spec.ID)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("points.insufficient_points_balance"), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}

	//todo: del the codeLocalPath
	_, err = ioutil.ReadDir(codeLocalPath)
	if err == nil {
		os.RemoveAll(codeLocalPath)
	}

	gitRepo, _ := git.OpenRepository(repo.RepoPath())
	commitID, _ := gitRepo.GetBranchCommitID(cloudbrain.DefaultBranchName)

	if err := downloadCode(repo, codeLocalPath, cloudbrain.DefaultBranchName); err != nil {
		log.Error("Create task failed, server timed out: %s (%v)", repo.FullName(), err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}

	//todo: upload code (send to file_server todo this work?)
	if err := obsMkdir(setting.CodePathPrefix + jobName + modelarts.ResultPath + VersionOutputPath + "/"); err != nil {
		log.Error("Failed to obsMkdir_result: %s (%v)", repo.FullName(), err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("Failed to obsMkdir_result", tplCloudBrainModelSafetyNewNpu, nil)
		return
	}

	if err := obsMkdir(setting.CodePathPrefix + jobName + modelarts.LogPath + VersionOutputPath + "/"); err != nil {
		log.Error("Failed to obsMkdir_log: %s (%v)", repo.FullName(), err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("Failed to obsMkdir_log", tplCloudBrainModelSafetyNewNpu, nil)
		return
	}

	if err := uploadCodeToObs(codeLocalPath, jobName, ""); err != nil {
		log.Error("Failed to uploadCodeToObs: %s (%v)", repo.FullName(), err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}

	var parameters models.Parameters
	param := make([]models.Parameter, 0)
	param = append(param, models.Parameter{
		Label: modelarts.ResultUrl,
		Value: "s3:/" + resultObsPath,
	}, models.Parameter{
		Label: modelarts.CkptUrl,
		Value: "s3:/" + ckptUrl,
	})
	uuid := srcDataset + ";" + combatDataset
	datasUrlList, dataUrl, datasetNames, isMultiDataset, err := getDatasUrlListByUUIDS(uuid)
	if err != nil {
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(err.Error(), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}
	dataPath := dataUrl
	jsondatas, err := json.Marshal(datasUrlList)
	if err != nil {
		log.Error("Failed to Marshal: %v", err)
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("json error:"+err.Error(), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}
	if isMultiDataset {
		param = append(param, models.Parameter{
			Label: modelarts.MultiDataUrl,
			Value: string(jsondatas),
		})
	}

	existDeviceTarget := false
	if len(Params) != 0 {
		err := json.Unmarshal([]byte(Params), &parameters)
		if err != nil {
			log.Error("Failed to Unmarshal params: %s (%v)", Params, err)
			modelSafetyNewDataPrepare(ctx)
			ctx.RenderWithErr("运行参数错误", tplCloudBrainModelSafetyNewNpu, nil)
			return
		}

		for _, parameter := range parameters.Parameter {
			if parameter.Label == modelarts.DeviceTarget {
				existDeviceTarget = true
			}
			if parameter.Label != modelarts.TrainUrl && parameter.Label != modelarts.DataUrl {
				param = append(param, models.Parameter{
					Label: parameter.Label,
					Value: parameter.Value,
				})
			}
		}
	}
	if !existDeviceTarget {
		param = append(param, models.Parameter{
			Label: modelarts.DeviceTarget,
			Value: modelarts.Ascend,
		})
	}

	req := &modelarts.GenerateInferenceJobReq{
		JobName:           jobName,
		DisplayJobName:    displayJobName,
		DataUrl:           dataPath,
		Description:       description,
		CodeObsPath:       codeObsPath,
		BootFileUrl:       codeObsPath + BootFile,
		BootFile:          BootFile,
		TrainUrl:          trainUrl,
		WorkServerNumber:  1,
		EngineID:          int64(engineID),
		LogUrl:            logObsPath,
		PoolID:            poolID,
		Uuid:              uuid,
		Parameters:        param, //modelarts train parameters
		CommitID:          commitID,
		BranchName:        cloudbrain.DefaultBranchName,
		Params:            Params,
		FlavorName:        FlavorName,
		EngineName:        EngineName,
		LabelName:         evaluationIndex,
		IsLatestVersion:   isLatestVersion,
		VersionCount:      VersionCount,
		TotalVersionCount: modelarts.TotalVersionCount,
		ModelName:         modelName,
		ModelVersion:      modelVersion,
		CkptName:          ckptName,
		ResultUrl:         resultObsPath,
		Spec:              spec,
		DatasetName:       datasetNames,
		JobType:           string(models.JobTypeModelSafety),
	}

	err = modelarts.GenerateInferenceJob(ctx, req)
	if err != nil {
		log.Error("GenerateTrainJob failed:%v", err.Error())
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(err.Error(), tplCloudBrainModelSafetyNewNpu, nil)
		return
	}
}

func createForGPU(ctx *context.Context, jobName string) {
	BootFile := ctx.Query("boot_file")
	displayJobName := ctx.Query("display_job_name")
	description := ctx.Query("description")
	image := strings.TrimSpace(ctx.Query("image"))
	srcDataset := ctx.Query("src_dataset")       //uuid
	combatDataset := ctx.Query("combat_dataset") //uuid
	evaluationIndex := ctx.Query("evaluation_index")
	Params := ctx.Query("run_para_list")
	specId := ctx.QueryInt64("spec_id")
	TrainUrl := ctx.Query("train_url")
	CkptName := ctx.Query("ckpt_name")
	modelName := ctx.Query("model_name")
	modelVersion := ctx.Query("model_version")

	ckptUrl := setting.Attachment.Minio.RealPath + TrainUrl + CkptName
	log.Info("ckpt url:" + ckptUrl)
	spec, err := resource.GetAndCheckSpec(ctx.User.ID, specId, models.FindSpecsOptions{
		JobType:         models.JobTypeTrain,
		ComputeResource: models.GPU,
		Cluster:         models.OpenICluster,
		AiCenterCode:    models.AICenterOfCloudBrainOne})
	if err != nil || spec == nil {
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("Resource specification not available", tplCloudBrainModelSafetyNewGpu, nil)
		return
	}

	repo := ctx.Repo.Repository
	codePath := setting.JobPath + jobName + cloudbrain.CodeMountPath
	os.RemoveAll(codePath)

	if err := downloadCode(repo, codePath, cloudbrain.DefaultBranchName); err != nil {
		log.Error("downloadCode failed, %v", err, ctx.Data["MsgID"])
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("system error", tplCloudBrainModelSafetyNewGpu, nil)
		return
	}

	err = uploadCodeToMinio(codePath+"/", jobName, cloudbrain.CodeMountPath+"/")
	if err != nil {
		log.Error("uploadCodeToMinio failed, %v", err, ctx.Data["MsgID"])
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr("system error", tplCloudBrainModelSafetyNewGpu, nil)
		return
	}

	uuid := srcDataset + ";" + combatDataset
	datasetInfos, datasetNames, err := models.GetDatasetInfo(uuid)
	log.Info("uuid=" + uuid)
	if err != nil {
		log.Error("GetDatasetInfo failed: %v", err, ctx.Data["MsgID"])
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.error.dataset_select"), tplCloudBrainBenchmarkNew, nil)
		return
	}
	command, err := getGpuModelSafetyCommand(BootFile, Params, CkptName, displayJobName)
	if err != nil {
		log.Error("Get Command failed: %v", err, ctx.Data["MsgID"])
		modelSafetyNewDataPrepare(ctx)
		//ctx.RenderWithErr(ctx.Tr("cloudbrain.error.dataset_select"), tplCloudBrainBenchmarkNew, nil) TODO
		return
	}
	log.Info("Command=" + command)

	req := cloudbrain.GenerateCloudBrainTaskReq{
		Ctx:              ctx,
		DisplayJobName:   displayJobName,
		JobName:          jobName,
		Image:            image,
		Command:          command,
		Uuids:            uuid,
		DatasetNames:     datasetNames,
		DatasetInfos:     datasetInfos,
		CodePath:         storage.GetMinioPath(jobName, cloudbrain.CodeMountPath+"/"),
		ModelPath:        setting.Attachment.Minio.RealPath + TrainUrl,
		BenchmarkPath:    storage.GetMinioPath(jobName, cloudbrain.BenchMarkMountPath+"/"),
		Snn4ImageNetPath: storage.GetMinioPath(jobName, cloudbrain.Snn4imagenetMountPath+"/"),
		BrainScorePath:   storage.GetMinioPath(jobName, cloudbrain.BrainScoreMountPath+"/"),
		JobType:          string(models.JobTypeModelSafety),
		Description:      description,
		BranchName:       cloudbrain.DefaultBranchName,
		BootFile:         BootFile,
		Params:           Params,
		CommitID:         "",
		ModelName:        modelName,
		ModelVersion:     modelVersion,
		CkptName:         CkptName,
		ResultPath:       storage.GetMinioPath(jobName, cloudbrain.ResultPath+"/"),
		Spec:             spec,
		LabelName:        evaluationIndex,
	}

	err = cloudbrain.GenerateTask(req)
	if err != nil {
		modelSafetyNewDataPrepare(ctx)
		ctx.RenderWithErr(err.Error(), tplCloudBrainBenchmarkNew, nil)
		return
	}
	//ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/cloudbrain/modelsafety_test")
}

func getGpuModelSafetyCommand(BootFile string, params string, CkptName string, DisplayJobName string) (string, error) {
	var command string
	bootFile := strings.TrimSpace(BootFile)

	if !strings.HasSuffix(bootFile, ".py") {
		log.Error("bootFile(%s) format error", bootFile)
		return command, errors.New("bootFile format error")
	}

	var parameters models.Parameters
	var param string
	if len(params) != 0 {
		err := json.Unmarshal([]byte(params), &parameters)
		if err != nil {
			log.Error("Failed to Unmarshal params: %s (%v)", params, err)
			return command, err
		}

		for _, parameter := range parameters.Parameter {
			param += " --" + parameter.Label + "=" + parameter.Value
		}
	}

	param += " --ckpt_url=" + cloudbrain.ModelMountPath + "/" + CkptName

	command += "python /code/" + bootFile + param + " > " + cloudbrain.ResultPath + "/" + DisplayJobName + "-" + cloudbrain.LogFile

	return command, nil
}

func modelSafetyNewDataPrepare(ctx *context.Context) error {
	ctx.Data["PageIsCloudBrain"] = true
	ctx.Data["type"] = ctx.QueryInt("type")
	ctx.Data["boot_file"] = ctx.Query("boot_file")
	ctx.Data["display_job_name"] = ctx.Query("display_job_name")
	ctx.Data["description"] = ctx.Query("description")
	ctx.Data["image"] = strings.TrimSpace(ctx.Query("image"))
	ctx.Data["src_dataset"] = ctx.Query("src_dataset")       //uuid
	ctx.Data["combat_dataset"] = ctx.Query("combat_dataset") //uuid
	ctx.Data["evaluationIndex"] = ctx.Query("evaluation_index")
	ctx.Data["run_para_list"] = ctx.Query("run_para_list")
	ctx.Data["spec_id"] = ctx.QueryInt64("spec_id")
	ctx.Data["train_url"] = ctx.Query("train_url")
	ctx.Data["ckpt_name"] = ctx.Query("ckpt_name")

	ctx.Data["train_url"] = ctx.Query("train_url")
	ctx.Data["ckpt_name"] = ctx.Query("ckpt_name")
	ctx.Data["model_name"] = ctx.Query("model_name")
	ctx.Data["model_version"] = ctx.Query("model_version")

	if ctx.QueryInt("type") == models.TypeCloudBrainOne {
		ctx.Data["BaseDataSetName"] = setting.ModelSafetyTest.GPUBaseDataSetName
		ctx.Data["BaseDataSetUUID"] = setting.ModelSafetyTest.GPUBaseDataSetUUID
		ctx.Data["CombatDataSetName"] = setting.ModelSafetyTest.GPUCombatDataSetName
		ctx.Data["CombatDataSetUUID"] = setting.ModelSafetyTest.GPUCombatDataSetUUID
	} else {
		ctx.Data["BaseDataSetName"] = setting.ModelSafetyTest.NPUBaseDataSetName
		ctx.Data["BaseDataSetUUID"] = setting.ModelSafetyTest.NPUBaseDataSetUUID
		ctx.Data["CombatDataSetName"] = setting.ModelSafetyTest.NPUCombatDataSetName
		ctx.Data["CombatDataSetUUID"] = setting.ModelSafetyTest.NPUCombatDataSetUUID
	}

	prepareCloudbrainOneSpecs(ctx)

	prepareCloudbrainTwoInferenceSpecs(ctx)

	return nil
}

func getJsonContent(url string) (string, error) {

	resp, err := http.Get(url)
	if err != nil || resp.StatusCode != 200 {
		log.Info("Get organizations url error=" + err.Error())
		return "", err
	}
	bytes, err := ioutil.ReadAll(resp.Body)
	resp.Body.Close()
	if err != nil {
		log.Info("Get organizations url error=" + err.Error())
		return "", err
	}
	str := string(bytes)
	//log.Info("json str =" + str)

	return str, nil
}