aiforge/routers/repo/grampus.go

package repo

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

	"code.gitea.io/gitea/modules/urfs_client/urchin"
	"code.gitea.io/gitea/routers/response"

	"code.gitea.io/gitea/services/cloudbrain/cloudbrainTask"

	"code.gitea.io/gitea/modules/dataset"

	"code.gitea.io/gitea/services/cloudbrain/resource"

	"code.gitea.io/gitea/services/reward/point/account"

	"code.gitea.io/gitea/modules/auth"
	"code.gitea.io/gitea/modules/git"
	"code.gitea.io/gitea/modules/grampus"
	"code.gitea.io/gitea/modules/modelarts"
	"code.gitea.io/gitea/modules/notification"
	"code.gitea.io/gitea/modules/redis/redis_key"
	"code.gitea.io/gitea/modules/redis/redis_lock"
	"code.gitea.io/gitea/modules/timeutil"
	"code.gitea.io/gitea/modules/util"
	"github.com/unknwon/com"

	"code.gitea.io/gitea/models"
	"code.gitea.io/gitea/modules/base"
	"code.gitea.io/gitea/modules/cloudbrain"
	"code.gitea.io/gitea/modules/context"
	"code.gitea.io/gitea/modules/log"
	"code.gitea.io/gitea/modules/setting"
	cloudbrainService "code.gitea.io/gitea/services/cloudbrain"
)

const (
	tplGrampusTrainJobShow base.TplName = "repo/grampus/trainjob/show"

	//GPU
	tplGrampusTrainJobGPUNew base.TplName = "repo/grampus/trainjob/gpu/new"

	//NPU
	tplGrampusTrainJobNPUNew base.TplName = "repo/grampus/trainjob/npu/new"
)

func GrampusTrainJobGPUNew(ctx *context.Context) {
	ctx.Data["IsCreate"] = true
	err := grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
	if err != nil {
		ctx.ServerError("get new train-job info failed", err)
		return
	}

	ctx.HTML(http.StatusOK, tplGrampusTrainJobGPUNew)
}

func GrampusTrainJobNPUNew(ctx *context.Context) {
	ctx.Data["IsCreate"] = true
	err := grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
	if err != nil {
		ctx.ServerError("get new train-job info failed", err)
		return
	}
	ctx.HTML(200, tplGrampusTrainJobNPUNew)
}

func grampusTrainJobNewDataPrepare(ctx *context.Context, processType string) error {
	ctx.Data["PageIsCloudBrain"] = true

	t := time.Now()
	var displayJobName = jobNamePrefixValid(cutString(ctx.User.Name, 5)) + t.Format("2006010215") + strconv.Itoa(int(t.Unix()))[5:]
	ctx.Data["display_job_name"] = displayJobName

	//get valid images
	images, err := grampus.GetImages(processType)
	if err != nil {
		log.Error("GetImages failed:", err.Error())
	} else {
		ctx.Data["images"] = images.Infos
	}

	grampus.InitSpecialPool()

	ctx.Data["GPUEnabled"] = true
	ctx.Data["NPUEnabled"] = true
	includeCenters := make(map[string]struct{})
	excludeCenters := make(map[string]struct{})
	if grampus.SpecialPools != nil {
		for _, pool := range grampus.SpecialPools.Pools {
			if pool.IsExclusive {
				if !IsUserInOrgPool(ctx.User.ID, pool) {
					ctx.Data[pool.Type+"Enabled"] = false
				}
			} else {
				if strings.Contains(strings.ToLower(processType), strings.ToLower(pool.Type)) {
					if IsUserInOrgPool(ctx.User.ID, pool) {
						for _, center := range pool.Pool {
							includeCenters[center.Queue] = struct{}{}
						}
					} else {
						for _, center := range pool.Pool {
							excludeCenters[center.Queue] = struct{}{}
						}

					}

				}

			}
		}
	}

	//prepare available specs
	if processType == grampus.ProcessorTypeNPU {
		prepareGrampusTrainSpecs(ctx, models.NPU)
	} else if processType == grampus.ProcessorTypeGPU {
		prepareGrampusTrainSpecs(ctx, models.GPU)
	}

	//get branches
	branches, _, err := ctx.Repo.GitRepo.GetBranches(0, 0)
	if err != nil {
		log.Error("GetBranches error:", err.Error())
	} else {
		ctx.Data["branches"] = branches
	}

	ctx.Data["branchName"] = ctx.Repo.BranchName

	if processType == grampus.ProcessorTypeGPU {
		ctx.Data["datasetType"] = models.TypeCloudBrainOne
		waitCount := cloudbrain.GetWaitingCloudbrainCount(models.TypeC2Net, models.GPUResource, models.JobTypeTrain)
		ctx.Data["WaitCount"] = waitCount
		NotStopTaskCount, _ := cloudbrainTask.GetNotFinalStatusTaskCount(ctx.User.ID, models.TypeC2Net, string(models.JobTypeTrain), models.GPUResource)
		ctx.Data["NotStopTaskCount"] = NotStopTaskCount

	} else if processType == grampus.ProcessorTypeNPU {
		ctx.Data["datasetType"] = models.TypeCloudBrainTwo
		waitCount := cloudbrain.GetWaitingCloudbrainCount(models.TypeC2Net, models.NPUResource, models.JobTypeTrain)
		ctx.Data["WaitCount"] = waitCount
		NotStopTaskCount, _ := cloudbrainTask.GetNotFinalStatusTaskCount(ctx.User.ID, models.TypeC2Net, string(models.JobTypeTrain), models.NPUResource)
		ctx.Data["NotStopTaskCount"] = NotStopTaskCount
	}

	if ctx.Cloudbrain != nil {
		uuids, datasetNames := dataset.GetFilterDeletedAttachments(ctx.Cloudbrain.Uuid)
		ctx.Data["attachment"] = uuids
		ctx.Data["boot_file"] = ctx.Cloudbrain.BootFile
		ctx.Data["image_id"] = ctx.Cloudbrain.ImageID
		ctx.Data["run_para_list"] = ctx.Cloudbrain.Parameters
		ctx.Data["description"] = ctx.Cloudbrain.Description
		ctx.Data["branch_name"] = ctx.Cloudbrain.BranchName
		ctx.Data["engine_name"] = ctx.Cloudbrain.EngineName
		ctx.Data["work_server_number"] = ctx.Cloudbrain.WorkServerNumber
		if ctx.Cloudbrain.Image != "" {
			ctx.Data["image"] = ctx.Cloudbrain.Image
		} else {
			ctx.Data["image"] = ctx.Cloudbrain.EngineName
		}
		ctx.Data["dataset_name"] = datasetNames
		ctx.Data["model_name"] = ctx.Cloudbrain.ModelName

		ctx.Data["model_version"] = ctx.Cloudbrain.ModelVersion
		ctx.Data["ckpt_name"] = ctx.Cloudbrain.CkptName
		ctx.Data["label_names"] = ctx.Cloudbrain.LabelName
		ctx.Data["pre_train_model_url"] = ctx.Cloudbrain.PreTrainModelUrl
		spec, _ := resource.GetCloudbrainSpec(ctx.Cloudbrain.ID)
		if spec != nil {
			ctx.Data["spec_id"] = spec.ID
		}

	}
	return nil
}

func GrampusTrainJobVersionNew(ctx *context.Context) {
	task := ctx.Cloudbrain
	ctx.Data["IsCreate"] = false
	if task.ComputeResource == models.GPUResource {
		err := grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		if err != nil {
			ctx.ServerError("get new train-job version info failed", err)
			return
		}
		ctx.HTML(http.StatusOK, tplGrampusTrainJobGPUNew)
	} else if task.ComputeResource == models.NPUResource {
		err := grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		if err != nil {
			ctx.ServerError("get new train-job version info failed", err)
			return
		}
		ctx.HTML(200, tplGrampusTrainJobNPUNew)
	}
}

func prepareGrampusTrainSpecs(ctx *context.Context, computeResource string) {
	noteBookSpecs, _ := resource.FindAvailableSpecs(ctx.User.ID, models.FindSpecsOptions{
		JobType:         models.JobTypeTrain,
		ComputeResource: computeResource,
		Cluster:         models.C2NetCluster,
	})
	ctx.Data["Specs"] = noteBookSpecs
}

func getFilterSpecBySpecialPool(specs *models.GetGrampusResourceSpecsResult, includeCenters map[string]struct{}, excludeCenters map[string]struct{}) []models.GrampusSpec {
	if len(includeCenters) == 0 && len(excludeCenters) == 0 {
		return specs.Infos
	}
	var grampusSpecs []models.GrampusSpec
	for _, info := range specs.Infos {
		if isInIncludeCenters(info, includeCenters) || (len(excludeCenters) != 0 && isNotAllInExcludeCenters(info, excludeCenters)) {
			grampusSpecs = append(grampusSpecs, info)
		}

	}
	return grampusSpecs
}

func isInIncludeCenters(grampusSpec models.GrampusSpec, centers map[string]struct{}) bool {
	for _, center := range grampusSpec.Centers {
		if _, ok := centers[center.ID]; ok {
			return true
		}
	}
	return false
}
func isNotAllInExcludeCenters(grampusSpec models.GrampusSpec, centers map[string]struct{}) bool {
	for _, center := range grampusSpec.Centers {
		if _, ok := centers[center.ID]; !ok {
			return true
		}
	}
	return false
}

func IsUserInOrgPool(userId int64, pool *models.SpecialPool) bool {
	org, _ := models.GetOrgByName(pool.Org)
	if org != nil {
		isOrgMember, _ := models.IsOrganizationMember(org.ID, userId)
		return isOrgMember
	}
	return false
}

func grampusParamCheckCreateTrainJob(form auth.CreateGrampusTrainJobForm) error {
	if !strings.HasSuffix(strings.TrimSpace(form.BootFile), ".py") {
		log.Error("the boot file(%s) must be a python file", form.BootFile)
		return errors.New("启动文件必须是python文件")
	}

	if form.BranchName == "" {
		log.Error("the branch must not be null!", form.BranchName)
		return errors.New("代码分支不能为空！")
	}

	return nil
}

func GrampusTrainJobGpuCreate(ctx *context.Context, form auth.CreateGrampusTrainJobForm) {
	ctx.Data["IsCreate"] = true
	grampusTrainJobGpuCreate(ctx, form)
}

func grampusTrainJobGpuCreate(ctx *context.Context, form auth.CreateGrampusTrainJobForm) {

	displayJobName := form.DisplayJobName
	jobName := util.ConvertDisplayJobNameToJobName(displayJobName)
	uuid := form.Attachment
	description := form.Description
	bootFile := strings.TrimSpace(form.BootFile)
	params := form.Params
	repo := ctx.Repo.Repository
	codeLocalPath := setting.JobPath + jobName + cloudbrain.CodeMountPath + "/"
	codeMinioPath := setting.CBCodePathPrefix + jobName + cloudbrain.CodeMountPath + "/"
	branchName := form.BranchName
	image := strings.TrimSpace(form.Image)
	tpl := tplGrampusTrainJobGPUNew

	lock := redis_lock.NewDistributeLock(redis_key.CloudbrainBindingJobNameKey(fmt.Sprint(repo.ID), string(models.JobTypeTrain), displayJobName))
	isOk, err := lock.Lock(models.CloudbrainKeyDuration)
	if !isOk {
		log.Error("lock processed failed:%v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_samejob_err"), tplGrampusTrainJobGPUNew, &form)
		return
	}
	defer lock.UnLock()

	if !jobNamePattern.MatchString(displayJobName) {
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_jobname_err"), tpl, &form)
		return
	}

	bootFileExist, err := ctx.Repo.FileExists(bootFile, branchName)
	if err != nil || !bootFileExist {
		log.Error("Get bootfile error:", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_bootfile_err"), tpl, &form)
		return
	}

	//check count limit
	count, err := cloudbrainTask.GetNotFinalStatusTaskCount(ctx.User.ID, models.TypeC2Net, string(models.JobTypeTrain), models.GPUResource)
	if err != nil {
		log.Error("GetGrampusCountByUserID failed:%v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr("system error", tpl, &form)
		return
	} else {
		if count >= 1 {
			log.Error("the user already has running or waiting task", ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
			ctx.RenderWithErr("you have already a running or waiting task, can not create more", tpl, &form)
			return
		}
	}

	//check param
	if err := grampusParamCheckCreateTrainJob(form); err != nil {
		log.Error("paramCheckCreateTrainJob failed:(%v)", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(err.Error(), tpl, &form)
		return
	}

	//check whether the task name in the project is duplicated
	tasks, err := models.GetCloudbrainsByDisplayJobName(repo.ID, string(models.JobTypeTrain), displayJobName)
	if err == nil {
		if len(tasks) != 0 {
			log.Error("the job name did already exist", ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
			ctx.RenderWithErr("the job name did already exist", tpl, &form)
			return
		}
	} else {
		if !models.IsErrJobNotExist(err) {
			log.Error("system error, %v", err, ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
			ctx.RenderWithErr("system error", tpl, &form)
			return
		}
	}

	//check specification
	spec, err := resource.GetAndCheckSpec(ctx.User.ID, form.SpecId, models.FindSpecsOptions{
		JobType:         models.JobTypeTrain,
		ComputeResource: models.GPU,
		Cluster:         models.C2NetCluster,
	})
	if err != nil || spec == nil {
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr("Resource specification not available", tpl, &form)
		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)
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("points.insufficient_points_balance"), tplGrampusTrainJobGPUNew, &form)
		return
	}

	//check dataset

	datasetInfos, datasetNames, err := models.GetDatasetInfo(uuid, models.GPU)
	if err != nil {
		log.Error("GetDatasetInfo failed: %v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.error.dataset_select"), tpl, &form)
		return
	}

	//prepare code and out path
	_, err = ioutil.ReadDir(codeLocalPath)
	if err == nil {
		os.RemoveAll(codeLocalPath)
	}

	if err := downloadZipCode(ctx, codeLocalPath, branchName); err != nil {
		log.Error("downloadZipCode failed, server timed out: %s (%v)", repo.FullName(), err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

	//todo: upload code (send to file_server todo this work?)
	//upload code
	if err := uploadCodeToMinio(codeLocalPath+"/", jobName, cloudbrain.CodeMountPath+"/"); err != nil {
		log.Error("Failed to uploadCodeToMinio: %s (%v)", repo.FullName(), err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

	modelPath := setting.JobPath + jobName + cloudbrain.ModelMountPath + "/"
	if err := mkModelPath(modelPath); err != nil {
		log.Error("Failed to mkModelPath: %s (%v)", repo.FullName(), err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

	//init model readme
	if err := uploadCodeToMinio(modelPath, jobName, cloudbrain.ModelMountPath+"/"); err != nil {
		log.Error("Failed to uploadCodeToMinio: %s (%v)", repo.FullName(), err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

	var datasetRemotePath, allFileName string
	for _, datasetInfo := range datasetInfos {
		if datasetRemotePath == "" {
			datasetRemotePath = datasetInfo.DataLocalPath
			allFileName = datasetInfo.FullName
		} else {
			datasetRemotePath = datasetRemotePath + ";" + datasetInfo.DataLocalPath
			allFileName = allFileName + ";" + datasetInfo.FullName
		}

	}

	//prepare command
	preTrainModelPath := getPreTrainModelPath(form.PreTrainModelUrl, form.CkptName)

	command, err := generateCommand(repo.Name, grampus.ProcessorTypeGPU, codeMinioPath+cloudbrain.DefaultBranchName+".zip", datasetRemotePath, bootFile, params, setting.CBCodePathPrefix+jobName+cloudbrain.ModelMountPath+"/", allFileName, preTrainModelPath, form.CkptName, "")
	if err != nil {
		log.Error("Failed to generateCommand: %s (%v)", displayJobName, err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr("Create task failed, internal error", tpl, &form)
		return
	}

	commitID, _ := ctx.Repo.GitRepo.GetBranchCommitID(branchName)

	req := &grampus.GenerateTrainJobReq{
		JobName:         jobName,
		DisplayJobName:  displayJobName,
		ComputeResource: models.GPUResource,
		ProcessType:     grampus.ProcessorTypeGPU,
		Command:         command,
		ImageUrl:        image,
		Description:     description,
		BootFile:        bootFile,
		Uuid:            uuid,
		CommitID:        commitID,
		BranchName:      branchName,
		Params:          form.Params,
		EngineName:      image,
		DatasetNames:    datasetNames,
		DatasetInfos:    datasetInfos,

		IsLatestVersion:  modelarts.IsLatestVersion,
		VersionCount:     modelarts.VersionCountOne,
		WorkServerNumber: 1,
		Spec:             spec,
	}

	if form.ModelName != "" { //使用预训练模型训练
		req.ModelName = form.ModelName
		req.LabelName = form.LabelName
		req.CkptName = form.CkptName
		req.ModelVersion = form.ModelVersion
		req.PreTrainModelUrl = form.PreTrainModelUrl

	}

	_, err = grampus.GenerateTrainJob(ctx, req)
	if err != nil {
		log.Error("GenerateTrainJob failed:%v", err.Error(), ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeGPU)
		ctx.RenderWithErr(err.Error(), tpl, &form)
		return
	}
	ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/modelarts/train-job")
}

func getPreTrainModelPath(pretrainModelDir string, fileName string) string {
	index := strings.Index(pretrainModelDir, "/")
	if index > 0 {
		filterBucket := pretrainModelDir[index+1:]
		return filterBucket + fileName
	} else {
		return ""
	}

}

func GrampusTrainJobVersionCreate(ctx *context.Context, form auth.CreateGrampusTrainJobForm) {
	ctx.Data["IsCreate"] = false
	computeResource := ctx.Query("compute_resource")
	if computeResource == models.GPUResource {
		grampusTrainJobGpuCreate(ctx, form)
	} else if computeResource == models.NPUResource {
		grampusTrainJobNpuCreate(ctx, form)
	} else {
		ctx.ServerError("resource error", errors.New("compute resource is not support"))
		return
	}

}

func GrampusTrainJobNpuCreate(ctx *context.Context, form auth.CreateGrampusTrainJobForm) {
	ctx.Data["IsCreate"] = true
	grampusTrainJobNpuCreate(ctx, form)
}

func grampusTrainJobNpuCreate(ctx *context.Context, form auth.CreateGrampusTrainJobForm) {

	displayJobName := form.DisplayJobName
	jobName := util.ConvertDisplayJobNameToJobName(displayJobName)
	uuid := form.Attachment
	description := form.Description
	bootFile := strings.TrimSpace(form.BootFile)
	params := form.Params
	repo := ctx.Repo.Repository
	codeLocalPath := setting.JobPath + jobName + modelarts.CodePath
	codeObsPath := grampus.JobPath + jobName + modelarts.CodePath
	//dataObsPath := setting.BasePath + path.Join(uuid[0:1], uuid[1:2]) + "/" + uuid + "/"
	branchName := form.BranchName
	isLatestVersion := modelarts.IsLatestVersion
	versionCount := modelarts.VersionCountOne
	engineName := form.EngineName
	tpl := tplGrampusTrainJobNPUNew

	lock := redis_lock.NewDistributeLock(redis_key.CloudbrainBindingJobNameKey(fmt.Sprint(repo.ID), string(models.JobTypeTrain), displayJobName))
	isOk, err := lock.Lock(models.CloudbrainKeyDuration)
	if !isOk {
		log.Error("lock processed failed:%v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_samejob_err"), tplGrampusTrainJobNPUNew, &form)
		return
	}
	defer lock.UnLock()

	if !jobNamePattern.MatchString(displayJobName) {
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_jobname_err"), tpl, &form)
		return
	}

	bootFileExist, err := ctx.Repo.FileExists(bootFile, branchName)
	if err != nil || !bootFileExist {
		log.Error("Get bootfile error:", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("repo.cloudbrain_bootfile_err"), tpl, &form)
		return
	}

	//check count limit
	count, err := cloudbrainTask.GetNotFinalStatusTaskCount(ctx.User.ID, models.TypeC2Net, string(models.JobTypeTrain), models.NPUResource)
	if err != nil {
		log.Error("GetGrampusCountByUserID failed:%v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr("system error", tpl, &form)
		return
	} else {
		if count >= 1 {
			log.Error("the user already has running or waiting task", ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
			ctx.RenderWithErr("you have already a running or waiting task, can not create more", tpl, &form)
			return
		}
	}

	//check param
	if err := grampusParamCheckCreateTrainJob(form); err != nil {
		log.Error("paramCheckCreateTrainJob failed:(%v)", err)
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(err.Error(), tpl, &form)
		return
	}

	//check whether the task name in the project is duplicated
	tasks, err := models.GetCloudbrainsByDisplayJobName(repo.ID, string(models.JobTypeTrain), displayJobName)
	if err == nil {
		if len(tasks) != 0 {
			log.Error("the job name did already exist", ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
			ctx.RenderWithErr("the job name did already exist", tpl, &form)
			return
		}
	} else {
		if !models.IsErrJobNotExist(err) {
			log.Error("system error, %v", err, ctx.Data["MsgID"])
			grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
			ctx.RenderWithErr("system error", tpl, &form)
			return
		}
	}

	//check specification
	spec, err := resource.GetAndCheckSpec(ctx.User.ID, form.SpecId, models.FindSpecsOptions{
		JobType:         models.JobTypeTrain,
		ComputeResource: models.NPU,
		Cluster:         models.C2NetCluster,
	})
	if err != nil || spec == nil {
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr("Resource specification not available", tpl, &form)
		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)
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("points.insufficient_points_balance"), tplGrampusTrainJobNPUNew, &form)
		return
	}

	//check dataset
	datasetInfos, datasetNames, err := models.GetDatasetInfo(uuid, models.NPU)
	if err != nil {
		log.Error("GetDatasetInfo failed: %v", err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.error.dataset_select"), tpl, &form)
		return
	}

	//prepare code and out path
	_, err = ioutil.ReadDir(codeLocalPath)
	if err == nil {
		os.RemoveAll(codeLocalPath)
	}

	if err := downloadZipCode(ctx, codeLocalPath, branchName); err != nil {
		log.Error("downloadZipCode failed, server timed out: %s (%v)", repo.FullName(), err)
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

	//todo: upload code (send to file_server todo this work?)
	if err := obsMkdir(setting.CodePathPrefix + jobName + modelarts.OutputPath); err != nil {
		log.Error("Failed to obsMkdir_output: %s (%v)", repo.FullName(), err)
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(ctx.Tr("cloudbrain.load_code_failed"), tpl, &form)
		return
	}

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

	var datasetRemotePath, allFileName string
	for _, datasetInfo := range datasetInfos {
		if datasetRemotePath == "" {
			datasetRemotePath = datasetInfo.DataLocalPath + "'" + datasetInfo.FullName + "'"
			allFileName = datasetInfo.FullName
		} else {
			datasetRemotePath = datasetRemotePath + ";" + datasetInfo.DataLocalPath + "'" + datasetInfo.FullName + "'"
			allFileName = allFileName + ";" + datasetInfo.FullName
		}

	}

	//prepare command
	preTrainModelPath := getPreTrainModelPath(form.PreTrainModelUrl, form.CkptName)
	command, err := generateCommand(repo.Name, grampus.ProcessorTypeNPU, codeObsPath+cloudbrain.DefaultBranchName+".zip", datasetRemotePath, bootFile, params, setting.CodePathPrefix+jobName+modelarts.OutputPath, allFileName, preTrainModelPath, form.CkptName, grampus.GetNpuModelRemoteObsUrl(jobName))
	if err != nil {
		log.Error("Failed to generateCommand: %s (%v)", displayJobName, err, ctx.Data["MsgID"])
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr("Create task failed, internal error", tpl, &form)
		return
	}

	commitID, _ := ctx.Repo.GitRepo.GetBranchCommitID(branchName)

	req := &grampus.GenerateTrainJobReq{
		JobName:           jobName,
		DisplayJobName:    displayJobName,
		ComputeResource:   models.NPUResource,
		ProcessType:       grampus.ProcessorTypeNPU,
		Command:           command,
		ImageId:           form.ImageID,
		Description:       description,
		CodeObsPath:       codeObsPath,
		BootFileUrl:       codeObsPath + bootFile,
		BootFile:          bootFile,
		WorkServerNumber:  form.WorkServerNumber,
		Uuid:              uuid,
		CommitID:          commitID,
		IsLatestVersion:   isLatestVersion,
		BranchName:        branchName,
		Params:            form.Params,
		EngineName:        engineName,
		VersionCount:      versionCount,
		TotalVersionCount: modelarts.TotalVersionCount,
		DatasetNames:      datasetNames,
		DatasetInfos:      datasetInfos,
		Spec:              spec,
		CodeName:          strings.ToLower(repo.Name),
	}
	if form.ModelName != "" { //使用预训练模型训练
		req.ModelName = form.ModelName
		req.LabelName = form.LabelName
		req.CkptName = form.CkptName
		req.ModelVersion = form.ModelVersion
		req.PreTrainModelUrl = form.PreTrainModelUrl
		req.PreTrainModelPath = preTrainModelPath
	}

	_, err = grampus.GenerateTrainJob(ctx, req)
	if err != nil {
		log.Error("GenerateTrainJob failed:%v", err.Error())
		grampusTrainJobNewDataPrepare(ctx, grampus.ProcessorTypeNPU)
		ctx.RenderWithErr(err.Error(), tpl, &form)
		return
	}
	ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/modelarts/train-job")
}

func GrampusStopJob(ctx *context.Context) {
	var ID = ctx.Params(":jobid")
	var resultCode = "0"
	var errorMsg = ""
	var status = ""

	task := ctx.Cloudbrain
	for {
		if task.Status == string(models.GrampusStatusStopped) || task.Status == string(models.GrampusStatusFailed) || task.Status == string(models.GrampusStatusSucceeded) {
			log.Error("the job(%s) has been stopped", task.JobName, ctx.Data["msgID"])
			resultCode = "-1"
			errorMsg = "system error"
			break
		}

		res, err := grampus.StopJob(task.JobID)
		if err != nil {
			log.Error("StopJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
			resultCode = strconv.Itoa(res.ErrorCode)
			errorMsg = res.ErrorMsg
			break
		}
		oldStatus := task.Status
		task.Status = string(models.GrampusStatusStopped)
		if task.EndTime == 0 {
			task.EndTime = timeutil.TimeStampNow()
		}
		task.ComputeAndSetDuration()
		if oldStatus != task.Status {
			notification.NotifyChangeCloudbrainStatus(task, oldStatus)
		}
		err = models.UpdateJob(task)
		if err != nil {
			log.Error("UpdateJob(%s) failed:%v", task.JobName, err, ctx.Data["msgID"])
			resultCode = "-1"
			errorMsg = "system error"
			break
		}

		status = task.Status
		break
	}

	ctx.JSON(200, map[string]interface{}{
		"result_code": resultCode,
		"error_msg":   errorMsg,
		"status":      status,
		"id":          ID,
		"StatusOK":    0,
	})
}

func GrampusTrainJobDel(ctx *context.Context) {
	var listType = ctx.Query("listType")
	if err := deleteGrampusJob(ctx); err != nil {
		log.Error("deleteGrampusJob failed: %v", err, ctx.Data["msgID"])
		ctx.ServerError(err.Error(), err)
		return
	}

	var isAdminPage = ctx.Query("isadminpage")
	var isHomePage = ctx.Query("ishomepage")
	if ctx.IsUserSiteAdmin() && isAdminPage == "true" {
		ctx.Redirect(setting.AppSubURL + "/admin" + "/cloudbrains")
	} else if isHomePage == "true" {
		ctx.Redirect(setting.AppSubURL + "/cloudbrains")
	} else {
		ctx.Redirect(setting.AppSubURL + ctx.Repo.RepoLink + "/modelarts/train-job?listType=" + listType)
	}
}

func deleteGrampusJob(ctx *context.Context) error {
	task := ctx.Cloudbrain

	if task.Status != string(models.GrampusStatusStopped) && task.Status != string(models.GrampusStatusSucceeded) && task.Status != string(models.GrampusStatusFailed) {
		log.Error("the job(%s) has not been stopped", task.JobName, ctx.Data["msgID"])
		return errors.New("the job has not been stopped")
	}

	err := models.DeleteJob(task)
	if err != nil {
		log.Error("DeleteJob failed: %v", err, ctx.Data["msgID"])
		return err
	}

	storageType := models.TypeCloudBrainOne
	if task.ComputeResource == models.NPUResource {
		storageType = models.TypeCloudBrainTwo
	}
	DeleteCloudbrainJobStorage(task.JobName, storageType)

	return nil
}

func GrampusTrainJobShow(ctx *context.Context) {
	ctx.Data["PageIsCloudBrain"] = true

	var task *models.Cloudbrain
	task, err := models.GetCloudbrainByJobIDWithDeleted(ctx.Params(":jobid"))
	if err != nil {
		log.Error("GetCloudbrainByJobID failed:" + err.Error())
		ctx.NotFound(ctx.Req.URL.RequestURI(), nil)
		return
	}
	task.ContainerIp = ""

	if task.DeletedAt.IsZero() { //normal record
		result, err := grampus.GetJob(task.JobID)
		if err != nil {
			log.Error("GetJob failed:" + err.Error())
			ctx.NotFound(ctx.Req.URL.RequestURI(), nil)
			return
		}

		if result != nil {
			if len(result.JobInfo.Tasks[0].CenterID) == 1 && len(result.JobInfo.Tasks[0].CenterName) == 1 {
				task.AiCenter = result.JobInfo.Tasks[0].CenterID[0] + "+" + result.JobInfo.Tasks[0].CenterName[0]
			}
			oldStatus := task.Status
			task.Status = grampus.TransTrainJobStatus(result.JobInfo.Status)
			if task.Status != oldStatus || task.Status == models.GrampusStatusRunning {
				task.Duration = result.JobInfo.RunSec
				if task.Duration < 0 {
					task.Duration = 0
				}
				task.TrainJobDuration = models.ConvertDurationToStr(task.Duration)

				if task.StartTime == 0 && result.JobInfo.StartedAt > 0 {
					task.StartTime = timeutil.TimeStamp(result.JobInfo.StartedAt)
				}
				if task.EndTime == 0 && models.IsTrainJobTerminal(task.Status) && task.StartTime > 0 {
					task.EndTime = task.StartTime.Add(task.Duration)
				}
				task.CorrectCreateUnix()
				if oldStatus != task.Status {
					notification.NotifyChangeCloudbrainStatus(task, oldStatus)
					if models.IsTrainJobTerminal(task.Status) && task.ComputeResource == models.NPUResource {
						if len(result.JobInfo.Tasks[0].CenterID) == 1 {
							urchin.GetBackNpuModel(task.ID, grampus.GetRemoteEndPoint(result.JobInfo.Tasks[0].CenterID[0]), grampus.BucketRemote, grampus.GetNpuModelObjectKey(task.JobName), grampus.GetCenterProxy(setting.Grampus.LocalCenterID))
						}
					}
				}
			}
			err = models.UpdateJob(task)
			if err != nil {
				log.Error("UpdateJob failed:" + err.Error())
			}
		}
	}

	if len(task.Parameters) > 0 {
		var parameters models.Parameters
		err := json.Unmarshal([]byte(task.Parameters), &parameters)
		if err != nil {
			log.Error("Failed to Unmarshal Parameters: %s (%v)", task.Parameters, err)
			ctx.ServerError("system error", err)
			return
		}

		if len(parameters.Parameter) > 0 {
			paramTemp := ""
			for _, Parameter := range parameters.Parameter {
				param := Parameter.Label + " = " + Parameter.Value + "; "
				paramTemp = paramTemp + param
			}
			task.Parameters = paramTemp[:len(paramTemp)-2]
		} else {
			task.Parameters = ""
		}
	}

	taskList := make([]*models.Cloudbrain, 0)
	taskList = append(taskList, task)
	prepareSpec4Show(ctx, task)
	ctx.Data["version_list_task"] = taskList
	ctx.Data["datasetDownload"] = GetCloudBrainDataSetInfo(task.Uuid, task.DatasetName, false)
	ctx.Data["canDownload"] = cloudbrain.CanModifyJob(ctx, task)
	ctx.Data["displayJobName"] = task.DisplayJobName

	ctx.Data["ai_center"] = cloudbrainService.GetAiCenterShow(task.AiCenter, ctx)

	ctx.HTML(http.StatusOK, tplGrampusTrainJobShow)
}

func GrampusDownloadLog(ctx *context.Context) {
	jobID := ctx.Params(":jobid")
	job, err := models.GetCloudbrainByJobID(jobID)
	if err != nil {
		log.Error("GetCloudbrainByJobID failed: %v", err, ctx.Data["MsgID"])
		ctx.ServerError(err.Error(), err)
		return
	}

	content, err := grampus.GetTrainJobLog(job.JobID)
	if err != nil {
		log.Error("GetTrainJobLog failed: %v", err, ctx.Data["MsgID"])
		content = ""
	}
	fileName := job.JobName + "-log.txt"
	ctx.Resp.Header().Set("Content-Disposition", "attachment; filename="+fileName)
	ctx.Resp.Header().Set("Content-Type", "application/octet-stream")
	var b []byte = []byte(content)
	ctx.Resp.Write(b)
}

func GrampusGetLog(ctx *context.Context) {
	jobID := ctx.Params(":jobid")
	job, err := models.GetCloudbrainByJobID(jobID)
	if err != nil {
		log.Error("GetCloudbrainByJobID failed: %v", err, ctx.Data["MsgID"])
		ctx.ServerError(err.Error(), err)
		return
	}

	content, err := grampus.GetTrainJobLog(job.JobID)
	if err != nil {
		log.Error("GetTrainJobLog failed: %v", err, ctx.Data["MsgID"])
		ctx.JSON(http.StatusOK, map[string]interface{}{
			"JobName":        job.JobName,
			"Content":        "",
			"CanLogDownload": false,
		})
		return
	}
	canLogDownload := err == nil && job.IsUserHasRight(ctx.User)
	ctx.JSON(http.StatusOK, map[string]interface{}{
		"JobName":        job.JobName,
		"Content":        content,
		"CanLogDownload": canLogDownload,
	})

	return
}

func GrampusMetrics(ctx *context.Context) {
	jobID := ctx.Params(":jobid")
	job, err := models.GetCloudbrainByJobID(jobID)
	if err != nil {
		log.Error("GetCloudbrainByJobID failed: %v", err, ctx.Data["MsgID"])
		ctx.ServerError(err.Error(), err)
		return
	}

	result, err := grampus.GetGrampusMetrics(job.JobID)
	if err != nil {
		log.Error("GetTrainJobLog failed: %v", err, ctx.Data["MsgID"])
	}
	ctx.JSON(http.StatusOK, map[string]interface{}{
		"JobID":       jobID,
		"Interval":    result.Interval,
		"MetricsInfo": result.MetricsInfo,
	})

	return
}

func generateCommand(repoName, processorType, codeRemotePath, dataRemotePath, bootFile, paramSrc, outputRemotePath, datasetName, pretrainModelPath, pretrainModelFileName, modelRemoteObsUrl string) (string, error) {
	var command string

	//prepare
	workDir := grampus.NpuWorkDir
	if processorType == grampus.ProcessorTypeNPU {
		command += "pwd;cd " + workDir + grampus.CommandPrepareScriptNpu
	} else if processorType == grampus.ProcessorTypeGPU {
		workDir = grampus.GpuWorkDir
		command += "pwd;cd " + workDir + fmt.Sprintf(grampus.CommandPrepareScriptGpu, setting.Grampus.SyncScriptProject, setting.Grampus.SyncScriptProject)
	}

	//download code & dataset
	if processorType == grampus.ProcessorTypeNPU {
		//no need to download code & dataset by internet
	} else if processorType == grampus.ProcessorTypeGPU {
		commandDownload := "./downloader_for_minio " + setting.Grampus.Env + " " + codeRemotePath + " " + grampus.CodeArchiveName + " '" + dataRemotePath + "' '" + datasetName + "'"
		commandDownload = processPretrainModelParameter(pretrainModelPath, pretrainModelFileName, commandDownload)
		command += commandDownload
	}

	//unzip code & dataset
	if processorType == grampus.ProcessorTypeNPU {
		//no need to process
	} else if processorType == grampus.ProcessorTypeGPU {
		unZipDatasetCommand := cloudbrainTask.GenerateDatasetUnzipCommand(datasetName)
		commandUnzip := "cd " + workDir + "code;unzip -q master.zip;rm -f master.zip;echo \"start to unzip dataset\";cd " + workDir + "dataset;" + unZipDatasetCommand
		command += commandUnzip
	}

	command += "echo \"unzip finished;start to exec code;\";"

	// set export
	var commandExport string
	if processorType == grampus.ProcessorTypeNPU {
		commandExport = "export bucket=" + setting.Bucket + " && export remote_path=" + outputRemotePath + ";"
	} else if processorType == grampus.ProcessorTypeGPU {
		commandExport = "export env=" + setting.Grampus.Env + " && export remote_path=" + outputRemotePath + ";"
	}

	command += commandExport

	//exec code
	var parameters models.Parameters
	var paramCode string

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

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

	var commandCode string
	if processorType == grampus.ProcessorTypeNPU {
		paramCode += " --model_url=" + modelRemoteObsUrl
		commandCode = "/bin/bash /home/work/run_train_for_openi.sh /home/work/openi.py " + grampus.NpuLocalLogUrl + paramCode + ";"
	} else if processorType == grampus.ProcessorTypeGPU {
		if pretrainModelFileName != "" {
			paramCode += " --ckpt_url" + "=" + workDir + "pretrainmodel/" + pretrainModelFileName
		}
		commandCode = "cd " + workDir + "code/" + strings.ToLower(repoName) + ";python " + bootFile + paramCode + ";"
	}

	command += commandCode

	//get exec result
	commandGetRes := "result=$?;"
	command += commandGetRes

	//upload models
	if processorType == grampus.ProcessorTypeNPU {
		// no need to upload
	} else if processorType == grampus.ProcessorTypeGPU {
		commandUpload := "cd " + workDir + setting.Grampus.SyncScriptProject + "/;./uploader_for_gpu " + setting.Grampus.Env + " " + outputRemotePath + " " + workDir + "output/;"
		command += commandUpload
	}

	//check exec result
	commandCheckRes := "bash -c \"[[ $result -eq 0 ]] && exit 0 || exit -1\""
	command += commandCheckRes

	return command, nil
}

func processPretrainModelParameter(pretrainModelPath string, pretrainModelFileName string, commandDownload string) string {
	commandDownloadTemp := commandDownload
	if pretrainModelPath != "" {
		commandDownloadTemp += " '" + pretrainModelPath + "' '" + pretrainModelFileName + "'"
	}
	commandDownloadTemp += ";"
	return commandDownloadTemp
}

func downloadZipCode(ctx *context.Context, codePath, branchName string) error {
	archiveType := git.ZIP
	archivePath := codePath

	if !com.IsDir(archivePath) {
		if err := os.MkdirAll(archivePath, os.ModePerm); err != nil {
			log.Error("MkdirAll failed:" + err.Error())
			return err
		}
	}

	// Get corresponding commit.
	var (
		commit *git.Commit
		err    error
	)

	gitRepo := ctx.Repo.GitRepo
	if err != nil {
		log.Error("OpenRepository failed:" + err.Error())
		return err
	}

	if gitRepo.IsBranchExist(branchName) {
		commit, err = gitRepo.GetBranchCommit(branchName)
		if err != nil {
			log.Error("GetBranchCommit failed:" + err.Error())
			return err
		}
	} else {
		log.Error("the branch is not exist: " + branchName)
		return fmt.Errorf("The branch does not exist.")
	}

	archivePath = path.Join(archivePath, grampus.CodeArchiveName)
	if !com.IsFile(archivePath) {
		if err := commit.CreateArchive(archivePath, git.CreateArchiveOpts{
			Format: archiveType,
			Prefix: setting.Repository.PrefixArchiveFiles,
		}); err != nil {
			log.Error("CreateArchive failed:" + err.Error())
			return err
		}
	}

	return nil
}
func HandleTaskWithAiCenter(ctx *context.Context) {
	log.Info("HandleTaskWithAiCenter start")
	updateCounts := 0
	cloudBrains, err := models.GetC2NetWithAiCenterWrongJob()
	if err != nil {
		log.Error("GetC2NetWithAiCenterWrongJob failed:" + err.Error())
		return
	}
	if len(cloudBrains) == 0 {
		log.Info("HandleC2NetWithAiCenterWrongJob:no task need handle")
		return
	}
	cloudBrainCounts := len(cloudBrains)
	for _, task := range cloudBrains {
		result, err := grampus.GetJob(task.JobID)
		if err != nil {
			log.Error("GetJob failed:" + err.Error())
			continue
		}
		if result != nil {
			if len(result.JobInfo.Tasks[0].CenterID) == 1 && len(result.JobInfo.Tasks[0].CenterName) == 1 {
				task.AiCenter = result.JobInfo.Tasks[0].CenterID[0] + "+" + result.JobInfo.Tasks[0].CenterName[0]
			}
			err = models.UpdateJob(task)
			if err != nil {
				log.Error("UpdateJob failed:" + err.Error())
			}
			updateCounts++
		}
	}
	r := make(map[string]interface{}, 0)
	r["cloudBrainCounts"] = cloudBrainCounts
	r["updateCounts"] = updateCounts
	ctx.JSON(http.StatusOK, response.SuccessWithData(r))
}