aiforge/modules/grampus/grampus.go

package grampus

import (
	"fmt"
	"strings"

	"code.gitea.io/gitea/models"
	"code.gitea.io/gitea/modules/cloudbrain"
	"code.gitea.io/gitea/modules/context"
	"code.gitea.io/gitea/modules/log"
	"code.gitea.io/gitea/modules/notification"
	"code.gitea.io/gitea/modules/setting"
	"code.gitea.io/gitea/modules/timeutil"
)

const (
	JobPath = "job/"

	ProcessorTypeNPU = "npu.huawei.com/NPU"
	ProcessorTypeGPU = "nvidia.com/gpu"

	GpuWorkDir              = "/tmp/"
	NpuWorkDir              = "/cache/"
	NpuLocalLogUrl          = "/tmp/train.log"
	CommandPrepareScriptNpu = ";mkdir -p output;mkdir -p code;mkdir -p dataset;mkdir -p pretrainmodel;"

	CodeArchiveName = "master.zip"

	BucketRemote       = "grampus"
	RemoteModelPath    = "/output/" + models.ModelSuffix
	autoStopDurationMs = 4 * 60 * 60 * 1000
	CommandGpuDebug    = "mkdir -p /dataset;%s! [ -x \"$(command -v jupyter)\" ] && pip install jupyterlab==3 -i https://pypi.tuna.tsinghua.edu.cn/simple;jupyter lab --no-browser --ip=0.0.0.0 --allow-root --notebook-dir='/code' --port=$OCTOPUS_NOTEBOOK_PORT --LabApp.token='' --LabApp.allow_origin='*' --LabApp.base_url=$OCTOPUS_NOTEBOOK_BASE_URL;"
)

var (
	poolInfos   *models.PoolInfos
	FlavorInfos *setting.StFlavorInfos
	ImageInfos  *setting.StImageInfosModelArts

	SpecialPools *models.SpecialPools

	CommandPrepareScriptGpu = ";mkdir -p output;mkdir -p code;mkdir -p dataset;mkdir -p pretrainmodel;echo \"start loading script\";wget -q https://git.openi.org.cn/OpenIOSSG/%s/archive/master.zip;" +
		"echo \"finish loading script\";unzip -q master.zip;cd %s;chmod 777 downloader_for_obs uploader_for_npu downloader_for_minio uploader_for_gpu;"
)

type GenerateTrainJobReq struct {
	JobName  string
	Command  string
	ImageUrl string //与image_id二选一，都有的情况下优先image_url
	ImageId  string

	DisplayJobName    string
	Uuid              string
	Description       string
	CodeObsPath       string
	BootFile          string
	BootFileUrl       string
	DataUrl           string
	TrainUrl          string
	WorkServerNumber  int
	EngineID          int64
	CommitID          string
	IsLatestVersion   string
	BranchName        string
	PreVersionId      int64
	PreVersionName    string
	VersionCount      int
	EngineName        string
	TotalVersionCount int
	ComputeResource   string
	ProcessType       string

	DatasetNames      string
	DatasetInfos      map[string]models.DatasetInfo
	Params            string
	ModelName         string
	LabelName         string
	CkptName          string
	ModelVersion      string
	PreTrainModelPath string
	PreTrainModelUrl  string
	Spec              *models.Specification
	CodeName          string
}

type GenerateNotebookJobReq struct {
	JobName           string
	Command           string
	ImageUrl          string
	ImageId           string
	DisplayJobName    string
	Uuid              string
	Description       string
	CodeStoragePath   string
	CommitID          string
	BranchName        string
	ComputeResource   string
	ProcessType       string
	DatasetNames      string
	DatasetInfos      map[string]models.DatasetInfo
	ModelName         string
	LabelName         string
	CkptName          string
	ModelVersion      string
	PreTrainModelPath string
	PreTrainModelUrl  string
	Spec              *models.Specification
	CodeName          string
}

func getEndPoint() string {
	index := strings.Index(setting.Endpoint, "//")
	endpoint := setting.Endpoint[index+2:]
	return endpoint
}

func getDatasetGrampus(datasetInfos map[string]models.DatasetInfo) []models.GrampusDataset {
	var datasetGrampus []models.GrampusDataset
	endPoint := getEndPoint()
	for _, datasetInfo := range datasetInfos {
		datasetGrampus = append(datasetGrampus, models.GrampusDataset{
			Name:      datasetInfo.FullName,
			Bucket:    setting.Bucket,
			EndPoint:  endPoint,
			ObjectKey: datasetInfo.DataLocalPath + datasetInfo.FullName,
		})

	}
	return datasetGrampus
}
func getDatasetGPUGrampus(datasetInfos map[string]models.DatasetInfo) ([]models.GrampusDataset, string) {
	var datasetGrampus []models.GrampusDataset
	var command = ""
	for uuid, datasetInfo := range datasetInfos {
		datasetGrampus = append(datasetGrampus, models.GrampusDataset{
			Name:          datasetInfo.FullName,
			Bucket:        setting.Attachment.Minio.Bucket,
			EndPoint:      setting.Attachment.Minio.Endpoint,
			ObjectKey:     datasetInfo.DataLocalPath,
			ReadOnly:      true,
			ContainerPath: "/dataset1/" + datasetInfo.Name,
		})

		command += "cp /dataset1/'" + datasetInfo.Name + "'/" + uuid + " /dataset/'" + datasetInfo.FullName + "';"

	}
	return datasetGrampus, command
}

func GenerateNotebookJob(ctx *context.Context, req *GenerateNotebookJobReq) (jobId string, err error) {
	createTime := timeutil.TimeStampNow()

	var datasetGrampus []models.GrampusDataset
	var codeGrampus models.GrampusDataset
	var cpCommand string
	imageUrl := req.ImageUrl
	if ProcessorTypeNPU == req.ProcessType {
		datasetGrampus = getDatasetGrampus(req.DatasetInfos)
		if len(req.ModelName) != 0 {
			datasetGrampus = append(datasetGrampus, models.GrampusDataset{
				Name:      req.ModelName,
				Bucket:    setting.Bucket,
				EndPoint:  getEndPoint(),
				ReadOnly:  true,
				ObjectKey: req.PreTrainModelPath,
			})
		}

		codeGrampus = models.GrampusDataset{
			Name:      req.CodeName,
			Bucket:    setting.Bucket,
			EndPoint:  getEndPoint(),
			ObjectKey: req.CodeStoragePath + cloudbrain.DefaultBranchName + ".zip",
			ReadOnly:  false,
		}
		imageUrl = ""
		req.Command = ""
	} else {
		datasetGrampus, cpCommand = getDatasetGPUGrampus(req.DatasetInfos)
		if len(req.ModelName) != 0 {
			datasetGrampus = append(datasetGrampus, models.GrampusDataset{
				Name:          req.ModelName,
				Bucket:        setting.Attachment.Minio.Bucket,
				EndPoint:      setting.Attachment.Minio.Endpoint,
				ObjectKey:     req.PreTrainModelPath,
				ReadOnly:      true,
				ContainerPath: "/model",
			})
		}
		codeGrampus = models.GrampusDataset{
			Name:          req.CodeName,
			Bucket:        setting.Attachment.Minio.Bucket,
			EndPoint:      setting.Attachment.Minio.Endpoint,
			ObjectKey:     req.CodeStoragePath + cloudbrain.DefaultBranchName + ".zip",
			ReadOnly:      false,
			ContainerPath: "/code",
		}
		req.Command = fmt.Sprintf(CommandGpuDebug, cpCommand)
		log.Info("debug command:" + req.Command)

	}

	jobResult, err := createNotebookJob(models.CreateGrampusNotebookRequest{
		Name: req.JobName,
		Tasks: []models.GrampusNotebookTask{
			{
				Name:             req.JobName,
				ResourceSpecId:   req.Spec.SourceSpecId,
				ImageId:          req.ImageId,
				ImageUrl:         imageUrl,
				Datasets:         datasetGrampus,
				Code:             codeGrampus,
				AutoStopDuration: autoStopDurationMs,
				Capacity:         setting.Capacity,
				Command:          req.Command,
			},
		},
	})
	if err != nil {
		log.Error("createNotebookJob failed: %v", err.Error())
		return "", err
	}

	jobID := jobResult.JobInfo.JobID
	err = models.CreateCloudbrain(&models.Cloudbrain{
		Status:           TransTrainJobStatus(jobResult.JobInfo.Status),
		UserID:           ctx.User.ID,
		RepoID:           ctx.Repo.Repository.ID,
		JobID:            jobID,
		JobName:          req.JobName,
		DisplayJobName:   req.DisplayJobName,
		JobType:          string(models.JobTypeDebug),
		Type:             models.TypeC2Net,
		Uuid:             req.Uuid,
		DatasetName:      req.DatasetNames,
		CommitID:         req.CommitID,
		IsLatestVersion:  "1",
		ComputeResource:  req.ComputeResource,
		ImageID:          req.ImageId,
		BranchName:       req.BranchName,
		Description:      req.Description,
		WorkServerNumber: 1,
		EngineName:       req.ImageUrl,
		CreatedUnix:      createTime,
		UpdatedUnix:      createTime,
		Spec:             req.Spec,
		ModelName:        req.ModelName,
		ModelVersion:     req.ModelVersion,
		LabelName:        req.LabelName,
		PreTrainModelUrl: req.PreTrainModelUrl,
		CkptName:         req.CkptName,
	})

	if err != nil {
		log.Error("CreateCloudbrain(%s) failed:%v", req.DisplayJobName, err.Error())
		return "", err
	}

	var actionType models.ActionType
	if req.ComputeResource == models.NPUResource {
		actionType = models.ActionCreateGrampusNPUDebugTask
	} else if req.ComputeResource == models.GPUResource {
		actionType = models.ActionCreateGrampusGPUDebugTask
	}
	notification.NotifyOtherTask(ctx.User, ctx.Repo.Repository, jobID, req.DisplayJobName, actionType)

	return jobID, nil
}

func GenerateTrainJob(ctx *context.Context, req *GenerateTrainJobReq) (jobId string, err error) {
	createTime := timeutil.TimeStampNow()

	centerID, centerName := getCentersParamter(ctx, req)

	var datasetGrampus, modelGrampus []models.GrampusDataset
	var codeGrampus models.GrampusDataset
	if ProcessorTypeNPU == req.ProcessType {
		datasetGrampus = getDatasetGrampus(req.DatasetInfos)
		if len(req.ModelName) != 0 {
			modelGrampus = []models.GrampusDataset{
				{
					Name:      req.ModelName,
					Bucket:    setting.Bucket,
					EndPoint:  getEndPoint(),
					ObjectKey: req.PreTrainModelPath,
				},
			}
		}
		codeGrampus = models.GrampusDataset{
			Name:      req.CodeName,
			Bucket:    setting.Bucket,
			EndPoint:  getEndPoint(),
			ObjectKey: req.CodeObsPath + cloudbrain.DefaultBranchName + ".zip",
		}
	}

	jobResult, err := createJob(models.CreateGrampusJobRequest{
		Name: req.JobName,
		Tasks: []models.GrampusTasks{
			{
				Name:           req.JobName,
				Command:        req.Command,
				ResourceSpecId: req.Spec.SourceSpecId,
				ImageId:        req.ImageId,
				ImageUrl:       req.ImageUrl,
				CenterID:       centerID,
				CenterName:     centerName,
				ReplicaNum:     1,
				Datasets:       datasetGrampus,
				Models:         modelGrampus,
				Code:           codeGrampus,
				BootFile:       req.BootFile,
			},
		},
	})
	if err != nil {
		log.Error("createJob failed: %v", err.Error())
		return "", err
	}

	jobID := jobResult.JobInfo.JobID
	err = models.CreateCloudbrain(&models.Cloudbrain{
		Status:            TransTrainJobStatus(jobResult.JobInfo.Status),
		UserID:            ctx.User.ID,
		RepoID:            ctx.Repo.Repository.ID,
		JobID:             jobID,
		JobName:           req.JobName,
		DisplayJobName:    req.DisplayJobName,
		JobType:           string(models.JobTypeTrain),
		Type:              models.TypeC2Net,
		Uuid:              req.Uuid,
		DatasetName:       req.DatasetNames,
		CommitID:          req.CommitID,
		IsLatestVersion:   req.IsLatestVersion,
		ComputeResource:   req.ComputeResource,
		ImageID:           req.ImageId,
		TrainUrl:          req.TrainUrl,
		BranchName:        req.BranchName,
		Parameters:        req.Params,
		BootFile:          req.BootFile,
		DataUrl:           req.DataUrl,
		Description:       req.Description,
		WorkServerNumber:  req.WorkServerNumber,
		EngineName:        req.EngineName,
		VersionCount:      req.VersionCount,
		TotalVersionCount: req.TotalVersionCount,
		CreatedUnix:       createTime,
		UpdatedUnix:       createTime,
		Spec:              req.Spec,
		ModelName:         req.ModelName,
		ModelVersion:      req.ModelVersion,
		LabelName:         req.LabelName,
		PreTrainModelUrl:  req.PreTrainModelUrl,
		CkptName:          req.CkptName,
	})

	if err != nil {
		log.Error("CreateCloudbrain(%s) failed:%v", req.DisplayJobName, err.Error())
		return "", err
	}

	var actionType models.ActionType
	if req.ComputeResource == models.NPUResource {
		actionType = models.ActionCreateGrampusNPUTrainTask
	} else if req.ComputeResource == models.GPUResource {
		actionType = models.ActionCreateGrampusGPUTrainTask
	}
	notification.NotifyOtherTask(ctx.User, ctx.Repo.Repository, jobID, req.DisplayJobName, actionType)

	return jobID, nil
}

func getCentersParamter(ctx *context.Context, req *GenerateTrainJobReq) ([]string, []string) {
	var centerID []string
	var centerName []string

	includeCenters := make(map[string]string)
	excludeCenters := make(map[string]string)

	if SpecialPools != nil {
		for _, pool := range SpecialPools.Pools {
			if !pool.IsExclusive && strings.Contains(req.ComputeResource, pool.Type) {
				org, _ := models.GetOrgByName(pool.Org)
				if org != nil {
					isOrgMember, _ := models.IsOrganizationMember(org.ID, ctx.User.ID)
					if isOrgMember {
						for _, info := range pool.Pool {
							includeCenters[info.Queue] = info.Value
						}
					} else {
						for _, info := range pool.Pool {
							excludeCenters[info.Queue] = info.Value
						}
					}
				}
			}
		}

	}

	if len(includeCenters) > 0 {
		//如果有专属资源池，根据专属资源池指定智算中心
		for k, v := range includeCenters {
			centerID = append(centerID, k)
			centerName = append(centerName, v)
		}
	} else if len(excludeCenters) > 0 {
		//否则，有要排除的中心，先获取所有中心，删除其中的排除中心，得到指定的智算中心
		allCenters := make(map[string]string)
		specs, err := GetResourceSpecs(req.ProcessType)
		if err == nil {
			for _, info := range specs.Infos {
				for _, center := range info.Centers {
					allCenters[center.ID] = center.Name
				}

			}
		}

		for k, _ := range excludeCenters {
			delete(allCenters, k)
		}

		for k, v := range allCenters {
			centerID = append(centerID, k)
			centerName = append(centerName, v)
		}

	}
	return centerID, centerName
}

func TransTrainJobStatus(status string) string {
	if status == models.GrampusStatusPending {
		status = models.GrampusStatusWaiting
	}

	return strings.ToUpper(status)
}

func GetNpuModelRemoteObsUrl(jobName string) string {
	return "s3:///" + BucketRemote + "/" + GetNpuModelObjectKey(jobName)
}

func GetNpuModelObjectKey(jobName string) string {
	return setting.CodePathPrefix + jobName + RemoteModelPath
}

func GetRemoteEndPoint(aiCenterID string) string {
	var endPoint string
	for _, info := range setting.CenterInfos.Info {
		if info.CenterID == aiCenterID {
			endPoint = info.Endpoint
			break
		}
	}

	return endPoint
}

func GetCenterProxy(aiCenterID string) string {
	var proxy string
	for _, info := range setting.CenterInfos.Info {
		if info.CenterID == aiCenterID {
			proxy = info.StorageProxyServer
			break
		}
	}

	return proxy
}