aiforge/models/cloudbrain.go

package models

import (
	"encoding/json"
	"errors"
	"fmt"
	"strconv"
	"strings"
	"time"

	"code.gitea.io/gitea/modules/util"

	"xorm.io/builder"
	"xorm.io/xorm"

	"code.gitea.io/gitea/modules/log"
	"code.gitea.io/gitea/modules/setting"
	"code.gitea.io/gitea/modules/timeutil"
)

type CloudbrainStatus string
type JobType string
type ModelArtsJobStatus string

const (
	TypeCloudBrainOne int = iota
	TypeCloudBrainTwo
	TypeC2Net    //智算网络
	TypeCDCenter //成都智算中心

	TypeCloudBrainAll = -1
)

const (
	NPUResource = "NPU"
	GPUResource = "CPU/GPU"
	AllResource = "all"

	//notebook storage category
	EVSCategory = "EVS"
	EFSCategory = "EFS"

	ManagedOwnership  = "MANAGED"
	DetectedOwnership = "DEDICATED"

	NotebookFeature = "NOTEBOOK"
	DefaultFeature  = "DEFAULT"

	JobWaiting   CloudbrainStatus = "WAITING"
	JobStopped   CloudbrainStatus = "STOPPED"
	JobSucceeded CloudbrainStatus = "SUCCEEDED"
	JobFailed    CloudbrainStatus = "FAILED"
	JobRunning   CloudbrainStatus = "RUNNING"

	JobTypeDebug        JobType = "DEBUG"
	JobTypeBenchmark    JobType = "BENCHMARK"
	JobTypeSnn4imagenet JobType = "SNN4IMAGENET"
	JobTypeBrainScore   JobType = "BRAINSCORE"
	JobTypeTrain        JobType = "TRAIN"
	JobTypeInference    JobType = "INFERENCE"

	//notebook
	ModelArtsCreateQueue  ModelArtsJobStatus = "CREATE_QUEUING" //免费资源创建排队中
	ModelArtsCreating     ModelArtsJobStatus = "CREATING"       //创建中
	ModelArtsCreateFailed ModelArtsJobStatus = "CREATE_FAILED"  //创建失败
	ModelArtsStartQueuing ModelArtsJobStatus = "START_QUEUING"  //免费资源启动排队中
	ModelArtsReadyToStart ModelArtsJobStatus = "READY_TO_START" //免费资源等待启动
	ModelArtsStarting     ModelArtsJobStatus = "STARTING"       //启动中
	ModelArtsRestarting   ModelArtsJobStatus = "RESTARTING"     //重启中
	ModelArtsStartFailed  ModelArtsJobStatus = "START_FAILED"   //启动失败
	ModelArtsRunning      ModelArtsJobStatus = "RUNNING"        //运行中
	ModelArtsStopping     ModelArtsJobStatus = "STOPPING"       //停止中
	ModelArtsStopped      ModelArtsJobStatus = "STOPPED"        //停止
	ModelArtsUnavailable  ModelArtsJobStatus = "UNAVAILABLE"    //故障
	ModelArtsDeleting     ModelArtsJobStatus = "DELETING"       //删除中
	ModelArtsDeleted      ModelArtsJobStatus = "DELETED"        //已删除
	ModelArtsResizing     ModelArtsJobStatus = "RESIZING"       //规格变更中
	ModelArtsResizFailed  ModelArtsJobStatus = "RESIZE_FAILED"  //规格变更失败

	//trainjob
	ModelArtsTrainJobUnknown               ModelArtsJobStatus = "UNKNOWN"                 //作业状态未知
	ModelArtsTrainJobInit                  ModelArtsJobStatus = "INIT"                    //作业初始化状态
	ModelArtsTrainJobImageCreating         ModelArtsJobStatus = "IMAGE_CREATING"          //作业镜像正在创建
	ModelArtsTrainJobImageFailed           ModelArtsJobStatus = "IMAGE_FAILED"            //作业镜像创建失败
	ModelArtsTrainJobSubmitTrying          ModelArtsJobStatus = "SUBMIT_TRYING"           //作业正在提交
	ModelArtsTrainJobSubmitFailed          ModelArtsJobStatus = "SUBMIT_FAILED"           //作业提交失败
	ModelArtsTrainJobDeleteFailed          ModelArtsJobStatus = "DELETE_FAILED"           //作业删除失败
	ModelArtsTrainJobWaiting               ModelArtsJobStatus = "WAITING"                 //作业正在排队中
	ModelArtsTrainJobRunning               ModelArtsJobStatus = "RUNNING"                 //作业正在运行中
	ModelArtsTrainJobKilling               ModelArtsJobStatus = "KILLING"                 //作业正在取消
	ModelArtsTrainJobCompleted             ModelArtsJobStatus = "COMPLETED"               //作业已经完成
	ModelArtsTrainJobFailed                ModelArtsJobStatus = "FAILED"                  //作业运行失败
	ModelArtsTrainJobKilled                ModelArtsJobStatus = "KILLED"                  //作业取消成功
	ModelArtsTrainJobCanceled              ModelArtsJobStatus = "CANCELED"                //作业取消
	ModelArtsTrainJobLost                  ModelArtsJobStatus = "LOST"                    //作业丢失
	ModelArtsTrainJobScaling               ModelArtsJobStatus = "SCALING"                 //作业正在扩容
	ModelArtsTrainJobSubmitModelFailed     ModelArtsJobStatus = "SUBMIT_MODEL_FAILED"     //提交模型失败
	ModelArtsTrainJobDeployServiceFailed   ModelArtsJobStatus = "DEPLOY_SERVICE_FAILED"   //部署服务失败
	ModelArtsTrainJobCheckInit             ModelArtsJobStatus = "CHECK_INIT"              //审核作业初始化
	ModelArtsTrainJobCheckRunning          ModelArtsJobStatus = "CHECK_RUNNING"           //审核作业正在运行中
	ModelArtsTrainJobCheckRunningCompleted ModelArtsJobStatus = "CHECK_RUNNING_COMPLETED" //审核作业已经完成
	ModelArtsTrainJobCheckFailed           ModelArtsJobStatus = "CHECK_FAILED"            //审核作业失败

	DURATION_STR_ZERO = "00:00:00"

	//grampus
	GrampusStatusPending   = "pending"
	GrampusStatusRunning   = "RUNNING"
	GrampusStatusFailed    = "FAILED"
	GrampusStatusSucceeded = "SUCCEEDED"
	GrampusStatusStopped   = "STOPPED"
	GrampusStatusUnknown   = "UNKNOWN"
	GrampusStatusWaiting   = "WAITING"
)

const (
	//cluster
	OpenICluster = "OpenI"
	C2NetCluster = "C2Net"

	//AI center
	AICenterOfCloudBrainOne = "OpenIOne"
	AICenterOfCloudBrainTwo = "OpenITwo"
	AICenterOfChengdu       = "OpenIChengdu"

	//ComputeResource
	GPU = "GPU"
	NPU = "NPU"
)

type Cloudbrain struct {
	ID                   int64  `xorm:"pk autoincr"`
	JobID                string `xorm:"INDEX NOT NULL"`
	JobType              string `xorm:"INDEX NOT NULL DEFAULT 'DEBUG'"`
	JobName              string
	DisplayJobName       string
	Status               string
	UserID               int64 `xorm:"INDEX NOT NULL"`
	RepoID               int64 `xorm:"INDEX NOT NULL"`
	SubTaskName          string
	ContainerID          string
	ContainerIp          string
	CreatedUnix          timeutil.TimeStamp `xorm:"INDEX"`
	UpdatedUnix          timeutil.TimeStamp `xorm:"INDEX updated"`
	Duration             int64              `xorm:"DEFAULT 0"` //运行时长 单位秒
	TrainJobDuration     string             `xorm:"DEFAULT '00:00:00'"`
	Image                string             //镜像名称
	GpuQueue             string             //GPU类型即GPU队列
	ResourceSpecId       int                //GPU规格id
	DeletedAt            time.Time          `xorm:"deleted"`
	CanDebug             bool               `xorm:"-"`
	CanDel               bool               `xorm:"-"`
	CanModify            bool               `xorm:"-"`
	Type                 int                `xorm:"INDEX"`
	BenchmarkTypeID      int
	BenchmarkChildTypeID int
	CardType             string
	Cluster              string

	VersionID       int64  //版本id
	VersionName     string `xorm:"INDEX"` //当前版本
	Uuid            string //数据集id
	DatasetName     string `xorm:"varchar(2000)"`
	VersionCount    int    //任务的当前版本数量，不包括删除的
	IsLatestVersion string //是否是最新版本，1是，0否
	CommitID        string //提交的仓库代码id
	PreVersionName  string //父版本名称
	ComputeResource string //计算资源，例如npu
	EngineID        int64  //引擎id
	ImageID         string //grampus image_id
	AiCenter        string //grampus ai center: center_id+center_name

	TrainUrl          string //输出模型的obs路径
	BranchName        string //分支名称
	Parameters        string //传给modelarts的param参数
	BootFile          string //启动文件
	DataUrl           string //数据集的obs路径
	LogUrl            string //日志输出的obs路径
	PreVersionId      int64  //父版本的版本id
	FlavorCode        string //modelarts上的规格id
	Description       string `xorm:"varchar(256)"` //描述
	WorkServerNumber  int    //节点数
	FlavorName        string //规格名称
	EngineName        string //引擎名称
	TotalVersionCount int    //任务的所有版本数量，包括删除的
	LabelName         string //标签名称
	ModelName         string //模型名称
	ModelVersion      string //模型版本
	CkptName          string //权重文件名称
	ResultUrl         string //推理结果的obs路径

	User                  *User       `xorm:"-"`
	Repo                  *Repository `xorm:"-"`
	BenchmarkType         string      `xorm:"-"` //算法评测，模型评测
	BenchmarkTypeName     string      `xorm:"-"`
	BenchmarkTypeRankLink string      `xorm:"-"`
	StartTime             timeutil.TimeStamp
	EndTime               timeutil.TimeStamp
	Spec                  *Specification `xorm:"-"`
}

func (task *Cloudbrain) ComputeAndSetDuration() {
	var d int64
	if task.StartTime == 0 {
		d = 0
	} else if task.EndTime == 0 {
		if !task.IsTerminal() {
			d = time.Now().Unix() - task.StartTime.AsTime().Unix()
		}
	} else {
		d = task.EndTime.AsTime().Unix() - task.StartTime.AsTime().Unix()
	}

	if d < 0 {
		d = 0
	}
	task.Duration = d
	task.TrainJobDuration = ConvertDurationToStr(d)
}

func (task *Cloudbrain) CorrectCreateUnix() {
	if task.StartTime > 0 && task.CreatedUnix > task.StartTime {
		task.CreatedUnix = task.StartTime
	}
}

func (task *Cloudbrain) IsTerminal() bool {
	status := task.Status
	return status == string(ModelArtsTrainJobCompleted) || status == string(ModelArtsTrainJobFailed) ||
		status == string(ModelArtsTrainJobKilled) || status == string(ModelArtsStopped) ||
		status == string(JobStopped) || status == string(JobFailed) ||
		status == string(JobSucceeded) || status == GrampusStatusFailed ||
		status == GrampusStatusSucceeded || status == GrampusStatusStopped
}
func (task *Cloudbrain) IsRunning() bool {
	status := task.Status
	return status == string(ModelArtsTrainJobRunning) || status == string(ModelArtsRunning) ||
		status == string(JobRunning) || status == GrampusStatusRunning
}

func ConvertDurationToStr(duration int64) string {
	if duration == 0 {
		return DURATION_STR_ZERO
	}
	return util.AddZero(duration/3600) + ":" + util.AddZero(duration%3600/60) + ":" + util.AddZero(duration%60)
}

func IsTrainJobTerminal(status string) bool {
	return status == string(ModelArtsTrainJobCompleted) || status == string(ModelArtsTrainJobFailed) || status == string(ModelArtsTrainJobKilled) || status == GrampusStatusFailed || status == GrampusStatusStopped || status == GrampusStatusSucceeded
}

func IsModelArtsDebugJobTerminal(status string) bool {
	return status == string(ModelArtsStopped)
}

func IsCloudBrainOneDebugJobTerminal(status string) bool {
	return status == string(JobStopped) || status == string(JobFailed) || status == string(JobSucceeded)
}

func ParseAndSetDurationFromCloudBrainOne(result JobResultPayload, task *Cloudbrain) {
	isActivated := result.JobStatus.CreatedTime > 0
	if task.StartTime == 0 && isActivated {
		task.StartTime = timeutil.TimeStamp(result.JobStatus.CreatedTime / 1000)
	}
	if task.EndTime == 0 && IsCloudBrainOneDebugJobTerminal(task.Status) && isActivated {
		if result.JobStatus.CompletedTime > 0 {
			task.EndTime = timeutil.TimeStamp(result.JobStatus.CompletedTime / 1000)
		}
	}
	task.CorrectCreateUnix()
	task.ComputeAndSetDuration()
}

func ParseAndSetDurationFromModelArtsNotebook(result *GetNotebook2Result, job *Cloudbrain) {
	if job.StartTime == 0 && result.Lease.UpdateTime > 0 {
		job.StartTime = timeutil.TimeStamp(result.Lease.UpdateTime / 1000)
	}
	job.Status = result.Status
	if job.EndTime == 0 && IsModelArtsDebugJobTerminal(job.Status) {
		job.EndTime = timeutil.TimeStampNow()
	}
	job.CorrectCreateUnix()
	job.ComputeAndSetDuration()
}

type CloudbrainInfo struct {
	Cloudbrain `xorm:"extends"`
	User       `xorm:"extends"`
}

type CloudBrainLoginResult struct {
	Code    string
	Msg     string
	Payload map[string]interface{}
}

type TaskRole struct {
	Name                  string `json:"name"`
	TaskNumber            int    `json:"taskNumber"`
	MinSucceededTaskCount int    `json:"minSucceededTaskCount"`
	MinFailedTaskCount    int    `json:"minFailedTaskCount"`
	CPUNumber             int    `json:"cpuNumber"`
	GPUNumber             int    `json:"gpuNumber"`
	MemoryMB              int    `json:"memoryMB"`
	ShmMB                 int    `json:"shmMB"`
	Command               string `json:"command"`
	NeedIBDevice          bool   `json:"needIBDevice"`
	IsMainRole            bool   `json:"isMainRole"`
	UseNNI                bool   `json:"useNNI"`
}

type StHostPath struct {
	Path      string `json:"path"`
	MountPath string `json:"mountPath"`
	ReadOnly  bool   `json:"readOnly"`
}

type Volume struct {
	HostPath StHostPath `json:"hostPath"`
}

type CreateJobParams struct {
	JobName    string     `json:"jobName"`
	RetryCount int8       `json:"retryCount"`
	GpuType    string     `json:"gpuType"`
	Image      string     `json:"image"`
	TaskRoles  []TaskRole `json:"taskRoles"`
	Volumes    []Volume   `json:"volumes"`
}

type CreateJobResult struct {
	Code    string                 `json:"code"`
	Msg     string                 `json:"msg"`
	Payload map[string]interface{} `json:"payload"`
}

type QueueDetailResult struct {
	Code    string                 `json:"code"`
	Msg     string                 `json:"msg"`
	Payload map[string]QueueDetail `json:"payload"`
}

type QueueDetail struct {
	JobScheduleInfo JobScheduleInfo `json:"JobScheduleInfo"`
}

type JobScheduleInfo struct {
	Pending                     int `json:"Pending"`
	Running                     int `json:"Running"`
	MedianPendingJobDurationSec int `json:"MedianPendingJobDurationSec"`
}

type GetJobResult struct {
	Code    string                 `json:"code"`
	Msg     string                 `json:"msg"`
	Payload map[string]interface{} `json:"payload"`
}

type GetImagesResult struct {
	Code    string           `json:"code"`
	Msg     string           `json:"msg"`
	Payload GetImagesPayload `json:"payload"`
}

type GetImagesPayload struct {
	Count      int          `json:"count"`
	TotalPages int          `json:"totalPages,omitempty"`
	ImageInfo  []*ImageInfo `json:"rows"`
}

type CloudbrainsOptions struct {
	ListOptions
	RepoID          int64 // include all repos if empty
	UserID          int64
	JobID           string
	SortType        string
	CloudbrainIDs   []int64
	JobStatus       []string
	JobStatusNot    bool
	Keyword         string
	Type            int
	JobTypes        []string
	VersionName     string
	IsLatestVersion string
	JobTypeNot      bool
	NeedRepoInfo    bool
	RepoIDList      []int64
	BeginTime       time.Time
	EndTime         time.Time
	ComputeResource string
	BeginTimeUnix   int64
	EndTimeUnix     int64
	AiCenter        string
	NeedDeleteInfo  string
	Cluster         string
}

type TaskPod struct {
	TaskRoleStatus struct {
		Name string `json:"name"`
	} `json:"taskRoleStatus"`
	//TaskStatuses []struct {
	//	TaskIndex       int       `json:"taskIndex"`
	//	PodUID          string    `json:"podUid"`
	//	PodIP           string    `json:"podIp"`
	//	PodName         string    `json:"podName"`
	//	ContainerID     string    `json:"containerId"`
	//	ContainerIP     string    `json:"containerIp"`
	//	ContainerGpus   string    `json:"containerGpus"`
	//	State           string    `json:"state"`
	//	StartAt         time.Time `json:"startAt"`
	//	FinishedAt      time.Time `json:"finishedAt"`
	//	ExitCode        int       `json:"exitCode"`
	//	ExitDiagnostics string    `json:"exitDiagnostics"`
	//	RetriedCount    int       `json:"retriedCount"`
	//	StartTime       string
	//	FinishedTime    string
	//} `json:"taskStatuses"`
	TaskStatuses []TaskStatuses `json:"taskStatuses"`
}

type TaskStatuses struct {
	TaskIndex       int       `json:"taskIndex"`
	PodUID          string    `json:"podUid"`
	PodIP           string    `json:"podIp"`
	PodName         string    `json:"podName"`
	ContainerID     string    `json:"containerId"`
	ContainerIP     string    `json:"containerIp"`
	ContainerGpus   string    `json:"containerGpus"`
	State           string    `json:"state"`
	StartAt         time.Time `json:"startAt"`
	FinishedAt      time.Time `json:"finishedAt"`
	ExitCode        int       `json:"exitCode"`
	ExitDiagnostics string    `json:"exitDiagnostics"`
	RetriedCount    int       `json:"retriedCount"`
	StartTime       string
	FinishedTime    string
}

type TaskInfo struct {
	Username          string   `json:"username"`
	TaskName          string   `json:"task_name"`
	CodeName          string   `json:"code_name"`
	BenchmarkCategory []string `json:"selected_category"`
	CodeLink          string   `json:"code_link"`
	GpuType           string   `json:"gpu_type"`
}

func ConvertToTaskPod(input map[string]interface{}) (TaskPod, error) {
	data, _ := json.Marshal(input)
	var taskPod TaskPod
	err := json.Unmarshal(data, &taskPod)
	taskPod.TaskStatuses[0].StartTime = time.Unix(taskPod.TaskStatuses[0].StartAt.Unix()+8*3600, 0).UTC().Format("2006-01-02 15:04:05")
	taskPod.TaskStatuses[0].FinishedTime = time.Unix(taskPod.TaskStatuses[0].FinishedAt.Unix()+8*3600, 0).UTC().Format("2006-01-02 15:04:05")
	//if the task is not finished or stopped,the cloudbrain renturns 0001-01-01 08:00:00, the finishedTime shows with -
	if strings.HasPrefix(taskPod.TaskStatuses[0].FinishedTime, "0001") {
		taskPod.TaskStatuses[0].FinishedTime = "-"
	}
	return taskPod, err
}

type JobResultPayload struct {
	ID        string `json:"id"`
	Name      string `json:"name"`
	Platform  string `json:"platform"`
	JobStatus struct {
		Username           string      `json:"username"`
		State              string      `json:"state"`
		SubState           string      `json:"subState"`
		ExecutionType      string      `json:"executionType"`
		Retries            int         `json:"retries"`
		CreatedTime        int64       `json:"createdTime"`
		CompletedTime      int64       `json:"completedTime"`
		AppID              string      `json:"appId"`
		AppProgress        string      `json:"appProgress"`
		AppTrackingURL     string      `json:"appTrackingUrl"`
		AppLaunchedTime    int64       `json:"appLaunchedTime"`
		AppCompletedTime   interface{} `json:"appCompletedTime"`
		AppExitCode        int         `json:"appExitCode"`
		AppExitDiagnostics string      `json:"appExitDiagnostics"`
		AppExitType        interface{} `json:"appExitType"`
		VirtualCluster     string      `json:"virtualCluster"`
		StartTime          string
		EndTime            string
	} `json:"jobStatus"`
	TaskRoles map[string]interface{} `json:"taskRoles"`
	Resource  struct {
		CPU          int    `json:"cpu"`
		Memory       string `json:"memory"`
		NvidiaComGpu int    `json:"nvidia.com/gpu"`
	} `json:"resource"`
	Config struct {
		Image     string `json:"image"`
		JobID     string `json:"jobId"`
		GpuType   string `json:"gpuType"`
		JobName   string `json:"jobName"`
		JobType   string `json:"jobType"`
		TaskRoles []struct {
			Name                  string `json:"name"`
			ShmMB                 int    `json:"shmMB"`
			Command               string `json:"command"`
			MemoryMB              int    `json:"memoryMB"`
			CPUNumber             int    `json:"cpuNumber"`
			GpuNumber             int    `json:"gpuNumber"`
			IsMainRole            bool   `json:"isMainRole"`
			TaskNumber            int    `json:"taskNumber"`
			NeedIBDevice          bool   `json:"needIBDevice"`
			MinFailedTaskCount    int    `json:"minFailedTaskCount"`
			MinSucceededTaskCount int    `json:"minSucceededTaskCount"`
		} `json:"taskRoles"`
		RetryCount int `json:"retryCount"`
	} `json:"config"`
	Userinfo struct {
		User  string `json:"user"`
		OrgID string `json:"org_id"`
	} `json:"userinfo"`
}

func ConvertToJobResultPayload(input map[string]interface{}) (JobResultPayload, error) {
	data, _ := json.Marshal(input)
	var jobResultPayload JobResultPayload
	err := json.Unmarshal(data, &jobResultPayload)
	jobResultPayload.JobStatus.StartTime = time.Unix(jobResultPayload.JobStatus.CreatedTime/1000, 0).Format("2006-01-02 15:04:05")
	jobResultPayload.JobStatus.EndTime = time.Unix(jobResultPayload.JobStatus.CompletedTime/1000, 0).Format("2006-01-02 15:04:05")

	if jobResultPayload.JobStatus.State == string(JobWaiting) {
		jobResultPayload.JobStatus.StartTime = "-"
		jobResultPayload.JobStatus.EndTime = "-"
	}
	return jobResultPayload, err
}

type ImagesResultPayload struct {
	Images []struct {
		ID          int    `json:"id"`
		Name        string `json:"name"`
		Place       string `json:"place"`
		Description string `json:"description"`
		Provider    string `json:"provider"`
		Createtime  string `json:"createtime"`
		Remark      string `json:"remark"`
	} `json:"taskStatuses"`
}
type ImageInfo struct {
	ID          int    `json:"id"`
	Name        string `json:"name"`
	Place       string `json:"place"`
	Description string `json:"description"`
	Provider    string `json:"provider"`
	Createtime  string `json:"createtime"`
	Remark      string `json:"remark"`
	IsPublic    int    `json:"isPublic"`
	PlaceView   string
}

type Categories struct {
	Category []*Category `json:"category"`
}

type Category struct {
	Id    int    `json:"id"`
	Value string `json:"value"`
}

type BenchmarkTypes struct {
	BenchmarkType []*BenchmarkType `json:"type"`
}

type BenchmarkType struct {
	Id       int                 `json:"id"`
	RankLink string              `json:"rank_link"`
	First    string              `json:"first"` //一级算法类型名称
	Second   []*BenchmarkDataset `json:"second"`
}

type BenchmarkDataset struct {
	Id         int    `json:"id"`
	Value      string `json:"value"`      //二级算法类型名称
	Attachment string `json:"attachment"` //数据集的uuid
	Owner      string `json:"owner"`      //评估脚本所在仓库的拥有者
	RepoName   string `json:"repo_name"`  //评估脚本所在仓库的名称
}

type GpuInfos struct {
	GpuInfo []*GpuInfo `json:"gpu_type"`
}

type GpuInfo struct {
	Id    int    `json:"id"`
	Value string `json:"value"`
	Queue string `json:"queue"`
}

type ResourceSpecs struct {
	ResourceSpec []*ResourceSpec `json:"resorce_specs"`
}

type ResourceSpec struct {
	Id          int `json:"id"`
	CpuNum      int `json:"cpu"`
	GpuNum      int `json:"gpu"`
	MemMiB      int `json:"memMiB"`
	ShareMemMiB int `json:"shareMemMiB"`
}

type SpecialPools struct {
	Pools []*SpecialPool `json:"pools"`
}
type SpecialPool struct {
	Org          string                `json:"org"`
	Type         string                `json:"type"`
	IsExclusive  bool                  `json:"isExclusive"`
	Pool         []*GpuInfo            `json:"pool"`
	JobType      []string              `json:"jobType"`
	ResourceSpec []*ResourceSpec       `json:"resourceSpecs"`
	Flavor       []*setting.FlavorInfo `json:"flavor"`
}

type PoolInfos struct {
	PoolInfo []*PoolInfo `json:"pool_info"`
}

type PoolInfo struct {
	PoolId   string `json:"pool_id"`
	PoolName string `json:"pool_name"`
	PoolType string `json:"pool_type"`
}

type CommitImageCloudBrainParams struct {
	Ip               string `json:"ip"`
	TaskContainerId  string `json:"taskContainerId"`
	ImageTag         string `json:"imageTag"`
	ImageDescription string `json:"imageDescription"`
}

type CommitImageParams struct {
	CommitImageCloudBrainParams
	IsPrivate      bool
	Topics         []string
	CloudBrainType int
	UID            int64
	Place          string
	Type           int
}

type CommitImageResult struct {
	Code    string                 `json:"code"`
	Msg     string                 `json:"msg"`
	Payload map[string]interface{} `json:"payload"`
}

type GetJobLogParams struct {
	Size      string    `json:"size"`
	Sort      string    `json:"sort"`
	QueryInfo QueryInfo `json:"query"`
}

type QueryInfo struct {
	MatchInfo MatchInfo `json:"match"`
}

type MatchInfo struct {
	PodName string `json:"kubernetes.pod.name"`
}

type GetJobLogResult struct {
	ScrollID string `json:"_scroll_id"`
	Took     int    `json:"took"`
	TimedOut bool   `json:"timed_out"`
	Shards   struct {
		Total      int `json:"total"`
		Successful int `json:"successful"`
		Skipped    int `json:"skipped"`
		Failed     int `json:"failed"`
	} `json:"_shards"`
	Hits struct {
		Hits []Hits `json:"hits"`
	} `json:"hits"`
}

type Hits struct {
	Index  string `json:"_index"`
	Type   string `json:"_type"`
	ID     string `json:"_id"`
	Source struct {
		Message string `json:"message"`
	} `json:"_source"`
	Sort []int `json:"sort"`
}

type GetAllJobLogParams struct {
	Scroll   string `json:"scroll"`
	ScrollID string `json:"scroll_id"`
}

type DeleteJobLogTokenParams struct {
	ScrollID string `json:"scroll_id"`
}

type DeleteJobLogTokenResult struct {
	Succeeded bool `json:"succeeded"`
	NumFreed  int  `json:"num_freed"`
}

type CloudBrainResult struct {
	Code string `json:"code"`
	Msg  string `json:"msg"`
}

type CreateNotebook2Params struct {
	JobName     string    `json:"name"`
	Description string    `json:"description"`
	Duration    int64     `json:"duration"` //ms
	Feature     string    `json:"feature"`
	PoolID      string    `json:"pool_id"`
	Flavor      string    `json:"flavor"`
	ImageID     string    `json:"image_id"`
	WorkspaceID string    `json:"workspace_id"`
	Volume      VolumeReq `json:"volume"`
}

type CreateNotebookWithoutPoolParams struct {
	JobName     string    `json:"name"`
	Description string    `json:"description"`
	Duration    int64     `json:"duration"` //ms
	Feature     string    `json:"feature"`
	Flavor      string    `json:"flavor"`
	ImageID     string    `json:"image_id"`
	WorkspaceID string    `json:"workspace_id"`
	Volume      VolumeReq `json:"volume"`
}

type VolumeReq struct {
	Capacity  int    `json:"capacity"`
	Category  string `json:"category"`
	Ownership string `json:"ownership"`
	Uri       string `json:"uri"`
}

type CreateNotebookParams struct {
	JobName     string    `json:"name"`
	Description string    `json:"description"`
	ProfileID   string    `json:"profile_id"`
	Flavor      string    `json:"flavor"`
	Spec        Spec      `json:"spec"`
	Workspace   Workspace `json:"workspace"`
	Pool        Pool      `json:"pool"`
}

type Pool struct {
	ID   string `json:"id"`
	Name string `json:"name"`
	Type string `json:"type"`
}

type Workspace struct {
	ID string `json:"id"`
}

type Spec struct {
	Storage  Storage  `json:"storage"`
	AutoStop AutoStop `json:"auto_stop"`
}

type AutoStop struct {
	Enable   bool `json:"enable"`
	Duration int  `json:"duration"`
}

type Storage struct {
	Type     string   `json:"type"`
	Location Location `json:"location"`
}

type Location struct {
	Path string `json:"path"`
}

type NotebookResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_msg"`
}

type CreateNotebookResult struct {
	ErrorCode             string `json:"error_code"`
	ErrorMsg              string `json:"error_msg"`
	ID                    string `json:"id"`
	Name                  string `json:"name"`
	Description           string `json:"description"`
	Status                string `json:"status"`
	CreationTimestamp     string `json:"creation_timestamp"`
	LatestUpdateTimestamp string `json:"latest_update_timestamp"`
	Profile               struct {
		ID          string `json:"id"`
		Name        string `json:"name"`
		Description string `json:"description"`
		DeType      string `json:"de_type"`
		FlavorType  string `json:"flavor_type"`
	} `json:"profile"`
	Flavor        string `json:"flavor"`
	FlavorDetails struct {
		Name          string `json:"name"`
		Status        string `json:"status"`
		QueuingNum    int    `json:"queuing_num"`
		QueueLeftTime int    `json:"queue_left_time"` //s
		Duration      int    `json:"duration"`        //auto_stop_time s
	} `json:"flavor_details"`
}

type GetNotebookResult struct {
	ErrorCode             string `json:"error_code"`
	ErrorMsg              string `json:"error_msg"`
	ID                    string `json:"id"`
	Name                  string `json:"name"`
	Description           string `json:"description"`
	Status                string `json:"status"`
	CreationTimestamp     string `json:"creation_timestamp"`
	CreateTime            string
	LatestUpdateTimestamp string `json:"latest_update_timestamp"`
	LatestUpdateTime      string
	Profile               struct {
		ID          string `json:"id"`
		Name        string `json:"name"`
		Description string `json:"description"`
		DeType      string `json:"de_type"`
		FlavorType  string `json:"flavor_type"`
	} `json:"profile"`
	Flavor        string `json:"flavor"`
	FlavorDetails struct {
		Name          string `json:"name"`
		Status        string `json:"status"`
		QueuingNum    int    `json:"queuing_num"`
		QueueLeftTime int    `json:"queue_left_time"` //s
		Duration      int    `json:"duration"`        //auto_stop_time s
	} `json:"flavor_details"`
	QueuingInfo struct {
		ID             string `json:"id"`
		Name           string `json:"name"`
		Flavor         string `json:"flavor"`
		DeType         string `json:"de_type"`
		Status         string `json:"status"`
		BeginTimestamp int    `json:"begin_timestamp"` //time of instance begin in queue
		BeginTime      string
		RemainTime     int `json:"remain_time"`   //remain time of instance
		EndTimestamp   int `json:"end_timestamp"` //
		EndTime        string
		Rank           int `json:"rank"` //rank of instance in queue
	} `json:"queuing_info"`
	Spec struct {
		Annotations struct {
			TargetDomain string `json:"target_domain"`
			Url          string `json:"url"`
		} `json:"annotations"`
	} `json:"spec"`
}

type GetNotebook2Result struct {
	ErrorCode        string `json:"error_code"`
	ErrorMsg         string `json:"error_msg"`
	FailReason       string `json:"fail_reason"`
	ID               string `json:"id"`
	Name             string `json:"name"`
	Description      string `json:"description"`
	Status           string `json:"status"`
	Url              string `json:"url"`   //实例访问的URL
	Token            string `json:"token"` //notebook鉴权使用的token信息
	Flavor           string `json:"flavor"`
	CreateTime       string
	LatestUpdateTime string
	CreateAt         int64 `json:"create_at"` //实例创建的时间，UTC毫秒
	UpdateAt         int64 `json:"update_at"` //实例最后更新（不包括保活心跳）的时间，UTC毫秒
	Image            struct {
		Name          string `json:"name"`
		Status        string `json:"status"`
		QueuingNum    int    `json:"queuing_num"`
		QueueLeftTime int    `json:"queue_left_time"` //s
		Duration      int    `json:"duration"`        //auto_stop_time s
	} `json:"image"`
	Lease struct {
		CreateTime int64 `json:"create_at"` //实例创建的时间，UTC毫秒
		Duration   int64 `json:"duration"`  //实例运行时长，以创建时间为起点计算，即“创建时间+duration > 当前时刻”时，系统会自动停止实例
		UpdateTime int64 `json:"update_at"` //实例最后更新（不包括保活心跳）的时间，UTC毫秒
	} `json:"lease"` //实例自动停止的倒计时信息
	VolumeRes struct {
		Capacity  int    `json:"capacity"`
		Category  string `json:"category"`
		MountPath string `json:"mount_path"`
		Ownership string `json:"ownership"`
		Status    string `json:"status"`
	} `json:"volume"`
}

type GetTokenParams struct {
	Auth Auth `json:"auth"`
}

type Auth struct {
	Identity Identity `json:"identity"`
	Scope    Scope    `json:"scope"`
}

type Scope struct {
	Project Project `json:"project"`
}

type Project struct {
	Name string `json:"name"`
}

type Identity struct {
	Methods  []string `json:"methods"`
	Password Password `json:"password"`
}

type Password struct {
	User NotebookUser `json:"user"`
}

type NotebookUser struct {
	Name     string `json:"name"`
	Password string `json:"password"`
	Domain   Domain `json:"domain"`
}

type Domain struct {
	Name string `json:"name"`
}

const (
	ActionStart   = "start"
	ActionStop    = "stop"
	ActionRestart = "restart"
	ActionQueue   = "queue"
	ActionDequeue = "dequeue"
)

type NotebookAction struct {
	Action string `json:"action"`
}

type NotebookActionResult struct {
	ErrorCode     string `json:"error_code"`
	ErrorMsg      string `json:"error_msg"`
	CurrentStatus string `json:"current_status"`
	PreviousState string `json:"previous_state"`
	Status        string `json:"status"`
}

type NotebookGetJobTokenResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_msg"`
	Token     string `json:"token"`
}

type NotebookDelResult struct {
	NotebookResult
	InstanceID string `json:"instance_id"`
}

type CreateUserImageTrainJobParams struct {
	JobName     string          `json:"job_name"`
	Description string          `json:"job_desc"`
	Config      UserImageConfig `json:"config"`
	WorkspaceID string          `json:"workspace_id"`
}

type UserImageConfig struct {
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"`  //训练作业需要的数据集OBS路径URL
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`
	UserImageUrl  string      `json:"user_image_url"`
	UserCommand   string      `json:"user_command"`
	CreateVersion bool        `json:"create_version"`
	Flavor        Flavor      `json:"flavor"`
	PoolID        string      `json:"pool_id"`
}

type CreateTrainJobParams struct {
	JobName     string `json:"job_name"`
	Description string `json:"job_desc"`
	Config      Config `json:"config"`
	WorkspaceID string `json:"workspace_id"`
}

type Config struct {
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID      int64       `json:"engine_id"`
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`
	//UserImageUrl 		string       	`json:"user_image_url"`
	//UserCommand  		string 			`json:"user_command"`
	CreateVersion bool   `json:"create_version"`
	Flavor        Flavor `json:"flavor"`
	PoolID        string `json:"pool_id"`
}
type CreateInferenceJobParams struct {
	JobName     string    `json:"job_name"`
	Description string    `json:"job_desc"`
	InfConfig   InfConfig `json:"config"`
	WorkspaceID string    `json:"workspace_id"`
}

type InfConfig struct {
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID      int64       `json:"engine_id"`
	LogUrl        string      `json:"log_url"`
	CreateVersion bool        `json:"create_version"`
	Flavor        Flavor      `json:"flavor"`
	PoolID        string      `json:"pool_id"`
}

type CreateTrainJobVersionParams struct {
	Description string                `json:"job_desc"`
	Config      TrainJobVersionConfig `json:"config"`
}

type CreateTrainJobVersionUserImageParams struct {
	Description string                         `json:"job_desc"`
	Config      TrainJobVersionUserImageConfig `json:"config"`
}

type TrainJobVersionConfig struct {
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID      int64       `json:"engine_id"`
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`
	Flavor        Flavor      `json:"flavor"`
	PoolID        string      `json:"pool_id"`
	PreVersionId  int64       `json:"pre_version_id"`
}

type TrainJobVersionUserImageConfig struct {
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"`  //训练作业需要的数据集OBS路径URL
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`
	Flavor        Flavor      `json:"flavor"`
	PoolID        string      `json:"pool_id"`
	PreVersionId  int64       `json:"pre_version_id"`
	UserImageUrl  string      `json:"user_image_url"`
	UserCommand   string      `json:"user_command"`
}

type CreateConfigParams struct {
	ConfigName    string      `json:"config_name"`
	Description   string      `json:"config_desc"`
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID      int64       `json:"engine_id"`
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`
	Flavor        Flavor      `json:"flavor"`
	PoolID        string      `json:"pool_id"`
}

type Parameter struct {
	Label string `json:"label"`
	Value string `json:"value"`
}

type Parameters struct {
	Parameter []Parameter `json:"parameter"`
}
type Datasurl struct {
	DatasetUrl  string `json:"dataset_url"`
	DatasetName string `json:"dataset_name"`
}

type DatasetDownload struct {
	DatasetName         string `json:"dataset_name"`
	DatasetDownloadLink string `json:"dataset_download_link"`
	RepositoryLink      string `json:"repository_link"`
	IsDelete            bool   `json:"is_delete"`
}

type DataSource struct {
	DatasetID      string `json:"dataset_id"`
	DatasetVersion string `json:"dataset_version"`
	Type           string `json:"type"`
	DataUrl        string `json:"data_url"`
}

type Volumes struct {
	Nfs      Nfs      `json:"nfs"`
	HostPath HostPath `json:"host_path"`
}

type Nfs struct {
	ID         string `json:"id"`
	SourcePath string `json:"src_path"`
	DestPath   string `json:"dest_path"`
	ReadOnly   bool   `json:"read_only"`
}

type HostPath struct {
	SourcePath string `json:"src_path"`
	DestPath   string `json:"dest_path"`
	ReadOnly   bool   `json:"read_only"`
}

type Flavor struct {
	Code string `json:"code"`
}

type CreateTrainJobResult struct {
	ErrorCode   string `json:"error_code"`
	ErrorMsg    string `json:"error_msg"`
	IsSuccess   bool   `json:"is_success"`
	JobName     string `json:"job_name"`
	JobID       int64  `json:"job_id"`
	Status      int    `json:"status"`
	CreateTime  int64  `json:"create_time"`
	VersionID   int64  `json:"version_id"`
	ResourceID  string `json:"resource_id"`
	VersionName string `json:"version_name"`
}

type CreateTrainJobConfigResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_msg"`
	IsSuccess bool   `json:"is_success"`
}

type GetResourceSpecsResult struct {
	ErrorCode      string  `json:"error_code"`
	ErrorMsg       string  `json:"error_msg"`
	IsSuccess      bool    `json:"is_success"`
	SpecTotalCount int     `json:"spec_total_count"`
	Specs          []Specs `json:"specs"`
}

type Specs struct {
	Core          string `json:"core"`
	Cpu           string `json:"cpu"`
	IsNoResource  bool   `json:"no_resource"`
	GpuType       string `json:"gpu_type"`
	SpecID        int64  `json:"spec_id"`
	GpuNum        int    `json:"gpu_num"`
	SpecCode      string `json:"spec_code"`
	Storage       string `json:"storage"`
	MaxNum        int    `json:"max_num"`
	UnitNum       int    `json:"unit_num"`
	InterfaceType int    `json:"interface_type"`
}

type GetConfigListResult struct {
	ErrorCode        string       `json:"error_code"`
	ErrorMsg         string       `json:"error_msg"`
	IsSuccess        bool         `json:"is_success"`
	ConfigTotalCount int          `json:"config_total_count"`
	ParaConfigs      []ParaConfig `json:"configs"`
}

type ParaConfig struct {
	ConfigName    string `json:"config_name"`
	ConfigDesc    string `json:"config_desc"`
	CreateTime    int64  `json:"create_time"`
	EngineType    int    `json:"engine_type"`
	EngineName    string `json:"engine_name"`
	EngineId      int64  `json:"engine_id"`
	EngineVersion string `json:"engine_version"`
	UserImageUrl  string `json:"user_image_url"`
	UserCommand   string `json:"user_command"`
	Result        GetConfigResult
}

type GetConfigResult struct {
	ErrorCode     string      `json:"error_code"`
	ErrorMsg      string      `json:"error_msg"`
	IsSuccess     bool        `json:"is_success"`
	ConfigName    string      `json:"config_name"`
	Description   string      `json:"config_desc"`
	WorkServerNum int         `json:"worker_server_num"`
	AppUrl        string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl   string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter     []Parameter `json:"parameter"`
	DataUrl       string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID      int64       `json:"engine_id"`
	TrainUrl      string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl        string      `json:"log_url"`

	Flavor Flavor `json:"flavor"`
	PoolID string `json:"pool_id"`
}

type ErrorResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_message"`
	IsSuccess bool   `json:"is_success"`
}

type GetTrainJobResult struct {
	IsSuccess        bool   `json:"is_success"`
	JobName          string `json:"job_name"`
	JobID            int64  `json:"job_id"`
	Description      string `json:"job_desc"`
	IntStatus        int    `json:"status"`
	Status           string
	LongCreateTime   int64 `json:"create_time"`
	CreateTime       string
	Duration         int64       `json:"duration"` //训练作业的运行时间，单位为毫秒
	TrainJobDuration string      //训练作业的运行时间，格式为hh:mm:ss
	VersionID        int64       `json:"version_id"`
	ResourceID       string      `json:"resource_id"`
	VersionName      string      `json:"version_name"`
	PreVersionID     int64       `json:"pre_version_id"`
	WorkServerNum    int         `json:"worker_server_num"`
	AppUrl           string      `json:"app_url"`       //训练作业的代码目录
	BootFileUrl      string      `json:"boot_file_url"` //训练作业的代码启动文件，需要在代码目录下
	Parameter        []Parameter `json:"parameter"`
	DataUrl          string      `json:"data_url"` //训练作业需要的数据集OBS路径URL
	EngineID         int64       `json:"engine_id"`
	EngineName       string      `json:"engine_name"`
	EngineVersion    string      `json:"engine_version"`
	TrainUrl         string      `json:"train_url"` //训练作业的输出文件OBS路径URL
	LogUrl           string      `json:"log_url"`
	Flavor           Flavor      `json:"flavor"`
	PoolID           string      `json:"pool_id"`
	PoolName         string      `json:"pool_name"`
	NasMountPath     string      `json:"nas_mount_path"`
	NasShareAddr     string      `json:"nas_share_addr"`
	DatasetName      string
	ModelMetricList  string `json:"model_metric_list"` //列表里包含f1_score，recall，precision，accuracy，若有的话
	StartTime        int64  `json:"start_time"`        //训练作业开始时间。
}

type GetTrainJobLogResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_msg"`
	IsSuccess bool   `json:"is_success"`
	Content   string `json:"content"`
	Lines     int    `json:"lines"`
	StartLine string `json:"start_line"`
	EndLine   string `json:"end_line"`
}

type GetTrainJobLogFileNamesResult struct {
	ErrorCode   string   `json:"error_code"`
	ErrorMsg    string   `json:"error_msg"`
	IsSuccess   bool     `json:"is_success"`
	LogFileList []string `json:"log_file_list"`
}

type TrainJobResult struct {
	ErrorCode string `json:"error_code"`
	ErrorMsg  string `json:"error_msg"`
	IsSuccess bool   `json:"is_success"`
}

type LogFile struct {
	Name string
}

type JobList struct {
	JobName      string `json:"job_name"`
	JobID        int64  `json:"job_id"`
	VersionID    int64  `json:"version_id"`
	VersionCount int64  `json:"version_count"`
	Description  string `json:"job_desc"`
	IntStatus    int    `json:"status"`
}

type GetTrainJobListResult struct {
	ErrorResult
	JobTotalCount int       `json:"job_total_count"` //查询到的用户创建作业总数
	JobCountLimit int       `json:"job_count_limit"` //用户还可以创建训练作业的数量
	Quotas        int       `json:"quotas"`          //训练作业的运行数量上限
	JobList       []JobList `json:"jobs"`
}

type JobVersionList struct {
	VersionName string `json:"version_name"`
	VersionID   int64  `json:"version_id"`
	IntStatus   int    `json:"status"`
}

type GetTrainJobVersionListResult struct {
	ErrorResult
	JobID          int64            `json:"job_id"`
	JobName        string           `json:"job_name"`
	JobDesc        string           `json:"job_desc"`
	VersionCount   int64            `json:"version_count"`
	JobVersionList []JobVersionList `json:"versions"`
}

type NotebookList struct {
	JobName string `json:"name"`
	JobID   string `json:"id"`
	Status  string `json:"status"`
}

type GetNotebookListResult struct {
	TotalCount   int64          `json:"total"`   //总的记录数量
	CurrentPage  int            `json:"current"` //当前页数
	TotalPages   int            `json:"pages"`   //总的页数
	Size         int            `json:"size"`    //每一页的数量
	NotebookList []NotebookList `json:"data"`
}

//Grampus
type GrampusResult struct {
	ErrorCode int    `json:"errorCode"`
	ErrorMsg  string `json:"errorMsg"`
}

type GrampusJobInfo struct {
	StartedAt   int64          `json:"startedAt"`
	RunSec      int64          `json:"runSec"`
	CompletedAt int64          `json:"completedAt"`
	CreatedAt   int64          `json:"createdAt"`
	UpdatedAt   int64          `json:"updatedAt"`
	Desc        string         `json:"desc"`
	JobID       string         `json:"id"`
	Name        string         `json:"name"`
	Status      string         `json:"status"`
	UserID      string         `json:"userId"`
	Tasks       []GrampusTasks `json:"tasks"`
}
type Center struct {
	ID   string `json:"id"`
	Name string `json:"name"`
}
type GrampusSpec struct {
	CreatedAt     int64    `json:"createdAt"`
	UpdatedAt     int64    `json:"updatedAt"`
	ID            string   `json:"id"`
	Name          string   `json:"name"`
	ProcessorType string   `json:"processorType"`
	Centers       []Center `json:"centers"`
	SpecInfo      SpecInfo `json:"specInfo"`
}

type GrampusAiCenter struct {
	AccDevices []GrampusAccDevice      `json:"accDevices"`
	Id         string                  `json:"id"`
	Name       string                  `json:"name"`
	Resource   []GrampusCenterResource `json:"resource"`
}

type GrampusAccDevice struct {
	Kind  string `json:"kind"`  //加速卡类别, npu.huawei.com/NPU,nvidia.com/gpu,cambricon.com/mlu
	Model string `json:"model"` //加速卡型号
}

type GrampusCenterResource struct {
	Allocated string `json:"allocated"`
	Capacity  string `json:"capacity"`
	Name      string `json:"name"`
}

type SpecInfo struct {
	AccDeviceKind   string `json:"accDeviceKind"`
	AccDeviceMemory string `json:"accDeviceMemory"`
	AccDeviceModel  string `json:"accDeviceModel"`
	AccDeviceNum    int    `json:"accDeviceNum"`
	CpuCoreNum      int    `json:"cpuCoreNum"`
	MemorySize      string `json:"memorySize"`
}

type GetGrampusResourceSpecsResult struct {
	GrampusResult
	Infos []GrampusSpec `json:"resourceSpecs"`
}

type GetGrampusAiCentersResult struct {
	GrampusResult
	Infos     []GrampusAiCenter `json:"aiCenterInfos"`
	TotalSize int               `json:"totalSize"`
}

type GrampusImage struct {
	CreatedAt     int64  `json:"createdAt"`
	UpdatedAt     int64  `json:"updatedAt"`
	ID            string `json:"id"`
	Name          string `json:"name"`
	ProcessorType string `json:"processorType"`
}

type GetGrampusImagesResult struct {
	GrampusResult
	TotalSize int            `json:"totalSize"`
	Infos     []GrampusImage `json:"images"`
}

type CreateGrampusJobResponse struct {
	GrampusResult
	JobInfo GrampusJobInfo `json:"otJob"`
}

type GetGrampusJobResponse struct {
	GrampusResult
	JobInfo GrampusJobInfo `json:"otJob"`
}

type GrampusStopJobResponse struct {
	GrampusResult
	StoppedAt int64 `json:"stoppedAt"`
}

type GrampusTasks struct {
	Command        string   `json:"command"`
	Name           string   `json:"name"`
	ImageId        string   `json:"imageId"`
	ResourceSpecId string   `json:"resourceSpecId"`
	ImageUrl       string   `json:"imageUrl"`
	CenterID       []string `json:"centerID"`
	CenterName     []string `json:"centerName"`
	ReplicaNum     int      `json:"replicaNum"`
}

type CreateGrampusJobRequest struct {
	Name  string         `json:"name"`
	Tasks []GrampusTasks `json:"tasks"`
}

type GetTrainJobMetricStatisticResult struct {
	TrainJobResult
	Interval    int       `json:"interval"` //查询的时间间隔，单位为分钟
	MetricsInfo []Metrics `json:"metrics"`  //监控详情
}

type Metrics struct {
	Metric string   `json:"metric"` //监控指标项
	Value  []string `json:"value"`  //获取的监控值的序列，元素为String类型
}

func Cloudbrains(opts *CloudbrainsOptions) ([]*CloudbrainInfo, int64, error) {
	sess := x.NewSession()
	defer sess.Close()

	var cond = builder.NewCond()
	if opts.RepoID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.repo_id": opts.RepoID},
		)
	}

	if opts.UserID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.user_id": opts.UserID},
		)
	}

	if (opts.JobID) != "" {
		cond = cond.And(
			builder.Eq{"cloudbrain.job_id": opts.JobID},
		)
	}
	if (opts.ComputeResource) != "" {
		cond = cond.And(
			builder.Eq{"cloudbrain.compute_resource": opts.ComputeResource},
		)
	}

	if (opts.Type) >= 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.type": opts.Type},
		)
	}

	if len(opts.JobTypes) > 0 {
		if opts.JobTypeNot {
			cond = cond.And(
				builder.NotIn("cloudbrain.job_type", opts.JobTypes),
			)
		} else {
			cond = cond.And(
				builder.In("cloudbrain.job_type", opts.JobTypes),
			)
		}
	}
	if (opts.AiCenter) != "" {
		cond = cond.And(
			builder.Like{"cloudbrain.ai_center", opts.AiCenter},
		)
	}
	if (opts.Cluster) != "" {
		if opts.Cluster == "resource_cluster_openi" {
			cond = cond.And(
				builder.Or(builder.Eq{"cloudbrain.type": TypeCloudBrainOne}, builder.Eq{"cloudbrain.type": TypeCloudBrainTwo}, builder.Eq{"cloudbrain.type": TypeCDCenter}),
			)
		}
		if opts.Cluster == "resource_cluster_c2net" {
			cond = cond.And(
				builder.Eq{"cloudbrain.type": TypeC2Net},
			)
		}
	}

	if (opts.IsLatestVersion) != "" {
		cond = cond.And(builder.Or(builder.And(builder.Eq{"cloudbrain.is_latest_version": opts.IsLatestVersion}, builder.Eq{"cloudbrain.job_type": "TRAIN"}), builder.Neq{"cloudbrain.job_type": "TRAIN"}))
	}

	if len(opts.CloudbrainIDs) > 0 {
		cond = cond.And(builder.In("cloudbrain.id", opts.CloudbrainIDs))
	}

	if len(opts.JobStatus) > 0 {
		if opts.JobStatusNot {
			cond = cond.And(
				builder.NotIn("cloudbrain.status", opts.JobStatus),
			)
		} else {
			cond = cond.And(
				builder.In("cloudbrain.status", opts.JobStatus),
			)
		}
	}
	if len(opts.RepoIDList) > 0 {
		cond = cond.And(
			builder.In("cloudbrain.repo_id", opts.RepoIDList),
		)

	}

	var count int64
	var err error
	condition := "cloudbrain.user_id = `user`.id"
	if len(opts.Keyword) == 0 {
		count, err = sess.Where(cond).Count(new(Cloudbrain))
	} else {
		lowerKeyWord := strings.ToLower(opts.Keyword)

		cond = cond.And(builder.Or(builder.Like{"LOWER(cloudbrain.job_name)", lowerKeyWord}, builder.Like{"LOWER(cloudbrain.display_job_name)", lowerKeyWord}, builder.Like{"`user`.lower_name", lowerKeyWord}))
		count, err = sess.Table(&Cloudbrain{}).Where(cond).
			Join("left", "`user`", condition).Count(new(CloudbrainInfo))

	}

	if err != nil {
		return nil, 0, fmt.Errorf("Count: %v", err)
	}

	if opts.Page >= 0 && opts.PageSize > 0 {
		var start int
		if opts.Page == 0 {
			start = 0
		} else {
			start = (opts.Page - 1) * opts.PageSize
		}
		sess.Limit(opts.PageSize, start)
	}

	sess.OrderBy("cloudbrain.created_unix DESC")
	cloudbrains := make([]*CloudbrainInfo, 0, setting.UI.IssuePagingNum)
	if err := sess.Table(&Cloudbrain{}).Where(cond).
		Join("left", "`user`", condition).
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}

	if opts.NeedRepoInfo {
		var ids []int64
		for _, task := range cloudbrains {
			ids = append(ids, task.RepoID)
		}
		repositoryMap, err := GetRepositoriesMapByIDs(ids)
		if err == nil {
			for _, task := range cloudbrains {
				task.Repo = repositoryMap[task.RepoID]
			}
		}

	}

	return cloudbrains, count, nil
}

func QueryModelTrainJobVersionList(jobId string) ([]*Cloudbrain, int, error) {
	sess := x.NewSession()
	defer sess.Close()

	var cond = builder.NewCond()

	cond = cond.And(
		builder.Eq{"cloudbrain.job_id": jobId},
	)
	cond = cond.And(
		builder.In("cloudbrain.Status", "COMPLETED", "SUCCEEDED"),
		//builder.Eq{"cloudbrain.Status": "COMPLETED"},
	)

	sess.OrderBy("cloudbrain.created_unix DESC")
	cloudbrains := make([]*Cloudbrain, 0)
	if err := sess.Table(&Cloudbrain{}).Where(cond).
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}

	return cloudbrains, int(len(cloudbrains)), nil
}

func QueryModelTrainJobList(repoId int64) ([]*CloudbrainInfo, int, error) {
	sess := x.NewSession()
	defer sess.Close()
	var cond = builder.NewCond()
	cond = cond.And(
		builder.Eq{"repo_id": repoId},
	)
	cond = cond.And(
		builder.In("Status", "COMPLETED", "SUCCEEDED"),
	)
	cond = cond.And(
		builder.Eq{"job_type": "TRAIN"},
	)
	// cond = cond.And(
	// 	builder.In("type", 0, 1),
	// )

	cloudbrains := make([]*CloudbrainInfo, 0)
	if err := sess.Select("job_id,display_job_name").Table(&Cloudbrain{}).Where(cond).OrderBy("created_unix DESC").
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}

	keys := make(map[string]string)
	uniqueElements := make([]*CloudbrainInfo, 0)
	for _, entry := range cloudbrains {
		if _, value := keys[entry.JobID]; !value {
			keys[entry.JobID] = entry.DisplayJobName
			uniqueElements = append(uniqueElements, entry)
		}
	}

	return uniqueElements, int(len(uniqueElements)), nil
}

func CloudbrainsVersionList(opts *CloudbrainsOptions) ([]*CloudbrainInfo, int, error) {
	sess := x.NewSession()
	defer sess.Close()

	var cond = builder.NewCond()
	if opts.RepoID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.repo_id": opts.RepoID},
		)
	}

	if opts.UserID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.user_id": opts.UserID},
		)
	}

	if (opts.Type) >= 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.type": opts.Type},
		)
	}

	if (opts.JobID) != "" {
		cond = cond.And(
			builder.Eq{"cloudbrain.job_id": opts.JobID},
		)
	}

	if len(opts.JobTypes) > 0 {
		cond = cond.And(
			builder.In("cloudbrain.job_type", opts.JobTypes),
		)
	}

	if len(opts.CloudbrainIDs) > 0 {
		cond = cond.And(builder.In("cloudbrain.id", opts.CloudbrainIDs))
	}

	count, err := sess.Where(cond).Count(new(Cloudbrain))
	if err != nil {
		return nil, 0, fmt.Errorf("Count: %v", err)
	}

	if opts.Page >= 0 && opts.PageSize > 0 {
		var start int
		if opts.Page == 0 {
			start = 0
		} else {
			start = (opts.Page - 1) * opts.PageSize
		}
		sess.Limit(opts.PageSize, start)
	}

	sess.OrderBy("cloudbrain.created_unix DESC")
	cloudbrains := make([]*CloudbrainInfo, 0, setting.UI.IssuePagingNum)
	if err := sess.Table(&Cloudbrain{}).Where(cond).
		Join("left", "`user`", "cloudbrain.user_id = `user`.id").
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}

	return cloudbrains, int(count), nil
}

func CreateCloudbrain(cloudbrain *Cloudbrain) (err error) {
	session := x.NewSession()
	defer session.Close()

	err = session.Begin()
	cloudbrain.TrainJobDuration = DURATION_STR_ZERO
	if _, err = session.NoAutoTime().InsertOne(cloudbrain); err != nil {
		session.Rollback()
		return err
	}

	if cloudbrain.Spec != nil {
		if _, err = session.Insert(NewCloudBrainSpec(cloudbrain.ID, *cloudbrain.Spec)); err != nil {
			session.Rollback()
			return err
		}
	}
	session.Commit()

	go IncreaseDatasetUseCount(cloudbrain.Uuid)
	return nil
}

func getRepoCloudBrain(cb *Cloudbrain) (*Cloudbrain, error) {
	has, err := x.Get(cb)
	if err != nil {
		return nil, err
	} else if !has {
		return nil, ErrJobNotExist{}
	}
	return cb, nil
}

func getRepoCloudBrainWithDeleted(cb *Cloudbrain) (*Cloudbrain, error) {
	has, err := x.Unscoped().Get(cb)
	if err != nil {
		return nil, err
	} else if !has {
		return nil, ErrJobNotExist{}
	}
	return cb, nil
}

func GetRepoCloudBrainByJobID(repoID int64, jobID string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobID: jobID, RepoID: repoID}
	return getRepoCloudBrain(cb)
}

func GetCloudbrainByJobID(jobID string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobID: jobID}
	return getRepoCloudBrain(cb)
}

func GetCloudbrainByJobIDWithDeleted(jobID string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobID: jobID}
	return getRepoCloudBrainWithDeleted(cb)
}

func GetCloudbrainByID(id string) (*Cloudbrain, error) {
	idInt64, _ := strconv.ParseInt(id, 10, 64)
	cb := &Cloudbrain{ID: idInt64}
	return getRepoCloudBrain(cb)
}

func GetCloudbrainByIDWithDeleted(id string) (*Cloudbrain, error) {
	idInt64, _ := strconv.ParseInt(id, 10, 64)
	cb := &Cloudbrain{ID: idInt64}
	return getRepoCloudBrainWithDeleted(cb)
}

func GetCloudbrainByJobIDAndVersionName(jobID string, versionName string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobID: jobID, VersionName: versionName}
	return getRepoCloudBrain(cb)
}

func GetCloudbrainByJobIDAndIsLatestVersion(jobID string, isLatestVersion string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobID: jobID, IsLatestVersion: isLatestVersion}
	return getRepoCloudBrain(cb)
}

func GetCloudbrainsNeededStopByUserID(userID int64) ([]*Cloudbrain, error) {
	cloudBrains := make([]*Cloudbrain, 0)
	err := x.Cols("job_id", "status", "type", "job_type", "version_id", "start_time").Where("user_id=? AND status !=?", userID, string(JobStopped)).Find(&cloudBrains)
	return cloudBrains, err
}

func GetModelartsReDebugTaskByJobId(jobID string) ([]*Cloudbrain, error) {
	sess := x.NewSession()
	defer sess.Close()
	var cond = builder.NewCond()
	cond = cond.And(
		builder.Eq{"cloudbrain.job_id": jobID},
	)
	sess.OrderBy("cloudbrain.created_unix ASC limit 1")
	cloudbrains := make([]*Cloudbrain, 0, 10)
	if err := sess.Table(&Cloudbrain{}).Unscoped().Where(cond).
		Find(&cloudbrains); err != nil {
		log.Info("find error.")
	}
	return cloudbrains, nil
}

func GetCloudbrainsNeededStopByRepoID(repoID int64) ([]*Cloudbrain, error) {
	cloudBrains := make([]*Cloudbrain, 0)
	err := x.Cols("job_id", "status", "type", "job_type", "version_id", "start_time").Where("repo_id=? AND status !=?", repoID, string(JobStopped)).Find(&cloudBrains)
	return cloudBrains, err
}

func GetCloudbrainsNeededDeleteByRepoID(repoID int64) ([]*Cloudbrain, error) {
	cloudBrains := make([]*Cloudbrain, 0)
	err := x.Where("repo_id=?", repoID).Find(&cloudBrains)
	return cloudBrains, err
}

func GetCloudbrainsByDisplayJobName(repoID int64, jobType string, displayJobName string) ([]*Cloudbrain, error) {
	cloudBrains := make([]*Cloudbrain, 0)
	err := x.Cols("job_id", "job_name", "repo_id", "user_id", "job_type", "display_job_name").Where("repo_id=? AND job_type =? AND lower(display_job_name) = lower(?)", repoID, jobType, displayJobName).Find(&cloudBrains)
	return cloudBrains, err
}

func SetCloudbrainStatusByJobID(jobID string, status CloudbrainStatus) (err error) {
	cb := &Cloudbrain{JobID: jobID, Status: string(status)}
	_, err = x.Cols("status").Where("cloudbrain.job_id=?", jobID).Update(cb)
	return
}

func SetTrainJobStatusByJobID(jobID string, status string, duration int64, trainjobduration string) (err error) {
	cb := &Cloudbrain{JobID: jobID, Status: string(status), Duration: duration, TrainJobDuration: trainjobduration}
	_, err = x.Cols("status", "duration", "train_job_duration").Where("cloudbrain.job_id=?", jobID).Update(cb)
	return
}

func SetVersionCountAndLatestVersion(jobID string, versionName string, versionCount int, isLatestVersion string, totalVersionCount int) (err error) {
	cb := &Cloudbrain{JobID: jobID, VersionName: versionName, VersionCount: versionCount, IsLatestVersion: isLatestVersion, TotalVersionCount: totalVersionCount}
	_, err = x.Cols("version_Count", "is_latest_version", "total_version_count").Where("cloudbrain.job_id=? AND cloudbrain.version_name=?", jobID, versionName).Update(cb)
	return
}

func UpdateJob(job *Cloudbrain) error {
	return updateJob(x, job)
}

func UpdateJobDurationWithDeleted(job *Cloudbrain) error {
	_, err := x.Exec("update cloudbrain set start_time=?, end_time=?,train_job_duration=?,duration=? where id=?", job.StartTime, job.EndTime, job.TrainJobDuration, job.Duration, job.ID)
	return err
}

func updateJob(e Engine, job *Cloudbrain) error {
	_, err := e.ID(job.ID).AllCols().Update(job)
	return err
}

func UpdateTrainJobVersion(job *Cloudbrain) error {
	return updateJobTrainVersion(x, job)
}

func updateJobTrainVersion(e Engine, job *Cloudbrain) error {
	var sess *xorm.Session
	sess = e.Where("job_id = ? AND version_name=?", job.JobID, job.VersionName)
	_, err := sess.Cols("status", "train_job_duration", "duration", "start_time", "end_time", "created_unix").Update(job)
	return err
}

func DeleteJob(job *Cloudbrain) error {
	return deleteJob(x, job)
}

func deleteJob(e Engine, job *Cloudbrain) error {
	_, err := e.ID(job.ID).Delete(job)
	return err
}

func GetCloudbrainByName(jobName string) (*Cloudbrain, error) {
	cb := &Cloudbrain{JobName: jobName}
	return getRepoCloudBrain(cb)
}

func CanDelJob(isSigned bool, user *User, job *CloudbrainInfo) bool {
	if !isSigned || (job.Status != string(JobStopped) && job.Status != string(JobFailed) && job.Status != string(ModelArtsStartFailed) && job.Status != string(ModelArtsCreateFailed)) {
		return false
	}
	repo, err := GetRepositoryByID(job.RepoID)
	if err != nil {
		log.Error("GetRepositoryByID failed:%v", err.Error())
		return false
	}
	permission, _ := GetUserRepoPermission(repo, user)
	if err != nil {
		log.Error("GetUserRepoPermission failed:%v", err.Error())
		return false
	}

	if (user.ID == job.UserID && permission.AccessMode >= AccessModeWrite) || user.IsAdmin || permission.AccessMode >= AccessModeAdmin {
		return true
	}
	return false
}

func GetCloudBrainUnStoppedJob() ([]*Cloudbrain, error) {
	cloudbrains := make([]*Cloudbrain, 0, 10)
	return cloudbrains, x.
		NotIn("status",
			JobStopped, JobSucceeded, JobFailed, ModelArtsCreateFailed, ModelArtsStartFailed, ModelArtsUnavailable, ModelArtsResizFailed, ModelArtsDeleted,
			ModelArtsStopped, ModelArtsTrainJobCanceled, ModelArtsTrainJobCheckFailed, ModelArtsTrainJobCompleted, ModelArtsTrainJobDeleteFailed, ModelArtsTrainJobDeployServiceFailed,
			ModelArtsTrainJobFailed, ModelArtsTrainJobImageFailed, ModelArtsTrainJobKilled, ModelArtsTrainJobLost, ModelArtsTrainJobSubmitFailed, ModelArtsTrainJobSubmitModelFailed).
		Limit(100).
		Find(&cloudbrains)
}

func GetStoppedJobWithNoDurationJob() ([]*Cloudbrain, error) {
	cloudbrains := make([]*Cloudbrain, 0)
	return cloudbrains, x.
		In("status", ModelArtsTrainJobCompleted, ModelArtsTrainJobFailed, ModelArtsTrainJobKilled, ModelArtsStopped, JobStopped, JobFailed, JobSucceeded).
		Where("train_job_duration is null or train_job_duration = '' ").
		Limit(100).
		Find(&cloudbrains)
}
func GetStoppedJobWithNoStartTimeEndTime() ([]*Cloudbrain, error) {
	cloudbrains := make([]*Cloudbrain, 0)
	return cloudbrains, x.SQL("select * from cloudbrain where status in (?,?,?,?,?,?,?) and (start_time is null or end_time is null) limit 100", ModelArtsTrainJobCompleted, ModelArtsTrainJobFailed, ModelArtsTrainJobKilled, ModelArtsStopped, JobStopped, JobFailed, JobSucceeded).Find(&cloudbrains)
}

func GetCloudbrainCountByUserID(userID int64, jobType string) (int, error) {
	count, err := x.In("status", JobWaiting, JobRunning).And("job_type = ? and user_id = ? and type = ?", jobType, userID, TypeCloudBrainOne).Count(new(Cloudbrain))
	return int(count), err
}

func GetCloudbrainRunCountByRepoID(repoID int64) (int, error) {
	count, err := x.In("status", JobWaiting, JobRunning, ModelArtsCreateQueue, ModelArtsCreating, ModelArtsStarting,
		ModelArtsReadyToStart, ModelArtsResizing, ModelArtsStartQueuing, ModelArtsRunning, ModelArtsDeleting, ModelArtsRestarting, ModelArtsTrainJobInit,
		ModelArtsTrainJobImageCreating, ModelArtsTrainJobSubmitTrying, ModelArtsTrainJobWaiting, ModelArtsTrainJobRunning, ModelArtsStopping, ModelArtsResizing,
		ModelArtsTrainJobScaling, ModelArtsTrainJobCheckInit, ModelArtsTrainJobCheckRunning, ModelArtsTrainJobKilling, ModelArtsTrainJobCheckRunningCompleted).And("repo_id = ?", repoID).Count(new(Cloudbrain))
	return int(count), err
}

func GetBenchmarkCountByUserID(userID int64) (int, error) {
	count, err := x.In("status", JobWaiting, JobRunning).And("(job_type = ? or job_type = ? or job_type = ?) and user_id = ? and type = ?", string(JobTypeBenchmark), string(JobTypeBrainScore), string(JobTypeSnn4imagenet), userID, TypeCloudBrainOne).Count(new(Cloudbrain))
	return int(count), err
}

func GetWaitingCloudbrainCount(cloudbrainType int, computeResource string, jobTypes ...JobType) (int64, error) {
	sess := x.Where("status=? and type=?", JobWaiting, cloudbrainType)
	if len(jobTypes) > 0 {
		sess.In("job_type", jobTypes)
	}
	if computeResource != "" {
		sess.And("compute_resource=?", computeResource)
	}
	return sess.Count(new(Cloudbrain))
}

func GetCloudbrainNotebookCountByUserID(userID int64) (int, error) {
	count, err := x.In("status", ModelArtsCreateQueue, ModelArtsCreating, ModelArtsStarting, ModelArtsReadyToStart, ModelArtsResizing, ModelArtsStartQueuing, ModelArtsRunning, ModelArtsRestarting).
		And("job_type = ? and user_id = ? and type in (?,?)", JobTypeDebug, userID, TypeCloudBrainTwo, TypeCDCenter).Count(new(Cloudbrain))
	return int(count), err
}

func GetCloudbrainTrainJobCountByUserID(userID int64) (int, error) {
	count, err := x.In("status", ModelArtsTrainJobInit, ModelArtsTrainJobImageCreating, ModelArtsTrainJobSubmitTrying, ModelArtsTrainJobWaiting, ModelArtsTrainJobRunning, ModelArtsTrainJobScaling, ModelArtsTrainJobCheckInit, ModelArtsTrainJobCheckRunning, ModelArtsTrainJobCheckRunningCompleted).
		And("job_type = ? and user_id = ? and type = ?", JobTypeTrain, userID, TypeCloudBrainTwo).Count(new(Cloudbrain))
	return int(count), err
}

func GetCloudbrainInferenceJobCountByUserID(userID int64) (int, error) {
	count, err := x.In("status", ModelArtsTrainJobInit, ModelArtsTrainJobImageCreating, ModelArtsTrainJobSubmitTrying, ModelArtsTrainJobWaiting, ModelArtsTrainJobRunning, ModelArtsTrainJobScaling, ModelArtsTrainJobCheckInit, ModelArtsTrainJobCheckRunning, ModelArtsTrainJobCheckRunningCompleted).
		And("job_type = ? and user_id = ? and type = ?", JobTypeInference, userID, TypeCloudBrainTwo).Count(new(Cloudbrain))
	return int(count), err
}

func GetGrampusCountByUserID(userID int64, jobType, computeResource string) (int, error) {
	count, err := x.In("status", GrampusStatusWaiting, GrampusStatusRunning).And("job_type = ? and user_id = ? and type = ?", jobType, userID, TypeC2Net).And("compute_resource = ?", computeResource).Count(new(Cloudbrain))
	return int(count), err
}

func UpdateInferenceJob(job *Cloudbrain) error {
	return updateInferenceJob(x, job)
}

func updateInferenceJob(e Engine, job *Cloudbrain) error {
	var sess *xorm.Session
	sess = e.Where("job_id = ?", job.JobID)
	_, err := sess.Cols("status", "train_job_duration", "duration", "start_time", "end_time", "created_unix").Update(job)
	return err
}
func RestartCloudbrain(old *Cloudbrain, new *Cloudbrain) (err error) {
	sess := x.NewSession()
	defer sess.Close()

	if err = sess.Begin(); err != nil {
		return err
	}

	if _, err = sess.Delete(old); err != nil {
		sess.Rollback()
		return err
	}

	if _, err = sess.NoAutoTime().InsertOne(new); err != nil {
		sess.Rollback()
		return err
	}

	if new.Spec != nil {
		if _, err = sess.Insert(NewCloudBrainSpec(new.ID, *new.Spec)); err != nil {
			sess.Rollback()
			return err
		}
	}

	if err = sess.Commit(); err != nil {
		return err
	}

	go IncreaseDatasetUseCount(new.Uuid)

	return nil
}
func CloudbrainAll(opts *CloudbrainsOptions) ([]*CloudbrainInfo, int64, error) {
	sess := x.NewSession()
	defer sess.Close()

	var cond = builder.NewCond()
	if opts.RepoID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.repo_id": opts.RepoID},
		)
	}

	if opts.UserID > 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.user_id": opts.UserID},
		)
	}

	if (opts.JobID) != "" {
		cond = cond.And(
			builder.Eq{"cloudbrain.job_id": opts.JobID},
		)
	}
	if (opts.ComputeResource) != "" {
		cond = cond.And(
			builder.Eq{"cloudbrain.compute_resource": opts.ComputeResource},
		)
	}

	if (opts.Type) >= 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.type": opts.Type},
		)
	}

	if len(opts.JobTypes) > 0 {
		if opts.JobTypeNot {
			cond = cond.And(
				builder.NotIn("cloudbrain.job_type", opts.JobTypes),
			)
		} else {
			cond = cond.And(
				builder.In("cloudbrain.job_type", opts.JobTypes),
			)
		}
	}

	if (opts.AiCenter) != "" {
		cond = cond.And(
			builder.Like{"cloudbrain.ai_center", opts.AiCenter},
		)
	}
	if (opts.NeedDeleteInfo) != "" {
		if opts.NeedDeleteInfo == "yes" {
			cond = cond.And(
				builder.And(builder.NotNull{"cloudbrain.deleted_at"}),
			)
		}
		if opts.NeedDeleteInfo == "no" {
			cond = cond.And(
				builder.And(builder.IsNull{"cloudbrain.deleted_at"}),
			)
		}
	}

	if (opts.IsLatestVersion) != "" {
		cond = cond.And(builder.Or(builder.And(builder.Eq{"cloudbrain.is_latest_version": opts.IsLatestVersion},
			builder.Eq{"cloudbrain.job_type": "TRAIN"}), builder.Neq{"cloudbrain.job_type": "TRAIN"}))
	}

	if len(opts.CloudbrainIDs) > 0 {
		cond = cond.And(builder.In("cloudbrain.id", opts.CloudbrainIDs))
	}

	if len(opts.JobStatus) > 0 {
		if opts.JobStatusNot {
			cond = cond.And(
				builder.NotIn("cloudbrain.status", opts.JobStatus),
			)
		} else {
			cond = cond.And(
				builder.In("cloudbrain.status", opts.JobStatus),
			)
		}
	}
	if len(opts.RepoIDList) > 0 {
		cond = cond.And(
			builder.In("cloudbrain.repo_id", opts.RepoIDList),
		)

	}
	if opts.BeginTimeUnix > 0 && opts.EndTimeUnix > 0 {
		cond = cond.And(
			builder.And(builder.Gte{"cloudbrain.created_unix": opts.BeginTimeUnix}, builder.Lte{"cloudbrain.created_unix": opts.EndTimeUnix}),
		)
	}

	var count int64
	var err error
	condition := "cloudbrain.user_id = `user`.id"
	if len(opts.Keyword) == 0 {
		count, err = sess.Unscoped().Where(cond).Count(new(Cloudbrain))
	} else {
		lowerKeyWord := strings.ToLower(opts.Keyword)

		cond = cond.And(builder.Or(builder.Like{"LOWER(cloudbrain.job_name)", lowerKeyWord},
			builder.Like{"LOWER(cloudbrain.display_job_name)", lowerKeyWord}, builder.Like{"`user`.lower_name", lowerKeyWord}))
		count, err = sess.Table(&Cloudbrain{}).Unscoped().Where(cond).
			Join("left", "`user`", condition).Count(new(CloudbrainInfo))

	}

	if err != nil {
		return nil, 0, fmt.Errorf("Count: %v", err)
	}

	if opts.Page >= 0 && opts.PageSize > 0 {
		var start int
		if opts.Page == 0 {
			start = 0
		} else {
			start = (opts.Page - 1) * opts.PageSize
		}
		sess.Limit(opts.PageSize, start)
	}

	sess.OrderBy("cloudbrain.created_unix DESC")
	cloudbrains := make([]*CloudbrainInfo, 0, setting.UI.IssuePagingNum)
	if err := sess.Table(&Cloudbrain{}).Unscoped().Where(cond).
		Join("left", "`user`", condition).
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}
	if opts.NeedRepoInfo {
		var ids []int64
		for _, task := range cloudbrains {
			ids = append(ids, task.RepoID)
		}
		repositoryMap, err := GetRepositoriesMapByIDs(ids)
		if err == nil {
			for _, task := range cloudbrains {
				task.Repo = repositoryMap[task.RepoID]
			}
		}

	}

	return cloudbrains, count, nil
}
func CloudbrainAllStatic(opts *CloudbrainsOptions) ([]*CloudbrainInfo, int64, error) {
	sess := x.NewSession()
	defer sess.Close()

	var cond = builder.NewCond()

	if (opts.Type) >= 0 {
		cond = cond.And(
			builder.Eq{"cloudbrain.type": opts.Type},
		)
	}
	if opts.BeginTimeUnix > 0 && opts.EndTimeUnix > 0 {
		cond = cond.And(
			builder.And(builder.Gte{"cloudbrain.created_unix": opts.BeginTimeUnix}, builder.Lte{"cloudbrain.created_unix": opts.EndTimeUnix}),
		)
	}
	var count int64
	var err error
	count, err = sess.Unscoped().Where(cond).Count(new(Cloudbrain))

	if err != nil {
		return nil, 0, fmt.Errorf("Count: %v", err)
	}

	if opts.Page >= 0 && opts.PageSize > 0 {
		var start int
		if opts.Page == 0 {
			start = 0
		} else {
			start = (opts.Page - 1) * opts.PageSize
		}
		sess.Limit(opts.PageSize, start)
	}
	sess.OrderBy("cloudbrain.created_unix DESC")
	cloudbrains := make([]*CloudbrainInfo, 0, setting.UI.IssuePagingNum)
	if err := sess.Cols("status", "type", "job_type", "train_job_duration", "duration", "compute_resource",
		"created_unix", "start_time", "end_time").Table(&Cloudbrain{}).Unscoped().Where(cond).
		Find(&cloudbrains); err != nil {
		return nil, 0, fmt.Errorf("Find: %v", err)
	}
	return cloudbrains, count, nil
}

type DatasetInfo struct {
	DataLocalPath string
	Name          string
}

func GetDatasetInfo(uuidStr string) (map[string]DatasetInfo, string, error) {
	var datasetNames string
	uuids := strings.Split(uuidStr, ";")
	if len(uuids) > setting.MaxDatasetNum {
		log.Error("the dataset count(%d) exceed the limit", len(uuids))
		return nil, datasetNames, errors.New("the dataset count exceed the limit")
	}

	datasetInfos := make(map[string]DatasetInfo)
	attachs, err := GetAttachmentsByUUIDs(uuids)
	if err != nil {
		log.Error("GetAttachmentsByUUIDs failed: %v", err)
		return nil, datasetNames, err
	}
	for i, tmpUuid := range uuids {
		var attach *Attachment
		for _, tmpAttach := range attachs {
			if tmpAttach.UUID == tmpUuid {
				attach = tmpAttach
				break
			}
		}
		if attach == nil {
			log.Error("GetAttachmentsByUUIDs failed: %v", err)
			return nil, datasetNames, err
		}
		fileName := strings.TrimSuffix(strings.TrimSuffix(strings.TrimSuffix(attach.Name, ".zip"), ".tar.gz"), ".tgz")
		for _, datasetInfo := range datasetInfos {
			if fileName == datasetInfo.Name {
				log.Error("the dataset name is same: %v", attach.Name)
				return nil, datasetNames, errors.New("the dataset name is same")
			}
		}

		dataLocalPath := setting.Attachment.Minio.RealPath +
			setting.Attachment.Minio.Bucket + "/" +
			setting.Attachment.Minio.BasePath +
			AttachmentRelativePath(attach.UUID) +
			attach.UUID

		datasetInfos[attach.UUID] = DatasetInfo{
			DataLocalPath: dataLocalPath,
			Name:          fileName,
		}
		if i == 0 {
			datasetNames = attach.Name
		} else {
			datasetNames += ";" + attach.Name
		}
	}

	return datasetInfos, datasetNames, nil
}

var (
	SpecsMapInitFlag                    = false
	CloudbrainDebugResourceSpecsMap     map[int]*ResourceSpec
	CloudbrainTrainResourceSpecsMap     map[int]*ResourceSpec
	CloudbrainInferenceResourceSpecsMap map[int]*ResourceSpec
	CloudbrainBenchmarkResourceSpecsMap map[int]*ResourceSpec
	CloudbrainSpecialResourceSpecsMap   map[int]*ResourceSpec
	GpuInfosMapInitFlag                 = false
	CloudbrainDebugGpuInfosMap          map[string]*GpuInfo
	CloudbrainTrainGpuInfosMap          map[string]*GpuInfo
	CloudbrainInferenceGpuInfosMap      map[string]*GpuInfo
	CloudbrainBenchmarkGpuInfosMap      map[string]*GpuInfo
	CloudbrainSpecialGpuInfosMap        map[string]*GpuInfo
)

func InitCloudbrainOneResourceSpecMap() {
	if CloudbrainDebugResourceSpecsMap == nil || len(CloudbrainDebugResourceSpecsMap) == 0 {
		t := ResourceSpecs{}
		json.Unmarshal([]byte(setting.ResourceSpecs), &t)
		CloudbrainDebugResourceSpecsMap = make(map[int]*ResourceSpec, len(t.ResourceSpec))
		for _, spec := range t.ResourceSpec {
			CloudbrainDebugResourceSpecsMap[spec.Id] = spec
		}
	}
	if CloudbrainTrainResourceSpecsMap == nil || len(CloudbrainTrainResourceSpecsMap) == 0 {
		t := ResourceSpecs{}
		json.Unmarshal([]byte(setting.TrainResourceSpecs), &t)
		CloudbrainTrainResourceSpecsMap = make(map[int]*ResourceSpec, len(t.ResourceSpec))
		for _, spec := range t.ResourceSpec {
			CloudbrainTrainResourceSpecsMap[spec.Id] = spec
		}
	}
	if CloudbrainInferenceResourceSpecsMap == nil || len(CloudbrainInferenceResourceSpecsMap) == 0 {
		t := ResourceSpecs{}
		json.Unmarshal([]byte(setting.InferenceResourceSpecs), &t)
		CloudbrainInferenceResourceSpecsMap = make(map[int]*ResourceSpec, len(t.ResourceSpec))
		for _, spec := range t.ResourceSpec {
			CloudbrainInferenceResourceSpecsMap[spec.Id] = spec
		}
	}
	if CloudbrainBenchmarkResourceSpecsMap == nil || len(CloudbrainBenchmarkResourceSpecsMap) == 0 {
		t := ResourceSpecs{}
		json.Unmarshal([]byte(setting.BenchmarkResourceSpecs), &t)
		CloudbrainBenchmarkResourceSpecsMap = make(map[int]*ResourceSpec, len(t.ResourceSpec))
		for _, spec := range t.ResourceSpec {
			CloudbrainBenchmarkResourceSpecsMap[spec.Id] = spec
		}
	}
	if CloudbrainSpecialResourceSpecsMap == nil || len(CloudbrainSpecialResourceSpecsMap) == 0 {
		t := SpecialPools{}
		json.Unmarshal([]byte(setting.SpecialPools), &t)
		for _, pool := range t.Pools {
			CloudbrainSpecialResourceSpecsMap = make(map[int]*ResourceSpec, len(pool.ResourceSpec))
			for _, spec := range pool.ResourceSpec {
				CloudbrainSpecialResourceSpecsMap[spec.Id] = spec
			}
		}
	}
	SpecsMapInitFlag = true
}

func InitCloudbrainOneGpuInfoMap() {
	if CloudbrainDebugGpuInfosMap == nil || len(CloudbrainDebugGpuInfosMap) == 0 {
		t := GpuInfos{}
		json.Unmarshal([]byte(setting.GpuTypes), &t)
		CloudbrainDebugGpuInfosMap = make(map[string]*GpuInfo, len(t.GpuInfo))
		for _, GpuInfo := range t.GpuInfo {
			CloudbrainDebugGpuInfosMap[GpuInfo.Queue] = GpuInfo
		}
	}
	if CloudbrainTrainGpuInfosMap == nil || len(CloudbrainTrainGpuInfosMap) == 0 {
		t := GpuInfos{}
		json.Unmarshal([]byte(setting.TrainGpuTypes), &t)
		CloudbrainTrainGpuInfosMap = make(map[string]*GpuInfo, len(t.GpuInfo))
		for _, GpuInfo := range t.GpuInfo {
			CloudbrainTrainGpuInfosMap[GpuInfo.Queue] = GpuInfo
		}
	}
	if CloudbrainInferenceGpuInfosMap == nil || len(CloudbrainInferenceGpuInfosMap) == 0 {
		t := GpuInfos{}
		json.Unmarshal([]byte(setting.InferenceGpuTypes), &t)
		CloudbrainInferenceGpuInfosMap = make(map[string]*GpuInfo, len(t.GpuInfo))
		for _, GpuInfo := range t.GpuInfo {
			CloudbrainInferenceGpuInfosMap[GpuInfo.Queue] = GpuInfo
		}
	}
	if CloudbrainBenchmarkGpuInfosMap == nil || len(CloudbrainBenchmarkGpuInfosMap) == 0 {
		t := GpuInfos{}
		json.Unmarshal([]byte(setting.BenchmarkGpuTypes), &t)
		CloudbrainBenchmarkGpuInfosMap = make(map[string]*GpuInfo, len(t.GpuInfo))
		for _, GpuInfo := range t.GpuInfo {
			CloudbrainBenchmarkGpuInfosMap[GpuInfo.Queue] = GpuInfo
		}
	}
	if CloudbrainSpecialGpuInfosMap == nil || len(CloudbrainSpecialGpuInfosMap) == 0 {
		t := SpecialPools{}
		json.Unmarshal([]byte(setting.SpecialPools), &t)
		for _, pool := range t.Pools {
			CloudbrainSpecialGpuInfosMap = make(map[string]*GpuInfo, len(pool.Pool))
			for _, GpuInfo := range pool.Pool {
				CloudbrainSpecialGpuInfosMap[GpuInfo.Queue] = GpuInfo
			}
		}
	}
	GpuInfosMapInitFlag = true
}
func GetNewestJobsByAiCenter() ([]int64, error) {
	ids := make([]int64, 0)
	return ids, x.
		Select("max(id) as id").
		Where("type=? and ai_center!='' and ai_center is not null", TypeC2Net).
		GroupBy("ai_center").
		Table(Cloudbrain{}).
		Find(&ids)
}

func GetNewestJobsByType() ([]int64, error) {
	ids := make([]int64, 0)
	return ids, x.
		Select("max(id) as id").
		In("type", TypeCloudBrainOne, TypeCloudBrainTwo).
		GroupBy("type").
		Table(Cloudbrain{}).
		Find(&ids)
}

func GetCloudbrainByIDs(ids []int64) ([]*Cloudbrain, error) {
	cloudbrains := make([]*Cloudbrain, 0)
	return cloudbrains, x.
		In("id", ids).
		Find(&cloudbrains)
}

func GetCloudbrainWithDeletedByIDs(ids []int64) ([]*Cloudbrain, error) {
	cloudbrains := make([]*Cloudbrain, 0)
	return cloudbrains, x.
		In("id", ids).Unscoped().Find(&cloudbrains)
}

func GetCloudbrainCountByJobName(jobName, jobType string, typeCloudbrain int) (int, error) {
	count, err := x.Where("job_name = ? and job_type= ? and type = ?", jobName, jobType, typeCloudbrain).Count(new(Cloudbrain))
	return int(count), err
}

func LoadSpecs(tasks []*Cloudbrain) error {
	cloudbrainIds := make([]int64, len(tasks))
	for i, v := range tasks {
		cloudbrainIds[i] = v.ID
	}
	specs := make([]*CloudbrainSpec, 0)
	err := x.In("cloudbrain_id", cloudbrainIds).Find(&specs)
	if err != nil {
		return err
	}
	specMap := make(map[int64]*CloudbrainSpec)
	for _, v := range specs {
		specMap[v.SpecId] = v
	}
	for _, v := range tasks {
		if specMap[v.ID] != nil {
			v.Spec = specMap[v.ID].ConvertToSpecification()
		}
	}
	return nil
}

func LoadSpecs4CloudbrainInfo(tasks []*CloudbrainInfo) error {
	cloudbrainIds := make([]int64, len(tasks))
	for i, v := range tasks {
		cloudbrainIds[i] = v.Cloudbrain.ID
	}
	specs := make([]*CloudbrainSpec, 0)
	err := x.In("cloudbrain_id", cloudbrainIds).Find(&specs)
	if err != nil {
		return err
	}
	specMap := make(map[int64]*CloudbrainSpec)
	for _, v := range specs {
		specMap[v.CloudbrainID] = v
	}
	for _, v := range tasks {
		if specMap[v.Cloudbrain.ID] != nil {
			v.Cloudbrain.Spec = specMap[v.Cloudbrain.ID].ConvertToSpecification()
		}
	}
	return nil
}