metrics

const (
	MetricJobTime        = "pf_metric_job_time"
	MetricQueueInfo      = "pf_metric_queue_info"
	MetricJobGPUInfo     = "pf_metric_job_gpu_info"
	MetricApiDuration    = "pf_metric_api_duration_millisecond"
	MetricRunDuration    = "pf_metric_run_duration_millisecond"
	MetricRunJobDuration = "pf_metric_runJob_duration_millisecond"
)

const (
	JobIDLabel          = "jobID"
	GpuIdxLabel         = "id"
	StatusLabel         = "status"
	QueueIDLabel        = "queueID"
	FinishedStatusLabel = "finishedStatus"
	QueueNameLabel      = "queueName"
	UserNameLabel       = "userName"
	ResourceLabel       = "resource"
	TypeLabel           = "type"
	BaiduGpuIndexLabel  = "baidu_com_gpu_idx"

	ApiNameLabel       = "apiName"
	RequestMethodLabel = "method"
	ResponseCodeLabel  = "code"
	RunIDLabel         = "runID"
	RunStageLabel      = "runStage"
	RunStepNameLabel   = "runStepName"
	RunStepStageLabel  = "runStepStage"
	RunJobStageLabel   = "runJobStage"
	RequestIDLabel     = "requestID"
	RunJobIDLabel      = "runJobID"
)

const (
	MinTimePoint = T1
	MinStatus    = StatusDBInserting
	MaxTimePoint = T8
	MaxStatus    = StatusRunning
)

const (
	MaxNum       = 10000
	Timeout      = time.Hour
	ZeroDuration = time.Duration(0)
)

const (
	QueueTypeMaxResource    = "maxResource"
	QueueTypeMinResource    = "minResource"
	QueueTypeScalarResource = "scalarResource"
)

const (
	// 开始创建run的时间
	StageRunStartTime stageTimeType = "run start"

	// run处于終态的时间
	StageRunEndTime stageTimeType = "run end"

	// 开始解析 runyaml 的时间
	StageRunParseStartTime stageTimeType = "run parse start"

	// 完成 runyaml 解析的时间
	StageRunParseEndTime stageTimeType = "run parse end"

	// 对runyaml 以及相关参数进行校验的开始时间
	StageRunValidateStartTime stageTimeType = "run validate start"

	// 完成对runyaml 以及相关参数进行校验的结束时间
	StageRunValidateEndTime stageTimeType = "run validate end"

	// 开始进行Run后处理的时间：即Run检测到处于终态的时间
	StageRunAftertreatmentStartTime stageTimeType = "run aftertreatment start"

	// 开始进行Step的调度时间：即确定Step可以运行的时间点
	StageStepScheduleStartTime stageTimeType = "step schedule start"

	// Job 开始调度的时间，等价于StageStepScheduleStartTime
	// 这里需要再次进行记录是因为循环结构中，不同的job的调度结束时间不一致，为了方便计算每个job的调度时间，所以会在每一个jobTimeRecorder单独记录一次
	// 在StepTimeRecorder中记录该时间点，是因为在Job阶段无法获取到改信息，因此需要在StepTimeRecorder进行记录，然后在jobTimeRecorder进行拷贝操作。
	StageJobScheduleStartTime stageTimeType = "job schedule start"

	// 完成job调度的时间：即在调用Job模块的Create前的时间
	StageJobScheduleEndTime stageTimeType = "job schedule end"

	// 完成Job创建的时间
	StageJobCreateEndTime stageTimeType = "job create end"

	// 开始进行 Job 后处理的时间：也即Job处于終态的时间点
	StageJobAftertreatmentStartTime stageTimeType = "job aftertreatment start"

	// 完成Job 后处理的时间：也即 Job的終态写入数据库的时间
	StageJobAftertreatmentEndTime stageTimeType = "job aftertreatment end"
)

const (
	// run stage
	StageRunExecuteDuration        = "execution"
	StageRunParseDuration          = "parse"
	StageRunValidateDuration       = "validate"
	StageRunAftertreatmentDuration = "aftertreatment"

	// job stage
	StageRunJobScheduleDuration       = "job schedule"
	StageRunJobCreateDuration         = "job create"
	StageRunJobAftertreatmentDuration = "job aftertreatment"
)

const (
	PromQLQueryPodAnnotations = "kube_pod_annotations{pod~=\"%s\"}"
	PromQLQueryPodLabels      = "kube_pod_labels{pod~=\"%s\"}"
)

const (
	DefaultMetricPort = 8231
)

const (
	QueryTimeout = time.Second * 1
)