pcm-coordinator/internal/logic/hpc/resourcelogic.go

59 lines
1.8 KiB
Go

package hpc
import (
"context"
"gitlink.org.cn/JointCloud/pcm-coordinator/internal/svc"
"gitlink.org.cn/JointCloud/pcm-coordinator/internal/types"
"github.com/zeromicro/go-zero/core/logx"
)
type ResourceLogic struct {
logx.Logger
ctx context.Context
svcCtx *svc.ServiceContext
}
func NewResourceLogic(ctx context.Context, svcCtx *svc.ServiceContext) *ResourceLogic {
return &ResourceLogic{
Logger: logx.WithContext(ctx),
ctx: ctx,
svcCtx: svcCtx,
}
}
func (l *ResourceLogic) Resource(req *types.HpcResourceReq) (resp *types.HpcResourceResp, err error) {
type hpcResourceOV struct {
CpuAvail float64 `json:"cpu_avail"`
CpuTotal float64 `json:"cpu_total"`
MemAvail float64 `json:"mem_avail"`
MemTotal float64 `json:"mem_total"`
DiskAvail float64 `json:"disk_avail"`
DiskTotal float64 `json:"disk_total"`
GpuAvail float64 `json:"gpu_avail"`
GpuTotal float64 `json:"gpu_total"`
}
var hrov hpcResourceOV
l.svcCtx.DbEngin.Raw("SELECT sum(cpu_avail) as cpu_avail,sum(cpu_total) as cpu_total,sum(mem_avail) as mem_avail,sum(mem_total) as mem_total,sum(disk_avail) as disk_avail,sum(disk_total) as disk_total,sum(gpu_avail) as gpu_avail,sum(gpu_total) as gpu_total FROM t_cluster_resource where cluster_type = 2").Scan(&hrov)
hpcResource := types.HPCResource{
GPUCardsTotal: hrov.GpuTotal,
CPUCoresTotal: hrov.CpuTotal,
RAMTotal: hrov.MemTotal,
GPUCardsUsed: hrov.GpuTotal - hrov.GpuAvail,
CPUCoresUsed: hrov.CpuTotal - hrov.CpuAvail,
RAMUsed: hrov.MemTotal - hrov.MemAvail,
GPURate: (hrov.GpuTotal - hrov.GpuAvail) / hrov.GpuTotal,
CPURate: (hrov.CpuTotal - hrov.CpuAvail) / hrov.CpuTotal,
RAMRate: (hrov.MemTotal - hrov.MemAvail) / hrov.MemTotal,
}
resp = &types.HpcResourceResp{
Code: 200,
Msg: "success",
Data: hpcResource,
}
return resp, nil
}