data.go

package osd_df

import (
	"encoding/json"

	"github.com/elastic/beats/libbeat/common"
	"github.com/elastic/beats/libbeat/logp"
)

type Node struct {
	ID          int64  `json:"id"`
	Name        string `json:"name"`
	Used        int64  `json:"kb_used"`
	Available   int64  `json:"kb_avail"`
	Total       int64  `json:"kb"`
	PgNum       int64  `json:"pgs"`
	DeviceClass string `json:"device_class"`
}

type Output struct {
	Nodes []Node `json:"nodes"`
}

type OsdDfRequest struct {
	Status string `json:"status"`
	Output Output `json:"output"`
}

func eventsMapping(content []byte) ([]common.MapStr, error) {
	var d OsdDfRequest
	err := json.Unmarshal(content, &d)
	if err != nil {
		logp.Err("Error: ", err)
		return nil, err
	}

	nodeList := d.Output.Nodes

	//osd node list
	events := []common.MapStr{}
	for _, node := range nodeList {
		nodeInfo := common.MapStr{
			"id":             node.ID,
			"name":           node.Name,
			"total.byte":     node.Total,
			"used.byte":      node.Used,
			"available.byte": node.Available,
			"device_class":   node.DeviceClass,
			"pg_num":         node.PgNum,
		}

		if 0 != node.Total {
			var usedPct float64
			usedPct = float64(node.Used) / float64(node.Total)
			nodeInfo["used.pct"] = usedPct
		}

		events = append(events, nodeInfo)
	}

	return events, nil
}