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package main | |
import ( | |
"encoding/json" | |
"log" | |
) | |
type Usage struct { | |
IP string | |
Connections int | |
RxBytes int64 | |
RxPackets int64 | |
TxBytes int64 | |
TxPackets int64 | |
} | |
func (a *Usage) UnmarshalJSON(b []byte) error { | |
row := []interface{}{} | |
if err := json.Unmarshal(b, &row); err != nil { | |
return err | |
} | |
a.IP = row[0].(string) | |
a.Connections = int(row[1].(float64)) | |
a.RxBytes = int64(row[2].(float64)) | |
a.RxPackets = int64(row[3].(float64)) | |
a.TxBytes = int64(row[4].(float64)) | |
a.TxPackets = int64(row[5].(float64)) | |
return nil | |
} | |
type AllUsage struct { | |
Data []Usage `json:"data"` | |
Columns []string `json:"columns"` | |
} | |
func main() { | |
data := `{"columns":["ip","conns","rx_bytes","rx_pkts","tx_bytes","tx_pkts"],"data":[["192.168.1.3",49696,2628175385,2659880,55066470,1003162],["192.168.1.24",10041,463614449,498139,19305939,209256],["192.168.1.98",2546,295968431,221923,5485406,29572],["192.168.1.97",61126,235012840,250040,26214901,132459],["192.168.1.80",12492,90917682,93215,7744563,33601],["192.168.1.21",4642,21735476,59719,4862780,31633],["192.168.1.94",20164,11189262,43500,5446658,43895],["192.168.1.5",8805,9865985,17105,7242133,17953],["192.168.2.2",33454,3153765,21368,554444,8679],["192.168.1.30",1509,1214044,2059,668581,2748],["192.168.1.12",6844,735386,6594,3388692,16999],["192.168.1.177",831,582732,1247,331983,1379],["192.168.1.6",365,163282,457,58538,508],["192.168.1.8",1409,147000,1750,133076,1751],["192.168.1.174",513,70918,206,10768,87],["192.168.1.4",44,34712,75,26192,100],["192.168.1.109",68,25267,193,45116,196],["192.168.1.201",42,7516,26,9104,29],["192.168.1.202",38,7492,26,12276,29],["192.168.1.200",39,7492,26,11047,29],["192.168.1.13",140,5232,48,3048,48],["192.168.1.9",117,3040,40,3040,40],["192.168.1.247",2110,0,0,111496,724]]}` | |
usage := &AllUsage{} | |
json.Unmarshal([]byte(data), usage) | |
log.Printf("usage %d %s", len(usage.Data), usage.Data) | |
log.Printf("Columns %d %s", len(usage.Columns), usage.Columns) | |
} |
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