BBIT-Kai
67 lines
1.4 KiB
Go
67 lines
1.4 KiB
Go
package main
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import (
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"context"
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"fmt"
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"sentinel/pkg/device"
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"sentinel/pkg/log"
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"sentinel/pkg/model"
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api "sentinel/pkg/net"
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"sentinel/pkg/storage"
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)
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func test() {
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// 0. 从海康SDK获取图片以及信息
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record := loadData()
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// 1. 上传图片到OSS
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uploadFile(record.LicensePlateImage, record.VehicleImage)
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// 2. 调用分析请求
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analytics(record)
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}
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func loadData() model.Record {
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return model.Record{
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DeviceId: device.GetDeviceID(),
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LicensePlate: "晋A-888888",
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LicensePlateImage: "licensePlateImage_test1.jpg",
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VehicleType: "大型货车",
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VehicleImage: "vehicleImage_test1.jpg",
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}
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}
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func uploadFile(licensePlateImage string, vehicleImage string) {
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if err := storage.Init(); err != nil {
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log.Fatal(err)
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}
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// todo 需要压缩图片至1~3MB
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size, err := storage.UploadFile(
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context.Background(),
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"sentinel",
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"license_plate/"+licensePlateImage,
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"tmp/"+licensePlateImage,
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"image/jpeg",
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)
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if err != nil {
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log.Fatal(err)
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}
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log.Println(fmt.Sprintf("车牌照已上传完毕, 大小： = %d KB", size/1024))
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size, err = storage.UploadFile(
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context.Background(),
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"sentinel",
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"vehicle_image/"+vehicleImage,
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"tmp/"+vehicleImage,
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"image/jpeg",
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)
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if err != nil {
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log.Fatal(err)
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}
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log.Println(fmt.Sprintf("车身照已上传完毕, 大小： = %d KB", size/1024))
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}
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func analytics(record model.Record) {
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err := api.Analytics(record)
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if err != nil {
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return
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}
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}
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