import { Component, OnInit, ViewContainerRef } from '@angular/core';
import { ActivatedRoute, Route, Router } from '@angular/router';
import { FormBuilder, FormControl, FormGroup, Validators } from '@angular/forms';
import { NzFormTooltipIcon } from 'ng-zorro-antd/form';
import { NzModalService } from 'ng-zorro-antd/modal';
import { AddcameraComponent } from './addcamera/addcamera.component';
import { NzMessageService } from 'ng-zorro-antd/message';
import { HttpClient, HttpErrorResponse, HttpResponse } from '@angular/common/http';
import { EditcameraComponent } from './editcamera/editcamera.component';
import { catchError, tap } from 'rxjs/operators';
import { ConfigFormDataService } from 'src/app/service/configFormData.service';
import { SendFileComponent } from './send-file/send-file.component';
import { ImageLabel2Component } from '../image-label2/image-label2.component';
interface Camera {
  name: string;
  user: string;
  password: string;
  uri: string;
  type: number;
  order: number;
  dimensionedPoints: string,
  isEnabled: boolean
}

@Component({
  selector: 'app-host-config',
  templateUrl: './host-config.component.html',
  styleUrls: ['./host-config.component.scss']
})

export class HostConfigComponent implements OnInit {


  constructor(private router: Router, private route: ActivatedRoute, private fb: FormBuilder, private modal: NzModalService, private message: NzMessageService, private viewContainerRef: ViewContainerRef, private http: HttpClient, public configFormData: ConfigFormDataService,) { }

  hostId//主机id
  orId//加油站id
  ngOnInit(): void {
    this.hostId = this.route.snapshot.queryParams.hostId
    this.orId = this.route.snapshot.queryParams.orId
    this.getCamera()

    this.http.get(`/api/EdgeDevices/${this.hostId}`).subscribe(
      {
        next: ((data: any) => {
          console.log(data)
          // let isExist = data.configFiles.find((item, index, arr) => {
          //   if (item.name == 'source.yaml') {
          //     console.log("存在", index)
          //     return item
          //   }
          // })
          if (data.configFiles && data.configFiles.length != 0) {
            this.isSourceYaml = true
          } else {
            this.isSourceYaml = false
          }
        }),
        error: (err) => {
          // this.message.create('error', '请先下发source.yaml配置');
        }
      }


    )
  }
  listOfData: Camera[] = [];
  goback() {
    history.go(-1)
  }
  //摄像头
  isLoading = false
  getCamera() {
    let params = {
      ContainsChildren: true,
      EdgeDeviceId: this.hostId,
      pageNumber: 1,
      pageSize: 99
    }
    this.isLoading = true
    this.http.get('/api/Cameras', { params: params }).subscribe((data: any) => {
      data.items.forEach(element => {
        element.dimensionedPointsObj = JSON.parse(element.dimensionedPoints)
      });
      this.listOfData = data.items
      this.isLoading = false
      console.log('摄像头列表', data.items)
    })
  }
  addCamera() {
    const modal = this.modal.create({
      nzTitle: '新增加油站摄像头',
      nzContent: AddcameraComponent,
      nzViewContainerRef: this.viewContainerRef,
      nzWidth: 388,
      nzComponentParams: {},
      nzOnOk: async () => {
        if (instance.validateForm.valid) {
          await new Promise((resolve, rejects) => {
            console.log('表单信息', instance.validateForm)
            let body = {
              name: instance.validateForm.value.name,
              user: instance.validateForm.value.user,
              password: instance.validateForm.value.password,
              uri: instance.validateForm.value.uri,
              type: instance.validateForm.value.type,
              organizationId: this.orId,
              edgeDeviceId: this.hostId,
              // order: instance.validateForm.value.order,
            }
            this.http.post('/api/Cameras', body).subscribe({
              next: data => {
                resolve(data)
                this.message.create('success', '创建成功！');
                this.getCamera()
                this.isSourceYaml = false
                return true
              },
              error: (err) => {
                rejects(err)
                return false
              }
            })
          })
        } else {
          this.message.create('warning', '请填写完整！');
          return false
        }
      }
    });
    const instance = modal.getContentComponent();
  }
  editCamera(data) {
    console.log(data)
    const modal = this.modal.create({
      nzTitle: '编辑加油站摄像头',
      nzContent: EditcameraComponent,
      nzViewContainerRef: this.viewContainerRef,
      nzWidth: 388,
      nzComponentParams: {
        data: data
      },
      nzOnOk: async () => {
        if (instance.validateForm.valid) {
          await new Promise(resolve => {
            console.log('表单信息', instance.validateForm)
            let body = {
              name: instance.validateForm.value.name,
              user: instance.validateForm.value.user,
              password: instance.validateForm.value.password,
              uri: instance.validateForm.value.uri,
              type: instance.validateForm.value.type,
              organizationId: this.orId,
              edgeDeviceId: this.hostId,
              order: instance.validateForm.value.order,
            }
            this.http.put(`/api/Cameras/${data.id}`, body).subscribe(data => {
              resolve(data)
              this.message.create('success', '编辑成功！');
              this.getCamera()
              this.isSourceYaml = false
              return true
            })
          })
        } else {
          this.message.create('warning', '请填写完整！');
          return false
        }
      }
    });
    const instance = modal.getContentComponent();
  }
  deleteCamera(item) {
    console.log(item)
    this.modal.confirm({
      nzTitle: `确定要删除${item.name}这个摄像头吗?`,
      nzOkText: '确定',
      nzOkType: 'default',
      nzOnOk: () => {
        this.http.delete(`/api/Cameras/${item.id}`).subscribe(data => {
          this.message.create('success', '删除成功！');
          this.getCamera()
          this.isSourceYaml = false
        })
      },
      nzCancelText: '取消'
    });
  }


  isSourceYaml: boolean

  label(item) {

    this.http.get(`/api/EdgeDevices/${this.hostId}`).subscribe(
      {
        next: ((data: any) => {
          if (data.configFiles) {
            this.isSourceYaml = true
            const element = document.documentElement
            if (element.requestFullscreen) { //进入全屏
              element.requestFullscreen();
            }
            const modal = this.modal.create({
              nzContent: ImageLabel2Component,
              nzViewContainerRef: this.viewContainerRef,
              nzWidth: 1920,
              nzClosable: false,
              nzFooter: null,
              nzWrapClassName: 'canvasContentBox',
              nzBodyStyle: {
                'border-radius': '0px',
                'padding': '0px',
                'margin': '0px',
              },
              nzComponentParams: {
                data: item.id
              },
              nzOnOk: async () => {

              }
            });
            const instance = modal.getContentComponent();

            modal.afterClose.subscribe(result => {
              this.ngOnInit()
            });
            //this.router.navigate(['/system/host/camera/imageLabel'], { queryParams: { id: item.id } })
          } else {
            this.isSourceYaml = false
            this.message.create('error', '请先下发source.yaml配置');
          }
        }),
        error: (err) => {
          // this.message.create('error', '请先下发source.yaml配置');
        }
      }


    )


  }

  connect() {

    // let isAllLabel = this.listOfData.find((item: any) => {
    //   if (item.type != 1 && !item.dimensionedPoints) {
    //     console.log('存在摄像头未标注的情况')
    //     return item
    //   }
    // })
    // if (isAllLabel) {
    //   this.message.create('error', '存在摄像头未标注的情况');
    //   return
    // }
    // let ids = []
    // this.listOfData.forEach((item: any) => {
    //   ids.push(item.id)
    // })
    // this.http.get('/api/Cameras/Statuses', {
    //   params: { ids: ids }
    // }).subscribe({
    //   next: (data) => {
    //     console.log('连接状态', data)

    //   },
    //   error: (err) => {
    //     console.log('连接失败', err)
    //   }
    // })
    this.disposalData()
    this.router.navigate(['/system/host/camera/configForm'], { queryParams: { 'hostId': this.hostId, 'orId': this.orId } })
  }

  forbidden(item) {
    console.log(item)
    let body = {
      isEnabled: !item.isEnabled,
    }
    this.http.put(`/api/Cameras/${item.id}`, body).subscribe(data => {
      this.message.create('success', '修改成功！');
      this.getCamera()
    })
  }
  sourceYaml() {
    let copyListOfData = JSON.parse(JSON.stringify(this.listOfData))
    copyListOfData = copyListOfData.filter((item, i) => {
      return item.isEnabled;
    })
    let config4 = `video_rate: 5
inference_buffer_second: 10
sources:`
    copyListOfData.forEach((item: any, index) => {
      if (item.type == 3 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ',' + arrowArr[1].startY + ',' + arrowArr[1].endX + ',' + arrowArr[1].endY + ',' + arrowArr[0].startX + ',' + arrowArr[0].startY + ',' + arrowArr[0].endX + ',' + arrowArr[0].endY
        config4 += `
  - name: '${item.name}'
    user: '${item.user}'
    password: '${item.password}'
    uri: '${item.uri}'
    type: ${item.type}
    line-crossing-Entry: [${str}]
    `
      } else if (item.type == 2 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0 && item.dimensionedPointsObj.arrowOfWest && item.dimensionedPointsObj.arrowOfWest.length == 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ',' + arrowArr[1].startY + ',' + arrowArr[1].endX + ',' + arrowArr[1].endY + ',' + arrowArr[0].startX + ',' + arrowArr[0].startY + ',' + arrowArr[0].endX + ',' + arrowArr[0].endY
        config4 += `
  - name: '${item.name}'
    user: '${item.user}'
    password: '${item.password}'
    uri: '${item.uri}'
    type: ${item.type}
    line-crossing-Entry: [${str}]
    `
      } else if (item.type == 2 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0 && item.dimensionedPointsObj.arrowOfWest && item.dimensionedPointsObj.arrowOfWest.length != 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ',' + arrowArr[1].startY + ',' + arrowArr[1].endX + ',' + arrowArr[1].endY + ',' + arrowArr[0].startX + ',' + arrowArr[0].startY + ',' + arrowArr[0].endX + ',' + arrowArr[0].endY
        let arrowArr2 = item.dimensionedPointsObj.arrowOfWest
        let str2 = arrowArr2[1].startX + ',' + arrowArr2[1].startY + ',' + arrowArr2[1].endX + ',' + arrowArr2[1].endY + ',' + arrowArr2[0].startX + ',' + arrowArr2[0].startY + ',' + arrowArr2[0].endX + ',' + arrowArr2[0].endY
        let str3 = '[' + str + ',' + str2 + ']'
        config4 += `
  - name: '${item.name}'
    user: '${item.user}'
    password: '${item.password}'
    uri: '${item.uri}'
    type: ${item.type}
    line-crossing-Entry: ${str3}
    `
      } else {
        config4 += `
  - name: '${item.name}'
    user: '${item.user}'
    password: '${item.password}'
    uri: '${item.uri}'
    type: ${item.type}
    `
      }


    })
    const modal = this.modal.create({
      nzTitle: '下发source.yaml配置',
      nzContent: SendFileComponent,
      nzViewContainerRef: this.viewContainerRef,
      nzWidth: 1000,
      nzBodyStyle: {
        'border-radius': '0px',
        'padding': '7px',
      },
      nzComponentParams: {
        data: config4
      },
      nzOnOk: async () => {

        await new Promise(resolve => {
          console.log('表单信息', instance.validateForm)
          let body = {
            configFiles: [
              { name: 'source.yaml', content: instance.datacopy }
            ]
          }
          this.http.put(`/api/EdgeDevices/${this.hostId}`, body).subscribe({
            next: (data) => {
              this.message.create('success', `文件保存成功`);
              resolve('成功了')
              this.isSourceYaml = true
              let params = {
                edgeDeviceId: this.hostId,
                fileName: 'source.yaml'
              }
              this.http.put('/api/EdgeDevices/Commands/PushFile', '', { params: params }).subscribe({
                next: (data) => {
                  this.message.create('success', `发送文件名成功`);
                },
                error: err => {
                  // this.message.create('error', `发送文件名失败`);
                  // reject('失败了')
                }
              })
            },
            error: (err) => {
              // this.message.create('error', `文件保存失败`);
            }
          })

        })

      }
    });
    const instance = modal.getContentComponent();
  }
  //整理配置文件数据
  disposalData() {

    let copyListOfData = JSON.parse(JSON.stringify(this.listOfData))
    copyListOfData = copyListOfData.filter((item, i) => {
      return item.isEnabled;
    })

    console.log('摄像头列表', copyListOfData)

    // return

    let config1 = `[property]
enable=1
#Width height used for configuration to which below configs are configured
config-width=1980
config-height=1080
#osd-mode 0: Dont display any lines, rois and text
#         1: Display only lines, rois and static text i.e. labels
#         2: Display all info from 1 plus information about counts
osd-mode=2
#Set OSD font size that has to be displayed
display-font-size=12
    `
    let config2 = ''
    let config3 = ''
    let config4 = `test_action: true
logging_interval : 600
    `
    let xieyouqu = []
    let order
    copyListOfData.forEach((item: any, index) => {
      if (item.type == 2) {
        xieyouqu.push(item)
        order = item.order
      }

      if (item.type == 0 && item.dimensionedPointsObj && item.dimensionedPointsObj.polygon.length != 0) {
        let str = ''
        item.dimensionedPointsObj ? item.dimensionedPointsObj.polygon.forEach(element => {
          str += element.x + ';'
          str += element.y + ';'
        }) : 0;
        str = str.substring(0, str.lastIndexOf(';'))
        console.log('进出口多边形', str)
        config1 += `
## Per stream configuration
[roi-filtering-stream-${item.order}]
#enable or disable following feature
enable=1
#ROI to filter select objects, and remove from meta data
roi-RF=${str}
#remove objects in the ROI
inverse-roi=0
class-id=-1
      `
      }
      if (item.type == 3 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ';' + arrowArr[1].startY + ';' + arrowArr[1].endX + ';' + arrowArr[1].endY + ';' + arrowArr[0].startX + ';' + arrowArr[0].startY + ';' + arrowArr[0].endX + ';' + arrowArr[0].endY
        config1 += `
[line-crossing-stream-${item.order}]
enable=1
#Label;direction;lc
line-crossing-Entry=${str}
class-id=0
extended=0
mode=strict
      `
      }
      if (item.type == 2 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0 && item.dimensionedPointsObj.arrowOfWest && item.dimensionedPointsObj.arrowOfWest.length == 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ';' + arrowArr[1].startY + ';' + arrowArr[1].endX + ';' + arrowArr[1].endY + ';' + arrowArr[0].startX + ';' + arrowArr[0].startY + ';' + arrowArr[0].endX + ';' + arrowArr[0].endY
        config1 += `
[line-crossing-stream-${item.order}]
enable=1
#Label;direction;lc
line-crossing-Entry=${str}
class-id=0
extended=0
mode=strict
      `
      }
      if (item.type == 2 && item.dimensionedPointsObj && item.dimensionedPointsObj.arrow.length != 0 && item.dimensionedPointsObj.arrowOfWest && item.dimensionedPointsObj.arrowOfWest.length != 0) {
        let arrowArr = item.dimensionedPointsObj.arrow
        let str = arrowArr[1].startX + ';' + arrowArr[1].startY + ';' + arrowArr[1].endX + ';' + arrowArr[1].endY + ';' + arrowArr[0].startX + ';' + arrowArr[0].startY + ';' + arrowArr[0].endX + ';' + arrowArr[0].endY
        let arrowArr2 = item.dimensionedPointsObj.arrowOfWest
        let str2 = arrowArr2[1].startX + ';' + arrowArr2[1].startY + ';' + arrowArr2[1].endX + ';' + arrowArr2[1].endY + ';' + arrowArr2[0].startX + ';' + arrowArr2[0].startY + ';' + arrowArr2[0].endX + ';' + arrowArr2[0].endY

        config1 += `
[line-crossing-stream-${item.order}]
enable=1
#Label;direction;lc
line-crossing-Entry1=${str}
class-id=0
extended=0
mode=strict
line-crossing-Entry2=${str2}
class-id=0
extended=0
mode=strict
      `
      }


    })
    //新增东南西北参数
    copyListOfData.forEach(element => {
      if (element.type == 2 || element.type == 3) {//卸油区
        let obj = element.dimensionedPointsObj
        let str1 = ''
        if (obj && obj.arrow && obj.arrow.length == 2) {
          str1 = `${obj.arrow[1].startX};${obj.arrow[1].startY};${obj.arrow[1].endX};${obj.arrow[1].endY}`
        }
        let str2 = ''
        if (obj && obj.arrowOfWest && obj.arrowOfWest.length == 2) {
          str2 = `${obj.arrowOfWest[1].startX};${obj.arrowOfWest[1].startY};${obj.arrowOfWest[1].endX};${obj.arrowOfWest[1].endY}`
        }
        if (str1 || str2) {
          let arr = [
            { name: 'South', value: str1 },
            { name: 'West', value: str2 }
          ]
          let newstr = ''
          arr.forEach(item => {
            if (item.value) {
              newstr += `direction-${item.name}=${item.value}
`
            }
          });
          config1 += `
[direction-detection-stream-${element.order}]
enable=1
#Label;direction;
${newstr}class-id=0
  `
        }
      }

    });
    let xieyouguan = '';
    let jingdian = '';
    if (xieyouqu.length != 0 && xieyouqu[0].dimensionedPointsObj && xieyouqu[0].dimensionedPointsObj.rectangle.length != 0) {
      xieyouqu[0].dimensionedPointsObj.rectangle.forEach(element => {
        if (element.oilUnloadingArea) {
          xieyouguan = element.x + ',' + element.y + ',' + element.width + ',' + element.height
        } else {
          jingdian = element.x + ',' + element.y + ',' + element.width + ',' + element.height
        }
      })
    } else {
      xieyouguan = '0,0,0,0'
      jingdian = '0,0,0,0'
    }

    (order != undefined) ? null : order = copyListOfData[copyListOfData.length - 1].order + 1
    console.log('泄油管区域', xieyouguan)
    console.log('静电接地', jingdian)
    config2 = `# The all in one config file.

debug: false #when the debug is on, osd.
video_record: 10 #time to record into the .ts video

sources:
  config: 'config/source.yaml'

tracker:
  config: 'config/dstest_tracker_config.txt'

analytics:
  config: 'config/config_nvdsanalytics.txt'

## 通用模型 ##

# 1:人物检测
peoplenet:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 16
  topk: 5
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 20 
  detected-min-h: 200
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/peoplenet/weights/resnet34_peoplenet_int8.etlt_b16_gpu0_int8.engine'
  threshold: 0.3

# 2:车辆检测
trafficcam:
  enable: true
  apply_on: 0
  interval: 1
  batch_size: 16
  topk: 5
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 100 
  detected-min-h: 100
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/trafficcam/weights/resnet18_trafficcamnet_pruned.etlt_b16_gpu0_int8.engine'

# 3:人物倚靠行为
actionnet:
  enable: false
  apply_on: 1
  # roi:
  #   - 'fuel_island-4':
  #     - [200, 0, 450, 500]
  #   - 'fuel_island-5':
  #     - [930, 93, 940, 987]
  #   - 'fuel_island-6':
  #     - [1174, 151, 746, 929]
  #   - 'fuel_island-7':
  #     - [1450, 300, 460, 650]
  interval: 1
  batch_size: 32

# 4:烟火检测
fire_smoke_net:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 16
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/fire_smoke_net/weights/yolov4_cspdarknet_tiny_fp16.etlt_b16_gpu0_fp16.engine'
  threshold: 0.95

# 5:抽烟打电话检测
smoking_calling_net:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/smoking_calling_net/weights/resnet50_smoking_calling_net_fp16.etlt_b2_gpu0_fp16.engine'

## 油站专用模型 ##

# 1:身份判别:工装、反光衣、便衣
idnet:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/idnet/weights/resnet50_idnet_fp16.etlt_b2_gpu0_fp16.engine'

# 2:卸油区物体识别:油罐车、灭火器、手推车、三角木、取样桶、隔离锥、卸油管
oilnet:
  enable: true
  apply_on: 2
  interval: 1
  batch_size: 2 
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 20 
  detected-min-h: 20
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/oilnet/weights/yolov4_cspdarknet_tiny_fp16.etlt_b2_gpu0_fp16.engine'
  threshold: 0.5

# 3:卸油管是否连接判定
connet_oil:
  enable: true
  apply_on: 2
  roi:
    - 'oil_tube-${order}':
      - [${xieyouguan}]   
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/connet_oil/weights/resnet50_connet_oil_fp16.etlt_b2_gpu0_fp16.engine'

# 4:静电接地仪器是否连接判定
connet_grounder:
  enable: true
  apply_on: 2
  roi:
    - 'grounder-${order}':
      - [${jingdian}]
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/connet_grounder/weights/resnet50_connet_grounder_fp16.etlt_b2_gpu0_fp16.engine'

# 5:散装桶加油
bulk_oil_net:
  enable: False
  apply_on: 2
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/bulk_oil_net/weights/yolov4_cspdarknet_tiny_fp16.etlt_b2_gpu0_fp16.engine'
  threshold: 0.2

# 模型阈值通用设定
rule_threshold:
  object_occurence_interval_second: 3
  object_disappear_interval_second: 10
  on_car_parking_interval_second: 1800
  on_fire_smoke_interval_second: 5
  on_helmet_interval_second: 5
  threshold_relying_sitting: 0.4 #rolling mean confidence
  threshold_smoking_calling: 0.3 #rolling mean confidence
  threshold_connecting: 0.667 #rolling mean confidence
  threshold_identity: 0.1 #only to filter out people net error
  threshold_helmet: 0 #num of helmet detected on a person
  enable_seconday_model: False      # secondary model (双模型)
  threshold_secondary_model: 0.5    
  secondary_model_window: 50
  secondary_model_path: '/opt/app/xgboost'
`
    config3 = `# The all in one config file.

debug: false #when the debug is on, osd.
video_record: 10 #time to record into the .ts video

sources:
  config: 'config/source.yaml'

tracker:
  config: 'config/dstest_tracker_config.txt'

analytics:
  config: 'config/config_nvdsanalytics.txt'

## 通用模型 ##

# 1:人物检测
peoplenet:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 16
  topk: 5
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 20 
  detected-min-h: 200
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/peoplenet/weights/resnet34_peoplenet_int8.etlt_b16_gpu0_int8.engine'
  threshold: 0.3

# 2:车辆检测
trafficcam:
  enable: true
  apply_on: 0
  interval: 1
  batch_size: 16
  topk: 5
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 100 
  detected-min-h: 100
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/trafficcam/weights/resnet18_trafficcamnet_pruned.etlt_b16_gpu0_int8.engine'

# 3:人物倚靠行为
actionnet:
  enable: false
  apply_on: 1
  # roi:
  #   - 'fuel_island-4':
  #     - [200, 0, 450, 500]
  #   - 'fuel_island-5':
  #     - [930, 93, 940, 987]
  #   - 'fuel_island-6':
  #     - [1174, 151, 746, 929]
  #   - 'fuel_island-7':
  #     - [1450, 300, 460, 650]
  interval: 1
  batch_size: 32

# 4:烟火检测
fire_smoke_net:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 16
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/fire_smoke_net/weights/yolov4_cspdarknet_tiny_fp16.etlt_b16_gpu0_fp32.engine'
  threshold: 0.95

# 5:抽烟打电话检测
smoking_calling_net:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/smoking_calling_net/weights/resnet50_smoking_calling_net_fp16.etlt_b2_gpu0_fp32.engine'

## 油站专用模型 ##

# 1:身份判别:工装、反光衣、便衣
idnet:
  enable: true
  apply_on: -1
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/idnet/weights/resnet50_idnet_fp16.etlt_b2_gpu0_fp32.engine'

# 2:卸油区物体识别:油罐车、灭火器、手推车、三角木、取样桶、隔离锥、卸油管
oilnet:
  enable: true
  apply_on: 2
  interval: 1
  batch_size: 2 
  roi-top-offset: 0
  roi-bottom-offset: 0
  detected-min-w: 20 
  detected-min-h: 20
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/oilnet/weights/yolov4_cspdarknet_tiny_fp16.etlt_b2_gpu0_fp32.engine'
  threshold: 0.5

# 3:卸油管是否连接判定
connet_oil:
  enable: true
  apply_on: 2
  roi:
    - 'oil_tube-${order}':
      - [${xieyouguan}]   
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/connet_oil/weights/resnet50_connet_oil_fp16.etlt_b2_gpu0_fp32.engine'

# 4:静电接地仪器是否连接判定
connet_grounder:
  enable: true
  apply_on: 2
  roi:
    - 'grounder-${order}':
      - [${jingdian}]
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/connet_grounder/weights/resnet50_connet_grounder_fp16.etlt_b2_gpu0_fp32.engine'

# 5:散装桶加油
bulk_oil_net:
  enable: False
  apply_on: 2
  interval: 1
  batch_size: 2
  model_engine_file: '/opt/nvidia/deepstream/deepstream-6.0/sources/project/models/bulk_oil_net/weights/yolov4_cspdarknet_tiny_fp16.etlt_b2_gpu0_fp32.engine'
  threshold: 0.3

#模型阈值通用设定
rule_threshold:
  object_occurence_interval_second: 3
  object_disappear_interval_second: 10
  on_car_parking_interval_second: 1800
  on_fire_smoke_interval_second: 5
  on_helmet_interval_second: 5
  threshold_relying_sitting: 0.4 #rolling mean confidence
  threshold_smoking_calling: 0.3 #rolling mean confidence
  threshold_connecting: 0.667 #rolling mean confidence
  threshold_identity: 0.1 #only to filter out people net error
  threshold_helmet: 0 #num of helmet detected on a person
  enable_seconday_model: False      # secondary model (双模型)
  threshold_secondary_model: 0.5    
  secondary_model_window: 50
  secondary_model_path: '/opt/app/xgboost'
`

    sessionStorage.setItem('config1', config1)
    sessionStorage.setItem('config2', config2)
    sessionStorage.setItem('config3', config3)
    sessionStorage.setItem('config4', config4)
  }
}