import { 
  InputImage,
  Point,
  Region,
  SearchRequest,
  SearchResponse,
  Status,
  TollingVisionServiceClient,
} from '@smart-cloud/tollingvision';

/*
Create a client instance.
The only required parameter is the address of the Tolling Vision dockerized service or a load-balancer in front of it in a clustered environment, 
in the format PROTOCOL://HOST[:PORT]. 
Here, HOST is the hostname or IP address and the optional PORT is the exposed TCP port of the application, e.g., http://127.0.0.1:8080.
*/
const client = new TollingVisionServiceClient('http://127.0.0.1:8080');

const searchRequest = new SearchRequest();
 
// Specify the image bytes (required)
searchRequest.setImage(new InputImage().setData(new Uint8Array([])).setName('IMAGE_NAME'));

// Enable make and model recognition (optional)
searchRequest.setMakeAndModelRecognition(true);

// Specify the location in ISO 3166-2 format (optional)
searchRequest.setLocation('US-CA'); 

// Specify the search region on the image (optional)
searchRequest.addRegion(new Region().addPoint(new Point(0,0).addPoint(new Point(10,0).addPoint(new Point(10,10).addPoint(new Point(0,10))); 

const call = client.search(searchRequest);

call.on('data', (response: SearchResponse) => {
  switch (response.getStatus()) {
    case Status.QUEUEING:
      console.log('Request queued.');
      break;
    case Status.PROCESSING:
      console.log('Request processing.');
      break;
    case Status.RESULT:
      console.log('Search results:', response.getResultList());
      break;
  }
});

call.on('end', () => {
  console.log('Search ended.');
});

call.on('error', (err) => {
  console.error('Search error:', err);
});


				
			

				
					import { 
  EventRequest, 
  EventResponse, 
  InputImage,
  SearchRequest,
} from '@smart-cloud/tollingvision';

const eventRequest = new EventRequest();

const frontRequest = new SearchRequest();
frontRequest.setImage(new InputImage().setData(new Uint8Array([])).setName('FRONT_IMAGE_NAME'));

const rearRequest = new SearchRequest();
rearRequest.setImage(new InputImage().setData(new Uint8Array([])).setName('REAR_IMAGE_NAME'));

const overviewRequest = new SearchRequest();
overviewRequest.setImage(new InputImage().setData(new Uint8Array([])).setName('OVERVIEW_IMAGE_NAME')); 
overviewRequest.setMakeAndModelRecognition(true);

eventRequest.addFrontRequest(frontRequest);
eventRequest.addRearRequest(rearRequest);
eventRequest.addOverviewRequest(overviewRequest);

const call = client.analyze(eventRequest);

call.on('data', (response: EventResponse) => {
  if (response.hasEventResult()) {
    console.log('Event Result:', response.getEventResult()?.toObject());
  } else if (response.hasPartialResult()) {
    const partialResult = response.getPartialResult();
    const resultType = partialResult?.getResultType();
    const resultIndex = partialResult?.getResultIndex();
    if (partialResult?.hasResult()) {
      console.log(`Partial Result [${resultType}] [Index: ${resultIndex}]`, partialResult.getResult()?.toObject());
    } else if (partialResult?.hasError()) {
      console.error(`Error [${resultType}] [Index: ${resultIndex}]`, partialResult.getError()?.toObject());
    }
  }
});

call.on('end', () => {
  console.log('Analyze ended.');
});

call.on('error', (err) => {
  console.error('Analyze error:', err);
});