public async Task ProcessBytes(byte[] data, WebSocketReceiveResult result)
{
var reservedBytes = 12;
var soundChars = data
.Take(result.Count)
.Skip(reservedBytes)
.Select(d => (char)d)
.ToArray();
var soundData = new string(soundChars)
.Trim()
.Split(' ')
.Select(s => double.Parse(s));
var normalizedSoundData = soundData
.Select(d => d > 542 || d < 538 ? d : 0)
.Select(d => d / 1024d)
.ToArray();
var firstBlock = normalizedSoundData.Take(normalizedSoundData.Length / 2).ToArray();
var matches = _soundRecognitionService.Recognize(firstBlock).ToList();
var secondBlock = normalizedSoundData.Skip(normalizedSoundData.Length / 2).ToArray();
matches.AddRange(_soundRecognitionService.Recognize(secondBlock).ToList());
var mostSimilar = matches.OrderByDescending(m => m.Match).First();
if (mostSimilar.Match >= 0.6 && mostSimilar.Match <= 0.85)
{
return;
}
var sensorId = SensorHelper.IdFromBytes(data);
var sensorInfo = await _sensorRepository.FindAsync(sensorId);
var soundLabel = await _soundLabelRepository.GetByLabelNumberAsync(mostSimilar.LabelNumber);
await _pushNotificationService.SendAsync(new PushNotificationModel
{
Notification = new NotificationContentModel
{
Body = soundLabel?.LabelDescription,
Payload = sensorInfo.RoomTag,
Title = sensorInfo.PlaceAlias
},
RegistrationIds = sensorInfo.ObservingDevices?.Select(o => o.Device.Token).ToArray()
});
await _soundLogRepository.CreateAsync(sensorId, soundLabel.LabelNumber, mostSimilar.Match);
}