static void Main(string[] args)
{
Random rnd = new Random();
for (int k = 0; k < 2; k++)
{
for (int i = 0; i < 10; i++)
{
List<Detection> detection = new List<Detection>();
for (int j = 0; j < 2; j++)
detection.Add(new Detection()
{
TypeOfFrequency = j,
Value = (j + 1) * rnd.Next((j + 1) * 10000),
});
Guid sequenceId = Guid.NewGuid();
List<DetectionEntity> detectEntityList = new List<DetectionEntity>();
detectEntityList.AddRange(detection.Select(x => new DetectionEntity()
{
Id = Guid.NewGuid(),
SequenceId = sequenceId,
TypeOfFrequency = x.TypeOfFrequency,
Value = x.Value,
}));
Calculator calc = new Calculator();
QueueStorageContext.EnqueueList(detectEntityList);
Thread.Sleep(5000);
Console.WriteLine("{0} item", i);
}
Calculator calculator = new Calculator();
Console.WriteLine("start average - {0}", DateTime.Now.ToString("dd/MM/YYYY HH:mm:sss"));
var results = calculator.CalculateAVG().ToList();
Console.WriteLine("end average - {0}", DateTime.Now.ToString("dd/MM/YYYY HH:mm:sss"));
foreach (var item in results)
{
Console.WriteLine("Type: {0} - Average: {1}", item.TypeOfFrequency, item.Average);
}
Console.WriteLine("start diff - {0}", DateTime.Now.ToString("dd/MM/YYYY HH:mm:sss"));
var diff = calculator.CalculateStandardDerivation().ToList();
Console.WriteLine("end diff - {0}", DateTime.Now.ToString("dd/MM/YYYY HH:mm:sss"));
foreach (var item in diff)
{
Console.WriteLine("Type: {0} - Diff: {1}", item.TypeOfFrequency, item.StandardDerivation);
}
CacheManager.AddOrUpdate("lastupdate", DateTime.Now);
Console.ReadLine();
}
}
public MoodController()
{
CalculatorProp = new Calculator();
}
