// GET api/samples
public HttpResponseMessage Get()
{
try
{
var users = _usersRepository.GetUsers();
var statuses = _statusesRepository.GetStatuses();
var sampleDtos = from s in _samplesRepository.GetSamples()
join u in users on s.CreatedBy equals u.UserId
join st in statuses on s.StatusId equals st.StatusId
select new SampleDto
{
SampleId = s.SampleId,
Barcode = s.Barcode,
CreatedAt = s.CreatedAt,
CreatedById = s.CreatedBy,
CreatedByFirstName = u.FirstName,
CreatedByLastName = u.LastName,
StatusId = s.StatusId,
Status = st.Status1
};
var pairs = Request.GetQueryNameValuePairs();
if (pairs.Any())
{
sampleDtos = filterSampleDtos(sampleDtos, pairs);
}
return(Request.CreateResponse(HttpStatusCode.OK, sampleDtos.ToList()));
}
catch (Exception e)
{
return(Request.CreateResponse(HttpStatusCode.InternalServerError,
"There was a problem getting you that data."));
}
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var mle = performanceSamples.Length / performanceSamples.Sum(t => t.Duration.TotalMilliseconds); // TODO: Check
return(new ExponentialStatModel(mle));
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var min = performanceSamples.Min(t => t.Duration.TotalMilliseconds);
var max = performanceSamples.Max(t => t.Duration.TotalMilliseconds);
return(new UniformStatModel(min, max));
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var estMean = performanceSamples.Sum(t => t.Duration.TotalMilliseconds);
estMean = estMean / performanceSamples.Length;
var estVariance = performanceSamples.Sum(t => Math.Pow((t.Duration.TotalMilliseconds - estMean), 2));
estVariance = estVariance / performanceSamples.Length;
return(new NormalStatModel(estMean, Math.Sqrt(estVariance)));
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
var performanceSamples = samplesRepository.GetSamples() as PerformanceSample[] ?? samplesRepository.GetSamples().ToArray();
var logSamples =
(from ps in performanceSamples
select Math.Log(ps.Duration.TotalMilliseconds)).ToArray();
var estLogScale = logSamples.Sum(t => t);
estLogScale = estLogScale / logSamples.Length;
var estShape = logSamples.Sum(t => Math.Pow(t - estLogScale, 2));
estShape = estShape / logSamples.Length;
return(new LogNormalStatModel(estLogScale, Math.Sqrt(estShape)));
}
public override IStatModel FromSamples(ISamplesRepository samplesRepository)
{
return(new CustomStatModel(samplesRepository.GetSamples()));
}
