public void Data_round_trip()
{
// insert test dataset
var dataset = new Dataset
{
Name = "SDKIntTest" + DateTime.Now.ToString("yyyyMMddHHmmssfffff"),
Horizon = 60,
Period = PeriodCodes.Week
};
_forecastingApi.InsertDataset(Identity, dataset);
var timeseries = GetTimeSeries(100);
var errorCode = _forecastingApi.UpsertTimeSeries(Identity, dataset.Name, timeseries, true);
Assert.IsEmpty(errorCode);
var client = new ForecastingClient(Identity, _forecastingApi);
var data = client.ListTimeSeries(dataset.Name);
var loaded = data.ToDictionary(s => s.Name);
foreach (var exp in timeseries)
{
var actual = loaded[exp.Name];
CollectionAssert.AreEquivalent(exp.Tags, actual.Tags, "Tags equal for {0}", exp.Name);
CollectionAssert.AreEqual(exp.Values.Select(s => s.ToString()).ToArray(), actual.Values.Select(s => s.ToString()).ToArray(), "Values are equal");
CollectionAssert.AreEqual(exp.Events.Select(s => s.ToString()).ToArray(), actual.Events.Select(s => s.ToString()).ToArray(), "Events are equal");
Assert.AreEqual(exp.Tau, actual.Tau);
Assert.AreEqual(exp.Lambda, actual.Lambda);
}
_forecastingApi.DeleteDataset(Identity, dataset.Name);
}
public void ListTimeSeries_IsForwarded()
{
string identity = "mockid", token = "mytoken", datasetName = "mydataset";
IForecastingApi api;
var mocks = new MockRepository();
using (mocks.Record())
{
api = mocks.StrictMock<IForecastingApi>();
Expect.Call(api.ListTimeSeries(identity, datasetName, null))
.Return(new TimeSerieCollection
{
TimeSeries = new TimeSerie[0],
ContinuationToken = token
});
// 2nd call comes with continuation token
Expect.Call(api.ListTimeSeries(identity, datasetName, token))
.Return(new TimeSerieCollection
{
TimeSeries = new TimeSerie[0],
ContinuationToken = null
});
}
using (mocks.Playback())
{
var client = new ForecastingClient(identity, api);
var result = client.ListTimeSeries(datasetName);
Assert.AreEqual(0, result.Count(), "#A00");
}
}