public void DeleteTimeSeries_IsForwarded()
        {
            string identity = "mockid", datasetName = "mydataset";

            var timeSeries = GetTimeSeries(180);

            IForecastingApi api;

            var mocks = new MockRepository();
            using (mocks.Record())
            {
                api = mocks.StrictMock<IForecastingApi>();

                Expect.Call(api.DeleteTimeSeries(identity, datasetName, null))
                    .Return(string.Empty)
                    .IgnoreArguments()
                    .Repeat.Twice(); //  180 time-series => two requests
            }

            using (mocks.Playback())
            {
                var client = new ForecastingClient(identity, api);
                client.DeleteTimeSeries(datasetName, timeSeries.Select(d => d.Name).ToArray());
            }
        }
        public void DeleteDatasets_IsForwarded()
        {
            string identity = "mockid";

            var dataset = GetDataset();

            IForecastingApi api;

            var mocks = new MockRepository();
            using (mocks.Record())
            {
                api = mocks.StrictMock<IForecastingApi>();

                Expect.Call(api.DeleteDataset(identity, dataset.Name))
                    .Return(string.Empty);
            }

            using (mocks.Playback())
            {
                var client = new ForecastingClient(identity, api);
                client.DeleteDataset(dataset.Name);
            }
        }
示例#3
0
        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 GetForecasts_IsForwarded()
        {
            string identity = "mockid", datasetName = "mydataset";

            var timeSeries = GetTimeSeries(180);

            IForecastingApi api;

            var mocks = new MockRepository();
            using (mocks.Record())
            {
                api = mocks.StrictMock<IForecastingApi>();

                Expect.Call(api.GetForecastStatus(identity, datasetName))
                    .Return(new ForecastStatus
                        {
                            ForecastsReady = true
                        });

                //  180 time-series => 4 requests
                Expect.Call(api.GetForecasts(identity, datasetName, null))
                    .Return(new ForecastCollection
                        {
                            Series = new[] { new ForecastSerie { Name = timeSeries[0].Name } }
                        })
                    .IgnoreArguments();
                Expect.Call(api.GetForecasts(identity, datasetName, null))
                    .Return(new ForecastCollection
                        {
                            Series = new[] { new ForecastSerie { Name = timeSeries[1].Name } }
                        })
                    .IgnoreArguments();
                Expect.Call(api.GetForecasts(identity, datasetName, null))
                    .Return(new ForecastCollection
                        {
                            Series = new[] { new ForecastSerie { Name = timeSeries[2].Name } }
                        })
                    .IgnoreArguments();
                Expect.Call(api.GetForecasts(identity, datasetName, null))
                    .Return(new ForecastCollection
                        {
                            Series = new[] { new ForecastSerie { Name = timeSeries[3].Name } }
                        })
                    .IgnoreArguments();
            }

            using (mocks.Playback())
            {
                var client = new ForecastingClient(identity, api);
                var forecasts = client.GetForecasts(datasetName, timeSeries.Select(d => d.Name).ToArray());
                Assert.IsNotNull(forecasts, "#A00");
                Assert.AreEqual(4, forecasts.Length, "#A01");
                Assert.AreEqual(timeSeries[0].Name, forecasts[0].Name, "#A02");
                Assert.AreEqual(timeSeries[1].Name, forecasts[1].Name, "#A03");
                Assert.AreEqual(timeSeries[2].Name, forecasts[2].Name, "#A04");
                Assert.AreEqual(timeSeries[3].Name, forecasts[3].Name, "#A05");
            }
        }
        public void UpsertTimeSeries_IsForwarded()
        {
            string identity = "mockid";

            var timeSeries = GetTimeSeries(180);

            IForecastingApi api;

            var mocks = new MockRepository();
            using (mocks.Record())
            {
                api = mocks.StrictMock<IForecastingApi>();

                Expect.Call(api.UpsertTimeSeries(identity, null, null, false))
                    .Return(string.Empty)
                    .IgnoreArguments()
                    .Repeat.Twice(); //  180 series => two requests
            }

            using (mocks.Playback())
            {
                var client = new ForecastingClient(identity, api);
                client.UpsertTimeSeries("mockdataset", timeSeries, false);
            }
        }
        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");
            }
        }