public void Acceptance()
{
const int NUMBER_OF_SIMULATIONS = 1000;
const int GRANULARITY_OF_FORECAST = 20;
var repo = new HistoryRepository(REPO_PATH);
var forecasting = new Forecasting(new MonteCarloSimulation(), NUMBER_OF_SIMULATIONS, GRANULARITY_OF_FORECAST);
var sut = new RequestHandler(repo, forecasting);
var newHistory = new NewHistoryDto {
Id = "abc",
Name = "test history",
Email = "*****@*****.**",
HistoricalData = new[] {
new DatapointDto {
Value = 1f, Tags = new[] { "a" }
},
new DatapointDto {
Value = 2f, Tags = new[] { "a" }
}
},
HistoricalDataToParse = "2;a,x\n3;a\n3;a\n4;a\n10;b,x\n10;b\n20;b\n20;b\n30;b,x"
};
var historyId = sut.Create_history(newHistory);
Assert.AreEqual("abc", historyId);
var history = sut.Load_history_by_id(historyId);
Assert.AreEqual("test history", history.Name);
Assert.AreEqual(11, history.HistoricalData.Length);
Assert.AreEqual(new[] { "a", "b", "x" }, history.Tags);
history = sut.Load_history_by_name("test history");
Assert.AreEqual("*****@*****.**", history.Email);
var forecast = sut.Calculate_forecast(historyId,
new[] {
new FeatureDto {
Quantity = 2, Tags = new[] { "a" }
},
new FeatureDto {
Quantity = 1, Tags = new[] { "b" }
},
});
// only prognosises with p>=0.5
Assert.IsTrue(forecast.Distribution.Select(p => p.Count).Sum() >= 500);
}
public string Create_history(NewHistoryDto newhistory)
{
var parsedData = HistoricalCsvDataParser.Parse(newhistory.HistoricalDataToParse);
var history = new History {
Id = newhistory.Id,
Email = newhistory.Email,
Name = newhistory.Name,
HistoricalData = newhistory.HistoricalData.Select(d => new History.Datapoint {
Value = d.Value, Tags = d.Tags
})
.Concat(parsedData)
.ToArray(),
LastUsed = DateTime.Now.ToUniversalTime()
};
return(_repo.Store_history(history));
}
public string Create_history([Payload] NewHistoryDto newhistory)
{
Console.WriteLine($"create history: {newhistory.Id}, {newhistory.Name}, {newhistory.Email}, historical data: {newhistory.HistoricalData.Length}");
return(__RequestHandler().Create_history(newhistory));
}
