private MonetaryConsumption MapConsumption(ConsumptionDto consumptionDto)
{
return(new MonetaryConsumption
{
Electricity = consumptionDto.Electricity.ToString(),
Heating = consumptionDto.Heating.ToString(),
Month = consumptionDto.Date.Month,
Water = consumptionDto.Water.ToString()
});
}
public ActionResult GetConsumption(Int32 id)
{
ConsumptionDto consumption = _consumptionService.GetConsumption(UserId, id);
if (consumption == null)
{
return(NotFound());
}
return(Ok(consumption));
}
public async Task <IActionResult> PredictHeatingByMonth([FromBody] ConsumptionDto consumption)
{
var prediction = ForecastService.PredictHeating(consumption);
if (prediction.IsError)
{
return(BadRequest());
}
return(Ok(prediction.Value));
}
public ActionResult SaveConsumption([FromBody] ConsumptionDto consumption)
{
if (!ModelState.IsValid)
{
return(BadRequest(ModelState));
}
consumption.UserId = UserId;
_consumptionService.SaveConsumption(consumption);
return(Ok(consumption.Id));
}
public Result <PricePrediction, Error> PredictHeating(ConsumptionDto consumptionDto)
{
MonetaryConsumption consumption;
if (consumptionDto is null)
{
consumption = MapConsumption(GetConsumption("d37fc422-0462-4c48-a54c-846258d0944a").GetAwaiter().GetResult().Value.FirstOrDefault());
}
else
{
consumption = MapConsumption(consumptionDto);
}
string modelPath = AppDomain.CurrentDomain.BaseDirectory + "ML_Models/HeatingByMonth.zip";
ITransformer mlModel = context.Model.Load(modelPath, out var modelInputSchema);
var predEngine = context.Model.CreatePredictionEngine <MonetaryConsumption, PricePrediction>(mlModel);
// Use model to make prediction on input data
return(predEngine.Predict(consumption));
}
