public async Task <StoredMetadata> GetMetadata(DatasourceId datasourceId)
{
return(await Task.FromResult(MockMetadata.GenerateStoredMetadata()));
}
public static Forecast GenerateSampleForecast(float lon, float lat)
{
Random random = new();
var numInTimeseries = 0;
var startTime = DateTime.Now.AddMinutes(random.Next(-120, 0));
var timeseriesDateTime = startTime.AddMinutes(-startTime.Minute).AddSeconds(-startTime.Second)
.AddMilliseconds(-startTime.Millisecond);
var forecastGeometry = new Faker <Geometry>()
.StrictMode(true)
.RuleFor(o => o.Coordinates, _ => new Collection <float>
{
lon, lat
})
.RuleFor(o => o.Type, _ => "Point");
var forecastUnits = new Faker <Units>()
.RuleFor(o => o.AirTemperature, _ => "celsius")
.RuleFor(o => o.AirPressureAtSeaLevel, _ => "hPa")
.RuleFor(o => o.CloudAreaFraction, _ => "%")
.RuleFor(o => o.PrecipitationAmount, _ => "mm")
.RuleFor(o => o.RelativeHumidity, _ => "%")
.RuleFor(o => o.WindFromDirection, _ => "degrees")
.RuleFor(o => o.WindSpeed, _ => "m/s");
var forecastMeta = new Faker <Meta>()
.RuleFor(o => o.Units, _ => forecastUnits.Generate())
.RuleFor(o => o.UpdatedAt, _ => startTime);
var forecastDetails = new Faker <Details>()
.RuleFor(o => o.AirTemperature, _ => (float)random.Next(-30, 49) + random.NextDouble())
.RuleFor(o => o.AirPressureAtSeaLevel, _ => (float)random.Next(900, 1100) + random.NextDouble())
.RuleFor(o => o.CloudAreaFraction, _ => (float)random.Next(50, 100) + random.NextDouble())
.RuleFor(o => o.PrecipitationAmount, _ => (float)random.NextDouble())
.RuleFor(o => o.RelativeHumidity, _ => (float)random.NextDouble() * 100)
.RuleFor(o => o.WindFromDirection, _ => (float)random.NextDouble() * 359)
.RuleFor(o => o.WindSpeed, _ => (float)random.NextDouble() * 32.7);
var forecastInstant = new Faker <Instant>()
.RuleFor(o => o.Details, _ => forecastDetails.Generate());
var forecastSummary = new Faker <Summary>()
.RuleFor(o => o.SymbolCode,
_ => MetAPITools.ValidSymbolCodes[random.Next(MetAPITools.ValidSymbolCodes.Count)]);
var next1Hours = new Faker <Next1Hours>()
.RuleFor(o => o.Details, _ => forecastDetails.Generate())
.RuleFor(o => o.Summary, _ => forecastSummary.Generate());
var next6Hours = new Faker <Next6Hours>()
.RuleFor(o => o.Details, _ => forecastDetails.Generate())
.RuleFor(o => o.Summary, _ => forecastSummary.Generate());
var next12Hours = new Faker <Next12Hours>()
.RuleFor(o => o.Details, _ => forecastDetails.Generate())
.RuleFor(o => o.Summary, _ => forecastSummary.Generate());
var forecastData = new Faker <ForecastData>()
.RuleFor(o => o.Instant, _ => forecastInstant.Generate())
.RuleFor(o => o.Next1Hours, _ => next1Hours.Generate())
.RuleFor(o => o.Next6Hours, _ => next6Hours.Generate())
.RuleFor(o => o.Next12Hours, _ => next12Hours.Generate());
var forecastTimeseries = new Faker <Timeseries>().RuleFor(o => o.Time, _ =>
{
numInTimeseries++;
switch (numInTimeseries)
{
case < 56:
timeseriesDateTime = timeseriesDateTime.AddHours(1);
return(timeseriesDateTime);
case 56:
timeseriesDateTime = timeseriesDateTime.AddHours(-(timeseriesDateTime.Hour % 6) + 6);
return(timeseriesDateTime);
default:
timeseriesDateTime = timeseriesDateTime.AddHours(6);
return(timeseriesDateTime);
}
})
.RuleFor(o => o.ForecastData, _ => forecastData.Generate());
var forecastProperties = new Faker <Properties>()
.RuleFor(o => o.Meta, _ => forecastMeta.Generate())
.RuleFor(o => o.Timeseries, _ =>
{
var outCollection = new Collection <Timeseries>();
foreach (var timeseries in forecastTimeseries.Generate(85))
{
outCollection.Add(timeseries);
}
return(outCollection);
});
var outForecast = new Faker <Forecast>()
.StrictMode(true)
.RuleFor(o => o.Type, _ => "Feature")
.RuleFor(o => o.ForecastGeometry, _ => forecastGeometry.Generate())
.RuleFor(o => o.ForecastProperties, _ => forecastProperties.Generate())
.RuleFor(o => o.StoredMetadata, MockMetadata.GenerateStoredMetadata());
return(outForecast);
}