public static FluentValidation.Results.ValidationResult Validate(RawTakeRateData data)
{
FluentValidation.Results.ValidationResult featureLevelResults = null;
FluentValidation.Results.ValidationResult modelLevelResults = null;
FluentValidation.Results.ValidationResult featureMixResults = null;
// Bit of a hack here, we need to bind a reference to all of the available feature packs
// to each individual feature pack. This is needed as for pack item take rates, the take is the sum of any feature packs
// containing that item. We could validate at a higher level, but then we won't be able to identify which pack is in error
foreach (var pack in data.FeaturePacks)
{
pack.AllPacks = data.FeaturePacks;
}
Parallel.Invoke(
() => featureLevelResults = TakeRateDataValidator.ValidateData(data),
() => modelLevelResults = TakeRateSummaryValidator.ValidateData(data),
() => featureMixResults = TakeRateFeatureMixValidator.ValidateData(data)
);
var allErrors = featureLevelResults.Errors
.Concat(modelLevelResults.Errors)
.Concat(featureMixResults.Errors);
var validationFailures = allErrors as IList <ValidationFailure> ?? allErrors.ToList();
return(new FluentValidation.Results.ValidationResult(validationFailures));
}
public static FluentValidation.Results.ValidationResult ValidateData(RawTakeRateData data)
{
var validator = new TakeRateSummaryValidator();
return(validator.Validate(data));
}
