private double EvaluatePotentialValue(Horse horse, TraitValuator valuator, HorseTrait trait)
{
double result = 0;
if (trait.IsUnknownForThisHorse(horse))
{
var traitval = trait.GetTraitValue(valuator);
if (traitval > 0)
{
result += traitval * _options.PotentialValuePositiveWeight;
}
else if (traitval < 0)
{
result += traitval * _options.PotentialValueNegativeWeight;
}
// we dont care when its 0
}
return result;
}
/// <summary> /// get evaluation results for these horse, /// null if evaluation does not return any valid results /// </summary> /// <param name="horse1">first evaluated horse</param> /// <param name="horse2">other evaluated horse</param> /// <param name="valuator">current trait valuator used by granger</param> /// <returns></returns> public abstract BreedingEvalResults? Evaluate(Horse horse1, Horse horse2, TraitValuator valuator);
public override BreedingEvalResults? Evaluate(Horse horse1, Horse horse2, TraitValuator valuator)
{
if (horse1 == horse2) return null;
BreedingEvalResults results = new BreedingEvalResults();
var allPossibleTraits = HorseTrait.GetAllPossibleTraits();
var traits1 = horse1.Traits;
var traits2 = horse2.Traits;
var concatTraits = traits1.Concat<HorseTrait>(traits2).ToArray(); //horse1 + horse2
var presentTraits = concatTraits.Distinct().ToArray(); //horse1 + horse2 but without duplicates
// not using these for now:
//var uniqueTraits = GetUniqueTraits(presentTraits, traits1, traits2); //traits which only one horse have
//var missingTraits = HorseTrait.GetAllTraits().Where(x => !presentTraits.Contains(x)).ToArray(); //all traits that horses dont have
double value2 = horse2.Value;
if (horse1.IsMale == horse2.IsMale) results.Ignored = true;
if (_options.IgnoreNotInMood)
if (horse1.NotInMood || horse2.NotInMood) results.Ignored = true;
if (_options.IgnorePregnant)
if (horse1.Pregnant || horse2.Pregnant) results.Ignored = true;
if (_options.IgnoreRecentlyPregnant)
if (horse1.PregnantInLast24h || horse2.PregnantInLast24h) results.Ignored = true;
if (_options.IgnoreOtherHerds)
if (horse1.Herd != horse2.Herd) results.Ignored = true;
if (_options.IgnorePairedHorses)
if (horse1.HasMate() || horse2.HasMate())
results.Ignored = true;
if (_options.IgnoreSold)
if (horse1.CheckTag("sold") || horse2.CheckTag("sold"))
results.Ignored = true;
if (_options.IgnoreDead)
if (horse1.CheckTag("dead") || horse2.CheckTag("dead"))
results.Ignored = true;
if (_options.IgnoreFoals)
if ((horse1.IsFoal() && !_options.AgeIgnoreOnlyOtherHorses) ||
horse2.IsFoal()) results.Ignored = true;
if (_options.IgnoreYoung)
if (((horse1.Age.EnumVal == HorseAge.Age.Young) && !_options.AgeIgnoreOnlyOtherHorses) ||
horse2.Age.EnumVal == HorseAge.Age.Young)
results.Ignored = true;
if (_options.IgnoreAdolescent)
if (((horse1.Age.EnumVal == HorseAge.Age.Adolescent) && !_options.AgeIgnoreOnlyOtherHorses) ||
horse2.Age.EnumVal == HorseAge.Age.Adolescent)
results.Ignored = true;
if (_options.ExcludeExactAgeEnabled)
{
if (DateTime.Now - horse1.BirthDate < _options.ExcludeExactAgeValue ||
DateTime.Now - horse2.BirthDate < _options.ExcludeExactAgeValue)
{
results.Ignored = true;
}
}
if (horse1.IsInbreedWith(horse2))
{
if (_options.DiscardOnInbreeding) results.Discarded = true;
else
{
// get all potential inbreeding-specific bad traits this horse doesnt yet have,
// average a value out of these traits,
// multiply by 2 (because this is like both horses having one bad trait)
// multiply by inbreed weight (NOT bad trait weight)
// we add this to results
var potentialBadTraits = HorseTrait.GetInbreedBadTraits().Where(x => !presentTraits.Contains(x)).ToArray();
double sum = 0;
foreach (var trait in potentialBadTraits)
{
sum += trait.GetTraitValue(valuator);
}
sum /= potentialBadTraits.Length;
sum *= _options.InbreedingPenaltyWeight * 2;
results.Value += sum;
}
}
if (_options.DiscardOnAnyNegativeTraits)
{
if (horse2.Traits.Where(x => x.GetTraitValue(valuator) < 0).Count() > 0)
results.Discarded = true;
}
// continue only if horse is still evaluated
if (results.Discarded != true && results.Ignored != true)
{
// calculate value for each trait:
// use 1.0, bad trait or unique trait weights if appropriate
// use dict to check, which traits were already handled,
// the value of keys is meaningless, only key presence check is needed
Dictionary<HorseTrait, int> uniqueTraitCounter = new Dictionary<HorseTrait, int>();
foreach (var trait in concatTraits)
{
//add this trait to counter for PreferUniqueTraits
if (uniqueTraitCounter.ContainsKey(trait))
{
uniqueTraitCounter[trait] += 1;
}
else
{
uniqueTraitCounter[trait] = 1;
}
var traitval = trait.GetTraitValue(valuator);
double result = 0;
if (traitval < 0) result += traitval * _options.BadTraitWeight;
else if (traitval > 0) result += traitval;
results.Value += result;
}
//apply bonus for unique traits
if (_options.PreferUniqueTraits)
{
foreach (var keyval in uniqueTraitCounter)
{
if (keyval.Value == 1) //this trait was unique in this evaluation
{
var traitval = keyval.Key.GetTraitValue(valuator);
if (traitval > 0) //apply bonus if the trait is positive value
{
results.Value += (traitval * _options.UniqueTraitWeight) - traitval;
//subtracting initial traitval because it was already applied
//this works for any weight, a 0.5 weight causes unique trait to have half value for result
//0.0 weight causes trait to have 0 value for result (effectively nullifying this trait value)
// NOTE: if in future good trait value has any other weights applied,
// this WILL break. This class is not expected to be improved,
// please write your own, new evaluator by subclassing BreedingEvaluator class
// and writing your own complete logic!
}
}
}
}
if (_options.IncludePotentialValue)
{
// here we need to take care of potential trait values
// this is hard to figure, because horse can contain many different hidden traits,
// that all can participate in breeding
// we handle this naively, asume horses have all of their potential traits
// we regulate how much this affects result with the weight
// we need to loop over all possible traits twice, for each horse
// pick traits that req AH above their inspect skill and do eval for these
// we do this explicitly rather than in methods to improve readability
foreach (var trait in allPossibleTraits)
{
double result = 0;
result += EvaluatePotentialValue(horse1, valuator, trait);
result += EvaluatePotentialValue(horse2, valuator, trait);
results.Value += result;
}
}
// boost or lower value based on potential color of offspring
if (results.Value > 0)
{
var h1colVal = _options.GetValueForColor(horse1.Color);
var h2colVal = _options.GetValueForColor(horse2.Color);
var colValAdj = (h1colVal + h2colVal)*0.5f;
results.Value *= colValAdj;
}
}
return results;
}
void RefreshValuator()
{
try
{
CurrentValuator = new TraitValuator(this, comboBoxValuePreset.Text, Context);
}
catch (Exception _e)
{
CurrentValuator = new TraitValuator(this);
Logger.LogError("failed to create TraitValuator for valuemapid: " + comboBoxValuePreset.Text + "; using defaults", this, _e);
}
Settings.Value.ValuePresetID = CurrentValuator.ValueMapID;
Settings.DelayedSave();
if (Granger_ValuatorChanged != null) Granger_ValuatorChanged(this, new EventArgs());
}
internal static HorseTrait[] GetBadTraits(HorseTrait[] traits, TraitValuator traitValuator)
{
return traits.Where(x => x.GetTraitValue(traitValuator) < 0).ToArray();
}
internal static string GetShortString(HorseTrait[] traits, TraitValuator valuator)
{
List<string> shorts = new List<string>();
foreach (var trait in traits)
{
int value = 0;
if (valuator != null) value = valuator.GetValueForTrait(trait);
shorts.Add(Helper.GetShortcutForTrait(trait, value));
}
return string.Join(",", shorts.OrderBy(x => x));
}
/// <summary>
/// Get value of this trait in given value context
/// </summary>
/// <param name="valueContextID"></param>
/// <returns></returns>
public int GetTraitValue(TraitValuator traitvaluator)
{
return traitvaluator.GetValueForTrait(this);
}