public ActionResult Index(bool goodWithChildren, bool drools, ELength coatlength,
EScale activityLevel, EScale sheddingLevel, EScale groomingLevel,
EScale intelligenceLevel, ESize size)
{
Dog requestedDog = new Dog
{
GoodWithChildren = goodWithChildren,
Drools = drools,
Coatlength = coatlength,
ActivityLevel = activityLevel,
SheddingLevel = sheddingLevel,
GroomingLevel = groomingLevel,
IntelligenceLevel = intelligenceLevel,
Size = size
};
Dog returnDog = findDogRecommendation(requestedDog);
if (returnDog.BreedName != null)
{
return(View("DogRecommendation", returnDog));
}
else
{
return(View("NoDogRecommendation"));
}
}
private int determineBestMatch(bool GoodWithChildren, bool Drools, ELength Coatlength, ESize Size, EScale ActivityLevel, EScale SheddingLevel, EScale GroomingLevel, EScale IntelligenceLevel)
{
//Make a list to store score values. This is a way of assessing which dog is the best choice.
int[] scores = new int[dogList.Count];
for (int i = 0; i < dogList.Count; i++)
{
//For each matching criteria, increase a score value.
//This completely hinges on the fact that dogs in the list ARE NOT SORTED.
//The dog list has a very tenuous connection with the score list.
if (dogList[i].GoodWithChildren == GoodWithChildren)
{
scores[i]++;
}
if (dogList[i].Drools == Drools)
{
scores[i]++;
}
if (dogList[i].Coatlength == Coatlength)
{
scores[i]++;
}
if (dogList[i].Size == Size)
{
scores[i]++;
}
if (dogList[i].ActivityLevel == ActivityLevel)
{
scores[i]++;
}
if (dogList[i].SheddingLevel == SheddingLevel)
{
scores[i]++;
}
if (dogList[i].GroomingLevel == GroomingLevel)
{
scores[i]++;
}
if (dogList[i].IntelligenceLevel == IntelligenceLevel)
{
scores[i]++;
}
}
//Get max val
int highScore = scores.Max();
//Big Caveat:
//This will return the index of the first dog that achieved that score.
//It's quite common for multiple dogs to get the same score, so some dogs will be over-represented in practice.
//This can be prevented by instead creating a list of dogs with equal scores and randomly selecting one from there as the
//return dog. I felt it wasn't needed for the scope of this practical (also it's 11:30pm).
int indexOf = scores.ToList().IndexOf(highScore);
//Return index
return indexOf;
}
public ActionResult ChooseDogPref(bool GoodWithChildren, bool Drools, ELength Coatlength, ESize Size, EScale ActivityLevel, EScale SheddingLevel, EScale GroomingLevel, EScale IntelligenceLevel)
{
//Call makedatabase, populating a list of dogs
dogList = makeDatabase();
//Blank dog object, will be passed into the return view
Dog recDog = dogList[0];
//build a return dog by determining the index of the best match.
int indexOfBest = determineBestMatch(GoodWithChildren, Drools, Coatlength, Size, ActivityLevel, SheddingLevel, GroomingLevel, IntelligenceLevel);
recDog = dogList[indexOfBest];
return View("DogConfirm", recDog);
}
//if values are the same assign 1
//if it is not medium means must be either short or long
//and if the list dog is medium assigns .5 for close
public double getELengthValue(ELength wantedDogInput, ELength listDogInput)
{
double value = 0;
if(wantedDogInput == listDogInput)
{
value = 1;
}
if((wantedDogInput != ELength.Medium)&&(listDogInput == ELength.Medium))
{
value = 0.5;
}
return value;
}
//if values are the same assign 1
//if it is not medium means must be either short or long
//and if the list dog is medium assigns .5 for close
public double getELengthValue(ELength wantedDogInput, ELength listDogInput)
{
double value = 0;
if (wantedDogInput == listDogInput)
{
value = 1;
}
if ((wantedDogInput != ELength.Medium) && (listDogInput == ELength.Medium))
{
value = 0.5;
}
return(value);
}
public ActionResult Result(EScale activityLevel, ELength coatlength, bool drools, bool goodWithChildren, EScale groomingLevel, EScale intelligenceLevel, EScale sheddingLevel, ESize size)
{
List<Dog> dogs = makeDatabase(); //gets dogs databse
//creates dog with properties submitted in by user in html form
Dog userDog = new Dog();
userDog.ActivityLevel = activityLevel;
userDog.Coatlength = coatlength;
userDog.Drools = drools;
userDog.GoodWithChildren = goodWithChildren;
userDog.GroomingLevel = groomingLevel;
userDog.IntelligenceLevel = intelligenceLevel;
userDog.SheddingLevel = sheddingLevel;
userDog.Size = size;
//userDog is set to its best match
userDog = findClosestDog(userDog);
return View(userDog);
}
public ActionResult Result(EScale activityLevel, ELength coatlength, bool drools, bool goodWithChildren, EScale groomingLevel, EScale intelligenceLevel, EScale sheddingLevel, ESize size)
{
List <Dog> dogs = makeDatabase(); //gets dogs databse
//creates dog with properties submitted in by user in html form
Dog userDog = new Dog();
userDog.ActivityLevel = activityLevel;
userDog.Coatlength = coatlength;
userDog.Drools = drools;
userDog.GoodWithChildren = goodWithChildren;
userDog.GroomingLevel = groomingLevel;
userDog.IntelligenceLevel = intelligenceLevel;
userDog.SheddingLevel = sheddingLevel;
userDog.Size = size;
//userDog is set to its best match
userDog = findClosestDog(userDog);
return(View(userDog));
}
public ActionResult Index(bool goodWithChildren, bool drools, ELength coatlength,
EScale activityLevel, EScale sheddingLevel, EScale groomingLevel,
EScale intelligenceLevel, ESize size)
{
Dog requestedDog = new Dog
{
GoodWithChildren = goodWithChildren,
Drools = drools,
Coatlength = coatlength,
ActivityLevel = activityLevel,
SheddingLevel = sheddingLevel,
GroomingLevel = groomingLevel,
IntelligenceLevel = intelligenceLevel,
Size = size
};
Dog returnDog = findDogRecommendation(requestedDog);
if (returnDog.BreedName != null)
return View("DogRecommendation", returnDog);
else
return View("NoDogRecommendation");
}
public ActionResult ShowSelect(bool GoodWithChildren, bool Drooling, ELength CoatLength, EScale ActivityLevel,
EScale SheddingLevel, EScale GroomingLevel, EScale IntelligenceLevel, ESize Size)
{
//makes the wanted dog
Dog wantedDog = new Dog
{
ActivityLevel = ActivityLevel,
SheddingLevel = SheddingLevel,
GroomingLevel = GroomingLevel,
IntelligenceLevel = IntelligenceLevel,
GoodWithChildren = GoodWithChildren,
Drools = Drooling,
CoatLength = CoatLength,
Size = Size
};
//calls method to find closest dog
Dog closestMatch = findClosestMatch(wantedDog);
//returns the view and dog
return(View("DogRecomendation", closestMatch));
}
public ActionResult SelectedDog(EScale activityLevel, EScale sheddingLevel, EScale groomingLevel, EScale intelligenceLevel, ELength coatlength, ESize size, bool goodWithChildren, bool drools)
{
DatabaseManager dbm = new DatabaseManager();
db = dbm.makeDatabase();
Dog nDog = new Dog();
nDog.ActivityLevel = activityLevel;
nDog.SheddingLevel = sheddingLevel;
nDog.GroomingLevel = groomingLevel;
nDog.IntelligenceLevel = intelligenceLevel;
nDog.Coatlength = coatlength;
nDog.Size = size;
nDog.GoodWithChildren = goodWithChildren;
nDog.Drools = drools;
nDog.BreedName = db[0].BreedName;
nDog.ImageName = db[0].ImageName;
nDog.DisplayName = db[0].DisplayName;
Dog recommendation = dbm.FindRecommodation(db, nDog);
return View(recommendation);
}
public ActionResult ShowSelect(bool GoodWithChildren, bool Drooling, ELength CoatLength, EScale ActivityLevel,
EScale SheddingLevel, EScale GroomingLevel, EScale IntelligenceLevel, ESize Size)
{
//makes the wanted dog
Dog wantedDog = new Dog
{
ActivityLevel = ActivityLevel,
SheddingLevel = SheddingLevel,
GroomingLevel = GroomingLevel,
IntelligenceLevel = IntelligenceLevel,
GoodWithChildren = GoodWithChildren,
Drools = Drooling,
CoatLength = CoatLength,
Size = Size
};
//calls method to find closest dog
Dog closestMatch = findClosestMatch(wantedDog);
//returns the view and dog
return View("DogRecomendation", closestMatch);
}
