public TourModel GetNRandomPlaces(int maxTime, int[] timeList, WeatherEntity weather, SubtypeDataEntity subtypeData, bool addRestaurant, string savedPlaces)
{
List <PlaceEntity> newTourList = new List <PlaceEntity>();
bool addedRestaurant = false;
if (savedPlaces != null)
{
var places = new List <string>(savedPlaces.Split(','));
for (int i = 0; i < places.Count(); i++)
{
places[i] = places[i].Trim('"', '[', ']');
}
foreach (string name in places)
{
PlaceEntity place = Tour.Where(i => i.Name == name).FirstOrDefault();
if (place != null)
{
newTourList.Add(place);
maxTime -= 45;
Tour = Tour.Where(u => u.Name != place.Name).ToList();
}
}
if (addedRestaurant)
{
bool found = false;
RestaurantEntity restaurant = new RestaurantEntity();
foreach (string name in places)
{
restaurant = Restaurants.Where(i => i.Name == name).FirstOrDefault();
if (restaurant != null)
{
found = true;
break;
}
}
if (found)
{
newTourList.Add(restaurant);
Restaurants = Restaurants.Where(u => u.Name != restaurant.Name).ToList();
addedRestaurant = true;
}
}
}
if (!addedRestaurant)
{
if (addRestaurant)
{
double[] restaurantRatings = new double[Restaurants.Count()];
for (int i = 0; i < Restaurants.Count(); i++)
{
restaurantRatings[i] = double.Parse(Tour.ElementAt(i).Rating, System.Globalization.CultureInfo.InvariantCulture);
}
int restaurant_index = GetRandomRestaurantIndex(restaurantRatings);
newTourList.Add(Restaurants.ElementAt(restaurant_index));
Restaurants = Restaurants.Where(u => u.Name != Restaurants.ElementAt(restaurant_index).Name).ToList();
}
}
double[] ratings = new double[Tour.Count()];
for (int i = 0; i < Tour.Count(); i++)
{
if (Tour.ElementAt(i).Rating != null)
{
ratings[i] = double.Parse(Tour.ElementAt(i).Rating, System.Globalization.CultureInfo.InvariantCulture);
}
else
{
ratings[i] = 3;
}
}
List <int> index_list = GetRandomIndexList(ratings, timeList, maxTime, weather, subtypeData);
foreach (int i in index_list)
{
newTourList.Add(Tour.ElementAt(i));
}
int[] index_array = index_list.ToArray();
foreach (int i in index_array)
{
Tour = Tour.Where(u => u.Name != Tour.ElementAt(i).Name).ToList();
for (int j = 0; j < index_array.Length; j++)
{
if (index_array[j] > i)
{
index_array[j] -= 1;
}
}
}
return(new TourModel(newTourList));
}
// Factors taken into consideration when generating these indexes: - TripAdvisor ratings
// - Time and type of places (for each type of attraction selected, the probability of selecting attractions of the same type is slightly lowered)
// - Weather (temperature + humidity)
// - Subtype
private List <int> GetRandomIndexList(double [] ratings, int [] timeList, int maxTime, WeatherEntity weather, SubtypeDataEntity subtypeData)
{
List <int> index_list = new List <int>();
double total_score = 0;
for (int i = 0; i < ratings.Length; i++)
{
total_score += ratings[i];
}
for (int i = 0; i < ratings.Length; i++)
{
ratings[i] = ratings[i] / total_score;
}
Random random = new Random();
double n;
int timeCounter = 0;
if (timeList.Sum() < maxTime)
{
return(Enumerable.Range(0, ratings.Length).ToList());
}
double temp = weather.Main["temp"] - 273.15;
double humidity = weather.Main["humidity"];
List <int> outdoorIndexList = getOutdoorIndexList(subtypeData);
(List <int> hotIndexList, List <int> coldIndexList) = getSeasonIndexLists(subtypeData);
if (temp > 28)
{
ratings = AdjustProbability(ratings, hotIndexList.ToArray(), 1.5);
ratings = AdjustProbability(ratings, coldIndexList.ToArray(), 0.2);
}
else if (temp < 10)
{
ratings = AdjustProbability(ratings, coldIndexList.ToArray(), 1.5);
ratings = AdjustProbability(ratings, hotIndexList.ToArray(), 0.2);
}
if (humidity <= 30)
{
ratings = AdjustProbability(ratings, outdoorIndexList.ToArray(), 1.2);
}
else if (humidity <= 70)
{
ratings = AdjustProbability(ratings, outdoorIndexList.ToArray(), 0.7);
}
else
{
ratings = AdjustProbability(ratings, outdoorIndexList.ToArray(), 0.3);
}
while (timeCounter < maxTime)
{
if (index_list.Count > 10)
{
break;
}
double ratings_prob = 0;
n = random.NextDouble();
int rand = 0;
for (int i = 0; i < ratings.Length; i++)
{
ratings_prob += ratings[i];
if (ratings_prob > n)
{
break;
}
else
{
rand = i + 1;
}
}
if (index_list.Contains(rand))
{
continue;
}
else
{
index_list.Add(rand);
timeCounter += timeList[rand];
// for each newly added place slightly adjust the probabilities to favour other types of places on the next choice
List <int> to_change = new List <int>();
for (int k = 0; k < ratings.Length; k++)
{
if (timeList[k] == timeList[rand])
{
to_change.Add(k);
}
}
ratings = AdjustProbability(ratings, index_list.ToArray(), 0.9);
}
}
return(index_list);
}
