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Decided to generate new code because the last had balancing issues.

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LICENSE → LICENSE-GPL
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Program.cs
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using SimsPersonalityGenerator;
var sim = new Sim();
var traits = new Dictionary<string, int>
{
{ "Outgoing", 0 },
{ "Nice", 0 },
{ "Playful", 0 },
{ "Neat", 0 },
{ "Active", 0 }
};
Console.WriteLine("Generated Personality:");
Console.WriteLine(sim);
Console.WriteLine("Welcome to the Sim Personality Generator!");
Console.WriteLine("You can prioritize one or more traits to be above 8 by entering them.");
Console.Write("Enter traits separated by commas (e.g., Outgoing, Nice), or press Enter to generate a random personality: ");
var prioritizedTraitsInput = Console.ReadLine()?.Trim();
// Example of setting one trait higher and compensating for the differences
Console.WriteLine("\nSetting niceness higher...");
sim.RebalanceTraits(Traits.Nice, true);
Console.WriteLine(sim);
// Process the prioritized traits
var prioritizedTraits = new HashSet<string>(prioritizedTraitsInput.Split(',')
.Select(t => t.Trim()).Where(t => !string.IsNullOrEmpty(t) && traits.ContainsKey(t)));
if (prioritizedTraits.Count > 0)
{
Sim.AssignPrioritizedTraits(traits, prioritizedTraits);
}
else
{
Sim.AssignRandomTraits(traits);
}
Sim.DisplayPersonality(traits);

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README.md
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# Sims Personality Generator
As the name suggests, this will generate a personality for The Sims 1 and 2. If you choose to have a bias towards one trait being higher over the others, it will automatically compensate for the difference. It is recommended to only set a bias towards one trait at a time.
As the name suggests, this will generate a personality for The Sims 2. If you choose to have a bias towards one trait being higher over the others, it will automatically compensate for the difference. It is recommended to only set a bias towards one trait at a time.
## Background
I wanted to play The Sims 2 with my characters. Problem was I've been spoiled by traits. How do I create an ideal personality within these limitations? What if I have a random generator that gives me some options but also is smart enough to let me set some bias towards Playfulness or Nice?
The code itself was initially generated using the [Qwen Coder](https://qwenlm.github.io/blog/qwen2.5-coder-family/) model because I wouldn't know to begin. While it is easy to generate random numbers, I also had to have it to account for one being higher than the other. How? That was the point in asking the AI for a template, with that taken into consideration.
The code itself was initially generated using the [Qwen Coder](https://qwenlm.github.io/blog/qwen2.5-coder-family/) model because I wouldn't know to begin. While it is easy to generate random numbers, I didn't know how make it compensate for one trait being higher than the other. How? That was the point in asking the AI for a template, with that taken into consideration.
## License
I license this project under the GPL-3.0 license - see [LICENSE](LICENSE) for details.
I license this project under either the GPL-3.0 or the EUPL-1.2 license – your choice. See [LICENSE-GPL](LICNESE-GPL) or [LICENSE-EUPL](LICENSE-EUPL) for details.

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Sim.cs
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namespace SimsPersonalityGenerator;
using System.Text.Json;
public class Sim
static class Sim
{
public int Nice { get; private set; }
public int Neat { get; private set; }
public int Outgoing { get; private set; }
public int Active { get; private set; }
public int Playful { get; private set; }
const int MIN_HIGHEST_POINT = 8;
const int MAX_LOWEST_POINT = 5;
/// <summary>
/// Initializes a new instance of the Sim class with a random personality.
/// </summary>
public Sim()
private const int Target = 8;
private static readonly Random Random = new Random();
public static void AssignPrioritizedTraits(Dictionary<string, int> traits, HashSet<string> prioritizedTraits)
{
GenerateRandomPersonality();
Console.WriteLine("Assigning high values to prioritized traits...");
var remainingPoints = 50; // Sum of all traits should be <= 50
// Assign high values to prioritized traits (8, 9, or 10)
foreach (var trait in prioritizedTraits)
{
var value = Math.Min(Target + Random.Next(3), 10);
remainingPoints -= value;
traits[trait] = value;
Console.WriteLine($"Setting {trait} to {value}.");
}
// Adjust remaining traits
var nonPrioritizedTraits = traits.Keys.Except(prioritizedTraits).ToList();
foreach (var trait in nonPrioritizedTraits)
{
var maxPossibleValue = Math.Min(remainingPoints, 10);
var value = Random.Next(maxPossibleValue + 1);
remainingPoints -= value;
traits[trait] = value;
Console.WriteLine($"Setting {trait} to {value}.");
}
Console.WriteLine("Adjusted remaining traits to maintain balance.");
}
/// <summary>
/// Sets one personality trait higher or lower and compensates by adjusting another trait.
/// </summary>
/// <param name="trait">The name of the trait to adjust.</param>
/// <param name="isHigh">True if the trait should be set higher, false if it should be set lower.</param>
public void RebalanceTraits(Traits trait, bool isHigh = false)
public static void AssignRandomTraits(Dictionary<string, int> traits)
{
switch (trait)
Console.WriteLine("Generating random personality...");
var remainingPoints = 50; // Sum of all traits should be <= 50
foreach (var trait in traits.Keys)
{
case Traits.Nice:
if (isHigh && Nice >= MAX_LOWEST_POINT)
Nice = Math.Min(MIN_HIGHEST_POINT, Neat + 5);
else
Neat = Math.Min(MIN_HIGHEST_POINT, Nice + 5);
break;
case Traits.Neat:
if (isHigh && Neat >= MAX_LOWEST_POINT)
Neat = Math.Min(MIN_HIGHEST_POINT, Active + 5);
else
Active = Math.Min(MIN_HIGHEST_POINT, Neat + 5);
break;
case Traits.Outgoing:
if (isHigh && Outgoing >= MAX_LOWEST_POINT)
Outgoing = Math.Min(MIN_HIGHEST_POINT, Playful + 5);
else
Playful = Math.Min(MIN_HIGHEST_POINT, Outgoing + 5);
break;
case Traits.Active:
if (isHigh && Active >= MAX_LOWEST_POINT)
Active = Math.Min(MIN_HIGHEST_POINT, Nice + 5);
else
Nice = Math.Min(MIN_HIGHEST_POINT, Active + 5);
break;
case Traits.Playful:
if (isHigh && Playful >= MAX_LOWEST_POINT)
Playful = Math.Min(MIN_HIGHEST_POINT, Outgoing + 5);
else
Outgoing = Math.Min(MIN_HIGHEST_POINT, Playful + 5);
break;
default:
throw new ArgumentException("Invalid trait name.");
var maxPossibleValue = Math.Min(remainingPoints, 10);
var value = Random.Next(maxPossibleValue + 1);
remainingPoints -= value;
traits[trait] = value;
Console.WriteLine($"Setting {trait} to {value}.");
}
Console.WriteLine("Random personality generation complete.");
}
public static void DisplayPersonality(Dictionary<string, int> traits)
{
Console.WriteLine("\nGenerated Sim Personality:");
foreach (var trait in traits)
{
Console.WriteLine($"{trait.Key}: {trait.Value}");
}
}
/// <summary>
/// Generates a random personality with balanced traits.
/// </summary>
public void GenerateRandomPersonality()
{
Random rand = new Random();
Nice = rand.Next(11);
Neat = rand.Next(11);
Outgoing = rand.Next(11);
Active = rand.Next(11);
Playful = rand.Next(11);
// Ensure that the sum of traits is balanced
int totalSum = Nice + Neat + Outgoing + Active + Playful;
if (totalSum > 50)
{
int average = totalSum - 50;
int traitToReduce = rand.Next(5);
switch (traitToReduce)
{
case 0: Nice -= Math.Min(Nice, average); break;
case 1: Neat -= Math.Min(Neat, average); break;
case 2: Outgoing -= Math.Min(Outgoing, average); break;
case 3: Active -= Math.Min(Active, average); break;
case 4: Playful -= Math.Min(Playful, average); break;
}
}
}
/// <summary>
/// Returns a JSON representation of the character's personality traits.
/// </summary>
/// <returns>A JSON containing the values of all personality traits.</returns>
public override string ToString()
{
var sim = new Sim();
{
Nice = Nice;
Neat = Neat;
Outgoing = Outgoing;
Playful = Playful;
Active = Active;
};
var options = new JsonSerializerOptions()
{
WriteIndented = true,
};
return JsonSerializer.Serialize<Sim>(sim, options);
}
}
}

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SimsPersonalityGenerator.csproj
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<PropertyGroup>
<OutputType>Exe</OutputType>
<Version>0.1.100</Version>
<TargetFramework>net9.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>

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Traits.cs
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namespace SimsPersonalityGenerator;
public enum Traits { Nice, Neat, Outgoing, Active, Playful }