public async Task EntityFramework_CharacterStatistics_EntityMatchesInput()
{
var context = new RpgContext(new GeneralOptions
{
UseInMemoryDatabase = true,
DatabaseName = "CharacterStatistics_EntityMatchesInput"
});
var provider = new EfCharacterProvider(context);
var statProvider = new EfStatisticProvider(context);
ulong userIdentifier = 305847674974896128;
string name = "Melon Head";
int id = 1;
var strength = await statProvider.CreateAttributeAsync("Strength");
var value = new StatisticValue(5);
await provider.CreateCharacterAsync(id, userIdentifier, true, name);
var result = await provider.GetActiveCharacterAsync(userIdentifier);
result.SetStatistic(strength, value);
await provider.UpdateCharacterAsync(result);
result = await provider.GetActiveCharacterAsync(userIdentifier);
Assert.True(result.Statistics.Count > 0);
}
public ChartLine(StatisticType statisticType, StatisticValue valueType)
{
MinHeight = 0;
Title = $"{valueType.ToString()} {statisticType.ToString().ToLower()}";
Values = new ChartValues <double>();
Statistic = statisticType;
Value = valueType;
}
public static int TryGetInStatistics(this GetPlayerStatisticsResult Result, string Identifier, int PreviousValue)
{
StatisticValue statistic = Result.Statistics.Find(T => T.StatisticName == Identifier);
if (statistic != null)
{
return(statistic.Value);
}
return(PreviousValue);
}
/// <summary>
/// クラス内に保存されている統計情報の取得
/// </summary>
/// <param name="StatisticName">統計情報名</param>
/// <returns>統計情報名が見つからない場合は0を返す</returns>
public int GetStatisticValue(string StatisticName)
{
StatisticValue staValue = valueList.Find(n => n.StatisticName == StatisticName);
if (staValue == null)
{
return(0);
}
return(staValue.Value);
}
protected override void HandleGetStat(XboxLiveUser user, string statName)
{
this.isLocalUserAdded = true;
StatisticValue statValue = XboxLive.Instance.StatsManager.GetStatistic(user, statName);
if (statValue != null)
{
this.Value = statValue.AsNumber;
}
}
/// <summary>
/// Sets the specified Statistic to the given StatisticValue if it exists.
/// Otherwise, add a new StatisticMapping entry to the list.
/// </summary>
/// <param name="stat">The statistic to set.</param>
/// <param name="newValue">The StatisticValue to associate with the Statistic.</param>
public void SetStatistic(Statistic stat, StatisticValue newValue)
{
var statMap = Statistics.FirstOrDefault(x => x.Statistic.Equals(stat));
if (statMap == null)
{
Statistics.Add(new StatisticMapping(stat, newValue));
return;
}
statMap.StatisticValue = newValue;
}
object GetStatValue(StatisticValue value)
{
switch (value.DataType)
{
case StatisticDataType.Number:
return(value.AsInteger);
case StatisticDataType.String:
return(value.AsString);
default:
return(value.AsNumber);
}
}
private void LoadbaseData(StatisticValue stat)
{
if (stat.Equals(null))
{
return;
}
maxValue = stat.MaxValue;
initialLevel = stat.InitialLevel;
maxLevel = stat.MaxLevel;
maximizeOnUpgrade = stat.MaximizeOnUpgrade;
valueUpgrade = stat.ValueUpgrade;
level = initialLevel;
value = stat.MaxValue;
}
public void Stats()
{
var stat = new StatisticValue<AgentStatistic, int>(AgentStatistic.Memory, 100);
Assert.IsFalse(stat.IsBuffed);
Assert.IsFalse(stat.IsDebuffed);
stat.Alter(110);
Assert.IsTrue(stat > 100);
Assert.IsTrue(stat.IsBuffed);
Assert.IsFalse(stat.IsDebuffed);
stat.Alter(90);
Assert.IsTrue(stat < 100);
Assert.IsFalse(stat.IsBuffed);
Assert.IsTrue(stat.IsDebuffed);
}
protected override void HandleGetStat(XboxLiveUser user, string statName)
{
this.isLocalUserAdded = true;
try
{
StatisticValue statValue = XboxLive.Instance.StatsManager.GetStatistic(user, statName);
if (statValue != null)
{
this.Value = statValue.AsNumber;
}
}
catch (Exception)
{
// GetStatistic will fail with an exception if if its the
// first time reading the stat for example.
}
}
private StatisticValue[] ParseStats(SkyrimSavegame savegame)
{
List <StatisticValue> stats = new List <StatisticValue>();
var orderedMiscStats = savegame.GetMiscStats().OrderBy(p => p.category).ThenBy(n => n.name);
foreach (var ms in orderedMiscStats)
{
StatisticValue sv = new StatisticValue();
StatisticCategoryType catType = (StatisticCategoryType)ms.category;
sv.CategoryId = (int)catType;
sv.Name = ms.name;
sv.Value = ms.value;
stats.Add(sv);
}
return(stats.ToArray());
}
private void AllOther(HttpContext context)
{
Granularity granularity = Granularity.Day;
int estPoints = GetRangeDays();
int maxPoints = imageWidth / POINT_SPACE;
int step = 1;
int maxSteps = imageWidth / LABLE_SPACE;
if (estPoints > maxPoints)
{
estPoints = GetRangeMonths();
granularity = Granularity.Month;
}
if (estPoints > maxPoints)
{
estPoints = GetRangeYears();
granularity = Granularity.Year;
}
while (estPoints > maxSteps)
{
estPoints = estPoints / 2;
step++;
}
StatisticResult result = null;
switch (statisticsType)
{
case StatisticsType.CountCommunityMembers:
result = Statistics.GetObjectCountCommunityMembers(dateFrom, dateTo, groupBy, granularity, parentObjectID, include);
break;
case StatisticsType.CountProfileFriends:
result = Statistics.GetObjectCountProfileFriends(dateFrom, dateTo, groupBy, granularity, parentObjectID, include);
break;
case StatisticsType.TotalObjectsCount:
result = Statistics.GetObjectCountCommunityTotal(parentObjectID, groupBy).Results[0];
break;
case StatisticsType.CreationObjects:
if (!ignoreCommunity && parentObjectID.HasValue)
{
if (parentObjectType == Helper.GetObjectTypeNumericID("Community"))
{
result = Statistics.GetObjectCreationCommunityObjects(dateFrom, dateTo, groupBy, granularity, parentObjectID, include);
}
else if (parentObjectType == Helper.GetObjectTypeNumericID("ProfileCommunity"))
{
result = Statistics.GetObjectCreationProfileObjects(dateFrom, dateTo, groupBy, granularity, parentObjectID, include);
}
else
{
result = Statistics.GetObjectCreationObjects(dateFrom, dateTo, groupBy, granularity, include);
}
}
else
{
result = Statistics.GetObjectCreationObjects(dateFrom, dateTo, groupBy, granularity, include);
}
break;
}
if (result == null || result.Series.Count < 1)
{
context.Response.ContentType = "text/plain";
context.Response.StatusCode = 501;
context.Response.AddHeader("IDS", string.Concat(chartId, "|", errorId));
context.Response.Write(language.GetString("MessageStatisticNoData"));
return;
}
List <string> colors = GetColors(result.Series.Count);
DateTime minDate = DateTime.MaxValue;
DateTime maxDate = DateTime.MinValue;
DateTime lastDate = DateTime.MinValue;
Graph graph = new Graph();
graph.Bgcolor = "#FFFFFF";
if (!string.IsNullOrEmpty(result.LabelX))
{
Legend xLegend = new Legend();
xLegend.Text = result.LabelX;
xLegend.Style = "color: #444444; font-size: 12px;";
graph.X_Legend = xLegend;
}
if (!string.IsNullOrEmpty(result.LabelY))
{
Legend yLegend = new Legend();
yLegend.Text = result.LabelY;
yLegend.Style = "color: #444444; font-size: 12px;";
graph.Y_Legend = yLegend;
}
XAxis xAxis = new XAxis();
xAxis.Colour = "#444444";
xAxis.GridColour = "#CCCCCC";
xAxis.Steps = step;
graph.X_Axis = xAxis;
YAxis yAxis = new YAxis();
yAxis.Colour = "#444444";
yAxis.GridColour = "#CCCCCC";
int y = result.MaxY - result.MinY;
yAxis.Steps = y / 5;
graph.Y_Axis = yAxis;
string toolTip = language.GetString("LableStatisticCalls");
for (int i = 0; i < result.Series.Count; i++)
{
ChartBase chart = null;
switch (chartType)
{
case ChartType.Bar:
chart = new Bar();
break;
case ChartType.Line:
chart = new Line();
break;
case ChartType.Column:
chart = new HBar();
break;
case ChartType.Pie:
chart = new Pie();
break;
}
chart.Colour = colors[i];
//chart.Text = result.Series[i].Label.ToLowerInvariant();
chart.Text = result.Series[i].Label;
if (statisticsType == StatisticsType.PageView)
{
chart.Tooltip = string.Format("#val# {0} ({1})", toolTip, chart.Text);
}
else
{
chart.Tooltip = string.Format("#val#");
}
chart.Fontsize = 9;
for (int j = 0; j < result.Series[i].Values.Count; j++)
{
StatisticValue value = result.Series[i].Values[j];
string xLabel = string.Empty;
if (value is StatisticValueDateTimeInt)
{
StatisticValueDateTimeInt valueDateTime = (StatisticValueDateTimeInt)value;
if (lastDate == DateTime.MinValue)
{
lastDate = valueDateTime.X;
}
if (valueDateTime.X > maxDate)
{
maxDate = valueDateTime.X;
}
if (valueDateTime.X < minDate)
{
minDate = valueDateTime.X;
}
if (j % xAxis.Steps == 0)
{
if (granularity == Granularity.Year)
{
xLabel = valueDateTime.X.ToString("yyyy");
}
else if (granularity == Granularity.Month)
{
if (lastDate.Year != valueDateTime.X.Year || valueDateTime.X.Month == 1)
{
lastDate = valueDateTime.X;
xLabel = valueDateTime.X.ToString("MMM. yy");
}
else
{
xLabel = valueDateTime.X.ToString("MMM.");
}
}
else if (granularity == Granularity.Day)
{
if (lastDate.Year != valueDateTime.X.Year || lastDate.Month != valueDateTime.X.Month || valueDateTime.X.Day == 1)
{
lastDate = valueDateTime.X;
xLabel = valueDateTime.X.ToString("d.M.");
}
else
{
xLabel = valueDateTime.X.ToString("d.");
}
}
}
}
else if (value is StatisticValueStringInt)
{
xLabel = ((StatisticValueStringInt)value).X;
}
var val = chart.NewValue(xLabel, value.Y);
chart.Values.Add(val);
}
graph.Title = new Title(GetTitle(granularity));
graph.AddElement(chart);
}
//context.Response.ContentType = "application/json";
context.Response.ContentType = "text/plain";
context.Response.AddHeader("IDS", string.Concat(chartId, "|", errorId));
context.Response.Write(graph.ToString());
}
protected async Task <bool> SetInitialStatistic(Character character, Statistic statistic, int newValue)
{
int statMin, statMax, statsAtMax, points, level = GetCharacterLevel(character);
// This is either an array of all the character's attributes or skills, never both.
int[] stats;
// Set variables
if (statistic is Attribute attrib)
{
statMin = _statOptions.InitialAttributeMin;
statMax = _statOptions.InitialAttributeMax;
points = _statOptions.InitialAttributePoints;
statsAtMax = _statOptions.InitialAttributesAtMax;
stats = character.Statistics.Where(x => x.Statistic is Attribute).Select(x => x.StatisticValue.Value).ToArray();
if (level > _statOptions.InitialSetupMaxLevel && await InitialAttributesSet(character))
{
throw new ProgressionException(Messages.CHAR_LEVEL_TOO_HIGH);
}
}
else
{
statMin = _statOptions.InitialSkillMin;
statMax = _statOptions.InitialSkillMax;
points = _statOptions.InitialSkillPoints;
statsAtMax = _statOptions.InitialSkillsAtMax;
stats = character.Statistics.Where(x => x.Statistic is Skill).Select(x => x.StatisticValue.Value).ToArray();
if (level > _statOptions.InitialSetupMaxLevel && await InitialSkillsSet(character))
{
throw new ProgressionException(Messages.CHAR_LEVEL_TOO_HIGH);
}
}
if (newValue < statMin)
{
throw new ProgressionException(Messages.TOO_LOW);
}
if (newValue > statMax)
{
throw new ProgressionException(Messages.TOO_HIGH);
}
int sum = stats.Sum(x => x);
StatisticValue currentVal = character.GetStatistic(statistic);
if (currentVal == null)
{
currentVal = new StatisticValue(0);
}
// Make sure the character has enough remaining points to do that
// (we refund the current stat value since we're overwriting it)
var newSum = sum - currentVal.Value + newValue;
if (points - newSum < 0)
{
throw new ProgressionException(string.Format(Messages.STAT_NOT_ENOUGH_POINTS, newSum, points));
}
// Check if they go over the limit for attributes set to the max
// Example: InitialAttributesAtMax is set to 2 and InitialAttributeMax is set to 10
// If we already have 2 attributes with a value of 10 and we try to set a third, disallow it.
if (statsAtMax > 0 &&
newValue == statMax &&
stats.Count(x => x == statMax) + 1 > statsAtMax)
{
throw new ProgressionException(String.Format(Messages.STAT_TOO_MANY_AT_MAX, statsAtMax));
}
currentVal.Value = newValue;
return(true);
}
public void Load(StatisticValue stat)
{
ResetStatsData();
LoadbaseData(stat);
}
public StatisticMapping(Statistic statistic, StatisticValue value)
{
Statistic = statistic;
StatisticValue = value;
}
public static StatisticInfo <T>?GetStatisticMeta <TCollect, T>(ref TCollect collect, StatisticValue value)
where TCollect : struct, ICollectionWrapper <T>
{
if (collect.HasIndexOverhead)
{
if (collect.HasNext)
{
var item = collect.Value;
var count = 1u;
var sum = item;
var product = item;
var minus = item;
switch (value)
{
case StatisticValue.Sum:
while (collect.HasNext)
{
item = collect.Value;
checked
{
sum = NumberOperators <T> .Sum(sum, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
});
case StatisticValue.Minus:
while (collect.HasNext)
{
item = collect.Value;
checked
{
minus = NumberOperators <T> .Minus(minus, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Minus = new Option <T>(minus),
});
case StatisticValue.Product:
while (collect.HasNext)
{
item = collect.Value;
checked
{
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Product = new Option <T>(product),
});
case StatisticValue.All:
while (collect.HasNext)
{
item = collect.Value;
checked
{
sum = NumberOperators <T> .Sum(sum, item);
minus = NumberOperators <T> .Minus(minus, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Minus = new Option <T>(minus),
Product = new Option <T>(product),
});
case StatisticValue.SumMinus:
while (collect.HasNext)
{
item = collect.Value;
checked
{
sum = NumberOperators <T> .Sum(sum, item);
minus = NumberOperators <T> .Minus(minus, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Minus = new Option <T>(minus),
});
case StatisticValue.SumProduct:
while (collect.HasNext)
{
item = collect.Value;
checked
{
sum = NumberOperators <T> .Sum(sum, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Product = new Option <T>(product),
});
case StatisticValue.MinusProduct:
while (collect.HasNext)
{
item = collect.Value;
checked
{
minus = NumberOperators <T> .Minus(minus, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Minus = new Option <T>(minus),
Product = new Option <T>(product),
});
}
}
}
else
{
var size = collect.Size;
if (size > 0)
{
var item = collect[0];
var count = 1u;
var sum = item;
var minus = item;
var product = item;
switch (value)
{
case StatisticValue.Sum:
while (count < size)
{
item = collect[count];
checked
{
sum = NumberOperators <T> .Sum(sum, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
});
case StatisticValue.Minus:
while (count < size)
{
item = collect[count];
checked
{
minus = NumberOperators <T> .Minus(minus, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Minus = new Option <T>(minus),
});
case StatisticValue.Product:
while (count < size)
{
item = collect[count];
checked
{
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Product = new Option <T>(product),
});
case StatisticValue.All:
while (count < size)
{
item = collect[count];
checked
{
sum = NumberOperators <T> .Sum(sum, item);
minus = NumberOperators <T> .Minus(minus, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Minus = new Option <T>(minus),
Product = new Option <T>(product),
});
case StatisticValue.SumMinus:
while (count < size)
{
item = collect[count];
checked
{
sum = NumberOperators <T> .Sum(sum, item);
minus = NumberOperators <T> .Minus(minus, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Minus = new Option <T>(minus),
});
case StatisticValue.SumProduct:
while (count < size)
{
item = collect[count];
checked
{
sum = NumberOperators <T> .Sum(sum, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Sum = new Option <T>(sum),
Count = count,
Product = new Option <T>(product),
});
case StatisticValue.MinusProduct:
while (count < size)
{
item = collect[count];
checked
{
minus = NumberOperators <T> .Minus(minus, item);
product = NumberOperators <T> .Product(product, item);
count += 1;
}
}
return(new StatisticInfo <T>
{
Count = count,
Minus = new Option <T>(minus),
Product = new Option <T>(product),
});
}
}
}
return(null);
}
/// </inheritdoc>
public double?RollStatistic(Statistic stat, Character character, bool useEffects = false)
{
StatisticValue sv = character?.GetStatistic(stat, useEffects);
if (character == null || sv == null)
{
return(null);
}
int rng = GameRandom.Between(1, 100);
double maxSuccessRoll;
int statNum = sv.Value;
if (statNum <= 0)
{
return(-999);
}
if (stat is Attribute)
{
maxSuccessRoll = Math.Round(32.2 * Math.Sqrt(statNum) - 7);
}
else
{
maxSuccessRoll = Math.Round(10 * Math.Sqrt(statNum) - 0.225 * statNum - 1);
}
Attribute luckStat = character.Statistics.Select(x => x.Statistic).OfType <Attribute>().FirstOrDefault(x => x.Aliases.ContainsIgnoreCase("luck"));
double luckInfluence = 1.0;
int luckDifference = 0;
if (luckStat != null)
{
// each point of LCK above/below 5 prolly shoulda been +/-1% flat chance max
// Do that, but ALSO make each point in luck a +/-0.1% chance for mega crit
int luckValue = character.GetStatistic(luckStat, useEffects).Value;
luckDifference = luckValue - 5;
luckInfluence += luckDifference * 0.01;
maxSuccessRoll *= luckInfluence;
}
maxSuccessRoll = Math.Min(maxSuccessRoll, HIGHEST_MAX_SUCCESS_ROLL);
double resultPercent = (maxSuccessRoll - rng) / maxSuccessRoll;
int critRng = GameRandom.Between(1, 1000);
// Success
if (resultPercent >= 0)
{
double maxCritSuccessRoll = 1 + (1 * luckDifference);
// Minimum 1, maximum 10
maxCritSuccessRoll = Math.Max(1, Math.Min(maxCritSuccessRoll, 10));
if (critRng <= maxCritSuccessRoll)
{
return(999);
}
}
// Failure
else
{
double maxCritFailRoll = 6 - (1 * luckDifference);
maxCritFailRoll = Math.Min(maxCritFailRoll, 10);
if (critRng <= maxCritFailRoll)
{
return(-999);
}
}
return(Math.Round(resultPercent * 100.0, 1));
}