public static string GetPerformanceCounterName(StatisticType statType, int hospitalId)
{
string name;
switch (statType)
{
case StatisticType.AvgTimeToSeeADoctor:
name = $"(H{hospitalId}) {CounterAvgTimeToSeeADoctor}";
break;
case StatisticType.AvgAppointmentDuration:
name = $"(H{hospitalId}) {CounterAvgAppointmentDuration}";
break;
case StatisticType.Illness:
name = $"(H{hospitalId}) {CounterPerDisease}";
break;
case StatisticType.EstimatedTimeToSeeADoctor:
name = $"(H{hospitalId}) {CounterEstimatedTimeToSeeADoctor}";
break;
default:
throw new ArgumentOutOfRangeException("statType");
}
return(name);
}
public StatisticEvent(T value, StatisticType metric)
{
Timestamp = DateTime.Now;
Message = value.ToString();
Value = value;
Metric = metric;
}
public void AddDefinition(int statName, string description, StatisticType type)
{
if (m_StatisticsDefinitions.Find(s => s.Name == statName) == null)
{
m_StatisticsDefinitions.Add(new StatisticDefinition(statName, description, type));
}
}
private void LoadDefinitions(string definitionJSON)
{
Hashtable jsonTable = MiniJSON.jsonDecode(definitionJSON) as Hashtable;
if (jsonTable != null)
{
ArrayList statDefinitions = jsonTable["statDefinitions"] as ArrayList;
if (statDefinitions != null)
{
foreach (Hashtable statDefinition in statDefinitions)
{
string id = statDefinition["id"] as string;
string desc = statDefinition["description"] as string;
string typeString = statDefinition["type"] as string;
if (typeString != null)
{
try
{
StatisticType statisticType = (StatisticType)Enum.Parse(typeof(StatisticType), typeString, true);
if (Enum.IsDefined(typeof(StatisticType), statisticType))
{
if (id == null)
{
Debug.LogWarning("[Stats] Missing id");
continue;
}
if (desc == null)
{
Debug.LogWarning("[Stats] Missing description");
continue;
}
AddDefinition(id, desc, statisticType);
}
else
{
Debug.LogWarning(string.Format("[Stats] {0} is not an underlying value of the StatisticType enumeration.", typeString));
}
}
catch (ArgumentException)
{
Debug.LogWarning(string.Format("[Stats] {0} is not a member of the StatisticType enumeration.", typeString));
}
}
}
}
}
else
{
if (!MiniJSON.lastDecodeSuccessful())
{
Debug.LogWarning(string.Format("[Stats] Unable to decode JSON definition file. Error: {0}", MiniJSON.getLastErrorSnippet()));
}
else
{
Debug.LogWarning("[Stats] Unable to decode JSON definition file.");
}
}
}
public static void DistributeAP(Character character, StatisticType type, short amount = 1)
{
switch (type)
{
case StatisticType.Strength:
character.Strength += amount;
break;
case StatisticType.Dexterity:
character.Dexterity += amount;
break;
case StatisticType.Intelligence:
character.Intelligence += amount;
break;
case StatisticType.Luck:
character.Luck += amount;
break;
case StatisticType.MaxHealth:
// TODO: Get addition based on other factors.
break;
case StatisticType.MaxMana:
// TODO: Get addition based on other factors.
break;
}
}
private void HandleStatisticChange(StatisticType statistic, float previousValue, float currentValue)
{
switch (statistic)
{
case StatisticType.Hp:
UpdateHp(Mathf.RoundToInt(currentValue));
break;
case StatisticType.Sp:
UpdateSp(Mathf.RoundToInt(currentValue), Mathf.RoundToInt(playerCharacter[StatisticType.Osp]));
break;
case StatisticType.Osp:
UpdateSp(Mathf.RoundToInt(playerCharacter[StatisticType.Sp]), Mathf.RoundToInt(currentValue));
break;
case StatisticType.MaxSp:
UpdateMaxSp(Mathf.FloorToInt(currentValue + playerCharacter[StatisticType.MaxOsp]));
break;
case StatisticType.MaxOsp:
UpdateMaxSp(Mathf.FloorToInt(currentValue + playerCharacter[StatisticType.MaxSp]));
break;
case StatisticType.UltimateEnergy:
UpdateFever(Mathf.RoundToInt(currentValue));
break;
}
}
public RawStatistic(
string seed)
{
var _match = RawStatistic.c_parsingRegex.Match(seed);
if (!_match.Success)
{
throw new ApplicationException("Parse failure");
}
var _typeIdentifier = _match.Groups["typeIdentifier"].Value;
if (_typeIdentifier == "c")
{
this.Type = StatisticType.Counter;
}
else if (_typeIdentifier == "g")
{
this.Type = StatisticType.Gauge;
}
else if (_typeIdentifier == "ms")
{
this.Type = StatisticType.Timer;
}
else
{
throw new ApplicationException("Unknown statistic type");
}
this.Key = _match.Groups["key"].Value;
this.Value = double.Parse(_match.Groups["value"].Value);
this.SampleRate = double.Parse("0" + _match.Groups["sampleRate"].Value);
}
/// <summary>
/// 开始计时
/// </summary>
/// <param name="type"></param>
public void StartTiming(StatisticType type, string msg, bool ime = false)
{
if (CurType != type || ime)
{
var now = DateTime.Now;
var span = now - StartTime;
if (CurType == StatisticType.Producte)
{
this.ProductTime += span;
// csv [line-2] [开始时间] - [结束时间] -- [msg]
}
else if (CurType == StatisticType.DT)
{
this.DTTime += span;
}
else if (CurType == StatisticType.WaitProducte)
{
this.WaitProductTime += span;
}
CurType = type;
StartTime = now;
if (type == StatisticType.Producte)
{
// csv [line-1] [开始时间] - [] -- [msg]
}
else if (type == StatisticType.DT)
{
}
else if (type == StatisticType.WaitProducte)
{
}
}
}
public bool PushReport(string[] serverNames, DateTime dateTime, StatisticType statisticType)
{
switch (statisticType)
{
case StatisticType.Day:
PushDailyReport(serverNames, dateTime);
break;
case StatisticType.Week:
PushWeeklyReport(serverNames, dateTime);
break;
case StatisticType.Month:
PushMonthlyReport(serverNames, dateTime);
break;
case StatisticType.Quarter:
break;
case StatisticType.Year:
break;
default:
break;
}
return(true);
}
public static double StatisticTypeValue(this Datapoint dataPoint, StatisticType statisticType)
{
switch (statisticType)
{
case StatisticType.Average:
return(dataPoint.Average);
case StatisticType.Sum:
return(dataPoint.Sum);
case StatisticType.SampleCount:
return(dataPoint.SampleCount);
case StatisticType.Maximum:
return(dataPoint.Maximum);
case StatisticType.Minimum:
return(dataPoint.Minimum);
case StatisticType.p10:
case StatisticType.p50:
case StatisticType.p90:
case StatisticType.p95:
case StatisticType.p99:
return(dataPoint.ExtendedStatistics.Single().Value);
default:
throw new InvalidOperationException($"Statistic type {statisticType} not supported");
}
}
public async Task <Response> UpdatePostStatisticAsync(Guid postId, StatisticType statisticType)
{
try
{
var pp = _postExtensionRepository.Get(postId);
if (pp == null)
{
return(new FailedResponse((int)ResponseFailureCode.PostNotFound));
}
if (statisticType == StatisticType.Hits)
{
pp.Hits += 1;
}
if (statisticType == StatisticType.Likes)
{
pp.Likes += 1;
}
await _postExtensionRepository.UpdateAsync(pp);
return(new SuccessResponse());
}
catch (Exception e)
{
Logger.LogError(e, $"Error {nameof(UpdatePostStatisticAsync)}(postId: {postId}, statisticType: {statisticType})");
return(new FailedResponse((int)ResponseFailureCode.GeneralException));
}
}
public float this[StatisticType type]
{
get
{
return(statistics[type]);
}
}
///// <summary>
///// All status effects applied to this system in time order
///// </summary>
//private StatusEffectQueue statusEffects = new StatusEffectQueue();
public float this[StatisticType type]
{
get
{
return(statistics.ContainsKey(type) ? statistics[type] : 0);
}
set
{
if (!statistics.ContainsKey(type))
{
if (value != 0)
{
statistics.Add(type, value);
onStatisticChange.Invoke(type, 0, value);
}
}
else
{
float previousValue = statistics[type];
if (value != previousValue)
{
statistics[type] = value;
onStatisticChange.Invoke(type, previousValue, value);
}
}
}
}
/// <summary>
/// Simple 1-value score
/// </summary>
/// <param name="caption"></param>
/// <param name="type"></param>
private void DisplayScore(string caption, StatisticType type)
{
var score = Instantiate(scoreViewPrefab, Vector3.zero, Quaternion.identity, scoreRoot);
score.Caption = caption;
score.Value = Statistics.Stats[type].Value.ToString();
}
public Task Execute(IJobExecutionContext context)
{
Console.WriteLine("Starting statistics persistence in database");
var calculation = (INewCalculationTask)context.MergedJobDataMap.Get("calculation");
try
{
using (StatisticContext dbContext = new StatisticContext())
{
dbContext.Database.EnsureCreated();
foreach (var operation in calculation.GetOperations())
{
foreach (KeyValuePair <String, Statistic> kvp in operation.GetComputeDictionary())
{
StatisticType statisticType = dbContext.StatisticTypes.Single(st => st.Name == operation.GetName());
kvp.Value.StatisticType = statisticType;
dbContext.Statistics.Add(kvp.Value);
}
operation.GetComputeDictionary().Clear();
}
dbContext.SaveChanges();
}
}
catch (Exception ex)
{
Console.WriteLine(ex);
}
Console.WriteLine("Persistence finished");
return(Task.FromResult(0));
}
public StatisticsUserControl(DataBase db, StatisticType statisticType)
{
_dataBase = db;
_bigChartActive = false;
DataContext = this;
InitializeComponent();
StatisticColumns = 2;
if (statisticType == StatisticType.Overview)
{
// Spezial Fall -> zeige eine Übersicht ausgewählter Statistiken
OverviewVisible = true;
StaticticsShowOverView();
}
else
{
// Zeige ausgewählte Einzelstatistik
OverviewVisible = false;
}
return;
}
public void AddStatistic(string json, DateTime calculationDateTime, StatisticType type, IReadOnlyList <string> collectionIds)
{
ExecuteQuery(() =>
{
using (var database = Context.CreateDatabaseContext())
{
var collection = database.GetCollection <Statistic>();
var statistics = collection
.Find(x => x.Type == type)
.GetStatisticsWithCollectionIds(collectionIds)
.ToList();
statistics.ForEach(x => x.IsValid = false);
collection.Update(statistics);
var statistic = new Statistic
{
CalculationDateTime = calculationDateTime,
CollectionIds = collectionIds,
Type = type,
JsonResult = json,
IsValid = true
};
collection.Insert(statistic);
}
});
}
public static string GetPerformanceCounterName( StatisticType statType, int hospitalId )
{
string name;
switch ( statType )
{
case StatisticType.AvgTimeToSeeADoctor:
name = $"(H{hospitalId}) {CounterAvgTimeToSeeADoctor}";
break;
case StatisticType.AvgAppointmentDuration:
name = $"(H{hospitalId}) {CounterAvgAppointmentDuration}";
break;
case StatisticType.Illness:
name = $"(H{hospitalId}) {CounterPerDisease}";
break;
case StatisticType.EstimatedTimeToSeeADoctor:
name = $"(H{hospitalId}) {CounterEstimatedTimeToSeeADoctor}";
break;
default:
throw new ArgumentOutOfRangeException( "statType" );
}
return name;
}
public IPlotTimeBuilder PlotGraph(GraphType graphType, StatisticType statisticType, TimeSpan period)
{
StatisticType = statisticType;
GraphType = graphType;
Period = period;
return(plotTimeBuilder);
}
public AngleValueBehaviour(double value, string unityObjectName, StatisticType statisticType, PatientJoint affectedJoint, PatientJoint activeJoint, PatientJoint childJoint, SettingsManager settingsManager, Feedback feedback, PitchType pitchType, FulFillable previous, int repetitions, WriteStatisticManager statisticManager) : base(value, unityObjectName, statisticType, affectedJoint, activeJoint, childJoint, settingsManager, feedback, pitchType, previous, repetitions, statisticManager)
{
this.tolerance = settingsManager.GetValue <int>("ingame", "angleTolerance");
this.angle = 0;
this.minAngle = initialValue - tolerance;
this.maxAngle = initialValue + tolerance;
}
public static ChangeRule Create(string[] subs)
{
Client c = new Client(subs[1]);
StatisticType type = StatisticType.Max;
if (subs[3].Equals("max", StringComparison.InvariantCultureIgnoreCase))
{
type = StatisticType.Max;
}
else if (subs[3].Equals("min", StringComparison.InvariantCultureIgnoreCase))
{
type = StatisticType.Min;
}
else if (subs[3].Equals("std", StringComparison.InvariantCultureIgnoreCase))
{
type = StatisticType.Std;
}
else if (subs[3].Equals("median", StringComparison.InvariantCultureIgnoreCase))
{
type = StatisticType.Median;
}
else if (subs[3].Equals("mean", StringComparison.InvariantCultureIgnoreCase))
{
type = StatisticType.Mean;
}
else
{
throw new InvalidOperationException("dont know the type");
}
ChangeRule r = new ChangeRule(c, type, Convert.ToDouble(subs[4]));
return(r);
}
public StatisticData AddStatistic(string name, StatisticType dataType, StatisticStates state, string message, PatientJoint affectedJoint)
{
var statistic = new StatisticData(date, name, dataType, state, message, affectedJoint, GameManager.ActiveExercise, GameManager.ActivePatient);
GameManager.ActivePatient.CurrentStatistic.Add(statistic);
return(statistic);
}
public ChartLine(StatisticType statisticType, StatisticValue valueType)
{
MinHeight = 0;
Title = $"{valueType.ToString()} {statisticType.ToString().ToLower()}";
Values = new ChartValues <double>();
Statistic = statisticType;
Value = valueType;
}
public Statistic(int name, StatisticType type)
{
m_Name = name;
if (type == StatisticType.Min)
{
m_CurrentValue = int.MaxValue;
}
}
public async Task <IActionResult> Index(StatisticType statisticType)
{
var userDetails = await userManager.GetUserAsync(User);
var model = await viewModelBuilder.WithStatisticType(statisticType).WithUser(userDetails).Build();
return(View(model));
}
// public bool AddStatusEffect(StatusEffect statusEffect)
// {
// bool isExisted = statusEffects.Contains(statusEffect);
// if (statusEffects.Push(statusEffect))
// {
//#if UNITY_EDITOR
// Debug.Log(LogUtility.MakeLogString("StatisticSystem", "Add " + statusEffect + "\n" + ToString()));
//#endif
// UpdateChangedStatistics(statusEffect);
// onStatusEffectChange.Invoke(isExisted ? 0 : 1, statusEffect);
// return true;
// }
// return false;
// }
// public StatusEffect RemoveStatusEffect(int id)
// {
// StatusEffect statusEffect = statusEffects.Remove(id);
// if (statusEffect != null)
// {
//#if UNITY_EDITOR
// Debug.Log(LogUtility.MakeLogString("StatisticSystem", "Remove " + statusEffect + "\n" + ToString()));
//#endif
// UpdateChangedStatistics(statusEffect);
// onStatusEffectChange.Invoke(-1, statusEffect);
// }
// return statusEffect;
// }
public float CalculateModified(StatisticType type, params IAttributeCollection[] modifiers)
{
IAttributeCollection[] args = new IAttributeCollection[attributeSets.Length + modifiers.Length];
Array.Copy(attributeSets, args, attributeSets.Length);
Array.Copy(modifiers, 0, args, attributeSets.Length, modifiers.Length);
return(Calculate(type, args));
}
private VariousDetailsStatisticItem(StatisticType type, string username, Uri link)
: base(type, username)
{
Details = new Dictionary <string, string>()
{
{ DetailKeys.Link, link.ToString() },
};
}
protected StatisticItem(StatisticType type, string username)
{
Type = type;
Username = username;
Timestamp = DateTime.UtcNow;
Details = null;
UpdateId = Guid.Empty;
}
private VariousDetailsStatisticItem(StatisticType type, string username, string searchFor)
: base(type, username)
{
Details = new Dictionary <string, string>()
{
{ DetailKeys.SearchFor, searchFor },
};
}
private AuthenticationStatisticItem(StatisticType type, string username, string username2)
: base(type, username)
{
Details = new Dictionary <string, string>()
{
{ DetailKeys.Username, username2 },
};
}
private NavigationStatisticItem(StatisticType type, string username, string itemId)
: base(type, username)
{
Details = new Dictionary <string, string>()
{
{ DetailKeys.ItemId, itemId },
};
}
public RawStatistic(
string seed)
{
var _match = RawStatistic.c_parsingRegex.Match(seed);
if (!_match.Success) { throw new ApplicationException("Parse failure"); }
var _typeIdentifier = _match.Groups["typeIdentifier"].Value;
if (_typeIdentifier == "c") { this.Type = StatisticType.Counter; }
else if (_typeIdentifier == "g") { this.Type = StatisticType.Gauge; }
else if (_typeIdentifier == "ms") { this.Type = StatisticType.Timer; }
else { throw new ApplicationException("Unknown statistic type"); }
this.Key = _match.Groups["key"].Value;
this.Value = double.Parse(_match.Groups["value"].Value);
this.SampleRate = double.Parse("0" + _match.Groups["sampleRate"].Value);
}
public Statistic(int name, StatisticType type)
{
m_Name = name;
if (type == StatisticType.Min)
m_CurrentValue = int.MaxValue;
}
public Task(int name, StatisticType type, int goal)
: base(name, type)
{
m_Goal = goal;
}
public Dictionary<MaxMinValue, int> CalculateIntValue(List<MaxMinValue> MaxMinList, StatisticType statType, GeoPolygonRegion polygonRegion)
{
Dictionary<MaxMinValue, int> intCountDic = new Dictionary<MaxMinValue, int>();
ValueMatrixIntCollection studyValueMatrix = (ValueMatrixIntCollection) this.m_Study.StudyValueMatrix;
if (studyValueMatrix == null)
{
return null;
}
this.m_NeedSolveFloatMaxShortMin = this.NeedSolveFloatMaxShortMinValue(MaxMinList);
studyValueMatrix.Open(this.m_SubSysInterface.ProjectManager);
foreach (MaxMinValue value2 in MaxMinList)
{
intCountDic[value2] = 0;
}
this.GetIntCountDic(studyValueMatrix, ref intCountDic, MaxMinList, statType, polygonRegion);
studyValueMatrix.Close(false);
return intCountDic;
}
public Dictionary<MaxMinValue, int> CalculateShortValue(List<MaxMinValue> MaxMinList, StatisticType statType, GeoPolygonRegion polygon)
{
ValueMatrixShortCollection studyValueMatrix = (ValueMatrixShortCollection) this.m_Study.StudyValueMatrix;
if (studyValueMatrix == null)
{
return null;
}
return this.CalculateShortValue(MaxMinList, statType, studyValueMatrix, polygon);
}
public Dictionary<MaxMinValue, int> CalculateShortValue(List<MaxMinValue> MaxMinList, StatisticType statType, ValueMatrixShortCollection valuematrix, GeoPolygonRegion polygon)
{
Dictionary<MaxMinValue, int> intCountDic = new Dictionary<MaxMinValue, int>();
this.m_NeedSolveFloatMaxShortMin = this.NeedSolveFloatMaxShortMinValue(MaxMinList);
valuematrix.Open(this.m_SubSysInterface.ProjectManager);
foreach (MaxMinValue value2 in MaxMinList)
{
intCountDic[value2] = 0;
}
this.GetShortCountDic(valuematrix, ref intCountDic, MaxMinList, statType, polygon);
valuematrix.Close(false);
return intCountDic;
}
private void GetGeneralCountDic(double powervalue, ref Dictionary<MaxMinValue, int> intCountDic, List<MaxMinValue> MaxMinList, StatisticType statType)
{
foreach (MaxMinValue value2 in MaxMinList)
{
double max = value2.max;
double min = value2.min;
if (((powervalue > min) && (powervalue < max)) || (powervalue == max))
{
intCountDic[value2] += 1;
this.m_ValidPoint++;
break;
}
}
}
private void GetShortCountDic(ValueMatrixShortCollection valuematrix, ref Dictionary<MaxMinValue, int> intCountDic, List<MaxMinValue> MaxMinList, StatisticType statType, GeoPolygonRegion polygon)
{
if (this.m_NeedSolveFloatMaxShortMin[0])
{
this.m_ActualMinValue = 0x7fffffff;
}
if (this.m_NeedSolveFloatMaxShortMin[1])
{
this.m_ActualMaxValue = -32768f;
}
this.m_ValidPoint = 0.0;
foreach (short num in valuematrix.GetValidPointsValue(polygon, this.m_PredictionGroup.Resolution))
{
if (num != -32768)
{
if (num > this.m_ActualMaxValue)
{
this.m_ActualMaxValue = num;
}
if (num < this.m_ActualMinValue)
{
this.m_ActualMinValue = num;
}
double powervalue = num;
this.GetGeneralCountDic(powervalue, ref intCountDic, MaxMinList, statType);
}
}
}
public void Statistic(StatisticType type, int width, int height)
{
IntPtr exception = IntPtr.Zero;
IntPtr result;
#if ANYCPU
if (NativeLibrary.Is64Bit)
#endif
#if WIN64 || ANYCPU
result = NativeMethods.X64.MagickImage_Statistic(Instance, (UIntPtr)type, (UIntPtr)width, (UIntPtr)height, out exception);
#endif
#if ANYCPU
else
#endif
#if !WIN64 || ANYCPU
result = NativeMethods.X86.MagickImage_Statistic(Instance, (UIntPtr)type, (UIntPtr)width, (UIntPtr)height, out exception);
#endif
CheckException(exception, result);
Instance = result;
}
public StatisticDefinition(int name, string description, StatisticType type)
{
m_Name = name;
m_Description = description;
m_Type = type;
}
public EncryptedPref this[StatisticType _type]
{
get { return m_Statistics[_type]; }
}