public GraphForm(Replay replay, string statName, List <SelectedStatisticCell> selection, StatisticUnitType unitType)
{
if (selection.Count > 0)
{
InitializeComponent();
_replay = replay;
_statisticName = statName;
_statistics = selection;
_unitType = unitType;
if (selection[0].TackIndex.HasValue)
{
_type = StatisticGroupType.Tack;
}
else if (selection[0].LegIndex.HasValue)
{
_type = StatisticGroupType.Leg;
}
else
{
_type = StatisticGroupType.Boat;
}
WireEvents();
ConfigureGraph();
_painter = new Thread(new ThreadStart(this.Run));
_painter.Start();
}
else
{
throw new Exception("You must specify at least one statistic");
}
}
public GraphForm(Replay replay, string statName, List<SelectedStatisticCell> selection, StatisticUnitType unitType)
{
if (selection.Count > 0)
{
InitializeComponent();
_replay = replay;
_statisticName = statName;
_statistics = selection;
_unitType = unitType;
if (selection[0].TackIndex.HasValue)
{
_type = StatisticGroupType.Tack;
}
else if (selection[0].LegIndex.HasValue)
{
_type = StatisticGroupType.Leg;
}
else
{
_type = StatisticGroupType.Boat;
}
WireEvents();
ConfigureGraph();
_painter = new Thread(new ThreadStart(this.Run));
_painter.Start();
}
else
{
throw new Exception("You must specify at least one statistic");
}
}
public T GetValue <T>(string name, DateTime now, StatisticUnitType sut)
{
if (sut == StatisticUnitType.metric)
{
return(((Dictionary <string, TimeLineStatistic <T> >)_stats[typeof(T)])[name].GetValue(now));
}
else if (sut == StatisticUnitType.standard)
{
return(((Dictionary <string, TimeLineStatistic <T> >)_stats[typeof(T)])[name].Statistic.Calculator.ConvertToStandardUnits(((Dictionary <string, TimeLineStatistic <T> >)_stats[typeof(T)])[name].GetValue(now), ((Dictionary <string, TimeLineStatistic <T> >)_stats[typeof(T)])[name].Statistic.MetricUnit, ((Dictionary <string, TimeLineStatistic <T> >)_stats[typeof(T)])[name].Statistic.StandardUnit));
}
else
{
throw new Exception("Unkown Statistic Unit Type");
}
}
public T GetValue(StatisticUnitType sut, DateTime t)
{
if (sut == StatisticUnitType.metric)
{
return(_time.GetValue(t));
}
else if (sut == StatisticUnitType.standard)
{
return(_stat.Calculator.ConvertToStandardUnits(_time.GetValue(t), _stat.MetricUnit, _stat.StandardUnit));
}
else
{
throw new Exception("Unspecified statistic unit type");
}
}
public object GetValue(Type type, string name, DateTime now, StatisticUnitType sut) //i just picked a type here for the statistic unit type, kinda ugly...
{
if (type == typeof(float))
{
if (sut == StatisticUnitType.metric)
{
return(GetValue <float>(name, now, StatisticUnitType.metric));
}
else if (sut == StatisticUnitType.standard)
{
return(GetValue <float>(name, now, StatisticUnitType.standard));
}
else
{
throw new Exception("Unkown Statistic Unit Type");
}
}
else if (type == typeof(int))
{
if (sut == StatisticUnitType.metric)
{
return(GetValue <int>(name, now, StatisticUnitType.metric));
}
else if (sut == StatisticUnitType.standard)
{
return(GetValue <int>(name, now, StatisticUnitType.standard));
}
else
{
throw new Exception("Unkown Statistic Unit Type");
}
}
else if (type == typeof(DateTime))
{
return(GetValue <DateTime>(name, now));
}
else if (type == typeof(TimeSpan))
{
return(GetValue <TimeSpan>(name, now));
}
else
{
throw new Exception("Unknown Column Type");
}
}
public StatisticUnit GetStatisticUnit(string name, StatisticUnitType unitType)
{
foreach (Type type in _statDirectory.Keys)
{
if (unitType == StatisticUnitType.metric)
{
if (type == typeof(int) && ((Dictionary <string, TimeLineStatistic <int> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <int> >)_stats[type])[name].Statistic.MetricUnit);
}
else if (type == typeof(float) && ((Dictionary <string, TimeLineStatistic <float> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <float> >)_stats[type])[name].Statistic.MetricUnit);
}
else if (type == typeof(DateTime) && ((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type])[name].Statistic.MetricUnit);
}
else if (type == typeof(TimeSpan) && ((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type])[name].Statistic.MetricUnit);
}
}
else if (unitType == StatisticUnitType.standard)
{
if (type == typeof(int) && ((Dictionary <string, TimeLineStatistic <int> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <int> >)_stats[type])[name].Statistic.StandardUnit);
}
else if (type == typeof(float) && ((Dictionary <string, TimeLineStatistic <float> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <float> >)_stats[type])[name].Statistic.StandardUnit);
}
else if (type == typeof(DateTime) && ((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type])[name].Statistic.StandardUnit);
}
else if (type == typeof(TimeSpan) && ((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type]).ContainsKey(name))
{
return(((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type])[name].Statistic.StandardUnit);
}
}
}
throw new Exception("Could not find specified statistic");
}
public double GetValue(string name, StatisticUnitType sut, DateTime dt)
{
foreach (Type type in _statDirectory.Keys)
{
if (type == typeof(int) && ((Dictionary <string, TimeLineStatistic <int> >)_stats[type]).ContainsKey(name))
{
return((double)((Dictionary <string, TimeLineStatistic <int> >)_stats[type])[name].GetValue(sut, dt));
}
else if (type == typeof(float) && ((Dictionary <string, TimeLineStatistic <float> >)_stats[type]).ContainsKey(name))
{
return((double)((Dictionary <string, TimeLineStatistic <float> >)_stats[type])[name].GetValue(sut, dt));
}
else if (type == typeof(DateTime) && ((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type]).ContainsKey(name))
{
return((double)((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[type])[name].GetValue(sut, dt).Ticks);
}
else if (type == typeof(TimeSpan) && ((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type]).ContainsKey(name))
{
return((double)((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[type])[name].GetValue(sut, dt).Ticks);
}
}
throw new Exception("Could not find specified statistic");
}
public SortedList <DateTime, double> GetStatisticTimeline(int boatIndex, int?legIndex, int?tackIndex, string statistic, StatisticUnitType unit)
{
if (tackIndex.HasValue)
{
int realTackIndex = 0;
while (_boats[boatIndex].Tacks[realTackIndex].LegIndex != legIndex.Value && _boats[boatIndex].Tacks[realTackIndex].IndexOnLeg != tackIndex.Value && realTackIndex < _boats[boatIndex].Tacks.Count)
{
realTackIndex++;
}
if (_boats[boatIndex].Tacks[realTackIndex].LegIndex == legIndex.Value && _boats[boatIndex].Tacks[realTackIndex].IndexOnLeg == tackIndex.Value && realTackIndex < _boats[boatIndex].Tacks.Count)
{
return(_boats[boatIndex].TackStatistics[realTackIndex].GetGraphableTimeline(statistic, unit));
}
else
{
throw new Exception("Could not find the specified statistic timeline");
}
}
else if (legIndex.HasValue)
{
return(_boats[boatIndex].LegStatistics[legIndex.Value].GetGraphableTimeline(statistic, unit));
}
else
{
return(_boats[boatIndex].TotalStatistics.GetGraphableTimeline(statistic, unit));
}
}
public DataSet GetFullStatistics(StatisticUnitType unittype)
{
//get
//{
DataSet ds = new DataSet("Statistics");
lock (_boats)
{
DataTable boats = new DataTable("Boats");
boats.Columns.Add(new DataColumn("id", typeof(int)));
boats.Columns.Add(new DataColumn("name", typeof(string)));
boats.Columns.Add(new DataColumn("number", typeof(string)));
boats.Columns.Add(new DataColumn("color", typeof(System.Drawing.Color)));
foreach (ReplayBoat b in _boats)
{
object[] row = new object[4];
row[0] = b.Id;
row[1] = b.Name;
row[2] = b.Number;
row[3] = b.Color;
boats.Rows.Add(row);
}
ds.Tables.Add(boats);
DataTable legs = new DataTable("Legs");
DataColumn dc = legs.Columns.Add("index", typeof(int));
legs.Columns.Add("description", typeof(string));
for (int i = 0; i <= _race.Course.Route.Count; i++)
{
string description = "";
if (i == 0)
{
description = "Pre-Start";
}
else if (i > 0 && i < _race.Course.Route.Count)
{
description = i + " " + _race.Course.Route[i - 1].Name + " to " + _race.Course.Route[i].Name;
}
else if (i == _race.Course.Route.Count)
{
description = "Post-Finish";
}
else
{
throw new Exception("Invalid Course Leg Reached");
}
object[] row = { i, description };
legs.Rows.Add(row);
}
object[] row2 = { DBNull.Value, "Overall" };
legs.Rows.Add(row2);
ds.Tables.Add(legs);
DataTable tacks = new DataTable("Tacks");
DataColumn boatId = tacks.Columns.Add("boat_id", typeof(int));
DataColumn legIndex = tacks.Columns.Add("leg_index", typeof(int));
DataColumn tackIndex = tacks.Columns.Add("tack_index", typeof(int));
DataColumn tackname = tacks.Columns.Add("name", typeof(string));
DataTable stats = new DataTable("Statistics");
stats.Columns.Add("boat_id", typeof(int));
DataColumn dc2 = stats.Columns.Add("leg_index", typeof(int));
dc2.AllowDBNull = true;
DataColumn dc3 = stats.Columns.Add("tack_index", typeof(int));
dc3.AllowDBNull = true;
DataTable statinfo = new DataTable("StatisticInfo");
statinfo.Columns.Add("name", typeof(string));
statinfo.Columns.Add("type", typeof(string));
statinfo.Columns.Add("unit", typeof(string));
statinfo.Columns.Add("description", typeof(string));
TimeLineStatisticCollection example = _boats[0].TotalStatistics;
foreach (Type statType in example.StatisticDirectory.Keys)
{
foreach (string name in example.StatisticDirectory[statType])
{
if (!stats.Columns.Contains(name))
{
stats.Columns.Add(name, statType /*example[name].GetValue(unittype, _simTime).GetType()*/);
object[] info = null;
if (unittype == StatisticUnitType.metric)
{
object[] t = { name, statType.ToString(), example.GetStatisticMetricUnit(statType, name).ToString(), "" };
info = t;
}
else if (unittype == StatisticUnitType.standard)
{
object[] t = { name, statType.ToString(), example.GetStatisticStandardUnit(statType, name).ToString(), "" };
info = t;
}
statinfo.Rows.Add(info);
}
}
}
ds.Tables.Add(statinfo);
foreach (ReplayBoat b in _boats)
{
DataRow dr = stats.NewRow();
dr["boat_id"] = b.Id;
dr["leg_index"] = System.DBNull.Value;
dr["tack_index"] = System.DBNull.Value;
TimeLineStatisticCollection fullstats = b.TotalStatistics;
foreach (Type t in fullstats.StatisticDirectory.Keys)
{
foreach (string s in fullstats.StatisticDirectory[t])
{
dr[s] = fullstats.GetValue(t, s, _simTime, unittype);
}
}
stats.Rows.Add(dr);
List <TimeLineStatisticCollection> legstats = b.LegStatistics;
for (int i = 0; i < legstats.Count && i <= b.GetCurrentLeg(_simTime); i++)
{
DataRow d = stats.NewRow();
d["boat_id"] = b.Id;
d["leg_index"] = i;
d["tack_index"] = DBNull.Value;
foreach (Type t in legstats[i].StatisticDirectory.Keys)
{
foreach (string s in legstats[i].StatisticDirectory[t])
{
d[s] = legstats[i].GetValue(t, s, _simTime, unittype);
}
}
stats.Rows.Add(d);
}
lock (b.Tacks)
{
for (int i = 0; i < b.Tacks.Count && i <= b.GetCurrentTack(_simTime); i++)
{
DataRow d = tacks.NewRow();
d["boat_id"] = b.Id;
d["leg_index"] = b.Tacks[i].LegIndex;
d["tack_index"] = b.Tacks[i].Index;
d["name"] = (b.Tacks[i].IndexOnLeg + 1) + " " + b.Tacks[i].Direction.ToString();
tacks.Rows.Add(d);
TimeLineStatisticCollection tackstats = b.TackStatistics[b.Tacks[i].Index];
DataRow td = stats.NewRow();
td["boat_id"] = b.Id;
td["leg_index"] = b.Tacks[i].LegIndex;
td["tack_index"] = b.Tacks[i].Index;
foreach (Type tt in tackstats.StatisticDirectory.Keys)
{
foreach (string s in tackstats.StatisticDirectory[tt])
{
td[s] = tackstats.GetValue(tt, s, _simTime, unittype);
}
}
stats.Rows.Add(td);
}
}
}
ds.Tables.Add(stats);
ds.Tables.Add(tacks);
}
return(ds);
//}
}
public SortedList <DateTime, double> GetGraphableTimeline(string name, StatisticUnitType sut)
{
SortedList <DateTime, double> line = new SortedList <DateTime, double>();
Type statType = null;
foreach (Type t in _statDirectory.Keys)
{
if (_statDirectory[t].Contains(name))
{
statType = t;
}
}
IList <DateTime> times;
if (statType != null)
{
if (statType == typeof(float))
{
times = ((Dictionary <string, TimeLineStatistic <float> >)_stats[statType])[name].Times;
foreach (DateTime dt in times)
{
line.Add(dt, (double)(((Dictionary <string, TimeLineStatistic <float> >)_stats[statType])[name].GetValue(sut, dt)));
}
}
else if (statType == typeof(int))
{
times = ((Dictionary <string, TimeLineStatistic <int> >)_stats[statType])[name].Times;
foreach (DateTime dt in times)
{
line.Add(dt, (double)(((Dictionary <string, TimeLineStatistic <int> >)_stats[statType])[name].GetValue(sut, dt)));
}
}
else if (statType == typeof(DateTime))
{
times = ((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[statType])[name].Times;
foreach (DateTime dt in times)
{
line.Add(dt, (double)(((Dictionary <string, TimeLineStatistic <DateTime> >)_stats[statType])[name].GetValue(sut, dt).Ticks));
}
}
else if (statType == typeof(TimeSpan))
{
times = ((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[statType])[name].Times;
foreach (DateTime dt in times)
{
line.Add(dt, (double)(((Dictionary <string, TimeLineStatistic <TimeSpan> >)_stats[statType])[name].GetValue(sut, dt).Ticks));
}
}
else
{
throw new Exception("Unknown Column Type");
}
}
else
{
throw new Exception("Could not find statistic with specified name");
}
return(line);
}
public SortedList<DateTime,double> GetStatisticTimeline(int boatIndex,int? legIndex,int? tackIndex,string statistic,StatisticUnitType unit)
{
if (tackIndex.HasValue)
{
int realTackIndex = 0;
while (_boats[boatIndex].Tacks[realTackIndex].LegIndex != legIndex.Value && _boats[boatIndex].Tacks[realTackIndex].IndexOnLeg != tackIndex.Value && realTackIndex < _boats[boatIndex].Tacks.Count)
{
realTackIndex++;
}
if (_boats[boatIndex].Tacks[realTackIndex].LegIndex == legIndex.Value && _boats[boatIndex].Tacks[realTackIndex].IndexOnLeg == tackIndex.Value && realTackIndex < _boats[boatIndex].Tacks.Count)
{
return _boats[boatIndex].TackStatistics[realTackIndex].GetGraphableTimeline(statistic, unit);
}
else
{
throw new Exception("Could not find the specified statistic timeline");
}
}
else if (legIndex.HasValue)
{
return _boats[boatIndex].LegStatistics[legIndex.Value].GetGraphableTimeline(statistic, unit);
}
else
{
return _boats[boatIndex].TotalStatistics.GetGraphableTimeline(statistic, unit);
}
}
public DataSet GetFullStatistics(StatisticUnitType unittype)
{
//get
//{
DataSet ds = new DataSet("Statistics");
lock (_boats)
{
DataTable boats = new DataTable("Boats");
boats.Columns.Add(new DataColumn("id", typeof(int)));
boats.Columns.Add(new DataColumn("name", typeof(string)));
boats.Columns.Add(new DataColumn("number", typeof(string)));
boats.Columns.Add(new DataColumn("color", typeof(System.Drawing.Color)));
foreach (ReplayBoat b in _boats)
{
object[] row = new object[4];
row[0] = b.Id;
row[1] = b.Name;
row[2] = b.Number;
row[3] = b.Color;
boats.Rows.Add(row);
}
ds.Tables.Add(boats);
DataTable legs = new DataTable("Legs");
DataColumn dc = legs.Columns.Add("index", typeof(int));
legs.Columns.Add("description", typeof(string));
for (int i = 0; i <= _race.Course.Route.Count; i++)
{
string description = "";
if (i == 0)
{
description = "Pre-Start";
}
else if (i > 0 && i < _race.Course.Route.Count)
{
description = i + " " + _race.Course.Route[i - 1].Name + " to " + _race.Course.Route[i].Name;
}
else if (i == _race.Course.Route.Count)
{
description = "Post-Finish";
}
else
{
throw new Exception("Invalid Course Leg Reached");
}
object[] row = { i, description };
legs.Rows.Add(row);
}
object[] row2 = { DBNull.Value, "Overall" };
legs.Rows.Add(row2);
ds.Tables.Add(legs);
DataTable tacks = new DataTable("Tacks");
DataColumn boatId = tacks.Columns.Add("boat_id", typeof(int));
DataColumn legIndex = tacks.Columns.Add("leg_index", typeof(int));
DataColumn tackIndex = tacks.Columns.Add("tack_index", typeof(int));
DataColumn tackname = tacks.Columns.Add("name", typeof(string));
DataTable stats = new DataTable("Statistics");
stats.Columns.Add("boat_id", typeof(int));
DataColumn dc2 = stats.Columns.Add("leg_index", typeof(int));
dc2.AllowDBNull = true;
DataColumn dc3 = stats.Columns.Add("tack_index", typeof(int));
dc3.AllowDBNull = true;
DataTable statinfo = new DataTable("StatisticInfo");
statinfo.Columns.Add("name", typeof(string));
statinfo.Columns.Add("type", typeof(string));
statinfo.Columns.Add("unit", typeof(string));
statinfo.Columns.Add("description", typeof(string));
TimeLineStatisticCollection example = _boats[0].TotalStatistics;
foreach (Type statType in example.StatisticDirectory.Keys)
{
foreach (string name in example.StatisticDirectory[statType])
{
if (!stats.Columns.Contains(name))
{
stats.Columns.Add(name, statType/*example[name].GetValue(unittype, _simTime).GetType()*/);
object[] info = null;
if (unittype == StatisticUnitType.metric)
{
object[] t = { name, statType.ToString(), example.GetStatisticMetricUnit(statType,name).ToString(), "" };
info = t;
}
else if (unittype == StatisticUnitType.standard)
{
object[] t = { name, statType.ToString(), example.GetStatisticStandardUnit(statType, name).ToString(), "" };
info = t;
}
statinfo.Rows.Add(info);
}
}
}
ds.Tables.Add(statinfo);
foreach (ReplayBoat b in _boats)
{
DataRow dr = stats.NewRow();
dr["boat_id"] = b.Id;
dr["leg_index"] = System.DBNull.Value;
dr["tack_index"] = System.DBNull.Value;
TimeLineStatisticCollection fullstats = b.TotalStatistics;
foreach (Type t in fullstats.StatisticDirectory.Keys)
{
foreach (string s in fullstats.StatisticDirectory[t])
{
dr[s] = fullstats.GetValue(t, s, _simTime, unittype);
}
}
stats.Rows.Add(dr);
List<TimeLineStatisticCollection> legstats = b.LegStatistics;
for (int i = 0; i < legstats.Count && i<=b.GetCurrentLeg(_simTime); i++)
{
DataRow d = stats.NewRow();
d["boat_id"] = b.Id;
d["leg_index"] = i;
d["tack_index"] = DBNull.Value;
foreach (Type t in legstats[i].StatisticDirectory.Keys)
{
foreach (string s in legstats[i].StatisticDirectory[t])
{
d[s] = legstats[i].GetValue(t, s, _simTime, unittype);
}
}
stats.Rows.Add(d);
}
lock (b.Tacks)
{
for(int i=0;i<b.Tacks.Count && i<=b.GetCurrentTack(_simTime);i++)
{
DataRow d = tacks.NewRow();
d["boat_id"] = b.Id;
d["leg_index"] = b.Tacks[i].LegIndex;
d["tack_index"] = b.Tacks[i].Index;
d["name"] = (b.Tacks[i].IndexOnLeg + 1) + " " + b.Tacks[i].Direction.ToString();
tacks.Rows.Add(d);
TimeLineStatisticCollection tackstats = b.TackStatistics[b.Tacks[i].Index];
DataRow td = stats.NewRow();
td["boat_id"] = b.Id;
td["leg_index"] = b.Tacks[i].LegIndex;
td["tack_index"] = b.Tacks[i].Index;
foreach (Type tt in tackstats.StatisticDirectory.Keys)
{
foreach (string s in tackstats.StatisticDirectory[tt])
{
td[s] = tackstats.GetValue(tt, s, _simTime, unittype);
}
}
stats.Rows.Add(td);
}
}
}
ds.Tables.Add(stats);
ds.Tables.Add(tacks);
}
return ds;
//}
}
