public PlayerState(String player_name)
{
this.player_name = player_name;
signal = new ManualResetEvent(false);
state_lock = new object();
pt = new PerformanceTest(player_name);
sensorId_sensorData = new Dictionary <int, SensorData>();
foreach (var sensor_id in MetaData.PLAYER_MAP[player_name])
{
sensorId_sensorData.Add(sensor_id, QueryHelpers.getDefaultSensorDataWithSensorID(sensor_id));
}
currentRunningState = new CurrentRunningState(-1, -1, -1);
aggRunning_full = new AggregateRunningData();
aggRunning_1min = new TimeWindow <CurrentRunningData, AggregateRunningData>
(60 * MetaData.SECOND_TO_PICO, "ts_start", new AggregateRunningData(), QueryHelpers.updateAggregateRunningData);
aggRunning_5min = new TimeWindow <CurrentRunningData, AggregateRunningData>
(5 * 60 * MetaData.SECOND_TO_PICO, "ts_start", new AggregateRunningData(), QueryHelpers.updateAggregateRunningData);
aggRunning_20min = new TimeWindow <CurrentRunningData, AggregateRunningData>
(20 * 60 * MetaData.SECOND_TO_PICO, "ts_start", new AggregateRunningData(), QueryHelpers.updateAggregateRunningData);
heatmap_full = new HeatmapState(player_name);
heatmap_1min = new HeatmapState(player_name, 1 * 60);
heatmap_5min = new HeatmapState(player_name, 5 * 60);
heatmap_10min = new HeatmapState(player_name, 10 * 60);
}
public static AggregateRunningData updateAggregateRunningData
(AggregateRunningData seed, CurrentRunningData curValue,
IList <CurrentRunningData> expiredList, long count)
{
double standing_time = seed.standing_time,
standing_dist = seed.standing_distance,
trot_time = seed.trot_time,
trot_dist = seed.trot_distance,
low_time = seed.low_time,
low_dist = seed.low_distance,
medium_time = seed.medium_time,
medium_dist = seed.medium_distance,
high_time = seed.high_time,
high_dist = seed.high_distance,
sprint_time = seed.sprint_time,
sprint_dist = seed.sprint_distance;
//for each expired element, remove its values from previous seed's values
foreach (var element in expiredList)
{
subtractCurrentRunningData(element, ref standing_time, ref standing_dist,
ref trot_time, ref trot_dist, ref low_time, ref low_dist, ref medium_time,
ref medium_dist, ref high_time, ref high_dist, ref sprint_time, ref sprint_dist);
}
//add current values to previous seed values
addCurrentRunningData(curValue, ref standing_time, ref standing_dist,
ref trot_time, ref trot_dist, ref low_time, ref low_dist, ref medium_time,
ref medium_dist, ref high_time, ref high_dist, ref sprint_time, ref sprint_dist);
return(new AggregateRunningData
{
player_id = curValue.player_id,
ts = curValue.ts_stop,
standing_time = standing_time,
standing_distance = standing_dist,
trot_time = trot_time,
trot_distance = trot_dist,
low_time = low_time,
low_distance = low_dist,
medium_time = medium_time,
medium_distance = medium_dist,
high_time = high_time,
high_distance = high_dist,
sprint_time = sprint_time,
sprint_distance = sprint_dist
});
}
public void query1(PlayerData player)
{
incrementInputCount();
CurrentRunningData currentRunning = QueryHelpers.updateCurrentRunningData(currentRunningState, player);
if (currentRunning != null)
{
aggRunning_full = QueryHelpers.updateAggregateRunningData(aggRunning_full, currentRunning, new List <CurrentRunningData> {
}, 0);
pt.OutputCount++;
aggRunning_1min.getUpdate(currentRunning);
pt.OutputCount++;
aggRunning_5min.getUpdate(currentRunning);
pt.OutputCount++;
aggRunning_20min.getUpdate(currentRunning);
pt.OutputCount++;
}
}
