Added stats + calculation

app/src/main/java/net/pokeranalytics/android/calculus/Calculator.kt

@@ -1,5 +1,6 @@
 package net.pokeranalytics.android.calculus
 
+import net.pokeranalytics.android.calculus.Stat.*
 import net.pokeranalytics.android.model.realm.TimeFrameGroup
 
 
@@ -25,6 +26,15 @@ class Calculator {
         var evolutionValues: EvolutionValues = EvolutionValues.NONE
         var displayedStats: List<Stat> = listOf()
 
+        fun shouldComputeStandardDeviation() : Boolean {
+            this.displayedStats.forEach { stat ->
+                when (stat) {
+                    STANDARD_DEVIATION, STANDARD_DEVIATION_HOURLY, STANDARD_DEVIATION_BB_PER_100_HANDS -> return true
+                }
+            }
+            return false
+        }
+
 //        var aggregation: Aggregation? = null
     }
 
@@ -62,43 +72,113 @@ class Calculator {
         fun compute(group: SessionGroup, options: Options) : ComputedResults {
 
             val sessions: List<SessionInterface> = group.sessionGroup
-            val series: Set<TimeFrameGroup> = setOf() // @todo get unique list of serie
+            val sessionGroups: Set<TimeFrameGroup> = setOf() // @todo get unique list of serie
             var results: ComputedResults = ComputedResults()
 
             var sum: Double = 0.0
-            var duration: Double = 0.0
+            var totalHands: Double = 0.0
+            var bbSum: Double = 0.0
+            var bbSessionCount: Int = 0
+            var winningSessionCount: Int = 0
+            var totalBuyin: Double = 0.0
+
             // @todo add all stats
 
             // Compute for each session
-            sessions.forEach { item ->
+            var index: Int = 0
-                sum += item.value
+            sessions.forEach { s ->
-
+                index++;
-                when (options.evolutionValues) {
+
-                    Options.EvolutionValues.STANDARD -> {
+                bbSessionCount += s.bigBlindSessionCount
-                        results.addEvolutionValue(sum, Stat.NETRESULT)
+                if (s.value >= 0) {
-                    }
+                    winningSessionCount++
-                    Options.EvolutionValues.DATED -> {
+                }
-                        results.addEvolutionValue(sum, duration, Stat.NETRESULT)
+                totalBuyin += s.buyin
-                    }
+
+                if (options.evolutionValues != Options.EvolutionValues.NONE) {
+
+                    sum += s.value
+                    totalHands += s.estimatedHands
+                    bbSum += s.bbNetResult
+
+                    results.addEvolutionValue(sum / index, AVERAGE)
+                    results.addEvolutionValue(index.toDouble(), NUMBER_OF_GAMES)
+                    results.addEvolutionValue(bbSum / bbSessionCount, AVERAGE_NET_BB)
+                    results.addEvolutionValue((winningSessionCount / index).toDouble(), WIN_RATIO)
+                    results.addEvolutionValue(totalBuyin / index, AVERAGE_BUYIN)
+                    results.addEvolutionValue(Stat.returnOnInvestment(sum, totalBuyin), ROI)
                 }
 
             }
 
             // Compute for each serie
-            series.forEach { serie ->
+            var duration: Double = 0.0
-                duration += serie.duration
+            var hourlyRate: Double = 0.0; var hourlyRateBB: Double = 0.0
+
+            index = 0; sum = 0.0; totalHands = 0.0; bbSum = 0.0;
+            sessionGroups.forEach { group ->
+                index++
+                duration += group.duration
+                sum += group.netResult
+                totalHands += group.estimatedHands
+                bbSum += group.bbNetResult
+
+                hourlyRate = sum / duration * 3600.0
+                hourlyRateBB = bbSum / duration * 3600.0
 
                 if (options.evolutionValues != Options.EvolutionValues.NONE) {
-                    results.addEvolutionValue(duration, Stat.DURATION)
+                    results.addEvolutionValue(sum, duration, NETRESULT)
+                    results.addEvolutionValue(sum / duration * 3600.0, duration, HOURLY_RATE)
+                    results.addEvolutionValue(Stat.netBBPer100Hands(bbSum, totalHands), duration, NET_BB_PER_100_HANDS)
+                    results.addEvolutionValue(hourlyRate, duration, HOURLY_RATE)
+                    results.addEvolutionValue(index.toDouble(), duration, NUMBER_OF_GROUPS)
+                    results.addEvolutionValue(group.duration, duration, DURATION)
+                    results.addEvolutionValue(duration / index, duration, AVERAGE_DURATION)
+                    results.addEvolutionValue(hourlyRateBB, duration, HOURLY_RATE_BB)
                 }
             }
 
+            val average: Double = sum / sessions.size
+
             // Create stats
             results.addStats(setOf(
-                ComputedStat(Stat.NETRESULT, sum),
+                ComputedStat(NETRESULT, sum),
-                ComputedStat(Stat.AVERAGE,sum / sessions.size),
+                ComputedStat(HOURLY_RATE, hourlyRate),
-                ComputedStat(Stat.DURATION, duration)
+                ComputedStat(AVERAGE, average),
-            ))
+                ComputedStat(DURATION, duration),
+                ComputedStat(NUMBER_OF_GROUPS, sessionGroups.size.toDouble()),
+                ComputedStat(NUMBER_OF_GAMES, sessions.size.toDouble()),
+                ComputedStat(AVERAGE_DURATION, (duration / 3600.0) / sessions.size),
+                ComputedStat(NET_BB_PER_100_HANDS, Stat.netBBPer100Hands(bbSum, totalHands)),
+                ComputedStat(HOURLY_RATE_BB, bbSum / duration * 3600.0),
+                ComputedStat(AVERAGE_NET_BB, bbSum / bbSessionCount),
+                ComputedStat(WIN_RATIO, (winningSessionCount / sessions.size).toDouble()),
+                ComputedStat(AVERAGE_BUYIN, totalBuyin / sessions.size),
+                ComputedStat(ROI, Stat.returnOnInvestment(sum, totalBuyin))
+
+                ))
+
+
+            // Standard Deviation
+            if (options.shouldComputeStandardDeviation()) {
+
+                var stdSum: Double = 0.0
+                sessions.forEach { s ->
+                    stdSum += Math.pow(s.value - average, 2.0)
+                }
+                val standardDeviation: Double = Math.sqrt(stdSum / sessions.size)
+
+                var hourlyStdSum: Double = 0.0
+                sessionGroups.forEach { sg ->
+                    hourlyStdSum += Math.pow(sg.hourlyRate - hourlyRate, 2.0)
+                }
+                val hourlyStandardDeviation: Double = Math.sqrt(hourlyStdSum / sessionGroups.size)
+
+                results.addStats(setOf(
+                    ComputedStat(STANDARD_DEVIATION, standardDeviation),
+                    ComputedStat(Stat.STANDARD_DEVIATION_HOURLY, hourlyStandardDeviation)
+                ))
+            }
 
             return results
         }

app/src/main/java/net/pokeranalytics/android/calculus/Computable.kt

@@ -10,6 +10,10 @@ interface Summable {
 // An interface describing some class that can be computed
 interface SessionInterface : Summable {
     var serie: TimeFrameGroup
+    var estimatedHands: Double
+    var bbNetResult: Double
+    var bigBlindSessionCount: Int // 0 or 1
+    var buyin: Double
 }
 
 /**

app/src/main/java/net/pokeranalytics/android/calculus/Stat.kt

@@ -7,25 +7,48 @@ interface AnyStat {
 enum class Stat : AnyStat {
 
     NETRESULT,
-    HOURLYRATE,
+    HOURLY_RATE,
-    DURATION,
     AVERAGE,
-    STANDARDDEVIATION,
+    NUMBER_OF_GROUPS,
-    HOURLYSTANDARDDEVIATION;
+    NUMBER_OF_GAMES,
+    DURATION,
+    AVERAGE_DURATION,
+    NET_BB_PER_100_HANDS,
+    HOURLY_RATE_BB,
+    AVERAGE_NET_BB,
+    WIN_RATIO,
+    AVERAGE_BUYIN,
+    ROI,
+    STANDARD_DEVIATION,
+    STANDARD_DEVIATION_HOURLY,
+    STANDARD_DEVIATION_BB_PER_100_HANDS;
 
     fun label() : String = when (this) {
         NETRESULT -> ""
-        HOURLYRATE -> ""
+        HOURLY_RATE -> ""
         else -> throw IllegalArgumentException("Label not defined")
     }
 
     fun hasDistributionSorting() : Boolean {
         when (this) {
-            STANDARDDEVIATION, HOURLYSTANDARDDEVIATION -> return true
+            STANDARD_DEVIATION, STANDARD_DEVIATION_HOURLY, STANDARD_DEVIATION_BB_PER_100_HANDS -> return true
             else -> return false
         }
     }
 
+    companion object {
+
+        fun returnOnInvestment(netResult: Double, buyin: Double) : Double {
+            return netResult / buyin
+        }
+
+        fun netBBPer100Hands(netBB: Double, numberOfHands: Double) : Double {
+            return netBB / numberOfHands * 100
+        }
+
+    }
+
+
 }
 
 enum class CashSessionStat : AnyStat {

app/src/main/java/net/pokeranalytics/android/model/realm/Result.kt

@@ -36,7 +36,7 @@ open class Result : RealmObject() {
         }
 
     // The net (readonly)
-    var net: Double? = null
+    var net: Double = 0.0
 
     // The transactions associated with the Result, impacting the result
     var transactions: RealmList<Transaction> = RealmList()

app/src/main/java/net/pokeranalytics/android/model/realm/Session.kt

@@ -1,18 +1,13 @@
 package net.pokeranalytics.android.model.realm
 
-import io.realm.RealmList
+import io.realm.*
-import io.realm.Realm
+import io.realm.annotations.Ignore
-import io.realm.RealmObject
-import io.realm.RealmResults
-import io.realm.Sort
 import io.realm.annotations.PrimaryKey
-import net.pokeranalytics.android.*
 import net.pokeranalytics.android.ui.adapter.components.DynamicRowDelegate
 import net.pokeranalytics.android.ui.adapter.components.DynamicRowInterface
 import net.pokeranalytics.android.ui.adapter.components.SessionRow
 import net.pokeranalytics.android.util.data.sessionDao
 import java.util.*
-import java.util.UUID.randomUUID
 import kotlin.collections.ArrayList
 
 
@@ -21,6 +16,9 @@ open class Session(comment: String = "") : RealmObject(), DynamicRowDelegate {
     @PrimaryKey
     var id = UUID.randomUUID().toString()
 
+    // The result of the main user
+    var result: Result? = null
+
     // The time frame of the Session, i.e. the start & end date
     var timeFrame: TimeFrame? = null
 
@@ -30,30 +28,27 @@ open class Session(comment: String = "") : RealmObject(), DynamicRowDelegate {
     // the date of creation of the app
     var creationDate: Date = Date()
 
+    // The bankroll hosting the results
+    var bankroll: Bankroll? = null
+
     // The limit type: NL, PL...
     var limit: Int? = null
 
-    // The number of tables played at the same time
+    // The game played during the Session
-    var numberOfTables: Int = 1
+    var game: Game? = null
 
     // The number of players at the table
     var tableSize: Int? = null
 
-    // The game played during the Session
+    // the location where the session is played
-    var game: Game? = null
+    var location: Location? = null
 
-    // The bankroll hosting the results
+    // The number of tables played at the same time
-    var bankroll: Bankroll? = null
+    var numberOfTables: Int = 1
 
     // The hands list associated with the Session
     var hands: RealmList<HandHistory> = RealmList()
 
-    // the location where the session is played
-    var location: Location? = null
-
-    // The result of the main user
-    var result: Result? = null
-
     // The list of opponents who participated to the session
     var opponents: RealmList<Player> = RealmList()
 
@@ -85,6 +80,46 @@ open class Session(comment: String = "") : RealmObject(), DynamicRowDelegate {
     // The features of the tournament, like Knockout, Shootout, Turbo...
     var tournamentFeatures: RealmList<TournamentFeature> = RealmList()
 
+    companion object {
+
+        fun newInstance() : Session {
+            var session: Session = Session()
+            session.result = Result()
+            session.timeFrame = TimeFrame()
+            return session
+        }
+
+    }
+
+    @Ignore
+    var estimatedHands: Double = 0.0
+
+    @Ignore
+    var bbNetResult: Double = 0.0
+        get() {
+            this.cgBigBlind?.let { bb ->
+                this.result?.let { result ->
+                    return result.net / bb
+                }
+            }
+            return 0.0
+        }
+
+    @Ignore
+    var bigBlindSessionCount: Int = if (this.cgBigBlind != null) 1 else 0
+//        get() = if (this.cgBigBlind != null) 1 else 0
+
+    @Ignore
+    var buyin: Double = 0.0
+        get() {
+            this.result?.let {
+                it.buyin?.let {
+                    return it
+                }
+            }
+            return 0.0
+        }
+
 
     override fun adapterRows(): ArrayList<DynamicRowInterface> {
         val rows = ArrayList<DynamicRowInterface>()

app/src/main/java/net/pokeranalytics/android/model/realm/TimeFrame.kt

@@ -1,24 +1,79 @@
 package net.pokeranalytics.android.model.realm
 
 import io.realm.RealmObject
-import io.realm.annotations.PrimaryKey
+import io.realm.RealmResults
+import io.realm.annotations.LinkingObjects
 import java.util.*
 
+
+
 open class TimeFrame : RealmObject() {
 
     // A start date
     var startDate: Date = Date()
+        set(value) {
+            field = value
+            this.computeDuration()
+            if (this.session != null) {
+                this.notifyDateChange()
+            }
+        }
 
     // An end date
     var endDate: Date? = null
+        set(value) {
+            field = value
+            this.computeDuration()
+            if (this.session != null) {
+                this.notifyDateChange()
+            }
+        }
 
     // The break duration
-    var breakDuration: Double = 0.0
+    var breakDuration: Long = 0L
+        set(value) {
+            field = value
+            this.computeDuration()
+        }
 
     // the total duration
-    var duration: Double = 0.0
+    var duration: Long = 0L
+        private set
 
     // indicates a state of pause
     var paused: Boolean = false
 
+    @LinkingObjects("timeFrame")
+    private val session: RealmResults<Session>? = null
+
+    @LinkingObjects("timeFrame")
+    private val group: RealmResults<TimeFrameGroup>? = null
+
+    private fun computeDuration() {
+
+        var endDate: Date
+        if (this.endDate != null) {
+            endDate = this.endDate!!
+        } else {
+            endDate = Date()
+        }
+        this.duration = endDate.time - startDate.time - this.breakDuration
+    }
+
+    private fun notifyDateChange() {
+//        val realm = Realm.getDefaultInstance()
+//
+//        var query: RealmQuery<TimeFrame> = realm.where(TimeFrame::class.java)
+//        query.greaterThan("startDate", this.startDate.time)
+//
+//        this.endDate?.let { endDate ->
+//            query.or()
+//                .greaterThan("startDate", endDate.time)
+//                .lessThan("endDate", endDate.time)
+//        }
+//
+//
+//        realm.close()
+    }
+
 }

app/src/main/java/net/pokeranalytics/android/model/realm/TimeFrameGroup.kt

@@ -3,8 +3,6 @@ package net.pokeranalytics.android.model.realm
 import io.realm.RealmList
 import io.realm.RealmObject
 import io.realm.annotations.Ignore
-import io.realm.annotations.PrimaryKey
-import java.util.*
 
 
 open class TimeFrameGroup() : RealmObject() {
@@ -13,10 +11,21 @@ open class TimeFrameGroup() : RealmObject() {
     var timeFrame: TimeFrame? = null
 
     // The list of Session played within the group, i.e. played within the same time frame
-    var timeFrames: RealmList<Session> = RealmList()
+    var sessions: RealmList<Session> = RealmList()
 
     @Ignore // a duration shortcut
     var duration: Double = 0.0
 
+    @Ignore // a netResult shortcut
+    var netResult: Double = 0.0
+
+    @Ignore // a duration shortcut
+    var hourlyRate: Double = 0.0
+
+    @Ignore
+    var estimatedHands: Double = 0.0
+
+    @Ignore
+    var bbNetResult: Double = 0.0
 }
 

app/src/test/java/net/pokeranalytics/android/ExampleUnitTest.kt

@@ -1,17 +1,52 @@
 package net.pokeranalytics.android
 
+import net.pokeranalytics.android.calculus.*
+import net.pokeranalytics.android.model.realm.TimeFrameGroup
+import org.junit.Assert.fail
 import org.junit.Test
 
-import org.junit.Assert.*
-
 /**
  * Example local unit test, which will execute on the development machine (host).
  *
  * See [testing documentation](http://d.android.com/tools/testing).
  */
+
 class ExampleUnitTest {
+
+    class Grade(someValue: Double) : SessionInterface {
+//        override var serie: Serie = Serie(TimeFrame())
+        override var value: Double = someValue
+
+        override var serie: TimeFrameGroup = TimeFrameGroup()
+        override var estimatedHands: Double = 0.0
+        override var bbNetResult: Double = 0.0
+        override var bigBlindSessionCount: Int = 0 // 0 or 1
+        override var buyin: Double = 0.0
+
+    }
+
     @Test
-    fun addition_isCorrect() {
+    fun testStats() {
-        assertEquals(4, 2 + 2)
+
+        val grades: List<Grade> = listOf(Grade(someValue = 10.0), Grade(someValue = 20.0))
+        val group = SessionGroup(name = "test", sessions = grades)
+
+        val results: ComputedResults = Calculator.compute(group, Calculator.Options())
+
+        val sum = results.computedStat(Stat.NETRESULT)
+        if (sum != null) {
+            assert(sum.value == 30.0)
+        } else {
+            fail("No Net result stat")
+        }
+
+        val average = results.computedStat(Stat.AVERAGE)
+        if (average != null) {
+            assert(average.value == 15.0)
+        } else {
+            fail("No AVERAGE stat")
+        }
+
     }
+
 }