more user nb games denormalization, fix filters and improve win chart

app/user/GameFilter.scala

@@ -44,9 +44,9 @@ object GameFilterMenu extends NonEmptyLists {
     val all = nel(All, List(
       info.nbWithMe.fold(_ > 0, false) option Me,
       (info.nbRated > 0) option Rated,
-      (info.nbWin > 0) option Win,
-      (info.nbLoss > 0) option Loss,
-      (info.nbDraw > 0) option Draw,
+      (info.user.nbWins > 0) option Win,
+      (info.user.nbLosses > 0) option Loss,
+      (info.user.nbDraws > 0) option Draw,
       (info.nbPlaying > 0) option Playing,
       (info.nbBookmark > 0) option Bookmark
     ).flatten)
@@ -67,9 +67,9 @@ object GameFilterMenu extends NonEmptyLists {
     val cachedNb: Option[Int] = current match {
       case All   ⇒ info.user.nbGames.some
       case Rated ⇒ info.nbRated.some
-      case Win   ⇒ info.nbWin.some
-      case Loss  ⇒ info.nbLoss.some
-      case Draw  ⇒ info.nbDraw.some
+      case Win   ⇒ info.user.nbWins.some
+      case Loss  ⇒ info.user.nbLosses.some
+      case Draw  ⇒ info.user.nbDraws.some
       case _     ⇒ None
     }
 

app/user/User.scala

@@ -14,6 +14,10 @@ case class User(
     nbWins: Int,
     nbLosses: Int,
     nbDraws: Int,
+    nbWinsH: Int, // only against human opponents
+    nbLossesH: Int, // only against human opponents
+    nbDrawsH: Int, // only against human opponents
+    nbAi: Int,
     isChatBan: Boolean = false,
     enabled: Boolean,
     roles: List[String],

app/user/UserInfo.scala

@@ -12,9 +12,6 @@ import scalaz.effects._
 case class UserInfo(
     user: User,
     rank: Option[(Int, Int)],
-    nbWin: Int,
-    nbDraw: Int,
-    nbLoss: Int,
     nbPlaying: Int,
     nbWithMe: Option[Int],
     nbBookmark: Int,
@@ -47,9 +44,6 @@ object UserInfo {
         Some(rank -> countUsers())
       },
       io(None))
-    nbWin = user.nbWins
-    nbLoss = user.nbLosses
-    nbDraw = user.nbDraws
     nbPlaying ← (ctx is user).fold(
       gameRepo count (_ notFinished user) map (_.some),
       io(none)
@@ -61,7 +55,7 @@ object UserInfo {
     nbBookmark = bookmarkApi countByUser user
     eloChart ← eloChartBuilder(user)
     winChart = (user.nbRatedGames > 0) option {
-      new WinChart(nbWin, nbDraw, nbLoss)
+      new WinChart(user.nbWinsH, user.nbDrawsH, user.nbLossesH, user.nbAi)
     }
     eloWithMe = ctx.me.filter(user!=) map { me ⇒
       List(
@@ -73,9 +67,6 @@ object UserInfo {
   } yield new UserInfo(
     user = user,
     rank = rank,
-    nbWin = nbWin,
-    nbDraw = nbDraw,
-    nbLoss = nbLoss,
     nbPlaying = nbPlaying | 0,
     nbWithMe = nbWithMe,
     nbBookmark = nbBookmark,

app/user/WinChart.scala

@@ -8,7 +8,7 @@ import scalaz.effects._
 import com.codahale.jerkson.Json
 import i18n.I18nKeys
 
-final class WinChart(nbWin: Int, nbDraw: Int, nbLoss: Int) {
+final class WinChart(nbWin: Int, nbDraw: Int, nbLoss: Int, nbAi: Int) {
 
   val columns = Json generate List(
     "string" :: "Result" :: Nil,
@@ -18,6 +18,7 @@ final class WinChart(nbWin: Int, nbDraw: Int, nbLoss: Int) {
     List(
       List(trans.nbWins.str(nbWin), nbWin),
       List(trans.nbLosses.str(nbLoss), nbLoss),
-      List(trans.nbDraws.str(nbDraw), nbDraw))
+      List(trans.nbDraws.str(nbDraw), nbDraw),
+      List("AI", nbAi))
   }
 }

app/views/user/filterTitle.scala.html

@@ -11,13 +11,13 @@ case lila.user.GameFilter.Rated => {
 @info.nbRated @trans.rated()
 }
 case lila.user.GameFilter.Win => {
-@trans.nbWins(info.nbWin)
+@trans.nbWins(info.user.nbWins)
 }
 case lila.user.GameFilter.Loss => {
-@trans.nbLosses(info.nbLoss)
+@trans.nbLosses(info.user.nbLosses)
 }
 case lila.user.GameFilter.Draw => {
-@trans.nbDraws(info.nbDraw)
+@trans.nbDraws(info.user.nbDraws)
 }
 case lila.user.GameFilter.Playing => {
 @info.nbPlaying playing

bin/prod/userstats.js

@@ -1,9 +1,13 @@
 db.user2.find({}).forEach(function(user) {
   var uid = user['_id'];
   var data = {
-    nbWins: db.game2.count({"winId": uid, "players.aiLevel":{$exists:false}}),
-    nbLosses: db.game2.count({"userIds": uid, "status": { "$in": [ 30, 31, 35, 33 ] }, "winId": {"$ne": uid}, "players.aiLevel":{$exists:false}}),
-    nbDraws: db.game2.count({"userIds": uid, "status": { "$in": [34, 32] }, "players.aiLevel":{$exists:false}})
+    nbWins: db.game2.count({"winId": uid}),
+    nbLosses: db.game2.count({"userIds": uid, "status": { "$in": [ 30, 31, 35, 33 ] }, "winId": {"$ne": uid}}),
+    nbDraws: db.game2.count({"userIds": uid, "status": { "$in": [34, 32] }}),
+    nbWinsH: db.game2.count({"winId": uid, "players.aiLevel":{$exists:false}}),
+    nbLossesH: db.game2.count({"userIds": uid, "status": { "$in": [ 30, 31, 35, 33 ] }, "winId": {"$ne": uid}, "players.aiLevel":{$exists:false}}),
+    nbDrawsH: db.game2.count({"userIds": uid, "status": { "$in": [34, 32] }, "players.aiLevel":{$exists:false}}),
+    nbAi: db.game2.count({"userIds": uid, "players.aiLevel":{$exists:true}})
   };
   db.user2.update({"_id": uid}, {"$set":data});
 });

todo

@@ -43,4 +43,4 @@ count ai games in nb wins/losses http://en.lichess.org/@/ivym http://en.lichess.
 index game positions
 integrate with google+
 elo stats
-feedback changes to do http://en.lichess.org/forum/lichess-feedback/new-feature-landing-advanced-search#3
+player search autocomplete regex escapement