From e86cc61995d59730a2fe3f04415b25b35ec207c5 Mon Sep 17 00:00:00 2001
From: emkael <emkael@tlen.pl>
Date: Tue, 28 Oct 2014 16:55:10 +0100
Subject:  * configurable importance factor thresholds + tweaks to default
 settings

---
 config/elo.json | 17 +++++++++--------
 f1elo/elo.py    |  4 ++--
 2 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/config/elo.json b/config/elo.json
index e50822b..f47aefd 100644
--- a/config/elo.json
+++ b/config/elo.json
@@ -1,10 +1,11 @@
 {
-	"initial_ranking": 1450.0,
-	"disparity": 400,
-	"importance": {
-		      "NC_Q": 1.6,
-		      "NC_R": 16,
-		      "C_Q": 3.2,
-	              "C_R": 32
-	}
+	 "initial_ranking": 1600.0,
+	 "disparity": 300,
+	 "importance": {
+		  "NC_Q": 1.6,
+		  "NC_R": 16,
+		  "C_Q": 3.2,
+	     "C_R": 32
+	 },
+    "importance_threshold": [ 2000, 1800 ]
 }
diff --git a/f1elo/elo.py b/f1elo/elo.py
index 5e6986c..6a007d8 100644
--- a/f1elo/elo.py
+++ b/f1elo/elo.py
@@ -39,9 +39,9 @@ class Elo:
     def get_importance(self, race, rankings):
         base_importance = self.config['importance'][race.type.code]
         min_rank = min(rankings)
-        if min_rank < 2100:
+        if min_rank < min(self.config['importance_threshold']):
             return base_importance
-        if min_rank <= 2400:
+        if min_rank <= max(self.config['importance_threshold']):
             return base_importance * 0.75
         return base_importance / 2
 
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