From cacca105ac57bf1d14beeae6151ccfd5dea61f39 Mon Sep 17 00:00:00 2001
From: Helmut Merz <helmutm@cy55.de>
Date: Fri, 2 May 2014 14:45:10 +0200
Subject: [PATCH] provide team evaluation of survey

---
 knowledge/survey/README.txt       | 18 ++++++++++++++++--
 knowledge/survey/questionnaire.py | 16 ++++++++++++++++
 2 files changed, 32 insertions(+), 2 deletions(-)

diff --git a/knowledge/survey/README.txt b/knowledge/survey/README.txt
index 9315131..dd3e3b7 100644
--- a/knowledge/survey/README.txt
+++ b/knowledge/survey/README.txt
@@ -40,6 +40,10 @@ It's possible to leave some of the questions unanswered.
   >>> resp02 = Response(quest, 'john')
   >>> resp02.values = {qu01: 2, qu03: 4}
 
+
+Evaluation
+==========
+
 Now let's calculate the result for resp01.
 
   >>> res = resp01.getResult()
@@ -55,8 +59,8 @@ Now let's calculate the result for resp01.
   fi03 4.0
   fi01 2.4
 
-Grouped Feedback Items
-======================
+Grouped feedback items
+----------------------
 
   >>> from cybertools.knowledge.survey.questionnaire import QuestionGroup
   >>> qugroup = QuestionGroup(quest)
@@ -74,3 +78,13 @@ Grouped Feedback Items
   ...     print fi.text, round(score, 2)
   fi03 0.75
 
+Team evaluation
+---------------
+
+  >>> resp03 = Response(quest, 'mary')
+  >>> resp03.values = {qu01: 1, qu02: 2, qu03: 4}
+
+  >>> res, ranks, averages = resp01.getTeamResult([resp01, resp03])
+  >>> ranks, averages
+  ([2], [0.6666...])
+
diff --git a/knowledge/survey/questionnaire.py b/knowledge/survey/questionnaire.py
index b73e9e6..459bc8e 100644
--- a/knowledge/survey/questionnaire.py
+++ b/knowledge/survey/questionnaire.py
@@ -109,3 +109,19 @@ class Response(object):
                 wScore = relScore * len(qugroup.feedbackItems) - 0.00001
                 result.append((qugroup, qugroup.feedbackItems[int(wScore)], relScore))
         return result
+
+    def getTeamResult(self, teamData):
+        mine = self.getGroupedResult()
+        all = [d.getGroupedResult() for d in teamData]
+        averages = []
+        ranks = []
+        for idx, qgdata in enumerate(mine):
+            total = 0.0
+            pos = len(teamData)
+            for j, data in enumerate(all):
+                total += data[idx][2]
+                if qgdata[2] >= data[idx][2]:
+                    pos = len(teamData) - j
+            ranks.append(pos)
+            averages.append(total / len(teamData))
+        return mine, ranks, averages