126 lines
4.1 KiB
Python
126 lines
4.1 KiB
Python
# cybertools.knowledge.survey.questionnaire
|
|
|
|
""" Questionnaires, questions and other stuff needed for surveys.
|
|
"""
|
|
|
|
from zope.interface import implementer
|
|
from cybertools.knowledge.survey.interfaces import IQuestionnaire
|
|
from cybertools.knowledge.survey.interfaces import IQuestionGroup, IQuestion
|
|
from cybertools.knowledge.survey.interfaces import IFeedbackItem, IResponse
|
|
|
|
|
|
@implementer(IQuestionnaire)
|
|
class Questionnaire(object):
|
|
|
|
def __init__(self):
|
|
self.questionGroups = []
|
|
self.questions = []
|
|
self.responses = []
|
|
self.defaultAnswerRange = 5
|
|
|
|
def getQuestionGroups(self, party):
|
|
return self.questionGroups
|
|
|
|
|
|
@implementer(IQuestionGroup)
|
|
class QuestionGroup(object):
|
|
|
|
def __init__(self, questionnaire):
|
|
self.questionnaire = questionnaire
|
|
self.questions = []
|
|
self.feedbackItems = []
|
|
|
|
|
|
@implementer(IQuestion)
|
|
class Question(object):
|
|
|
|
_answerRange = None
|
|
|
|
def __init__(self, questionnaire, text=u''):
|
|
self.questionnaire = questionnaire
|
|
self.feedbackItems = {}
|
|
self.text = text
|
|
self.revertAnswerOptions = False
|
|
self.questionType = 'value_selection'
|
|
self.answerRange = None
|
|
|
|
|
|
@implementer(IFeedbackItem)
|
|
class FeedbackItem(object):
|
|
|
|
def __init__(self, text=u''):
|
|
self.text = text
|
|
|
|
|
|
@implementer(IResponse)
|
|
class Response(object):
|
|
|
|
def __init__(self, questionnaire, party):
|
|
self.questionnaire = questionnaire
|
|
self.party = party
|
|
self.values = {}
|
|
self.texts = {}
|
|
|
|
def getResult(self):
|
|
result = {}
|
|
for question, value in self.values.items():
|
|
if question.questionType != 'value_selection':
|
|
continue
|
|
for fi, rf in question.feedbackItems.items():
|
|
if question.revertAnswerOptions:
|
|
answerRange = (question.answerRange or
|
|
self.questionnaire.defaultAnswerRange)
|
|
value = answerRange - value - 1
|
|
result[fi] = result.get(fi, 0.0) + rf * value
|
|
return sorted(result.items(), key=lambda x: -x[1])
|
|
|
|
def getGroupedResult(self):
|
|
result = []
|
|
for qugroup in self.questionnaire.getQuestionGroups(self.party):
|
|
score = scoreMax = 0.0
|
|
for qu in qugroup.questions:
|
|
if qu.questionType not in (None, 'value_selection'):
|
|
continue
|
|
value = self.values.get(qu)
|
|
if value is None or isinstance(value, str):
|
|
continue
|
|
answerRange = (qu.answerRange or
|
|
self.questionnaire.defaultAnswerRange)
|
|
if qu.revertAnswerOptions:
|
|
value = answerRange - value - 1
|
|
score += value
|
|
scoreMax += answerRange - 1
|
|
if scoreMax > 0.0:
|
|
relScore = score / scoreMax
|
|
wScore = relScore * len(qugroup.feedbackItems) - 0.00001
|
|
if qugroup.feedbackItems:
|
|
feedback = qugroup.feedbackItems[int(wScore)]
|
|
else:
|
|
feedback = FeedbackItem()
|
|
result.append(dict(
|
|
group=qugroup,
|
|
feedback=feedback,
|
|
score=relScore))
|
|
ranks = getRanks([r['score'] for r in result])
|
|
for idx, r in enumerate(result):
|
|
r['rank'] = ranks[idx]
|
|
return result
|
|
|
|
def getTeamResult(self, groups, teamData):
|
|
result = []
|
|
for idx, group in enumerate(groups):
|
|
values = [data.values.get(group) for data in teamData]
|
|
values = [v for v in values if v is not None]
|
|
#avg = sum(values) / len(teamData)
|
|
if not values:
|
|
continue
|
|
avg = sum(values) / len(values)
|
|
result.append(dict(group=group, average=avg))
|
|
ranks = getRanks([r['average'] for r in result])
|
|
for idx, r in enumerate(result):
|
|
r['rank'] = ranks[idx]
|
|
return result
|
|
|
|
def getRanks(values):
|
|
ordered = list(reversed(sorted(values)))
|
|
return [ordered.index(v) + 1 for v in values]
|