296 lines
10 KiB
Python
296 lines
10 KiB
Python
#
|
|
# Copyright (c) 2013 Helmut Merz helmutm@cy55.de
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by
|
|
# the Free Software Foundation; either version 2 of the License, or
|
|
# (at your option) any later version.
|
|
#
|
|
# This program is distributed in the hope that it will be useful,
|
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
# GNU General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License
|
|
# along with this program; if not, write to the Free Software
|
|
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
|
|
#
|
|
|
|
"""
|
|
Definition of view classes and other browser related stuff for
|
|
surveys and self-assessments.
|
|
"""
|
|
|
|
import csv
|
|
from cStringIO import StringIO
|
|
from zope.app.pagetemplate import ViewPageTemplateFile
|
|
from zope.cachedescriptors.property import Lazy
|
|
from zope.i18n import translate
|
|
|
|
from cybertools.knowledge.survey.questionnaire import Response
|
|
from cybertools.util.date import formatTimeStamp
|
|
from loops.browser.concept import ConceptView
|
|
from loops.browser.node import NodeView
|
|
from loops.common import adapted
|
|
from loops.knowledge.survey.response import Responses
|
|
from loops.organize.party import getPersonForUser
|
|
from loops.util import getObjectForUid
|
|
from loops.util import _
|
|
|
|
|
|
template = ViewPageTemplateFile('view_macros.pt')
|
|
|
|
class SurveyView(ConceptView):
|
|
|
|
data = None
|
|
errors = None
|
|
minBatchSize = 10
|
|
teamData = None
|
|
|
|
@Lazy
|
|
def macro(self):
|
|
self.registerDojo()
|
|
return template.macros['survey']
|
|
|
|
@Lazy
|
|
def tabview(self):
|
|
if self.editable:
|
|
return 'index.html'
|
|
|
|
@Lazy
|
|
def groups(self):
|
|
result = []
|
|
if self.adapted.noGrouping:
|
|
questions = list(self.adapted.questions)
|
|
questions.sort(key=lambda x: x.title)
|
|
size = len(questions)
|
|
nb = size / self.minBatchSize
|
|
rem = size % self.minBatchSize
|
|
bs = self.minBatchSize + ((rem + self.minBatchSize) / nb)
|
|
for idx in range(0, size, bs):
|
|
result.append(dict(title=u'Question', infoText=None,
|
|
questions=questions[idx:idx+bs]))
|
|
else:
|
|
for group in self.adapted.questionGroups:
|
|
result.append(dict(title=group.title,
|
|
infoText=self.getInfoText(group),
|
|
questions=group.questions))
|
|
return result
|
|
|
|
@Lazy
|
|
def answerOptions(self):
|
|
opts = self.adapted.answerOptions
|
|
if not opts:
|
|
opts = [
|
|
dict(value='none', label=u'No answer',
|
|
description=u'survey_value_none'),
|
|
dict(value=3, label=u'Fully applies',
|
|
description=u'survey_value_3'),
|
|
dict(value=2, label=u'', description=u'survey_value_2'),
|
|
dict(value=1, label=u'', description=u'survey_value_1'),
|
|
dict(value=0, label=u'Does not apply',
|
|
description=u'survey_value_0'),]
|
|
return opts
|
|
|
|
@Lazy
|
|
def showFeedbackText(self):
|
|
sft = self.adapted.showFeedbackText
|
|
return sft is None and True or sft
|
|
|
|
@Lazy
|
|
def feedbackColumns(self):
|
|
cols = self.adapted.feedbackColumns
|
|
if not cols:
|
|
cols = [
|
|
dict(name='text', label=u'Response'),
|
|
dict(name='score', label=u'Score')]
|
|
return cols
|
|
|
|
@Lazy
|
|
def showTeamResults(self):
|
|
for c in self.feedbackColumns:
|
|
if c['name'] in ('average', 'teamRank'):
|
|
return True
|
|
return False
|
|
|
|
def getTeamData(self, respManager):
|
|
result = []
|
|
pred = self.conceptManager.get('ismember')
|
|
if pred is None:
|
|
return result
|
|
personId = respManager.personId
|
|
person = self.getObjectForUid(personId)
|
|
inst = person.getParents([pred])
|
|
if inst:
|
|
for c in inst[0].getChildren([pred]):
|
|
uid = self.getUidForObject(c)
|
|
data = respManager.load(uid)
|
|
if data:
|
|
resp = Response(self.adapted, None)
|
|
for qu in self.adapted.questions:
|
|
if qu.uid in data:
|
|
resp.values[qu] = data[qu.uid]
|
|
qgAvailable = True
|
|
for qg in self.adapted.questionGroups:
|
|
if qg.uid in data:
|
|
resp.values[qg] = data[qg.uid]
|
|
else:
|
|
qgAvailable = False
|
|
if not qgAvailable:
|
|
values = resp.getGroupedResult()
|
|
for v in values:
|
|
resp.values[v['group']] = v['score']
|
|
result.append(resp)
|
|
return result
|
|
|
|
def results(self):
|
|
form = self.request.form
|
|
if 'submit' not in form:
|
|
return []
|
|
respManager = Responses(self.context)
|
|
data = {}
|
|
response = Response(self.adapted, None)
|
|
for key, value in form.items():
|
|
if key.startswith('question_'):
|
|
if value != 'none':
|
|
uid = key[len('question_'):]
|
|
question = adapted(self.getObjectForUid(uid))
|
|
if value.isdigit():
|
|
value = int(value)
|
|
data[uid] = value
|
|
response.values[question] = value
|
|
values = response.getGroupedResult()
|
|
for v in values:
|
|
data[self.getUidForObject(v['group'])] = v['score']
|
|
respManager.save(data)
|
|
self.data = data
|
|
self.errors = self.check(response)
|
|
if self.errors:
|
|
return []
|
|
result = [dict(category=r['group'].title, text=r['feedback'].text,
|
|
score=int(round(r['score'] * 100)), rank=r['rank'])
|
|
for r in values]
|
|
if self.showTeamResults:
|
|
self.teamData = self.getTeamData(respManager)
|
|
teamValues = response.getTeamResult(values, self.teamData)
|
|
for idx, r in enumerate(teamValues):
|
|
result[idx]['average'] = int(round(r['average'] * 100))
|
|
result[idx]['teamRank'] = r['rank']
|
|
return result
|
|
|
|
def check(self, response):
|
|
errors = []
|
|
values = response.values
|
|
for qu in self.adapted.questions:
|
|
if qu.required and qu not in values:
|
|
errors.append(dict(uid=qu.uid,
|
|
text='Please answer the obligatory questions.'))
|
|
break
|
|
qugroups = {}
|
|
for qugroup in self.adapted.questionGroups:
|
|
qugroups[qugroup] = 0
|
|
for qu in values:
|
|
qugroups[qu.questionGroup] += 1
|
|
for qugroup, count in qugroups.items():
|
|
minAnswers = qugroup.minAnswers
|
|
if minAnswers in (u'', None):
|
|
minAnswers = len(qugroup.questions)
|
|
if count < minAnswers:
|
|
if self.adapted.noGrouping:
|
|
errors.append(dict(uid=qugroup.uid,
|
|
text='Please answer the highlighted questions.'))
|
|
else:
|
|
errors.append(dict(uid=qugroup.uid,
|
|
text='Please answer the minimum number of questions.'))
|
|
break
|
|
return errors
|
|
|
|
def getInfoText(self, qugroup):
|
|
lang = self.languageInfo.language
|
|
text = qugroup.description
|
|
info = None
|
|
if qugroup.minAnswers in (u'', None):
|
|
info = translate(_(u'Please answer all questions.'),
|
|
target_language=lang)
|
|
elif qugroup.minAnswers > 0:
|
|
info = translate(_(u'Please answer at least $minAnswers questions.',
|
|
mapping=dict(minAnswers=qugroup.minAnswers)),
|
|
target_language=lang)
|
|
if info:
|
|
text = u'<i>%s</i><br />(%s)' % (text, info)
|
|
return text
|
|
|
|
def getValues(self, question):
|
|
setting = None
|
|
if self.data is None:
|
|
self.data = Responses(self.context).load()
|
|
if self.data:
|
|
setting = self.data.get(question.uid)
|
|
if setting is None:
|
|
setting = 'none'
|
|
setting = str(setting)
|
|
result = []
|
|
for opt in self.answerOptions:
|
|
value = str(opt['value'])
|
|
result.append(dict(value=value, checked=(setting == value),
|
|
title=opt['description']))
|
|
return result
|
|
|
|
def getCssClass(self, question):
|
|
cls = ''
|
|
if self.errors and self.data.get(question.uid) is None:
|
|
cls = 'error '
|
|
return cls + 'vpad'
|
|
|
|
|
|
class SurveyCsvExport(NodeView):
|
|
|
|
encoding = 'ISO8859-15'
|
|
|
|
def encode(self, text):
|
|
text.encode(self.encoding)
|
|
|
|
@Lazy
|
|
def questions(self):
|
|
result = []
|
|
for idx1, qug in enumerate(
|
|
adapted(self.virtualTargetObject).questionGroups):
|
|
for idx2, qu in enumerate(qug.questions):
|
|
result.append((idx1, idx2, qug, qu))
|
|
return result
|
|
|
|
@Lazy
|
|
def columns(self):
|
|
infoCols = ['Name', 'Timestamp']
|
|
dataCols = ['%02i-%02i' % (item[0], item[1]) for item in self.questions]
|
|
return infoCols + dataCols
|
|
|
|
def getRows(self):
|
|
for tr in Responses(self.virtualTargetObject).getAllTracks():
|
|
p = adapted(getObjectForUid(tr.userName))
|
|
name = p and p.title or u'???'
|
|
ts = formatTimeStamp(tr.timeStamp)
|
|
cells = [tr.data.get(qu.uid, -1)
|
|
for (idx1, idx2, qug, qu) in self.questions]
|
|
yield [name, ts] + cells
|
|
|
|
def __call__(self):
|
|
f = StringIO()
|
|
writer = csv.writer(f, delimiter=',')
|
|
writer.writerow(self.columns)
|
|
for row in self.getRows():
|
|
writer.writerow(row)
|
|
text = f.getvalue()
|
|
self.setDownloadHeader(text)
|
|
return text
|
|
|
|
def setDownloadHeader(self, text):
|
|
response = self.request.response
|
|
filename = 'survey_data.csv'
|
|
response.setHeader('Content-Disposition',
|
|
'attachment; filename=%s' % filename)
|
|
response.setHeader('Cache-Control', '')
|
|
response.setHeader('Pragma', '')
|
|
response.setHeader('Content-Length', len(text))
|
|
response.setHeader('Content-Type', 'text/csv')
|
|
|