Source code for cubes.piws.views.longitudinal_views
##########################################################################
# NSAp - Copyright (C) CEA, 2013
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for details.
##########################################################################
# System import
import json
# Cubicweb import
from cubicweb.view import View
[docs]class QuestionnaireLongitudinalView(View):
""" Create a view that summarized the longitudinal material for a subject.
"""
__regid__ = "questionnaire-longitudinal-measures"
title = _("Longitudinal")
paginable = False
div_id = "questionnaire-longitudinal-measures"
[docs] def call(self, rset=None, patient_id="", **kwargs):
""" Method that will create the subject longitudinal views.
If no resultset are passed to this method, the current resultset is
used.
Only digits answers are considered.
Parameters
----------
rset: resultset (optional, default None)
a cw resultset
patient_id: string (optional, default None)
the patient identifier.
"""
# Get the cw resultset
rset = rset or self.cw_rset
# Get the method parameters: if we use 'build_url' method, the data
# are in the firm dictionary
patient_id = patient_id or self._cw.form.get("patient_id", "")
# Add some js resources
self._cw.add_js(
("highcharts-4.0.4/js/highcharts.js",
"highcharts-4.0.4/js/modules/exporting.js")
)
# Get the data from the result set
questionnaires = {}
for line_number in range(rset.rowcount):
# Get the questionnaire run entity
qr_entity = rset.get_entity(line_number, 0)
# Get the questionnaire run timepoint
timepoint = qr_entity.in_assessment[0].timepoint
# Get the associated questionnaire/questions
q_entity = qr_entity.questionnaire[0]
if q_entity.name not in questionnaires:
questionnaires[q_entity.name] = dict(
(entity.text, {})
for entity in q_entity.questions)
# Get the questionnaire run associated answers and fill the
# 'questionnaires' structure
# > case 1: one line of answers inserted per subject (File)
# > case 2: the answers are inserted in the database (OpenAnswer).
if len(qr_entity.file) > 0:
answers = json.loads(qr_entity.file[0].data.getvalue())
for qname, answer in answers.items():
questionnaires[q_entity.name][qname][timepoint] = str(
answer)
else:
answer_entities = qr_entity.open_answers
for entity in answer_entities:
questionnaires[q_entity.name][entity.question[0].text][
timepoint] = entity.value
# Create a selector
html = "<h1>Longitudinal scores follow up</h1>"
html += "<hr>"
html += ("<h2>Please select a measure to follow accross the "
"timepoints in this list:</h2>")
html += "<select class='selectpicker' data-live-search='true'>"
html += "<option></option>"
for questionnaire_name, questions in questionnaires.iteritems():
html += "<optgroup label='{0}' data-icon='glyphicon-heart'>".format(
questionnaire_name)
for question_name, question_item in questions.iteritems():
# Get the plot data
data = sorted(question_item.items())
values = [p[1] for p in data]
if len(values) == 0:
continue
# Check if we are dealing with numbers
control_value = values[0].replace(".", "", 1)
if control_value.isdigit():
html += "<option value='{0}'>{0}</option>".format(
question_name)
html += "</optgroup>"
html += "</select>"
# Ceate a div to display the plots
html += ("<div id='longitudinal-plot' style='min-width: 310px; "
"height: 400px; max-width: 600px; margin: 0 auto'></div>")
# Convert the input data
html += "<script type='text/javascript'>"
html += "var jdata = {};"
for q_name, q_item in questionnaires.iteritems():
for question_name, question_item in q_item.iteritems():
# Get the plot data
data = sorted(question_item.items())
values = [p[1] for p in data]
if len(values) == 0:
continue
# Check if we are dealing with numbers
control_value = values[0].replace(".", "", 1)
if control_value.isdigit():
html += "var sdata = {};"
html += "sdata['x'] = [];".format(question_name)
html += "sdata['grid'] = [];".format(question_name)
html += "sdata['related_question'] = '{0}';".format(question_name)
html += "sdata['related_questionnaire'] = '{0}';".format(q_name)
for p in data:
html += "sdata['x'].push('{0}');".format(p[0])
html += "sdata['grid'].push({0});".format(p[1])
html += "jdata['{0}'] = sdata;".format(question_name)
# Add an event when the selection change
html += "$(function() {"
html += "$('.selectpicker').on('change', function(){"
html += "var selected = $(this).find('option:selected').val();"
html += "if (selected != ''){"
html += "$('#longitudinal-plot').highcharts({"
html += "credits : {enabled : false}, "
html += ("title: {{text: jdata[selected]['related_questionnaire'] + "
"'-' + jdata[selected]['related_question'] + "
"': {0}'}},".format(patient_id))
html += "xAxis: {categories: jdata[selected]['x']},"
html += "yAxis: {title: {text: ''}},"
html += "legend: {layout: 'vertical', align: 'right', verticalAlign:"
html += "'middle', borderWidth: 0},"
html += "series: [{name: 'longitudinal', data: jdata[selected]['grid']}]"
html += "});"
html += "}"
html += "});"
html += "});"
html += "</script>"
# Display the page content
self.w(unicode(html))
