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# -*- coding: utf-8 -*- |
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# |
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# This file is part of SENAITE.HEALTH. |
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# |
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# SENAITE.HEALTH is free software: you can redistribute it and/or modify it |
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# under the terms of the GNU General Public License as published by the Free |
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# Software Foundation, version 2. |
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# |
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# This program is distributed in the hope that it will be useful, but WITHOUT |
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS |
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# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more |
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# details. |
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# |
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# You should have received a copy of the GNU General Public License along with |
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# this program; if not, write to the Free Software Foundation, Inc., 51 |
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# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. |
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# |
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# Copyright 2018-2019 by it's authors. |
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# Some rights reserved, see README and LICENSE. |
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from Products.CMFCore.utils import getToolByName |
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from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile |
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from bika.lims.browser import BrowserView |
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from bika.health import bikaMessageFactory as _ |
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from zope.interface import implements |
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from plone.app.layout.globals.interfaces import IViewView |
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from Products.CMFPlone.i18nl10n import ulocalized_time |
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import plone |
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import json |
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class HistoricResultsView(BrowserView): |
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implements(IViewView) |
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template = ViewPageTemplateFile("historicresults.pt") |
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def __init__(self, context, request): |
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BrowserView.__init__(self, context, request) |
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self.context = context |
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self.request = request |
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self._rows = None |
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self._dates = None |
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path = "/++resource++bika.health.images" |
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self.icon = self.portal_url + path + "/historicresults_big.png" |
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self.title = self.context.translate(_("Historic Results")) |
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self.description = "" |
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def __call__(self): |
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self._load() |
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return self.template() |
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def get_dates(self): |
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""" Gets the result capture dates for which at least one analysis |
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result has been found for the current Patient. |
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""" |
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return self._dates |
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def get_rows(self): |
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""" Returns a dictionary with rows with the following structure: |
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rows = {<sampletype_uid>: { |
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'object': <sampletype>, |
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'analyses': { |
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<analysisservice_uid>: { |
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'object': <analysisservice>, |
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'title': <analysisservice.title>, |
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'units': <analysisservice.units>, |
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'specs': {'error', 'min', 'max', ...}, |
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<date> : { |
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'object': <analysis>, |
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'result': <analysis.result>, |
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'date': <analysis.resultdate> |
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}, |
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} |
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} |
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}} |
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""" |
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return self._rows |
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def _load(self): |
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""" Loads the Controller acessors and other stuff |
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""" |
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self._dates, self._rows = get_historicresults(self.context) |
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def get_historicresults(patient): |
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if not patient: |
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return [], {} |
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rows = {} |
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dates = [] |
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uid = patient.UID() |
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states = ['verified', 'published'] |
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# Retrieve the AR IDs for the current patient |
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bc = getToolByName(patient, 'bika_catalog') |
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ars = [ar.id for ar |
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in bc(portal_type='AnalysisRequest', review_state=states) |
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if 'Patient' in ar.getObject().Schema() |
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and ar.getObject().Schema().getField('Patient').get(ar.getObject()) |
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and ar.getObject().Schema().getField('Patient').get(ar.getObject()).UID() == uid] |
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# Retrieve all the analyses, sorted by ResultCaptureDate DESC |
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bc = getToolByName(patient, 'bika_analysis_catalog') |
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analyses = [an.getObject() for an |
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in bc(portal_type='Analysis', |
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getRequestID=ars, |
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sort_on='getResultCaptureDate', |
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sort_order='reverse')] |
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# Build the dictionary of rows |
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for analysis in analyses: |
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ar = analysis.aq_parent |
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sampletype = ar.getSampleType() |
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row = rows.get(sampletype.UID()) if sampletype.UID() in rows.keys() \ |
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else {'object': sampletype, 'analyses': {}} |
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anrow = row.get('analyses') |
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service_uid = analysis.getServiceUID() |
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asdict = anrow.get(service_uid, {'object': analysis, |
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'title': analysis.Title(), |
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'keyword': analysis.getKeyword(), |
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'units': analysis.getUnit()}) |
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date = analysis.getResultCaptureDate() or analysis.created() |
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date = ulocalized_time(date, 1, None, patient, 'bika') |
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# If more than one analysis of the same type has been |
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# performed in the same datetime, get only the last one |
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if date not in asdict.keys(): |
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asdict[date] = {'object': analysis, |
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'result': analysis.getResult(), |
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'formattedresult': analysis.getFormattedResult()} |
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# Get the specs |
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# Only the specs applied to the last analysis for that |
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# sample type will be taken into consideration. |
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# We assume specs from previous analyses are obsolete. |
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if 'specs' not in asdict.keys(): |
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spec = analysis.getAnalysisSpecs() |
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spec = spec.getResultsRangeDict() if spec else {} |
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specs = spec.get(analysis.getKeyword(), {}) |
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if not specs.get('rangecomment', ''): |
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if specs.get('min', '') and specs.get('max', ''): |
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specs['rangecomment'] = '%s - %s' % \ |
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(specs.get('min'), specs.get('max')) |
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elif specs.get('min', ''): |
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specs['rangecomment'] = '> %s' % specs.get('min') |
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elif specs.get('max', ''): |
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specs['rangecomment'] = '< %s' % specs.get('max') |
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if specs.get('error', '0') != '0' \ |
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and specs.get('rangecomment', ''): |
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specs['rangecomment'] = ('%s (%s' % |
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(specs.get('rangecomment'), |
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specs.get('error'))) + '%)' |
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asdict['specs'] = specs |
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if date not in dates: |
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dates.append(date) |
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anrow[service_uid] = asdict |
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row['analyses'] = anrow |
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rows[sampletype.UID()] = row |
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dates.sort(reverse=False) |
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return dates, rows |
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class historicResultsJSON(BrowserView): |
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""" Returns a JSON array datatable in a tabular format. |
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""" |
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def __init__(self, context, request): |
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BrowserView.__init__(self, context, request) |
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self.context = context |
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self.request = request |
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def __call__(self): |
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dates, data = get_historicresults(self.context) |
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datatable = [] |
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for andate in dates: |
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datarow = {'date': ulocalized_time( |
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andate, 1, None, self.context, 'bika')} |
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for row in data.itervalues(): |
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for anrow in row['analyses'].itervalues(): |
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serie = anrow['title'] |
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datarow[serie] = anrow.get(andate, {}).get('result', '') |
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datatable.append(datarow) |
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return json.dumps(datatable) |
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senaite /
senaite.health
