def __update_age_label(self):
# no patient
if not self.curr_pat.connected:
self._LBL_age.SetLabel(_('<Age>'))
self._LBL_age.SetToolTip(_('no patient selected'))
return
# gender is always known
tt = _('Gender: %s (%s) - %s\n') % (self.curr_pat.gender_symbol,
gmTools.coalesce(
self.curr_pat['gender'], '?'),
self.curr_pat.gender_string)
# dob is not known
if self.curr_pat['dob'] is None:
age = '%s %s' % (self.curr_pat.gender_symbol,
self.curr_pat.get_formatted_dob())
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTip(tt)
return
tt += _('Born: %s\n') % self.curr_pat.get_formatted_dob(
format='%d %b %Y')
# patient is dead
if self.curr_pat['deceased'] is not None:
tt += _('Died: %s\n') % gmDateTime.pydt_strftime(
self.curr_pat['deceased'], '%d %b %Y')
tt += _('At age: %s\n') % self.curr_pat['medical_age']
age = '%s %s - %s (%s)' % (
self.curr_pat.gender_symbol,
self.curr_pat.get_formatted_dob(format='%d %b %Y'),
gmDateTime.pydt_strftime(
self.curr_pat['deceased'],
'%d %b %Y'), self.curr_pat['medical_age'])
if self.curr_pat['dob_is_estimated']:
tt += _(' (date of birth and age are estimated)\n')
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTip(tt)
return
# patient alive
now = gmDateTime.pydt_now_here()
# patient birthday ?
if self.curr_pat.get_formatted_dob(
format='%m-%d',
honor_estimation=False) == now.strftime('%m-%d'):
template = _('%(sex)s %(dob)s (%(age)s today !)')
tt += _("\nToday is the patient's birthday !\n\n")
tt += _('Age: %s\n') % self.curr_pat['medical_age']
else:
tt += _('Age: %s, birthday:\n') % self.curr_pat['medical_age']
if self.curr_pat.current_birthday_passed is True:
template = '%(sex)s %(dob)s%(l_arr)s (%(age)s)'
tt += ' ' + _('last: %s ago (this year)'
) % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=self.curr_pat.birthday_this_year,
end=now)) + '\n'
tt += ' ' + _(
'next: in %s (next year)'
) % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=now,
end=self.curr_pat.birthday_next_year)) + '\n'
elif self.curr_pat.current_birthday_passed is False:
template = '%(sex)s %(r_arr)s%(dob)s (%(age)s)'
tt += ' ' + _(
'next: in %s (this year)'
) % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=now,
end=self.curr_pat.birthday_this_year)) + '\n'
tt += ' ' + _('last: %s ago (last year)'
) % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=self.curr_pat.birthday_last_year,
end=now)) + '\n'
else: # None, unknown
template = '%(sex)s %(dob)s (%(age)s)'
# FIXME: if the age is below, say, 2 hours we should fire
# a timer here that updates the age in increments of 1 minute ... :-)
age = template % {
'sex': self.curr_pat.gender_symbol,
'dob': self.curr_pat.get_formatted_dob(format='%d %b %Y'),
'age': self.curr_pat['medical_age'],
'r_arr': gmTools.u_arrow2right,
'l_arr': gmTools.u_left_arrow
}
# Easter Egg ;-)
if self.curr_pat['lastnames'] == 'Leibner':
if self.curr_pat['firstnames'] == 'Steffi':
if self.curr_pat['preferred'] == 'Wildfang':
age = '%s %s' % (gmTools.u_black_heart, age)
if self.curr_pat['dob_is_estimated']:
tt += _(' (date of birth and age are estimated)\n')
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTip(tt)
def __update_age_label(self):
# no patient
if not self.curr_pat.connected:
self._LBL_age.SetLabel(_('<Age>'))
self._LBL_age.SetToolTipString(_('no patient selected'))
return
# gender is always known
tt = _(u'Gender: %s (%s) - %s\n') % (
self.curr_pat.gender_symbol,
gmTools.coalesce(self.curr_pat[u'gender'], u'?'),
self.curr_pat.gender_string
)
# dob is not known
if self.curr_pat['dob'] is None:
age = u'%s %s' % (
self.curr_pat.gender_symbol,
self.curr_pat.get_formatted_dob()
)
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTipString(tt)
return
tt += _('Born: %s\n') % self.curr_pat.get_formatted_dob(format = '%d %b %Y', encoding = gmI18N.get_encoding())
# patient is dead
if self.curr_pat['deceased'] is not None:
tt += _('Died: %s\n') % gmDateTime.pydt_strftime(self.curr_pat['deceased'], '%d %b %Y')
tt += _('At age: %s\n') % self.curr_pat['medical_age']
age = u'%s %s - %s (%s)' % (
self.curr_pat.gender_symbol,
self.curr_pat.get_formatted_dob(format = '%d %b %Y', encoding = gmI18N.get_encoding()),
gmDateTime.pydt_strftime(self.curr_pat['deceased'], '%d %b %Y'),
self.curr_pat['medical_age']
)
if self.curr_pat['dob_is_estimated']:
tt += _(' (date of birth and age are estimated)\n')
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTipString(tt)
return
# patient alive
now = gmDateTime.pydt_now_here()
# patient birthday ?
if self.curr_pat.get_formatted_dob(format = '%m-%d') == now.strftime('%m-%d'):
template = _('%(sex)s %(dob)s (%(age)s today !)')
tt += _("\nToday is the patient's birthday !\n\n")
else:
if self.curr_pat.current_birthday_passed():
template = u'%(sex)s %(dob)s%(l_arr)s (%(age)s)'
tt += _(u'Birthday: %s ago\n') % gmDateTime.format_apparent_age_medically (
age = gmDateTime.calculate_apparent_age(start = self.curr_pat.birthday_this_year, end = now)
)
else:
template = u'%(sex)s %(r_arr)s%(dob)s (%(age)s)'
tt += _(u'Birthday: in %s\n') % gmDateTime.format_apparent_age_medically (
age = gmDateTime.calculate_apparent_age(start = now, end = self.curr_pat.birthday_this_year)
)
tt += _('Age: %s\n') % self.curr_pat['medical_age']
# FIXME: if the age is below, say, 2 hours we should fire
# a timer here that updates the age in increments of 1 minute ... :-)
age = template % {
u'sex': self.curr_pat.gender_symbol,
u'dob': self.curr_pat.get_formatted_dob(format = '%d %b %Y', encoding = gmI18N.get_encoding()),
u'age': self.curr_pat['medical_age'],
u'r_arr': gmTools.u_right_arrow,
u'l_arr': gmTools.u_left_arrow
}
# Easter Egg ;-)
if self.curr_pat['lastnames'] == u'Leibner':
if self.curr_pat['firstnames'] == u'Steffi':
if self.curr_pat['preferred'] == u'Wildfang':
age = u'%s %s' % (gmTools.u_black_heart, age)
if self.curr_pat['dob_is_estimated']:
tt += _(' (date of birth and age are estimated)\n')
self._LBL_age.SetLabel(age)
self._LBL_age.SetToolTipString(tt)
def create_timeline_file(patient=None, filename=None, include_documents=False, include_vaccinations=False, include_encounters=False):
emr = patient.emr
global now
now = gmDateTime.pydt_now_here()
if filename is None:
timeline_fname = gmTools.get_unique_filename(prefix = 'gm-', suffix = '.timeline') # .timeline required ...
else:
timeline_fname = filename
_log.debug('exporting EMR as timeline into [%s]', timeline_fname)
timeline = io.open(timeline_fname, mode = 'wt', encoding = 'utf8', errors = 'xmlcharrefreplace')
if patient['dob'] is None:
lifespan_start = format_pydt(now.replace(year = now.year - 100))
else:
lifespan_start = format_pydt(patient['dob'])
if patient['deceased'] is None:
life_ends2day = 'True'
lifespan_end = format_pydt(now)
else:
life_ends2day = 'False'
lifespan_end = format_pydt(patient['deceased'])
earliest_care_date = emr.earliest_care_date
most_recent_care_date = emr.most_recent_care_date
if most_recent_care_date is None:
most_recent_care_date = lifespan_end
care_ends2day = life_ends2day
else:
most_recent_care_date = format_pydt(most_recent_care_date)
care_ends2day = 'False'
timeline.write(xml_start % (
# era: life span of patient
_('Lifespan'),
lifespan_start,
lifespan_end,
life_ends2day,
ERA_NAME_CARE_PERIOD,
format_pydt(earliest_care_date),
most_recent_care_date,
care_ends2day,
# categories
_('Health issues'),
_('Episodes'),
_('Encounters'),
_('Hospital stays'),
_('Procedures'),
_('Documents'),
_('Vaccinations'),
_('Substances'),
_('Life events')
))
# birth
if patient['dob'] is None:
start = now.replace(year = now.year - 100)
timeline.write(__xml_encounter_template % (
format_pydt(start),
format_pydt(start),
'?',
_('Life events'),
_('Date of birth unknown'),
'True'
))
else:
start = patient['dob']
timeline.write(__xml_encounter_template % (
format_pydt(patient['dob']),
format_pydt(patient['dob']),
'*',
_('Life events'),
_('Birth: %s') % patient.get_formatted_dob(format = '%Y %b %d %H:%M', honor_estimation = True),
'True'
))
# start of care
timeline.write(__xml_encounter_template % (
format_pydt(earliest_care_date),
format_pydt(earliest_care_date),
gmTools.u_heavy_greek_cross,
_('Life events'),
_('Start of Care: %s\n(the earliest recorded event of care in this praxis)') % format_pydt(earliest_care_date, format = '%Y %b %d'),
'True'
))
# containers must be defined before their
# subevents, so put health issues first
timeline.write('\n <!-- ========================================\n Health issues\n======================================== -->')
for issue in emr.health_issues:
timeline.write(__format_health_issue_as_timeline_xml(issue, patient, emr))
timeline.write('\n <!-- ========================================\n Episodes\n======================================== -->')
for epi in emr.get_episodes(order_by = 'pk_health_issue'):
timeline.write(__format_episode_as_timeline_xml(epi, patient))
if include_encounters:
timeline.write(u'\n<!--\n========================================\n Encounters\n======================================== -->')
for enc in emr.get_encounters(skip_empty = True):
timeline.write(__format_encounter_as_timeline_xml(enc, patient))
timeline.write('\n<!--\n========================================\n Hospital stays\n======================================== -->')
for stay in emr.hospital_stays:
timeline.write(__format_hospital_stay_as_timeline_xml(stay))
timeline.write('\n<!--\n========================================\n Procedures\n======================================== -->')
for proc in emr.performed_procedures:
timeline.write(__format_procedure_as_timeline_xml(proc))
if include_vaccinations:
timeline.write(u'\n<!--\n========================================\n Vaccinations\n======================================== -->')
for vacc in emr.vaccinations:
timeline.write(__format_vaccination_as_timeline_xml(vacc))
timeline.write('\n<!--\n========================================\n Substance intakes\n======================================== -->')
for intake in emr.get_current_medications(include_inactive = True, include_unapproved = False):
timeline.write(__format_intake_as_timeline_xml(intake))
if include_documents:
timeline.write(u'\n<!--\n========================================\n Documents\n======================================== -->')
for doc in patient.document_folder.documents:
timeline.write(__format_document_as_timeline_xml(doc))
# allergies ?
# - unclear where and how to place
# test results ?
# - too many events, at most "day sample drawn"
# death
if patient['deceased'] is None:
end = now
else:
end = patient['deceased']
death_ago = gmDateTime.format_apparent_age_medically (
age = gmDateTime.calculate_apparent_age(start = end, end = now)
)
timeline.write(__xml_encounter_template % (
format_pydt(end),
format_pydt(end),
gmTools.u_dagger,
_('Life events'),
_('Death: %s\n(%s ago at age %s)') % (
format_pydt(end, format = '%Y %b %d %H:%M'),
death_ago,
patient.get_medical_age()
),
'True'
))
# display range
if end.month == 2:
if end.day == 29:
# leap years aren't consecutive
end = end.replace(day = 28)
target_year = end.year + 1
end = end.replace(year = target_year)
timeline.write(xml_end % (
format_pydt(start),
format_pydt(end)
))
timeline.close()
return timeline_fname
def __update_lab(self):
if not self.curr_pat.connected:
self._LBL_lab.SetLabel('')
self._LBL_lab.SetToolTip(None)
return
tests2show = []
tooltip_lines = []
RRs = self.curr_pat.emr.get_most_recent_results_in_loinc_group(
loincs=gmLOINC.LOINC_rr_quantity, max_no_of_results=1)
if len(RRs) == 0:
tests2show.append(_('BP ?'))
else:
tests2show.append(RRs[0]['unified_val'])
tooltip_lines.append(
_('BP: %s ago') % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=RRs[0]['clin_when'])))
HRs = self.curr_pat.emr.get_most_recent_results_in_loinc_group(
loincs=gmLOINC.LOINC_heart_rate_quantity, max_no_of_results=1)
if len(HRs) > 0:
tests2show.append('@ %s' % HRs[0]['unified_val'])
tooltip_lines.append(
_('%s (@) in bpm: %s ago') %
(HRs[0]['abbrev_tt'],
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=HRs[0]['clin_when']))))
bmi = self.curr_pat.emr.bmi
if bmi.numeric_value is not None:
tests2show.append(
_('BMI %s') %
bmi.numeric_value.quantize(decimal.Decimal('1.')))
tooltip_lines.append(
_('BMI: %s ago') % gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=bmi.date_valid)))
else:
weights = self.curr_pat.emr.get_most_recent_results_in_loinc_group(
loincs=gmLOINC.LOINC_weight, max_no_of_results=1)
if len(weights) == 0:
tests2show.append(_('BMI ?'))
else:
tests2show.append(
'%s%s' %
(weights[0]['unified_val'], weights[0]['val_unit']))
tooltip_lines.append(
_('weight: %s ago') %
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=weights[0]['clin_when'])))
gfr_or_crea = self.curr_pat.emr.best_gfr_or_crea
if gfr_or_crea is None:
tests2show.append(_('GFR ?'))
else:
try:
tests2show.append(
_('GFR %s') %
gfr_or_crea.numeric_value.quantize(decimal.Decimal('1.')))
tooltip_lines.append(
_('GFR: %s ago') %
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=gfr_or_crea.date_valid)))
except AttributeError:
tests2show.append(
'%s %s' %
(gfr_or_crea['abbrev_tt'], gfr_or_crea['unified_val']))
tooltip_lines.append(
_('%s: %s ago') %
(gfr_or_crea['abbrev_tt'],
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=gfr_or_crea['clin_when']))))
edc = self.curr_pat.emr.EDC
if edc is not None:
if self.curr_pat.emr.EDC_is_fishy:
tests2show.append(
_('?EDC %s') % gmDateTime.pydt_strftime(
edc, '%Y-%b-%d', accuracy=gmDateTime.acc_days))
else:
tests2show.append(
_('EDC %s') % gmDateTime.pydt_strftime(
edc, '%Y-%b-%d', accuracy=gmDateTime.acc_days))
INRs = self.curr_pat.emr.get_most_recent_results_in_loinc_group(
loincs=gmLOINC.LOINC_inr_quantity, max_no_of_results=1)
if len(INRs) > 0:
tests2show.append('%s %s' %
(INRs[0]['abbrev_tt'], INRs[0]['unified_val']))
tooltip_lines.append(
_('%s: %s ago') % (INRs[0]['abbrev_tt'],
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=INRs[0]['clin_when']))))
# include panel if configured, only show if exist
if self.__lab_panel is not None:
for result in self.__lab_panel.get_most_recent_results(
pk_patient=self.curr_pat.ID,
order_by='unified_abbrev',
group_by_meta_type=True):
tests2show.append('%s %s' %
(result['abbrev_tt'], result['unified_val']))
tooltip_lines.append(
_('%s: %s ago') %
(result['abbrev_tt'],
gmDateTime.format_apparent_age_medically(
age=gmDateTime.calculate_apparent_age(
start=result['clin_when']))))
self._LBL_lab.Label = '; '.join(tests2show)
self._LBL_lab.SetToolTip('\n'.join(tooltip_lines))