def __PID2dto(HL7=None):
pat_lname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__lastname)
pat_fname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__firstname)
pat_mname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__middlename)
if pat_mname is not None:
pat_fname += ' '
pat_fname += pat_mname
_log.debug('patient data from PID segment: first=%s (middle=%s) last=%s', pat_fname, pat_mname, pat_lname)
dto = gmPerson.cDTO_person()
dto.firstnames = pat_fname
dto.lastnames = pat_lname
dto.gender = HL7_GENDERS[HL7.extract_field('PID', segment_num = 1, field_num = PID_field__gender)]
hl7_dob = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__dob)
if hl7_dob is not None:
tmp = time.strptime(hl7_dob, '%Y%m%d')
dto.dob = pyDT.datetime(tmp.tm_year, tmp.tm_mon, tmp.tm_mday, tzinfo = gmDateTime.gmCurrentLocalTimezone)
idents = dto.get_candidate_identities()
if len(idents) == 0:
_log.warning('no match candidate, not auto-importing')
_log.debug(dto)
return []
if len(idents) > 1:
_log.warning('more than one match candidate, not auto-importing')
_log.debug(dto)
return idents
return [gmPerson.cPatient(idents[0].ID)]
def __PID2dto(HL7=None):
pat_lname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__lastname)
pat_fname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__firstname)
pat_mname = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__name, component_num = PID_component__middlename)
if pat_mname is not None:
pat_fname += u' '
pat_fname += pat_mname
_log.debug(u'patient data from PID segment: first=%s (middle=%s) last=%s', pat_fname, pat_mname, pat_lname)
dto = gmPerson.cDTO_person()
dto.firstnames = pat_fname
dto.lastnames = pat_lname
dto.gender = HL7_GENDERS[HL7.extract_field('PID', segment_num = 1, field_num = PID_field__gender)]
hl7_dob = HL7.extract_field('PID', segment_num = 1, field_num = PID_field__dob)
if hl7_dob is not None:
tmp = time.strptime(hl7_dob, '%Y%m%d')
dto.dob = pyDT.datetime(tmp.tm_year, tmp.tm_mon, tmp.tm_mday, tzinfo = gmDateTime.gmCurrentLocalTimezone)
idents = dto.get_candidate_identities()
if len(idents) == 0:
_log.warning('no match candidate, not auto-importing')
_log.debug(dto)
return []
if len(idents) > 1:
_log.warning('more than one match candidate, not auto-importing')
_log.debug(dto)
return idents
return [gmPerson.cPatient(idents[0].ID)]
def parse_xml_linuxmednews(xml_text=None, filename=None):
dob_format = '%Y-%m-%d'
try:
if xml_text is None:
_log.debug('parsing XML in [%s]', filename)
pat = etree.parse(filename)
else:
pat = etree.fromstring(xml_text)
except etree.ParseError:
_log.exception('Cannot parse, is this really XML ?')
return None
dto = gmPerson.cDTO_person()
dto.firstnames = pat.find('firstname').text
dto.lastnames = pat.find('lastname').text
dto.title = pat.find('name_prefix').text
dto.gender = pat.find('gender').text
dob = pyDT.datetime.strptime(pat.find('DOB').text, dob_format)
dto.dob = dob.replace(tzinfo = gmDateTime.pydt_now_here().tzinfo)
dto.dob_is_estimated = False
dto.source = 'LinuxMedNews XML'
#dto.remember_comm_channel(channel=None, url=None):
#dto.remember_address(number=None, street=None, urb=None, region_code=None, zip=None, country_code=None, adr_type=None, subunit=None)
return dto
def parse_xml_linuxmednews(xml_text=None, filename=None):
dob_format = '%Y-%m-%d'
try:
if xml_text is None:
_log.debug('parsing XML in [%s]', filename)
pat = etree.parse(filename)
else:
pat = etree.fromstring(xml_text)
except etree.ParseError:
_log.exception('Cannot parse, is this really XML ?')
return None
dto = gmPerson.cDTO_person()
dto.firstnames = pat.find('firstname').text
dto.lastnames = pat.find('lastname').text
dto.title = pat.find('name_prefix').text
dto.gender = pat.find('gender').text
dob = pyDT.datetime.strptime(pat.find('DOB').text, dob_format)
dto.dob = dob.replace(tzinfo=gmDateTime.pydt_now_here().tzinfo)
dto.dob_is_estimated = False
dto.source = 'LinuxMedNews XML'
#dto.remember_comm_channel(channel=None, url=None):
#dto.remember_address(number=None, street=None, urb=None, region_code=None, zip=None, country_code=None, adr_type=None, subunit=None)
return dto
def read_persons_from_pracsoft_file(filename=None, encoding='ascii'):
pats_file = io.open(filename, mode='rt', encoding=encoding)
dtos = []
for line in pats_file:
if len(line) < PATIENTS_IN_line_len:
continue # perhaps raise Exception ?
dto = gmPerson.cDTO_person()
dto.external_ids = [{
'PracSoft No.': line[0:9].strip(),
'issuer': 'AU PracSoft application'
}, {
'CRN': line[166:180].replace(' ', ''),
'issuer': 'Centrelink (AU)'
}, {
'DVA': line[180:194].replace(' ', ''),
'issuer': "Department of Veteran's Affairs (AU)"
}, {
'AU-Medicare': line[153:166].replace(' ', ''),
'issuer': 'HIC (AU)'
}]
dto.title = gmTools.capitalize(line[9:14].strip(), gmTools.CAPS_FIRST)
dto.firstnames = gmTools.capitalize(line[44:74].strip(),
gmTools.CAPS_NAMES)
dto.lastnames = gmTools.capitalize(line[14:44].strip(),
gmTools.CAPS_NAMES)
dto.gender = line[223].lower()
dob = time.strptime(line[143:153].strip(), PATIENTS_IN_dob_format)
dto.dob = pyDT.datetime(dob.tm_year,
dob.tm_mon,
dob.tm_mday,
tzinfo=gmDateTime.gmCurrentLocalTimezone)
# this is the home address
dto.street = gmTools.capitalize(line[74:114].strip(),
gmTools.CAPS_FIRST)
dto.zip = line[139:143].strip()
dto.urb = line[114:139].strip()
dto.comms = [ # types must correspond to GNUmed database comm type
{
'homephone': line[194:208].replace(' ', '')
}, {
'workphone': line[208:222].replace(' ', '')
}
]
dto.pracsoft_billing_flag = line[222] # P=pensioner R=repatriation
dtos.append(dto)
return dtos
def test_search_by_dto(): dto = gmPerson.cDTO_person() dto.firstnames = 'Sigrid' dto.lastnames = 'Kiesewetter' dto.gender = 'female' # dto.dob = pyDT.datetime.now(tz=gmDateTime.gmCurrentLocalTimezone) dto.dob = datetime.datetime(1939,6,24,23,0,0,0,gmDateTime.gmCurrentLocalTimezone) print(dto) searcher = cPatientSearcher_SQL() pats = searcher.get_patients(dto = dto) print(pats)
def test_search_by_dto(): dto = gmPerson.cDTO_person() dto.firstnames = 'Sigrid' dto.lastnames = 'Kiesewetter' dto.gender = 'female' # dto.dob = pyDT.datetime.now(tz=gmDateTime.gmCurrentLocalTimezone) dto.dob = datetime.datetime(1939,6,24,23,0,0,0,gmDateTime.gmCurrentLocalTimezone) print dto searcher = cPatientSearcher_SQL() pats = searcher.get_patients(dto = dto) print pats
def read_persons_from_pracsoft_file(filename=None, encoding='ascii'):
pats_file = io.open(filename, mode = 'rt', encoding = encoding)
dtos = []
for line in pats_file:
if len(line) < PATIENTS_IN_line_len:
continue # perhaps raise Exception ?
dto = gmPerson.cDTO_person()
dto.external_ids = [
{'PracSoft No.': line[0:9].strip(), 'issuer': 'AU PracSoft application'},
{'CRN': line[166:180].replace(' ', ''), 'issuer': 'Centrelink (AU)'},
{'DVA': line[180:194].replace(' ', ''), 'issuer': "Department of Veteran's Affairs (AU)"},
{'AU-Medicare': line[153:166].replace(' ', ''), 'issuer': 'HIC (AU)'}
]
dto.title = gmTools.capitalize(line[9:14].strip(), gmTools.CAPS_FIRST)
dto.firstnames = gmTools.capitalize(line[44:74].strip(), gmTools.CAPS_NAMES)
dto.lastnames = gmTools.capitalize(line[14:44].strip(), gmTools.CAPS_NAMES)
dto.gender = line[223].lower()
dob = time.strptime(line[143:153].strip(), PATIENTS_IN_dob_format)
dto.dob = pyDT.datetime(dob.tm_year, dob.tm_mon, dob.tm_mday, tzinfo = gmDateTime.gmCurrentLocalTimezone)
# this is the home address
dto.street = gmTools.capitalize(line[74:114].strip(), gmTools.CAPS_FIRST)
dto.zip = line[139:143].strip()
dto.urb = line[114:139].strip()
dto.comms = [ # types must correspond to GNUmed database comm type
{'homephone': line[194:208].replace(' ', '')},
{'workphone': line[208:222].replace(' ', '')}
]
dto.pracsoft_billing_flag = line[222] # P=pensioner R=repatriation
dtos.append(dto)
return dtos
def parse_vcard2dto(vc_text=None, filename=None):
import vobject
if vc_text is None:
_log.info('trying to parse vCard from [%s]', filename)
for encoding in ['utf8', 'Windows-1252']:
try:
vcf = io.open(filename, mode = u'rt', encoding = encoding)
vc_text = vcf.read()
vcf.close()
break
except UnicodeDecodeError:
_log.exception('vCard not encoded as [%s]', encoding)
if vc_text is None:
return None
dob_format = '%Y%m%d'
try:
vc = vobject.readOne(vc_text)
except vobject.base.ParseError:
_log.exception('cannot parse, really a vcf ?')
return None
try:
if vc.kind.value.strip() != u'individual':
_log.warning('not a vCard for a single person (vCard.KIND=%s)', vc.kind.value)
return None
except AttributeError:
_log.debug('vCard.KIND attribute not available')
dto = gmPerson.cDTO_person()
dto.firstnames = vc.n.value.given.strip()
dto.lastnames = vc.n.value.family.strip()
if vc.title:
dto.title = vc.title.value.strip()
try:
gender = vc.gender.value.strip().lower()
if gender != u'':
dto.gender = gender
except AttributeError:
_log.debug('vCard.GENDER attribute not available')
try:
dob = pyDT.datetime.strptime(vc.bday.value.strip(), dob_format)
dto.dob = dob.replace(tzinfo = gmDateTime.pydt_now_here().tzinfo)
dto.dob_is_estimated = False
except AttributeError:
_log.debug('vCard.BDAY attribute not available')
dto.source = u'vCard %s' % vc.version.value.strip()
adr = None
try:
adr = vc.adr.value
except AttributeError:
_log.debug('vCard.ADR attribute not available')
if adr is not None:
region_code = None
region = adr.region.strip()
if region == u'':
region = None
# deduce country
country_code = None
country = adr.country.strip()
if country == u'':
country = None
if country is None:
country_row = gmDemographicRecord.map_urb_zip_region2country(urb = adr.city, zip = adr.code, region = region)
if country_row is not None:
country = country_row['country']
country_code = country_row['code_country']
else:
country_code = gmDemographicRecord.map_country2code(country = country)
if None in [country, country_code]:
_log.error('unknown vCard.ADR.country (%s), skipping address', adr.country)
else:
# deduce region
if region is None:
region_row = gmDemographicRecord.map_urb_zip_country2region(urb = adr.city, zip = adr.code, country_code = country_code)
if region_row is not None:
region = region_row['state']
region_code = region_row['code_state']
else:
region_code = gmDemographicRecord.map_region2code(region = region, country_code = country_code)
if region_code is None:
_log.warning('unknown vCard.ADR.region (%s), using default region', adr.region)
dto.remember_address (
number = u'?',
street = adr.street,
urb = adr.city,
region_code = region_code,
zip = adr.code,
country_code = country_code,
adr_type = 'home',
subunit = None
)
tel = None
try:
tel = vc.tel.value
except AttributeError:
_log.debug('vCard.TEL attribute not available')
if tel is not None:
if u'TYPE' in vc.tel.params:
channel = (vc.tel.params[u'TYPE'][0]).lower()
if not channel.endswith('phone'):
channel += 'phone'
else:
channel = u'homephone'
dto.remember_comm_channel(channel = channel, url = tel)
email = None
try:
email = vc.email.value
except AttributeError:
_log.debug('vCard.EMAIL attribute not available')
if email is not None:
dto.remember_comm_channel(channel = 'email', url = email)
url = None
try:
url = vc.url.value
except AttributeError:
_log.debug('vCard.URL attribute not available')
if url is not None:
dto.remember_comm_channel(channel = 'web', url = url)
return dto
def parse_vcard2dto(vc_text=None, filename=None):
import vobject
if vc_text is None:
_log.info('trying to parse vCard from [%s]', filename)
for encoding in ['utf8', 'Windows-1252']:
try:
vcf = io.open(filename, mode='rt', encoding=encoding)
vc_text = vcf.read()
vcf.close()
break
except UnicodeDecodeError:
_log.exception('vCard not encoded as [%s]', encoding)
if vc_text is None:
return None
vcf_lines = []
found_first = False
for line in vc_text.split('\n'):
if not found_first:
if line.strip() == 'BEGIN:VCARD':
found_first = True
vcf_lines.append(line)
continue
vcf_lines.append(line)
if line.strip() == 'END:VCARD':
break
vc_text = '\n'.join(vcf_lines)
dob_format = '%Y%m%d'
try:
vc = vobject.readOne(vc_text)
except vobject.base.ParseError:
_log.exception('cannot parse, really a vcf ?')
return None
try:
if vc.kind.value.strip() != 'individual':
_log.warning('not a vCard for a single person (vCard.KIND=%s)',
vc.kind.value)
return None
except AttributeError:
_log.debug('vCard.KIND attribute not available')
dto = gmPerson.cDTO_person()
dto.firstnames = vc.n.value.given.strip()
dto.lastnames = vc.n.value.family.strip()
try:
dto.title = vc.title.value.strip()
except AttributeError:
_log.debug('vCard.TITLE attribute not available')
try:
gender = vc.gender.value.strip().lower()
if gender != '':
dto.gender = gender
except AttributeError:
_log.debug('vCard.GENDER attribute not available')
try:
dob = pyDT.datetime.strptime(vc.bday.value.strip(), dob_format)
dto.dob = dob.replace(tzinfo=gmDateTime.pydt_now_here().tzinfo)
dto.dob_is_estimated = False
except AttributeError:
_log.debug('vCard.BDAY attribute not available')
dto.source = 'vCard %s' % vc.version.value.strip()
adr = None
try:
adr = vc.adr.value
except AttributeError:
_log.debug('vCard.ADR attribute not available')
if adr is not None:
region_code = None
region = adr.region.strip()
if region == '':
region = None
# deduce country
country_code = None
country = adr.country.strip()
if country == '':
country = None
if country is None:
country_row = gmDemographicRecord.map_urb_zip_region2country(
urb=adr.city, zip=adr.code, region=region)
if country_row is not None:
country = country_row['country']
country_code = country_row['code_country']
else:
country_code = gmDemographicRecord.map_country2code(
country=country)
if None in [country, country_code]:
_log.error('unknown vCard.ADR.country (%s), skipping address',
adr.country)
else:
# deduce region
if region is None:
region_row = gmDemographicRecord.map_urb_zip_country2region(
urb=adr.city, zip=adr.code, country_code=country_code)
if region_row is not None:
region = region_row['region']
region_code = region_row['code_region']
else:
region_code = gmDemographicRecord.map_region2code(
region=region, country_code=country_code)
if region_code is None:
_log.warning(
'unknown vCard.ADR.region (%s), using default region',
adr.region)
dto.remember_address(number='?',
street=adr.street,
urb=adr.city,
region_code=region_code,
zip=adr.code,
country_code=country_code,
adr_type='home',
subunit=None)
tel = None
try:
tel = vc.tel.value
except AttributeError:
_log.debug('vCard.TEL attribute not available')
if tel is not None:
if 'TYPE' in vc.tel.params:
channel = (vc.tel.params['TYPE'][0]).lower()
if not channel.endswith('phone'):
channel += 'phone'
else:
channel = 'homephone'
dto.remember_comm_channel(channel=channel, url=tel)
email = None
try:
email = vc.email.value
except AttributeError:
_log.debug('vCard.EMAIL attribute not available')
if email is not None:
dto.remember_comm_channel(channel='email', url=email)
url = None
try:
url = vc.url.value
except AttributeError:
_log.debug('vCard.URL attribute not available')
if url is not None:
dto.remember_comm_channel(channel='web', url=url)
return dto
def read_person_from_xdt(filename=None, encoding=None, dob_format=None):
_map_id2name = {
'3101': 'lastnames',
'3102': 'firstnames',
'3103': 'dob',
'3110': 'gender',
'3106': 'zipurb',
'3107': 'street',
'3112': 'zip',
'3113': 'urb',
'8316': 'source'
}
needed_fields = ('3101', '3102')
interesting_fields = list(_map_id2name)
data = {}
# try to find encoding if not given
if encoding is None:
encoding = determine_xdt_encoding(filename=filename)
xdt_file = open(filename, mode='rt', encoding=encoding)
for line in xdt_file:
# # can't use more than what's interesting ... ;-)
# if len(data) == len(interesting_fields):
# break
line = line.replace('\015', '')
line = line.replace('\012', '')
# xDT line format: aaabbbbcccccccccccCRLF where aaa = length, bbbb = record type, cccc... = content
field = line[3:7]
# do we care about this line ?
if field in interesting_fields:
try:
data[_map_id2name[field]]
break
except KeyError:
data[_map_id2name[field]] = line[7:]
xdt_file.close()
# found enough data ?
if len(data) < len(needed_fields):
raise ValueError(
'insufficient patient data in XDT file [%s], found only: %s' %
(filename, data))
from Gnumed.business import gmPerson
dto = gmPerson.cDTO_person()
dto.firstnames = data['firstnames']
dto.lastnames = data['lastnames']
# CAVE: different data orders are possible, so configuration may be needed
# FIXME: detect xDT version and use default from the standard when dob_format is None
try:
dob = time.strptime(data['dob'],
gmTools.coalesce(dob_format, '%d%m%Y'))
dto.dob = pyDT.datetime(dob.tm_year,
dob.tm_mon,
dob.tm_mday,
tzinfo=gmDateTime.gmCurrentLocalTimezone)
except KeyError:
dto.dob = None
try:
dto.gender = gmXdtMappings.map_gender_xdt2gm[data['gender'].casefold()]
except KeyError:
dto.gender = None
dto.zip = None
try:
dto.zip = regex.match('\d{5}', data['zipurb']).group()
except KeyError:
pass
try:
dto.zip = data['zip']
except KeyError:
pass
dto.urb = None
try:
dto.urb = regex.sub('\d{5} ', '', data['zipurb'])
except KeyError:
pass
try:
dto.urb = data['urb']
except KeyError:
pass
try:
dto.street = data['street']
except KeyError:
dto.street = None
try:
dto.source = data['source']
except KeyError:
dto.source = None
return dto
def read_person_from_xdt(filename=None, encoding=None, dob_format=None):
_map_id2name = {
'3101': 'lastnames',
'3102': 'firstnames',
'3103': 'dob',
'3110': 'gender',
'3106': 'zipurb',
'3107': 'street',
'3112': 'zip',
'3113': 'urb',
'8316': 'source'
}
needed_fields = (
'3101',
'3102'
)
interesting_fields = _map_id2name.keys()
data = {}
# try to find encoding if not given
if encoding is None:
encoding = determine_xdt_encoding(filename=filename)
xdt_file = io.open(filename, mode = 'rt', encoding = encoding)
for line in xdt_file:
# # can't use more than what's interesting ... ;-)
# if len(data) == len(interesting_fields):
# break
line = line.replace('\015','')
line = line.replace('\012','')
# xDT line format: aaabbbbcccccccccccCRLF where aaa = length, bbbb = record type, cccc... = content
field = line[3:7]
# do we care about this line ?
if field in interesting_fields:
try:
already_seen = data[_map_id2name[field]]
break
except KeyError:
data[_map_id2name[field]] = line[7:]
xdt_file.close()
# found enough data ?
if len(data) < len(needed_fields):
raise ValueError('insufficient patient data in XDT file [%s], found only: %s' % (filename, data))
from Gnumed.business import gmPerson
dto = gmPerson.cDTO_person()
dto.firstnames = data['firstnames']
dto.lastnames = data['lastnames']
# CAVE: different data orders are possible, so configuration may be needed
# FIXME: detect xDT version and use default from the standard when dob_format is None
try:
dob = time.strptime(data['dob'], gmTools.coalesce(dob_format, '%d%m%Y'))
dto.dob = pyDT.datetime(dob.tm_year, dob.tm_mon, dob.tm_mday, tzinfo = gmDateTime.gmCurrentLocalTimezone)
except KeyError:
dto.dob = None
try:
dto.gender = gmXdtMappings.map_gender_xdt2gm[data['gender'].lower()]
except KeyError:
dto.gender = None
dto.zip = None
try:
dto.zip = regex.match('\d{5}', data['zipurb']).group()
except KeyError: pass
try:
dto.zip = data['zip']
except KeyError: pass
dto.urb = None
try:
dto.urb = regex.sub('\d{5} ', '', data['zipurb'])
except KeyError: pass
try:
dto.urb = data['urb']
except KeyError: pass
try:
dto.street = data['street']
except KeyError:
dto.street = None
try:
dto.source = data['source']
except KeyError:
dto.source = None
return dto
def read_persons_from_msva_file(filename=None, encoding=None): if encoding is None: encoding = MSVA_encoding pats_file = io.open(filename, mode = 'rt', encoding = encoding) dtos = [] for line in pats_file: if len(line) < MSVA_line_len: continue # perhaps raise Exception ? dto = gmPerson.cDTO_person() dto.source = 'Med.Manager/CA' dto.firstnames = '%s %s' % ( gmTools.capitalize(line[:20].strip(), gmTools.CAPS_FIRST_ONLY), # should be _NAMES gmTools.capitalize(line[20:22].strip(), gmTools.CAPS_FIRST_ONLY) # should be _NAMES ) dto.lastnames = gmTools.capitalize(line[22:47].strip(), gmTools.CAPS_FIRST_ONLY) # should be _NAMES region = line[59:61] dto.remember_external_id ( name = 'PHN (%s.CA)' % region, value = line[47:57], issuer = 'MOH (%s.CA)' % region ) dob = time.strptime(line[65:73].strip(), MSVA_dob_format) dto.dob = pyDT.datetime(dob.tm_year, dob.tm_mon, dob.tm_mday, tzinfo = gmDateTime.gmCurrentLocalTimezone) dto.gender = line[83].lower() dto.remember_external_id ( name = 'MM (CA) Chart #', value = line[84:92], issuer = 'Medical Manager (CA) application' ) # this is the home address street = '%s // %s' % ( gmTools.capitalize(line[92:117].strip(), gmTools.CAPS_FIRST), gmTools.capitalize(line[117:142].strip(), gmTools.CAPS_FIRST) ) dto.remember_address ( number = '?', street = street, urb = line[142:167], region_code = line[167:169], zip = line[169:178], country_code = 'CA' ) # channel types must correspond to GNUmed database comm type dto.remember_comm_channel(channel = 'homephone', url = line[178:188]) dto.remember_comm_channel(channel = 'workphone', url = line[188:198]) dto.remember_external_id ( name = 'Social Insurance Number', value = line[198:207], issuer = 'Canada' ) dtos.append(dto) pats_file.close() return dtos
def read_persons_from_msva_file(filename=None, encoding=None):
if encoding is None:
encoding = MSVA_encoding
pats_file = io.open(filename, mode='rt', encoding=encoding)
dtos = []
for line in pats_file:
if len(line) < MSVA_line_len:
continue # perhaps raise Exception ?
dto = gmPerson.cDTO_person()
dto.source = 'Med.Manager/CA'
dto.firstnames = '%s %s' % (
gmTools.capitalize(line[:20].strip(),
gmTools.CAPS_FIRST_ONLY), # should be _NAMES
gmTools.capitalize(line[20:22].strip(),
gmTools.CAPS_FIRST_ONLY) # should be _NAMES
)
dto.lastnames = gmTools.capitalize(
line[22:47].strip(), gmTools.CAPS_FIRST_ONLY) # should be _NAMES
region = line[59:61]
dto.remember_external_id(name='PHN (%s.CA)' % region,
value=line[47:57],
issuer='MOH (%s.CA)' % region)
dob = time.strptime(line[65:73].strip(), MSVA_dob_format)
dto.dob = pyDT.datetime(dob.tm_year,
dob.tm_mon,
dob.tm_mday,
tzinfo=gmDateTime.gmCurrentLocalTimezone)
dto.gender = line[83].casefold()
dto.remember_external_id(name='MM (CA) Chart #',
value=line[84:92],
issuer='Medical Manager (CA) application')
# this is the home address
street = '%s // %s' % (
gmTools.capitalize(line[92:117].strip(), gmTools.CAPS_FIRST),
gmTools.capitalize(line[117:142].strip(), gmTools.CAPS_FIRST))
dto.remember_address(number='?',
street=street,
urb=line[142:167],
region_code=line[167:169],
zip=line[169:178],
country_code='CA')
# channel types must correspond to GNUmed database comm type
dto.remember_comm_channel(channel='homephone', url=line[178:188])
dto.remember_comm_channel(channel='workphone', url=line[188:198])
dto.remember_external_id(name='Social Insurance Number',
value=line[198:207],
issuer='Canada')
dtos.append(dto)
pats_file.close()
return dtos
