def reduce_content_size(self, content):
to_delete = []
for key, value in iteritems(content):
if value is not None:
if value['type'] in ('sequence',
'choice') and value.get('content'):
try:
new_value = (value['type'],
tuple((x['ref'], (x.get('min', 0),
x.get('max', -1)))
for x in value['content']))
except:
new_value = None
elif value['type'] == 'annotation':
new_value = ('leaf', value['datatype'],
value.get('libraryLongName'),
value.get('table'))
else:
new_value = None
if new_value is None:
to_delete.append(key)
else:
content[key] = new_value
for k in to_delete:
del content[k]
def parse_datatypes(self):
"""
Parses the datatypes.xsd file found in the input_path and stores
the results in the datatypes.py module.
"""
parse_res = self.parse_schema("datatypes.xsd")
content, types = parse_res[0], parse_res[2]
content.update(types)
content = {k: v for k, v in iteritems(content) if not k.endswith("_CONTENT")}
self.generate_module("datatypes.py", content)
def parse_datatypes(self):
"""
Parses the datatypes.xsd file found in the input_path and stores
the results in the datatypes.py module.
"""
parse_res = self.parse_schema("datatypes.xsd")
content, types = parse_res[0], parse_res[2]
content.update(types)
content = {
k: v
for k, v in iteritems(content) if not k.endswith("_CONTENT")
}
self.generate_module("datatypes.py", content)
def parse_messages(self):
"""
Retrieves XSD files list from messages.xsd for parsing and stores
all the results in the messages.py module.
"""
parse_res = self.parse_schema("messages.xsd")
content, includes = parse_res[0], parse_res[1]
message_files = includes
message_def = {}
groups = {}
for f in message_files: # each file describes an HL7 message
message, ext = os.path.splitext(f)
content = self.parse_schema(f)[0]
message_def[message] = content[message.upper()]
groups.update(g for g in iteritems(content) if g[0] != message)
self.generate_module("messages.py", message_def)
self.generate_module("groups.py", groups)
def parse_messages(self):
"""
Retrieves XSD files list from messages.xsd for parsing and stores
all the results in the messages.py module.
"""
parse_res = self.parse_schema("messages.xsd")
content, includes = parse_res[0], parse_res[1]
message_files = includes
message_def = {}
groups = {}
for f in message_files: # each file describes an HL7 message
message, ext = os.path.splitext(f)
content = self.parse_schema(f)[0]
message_def[message] = content[message.upper()]
groups.update(g for g in iteritems(content) if g[0] != message)
self.generate_module("messages.py", message_def)
self.generate_module("groups.py", groups)
def reduce_content_size(self, content):
to_delete = []
for key, value in iteritems(content):
if value is not None:
if value['type'] in ('sequence', 'choice') and value.get('content'):
try:
new_value = (value['type'],
tuple((x['ref'], (x.get('min', 0), x.get('max', -1))) for x in value['content']))
except:
new_value = None
elif value['type'] == 'annotation':
new_value = ('leaf', value['datatype'], value.get('libraryLongName'), value.get('table'))
else:
new_value = None
if new_value is None:
to_delete.append(key)
else:
content[key] = new_value
for k in to_delete:
del content[k]
('PN_3', DATATYPES['PN_3'], (0, 1), 'CMP'),
('PN_4', DATATYPES['PN_4'], (0, 1), 'CMP'),
('PN_5', DATATYPES['PN_5'], (0, 1), 'CMP'),
('PN_6', DATATYPES['PN_6'], (0, 1), 'CMP'),
),
'RI': (
('RI_1', DATATYPES['RI_1'], (0, 1), 'CMP'),
('RI_2', DATATYPES['RI_2'], (0, 1), 'CMP'),
),
'TQ': (
('TQ_1', DATATYPES['TQ_1'], (0, 1), 'CMP'),
('TQ_2', DATATYPES['TQ_2'], (0, 1), 'CMP'),
('TQ_3', DATATYPES['TQ_3'], (0, 1), 'CMP'),
('TQ_4', DATATYPES['TQ_4'], (0, 1), 'CMP'),
('TQ_5', DATATYPES['TQ_5'], (0, 1), 'CMP'),
('TQ_6', DATATYPES['TQ_6'], (0, 1), 'CMP'),
('TQ_7', DATATYPES['TQ_7'], (0, 1), 'CMP'),
('TQ_8', DATATYPES['TQ_8'], (0, 1), 'CMP'),
('TQ_9', DATATYPES['TQ_9'], (0, 1), 'CMP'),
('TQ_10', DATATYPES['TQ_10'], (0, 1), 'CMP'),
),
'TS': (
('TS_1', DATATYPES['TS_1'], (0, 1), 'CMP'),
('TS_2', DATATYPES['TS_2'], (0, 1), 'CMP'),
),
}
for k, v in iteritems(DATATYPES):
if v[0] == 'sequence':
v[1] = DATATYPES_STRUCTS[v[2]]
)),
'ORU_R01_PATIENT_RESULT': ('sequence', (
['ORU_R01_PATIENT', None, (0, 1), 'GRP'],
['ORU_R01_ORDER_OBSERVATION', None, (1, -1), 'GRP'],
)),
'ORU_R03_OBSERVATION': ('sequence', (
['OBX', None, (0, 1), 'SEG'],
['NTE', None, (0, -1), 'SEG'],
)),
'ORU_R03_ORDER_OBSERVATION': ('sequence', (
['ORC', None, (0, 1), 'SEG'],
['OBR', None, (1, 1), 'SEG'],
['NTE', None, (0, -1), 'SEG'],
['ORU_R03_OBSERVATION', None, (1, -1), 'GRP'],
)),
'ORU_R03_PATIENT': ('sequence', (
['PID', None, (1, 1), 'SEG'],
['NTE', None, (0, -1), 'SEG'],
['PV1', None, (0, 1), 'SEG'],
)),
'ORU_R03_PATIENT_RESULT': ('sequence', (
['ORU_R03_PATIENT', None, (0, 1), 'GRP'],
['ORU_R03_ORDER_OBSERVATION', None, (1, -1), 'GRP'],
)),
}
for k, v in iteritems(GROUPS):
for item in v[1]:
if item[3] == 'GRP':
item[1] = GROUPS[item[0]]
'ORR_O02_ORDER': ('sequence',
(['ORC', SEGMENTS['ORC'], (1, 1), 'SEG'],
['ORR_O02_ORDER_DETAIL', None, (0, 1), 'GRP'],
['NTE', SEGMENTS['NTE'], (0, -1), 'SEG'],)),
'ORR_O02_ORDER_DETAIL': ('sequence',
(['ORR_O02_CHOICE', None, (1, 1), 'GRP'],)),
'ORR_O02_PATIENT': ('sequence',
(['PID', SEGMENTS['PID'], (0, 1), 'SEG'],
['NTE', SEGMENTS['NTE'], (0, -1), 'SEG'],
['ORR_O02_ORDER', None, (1, -1), 'GRP'],)),
'ORU_R01_OBSERVATION': ('sequence',
(['OBX', SEGMENTS['OBX'], (0, 1), 'SEG'],
['NTE', SEGMENTS['NTE'], (0, -1), 'SEG'],)),
'ORU_R01_ORDER_OBSERVATION': ('sequence',
(['ORC', SEGMENTS['ORC'], (0, 1), 'SEG'],
['OBR', SEGMENTS['OBR'], (1, 1), 'SEG'],
['NTE', SEGMENTS['NTE'], (0, -1), 'SEG'],
['ORU_R01_OBSERVATION', None, (1, -1), 'GRP'],)),
'ORU_R01_PATIENT': ('sequence',
(['PID', SEGMENTS['PID'], (1, 1), 'SEG'],
['NTE', SEGMENTS['NTE'], (0, -1), 'SEG'],
['PV1', SEGMENTS['PV1'], (0, 1), 'SEG'],)),
'ORU_R01_PATIENT_RESULT': ('sequence',
(['ORU_R01_PATIENT', None, (0, 1), 'GRP'],
['ORU_R01_ORDER_OBSERVATION', None, (1, -1), 'GRP'],)),
}
for k, v in iteritems(GROUPS):
for item in v[1]:
if item[3] == 'GRP':
item[1] = GROUPS[item[0]]
('XON_4', DATATYPES['XON_4'], (0, 1), 'CMP'),
('XON_5', DATATYPES['XON_5'], (0, 1), 'CMP'),
('XON_6', DATATYPES['XON_6'], (0, 1), 'CMP'),
('XON_7', DATATYPES['XON_7'], (0, 1), 'CMP'),
('XON_8', DATATYPES['XON_8'], (0, 1), 'CMP'),
('XON_9', DATATYPES['XON_9'], (0, 1), 'CMP'),),
'XPN': (
('XPN_1', DATATYPES['XPN_1'], (0, 1), 'CMP'),
('XPN_2', DATATYPES['XPN_2'], (0, 1), 'CMP'),
('XPN_3', DATATYPES['XPN_3'], (0, 1), 'CMP'),
('XPN_4', DATATYPES['XPN_4'], (0, 1), 'CMP'),
('XPN_5', DATATYPES['XPN_5'], (0, 1), 'CMP'),
('XPN_6', DATATYPES['XPN_6'], (0, 1), 'CMP'),
('XPN_7', DATATYPES['XPN_7'], (0, 1), 'CMP'),
('XPN_8', DATATYPES['XPN_8'], (0, 1), 'CMP'),),
'XTN': (
('XTN_1', DATATYPES['XTN_1'], (0, 1), 'CMP'),
('XTN_2', DATATYPES['XTN_2'], (0, 1), 'CMP'),
('XTN_3', DATATYPES['XTN_3'], (0, 1), 'CMP'),
('XTN_4', DATATYPES['XTN_4'], (0, 1), 'CMP'),
('XTN_5', DATATYPES['XTN_5'], (0, 1), 'CMP'),
('XTN_6', DATATYPES['XTN_6'], (0, 1), 'CMP'),
('XTN_7', DATATYPES['XTN_7'], (0, 1), 'CMP'),
('XTN_8', DATATYPES['XTN_8'], (0, 1), 'CMP'),
('XTN_9', DATATYPES['XTN_9'], (0, 1), 'CMP'),),
}
for k, v in iteritems(DATATYPES):
if v[0] == 'sequence':
v[1] = DATATYPES_STRUCTS[v[2]]