def extract_age(metadata: dict) -> Optional[models.PropertyValue]:
try:
dob = ensure_datetime(metadata["date_of_birth"])
start = ensure_datetime(metadata["session_start_time"])
except (KeyError, TypeError, ValueError):
if metadata.get("age") is not None:
duration, ref = parse_age(metadata["age"])
else:
return None
else:
duration, ref = timedelta2duration(start - dob), "Birth"
return models.PropertyValue(
value=duration,
unitText="ISO-8601 duration",
valueReference=models.PropertyValue(
value=getattr(models.AgeReferenceType, f"{ref}Reference")),
)
def extract_age(metadata):
try:
dob = ensure_datetime(metadata["date_of_birth"])
start = ensure_datetime(metadata["session_start_time"])
except (KeyError, TypeError, ValueError):
try:
duration = parse_age(metadata["age"])
except (KeyError, TypeError, ValueError):
return ...
else:
duration = timedelta2duration(start - dob)
return models.PropertyValue(value=duration, unitText="Years from birth")
def process_ndtypes(metadata: Dict[str, Any], nd_types: Iterable[str]) -> None:
approach = set()
technique = set()
variables = set()
for val in nd_types:
val = val.split()[0]
if val not in neurodata_typemap:
continue
if neurodata_typemap[val]["approach"]:
approach.add(neurodata_typemap[val]["approach"])
if neurodata_typemap[val]["technique"]:
technique.add(neurodata_typemap[val]["technique"])
variables.add(val)
metadata["approach"] = [models.ApproachType(name=val) for val in approach]
metadata["measurementTechnique"] = [
models.MeasurementTechniqueType(name=val) for val in technique
]
metadata["variableMeasured"] = [
models.PropertyValue(value=val) for val in variables
]
def process_ndtypes(asset, nd_types):
approach = set()
technique = set()
variables = set()
for val in nd_types:
if val not in neurodata_typemap:
continue
if neurodata_typemap[val]["approach"]:
approach.add(neurodata_typemap[val]["approach"])
if neurodata_typemap[val]["technique"]:
technique.add(neurodata_typemap[val]["technique"])
variables.add(val)
asset.approach = [models.ApproachType(name=val) for val in approach]
asset.measurementTechnique = [
models.MeasurementTechniqueType(name=val) for val in technique
]
asset.variableMeasured = [
models.PropertyValue(value=val) for val in variables
]
return asset
