def handle_single_value(
value: Optional[FilterValue]) -> Optional[FilterValue]:
if (isinstance(value, (float, int))
and target_generic_type == utils.GenericDataType.TEMPORAL
and target_native_type is not None
and db_engine_spec is not None):
value = db_engine_spec.convert_dttm(
target_type=target_native_type,
dttm=datetime.utcfromtimestamp(value / 1000),
db_extra=db_extra,
)
value = literal_column(value)
if isinstance(value, str):
value = value.strip("\t\n")
if target_generic_type == utils.GenericDataType.NUMERIC:
# For backwards compatibility and edge cases
# where a column data type might have changed
return utils.cast_to_num(value)
if value == NULL_STRING:
return None
if value == EMPTY_STRING:
return ""
if target_generic_type == utils.GenericDataType.BOOLEAN:
return utils.cast_to_boolean(value)
return value
def handle_single_value(
value: Optional[FilterValue]) -> Optional[FilterValue]:
# backward compatibility with previous <select> components
if (isinstance(value, (float, int))
and target_column_type == utils.GenericDataType.TEMPORAL):
return datetime.utcfromtimestamp(value / 1000)
if isinstance(value, str):
value = value.strip("\t\n")
if target_column_type == utils.GenericDataType.NUMERIC:
# For backwards compatibility and edge cases
# where a column data type might have changed
return utils.cast_to_num(value)
if value == NULL_STRING:
return None
if value == EMPTY_STRING:
return ""
if target_column_type == utils.GenericDataType.BOOLEAN:
return utils.cast_to_boolean(value)
return value