def __init__(self, path):
# type: (str) -> None
self.path = path
storage_path, file_name = os.path.split(path)
self.storage_manager = HDF5StorageManager(storage_path, file_name)
# would be nice to have an opened state for the chunked api instead of the close_file=False
# common scalar headers
self.gid = Uuid(HasTraits.gid, self)
self.written_by = Scalar(Attr(str), self, name=self.KEY_WRITTEN_BY)
self.create_date = Scalar(Attr(str), self, name='create_date')
self.type = Scalar(Attr(str), self, name='type')
# Generic attributes descriptors
self.generic_attributes = GenericAttributes()
self.invalid = Scalar(Attr(bool), self, name='invalid')
self.is_nan = Scalar(Attr(bool), self, name='is_nan')
self.subject = Scalar(Attr(str), self, name='subject')
self.state = Scalar(Attr(str), self, name='state')
self.user_tag_1 = Scalar(Attr(str), self, name='user_tag_1')
self.user_tag_2 = Scalar(Attr(str), self, name='user_tag_2')
self.user_tag_3 = Scalar(Attr(str), self, name='user_tag_3')
self.user_tag_4 = Scalar(Attr(str), self, name='user_tag_4')
self.user_tag_5 = Scalar(Attr(str), self, name='user_tag_5')
self.operation_tag = Scalar(Attr(str, required=False), self, name='operation_tag')
self.parent_burst = Uuid(Attr(uuid.UUID, required=False), self, name='parent_burst')
self.visible = Scalar(Attr(bool), self, name='visible')
self.metadata_cache = None
if not self.storage_manager.is_valid_hdf5_file():
self.written_by.store(self.__class__.__module__ + '.' + self.__class__.__name__)
self.is_new_file = True
def _generate_accessors(self, view_model_fields):
for attr_name in view_model_fields:
attr = getattr(self.view_model, attr_name)
if not issubclass(type(attr), Attr):
raise ValueError('expected a Attr, got a {}'.format(
type(attr)))
if isinstance(attr, DataTypeGidAttr):
ref = Uuid(attr, self)
elif isinstance(attr, NArray):
ref = DataSet(attr, self)
elif isinstance(attr, List):
ref = Json(attr, self)
elif issubclass(type(attr), Attr):
if attr.field_type is scipy.sparse.spmatrix:
ref = SparseMatrix(attr, self)
elif attr.field_type is uuid.UUID:
ref = Uuid(attr, self)
elif issubclass(attr.field_type, Equation):
ref = EquationScalar(attr, self)
elif attr.field_type is Range:
ref = JsonRange(attr, self)
else:
ref = Scalar(attr, self)
setattr(self, attr.field_name, ref)
def _generate_accessors(self, view_model_fields):
for attr_name in view_model_fields:
attr = getattr(self.view_model, attr_name)
if not issubclass(type(attr), Attr):
raise ValueError('expected a Attr, got a {}'.format(type(attr)))
if isinstance(attr, DataTypeGidAttr):
ref = Uuid(attr, self)
elif isinstance(attr, NArray):
ref = DataSet(attr, self)
elif isinstance(attr, List):
if issubclass(attr.element_type, HasTraits):
ref = ReferenceList(attr, self)
else:
ref = Json(attr, self)
elif issubclass(type(attr), Attr):
if attr.field_type is scipy.sparse.spmatrix:
ref = SparseMatrix(attr, self)
elif attr.field_type is numpy.random.RandomState:
continue
elif attr.field_type is uuid.UUID:
ref = Uuid(attr, self)
elif issubclass(attr.field_type, Equation):
ref = EquationScalar(attr, self)
elif attr.field_type is Range:
ref = JsonRange(attr, self)
elif isinstance(attr, Final) and attr.field_type == dict:
ref = JsonFinal(attr, self)
elif issubclass(attr.field_type, HasTraits):
ref = Reference(attr, self)
else:
ref = Scalar(attr, self)
else:
ref = Accessor(attr, self)
setattr(self, attr.field_name, ref)