| 27 | |
| 28 | |
| 29 | class GsFeatureStore(FeatureStore): |
| 30 | def __init__(self, config) -> None: |
| 31 | super().__init__() |
| 32 | self.config = config |
| 33 | self.tensor_attrs: Dict[Tuple[NodeType, str], TensorAttr] = {} |
| 34 | |
| 35 | assert config is not None |
| 36 | config = json.loads( |
| 37 | base64.b64decode(config.encode("utf-8", errors="ignore")).decode( |
| 38 | "utf-8", errors="ignore" |
| 39 | ) |
| 40 | ) |
| 41 | self.node_features = config["node_features"] |
| 42 | self.node_labels = config["node_labels"] |
| 43 | self.edges = config["edges"] |
| 44 | |
| 45 | assert self.node_features is not None |
| 46 | self.node_types = set() |
| 47 | for node in self.node_features: |
| 48 | self.node_types.add(node) |
| 49 | |
| 50 | for edge in self.edges: |
| 51 | self.node_types.add(edge[0]) |
| 52 | self.node_types.add(edge[-1]) |
| 53 | |
| 54 | for node_type in self.node_types: |
| 55 | self.tensor_attrs[(node_type, "x")] = TensorAttr(node_type, "x") |
| 56 | |
| 57 | assert self.node_labels is not None |
| 58 | for node_type, node_label in self.node_labels.items(): |
| 59 | self.tensor_attrs[(node_type, node_label)] = TensorAttr( |
| 60 | node_type, node_label |
| 61 | ) |
| 62 | |
| 63 | @staticmethod |
| 64 | def key(attr: TensorAttr) -> KeyType: |
| 65 | return (attr.group_name, attr.attr_name, attr.index) |
| 66 | |
| 67 | def _put_tensor(self, tensor: FeatureTensorType, attr: TensorAttr) -> bool: |
| 68 | r"""To be implemented by :class:`GsFeatureStore`.""" |
| 69 | raise NotImplementedError |
| 70 | |
| 71 | def _get_tensor(self, attr: TensorAttr) -> Optional[Tensor]: |
| 72 | r"""Obtains a :class:`torch.Tensor` from the remote server. |
| 73 | |
| 74 | Args: |
| 75 | attr(`TensorAttr`): Uniquely corresponds to a node/edge feature tensor . |
| 76 | |
| 77 | Raises: |
| 78 | ValueError: If the attr can not be found in the attrlists of feature store. |
| 79 | |
| 80 | Returns: |
| 81 | feature(`torch.Tensor`): The node/edge feature tensor. |
| 82 | """ |
| 83 | |
| 84 | group_name, attr_name, index = self.key(attr) |
| 85 | if not self._check_attr(attr): |
| 86 | raise ValueError( |