def _normalize_cursor(self, cursor, orders): """Helper: convert cursor to a list of values based on orders.""" if cursor is None: return if not orders: raise ValueError(_NO_ORDERS_FOR_CURSOR) document_fields, before = cursor order_keys = [order.field.field_path for order in orders] if isinstance(document_fields, document.DocumentSnapshot): snapshot = document_fields document_fields = snapshot.to_dict() document_fields["__name__"] = snapshot.reference if isinstance(document_fields, dict): # Transform to list using orders values = [] data = document_fields for order_key in order_keys: try: values.append( field_path_module.get_nested_value(order_key, data)) except KeyError: msg = _MISSING_ORDER_BY.format(order_key, data) raise ValueError(msg) document_fields = values if len(document_fields) != len(orders): msg = _MISMATCH_CURSOR_W_ORDER_BY.format(document_fields, order_keys) raise ValueError(msg) _transform_bases = (transforms.Sentinel, transforms._ValueList) for index, key_field in enumerate(zip(order_keys, document_fields)): key, field = key_field if isinstance(field, _transform_bases): msg = _INVALID_CURSOR_TRANSFORM raise ValueError(msg) if key == "__name__" and isinstance(field, six.string_types): document_fields[index] = self._parent.document(field) return document_fields, before
def _normalize_cursor(self, cursor, orders): """Helper: convert cursor to a list of values based on orders.""" if cursor is None: return if not orders: raise ValueError(_NO_ORDERS_FOR_CURSOR) document_fields, before = cursor order_keys = [order.field.field_path for order in orders] if isinstance(document_fields, document.DocumentSnapshot): snapshot = document_fields document_fields = snapshot.to_dict() document_fields["__name__"] = snapshot.reference if isinstance(document_fields, dict): # Transform to list using orders values = [] data = document_fields for order_key in order_keys: try: values.append(field_path_module.get_nested_value(order_key, data)) except KeyError: msg = _MISSING_ORDER_BY.format(order_key, data) raise ValueError(msg) document_fields = values if len(document_fields) != len(orders): msg = _MISMATCH_CURSOR_W_ORDER_BY.format(document_fields, order_keys) raise ValueError(msg) _transform_bases = (transforms.Sentinel, transforms._ValueList) for index, key_field in enumerate(zip(order_keys, document_fields)): key, field = key_field if isinstance(field, _transform_bases): msg = _INVALID_CURSOR_TRANSFORM raise ValueError(msg) if key == "__name__" and isinstance(field, six.string_types): document_fields[index] = self._parent.document(field) return document_fields, before
def get(self, field_path): """Get a value from the snapshot data. If the data is nested, for example: .. code-block:: python >>> snapshot.to_dict() { 'top1': { 'middle2': { 'bottom3': 20, 'bottom4': 22, }, 'middle5': True, }, 'top6': b'\x00\x01 foo', } a **field path** can be used to access the nested data. For example: .. code-block:: python >>> snapshot.get('top1') { 'middle2': { 'bottom3': 20, 'bottom4': 22, }, 'middle5': True, } >>> snapshot.get('top1.middle2') { 'bottom3': 20, 'bottom4': 22, } >>> snapshot.get('top1.middle2.bottom3') 20 See :meth:`~.firestore_v1beta1.client.Client.field_path` for more information on **field paths**. A copy is returned since the data may contain mutable values, but the data stored in the snapshot must remain immutable. Args: field_path (str): A field path (``.``-delimited list of field names). Returns: Any or None: (A copy of) the value stored for the ``field_path`` or None if snapshot document does not exist. Raises: KeyError: If the ``field_path`` does not match nested data in the snapshot. """ if not self._exists: return None nested_data = field_path_module.get_nested_value(field_path, self._data) return copy.deepcopy(nested_data)
def _call_fut(path, data): from google.cloud.firestore_v1beta1 import field_path return field_path.get_nested_value(path, data)
def _call_fut(path, data): from google.cloud.firestore_v1beta1 import field_path return field_path.get_nested_value(path, data)