cleaned code
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@@ -96,7 +96,7 @@ class StorageNameSpace:
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class BaseVectorStorage(StorageNameSpace):
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embedding_func: EmbeddingFunc
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meta_fields: set[str] = field(default_factory=set)
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async def query(self, query: str, top_k: int) -> list[dict[str, Any]]:
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raise NotImplementedError
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@@ -132,62 +132,75 @@ class BaseKVStorage(StorageNameSpace):
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class BaseGraphStorage(StorageNameSpace):
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embedding_func: EmbeddingFunc | None = None
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"""Check if a node exists in the graph."""
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async def has_node(self, node_id: str) -> bool:
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raise NotImplementedError
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"""Check if an edge exists in the graph."""
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async def has_edge(self, source_node_id: str, target_node_id: str) -> bool:
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raise NotImplementedError
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"""Get the degree of a node."""
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async def node_degree(self, node_id: str) -> int:
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raise NotImplementedError
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"""Get the degree of an edge."""
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async def edge_degree(self, src_id: str, tgt_id: str) -> int:
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raise NotImplementedError
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"""Get a node by its id."""
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async def get_node(self, node_id: str) -> Union[dict[str, str], None]:
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raise NotImplementedError
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"""Get an edge by its source and target node ids."""
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async def get_edge(
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self, source_node_id: str, target_node_id: str
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) -> Union[dict[str, str], None]:
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raise NotImplementedError
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"""Get all edges connected to a node."""
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async def get_node_edges(
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self, source_node_id: str
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) -> Union[list[tuple[str, str]], None]:
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raise NotImplementedError
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"""Upsert a node into the graph."""
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async def upsert_node(self, node_id: str, node_data: dict[str, str]) -> None:
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raise NotImplementedError
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"""Upsert an edge into the graph."""
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async def upsert_edge(
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self, source_node_id: str,
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target_node_id: str,
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edge_data: dict[str, str]
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self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]
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) -> None:
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raise NotImplementedError
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"""Delete a node from the graph."""
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async def delete_node(self, node_id: str) -> None:
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raise NotImplementedError
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"""Embed nodes using an algorithm."""
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async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray[Any, Any], list[str]]:
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async def embed_nodes(
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self, algorithm: str
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) -> tuple[np.ndarray[Any, Any], list[str]]:
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raise NotImplementedError("Node embedding is not used in lightrag.")
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"""Get all labels in the graph."""
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async def get_all_labels(self) -> list[str]:
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raise NotImplementedError
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"""Get a knowledge graph of a node."""
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async def get_knowledge_graph(
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self, node_label: str, max_depth: int = 5
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) -> KnowledgeGraph:
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