Source code for langchain_community.graphs.hugegraph

from typing import Any, Dict, List

[docs]class HugeGraph: """HugeGraph wrapper for graph operations. *Security note*: Make sure that the database connection uses credentials that are narrowly-scoped to only include necessary permissions. Failure to do so may result in data corruption or loss, since the calling code may attempt commands that would result in deletion, mutation of data if appropriately prompted or reading sensitive data if such data is present in the database. The best way to guard against such negative outcomes is to (as appropriate) limit the permissions granted to the credentials used with this tool. See for more information. """
[docs] def __init__( self, username: str = "default", password: str = "default", address: str = "", port: int = 8081, graph: str = "hugegraph", ) -> None: """Create a new HugeGraph wrapper instance.""" try: from hugegraph.connection import PyHugeGraph except ImportError: raise ImportError( "Please install HugeGraph Python client first: " "`pip3 install hugegraph-python`" ) self.username = username self.password = password self.address = address self.port = port self.graph = graph self.client = PyHugeGraph( address, port, user=username, pwd=password, graph=graph ) self.schema = "" # Set schema try: self.refresh_schema() except Exception as e: raise ValueError(f"Could not refresh schema. Error: {e}")
@property def get_schema(self) -> str: """Returns the schema of the HugeGraph database""" return self.schema
[docs] def refresh_schema(self) -> None: """ Refreshes the HugeGraph schema information. """ schema = self.client.schema() vertex_schema = schema.getVertexLabels() edge_schema = schema.getEdgeLabels() relationships = schema.getRelations() self.schema = ( f"Node properties: {vertex_schema}\n" f"Edge properties: {edge_schema}\n" f"Relationships: {relationships}\n" )
[docs] def query(self, query: str) -> List[Dict[str, Any]]: g = self.client.gremlin() res = g.exec(query) return res["data"]