use seperate module
This commit is contained in:
5
lightrag/kg/__init__.py
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5
lightrag/kg/__init__.py
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@@ -0,0 +1,5 @@
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from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam
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__version__ = "0.0.7"
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__author__ = "Zirui Guo"
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__url__ = "https://github.com/HKUDS/LightRAG"
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278
lightrag/kg/neo4j.py
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278
lightrag/kg/neo4j.py
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@@ -0,0 +1,278 @@
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import asyncio
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import html
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import os
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from dataclasses import dataclass
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from typing import Any, Union, cast
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import networkx as nx
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import numpy as np
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from nano_vectordb import NanoVectorDB
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from .utils import load_json, logger, write_json
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from ..base import (
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BaseGraphStorage
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)
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from neo4j import GraphDatabase
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# Replace with your actual URI, username, and password
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URI = "neo4j://localhost:7687"
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USERNAME = "neo4j"
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PASSWORD = "your_password"
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# Create a driver object
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@dataclass
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class GraphStorage(BaseGraphStorage):
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@staticmethod
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def load_nx_graph(file_name) -> nx.Graph:
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if os.path.exists(file_name):
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return nx.read_graphml(file_name)
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return None
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def __post_init__(self):
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# self._graph = preloaded_graph or nx.Graph()
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self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD))
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self._node_embed_algorithms = {
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"node2vec": self._node2vec_embed,
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}
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async def index_done_callback(self):
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print ("KG successfully indexed.")
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async def has_node(self, node_id: str) -> bool:
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entity_name_label = node_id
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with self._driver.session() as session:
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return session.read_transaction(self._check_node_exists, entity_name_label)
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@staticmethod
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def _check_node_exists(tx, label):
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query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists"
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result = tx.run(query)
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return result.single()["node_exists"]
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async def has_edge(self, source_node_id: str, target_node_id: str) -> bool:
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entity_name_label_source = source_node_id
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entity_name_label_target = target_node_id
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#hard code relaitionship type
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with self._driver.session() as session:
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result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target)
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return result
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@staticmethod
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def _check_edge_existence(tx, label1, label2):
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query = (
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f"MATCH (a:{label1})-[r]-(b:{label2}) "
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"RETURN COUNT(r) > 0 AS edgeExists"
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)
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result = tx.run(query)
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return result.single()["edgeExists"]
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def close(self):
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self._driver.close()
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async def get_node(self, node_id: str) -> Union[dict, None]:
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entity_name_label = node_id
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with self._driver.session() as session:
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result = session.run("MATCH (n:{entity_name_label}) RETURN n".format(entity_name_label=entity_name_label))
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for record in result:
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return record["n"]
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async def node_degree(self, node_id: str) -> int:
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entity_name_label = node_id
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with self._driver.session() as session:
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degree = self._find_node_degree(session, entity_name_label)
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return degree
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@staticmethod
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def _find_node_degree(session, label):
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with session.begin_transaction() as tx:
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result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label))
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record = result.single()
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if record:
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return record["degree"]
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else:
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return None
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# degree = session.read_transaction(get_edge_degree, 1, 2)
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async def edge_degree(self, src_id: str, tgt_id: str) -> int:
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entity_name__label_source = src_id
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entity_name_label_target = tgt_id
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with self._driver.session() as session:
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result = session.run(
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"""MATCH (n1:{node_label1})-[r]-(n2:{node_label2})
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RETURN count(r) AS degree"""
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.format(node_label1=node_label1, node_label2=node_label2)
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)
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record = result.single()
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return record["degree"]
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async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]:
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entity_name__label_source = source_node_id
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entity_name_label_target = target_node_id
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"""
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Find all edges between nodes of two given labels
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Args:
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source_node_label (str): Label of the source nodes
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target_node_label (str): Label of the target nodes
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Returns:
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list: List of all relationships/edges found
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"""
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with self._driver.session() as session:
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query = f"""
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MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target})
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RETURN r
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"""
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result = session.run(query)
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return [record["r"] for record in result]
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#upsert_node
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async def upsert_node(self, node_id: str, node_data: dict[str, str]):
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label = node_id
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properties = node_data
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"""
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Upsert a node with the given label and properties within a transaction.
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If a node with the same label exists, it will:
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- Update existing properties with new values
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- Add new properties that don't exist
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If no node exists, creates a new node with all properties.
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Args:
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label: The node label to search for and apply
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properties: Dictionary of node properties
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Returns:
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Dictionary containing the node's properties after upsert, or None if operation fails
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"""
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with self._driver.session() as session:
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# Execute the upsert within a transaction
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result = session.execute_write(
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self._do_upsert,
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label,
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properties
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)
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return result
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@staticmethod
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def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]):
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"""
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Static method to perform the actual upsert operation within a transaction
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Args:
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tx: Neo4j transaction object
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label: The node label to search for and apply
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properties: Dictionary of node properties
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Returns:
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Dictionary containing the node's properties after upsert, or None if operation fails
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"""
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# Create the dynamic property string for SET clause
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property_string = ", ".join([
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f"n.{key} = ${key}"
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for key in properties.keys()
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])
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# Cypher query that either matches existing node or creates new one
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query = f"""
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MATCH (n:{label})
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WITH n LIMIT 1
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CALL {{
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WITH n
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WHERE n IS NOT NULL
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SET {property_string}
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RETURN n
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UNION
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WITH n
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WHERE n IS NULL
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CREATE (n:{label})
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SET {property_string}
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RETURN n
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}}
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RETURN n
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"""
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# Execute the query with properties as parameters
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result = tx.run(query, properties)
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record = result.single()
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if record:
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return dict(record["n"])
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return None
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async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None:
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source_node_label = source_node_id
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target_node_label = target_node_id
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"""
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Upsert an edge and its properties between two nodes identified by their labels.
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Args:
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source_node_label (str): Label of the source node (used as identifier)
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target_node_label (str): Label of the target node (used as identifier)
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edge_properties (dict): Dictionary of properties to set on the edge
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"""
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with self._driver.session() as session:
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session.execute_write(
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self._do_upsert_edge,
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source_node_label,
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target_node_label,
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edge_data
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)
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@staticmethod
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def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None:
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"""
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Static method to perform the edge upsert within a transaction.
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The query will:
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1. Match the source and target nodes by their labels
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2. Merge the DIRECTED relationship
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3. Set all properties on the relationship, updating existing ones and adding new ones
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"""
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# Convert edge properties to Cypher parameter string
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props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys())
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query = """
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MATCH (source)
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WHERE source.label = $source_node_label
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MATCH (target)
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WHERE target.label = $target_node_label
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MERGE (source)-[r:DIRECTED]->(target)
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SET {}
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""".format(props_string)
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# Prepare parameters dictionary
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params = {
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"source_node_label": source_node_label,
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"target_node_label": target_node_label,
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**edge_properties
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}
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# Execute the query
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tx.run(query, params)
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async def _node2vec_embed(self):
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# async def _node2vec_embed(self):
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with self._driver.session() as session:
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#Define the Cypher query
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options = self.global_config["node2vec_params"]
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query = f"""CALL gds.node2vec.stream('myGraph', {**options})
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YIELD nodeId, embedding
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RETURN nodeId, embedding"""
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# Run the query and process the results
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results = session.run(query)
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for record in results:
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node_id = record["nodeId"]
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embedding = record["embedding"]
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print(f"Node ID: {node_id}, Embedding: {embedding}")
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#need to return two lists here.
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@@ -6,6 +6,8 @@ from typing import Any, Union, cast
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import networkx as nx
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import numpy as np
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from nano_vectordb import NanoVectorDB
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from kg.neo4j import GraphStorage
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from .utils import load_json, logger, write_json
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from .base import (
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@@ -298,299 +300,3 @@ class NetworkXStorage(BaseGraphStorage):
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return embeddings, nodes_ids
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@dataclass
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class Neo4JStorage(BaseGraphStorage):
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@staticmethod
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def load_nx_graph(file_name) -> nx.Graph:
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if os.path.exists(file_name):
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return nx.read_graphml(file_name)
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return None
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# @staticmethod
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# def write_nx_graph(graph: nx.Graph, file_name):
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# logger.info(
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# f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges"
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# )
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# nx.write_graphml(graph, file_name)
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def __post_init__(self):
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self._graphml_xml_file = os.path.join(
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self.global_config["working_dir"], f"graph_{self.namespace}.graphml"
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)
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preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file)
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if preloaded_graph is not None:
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logger.info(
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f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges"
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)
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self._graph = preloaded_graph or nx.Graph()
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self._node_embed_algorithms = {
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"node2vec": self._node2vec_embed,
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}
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async def index_done_callback(self):
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print ("KG successfully indexed.")
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# Neo4JStorage.write_nx_graph(self._graph, self._graphml_xml_file)
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async def has_node(self, node_id: str) -> bool:
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entity_name_label = node_id
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with self.driver.session() as session:
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return session.read_transaction(self._check_node_exists, entity_name_label)
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@staticmethod
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def _check_node_exists(tx, label):
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query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists"
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result = tx.run(query)
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return result.single()["node_exists"]
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async def has_edge(self, source_node_id: str, target_node_id: str) -> bool:
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entity_name_label_source = source_node_id
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entity_name_label_target = target_node_id
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#hard code relaitionship type
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with self.driver.session() as session:
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result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target)
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return result
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@staticmethod
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def _check_edge_existence(tx, label1, label2):
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query = (
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f"MATCH (a:{label1})-[r]-(b:{label2}) "
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"RETURN COUNT(r) > 0 AS edgeExists"
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)
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result = tx.run(query)
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return result.single()["edgeExists"]
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def close(self):
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self.driver.close()
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async def get_node(self, node_id: str) -> Union[dict, None]:
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entity_name_label = node_id
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with driver.session() as session:
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result = session.run(
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"MATCH (n) WHERE n.name = $name RETURN n",
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name=node_name
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)
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for record in result:
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return record["n"] # Return the first matching node
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async def node_degree(self, node_id: str) -> int:
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entity_name_label = node_id
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neo4j = Neo4j("bolt://localhost:7687", "neo4j", "password")
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with neo4j.driver.session() as session:
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degree = Neo4j.find_node_degree(session, entity_name_label)
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return degree
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@staticmethod
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def find_node_degree(session, label):
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with session.begin_transaction() as tx:
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result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label))
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record = result.single()
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if record:
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return record["degree"]
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else:
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return None
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# edge_degree
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# from neo4j import GraphDatabase
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async def edge_degree(self, src_id: str, tgt_id: str) -> int:
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entity_name__label_source = src_id
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entity_name_label_target = tgt_id
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with graph_db.session() as session:
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result = session.run(
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"""MATCH (n1:{node_label1})-[r]-(n2:{node_label2})
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RETURN count(r) AS degree"""
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.format(node_label1=node_label1, node_label2=node_label2)
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)
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record = result.single()
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return record["degree"]
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# driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password"))
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#
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#
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# def edge_degree(tx, source_id, target_id):
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# result = tx.run("""
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# MATCH (source) WHERE ID(source) = $source_id
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# MATCH (target) WHERE ID(target) = $target_id
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# MATCH (source)-[r]-(target)
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# RETURN COUNT(r) AS degree
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# """, source_id=source_id, target_id=target_id)
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# return result.single()["degree"]
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# with driver.session() as session:
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# degree = session.read_transaction(get_edge_degree, 1, 2)
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# print("Degree of edge between source and target:", degree)
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async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]:
|
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entity_name__label_source = src_id
|
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entity_name_label_target = tgt_id
|
||||
"""
|
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Find all edges between nodes of two given labels
|
||||
|
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Args:
|
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source_node_label (str): Label of the source nodes
|
||||
target_node_label (str): Label of the target nodes
|
||||
|
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Returns:
|
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list: List of all relationships/edges found
|
||||
"""
|
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with self.driver.session() as session:
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query = f"""
|
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MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target})
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RETURN r
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"""
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result = session.run(query)
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return [record["r"] for record in result]
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#upsert_node
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async def upsert_node(self, node_id: str, node_data: dict[str, str]):
|
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label = node_id
|
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properties = node_data
|
||||
"""
|
||||
Upsert a node with the given label and properties within a transaction.
|
||||
If a node with the same label exists, it will:
|
||||
- Update existing properties with new values
|
||||
- Add new properties that don't exist
|
||||
If no node exists, creates a new node with all properties.
|
||||
|
||||
Args:
|
||||
label: The node label to search for and apply
|
||||
properties: Dictionary of node properties
|
||||
|
||||
Returns:
|
||||
Dictionary containing the node's properties after upsert, or None if operation fails
|
||||
"""
|
||||
with self.driver.session() as session:
|
||||
# Execute the upsert within a transaction
|
||||
result = session.execute_write(
|
||||
self._do_upsert,
|
||||
label,
|
||||
properties
|
||||
)
|
||||
return result
|
||||
|
||||
|
||||
@staticmethod
|
||||
def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]):
|
||||
"""
|
||||
Static method to perform the actual upsert operation within a transaction
|
||||
|
||||
Args:
|
||||
tx: Neo4j transaction object
|
||||
label: The node label to search for and apply
|
||||
properties: Dictionary of node properties
|
||||
|
||||
Returns:
|
||||
Dictionary containing the node's properties after upsert, or None if operation fails
|
||||
"""
|
||||
# Create the dynamic property string for SET clause
|
||||
property_string = ", ".join([
|
||||
f"n.{key} = ${key}"
|
||||
for key in properties.keys()
|
||||
])
|
||||
|
||||
# Cypher query that either matches existing node or creates new one
|
||||
query = f"""
|
||||
MATCH (n:{label})
|
||||
WITH n LIMIT 1
|
||||
CALL {{
|
||||
WITH n
|
||||
WHERE n IS NOT NULL
|
||||
SET {property_string}
|
||||
RETURN n
|
||||
UNION
|
||||
WITH n
|
||||
WHERE n IS NULL
|
||||
CREATE (n:{label})
|
||||
SET {property_string}
|
||||
RETURN n
|
||||
}}
|
||||
RETURN n
|
||||
"""
|
||||
|
||||
# Execute the query with properties as parameters
|
||||
result = tx.run(query, properties)
|
||||
record = result.single()
|
||||
|
||||
if record:
|
||||
return dict(record["n"])
|
||||
return None
|
||||
|
||||
|
||||
|
||||
async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None:
|
||||
source_node_label = source_node_id
|
||||
target_node_label = target_node_id
|
||||
"""
|
||||
Upsert an edge and its properties between two nodes identified by their labels.
|
||||
|
||||
Args:
|
||||
source_node_label (str): Label of the source node (used as identifier)
|
||||
target_node_label (str): Label of the target node (used as identifier)
|
||||
edge_properties (dict): Dictionary of properties to set on the edge
|
||||
"""
|
||||
with self._driver.session() as session:
|
||||
session.execute_write(
|
||||
self._do_upsert_edge,
|
||||
source_node_label,
|
||||
target_node_label,
|
||||
edge_data
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None:
|
||||
"""
|
||||
Static method to perform the edge upsert within a transaction.
|
||||
|
||||
The query will:
|
||||
1. Match the source and target nodes by their labels
|
||||
2. Merge the DIRECTED relationship
|
||||
3. Set all properties on the relationship, updating existing ones and adding new ones
|
||||
"""
|
||||
# Convert edge properties to Cypher parameter string
|
||||
props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys())
|
||||
|
||||
query = """
|
||||
MATCH (source)
|
||||
WHERE source.label = $source_node_label
|
||||
MATCH (target)
|
||||
WHERE target.label = $target_node_label
|
||||
MERGE (source)-[r:DIRECTED]->(target)
|
||||
SET {}
|
||||
""".format(props_string)
|
||||
|
||||
# Prepare parameters dictionary
|
||||
params = {
|
||||
"source_node_label": source_node_label,
|
||||
"target_node_label": target_node_label,
|
||||
**edge_properties
|
||||
}
|
||||
|
||||
# Execute the query
|
||||
tx.run(query, params)
|
||||
|
||||
|
||||
async def _node2vec_embed(self):
|
||||
# async def _node2vec_embed(self):
|
||||
with driver.session() as session:
|
||||
#Define the Cypher query
|
||||
options = self.global_config["node2vec_params"]
|
||||
query = f"""CALL gds.node2vec.stream('myGraph', {**options})
|
||||
YIELD nodeId, embedding
|
||||
RETURN nodeId, embedding"""
|
||||
# Run the query and process the results
|
||||
results = session.run(query)
|
||||
for record in results:
|
||||
node_id = record["nodeId"]
|
||||
embedding = record["embedding"]
|
||||
print(f"Node ID: {node_id}, Embedding: {embedding}")
|
||||
#need to return two lists here.
|
||||
|
||||
|
||||
|
||||
|
Reference in New Issue
Block a user