cognee/cognee/infrastructure/databases/graph/get_graph_engine.py
hajdul88 82c0279f45
Fix: adds and invokes Neo4jAdapter initialize for schema setup (#933)
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## Description
adds and invokes Neo4jAdapter initialize for schema setup

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
2025-06-09 13:40:30 +02:00

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Python
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"""Factory function to get the appropriate graph client based on the graph type."""
from functools import lru_cache
from .config import get_graph_context_config
from .graph_db_interface import GraphDBInterface
from .supported_databases import supported_databases
async def get_graph_engine() -> GraphDBInterface:
"""Factory function to get the appropriate graph client based on the graph type."""
# Get appropriate graph configuration based on current async context
config = get_graph_context_config()
graph_client = create_graph_engine(**config)
# Async functions can't be cached. After creating and caching the graph engine
# handle all necessary async operations for different graph types bellow.
# Run any adapterspecific async initialization
if hasattr(graph_client, "initialize"):
await graph_client.initialize()
# Handle loading of graph for NetworkX
if config["graph_database_provider"].lower() == "networkx" and graph_client.graph is None:
await graph_client.load_graph_from_file()
return graph_client
@lru_cache
def create_graph_engine(
graph_database_provider,
graph_file_path,
graph_database_url="",
graph_database_username="",
graph_database_password="",
graph_database_port="",
):
"""
Create a graph engine based on the specified provider type.
This factory function initializes and returns the appropriate graph client depending on
the database provider specified. It validates required parameters and raises an
EnvironmentError if any are missing for the respective provider implementations.
Parameters:
-----------
- graph_database_provider: The type of graph database provider to use (e.g., neo4j,
falkordb, kuzu, memgraph).
- graph_database_url: The URL for the graph database instance. Required for neo4j,
falkordb, and memgraph providers.
- graph_database_username: The username for authentication with the graph database.
Required for neo4j and memgraph providers.
- graph_database_password: The password for authentication with the graph database.
Required for neo4j and memgraph providers.
- graph_database_port: The port number for the graph database connection. Required
for the falkordb provider.
- graph_file_path: The filesystem path to the graph file. Required for the kuzu
provider.
Returns:
--------
Returns an instance of the appropriate graph adapter depending on the provider type
specified.
"""
if graph_database_provider in supported_databases:
adapter = supported_databases[graph_database_provider]
return adapter(
graph_database_url=graph_database_url,
graph_database_username=graph_database_username,
graph_database_password=graph_database_password,
)
if graph_database_provider == "neo4j":
if not (graph_database_url and graph_database_username and graph_database_password):
raise EnvironmentError("Missing required Neo4j credentials.")
from .neo4j_driver.adapter import Neo4jAdapter
return Neo4jAdapter(
graph_database_url=graph_database_url,
graph_database_username=graph_database_username,
graph_database_password=graph_database_password,
)
elif graph_database_provider == "falkordb":
if not (graph_database_url and graph_database_port):
raise EnvironmentError("Missing required FalkorDB credentials.")
from cognee.infrastructure.databases.vector.embeddings import get_embedding_engine
from cognee.infrastructure.databases.hybrid.falkordb.FalkorDBAdapter import FalkorDBAdapter
embedding_engine = get_embedding_engine()
return FalkorDBAdapter(
database_url=graph_database_url,
database_port=graph_database_port,
embedding_engine=embedding_engine,
)
elif graph_database_provider == "kuzu":
if not graph_file_path:
raise EnvironmentError("Missing required Kuzu database path.")
from .kuzu.adapter import KuzuAdapter
return KuzuAdapter(db_path=graph_file_path)
elif graph_database_provider == "memgraph":
if not (graph_database_url and graph_database_username and graph_database_password):
raise EnvironmentError("Missing required Memgraph credentials.")
from .memgraph.memgraph_adapter import MemgraphAdapter
return MemgraphAdapter(
graph_database_url=graph_database_url,
graph_database_username=graph_database_username,
graph_database_password=graph_database_password,
)
from .networkx.adapter import NetworkXAdapter
graph_client = NetworkXAdapter(filename=graph_file_path)
return graph_client