feat: Add singleton way of working to graph databases

Added signleton type of functioning to graph databases

Feature
This commit is contained in:
Igor Ilic 2024-11-28 22:15:53 +01:00
parent be6eebfbb1
commit be5cb86cb2

View file

@ -1,44 +1,58 @@
"""Factory function to get the appropriate graph client based on the graph type."""
from functools import lru_cache
from .config import get_graph_config
from .graph_db_interface import GraphDBInterface
async def get_graph_engine() -> GraphDBInterface :
async def get_graph_engine() -> GraphDBInterface:
"""Factory function to get the appropriate graph client based on the graph type."""
graph_client = create_graph_engine()
# Async functions can't be cached. After creating and caching the graph engine
# handle all necessary async operations for different graph types bellow.
config = get_graph_config()
# 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() -> GraphDBInterface:
"""Factory function to create the appropriate graph client based on the graph type."""
config = get_graph_config()
if config.graph_database_provider == "neo4j":
if not (config.graph_database_url and config.graph_database_username and config.graph_database_password):
raise EnvironmentError("Missing required Neo4j credentials.")
from .neo4j_driver.adapter import Neo4jAdapter
return Neo4jAdapter(
graph_database_url = config.graph_database_url,
graph_database_username = config.graph_database_username,
graph_database_password = config.graph_database_password
graph_database_url=config.graph_database_url,
graph_database_username=config.graph_database_username,
graph_database_password=config.graph_database_password
)
elif config.graph_database_provider == "falkordb":
if not (config.graph_database_url and config.graph_database_username and config.graph_database_password):
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 = config.graph_database_url,
database_port = config.graph_database_port,
embedding_engine = embedding_engine,
database_url=config.graph_database_url,
database_port=config.graph_database_port,
embedding_engine=embedding_engine,
)
from .networkx.adapter import NetworkXAdapter
graph_client = NetworkXAdapter(filename = config.graph_file_path)
if graph_client.graph is None:
await graph_client.load_graph_from_file()
graph_client = NetworkXAdapter(filename=config.graph_file_path)
return graph_client