Updates to the configs

cognee/api/v1/cognify/cognify.py

@@ -6,6 +6,7 @@ import nltk
 from nltk.corpus import stopwords
 from cognee.config import Config
 from cognee.infrastructure.data.chunking.LangchainChunkingEngine import LangchainChunkEngine
+from cognee.infrastructure.databases.graph.config import get_graph_config
 from cognee.infrastructure.databases.vector.embeddings.DefaultEmbeddingEngine import LiteLLMEmbeddingEngine
 from cognee.modules.cognify.graph.add_node_connections import group_nodes_by_layer, \
     graph_ready_output, connect_nodes_in_graph
@@ -29,7 +30,7 @@ from cognee.shared.data_models import ChunkStrategy, KnowledgeGraph
 from cognee.utils import send_telemetry
 from cognee.modules.tasks import create_task_status_table, update_task_status
 from cognee.shared.SourceCodeGraph import SourceCodeGraph
-
+graph_config = get_graph_config()
 config = Config()
 config.load()
 
@@ -161,7 +162,7 @@ async def cognify(datasets: Union[str, List[str]] = None):
 async def process_text(chunk_collection: str, chunk_id: str, input_text: str, file_metadata: dict, document_id: str):
     print(f"Processing chunk ({chunk_id}) from document ({file_metadata['id']}).")
 
-    graph_client = await get_graph_client(infrastructure_config.get_config()["graph_engine"])
+    graph_client = await get_graph_client(graph_config.graph_engine)
 
     graph_topology = infrastructure_config.get_config()["graph_model"]
     if graph_topology == SourceCodeGraph:

cognee/infrastructure/InfrastructureConfig.py

@@ -17,7 +17,8 @@ logging.basicConfig(level=logging.DEBUG)
 config = Config()
 config.load()
 from cognee.infrastructure.databases.relational.config import get_relationaldb_config
-
+from cognee.infrastructure.databases.vector.config import get_vectordb_config
+vector_db_config = get_vectordb_config()
 relational = get_relationaldb_config()
 chunk_config = get_chunk_config()
 class InfrastructureConfig():
@@ -135,17 +136,8 @@ class InfrastructureConfig():
                     )
                     self.vector_engine_choice = "qdrant"
                 else:
-                    from .databases.vector.lancedb.LanceDBAdapter import LanceDBAdapter
+                    self.vector_engine = vector_db_config.vector_engine
-                    config.load()
+                    self.vector_engine_choice = vector_db_config.vector_engine_choice
-                    lance_db_path = self.database_directory_path + "/cognee.lancedb"
-                    LocalStorage.ensure_directory_exists(lance_db_path)
-
-                    self.vector_engine = LanceDBAdapter(
-                        url = lance_db_path,
-                        api_key = None,
-                        embedding_engine = self.embedding_engine,
-                    )
-                    self.vector_engine_choice = "lancedb"
 
         if config_entity is not None:
             return getattr(self, config_entity)

cognee/infrastructure/databases/graph/config.py

@@ -3,8 +3,9 @@ import os
 from functools import lru_cache
 from pydantic_settings import BaseSettings, SettingsConfigDict
 from cognee.base_config import get_base_config
+from cognee.infrastructure.databases.relational.config import get_relationaldb_config
 from cognee.shared.data_models import DefaultGraphModel, GraphDBType
-
+relational_config = get_relationaldb_config()
 base_config = get_base_config()
 
 class GraphConfig(BaseSettings):
@@ -15,7 +16,7 @@ class GraphConfig(BaseSettings):
     graph_database_username: str = ""
     graph_database_password: str = ""
     graph_database_port: int = ""
-    graph_file_path: str = os.path.join(base_config.database_directory_path,graph_filename)
+    graph_file_path: str = os.path.join(relational_config.database_directory_path,graph_filename)
     graph_engine: object =  GraphDBType.NETWORKX
     graph_model: object = DefaultGraphModel
 

cognee/infrastructure/databases/relational/config.py

@@ -16,6 +16,7 @@ class RelationalConfig(BaseSettings):
         db_name=db_name,
         db_path=db_path
     )
+    database_directory_path: str = os.path.join(config.system_root_directory,"databases")
 
     model_config = SettingsConfigDict(env_file = ".env", extra = "allow")