ruff format

cognee/infrastructure/databases/graph/kuzu/adapter.py

@@ -173,7 +173,9 @@ class KuzuAdapter(GraphDBInterface):
         except FileNotFoundError:
             logger.warning(f"Kuzu S3 storage file not found: {self.db_path}")
 
-    async def query(self, query: str, params: Optional[Dict[str, Any]] = None) -> List[Tuple[Any, ...]]:
+    async def query(
+        self, query: str, params: Optional[Dict[str, Any]] = None
+    ) -> List[Tuple[Any, ...]]:
         """
         Execute a Kuzu query asynchronously with automatic reconnection.
 
@@ -320,7 +322,9 @@ class KuzuAdapter(GraphDBInterface):
         result = await self.query(query_str, {"id": node_id})
         return result[0][0] if result else False
 
-    async def add_node(self, node: Union[DataPoint, str], properties: Optional[Dict[str, Any]] = None) -> None:
+    async def add_node(
+        self, node: Union[DataPoint, str], properties: Optional[Dict[str, Any]] = None
+    ) -> None:
         """
         Add a single node to the graph if it doesn't exist.
 
@@ -343,8 +347,9 @@ class KuzuAdapter(GraphDBInterface):
                     "type": str(node_properties.get("type", "")),
                 }
                 # Use the passed properties, excluding core fields
-                other_properties = {k: v for k, v in node_properties.items() 
+                other_properties = {
-                                  if k not in ["id", "name", "type"]}
+                    k: v for k, v in node_properties.items() if k not in ["id", "name", "type"]
+                }
             else:
                 # Handle DataPoint object
                 node_properties = node.model_dump()
@@ -354,8 +359,9 @@ class KuzuAdapter(GraphDBInterface):
                     "type": str(node_properties.get("type", "")),
                 }
                 # Remove core fields from other properties
-                other_properties = {k: v for k, v in node_properties.items() 
+                other_properties = {
-                                  if k not in ["id", "name", "type"]}
+                    k: v for k, v in node_properties.items() if k not in ["id", "name", "type"]
+                }
 
             core_properties["properties"] = json.dumps(other_properties, cls=JSONEncoder)
 
@@ -593,7 +599,9 @@ class KuzuAdapter(GraphDBInterface):
         )
         return result[0][0] if result else False
 
-    async def has_edges(self, edges: List[Tuple[str, str, str, Dict[str, Any]]]) -> List[Tuple[str, str, str, Dict[str, Any]]]:
+    async def has_edges(
+        self, edges: List[Tuple[str, str, str, Dict[str, Any]]]
+    ) -> List[Tuple[str, str, str, Dict[str, Any]]]:
         """
         Check if multiple edges exist in a batch operation.
 
@@ -793,7 +801,7 @@ class KuzuAdapter(GraphDBInterface):
                     relationship_name = row[1]
                     target_node = self._parse_node_properties(row[2])
                     # TODO: any edge properties we can add? Adding empty to avoid modifying query without reason
-                    edges.append((source_node, relationship_name, target_node, {})) # type: ignore # currently each node is a dict, wihle typing expects nodes to be strings
+                    edges.append((source_node, relationship_name, target_node, {}))  # type: ignore # currently each node is a dict, wihle typing expects nodes to be strings
             return edges
         except Exception as e:
             logger.error(f"Failed to get edges for node {node_id}: {e}")
@@ -1362,8 +1370,8 @@ class KuzuAdapter(GraphDBInterface):
         try:
             # Get basic graph data
             nodes, edges = await self.get_model_independent_graph_data()
-            num_nodes = len(nodes[0]["nodes"]) if nodes else 0 # type: ignore # nodes is type string?
+            num_nodes = len(nodes[0]["nodes"]) if nodes else 0  # type: ignore # nodes is type string?
-            num_edges = len(edges[0]["elements"]) if edges else 0 # type: ignore # edges is type string?
+            num_edges = len(edges[0]["elements"]) if edges else 0  # type: ignore # edges is type string?
 
             # Calculate mandatory metrics
             mandatory_metrics = {

cognee/infrastructure/databases/graph/kuzu/remote_kuzu_adapter.py

@@ -73,13 +73,15 @@ class RemoteKuzuAdapter(KuzuAdapter):
                         status=response.status,
                         message=error_detail,
                     )
-                return await response.json() # type: ignore
+                return await response.json()  # type: ignore
         except aiohttp.ClientError as e:
             logger.error(f"API request failed: {str(e)}")
             logger.error(f"Request data: {data}")
             raise
 
-    async def query(self, query: str, params: Optional[dict[str, Any]] = None) -> List[Tuple[Any, ...]]:
+    async def query(
+        self, query: str, params: Optional[dict[str, Any]] = None
+    ) -> List[Tuple[Any, ...]]:
         """Execute a Kuzu query via the REST API."""
         try:
             # Initialize schema if needed

cognee/infrastructure/databases/graph/neo4j_driver/adapter.py

@@ -142,7 +142,9 @@ class Neo4jAdapter(GraphDBInterface):
         )
         return results[0]["node_exists"] if len(results) > 0 else False
 
-    async def add_node(self, node: Union[DataPoint, str], properties: Optional[Dict[str, Any]] = None) -> None:
+    async def add_node(
+        self, node: Union[DataPoint, str], properties: Optional[Dict[str, Any]] = None
+    ) -> None:
         """
         Add a new node to the database based on the provided DataPoint object or string ID.
 
@@ -407,7 +409,7 @@ class Neo4jAdapter(GraphDBInterface):
         )
 
         params = {
-            "from_node": str(source_id), # Adding str as callsites may still be passing UUID
+            "from_node": str(source_id),  # Adding str as callsites may still be passing UUID
             "to_node": str(target_id),
             "relationship_name": relationship_name,
             "properties": serialized_properties,
@@ -482,8 +484,8 @@ class Neo4jAdapter(GraphDBInterface):
 
         edge_params = [
             {
-                "from_node": str(edge[0]), # Adding str as callsites may still be passing UUID
+                "from_node": str(edge[0]),  # Adding str as callsites may still be passing UUID
-                "to_node": str(edge[1]), # Adding str as callsites may still be passing UUID
+                "to_node": str(edge[1]),  # Adding str as callsites may still be passing UUID
                 "relationship_name": edge[2],
                 "properties": self._flatten_edge_properties(
                     {

cognee/infrastructure/databases/vector/chromadb/ChromaDBAdapter.py

@@ -217,7 +217,9 @@ class ChromaDBAdapter(VectorDBInterface):
         collections = await self.get_collection_names()
         return collection_name in collections
 
-    async def create_collection(self, collection_name: str, payload_schema: Optional[Any] = None) -> None:
+    async def create_collection(
+        self, collection_name: str, payload_schema: Optional[Any] = None
+    ) -> None:
         """
         Create a new collection in ChromaDB if it does not already exist.
 
@@ -313,10 +315,7 @@ class ChromaDBAdapter(VectorDBInterface):
             [
                 IndexSchema(
                     id=data_point.id,
-                    text=getattr(
+                    text=getattr(data_point, data_point.metadata["index_fields"][0]),
-                        data_point, 
-                        data_point.metadata["index_fields"][0]
-                    ),
                 )
                 for data_point in data_points
                 if data_point.metadata and len(data_point.metadata["index_fields"]) > 0

cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py

@@ -4,7 +4,18 @@ from uuid import UUID
 import lancedb
 from pydantic import BaseModel
 from lancedb.pydantic import LanceModel, Vector
-from typing import Generic, List, Optional, TypeVar, Union, get_args, get_origin, get_type_hints, Dict, Any
+from typing import (
+    Generic,
+    List,
+    Optional,
+    TypeVar,
+    Union,
+    get_args,
+    get_origin,
+    get_type_hints,
+    Dict,
+    Any,
+)
 
 from cognee.infrastructure.databases.exceptions import MissingQueryParameterError
 from cognee.infrastructure.engine import DataPoint
@@ -46,7 +57,7 @@ class LanceDBAdapter(VectorDBInterface):
 
     def __init__(
         self,
-        url: Optional[str], # TODO: consider if we want to make this required and/or api_key
+        url: Optional[str],  # TODO: consider if we want to make this required and/or api_key
         api_key: Optional[str],
         embedding_engine: EmbeddingEngine,
     ):
@@ -109,7 +120,9 @@ class LanceDBAdapter(VectorDBInterface):
         collection_names = await connection.table_names()
         return collection_name in collection_names
 
-    async def create_collection(self, collection_name: str, payload_schema: Optional[Any] = None) -> None:
+    async def create_collection(
+        self, collection_name: str, payload_schema: Optional[Any] = None
+    ) -> None:
         vector_size = self.embedding_engine.get_vector_size()
 
         class LanceDataPoint(LanceModel):
@@ -123,7 +136,9 @@ class LanceDBAdapter(VectorDBInterface):
             """
 
             id: UUID
-            vector: Vector[vector_size] # TODO: double check and consider raising this later in Pydantic
+            vector: Vector[
+                vector_size
+            ]  # TODO: double check and consider raising this later in Pydantic
             payload: Dict[str, Any]
 
         if not await self.has_collection(collection_name):
@@ -300,10 +315,7 @@ class LanceDBAdapter(VectorDBInterface):
             [
                 IndexSchema(
                     id=data_point.id,
-                    text=getattr(
+                    text=getattr(data_point, data_point.metadata["index_fields"][0]),
-                        data_point, 
-                        data_point.metadata["index_fields"][0]
-                    ),
                 )
                 for data_point in data_points
                 if data_point.metadata and len(data_point.metadata.get("index_fields", [])) > 0

cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py

@@ -123,7 +123,9 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
         stop=stop_after_attempt(5),
         wait=wait_exponential(multiplier=2, min=1, max=6),
     )
-    async def create_collection(self, collection_name: str, payload_schema: Optional[Any] = None) -> None:
+    async def create_collection(
+        self, collection_name: str, payload_schema: Optional[Any] = None
+    ) -> None:
         vector_size = self.embedding_engine.get_vector_size()
 
         async with self.VECTOR_DB_LOCK:
@@ -151,7 +153,9 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
                     payload: Mapped[Dict[str, Any]] = mapped_column(JSON)
                     vector: Mapped[List[float]] = mapped_column(self.Vector(vector_size))
 
-                    def __init__(self, id: str, payload: Dict[str, Any], vector: List[float]) -> None:
+                    def __init__(
+                        self, id: str, payload: Dict[str, Any], vector: List[float]
+                    ) -> None:
                         self.id = id
                         self.payload = payload
                         self.vector = vector
@@ -159,10 +163,9 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
                 async with self.engine.begin() as connection:
                     if len(Base.metadata.tables.keys()) > 0:
                         from sqlalchemy import Table
+
                         table: Table = PGVectorDataPoint.__table__  # type: ignore
-                        await connection.run_sync(
+                        await connection.run_sync(Base.metadata.create_all, tables=[table])
-                            Base.metadata.create_all, tables=[table]
-                        )
 
     @retry(
         retry=retry_if_exception_type(DeadlockDetectedError),
@@ -351,11 +354,7 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
 
         # Create and return ScoredResult objects
         return [
-            ScoredResult(
+            ScoredResult(id=row["id"], payload=row["payload"] or {}, score=row["score"])
-                id=row["id"], 
-                payload=row["payload"] or {}, 
-                score=row["score"]
-            )
             for row in vector_list
         ]