improve: introduce isort for linting Python imports (#1983)

api/core/vector_store/qdrant_vector_store.py

@@ -1,10 +1,9 @@
-from typing import cast, Any
-
-from langchain.schema import Document
-from qdrant_client.http.models import Filter, PointIdsList, FilterSelector
-from qdrant_client.local.qdrant_local import QdrantLocal
+from typing import Any, cast
 
 from core.vector_store.vector.qdrant import Qdrant
+from langchain.schema import Document
+from qdrant_client.http.models import Filter, FilterSelector, PointIdsList
+from qdrant_client.local.qdrant_local import QdrantLocal
 
 
 class QdrantVectorStore(Qdrant):

api/core/vector_store/vector/milvus.py

@@ -2,11 +2,10 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Iterable, List, Optional, Tuple, Union, Sequence
+from typing import Any, Iterable, List, Optional, Sequence, Tuple, Union
 from uuid import uuid4
 
 import numpy as np
-
 from langchain.docstore.document import Document
 from langchain.embeddings.base import Embeddings
 from langchain.vectorstores.base import VectorStore
@@ -235,13 +234,7 @@ class Milvus(VectorStore):
     def _create_collection(
         self, embeddings: list, metadatas: Optional[list[dict]] = None
     ) -> None:
-        from pymilvus import (
-            Collection,
-            CollectionSchema,
-            DataType,
-            FieldSchema,
-            MilvusException,
-        )
+        from pymilvus import Collection, CollectionSchema, DataType, FieldSchema, MilvusException
         from pymilvus.orm.types import infer_dtype_bydata
 
         # Determine embedding dim

api/core/vector_store/vector/qdrant.py

@@ -7,28 +7,14 @@ import uuid
 import warnings
 from itertools import islice
 from operator import itemgetter
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Callable,
-    Dict,
-    Generator,
-    Iterable,
-    List,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
-)
+from typing import TYPE_CHECKING, Any, Callable, Dict, Generator, Iterable, List, Optional, Sequence, Tuple, Type, Union
 
 import numpy as np
-
 from langchain.docstore.document import Document
 from langchain.embeddings.base import Embeddings
 from langchain.vectorstores import VectorStore
 from langchain.vectorstores.utils import maximal_marginal_relevance
-from qdrant_client.http.models import PayloadSchemaType, FilterSelector, TextIndexParams, TokenizerType, TextIndexType
+from qdrant_client.http.models import FilterSelector, PayloadSchemaType, TextIndexParams, TextIndexType, TokenizerType
 
 if TYPE_CHECKING:
     from qdrant_client import grpc  # noqa

api/core/vector_store/vector/weaviate.py

@@ -6,7 +6,6 @@ from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Type
 from uuid import uuid4
 
 import numpy as np
-
 from langchain.docstore.document import Document
 from langchain.embeddings.base import Embeddings
 from langchain.utils import get_from_dict_or_env