new: update type hints (#64)

* new: update type hints

* fix: do not pass location and path to qdrant client, and do not accept them together

* new: update settings tests

* fix: revert removal of local path

src/mcp_server_qdrant/embeddings/base.py

@@ -1,17 +1,16 @@
 from abc import ABC, abstractmethod
-from typing import List
 
 
 class EmbeddingProvider(ABC):
     """Abstract base class for embedding providers."""
 
     @abstractmethod
-    async def embed_documents(self, documents: List[str]) -> List[List[float]]:
+    async def embed_documents(self, documents: list[str]) -> list[list[float]]:
         """Embed a list of documents into vectors."""
         pass
 
     @abstractmethod
-    async def embed_query(self, query: str) -> List[float]:
+    async def embed_query(self, query: str) -> list[float]:
         """Embed a query into a vector."""
         pass
 

src/mcp_server_qdrant/embeddings/fastembed.py

@@ -1,5 +1,4 @@
 import asyncio
-from typing import List
 
 from fastembed import TextEmbedding
 from fastembed.common.model_description import DenseModelDescription
@@ -17,7 +16,7 @@ class FastEmbedProvider(EmbeddingProvider):
         self.model_name = model_name
         self.embedding_model = TextEmbedding(model_name)
 
-    async def embed_documents(self, documents: List[str]) -> List[List[float]]:
+    async def embed_documents(self, documents: list[str]) -> list[list[float]]:
         """Embed a list of documents into vectors."""
         # Run in a thread pool since FastEmbed is synchronous
         loop = asyncio.get_event_loop()
@@ -26,7 +25,7 @@ class FastEmbedProvider(EmbeddingProvider):
         )
         return [embedding.tolist() for embedding in embeddings]
 
-    async def embed_query(self, query: str) -> List[float]:
+    async def embed_query(self, query: str) -> list[float]:
         """Embed a query into a vector."""
         # Run in a thread pool since FastEmbed is synchronous
         loop = asyncio.get_event_loop()