[Misc] Lint code and fix code smells (#1871)

mem0/embeddings/azure_openai.py

@@ -15,14 +15,14 @@ class AzureOpenAIEmbedding(EmbeddingBase):
         azure_deployment = self.config.azure_kwargs.azure_deployment or os.getenv("EMBEDDING_AZURE_DEPLOYMENT")
         azure_endpoint = self.config.azure_kwargs.azure_endpoint or os.getenv("EMBEDDING_AZURE_ENDPOINT")
         api_version = self.config.azure_kwargs.api_version or os.getenv("EMBEDDING_AZURE_API_VERSION")
-        
+
         self.client = AzureOpenAI(
-            azure_deployment=azure_deployment, 
+            azure_deployment=azure_deployment,
             azure_endpoint=azure_endpoint,
             api_version=api_version,
             api_key=api_key,
-            http_client=self.config.http_client
-            )
+            http_client=self.config.http_client,
+        )
 
     def embed(self, text):
         """
@@ -35,8 +35,4 @@ class AzureOpenAIEmbedding(EmbeddingBase):
             list: The embedding vector.
         """
         text = text.replace("\n", " ")
-        return (
-            self.client.embeddings.create(input=[text], model=self.config.model)
-            .data[0]
-            .embedding
-        )
+        return self.client.embeddings.create(input=[text], model=self.config.model).data[0].embedding

mem0/embeddings/configs.py

@@ -8,9 +8,7 @@ class EmbedderConfig(BaseModel):
         description="Provider of the embedding model (e.g., 'ollama', 'openai')",
         default="openai",
     )
-    config: Optional[dict] = Field(
-        description="Configuration for the specific embedding model", default={}
-    )
+    config: Optional[dict] = Field(description="Configuration for the specific embedding model", default={})
 
     @field_validator("config")
     def validate_config(cls, v, values):

mem0/embeddings/ollama.py

@@ -9,7 +9,7 @@ try:
     from ollama import Client
 except ImportError:
     user_input = input("The 'ollama' library is required. Install it now? [y/N]: ")
-    if user_input.lower() == 'y':
+    if user_input.lower() == "y":
         try:
             subprocess.check_call([sys.executable, "-m", "pip", "install", "ollama"])
             from ollama import Client

mem0/embeddings/openai.py

@@ -29,8 +29,4 @@ class OpenAIEmbedding(EmbeddingBase):
             list: The embedding vector.
         """
         text = text.replace("\n", " ")
-        return (
-            self.client.embeddings.create(input=[text], model=self.config.model)
-            .data[0]
-            .embedding
-        )
+        return self.client.embeddings.create(input=[text], model=self.config.model).data[0].embedding

mem0/embeddings/vertexai.py

@@ -6,6 +6,7 @@ from vertexai.language_models import TextEmbeddingModel
 from mem0.configs.embeddings.base import BaseEmbedderConfig
 from mem0.embeddings.base import EmbeddingBase
 
+
 class VertexAI(EmbeddingBase):
     def __init__(self, config: Optional[BaseEmbedderConfig] = None):
         super().__init__(config)
@@ -34,6 +35,6 @@ class VertexAI(EmbeddingBase):
         Returns:
             list: The embedding vector.
         """
-        embeddings = self.model.get_embeddings(texts=[text], output_dimensionality= self.config.embedding_dims)
-        
+        embeddings = self.model.get_embeddings(texts=[text], output_dimensionality=self.config.embedding_dims)
+
         return embeddings[0].values