Cleanup

Author: murbans1

dockers/llm.rag.service/config.py

@@ -3,8 +3,6 @@
 from pydantic import Field, field_validator
 from pydantic_settings import BaseSettings
 
-WEAVIATE_HYBRID_ALPHA_DEFAULT = 0.5
-
 
 def validate_float(value):
     if type(value) == float:
@@ -17,19 +15,19 @@ def validate_float(value):
 
 class WeaviateSettings(BaseSettings):
     weaviate_uri: Optional[str] = Field(
-        None,
+        default="localhost:8080",
         alias="WEAVIATE_URI_WITH_PORT",
     )
     weaviate_grpc_uri: Optional[str] = Field(
-        None,
+        default="localhost:50051",
         alias="WEAVIATE_GRPC_URI_WITH_PORT",
     )
     weaviate_index_name: Optional[str] = Field(
-        None,
+        default="my_custom_index",
         alias="WEAVIATE_INDEX_NAME",
     )
     weaviate_hybrid_search_alpha: float = Field(
-        default=WEAVIATE_HYBRID_ALPHA_DEFAULT,
+        default=0.5,
         alias="WEAVIATE_HYBRID_ALPHA",
     )
 

dockers/llm.rag.service/serverragllm_csv_to_weaviate_local.py

@@ -132,13 +132,6 @@ def read_item(question: Union[str, None] = None):
 max_tokens = int(os.getenv("MAX_TOKENS", MAX_TOKENS_DEFAULT))
 model_temperature = float(os.getenv("MODEL_TEMPERATURE", MODEL_TEMPERATURE_DEFAULT))
 
-weaviate_url = os.getenv("WEAVIATE_URI_WITH_PORT", "localhost:8080")
-weaviate_grpc_url = os.getenv("WEAVIATE_GRPC_URI_WITH_PORT", "localhost:50051")
-weaviate_index = os.getenv("WEAVIATE_INDEX_NAME", "my_custom_index")
-alpha = float(
-    os.getenv("WEAVIATE_HYBRID_ALPHA", WEAVIATE_HYBRID_ALPHA_DEFAULT)
-)
-
 embedding_model_name = os.getenv(
     "EMBEDDING_MODEL_NAME", "sentence-transformers/all-MiniLM-L6-v2"
 )