Delete utils/chatbot_logic.py

utils/chatbot_logic.py

@@ -1,61 +0,0 @@
-import os
-import logging
-from utils.response_manager import ResponseManager  # Import the ResponseManager class
-
-# Vector store ID for the retrieval of knowledge base documents
-vector_store_id = os.getenv('VECTOR_STORE_ID')
-
-# Check if the VECTOR_STORE_ID environment variable is set
-if not vector_store_id:
-    logging.error("VECTOR_STORE_ID environment variable is not set.")
-    raise ValueError("VECTOR_STORE_ID environment variable is not set.")
-
-# Initialize the ResponseManager with the vector store ID
-response_manager = ResponseManager(vector_store_id)
-
-# Constants for response generation
-DEFAULT_MODEL = "gpt-4o-mini"  # Set the model to be used for response generation
-DEFAULT_TEMPERATURE = 0  # Set the temperature for response generation
-DEFAULT_MAX_OUTPUT_TOKENS = 800  # Set the maximum number of output tokens
-DEFAULT_MAX_NUM_RESULTS = 15  # Set the maximum number of knowledge base documents to return for retrieval
-
-def conversation(query: str, history: list) -> list:
-    """
-    Function to handle the chatbot interaction and maintain conversation history.
-    :param query: The user query to respond to.
-    :param history: The conversation history (list of [input, output] pairs).
-    :return: Updated conversation history.
-    """
-    logging.info("Received query: %s", query)
-    try:
-        # Validate the query
-        if not query.strip():
-            logging.warning("Empty or invalid query received.")
-            history.append((query, "Please enter a valid query."))
-            return history
-
-        # Generate a response using the ResponseManager
-        logging.info("Generating response for the query...")
-        response = response_manager.create_response(
-            query=query,
-            model=DEFAULT_MODEL,
-            temperature=DEFAULT_TEMPERATURE,
-            max_output_tokens=DEFAULT_MAX_OUTPUT_TOKENS,
-            max_num_results=DEFAULT_MAX_NUM_RESULTS
-        )
-
-        # Handle cases where no response is generated
-        if not response:
-            logging.warning("No response generated for the query.")
-            response = "Sorry, I couldn't generate a response at this time. Please try again later."
-
-        # Append the query and response to the conversation history
-        history.append((query, response))
-        logging.info("Response generated successfully.")
-        return history
-
-    except Exception as e:
-        # Log the error and append it to the conversation history
-        logging.error("An error occurred while generating a response: %s", str(e))
-        history.append((query, f"An error occurred: {str(e)}"))
-        return history