# RAG_QA_Chat.py # Description: Functions supporting the RAG QA Chat functionality # # Imports # # # External Imports import json import logging import tempfile import time from typing import List, Tuple, IO, Union # # Local Imports from App_Function_Libraries.DB.DB_Manager import db, search_db, DatabaseError, get_media_content from App_Function_Libraries.RAG.RAG_Library_2 import generate_answer, enhanced_rag_pipeline from App_Function_Libraries.Metrics.metrics_logger import log_counter, log_histogram # ######################################################################################################################## # # Functions: def rag_qa_chat(query, history, context, api_choice, keywords=None, apply_re_ranking=False): log_counter("rag_qa_chat_attempt", labels={"api_choice": api_choice}) start_time = time.time() try: if isinstance(context, str): log_counter("rag_qa_chat_string_context") # Use the answer and context directly from enhanced_rag_pipeline result = enhanced_rag_pipeline(query, api_choice, keywords, apply_re_ranking) answer = result['answer'] else: log_counter("rag_qa_chat_no_context") # If no context is provided, call generate_answer directly answer = generate_answer(api_choice, "", query) # Update history new_history = history + [(query, answer)] # Metrics duration = time.time() - start_time log_histogram("rag_qa_chat_duration", duration, labels={"api_choice": api_choice}) log_counter("rag_qa_chat_success", labels={"api_choice": api_choice}) return new_history, answer except Exception as e: log_counter("rag_qa_chat_error", labels={"api_choice": api_choice, "error": str(e)}) logging.error(f"Error in rag_qa_chat: {str(e)}") return history + [(query, "An error occurred while processing your request.")], "An error occurred while processing your request." def save_chat_history(history: List[Tuple[str, str]]) -> str: # Save chat history to a file log_counter("save_chat_history_attempt") start_time = time.time() try: with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.json') as temp_file: json.dump(history, temp_file) save_duration = time.time() - start_time log_histogram("save_chat_history_duration", save_duration) log_counter("save_chat_history_success") return temp_file.name except Exception as e: log_counter("save_chat_history_error", labels={"error": str(e)}) logging.error(f"Error saving chat history: {str(e)}") raise def load_chat_history(file: IO[str]) -> List[Tuple[str, str]]: log_counter("load_chat_history_attempt") start_time = time.time() try: # Load chat history from a file history = json.load(file) load_duration = time.time() - start_time log_histogram("load_chat_history_duration", load_duration) log_counter("load_chat_history_success") return history except Exception as e: log_counter("load_chat_history_error", labels={"error": str(e)}) logging.error(f"Error loading chat history: {str(e)}") raise def search_database(query: str) -> List[Tuple[int, str]]: try: log_counter("search_database_attempt") start_time = time.time() # Implement database search functionality results = search_db(query, ["title", "content"], "", page=1, results_per_page=10) search_duration = time.time() - start_time log_histogram("search_database_duration", search_duration) log_counter("search_database_success", labels={"result_count": len(results)}) return [(result['id'], result['title']) for result in results] except Exception as e: log_counter("search_database_error", labels={"error": str(e)}) logging.error(f"Error searching database: {str(e)}") raise def get_existing_files() -> List[Tuple[int, str]]: log_counter("get_existing_files_attempt") start_time = time.time() try: # Fetch list of existing files from the database with db.get_connection() as conn: cursor = conn.cursor() cursor.execute("SELECT id, title FROM Media ORDER BY title") results = cursor.fetchall() fetch_duration = time.time() - start_time log_histogram("get_existing_files_duration", fetch_duration) log_counter("get_existing_files_success", labels={"file_count": len(results)}) return results except Exception as e: log_counter("get_existing_files_error", labels={"error": str(e)}) logging.error(f"Error fetching existing files: {str(e)}") raise ###################################################### # # Notes # # End of RAG_QA_Chat.py ########################################################################################################################