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# 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_media_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_media_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 | |
######################################################################################################################## | |