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function init_chat_engine

Maturity: 46

Initializes a global chat engine instance using the OneCo_hybrid_RAG class and logs the initialization status.

File:
/tf/active/vicechatdev/vice_ai/complex_app.py
Lines:
475 - 484
Complexity:
simple

Purpose

This function serves as an initialization routine for a Flask-based chat application. It creates a global chat_engine object that implements a hybrid RAG (Retrieval-Augmented Generation) system. The function is typically called during application startup to ensure the chat engine is ready before handling user requests. It includes error handling and logging to track initialization success or failure.

Source Code

def init_chat_engine():
    """Initialize the chat engine"""
    global chat_engine
    try:
        chat_engine = OneCo_hybrid_RAG()
        logger.info("Chat engine initialized successfully")
        return True
    except Exception as e:
        logger.error(f"Failed to initialize chat engine: {e}")
        return False

Return Value

Returns a boolean value: True if the chat engine was successfully initialized, False if an exception occurred during initialization. The return value can be used to determine if the application should proceed with startup or handle the initialization failure.

Dependencies

  • logging
  • hybrid_rag_engine

Required Imports

import logging
from hybrid_rag_engine import OneCo_hybrid_RAG

Usage Example

import logging
from hybrid_rag_engine import OneCo_hybrid_RAG

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Declare global variable
chat_engine = None

def init_chat_engine():
    """Initialize the chat engine"""
    global chat_engine
    try:
        chat_engine = OneCo_hybrid_RAG()
        logger.info("Chat engine initialized successfully")
        return True
    except Exception as e:
        logger.error(f"Failed to initialize chat engine: {e}")
        return False

# Call during application startup
if __name__ == "__main__":
    if init_chat_engine():
        print("Application ready to handle chat requests")
    else:
        print("Failed to start application - chat engine initialization failed")

Best Practices

  • Ensure the logger is configured before calling this function to capture initialization logs
  • Call this function during application startup, before accepting user requests
  • Check the return value to determine if the application should continue or fail gracefully
  • Consider implementing a retry mechanism if initialization fails due to transient issues
  • The function modifies global state - ensure thread safety if called in a multi-threaded environment
  • Document the requirements and configuration needed by OneCo_hybrid_RAG class
  • Consider adding more specific exception handling to differentiate between different failure modes
  • In production, consider using a more robust initialization pattern that doesn't rely on global variables

Similar Components

AI-powered semantic similarity - components with related functionality:

  • function init_chat_engine_v1 91.2% similar

    Initializes a global chat engine instance using OneCo_hybrid_RAG and validates its configuration by checking for required attributes like available_collections and data_handles.

    From: /tf/active/vicechatdev/vice_ai/app.py
  • function init_engines 71.3% similar

    Initializes the RAG (Retrieval-Augmented Generation) engine and document indexer components, loads persisted sessions, and optionally starts background auto-indexing of documents.

    From: /tf/active/vicechatdev/docchat/app.py
  • function api_send_chat_message 63.3% similar

    Flask API endpoint that handles sending a message in a chat session, processes it through a hybrid RAG engine with configurable search and memory settings, and returns an AI-generated response with references.

    From: /tf/active/vicechatdev/vice_ai/complex_app.py
  • function chat_v1 61.1% similar

    Flask route handler that renders the main chat interface with available collections and instruction templates, requiring authentication.

    From: /tf/active/vicechatdev/vice_ai/app.py
  • function chat 60.4% similar

    Flask route handler that processes chat requests with RAG (Retrieval-Augmented Generation) capabilities, managing conversation sessions, chat history, and document-based question answering.

    From: /tf/active/vicechatdev/docchat/blueprint.py
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