# Copyright (c) Microsoft. All rights reserved.

"""Single Agent Streaming Sample - Durable Task Integration (Combined Worker + Client)
This sample demonstrates running both the worker and client in a single process
with reliable Redis-based streaming for agent responses.
The worker is started first to register the TravelPlanner agent with Redis streaming
callback, then client operations are performed against the running worker.
Prerequisites:
- Set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
- Sign in with Azure CLI for AzureCliCredential authentication
- Durable Task Scheduler must be running (e.g., using Docker)
- Redis must be running (e.g., docker run -d --name redis -p 6379:6379 redis:latest)
To run this sample:
    python sample.py
"""

import logging

# Import helper functions from worker and client modules
from client import get_client, run_client
from dotenv import load_dotenv
from worker import get_worker, setup_worker

# Configure logging (must be after imports to override their basicConfig)
logging.basicConfig(level=logging.INFO, force=True)
logger = logging.getLogger(__name__)


def main():
    """Main entry point - runs both worker and client in single process."""
    logger.debug("Starting Durable Task Agent Sample with Redis Streaming...")
    silent_handler = logging.NullHandler()
    # Create and start the worker using helper function and context manager
    with get_worker(log_handler=silent_handler) as dts_worker:
        # Register agents and callbacks using helper function
        setup_worker(dts_worker)
        # Start the worker
        dts_worker.start()
        logger.debug("Worker started and listening for requests...")
        # Create the client using helper function
        agent_client = get_client(log_handler=silent_handler)
        try:
            # Run client interactions using helper function
            run_client(agent_client)
        except Exception as e:
            logger.exception(f"Error during agent interaction: {e}")
        logger.debug("Sample completed. Worker shutting down...")


if __name__ == "__main__":
    load_dotenv()
    main()
