# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------

"""
DESCRIPTION:
    This sample demonstrates how to use agent operations with toolset from
    the Azure Agents service using a synchronous client.

USAGE:
    python sample_agents_run_with_toolset_async.py

    Before running the sample:

    pip install azure-ai-projects azure-ai-agents azure-identity aiohttp

    Set these environment variables with your own values:
    1) PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
                          page of your Azure AI Foundry portal.
    2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model.
"""

import os, asyncio
from azure.ai.projects.aio import AIProjectClient
from azure.identity.aio import DefaultAzureCredential
from azure.ai.agents.models import AsyncFunctionTool, AsyncToolSet, ListSortOrder, MessageTextContent
from utils.user_async_functions import user_async_functions


async def main() -> None:

    project_client = AIProjectClient(
        endpoint=os.environ["PROJECT_ENDPOINT"],
        credential=DefaultAzureCredential(),
    )

    async with project_client:
        agents_client = project_client.agents

        # Initialize agent toolset with user functions and code interpreter
        # [START create_agent_with_async_function_tool]
        functions = AsyncFunctionTool(user_async_functions)

        toolset = AsyncToolSet()
        toolset.add(functions)
        agents_client.enable_auto_function_calls(toolset)

        agent = await agents_client.create_agent(
            model=os.environ["MODEL_DEPLOYMENT_NAME"],
            name="my-agent",
            instructions="You are a helpful agent",
            toolset=toolset,
        )
        # [END create_agent_with_async_function_tool]
        print(f"Created agent, ID: {agent.id}")

        # Create thread for communication
        thread = await agents_client.threads.create()
        print(f"Created thread, ID: {thread.id}")

        # Create message to thread
        message = await agents_client.messages.create(
            thread_id=thread.id,
            role="user",
            content="Hello, send an email with the datetime and weather information in New York?",
        )
        print(f"Created message, ID: {message.id}")

        # Create and process agent run in thread with tools
        run = await agents_client.runs.create_and_process(thread_id=thread.id, agent_id=agent.id)
        print(f"Run finished with status: {run.status}")

        if run.status == "failed":
            print(f"Run failed: {run.last_error}")

        # Delete the agent when done
        await agents_client.delete_agent(agent.id)
        print("Deleted agent")

        # Fetch and log all messages
        messages = agents_client.messages.list(thread_id=thread.id, order=ListSortOrder.ASCENDING)
        async for msg in messages:
            last_part = msg.content[-1]
            if isinstance(last_part, MessageTextContent):
                print(f"{msg.role}: {last_part.text.value}")


if __name__ == "__main__":
    asyncio.run(main())
