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

"""
DESCRIPTION:
    Given an AIProjectClient, this sample demonstrates how to use the asynchronous
    `.telemetry` methods to get the Application Insights connection string and enable
    tracing.

USAGE:
    python sample_telemetry_async.py

    Before running the sample:

    pip install azure-ai-projects azure-identity aiohttp python-dotenv

    Set these environment variables with your own values:
    1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the overview page of your
       Azure AI Foundry project.
"""

import os
import asyncio
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import ConnectionType

load_dotenv()


async def main() -> None:

    endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]

    async with DefaultAzureCredential() as credential:

        async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client:

            print("Get the Application Insights connection string:")
            connection_string = await project_client.telemetry.get_application_insights_connection_string()
            print(connection_string)


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