# Copyright (c) Microsoft. All rights reserved.

import asyncio

from agent_framework import Content, Message
from agent_framework.azure import AzureOpenAIChatClient
from azure.identity import AzureCliCredential
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()


def create_sample_image() -> str:
    """Create a simple 1x1 pixel PNG image for testing."""
    # This is a tiny yellow pixel in PNG format
    png_data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg=="
    return f"data:image/png;base64,{png_data}"


async def test_image() -> None:
    """Test image analysis with Azure OpenAI."""
    # For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
    # authentication option. Requires AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_CHAT_DEPLOYMENT_NAME
    # environment variables to be set.
    # Alternatively, you can pass deployment_name explicitly:
    # client = AzureOpenAIChatClient(credential=AzureCliCredential(), deployment_name="your-deployment-name")
    client = AzureOpenAIChatClient(credential=AzureCliCredential())

    image_uri = create_sample_image()
    message = Message(
        role="user",
        contents=[
            Content.from_text(text="What's in this image?"),
            Content.from_uri(uri=image_uri, media_type="image/png"),
        ],
    )

    response = await client.get_response([message])
    print(f"Image Response: {response}")


async def main() -> None:
    print("=== Testing Azure OpenAI Multimodal ===")
    print("Testing image analysis (supported by Chat Completions API)")
    await test_image()


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