# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------

"""
DESCRIPTION:
    This sample demonstrates how to stream hosted agent session logs
    using `project_client.agents.get_session_log_stream` with the
    asynchronous AIProjectClient.

    Sessions only work with Hosted Agents.

USAGE:
    python sample_session_log_stream_async.py

    Before running the sample:

    pip install "azure-ai-projects>=2.3.0" python-dotenv aiohttp

    Set these environment variables with your own values:
    1) FOUNDRY_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
    2) FOUNDRY_MODEL_NAME - The deployment name of the AI model.
    3) FOUNDRY_HOSTED_AGENT_NAME - Optional. The Hosted Agent name. Defaults to
        `MyHostedAgent`.
"""

import asyncio
import os
from pathlib import Path
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import (
    CodeConfiguration,
    CodeDependencyResolution,
    HostedAgentDefinition,
    ProtocolVersionRecord,
    VersionRefIndicator,
)
from hosted_agents_util import create_version_from_code_async
from util import zip_directory

load_dotenv()


async def _iter_sse_frames_async(stream, max_log_events: int):
    event_count = 0
    buffer = ""

    async for chunk in stream:
        buffer += chunk.decode("utf-8", errors="replace")

        while "\n\n" in buffer:
            frame, buffer = buffer.split("\n\n", 1)
            event_name = None
            data_lines = []

            for line in frame.splitlines():
                if line.startswith("event: "):
                    event_name = line[7:]
                elif line.startswith("data: "):
                    data_lines.append(line[6:])

            if data_lines or event_name:
                event_count += 1
                yield {
                    "event": event_name,
                    "data": "\n".join(data_lines),
                }

                if event_count >= max_log_events:
                    return


async def main():
    endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
    agent_name = os.environ.get("FOUNDRY_HOSTED_AGENT_NAME", "MyHostedAgent")
    model_name = os.environ["FOUNDRY_MODEL_NAME"]
    hosted_agent_source_dir = Path(__file__).parent / "assets" / "basic-agent"

    zip_path = zip_directory(hosted_agent_source_dir, "basic-agent.zip")[2]

    with zip_path.open("rb") as code_stream:
        async with (
            DefaultAzureCredential() as credential,
            AIProjectClient(
                endpoint=endpoint,
                credential=credential,
            ) as project_client,
            create_version_from_code_async(
                project_client=project_client,
                agent_name=agent_name,
                description="Session log stream hosted agent uploaded from assets/basic-agent.",
                definition=HostedAgentDefinition(
                    cpu="0.5",
                    memory="1Gi",
                    code_configuration=CodeConfiguration(
                        runtime="python_3_14",
                        entry_point=["python", "main.py"],
                        dependency_resolution=CodeDependencyResolution.REMOTE_BUILD,
                    ),
                    environment_variables={
                        "FOUNDRY_PROJECT_ENDPOINT": endpoint,
                        "FOUNDRY_MODEL_NAME": model_name,
                    },
                    protocol_versions=[ProtocolVersionRecord(protocol="responses", version="2.0.0")],
                ),
                code=code_stream,
            ) as created,
        ):
            session = await project_client.agents.create_session(
                agent_name=agent_name,
                version_indicator=VersionRefIndicator(agent_version=created.version),
            )
            print(f"Session created (id: {session.agent_session_id}, status: {session.status})")
            try:
                input_text = "Say hello in one short sentence."

                openai_client = project_client.get_openai_client(agent_name=agent_name)
                response = await openai_client.responses.create(
                    input=input_text,
                    extra_body={
                        "agent_session_id": session.agent_session_id,
                    },
                )
                print(f"Response output: {response.output_text}")

                print("Streaming session logs...")
                raw_stream = await project_client.agents.get_session_log_stream(
                    agent_name=agent_name,
                    agent_version=created.version,
                    session_id=session.agent_session_id,
                )
                async for frame in _iter_sse_frames_async(raw_stream, max_log_events=30):
                    print(f"SSE event: {frame.get('event')}")
                    print(f"SSE data: {frame.get('data')}\n")
            finally:
                await project_client.agents.delete_session(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                )
                print(f"Session deleted (id: {session.agent_session_id})")


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