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

"""
DESCRIPTION:
    This sample demonstrates how to perform CRUD operations on agent Sessions
    using the asynchronous AIProjectClient.

    Sessions only work with Hosted Agents.

USAGE:
    python sample_sessions_files_upload_download_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 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]

    # Construct the paths to the data folder and data file used in this sample
    script_dir = os.path.dirname(os.path.abspath(__file__))
    data_folder = os.path.join(script_dir, "assets")
    data_file1 = os.path.join(data_folder, "data_file1.txt")
    data_file2 = os.path.join(data_folder, "data_file2.txt")
    remote_file_path1 = "/remote/data_file1.txt"
    remote_file_path2 = "/remote/data_file2.txt"

    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 files 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:
                print(f"Uploading session file: {data_file1} -> {remote_file_path1}")
                with open(data_file1, "rb") as f:
                    content1 = f.read()
                await project_client.agents.upload_session_file(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    content=content1,
                    path=remote_file_path1,
                )

                print(f"Uploading session file: {data_file2} -> {remote_file_path2}")
                with open(data_file2, "rb") as f:
                    content2 = f.read()
                await project_client.agents.upload_session_file(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    content=content2,
                    path=remote_file_path2,
                )

                print("Listing session files for the session at path '.'...")
                files = project_client.agents.list_session_files(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    path="/remote",
                )
                async for entry in files:
                    print(f"  - name={entry.name}, size={entry.size}, is_directory={entry.is_directory}")

                print(f"Downloading and printing content from '{remote_file_path1}'")
                content_bytes = b""
                async for chunk in await project_client.agents.download_session_file(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    path=remote_file_path1,
                ):
                    content_bytes += chunk
                file_content = content_bytes.decode("utf-8", errors="replace")
                print(f"Session file content ({remote_file_path1}):\n{file_content}")

                print(f"Deleting session file at path: {remote_file_path1}...")
                await project_client.agents.delete_session_file(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    path=remote_file_path1,
                )

                print(f"Deleting session file at path: {remote_file_path2}...")
                await project_client.agents.delete_session_file(
                    agent_name=agent_name,
                    session_id=session.agent_session_id,
                    path=remote_file_path2,
                )
            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())
