# Copyright (c) Microsoft. All rights reserved.

import os
from unittest.mock import AsyncMock, MagicMock, patch

import pytest
from agent_framework import ChatAgent
from agent_framework.exceptions import ServiceInitializationError
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import (
    AgentReference,
    AgentVersionDetails,
    FunctionTool,
    PromptAgentDefinition,
)
from azure.identity.aio import AzureCliCredential

from agent_framework_azure_ai import AzureAIProjectAgentProvider

skip_if_azure_ai_integration_tests_disabled = pytest.mark.skipif(
    os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true"
    or os.getenv("AZURE_AI_PROJECT_ENDPOINT", "") in ("", "https://test-project.cognitiveservices.azure.com/")
    or os.getenv("AZURE_AI_MODEL_DEPLOYMENT_NAME", "") == "",
    reason=(
        "No real AZURE_AI_PROJECT_ENDPOINT or AZURE_AI_MODEL_DEPLOYMENT_NAME provided; skipping integration tests."
        if os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true"
        else "Integration tests are disabled."
    ),
)


@pytest.fixture
def mock_project_client() -> MagicMock:
    """Fixture that provides a mock AIProjectClient."""
    mock_client = MagicMock()

    # Mock agents property
    mock_client.agents = MagicMock()
    mock_client.agents.create_version = AsyncMock()

    # Mock conversations property
    mock_client.conversations = MagicMock()
    mock_client.conversations.create = AsyncMock()

    # Mock telemetry property
    mock_client.telemetry = MagicMock()
    mock_client.telemetry.get_application_insights_connection_string = AsyncMock()

    # Mock get_openai_client method
    mock_client.get_openai_client = AsyncMock()

    # Mock close method
    mock_client.close = AsyncMock()

    return mock_client


@pytest.fixture
def mock_azure_credential() -> MagicMock:
    """Fixture that provides a mock Azure credential."""
    return MagicMock()


@pytest.fixture
def azure_ai_unit_test_env(monkeypatch: pytest.MonkeyPatch) -> dict[str, str]:
    """Fixture that sets up Azure AI environment variables for unit testing."""
    env_vars = {
        "AZURE_AI_PROJECT_ENDPOINT": "https://test-project.cognitiveservices.azure.com/",
        "AZURE_AI_MODEL_DEPLOYMENT_NAME": "test-model-deployment",
    }
    for key, value in env_vars.items():
        monkeypatch.setenv(key, value)
    return env_vars


def test_provider_init_with_project_client(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider initialization with existing project_client."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    assert provider._project_client is mock_project_client  # type: ignore
    assert not provider._should_close_client  # type: ignore


def test_provider_init_with_credential_and_endpoint(
    azure_ai_unit_test_env: dict[str, str],
    mock_azure_credential: MagicMock,
) -> None:
    """Test AzureAIProjectAgentProvider initialization with credential and endpoint."""
    with patch("agent_framework_azure_ai._project_provider.AIProjectClient") as mock_ai_project_client:
        mock_client = MagicMock()
        mock_ai_project_client.return_value = mock_client

        provider = AzureAIProjectAgentProvider(
            project_endpoint=azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"],
            credential=mock_azure_credential,
        )

        assert provider._project_client is mock_client  # type: ignore
        assert provider._should_close_client  # type: ignore

        # Verify AIProjectClient was called with correct parameters
        mock_ai_project_client.assert_called_once()


def test_provider_init_missing_endpoint() -> None:
    """Test AzureAIProjectAgentProvider initialization when endpoint is missing."""
    with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
        mock_settings.return_value.project_endpoint = None
        mock_settings.return_value.model_deployment_name = "test-model"

        with pytest.raises(ServiceInitializationError, match="Azure AI project endpoint is required"):
            AzureAIProjectAgentProvider(credential=MagicMock())


def test_provider_init_missing_credential(azure_ai_unit_test_env: dict[str, str]) -> None:
    """Test AzureAIProjectAgentProvider initialization when credential is missing."""
    with pytest.raises(
        ServiceInitializationError, match="Azure credential is required when project_client is not provided"
    ):
        AzureAIProjectAgentProvider(
            project_endpoint=azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"],
        )


async def test_provider_create_agent(
    mock_project_client: MagicMock,
    azure_ai_unit_test_env: dict[str, str],
) -> None:
    """Test AzureAIProjectAgentProvider.create_agent method."""
    with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
        mock_settings.return_value.project_endpoint = azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"]
        mock_settings.return_value.model_deployment_name = azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"]

        provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

        # Mock agent creation response
        mock_agent_version = MagicMock(spec=AgentVersionDetails)
        mock_agent_version.id = "agent-id"
        mock_agent_version.name = "test-agent"
        mock_agent_version.version = "1.0"
        mock_agent_version.description = "Test Agent"
        mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
        mock_agent_version.definition.model = "gpt-4"
        mock_agent_version.definition.instructions = "Test instructions"
        mock_agent_version.definition.temperature = 0.7
        mock_agent_version.definition.top_p = 0.9
        mock_agent_version.definition.tools = []

        mock_project_client.agents.create_version = AsyncMock(return_value=mock_agent_version)

        agent = await provider.create_agent(
            name="test-agent",
            model="gpt-4",
            instructions="Test instructions",
            description="Test Agent",
        )

        assert isinstance(agent, ChatAgent)
        assert agent.name == "test-agent"
        mock_project_client.agents.create_version.assert_called_once()


async def test_provider_create_agent_with_env_model(
    mock_project_client: MagicMock,
    azure_ai_unit_test_env: dict[str, str],
) -> None:
    """Test AzureAIProjectAgentProvider.create_agent uses model from env var."""
    with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
        mock_settings.return_value.project_endpoint = azure_ai_unit_test_env["AZURE_AI_PROJECT_ENDPOINT"]
        mock_settings.return_value.model_deployment_name = azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"]

        provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

        # Mock agent creation response
        mock_agent_version = MagicMock(spec=AgentVersionDetails)
        mock_agent_version.id = "agent-id"
        mock_agent_version.name = "test-agent"
        mock_agent_version.version = "1.0"
        mock_agent_version.description = None
        mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
        mock_agent_version.definition.model = azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
        mock_agent_version.definition.instructions = None
        mock_agent_version.definition.temperature = None
        mock_agent_version.definition.top_p = None
        mock_agent_version.definition.tools = []

        mock_project_client.agents.create_version = AsyncMock(return_value=mock_agent_version)

        # Call without model parameter - should use env var
        agent = await provider.create_agent(name="test-agent")

        assert isinstance(agent, ChatAgent)
        # Verify the model from env var was used
        call_args = mock_project_client.agents.create_version.call_args
        assert call_args[1]["definition"].model == azure_ai_unit_test_env["AZURE_AI_MODEL_DEPLOYMENT_NAME"]


async def test_provider_create_agent_missing_model(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.create_agent raises when model is missing."""
    with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
        mock_settings.return_value.project_endpoint = "https://test.com"
        mock_settings.return_value.model_deployment_name = None

        provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

        with pytest.raises(ServiceInitializationError, match="Model deployment name is required"):
            await provider.create_agent(name="test-agent")


async def test_provider_get_agent_with_name(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.get_agent with name parameter."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    # Mock agent response
    mock_agent_version = MagicMock(spec=AgentVersionDetails)
    mock_agent_version.id = "agent-id"
    mock_agent_version.name = "test-agent"
    mock_agent_version.version = "1.0"
    mock_agent_version.description = "Test Agent"
    mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
    mock_agent_version.definition.model = "gpt-4"
    mock_agent_version.definition.instructions = "Test instructions"
    mock_agent_version.definition.temperature = None
    mock_agent_version.definition.top_p = None
    mock_agent_version.definition.tools = []

    mock_agent_object = MagicMock()
    mock_agent_object.versions.latest = mock_agent_version

    mock_project_client.agents = AsyncMock()
    mock_project_client.agents.get.return_value = mock_agent_object

    agent = await provider.get_agent(name="test-agent")

    assert isinstance(agent, ChatAgent)
    assert agent.name == "test-agent"
    mock_project_client.agents.get.assert_called_with(agent_name="test-agent")


async def test_provider_get_agent_with_reference(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.get_agent with reference parameter."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    # Mock agent response
    mock_agent_version = MagicMock(spec=AgentVersionDetails)
    mock_agent_version.id = "agent-id"
    mock_agent_version.name = "test-agent"
    mock_agent_version.version = "1.0"
    mock_agent_version.description = "Test Agent"
    mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
    mock_agent_version.definition.model = "gpt-4"
    mock_agent_version.definition.instructions = "Test instructions"
    mock_agent_version.definition.temperature = None
    mock_agent_version.definition.top_p = None
    mock_agent_version.definition.tools = []

    mock_project_client.agents = AsyncMock()
    mock_project_client.agents.get_version.return_value = mock_agent_version

    agent_reference = AgentReference(name="test-agent", version="1.0")
    agent = await provider.get_agent(reference=agent_reference)

    assert isinstance(agent, ChatAgent)
    assert agent.name == "test-agent"
    mock_project_client.agents.get_version.assert_called_with(agent_name="test-agent", agent_version="1.0")


async def test_provider_get_agent_missing_parameters(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.get_agent raises when no identifier provided."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    with pytest.raises(ValueError, match="Either name or reference must be provided"):
        await provider.get_agent()


async def test_provider_get_agent_missing_function_tools(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.get_agent raises when required tools are missing."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    # Mock agent with function tools
    mock_agent_version = MagicMock(spec=AgentVersionDetails)
    mock_agent_version.id = "agent-id"
    mock_agent_version.name = "test-agent"
    mock_agent_version.version = "1.0"
    mock_agent_version.description = None
    mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
    mock_agent_version.definition.tools = [
        FunctionTool(name="test_tool", parameters=[], strict=True, description="Test tool")
    ]

    mock_agent_object = MagicMock()
    mock_agent_object.versions.latest = mock_agent_version

    mock_project_client.agents = AsyncMock()
    mock_project_client.agents.get.return_value = mock_agent_object

    with pytest.raises(
        ValueError, match="The following prompt agent definition required tools were not provided: test_tool"
    ):
        await provider.get_agent(name="test-agent")


def test_provider_as_agent(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.as_agent method."""
    provider = AzureAIProjectAgentProvider(project_client=mock_project_client)

    # Create mock agent version
    mock_agent_version = MagicMock(spec=AgentVersionDetails)
    mock_agent_version.id = "agent-id"
    mock_agent_version.name = "test-agent"
    mock_agent_version.version = "1.0"
    mock_agent_version.description = "Test Agent"
    mock_agent_version.definition = MagicMock(spec=PromptAgentDefinition)
    mock_agent_version.definition.model = "gpt-4"
    mock_agent_version.definition.instructions = "Test instructions"
    mock_agent_version.definition.temperature = 0.7
    mock_agent_version.definition.top_p = 0.9
    mock_agent_version.definition.tools = []

    agent = provider.as_agent(mock_agent_version)

    assert isinstance(agent, ChatAgent)
    assert agent.name == "test-agent"
    assert agent.description == "Test Agent"


async def test_provider_context_manager(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider async context manager."""
    with patch("agent_framework_azure_ai._project_provider.AIProjectClient") as mock_ai_project_client:
        mock_client = MagicMock()
        mock_client.close = AsyncMock()
        mock_ai_project_client.return_value = mock_client

        with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
            mock_settings.return_value.project_endpoint = "https://test.com"
            mock_settings.return_value.model_deployment_name = "test-model"

            async with AzureAIProjectAgentProvider(credential=MagicMock()) as provider:
                assert provider._project_client is mock_client  # type: ignore

            # Should call close after exiting context
            mock_client.close.assert_called_once()


async def test_provider_context_manager_with_provided_client(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider context manager doesn't close provided client."""
    mock_project_client.close = AsyncMock()

    async with AzureAIProjectAgentProvider(project_client=mock_project_client) as provider:
        assert provider._project_client is mock_project_client  # type: ignore

    # Should NOT call close when client was provided
    mock_project_client.close.assert_not_called()


async def test_provider_close_method(mock_project_client: MagicMock) -> None:
    """Test AzureAIProjectAgentProvider.close method."""
    with patch("agent_framework_azure_ai._project_provider.AIProjectClient") as mock_ai_project_client:
        mock_client = MagicMock()
        mock_client.close = AsyncMock()
        mock_ai_project_client.return_value = mock_client

        with patch("agent_framework_azure_ai._project_provider.AzureAISettings") as mock_settings:
            mock_settings.return_value.project_endpoint = "https://test.com"
            mock_settings.return_value.model_deployment_name = "test-model"

            provider = AzureAIProjectAgentProvider(credential=MagicMock())
            await provider.close()

            mock_client.close.assert_called_once()


@pytest.mark.flaky
@skip_if_azure_ai_integration_tests_disabled
async def test_provider_create_and_get_agent_integration() -> None:
    """Integration test for provider create_agent and get_agent."""
    endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
    model = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]

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

        try:
            # Create agent
            agent = await provider.create_agent(
                name="ProviderTestAgent",
                model=model,
                instructions="You are a helpful assistant. Always respond with 'Hello from provider!'",
            )

            assert isinstance(agent, ChatAgent)
            assert agent.name == "ProviderTestAgent"

            # Run the agent
            response = await agent.run("Hi!")
            assert response.text is not None
            assert len(response.text) > 0

            # Get the same agent
            retrieved_agent = await provider.get_agent(name="ProviderTestAgent")
            assert retrieved_agent.name == "ProviderTestAgent"

        finally:
            # Cleanup
            await project_client.agents.delete(agent_name="ProviderTestAgent")