"""
Integration tests for the Conversations API using the SDK.
"""

import uuid

import pytest
from letta_client import Letta


@pytest.fixture
def client(server_url: str) -> Letta:
    """Create a Letta client."""
    return Letta(base_url=server_url)


@pytest.fixture
def agent(client: Letta):
    """Create a test agent."""
    agent_state = client.agents.create(
        name=f"test_conversations_{uuid.uuid4().hex[:8]}",
        model="openai/gpt-4o-mini",
        embedding="openai/text-embedding-3-small",
        memory_blocks=[
            {"label": "human", "value": "Test user"},
            {"label": "persona", "value": "You are a helpful assistant."},
        ],
    )
    yield agent_state
    # Cleanup
    client.agents.delete(agent_id=agent_state.id)


class TestConversationsSDK:
    """Test conversations using the SDK client."""

    def test_create_conversation(self, client: Letta, agent):
        """Test creating a conversation for an agent."""
        conversation = client.conversations.create(agent_id=agent.id)

        assert conversation.id is not None
        assert conversation.id.startswith("conv-")
        assert conversation.agent_id == agent.id

    def test_list_conversations(self, client: Letta, agent):
        """Test listing conversations for an agent."""
        # Create multiple conversations
        conv1 = client.conversations.create(agent_id=agent.id)
        conv2 = client.conversations.create(agent_id=agent.id)

        # List conversations
        conversations = client.conversations.list(agent_id=agent.id)

        assert len(conversations) >= 2
        conv_ids = [c.id for c in conversations]
        assert conv1.id in conv_ids
        assert conv2.id in conv_ids

    def test_retrieve_conversation(self, client: Letta, agent):
        """Test retrieving a specific conversation."""
        # Create a conversation
        created = client.conversations.create(agent_id=agent.id)

        # Retrieve it (should have empty in_context_message_ids initially)
        retrieved = client.conversations.retrieve(conversation_id=created.id)

        assert retrieved.id == created.id
        assert retrieved.agent_id == created.agent_id
        assert retrieved.in_context_message_ids == []

        # Send a message to the conversation
        list(
            client.conversations.messages.create(
                conversation_id=created.id,
                messages=[{"role": "user", "content": "Hello!"}],
            )
        )

        # Retrieve again and check in_context_message_ids is populated
        retrieved_with_messages = client.conversations.retrieve(conversation_id=created.id)

        # System message + user + assistant messages should be in the conversation
        assert len(retrieved_with_messages.in_context_message_ids) >= 3  # system + user + assistant
        # All IDs should be strings starting with "message-"
        for msg_id in retrieved_with_messages.in_context_message_ids:
            assert isinstance(msg_id, str)
            assert msg_id.startswith("message-")

        # Verify message ordering by listing messages
        messages = client.conversations.messages.list(conversation_id=created.id)
        assert len(messages) >= 3  # system + user + assistant
        # First message should be system message (shared across conversations)
        assert messages[0].message_type == "system_message", f"First message should be system_message, got {messages[0].message_type}"
        # Second message should be user message
        assert messages[1].message_type == "user_message", f"Second message should be user_message, got {messages[1].message_type}"

    def test_send_message_to_conversation(self, client: Letta, agent):
        """Test sending a message to a conversation."""
        # Create a conversation
        conversation = client.conversations.create(agent_id=agent.id)

        # Send a message (returns a stream)
        stream = client.conversations.messages.create(
            conversation_id=conversation.id,
            messages=[{"role": "user", "content": "Hello, how are you?"}],
        )

        # Consume the stream to get messages
        messages = list(stream)

        # Check response contains messages
        assert len(messages) > 0
        # Should have at least an assistant message
        message_types = [m.message_type for m in messages if hasattr(m, "message_type")]
        assert "assistant_message" in message_types

    def test_list_conversation_messages(self, client: Letta, agent):
        """Test listing messages from a conversation."""
        # Create a conversation
        conversation = client.conversations.create(agent_id=agent.id)

        # Send a message to create some history (consume the stream)
        stream = client.conversations.messages.create(
            conversation_id=conversation.id,
            messages=[{"role": "user", "content": "Say 'test response' back to me."}],
        )
        list(stream)  # Consume stream

        # List messages
        messages = client.conversations.messages.list(conversation_id=conversation.id)

        assert len(messages) >= 2  # At least user + assistant
        message_types = [m.message_type for m in messages]
        assert "user_message" in message_types
        assert "assistant_message" in message_types

        # Send another message and check that old and new messages are both listed
        first_message_count = len(messages)
        stream = client.conversations.messages.create(
            conversation_id=conversation.id,
            messages=[{"role": "user", "content": "This is a follow-up message."}],
        )
        list(stream)  # Consume stream

        # List messages again
        updated_messages = client.conversations.messages.list(conversation_id=conversation.id)

        # Should have more messages now (at least 2 more: user + assistant)
        assert len(updated_messages) >= first_message_count + 2

    def test_conversation_isolation(self, client: Letta, agent):
        """Test that conversations are isolated from each other."""
        # Create two conversations
        conv1 = client.conversations.create(agent_id=agent.id)
        conv2 = client.conversations.create(agent_id=agent.id)

        # Send different messages to each (consume streams)
        list(
            client.conversations.messages.create(
                conversation_id=conv1.id,
                messages=[{"role": "user", "content": "Remember the word: APPLE"}],
            )
        )
        list(
            client.conversations.messages.create(
                conversation_id=conv2.id,
                messages=[{"role": "user", "content": "Remember the word: BANANA"}],
            )
        )

        # List messages from each conversation
        conv1_messages = client.conversations.messages.list(conversation_id=conv1.id)
        conv2_messages = client.conversations.messages.list(conversation_id=conv2.id)

        # Check messages are separate
        conv1_content = " ".join([m.content for m in conv1_messages if hasattr(m, "content") and m.content])
        conv2_content = " ".join([m.content for m in conv2_messages if hasattr(m, "content") and m.content])

        assert "APPLE" in conv1_content
        assert "BANANA" in conv2_content
        # Each conversation should only have its own word
        assert "BANANA" not in conv1_content or "APPLE" not in conv2_content

        # Ask what word was remembered and make sure it's different for each conversation
        conv1_recall = list(
            client.conversations.messages.create(
                conversation_id=conv1.id,
                messages=[{"role": "user", "content": "What word did I ask you to remember? Reply with just the word."}],
            )
        )
        conv2_recall = list(
            client.conversations.messages.create(
                conversation_id=conv2.id,
                messages=[{"role": "user", "content": "What word did I ask you to remember? Reply with just the word."}],
            )
        )

        # Get the assistant responses
        conv1_response = " ".join([m.content for m in conv1_recall if hasattr(m, "message_type") and m.message_type == "assistant_message"])
        conv2_response = " ".join([m.content for m in conv2_recall if hasattr(m, "message_type") and m.message_type == "assistant_message"])

        assert "APPLE" in conv1_response.upper(), f"Conv1 should remember APPLE, got: {conv1_response}"
        assert "BANANA" in conv2_response.upper(), f"Conv2 should remember BANANA, got: {conv2_response}"

        # Each conversation has its own system message (created on first message)
        conv1_system_id = conv1_messages[0].id
        conv2_system_id = conv2_messages[0].id
        assert conv1_system_id != conv2_system_id, "System messages should have different IDs for different conversations"

    def test_conversation_messages_pagination(self, client: Letta, agent):
        """Test pagination when listing conversation messages."""
        # Create a conversation
        conversation = client.conversations.create(agent_id=agent.id)

        # Send multiple messages to create history (consume streams)
        for i in range(3):
            list(
                client.conversations.messages.create(
                    conversation_id=conversation.id,
                    messages=[{"role": "user", "content": f"Message number {i}"}],
                )
            )

        # List with limit
        messages = client.conversations.messages.list(
            conversation_id=conversation.id,
            limit=2,
        )

        # Should respect the limit
        assert len(messages) <= 2

    def test_retrieve_conversation_stream_no_active_run(self, client: Letta, agent):
        """Test that retrieve_conversation_stream returns error when no active run exists."""
        from letta_client import BadRequestError

        # Create a conversation
        conversation = client.conversations.create(agent_id=agent.id)

        # Try to retrieve stream when no run exists (should fail)
        with pytest.raises(BadRequestError) as exc_info:
            # Use the SDK's stream method
            stream = client.conversations.messages.stream(conversation_id=conversation.id)
            list(stream)  # Consume the stream to trigger the error

        # Should return 400 because no active run exists
        assert "No active runs found" in str(exc_info.value)

    def test_retrieve_conversation_stream_after_completed_run(self, client: Letta, agent):
        """Test that retrieve_conversation_stream returns error when run is completed."""
        from letta_client import BadRequestError

        # Create a conversation
        conversation = client.conversations.create(agent_id=agent.id)

        # Send a message (this creates a run that completes)
        list(
            client.conversations.messages.create(
                conversation_id=conversation.id,
                messages=[{"role": "user", "content": "Hello"}],
            )
        )

        # Try to retrieve stream after the run has completed (should fail)
        with pytest.raises(BadRequestError) as exc_info:
            # Use the SDK's stream method
            stream = client.conversations.messages.stream(conversation_id=conversation.id)
            list(stream)  # Consume the stream to trigger the error

        # Should return 400 because no active run exists (run is completed)
        assert "No active runs found" in str(exc_info.value)