"""Tests for Protocol data structures"""

import pytest
from datetime import datetime

from agentkit.core.protocol import (
    AgentCapability,
    HandoffMessage,
    TaskMessage,
    TaskResult,
    TaskStatus,
    EvolutionEvent,
)


def test_task_status_values():
    assert TaskStatus.PENDING == "pending"
    assert TaskStatus.RUNNING == "running"
    assert TaskStatus.COMPLETED == "completed"
    assert TaskStatus.FAILED == "failed"
    assert TaskStatus.CANCELLED == "cancelled"
    assert TaskStatus.HANDOFF == "handoff"


def test_agent_capability_with_schema():
    cap = AgentCapability(
        agent_name="test",
        agent_type="test",
        version="1.0.0",
        supported_tasks=["echo"],
        max_concurrency=2,
        description="Test",
        input_schema={"type": "object", "properties": {"x": {"type": "number"}}},
        output_schema={"type": "object"},
    )

    d = cap.to_dict()
    assert "input_schema" in d
    assert "output_schema" in d

    restored = AgentCapability.from_dict(d)
    assert restored.agent_name == "test"
    assert restored.input_schema is not None


def test_task_message_roundtrip():
    msg = TaskMessage(
        task_id="123",
        agent_name="agent1",
        task_type="echo",
        priority=1,
        input_data={"key": "value"},
        callback_url=None,
        created_at=datetime.utcnow(),
        conversation_id="conv-1",
    )

    d = msg.to_dict()
    assert d["conversation_id"] == "conv-1"

    restored = TaskMessage.from_dict(d)
    assert restored.task_id == "123"
    assert restored.conversation_id == "conv-1"


def test_handoff_message():
    msg = HandoffMessage(
        source_agent="agent_a",
        target_agent="agent_b",
        task_id="task-1",
        task_type="analyze",
        context={"data": "test"},
        reason="Need expert analysis",
    )

    d = msg.to_dict()
    assert d["source_agent"] == "agent_a"
    assert d["target_agent"] == "agent_b"

    restored = HandoffMessage.from_dict(d)
    assert restored.reason == "Need expert analysis"


def test_evolution_event():
    event = EvolutionEvent(
        agent_name="optimizer",
        change_type="prompt",
        before={"instruction": "old"},
        after={"instruction": "new"},
        metrics={"quality_delta": 0.15},
    )

    d = event.to_dict()
    assert d["change_type"] == "prompt"
    assert d["metrics"]["quality_delta"] == 0.15