import pytest
import sqlite3
from pathlib import Path
from unittest.mock import patch, MagicMock

# Define paths relative to the test file if needed
# Assuming tests run from project root
DB_FILE_NAME = "swarm_instructions.db"
DB_PATH = Path(".") / DB_FILE_NAME # Adjust if needed

# --- Placeholder Tests ---
# TODO: Implement tests for DilbotUniverseBlueprint with SQLite

@pytest.fixture(scope="function")
def temporary_db():
    """Creates a temporary, empty SQLite DB for testing."""
    # Use a unique name or in-memory DB for isolation if tests run in parallel
    test_db_path = Path("./test_swarm_instructions.db")
    if test_db_path.exists():
        test_db_path.unlink() # Ensure clean state

    # Let the blueprint create the schema and potentially load data
    yield test_db_path

    # Clean up the test database file
    if test_db_path.exists():
        test_db_path.unlink()

@pytest.mark.skip(reason="SQLite interaction testing needs refinement.")
@patch('blueprints.dilbot_universe.blueprint_dilbot_universe.DB_PATH', new_callable=lambda: Path("./test_swarm_instructions.db")) # Patch DB path
@patch('blueprints.dilbot_universe.blueprint_dilbot_universe.BlueprintBase._load_configuration', return_value={'llm': {'default': {'provider': 'openai', 'model': 'gpt-mock'}}, 'mcpServers': {}}) # Mock config
@patch('blueprints.dilbot_universe.blueprint_dilbot_universe.BlueprintBase._get_model_instance') # Mock model instance creation
def test_dilbot_db_initialization(mock_get_model, mock_load_config, temporary_db):
    """Test if the database and table are created and sample data loaded."""
    from blueprints.dilbot_universe.blueprint_dilbot_universe import DilbotUniverseBlueprint

    # Arrange
    blueprint = DilbotUniverseBlueprint(debug=True) # Instantiation triggers init

    # Act - Initialization happens in __init__ indirectly via create_starting_agent -> _init_db
    # We need to trigger the part that calls _init_db_and_load_data
    blueprint._init_db_and_load_data() # Call directly for this test focus

    # Assert
    assert temporary_db.exists()
    with sqlite3.connect(temporary_db) as conn:
        cursor = conn.cursor()
        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='agent_instructions';")
        assert cursor.fetchone() is not None, "Table 'agent_instructions' should exist"
        cursor.execute("SELECT COUNT(*) FROM agent_instructions")
        assert cursor.fetchone()[0] > 0, "Sample data should be loaded"
        cursor.execute("SELECT instruction_text FROM agent_instructions WHERE agent_name = ?", ("Dilbot",))
        dilbot_instr = cursor.fetchone()[0]
        assert "You are Dilbot" in dilbot_instr # Check if sample data looks right

@pytest.mark.skip(reason="SQLite interaction testing needs refinement.")
def test_dilbot_get_agent_config_from_db():
    """Test fetching config from a pre-populated test DB."""
    # Needs setup with a known test DB state and mocking BlueprintBase methods
    assert False

@pytest.mark.skip(reason="Blueprint interaction tests not yet implemented.")
@pytest.mark.asyncio
async def test_dilbot_delegation_flow_sqlite():
    """Test a simple delegation path using SQLite config."""
    # Needs Runner mocking and DB mocking/setup.
    assert False

@pytest.mark.skip(reason="Blueprint action tests not yet implemented")
@pytest.mark.asyncio
async def test_dilbot_build_action_sqlite():
    """Test the build_product tool being called (SQLite based)."""
     # Needs Runner mocking to verify tool calls.
    assert False
