import pytest
from unittest.mock import patch, MagicMock
from scripts.mma_exec import create_parser, get_role_documents, execute_agent, get_model_for_role, get_dependencies

def test_parser_role_choices():
    """Test that the parser accepts valid roles and the prompt argument."""
    parser = create_parser()
    valid_roles = ['tier1', 'tier2', 'tier3', 'tier4']
    test_prompt = "Analyze the codebase for bottlenecks."

    for role in valid_roles:
        args = parser.parse_args(['--role', role, test_prompt])
        assert args.role == role
        assert args.prompt == test_prompt

def test_parser_invalid_role():
    """Test that the parser rejects roles outside the specified choices."""
    parser = create_parser()
    with pytest.raises(SystemExit):
        parser.parse_args(['--role', 'tier5', 'Some prompt'])

def test_parser_prompt_required():
    """Test that the prompt argument is mandatory."""
    parser = create_parser()
    with pytest.raises(SystemExit):
        parser.parse_args(['--role', 'tier3'])

def test_parser_help():
    """Test that the help flag works without raising errors (exits with 0)."""
    parser = create_parser()
    with pytest.raises(SystemExit) as excinfo:
        parser.parse_args(['--help'])
    assert excinfo.value.code == 0

def test_get_role_documents():
    """Test that get_role_documents returns the correct documentation paths for each tier."""
    assert get_role_documents('tier1') == ['conductor/product.md', 'conductor/product-guidelines.md']
    assert get_role_documents('tier2') == ['conductor/tech-stack.md', 'conductor/workflow.md']
    assert get_role_documents('tier3') == ['conductor/workflow.md']
    assert get_role_documents('tier4') == []

def test_get_model_for_role():
    """Test that get_model_for_role returns the correct model for each role."""
    assert get_model_for_role('tier1-orchestrator') == 'gemini-3.1-pro-preview'
    assert get_model_for_role('tier2-tech-lead') == 'gemini-3-flash-preview'
    assert get_model_for_role('tier3-worker') == 'gemini-2.5-flash-lite'
    assert get_model_for_role('tier4-qa') == 'gemini-2.5-flash-lite'

def test_execute_agent():
    """
    Test that execute_agent calls subprocess.run with the correct gemini CLI arguments
    including the model specified for the role.
    """
    role = "tier3-worker"
    prompt = "Write a unit test."
    docs = ["file1.py", "docs/spec.md"]
    
    expected_gemini_arg = "Use the mma-tier3-worker skill. Write a unit test. @file1.py @docs/spec.md"
    expected_model = "gemini-2.5-flash-lite"
    mock_stdout = "Mocked AI Response"

    with patch("subprocess.run") as mock_run:
        mock_process = MagicMock()
        mock_process.stdout = mock_stdout
        mock_process.returncode = 0
        mock_run.return_value = mock_process

        result = execute_agent(role, prompt, docs)

        mock_run.assert_called_once()
        args, kwargs = mock_run.call_args
        cmd_list = args[0]
        
        assert cmd_list[0] == "gemini"
        assert cmd_list[1] == "-p"
        assert cmd_list[2] == expected_gemini_arg

        # Verify the correct model is passed via --model flag
        assert "--model" in cmd_list
        model_idx = cmd_list.index("--model")
        assert cmd_list[model_idx + 1] == expected_model

        assert kwargs.get("capture_output") is True
        assert kwargs.get("text") is True

        assert result == mock_stdout

def test_get_dependencies(tmp_path):
    content = (
        "import os\n"
        "import sys\n"
        "import file_cache\n"
        "from mcp_client import something\n"
    )
    filepath = tmp_path / "mock_script.py"
    filepath.write_text(content)
    dependencies = get_dependencies(filepath)
    assert dependencies == ['os', 'sys', 'file_cache', 'mcp_client']