import pytest

from reasoning_gym.algebra.complex_arithmetic import ComplexArithmeticConfig, ComplexArithmeticDataset


def test_complex_arithmetic_basic():
    """Test basic functionality of complex arithmetic dataset."""
    config = ComplexArithmeticConfig(
        min_real=-5, max_real=5, min_imag=-5, max_imag=5, operations=("+", "-", "*", "/"), seed=42, size=10
    )
    dataset = ComplexArithmeticDataset(config)

    print(dataset)

    # Test dataset size
    assert len(dataset) == 10

    # Test a specific item
    item = dataset[0]
    assert "question" in item
    assert "answer" in item
    assert "metadata" in item

    # Add more detailed assertions
    assert isinstance(item["question"], str)
    assert isinstance(item["answer"], str)
    assert isinstance(item["metadata"], dict)

    # Check metadata structure
    assert "num1" in item["metadata"]
    assert "num2" in item["metadata"]
    assert "operation" in item["metadata"]
    assert "result" in item["metadata"]

    # Check data types in metadata
    assert isinstance(item["metadata"]["num1"], tuple)
    assert isinstance(item["metadata"]["num2"], tuple)
    assert len(item["metadata"]["num1"]) == 2  # Real and imaginary parts
    assert len(item["metadata"]["num2"]) == 2
    assert isinstance(item["metadata"]["operation"], str)
    assert isinstance(item["metadata"]["result"], tuple)

    # Make sure answer matches the result in metadata
    # results is a tuple of two floats (real, imag) and answer is a string
    # answer is formatted as "real + imagi"
    assert ComplexArithmeticDataset.parse_string_to_complex(item["answer"]) == complex(*item["metadata"]["result"])


def test_complex_arithmetic_scoring():
    """Test scoring function with various answer formats and accuracies."""
    config = ComplexArithmeticConfig(seed=42)
    dataset = ComplexArithmeticDataset(config)

    # Test case with answer 3 + 2i
    entry = {"metadata": {"result": (3.0, 2.0)}}

    # Test exact matches (should get score of 1.0)
    assert dataset.score_answer("3 + 2i", entry) == 1.0
    assert dataset.score_answer("3+2i", entry) == 1.0
    assert dataset.score_answer("3.0 + 2.0i", entry) == 1.0

    # Test answers with small errors (should get high but < 1.0 scores)
    print(dataset.score_answer("3.1 + 2i", entry))
    assert 0.9 < dataset.score_answer("3.1 + 2i", entry) < 1.0
    assert 0.9 < dataset.score_answer("3 + 2.1i", entry) < 1.0
    assert 0.7 < dataset.score_answer("3.1 + 2.1i", entry) < 0.95

    # Test answers with moderate errors (should get medium scores)
    assert 0.3 < dataset.score_answer("4 + 2i", entry) < 0.4
    assert 0.3 < dataset.score_answer("3 + 3i", entry) < 0.4

    # Test answers with large errors (should get very low scores)
    assert dataset.score_answer("10 + 10i", entry) < 0.01

    # Test invalid answers (should get 0.0)
    assert dataset.score_answer("invalid", entry) == 0.0
    assert dataset.score_answer(None, entry) == 0.0
    assert dataset.score_answer("inf + 2i", entry) == 0.0


def test_complex_arithmetic_division_by_zero():
    """Test that division by zero is handled properly."""
    config = ComplexArithmeticConfig(operations=("/",), seed=42)  # Only test division
    dataset = ComplexArithmeticDataset(config)

    # Check multiple items to ensure no division by zero
    for i in range(10):
        item = dataset[i]
        num2 = complex(*item["metadata"]["num2"])
        assert num2 != 0