"""Tests for waveform_expr module: tokenizer, parser, expression evaluator."""

import numpy as np
import pytest

from mcp_ltspice.waveform_expr import (
    WaveformCalculator,
    _tokenize,
    _TokenType,
    evaluate_expression,
)

# ---------------------------------------------------------------------------
# Tokenizer tests
# ---------------------------------------------------------------------------


class TestTokenizer:
    def test_number_tokens(self):
        tokens = _tokenize("42 3.14 1e-3")
        nums = [t for t in tokens if t.type == _TokenType.NUMBER]
        assert len(nums) == 3
        assert nums[0].value == "42"
        assert nums[1].value == "3.14"
        assert nums[2].value == "1e-3"

    def test_signal_tokens(self):
        tokens = _tokenize("V(out) + I(R1)")
        signals = [t for t in tokens if t.type == _TokenType.SIGNAL]
        assert len(signals) == 2
        assert signals[0].value == "V(out)"
        assert signals[1].value == "I(R1)"

    def test_operator_tokens(self):
        tokens = _tokenize("1 + 2 - 3 * 4 / 5")
        ops = [t for t in tokens if t.type not in (_TokenType.NUMBER, _TokenType.EOF)]
        types = [t.type for t in ops]
        assert types == [_TokenType.PLUS, _TokenType.MINUS, _TokenType.STAR, _TokenType.SLASH]

    def test_function_tokens(self):
        tokens = _tokenize("abs(V(out))")
        funcs = [t for t in tokens if t.type == _TokenType.FUNC]
        assert len(funcs) == 1
        assert funcs[0].value == "abs"

    def test_case_insensitive_functions(self):
        tokens = _tokenize("dB(V(out))")
        funcs = [t for t in tokens if t.type == _TokenType.FUNC]
        assert funcs[0].value == "db"

    def test_bare_identifier(self):
        tokens = _tokenize("time + 1")
        signals = [t for t in tokens if t.type == _TokenType.SIGNAL]
        assert len(signals) == 1
        assert signals[0].value == "time"

    def test_invalid_character_raises(self):
        with pytest.raises(ValueError, match="Unexpected character"):
            _tokenize("V(out) @ 2")

    def test_eof_token(self):
        tokens = _tokenize("1")
        assert tokens[-1].type == _TokenType.EOF


# ---------------------------------------------------------------------------
# Expression evaluator tests (scalar via numpy scalars)
# ---------------------------------------------------------------------------


class TestEvaluateExpression:
    def test_addition(self):
        result = evaluate_expression("2 + 3", {})
        assert float(result) == pytest.approx(5.0)

    def test_multiplication(self):
        result = evaluate_expression("4 * 5", {})
        assert float(result) == pytest.approx(20.0)

    def test_precedence(self):
        """Multiplication binds tighter than addition: 2+3*4=14."""
        result = evaluate_expression("2 + 3 * 4", {})
        assert float(result) == pytest.approx(14.0)

    def test_unary_minus(self):
        result = evaluate_expression("-5 + 3", {})
        assert float(result) == pytest.approx(-2.0)

    def test_nested_parens(self):
        result = evaluate_expression("(2 + 3) * (4 - 1)", {})
        assert float(result) == pytest.approx(15.0)

    def test_division_by_near_zero(self):
        """Division by near-zero uses a safe floor to avoid inf."""
        result = evaluate_expression("1 / 0", {})
        # Should return a very large number, not inf
        assert np.isfinite(result)

    def test_db_function(self):
        """dB(x) = 20 * log10(|x|)."""
        result = evaluate_expression("db(10)", {})
        assert float(result) == pytest.approx(20.0, rel=0.01)

    def test_abs_function(self):
        result = evaluate_expression("abs(-7)", {})
        assert float(result) == pytest.approx(7.0)

    def test_sqrt_function(self):
        result = evaluate_expression("sqrt(16)", {})
        assert float(result) == pytest.approx(4.0)

    def test_log10_function(self):
        result = evaluate_expression("log10(1000)", {})
        assert float(result) == pytest.approx(3.0)

    def test_signal_lookup(self):
        """Expression referencing a variable by name."""
        variables = {"V(out)": np.array([1.0, 2.0, 3.0])}
        result = evaluate_expression("V(out) * 2", variables)
        np.testing.assert_array_almost_equal(result, [2.0, 4.0, 6.0])

    def test_unknown_signal_raises(self):
        with pytest.raises(ValueError, match="Unknown signal"):
            evaluate_expression("V(missing)", {"V(out)": np.array([1.0])})

    def test_unknown_function_raises(self):
        # 'sin' is not in the supported function set -- the tokenizer treats
        # it as a signal name "sin(1)", so the error is "Unknown signal"
        with pytest.raises(ValueError, match="Unknown signal"):
            evaluate_expression("sin(1)", {})

    def test_malformed_expression(self):
        with pytest.raises(ValueError):
            evaluate_expression("2 +", {})

    def test_case_insensitive_signal(self):
        """Signal lookup is case-insensitive."""
        variables = {"V(OUT)": np.array([10.0])}
        result = evaluate_expression("V(out)", variables)
        np.testing.assert_array_almost_equal(result, [10.0])


# ---------------------------------------------------------------------------
# WaveformCalculator tests
# ---------------------------------------------------------------------------


class TestWaveformCalculator:
    def test_calc_available_signals(self, mock_rawfile):
        calc = WaveformCalculator(mock_rawfile)
        signals = calc.available_signals()
        assert "time" in signals
        assert "V(out)" in signals

    def test_calc_expression(self, mock_rawfile):
        calc = WaveformCalculator(mock_rawfile)
        result = calc.calc("V(out) * 2")
        expected = np.real(mock_rawfile.data[1]) * 2
        np.testing.assert_array_almost_equal(result, expected)

    def test_calc_db(self, mock_rawfile):
        calc = WaveformCalculator(mock_rawfile)
        result = calc.calc("db(V(out))")
        # db should produce real values
        assert np.all(np.isfinite(result))