from unittest.mock import MagicMock

import pytest

from evaluations.evaluators.map import MAPEvaluator
from evaluations.evaluators.number_match import NumberMatchEvaluator


class TestMAPEvaluator:
    def setup_method(self) -> None:
        self.evaluator = MAPEvaluator()

    def _make_ctx(
        self, relevant_uris: list[str], retrieved_uris: list[str]
    ) -> MagicMock:
        ctx = MagicMock()
        ctx.metadata = {"relevant_uris": relevant_uris}
        ctx.output = retrieved_uris
        return ctx

    def test_perfect_single_doc(self) -> None:
        ctx = self._make_ctx(["doc1"], ["doc1", "doc2", "doc3"])
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_perfect_two_docs(self) -> None:
        # Both relevant at positions 1 and 2: P@1=1/1, P@2=2/2 → AP = (1+1)/2 = 1.0
        ctx = self._make_ctx(["doc1", "doc2"], ["doc1", "doc2", "doc3"])
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_one_relevant_at_second_position(self) -> None:
        # 1 relevant doc at position 2: P@2=1/2 → AP = 0.5/1 = 0.5
        ctx = self._make_ctx(["doc2"], ["doc1", "doc2", "doc3"])
        assert self.evaluator.evaluate(ctx) == 0.5

    def test_two_relevant_with_gap(self) -> None:
        # Relevant at positions 1 and 3: P@1=1/1, P@3=2/3 → AP = (1 + 2/3)/2
        ctx = self._make_ctx(["doc1", "doc3"], ["doc1", "doc2", "doc3"])
        expected = (1.0 + 2 / 3) / 2
        assert self.evaluator.evaluate(ctx) == pytest.approx(expected)

    def test_no_relevant_found(self) -> None:
        ctx = self._make_ctx(["doc_x"], ["doc1", "doc2", "doc3"])
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_empty_retrieved(self) -> None:
        ctx = self._make_ctx(["doc1"], [])
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_none_metadata(self) -> None:
        ctx = MagicMock()
        ctx.metadata = None
        ctx.output = ["doc1"]
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_empty_relevant_uris(self) -> None:
        ctx = self._make_ctx([], ["doc1", "doc2"])
        assert self.evaluator.evaluate(ctx) == 0.0


class TestNumberMatchEvaluator:
    def setup_method(self) -> None:
        self.evaluator = NumberMatchEvaluator()

    def _make_ctx(self, expected: str, output: str) -> MagicMock:
        ctx = MagicMock()
        ctx.expected_output = expected
        ctx.output = output
        return ctx

    def test_exact(self) -> None:
        assert self.evaluator.evaluate(self._make_ctx("127.4", "127.4")) == 1.0

    def test_within_tolerance(self) -> None:
        ctx = self._make_ctx("127.4", "about $127.40 per transaction")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_outside_tolerance(self) -> None:
        ctx = self._make_ctx("127.4", "the answer is 150")
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_picks_matching_candidate_among_many(self) -> None:
        ctx = self._make_ctx("50.3", "In 2008 it grew from 27.0 to 50.3 percent")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_percent_answer_matches_decimal_gold(self) -> None:
        ctx = self._make_ctx("0.935", "the cumulative total return was 93.5%")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_percent_answer_matches_percent_gold(self) -> None:
        ctx = self._make_ctx("24.691358024691358", "approximately 24.69% of production")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_non_numeric_prediction(self) -> None:
        ctx = self._make_ctx("127.4", "I cannot determine the value")
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_non_numeric_gold(self) -> None:
        ctx = self._make_ctx("not a number", "127.4")
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_negative_match(self) -> None:
        ctx = self._make_ctx("-12.3", "the change was (12.3)")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_sign_insensitive_against_inconsistent_gold(self) -> None:
        # gold stores this decrease as +0.2; model declares the signed -0.2
        ctx = self._make_ctx("0.1999999999999993", "declined 0.2 pp\nANSWER: -0.2")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_bare_percent_matches_decimal_gold(self) -> None:
        # model declares the percentage without a % sign; gold is the decimal
        ctx = self._make_ctx("0.3781", "growth was 37.81%\nANSWER: 37.81")
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_scale_mismatch_does_not_flip_genuine_error(self) -> None:
        ctx = self._make_ctx("30.443", "ANSWER: 2330.8%")
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_answer_line_ignores_reasoning_distractors(self) -> None:
        # gold matches a distractor in the body, but the declared answer is wrong
        ctx = self._make_ctx(
            "0.728",
            "Finished goods were 72.8% of inventory.\nANSWER: 82.8%",
        )
        assert self.evaluator.evaluate(ctx) == 0.0

    def test_answer_line_used_when_correct(self) -> None:
        ctx = self._make_ctx(
            "0.935",
            "The graph shows growth to 193.5.\n\nANSWER: 93.5%",
        )
        assert self.evaluator.evaluate(ctx) == 1.0

    def test_falls_back_to_full_text_without_answer_line(self) -> None:
        ctx = self._make_ctx("127.4", "The average works out to $127.40 each.")
        assert self.evaluator.evaluate(ctx) == 1.0