104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
from unittest.mock import MagicMock
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import pytest
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from evaluations.evaluators.map import MAPEvaluator
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from evaluations.evaluators.mrr import MRREvaluator
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class TestMRREvaluator:
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def setup_method(self) -> None:
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self.evaluator = MRREvaluator()
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def _make_ctx(
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self, relevant_uris: list[str], retrieved_uris: list[str]
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) -> MagicMock:
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ctx = MagicMock()
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ctx.metadata = {"relevant_uris": relevant_uris}
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ctx.output = retrieved_uris
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return ctx
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def test_first_result_relevant(self) -> None:
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ctx = self._make_ctx(["doc1"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 1.0
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def test_second_result_relevant(self) -> None:
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ctx = self._make_ctx(["doc2"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 0.5
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def test_third_result_relevant(self) -> None:
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ctx = self._make_ctx(["doc3"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == pytest.approx(1 / 3)
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def test_no_relevant_found(self) -> None:
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ctx = self._make_ctx(["doc_x"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_empty_retrieved(self) -> None:
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ctx = self._make_ctx(["doc1"], [])
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_multiple_relevant_returns_first_match(self) -> None:
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ctx = self._make_ctx(["doc2", "doc3"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 0.5
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def test_none_metadata(self) -> None:
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ctx = MagicMock()
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ctx.metadata = None
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ctx.output = ["doc1"]
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_empty_relevant_uris(self) -> None:
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ctx = self._make_ctx([], ["doc1", "doc2"])
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assert self.evaluator.evaluate(ctx) == 0.0
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class TestMAPEvaluator:
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def setup_method(self) -> None:
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self.evaluator = MAPEvaluator()
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def _make_ctx(
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self, relevant_uris: list[str], retrieved_uris: list[str]
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) -> MagicMock:
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ctx = MagicMock()
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ctx.metadata = {"relevant_uris": relevant_uris}
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ctx.output = retrieved_uris
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return ctx
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def test_perfect_single_doc(self) -> None:
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ctx = self._make_ctx(["doc1"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 1.0
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def test_perfect_two_docs(self) -> None:
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# Both relevant at positions 1 and 2: P@1=1/1, P@2=2/2 → AP = (1+1)/2 = 1.0
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ctx = self._make_ctx(["doc1", "doc2"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 1.0
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def test_one_relevant_at_second_position(self) -> None:
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# 1 relevant doc at position 2: P@2=1/2 → AP = 0.5/1 = 0.5
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ctx = self._make_ctx(["doc2"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 0.5
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def test_two_relevant_with_gap(self) -> None:
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# Relevant at positions 1 and 3: P@1=1/1, P@3=2/3 → AP = (1 + 2/3)/2
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ctx = self._make_ctx(["doc1", "doc3"], ["doc1", "doc2", "doc3"])
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expected = (1.0 + 2 / 3) / 2
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assert self.evaluator.evaluate(ctx) == pytest.approx(expected)
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def test_no_relevant_found(self) -> None:
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ctx = self._make_ctx(["doc_x"], ["doc1", "doc2", "doc3"])
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_empty_retrieved(self) -> None:
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ctx = self._make_ctx(["doc1"], [])
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_none_metadata(self) -> None:
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ctx = MagicMock()
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ctx.metadata = None
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ctx.output = ["doc1"]
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assert self.evaluator.evaluate(ctx) == 0.0
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def test_empty_relevant_uris(self) -> None:
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ctx = self._make_ctx([], ["doc1", "doc2"])
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assert self.evaluator.evaluate(ctx) == 0.0
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