"""
Coverage tests for benchmarks/datasets/custom_dataset_template.py.

Targets all 25 missing lines (0% coverage):
- get_dataset_info()
- get_default_dataset_path()
- process_example() – normal, missing problem, missing answer, missing correct_answer
- get_question()
- get_answer() – correct_answer present, fallback to answer, empty
"""

from unittest.mock import patch

MODULE = "local_deep_research.benchmarks.datasets.custom_dataset_template"


def _make_dataset(**kwargs):
    from local_deep_research.benchmarks.datasets.custom_dataset_template import (
        CustomDataset,
    )

    return CustomDataset(**kwargs)


# ---------------------------------------------------------------------------
# Dataset metadata
# ---------------------------------------------------------------------------


class TestCustomDatasetInfo:
    def test_get_dataset_info_returns_required_keys(self):
        from local_deep_research.benchmarks.datasets.custom_dataset_template import (
            CustomDataset,
        )

        info = CustomDataset.get_dataset_info()
        assert "id" in info
        assert "name" in info
        assert "description" in info
        assert "url" in info

    def test_get_dataset_info_id_is_custom(self):
        from local_deep_research.benchmarks.datasets.custom_dataset_template import (
            CustomDataset,
        )

        info = CustomDataset.get_dataset_info()
        assert info["id"] == "custom"

    def test_get_default_dataset_path_is_string(self):
        from local_deep_research.benchmarks.datasets.custom_dataset_template import (
            CustomDataset,
        )

        path = CustomDataset.get_default_dataset_path()
        assert isinstance(path, str)
        assert len(path) > 0

    def test_dataset_info_url_matches_default_path(self):
        from local_deep_research.benchmarks.datasets.custom_dataset_template import (
            CustomDataset,
        )

        info = CustomDataset.get_dataset_info()
        assert info["url"] == CustomDataset.get_default_dataset_path()


# ---------------------------------------------------------------------------
# process_example – normal case
# ---------------------------------------------------------------------------


class TestProcessExampleNormal:
    def test_process_example_preserves_problem_and_answer(self):
        ds = _make_dataset()
        example = {"problem": "What is 2+2?", "answer": "4"}
        result = ds.process_example(example)
        assert result["problem"] == "What is 2+2?"
        assert result["answer"] == "4"

    def test_process_example_adds_correct_answer_from_answer(self):
        ds = _make_dataset()
        example = {"problem": "Q", "answer": "A"}
        result = ds.process_example(example)
        assert result["correct_answer"] == "A"

    def test_process_example_preserves_existing_correct_answer(self):
        ds = _make_dataset()
        example = {"problem": "Q", "answer": "A", "correct_answer": "CA"}
        result = ds.process_example(example)
        assert result["correct_answer"] == "CA"

    def test_process_example_does_not_modify_original(self):
        ds = _make_dataset()
        original = {"problem": "Q", "answer": "A"}
        ds.process_example(original)
        assert "correct_answer" not in original


# ---------------------------------------------------------------------------
# process_example – missing fields
# ---------------------------------------------------------------------------


class TestProcessExampleMissingFields:
    def test_missing_problem_field_added_as_empty_string(self):
        ds = _make_dataset()
        example = {"answer": "some_answer"}
        result = ds.process_example(example)
        assert result["problem"] == ""

    def test_missing_problem_logs_warning(self):
        ds = _make_dataset()
        with patch(f"{MODULE}.logger") as mock_logger:
            ds.process_example({"answer": "A"})
        mock_logger.warning.assert_called_once()
        assert "problem" in mock_logger.warning.call_args[0][0].lower()

    def test_missing_answer_field_added_as_empty_string(self):
        ds = _make_dataset()
        example = {"problem": "some_problem"}
        result = ds.process_example(example)
        assert result["answer"] == ""

    def test_missing_answer_logs_warning(self):
        ds = _make_dataset()
        with patch(f"{MODULE}.logger") as mock_logger:
            ds.process_example({"problem": "P"})
        mock_logger.warning.assert_called_once()
        assert "answer" in mock_logger.warning.call_args[0][0].lower()

    def test_missing_both_problem_and_answer(self):
        ds = _make_dataset()
        result = ds.process_example({})
        assert result["problem"] == ""
        assert result["answer"] == ""
        assert result["correct_answer"] == ""

    def test_extra_fields_preserved(self):
        ds = _make_dataset()
        example = {
            "problem": "Q",
            "answer": "A",
            "category": "math",
            "difficulty": "easy",
        }
        result = ds.process_example(example)
        assert result["category"] == "math"
        assert result["difficulty"] == "easy"


# ---------------------------------------------------------------------------
# get_question
# ---------------------------------------------------------------------------


class TestGetQuestion:
    def test_get_question_returns_problem_field(self):
        ds = _make_dataset()
        example = {"problem": "What is the capital of France?"}
        assert ds.get_question(example) == "What is the capital of France?"

    def test_get_question_returns_empty_when_missing(self):
        ds = _make_dataset()
        assert ds.get_question({}) == ""

    def test_get_question_returns_empty_string_not_none(self):
        ds = _make_dataset()
        result = ds.get_question({"other": "field"})
        assert result == ""


# ---------------------------------------------------------------------------
# get_answer
# ---------------------------------------------------------------------------


class TestGetAnswer:
    def test_get_answer_prefers_correct_answer(self):
        ds = _make_dataset()
        example = {"answer": "raw", "correct_answer": "preferred"}
        assert ds.get_answer(example) == "preferred"

    def test_get_answer_falls_back_to_answer(self):
        ds = _make_dataset()
        example = {"answer": "fallback"}
        assert ds.get_answer(example) == "fallback"

    def test_get_answer_returns_empty_when_neither_present(self):
        ds = _make_dataset()
        assert ds.get_answer({}) == ""