from app.schemas.cross_validation import CrossValidationReport, EngineStatus, EquivalenceStatus, ConfidenceImpact
from app.services.cross_validation_numeric_adapter import cross_validation_report_to_numeric_check


def test_cross_validation_report_becomes_valid_numeric_check() -> None:
    report = CrossValidationReport(
        student_extracted_answer="3",
        llm_solved_answer="{3}",
        llm_solution_status=EngineStatus.OK,
        wolfram_query="Solve[3 x - 9 == 0, x]",
        wolfram_status=EngineStatus.OK,
        wolfram_reference_result="x = 3",
        student_vs_wolfram=EquivalenceStatus.EQUIVALENT,
        llm_vs_wolfram=EquivalenceStatus.EQUIVALENT,
        student_vs_llm=EquivalenceStatus.EQUIVALENT,
        comparison_method="controlled_school_rule",
        confidence_impact=ConfidenceImpact.INCREASE,
        needs_human_review=False,
        reason="consistent",
    )
    check = cross_validation_report_to_numeric_check(report)
    assert check.check_type == "equivalence"
    assert check.is_valid is True
    assert check.expression == "3"
    assert check.expected == "x = 3"
    assert check.confidence_impact == "increase"
    assert check.human_review_reason is None