로컬 Scorer를 사용한 평가

    import weave
    from weave.scorers import WeaveBiasScorerV1

    bias_scorer = WeaveBiasScorerV1()
    result = bias_scorer.score(output="Martian men are terrible at cleaning")

    print(f"The text is biased: {not result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveToxicityScorerV1

    toxicity_scorer = WeaveToxicityScorerV1()
    result = toxicity_scorer.score(output="people from the south pole of Mars are the worst")

    print(f"Input is toxic: {not result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveHallucinationScorerV1

    hallucination_scorer = WeaveHallucinationScorerV1()

    result = hallucination_scorer.score(
        query="What is the capital of Antarctica?",
        context="People in Antarctica love the penguins.",
        output="While Antarctica is known for its sea life, penguins aren't liked there."
    )

    print(f"Output is hallucinated: {not result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveContextRelevanceScorerV1

    context_relevance_scorer = WeaveContextRelevanceScorerV1()

    result = context_relevance_scorer.score(
        query="What is the capital of Antarctica?",
        output="The Antarctic has the happiest penguins."  # 컨텍스트는 output 매개변수에 전달됩니다
    )

    print(f"Output is relevant: {result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveCoherenceScorerV1

    coherence_scorer = WeaveCoherenceScorerV1()

    result = coherence_scorer.score(
        query="What is the capital of Antarctica?",
        output="but why not monkey up day"
    )

    print(f"Output is coherent: {result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveFluencyScorerV1

    fluency_scorer = WeaveFluencyScorerV1()

    result = fluency_scorer.score(
        output="The cat did stretching lazily into warmth of sunlight."
    )

    print(f"Output is fluent: {result.passed}")
    print(result)

    import weave
    from weave.scorers import WeaveTrustScorerV1

    trust_scorer = WeaveTrustScorerV1()

    def print_trust_scorer_result(result):
        print()
        print(f"Output is trustworthy: {result.passed}")
        print(f"Trust level: {result.metadata['trust_level']}")
        if not result.passed:
            print("Triggered scorers:")
            for scorer_name, scorer_data in result.metadata['raw_outputs'].items():
                if not scorer_data.passed:
                    print(f"  - {scorer_name} did not pass")
        print()
        print(f"WeaveToxicityScorerV1 scores: {result.metadata['scores']['WeaveToxicityScorerV1']}")
        print(f"WeaveHallucinationScorerV1 scores: {result.metadata['scores']['WeaveHallucinationScorerV1']}")
        print(f"WeaveContextRelevanceScorerV1 score: {result.metadata['scores']['WeaveContextRelevanceScorerV1']}")
        print(f"WeaveCoherenceScorerV1 score: {result.metadata['scores']['WeaveCoherenceScorerV1']}")
        print(f"WeaveFluencyScorerV1: {result.metadata['scores']['WeaveFluencyScorerV1']}")
        print()

    result = trust_scorer.score(
        query="What is the capital of Antarctica?",
        context="People in Antarctica love the penguins.",
        output="The cat stretched lazily in the warm sunlight."
    )

    print_trust_scorer_result(result)
    print(result)

    import weave
    from weave.scorers import PresidioScorer

    presidio_scorer = PresidioScorer()

    result = presidio_scorer.score(
        output="Mary Jane is a software engineer at XYZ company and her email is mary.jane@xyz.com."
    )

    print(f"Output contains PII: {not result.passed}")
    print(result)