def successMetricsAsJson()

in pydeequ/verification.py [0:0]

10 lines of code
2 McCabe index (conditional complexity)


    def successMetricsAsJson(cls, spark_session: SparkSession, verificationResult, forAnalyzers: list = None):
        """
        The results returned in a JSON

        :param SparkSession spark_session: Sparksession
        :param verificationResult: Result of the verification Run()
        :param forAnalyzers: Subset of Analyzers from the Analysis Run
        :return: JSON of the verification Run()
        """
        if forAnalyzers:
            raise NotImplementedError("forAnalyzers have not been implemented yet.")
        forAnalyzers = getattr(
            spark_session._jvm.com.amazon.deequ.VerificationResult, "successMetricsAsJson$default$2"
        )()
        df = spark_session._jvm.com.amazon.deequ.VerificationResult.successMetricsAsJson(
            verificationResult.verificationRun, forAnalyzers
        )
        return json.loads(df)