GetDataQualityResultResponse ¶

class GetDataQualityResultResponse(TypedDict, closed=True):
    result_id: NotRequired["capo_glue.types.hash_string.HashString"]
    """<p>A unique result ID for the data quality result.</p>"""
    profile_id: NotRequired["capo_glue.types.hash_string.HashString"]
    """<p>The Profile ID for the data quality result.</p>"""
    score: NotRequired["capo_glue.types.generic_bounded_double.GenericBoundedDouble"]
    """<p>An aggregate data quality score. Represents the ratio of rules that passed to the total number of rules.</p>"""
    data_source: NotRequired["capo_glue.types.data_source.DataSource"]
    """<p>The table associated with the data quality result, if any.</p>"""
    ruleset_name: NotRequired["capo_glue.types.name_string.NameString"]
    """<p>The name of the ruleset associated with the data quality result.</p>"""
    evaluation_context: NotRequired["capo_glue.types.generic_string.GenericString"]
    """<p>In the context of a job in Glue Studio, each node in the canvas is typically assigned some sort of name and data quality nodes will have names. In the case of multiple nodes, the <code>evaluationContext</code> can differentiate the nodes.</p>"""
    started_on: NotRequired["capo_glue.types.timestamp.Timestamp"]
    """<p>The date and time when the run for this data quality result started.</p>"""
    completed_on: NotRequired["capo_glue.types.timestamp.Timestamp"]
    """<p>The date and time when the run for this data quality result was completed.</p>"""
    job_name: NotRequired["capo_glue.types.name_string.NameString"]
    """<p>The job name associated with the data quality result, if any.</p>"""
    job_run_id: NotRequired["capo_glue.types.hash_string.HashString"]
    """<p>The job run ID associated with the data quality result, if any.</p>"""
    ruleset_evaluation_run_id: NotRequired["capo_glue.types.hash_string.HashString"]
    """<p>The unique run ID associated with the ruleset evaluation.</p>"""
    rule_results: NotRequired[
        "capo_glue.types.data_quality_rule_results.DataQualityRuleResults"
    ]
    """<p>A list of <code>DataQualityRuleResult</code> objects representing the results for each rule.</p>"""
    analyzer_results: NotRequired[
        "capo_glue.types.data_quality_analyzer_results.DataQualityAnalyzerResults"
    ]
    """<p>A list of <code>DataQualityAnalyzerResult</code> objects representing the results for each analyzer.</p>"""
    observations: NotRequired[
        "capo_glue.types.data_quality_observations.DataQualityObservations"
    ]
    """<p>A list of <code>DataQualityObservation</code> objects representing the anomaly detection observations generated after evaluating the rules and analyzers.</p>"""
    aggregated_metrics: NotRequired[
        "capo_glue.types.data_quality_aggregated_metrics.DataQualityAggregatedMetrics"
    ]
    """<p> A summary of <code>DataQualityAggregatedMetrics</code> objects showing the total counts of processed rows and rules, including their pass/fail statistics based on row-level results. </p>"""