Profiling Attribute Rule Performance

Hayden Welch

I frequently use the builtin Time() function to test rule performance during validation, but that's only one test case.

I decided to build a Python tool that will do this profiling for you, it will disable all rules but the one being tested and trigger a row update on all features in the provided datasource (this will obviously only work for rules that are set to trigger on Update). The final output for each tested feature will be an agregate features/second count for the ruleset.

Included are several helper classes:

AttributeRule

@dataclass
class AttributeRule:
    _parent: str
    batch: bool
    checkParameters: dict[str, str]
    creationTime: str
    description: str
    errorMessage: str
    errorNumber: int
    evaluationOrder: int
    excludeFromClientEvaluation: bool
    fieldName: str
    id: int
    isEnabled: bool
    name: str
    referencesExternalService: bool
    requiredGeodatabaseClientVersion: str
    scriptExpression: str
    severity: int
    subtypeCode: int
    subtypeCodes: list[int]