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Evaluation

doublegate_sdk.runtime

Bounded literal checks. Results are evidence, not an admission decision.

EvaluationError

Bases: DoublegateError, ValueError

A fixed diagnostic, never containing input text.

Source code in src/doublegate_sdk/runtime.py 
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class EvaluationError(DoublegateError, ValueError):
    """A fixed diagnostic, never containing input text."""
    @property
    def kind(self):
        return str(self.args[0]) if self.args else 'evaluation_error'

kind property 

kind

evaluate 

evaluate(package: GatePackage, content: str, artifact_type: str) -> ScanResult

Match all required strings, case-sensitively, without regex or execution.

Callers supply a validated package. Human-review requirements remain metadata; a clean check does not satisfy them or authorize publication. No body is returned.

Source code in src/doublegate_sdk/runtime.py 
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def evaluate(package: GatePackage, content: str, artifact_type: str) -> ScanResult:
    """Match all required strings, case-sensitively, without regex or execution.

    Callers supply a validated package. Human-review requirements remain metadata;
    a clean check does not satisfy them or authorize publication. No body is returned.
    """
    if artifact_type not in package.artifact_types:
        raise EvaluationError('unsupported_artifact_type')
    if type(content) is not str:
        raise EvaluationError('invalid_input_type')
    if len(content) > package.max_input_bytes:
        raise EvaluationError('input_too_large')
    try:
        size = len(content.encode('utf-8'))
    except UnicodeEncodeError:
        raise EvaluationError('invalid_utf8') from None
    if size > package.max_input_bytes:
        raise EvaluationError('input_too_large')
    findings = tuple(Finding('required-text', 'warning', f'required_text_missing: check {i}')
                     for i, text in enumerate(package.required_text) if text not in content)
    return ScanResult('flagged' if findings else 'clean', findings)