create_governance_config

Public callable

Create governance policy defaults for FabricOps runtime checks.

Parameters:

Name	Type	Description	Default
required_classification	bool	Whether dataset classification is required by default in governance validation and handover checks.	True
sensitivity_rules	dict[str, str] | None	Optional sensitivity mapping such as column-pattern to expected label. None produces an empty mapping.	None

Returns:

Type	Description
GovernanceConfig	Immutable governance-policy configuration.

Notes

This helper only defines policy defaults and does not query metadata services, create Fabric assets, or perform IO.

Examples:

>>> gov = create_governance_config(
...     required_classification=True,
...     sensitivity_rules={"customer_email": "Confidential"},
... )
>>> gov.required_classification
True

Source code in src/fabricops_kit/config.py

def create_governance_config(
    required_classification: bool = True,
    sensitivity_rules: dict[str, str] | None = None,
) -> GovernanceConfig:
    """Create governance policy defaults for FabricOps runtime checks.

    Parameters
    ----------
    required_classification : bool, default=True
        Whether dataset classification is required by default in governance
        validation and handover checks.
    sensitivity_rules : dict[str, str] | None, optional
        Optional sensitivity mapping such as column-pattern to expected label.
        ``None`` produces an empty mapping.

    Returns
    -------
    GovernanceConfig
        Immutable governance-policy configuration.

    Notes
    -----
    This helper only defines policy defaults and does not query metadata
    services, create Fabric assets, or perform IO.

    Examples
    --------
    >>> gov = create_governance_config(
    ...     required_classification=True,
    ...     sensitivity_rules={"customer_email": "Confidential"},
    ... )
    >>> gov.required_classification
    True
    """
    return GovernanceConfig(
        required_classification=bool(required_classification),
        sensitivity_rules=dict(sensitivity_rules or {}),
    )