data_boundary_audit
data_boundary_audit
¶
Application data-boundary diagnostics for OpenJarvis.
The report builder intentionally limits itself to configuration values, environment-key presence, and file existence. It never reads private user content from connector credential files, memory files, trace databases, logs, or other local runtime stores.
Classes¶
DataBoundaryFinding
dataclass
¶
DataBoundaryFinding(id: str, status: Status, title: str, potential_data_path: str, evidence: str, recommendation: str, location: str = '', absolute_location: str = '')
One application data-boundary finding.
Functions¶
to_dict
¶
Return a stable JSON-serializable representation.
Absolute paths and connector basenames are redacted by default. When
show_paths is true, the location field exposes the absolute path for
local debugging.
Source code in src/openjarvis/security/data_boundary_audit.py
DataBoundaryReport
dataclass
¶
DataBoundaryReport(verdict: str, root: str, config_loaded: bool, findings: tuple[DataBoundaryFinding, ...])
Structured result returned by the data-boundary audit.
Functions¶
summary
¶
to_dict
¶
Return a stable JSON-serializable representation.
Source code in src/openjarvis/security/data_boundary_audit.py
Functions¶
build_data_boundary_report
¶
build_data_boundary_report(config: Any, root: Path | None, *, config_loaded: bool = True, config_error: str = '', root_error: str = '') -> DataBoundaryReport
Build a data-boundary report from config and runtime paths.
The function is side-effect-free. It uses defensive getattr access so
the command remains robust across configuration additions.
Source code in src/openjarvis/security/data_boundary_audit.py
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