INNER CODE UNIT · Python

dimensions

cmu-sei/GHOSTS · experimental/grms/grms/main.py:212

            dimensions=[ScoreDimension(**d) for d in dims],
            scored_at=datetime.fromisoformat(row["scored_at"]) if row.get("scored_at") else datetime.utcnow(),
        )

    known_outcome = None
    if row.get("known_outcome_json"):
        known_outcome = KnownOutcome.model_validate_json(row["known_outcome_json"])

    cascade = []
    if row.get("cascade_responses_json"):
        cascade = [LeaderResponse(**r) for r in json.loads(row["cascade_responses_json"])]

    return SavedPrediction(
        id=UUID(row["id"]),
        created_at=datetime.fromisoformat(row["created_at"]),
        historical_date=row.get("historical_date"),
        label=row.get("label", ""),
        prediction_type=row["prediction_type"],

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