Class ExperimentRolloutSerializer

api/experimentation/serializers.py:220–246

class ExperimentRolloutSerializer(serializers.Serializer):  # type: ignore[type-arg]
    enabled = serializers.BooleanField(required=True)
    rollout_percentage = serializers.FloatField(
        required=True, min_value=0, max_value=100
    )
    feature_state_value = FeatureValueSerializer(required=True)
    multivariate_feature_state_values = MultivariateValueSerializer(
        many=True, required=False
    )

    @staticmethod
    def to_spec(data: dict[str, Any], request: Any) -> RolloutSpec:
        value = data["feature_state_value"]
        return RolloutSpec(
            enabled=data["enabled"],
            rollout_percentage=data["rollout_percentage"],
            feature_state_value=value["value"],
            value_type=value["type"],
            multivariate_values=[
                MultivariateValueChangeSet(
                    multivariate_feature_option_id=mv["multivariate_feature_option"],
                    percentage_allocation=mv["percentage_allocation"],
                )
                for mv in data.get("multivariate_feature_state_values", [])
            ],
            author=AuthorData.from_request(request),
        )


class ExperimentSerializer(serializers.ModelSerializer):  # type: ignore[type-arg]