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runtime

Runtime model for Datalayer.

Provides data structures for runtime model in Datalayer.

class RuntimeModel(*, name: str, environment: str = 'python-cpu-env', time_reservation: float = 10.0, run_url: str = 'https://prod1.datalayer.run', iam_url: str | None = None, token: str | None = None, external_token: str | None = None, pod_name: str | None = None, ingress: str | None = None, reservation_id: str | None = None, uid: str | None = None, burning_rate: float | None = None, jupyter_token: str | None = None, started_at: str | None = None, expired_at: str | None = None, runtime: Dict[str, Any] | None = <factory>, kernel_client: Any | None = None, kernel_id: str | None = None, executing: bool = False, url: str = 'https://prod1.datalayer.run', credits_per_second: float = 1, extra: Dict[str, Any] | None = None) -> None​

Model representing a Datalayer Runtime configuration and state.

This model encapsulates both the configuration parameters and runtime state for a Datalayer runtime, including resource allocation, time limits, service endpoints, and execution state.

Config()​

Pydantic configuration for RuntimeModel.

credits_limit​

Calculate the credits limit based on burning rate and time reservation.

Returns​

  • Optional[float]

    The credits limit, or None if burning_rate is not set.