values["api_url"] = api_url
        return values
    def post(self, request: Any) -> Any:
        # See https://docs.databricks.com/machine-learning/model-serving/score-model-serving-endpoints.html
        wrapped_request = {"dataframe_records": [request]}
        response = self.post_raw(wrapped_request)["predictions"]
        # For a single-record query, the result is not a list.
        if isinstance(response, list):
            response = response[0]
        return response
class _DatabricksClusterDriverProxyClient(_DatabricksClientBase):
    """An API client that talks to a Databricks cluster driver proxy app."""
    host: str
    cluster_id: str
    cluster_driver_port: str
    @root_validator(pre=True)
    def set_api_url(cls, values: Dict[str, Any]) -> Dict[str, Any]:
        if "api_url" not in values:
            host = values["host"]
            cluster_id = values["cluster_id"]
            port = values["cluster_driver_port"]
            api_url = f"https://{host}/driver-proxy-api/o/0/{cluster_id}/{port}"
            values["api_url"] = api_url
        return values
    def post(self, request: Any) -> Any:
        return self.post_raw(request)
[docs]def get_repl_context() -> Any:
    """Gets the notebook REPL context if running inside a Databricks notebook.
    Returns None otherwise.
    """
    try:
        from dbruntime.databricks_repl_context import get_context
        return get_context()
    except ImportError:
        raise ValueError(
            "Cannot access dbruntime, not running inside a Databricks notebook."
        )
[docs]def get_default_host() -> str: