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tseader avatar tseader commented on August 16, 2024

Here's what I came up with to get around the situation:

def create_compute_cluster(db_client: WorkspaceClient, cluster_conf: dict) -> str:
    cc = CreateCluster.from_dict(cluster_conf)
    refactored_input = dict()
    for field in list(cc.__dataclass_fields__.keys()):
        refactored_input[field] = cc.__getattribute__(field)
    return db_client.clusters.create_and_wait(**refactored_input, timeout=CLUSTER_UP_TIMEOUT)

I could also see the function reading the json file more like this:

def create_compute_cluster(db_client: WorkspaceClient, create_config_path: dict) -> str:
    with open(create_config_path) as file:
        create_config = json.load(file)
    cc = CreateCluster.from_dict(create_config)
    refactored_input = dict()
    for field in list(cc.__dataclass_fields__.keys()):
        refactored_input[field] = cc.__getattribute__(field)
    return db_client.clusters.create_and_wait(**refactored_input, timeout=CLUSTER_UP_TIMEOUT)

What may make sense is some additional functions in ClustersAPI class unless overloading is preferred using multipledispatch. All this assumes there's a need outside my own to do this type of pattern. 🤷

from databricks-sdk-py.

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