python/pyspark/pipelines/flow.py

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from dataclasses import dataclass
from typing import Callable, Dict

from pyspark.sql import DataFrame
from pyspark.pipelines.source_code_location import SourceCodeLocation

QueryFunction = Callable[[], DataFrame]


@dataclass(frozen=True)
class Flow:
    """Definition of a flow in a pipeline dataflow graph. A flow defines how to update a particular
    dataset.

    :param name: The name of the flow.
    :param target: The name of the target dataset the flow writes to.
    :param spark_conf: A dict where the keys are the Spark configuration property names and the
        values are the property values. These properties will be set on the flow.
    :param source_code_location: The location of the source code that created this flow.
    :param func: The function that defines the flow. This function should return a DataFrame.
    """

    name: str
    target: str
    spark_conf: Dict[str, str]
    source_code_location: SourceCodeLocation
    func: QueryFunction