Process MicroBatch OOP Example

process_micro_batch_pseudocode.py

from abc import ABC, abstractmethod
from pyspark.sql.dataframe import DataFrame as SparkFrame

class Processor(ABC):

    @abstractmethod
    def process_batch(self, df: SparkFrame, epochID: str)-> None:
        raise NotImplementedError

class RealTimeInferenceProcessor(Processor):

    def __init__(self):
        self.feature_store = initialize_feature_store()

    def process_batch(self, df: SparkFrame, epochID: str) -> None:
        """
        Concrete implementation of the stream query’s micro batch processing logic.

        Args:
            df (SparkFrame): The micro-batch Spark DataFrame to process.
            epochID (str): An identifier for the batch.
        """
        compute_online_features(df, self.feature_store)

        forward_micro_batch_to_job_queue(df)