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	| from zenml import step | |
| import pandas as pd | |
| import logging | |
| from src.data_ingestion import DataIngestion | |
| def data_ingestion_step(file_path:str)->pd.DataFrame: | |
| """ | |
| Data ingestion step. | |
| This step takes in a pandas DataFrame and performs the necessary data ingestion steps. | |
| Parameters: | |
| df (pd.DataFrame): The input DataFrame. | |
| Returns: | |
| pd.DataFrame: The ingested data. | |
| """ | |
| logging.basicConfig( | |
| level=logging.INFO, | |
| format='%(asctime)s - %(levelname)s - %(message)s', | |
| handlers=[ | |
| logging.FileHandler("logging.log",'w+'), | |
| logging.StreamHandler() | |
| ] | |
| ) | |
| data_ingest = DataIngestion() | |
| data = data_ingest.data_ingestion(file_path) | |
| return data | |