Add support for chunked reading of Parquet and CSV files in Reader class #47
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- Implemented `get_in_chunks` method to read large datasets in manageable chunks. - Enhanced handling of Parquet files with catalog types, including type mapping for pandas dtypes to pyarrow types. - Updated CSV reading to ensure date fields are correctly parsed. - Added error handling for unsupported file types and improved user feedback for method usage. This change improves memory efficiency and flexibility when processing large ETL files.
- Consolidated logic for reading Parquet and CSV files into dedicated methods: `_process_parquet`, `_process_csv`, `_process_parquet_in_chunks`, and `_process_csv_in_chunks`. - Introduced helper methods for schema creation and type conversion, enhancing code readability and maintainability. - Improved error handling when parsing catalog types, ensuring robustness in data processing. - Streamlined the handling of data types and date parsing for both file formats. This refactor enhances the clarity and efficiency of the Reader class, making it easier to manage file input and type handling.
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get_in_chunksmethod to read large datasets in manageable chunks.This change improves memory efficiency and flexibility when processing large ETL files.