Introduced a new script `sas_profiler.py` that profiles local SAS files and generates an Excel report with recommendations for drops, partitions, and indexes, along with type-inference warnings. The utility supports command-line overrides for configuration and is compatible with Python 3.10+. This addition enhances the existing tools for SAS file management.
Introduced a new script `s3_download.py` for downloading files from S3 based on a YAML configuration. The script supports recursive listing, file clustering, and customizable download behavior. Also added a sample configuration file `sample_s3_download_config.yaml` to demonstrate usage.
Introduce generate_sample_folder.py to create a test folder with clustered SAS XPORT files, including configurations for schema compatibility checks. Implement load_folder.py to facilitate loading entire directories of SAS files into Postgres, supporting explicit and auto-detect clustering. Update sample_folder_config.yaml for usage examples and configuration structure. Enhance load_sas.py with a public schema compatibility check function for orchestrators.
