python-dual-mode

To make a Python script importable and runnable as a CLI, you refactor it into a dual-mode module with an explicit run() function and an argparse-based CLI interface. This allows the same module to be executed directly or imported by other projects.

Refactoring Python scripts for data processing pipelines involves removing hard-coded paths and exposing parameterized inputs. By enforcing an explicit run() function and a structured, testable module architecture, scripts become stable and maintainable for job schedulers.

Converting an ETL script into a reusable module requires wrapping its logic in a dual-mode structure. This exposes a parameterized run() function so the code can be safely imported as a library and integrated into external job schedulers without hard-coded dependencies.

Yes, you can use argparse to build a CLI for an importable Python module. A dual-mode architecture uses argparse to handle command-line execution while keeping the underlying run() function fully overridable for safe library imports and testing.

Converting a Python script to dual-mode requires no external dependencies. The refactoring process relies on standard Python features like argparse to generate a self-contained, importable module that functions as both a CLI tool and a library.

You should avoid hard-coded paths in data processing scripts to ensure safe, parameterized operations. Replacing them with configurable arguments allows the dual-mode module to run reliably across different environments and be imported without side effects.