A Python Shiny application that provides functions necessary to convert verbal learning scores.
conversion_calculator provides models for things like Instruments, methods for processing csv templates, as well as some boilerplate to make it's use more simple in something like Shiny.
The calculator assumes that a user will provide a completed csv formatted similarly to the example file contained in the static folder. This template is returned by #conversion_calculator.lib.get_csv_temlate_as_str or #conversion_calculator.lib.get_csv_template_as_io.
Though I strongly recommend the use of the template to provide data to be converted, #conversion_calculator.lib.convert_spreadsheet will take any properly formatted CSV.
#conversion_calculator.lib.convert_spreadsheet will attempt to identify columns which conform to a pre-arranged structure, and when found, attempt to find other columns without values which could be 'crosswalked' to.
This is a poetry based project, and assumes a recent python (3.9 or greater), and poetry 1.5
Once python 3.9 or greater is installed, along with Poetry 1.5 or greater, you can run the tests with:
poetry run pytestsee docs/original_requirements.md for the original requirements for this project.