CsvPath promises trivial custom functions—until you're lost in config files, imports, and app restarts just to mimic 'yes()'

The CsvPath Framework, a functions-based validation language, has introduced custom functions to validate CSV, JSONL, and Excel files. This feature allows users to create unique functions to perform specific tasks, filling gaps in the framework's existing capabilities. In FlightPath Data and FlightPath Server, custom functions can be easily integrated, with scoping and sandboxing ensuring secure multi-project and multi-user environments. To create a custom function, users can edit the functions.imports file, adding a line to import the desired function, and then place the function in the correct directory. For example, creating a "sure()" function, similar to the existing "yes()" function, requires adding a line to functions.imports and placing the function in the config/example/one/yes.py file. With this feature, users can now create custom functions to meet specific needs, with support available for more complex functions. This development enhances the framework's flexibility and usability, particularly in data validation and processing applications.