udf-gen-test

What problem does it solve?

This Skill removes the manual effort of building a reliable unit test harness for an Apache Spark UDF before converting it to a GPU-compatible implementation. It helps establish a clear behavioral contract for the CPU UDF so later conversion work can be validated against known inputs and outputs.

Core Features & Use Cases

• Project setup: Creates a self-contained Scala test project from the provided template and places the target UDF source in the expected package structure.
• Test implementation: Fills in unit test placeholders, replaces UDF name tokens, and builds coverage-focused test data with nulls, malformed inputs, boundary values, and mixed valid or invalid rows.
• Verification loop: Compiles, runs tests, reviews coverage, and iterates until the test suite passes and the important branches of the UDF are exercised.
• Use case: A developer with an existing Spark CPU UDF can use this Skill to generate a strong pre-conversion test specification that supports later GPU or SQL porting.

Quick Start

Provide the Java or Scala UDF source path and ask the Skill to generate the unit test project, implement the test cases, and iterate until the suite passes.