Open timtebeek opened 1 year ago
In addition to the nullability information which can be determined from the declarations (Java nullability annotations or Kotlin / TypeScript types) and be amended to the JavaType
objects, there is also the aspect of the data flow analysis (e.g. do we know that this variable is null
or not null
at this point). The latter would have to be computed from the LST using a visitor. Both these sources of information are useful on their own (and can also be developed independently to some extent), but for the full benefit, it would be great if recipes could rely on the combined result of both these components when making a decision on how to generate a certain piece of code.
Note that native null restricted and null-types is coming to the language soon. https://openjdk.org/jeps/8303099. After drops https://openjdk.org/jeps/492 so JDK 24/25/26? Probably worth getting started on this sooner rather than later imo.
Kotlin quite clearly has explicit nullability, but some Java projects can somewhat express the same with nullability annotations. In addition to that we can deduce nullabillity once for instance a method has been called on an object.
It would be great if we could capture and expose this information through our type system, such that recipes can query this when inserting code snippets. Notably this came up recently in https://github.com/apache/maven-pmd-plugin/pull/124#issuecomment-1515133417, where we want to forgo adding null checks where they are not needed. Ideally this is something we determine ahead of time, even if limited.
Once exposed we can also write clean up recipes that remove excessive null checks. Even if we start small (for instance only looking at Kotlin types, or some nullability annotations, then we can gradually expand this over time, to bring more value to repeatedly running recipes that use this information.
I've not looked at implementation specifics yet, merely discussed this with Knut as it came up recently for Kotlin on Slack.