Call generated Dataframe interface wrappers based on AI suggestions
Open
Nobody has claimed this yet.
enhancement
research
- Dominant language
- Kotlin
- Stars
- 1.1k
- Forks
- 83
- Avg merge
- 4d 12h
- Merged PRs (30d)
- 30
Description
Problem. Now dataframe generated interfaces have names like DataFrameTypeXXX. They are too generic and non-descriptive.
However, it could be named better if we base on the column names of the dataframe. ChatGPT solves this task pretty well:
It could be not embedded functionality but SPI-loadable extension.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating how DataFrameTypeXXX interfaces are generated and review the project's extension or SPI-loading architecture. Define how column names should produce descriptive wrapper names, then determine whether the behavior belongs in the core or an SPI-loadable extension; completion requires an agreed design and implementation path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kotlin
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100