Feature Request: Enhanced Soft Failure support
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 618
- Forks
- 21
- Avg merge
- 14h 34m
- Merged PRs (30d)
- 7
Description
Just started experimenting with dataframely and liking a lot of what I see.
It would be great if Soft Failure support was extended in a way that makes it easy to generate failure reports for users who supply the input data.
Some ideas that sound useful to me:
- Provide a way to mark a set of columns as debug ID columns for Failure reports
- Extend FailureInfo counts and cooccurrence_counts methods with a "group_by_ids=True" or "group_by='id'" or similar parameter - if set, errors are grouped by the id columns suggested above
- it would be great if friendly names (that have a meaning to non technical users) could assigned to dy.rule
Contributor guide
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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 tracing the existing Soft Failure support and the FailureInfo counts and cooccurrence_counts methods. Clarify how callers would mark debug ID columns and assign friendly names to dy.rule, then define and test grouped failure reports; the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100