Add range check for dataset/attripute put
Open
enhancement
- Dominant language
- Python
- Stars
- 170
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
Verify the input values range are consistent with the type of the object (e.g. UINT_16 < 64K, etc.)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the dataset and attribute PUT entry points in the HDF5 REST service and read how input types are currently handled. Add validation so values stay within the range permitted by their object type, including the UINT_16 example, and verify that valid values remain accepted while out-of-range values are rejected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100