We are happy to announce a new release of our Python package, pysmartdatamodels, version 0.8.1.0, with a refreshed attribute database, a smaller download, and a cleanup of some leftover dead code.
What’s New in This Version?
Refreshed Data, End to End
The package’s bundled data — the official list of data models, the attribute metadata, and the full attribute database — had gone stale. Fixing this surfaced two real issues in our own publication pipeline, now resolved:
- One data model repository had accidentally been left private, which was silently breaking the daily metadata regeneration every time it ran.
- The database backing the attribute export (see below) was far less complete than it should have been. It’s now fully backfilled: 164,926 attribute records across all 82 subjects.
As always, you don’t need to upgrade the package just to get fresh data — calling update_data() pulls the latest information directly:
from pysmartdatamodels import pysmartdatamodels as sdm
sdm.update_data()
Smaller Install, Compressed Attribute Database
The full attribute database is now shipped gzip-compressed inside the package (~5MB instead of ~110MB) — the installed package footprint drops from over 100MB to under 10MB. This is fully transparent if you use the documented functions (load_all_attributes(), description_attribute(), etc.) — nothing changes in how you call them.
The same compressed file is now also available for direct download, alongside the existing uncompressed one, from the attribute database export page.
Cleanup
Removed a small piece of dead code in generate_sql_schema() left over from an earlier implementation — no change in behavior, just a cleaner function. Thanks to the community member who originally reported it.
Get the Latest Version
Update your installation with:
pip install --upgrade pysmartdatamodels
