Claude/schema registry meta model 2upt56#29
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tests/fixtures/bbqs_sample.jsonld: real BBQS sample dataset with
Investigator, FundedProject, Organization, Device, Dataset, Publication,
and Software entities in JSON-LD format.
tests/test_transform.py: 13 tests covering transform_record() for every
meaningful BBQS → {bids, nwb, dandi} combination. Registry is patched
with a minimal offline fixture (no live DB or network required):
- Investigator → BIDS Participant: core fields map, bbqs-specific unmapped
- Investigator → NWB: no alignment, warning returned
- Dataset → BIDS/DANDI/NWB: shared fields map, modality gaps detected
- Device → NWB: exact match, name+modality map cleanly
- Device → BIDS: no alignment, warning returned
- Edge cases: unknown schema, empty record, all three targets reachable
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EXeTeJsXisxTRXay6EoBSQ
New "BBQS Live Demo" tab (default) in the Transform view lets users
pick a real BBQS entity (Investigator, Dataset, Device, FundedProject,
Software), choose a target schema, and see field-level mapping results
instantly — entirely in-browser using the registry's alignment edges.
Mirrors the Python transform_record() algorithm:
- Finds BBQS source classes from allClasses
- Follows ALIGNED_TO edges to target classes (distance <= 0.6)
- Case-insensitive property name matching
- Shows mapped fields table (with value + via-alignment annotation),
unmapped field chips, and a "Download mapped JSON" button
Sample data comes from the BBQS bbqssampledataset_1.jsonld fixture.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EXeTeJsXisxTRXay6EoBSQ
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