feat: add array format types and ndarray v1.1.0 annotations#36
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maxine-at-forecast merged 1 commit intodevelopfrom Feb 26, 2026
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… display Add KNOWN_ARRAY_FORMATS constant and ARRAY_FORMAT_LABELS for the six recognized array format tokens (numpyBytes, parquetBytes, sparseBytes, structuredBytes, arrowTensor, safetensors). Update row_to_schema() to surface arrayFormat, dtype, shape, and dimensionNames from the schema body as top-level fields. Update frontend templates (schema detail, schemas list, profile, dataset detail) to display format and annotation info when present. Update MCP server descriptions to mention new formats. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
KNOWN_ARRAY_FORMATSconstant andARRAY_FORMAT_LABELSdisplay-name mapping for all six recognized array format tokens (numpyBytes,parquetBytes,sparseBytes,structuredBytes,arrowTensor,safetensors)row_to_schema()to surfacearrayFormat,dtype,shape, anddimensionNamesfromschema_bodyas top-level convenience fields for templates and API consumersget_schemadocstring to describe new format typesCloses #30
Test plan
uv run pytest)uv run ruff check src/ tests/)arrayFormatin its bodyarrayFormat) render unchanged — no extra rows or columns with empty values🤖 Generated with Claude Code