csv-to-babeltests: --resolve-from-label (NameRes-assisted CURIE population)

[gaurav]

Summary

When a CSV has label/name columns but no CURIE column (or a sparsely-populated one), the tool should fall back to a NameRes lookup(label, limit=1) call to fill in the CURIE automatically.

Proposed interface

csv-to-babeltests input.csv \
  --label-column "Gene Name" \
  --resolve-from-label            # use NameRes to fill --curie-column
  --target dev

If --label-column is set and --curie-column is absent or the CURIE cell is empty for a given row, call CachedNameRes.lookup(label, limit=1) and use the top result's curie field as the CURIE for that row. Emit a # resolved from label: <label> comment (or a stderr note) for traceability.

Implementation notes

• CachedNameRes already exists at src/babel_validation/services/nameres.py; its lookup() method returns a list of {curie, label, score, ...} dicts — take result[0]["curie"] when the list is non-empty.
• load_nodenorm_url in csv_to_babeltests.py could be extended to also return the NameResURL from targets.ini (it's already in every target section).
• Should warn to stderr when no result is found (lookup returns []).
• Useful for workflows where only names/synonyms are available, e.g. spreadsheets exported from literature-mining tools.

Related

This tool is being developed at #77