Noto Sans wordmark on brand green (#2F7D34), white sprout, and the official
value tagline ('keep and share traditional seeds' / 'guarda y comparte...').
Generated by tool/gen_feature_graphic.py for en-US and es-ES.
- Hugo site (site/): EN/ES intro + legal (generated from docs/legal), an
ES/EN About page from docs/{que-es-tane,what-is-tane}.md, seed-green theme,
responsive header, store-badge placeholders, multi-stage Hugo->nginx image.
- Golden screenshot harness (test/screenshots/): en,es,fr,de,pt,ja + RTL demo,
real fonts via DejaVu Sans + FontManifest; skip-by-default tag so CI stays
green. collect_screenshots.sh feeds site/ and fastlane phoneScreenshots.
- Drop editorial notes from the public explainer.
Public name is now Tane (種, "seed"); Tanemaki (種まき, "to scatter seeds")
is kept only as etymology in the About screen and onboarding.
App not yet distributed, so format tokens rename cleanly with no migration:
backup extension .tanemaki→.tane, QR scheme tanemaki://→tane://, file
prefixes tane-*. Website link and species-catalog User-Agent →
tane.comunes.org. Android label capitalised to "Tane".
Identity/crypto constants already use org.comunes.tane (derivation, HKDF
backup, sync namespace, TANE1 recovery tag) — left untouched, so keys,
backups and sync are unaffected. Tests updated; analyze + full suite green.
Grow the bundled species catalog from 14 hand-curated entries to ~1200
edible/cultivated species, internationalized in 13 languages (es, en, fr,
de, it, pt, ca, gl, eu, ar, zh, ja, ru — Latin + Arabic RTL + CJK + Cyrillic).
- Add a reproducible generator (tool/gen_species_catalog.dart) that queries
Wikidata (CC0, no attribution burden) in two phases, filters out
non-vernacular noise (author citations, ranks, initials) and applies a
relevance floor, then merges hand-curated, authoritative core-crop data
(tool/curated_overrides.json: names, family, viability_years). GBIF is used
only as an identifier. The generated species.json (v3) is committed.
- Carry wikidata_qid and gbif_key through the parse/seed pipeline; the columns
already existed, so no DB migration.
- Rewrite seedBundled to one read + one batch (was a SELECT per species on
every startup — a real cost at ~1200 rows) and keep it idempotent with
backfill of the new reference fields.
- Move species search filtering to SQL (LIKE) so a large catalog is not pulled
into memory on every keystroke.
- Cover the generator transform, the generated asset, and the new fields with
tests.
