Three schools is not a neighbourhood in inner London, so the cap is six with
three visible and arrows for the rest.
Raising the cap exposes something the old cap hid. Tiers exist to reach a
usable set, and with six slots a naive loop would keep widening to fill them
— dragging in tier-3 schools ten miles away to sit beside three good matches
that had already earned the row. So tiers now stop relaxing once three are
found, and the remaining slots are filled only from the tiers already used.
Four tier-1 matches never open tier 2.
The carousel scrolls a list rather than swapping a view: all six cards are in
the initial HTML, so every link stays crawlable and the row still scrolls with
JavaScript off. The arrows' edge test carries an 8px tolerance because the
scroller's focus-ring padding is the first snap position — a row at rest
reports scrollLeft 2, and an exact test for 0 left the back arrow live and
pointing nowhere. Caught in the mockup.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The "how these schools are chosen" panel restated what the section already
shows — the phase in the lede, the shared characteristics on each card, the
distance above each name — so it cost space to say nothing new.
One line survives, and it is not a method note. A reader who sees "0.6 miles
away" and takes it for the walk has been misled by us, and no other element
on the card corrects that. The rest were claims the selection rules keep
true without narrating them.
Also records what happens past the third school: surplus matches are dropped
silently, because NearbyPlaces below already leads to the full lists.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Five tasks, each ending in a green test run and a commit: the pure
selection module, the endpoint key, the section and its two client
islands, the wiring into both templates, and the journey.
The selection logic gets its own module rather than another 200 lines in
app.py, which means the tier rules are testable against a synthetic frame
with no TestClient, no database and no monkeypatch. Moving PHASE_GROUPS
to schemas.py is what keeps that import acyclic.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
