2 Commits

Include renames

Author	SHA1	Message	Date
TudorandClaude Opus 5	2175dccb7c	fix(api): treat "16 plus" as secondary, the way PHASE_GROUPS already does ... GIAS phase 6 is "16 plus", and PHASE_GROUPS deliberately files it in the secondary group. The payload helper decided the same question with `"secondary" in phase_text`, which that value does not satisfy — so a sixth-form college was handed the primary bucket and offered infant schools as its peers, with the KS2 metric key to label them. No crash; just a page confidently showing the wrong schools. The decision now lives in similar_schools.is_secondary_phase, beside the PHASE_GROUPS bucket it selects from, so the two cannot drift again. A test pins them together. The same binary assumption had a second output. computeSchoolFlags tests for the substring too, so a 16-plus school renders the primary template, and the composer was labelling the section from the template: "Other primary schools near <sixth form college>" above a row of secondaries. The section now derives its noun from the school's own phase, which also removes the duplicated wording from both composers. A 16-plus school's candidates span the whole secondary group, so no single noun fits and it gets the honest general one. Reported in review on #150. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-09-22 06:41:49 +01:00
TudorandClaude Opus 5	b571d9c549	feat(api): decide which nearby schools a page may offer ... Hard filters encode claims the section may not make — a selective school is not an alternative to a non-selective one, a special school is not comparable to a mainstream one, a Girls school is not an option for a Boys school's reader — so they never relax. Soft preferences describe closeness of fit, so they relax across three tiers, and only far enough to reach three; the remaining slots up to six fill from the tiers already opened. PHASE_GROUPS moves to schemas.py so this module can share it without importing app, which would be a cycle. _mask() exists because Series.apply on an empty Series returns a DataFrame, and using that as a mask drops every column — so the next lookup raises KeyError instead of yielding no rows. A special school with no special school near it empties the frame at the provision filter, which is the ordinary case for most special schools, so this was a crash on a common path rather than an edge case. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-09-21 22:40:10 +01:00