fix(api): school detail 500s for schools with no performance rows #20

Merged
tudor merged 2 commits from fix/school-detail-nan-500 into main 2026-07-07 08:56:23 +00:00
2 Commits
Author SHA1 Message Date
TudorandClaude Opus 4.8 536832a524 chore: drop committed .pyc files, ignore __pycache__ everywhere
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 9m37s
PR Checks / Backend Smoke (pull_request) Successful in 6s
PR Checks / Build Backend (no push) (pull_request) Successful in 29s
PR Checks / Build Frontend (no push) (pull_request) Successful in 42s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 1m54s
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-07 09:37:17 +01:00
TudorandClaude Opus 4.8 87642b7b06 fix(api): serialize schools that have no performance rows
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 9m39s
PR Checks / Backend Smoke (pull_request) Successful in 8s
PR Checks / Build Backend (no push) (pull_request) Successful in 30s
PR Checks / Build Frontend (no push) (pull_request) Successful in 42s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 2m0s
Schools without KS2/KS4 results (special post-16 institutions, sixth-form
centres, PRUs, new schools) come back from the marts LEFT JOIN with NaN in
every numeric column. school_info passed those raw pandas values straight
into JSONResponse, which renders with allow_nan=False, so the detail
endpoint 500d and the frontend turned that into a 404 on every such SEO
landing page.

Run school_info values through convert_to_native (the same treatment
yearly_data already gets), add backend unit tests plus a pytest step in PR
checks, and an e2e journey that finds a results-less school via the search
API and asserts its page renders.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-07 09:22:54 +01:00