3 Commits

Include renames

Author	SHA1	Message	Date
TudorandClaude Opus 4.8	8a9ba30cc2	fix(detail): compare each SATs bar to its own national benchmark ... The KS2 SATs chart drew a single national-average line spanning the full height of each subject's chart area, positioned at the national *expected* value. But the area stacks two bars — Expected and Exceeding — and the higher-standard/greater-depth national is a very different, much lower figure (e.g. reading higher standard ~29% vs expected ~75%). So the line crossed the Exceeding bar at the wrong place, making every school's exceeding result look far below national when it wasn't. The per-subject higher-standard nationals were already computed in the fact_ks2_national_averages mart; they just weren't serialized. Fix: - backend: add reading_high_pct, writing_gd_pct (writing = greater depth) and maths_high_pct to the national-averages payload. - SchoolDetailView: pass a nationalExceedingPct per subject, mapping writing to the greater-depth figure. - SatsChart: replace the single full-height line with a national marker on each bar's own track (coral tick + "nat X%" in the bar header), so Expected and Exceeding each sit against the correct benchmark. KS2 only; the secondary Attainment 8 chart already uses one line for one measure and is untouched. Verified: tsc --noEmit, next build, and backend pytest (national averages marts, incl. a new test guarding the per-subject nationals). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB	2026-07-21 14:55:43 +01:00
TudorandClaude Fable 5	c9e324635b	fix(data): official DfE KS4 national headline averages; drop mislabelled computed means ... New ees_ks4_national stream ingests the EES 'National characteristics summary data' series (England, state-funded, all pupils). The old mart's unweighted school means were 7-15 points off every headline measure and produced an impossible national Progress 8 (-0.27). The API's computed fallback is gone too: the footnote calls these figures official, so an unbuilt mart now yields an empty series, never a stand-in. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB	2026-07-16 19:07:49 +01:00
TudorandClaude Fable 5	52f8994401	perf(api): persist KS4 national averages as a mart; stop per-request aggregation ... fact_ks4_national_averages is computed once at dbt build time (covered by the EES DAG's stg_ees_ks4+ selector). _national_averages_payload now reads both national-averages marts instead of scanning the performance dataframe per year on every /api/compare request (~250ms saved per call). Fallback for the deploy-before-DAG window computes the latest year only. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB	2026-07-14 13:05:03 +01:00