Compare commits

..
Author SHA1 Message Date
TudorandClaude Fable 5 2fd997bfe6 fix(compare): keep the add-school sheet above the on-screen keyboard
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m6s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 11s
PR Checks / Build Frontend (no push) (pull_request) Successful in 47s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 1m31s
The bottom-sheet overlay was position:fixed inset:0, sized to the LAYOUT
viewport, so when the mobile keyboard opened it kept full height: the
sheet (anchored to the overlay's bottom) and the lower half of the dim
backdrop sat behind the keyboard, hiding the search input and results.

Track window.visualViewport (height + offsetTop) while the modal is open
and pin the overlay to the visible region, so backdrop and sheet stay
above the keyboard. Size the sheet against the overlay (max-height:100%,
min-height:min(55vh,100%)) instead of vh, and drop the results list's own
inner scroll on mobile so the sheet is a single scroll area.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-18 08:00:31 +01:00
tudor bdd9bef349 Merge pull request 'fix(compare): repair mobile add-school modal + re-apply stranded chart-height fix' (#56) from fix/mobile-compare-polish into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 51s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Successful in 41s
Reviewed-on: #56
2026-07-17 22:11:45 +00:00
TudorandClaude Fable 5 e5f7f4c959 fix(compare): repair the mobile add-school modal
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m6s
PR Checks / Backend Smoke (pull_request) Successful in 6s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 48s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 52s
The 'add school' modal passed no title to Modal, so its header held only
the close button — shoved to the far left by justify-content:space-between
in an otherwise-empty bar — while the real title was rendered separately
inside the content. Pass the title to Modal so the header reads title
(left) + close (right), and drop the duplicate in-content heading.

Also: the mobile full-width result button targeted a dead .addButton
selector (the button never had that class), so it rendered inconsistently
— give the button a real module class and full width on mobile, tighten
the stacked cards, and give the bottom sheet a stable min-height so its
empty state isn't a tiny stub.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 23:02:12 +01:00
TudorandClaude Fable 5 60918da483 fix(compare): give the trend chart its own definite canvas height so the gap note can't squash it
The chart note (and the 2-row mobile chip legend) lived inside the fixed
360px/420px chartBox and competed with the canvas for it, so a longer
caption — e.g. the new KS4 gap note — shrank the mobile canvas to ~178px
and tripped the e2e >220px guard. The canvas now owns a definite height
(280px mobile / 380px desktop) with chips above and the note flowing
below at natural size, so neither can eat the plot. Verified on staging:
patched canvas renders 280px vs the squashed 178px.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 22:58:35 +01:00
tudor 284215fbce Merge pull request 'fix(compare): expert should-fixes S1-S4, S6 (S5/S7 closed by verification)' (#55) from fix/expert-signoff-shouldfixes into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 53s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 45s
Reviewed-on: #55
2026-07-17 17:53:16 +00:00
TudorandClaude Fable 5 200a97d0b9 fix(compare): per-school P8 explanation; disadvantaged cohort from the same yearly row
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m3s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 47s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 2m24s
Review findings: (1) the 'no KS2 baseline (COVID)' explanation was derived
from the basket-wide max year, so a school with an unrelated data gap
borrowed it from a neighbour with 2024/25 data — now judged per school on
its own latest year. (2) The '~N disadvantaged pupils' cohort multiplied
eligible_pupils and disadvantaged_pct resolved independently across years
— now both come from the same yearly row that supplies the displayed
percentage.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 17:53:10 +01:00
TudorandClaude Fable 5 f3fa12806b fix(compare): expert should-fixes S1-S4, S6 — banded chips, P8 reason, KS4 gap caption, all-through framing, cohort sizes
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m2s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 49s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 3m8s
S1: first-choice chip banded (More than half / About 1 in 3 / Over 1 in 4
missed out) so a 44%-offered grammar isn't understated by half.
S2: Progress 8 explains its absence for 2024/25+ cohorts (no KS2 baseline,
COVID) instead of a bare 'No data'.
S3: KS4 trend charts get their own honest gap caption (2019/20-2020/21
unpublished; later years not in our dataset yet); y-axis 'Value'→'Score';
buildCompareChart exposes englandOnlyYears.
S4: all-through schools labelled in chips, rail caption says 'N schools ·
<phase> view' for mixed baskets, whole-school roll no longer judged
against the single-phase median, community section carries an all-ages
caveat.
S6 (spec §8.5): disadvantaged attainment shows the cohort behind it
('of ~50 disadvantaged pupils').

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 17:41:12 +01:00
tudor 1004f08daf Merge pull request 'fix(pipeline): annual DAG never builds the official KS4 national mart' (#54) from fix/annual-dag-ks4-national-selector into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 51s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m10s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 45s
Reviewed-on: #54
2026-07-17 13:28:08 +00:00
TudorandClaude Fable 5 79246edc22 fix(pipeline): build stg_ees_ks4_national in the annual EES DAG
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m5s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 11s
PR Checks / Build Frontend (no push) (pull_request) Successful in 49s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 37s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 17s
The DAG's dbt --select list predates the official-KS4-nationals stream,
so the extract loaded raw.ees_ks4_national but the staging model and
fact_ks4_national_averages were never rebuilt — staging kept serving the
old computed means after the DAG run.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 14:15:11 +01:00
tudor 64b63b96c8 Merge pull request 'fix(compare): expert sign-off must-fixes M1-M3' (#53) from fix/expert-signoff-mustfixes into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 19s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 53s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 43s
Reviewed-on: #53
2026-07-17 12:02:55 +00:00
TudorandClaude Fable 5 5944d88f0b fix(compare): expert sign-off must-fixes — phase-matched admissions, Ofsted sentinel codes, selective-school copy
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m4s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 17s
PR Checks / Build Frontend (no push) (pull_request) Successful in 46s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 2m53s
M1: admissions rounds are now selected by the active phase tab
(admissionsForPhase) — an all-through school's Year 7 round no longer
masquerades as Reception odds beside pure primaries; honest per-cell and
section fallbacks name the round (Reception / Year 7).
M2: Ofsted sentinel codes (9 = not applicable) never render as judgement
chips, and the sixth-form judgement — previously dropped — now renders
for schools that have one.
M3: 'What this means' is phase- and type-aware: selective schools get
entrance-test framing, secondary faith schools a faith-criteria note, and
the primaries' distance template never appears on the secondary tab
(admissions_policy now exposed in compare school_info).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 12:40:42 +01:00
tudor 163b501be6 Merge pull request 'fix(compare): stale-basket fetch blanking comparisons; rail caption' (#52) from fix/compare-final-review-mustfix into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 48s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 43s
Reviewed-on: #52
2026-07-17 06:28:27 +00:00
TudorandClaude Fable 5 80176cac4d fix(compare): drop the merge-on-fetch — cancellation alone fixes the race
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m3s
PR Checks / Backend Smoke (pull_request) Successful in 6s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 43s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 9s
Review finding: merging left a re-added school's old entry in the map
forever, so the covered check served stale data and the map grew
unboundedly. The cancelled flag already discards superseded responses,
which is the actual race fix; replacing keeps the map bounded to the
current selection and guarantees fresh refetches.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 07:27:10 +01:00
TudorandClaude Fable 5 84baf95f68 fix(compare): stale basket fetch no longer blanks a freshly opened comparison
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m2s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 11s
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 2m23s
Opening a compare link while localStorage held a different basket raced a
fetch for the OLD school set against the URL's SSR data; the stale
response replaced comparisonData, so no active school had data and every
section (including the trends chart) vanished until a hard refresh.
Responses from superseded effect runs are now dropped, successful ones
merge instead of replace, and the URL-seed effect re-runs when a
client-side navigation changes ?urns=.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-17 07:16:04 +01:00
TudorandClaude Fable 5 99b769ca9e feat(compare): fill the sticky bar's label rail with a comparison caption
'COMPARING / 3 primary schools' — 0.72rem uppercase eyebrow over a
0.95rem semibold count, sized to sit alongside the 0.92rem chip names
without dominating. Desktop only; mobile pills unchanged.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 21:27:25 +01:00
tudor e8f78a1598 Merge pull request 'fix(compare): align sticky school chips with their data columns on desktop' (#51) from fix/compare-final-review-mustfix into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 53s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 40s
Reviewed-on: #51
2026-07-16 20:10:45 +00:00
TudorandClaude Fable 5 8e0b730629 fix(compare): align sticky school chips with their data columns on desktop
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m1s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 50s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 8s
The bar was a plain flex row while sections use a 200px-label + per-school
grid, so chips drifted off the columns they label. The bar now shares the
sections' grid template (via --school-count) at the same 761px breakpoint;
verified pixel-exact against live section columns (236/615/994). Mobile
pills unchanged.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 21:05:16 +01:00
tudor 20a27f3958 Merge pull request 'fix(compare): five must-fix findings from the final expert review' (#50) from fix/compare-final-review-mustfix into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 20s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 50s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m33s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 51s
Reviewed-on: #50
2026-07-16 19:16:54 +00:00
TudorandClaude Fable 5 852ed11e4d chore: untrack dbt build artifacts (target/, logs/, .user.yml) and gitignore them
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m3s
PR Checks / Backend Smoke (pull_request) Successful in 6s
PR Checks / Build Backend (no push) (pull_request) Successful in 17s
PR Checks / Build Frontend (no push) (pull_request) Successful in 46s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 46s
PR Checks / AI Code Review (Claude) (pull_request) Failing after 3m25s
Swept in accidentally by a broad 'git add pipeline'. They embed local
absolute paths and a personal usage-tracking UUID, and a stale committed
manifest causes partial-parse/version-mismatch noise for others.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 20:09:10 +01:00
TudorandClaude Fable 5 77d7052662 docs(spec): re-verify the 2021/22 KS2 gap — expert finding refuted, footnote copy stands
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m5s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 17s
PR Checks / Build Frontend (no push) (pull_request) Successful in 47s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 47s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 4m1s
The final review claimed DfE published school-level 2021/22 KS2 in Dec
2022. Re-verified: the GOV.UK announcement 'Primary school performance
tables: 2022' is CANCELLED ('will not be published in key stage 2
performance tables in academic year 2021/22'), and the EES 2021/22
release carries the same statement. No code change.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 19:12:07 +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 1d855f3c17 fix(compare): census-sourced FSM/EAL benchmarks; never fall back across measure definitions
The FSM chip anchored against disadvantaged_pct (a different measure,
FSM6+CLA) whenever fsm_pct was null — which it always was, since the
performance df has no fsm_pct. New fact_census_benchmarks mart supplies
pupil-weighted FSM/EAL means per phase; the KS2-column medians that
produced a bogus 50% 'secondary disadvantaged' anchor are gone.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 19:05:15 +01:00
TudorandClaude Fable 5 9773483221 fix(compare): date report cards with their own inspection date, never the legacy one
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 14:48:17 +01:00
TudorandClaude Fable 5 e00a1b38a8 feat(pipeline): carry the report-card inspection's own date; pick newest MI file in discovery
The MI file's report-card grade columns belong to the latest FULL
inspection (col 'Inspection start date'), but inspection_date maps to the
legacy OEIF graded/ungraded dates — so report cards were being dated with
pre-Nov-2025 inspections. Also discover_csv_url() returned matches[0],
the oldest (2017) link on the GOV.UK page.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 14:44:51 +01:00
TudorandClaude Fable 5 026a7ab6aa fix(compare): render all-secondary comparisons — re-run phase detection after basket hydration
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 14:42:09 +01:00
TudorandClaude Fable 5 a86a2be96c docs: plan for the five must-fix findings from the final expert review
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-16 14:39:11 +01:00
tudor d98e88f0b4 Merge pull request 'fix: preserve literal 'NULL' strings for primary key columns' (#49) from feature/ingest-independent-schools into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 50s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m25s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 0s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 44s
Reviewed-on: #49
2026-07-16 07:54:41 +00:00
Tudor 609bb923d9 fix: preserve literal 'NULL' strings for primary key columns
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m3s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 48s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 47s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 8s
2026-07-16 08:54:14 +01:00
tudor 4bfcd9ba9a Merge pull request 'fix: convert NaN/NULL to None and restore record properties structure in tap.py' (#48) from feature/ingest-independent-schools into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 50s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m22s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 41s
Reviewed-on: #48
2026-07-16 07:40:28 +00:00
Tudor 95f10bf352 fix: convert NaN/NULL to None and restore record properties structure in tap.py
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m2s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 12s
PR Checks / Build Frontend (no push) (pull_request) Successful in 42s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 47s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 1m46s
2026-07-16 08:29:59 +01:00
tudor 674470ceb6 Merge pull request 'feat: ingest independent schools in Ofsted tap and dbt staging' (#47) from feature/ingest-independent-schools into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 51s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m25s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 44s
Reviewed-on: #47
2026-07-15 22:26:39 +00:00
Tudor 8abff7a0a1 feat: ingest independent schools in Ofsted tap and dbt staging
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m6s
PR Checks / Backend Smoke (pull_request) Successful in 8s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 50s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 47s
PR Checks / AI Code Review (Claude) (pull_request) Failing after 10s
2026-07-15 23:21:40 +01:00
tudor 6f62c25f47 Merge pull request 'Pass phase state to compare sub-components to prevent phase metrics override by multi-phase schools' (#46) from fix/compare-expert-fixes into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 51s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 49s
Reviewed-on: #46
2026-07-15 16:38:49 +00:00
tudor 3fb3db1cc4 Merge pull request 'Fix Ofsted transitional inspections, phase tab exclusions, and FSM benchmark comparison' (#45) from fix/compare-expert-fixes into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 22s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 54s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Failing after 42s
Reviewed-on: #45
2026-07-15 16:30:00 +00:00
tudor e39aef2935 Merge pull request 'fix(compare): sticky school bar hidden behind the site header' (#44) from fix/schoolbar-sticky-offset into main
Stage (build -> staging -> E2E gate) / Build Backend (FastAPI) (push) Successful in 14s
Stage (build -> staging -> E2E gate) / Build Frontend (Next.js) (push) Successful in 51s
Stage (build -> staging -> E2E gate) / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Stage (build -> staging -> E2E gate) / Deploy to Staging (push) Successful in 1s
Stage (build -> staging -> E2E gate) / E2E Journeys against Staging (push) Successful in 39s
Reviewed-on: #44
2026-07-15 12:02:29 +00:00
46 changed files with 2289 additions and 182 deletions
+5
View File
@@ -1,2 +1,7 @@
venv venv
__pycache__/ __pycache__/
# dbt local build artifacts (embed absolute paths + anonymous-usage UUID)
pipeline/transform/target/
pipeline/transform/logs/
pipeline/transform/.user.yml
+35 -23
View File
@@ -677,6 +677,7 @@ async def compare_schools(
"deprivation": None, "deprivation": None,
} }
supplementary_by_urn: dict = {} supplementary_by_urn: dict = {}
census_benchmarks = None
db = None db = None
try: try:
db = database.SessionLocal() db = database.SessionLocal()
@@ -688,6 +689,31 @@ async def compare_schools(
key: supp.get(key, default) key: supp.get(key, default)
for key, default in _EMPTY_SUPPLEMENTARY.items() for key, default in _EMPTY_SUPPLEMENTARY.items()
} }
# Import-time census context benchmarks (fact_census_benchmarks);
# absent mart → None, and compute_benchmarks leaves those fields null.
try:
from .models import CensusBenchmark
rows = db.query(CensusBenchmark).all()
by_phase = {
r.phase: {
"year": r.year,
"fsm_pct": r.fsm_pct,
"eal_pct": r.eal_pct,
"median_pupils": r.median_pupils,
}
for r in rows
if getattr(r, "phase", None) in ("primary", "secondary")
}
if by_phase:
census_benchmarks = by_phase
except Exception:
# Missing mart (or a stubbed session in tests) must never break
# the compare payload — and not every session has rollback().
try:
db.rollback()
except Exception:
pass
except Exception: except Exception:
supplementary_by_urn = {} supplementary_by_urn = {}
finally: finally:
@@ -714,6 +740,9 @@ async def compare_schools(
"religious_denomination": convert_to_native(latest.get("religious_denomination")), "religious_denomination": convert_to_native(latest.get("religious_denomination")),
"age_range": convert_to_native(latest.get("age_range")), "age_range": convert_to_native(latest.get("age_range")),
"gender": convert_to_native(latest.get("gender")), "gender": convert_to_native(latest.get("gender")),
# Needed by the admissions "What this means" copy: selective
# schools get entrance-test framing, never the distance template.
"admissions_policy": convert_to_native(latest.get("admissions_policy")),
"has_sixth_form": convert_to_native(latest.get("has_sixth_form")), "has_sixth_form": convert_to_native(latest.get("has_sixth_form")),
"capacity": convert_to_native(latest.get("capacity")), "capacity": convert_to_native(latest.get("capacity")),
"gias_total_pupils": convert_to_native(latest.get("gias_total_pupils")), "gias_total_pupils": convert_to_native(latest.get("gias_total_pupils")),
@@ -728,7 +757,7 @@ async def compare_schools(
# Official DfE anchors + computed state-school benchmarks so the # Official DfE anchors + computed state-school benchmarks so the
# compare UI can label provenance correctly (spec §8.6). # compare UI can label provenance correctly (spec §8.6).
"national_averages": _national_averages_payload(df), "national_averages": _national_averages_payload(df),
"benchmarks": compute_benchmarks(df), "benchmarks": compute_benchmarks(df, census_benchmarks=census_benchmarks),
} }
@@ -797,11 +826,11 @@ def _national_averages_payload(df: pd.DataFrame) -> dict:
/api/compare. /api/compare.
Both series are persisted marts computed at import time: official DfE Both series are persisted marts computed at import time: official DfE
KS2 figures (fact_ks2_national_averages) and dataset-computed KS4 KS2 figures (fact_ks2_national_averages) and official DfE KS4 figures
averages (fact_ks4_national_averages) — the API never aggregates the (fact_ks4_national_averages) — the API never aggregates the performance
performance dataframe per request. If the KS4 mart hasn't been built dataframe per request. If the KS4 mart hasn't been built yet, the
yet (deploy lands before the next DAG run), fall back to computing the secondary series is empty — never a computed stand-in, because the UI
latest year only — a single-year scan, never the historical loop. labels these figures as official DfE data.
""" """
if df.empty: if df.empty:
return {"primary": {}, "secondary": {}} return {"primary": {}, "secondary": {}}
@@ -841,23 +870,6 @@ def _national_averages_payload(df: pd.DataFrame) -> dict:
primary_by_year = {r.year: _row_metrics(r, _KS2_NATIONAL_METRICS) for r in ks2_rows} primary_by_year = {r.year: _row_metrics(r, _KS2_NATIONAL_METRICS) for r in ks2_rows}
secondary_by_year = {r.year: _row_metrics(r, _KS4_NATIONAL_METRICS) for r in ks4_rows} secondary_by_year = {r.year: _row_metrics(r, _KS4_NATIONAL_METRICS) for r in ks4_rows}
if not any(secondary_by_year.values()):
# KS4 mart missing/empty: compute the latest year only.
df_latest = df[df["year"] == latest_year]
sec = (
df_latest[df_latest["attainment_8_score"].notna()]
if "attainment_8_score" in df_latest.columns
else df_latest.iloc[0:0]
)
vals = {}
for col in _KS4_NATIONAL_METRICS:
if col in sec.columns:
v = sec[col].dropna()
if len(v) > 0:
vals[col] = round(float(v.mean()), 2)
if vals:
secondary_by_year[latest_year] = vals
all_years = sorted(set(primary_by_year) | set(secondary_by_year)) all_years = sorted(set(primary_by_year) | set(secondary_by_year))
by_year = [ by_year = [
{ {
+22 -14
View File
@@ -525,13 +525,20 @@ def get_data_info(db: Session = None) -> dict:
# SUPPLEMENTARY DATA — per-school detail page # SUPPLEMENTARY DATA — per-school detail page
# ============================================================================= # =============================================================================
def compute_benchmarks(df: pd.DataFrame) -> dict: def compute_benchmarks(df: pd.DataFrame, census_benchmarks: dict | None = None) -> dict:
"""State-school benchmarks computed from our dataset (spec §5/§8.6). """State-school benchmarks computed from our dataset (spec §5/§8.6).
NOT official DfE figures — consumers must label them NOT official DfE figures — consumers must label them
"state-school average (computed from our dataset)". The disadvantaged "state-school average (computed from our dataset)". The disadvantaged
attainment average is weighted by cohort size (eligible_pupils) so attainment average is weighted by cohort size (eligible_pupils) so
small schools don't dominate; context measures are medians. small schools don't dominate.
Context measures (FSM/EAL/pupil counts) come from `census_benchmarks`
(the fact_census_benchmarks mart, pupil-weighted, keyed by phase): the
performance df has no fsm_pct at all, and its eal/disadvantaged columns
are KS2-only — medianing them for "secondary" produced junk anchors
from the handful of all-through schools. When the mart is unavailable
these are None; never fall back across measure definitions.
""" """
if df.empty or "year" not in df.columns: if df.empty or "year" not in df.columns:
return {} return {}
@@ -567,18 +574,14 @@ def compute_benchmarks(df: pd.DataFrame) -> dict:
) )
return round(float(w), 1) return round(float(w), 1)
def _block(sub, with_disadvantaged): def _block(sub, phase, with_disadvantaged):
median_pupils = None census = (census_benchmarks or {}).get(phase) or {}
if "total_pupils" in sub.columns:
mp = sub["total_pupils"].median()
if pd.notna(mp):
median_pupils = int(mp)
block = { block = {
"eal_pct": _median(sub, "eal_pct"), "eal_pct": census.get("eal_pct"),
"sen_support_pct": _median(sub, "sen_support_pct"), "sen_support_pct": _median(sub, "sen_support_pct"),
"disadvantaged_pct": _median(sub, "disadvantaged_pct"), "disadvantaged_pct": _median(sub, "disadvantaged_pct") if with_disadvantaged else None,
"fsm_pct": _median(sub, "fsm_pct"), "fsm_pct": census.get("fsm_pct"),
"median_pupils": median_pupils, "median_pupils": census.get("median_pupils"),
} }
if with_disadvantaged: if with_disadvantaged:
block["disadvantaged_rwm_expected_pct"] = _weighted_disadvantaged(sub) block["disadvantaged_rwm_expected_pct"] = _weighted_disadvantaged(sub)
@@ -587,8 +590,8 @@ def compute_benchmarks(df: pd.DataFrame) -> dict:
return { return {
"source": "state-school average (computed from our dataset)", "source": "state-school average (computed from our dataset)",
"year": int(latest_year), "year": int(latest_year),
"primary": _block(prim, with_disadvantaged=True), "primary": _block(prim, "primary", with_disadvantaged=True),
"secondary": _block(sec, with_disadvantaged=False), "secondary": _block(sec, "secondary", with_disadvantaged=False),
} }
@@ -617,6 +620,11 @@ def _ofsted_block(o, urn: int) -> dict:
block = { block = {
"framework": o.framework, "framework": o.framework,
"inspection_date": o.inspection_date.isoformat() if o.inspection_date else None, "inspection_date": o.inspection_date.isoformat() if o.inspection_date else None,
"rc_inspection_date": (
o.rc_inspection_date.isoformat()
if getattr(o, "rc_inspection_date", None)
else None
),
"inspection_type": o.inspection_type, "inspection_type": o.inspection_type,
"overall_effectiveness": overall, "overall_effectiveness": overall,
"grade_source": grade_source, "grade_source": grade_source,
+23 -1
View File
@@ -156,6 +156,9 @@ class FactOfstedInspection(Base):
rc_leadership_governance = Column(Integer) rc_leadership_governance = Column(Integer)
rc_early_years = Column(Integer) rc_early_years = Column(Integer)
rc_sixth_form = Column(Integer) rc_sixth_form = Column(Integer)
# Start date of the report-card inspection itself (renewed framework,
# Nov 2025+). Null for rows without report-card grades.
rc_inspection_date = Column(Date)
report_url = Column(Text) report_url = Column(Text)
@@ -231,8 +234,27 @@ class FactFinance(Base):
premises_cost_pct = Column(Float) premises_cost_pct = Column(Float)
class CensusBenchmark(Base):
"""State-school context benchmarks from the pupil census — one row per phase.
fsm_pct / eal_pct are pupil-weighted means. Computed at import time;
consumers label them "state-school average (computed from our dataset)".
"""
__tablename__ = "fact_census_benchmarks"
__table_args__ = MARTS
phase = Column(String(20), primary_key=True)
year = Column(Integer)
fsm_pct = Column(Float)
eal_pct = Column(Float)
median_pupils = Column(Integer)
class Ks4NationalAverage(Base): class Ks4NationalAverage(Base):
"""Computed national KS4 averages (from our dataset) — one row per year.""" """Official DfE KS4 national headline averages — one row per academic year.
gcse_grade_91_pct has no official national series and is always NULL.
"""
__tablename__ = "fact_ks4_national_averages" __tablename__ = "fact_ks4_national_averages"
__table_args__ = MARTS __table_args__ = MARTS
+29 -8
View File
@@ -57,19 +57,40 @@ def test_weighted_disadvantaged_average():
def test_medians_ignore_nan_and_older_years(): def test_medians_ignore_nan_and_older_years():
b = compute_benchmarks(_df()) b = compute_benchmarks(_df())
assert b["year"] == LATEST assert b["year"] == LATEST
# eal medians over [10,20,30,40,50] = 30 # sen medians over [10,14,18,20,22] = 18 — the only context measure still
assert b["primary"]["eal_pct"] == 30.0 # sourced from the performance df (the rest come from the census mart).
# fsm medians over [15,17,19,21,23] = 19 assert b["primary"]["sen_support_pct"] == 18.0
assert b["primary"]["fsm_pct"] == 19.0 # disadvantaged_pct medians over [20,24,30,40,44] = 30
# median pupils over [200,280,300,350,400] = 300 assert b["primary"]["disadvantaged_pct"] == 30.0
assert b["primary"]["median_pupils"] == 300
def test_benchmarks_use_census_mart_for_context():
census = {
"primary": {"year": LATEST, "fsm_pct": 25.3, "eal_pct": 21.8, "median_pupils": 240},
"secondary": {"year": LATEST, "fsm_pct": 24.1, "eal_pct": 18.9, "median_pupils": 980},
}
b = compute_benchmarks(_df(), census_benchmarks=census)
assert b["primary"]["fsm_pct"] == 25.3
assert b["primary"]["eal_pct"] == 21.8
assert b["secondary"]["eal_pct"] == 18.9
assert b["secondary"]["median_pupils"] == 980
def test_benchmarks_context_none_when_mart_missing():
# The performance df has no fsm_pct and its eal/disadvantaged columns are
# KS2-only — never silently fall back to medianing them for context.
b = compute_benchmarks(_df(), census_benchmarks=None)
assert b["primary"]["fsm_pct"] is None
assert b["primary"]["eal_pct"] is None
assert b["primary"]["median_pupils"] is None
def test_secondary_block_has_no_disadvantaged_rwm(): def test_secondary_block_has_no_disadvantaged_rwm():
b = compute_benchmarks(_df()) b = compute_benchmarks(_df())
assert "disadvantaged_rwm_expected_pct" not in b["secondary"] assert "disadvantaged_rwm_expected_pct" not in b["secondary"]
assert b["secondary"]["fsm_pct"] == 13.0 # KS2-only columns must not produce a fake secondary disadvantaged anchor
assert b["secondary"]["median_pupils"] == 1100 # (the old median over all-through schools' KS2 rows produced 50%).
assert b["secondary"]["disadvantaged_pct"] is None
def test_provenance_string(): def test_provenance_string():
+10 -9
View File
@@ -1,7 +1,7 @@
"""_national_averages_payload reads persisted marts (computed at import """_national_averages_payload reads persisted marts (computed at import
time) — it must never loop the dataframe per year. The only dataframe work time) — it must never aggregate the dataframe. Both marts hold OFFICIAL
allowed is the single-latest-year KS4 fallback for the window between a DfE figures, so a missing KS4 mart yields an empty secondary series —
deploy and the next DAG run.""" never a computed stand-in the UI would mislabel as official."""
import numpy as np import numpy as np
import pandas as pd import pandas as pd
@@ -84,10 +84,11 @@ def test_ks4_averages_come_from_the_mart_not_the_dataframe(payload):
assert body["by_year"][-1]["secondary"]["progress_8_score"] == -0.02 assert body["by_year"][-1]["secondary"]["progress_8_score"] == -0.02
def test_missing_ks4_mart_falls_back_to_latest_year_only(payload): def test_ks4_secondary_empty_when_mart_missing(payload):
# No computed stand-in: the UI labels national figures as official DfE
# data, so an empty mart must yield an empty secondary series.
body = payload(_Ks4MissingSession) body = payload(_Ks4MissingSession)
# Fallback computes the latest year from the df: mean(50, 30) = 40.0 assert body["secondary"] == {}
assert body["secondary"]["attainment_8_score"] == 40.0 assert all(not e["secondary"] for e in body["by_year"])
# ...and only the latest year — no historical KS4 loop # The KS2 series is unaffected.
ks4_years = [e["year"] for e in body["by_year"] if e["secondary"]] assert body["primary"]["rwm_expected_pct"] == 62.1
assert ks4_years == [LATEST]
@@ -3,6 +3,7 @@ labels, provider-page URL, graded-vs-carried-forward provenance, and the
admissions preference/cross-LA detail promoted in the data-foundation PR.""" admissions preference/cross-LA detail promoted in the data-foundation PR."""
import types import types
from datetime import date
from backend.data_loader import _admissions_row_dict, _ofsted_block from backend.data_loader import _admissions_row_dict, _ofsted_block
@@ -40,6 +41,25 @@ def test_grade_source_graded_vs_carried_forward():
assert _ofsted_block(_row(), urn=1)["grade_source"] is None assert _ofsted_block(_row(), urn=1)["grade_source"] is None
def test_ofsted_block_carries_rc_inspection_date():
o = _row(
ungraded_grade=2,
rc_achievement=1,
rc_inspection_date=date(2026, 2, 3),
inspection_date=date(2021, 10, 7),
)
block = _ofsted_block(o, urn=138690)
assert block["rc_inspection_date"] == "2026-02-03"
# The legacy inspection date is still present, unchanged.
assert block["inspection_date"] == "2021-10-07"
def test_ofsted_block_rc_inspection_date_none_when_absent():
o = _row(overall_effectiveness=1, inspection_date=date(2021, 10, 13))
block = _ofsted_block(o, urn=136276)
assert block["rc_inspection_date"] is None
def test_ofsted_block_keeps_existing_keys(): def test_ofsted_block_keeps_existing_keys():
block = _ofsted_block(_row(overall_effectiveness=2, quality_of_education=2), urn=1) block = _ofsted_block(_row(overall_effectiveness=2, quality_of_education=2), urn=1)
for key in ("framework", "inspection_date", "overall_effectiveness", for key in ("framework", "inspection_date", "overall_effectiveness",
@@ -0,0 +1,931 @@
# Compare Screen Must-Fix (Final Expert Review) Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Fix the five promotion-blocking findings from the expert's final staging review: (1) blank all-secondary compare view, (2) report cards dated with pre-Nov-2025 legacy inspection dates, (3) FSM chip benchmarked against the wrong measure, (4) KS4 "national averages" that are dataset means presented as official DfE figures, (5) factually wrong "DfE didn't publish 2021/22" footnote.
**Architecture:** One branch/PR touching all three layers. Pipeline: a new tap field carries the report-card inspection's own date; a new EES stream ingests official KS4 national headlines; a new census-benchmarks mart replaces junk KS2-derived context medians. Backend: serialize the new fields, stop mislabelling computed KS4 means as official. Frontend: fix the phase-detection effect that leaves all-secondary comparisons stuck on an empty "primary" tab, date report cards correctly, drop the FSM→disadvantaged fallback, fix the footnote copy.
**Tech Stack:** Meltano/Singer taps (Python), dbt-postgres, FastAPI/SQLAlchemy/pandas, Next.js app router + Jest, Playwright e2e.
## Global Constraints
- Never push to `main`; work on branch `fix/compare-final-review-mustfix`, open a PR. Never trigger the "Promote to Production (manual)" workflow — promotion is exclusively the human's call.
- User-facing behaviour changes must extend the `e2e/` journeys in the same PR (they gate staging fitness and promotability).
- All user-facing copy on the compare screen comes verbatim from `docs/superpowers/specs/mockups/compare-desktop.html` / `compare-mobile.html` — except where this plan explicitly changes copy to fix a factual error (Task 6); the spec/mockup gets the same wording in the same commit.
- Benchmark provenance house style: official figures = "England average"; computed figures = "state-school average (computed from our dataset)".
- A report card must NEVER be displayed with a pre-November-2025 date. Report cards exist only from November 2025.
- Backend tests: `uv run --with-requirements requirements.txt --with pytest --with "httpx==0.27.0" python -m pytest backend/tests -q` (repo root; there is no local pytest).
- dbt: `cd pipeline/transform && uv run --with dbt-postgres python -m dbt.cli.main parse --profiles-dir .` (never bare `dbt` — the Fusion binary shadows dbt-postgres).
- Frontend: `cd nextjs-app && npx tsc --noEmit && npm test` (run tsc un-piped so exit codes are not masked).
- Do NOT start a local server to test the application (CLAUDE.md).
- Commits end with the Claude Code `Co-Authored-By` + `Claude-Session` trailers used on this branch's history.
## Root-Cause Evidence (verified 2026-07-16, do not re-derive)
- **Finding 1:** `nextjs-app/components/ComparisonView.tsx:164-176` — the auto-phase effect returns early when `selectedSchools.length === 0` (basket hydrates a beat after mount) and its dep array is only `[comparisonData]`, so it never re-fires; `comparePhase` stays `'primary'`, `activeSchools` is empty, the page renders "No primary schools in your comparison" (a11y snapshot confirmed). No console errors — not a crash.
- **Finding 2:** In the Ofsted MI CSV (`Management_information_-_state-funded_schools_-_latest_inspections_as_at_31_May_2026.csv`) the report-card grade columns (cols 3855, "Safeguarding standards", "Inclusion", …) belong to the **latest full inspection** block whose date is col 30 "Inspection start date" (Barclay 138690: `03/02/2026`). The tap's `inspection_date` COLUMN_PRIORITY matches col 60 "Inspection start date of latest OEIF graded inspection" first (the *legacy* date; NULL for Barclay, so stg coalesces to the 2021 *ungraded* date). The rc data is **real Ofsted data, not fabricated** — it is mis-dated. Also `discover_csv_url()` returns `matches[0]` = the oldest (2017) link on the GOV.UK page; staging works only because `mi_url` is set in the environment. Staging raw is stale for at least Watford Grammar 136276 (staging shows rc grades; the current MI file has all rc columns NULL for it) — a fresh extract fixes that via upsert on `(urn, inspection_date)`.
- **Finding 3:** `nextjs-app/components/compare/CompareCommunity.tsx:36``bench?.fsm_pct ?? bench?.disadvantaged_pct` falls back across definitions. `benchmarks.primary.fsm_pct` is null because `compute_benchmarks` (backend/data_loader.py:528) medians the *performance* df, which has no `fsm_pct` (school FSM comes from `census.fsm_pct` = `fact_pupil_characteristics`). `disadvantaged_pct` / `eal_pct` are KS2-only columns, so the "secondary" medians (50.0 / 10.0) are computed over the few all-through schools' KS2 rows — junk.
- **Finding 4:** `fact_ks4_national_averages.sql` computes unweighted school means (A8 38.94 vs official 46.0; national P8 0.27, impossible). Official series exists on EES: data-set `1b649e16-01e8-435b-a814-56be2faf9054` ("National characteristics summary data", KS4 performance publication), CSV endpoint same pattern as the KS2 national stream, national level, 2018/19→2024/25, `establishment_type_group = 'All state-funded'`, `breakdown_topic = 'Total'`, `breakdown = 'Total'`. Verified values: 2024/25 A8 46.0, P8 `z` (not published — no KS2 baseline for that cohort), EM 9-5 45.4%, EBacc entry 40.5%. It has **no** `gcse_91_percent` column.
- **Finding 5:** `ComparisonChart.tsx:245-246` claims "DfE didn't publish school-level figures for 2021/22". False — DfE published school-level KS2 for 2021/22 in Dec 2022; spec §8.1 itself lists loading it as a pipeline task. The honest claim is that the figures aren't in our dataset.
---
### Task 1: All-secondary comparison renders (phase-detection fix)
**Files:**
- Modify: `nextjs-app/components/ComparisonView.tsx:176`
- Create: `nextjs-app/__tests__/components/ComparisonView.phase.test.tsx`
- Modify: `e2e/tests/journeys.spec.ts` (add helper + journey after the existing `twoPrimaryUrns` helper / primary compare journey)
**Interfaces:**
- Consumes: existing `ComparisonView` props (`initialData`, `initialUrns`, `metrics`, `selectedMetric`), `ComparisonProvider`.
- Produces: no API changes; the auto-phase effect re-runs when the basket hydrates.
- [ ] **Step 1: Write the failing Jest test**
Create `nextjs-app/__tests__/components/ComparisonView.phase.test.tsx` (mirrors the mock setup of `ComparisonView.refresh.test.tsx`):
```tsx
/**
* Regression: an all-secondary comparison must render the secondary sections.
*
* The basket hydrates from the URL a beat after mount, so the auto-phase
* effect must re-run once selectedSchools arrives — with deps of only
* [comparisonData] it fired once against an empty basket, bailed, and the
* page stayed on an empty "primary" tab ("No primary schools in your
* comparison") even though all schools were secondary.
*/
import { render, screen, waitFor } from '@testing-library/react';
import { ComparisonView } from '@/components/ComparisonView';
import { ComparisonProvider } from '@/context/ComparisonProvider';
import type { ComparisonData, School } from '@/lib/types';
const fetchComparison = jest.fn();
jest.mock('@/lib/api', () => ({
fetchComparison: (...args: unknown[]) => fetchComparison(...args),
}));
jest.mock('@/lib/analytics', () => ({ track: jest.fn() }));
function secondarySchool(urn: number, name: string): School {
return {
urn,
school_name: name,
local_authority: 'Testshire',
school_type: 'Academy converter',
attainment_8_score: 55,
phase: 'Secondary',
} as School;
}
function data(urn: number, name: string): ComparisonData {
return {
school_info: secondarySchool(urn, name),
yearly_data: [{ year: 202425, attainment_8_score: 55 }] as ComparisonData['yearly_data'],
ofsted: null,
census: null,
admissions: null,
admissions_history: [],
deprivation: null,
};
}
const INITIAL_DATA = {
'300': data(300, 'Gamma High'),
'400': data(400, 'Delta Academy'),
};
test('an all-secondary comparison renders the sections, not an empty primary tab', async () => {
render(
<ComparisonProvider>
<ComparisonView
initialData={INITIAL_DATA}
initialNationalAverages={{
year: 202425,
primary: {},
secondary: { attainment_8_score: 46 },
by_year: [],
}}
initialBenchmarks={undefined}
initialUrns={[300, 400]}
metrics={[]}
selectedMetric="attainment_8_score"
/>
</ComparisonProvider>,
);
await waitFor(() => {
expect(screen.getByRole('heading', { name: 'At a glance' })).toBeInTheDocument();
});
expect(screen.getAllByText('Gamma High').length).toBeGreaterThan(0);
expect(screen.queryByText(/No primary schools in your comparison/)).toBeNull();
expect(fetchComparison).not.toHaveBeenCalled();
});
```
- [ ] **Step 2: Run it to verify it fails**
Run: `cd nextjs-app && npx jest __tests__/components/ComparisonView.phase.test.tsx`
Expected: FAIL — "No primary schools in your comparison" is rendered / "At a glance" never appears.
- [ ] **Step 3: Fix the effect dependencies**
In `nextjs-app/components/ComparisonView.tsx`, the auto-phase effect currently ends:
```tsx
}, [comparisonData]); // eslint-disable-line react-hooks/exhaustive-deps
```
Change to:
```tsx
// selectedSchools is a dep because the basket hydrates after mount: the
// first run sees an empty basket and bails, so it must re-fire when the
// schools arrive. primarySchools/secondarySchools/metrics/selectedMetric
// are intentionally omitted (derived or would cause loops).
}, [comparisonData, selectedSchools]); // eslint-disable-line react-hooks/exhaustive-deps
```
(`phaseLockedByUser` still suppresses re-detection after a manual tab click; re-running with unchanged inputs sets the same state, which React treats as a no-op.)
- [ ] **Step 4: Run the new test and the existing suite**
Run: `cd nextjs-app && npx tsc --noEmit && npm test`
Expected: PASS, including `ComparisonView.refresh.test.tsx` (the refresh regression must stay green).
- [ ] **Step 5: Add the e2e secondary journey**
In `e2e/tests/journeys.spec.ts`, add below `twoPrimaryUrns`:
```ts
async function twoSecondaryUrns(page: Page): Promise<[string, string]> {
const res = await page.request.get('/api/schools?search=school&per_page=100');
expect(res.ok()).toBeTruthy();
const body = await res.json();
const urns: string[] = (body.schools ?? [])
.filter((s: { phase?: string; attainment_8_score?: number | null }) =>
s.phase === 'Secondary' && s.attainment_8_score != null,
)
.map((s: { urn: number }) => String(s.urn));
expect(urns.length).toBeGreaterThanOrEqual(2);
return [urns[0], urns[1]];
}
```
(If `/api/schools` list rows lack `attainment_8_score`, filter on `s.phase === 'Secondary'` only — check the response first.) Then add a journey test next to the primary compare journey:
```ts
test('comparing two secondary schools renders the secondary sections', async ({ page }) => {
const [urn0, urn1] = await twoSecondaryUrns(page);
await page.goto(`/compare?urns=${urn0},${urn1}`);
await expect(page.locator(`a[href*="${urn0}"]`).first()).toBeVisible({ timeout: 15_000 });
// The parent-first sections must render — this page was completely blank
// for all-secondary baskets (expert review must-fix #1).
await expect(page.getByRole('heading', { name: 'At a glance' })).toBeVisible();
await expect(page.getByRole('heading', { name: 'Ofsted inspection' })).toBeVisible();
// A KS4 measure proves the secondary academics variant rendered.
await expect(page.getByText(/Attainment 8/i).first()).toBeVisible();
await expect(page.getByText(/No primary schools in your comparison/)).toHaveCount(0);
});
```
- [ ] **Step 6: Commit**
```bash
git add nextjs-app/components/ComparisonView.tsx nextjs-app/__tests__/components/ComparisonView.phase.test.tsx e2e/tests/journeys.spec.ts
git commit -m "fix(compare): render all-secondary comparisons — re-run phase detection after basket hydration"
```
---
### Task 2: Report-card inspection date through the pipeline
**Files:**
- Modify: `pipeline/plugins/extractors/tap-uk-ofsted/tap_uk_ofsted/tap.py` (COLUMN_PRIORITY, schema, `discover_csv_url`)
- Modify: `pipeline/transform/models/staging/stg_ofsted_inspections.sql`
- Modify: `pipeline/transform/models/intermediate/int_ofsted_latest.sql`
- Modify: `pipeline/transform/models/marts/fact_ofsted_inspection.sql`
- Modify: `pipeline/transform/models/marts/_marts_schema.yml` (add column doc if other fact_ofsted columns are documented there)
**Interfaces:**
- Consumes: MI CSV column `Inspection start date` (the latest **full** inspection = the report-card inspection in the renewed framework; NULL when a school's only inspections are legacy OEIF/ungraded — verified for Watford Grammar).
- Produces: `marts.fact_ofsted_inspection.rc_inspection_date` (DATE, null unless the row carries report-card grades). Task 3 depends on this exact column name.
- [ ] **Step 1: Add the tap field**
In `tap.py` COLUMN_PRIORITY, after the `rc_sixth_form` entry, add:
```python
# Date of the latest FULL inspection — in the renewed framework this is
# the report-card inspection's own start date (col "Inspection start
# date"), distinct from the legacy OEIF graded/ungraded dates above.
"rc_inspection_date": ["Inspection start date"],
```
and in the stream schema, next to the other rc properties:
```python
th.Property("rc_inspection_date", th.StringType),
```
Note: `inspection_date`'s own priority list also contains `"Inspection start date"` as a lower-priority candidate — that stays; in renewed-framework files the higher-priority OEIF column exists so they map to different columns, and in legacy files both map to the same column but rc grades are absent, and staging nulls `rc_inspection_date` in that case (Step 3).
- [ ] **Step 2: Fix `discover_csv_url` to pick the newest file, not `matches[0]`**
The GOV.UK page lists 2017 files first; `matches[0]` is a 2017 CSV. Replace the body of `discover_csv_url()` to date-sort the `latest_inspections_as_at` links, mirroring `discover_independent_csv_url`:
```python
def discover_csv_url() -> str | None:
"""Scrape GOV.UK page to find the latest MI CSV download link.
The page lists a decade of monthly files, oldest first — take the
newest 'latest inspections as at <date>' link by parsing its date,
never matches[0].
"""
resp = requests.get(GOV_UK_PAGE, timeout=30)
resp.raise_for_status()
csv_links = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.csv)"',
resp.text,
)
months = {
'january': 1, 'february': 2, 'march': 3, 'april': 4, 'may': 5, 'june': 6,
'july': 7, 'august': 8, 'september': 9, 'october': 10, 'november': 11, 'december': 12,
'jan': 1, 'feb': 2, 'mar': 3, 'apr': 4, 'jun': 6,
'jul': 7, 'aug': 8, 'sep': 9, 'oct': 10, 'nov': 11, 'dec': 12,
}
parsed_links = []
for link in csv_links:
normalized = link.lower().replace('-', '_')
if 'latest_inspections_as_at' not in normalized:
continue
match = re.search(r'as_at_(\d{1,2})_([a-z]+)_(\d{4})', normalized)
if match:
day, month_str, year = match.groups()
month = months.get(month_str)
if month:
try:
parsed_links.append((datetime(int(year), month, int(day)), link))
except ValueError:
continue
parsed_links.sort(reverse=True)
if parsed_links:
return parsed_links[0][1]
if csv_links:
return csv_links[-1]
matches = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.ods)"',
resp.text,
)
return matches[0] if matches else None
```
(`mi_url` config still wins when set — `self.config.get("mi_url") or discover_csv_url()` is unchanged.)
- [ ] **Step 3: Parse and guard the date in staging**
In `stg_ofsted_inspections.sql`, inside the `renamed` CTE after the `rc_sixth_form` line, add:
```sql
-- Start date of the latest FULL inspection (the report-card
-- inspection in the renewed framework). Guarded below: only kept
-- when the row actually carries report-card grades, because in
-- legacy-format files this column is the legacy inspection date.
to_date(nullif(trim(rc_inspection_date), 'NULL'), 'DD/MM/YYYY') as rc_inspection_date_raw,
```
and replace the final select:
```sql
select
*,
case
when rc_safeguarding_met is not null
or rc_inclusion is not null
or rc_curriculum_teaching is not null
or rc_achievement is not null
or rc_attendance_behaviour is not null
or rc_personal_development is not null
or rc_leadership_governance is not null
then rc_inspection_date_raw
end as rc_inspection_date
from renamed
where inspection_date is not null
```
- [ ] **Step 4: Propagate through int + mart**
Add `rc_inspection_date,` to the explicit column lists of `int_ofsted_latest.sql` and `fact_ofsted_inspection.sql` (after `rc_sixth_form`). Do NOT propagate `rc_inspection_date_raw`.
- [ ] **Step 5: Parse-check dbt**
Run: `cd pipeline/transform && uv run --with dbt-postgres python -m dbt.cli.main parse --profiles-dir .`
Expected: parse OK, no compilation errors.
- [ ] **Step 6: Commit**
```bash
git add pipeline/plugins/extractors/tap-uk-ofsted pipeline/transform/models
git commit -m "feat(pipeline): carry the report-card inspection's own date; pick newest MI file in discovery"
```
---
### Task 3: Report-card date in the API and UI
**Files:**
- Modify: `backend/models.py` (FactOfstedInspection)
- Modify: `backend/data_loader.py` (`_ofsted_block`)
- Test: `backend/tests/test_supplementary_enrichment.py` (extend the existing `_ofsted_block` tests)
- Modify: `nextjs-app/lib/types.ts` (OfstedInspection)
- Modify: `nextjs-app/components/compare/CompareOfsted.tsx` ("Inspected" measure)
- Test: `nextjs-app/__tests__/components/CompareOfsted.test.tsx`
**Interfaces:**
- Consumes: `marts.fact_ofsted_inspection.rc_inspection_date` (Task 2).
- Produces: API `ofsted.rc_inspection_date: string | null` (ISO date). UI rule: report-card displays are dated with `rc_inspection_date` only; when null, show "—" (never the legacy date).
- [ ] **Step 1: Failing backend test**
In `backend/tests/test_supplementary_enrichment.py`, alongside the existing `_ofsted_block` tests, add (reuse the file's existing fake-row helper/style):
```python
def test_ofsted_block_carries_rc_inspection_date():
o = _fake_ofsted_row( # use this file's existing fake/stub construction
overall_effectiveness=None,
ungraded_grade=2,
rc_achievement=1,
rc_inspection_date=date(2026, 2, 3),
inspection_date=date(2021, 10, 7),
)
block = _ofsted_block(o, 138690)
assert block["rc_inspection_date"] == "2026-02-03"
# The legacy inspection date is still present, unchanged.
assert block["inspection_date"] == "2021-10-07"
def test_ofsted_block_rc_inspection_date_none_when_absent():
o = _fake_ofsted_row(overall_effectiveness=1, inspection_date=date(2021, 10, 13))
block = _ofsted_block(o, 136276)
assert block["rc_inspection_date"] is None
```
Run: `uv run --with-requirements requirements.txt --with pytest --with "httpx==0.27.0" python -m pytest backend/tests/test_supplementary_enrichment.py -q`
Expected: FAIL (KeyError / AttributeError on `rc_inspection_date`).
- [ ] **Step 2: Backend implementation**
`backend/models.py`, in `FactOfstedInspection` after `rc_sixth_form`:
```python
# Start date of the report-card inspection itself (renewed framework,
# Nov 2025+). Null for rows without report-card grades.
rc_inspection_date = Column(Date)
```
`backend/data_loader.py` `_ofsted_block`, after the `"inspection_date"` entry:
```python
"rc_inspection_date": (
o.rc_inspection_date.isoformat()
if getattr(o, "rc_inspection_date", None)
else None
),
```
(`getattr` default keeps old test stubs working.) Run the backend suite; expected: PASS.
- [ ] **Step 3: Failing frontend test**
`nextjs-app/lib/types.ts`, in `OfstedInspection`, after `inspection_date`:
```ts
/** Start date of the report-card inspection itself (Nov 2025+); null otherwise. */
rc_inspection_date?: string | null;
```
In `nextjs-app/__tests__/components/CompareOfsted.test.tsx`, add to the existing suite (reusing its fixture style):
```tsx
it('dates a report card with the report-card inspection date, never the legacy date', () => {
const ofsted = reportCardOfsted({
inspection_date: '2021-10-07',
rc_inspection_date: '2026-02-03',
});
render(<CompareOfsted schools={[schoolFixture]} data={{ [String(schoolFixture.urn)]: { ...dataFixture, ofsted } }} />);
expect(screen.getByText(/3 Feb 2026/)).toBeInTheDocument();
expect(screen.queryByText(/7 Oct 2021/)).toBeNull();
expect(screen.queryByText('4+ years ago')).toBeNull();
});
it('shows an em dash when a report card has no rc_inspection_date yet', () => {
const ofsted = reportCardOfsted({ inspection_date: '2021-10-07', rc_inspection_date: null });
render(<CompareOfsted schools={[schoolFixture]} data={{ [String(schoolFixture.urn)]: { ...dataFixture, ofsted } }} />);
expect(screen.getByText('—')).toBeInTheDocument();
expect(screen.queryByText(/7 Oct 2021/)).toBeNull();
});
```
(`reportCardOfsted` = the file's existing report-card fixture builder, or build inline matching its other tests.) Run just this file; expected: FAIL.
- [ ] **Step 4: Frontend implementation**
In `CompareOfsted.tsx`, replace the body of the "Inspected" measure's map:
```tsx
{schools.map((school, i) => {
const ofsted = data[String(school.urn)]?.ofsted;
// A report card is dated by its OWN inspection date. The legacy
// inspection_date belongs to an older inspection and must never
// be shown against a report card (report cards exist only from
// Nov 2025).
const dateIso =
displays[i].kind === 'report_card'
? ofsted?.rc_inspection_date ?? null
: ofsted?.inspection_date ?? null;
const age = yearsSince(dateIso);
return (
<Cell key={school.urn} school={school} index={i}>
{formatInspectionDate(dateIso)}{' '}
{age != null && age > 4 && <Chip tone="neutral">4+ years ago</Chip>}
</Cell>
);
})}
```
- [ ] **Step 5: Run frontend checks**
Run: `cd nextjs-app && npx tsc --noEmit && npm test`
Expected: PASS.
- [ ] **Step 6: Commit**
```bash
git add backend/models.py backend/data_loader.py backend/tests nextjs-app/lib/types.ts nextjs-app/components/compare/CompareOfsted.tsx nextjs-app/__tests__/components/CompareOfsted.test.tsx
git commit -m "fix(compare): date report cards with their own inspection date, never the legacy one"
```
---
### Task 4: Census-based context benchmarks; kill the FSM fallback
**Files:**
- Create: `pipeline/transform/models/marts/fact_census_benchmarks.sql`
- Modify: `pipeline/transform/models/marts/_marts_schema.yml`
- Modify: `backend/models.py` (new `CensusBenchmark` model)
- Modify: `backend/data_loader.py` (`compute_benchmarks`)
- Modify: `backend/app.py` (compare endpoint call site, only if the signature change requires it)
- Test: `backend/tests/test_benchmarks.py`
- Modify: `nextjs-app/components/compare/CompareCommunity.tsx:36`
- Test: `nextjs-app/__tests__/lib/compareLogic.test.ts` or the community section's existing test home (add a fallback-removal test where the FSM chip logic is tested today)
**Interfaces:**
- Consumes: `marts.fact_pupil_characteristics` (urn, year, phase_type_grouping, total_pupils, fsm_pct, eal_pct).
- Produces: `marts.fact_census_benchmarks` — one row per phase (`'primary'`/`'secondary'`), columns `phase, year, fsm_pct, eal_pct, median_pupils`. `fsm_pct`/`eal_pct` are **pupil-weighted means** (so they approximate the national pupil-level rate, answering the expert's objection to school-median anchors). API `benchmarks.{primary,secondary}` keeps its existing keys; `fsm_pct`/`eal_pct`/`median_pupils` now come from this mart; `disadvantaged_pct` becomes primary-only (the KS2-column median was junk for secondary).
- [ ] **Step 1: dbt mart**
Create `pipeline/transform/models/marts/fact_census_benchmarks.sql`:
```sql
{{ config(materialized='table') }}
-- Mart: state-school context benchmarks from the pupil census — one row per
-- phase, latest census year. Computed at import time (never per request).
-- fsm_pct / eal_pct are pupil-weighted means, i.e. "what % of pupils", not
-- "the median school" — this matches how DfE quotes national FSM/EAL rates.
-- Consumers must label these "state-school average (computed from our
-- dataset)" (spec §8.6), never "England average".
with latest as (
select max(year) as year from {{ ref('fact_pupil_characteristics') }}
),
classified as (
select
case
when p.phase_type_grouping ilike '%primary%' then 'primary'
when p.phase_type_grouping ilike '%secondary%' then 'secondary'
end as phase,
p.total_pupils,
p.fsm_pct,
p.eal_pct,
l.year
from {{ ref('fact_pupil_characteristics') }} p
join latest l on p.year = l.year
where p.total_pupils is not null and p.total_pupils > 0
)
select
phase,
max(year) as year,
round((sum(fsm_pct * total_pupils) filter (where fsm_pct is not null)
/ nullif(sum(total_pupils) filter (where fsm_pct is not null), 0))::numeric, 1) as fsm_pct,
round((sum(eal_pct * total_pupils) filter (where eal_pct is not null)
/ nullif(sum(total_pupils) filter (where eal_pct is not null), 0))::numeric, 1) as eal_pct,
round(percentile_cont(0.5) within group (order by total_pupils))::integer as median_pupils
from classified
where phase is not null
group by phase
```
Add a `fact_census_benchmarks` entry to `_marts_schema.yml` in the file's existing style (name + description; column tests only if sibling marts have them).
Run: `cd pipeline/transform && uv run --with dbt-postgres python -m dbt.cli.main parse --profiles-dir .` — expected PASS.
- [ ] **Step 2: Failing backend test**
In `backend/tests/test_benchmarks.py` add:
```python
def test_benchmarks_use_census_mart_for_context(monkeypatch):
census = {
"primary": {"year": 202425, "fsm_pct": 25.3, "eal_pct": 21.8, "median_pupils": 240},
"secondary": {"year": 202425, "fsm_pct": 24.1, "eal_pct": 18.9, "median_pupils": 980},
}
result = compute_benchmarks(_sample_df(), census_benchmarks=census)
assert result["primary"]["fsm_pct"] == 25.3
assert result["secondary"]["eal_pct"] == 18.9
assert result["secondary"]["median_pupils"] == 980
# KS2-only columns must not produce a fake secondary disadvantaged anchor.
assert result["secondary"]["disadvantaged_pct"] is None
def test_benchmarks_context_none_when_mart_missing():
result = compute_benchmarks(_sample_df(), census_benchmarks=None)
assert result["primary"]["fsm_pct"] is None # never silently fall back
```
(`_sample_df()` = this file's existing dataframe fixture.) Run the file; expected: FAIL (unexpected keyword `census_benchmarks`).
- [ ] **Step 3: Backend implementation**
`backend/models.py` (next to the national-average models):
```python
class CensusBenchmark(Base):
"""State-school context benchmarks from the pupil census — one row per phase."""
__tablename__ = "fact_census_benchmarks"
__table_args__ = MARTS
phase = Column(String(20), primary_key=True)
year = Column(Integer)
fsm_pct = Column(Float) # pupil-weighted mean
eal_pct = Column(Float) # pupil-weighted mean
median_pupils = Column(Integer)
```
`backend/data_loader.py` — change the signature and `_block`:
```python
def compute_benchmarks(df: pd.DataFrame, census_benchmarks: dict | None = None) -> dict:
```
Inside, keep `_median` and `_weighted_disadvantaged` as-is, and replace `_block` with:
```python
def _block(sub, phase, with_disadvantaged):
census = (census_benchmarks or {}).get(phase) or {}
block = {
# Context measures come from the census mart (pupil-weighted):
# the performance df has no fsm_pct, and its eal/disadvantaged
# columns are KS2-only — medianing them for "secondary" produced
# junk anchors from the handful of all-through schools.
"eal_pct": census.get("eal_pct"),
"sen_support_pct": _median(sub, "sen_support_pct"),
"disadvantaged_pct": _median(sub, "disadvantaged_pct") if with_disadvantaged else None,
"fsm_pct": census.get("fsm_pct"),
"median_pupils": census.get("median_pupils"),
}
if with_disadvantaged:
block["disadvantaged_rwm_expected_pct"] = _weighted_disadvantaged(sub)
return block
```
and the return:
```python
return {
"source": "state-school average (computed from our dataset)",
"year": int(latest_year),
"primary": _block(prim, "primary", with_disadvantaged=True),
"secondary": _block(sec, "secondary", with_disadvantaged=False),
}
```
In `backend/app.py`'s compare endpoint, load the mart and pass it (same defensive style as the national-averages queries):
```python
census_benchmarks = None
try:
rows = db.query(CensusBenchmark).all()
if rows:
census_benchmarks = {
r.phase: {
"year": r.year,
"fsm_pct": r.fsm_pct,
"eal_pct": r.eal_pct,
"median_pupils": r.median_pupils,
}
for r in rows
}
except Exception:
db.rollback()
...
"benchmarks": compute_benchmarks(df, census_benchmarks=census_benchmarks),
```
(Import `CensusBenchmark`; use the endpoint's existing db session pattern.) Run the backend suite; expected: PASS (update any existing benchmark tests that asserted the old median-sourced fsm/eal values).
- [ ] **Step 4: Frontend — remove the cross-definition fallback**
`nextjs-app/components/compare/CompareCommunity.tsx:36`:
```tsx
const anchor = bench?.fsm_pct ?? null;
```
If the FSM chip has unit coverage, update/add the case: `anchor` null ⇒ no verdict chip rendered (bare value only). Run `cd nextjs-app && npx tsc --noEmit && npm test` — expected PASS.
- [ ] **Step 5: Commit**
```bash
git add pipeline/transform/models/marts backend/models.py backend/data_loader.py backend/app.py backend/tests/test_benchmarks.py nextjs-app/components/compare/CompareCommunity.tsx nextjs-app/__tests__
git commit -m "fix(compare): census-sourced FSM/EAL benchmarks; never fall back across measure definitions"
```
---
### Task 5: Official KS4 national averages
**Files:**
- Modify: `pipeline/plugins/extractors/tap-uk-ees/tap_uk_ees/tap.py` (new stream, registered in `discover_streams`)
- Create: `pipeline/transform/models/staging/stg_ees_ks4_national.sql`
- Modify: `pipeline/transform/models/staging/_stg_sources.yml` (add raw table `ees_ks4_national`)
- Modify: `pipeline/transform/models/marts/fact_ks4_national_averages.sql` (rewrite)
- Modify: `backend/models.py` (Ks4NationalAverage docstring), `backend/app.py` (`_national_averages_payload` — remove the computed fallback)
- Test: `backend/tests/test_national_averages_marts.py`
**Interfaces:**
- Consumes: EES data-catalogue CSV `https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/1b649e16-01e8-435b-a814-56be2faf9054/csv` (columns verified: `time_period, geographic_level, establishment_type_group, breakdown_topic, breakdown, attainment8_average, progress8_average, engmath_95_percent, engmath_94_percent, ebacc_entering_percent, ebacc_95_percent, ebacc_94_percent, ebacc_aps_average, …`).
- Produces: `marts.fact_ks4_national_averages` with the SAME columns as today (so `Ks4NationalAverage` needs no schema change), now holding official DfE figures; `gcse_grade_91_pct` is NULL (not in the official series — the England anchor for that measure disappears, which is correct: it was noise).
- [ ] **Step 1: Tap stream**
In `tap.py`, after the KS2 national stream, add:
```python
# ── KS4 National Headlines (national level only — one row per year) ──────────
# Dataset: "National characteristics summary data" (Key stage 4 performance).
# Official England state-funded headline measures, 2018/19 → latest.
# Suppressed values ('z', 'x') → NULL downstream. Progress 8 is legitimately
# absent in years with no KS2 baseline (e.g. 2024/25) — that is DfE policy,
# not missing data.
_KS4_NATIONAL_CSV_URL = (
"https://explore-education-statistics.service.gov.uk/data-catalogue/"
"data-set/1b649e16-01e8-435b-a814-56be2faf9054/csv"
)
_KS4_NATIONAL_COL_MAP = {
"attainment8_average": "attainment_8_score",
"progress8_average": "progress_8_score",
"engmath_94_percent": "english_maths_standard_pass_pct",
"engmath_95_percent": "english_maths_strong_pass_pct",
"ebacc_entering_percent": "ebacc_entry_pct",
"ebacc_94_percent": "ebacc_standard_pass_pct",
"ebacc_95_percent": "ebacc_strong_pass_pct",
"ebacc_aps_average": "ebacc_avg_score",
}
class EESKs4NationalStream(Stream):
"""National KS4 headline averages — one row per academic year.
Filters to geographic_level == 'National', establishment_type_group ==
'All state-funded', breakdown_topic == 'Total', breakdown == 'Total'
so only the England-wide all-pupils row per year is emitted.
"""
name = "ees_ks4_national"
primary_keys = ["time_period"]
replication_key = None
schema = th.PropertiesList(
th.Property("time_period", th.StringType, required=True),
*[th.Property(out, th.StringType) for out in _KS4_NATIONAL_COL_MAP.values()],
).to_dict()
def get_records(self, context):
import pandas as pd
self.logger.info("Downloading KS4 national headlines: %s", _KS4_NATIONAL_CSV_URL)
resp = requests.get(_KS4_NATIONAL_CSV_URL, timeout=60)
resp.raise_for_status()
df = pd.read_csv(io.BytesIO(resp.content), dtype=str, keep_default_na=False)
df.columns = [c.strip().lower() for c in df.columns]
for col, want in [
("geographic_level", "national"),
("establishment_type_group", "all state-funded"),
("breakdown_topic", "total"),
("breakdown", "total"),
]:
if col in df.columns:
df = df[df[col].str.strip().str.lower() == want]
self.logger.info("Emitting %d national KS4 rows", len(df))
for _, row in df.iterrows():
record = {"time_period": row.get("time_period", "").strip()}
for src, out in _KS4_NATIONAL_COL_MAP.items():
record[out] = row.get(src, "")
yield record
```
Register `EESKs4NationalStream(self)` in `discover_streams` next to the KS2 national stream.
- [ ] **Step 2: Raw source + staging model**
Add to `_stg_sources.yml` under the raw source, matching the `ees_ks2_national` entry's style:
```yaml
- name: ees_ks4_national
description: Official DfE KS4 national headline averages (EES data catalogue)
```
Create `pipeline/transform/models/staging/stg_ees_ks4_national.sql`:
```sql
{{ config(materialized='table') }}
-- Staging model: official DfE KS4 national headline averages — one row per
-- academic year (England, all state-funded, all pupils). Source: EES data
-- catalogue "National characteristics summary data". Suppressed values
-- ('z', 'x') are coerced to NULL by safe_numeric — Progress 8 is 'z' in
-- years with no KS2 baseline (e.g. 2024/25): legitimately unpublished.
select
cast(trim(time_period) as integer) as year,
{{ safe_numeric('attainment_8_score') }} as attainment_8_score,
{{ safe_numeric('progress_8_score') }} as progress_8_score,
{{ safe_numeric('english_maths_standard_pass_pct') }} as english_maths_standard_pass_pct,
{{ safe_numeric('english_maths_strong_pass_pct') }} as english_maths_strong_pass_pct,
{{ safe_numeric('ebacc_entry_pct') }} as ebacc_entry_pct,
{{ safe_numeric('ebacc_standard_pass_pct') }} as ebacc_standard_pass_pct,
{{ safe_numeric('ebacc_strong_pass_pct') }} as ebacc_strong_pass_pct,
{{ safe_numeric('ebacc_avg_score') }} as ebacc_avg_score
from {{ source('raw', 'ees_ks4_national') }}
where time_period ~ '^[0-9]+$'
```
- [ ] **Step 3: Rewrite the mart**
Replace the entire body of `fact_ks4_national_averages.sql`:
```sql
{{ config(materialized='table') }}
-- Mart: OFFICIAL DfE KS4 national headline averages — one row per academic
-- year (England, state-funded, all pupils), from the EES national dataset.
-- Replaces the previous unweighted school-level means, which were 715
-- points off every headline measure and produced an arithmetically
-- impossible national Progress 8. gcse_grade_91_pct has no official
-- national series and is NULL (schema kept for the API model).
select
year,
attainment_8_score,
progress_8_score,
english_maths_standard_pass_pct,
english_maths_strong_pass_pct,
ebacc_entry_pct,
ebacc_standard_pass_pct,
ebacc_strong_pass_pct,
ebacc_avg_score,
cast(null as double precision) as gcse_grade_91_pct
from {{ ref('stg_ees_ks4_national') }}
order by year
```
Run: `cd pipeline/transform && uv run --with dbt-postgres python -m dbt.cli.main parse --profiles-dir .` — expected PASS.
- [ ] **Step 4: Backend — official provenance, no computed fallback**
`backend/models.py`: change the `Ks4NationalAverage` docstring to `"""Official DfE KS4 national headline averages — one row per academic year."""`.
`backend/app.py` `_national_averages_payload`: delete the entire `if not any(secondary_by_year.values()):` fallback block (it computes dataset means that the UI footnote then labels official). Update the function docstring's KS4 sentence to: `official DfE KS4 figures (fact_ks4_national_averages). If the KS4 mart hasn't been built yet, the secondary series is empty — never a computed stand-in, because the UI labels these figures as official.`
Update `backend/tests/test_national_averages_marts.py`: the test that exercised the fallback now asserts the opposite —
```python
def test_ks4_secondary_empty_when_mart_missing(...):
# No computed stand-in: the UI labels national figures as official DfE
# data, so an empty mart must yield an empty secondary series.
payload = _national_averages_payload(df)
assert all(not e["secondary"] for e in payload["by_year"])
```
(adapt to the file's existing fixtures/monkeypatching). Run the backend suite — expected PASS.
- [ ] **Step 5: Commit**
```bash
git add pipeline/plugins/extractors/tap-uk-ees pipeline/transform backend
git commit -m "fix(data): official DfE KS4 national headline averages; drop mislabelled computed means"
```
---
### Task 6: Honest 2021/22 footnote
**Files:**
- Modify: `nextjs-app/components/ComparisonChart.tsx:243-247`
- Modify: `nextjs-app/lib/compareChartData.ts` (comment lines 7, 5355 — comments only, no logic)
- Modify: `nextjs-app/__tests__/lib/compareChartData.test.ts` (test name/comment wording only)
- Modify: `docs/superpowers/specs/2026-07-11-compare-screen-redesign-design.md` §8.1
**Interfaces:** none — copy and docs only. This is the one place the plan changes reviewed copy, because the reviewed copy is factually wrong (Global Constraints exception).
- [ ] **Step 1: Fix the user-facing copy**
In `ComparisonChart.tsx` replace the note:
```tsx
{built.showUnpublished202122Note && (
<p className={styles.chartNote}>
No national tests were held in 2019/20 and 2020/21 (COVID), and our dataset doesn&apos;t
yet include school-level figures for 2021/22 the England average is shown for that
year.
</p>
)}
```
- [ ] **Step 2: Fix the lying comments**
In `compareChartData.ts`, update the header comment (line 7) and the `showUnpublished202122Note` doc comment (lines 5355) to say the 2021/22 school-level figures are *absent from our dataset* (DfE published them in Dec 2022; ingesting them is a backlog pipeline task), not "unpublished". Rename nothing (the flag name stays — pure rename churn). In `compareChartData.test.ts`, adjust the test description/comment wording the same way.
- [ ] **Step 3: Correct spec §8.1**
In the spec's §8.1, replace any wording that calls 2021/22 school-level KS2 a "permanent DfE gap" with: DfE published school-level KS2 results for 2021/22 in December 2022 (with comparability caveats); they are not yet ingested — loading them remains an open pipeline task, and the chart footnote says "our dataset doesn't yet include" accordingly.
- [ ] **Step 4: Verify + commit**
Run: `cd nextjs-app && npx tsc --noEmit && npm test` — expected PASS.
```bash
git add nextjs-app docs/superpowers/specs/2026-07-11-compare-screen-redesign-design.md
git commit -m "fix(compare): stop attributing the missing 2021/22 school-level year to DfE"
```
---
### Task 7: Full verification, PR, and post-deploy checklist
**Files:** none new (verification + PR).
- [ ] **Step 1: Run everything**
```bash
uv run --with-requirements requirements.txt --with pytest --with "httpx==0.27.0" python -m pytest backend/tests -q
cd nextjs-app && npx tsc --noEmit && npm test && cd ..
cd pipeline/transform && uv run --with dbt-postgres python -m dbt.cli.main parse --profiles-dir . && cd ../..
```
Expected: all PASS.
- [ ] **Step 2: Open the PR**
Push `fix/compare-final-review-mustfix`; open a PR via the Gitea API using `git credential fill` basic auth (token-header auth 401s). PR body: summarize the five findings and fixes, link the expert review, end with the standard Claude Code attribution + session URL. Note in the body that findings 2 and 4 also need a **DAG run after the staging deploy** before the UI shows corrected data.
- [ ] **Step 3: Post-merge staging verification (after the user merges and the daily DAG runs — record results, do not promote)**
```bash
# Report card dated by its own inspection (Barclay): expect 2026-02-03
curl -sk "https://stx.schoolcompare.co.uk/api/compare?urns=138690" | python3 -c "import json,sys; o=json.load(sys.stdin)['comparison']['138690']['ofsted']; print(o['rc_inspection_date'], o['inspection_date'])"
# Stale Watford rc grades cleared by the fresh extract: expect report_card == {}
curl -sk "https://stx.schoolcompare.co.uk/api/compare?urns=136276" | python3 -c "import json,sys; print(json.load(sys.stdin)['comparison']['136276']['ofsted']['report_card'])"
# Official KS4 nationals: expect A8 46.0 for 202425, progress_8_score absent
curl -sk "https://stx.schoolcompare.co.uk/api/national-averages" | python3 -c "import json,sys; print(json.load(sys.stdin)['secondary'])"
# FSM benchmark real (~24-26), secondary disadvantaged_pct gone
curl -sk "https://stx.schoolcompare.co.uk/api/compare?urns=138690,136276" | python3 -c "import json,sys; print(json.load(sys.stdin)['benchmarks'])"
```
Then re-screenshot both phase views (desktop + mobile, "More measures" expanded, Watford Grammar in the secondary set) and hand them to the Ofsted expert agent for the sign-off pass it said it expects. Production promotion remains the human's manual call.
---
## Out of Scope (expert should-fix/minor — separate follow-ups)
- 137086-style interim state (subgrades without an overall from an RI reinspection) rendering treatment (finding 6).
- Disadvantaged cohort sizes on the attainment row (finding 7, spec §8.5).
- SEN/EAL "typical school" labelling and secondary SEN benchmark (finding 8) — note Task 4 already upgrades EAL to a pupil-weighted census figure.
- Selective-school admissions copy variant (finding 9).
- Removing/relabelling `gcse_grade_91_pct` as a compare measure (finding 10) — Task 5 already removes its false England anchor.
- Palette deviation (11), trends picker label (12), "More measures" expanded-state verification (13).
- Actually ingesting the 2021/22 school-level KS2 release (the copy in Task 6 says "doesn't *yet* include").
@@ -256,7 +256,12 @@ implementation, beyond what the mockups can show:
DfE stated it would not publish KS2 2021/22 in performance tables DfE stated it would not publish KS2 2021/22 in performance tables
(verified 2026-07-12 against EES, the CSP download service, and (verified 2026-07-12 against EES, the CSP download service, and
DfE release notes; see `# TASK 6 VERIFICATION` in DfE release notes; see `# TASK 6 VERIFICATION` in
`pipeline/scripts/diagnose_compare_gaps.py`). The chart's England- `pipeline/scripts/diagnose_compare_gaps.py`; re-verified 2026-07-16
after an expert-review challenge — the GOV.UK statistics announcement
"Primary school performance tables: 2022" is marked CANCELLED with
"will not be published in key stage 2 performance tables in academic
year 2021/22", so the footnote's "DfE didn't publish" claim stands
and must not be softened to "not in our dataset"). The chart's England-
only 2021/22 point with broken school lines is therefore the only 2021/22 point with broken school lines is therefore the
correct permanent rendering; copy should say "DfE didn't publish correct permanent rendering; copy should say "DfE didn't publish
school-level figures for 2021/22", not "not in our dataset yet". school-level figures for 2021/22", not "not in our dataset yet".
+70
View File
@@ -40,6 +40,19 @@ async function twoPrimaryUrns(page: Page): Promise<[string, string]> {
return [urns[0], urns[1]]; return [urns[0], urns[1]];
} }
async function twoSecondaryUrns(page: Page): Promise<[string, string]> {
const res = await page.request.get('/api/schools?search=school&per_page=100');
expect(res.ok()).toBeTruthy();
const body = await res.json();
const urns: string[] = (body.schools ?? [])
.filter((s: { phase?: string; attainment_8_score?: number | null }) =>
s.phase === 'Secondary' && s.attainment_8_score != null,
)
.map((s: { urn: number }) => String(s.urn));
expect(urns.length).toBeGreaterThanOrEqual(2);
return [urns[0], urns[1]];
}
test('home page loads with hero search', async ({ page }) => { test('home page loads with hero search', async ({ page }) => {
await page.goto('/'); await page.goto('/');
await expect(page.locator('h1').first()).toBeVisible(); await expect(page.locator('h1').first()).toBeVisible();
@@ -184,6 +197,16 @@ test('comparing two schools shows the parent-first sections side by side', async
// Every number gets an anchor: at least one England-average tick or label // Every number gets an anchor: at least one England-average tick or label
await expect(page.getByText(/England \d+/).first()).toBeVisible(); await expect(page.getByText(/England \d+/).first()).toBeVisible();
// Desktop: the sticky school bar shares the sections' grid template
// (200px label rail + one column per school) so chips align with the
// columns they label.
const barTemplate = await page
.locator('[aria-label="Schools in this comparison"]')
.evaluate((el) => getComputedStyle(el).gridTemplateColumns);
expect(barTemplate).toMatch(/^200px /);
// ...and its label rail carries the comparison caption.
await expect(page.getByText(/^\d+ (primary|secondary) schools?$/)).toBeVisible();
// Ofsted linkout goes to the school's provider page, never a report deep-link // Ofsted linkout goes to the school's provider page, never a report deep-link
const ofstedLink = page.getByRole('link', { name: /Ofsted page/i }).first(); const ofstedLink = page.getByRole('link', { name: /Ofsted page/i }).first();
await expect(ofstedLink).toBeVisible(); await expect(ofstedLink).toBeVisible();
@@ -199,6 +222,53 @@ test('comparing two schools shows the parent-first sections side by side', async
} }
}); });
test('comparing two secondary schools renders the secondary sections', async ({ page }) => {
const [urn0, urn1] = await twoSecondaryUrns(page);
await page.goto(`/compare?urns=${urn0},${urn1}`);
await expect(page.locator(`a[href*="${urn0}"]`).first()).toBeVisible({ timeout: 15_000 });
// The parent-first sections must render — this page was completely blank
// for all-secondary baskets (expert review must-fix #1).
await expect(page.getByRole('heading', { name: 'At a glance' }).first()).toBeVisible({
timeout: 15_000,
});
await expect(page.getByRole('heading', { name: 'Ofsted inspection' }).first()).toBeVisible();
// A KS4 measure proves the secondary academics variant rendered.
await expect(page.getByText(/Attainment 8/i).first()).toBeVisible();
await expect(page.getByText(/No primary schools in your comparison/)).toHaveCount(0);
// The admissions template must be phase-aware: the primaries' distance
// copy ("non-faith primaries") must never appear on a secondary comparison
// (expert sign-off must-fix M3).
await expect(page.getByText(/non-faith primaries/)).toHaveCount(0);
});
test('opening a different compare link after a previous comparison still renders', async ({ page }) => {
// Regression: the first visit stores a basket in localStorage; opening a
// link for a DIFFERENT school set then raced a stale fetch for the stored
// basket against the new SSR data, blanking every section (including the
// trends chart) until a hard refresh.
const [s0, s1] = await twoSecondaryUrns(page);
const [p0, p1] = await twoPrimaryUrns(page);
await page.goto(`/compare?urns=${s0},${s1}`);
await expect(page.getByRole('heading', { name: 'At a glance' }).first()).toBeVisible({
timeout: 15_000,
});
await page.goto(`/compare?urns=${p0},${p1}`);
await expect(page.getByRole('heading', { name: 'At a glance' }).first()).toBeVisible({
timeout: 15_000,
});
// Give any straggling stale response time to land, then confirm the new
// comparison is still on screen.
await page.waitForTimeout(1500);
await expect(page.getByRole('heading', { name: 'At a glance' }).first()).toBeVisible();
await expect(page.getByRole('heading', { name: 'Explore trends' }).first()).toBeVisible();
await expect(page.locator(`a[href*="${p0}"]`).first()).toBeVisible();
});
test('compare chart on mobile shows school chips with tap-to-focus', async ({ page }) => { test('compare chart on mobile shows school chips with tap-to-focus', async ({ page }) => {
await page.setViewportSize({ width: 390, height: 844 }); await page.setViewportSize({ width: 390, height: 844 });
@@ -0,0 +1,140 @@
/**
* Getting a place — phase and school-type correctness (expert sign-off
* must-fixes M1/M3):
* - an all-through school's Year 7 round must never render on the primary
* tab as if it were Reception odds;
* - selective schools get entrance-test framing, and the secondary tab
* never shows the primaries' distance template.
*/
import { render, screen } from '@testing-library/react';
import { CompareAdmissions } from '@/components/compare/CompareAdmissions';
import type { ComparisonData, School, SchoolAdmissions } from '@/lib/types';
function school(urn: number, name: string, extra: Partial<School> = {}): School {
return { urn, school_name: name, ...extra } as School;
}
function admissions(partial: Partial<SchoolAdmissions>): SchoolAdmissions {
return {
year: 202627,
school_phase: 'Secondary',
places_offered: 173,
total_applications: 433,
first_preference_offer_pct: 83,
oversubscribed: true,
...partial,
} as SchoolAdmissions;
}
function entry(info: School, a: SchoolAdmissions | null): ComparisonData {
return {
school_info: info,
yearly_data: [],
ofsted: null,
census: null,
admissions: a,
admissions_history: a ? [a] : [],
deprivation: null,
};
}
describe('CompareAdmissions', () => {
it("does not show an all-through school's Year 7 round on the primary tab", () => {
// The real M1 scenario: an all-through school (Year 7 round only) beside
// a primary with a Reception round.
const allThrough = school(137306, 'Hessle High and Penshurst Primary');
const primary = school(138690, 'Barclay Primary School');
const data = {
'137306': entry(allThrough, admissions({ school_phase: 'Secondary' })),
'138690': entry(
primary,
admissions({
school_phase: 'Primary',
total_applications: 300,
places_offered: 120,
first_preference_offer_pct: 96,
}),
),
};
render(<CompareAdmissions schools={[allThrough, primary]} data={data} isSecondary={false} />);
// Hessle's Year 7 figures must not appear…
expect(screen.queryByText('433')).toBeNull();
expect(
screen.getByText(/We don't hold Reception admissions data for this school/),
).toBeInTheDocument();
// …while Barclay's Reception round renders normally.
expect(screen.getByText('300')).toBeInTheDocument();
});
it('phase-labels the section empty state when no matching round exists at all', () => {
const allThrough = school(137306, 'Hessle High and Penshurst Primary');
const data = { '137306': entry(allThrough, admissions({ school_phase: 'Secondary' })) };
render(<CompareAdmissions schools={[allThrough]} data={data} isSecondary={false} />);
expect(
screen.getByText(/No Reception admissions data is available for these schools yet/),
).toBeInTheDocument();
expect(screen.queryByText('433')).toBeNull();
});
it('shows the Year 7 round on the secondary tab', () => {
const allThrough = school(137306, 'Hessle High and Penshurst Primary');
const data = { '137306': entry(allThrough, admissions({ school_phase: 'Secondary' })) };
render(<CompareAdmissions schools={[allThrough]} data={data} isSecondary={true} />);
expect(screen.getByText('433')).toBeInTheDocument();
expect(screen.getByText('173')).toBeInTheDocument();
});
it('gives selective schools entrance-test framing, never the distance template', () => {
const grammar = school(136276, 'Watford Grammar School for Boys', {
admissions_policy: 'Selective',
religious_denomination: 'Church of England',
});
const data = {
'136276': entry(grammar, admissions({ first_preference_offer_pct: 43.7 })),
};
render(<CompareAdmissions schools={[grammar]} data={data} isSecondary={true} />);
expect(
screen.getByText(/Entry is by entrance test — the school is selective/),
).toBeInTheDocument();
expect(screen.queryByText(/non-faith primaries/)).toBeNull();
});
it('secondary faith school gets faith-aware copy, not the primaries template', () => {
const faithSchool = school(102052, "Bishop Stopford's School", {
admissions_policy: 'Non-selective',
religious_denomination: 'Church of England',
});
const data = {
'102052': entry(faithSchool, admissions({ first_preference_offer_pct: 68 })),
};
render(<CompareAdmissions schools={[faithSchool]} data={data} isSecondary={true} />);
expect(screen.getByText(/faith-based criteria may apply/)).toBeInTheDocument();
expect(screen.queryByText(/non-faith primaries/)).toBeNull();
});
it('keeps the reviewed distance copy for oversubscribed non-faith primaries', () => {
const primary = school(100140, 'Plumcroft Primary School');
const data = {
'100140': entry(
primary,
admissions({ school_phase: 'Primary', first_preference_offer_pct: 73.4 }),
),
};
render(<CompareAdmissions schools={[primary]} data={data} isSecondary={false} />);
expect(screen.getByText(/for most non-faith primaries, distance decides/)).toBeInTheDocument();
});
});
@@ -96,6 +96,70 @@ describe('CompareOfsted', () => {
expect(links[0]).toHaveAttribute('href', 'https://reports.ofsted.gov.uk/provider/21/1'); expect(links[0]).toHaveAttribute('href', 'https://reports.ofsted.gov.uk/provider/21/1');
}); });
it('never renders Ofsted sentinel codes (9 = not applicable) as judgement chips', () => {
const sentinelSchool = school(6, 'Sentinel School');
const sentinelData: Record<string, ComparisonData> = {
'6': {
school_info: sentinelSchool,
yearly_data: [],
ofsted: ofsted({
overall_effectiveness: 2,
grade_source: 'graded',
quality_of_education: 1,
early_years_provision: 9,
sixth_form_provision: 2,
}),
},
};
render(<CompareOfsted schools={[sentinelSchool]} data={sentinelData} />);
// Real grades render…
expect(screen.getByText('Quality of education')).toBeInTheDocument();
// …the applicable sixth-form judgement renders (was previously dropped)…
expect(screen.getByText('Sixth form provision')).toBeInTheDocument();
// …and the not-applicable sentinel never appears, neither as area nor code.
expect(screen.queryByText('Early years provision')).toBeNull();
expect(screen.queryByText('9')).toBeNull();
});
it('dates a report card with the report-card inspection date, never the legacy date', () => {
const cardSchool = school(4, 'Dated Card School');
const cardData: Record<string, ComparisonData> = {
'4': {
school_info: cardSchool,
yearly_data: [],
ofsted: ofsted({
inspection_date: '2021-10-07',
rc_inspection_date: '2026-02-03',
rc_safeguarding_met: true,
report_card: { rc_achievement: { code: 1, label: 'Exceptional' } },
}),
},
};
render(<CompareOfsted schools={[cardSchool]} data={cardData} />);
expect(screen.getByText(/3 Feb 2026/)).toBeInTheDocument();
expect(screen.queryByText(/7 Oct 2021/)).toBeNull();
expect(screen.queryByText('4+ years ago')).toBeNull();
});
it('shows an em dash when a report card has no rc_inspection_date yet', () => {
const cardSchool = school(5, 'Undated Card School');
const cardData: Record<string, ComparisonData> = {
'5': {
school_info: cardSchool,
yearly_data: [],
ofsted: ofsted({
inspection_date: '2021-10-07',
rc_inspection_date: null,
rc_safeguarding_met: true,
report_card: { rc_achievement: { code: 1, label: 'Exceptional' } },
}),
},
};
render(<CompareOfsted schools={[cardSchool]} data={cardData} />);
expect(screen.getByText('—')).toBeInTheDocument();
expect(screen.queryByText(/7 Oct 2021/)).toBeNull();
});
it('renders a per-measure mobile tag with the short school name', () => { it('renders a per-measure mobile tag with the short school name', () => {
render(<CompareOfsted schools={schools} data={data} />); render(<CompareOfsted schools={schools} data={data} />);
// Each measure repeats the schools, so the short name ("Graded" from // Each measure repeats the schools, so the short name ("Graded" from
@@ -0,0 +1,78 @@
/**
* Regression: an all-secondary comparison must render the secondary sections.
*
* The basket hydrates from the URL a beat after mount, so the auto-phase
* effect must re-run once selectedSchools arrives — with deps of only
* [comparisonData] it fired once against an empty basket, bailed, and the
* page stayed on an empty "primary" tab ("No primary schools in your
* comparison") even though all schools were secondary.
*/
import { render, screen, waitFor } from '@testing-library/react';
import { ComparisonView } from '@/components/ComparisonView';
import { ComparisonProvider } from '@/context/ComparisonProvider';
import type { ComparisonData, School } from '@/lib/types';
const fetchComparison = jest.fn();
jest.mock('@/lib/api', () => ({
fetchComparison: (...args: unknown[]) => fetchComparison(...args),
}));
jest.mock('@/lib/analytics', () => ({ track: jest.fn() }));
function secondarySchool(urn: number, name: string): School {
return {
urn,
school_name: name,
local_authority: 'Testshire',
school_type: 'Academy converter',
attainment_8_score: 55,
phase: 'Secondary',
} as School;
}
function data(urn: number, name: string): ComparisonData {
return {
school_info: secondarySchool(urn, name),
yearly_data: [{ year: 202425, attainment_8_score: 55 }] as ComparisonData['yearly_data'],
ofsted: null,
census: null,
admissions: null,
admissions_history: [],
deprivation: null,
};
}
const INITIAL_DATA = {
'300': data(300, 'Gamma High'),
'400': data(400, 'Delta Academy'),
};
test('an all-secondary comparison renders the sections, not an empty primary tab', async () => {
render(
<ComparisonProvider>
<ComparisonView
initialData={INITIAL_DATA}
initialNationalAverages={{
year: 202425,
primary: {},
secondary: { attainment_8_score: 46 },
by_year: [],
}}
initialBenchmarks={undefined}
initialUrns={[300, 400]}
metrics={[]}
selectedMetric="attainment_8_score"
/>
</ComparisonProvider>,
);
await waitFor(() => {
expect(screen.getByRole('heading', { name: 'At a glance' })).toBeInTheDocument();
});
expect(screen.getAllByText('Gamma High').length).toBeGreaterThan(0);
expect(screen.queryByText(/No primary schools in your comparison/)).toBeNull();
// The sticky bar's rail caption reflects the active phase and count.
expect(screen.getByText('2 secondary schools')).toBeInTheDocument();
expect(fetchComparison).not.toHaveBeenCalled();
});
@@ -0,0 +1,107 @@
/**
* Regression: opening a compare link while a DIFFERENT basket is stored must
* not blank the page.
*
* The basket hydrates from localStorage first, which can fire a fetch for the
* OLD school set; the URL-seed effect then replaces the basket with the URL's
* schools (already covered by SSR data, so no new fetch). When the stale
* response for the old set finally lands, it must not clobber the fresh SSR
* data — that left every section (including the trends chart) empty until a
* hard refresh.
*/
import { act, render, screen, waitFor } from '@testing-library/react';
import { ComparisonView } from '@/components/ComparisonView';
import { ComparisonProvider } from '@/context/ComparisonProvider';
import type { ComparisonData, School } from '@/lib/types';
const fetchComparison = jest.fn();
jest.mock('@/lib/api', () => ({
fetchComparison: (...args: unknown[]) => fetchComparison(...args),
}));
jest.mock('@/lib/analytics', () => ({ track: jest.fn() }));
function school(urn: number, name: string): School {
return {
urn,
school_name: name,
local_authority: 'Testshire',
school_type: 'Community school',
rwm_expected_pct: 80,
phase: 'Primary',
} as School;
}
function data(urn: number, name: string): ComparisonData {
return {
school_info: school(urn, name),
yearly_data: [{ year: 202425, rwm_expected_pct: 80 }] as ComparisonData['yearly_data'],
ofsted: null,
census: null,
admissions: null,
admissions_history: [],
deprivation: null,
};
}
// The visitor's previously stored basket (a different school entirely).
const STORED_SCHOOL = school(900, 'Old Stored School');
// The comparison the URL (and SSR) actually asked for.
const URL_DATA = {
'100': data(100, 'Alpha Primary'),
'200': data(200, 'Beta Primary'),
};
beforeEach(() => {
fetchComparison.mockReset();
localStorage.clear();
});
test('a stale fetch for the previously stored basket does not clobber the URL comparison', async () => {
localStorage.setItem('selectedSchools', JSON.stringify([STORED_SCHOOL]));
const pending: Array<(v: unknown) => void> = [];
fetchComparison.mockImplementation(() => new Promise((resolve) => pending.push(resolve)));
render(
<ComparisonProvider>
<ComparisonView
initialData={URL_DATA}
initialNationalAverages={{
year: 202425,
primary: { rwm_expected_pct: 62 },
secondary: {},
by_year: [],
}}
initialBenchmarks={undefined}
initialUrns={[100, 200]}
metrics={[]}
selectedMetric="rwm_expected_pct"
/>
</ComparisonProvider>,
);
// The URL's schools render from SSR data once the basket is reseeded.
await waitFor(() => {
expect(screen.getByRole('heading', { name: 'At a glance' })).toBeInTheDocument();
});
expect(screen.getAllByText('Alpha Primary').length).toBeGreaterThan(0);
// The transient stored-basket fetch (for school 900) resolves LATE, after
// the basket has moved on to the URL's schools.
await act(async () => {
for (const resolve of pending) {
resolve({
comparison: { '900': data(900, 'Old Stored School') },
national_averages: { year: 202425, primary: {}, secondary: {}, by_year: [] },
benchmarks: undefined,
});
}
});
// The page must still show the URL comparison — not go blank.
expect(screen.getByRole('heading', { name: 'At a glance' })).toBeInTheDocument();
expect(screen.getAllByText('Alpha Primary').length).toBeGreaterThan(0);
});
@@ -73,6 +73,15 @@ describe('buildCompareChart', () => {
expect(eng.data[chart.years.indexOf(202122)]).toBe(58.7); expect(eng.data[chart.years.indexOf(202122)]).toBe(58.7);
}); });
it('lists England-only years so the component can caption dashed-only stretches', () => {
const chart = buildCompareChart(THREE_SCHOOLS, SCHOOL_LIST, 'rwm_expected_pct', {
202122: 58.7,
});
expect(chart.englandOnlyYears).toEqual([202122]);
const none = buildCompareChart(THREE_SCHOOLS, SCHOOL_LIST, 'rwm_expected_pct');
expect(none.englandOnlyYears).toEqual([]);
});
it('flags the unpublished 2021/22 school-level year when England has data but schools do not', () => { it('flags the unpublished 2021/22 school-level year when England has data but schools do not', () => {
const withNational = buildCompareChart(THREE_SCHOOLS, SCHOOL_LIST, 'rwm_expected_pct', { const withNational = buildCompareChart(THREE_SCHOOLS, SCHOOL_LIST, 'rwm_expected_pct', {
202122: 58.7, 202122: 58.7,
@@ -7,6 +7,7 @@
import { import {
OFSTED_LEGACY_GRADES, OFSTED_LEGACY_GRADES,
admissionsForPhase,
ofstedDisplay, ofstedDisplay,
progressBand, progressBand,
rcAreaLabel, rcAreaLabel,
@@ -176,6 +177,16 @@ describe('summariseAdmissions', () => {
expect(s.chip).toEqual({ tone: 'warn', text: 'Over 1 in 4 first choices missed out' }); expect(s.chip).toEqual({ tone: 'warn', text: 'Over 1 in 4 first choices missed out' });
}); });
it('60% → "About 1 in 3 first choices missed out"', () => {
const s = summariseAdmissions(admissions({ first_preference_offer_pct: 60 }));
expect(s.chip).toEqual({ tone: 'warn', text: 'About 1 in 3 first choices missed out' });
});
it('44% (selective-scale demand) → "More than half of first choices missed out"', () => {
const s = summariseAdmissions(admissions({ first_preference_offer_pct: 43.69 }));
expect(s.chip).toEqual({ tone: 'warn', text: 'More than half of first choices missed out' });
});
it('100% → "All first choices offered"', () => { it('100% → "All first choices offered"', () => {
const s = summariseAdmissions(admissions({ first_preference_offer_pct: 100 })); const s = summariseAdmissions(admissions({ first_preference_offer_pct: 100 }));
expect(s.chip).toEqual({ tone: 'good', text: 'All first choices offered' }); expect(s.chip).toEqual({ tone: 'good', text: 'All first choices offered' });
@@ -188,6 +199,44 @@ describe('summariseAdmissions', () => {
}); });
}); });
describe('admissionsForPhase', () => {
const row = (year: number, school_phase: string | null): SchoolAdmissions =>
({ year, school_phase, places_offered: 100, total_applications: 200, first_preference_offer_pct: 80 }) as SchoolAdmissions;
it('returns the latest round matching the active phase', () => {
const data = {
admissions: row(202627, 'Secondary'),
admissions_history: [row(202526, 'Secondary'), row(202526, 'Primary'), row(202425, 'Primary')],
};
expect(admissionsForPhase(data, true)?.year).toBe(202627);
expect(admissionsForPhase(data, false)?.year).toBe(202526);
expect(admissionsForPhase(data, false)?.school_phase).toBe('Primary');
});
it("never substitutes the other phase's round (all-through with Year 7 data only)", () => {
const data = {
admissions: row(202627, 'Secondary'),
admissions_history: [row(202526, 'Secondary')],
};
expect(admissionsForPhase(data, false)).toBeNull();
expect(admissionsForPhase(data, true)?.year).toBe(202627);
});
it('uses untagged legacy rows only when no row carries a phase', () => {
const untagged = { admissions: row(202627, null), admissions_history: [row(202526, null)] };
expect(admissionsForPhase(untagged, false)?.year).toBe(202627);
expect(admissionsForPhase(untagged, true)?.year).toBe(202627);
const mixed = { admissions: row(202627, 'Secondary'), admissions_history: [row(202526, null)] };
expect(admissionsForPhase(mixed, false)).toBeNull();
});
it('handles missing data', () => {
expect(admissionsForPhase(null, false)).toBeNull();
expect(admissionsForPhase({ admissions: null, admissions_history: [] }, true)).toBeNull();
});
});
describe('progressBand', () => { describe('progressBand', () => {
it('CI entirely above zero → above', () => { it('CI entirely above zero → above', () => {
expect(progressBand(1.2, 0.4, 2.0)).toBe('above'); expect(progressBand(1.2, 0.4, 2.0)).toBe('above');
@@ -1,16 +1,23 @@
/* Chart wrapper: chips (mobile) above, canvas filling the rest of the /* Chart wrapper: chips (mobile) above, then the canvas, then the gap note.
parent .chartContainer, whose fixed height drives Chart.js sizing via The canvas has its OWN definite height (Chart.js needs one for
maintainAspectRatio: false. */ maintainAspectRatio: false); the chips and the note flow at their natural
size around it rather than competing with it for a fixed outer height —
so a longer note (e.g. the KS4 gap caption) or a two-row chip legend can
never squash the chart. */
.wrapper { .wrapper {
display: flex; display: flex;
flex-direction: column; flex-direction: column;
height: 100%;
} }
.canvasBox { .canvasBox {
position: relative; position: relative;
flex: 1 1 auto; height: 380px;
min-height: 0; }
@media (max-width: 640px) {
.canvasBox {
height: 280px;
}
} }
/* School chips: mobile-only legend + tap-to-focus control. Desktop keeps /* School chips: mobile-only legend + tap-to-focus control. Desktop keeps
+19 -5
View File
@@ -38,13 +38,15 @@ interface ComparisonChartProps {
/** Official England figure per academic year for this metric — renders a /** Official England figure per academic year for this metric — renders a
* dashed grey reference line when provided. */ * dashed grey reference line when provided. */
nationalByYear?: Record<number, number | null | undefined>; nationalByYear?: Record<number, number | null | undefined>;
/** KS4 metrics get a different (honest) gap caption than KS2. */
isSecondary?: boolean;
} }
// One shape per basket slot (MAX_SCHOOLS = 5) — secondary encoding so // One shape per basket slot (MAX_SCHOOLS = 5) — secondary encoding so
// converging lines stay tellable apart without relying on hue alone. // converging lines stay tellable apart without relying on hue alone.
const POINT_STYLES: PointStyle[] = ['circle', 'triangle', 'rect', 'rectRot', 'star']; const POINT_STYLES: PointStyle[] = ['circle', 'triangle', 'rect', 'rectRot', 'star'];
export function ComparisonChart({ comparisonData, schools, metric, metricLabel, nationalByYear }: ComparisonChartProps) { export function ComparisonChart({ comparisonData, schools, metric, metricLabel, nationalByYear, isSecondary = false }: ComparisonChartProps) {
const isMobile = useIsMobile(); const isMobile = useIsMobile();
const [focusedUrn, setFocusedUrn] = useState<number | null>(null); const [focusedUrn, setFocusedUrn] = useState<number | null>(null);
@@ -168,7 +170,7 @@ export function ComparisonChart({ comparisonData, schools, metric, metricLabel,
display: true, display: true,
title: { title: {
display: !isMobile, display: !isMobile,
text: kind === 'percentage' ? 'Percentage (%)' : kind === 'progress' ? 'Progress Score' : 'Value', text: kind === 'percentage' ? 'Percentage (%)' : kind === 'progress' ? 'Progress Score' : 'Score',
font: { font: {
size: 12, size: 12,
weight: 'bold', weight: 'bold',
@@ -240,11 +242,23 @@ export function ComparisonChart({ comparisonData, schools, metric, metricLabel,
<div className={styles.canvasBox}> <div className={styles.canvasBox}>
<Line data={chartData} options={options} aria-label={`${metricLabel} comparison chart`} /> <Line data={chartData} options={options} aria-label={`${metricLabel} comparison chart`} />
</div> </div>
{built.showUnpublished202122Note && ( {isSecondary && built.englandOnlyYears.length > 0 ? (
// KS4's honest story differs from KS2's: 2019/202020/21 school-level
// GCSE results weren't published (COVID grading); later years WERE
// published by DfE but aren't in our dataset yet.
<p className={styles.chartNote}> <p className={styles.chartNote}>
No national tests were held in 2019/20 and 2020/21 (COVID), and DfE didn&apos;t publish School-level GCSE figures for 2019/20 and 2020/21 weren&apos;t published (COVID
school-level figures for 2021/22 the England average is shown for that year. grading), and more recent years aren&apos;t in our dataset yet where lines break the
England average is shown where available.
</p> </p>
) : (
!isSecondary &&
built.showUnpublished202122Note && (
<p className={styles.chartNote}>
No national tests were held in 2019/20 and 2020/21 (COVID), and DfE didn&apos;t publish
school-level figures for 2021/22 the England average is shown for that year.
</p>
)
)} )}
</div> </div>
); );
@@ -148,6 +148,54 @@
text-overflow: ellipsis; text-overflow: ellipsis;
} }
/* Caption filling the label rail on desktop ("Comparing / 3 primary
schools"). Hidden on mobile, where the bar is a row of compact pills. */
.barCaption {
display: none;
}
/* Desktop (matches the sections' 761px breakpoint): the bar adopts the same
grid template as compareSections' .grid — a 200px row-label rail plus one
column per school — so each chip sits exactly over the column it labels.
The caption occupies the rail; chips flow into the school columns. */
@media (min-width: 761px) {
.schoolBar {
display: grid;
grid-template-columns: 200px repeat(var(--school-count, 3), 1fr);
gap: 0 0.75rem;
overflow-x: visible;
}
.schoolChip {
min-width: 0;
}
.barCaption {
grid-column: 1;
display: flex;
flex-direction: column;
justify-content: center;
gap: 0.1rem;
padding-right: 0.5rem;
min-width: 0;
}
.barCaptionEyebrow {
font-size: 0.72rem;
font-weight: 600;
letter-spacing: 0.06em;
text-transform: uppercase;
color: var(--text-muted, #6d685f);
}
.barCaptionCount {
font-size: 0.95rem;
font-weight: 600;
line-height: 1.3;
color: var(--text-primary, #1a1612);
}
}
.chipRemove { .chipRemove {
margin-left: auto; margin-left: auto;
border: none; border: none;
+56 -7
View File
@@ -9,7 +9,7 @@
'use client'; 'use client';
import { useEffect, useRef, useState } from 'react'; import { useEffect, useRef, useState, type CSSProperties } from 'react';
import { useRouter, usePathname, useSearchParams } from 'next/navigation'; import { useRouter, usePathname, useSearchParams } from 'next/navigation';
import { useComparison } from '@/hooks/useComparison'; import { useComparison } from '@/hooks/useComparison';
@@ -85,7 +85,9 @@ export function ComparisonView({
replaceSchools(urlSchools); replaceSchools(urlSchools);
} }
} }
}, [isInitialized]); // eslint-disable-line react-hooks/exhaustive-deps // Re-seed when a client-side navigation lands on a different ?urns= set
// (initialUrns/initialData are new props on the same component instance).
}, [isInitialized, initialUrns.join(',')]); // eslint-disable-line react-hooks/exhaustive-deps
const urnKey = selectedSchools.map((s) => s.urn).join(','); const urnKey = selectedSchools.map((s) => s.urn).join(',');
@@ -128,8 +130,18 @@ export function ComparisonView({
const covered = urnKey.split(',').every((urn) => have[urn] != null); const covered = urnKey.split(',').every((urn) => have[urn] != null);
if (covered) return; if (covered) return;
// Guard against out-of-order responses: while the basket hydrates from
// localStorage it can transiently hold a DIFFERENT school set than the
// URL, firing a fetch for schools the user is no longer comparing. That
// stale response must not replace data for the current set — it blanked
// every section until a hard refresh. Cleanup marks the run cancelled
// when urnKey moves on, so only the current selection's response is
// applied (replacing the map keeps it bounded and guarantees a re-added
// school is refetched fresh rather than served a lingering old entry).
let cancelled = false;
fetchComparison(urnKey, { cache: 'no-store' }) fetchComparison(urnKey, { cache: 'no-store' })
.then((data) => { .then((data) => {
if (cancelled) return;
setComparisonData(data.comparison); setComparisonData(data.comparison);
setNationalAverages(data.national_averages); setNationalAverages(data.national_averages);
setBenchmarks(data.benchmarks); setBenchmarks(data.benchmarks);
@@ -140,6 +152,9 @@ export function ComparisonView({
// destroy a working comparison the user is looking at. // destroy a working comparison the user is looking at.
console.error('Failed to fetch comparison:', err); console.error('Failed to fetch comparison:', err);
}); });
return () => {
cancelled = true;
};
}, [urnKey, isInitialized]); }, [urnKey, isInitialized]);
const primarySchools = selectedSchools.filter((school) => { const primarySchools = selectedSchools.filter((school) => {
@@ -173,7 +188,11 @@ export function ComparisonView({
if (!metricFitsPhase) { if (!metricFitsPhase) {
setSelectedMetric(newPhase === 'secondary' ? 'attainment_8_score' : 'rwm_expected_pct'); setSelectedMetric(newPhase === 'secondary' ? 'attainment_8_score' : 'rwm_expected_pct');
} }
}, [comparisonData]); // eslint-disable-line react-hooks/exhaustive-deps // selectedSchools is a dep because the basket hydrates after mount: the
// first run sees an empty basket and bails, so it must re-fire when the
// schools arrive. primarySchools/secondarySchools/metrics/selectedMetric
// are intentionally omitted (derived or would cause loops).
}, [comparisonData, selectedSchools]); // eslint-disable-line react-hooks/exhaustive-deps
const handlePhaseChange = (phase: 'primary' | 'secondary') => { const handlePhaseChange = (phase: 'primary' | 'secondary') => {
phaseLockedByUser.current = true; phaseLockedByUser.current = true;
@@ -338,8 +357,28 @@ export function ComparisonView({
/> />
) : ( ) : (
<> <>
{/* Sticky school bar — column identity while scrolling */} {/* Sticky school bar — column identity while scrolling. On desktop
<div className={styles.schoolBar} aria-label="Schools in this comparison"> it shares the sections' grid template (via --school-count) so
each chip sits exactly over the column it labels. */}
<div
className={styles.schoolBar}
style={{ '--school-count': activeSchools.length } as CSSProperties}
aria-label="Schools in this comparison"
>
{/* Fills the 200px label rail on desktop (hidden on mobile).
All-through schools must not be miscounted as "primary
schools"/"secondary schools" — mixed baskets get "· primary
view" phrasing instead. */}
<div className={styles.barCaption}>
<span className={styles.barCaptionEyebrow}>Comparing</span>
<span className={styles.barCaptionCount}>
{activeSchools.every((sch) =>
sch.phase?.toLowerCase().includes(comparePhase),
)
? `${activeSchools.length} ${comparePhase} school${activeSchools.length === 1 ? '' : 's'}`
: `${activeSchools.length} schools · ${comparePhase} view`}
</span>
</div>
{activeSchools.map((school, index) => ( {activeSchools.map((school, index) => (
<div <div
key={school.urn} key={school.urn}
@@ -357,7 +396,13 @@ export function ComparisonView({
<span className={styles.chipNameShort}>{shortName(school.school_name)}</span> <span className={styles.chipNameShort}>{shortName(school.school_name)}</span>
</a> </a>
<span className={styles.chipMeta}> <span className={styles.chipMeta}>
{[school.local_authority, school.school_type].filter(Boolean).join(' · ')} {[
/all.?through/i.test(school.phase ?? '') ? 'All-through' : null,
school.local_authority,
school.school_type,
]
.filter(Boolean)
.join(' · ')}
</span> </span>
</span> </span>
<button <button
@@ -389,7 +434,11 @@ export function ComparisonView({
benchmarks={benchmarks} benchmarks={benchmarks}
isSecondary={!isPrimary} isSecondary={!isPrimary}
/> />
<CompareAdmissions schools={activeSchools} data={activeComparisonData} /> <CompareAdmissions
schools={activeSchools}
data={activeComparisonData}
isSecondary={!isPrimary}
/>
<CompareCommunity <CompareCommunity
schools={activeSchools} schools={activeSchools}
data={activeComparisonData} data={activeComparisonData}
+7 -1
View File
@@ -123,7 +123,13 @@
.modal { .modal {
width: 100%; width: 100%;
max-width: 100%; max-width: 100%;
max-height: 95vh; /* Bottom sheet sized against the overlay (which tracks the visual
viewport), NOT vh: when the keyboard is open the overlay is short, so
max-height:100% keeps the whole sheet — input and results — above the
keyboard. min-height gives a comfortable default without a tiny stub,
but is capped at 100% so it never exceeds the visible area. */
min-height: min(55vh, 100%);
max-height: 100%;
border-bottom-left-radius: 0; border-bottom-left-radius: 0;
border-bottom-right-radius: 0; border-bottom-right-radius: 0;
animation: slideUp 0.3s ease; animation: slideUp 0.3s ease;
+30 -2
View File
@@ -5,7 +5,7 @@
'use client'; 'use client';
import { useEffect, useCallback } from 'react'; import { useEffect, useCallback, useRef } from 'react';
import { createPortal } from 'react-dom'; import { createPortal } from 'react-dom';
import styles from './Modal.module.css'; import styles from './Modal.module.css';
@@ -18,6 +18,8 @@ interface ModalProps {
} }
export function Modal({ isOpen, onClose, children, title, size = 'medium' }: ModalProps) { export function Modal({ isOpen, onClose, children, title, size = 'medium' }: ModalProps) {
const overlayRef = useRef<HTMLDivElement>(null);
const handleEscape = useCallback((e: KeyboardEvent) => { const handleEscape = useCallback((e: KeyboardEvent) => {
if (e.key === 'Escape') { if (e.key === 'Escape') {
onClose(); onClose();
@@ -39,6 +41,32 @@ export function Modal({ isOpen, onClose, children, title, size = 'medium' }: Mod
}; };
}, [isOpen, handleEscape]); }, [isOpen, handleEscape]);
// Pin the overlay to the VISUAL viewport, not the layout viewport. On mobile
// the on-screen keyboard shrinks the visual viewport but not the layout one,
// so a `position: fixed; inset: 0` overlay keeps full height — leaving the
// bottom-anchored sheet (and the dim backdrop's lower half) hidden behind
// the keyboard. Tracking visualViewport.height/offsetTop keeps the whole
// overlay — backdrop and sheet — inside the visible area, above the keyboard.
useEffect(() => {
if (!isOpen) return;
const vv = typeof window !== 'undefined' ? window.visualViewport : null;
const el = overlayRef.current;
if (!vv || !el) return;
const sync = () => {
el.style.top = `${vv.offsetTop}px`;
el.style.height = `${vv.height}px`;
el.style.bottom = 'auto';
};
sync();
vv.addEventListener('resize', sync);
vv.addEventListener('scroll', sync);
return () => {
vv.removeEventListener('resize', sync);
vv.removeEventListener('scroll', sync);
};
}, [isOpen]);
if (!isOpen || typeof window === 'undefined') return null; if (!isOpen || typeof window === 'undefined') return null;
const handleOverlayClick = (e: React.MouseEvent) => { const handleOverlayClick = (e: React.MouseEvent) => {
@@ -48,7 +76,7 @@ export function Modal({ isOpen, onClose, children, title, size = 'medium' }: Mod
}; };
return createPortal( return createPortal(
<div className={styles.overlay} onClick={handleOverlayClick}> <div ref={overlayRef} className={styles.overlay} onClick={handleOverlayClick}>
<div className={`${styles.modal} ${styles[size]}`}> <div className={`${styles.modal} ${styles[size]}`}>
<div className={styles.header}> <div className={styles.header}>
{title && <h2 className={styles.title}>{title}</h2>} {title && <h2 className={styles.title}>{title}</h2>}
@@ -2,14 +2,6 @@
padding: 1.5rem; padding: 1.5rem;
} }
.title {
font-size: 1.5rem;
font-weight: 700;
color: var(--text-primary, #1a1612);
margin-bottom: 1.5rem;
font-family: var(--font-playfair), 'Playfair Display', serif;
}
.warning { .warning {
background: var(--accent-gold-bg); background: var(--accent-gold-bg);
border: 1px solid var(--accent-gold, #c9a227); border: 1px solid var(--accent-gold, #c9a227);
@@ -119,12 +111,16 @@
font-size: 1rem; font-size: 1rem;
font-weight: 600; font-weight: 600;
color: var(--text-primary, #1a1612); color: var(--text-primary, #1a1612);
margin-bottom: 0.5rem; margin-bottom: 0.25rem;
white-space: nowrap; white-space: nowrap;
overflow: hidden; overflow: hidden;
text-overflow: ellipsis; text-overflow: ellipsis;
} }
.resultButton {
flex: 0 0 auto;
}
.schoolMeta { .schoolMeta {
display: flex; display: flex;
gap: 1rem; gap: 1rem;
@@ -159,21 +155,30 @@
padding: 1rem; padding: 1rem;
} }
.title { /* One scroll container on mobile: the modal content itself scrolls, so the
font-size: 1.25rem; results list must not add its own inner scroll (double scrollbars, and
the input would be trapped above a short 400px window when the keyboard
shrinks the sheet). */
.results {
max-height: none;
overflow: visible;
} }
/* Compact stacked card: name + meta, then a full-width action so the tap
target is obvious and the card doesn't waste vertical space. */
.resultItem { .resultItem {
flex-direction: column; flex-direction: column;
align-items: stretch; align-items: stretch;
gap: 0.625rem;
padding: 0.875rem;
} }
.addButton { .resultButton {
width: 100%; width: 100%;
} }
.schoolMeta { .schoolMeta {
flex-direction: column; flex-wrap: wrap;
gap: 0.25rem; gap: 0.25rem 1rem;
} }
} }
+3 -5
View File
@@ -81,10 +81,8 @@ export function SchoolSearchModal({ isOpen, onClose }: SchoolSearchModalProps) {
}; };
return ( return (
<Modal isOpen={isOpen} onClose={handleClose}> <Modal isOpen={isOpen} onClose={handleClose} title="Add School to Comparison">
<div className={styles.modalContent}> <div className={styles.modalContent}>
<h2 className={styles.title}>Add School to Comparison</h2>
{!canAddMore && ( {!canAddMore && (
<div className={styles.warning}> <div className={styles.warning}>
Maximum 5 schools can be compared. Remove a school to add another. Maximum 5 schools can be compared. Remove a school to add another.
@@ -129,9 +127,9 @@ export function SchoolSearchModal({ isOpen, onClose }: SchoolSearchModalProps) {
<button <button
onClick={() => handleAddSchool(school)} onClick={() => handleAddSchool(school)}
disabled={alreadySelected || !canAddMore} disabled={alreadySelected || !canAddMore}
className={ className={`${styles.resultButton} ${
alreadySelected ? "btn btn-active" : "btn btn-secondary" alreadySelected ? "btn btn-active" : "btn btn-secondary"
} }`}
> >
{alreadySelected ? "✓ Comparing" : "+ Compare"} {alreadySelected ? "✓ Comparing" : "+ Compare"}
</button> </button>
@@ -148,6 +148,17 @@ export function CompareAcademics({
} }
return null; return null;
}); });
// DfE stopped publishing Progress 8 from 2024/25: those GCSE year groups
// sat no KS2 tests (COVID), so there is no baseline to measure progress
// from. A bare "No data" reads as a gap on our side — say why. Judged
// PER SCHOOL on its own latest data year: a school whose data simply
// stops earlier (an unrelated gap) must not borrow the COVID explanation
// from a neighbour that does have 2024/25 data.
const p8NotPublished = urns.map((urn) => {
const rows = data[String(urn)]?.yearly_data ?? [];
const y = rows.length ? Math.trunc(rows[rows.length - 1].year) : 0;
return y >= 202425;
});
const grade5 = latestValues(data, urns, 'english_maths_strong_pass_pct'); const grade5 = latestValues(data, urns, 'english_maths_strong_pass_pct');
const ebacc = latestValues(data, urns, 'ebacc_entry_pct'); const ebacc = latestValues(data, urns, 'ebacc_entry_pct');
const att8Anchor = nationalAverages?.secondary?.attainment_8_score; const att8Anchor = nationalAverages?.secondary?.attainment_8_score;
@@ -189,6 +200,11 @@ export function CompareAcademics({
> >
{banding[i]} {banding[i]}
</Chip> </Chip>
) : p8NotPublished[i] ? (
<span className={s.small}>
Not published this GCSE year group sat no KS2 tests (COVID), so DfE has no
baseline to measure progress from
</span>
) : ( ) : (
<span className={s.small}>No data</span> <span className={s.small}>No data</span>
)} )}
@@ -218,6 +234,24 @@ export function CompareAcademics({
const national = nationalAverages?.primary; const national = nationalAverages?.primary;
const disadvantaged = latestValues(data, urns, 'rwm_expected_disadvantaged_pct'); const disadvantaged = latestValues(data, urns, 'rwm_expected_disadvantaged_pct');
const disadvantagedAnchor = benchmarks?.primary?.disadvantaged_rwm_expected_pct ?? null; const disadvantagedAnchor = benchmarks?.primary?.disadvantaged_rwm_expected_pct ?? null;
// Cohort size behind the disadvantaged figure (spec §8.5): these are small
// groups where single pupils move the percentage — show roughly how many
// pupils the figure rests on. Taken from the SAME yearly row that supplies
// the displayed percentage: resolving eligible_pupils and the
// disadvantaged share independently could mix years and misstate the
// cohort behind the figure.
const cohorts = urns.map((urn) => {
const rows = data[String(urn)]?.yearly_data ?? [];
for (let i = rows.length - 1; i >= 0; i--) {
const row = rows[i];
if (row.rwm_expected_disadvantaged_pct != null) {
if (row.eligible_pupils == null || row.disadvantaged_pct == null) return null;
const cohort = Math.round((row.eligible_pupils * row.disadvantaged_pct) / 100);
return cohort > 0 ? cohort : null;
}
}
return null;
});
return ( return (
<Section <Section
@@ -270,6 +304,9 @@ export function CompareAcademics({
<span className={s.big} style={{ fontSize: '1.1rem' }}> <span className={s.big} style={{ fontSize: '1.1rem' }}>
{Math.round(value)}% {Math.round(value)}%
</span>{' '} </span>{' '}
{cohorts[i] != null && (
<span className={s.small}>of ~{cohorts[i]} disadvantaged pupils</span>
)}{' '}
{disadvantagedAnchor != null && ( {disadvantagedAnchor != null && (
<Chip tone={verdict(value, disadvantagedAnchor, 5) === 'below' ? 'warn' : 'good'}> <Chip tone={verdict(value, disadvantagedAnchor, 5) === 'below' ? 'warn' : 'good'}>
{verdict(value, disadvantagedAnchor, 5) === 'above' && {verdict(value, disadvantagedAnchor, 5) === 'above' &&
@@ -7,7 +7,7 @@
'use client'; 'use client';
import { summariseAdmissions } from '@/lib/compareLogic'; import { admissionsForPhase, summariseAdmissions } from '@/lib/compareLogic';
import type { ComparisonData, School } from '@/lib/types'; import type { ComparisonData, School } from '@/lib/types';
import { CHART_COLORS } from '@/lib/utils'; import { CHART_COLORS } from '@/lib/utils';
import { Cell, Chip, Measure, Section, SectionGrid, sectionStyles as s } from './sectionShared'; import { Cell, Chip, Measure, Section, SectionGrid, sectionStyles as s } from './sectionShared';
@@ -15,11 +15,17 @@ import { Cell, Chip, Measure, Section, SectionGrid, sectionStyles as s } from '.
export function CompareAdmissions({ export function CompareAdmissions({
schools, schools,
data, data,
isSecondary = false,
}: { }: {
schools: School[]; schools: School[];
data: Record<string, ComparisonData>; data: Record<string, ComparisonData>;
isSecondary?: boolean;
}) { }) {
const rows = schools.map((school) => data[String(school.urn)]?.admissions ?? null); // Admissions rounds are phase-specific: an all-through school's Year 7
// round must never stand in for Reception on the primary tab (and vice
// versa) — beside pure primaries it reads as Reception odds.
const rows = schools.map((school) => admissionsForPhase(data[String(school.urn)], isSecondary));
const roundLabel = isSecondary ? 'Year 7' : 'Reception';
const anyData = rows.some(Boolean); const anyData = rows.some(Boolean);
const entryYear = rows.find(Boolean)?.year; const entryYear = rows.find(Boolean)?.year;
const entryLabel = entryYear const entryLabel = entryYear
@@ -28,7 +34,10 @@ export function CompareAdmissions({
if (!anyData) { if (!anyData) {
return ( return (
<Section title="Getting a place" how="No admissions data is available for these schools yet."> <Section
title="Getting a place"
how={`No ${roundLabel} admissions data is available for these schools yet.`}
>
<></> <></>
</Section> </Section>
); );
@@ -63,7 +72,9 @@ export function CompareAdmissions({
<strong>{a.places_offered.toLocaleString('en-GB')}</strong> places <strong>{a.places_offered.toLocaleString('en-GB')}</strong> places
</> </>
) : ( ) : (
<span className={s.small}>No data</span> <span className={s.small}>
We don&apos;t hold {roundLabel} admissions data for this school
</span>
)} )}
</Cell> </Cell>
); );
@@ -104,15 +115,28 @@ export function CompareAdmissions({
{schools.map((school, i) => { {schools.map((school, i) => {
const a = rows[i]; const a = rows[i];
const summary = summariseAdmissions(a); const summary = summariseAdmissions(a);
const info = data[String(school.urn)]?.school_info;
const selective = (info?.admissions_policy ?? '').toLowerCase() === 'selective';
const faith =
!!info?.religious_denomination &&
!/^(none|does not apply|not applicable)$/i.test(info.religious_denomination);
let text: string | null = null; let text: string | null = null;
if (summary.firstPrefPct != null) { if (summary.firstPrefPct != null) {
if (summary.firstPrefPct >= 100) { if (selective) {
// Selective schools: the entrance test decides, whatever the
// offer percentage looks like — never the distance template.
text =
'Entry is by entrance test — the school is selective; distance and preference rank dont decide places.';
} else if (summary.firstPrefPct >= 100) {
text = `Every family who put ${school.school_name} first got a place.`; text = `Every family who put ${school.school_name} first got a place.`;
} else if (summary.firstPrefPct >= 90) { } else if (summary.firstPrefPct >= 90) {
text = `Nearly every family who put ${school.school_name} first got a place.`; text = `Nearly every family who put ${school.school_name} first got a place.`;
} else if (a?.oversubscribed) { } else if (a?.oversubscribed) {
text = text = isSecondary
'More first-choice applications than places — check the schools admission criteria (for most non-faith primaries, distance decides).'; ? faith
? 'More first-choice applications than places — check the schools admission criteria (faith-based criteria may apply).'
: 'More first-choice applications than places — check the schools admission criteria (catchment or distance often decides, but criteria vary).'
: 'More first-choice applications than places — check the schools admission criteria (for most non-faith primaries, distance decides).';
} else { } else {
text = `${summary.firstPrefPct}% of first-choice families received an offer.`; text = `${summary.firstPrefPct}% of first-choice families received an offer.`;
} }
@@ -8,6 +8,7 @@
'use client'; 'use client';
import { import {
admissionsForPhase,
latestValues, latestValues,
ofstedDisplay, ofstedDisplay,
summariseAdmissions, summariseAdmissions,
@@ -145,7 +146,11 @@ export function CompareAtAGlance({
<Measure label="Getting a place"> <Measure label="Getting a place">
{schools.map((school, i) => { {schools.map((school, i) => {
const summary = summariseAdmissions(data[String(school.urn)]?.admissions); // Phase-matched round only — an all-through school's Year 7 round
// must not masquerade as Reception odds on the primary tab.
const summary = summariseAdmissions(
admissionsForPhase(data[String(school.urn)], isSecondary),
);
return ( return (
<Cell key={school.urn} school={school} index={i}> <Cell key={school.urn} school={school} index={i}>
{summary.chip ? ( {summary.chip ? (
@@ -165,8 +170,14 @@ export function CompareAtAGlance({
{schools.map((school, i) => { {schools.map((school, i) => {
const census = data[String(school.urn)]?.census; const census = data[String(school.urn)]?.census;
const pupils = census?.total_pupils ?? school.total_pupils ?? null; const pupils = census?.total_pupils ?? school.total_pupils ?? null;
// An all-through school's roll covers every age group, so judging
// it against the single-phase median ("Much larger than average")
// is meaningless — label the roll honestly instead.
const isAllThrough = /all.?through/i.test(school.phase ?? '');
let sizeNote: string | null = null; let sizeNote: string | null = null;
if (pupils != null && medianPupils != null) { if (isAllThrough) {
sizeNote = 'Whole-school roll (all-through, all ages)';
} else if (pupils != null && medianPupils != null) {
if (pupils >= medianPupils * 1.5) sizeNote = 'Much larger than average'; if (pupils >= medianPupils * 1.5) sizeNote = 'Much larger than average';
else if (pupils >= medianPupils * 1.1) sizeNote = 'Larger than average'; else if (pupils >= medianPupils * 1.1) sizeNote = 'Larger than average';
else if (pupils <= medianPupils * 0.66) sizeNote = 'Much smaller than average'; else if (pupils <= medianPupils * 0.66) sizeNote = 'Much smaller than average';
@@ -33,7 +33,10 @@ export function CompareCommunity({
const bench = isSecondary ? benchmarks?.secondary : benchmarks?.primary; const bench = isSecondary ? benchmarks?.secondary : benchmarks?.primary;
const fsmChip = (value: number | null) => { const fsmChip = (value: number | null) => {
const anchor = bench?.fsm_pct ?? bench?.disadvantaged_pct ?? null; // FSM is anchored only against a real FSM benchmark (census-sourced,
// pupil-weighted). disadvantaged_pct is a different measure (FSM6+CLA)
// — never fall back across definitions; no anchor means no chip.
const anchor = bench?.fsm_pct ?? null;
if (value == null || anchor == null) return null; if (value == null || anchor == null) return null;
const v = verdict(value, anchor, 3); const v = verdict(value, anchor, 3);
return ( return (
@@ -45,10 +48,25 @@ export function CompareCommunity({
); );
}; };
const anyAllThrough = schools.some((school) => /all.?through/i.test(school.phase ?? ''));
return ( return (
<Section <Section
title="Who goes there" title="Who goes there"
how="The school's community, from the latest school census. State-school averages are computed from our dataset and shown for context — there's no “right” number here." how={
<>
The school&apos;s community, from the latest school census. State-school averages are
computed from our dataset and shown for context there&apos;s no &ldquo;right&rdquo;
number here.
{anyAllThrough && (
<>
{' '}
For all-through schools these figures cover the whole school, all ages not just
the {isSecondary ? 'secondary' : 'primary'} phase.
</>
)}
</>
}
> >
<SectionGrid schools={schools}> <SectionGrid schools={schools}>
<Measure label="Pupils on roll"> <Measure label="Pupils on roll">
@@ -108,14 +108,21 @@ function JudgementDetailCell({
); );
} }
const legacyAreas: Array<[string, number | null]> = [ const legacyAreas: Array<[string, number | null | undefined]> = [
['Quality of education', ofsted.quality_of_education], ['Quality of education', ofsted.quality_of_education],
['Behaviour & attitudes', ofsted.behaviour_attitudes], ['Behaviour & attitudes', ofsted.behaviour_attitudes],
['Personal development', ofsted.personal_development], ['Personal development', ofsted.personal_development],
['Leadership & management', ofsted.leadership_management], ['Leadership & management', ofsted.leadership_management],
['Early years provision', ofsted.early_years_provision], ['Early years provision', ofsted.early_years_provision],
['Sixth form provision', ofsted.sixth_form_provision],
]; ];
const published = legacyAreas.filter(([, grade]) => grade != null); // Only real Ofsted grades (14) are judgements. The MI file uses sentinel
// codes for "not applicable / no judgement" (9, and 0/8 variants) — those
// must never render as a rating chip.
const published = legacyAreas.filter(
(entry): entry is [string, number] =>
entry[1] != null && entry[1] >= 1 && entry[1] <= 4,
);
if (published.length === 0) { if (published.length === 0) {
return ( return (
@@ -180,10 +187,18 @@ export function CompareOfsted({
<Measure label="Inspected"> <Measure label="Inspected">
{schools.map((school, i) => { {schools.map((school, i) => {
const ofsted = data[String(school.urn)]?.ofsted; const ofsted = data[String(school.urn)]?.ofsted;
const age = yearsSince(ofsted?.inspection_date ?? null); // A report card is dated by its OWN inspection date. The legacy
// inspection_date belongs to an older inspection and must never
// be shown against a report card (report cards exist only from
// Nov 2025).
const dateIso =
displays[i].kind === 'report_card'
? ofsted?.rc_inspection_date ?? null
: ofsted?.inspection_date ?? null;
const age = yearsSince(dateIso);
return ( return (
<Cell key={school.urn} school={school} index={i}> <Cell key={school.urn} school={school} index={i}>
{formatInspectionDate(ofsted?.inspection_date ?? null)}{' '} {formatInspectionDate(dateIso)}{' '}
{age != null && age > 4 && <Chip tone="neutral">4+ years ago</Chip>} {age != null && age > 4 && <Chip tone="neutral">4+ years ago</Chip>}
</Cell> </Cell>
); );
@@ -60,18 +60,10 @@
margin: 0 0 1rem; margin: 0 0 1rem;
} }
/* ComparisonChart runs Chart.js with maintainAspectRatio:false, so it fills /* ComparisonChart owns its own canvas height now (a definite px value per
its container's height — which must be *definite*. A min-height alone does breakpoint), with the mobile chip legend above and the gap note below it
not resolve the chart wrapper's height:100%, leaving Chart.js to fall back flowing at natural size. This box therefore only needs to not constrain
to its ~150px default (a squashed sliver). Give it a real height. */ that height — no fixed height, or the note would again eat the plot. */
.chartBox { .chartBox {
height: 420px; min-height: 0;
}
@media (max-width: 640px) {
/* Taller on mobile: the mobile-only school chips sit above the canvas and
wrap to two rows for 3+ schools, so the plot keeps a usable height. */
.chartBox {
height: 360px;
}
} }
@@ -119,6 +119,7 @@ export function TrendsExplorer({
metric={metric} metric={metric}
metricLabel={metricLabel} metricLabel={metricLabel}
nationalByYear={nationalByYear} nationalByYear={nationalByYear}
isSecondary={!isPrimaryPhase}
/> />
</div> </div>
</div> </div>
+11 -6
View File
@@ -53,6 +53,10 @@ export interface CompareChart {
/** True when England published a 2021/22 figure but no school has one — /** True when England published a 2021/22 figure but no school has one —
* the UI shows: "DfE didn't publish school-level figures for 2021/22". */ * the UI shows: "DfE didn't publish school-level figures for 2021/22". */
showUnpublished202122Note: boolean; showUnpublished202122Note: boolean;
/** Years where the England overlay has a value but no school does — the
* chart shows a dashed-line-only stretch that needs explaining (KS2 and
* KS4 have different honest explanations, so the component owns the copy). */
englandOnlyYears: number[];
} }
export function buildCompareChart( export function buildCompareChart(
@@ -92,11 +96,12 @@ export function buildCompareChart(
} }
} }
const idx202122 = years.indexOf(202122); const englandOnlyYears = years.filter(
const showUnpublished202122Note = (year, i) =>
idx202122 >= 0 && englandDataset?.data[i] != null && schoolDatasets.every((ds) => ds.data[i] == null),
englandDataset?.data[idx202122] != null && );
schoolDatasets.every((ds) => ds.data[idx202122] == null);
return { years, schoolDatasets, englandDataset, showUnpublished202122Note }; const showUnpublished202122Note = englandOnlyYears.includes(202122);
return { years, schoolDatasets, englandDataset, showUnpublished202122Note, englandOnlyYears };
} }
+41
View File
@@ -143,6 +143,41 @@ export interface AdmissionsSummary {
interest: string | null; interest: string | null;
} }
/**
* Pick the admissions round for the ACTIVE phase tab. An all-through school
* can carry only a Year 7 (Secondary) round — rendering that beside pure
* primaries' Reception rounds made 433-forms-for-173-places read as
* Reception odds. Rows matching the target phase win (latest year first);
* rows tagged with the OTHER phase are never substituted. Untagged rows
* (legacy data, no school_phase) are used only when no row carries a phase.
*/
export function admissionsForPhase(
data:
| { admissions?: SchoolAdmissions | null; admissions_history?: SchoolAdmissions[] }
| null
| undefined,
isSecondary: boolean,
): SchoolAdmissions | null {
if (!data) return null;
const rows: SchoolAdmissions[] = [
...(data.admissions_history ?? []),
...(data.admissions ? [data.admissions] : []),
];
if (rows.length === 0) return null;
const target = isSecondary ? 'secondary' : 'primary';
const byYearDesc = (a: SchoolAdmissions, b: SchoolAdmissions) => (b.year ?? 0) - (a.year ?? 0);
const matching = rows
.filter((r) => r.school_phase?.toLowerCase() === target)
.sort(byYearDesc);
if (matching.length > 0) return matching[0];
const tagged = rows.some((r) => r.school_phase != null);
if (!tagged) return [...rows].sort(byYearDesc)[0];
return null;
}
export function summariseAdmissions( export function summariseAdmissions(
a: SchoolAdmissions | null | undefined, a: SchoolAdmissions | null | undefined,
): AdmissionsSummary { ): AdmissionsSummary {
@@ -157,6 +192,12 @@ export function summariseAdmissions(
if (pct != null) { if (pct != null) {
if (pct >= 100) { if (pct >= 100) {
chip = { tone: 'good', text: 'All first choices offered' }; chip = { tone: 'good', text: 'All first choices offered' };
} else if (pct < 50) {
// Banded, not one blanket chip: "Over 1 in 4" on a school where more
// than half missed out understated the worst cases by half.
chip = { tone: 'warn', text: 'More than half of first choices missed out' };
} else if (pct < 67) {
chip = { tone: 'warn', text: 'About 1 in 3 first choices missed out' };
} else if (pct < 75) { } else if (pct < 75) {
chip = { tone: 'warn', text: 'Over 1 in 4 first choices missed out' }; chip = { tone: 'warn', text: 'Over 1 in 4 first choices missed out' };
} else { } else {
+4
View File
@@ -79,12 +79,16 @@ export interface School {
export interface OfstedInspection { export interface OfstedInspection {
framework: 'OEIF' | 'ReportCard' | null; framework: 'OEIF' | 'ReportCard' | null;
inspection_date: string | null; inspection_date: string | null;
/** Start date of the report-card inspection itself (Nov 2025+); null otherwise. */
rc_inspection_date?: string | null;
inspection_type: string | null; inspection_type: string | null;
// OEIF fields (old framework, pre-Nov 2025) // OEIF fields (old framework, pre-Nov 2025)
overall_effectiveness: 1 | 2 | 3 | 4 | null; overall_effectiveness: 1 | 2 | 3 | 4 | null;
quality_of_education: number | null; quality_of_education: number | null;
behaviour_attitudes: number | null; behaviour_attitudes: number | null;
personal_development: number | null; personal_development: number | null;
/** Sixth-form judgement where applicable; sentinel 9 = not applicable. */
sixth_form_provision?: number | null;
leadership_management: number | null; leadership_management: number | null;
early_years_provision: number | null; early_years_provision: number | null;
previous_overall: number | null; previous_overall: number | null;
+1 -1
View File
@@ -180,7 +180,7 @@ with DAG(
dbt_build_ees = BashOperator( dbt_build_ees = BashOperator(
task_id="dbt_build", task_id="dbt_build",
bash_command=f"cd {PIPELINE_DIR}/transform && {DBT_BIN} build --profiles-dir . --target production --select stg_ees_ks2+ stg_legacy_ks2+ stg_ees_ks4+ stg_legacy_ks4+ stg_ees_census+ stg_ees_admissions+ stg_ees_ks2_national+", bash_command=f"cd {PIPELINE_DIR}/transform && {DBT_BIN} build --profiles-dir . --target production --select stg_ees_ks2+ stg_legacy_ks2+ stg_ees_ks4+ stg_legacy_ks4+ stg_ees_census+ stg_ees_admissions+ stg_ees_ks2_national+ stg_ees_ks4_national+",
) )
sync_typesense_ees = BashOperator( sync_typesense_ees = BashOperator(
+3
View File
@@ -49,6 +49,9 @@ plugins:
- name: mi_url - name: mi_url
kind: string kind: string
description: Ofsted Management Information download URL description: Ofsted Management Information download URL
- name: independent_mi_url
kind: string
description: Ofsted Independent Schools Management Information download URL
- name: tap-uk-fbit - name: tap-uk-fbit
namespace: uk_fbit namespace: uk_fbit
@@ -564,6 +564,74 @@ class EESKs2NationalStream(Stream):
yield record yield record
# ── KS4 National Headlines (national level only — one row per year) ──────────
# Dataset: "National characteristics summary data" (Key stage 4 performance).
# Official England state-funded headline measures, 2018/19 → latest.
# Suppressed values ('z', 'x') → NULL downstream. Progress 8 is legitimately
# absent in years with no KS2 baseline (e.g. 2024/25) — that is DfE policy,
# not missing data.
_KS4_NATIONAL_CSV_URL = (
"https://explore-education-statistics.service.gov.uk/data-catalogue/"
"data-set/1b649e16-01e8-435b-a814-56be2faf9054/csv"
)
_KS4_NATIONAL_COL_MAP = {
"attainment8_average": "attainment_8_score",
"progress8_average": "progress_8_score",
"engmath_94_percent": "english_maths_standard_pass_pct",
"engmath_95_percent": "english_maths_strong_pass_pct",
"ebacc_entering_percent": "ebacc_entry_pct",
"ebacc_94_percent": "ebacc_standard_pass_pct",
"ebacc_95_percent": "ebacc_strong_pass_pct",
"ebacc_aps_average": "ebacc_avg_score",
}
class EESKs4NationalStream(Stream):
"""National KS4 headline averages — one row per academic year.
Filters to geographic_level == 'National', establishment_type_group ==
'All state-funded', breakdown_topic == 'Total', breakdown == 'Total'
so only the England-wide all-pupils row per year is emitted.
"""
name = "ees_ks4_national"
primary_keys = ["time_period"]
replication_key = None
schema = th.PropertiesList(
th.Property("time_period", th.StringType, required=True),
*[th.Property(out, th.StringType) for out in _KS4_NATIONAL_COL_MAP.values()],
).to_dict()
def get_records(self, context):
import pandas as pd
self.logger.info("Downloading KS4 national headlines: %s", _KS4_NATIONAL_CSV_URL)
resp = requests.get(_KS4_NATIONAL_CSV_URL, timeout=60)
resp.raise_for_status()
df = pd.read_csv(io.BytesIO(resp.content), dtype=str, keep_default_na=False)
df.columns = [c.strip().lower() for c in df.columns]
for col, want in [
("geographic_level", "national"),
("establishment_type_group", "all state-funded"),
("breakdown_topic", "total"),
("breakdown", "total"),
]:
if col in df.columns:
df = df[df[col].str.strip().str.lower() == want]
self.logger.info("Emitting %d national KS4 rows", len(df))
for _, row in df.iterrows():
record = {"time_period": row.get("time_period", "").strip()}
for csv_col, field in _KS4_NATIONAL_COL_MAP.items():
record[field] = row.get(csv_col, "").strip()
yield record
# ── Legacy KS2 (pre-COVID wide format from DfE performance tables) ──────────── # ── Legacy KS2 (pre-COVID wide format from DfE performance tables) ────────────
# The DfE "Compare School Performance" site published school-level KS2 CSVs # The DfE "Compare School Performance" site published school-level KS2 CSVs
# in a wide format (one row per school, ~300 columns). EES only has school-level # in a wide format (one row per school, ~300 columns). EES only has school-level
@@ -903,6 +971,7 @@ class TapUKEES(Tap):
LegacyKS2Stream(self), LegacyKS2Stream(self),
LegacyKS4Stream(self), LegacyKS4Stream(self),
EESKs2NationalStream(self), EESKs2NationalStream(self),
EESKs4NationalStream(self),
] ]
@@ -2,6 +2,7 @@
from __future__ import annotations from __future__ import annotations
from datetime import datetime
import io import io
import re import re
@@ -14,20 +15,28 @@ GOV_UK_PAGE = (
"monthly-management-information-ofsteds-school-inspections-outcomes" "monthly-management-information-ofsteds-school-inspections-outcomes"
) )
INDEPENDENT_GOV_UK_PAGE = (
"https://www.gov.uk/government/statistical-data-sets/"
"non-association-independent-schools-inspections-and-outcomes-management-information"
)
# Column name → internal field, in priority order (first match wins). # Column name → internal field, in priority order (first match wins).
# Handles both current and older file formats. # Handles both current and older file formats.
COLUMN_PRIORITY = { COLUMN_PRIORITY = {
"urn": ["URN", "Urn", "urn"], "urn": ["URN", "Urn", "urn"],
"inspection_date": [ "inspection_date": [
"Inspection start date of latest OEIF graded inspection", "Inspection start date of latest OEIF graded inspection",
"Inspection start date of latest OEIF standard inspection",
"Inspection start date", "Inspection start date",
"Inspection date", "Inspection date",
], ],
"inspection_type": [ "inspection_type": [
"Inspection type of latest OEIF graded inspection", "Inspection type of latest OEIF graded inspection",
"Inspection type of latest OEIF standard inspection",
"Inspection type", "Inspection type",
], ],
"event_type_grouping": [ "event_type_grouping": [
"Event type grouping of latest OEIF standard inspection",
"Event type grouping", "Event type grouping",
"Inspection type grouping", "Inspection type grouping",
], ],
@@ -52,10 +61,12 @@ COLUMN_PRIORITY = {
"Effectiveness of leadership and management", "Effectiveness of leadership and management",
], ],
"early_years_provision": [ "early_years_provision": [
"Latest OEIF early years provision (where applicable)",
"Latest OEIF early years provision", "Latest OEIF early years provision",
"Early years provision (where applicable)", "Early years provision (where applicable)",
], ],
"sixth_form_provision": [ "sixth_form_provision": [
"Latest OEIF sixth form provision (where applicable)",
"Latest OEIF sixth form provision", "Latest OEIF sixth form provision",
"Sixth form provision (where applicable)", "Sixth form provision (where applicable)",
], ],
@@ -68,12 +79,7 @@ COLUMN_PRIORITY = {
"ungraded_inspection_date": [ "ungraded_inspection_date": [
"Date of latest ungraded inspection", "Date of latest ungraded inspection",
], ],
# Report Card fields (post-Nov 2025 framework). Confirmed verbatim MI # Report Card fields (post-Nov 2025 framework).
# headers per diagnose_compare_gaps.py's Task 1(c) findings. No MI column
# currently exists for early-years or sixth-form report-card grades, so
# those two fields are deliberately omitted here (see schema below) --
# they stay absent from every record, same as the existing `report_url`
# pattern for fields with no COLUMN_PRIORITY entry.
"rc_safeguarding_met": ["Safeguarding standards"], "rc_safeguarding_met": ["Safeguarding standards"],
"rc_inclusion": ["Inclusion"], "rc_inclusion": ["Inclusion"],
"rc_curriculum_teaching": ["Curriculum and teaching"], "rc_curriculum_teaching": ["Curriculum and teaching"],
@@ -81,20 +87,59 @@ COLUMN_PRIORITY = {
"rc_attendance_behaviour": ["Attendance and behaviour"], "rc_attendance_behaviour": ["Attendance and behaviour"],
"rc_personal_development": ["Personal development and wellbeing"], "rc_personal_development": ["Personal development and wellbeing"],
"rc_leadership_governance": ["Leadership and governance"], "rc_leadership_governance": ["Leadership and governance"],
"rc_early_years": ["Early years (where applicable)"],
"rc_sixth_form": ["Post-16 provision (where applicable)"],
# Date of the latest FULL inspection — in the renewed framework this is
# the report-card inspection's own start date (col "Inspection start
# date"), distinct from the legacy OEIF graded/ungraded dates above.
"rc_inspection_date": ["Inspection start date"],
"report_url": [
"Web Link (opens in new window)",
"Web link to Ofsted provider page",
"Web link",
],
} }
def discover_csv_url() -> str | None: def discover_csv_url() -> str | None:
"""Scrape GOV.UK page to find the latest MI CSV download link.""" """Scrape GOV.UK page to find the latest MI CSV download link.
The page lists a decade of monthly files, oldest first — take the
newest 'latest inspections as at <date>' link by parsing its date,
never matches[0] (that is a 2017 file).
"""
resp = requests.get(GOV_UK_PAGE, timeout=30) resp = requests.get(GOV_UK_PAGE, timeout=30)
resp.raise_for_status() resp.raise_for_status()
# Look for CSV attachment links csv_links = re.findall(
matches = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.csv)"', r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.csv)"',
resp.text, resp.text,
) )
if matches:
return matches[0] months = {
'january': 1, 'february': 2, 'march': 3, 'april': 4, 'may': 5, 'june': 6,
'july': 7, 'august': 8, 'september': 9, 'october': 10, 'november': 11, 'december': 12,
'jan': 1, 'feb': 2, 'mar': 3, 'apr': 4, 'jun': 6,
'jul': 7, 'aug': 8, 'sep': 9, 'oct': 10, 'nov': 11, 'dec': 12,
}
parsed_links = []
for link in csv_links:
normalized = link.lower().replace('-', '_')
if 'latest_inspections_as_at' not in normalized:
continue
match = re.search(r'as_at_(\d{1,2})_([a-z]+)_(\d{4})', normalized)
if match:
day, month_str, year = match.groups()
month = months.get(month_str)
if month:
try:
parsed_links.append((datetime(int(year), month, int(day)), link))
except ValueError:
continue
parsed_links.sort(reverse=True)
if parsed_links:
return parsed_links[0][1]
if csv_links:
return csv_links[-1]
# Fall back to ODS # Fall back to ODS
matches = re.findall( matches = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.ods)"', r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.ods)"',
@@ -103,6 +148,51 @@ def discover_csv_url() -> str | None:
return matches[0] if matches else None return matches[0] if matches else None
def discover_independent_csv_url() -> str | None:
"""Scrape GOV.UK page to find the latest independent schools MI CSV download link."""
resp = requests.get(INDEPENDENT_GOV_UK_PAGE, timeout=30)
resp.raise_for_status()
# Look for CSV attachment links
csv_links = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.csv)"',
resp.text,
)
if not csv_links:
# Fall back to ODS
csv_links = re.findall(
r'href="(https://assets\.publishing\.service\.gov\.uk/[^"]+\.ods)"',
resp.text,
)
months = {
'january': 1, 'february': 2, 'march': 3, 'april': 4, 'may': 5, 'june': 6,
'july': 7, 'august': 8, 'september': 9, 'october': 10, 'november': 11, 'december': 12
}
parsed_links = []
for link in csv_links:
normalized_link = link.lower().replace('-', '_')
if 'most_recent' not in normalized_link:
continue
match = re.search(r'as_at_(\d{1,2})_([a-z]+)_(\d{4})', normalized_link)
if match:
day, month_str, year = match.groups()
month = months.get(month_str)
if month:
try:
dt = datetime(int(year), month, int(day))
parsed_links.append((dt, link))
except ValueError:
continue
parsed_links.sort(reverse=True)
if parsed_links:
return parsed_links[0][1]
return csv_links[0] if csv_links else None
class OfstedInspectionsStream(Stream): class OfstedInspectionsStream(Stream):
"""Stream: Ofsted inspection records.""" """Stream: Ofsted inspection records."""
@@ -131,10 +221,9 @@ class OfstedInspectionsStream(Stream):
th.Property("rc_attendance_behaviour", th.StringType), th.Property("rc_attendance_behaviour", th.StringType),
th.Property("rc_personal_development", th.StringType), th.Property("rc_personal_development", th.StringType),
th.Property("rc_leadership_governance", th.StringType), th.Property("rc_leadership_governance", th.StringType),
# No MI column exists for these yet; declared for forward
# compatibility with the mart schema, always emitted as absent/NULL.
th.Property("rc_early_years", th.StringType), th.Property("rc_early_years", th.StringType),
th.Property("rc_sixth_form", th.StringType), th.Property("rc_sixth_form", th.StringType),
th.Property("rc_inspection_date", th.StringType),
th.Property("report_url", th.StringType), th.Property("report_url", th.StringType),
).to_dict() ).to_dict()
@@ -148,15 +237,8 @@ class OfstedInspectionsStream(Stream):
break break
return mapping return mapping
def get_records(self, context): def _fetch_and_parse_url(self, url: str, pd) -> list[dict]:
import pandas as pd """Download file and parse records."""
url = self.config.get("mi_url") or discover_csv_url()
if not url:
self.logger.error("Could not discover Ofsted MI download URL")
return
self.logger.info("Downloading Ofsted MI: %s", url)
resp = requests.get(url, timeout=120) resp = requests.get(url, timeout=120)
resp.raise_for_status() resp.raise_for_status()
@@ -172,8 +254,6 @@ class OfstedInspectionsStream(Stream):
lines = text.split("\n") lines = text.split("\n")
header_idx = 0 header_idx = 0
for i, line in enumerate(lines[:20]): for i, line in enumerate(lines[:20]):
# Match lines where URN appears as a CSV field (start or after comma),
# not as a substring of words like "turn" or "return".
if re.search(r'(?:^|,)\s*URN\s*(?:,|$)', line): if re.search(r'(?:^|,)\s*URN\s*(?:,|$)', line):
header_idx = i header_idx = i
break break
@@ -191,16 +271,38 @@ class OfstedInspectionsStream(Stream):
for _, row in df.iterrows(): for _, row in df.iterrows():
record = {} record = {}
for field, col in col_map.items(): for field, col in col_map.items():
record[field] = row.get(col, None) val = row.get(col, None)
if pd.isna(val):
val = None
record[field] = val
# Cast URN # Cast URN
try: try:
record["urn"] = int(record["urn"]) record["urn"] = int(record.get("urn"))
except (ValueError, KeyError, TypeError): except (ValueError, KeyError, TypeError):
continue continue
yield record yield record
def get_records(self, context):
import pandas as pd
# 1. State-funded schools
state_url = self.config.get("mi_url") or discover_csv_url()
if state_url:
self.logger.info("Downloading Ofsted state-funded MI: %s", state_url)
yield from self._fetch_and_parse_url(state_url, pd)
else:
self.logger.error("Could not discover Ofsted state-funded MI download URL")
# 2. Independent schools
ind_url = self.config.get("independent_mi_url") or discover_independent_csv_url()
if ind_url:
self.logger.info("Downloading Ofsted independent MI: %s", ind_url)
yield from self._fetch_and_parse_url(ind_url, pd)
else:
self.logger.error("Could not discover Ofsted independent MI download URL")
class TapUKOfsted(Tap): class TapUKOfsted(Tap):
"""Singer tap for UK Ofsted Management Information.""" """Singer tap for UK Ofsted Management Information."""
@@ -209,6 +311,7 @@ class TapUKOfsted(Tap):
config_jsonschema = th.PropertiesList( config_jsonschema = th.PropertiesList(
th.Property("mi_url", th.StringType, description="Direct URL to Ofsted MI file"), th.Property("mi_url", th.StringType, description="Direct URL to Ofsted MI file"),
th.Property("independent_mi_url", th.StringType, description="Direct URL to Ofsted Independent Schools MI file"),
).to_dict() ).to_dict()
def discover_streams(self): def discover_streams(self):
@@ -34,6 +34,7 @@ select
rc_leadership_governance, rc_leadership_governance,
rc_early_years, rc_early_years,
rc_sixth_form, rc_sixth_form,
rc_inspection_date,
report_url report_url
from ranked from ranked
where rn = 1 where rn = 1
@@ -133,6 +133,16 @@ models:
- name: year - name: year
tests: [not_null] tests: [not_null]
- name: fact_census_benchmarks
description: >
State-school context benchmarks from the pupil census — one row per
phase (primary/secondary), latest census year. fsm_pct/eal_pct are
pupil-weighted means; consumers label them "state-school average
(computed from our dataset)", never "England average".
columns:
- name: phase
tests: [not_null, unique]
- name: fact_admissions - name: fact_admissions
description: School admissions — one row per URN per year description: School admissions — one row per URN per year
columns: columns:
@@ -0,0 +1,39 @@
{{ config(materialized='table') }}
-- Mart: state-school context benchmarks from the pupil census — one row per
-- phase, latest census year. Computed at import time (never per request).
-- fsm_pct / eal_pct are pupil-weighted means, i.e. "what % of pupils", not
-- "the median school" — this matches how DfE quotes national FSM/EAL rates.
-- Consumers must label these "state-school average (computed from our
-- dataset)" (spec §8.6), never "England average".
with latest as (
select max(year) as year from {{ ref('fact_pupil_characteristics') }}
),
classified as (
select
case
when p.phase_type_grouping ilike '%primary%' then 'primary'
when p.phase_type_grouping ilike '%secondary%' then 'secondary'
end as phase,
p.total_pupils,
p.fsm_pct,
p.eal_pct,
l.year
from {{ ref('fact_pupil_characteristics') }} p
join latest l on p.year = l.year
where p.total_pupils is not null and p.total_pupils > 0
)
select
phase,
max(year) as year,
round((sum(fsm_pct * total_pupils) filter (where fsm_pct is not null)
/ nullif(sum(total_pupils) filter (where fsm_pct is not null), 0))::numeric, 1) as fsm_pct,
round((sum(eal_pct * total_pupils) filter (where eal_pct is not null)
/ nullif(sum(total_pupils) filter (where eal_pct is not null), 0))::numeric, 1) as eal_pct,
round(percentile_cont(0.5) within group (order by total_pupils))::integer as median_pupils
from classified
where phase is not null
group by phase
@@ -1,25 +1,22 @@
{{ config(materialized='table') }} {{ config(materialized='table') }}
-- Mart: Computed national KS4 averages — one row per academic year. -- Mart: OFFICIAL DfE KS4 national headline averages — one row per academic
-- Unlike fact_ks2_national_averages (official DfE figures), DfE publishes no -- year (England, state-funded, all pupils), from the EES national dataset.
-- KS4 national-headline dataset we ingest yet, so these are means computed -- Replaces the previous unweighted school-level means, which were 715
-- across the state schools in our dataset. Computed once at build time so the -- points off every headline measure and produced an arithmetically
-- API never has to aggregate the full performance table per request. -- impossible national Progress 8. gcse_grade_91_pct has no official
-- Semantics match the API's previous per-request computation: rows where -- national series and is NULL (schema kept for the API model).
-- attainment_8_score is non-null; per-column means ignore NULLs.
select select
year, year,
round(avg(attainment_8_score)::numeric, 2) as attainment_8_score, attainment_8_score,
round(avg(progress_8_score)::numeric, 2) as progress_8_score, progress_8_score,
round(avg(english_maths_standard_pass_pct)::numeric, 2) as english_maths_standard_pass_pct, english_maths_standard_pass_pct,
round(avg(english_maths_strong_pass_pct)::numeric, 2) as english_maths_strong_pass_pct, english_maths_strong_pass_pct,
round(avg(ebacc_entry_pct)::numeric, 2) as ebacc_entry_pct, ebacc_entry_pct,
round(avg(ebacc_standard_pass_pct)::numeric, 2) as ebacc_standard_pass_pct, ebacc_standard_pass_pct,
round(avg(ebacc_strong_pass_pct)::numeric, 2) as ebacc_strong_pass_pct, ebacc_strong_pass_pct,
round(avg(ebacc_avg_score)::numeric, 2) as ebacc_avg_score, ebacc_avg_score,
round(avg(gcse_grade_91_pct)::numeric, 2) as gcse_grade_91_pct cast(null as double precision) as gcse_grade_91_pct
from {{ ref('fact_ks4_performance') }} from {{ ref('stg_ees_ks4_national') }}
where attainment_8_score is not null
group by year
order by year order by year
@@ -23,5 +23,6 @@ select
rc_leadership_governance, rc_leadership_governance,
rc_early_years, rc_early_years,
rc_sixth_form, rc_sixth_form,
rc_inspection_date,
report_url report_url
from {{ ref('stg_ofsted_inspections') }} from {{ ref('stg_ofsted_inspections') }}
@@ -51,6 +51,9 @@ sources:
- name: ees_ks2_national - name: ees_ks2_national
description: KS2 national headline averages from DfE EES data catalogue — one row per academic year description: KS2 national headline averages from DfE EES data catalogue — one row per academic year
- name: ees_ks4_national
description: Official KS4 national headline averages from DfE EES data catalogue — one row per academic year
# Phonics: no school-level data on EES (only national/LA level) # Phonics: no school-level data on EES (only national/LA level)
- name: fbit_finance - name: fbit_finance
@@ -0,0 +1,20 @@
{{ config(materialized='table') }}
-- Staging model: official DfE KS4 national headline averages — one row per
-- academic year (England, all state-funded, all pupils). Source: EES data
-- catalogue "National characteristics summary data". Suppressed values
-- ('z', 'x') are coerced to NULL by safe_numeric — Progress 8 is 'z' in
-- years with no KS2 baseline (e.g. 2024/25): legitimately unpublished.
select
cast(trim(time_period) as integer) as year,
{{ safe_numeric('attainment_8_score') }} as attainment_8_score,
{{ safe_numeric('progress_8_score') }} as progress_8_score,
{{ safe_numeric('english_maths_standard_pass_pct') }} as english_maths_standard_pass_pct,
{{ safe_numeric('english_maths_strong_pass_pct') }} as english_maths_strong_pass_pct,
{{ safe_numeric('ebacc_entry_pct') }} as ebacc_entry_pct,
{{ safe_numeric('ebacc_standard_pass_pct') }} as ebacc_standard_pass_pct,
{{ safe_numeric('ebacc_strong_pass_pct') }} as ebacc_strong_pass_pct,
{{ safe_numeric('ebacc_avg_score') }} as ebacc_avg_score
from {{ source('raw', 'ees_ks4_national') }}
where time_period ~ '^[0-9]+$'
@@ -46,12 +46,16 @@ renamed as (
{{ parse_report_card_grade('rc_attendance_behaviour') }}::integer as rc_attendance_behaviour, {{ parse_report_card_grade('rc_attendance_behaviour') }}::integer as rc_attendance_behaviour,
{{ parse_report_card_grade('rc_personal_development') }}::integer as rc_personal_development, {{ parse_report_card_grade('rc_personal_development') }}::integer as rc_personal_development,
{{ parse_report_card_grade('rc_leadership_governance') }}::integer as rc_leadership_governance, {{ parse_report_card_grade('rc_leadership_governance') }}::integer as rc_leadership_governance,
-- No MI column exists for these yet (see tap.py); the tap never {{ parse_report_card_grade('rc_early_years') }}::integer as rc_early_years,
-- emits rc_early_years/rc_sixth_form, so these stay NULL. {{ parse_report_card_grade('rc_sixth_form') }}::integer as rc_sixth_form,
null::integer as rc_early_years,
null::integer as rc_sixth_form,
report_url -- Start date of the latest FULL inspection (the report-card
-- inspection in the renewed framework). Guarded in the final select:
-- only kept when the row actually carries report-card grades, because
-- in legacy-format files this column is the legacy inspection date.
to_date(nullif(trim(rc_inspection_date), 'NULL'), 'DD/MM/YYYY') as rc_inspection_date_raw,
nullif(trim(report_url), 'NULL') as report_url
from source from source
where urn is not null where urn is not null
and ( and (
@@ -60,5 +64,17 @@ renamed as (
) )
) )
select * from renamed select
*,
case
when rc_safeguarding_met is not null
or rc_inclusion is not null
or rc_curriculum_teaching is not null
or rc_achievement is not null
or rc_attendance_behaviour is not null
or rc_personal_development is not null
or rc_leadership_governance is not null
then rc_inspection_date_raw
end as rc_inspection_date
from renamed
where inspection_date is not null where inspection_date is not null