Compare commits

..
Author SHA1 Message Date
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
10 changed files with 29 additions and 81 deletions
-1
View File
@@ -577,7 +577,6 @@ def compute_benchmarks(df: pd.DataFrame) -> dict:
"eal_pct": _median(sub, "eal_pct"), "eal_pct": _median(sub, "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"),
"fsm_pct": _median(sub, "fsm_pct"),
"median_pupils": median_pupils, "median_pupils": median_pupils,
} }
if with_disadvantaged: if with_disadvantaged:
+9 -12
View File
@@ -17,33 +17,33 @@ def _df():
# weighted = (40*100 + 60*300) / 400 = 55.0 ; unweighted mean = 50.0 # weighted = (40*100 + 60*300) / 400 = 55.0 ; unweighted mean = 50.0
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=100, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=100,
rwm_expected_disadvantaged_pct=40.0, eal_pct=10.0, rwm_expected_disadvantaged_pct=40.0, eal_pct=10.0,
sen_support_pct=10.0, disadvantaged_pct=20.0, fsm_pct=15.0, total_pupils=200), sen_support_pct=10.0, disadvantaged_pct=20.0, total_pupils=200),
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=300, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=300,
rwm_expected_disadvantaged_pct=60.0, eal_pct=20.0, rwm_expected_disadvantaged_pct=60.0, eal_pct=20.0,
sen_support_pct=14.0, disadvantaged_pct=24.0, fsm_pct=17.0, total_pupils=280), sen_support_pct=14.0, disadvantaged_pct=24.0, total_pupils=280),
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=np.nan, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=np.nan,
rwm_expected_disadvantaged_pct=99.0, eal_pct=30.0, rwm_expected_disadvantaged_pct=99.0, eal_pct=30.0,
sen_support_pct=18.0, disadvantaged_pct=30.0, fsm_pct=19.0, total_pupils=300), sen_support_pct=18.0, disadvantaged_pct=30.0, total_pupils=300),
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=50, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=50,
rwm_expected_disadvantaged_pct=np.nan, eal_pct=np.nan, rwm_expected_disadvantaged_pct=np.nan, eal_pct=np.nan,
sen_support_pct=np.nan, disadvantaged_pct=np.nan, fsm_pct=np.nan, total_pupils=np.nan), sen_support_pct=np.nan, disadvantaged_pct=np.nan, total_pupils=np.nan),
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=40, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=40,
rwm_expected_disadvantaged_pct=np.nan, eal_pct=40.0, rwm_expected_disadvantaged_pct=np.nan, eal_pct=40.0,
sen_support_pct=20.0, disadvantaged_pct=40.0, fsm_pct=21.0, total_pupils=350), sen_support_pct=20.0, disadvantaged_pct=40.0, total_pupils=350),
dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=60, dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=60,
rwm_expected_disadvantaged_pct=np.nan, eal_pct=50.0, rwm_expected_disadvantaged_pct=np.nan, eal_pct=50.0,
sen_support_pct=22.0, disadvantaged_pct=44.0, fsm_pct=23.0, total_pupils=400), sen_support_pct=22.0, disadvantaged_pct=44.0, total_pupils=400),
# Two secondary schools (attainment_8 non-null) # Two secondary schools (attainment_8 non-null)
dict(year=LATEST, attainment_8_score=45.0, eligible_pupils=180, dict(year=LATEST, attainment_8_score=45.0, eligible_pupils=180,
rwm_expected_disadvantaged_pct=np.nan, eal_pct=15.0, rwm_expected_disadvantaged_pct=np.nan, eal_pct=15.0,
sen_support_pct=12.0, disadvantaged_pct=22.0, fsm_pct=12.0, total_pupils=1000), sen_support_pct=12.0, disadvantaged_pct=22.0, total_pupils=1000),
dict(year=LATEST, attainment_8_score=50.0, eligible_pupils=200, dict(year=LATEST, attainment_8_score=50.0, eligible_pupils=200,
rwm_expected_disadvantaged_pct=np.nan, eal_pct=25.0, rwm_expected_disadvantaged_pct=np.nan, eal_pct=25.0,
sen_support_pct=16.0, disadvantaged_pct=26.0, fsm_pct=14.0, total_pupils=1200), sen_support_pct=16.0, disadvantaged_pct=26.0, total_pupils=1200),
# An older-year primary row that must NOT influence anything # An older-year primary row that must NOT influence anything
dict(year=202324, attainment_8_score=np.nan, eligible_pupils=500, dict(year=202324, attainment_8_score=np.nan, eligible_pupils=500,
rwm_expected_disadvantaged_pct=1.0, eal_pct=99.0, rwm_expected_disadvantaged_pct=1.0, eal_pct=99.0,
sen_support_pct=99.0, disadvantaged_pct=99.0, fsm_pct=99.0, total_pupils=9999), sen_support_pct=99.0, disadvantaged_pct=99.0, total_pupils=9999),
] ]
return pd.DataFrame(rows) return pd.DataFrame(rows)
@@ -59,8 +59,6 @@ def test_medians_ignore_nan_and_older_years():
assert b["year"] == LATEST assert b["year"] == LATEST
# eal medians over [10,20,30,40,50] = 30 # eal medians over [10,20,30,40,50] = 30
assert b["primary"]["eal_pct"] == 30.0 assert b["primary"]["eal_pct"] == 30.0
# fsm medians over [15,17,19,21,23] = 19
assert b["primary"]["fsm_pct"] == 19.0
# median pupils over [200,280,300,350,400] = 300 # median pupils over [200,280,300,350,400] = 300
assert b["primary"]["median_pupils"] == 300 assert b["primary"]["median_pupils"] == 300
@@ -68,7 +66,6 @@ def test_medians_ignore_nan_and_older_years():
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
assert b["secondary"]["median_pupils"] == 1100 assert b["secondary"]["median_pupils"] == 1100
@@ -126,13 +126,6 @@ describe('ofstedDisplay', () => {
expect(ofstedDisplay(ofsted({})).kind).toBe('none'); expect(ofstedDisplay(ofsted({})).kind).toBe('none');
}); });
it('identifies transitional inspections without overall grades', () => {
const transitional = ofstedDisplay(
ofsted({ overall_effectiveness: null, inspection_date: '2024-11-05' }),
);
expect(transitional.kind).toBe('transitional');
});
it('uses the four legacy grade words', () => { it('uses the four legacy grade words', () => {
expect(OFSTED_LEGACY_GRADES).toEqual({ expect(OFSTED_LEGACY_GRADES).toEqual({
1: 'Outstanding', 1: 'Outstanding',
+11 -18
View File
@@ -142,23 +142,19 @@ export function ComparisonView({
}); });
}, [urnKey, isInitialized]); }, [urnKey, isInitialized]);
const primarySchools = selectedSchools.filter((school) => { // Classify schools by phase using comparison data
const classifySchool = (school: School): 'primary' | 'secondary' => {
const info = comparisonData?.[school.urn]?.school_info; const info = comparisonData?.[school.urn]?.school_info;
const hasPrimaryData = if (info?.attainment_8_score != null) return 'secondary';
info?.rwm_expected_pct != null || if (info?.rwm_expected_pct != null) return 'primary';
comparisonData?.[school.urn]?.yearly_data?.some((d) => d.rwm_expected_pct != null); // Fallback: check yearly data
if (hasPrimaryData) return true; const yearlyData = comparisonData?.[school.urn]?.yearly_data;
return school.phase?.toLowerCase().includes('primary') || false; if (yearlyData?.some((d) => d.attainment_8_score != null)) return 'secondary';
}); return 'primary';
};
const secondarySchools = selectedSchools.filter((school) => { const primarySchools = selectedSchools.filter((s) => classifySchool(s) === 'primary');
const info = comparisonData?.[school.urn]?.school_info; const secondarySchools = selectedSchools.filter((s) => classifySchool(s) === 'secondary');
const hasSecondaryData =
info?.attainment_8_score != null ||
comparisonData?.[school.urn]?.yearly_data?.some((d) => d.attainment_8_score != null);
if (hasSecondaryData) return true;
return school.phase?.toLowerCase().includes('secondary') || false;
});
// Auto-select tab with more schools and sync the metric to match the phase. // Auto-select tab with more schools and sync the metric to match the phase.
useEffect(() => { useEffect(() => {
@@ -379,7 +375,6 @@ export function ComparisonView({
data={activeComparisonData} data={activeComparisonData}
nationalAverages={nationalAverages} nationalAverages={nationalAverages}
benchmarks={benchmarks} benchmarks={benchmarks}
isSecondary={!isPrimary}
/> />
<CompareOfsted schools={activeSchools} data={activeComparisonData} /> <CompareOfsted schools={activeSchools} data={activeComparisonData} />
<CompareAcademics <CompareAcademics
@@ -387,14 +382,12 @@ export function ComparisonView({
data={activeComparisonData} data={activeComparisonData}
nationalAverages={nationalAverages} nationalAverages={nationalAverages}
benchmarks={benchmarks} benchmarks={benchmarks}
isSecondary={!isPrimary}
/> />
<CompareAdmissions schools={activeSchools} data={activeComparisonData} /> <CompareAdmissions schools={activeSchools} data={activeComparisonData} />
<CompareCommunity <CompareCommunity
schools={activeSchools} schools={activeSchools}
data={activeComparisonData} data={activeComparisonData}
benchmarks={benchmarks} benchmarks={benchmarks}
isSecondary={!isPrimary}
/> />
<TrendsExplorer <TrendsExplorer
schools={activeSchools} schools={activeSchools}
@@ -125,17 +125,15 @@ export function CompareAcademics({
data, data,
nationalAverages, nationalAverages,
benchmarks, benchmarks,
isSecondary: propIsSecondary,
}: { }: {
schools: School[]; schools: School[];
data: Record<string, ComparisonData>; data: Record<string, ComparisonData>;
nationalAverages?: NationalAverages; nationalAverages?: NationalAverages;
benchmarks?: Benchmarks; benchmarks?: Benchmarks;
isSecondary?: boolean;
}) { }) {
const urns = schools.map((school) => school.urn); const urns = schools.map((school) => school.urn);
const schoolNames = schools.map((school) => school.school_name); const schoolNames = schools.map((school) => school.school_name);
const isSecondary = propIsSecondary !== undefined ? propIsSecondary : schools.some( const isSecondary = schools.some(
(school) => data[String(school.urn)]?.school_info?.attainment_8_score != null, (school) => data[String(school.urn)]?.school_info?.attainment_8_score != null,
); );
@@ -47,16 +47,14 @@ export function CompareAtAGlance({
data, data,
nationalAverages, nationalAverages,
benchmarks, benchmarks,
isSecondary: propIsSecondary,
}: { }: {
schools: School[]; schools: School[];
data: Record<string, ComparisonData>; data: Record<string, ComparisonData>;
nationalAverages?: NationalAverages; nationalAverages?: NationalAverages;
benchmarks?: Benchmarks; benchmarks?: Benchmarks;
isSecondary?: boolean;
}) { }) {
const urns = schools.map((school) => school.urn); const urns = schools.map((school) => school.urn);
const isSecondary = propIsSecondary !== undefined ? propIsSecondary : schools.some( const isSecondary = schools.some(
(school) => data[String(school.urn)]?.school_info?.attainment_8_score != null, (school) => data[String(school.urn)]?.school_info?.attainment_8_score != null,
); );
const headlineKey = isSecondary ? 'attainment_8_score' : 'rwm_expected_pct'; const headlineKey = isSecondary ? 'attainment_8_score' : 'rwm_expected_pct';
@@ -85,14 +83,6 @@ export function CompareAtAGlance({
{display.carriedForward && <span className={s.small}>Grade carried forward</span>} {display.carriedForward && <span className={s.small}>Grade carried forward</span>}
</> </>
)} )}
{display.kind === 'transitional' && (
<>
<span className={s.badge} style={{ backgroundColor: '#e2e8f0', color: '#475569' }}>
No overall grade
</span>
<span className={s.small}>Sub-judgements only</span>
</>
)}
{display.kind === 'none' && <span className={s.small}>No inspection in our dataset</span>} {display.kind === 'none' && <span className={s.small}>No inspection in our dataset</span>}
</Cell> </Cell>
); );
@@ -20,27 +20,24 @@ export function CompareCommunity({
schools, schools,
data, data,
benchmarks, benchmarks,
isSecondary: propIsSecondary,
}: { }: {
schools: School[]; schools: School[];
data: Record<string, ComparisonData>; data: Record<string, ComparisonData>;
benchmarks?: Benchmarks; benchmarks?: Benchmarks;
isSecondary?: boolean;
}) { }) {
const isSecondary = propIsSecondary !== undefined ? propIsSecondary : schools.some( const isSecondary = schools.some(
(school) => data[String(school.urn)]?.school_info?.attainment_8_score != null, (school) => data[String(school.urn)]?.school_info?.attainment_8_score != null,
); );
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; if (value == null || bench?.disadvantaged_pct == null) return null;
if (value == null || anchor == null) return null; const v = verdict(value, bench.disadvantaged_pct, 3);
const v = verdict(value, anchor, 3);
return ( return (
<Chip tone="neutral"> <Chip tone="neutral">
{v === 'above' && `Above the state-school average (${Math.round(anchor)}%)`} {v === 'above' && 'Above the state-school average'}
{v === 'close' && `About the state-school average (${Math.round(anchor)}%)`} {v === 'close' && 'About the state-school average'}
{v === 'below' && `Below the state-school average (${Math.round(anchor)}%)`} {v === 'below' && 'Below the state-school average'}
</Chip> </Chip>
); );
}; };
@@ -51,18 +51,6 @@ function ResultCell({ display }: { display: OfstedDisplay }) {
</> </>
); );
} }
if (display.kind === 'transitional') {
return (
<>
<span className={s.badge} style={{ backgroundColor: '#e2e8f0', color: '#475569' }}>
No overall grade
</span>
<span className={s.small}>
Inspected under transitional framework (sub-judgements only)
</span>
</>
);
}
return ( return (
<> <>
<span className={`${s.badge} ${display.grade <= 2 ? s.badgeGood : display.grade === 3 ? s.badgeWarn : s.badgeBad}`}> <span className={`${s.badge} ${display.grade <= 2 ? s.badgeGood : display.grade === 3 ? s.badgeWarn : s.badgeBad}`}>
+1 -7
View File
@@ -102,7 +102,6 @@ export type OfstedDisplay =
| { kind: 'none' } | { kind: 'none' }
| { kind: 'graded'; grade: number; gradeLabel: string; carriedForward: false } | { kind: 'graded'; grade: number; gradeLabel: string; carriedForward: false }
| { kind: 'carried_forward'; grade: number; gradeLabel: string; carriedForward: true } | { kind: 'carried_forward'; grade: number; gradeLabel: string; carriedForward: true }
| { kind: 'transitional' }
| { kind: 'report_card'; summary: ReportCardSummary }; | { kind: 'report_card'; summary: ReportCardSummary };
export function ofstedDisplay( export function ofstedDisplay(
@@ -118,12 +117,7 @@ export function ofstedDisplay(
const grade = ofsted.overall_effectiveness; const grade = ofsted.overall_effectiveness;
const gradeLabel = grade != null ? OFSTED_LEGACY_GRADES[grade] : undefined; const gradeLabel = grade != null ? OFSTED_LEGACY_GRADES[grade] : undefined;
if (grade == null || gradeLabel === undefined) { if (grade == null || gradeLabel === undefined) return { kind: 'none' };
if (ofsted.inspection_date) {
return { kind: 'transitional' };
}
return { kind: 'none' };
}
if (ofsted.grade_source === 'ungraded_carried_forward') { if (ofsted.grade_source === 'ungraded_carried_forward') {
return { kind: 'carried_forward', grade, gradeLabel, carriedForward: true }; return { kind: 'carried_forward', grade, gradeLabel, carriedForward: true };
-1
View File
@@ -357,7 +357,6 @@ export interface BenchmarkBlock {
eal_pct: number | null; eal_pct: number | null;
sen_support_pct: number | null; sen_support_pct: number | null;
disadvantaged_pct: number | null; disadvantaged_pct: number | null;
fsm_pct?: number | null;
median_pupils: number | null; median_pupils: number | null;
/** Primary only — weighted by cohort size. */ /** Primary only — weighted by cohort size. */
disadvantaged_rwm_expected_pct?: number | null; disadvantaged_rwm_expected_pct?: number | null;