Tudor Sitaru
87442788d4
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 14s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 51s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 13s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
The "Peaked at X%" hint didn't say which metric it referenced, leaving parents to guess. Both branches now lead with "Reading, Writing & Maths". Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
442 lines
15 KiB
TypeScript
442 lines
15 KiB
TypeScript
/**
|
||
* PerformanceChart Component
|
||
* Displays school performance data over time using Chart.js.
|
||
*
|
||
* Desktop: full multi-series chart with dual y-axis (percentage + progress).
|
||
* Mobile (≤640px): a chip selector switches the chart between one focused view
|
||
* at a time — no dual axis, no legend, auto-scaled y-axis. Designed so the
|
||
* actual variation in the data is visible on a phone instead of a flat line.
|
||
*/
|
||
|
||
'use client';
|
||
|
||
import { useEffect, useMemo, useState } from 'react';
|
||
import { Line } from 'react-chartjs-2';
|
||
import { ChartOptions, ChartDataset } from 'chart.js';
|
||
import '@/lib/chartSetup';
|
||
import type { SchoolResult } from '@/lib/types';
|
||
import { formatAcademicYear } from '@/lib/utils';
|
||
import { track } from '@/lib/analytics';
|
||
import styles from './PerformanceChart.module.css';
|
||
|
||
interface NationalByYear {
|
||
year: number;
|
||
primary: Record<string, number>;
|
||
secondary: Record<string, number>;
|
||
}
|
||
|
||
interface PerformanceChartProps {
|
||
data: SchoolResult[];
|
||
schoolName: string;
|
||
isSecondary?: boolean;
|
||
nationalRwmAvg?: number | null;
|
||
nationalAtt8Avg?: number | null;
|
||
nationalByYear?: NationalByYear[];
|
||
}
|
||
|
||
const COVID_YEARS = new Set([201920, 202021]);
|
||
|
||
// Mobile chip definitions: which datasets render when each chip is active.
|
||
// `series` keys reference the dataset labels so we can filter cleanly.
|
||
type ChipId = 'expected' | 'higher' | 'progress' | 'attainment8' | 'em_pass' | 'progress8';
|
||
interface ChipDef {
|
||
id: ChipId;
|
||
label: string;
|
||
/** Dataset labels (from the desktop dataset list below) this chip surfaces. */
|
||
series: string[];
|
||
}
|
||
|
||
const PRIMARY_CHIPS: ChipDef[] = [
|
||
{ id: 'expected', label: 'At expected level', series: ['Reading, Writing & Maths expected %', 'National average'] },
|
||
{ id: 'higher', label: 'Above expected level', series: ['Exceeding expected level'] },
|
||
{ id: 'progress', label: 'Pupil progress', series: ['Reading progress', 'Writing progress', 'Maths progress'] },
|
||
];
|
||
|
||
const SECONDARY_CHIPS: ChipDef[] = [
|
||
{ id: 'attainment8', label: 'Attainment 8', series: ['Attainment 8', 'National average'] },
|
||
{ id: 'em_pass', label: 'English & Maths grade 4+', series: ['English & Maths Grade 4+'] },
|
||
{ id: 'progress8', label: 'Progress 8', series: ['Progress 8'] },
|
||
];
|
||
|
||
export function PerformanceChart({
|
||
data,
|
||
isSecondary = false,
|
||
nationalRwmAvg,
|
||
nationalAtt8Avg,
|
||
nationalByYear,
|
||
}: PerformanceChartProps) {
|
||
const sortedData = [...data].sort((a, b) => a.year - b.year);
|
||
const years = sortedData.map(d => formatAcademicYear(d.year));
|
||
|
||
// ── Mobile detection ─────────────────────────────────────────────────
|
||
// Hydration-safe: SSR renders desktop; client flips to mobile after mount.
|
||
const [isMobile, setIsMobile] = useState(false);
|
||
useEffect(() => {
|
||
const mq = window.matchMedia('(max-width: 640px)');
|
||
const update = () => setIsMobile(mq.matches);
|
||
update();
|
||
mq.addEventListener('change', update);
|
||
return () => mq.removeEventListener('change', update);
|
||
}, []);
|
||
|
||
// ── Build per-year national averages ─────────────────────────────────
|
||
const natRefRwm: (number | null)[] = sortedData.map(d => {
|
||
if (nationalByYear) {
|
||
const match = nationalByYear.find(n => n.year === d.year);
|
||
return match?.primary?.rwm_expected_pct ?? null;
|
||
}
|
||
return nationalRwmAvg ?? null;
|
||
});
|
||
const natRefAtt8: (number | null)[] = sortedData.map(d => {
|
||
if (nationalByYear) {
|
||
const match = nationalByYear.find(n => n.year === d.year);
|
||
return match?.secondary?.attainment_8_score ?? null;
|
||
}
|
||
return nationalAtt8Avg ?? null;
|
||
});
|
||
const hasNatRwm = natRefRwm.some(v => v != null);
|
||
const hasNatAtt8 = natRefAtt8.some(v => v != null);
|
||
|
||
// ── Trend summary (primary only — references headline metric) ────────
|
||
const trendSummary = (() => {
|
||
if (isSecondary) return null;
|
||
const rwm = sortedData.filter(d => d.rwm_expected_pct != null);
|
||
if (rwm.length < 2) return null;
|
||
const latest = rwm[rwm.length - 1];
|
||
const prev = rwm[rwm.length - 2];
|
||
const best = rwm.reduce((a, b) => (b.rwm_expected_pct! > a.rwm_expected_pct! ? b : a));
|
||
const latestPct = Math.round(latest.rwm_expected_pct!);
|
||
const bestPct = Math.round(best.rwm_expected_pct!);
|
||
const delta = latest.rwm_expected_pct! - prev.rwm_expected_pct!;
|
||
const arrow = delta > 1 ? '↑' : delta < -1 ? '↓' : '→';
|
||
if (best.year === latest.year) {
|
||
return `${arrow} Best year on record — ${latestPct}% met the expected standard in Reading, Writing & Maths`;
|
||
}
|
||
return `${arrow} Reading, Writing & Maths peaked at ${bestPct}% (${formatAcademicYear(best.year)}), currently ${latestPct}%`;
|
||
})();
|
||
|
||
const hasCovidGap = isSecondary
|
||
? false
|
||
: COVID_YEARS.size > 0 &&
|
||
[...COVID_YEARS].some(y => !sortedData.find(d => d.year === y));
|
||
|
||
// ── Datasets (full set; mobile filters them via the active chip) ─────
|
||
const refLineStyle = {
|
||
borderColor: 'rgba(90,80,70,0.35)',
|
||
backgroundColor: 'transparent',
|
||
borderWidth: 1.5,
|
||
borderDash: [6, 4] as number[],
|
||
pointRadius: 0,
|
||
tension: 0,
|
||
order: 10,
|
||
};
|
||
|
||
const allDatasets: ChartDataset<'line'>[] = isSecondary ? [
|
||
{
|
||
label: 'Attainment 8',
|
||
data: sortedData.map(d => d.attainment_8_score),
|
||
borderColor: '#2d7d7d',
|
||
backgroundColor: 'rgba(45,125,125,0.08)',
|
||
borderWidth: 2.5,
|
||
tension: 0.3,
|
||
pointRadius: 4,
|
||
pointHoverRadius: 6,
|
||
yAxisID: 'y',
|
||
},
|
||
{
|
||
label: 'English & Maths Grade 4+',
|
||
data: sortedData.map(d => d.english_maths_standard_pass_pct),
|
||
borderColor: '#c9a227',
|
||
backgroundColor: 'rgba(201,162,39,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
yAxisID: 'y',
|
||
},
|
||
{
|
||
label: 'Progress 8',
|
||
data: sortedData.map(d => d.progress_8_score),
|
||
borderColor: 'rgb(139,92,246)',
|
||
backgroundColor: 'rgba(139,92,246,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
hidden: true,
|
||
yAxisID: 'y1',
|
||
},
|
||
...(hasNatAtt8 ? [{
|
||
...refLineStyle,
|
||
label: 'National average',
|
||
data: natRefAtt8,
|
||
yAxisID: 'y',
|
||
} as ChartDataset<'line'>] : []),
|
||
] : [
|
||
{
|
||
label: 'Reading, Writing & Maths expected %',
|
||
data: sortedData.map(d => d.rwm_expected_pct),
|
||
borderColor: '#2d7d7d',
|
||
backgroundColor: 'rgba(45,125,125,0.08)',
|
||
borderWidth: 2.5,
|
||
tension: 0.3,
|
||
pointRadius: 4,
|
||
pointHoverRadius: 6,
|
||
yAxisID: 'y',
|
||
},
|
||
{
|
||
label: 'Exceeding expected level',
|
||
data: sortedData.map(d => d.rwm_high_pct),
|
||
borderColor: '#c9a227',
|
||
backgroundColor: 'rgba(201,162,39,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
yAxisID: 'y',
|
||
},
|
||
...(hasNatRwm ? [{
|
||
...refLineStyle,
|
||
label: 'National average',
|
||
data: natRefRwm,
|
||
yAxisID: 'y',
|
||
} as ChartDataset<'line'>] : []),
|
||
{
|
||
label: 'Reading progress',
|
||
data: sortedData.map(d => d.reading_progress),
|
||
borderColor: 'rgb(59,130,246)',
|
||
backgroundColor: 'rgba(59,130,246,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
hidden: true,
|
||
yAxisID: 'y1',
|
||
},
|
||
{
|
||
label: 'Writing progress',
|
||
data: sortedData.map(d => d.writing_progress),
|
||
borderColor: 'rgb(139,92,246)',
|
||
backgroundColor: 'rgba(139,92,246,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
hidden: true,
|
||
yAxisID: 'y1',
|
||
},
|
||
{
|
||
label: 'Maths progress',
|
||
data: sortedData.map(d => d.maths_progress),
|
||
borderColor: 'rgb(236,72,153)',
|
||
backgroundColor: 'rgba(236,72,153,0.08)',
|
||
borderWidth: 1.5,
|
||
tension: 0.3,
|
||
pointRadius: 3,
|
||
hidden: true,
|
||
yAxisID: 'y1',
|
||
},
|
||
];
|
||
|
||
// ── Mobile chip state + filtered datasets ────────────────────────────
|
||
const chips = isSecondary ? SECONDARY_CHIPS : PRIMARY_CHIPS;
|
||
|
||
// A chip is enabled only if at least one of its series has any real data.
|
||
const chipHasData = (chip: ChipDef) =>
|
||
chip.series.some(name => {
|
||
const ds = allDatasets.find(d => d.label === name);
|
||
return ds?.data?.some(v => v != null);
|
||
});
|
||
|
||
const firstEnabledChip = chips.find(chipHasData)?.id ?? chips[0].id;
|
||
const [activeChip, setActiveChip] = useState<ChipId>(firstEnabledChip);
|
||
|
||
const activeChipDef = chips.find(c => c.id === activeChip) ?? chips[0];
|
||
|
||
const mobileDatasets = useMemo(() => {
|
||
return allDatasets
|
||
.filter(ds => activeChipDef.series.includes(ds.label ?? ''))
|
||
.map(ds => ({ ...ds, hidden: false, yAxisID: 'y' as const }));
|
||
}, [activeChipDef, allDatasets]);
|
||
|
||
// Auto-scale Y axis for the mobile chart so variation is visible.
|
||
// For percentage chips: clamp to 0–100 but tighten when data sits in a band.
|
||
// For progress chips: centre on 0 with a small symmetric range.
|
||
const mobileYBounds = useMemo(() => {
|
||
const isProgress = activeChip === 'progress' || activeChip === 'progress8';
|
||
const values: number[] = mobileDatasets.flatMap(ds =>
|
||
(ds.data as Array<number | null | undefined>).filter((v): v is number => typeof v === 'number')
|
||
);
|
||
if (values.length === 0) return { min: 0, max: 100, isProgress };
|
||
const lo = Math.min(...values);
|
||
const hi = Math.max(...values);
|
||
if (isProgress) {
|
||
const reach = Math.max(2, Math.ceil(Math.max(Math.abs(lo), Math.abs(hi)) + 0.5));
|
||
return { min: -reach, max: reach, isProgress };
|
||
}
|
||
// Percentage: leave headroom but never widen below 0 / above 100.
|
||
const padded = Math.max(5, Math.round((hi - lo) * 0.2));
|
||
return {
|
||
min: Math.max(0, Math.floor((lo - padded) / 5) * 5),
|
||
max: Math.min(100, Math.ceil((hi + padded) / 5) * 5),
|
||
isProgress,
|
||
};
|
||
}, [activeChip, mobileDatasets]);
|
||
|
||
// ── Chart options ────────────────────────────────────────────────────
|
||
const desktopOptions: ChartOptions<'line'> = {
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
interaction: { mode: 'index', intersect: false },
|
||
plugins: {
|
||
legend: {
|
||
position: 'top',
|
||
labels: {
|
||
usePointStyle: true,
|
||
padding: 14,
|
||
font: { size: 12 },
|
||
},
|
||
},
|
||
title: { display: false },
|
||
tooltip: {
|
||
backgroundColor: 'rgba(26,22,18,0.92)',
|
||
padding: 12,
|
||
titleFont: { size: 13 },
|
||
bodyFont: { size: 12 },
|
||
callbacks: {
|
||
label: ctx => {
|
||
const label = ctx.dataset.label ?? '';
|
||
if (ctx.parsed.y == null) return label;
|
||
const isProgress = ctx.dataset.yAxisID === 'y1';
|
||
const suffix = isProgress ? '' : '%';
|
||
return `${label}: ${ctx.parsed.y.toFixed(1)}${suffix}`;
|
||
},
|
||
},
|
||
},
|
||
},
|
||
scales: {
|
||
y: {
|
||
type: 'linear', display: true, position: 'left',
|
||
title: { display: true, text: isSecondary ? 'Score / %' : 'Percentage (%)', font: { size: 11 } },
|
||
min: 0, max: isSecondary ? undefined : 100,
|
||
grid: { color: 'rgba(0,0,0,0.05)' },
|
||
ticks: { font: { size: 11 } },
|
||
},
|
||
y1: {
|
||
type: 'linear', display: true, position: 'right',
|
||
title: { display: true, text: isSecondary ? 'Progress 8' : 'Progress score', font: { size: 11 } },
|
||
grid: { drawOnChartArea: false },
|
||
ticks: { font: { size: 11 } },
|
||
},
|
||
x: {
|
||
grid: { display: false },
|
||
ticks: { font: { size: 11 } },
|
||
},
|
||
},
|
||
};
|
||
|
||
const mobileOptions: ChartOptions<'line'> = {
|
||
responsive: true,
|
||
maintainAspectRatio: false,
|
||
interaction: { mode: 'index', intersect: false },
|
||
plugins: {
|
||
legend: { display: false },
|
||
title: { display: false },
|
||
tooltip: {
|
||
backgroundColor: 'rgba(26,22,18,0.92)',
|
||
padding: 10,
|
||
titleFont: { size: 12 },
|
||
bodyFont: { size: 11 },
|
||
callbacks: {
|
||
label: ctx => {
|
||
const label = ctx.dataset.label ?? '';
|
||
if (ctx.parsed.y == null) return label;
|
||
const suffix = mobileYBounds.isProgress ? '' : '%';
|
||
return `${label}: ${ctx.parsed.y.toFixed(1)}${suffix}`;
|
||
},
|
||
},
|
||
},
|
||
},
|
||
scales: {
|
||
y: {
|
||
type: 'linear', display: true, position: 'left',
|
||
min: mobileYBounds.min, max: mobileYBounds.max,
|
||
grid: { color: 'rgba(0,0,0,0.05)' },
|
||
ticks: { font: { size: 10 }, maxTicksLimit: 5 },
|
||
},
|
||
x: {
|
||
grid: { display: false },
|
||
ticks: { font: { size: 10 }, autoSkip: false },
|
||
},
|
||
},
|
||
};
|
||
|
||
const subtitle = isSecondary
|
||
? 'GCSE results · Year 11'
|
||
: 'KS2 SATs · Reading, Writing & Maths';
|
||
|
||
return (
|
||
<div className={styles.chartOuter}>
|
||
{trendSummary && (
|
||
<div className={styles.trendSummary}>{trendSummary}</div>
|
||
)}
|
||
|
||
{/* Mobile-only chip selector */}
|
||
<div className={styles.mobileChips} aria-hidden={!isMobile}>
|
||
<div className={styles.mobileSubtitle}>{subtitle}</div>
|
||
<div className={styles.chipRow} role="tablist" aria-label="Select metric">
|
||
{chips.map(chip => {
|
||
const enabled = chipHasData(chip);
|
||
const active = chip.id === activeChip;
|
||
return (
|
||
<button
|
||
key={chip.id}
|
||
type="button"
|
||
role="tab"
|
||
aria-selected={active}
|
||
disabled={!enabled}
|
||
onClick={() => {
|
||
if (chip.id !== activeChip) {
|
||
track('chart_metric_changed', { chip: chip.id, phase: isSecondary ? 'secondary' : 'primary', viewport: 'mobile' });
|
||
}
|
||
setActiveChip(chip.id);
|
||
}}
|
||
className={`${styles.chip}${active ? ` ${styles.chipActive}` : ''}`}
|
||
title={!enabled ? 'No data for this school' : undefined}
|
||
>
|
||
{chip.label}
|
||
</button>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
|
||
<div className={styles.chartWrapper}>
|
||
<Line
|
||
data={{ labels: years, datasets: isMobile ? mobileDatasets : allDatasets }}
|
||
options={isMobile ? mobileOptions : desktopOptions}
|
||
/>
|
||
</div>
|
||
|
||
{/* When the Progress chip is active on primary, show a tiny inline legend
|
||
for the 3 sub-series (reading/writing/maths) — they share a unit and
|
||
belong together. */}
|
||
{isMobile && activeChip === 'progress' && (
|
||
<div className={styles.miniLegend}>
|
||
<span><span className={styles.miniDot} style={{ background: 'rgb(59,130,246)' }} />Reading</span>
|
||
<span><span className={styles.miniDot} style={{ background: 'rgb(139,92,246)' }} />Writing</span>
|
||
<span><span className={styles.miniDot} style={{ background: 'rgb(236,72,153)' }} />Maths</span>
|
||
</div>
|
||
)}
|
||
|
||
{hasCovidGap && (
|
||
<p className={styles.covidNote}>
|
||
* No data for 2019/20 or 2020/21 — national assessments were cancelled due to COVID-19.
|
||
</p>
|
||
)}
|
||
|
||
{/* Desktop-only hint about toggling progress in the legend */}
|
||
{!isSecondary && (
|
||
<p className={styles.chartHint}>
|
||
Progress scores (Reading, Writing, Maths) are hidden by default — click them in the legend to show.
|
||
</p>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|