Akiba So
4df6c71628
Adds a substantial layer of data-backed statistics (all grounded in verified, clean source data — no fabricated metrics). Backend (new routers/statistics.py, prefix /api/stats; +106 pytest still green): - /inpatient-clinical: LOS dist + by-disease quartiles, cost dist + by-disease + cost-vs-LOS, outcome counts, admission-route counts, BMI-by-age, KPIs (5822 admissions, median LOS 4d, mean ¥6294, cure 99.1%, emergency 47%) - /symptoms: 主诉 keyword frequencies (发热/咳嗽/肺炎…) + revisit ratio (36%) - /incidence-rate: per-10k-population standardized rate by district (cases ÷ pop) - /env-correlation: pollutant×cases Pearson + 7×7 pairwise matrix + PM2.5 scatter - /temporal: weekday distribution (+ month/yoy returned but UI omits them — data is December-only, so seasonality/YoY would be misleading) Frontend: - NEW 住院临床分析 page (/analysis/clinical, nav 临床分析): 9 charts + KPI row — LOS histogram + box-by-disease, cost histogram + scatter + by-disease, outcome donut (severity-colored), admission-route donut, age-band BMI box - DiseaseAnalysis: 主诉症状词频 horizontal bar + revisit ratio - DistrictComparison: 标化发病率（每万人）with 病例数↔发病率 toggle (rate is epidemiologically correct; raw counts mislead by population) - EnvironmentalHealth: pollutant-cases correlation bar + 7×7 correlation heatmap + PM2.5×cases scatter with least-squares regression line - TrendAnalysis: 星期就诊分布 + honest "data is December-only" note - statsApi client + types Gates: tsc 0 · build ok · functional e2e 43/43 (incl 2 new clinical) · verified live against real backend data via dev proxy Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
57 lines
1.7 KiB
TypeScript
57 lines
1.7 KiB
TypeScript
import { memo } from 'react';
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import { PieChart, Pie, Cell, Tooltip, Legend, ResponsiveContainer } from 'recharts';
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import { CLINICAL_COLORS, TOOLTIP_STYLE } from './chartColors';
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export interface DonutSlice {
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name: string;
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value: number;
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}
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interface DonutChartProps {
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data: DonutSlice[];
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/** name -> color。未命中时按 palette 顺序回退。 */
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colorMap?: Record<string, string>;
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}
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/** 通用环形图。复用于「出院结局构成」与「入院途径构成」。 */
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export const DonutChart = memo(function DonutChart({ data, colorMap }: DonutChartProps) {
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if (!data || data.length === 0) {
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return <div className="text-center py-8 text-text-muted text-sm">暂无数据</div>;
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}
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const total = data.reduce((s, d) => s + d.value, 0);
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const colorFor = (name: string, idx: number) =>
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colorMap?.[name] ??
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CLINICAL_COLORS.routePalette[idx % CLINICAL_COLORS.routePalette.length] ??
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CLINICAL_COLORS.outcomeFallback;
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return (
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<ResponsiveContainer width="100%" height={280}>
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<PieChart>
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<Pie
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data={data}
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dataKey="value"
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nameKey="name"
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cx="50%"
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cy="50%"
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innerRadius={56}
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outerRadius={88}
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paddingAngle={2}
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>
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{data.map((d, idx) => (
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<Cell key={d.name} fill={colorFor(d.name, idx)} />
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))}
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</Pie>
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<Tooltip
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contentStyle={TOOLTIP_STYLE}
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formatter={(v: number, name: string) => [
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`${v.toLocaleString()}（${total > 0 ? ((v / total) * 100).toFixed(1) : '0'}%）`,
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name,
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]}
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/>
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<Legend wrapperStyle={{ fontSize: '11px' }} />
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</PieChart>
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</ResponsiveContainer>
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);
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});
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