- Add iit_schema with 5 tables - Create module structure and types (223 lines) - WeChat integration verified (Access Token success) - Update system docs to v2.4 - Add REDCap source folders to .gitignore - Day 1/14 complete (11/11 tasks)
415 lines
13 KiB
TypeScript
415 lines
13 KiB
TypeScript
/**
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* 指标-时间表转换面板
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*
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* 将多个时间点列转换为"指标行+时间点列"格式
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* 典型场景:制作临床研究Table 1,横向对比同一指标的时间变化
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*/
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import React, { useState, useEffect } from 'react';
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import { Button, Alert, Checkbox, App, Input, Spin, Tag } from 'antd';
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import { ArrowLeftRight, Info, Sparkles } from 'lucide-react';
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interface Props {
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columns: Array<{ id: string; name: string }>;
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sessionId: string | null;
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onApply: (newData: any[]) => void;
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onClose: () => void;
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}
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interface DetectedPattern {
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common_prefix: string;
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separator: string;
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timepoints: string[];
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confidence: number;
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message: string;
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}
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const MetricTimePanel: React.FC<Props> = ({
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columns,
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sessionId,
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onApply,
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onClose,
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}) => {
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const { message } = App.useApp();
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const [idVars, setIdVars] = useState<string[]>([]);
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const [valueVars, setValueVars] = useState<string[]>([]);
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const [loading, setLoading] = useState(false);
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const [detecting, setDetecting] = useState(false);
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// 检测结果
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const [pattern, setPattern] = useState<DetectedPattern | null>(null);
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const [metricName, setMetricName] = useState('');
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const [separator, setSeparator] = useState('');
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const [timepointColName, setTimepointColName] = useState('时间点');
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// 当值列变化时,自动检测模式
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useEffect(() => {
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if (valueVars.length >= 2) {
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detectPattern();
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} else {
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setPattern(null);
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setMetricName('');
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setSeparator('');
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}
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}, [valueVars]);
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// 自动检测模式
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const detectPattern = async () => {
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setDetecting(true);
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try {
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const response = await fetch('/api/v1/dc/tool-c/metric-time/detect', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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sessionId,
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valueVars,
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}),
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});
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const result = await response.json();
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if (result.success && result.pattern) {
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setPattern(result.pattern);
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setMetricName(result.pattern.common_prefix || '');
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setSeparator(result.pattern.separator || '');
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if (result.pattern.confidence >= 0.8) {
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message.success(`自动检测成功!置信度: ${(result.pattern.confidence * 100).toFixed(0)}%`);
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} else if (result.pattern.confidence >= 0.5) {
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message.warning(`检测成功但置信度较低 (${(result.pattern.confidence * 100).toFixed(0)}%),建议检查结果`);
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} else {
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message.warning('检测置信度较低,建议手动调整参数');
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}
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} else {
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message.error(result.error || '模式检测失败');
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}
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} catch (error: any) {
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message.error('检测失败:' + error.message);
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} finally {
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setDetecting(false);
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}
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};
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// 执行转换
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const handleApply = async () => {
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if (!sessionId) {
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message.error('Session ID不存在');
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return;
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}
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// 验证
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if (idVars.length === 0) {
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message.warning('请至少选择1个ID列');
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return;
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}
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if (valueVars.length < 2) {
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message.warning('请至少选择2个值列');
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return;
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}
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// 验证:ID列和值列不能重复
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const overlap = idVars.filter(id => valueVars.includes(id));
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if (overlap.length > 0) {
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message.error(`ID列和值列不能重复:${overlap.join(', ')}`);
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return;
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}
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if (!metricName.trim()) {
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message.warning('请输入指标名称');
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return;
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}
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if (!timepointColName.trim()) {
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message.warning('请输入时间点列名');
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return;
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}
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setLoading(true);
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try {
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const response = await fetch('/api/v1/dc/tool-c/quick-action', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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sessionId,
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action: 'metric_time',
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params: {
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idVars,
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valueVars,
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metricName,
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separator: separator || undefined,
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timepointColName,
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},
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}),
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});
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const result = await response.json();
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if (!result.success) {
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throw new Error(result.error || '指标-时间表转换失败');
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}
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message.success('指标-时间表转换成功!');
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// 更新父组件数据
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if (result.data?.newDataPreview) {
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onApply(result.data.newDataPreview);
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}
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// 成功后关闭
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onClose();
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} catch (error: any) {
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message.error(error.message || '执行失败');
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} finally {
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setLoading(false);
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}
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};
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// 获取时间点预览(从pattern中)
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const timepoints = pattern?.timepoints || [];
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const timepointsSample = timepoints.slice(0, 5);
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const hasMoreTimepoints = timepoints.length > 5;
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return (
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<div className="space-y-4 pb-4">
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{/* 说明 */}
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<Alert
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description={
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<div className="text-xs space-y-1">
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<div>• 将多个时间点列转换为"指标行+时间点列"格式</div>
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<div>• 典型场景:制作临床研究Table 1,横向对比同一指标的时间变化</div>
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<div>• 示例:FMA___基线、FMA___2周 → 时间点列(FMA)+ 基线列 + 2周列</div>
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</div>
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}
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type="info"
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showIcon
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icon={<Info size={16} />}
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className="mb-4"
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/>
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{/* 第1步:ID列 */}
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<div>
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<label className="text-sm font-medium text-slate-700 mb-2 block">
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第1步:选择ID列(保持不变)<span className="text-red-500">*</span>
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</label>
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<div className="border rounded-lg p-3 max-h-40 overflow-y-auto bg-slate-50">
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<Checkbox.Group
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value={idVars}
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onChange={setIdVars}
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className="flex flex-col gap-2"
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>
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{columns.map((col) => (
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<Checkbox key={col.id} value={col.id} disabled={valueVars.includes(col.id)}>
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{col.name}
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</Checkbox>
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))}
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</Checkbox.Group>
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</div>
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<div className="text-xs text-slate-500 mt-1">
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这些列的值在转换后保持不变(如:Record_ID、性别、年龄)
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</div>
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</div>
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{/* 第2步:值列 */}
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<div>
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<label className="text-sm font-medium text-slate-700 mb-2 block">
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第2步:选择值列(同一指标的多个时间点)<span className="text-red-500">*</span>
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</label>
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<div className="border rounded-lg p-3 max-h-40 overflow-y-auto bg-slate-50">
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<Checkbox.Group
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value={valueVars}
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onChange={setValueVars}
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className="flex flex-col gap-2"
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>
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{columns.map((col) => (
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<Checkbox key={col.id} value={col.id} disabled={idVars.includes(col.id)}>
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{col.name}
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</Checkbox>
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))}
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</Checkbox.Group>
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</div>
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<div className="text-xs text-slate-500 mt-1">
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至少选择2列。这些列应该属于同一个指标的不同时间点(已选择 {valueVars.length} 列)
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</div>
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</div>
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{/* 第3步:自动检测结果 */}
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{valueVars.length >= 2 && (
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<div className="border-t pt-4">
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<div className="flex items-center gap-2 mb-3">
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<Sparkles size={16} className="text-purple-500" />
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<span className="text-sm font-medium text-slate-700">第3步:自动检测分析</span>
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{detecting && <Spin size="small" />}
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</div>
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{pattern ? (
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<div className="space-y-3">
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{/* 检测结果 */}
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<div className="p-3 bg-green-50 rounded-lg border border-green-200">
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<div className="flex items-start justify-between mb-2">
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<div className="text-sm font-medium text-green-800">
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✓ 检测成功
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</div>
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<Tag color={pattern.confidence >= 0.8 ? 'green' : pattern.confidence >= 0.5 ? 'orange' : 'red'}>
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置信度: {(pattern.confidence * 100).toFixed(0)}%
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</Tag>
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</div>
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<div className="text-xs text-green-700 space-y-1">
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<div>• 检测到 {timepoints.length} 个时间点</div>
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<div>• {pattern.message}</div>
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</div>
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</div>
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{/* 指标名称(可编辑) */}
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<div>
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<label className="text-sm font-medium text-slate-700 mb-1 block">
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指标名称:<span className="text-red-500">*</span>
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</label>
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<Input
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placeholder="如:FMA总得分"
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value={metricName}
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onChange={(e) => setMetricName(e.target.value)}
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maxLength={100}
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suffix={
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<span className="text-xs text-slate-400">🖊️ 可编辑</span>
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}
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/>
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<div className="text-xs text-slate-500 mt-1">
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自动检测到的指标名,可手动修改
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</div>
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</div>
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{/* 分隔符(可编辑) */}
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<div>
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<label className="text-sm font-medium text-slate-700 mb-1 block">
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分隔符:
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</label>
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<Input
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placeholder="如:___"
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value={separator}
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onChange={(e) => setSeparator(e.target.value)}
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maxLength={10}
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suffix={
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<span className="text-xs text-slate-400">
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{separator ? `"${separator}"` : '无'}
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</span>
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}
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/>
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<div className="text-xs text-slate-500 mt-1">
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自动检测到的分隔符({separator ? `"${separator}"` : '未检测到'}),可手动修改
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</div>
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</div>
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{/* 时间点列名 */}
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<div>
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<label className="text-sm font-medium text-slate-700 mb-1 block">
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时间点列名:<span className="text-red-500">*</span>
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</label>
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<Input
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placeholder="如:时间点"
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value={timepointColName}
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onChange={(e) => setTimepointColName(e.target.value)}
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maxLength={30}
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/>
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<div className="text-xs text-slate-500 mt-1">
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新增列的列名,用于存储指标名称
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</div>
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</div>
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{/* 时间点预览 */}
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<div className="p-3 bg-slate-50 rounded-lg border border-slate-200">
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<div className="text-xs font-medium text-slate-700 mb-2">
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识别到的时间点({timepoints.length}个):
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</div>
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<div className="flex flex-wrap gap-1">
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{timepointsSample.map((tp, idx) => (
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<Tag key={idx} color="blue">
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{tp}
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</Tag>
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))}
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{hasMoreTimepoints && (
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<Tag color="default">
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... 还有 {timepoints.length - 5} 个
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</Tag>
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)}
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</div>
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</div>
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</div>
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) : (
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<div className="p-3 bg-slate-50 rounded-lg text-center text-sm text-slate-500">
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正在自动检测列名模式...
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</div>
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)}
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</div>
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)}
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{/* 转换结果预览 */}
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{pattern && valueVars.length >= 2 && (
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<Alert
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description={
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<div className="text-xs space-y-1">
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<div className="font-medium mb-1">转换结果预览:</div>
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<div className="pl-2 space-y-0.5">
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<div>• 新增"{timepointColName}"列,值为:{metricName}</div>
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<div>• 原来的 {valueVars.length} 列 → 转换为 {timepoints.length} 个时间点列</div>
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<div>• 时间点列名:{timepointsSample.join(', ')}{hasMoreTimepoints ? '...' : ''}</div>
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</div>
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</div>
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}
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type="success"
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showIcon={false}
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className="bg-green-50 border-green-200"
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/>
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)}
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{/* 警告 */}
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<Alert
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description={
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<div className="text-xs space-y-1">
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<div>• 请确保选中的列属于同一个指标的不同时间点</div>
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<div>• 如果检测结果不准确,可以手动修改指标名称和分隔符</div>
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</div>
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}
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type="warning"
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showIcon={false}
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className="bg-orange-50 border-orange-200"
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/>
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{/* 底部按钮 */}
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<div className="flex justify-end gap-2 pt-4 border-t">
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<Button onClick={onClose}>
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取消
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</Button>
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<Button
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type="primary"
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onClick={handleApply}
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loading={loading}
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disabled={!pattern || valueVars.length < 2 || idVars.length === 0}
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icon={<ArrowLeftRight size={16} />}
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>
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执行转换
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</Button>
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</div>
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</div>
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);
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};
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export default MetricTimePanel;
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