113 lines
4.1 KiB
React
113 lines
4.1 KiB
React
import React, { useEffect, useMemo, useState } from 'react';
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import { experimentsApi } from '../api/client';
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import Button from './ui/Button';
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import Alert from './ui/Alert';
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import { listExportableParams, buildMatrix, toCSV, csvFilename } from '../lib/dataExport';
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const GROUP_LABELS = { metrics: 'Session metrics', daily: 'Daily record fields' };
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function triggerDownload(filename, text) {
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const blob = new Blob([text], { type: 'text/csv;charset=utf-8;' });
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const url = URL.createObjectURL(blob);
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const a = document.createElement('a');
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a.href = url;
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a.download = filename;
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document.body.appendChild(a);
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a.click();
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document.body.removeChild(a);
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setTimeout(() => URL.revokeObjectURL(url), 0);
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}
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export default function ExportDataModal({ experimentTitle, experimentId, dailyTemplate, animals, onClose }) {
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const [loading, setLoading] = useState(true);
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const [error, setError] = useState(null);
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const [statuses, setStatuses] = useState([]);
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const [selectedId, setSelectedId] = useState(null);
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useEffect(() => {
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let alive = true;
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setLoading(true);
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setError(null);
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experimentsApi.getDailyStatuses(experimentId, {})
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.then((data) => { if (alive) setStatuses(data); })
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.catch((err) => { if (alive) setError(err.message); })
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.finally(() => { if (alive) setLoading(false); });
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return () => { alive = false; };
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}, [experimentId]);
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const params = useMemo(() => listExportableParams(dailyTemplate, statuses), [dailyTemplate, statuses]);
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// Derive the effective selection: the user's pick, else the first parameter.
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const effectiveId = selectedId ?? params[0]?.id ?? null;
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const selectedParam = params.find((p) => p.id === effectiveId) ?? null;
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const matrix = useMemo(
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() => (selectedParam ? buildMatrix(statuses, animals, selectedParam) : { columns: [], rows: [] }),
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[statuses, animals, selectedParam],
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);
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const hasData = matrix.rows.length > 0;
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// Group params for <optgroup> rendering, preserving order.
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const grouped = useMemo(() => {
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const out = [];
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for (const p of params) {
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let g = out.find((x) => x.group === p.group);
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if (!g) { g = { group: p.group, items: [] }; out.push(g); }
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g.items.push(p);
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}
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return out;
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}, [params]);
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function handleExport() {
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if (!hasData || !selectedParam) return;
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triggerDownload(csvFilename(experimentTitle, selectedParam.label), toCSV(matrix));
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onClose();
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}
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if (loading) return <p className="text-sm text-gray-400" aria-live="polite">Loading data…</p>;
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if (error) return (
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<div className="space-y-4">
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<Alert type="error" message={error} />
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<div className="flex justify-end">
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<Button variant="secondary" onClick={onClose}>Close</Button>
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</div>
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</div>
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);
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return (
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<div className="space-y-4">
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<p className="text-sm text-gray-500">
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Export one parameter as a CSV file — each row is a date, each column is a subject.
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</p>
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<div>
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<label htmlFor="export-param" className="block text-xs font-medium text-gray-500 mb-1">Parameter</label>
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<select
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id="export-param"
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value={effectiveId ?? ''}
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onChange={(e) => setSelectedId(e.target.value)}
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className="w-full border border-gray-200 rounded px-2 py-1.5 text-sm bg-white focus:outline-none focus:ring-1 focus:ring-indigo-400"
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>
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{grouped.map((g) => (
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<optgroup key={g.group} label={GROUP_LABELS[g.group] ?? g.group}>
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{g.items.map((p) => <option key={p.id} value={p.id}>{p.label}</option>)}
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</optgroup>
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))}
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</select>
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</div>
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<p className="text-xs text-gray-400">
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{hasData
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? `${matrix.rows.length} date${matrix.rows.length !== 1 ? 's' : ''} × ${matrix.columns.length} subject${matrix.columns.length !== 1 ? 's' : ''}`
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: 'No data for this parameter yet.'}
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</p>
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<div className="flex justify-end gap-2 pt-2">
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<Button variant="secondary" onClick={onClose}>Cancel</Button>
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<Button onClick={handleExport} disabled={!hasData}>Export CSV</Button>
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</div>
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</div>
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);
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}
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