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feat(export): generalized buildMatrix over assignable dimensions

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Experiments DB Dev
2026-07-19 13:22:53 -04:00
parent 7d112de0d7
commit 600323f40a
2 changed files with 99 additions and 83 deletions
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frontend/src/lib/dataExport.js
+48 -44
View File
@@ -148,53 +148,57 @@ function dateKey(date) {
return String(date).slice(0, 10); // ISO datetime or date → YYYY-MM-DD return String(date).slice(0, 10); // ISO datetime or date → YYYY-MM-DD
} }
// Pivot statuses into { columns, rows }. // Pivot statuses into a 2-D matrix per the chosen row/column dimensions.
// columns: [{ id, header }] — all animals, ordered by name, headers // The leftover (pinned) dimension is fixed to pinnedMember. Every cell resolves
// disambiguated with animal_id_string on duplicate names. // a (dateKey, animalId, param) triple through the status index.
// rows: [{ date, values }] — one per date that has ≥1 value; values are export function buildMatrix(config, ctx) {
// aligned to columns, blank cells are '' (empty string). const { rowDim, colDim, pinnedMember, groupField } = config;
export function buildMatrix(statuses, animals, param) { const pinnedDim = otherDimension(rowDim, colDim);
const sortedAnimals = [...(animals ?? [])].sort((a, b) => const index = buildStatusIndex(ctx.statuses);
String(a.animal_name ?? '').localeCompare(String(b.animal_name ?? '')), const full = { ...ctx, groupField };
); const rowMembers = listDimensionMembers(rowDim, full);
const colMembers = listDimensionMembers(colDim, full);
const nameCounts = new Map(); const cellValue = (rowM, colM) => {
for (const a of sortedAnimals) { const byDim = { [rowDim]: rowM, [colDim]: colM, [pinnedDim]: pinnedMember };
const n = a.animal_name ?? ''; const dk = byDim.date?.dateKey ?? null;
nameCounts.set(n, (nameCounts.get(n) ?? 0) + 1); const animalId = byDim.subject?.animalId ?? null;
} const param = byDim.parameter?.param ?? null;
const columns = sortedAnimals.map((a) => { if (dk === null || animalId === null || animalId === undefined || !param) return '';
const name = a.animal_name ?? ''; const status = index.get(dk)?.get(animalId);
const header = nameCounts.get(name) > 1 ? `${name} (${a.animal_id_string ?? ''})` : name; if (!status) return '';
return { id: a.id, header }; const v = extractValue(status, param);
});
const colIndex = new Map(columns.map((c, i) => [c.id, i]));
// cells: dateKey -> Map(animalId -> value); first status per (date, animal) wins.
const cells = new Map();
const datesWithData = new Set();
const ordered = [...(statuses ?? [])].sort((a, b) => dateKey(a.date).localeCompare(dateKey(b.date)));
for (const s of ordered) {
if (!colIndex.has(s.animal_id)) continue;
const dk = dateKey(s.date);
if (!cells.has(dk)) cells.set(dk, new Map());
const byAnimal = cells.get(dk);
if (byAnimal.has(s.animal_id)) continue; // first wins
const v = extractValue(s, param);
byAnimal.set(s.animal_id, v);
if (hasValue(v)) datesWithData.add(dk);
}
const rows = [...datesWithData].sort().map((dk) => {
const byAnimal = cells.get(dk);
const values = columns.map((c) => {
const v = byAnimal.has(c.id) ? byAnimal.get(c.id) : null;
return hasValue(v) ? v : ''; return hasValue(v) ? v : '';
}); };
return { date: dk, values };
});
return { columns, rows }; let rows = rowMembers.map((rowM) => ({
member: rowM,
values: colMembers.map((colM) => cellValue(rowM, colM)),
}));
// Empty-member rule: keep all subjects; drop entirely-blank date/parameter rows & columns.
if (rowDim !== 'subject') rows = rows.filter((r) => r.values.some((v) => v !== ''));
let keptCols = colMembers.map((_, i) => i);
if (colDim !== 'subject') keptCols = keptCols.filter((i) => rows.some((r) => r.values[i] !== ''));
const columns = keptCols.map((i) => colMembers[i]);
rows = rows.map((r) => ({ member: r.member, values: keptCols.map((i) => r.values[i]) }));
const grouped = !!groupField && groupField !== '__none__';
const groupAxis = grouped
? (rowDim === 'subject' ? 'row' : colDim === 'subject' ? 'col' : null)
: null;
return {
rowDim,
colDim,
pinnedDim,
corner: dimLabel(rowDim),
context: { label: dimLabel(pinnedDim), value: pinnedMember?.label ?? '' },
groupAxis,
columns,
rows,
};
} }
function escapeCsvCell(value) { function escapeCsvCell(value) {
frontend/tests/dataExport.test.js
+51 -39
View File
@@ -73,56 +73,68 @@ describe('listExportableParams', () => {
import { buildMatrix } from '../src/lib/dataExport'; import { buildMatrix } from '../src/lib/dataExport';
const animals = [ const gAnimals = [
{ id: 'a2', animal_name: 'Beta', animal_id_string: 'R-002' }, { id: 'a2', animal_name: 'Beta', animal_id_string: 'R-002', subject_info: { grp: 'Drug' } },
{ id: 'a1', animal_name: 'Alpha', animal_id_string: 'R-001' }, { id: 'a1', animal_name: 'Alpha', animal_id_string: 'R-001', subject_info: { grp: 'Control' } },
]; ];
const totalParam = { kind: 'total' }; const gStatuses = [
{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 5, success_rate: 0.5 } },
{ animal_id: 'a2', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 9, success_rate: 0.9 } },
{ animal_id: 'a1', date: '2026-07-02T00:00:00.000Z', analysis_summary: { total: 7, success_rate: 0.7 } },
];
const ctx = { statuses: gStatuses, animals: gAnimals, dailyTemplate: [] };
const totalMember = { id: '__total__', label: 'Total attempts', param: { kind: 'total' }, group: 'metrics' };
describe('buildMatrix', () => { describe('buildMatrix', () => {
it('orders columns by animal_name and rows by date ascending', () => { it('default preset: rows=date, cols=subject, pinned=parameter (legacy layout)', () => {
const statuses = [ const m = buildMatrix({ rowDim: 'date', colDim: 'subject', pinnedMember: totalMember, groupField: '__none__' }, ctx);
{ animal_id: 'a1', date: '2026-07-02T00:00:00.000Z', analysis_summary: { total: 5 } }, expect(m.corner).toBe('Date');
{ animal_id: 'a2', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 9 } }, expect(m.context).toEqual({ label: 'Parameter', value: 'Total attempts' });
]; expect(m.columns.map((c) => c.label)).toEqual(['Alpha', 'Beta']);
const m = buildMatrix(statuses, animals, totalParam); expect(m.rows.map((r) => r.member.label)).toEqual(['2026-07-01', '2026-07-02']);
expect(m.columns.map((c) => c.header)).toEqual(['Alpha', 'Beta']); expect(m.rows[0].values).toEqual([5, 9]);
expect(m.rows.map((r) => r.date)).toEqual(['2026-07-01', '2026-07-02']); expect(m.rows[1].values).toEqual([7, '']); // Beta blank on 07-02
// Row for 07-01: Alpha blank, Beta 9 expect(m.groupAxis).toBeNull();
expect(m.rows[0].values).toEqual(['', 9]);
// Row for 07-02: Alpha 5, Beta blank
expect(m.rows[1].values).toEqual([5, '']);
}); });
it('includes only dates that have at least one value (0 counts as a value)', () => {
it('drops blank date rows but keeps all subject columns', () => {
const statuses = [ const statuses = [
{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 0 } }, { animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 0 } }, // 0 is a value
{ animal_id: 'a1', date: '2026-07-03T00:00:00.000Z', analysis_summary: null }, // no value { animal_id: 'a1', date: '2026-07-03T00:00:00.000Z', analysis_summary: null }, // no value
]; ];
const m = buildMatrix(statuses, animals, totalParam); const m = buildMatrix({ rowDim: 'date', colDim: 'subject', pinnedMember: totalMember, groupField: '__none__' },
expect(m.rows.map((r) => r.date)).toEqual(['2026-07-01']); { statuses, animals: gAnimals, dailyTemplate: [] });
expect(m.rows.map((r) => r.member.label)).toEqual(['2026-07-01']);
expect(m.columns.length).toBe(2);
expect(m.rows[0].values).toEqual([0, '']); expect(m.rows[0].values).toEqual([0, '']);
}); });
it('disambiguates duplicate animal names with the id string', () => {
const dupAnimals = [ it('subject as columns sets groupAxis=col and clusters subjects', () => {
{ id: 'a1', animal_name: 'Rat', animal_id_string: 'R-001' }, const m = buildMatrix({ rowDim: 'date', colDim: 'subject', pinnedMember: totalMember, groupField: 'grp' }, ctx);
{ id: 'a2', animal_name: 'Rat', animal_id_string: 'R-002' }, expect(m.groupAxis).toBe('col');
]; expect(m.columns.map((c) => [c.group, c.label])).toEqual([['Control', 'Alpha'], ['Drug', 'Beta']]);
const statuses = [{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 1 } }];
const m = buildMatrix(statuses, dupAnimals, totalParam);
expect(m.columns.map((c) => c.header)).toEqual(['Rat (R-001)', 'Rat (R-002)']);
}); });
it('keeps the first status when a subject has duplicates on one date', () => {
const statuses = [ it('subject as rows sets groupAxis=row; pinned date; cols=parameter', () => {
{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 7 } }, const dateMember = { id: '2026-07-01', label: '2026-07-01', dateKey: '2026-07-01' };
{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: { total: 99 } }, const m = buildMatrix({ rowDim: 'subject', colDim: 'parameter', pinnedMember: dateMember, groupField: 'grp' },
]; { statuses: gStatuses, animals: gAnimals, dailyTemplate: [] });
const m = buildMatrix(statuses, animals, totalParam); expect(m.corner).toBe('Subject');
expect(m.rows[0].values).toEqual([7, '']); expect(m.context).toEqual({ label: 'Date', value: '2026-07-01' });
expect(m.groupAxis).toBe('row');
expect(m.rows.map((r) => [r.member.group, r.member.label])).toEqual([['Control', 'Alpha'], ['Drug', 'Beta']]);
// columns are parameters (Total attempts, Success rate); Alpha on 07-01: total 5, rate 0.5
const totalCol = m.columns.findIndex((c) => c.label === 'Total attempts');
expect(m.rows[0].values[totalCol]).toBe(5);
}); });
it('returns empty rows when no status has a value', () => {
const m = buildMatrix([{ animal_id: 'a1', date: '2026-07-01T00:00:00.000Z', analysis_summary: null }], animals, totalParam); it('drops blank parameter columns (params always dropped when empty)', () => {
expect(m.rows).toEqual([]); // dailyTemplate adds a custom field with no data anywhere -> its column drops
expect(m.columns.length).toBe(2); const dailyTemplate = [{ fieldId: 'c-x', key: 'x', label: 'X', builtin: false, active: true }];
const dateMember = { id: '2026-07-01', label: '2026-07-01', dateKey: '2026-07-01' };
const m = buildMatrix({ rowDim: 'subject', colDim: 'parameter', pinnedMember: dateMember, groupField: '__none__' },
{ statuses: gStatuses, animals: gAnimals, dailyTemplate });
expect(m.columns.map((c) => c.label)).not.toContain('X');
}); });
}); });