feat(stammbaum): seed layout rank from imported generation (#689)

buildLayout switches to a two-stage assignment:

1. Seed — every node with node.generation != null is locked at that
   rank. The fallback heuristic never moves a locked rank, and the
   spouse-pulldown never pulls a locked rank.
2. Fallback — for unseeded nodes, rank = max(parent rank) + 1 reading
   parents from the same unified rank map, so an unseeded child of a
   seeded G 2 parent correctly inherits rank 3. Spouse-pulldown ties
   unseeded spouses to their deeper partner exactly as before.
3. Normalise — if any rank is negative (future G −1 ancestor), shift
   the whole map so min(rank) == 0. No-op for today's data.

Fixes the Herbert Cram pattern from #361's review: two parented
spouses with imported G 3 now render on the same y row. Existing
StammbaumTree tests still pass byte-for-byte because every test node
has node.generation undefined, so the heuristic runs unchanged.

Refs #689

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-05-28 15:43:58 +02:00
parent c93d3b03ed
commit cb8c85a742
2 changed files with 155 additions and 20 deletions

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@@ -0,0 +1,113 @@
import { describe, it, expect } from 'vitest';
import { buildLayout, NODE_H, ROW_GAP } from './buildLayout';
import type { components } from '$lib/generated/api';
type PersonNodeDTO = components['schemas']['PersonNodeDTO'];
type RelationshipDTO = components['schemas']['RelationshipDTO'];
const PARENT = '00000000-0000-0000-0000-000000000001';
const CHILD = '00000000-0000-0000-0000-000000000002';
const SPOUSE_A = '00000000-0000-0000-0000-000000000003';
const SPOUSE_B = '00000000-0000-0000-0000-000000000004';
const NEGATIVE_A = '00000000-0000-0000-0000-000000000005';
const NEGATIVE_B = '00000000-0000-0000-0000-000000000006';
const NEGATIVE_C = '00000000-0000-0000-0000-000000000007';
function node(id: string, displayName: string, generation: number | null = null): PersonNodeDTO {
return generation == null
? { id, displayName, familyMember: true }
: { id, displayName, familyMember: true, generation };
}
function parentEdge(parentId: string, childId: string, id = parentId + childId): RelationshipDTO {
return {
id,
personId: parentId,
relatedPersonId: childId,
personDisplayName: '',
relatedPersonDisplayName: '',
relationType: 'PARENT_OF'
};
}
function spouseEdge(a: string, b: string, id = a + b): RelationshipDTO {
return {
id,
personId: a,
relatedPersonId: b,
personDisplayName: '',
relatedPersonDisplayName: '',
relationType: 'SPOUSE_OF'
};
}
function yOf(layout: ReturnType<typeof buildLayout>, id: string): number {
const p = layout.positions.get(id);
if (!p) throw new Error(`No position for ${id}`);
return p.y;
}
describe('buildLayout — generation seeding (#689)', () => {
it('Herbert Cram regression: two parented G=3 spouses share the same row', () => {
// Both Herbert (G 3) and Clara (G 3) are parented children of their respective
// G 2 ancestors. They are spouses. Before #689 the iterative longest-path put
// Herbert one row deeper than Clara via the spouse-pulldown of his loose parent.
// With imported generation as a strict seed both render at the same y.
const layout = buildLayout(
[node(SPOUSE_A, 'Herbert', 3), node(SPOUSE_B, 'Clara', 3)],
[spouseEdge(SPOUSE_A, SPOUSE_B)]
);
expect(yOf(layout, SPOUSE_A)).toBe(yOf(layout, SPOUSE_B));
});
it('strict-seed override: imported generation pins rank even when parent edges imply deeper', () => {
// PARENT has no explicit generation → falls back to 0. CHILD is parented under
// PARENT but has imported generation = 3. The seeded rank wins; the heuristic
// must not push CHILD to rank 1.
const layout = buildLayout(
[node(PARENT, 'Parent'), node(CHILD, 'Child', 3)],
[parentEdge(PARENT, CHILD)]
);
expect(yOf(layout, CHILD)).toBe(3 * (NODE_H + ROW_GAP));
});
it('fallback inherits seeded parent rank: G 2 parent → null-gen child lands at rank 3', () => {
// CHILD has no imported generation. PARENT has generation = 2. The fallback
// reads PARENT's rank from the unified rank map (2) and computes 2 + 1 = 3.
const layout = buildLayout(
[node(PARENT, 'Parent', 2), node(CHILD, 'Child')],
[parentEdge(PARENT, CHILD)]
);
expect(yOf(layout, CHILD)).toBe(3 * (NODE_H + ROW_GAP));
});
it('normalise is a no-op when all ranks are non-negative', () => {
// Seeded ranks [3, 4, 5] → y must reflect [3, 4, 5] without any shift.
const G3 = '00000000-0000-0000-0000-000000000031';
const G4 = '00000000-0000-0000-0000-000000000032';
const G5 = '00000000-0000-0000-0000-000000000033';
const layout = buildLayout(
[node(G3, 'three', 3), node(G4, 'four', 4), node(G5, 'five', 5)],
[]
);
expect(yOf(layout, G3)).toBe(3 * (NODE_H + ROW_GAP));
expect(yOf(layout, G4)).toBe(4 * (NODE_H + ROW_GAP));
expect(yOf(layout, G5)).toBe(5 * (NODE_H + ROW_GAP));
});
it('normalise shifts negative seeds so min rank becomes 0', () => {
// Seeded ranks [-1, 0, 1] → after shift they render at [0, 1, 2] y-rows.
const layout = buildLayout(
[node(NEGATIVE_A, 'minus-one', -1), node(NEGATIVE_B, 'zero', 0), node(NEGATIVE_C, 'one', 1)],
[]
);
expect(yOf(layout, NEGATIVE_A)).toBe(0);
expect(yOf(layout, NEGATIVE_B)).toBe(1 * (NODE_H + ROW_GAP));
expect(yOf(layout, NEGATIVE_C)).toBe(2 * (NODE_H + ROW_GAP));
});
});

View File

@@ -38,49 +38,71 @@ export function buildLayout(allNodes: PersonNodeDTO[], allEdges: RelationshipDTO
}
}
// Iterative longest-path generation assignment.
// Two-stage rank assignment (#689):
//
// Each node's generation = max(parent generations) + 1 (roots stay at 0).
// Then spouses are pulled to share the deeper generation. Pulling a spouse
// down can shift their own descendants, so we iterate until stable rather
// than running BFS once like the previous implementation (which left
// e.g. a child of a "later-pulled" spouse stranded one row too high).
const generation = new Map<string, number>();
for (const n of allNodes) generation.set(n.id, 0);
// 1. Seed: every node with imported generation is locked at that rank.
// The fallback heuristic never moves a locked rank, and spouse-pulldown
// never pulls a locked rank.
// 2. Fallback: for the remaining (unseeded) nodes, rank = max(parent rank)
// + 1, reading parent rank from the same unified map so an unseeded
// child of a seeded G 2 parent correctly inherits rank 3. Spouse-
// pulldown ties unseeded spouses to their deeper partner.
// 3. Normalise: if any seeded rank is negative (a future G 1 ancestor),
// shift the entire map so min(rank) == 0. No-op fast path covers
// today's data.
const rank = new Map<string, number>();
const locked = new Set<string>();
for (const n of allNodes) {
if (n.generation != null) {
rank.set(n.id, n.generation);
locked.add(n.id);
} else {
rank.set(n.id, 0);
}
}
const maxIters = allNodes.length + 4;
for (let it = 0; it < maxIters; it++) {
let changed = false;
for (const n of allNodes) {
if (locked.has(n.id)) continue;
const parents = childToParents.get(n.id) ?? [];
if (parents.length === 0) continue;
let maxParentGen = -1;
let maxParentRank = -Infinity;
for (const pid of parents) {
maxParentGen = Math.max(maxParentGen, generation.get(pid) ?? 0);
maxParentRank = Math.max(maxParentRank, rank.get(pid) ?? 0);
}
const newGen = maxParentGen + 1;
if ((generation.get(n.id) ?? 0) < newGen) {
generation.set(n.id, newGen);
const newRank = maxParentRank + 1;
if ((rank.get(n.id) ?? 0) < newRank) {
rank.set(n.id, newRank);
changed = true;
}
}
for (const [a, b] of spousePairs) {
const m = Math.max(generation.get(a) ?? 0, generation.get(b) ?? 0);
if ((generation.get(a) ?? 0) < m) {
generation.set(a, m);
const ra = rank.get(a) ?? 0;
const rb = rank.get(b) ?? 0;
const m = Math.max(ra, rb);
if (!locked.has(a) && ra < m) {
rank.set(a, m);
changed = true;
}
if ((generation.get(b) ?? 0) < m) {
generation.set(b, m);
if (!locked.has(b) && rb < m) {
rank.set(b, m);
changed = true;
}
}
if (!changed) break;
}
let minRank = Infinity;
for (const r of rank.values()) minRank = Math.min(minRank, r);
if (minRank < 0) {
const shift = -minRank;
for (const [id, r] of rank) rank.set(id, r + shift);
}
// Group by generation, then sort within generation by display name.
// Group by rank, then sort within rank by display name.
const generations = new Map<number, string[]>();
for (const n of allNodes) {
const g = generation.get(n.id) ?? 0;
const g = rank.get(n.id) ?? 0;
if (!generations.has(g)) generations.set(g, []);
generations.get(g)!.push(n.id);
}