Merge pull request #6 from karti-ai/feat/live-graph-glue

feat(graph): live Team memory graph from real Mongo data
This commit is contained in:
sb-iam
2026-06-27 22:02:05 -07:00
committed by GitHub
6 changed files with 617 additions and 217 deletions
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import type {
PodGraph,
PodGraphNode,
PodGraphEdge,
PodGraphMetric,
PodGraphNodeKind,
PodGraphEdgeKind,
PodGraphNodeStatus,
} from '@podman/shared';
import { collections, getGitStates, getDb } from '../memory/db.js';
/**
* Live materializer: build a pod's continual-learning graph from the real
* collections the agent writes (pods, engineer_states, observations, collisions,
* interventions, outcomes) — NOT the hardcoded demo. See docs/live-ui-spec.md §1.
*
* Pure-read and best-effort. Returns `null` when there is no real activity yet
* (only bare roster), so `loadPodGraph` can fall back to the demo graph.
*/
const ACTIVE_WINDOW_MS = 90_000;
const MAX_OBSERVATIONS = 250;
/** Strip a `git status --short` XY code (and rename `old -> new`) to a clean path. */
export function parseGitStatusPath(line: string): string {
let s = line.trim();
const arrow = s.indexOf(' -> ');
if (arrow !== -1) s = s.slice(arrow + 4);
else s = s.replace(/^[ACDMRTU?!]{1,2}\s+/, '');
return normalizeFile(s);
}
/** Normalize a file path so vision (`collisions.file`) and git paths match. */
export function normalizeFile(f: string): string {
return f
.trim()
.replace(/^["']|["']$/g, '')
.replace(/^[ACDMRTU?!]{1,2}\s+/, '')
.replace(/^\.\//, '');
}
const MAX_COLLISIONS = 8;
/** Reject "file" values that aren't real source paths — vision/git noise such as
* URLs, env vars, browser/app names, and scratch/test artifacts. */
const FILE_NOISE =
/(:\/\/|^[#~]|\s|\.env\b|\btett\b|test-change|demo-scratch|podman-test|scratch|sslip)/i;
export function isFilePath(f: string): boolean {
if (!f || FILE_NOISE.test(f)) return false;
return /\.[a-z0-9]{1,6}$/i.test(f); // must end in a real file extension
}
/** Engineer names that are test/verification artifacts, not real teammates. */
const ENGINEER_NOISE = /(^verify\b|^.$|testrepo|-?check\b|\d{4,})/i;
const STATUS_RANK: Record<PodGraphNodeStatus, number> = {
stable: 0,
active: 1,
learned: 2,
risk: 3,
};
interface Builder {
nodes: Map<string, PodGraphNode>;
edges: Map<string, PodGraphEdge>;
}
function nodeKey(kind: PodGraphNodeKind, key: string): string {
return `${kind}:${key}`;
}
function upsertNode(
b: Builder,
kind: PodGraphNodeKind,
key: string,
patch: Partial<Omit<PodGraphNode, 'id' | 'kind' | 'x' | 'y'>>,
): string {
const id = nodeKey(kind, kind === 'engineer' ? key.toLowerCase() : key);
const cur = b.nodes.get(id);
if (!cur) {
b.nodes.set(id, {
id,
kind,
label: patch.label ?? key,
summary: patch.summary ?? '',
weight: patch.weight ?? 0.6,
status: patch.status ?? 'stable',
x: 0,
y: 0,
});
return id;
}
if (patch.label) cur.label = patch.label;
if (patch.summary) cur.summary = patch.summary;
if (patch.weight && patch.weight > cur.weight) cur.weight = patch.weight;
if (patch.status && STATUS_RANK[patch.status] > STATUS_RANK[cur.status])
cur.status = patch.status;
return id;
}
function upsertEdge(
b: Builder,
source: string,
target: string,
kind: PodGraphEdgeKind,
label: string,
strength: number,
): void {
const id = `${kind}:${source}->${target}`;
const cur = b.edges.get(id);
if (!cur) b.edges.set(id, { id, source, target, kind, label, strength });
else if (strength > cur.strength) cur.strength = strength;
}
const COLUMN_X: Record<PodGraphNodeKind, number> = {
engineer: 78,
file: 300,
feature: 360,
collision: 470,
intervention: 622,
};
/** Deterministic column layout so the SVG renders stably across refreshes. */
function layout(nodes: PodGraphNode[]): void {
const byKind = new Map<PodGraphNodeKind, PodGraphNode[]>();
for (const n of nodes) {
const list = byKind.get(n.kind) ?? [];
list.push(n);
byKind.set(n.kind, list);
}
for (const [kind, list] of byKind) {
list.sort((a, b) => a.id.localeCompare(b.id));
const n = list.length;
list.forEach((node, i) => {
node.x = COLUMN_X[kind];
node.y = Math.round(((i + 1) / (n + 1)) * 452) + 10;
});
}
}
const SEVERITY_WEIGHT: Record<string, number> = { info: 0.4, warn: 0.7, critical: 1 };
export async function materializePodGraph(podId: string): Promise<PodGraph | null> {
const c = await collections();
const db = await getDb();
const [pod, observations, collisionDocs, interventionDocs, outcomeDocs, gitStates] =
await Promise.all([
c.pods.findOne({ id: podId }),
c.observations.find({ podId }).sort({ observedAt: -1 }).limit(MAX_OBSERVATIONS).toArray(),
c.collisions.find({ podId }).sort({ detectedAt: -1 }).limit(100).toArray(),
c.interventions.find({ podId }).toArray(),
c.outcomes.find({ podId }).toArray(),
getGitStates(podId),
]);
// Optional supervised ownership map (team_model.ownership: file -> engineer).
let ownership: Record<string, string> = {};
try {
const tm = await db
.collection<{ podId: string; ownership?: Record<string, string> }>('team_model')
.findOne({ podId });
ownership = tm?.ownership ?? {};
} catch {
/* ownership is optional */
}
const b: Builder = { nodes: new Map(), edges: new Map() };
const now = Date.now();
// 1. Baseline engineer nodes from the roster.
for (const name of pod?.members ?? []) {
upsertNode(b, 'engineer', name, { label: name });
}
// 2. Vision (observations): who is active and on which file, with confidence.
for (const o of observations) {
if (!o.engineerId) continue;
const recent = o.observedAt && now - new Date(o.observedAt).getTime() < ACTIVE_WINDOW_MS;
const eng = upsertNode(b, 'engineer', o.engineerId, {
label: o.engineerId,
status: recent ? 'active' : undefined,
});
const file = o.currentFile ? normalizeFile(o.currentFile) : '';
if (isFilePath(file)) {
const f = upsertNode(b, 'file', file, { label: file });
upsertEdge(b, eng, f, 'editing', o.activity ?? 'edits', Math.max(0.4, o.confidence ?? 0.5));
}
}
// Collisions referenced by accepted outcomes are the "learned" money path — they
// always survive the cap so the learned_from beat is never dropped.
const priorityCol = new Set<string>();
for (const out of outcomeDocs) {
if (!out.accepted || !out.wasRealCollision) continue;
if (out.collisionId) priorityCol.add(out.collisionId);
const iv = interventionDocs.find((i) => i.id === out.interventionId);
if (iv?.collisionId) priorityCol.add(iv.collisionId);
}
// 3. Collisions: collapse repeats by signature, keep the most recent, cap to
// MAX_COLLISIONS, skip junk-file collisions. `collisionById` keeps every doc
// (for the outcome join); `colNodeFor` maps each collisionId to its surviving
// collision node (or null when collapsed / capped / filtered out).
const collisionById = new Map<string, (typeof collisionDocs)[number]>();
const colNodeFor = new Map<string, string | null>();
const sigToNode = new Map<string, string>();
let distinctCollisions = 0;
for (const col of collisionDocs) {
collisionById.set(col.id, col);
const file = normalizeFile(col.file);
const sig =
(col as { memorySignature?: string }).memorySignature ?? `${file}#${col.symbol ?? ''}`;
const existing = sigToNode.get(sig);
if (existing) {
colNodeFor.set(col.id, existing);
continue;
}
if (!isFilePath(file)) {
colNodeFor.set(col.id, null);
continue;
}
const isPriority = priorityCol.has(col.id);
if (!isPriority && distinctCollisions >= MAX_COLLISIONS) {
colNodeFor.set(col.id, null);
continue;
}
const cNode = upsertNode(b, 'collision', col.id, {
label: col.symbol ? `${file}#${col.symbol}` : file,
status: 'risk',
weight: SEVERITY_WEIGHT[col.severity] ?? 0.7,
summary: `${col.engineers.join(' + ')} on ${file}${
(col as { memorySignature?: string }).memorySignature ? ' · seen before' : ''
}`,
});
const fNode = upsertNode(b, 'file', file, { label: file, status: 'risk' });
upsertEdge(b, fNode, cNode, 'touches', 'hot', 0.6);
for (const name of col.engineers) {
const eng = upsertNode(b, 'engineer', name, { label: name });
upsertEdge(b, eng, cNode, 'collides', 'in', SEVERITY_WEIGHT[col.severity] ?? 0.7);
}
sigToNode.set(sig, cNode);
colNodeFor.set(col.id, cNode);
if (!isPriority) distinctCollisions++;
}
// 4. Git truth (engineer_states): mark unpushed work and confirm editing on
// files vision/collisions already surfaced — not the whole repo diff.
for (const [name, git] of gitStates) {
const files = git.changedFiles.map(parseGitStatusPath).filter(Boolean);
const eng = upsertNode(b, 'engineer', name, {
label: name,
status: files.length > 0 ? 'risk' : 'active',
summary: files.length
? `${files.length} changed file(s) on ${git.branch ?? 'detached'}`
: `on ${git.branch ?? 'detached'}`,
weight: 0.7,
});
for (const file of files) {
const fid = nodeKey('file', file);
if (b.nodes.has(fid)) upsertEdge(b, eng, fid, 'editing', 'edits', 0.6);
}
}
// 5. Interventions: collapse to one (most recent) per surviving collision.
const interventionById = new Map<string, (typeof interventionDocs)[number]>();
const ivNodeForCol = new Map<string, string>();
const sortedIvs = [...interventionDocs].sort((a, b) =>
String(b.createdAt ?? '').localeCompare(String(a.createdAt ?? '')),
);
for (const iv of sortedIvs) {
interventionById.set(iv.id, iv);
const colNode = colNodeFor.get(iv.collisionId);
if (!colNode || ivNodeForCol.has(colNode)) continue;
const ivNode = upsertNode(b, 'intervention', iv.id, {
label:
iv.suggestedAction?.kind === 'open_sync_pr'
? 'sync PR'
: iv.suggestedAction?.kind === 'ping_teammate'
? 'ping'
: 'watch',
summary: iv.message,
});
upsertEdge(b, colNode, ivNode, 'warns', 'nudges', 0.85);
ivNodeForCol.set(colNode, ivNode);
}
// 6. Outcomes: the supervised learning signal -> learned_from edges + owns.
for (const out of outcomeDocs) {
if (!out.accepted || !out.wasRealCollision) continue;
const iv = interventionById.get(out.interventionId);
const col = iv ? collisionById.get(iv.collisionId) : collisionById.get(out.collisionId);
if (!col) continue;
const file = normalizeFile(col.file);
if (!isFilePath(file)) continue;
const owner =
(out as { learnedOwner?: string }).learnedOwner ?? ownership[file] ?? col.engineers[0];
if (!owner) continue;
const engNode = upsertNode(b, 'engineer', owner, { label: owner, status: 'learned' });
const fNode = upsertNode(b, 'file', file, { label: file });
upsertEdge(b, engNode, fNode, 'owns', 'owns', 0.85);
const cNode = colNodeFor.get(col.id);
const ivNode = cNode ? ivNodeForCol.get(cNode) : undefined;
if (ivNode) {
const ivObj = b.nodes.get(ivNode);
if (ivObj) ivObj.status = 'learned';
upsertEdge(b, ivNode, engNode, 'learned_from', `learned: owns ${file}`, 0.6);
}
}
// Prune test-artifact engineers, then anything left orphaned by that.
const dropNode = (id: string) => {
b.nodes.delete(id);
for (const [eid, e] of [...b.edges])
if (e.source === id || e.target === id) b.edges.delete(eid);
};
for (const [id, n] of [...b.nodes]) {
if (n.kind === 'engineer' && ENGINEER_NOISE.test(n.label)) dropNode(id);
}
// Collisions with no remaining engineer = test/orphan -> drop.
for (const [id, n] of [...b.nodes]) {
if (n.kind !== 'collision') continue;
if (![...b.edges.values()].some((e) => e.kind === 'collides' && e.target === id)) dropNode(id);
}
// Files / interventions left with no edges -> drop.
for (const [id, n] of [...b.nodes]) {
if (n.kind === 'file' || n.kind === 'intervention') {
if (![...b.edges.values()].some((e) => e.source === id || e.target === id))
b.nodes.delete(id);
}
}
const nodes = [...b.nodes.values()];
// No real activity beyond the bare roster -> let the caller fall back to demo.
const hasActivity = nodes.some((n) => n.kind !== 'engineer');
if (!hasActivity) return null;
layout(nodes);
const acceptedReal = outcomeDocs.filter((o) => o.accepted && o.wasRealCollision).length;
const totalOutcomes = outcomeDocs.length;
const riskPaths = new Set(
collisionDocs.map(
(col) =>
(col as { memorySignature?: string }).memorySignature ??
`${normalizeFile(col.file)}#${col.symbol ?? ''}`,
),
).size;
const metrics: PodGraphMetric[] = [
{
label: 'Learned owners',
value: String(acceptedReal),
detail: 'Ownership retained from accepted interventions.',
},
{
label: 'Open risk paths',
value: String(riskPaths),
detail: 'Files with two or more converging editors.',
},
{
label: 'Accept rate',
value: totalOutcomes ? `${Math.round((acceptedReal / totalOutcomes) * 100)}%` : '—',
detail: 'Interventions accepted this session.',
},
];
return {
podId,
generatedAt: new Date().toISOString(),
nodes,
edges: [...b.edges.values()],
metrics,
};
}
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import type { PodGraph, GraphNodeDoc, GraphEdgeDoc } from '@podman/shared';
import { getDb } from '../memory/db.js';
import { createDemoPodGraph } from './demo.js';
import { materializePodGraph } from './live.js';
interface TeamModelDoc {
podId: string;
@@ -14,6 +15,14 @@ interface TeamModelDoc {
* unreachable — so the demo path never depends on a populated DB.
*/
export async function loadPodGraph(podId: string): Promise<PodGraph> {
// 1. Live: materialize from the real collections (observations/collisions/…).
try {
const live = await materializePodGraph(podId);
if (live) return live;
} catch (err) {
console.warn(`[graph] live materialize failed, falling back: ${(err as Error).message}`);
}
// 2. Seeded snapshot embedded in team_model.
try {
const db = await getDb();
const doc = await db.collection<TeamModelDoc>('team_model').findOne({ podId });
@@ -21,6 +30,7 @@ export async function loadPodGraph(podId: string): Promise<PodGraph> {
} catch (err) {
console.warn(`[graph] loadPodGraph fell back to demo: ${(err as Error).message}`);
}
// 3. Demo (stage safety — never an empty canvas).
return createDemoPodGraph(podId);
}