feat(memory-v2): close Phase A with auto-review, product events, and H5 recall UI.

Add candidate auto-review pipeline, shadow audit tooling, admin metrics page, and user-visible memory recall hints in chat with phase-a readiness checks. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-01 17:14:06 +08:00
parent 666db0b939
commit 6f3e53a56a
50 changed files with 3730 additions and 38 deletions
@@ -0,0 +1,101 @@
+import assert from 'node:assert/strict';
+import test from 'node:test';
+import {
+  auditMemoryV2Shadow,
+  detectFalseStoreCandidate,
+  formatMemoryV2ShadowAuditReport,
+  parseSinceArg,
+} from './memory-v2-shadow-audit.mjs';
+
+test('parseSinceArg supports hour/day/week windows', () => {
+  const now = Date.parse('2026-07-31T12:00:00.000Z');
+  assert.equal(parseSinceArg('24h', now).sinceMs, now - 86400000);
+  assert.equal(parseSinceArg('7d', now).sinceMs, now - 7 * 86400000);
+  assert.equal(parseSinceArg('2w', now).sinceMs, now - 14 * 86400000);
+});
+
+test('detectFalseStoreCandidate flags questions and routing leaks', () => {
+  assert.equal(detectFalseStoreCandidate('SSE 是什么？').suspicious, true);
+  assert.equal(detectFalseStoreCandidate('请记住我每周三做代码评审').suspicious, false);
+  assert.equal(
+    detectFalseStoreCandidate('[Memory Context] 旧记忆').code,
+    'routing_leak',
+  );
+});
+
+test('auditMemoryV2Shadow summarizes candidates and pgvector lag', () => {
+  const nowMs = Date.parse('2026-07-31T12:00:00.000Z');
+  const sinceMs = nowMs - 7 * 86400000;
+  const report = auditMemoryV2Shadow({
+    sinceMs,
+    nowMs,
+    candidates: [
+      {
+        id: 'c1',
+        user_id: 'u1',
+        memory_type: 'episodic',
+        content: '请记住我每周三下午做代码评审',
+        status: 'accepted',
+        policy_reason: 'explicit_memory_request',
+        confidence: 0.98,
+        importance: 0.95,
+        created_at: sinceMs + 1000,
+        updated_at: sinceMs + 1000,
+      },
+      {
+        id: 'c2',
+        user_id: 'u1',
+        memory_type: 'semantic',
+        content: 'SSE 是什么？',
+        status: 'candidate',
+        policy_reason: 'stable_fact_signal',
+        confidence: 0.82,
+        importance: 0.75,
+        created_at: sinceMs + 2000,
+        updated_at: sinceMs + 2000,
+      },
+    ],
+    memoryItems: [
+      {
+        id: 'm1',
+        user_id: 'u1',
+        label: 'fact',
+        memory_text: '每周三下午做代码评审',
+        status: 'active',
+        created_at: sinceMs + 3000,
+        updated_at: sinceMs + 3000,
+      },
+      {
+        id: 'm2',
+        user_id: 'u2',
+        label: 'fact',
+        memory_text: '使用 pgvector 做语义检索',
+        status: 'active',
+        created_at: sinceMs + 4000,
+        updated_at: sinceMs + 4000,
+      },
+    ],
+    pgvectorMemoryIds: new Set(['m1']),
+    pgvectorConfigured: true,
+    agentMemoryEvents: [
+      {
+        event_type: 'agent_memory_resolved',
+        created_at: sinceMs + 5000,
+        data_json: { count: 2 },
+      },
+      {
+        event_type: 'agent_memory_resolved',
+        created_at: sinceMs + 6000,
+        data_json: { count: 0 },
+      },
+    ],
+  });
+
+  assert.equal(report.window.candidateCount, 2);
+  assert.equal(report.summary.suspiciousCandidateCount, 1);
+  assert.equal(report.pgvectorLagUsers.length, 1);
+  assert.equal(report.pgvectorLagUsers[0].userId, 'u2');
+  assert.equal(report.summary.resolveHitRate, 0.5);
+  assert.equal(report.ok, false);
+  assert.match(formatMemoryV2ShadowAuditReport(report), /pgvector lag users/);
+});