Add Experience V1 schema migration and agent-run completion extractor.
Extend h5_experience with structured fields, wire mindspace-agent-runner and agent-run-gateway to persist task_outcome records with provenance, and add local migration and verification scripts. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -17,6 +17,16 @@ function createMockPool() {
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tagsJson,
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sourceSessionId,
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sourceUserId,
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problem,
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environmentJson,
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hypothesis,
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actionJson,
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result,
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confidence,
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evidenceJson,
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parentExperienceId,
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supersedesId,
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status,
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createdAt,
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updatedAt,
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] = params;
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@@ -30,6 +40,16 @@ function createMockPool() {
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source_session_id: sourceSessionId,
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source_user_id: sourceUserId,
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use_count: 0,
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problem,
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environment_json: environmentJson,
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hypothesis,
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action_json: actionJson,
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result,
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confidence,
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evidence_json: evidenceJson,
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parent_experience_id: parentExperienceId,
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supersedes_id: supersedesId,
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status,
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created_at: createdAt,
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updated_at: updatedAt,
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});
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@@ -38,7 +58,7 @@ function createMockPool() {
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if (sql.includes('FROM h5_experience') && sql.includes('WHERE scope = ?')) {
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const [scope] = params;
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const matched = rows
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.filter((r) => r.scope === scope)
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.filter((r) => r.scope === scope && r.status === 'active')
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.sort((a, b) => b.updated_at - a.updated_at);
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return [matched.map((r) => ({ ...r }))];
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}
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@@ -67,6 +87,28 @@ test('record persists an experience with normalized fields', async () => {
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assert.equal(saved.kind, 'lesson');
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assert.deepEqual(saved.tags, ['headscale', '网络']);
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assert.equal(saved.useCount, 0);
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assert.equal(saved.status, 'active');
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});
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test('record persists V1 structured fields', async () => {
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const { pool } = createMockPool();
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const svc = createExperienceService(pool, { now: () => 2000 });
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const saved = await svc.record({
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kind: 'task_outcome',
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title: 'SSE 断线恢复',
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body: 'Portal replay 需映射 Goose Last-Event-ID',
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problem: 'H5 SSE 断线后消息丢失',
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environment: { runtime: 'portal', components: ['goose', 'sse'] },
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action: { executor: 'goose', steps: ['replay'] },
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result: 'success',
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confidence: 0.85,
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evidence: { sources: [{ source_id: 'job:abc', source_type: 'agent_job' }] },
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});
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assert.equal(saved.kind, 'task_outcome');
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assert.equal(saved.problem, 'H5 SSE 断线后消息丢失');
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assert.deepEqual(saved.environment, { runtime: 'portal', components: ['goose', 'sse'] });
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assert.equal(saved.result, 'success');
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assert.equal(saved.confidence, 0.85);
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});
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test('record rejects empty title or body', async () => {
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@@ -89,6 +131,28 @@ test('search ranks keyword matches and ignores empty queries', async () => {
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assert.equal(hits[0].title, 'Headscale 部署');
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});
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test('search matches problem and environment haystack', async () => {
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const { pool } = createMockPool();
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const svc = createExperienceService(pool, { now: () => 3000 });
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await svc.record({
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title: '通用标题',
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body: '正文不含关键词',
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problem: 'MemFuse recall 排序偏低',
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environment: { runtime: 'memory-v2-pgvector' },
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});
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const hits = await svc.search('memfuse recall');
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assert.equal(hits.length, 1);
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assert.equal(hits[0].problem, 'MemFuse recall 排序偏低');
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});
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test('search excludes non-active rows', async () => {
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const { pool } = createMockPool();
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const svc = createExperienceService(pool, { now: () => 4000 });
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await svc.record({ title: '已归档', body: 'archived keyword match', status: 'archived' });
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const hits = await svc.search('archived keyword');
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assert.equal(hits.length, 0);
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});
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test('search applies recency decay so newer wins on equal keyword score', async () => {
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const { pool } = createMockPool();
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let clock = 0;
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@@ -98,7 +162,7 @@ test('search applies recency decay so newer wins on equal keyword score', async
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});
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clock = 0;
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await svc.record({ title: '部署指南 A', body: 'deploy 部署 指南' });
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clock = 10_000; // 10 half-lives newer
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clock = 10_000;
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await svc.record({ title: '部署指南 B', body: 'deploy 部署 指南' });
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clock = 10_000;
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const hits = await svc.search('部署 deploy 指南', { limit: 2 });
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