Files
Arcrun/kbdb/tests/search-deprecated-filter.test.ts
T
uncle6me-web 55283f4a3b fix(kbdb): /entries/search 服務端濾 deprecated(keyword+semantic),修下架不生效
daemon-beta t24(t11 斷點①②,總管 0.971 親復現):rag_takedown_direct 下架只把
metadata_json.status 標 deprecated(軟刪,append-only),但 /entries/search 兩 mode
都不濾,已下架內容照樣回傳——semantic 甚至最高分照吐。過去唯一的濾層只在
cypher-executor/portal-data.ts 客端(Arcrun#46),沒部署 rag_chat 的實例等於完全沒濾。

- entry-crud.ts:新增 json_extract($.status) NOT_DEPRECATED_PREDICATE(同 source/library
  既有 json_extract 模式,issue #5.1/#18;不用 LIKE 避免 JSON 序列化格式誤判);
  searchEntries 新增 includeDeprecated 參數(尾端新增,向後相容)。
  新增 isDeprecatedEntry:semantic 路徑用(Vectorize metadata 沒存 status,只能 hydrate
  回完整 entry 後 JS 側判斷)。
- entries.ts:/entries/search 新增 include_deprecated 開關(預設 false,濾掉;true 給
  管理面查殘留)。semantic 分支補位——過濾生效時先以 topK×3(封頂 100)向 Vectorize
  多撈,hydrate+濾完再截斷回 caller 要求的量,避免命中大半下架時整頁被吃光
  (t11 ZZ-T10 實測案例)。
- Vectorize 向量殘留本 PR 不動(只做查詢時過濾,not 同步刪向量)——取捨見 PR 描述。

測試:新增 search-deprecated-filter.test.ts 15 案(keyword 濾/include_deprecated 開關/
semantic 濾+補位+封頂+截斷/isDeprecatedEntry 單元);同步更新 search-source-and-score.test.ts
3 案的 topK 期望值(route 補位改變送進 Vectorize 的實際 topK,回應對外契約不變)。
kbdb 全套 60/60 綠、tsc --noEmit 乾淨。

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-02 23:18:36 +08:00

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// daemon-beta t24(總管 0.971 親復現、t11 斷點①②)——/entries/search 服務端濾 deprecated。
// 背景:rag_takedown_direct 下架只把 metadata_json.status 標 'deprecated'(軟刪,append-only
// KBDB 表不變鐵律),從不砍列、也不刪 Vectorize 向量。過去唯一的濾層在
// cypher-executor/src/routes/portal-data.ts(客端治標,Arcrun#46),沒部署 rag_chat 的實例
// (如 leo21c)等於完全沒濾——MCP/raw /entries/search 直接把已下架內容當現役吐出。semantic
// 甚至最高分照吐(t11 實測 0.971)。本測試覆蓋三案:keyword 濾、semantic 濾+補位、
// include_deprecated 開關。
//
// 測試手法同 search-source-and-score.test.tsfake D1 捕 SQL 形狀 + getEntry 依 id 回可控
// metadata_jsonmock VECTORIZE 捕 query opts(驗補位 topK)並回混合 active/deprecated 命中。
// 真 SQL 語意(json_extract 對 status 欄的實際判等)由本機 miniflare/wrangler d1 跑驗(PR 驗收證據)。
import { describe, it, expect } from 'vitest';
import { Hono } from 'hono';
import { entryRoutes } from '../src/routes/entries';
import { searchEntries, isDeprecatedEntry } from '../src/actions/entry-crud';
import type { Bindings, Entry } from '../src/types';
const NOT_DEPRECATED_PREDICATE =
"(json_extract(metadata_json, '$.status') IS NULL OR json_extract(metadata_json, '$.status') != 'deprecated')";
// ── fake D1:捕捉 prepared SQL 與 bound paramsgetEntrySELECT … WHERE id = ?)依 id 從
// ENTRY_META 查表回可控 metadata_json,讓 semantic hydrate 路徑能測到 deprecated 過濾 ──
interface Captured { sql: string; params: unknown[] }
function mkEntry(id: string, metadata_json: string | null): Entry {
return {
id, content: 'some content', entry_type: 'block', owner_id: 'tenant1', parent_id: null,
page_name: null, refs_json: '[]', tags_json: '[]', task_status: null, content_hash: null,
is_embedded: 0, confidence: null, metadata_json, created_at: 1, updated_at: 1,
};
}
function makeCaptureDB(captured: Captured[], entryMeta: Record<string, string | null> = {}) {
const prepare = (sql: string) => {
const rec: Captured = { sql, params: [] };
captured.push(rec);
const stmt = {
bind(...args: unknown[]) { rec.params = args; return stmt; },
async all<T>() { return { results: [] as T[] }; },
async first<T>() {
if (sql.includes('WHERE id = ?')) {
const id = String(rec.params[0]);
const meta = id in entryMeta ? entryMeta[id] : null;
return mkEntry(id, meta) as unknown as T;
}
return { total: 0, c: 0 } as unknown as T;
},
async run() { return { success: true }; },
};
return stmt;
};
return { prepare } as unknown as D1Database;
}
function makeApp(captured: Captured[], extraEnv: Record<string, unknown> = {}) {
const app = new Hono<{ Bindings: Bindings }>();
app.route('/entries', entryRoutes);
const env = { DB: makeCaptureDB(captured, (extraEnv._entryMeta as Record<string, string | null>) ?? {}), ENVIRONMENT: 'test', ...extraEnv } as unknown as Bindings;
return { app, env };
}
// ══ 案①:keyword 濾 ══════════════════════════════════════════════════════
describe('t24 案① — searchEntrieskeyword)預設濾 deprecated', () => {
it('預設(不帶 includeDeprecated)→ SQL 含 NOT_DEPRECATED_PREDICATE', async () => {
const captured: Captured[] = [];
await searchEntries(makeCaptureDB(captured), '靛藍', 'tenant1');
expect(captured[0].sql).toContain(NOT_DEPRECATED_PREDICATE);
});
it('includeDeprecated=true → SQL 不含濾 deprecated 謂詞(管理面查殘留用)', async () => {
const captured: Captured[] = [];
await searchEntries(makeCaptureDB(captured), '靛藍', 'tenant1', undefined, undefined, undefined, undefined, true);
expect(captured[0].sql).not.toContain(NOT_DEPRECATED_PREDICATE);
});
it('route GET /entries/searchkeyword,不帶 include_deprecated)→ 濾謂詞下傳', async () => {
const captured: Captured[] = [];
const { app, env } = makeApp(captured);
const res = await app.request('/entries/search?q=靛藍', {}, env);
expect(res.status).toBe(200);
const body = (await res.json()) as { mode: string };
expect(body.mode).toBe('keyword');
expect(captured[0].sql).toContain(NOT_DEPRECATED_PREDICATE);
});
it('route GET /entries/search?include_deprecated=truekeyword)→ 濾謂詞不下傳', async () => {
const captured: Captured[] = [];
const { app, env } = makeApp(captured);
const res = await app.request('/entries/search?q=靛藍&include_deprecated=true', {}, env);
expect(res.status).toBe(200);
expect(captured[0].sql).not.toContain(NOT_DEPRECATED_PREDICATE);
});
it('semantic 模組未開+降級 keyword → 仍套濾(不因降級洩下架內容)', async () => {
const captured: Captured[] = [];
const { app, env } = makeApp(captured); // 無 VECTORIZE/AI → semanticSearch 回 null
const res = await app.request('/entries/search?q=靛藍&mode=semantic', {}, env);
expect(res.status).toBe(200);
const body = (await res.json()) as { mode: string };
expect(body.mode).toBe('keyword');
expect(captured[0].sql).toContain(NOT_DEPRECATED_PREDICATE);
});
it('semantic 模組未開+include_deprecated=true 降級 → 濾謂詞不下傳', async () => {
const captured: Captured[] = [];
const { app, env } = makeApp(captured);
const res = await app.request('/entries/search?q=靛藍&mode=semantic&include_deprecated=true', {}, env);
expect(res.status).toBe(200);
expect(captured[0].sql).not.toContain(NOT_DEPRECATED_PREDICATE);
});
});
// ══ isDeprecatedEntry 單元測試(JS 側判準,semantic 路徑用) ══════════════
describe('t24 — isDeprecatedEntryJS 側判準)', () => {
it('status:"deprecated" → true', () => {
expect(isDeprecatedEntry({ metadata_json: JSON.stringify({ status: 'deprecated' }) })).toBe(true);
});
it('status 缺欄 / null metadata_json / 空字串 → false(未下架,保留)', () => {
expect(isDeprecatedEntry({ metadata_json: JSON.stringify({ embed: true }) })).toBe(false);
expect(isDeprecatedEntry({ metadata_json: null })).toBe(false);
expect(isDeprecatedEntry({ metadata_json: '' })).toBe(false);
});
it('status 是其他值(非 deprecated)→ false', () => {
expect(isDeprecatedEntry({ metadata_json: JSON.stringify({ status: 'active' }) })).toBe(false);
});
it('metadata_json parse 失敗(壞 JSON)→ false(治標不誤殺)', () => {
expect(isDeprecatedEntry({ metadata_json: '{not valid json' })).toBe(false);
});
});
// ══ 案②:semantic 濾+補位 ═══════════════════════════════════════════════
// mock VECTORIZE:捕 query opts(驗補位 topK);命中組合可控(含 deprecated id 前綴 dep- 供辨識)。
function makeSemanticEnv(
queryCalls: { opts: Record<string, unknown> }[],
matches: { id: string; score: number }[],
) {
return {
AI: { async run() { return { data: [[0.1, 0.2, 0.3]] }; } },
VECTORIZE: {
async query(_vec: number[], opts: Record<string, unknown>) {
queryCalls.push({ opts });
return { matches: matches.map((m) => ({ id: m.id, score: m.score, metadata: {} })) };
},
async upsert(v: unknown[]) { return { count: (v as unknown[]).length }; },
},
};
}
describe('t24 案② — semantic 濾 deprecated 補位(t11 斷點②:0.971 最高分照吐的洞)', () => {
it('命中含已下架(最高分)→ 回應濾掉,只留現役(覆現 t11 0.971 復現案)', async () => {
const calls: { opts: Record<string, unknown> }[] = [];
const entryMeta = {
'dep-highest': JSON.stringify({ status: 'deprecated' }), // 0.971 最高分但已下架
'e-active': null,
};
const captured: Captured[] = [];
const { app, env } = makeApp(captured, {
...makeSemanticEnv(calls, [
{ id: 'dep-highest', score: 0.971 },
{ id: 'e-active', score: 0.6 },
]),
_entryMeta: entryMeta,
});
const res = await app.request('/entries/search?q=靛藍風鈴石的硬度&mode=semantic', {}, env);
expect(res.status).toBe(200);
const body = (await res.json()) as { mode: string; count: number; entries: (Entry & { score?: number })[] };
expect(body.mode).toBe('semantic');
expect(body.entries.map((e) => e.id)).toEqual(['e-active']); // dep-highest 被濾掉
expect(body.count).toBe(1);
});
it('補位:預設過濾生效時,Vectorize 查詢的 topK 大於 caller 要求(避免整頁被下架品吃光)', async () => {
const calls: { opts: Record<string, unknown> }[] = [];
const captured: Captured[] = [];
const { app, env } = makeApp(captured, makeSemanticEnv(calls, []));
await app.request('/entries/search?q=x&mode=semantic&top_k=10', {}, env);
expect(calls[0].opts.topK).toBeGreaterThan(10); // 補位餘量(實作=×3 封頂 100)
expect(calls[0].opts.topK).toBe(30);
});
it('補位 topK 封頂 100(不因 top_k 大就超過 Vectorize 上限)', async () => {
const calls: { opts: Record<string, unknown> }[] = [];
const captured: Captured[] = [];
const { app, env } = makeApp(captured, makeSemanticEnv(calls, []));
await app.request('/entries/search?q=x&mode=semantic&top_k=50', {}, env);
expect(calls[0].opts.topK).toBe(100);
});
it('補位後截斷:濾掉部分下架品後,回應筆數不超過 caller 要求的 top_k', async () => {
const calls: { opts: Record<string, unknown> }[] = [];
// 6 筆命中,3 筆已下架 → 濾完剩 3 筆現役,均少於 top_k=5,應原樣回(不會硬湊出更多)
const matches = [
{ id: 'a1', score: 0.9 }, { id: 'dep1', score: 0.85 }, { id: 'a2', score: 0.8 },
{ id: 'dep2', score: 0.7 }, { id: 'a3', score: 0.6 }, { id: 'dep3', score: 0.5 },
];
const entryMeta: Record<string, string | null> = {
dep1: JSON.stringify({ status: 'deprecated' }),
dep2: JSON.stringify({ status: 'deprecated' }),
dep3: JSON.stringify({ status: 'deprecated' }),
};
const captured: Captured[] = [];
const { app, env } = makeApp(captured, { ...makeSemanticEnv(calls, matches), _entryMeta: entryMeta });
const res = await app.request('/entries/search?q=x&mode=semantic&top_k=5', {}, env);
const body = (await res.json()) as { entries: Entry[]; count: number };
expect(body.entries.map((e) => e.id)).toEqual(['a1', 'a2', 'a3']);
expect(body.count).toBe(3);
});
it('include_deprecated=true → 不補位(topK=請求值)、不過濾(下架品也回傳,管理面查殘留)', async () => {
const calls: { opts: Record<string, unknown> }[] = [];
const entryMeta = { 'dep-highest': JSON.stringify({ status: 'deprecated' }) };
const captured: Captured[] = [];
const { app, env } = makeApp(captured, {
...makeSemanticEnv(calls, [{ id: 'dep-highest', score: 0.971 }]),
_entryMeta: entryMeta,
});
const res = await app.request('/entries/search?q=x&mode=semantic&top_k=10&include_deprecated=true', {}, env);
expect(calls[0].opts.topK).toBe(10); // 不補位
const body = (await res.json()) as { entries: Entry[]; count: number };
expect(body.entries.map((e) => e.id)).toEqual(['dep-highest']); // 保留
expect(body.count).toBe(1);
});
});