ceb7638d74
規格:system-dev/docs/3-specs/pending-changes.md「record 要有身分」v7 定稿(leo 2026-08-15 confirm)。 模型一句話(leo):「真身在 pool 的 entry 裡,所有的虛擬表虛擬欄位都是指向這個 entry 的指標。」 - 0007 migration:池上型別化指標欄(src/rel/dst)+一對方向 partial index+啟動常數 (sys_root/sys_belongs/sys_field_of)+templates 鏡射成 sheet/field entry+ 每筆 record 一顆身分 entry(id=原 record_id,引用不失效)+每格一條關係列 (id 由舊儲存格列 id 衍生 ⇒ INSERT OR IGNORE 天然冪等)+拆 entry_values (0006 墊表→搬→拆手法)。純 INSERT、value entries 一列不動(向量索引不失效)。 - record-crud 整份改寫到關係列(#128 指標語意/共用保護/N+1 批次/租戶過濾全數保留, 驗收測試 232→236 綠);library-map 四段縱轉橫 SQL、records triplet-stats 改查關係列。 - entry-crud:機制列隔離(未指定 entry_type 的列表/搜尋不回機制節點);deleteEntry 接手舊 entry_values FK 的不變量(dst 被指著→拒刪)。 - 孤兒偵測重設計(v7 §5 點名):新模型孤兒=指標指向不存在 id 的關係列, LEFT JOIN 斷鏈掃描(承接 2026-06-24 清理事故的 FK 形狀), GET /maintenance/relation-orphans 唯讀巡檢。 - cli deploy.ts:0007 逐句套用+容錯 duplicate column(SQLite 無欄位級 IF NOT EXISTS, 整檔送 /query 會在重跑時假紅)。 - 測試:tree-record-migration.test.ts 驗資料零漏/雙跑冪等/孤兒掃描; 釘死三表的斷言依 confirm 後規格改口(execution-log/credential-legacy 兩處)。 遷移期雙軌(第二刀收):templates 表仍是欄位定義真相源;六種 metadata_json 打包型 與 §7 減法封鎖(拿掉 entry_type/metadata_json 欄)留待第二刀。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
443 lines
24 KiB
TypeScript
443 lines
24 KiB
TypeScript
// library-map(藏書地圖)M1+M2 — SDD system-dev/docs/3-specs/library-map(源頭 Arcrun#39)。
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// 測試策略:聚合 SQL(degree 排序/predicate 統計/跨庫 join/supersede 查找)用「真 SQLite」驗——
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// node:sqlite(Node ≥22.5 內建,零新依賴)跑 migrations/0001+0003 原檔,比 capture-DB 只驗 SQL
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// 形狀更硬;route 行為(參數解析/400/404/回應形狀)走 Hono app.request,與既有測試同款。
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// 註:D1 語意與 SQLite 幾乎同源,僅 session/consistency 層不同——本測試覆蓋的純 SQL 聚合在兩邊等價。
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import { describe, it, expect } from 'vitest';
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import { DatabaseSync } from 'node:sqlite';
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import { readFileSync } from 'node:fs';
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import { Hono } from 'hono';
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import { mapRoutes } from '../src/routes/map';
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import {
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recomputeLibraryMap,
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listLibraryMaps,
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getLibraryMapDetail,
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ensureTripletLibrarySlot,
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ensureFreshLibraryMaps,
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LIBRARY_MAP_SLOTS,
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} from '../src/actions/library-map';
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import { createTemplate, createRecord, getRecord, getTemplate, searchByTemplate } from '../src/actions/record-crud';
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import { createEntry } from '../src/actions/entry-crud';
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import type { Bindings } from '../src/types';
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// ── node:sqlite → D1 介面最小 adapter(prepare/bind/all/first/run,本 codebase 只用這些)──
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function makeSqliteD1(): D1Database {
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const raw = new DatabaseSync(':memory:');
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raw.exec(readFileSync(new URL('../migrations/0001_base.sql', import.meta.url), 'utf8'));
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raw.exec(readFileSync(new URL('../migrations/0003_library_map.sql', import.meta.url), 'utf8'));
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raw.exec(readFileSync(new URL('../migrations/0007_tree_record_model.sql', import.meta.url), 'utf8')); // kbdb-sql-ok:測試治具套 0007(樹狀 record 模型,v7 定稿)——真 schema 就是遷移後的 schema
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function stmt(sql: string, params: unknown[]) {
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const s = {
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bind(...args: unknown[]) { return stmt(sql, args); },
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async all<T>() { return { results: raw.prepare(sql).all(...params) as T[] }; },
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async first<T>() { return (raw.prepare(sql).get(...params) ?? null) as T | null; },
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async run() { raw.prepare(sql).run(...params); return { success: true }; },
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};
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return s;
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}
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return { prepare: (sql: string) => stmt(sql, []) } as unknown as D1Database;
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}
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// prod 實際 triplet template 的 slots(2026-07-19 kbdb_list_templates 核實)——注意:沒有 library。
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const PROD_TRIPLET_SLOTS = [
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'subject', 'predicate', 'object', 'source_block_id', 'confidence', 'clusters_json',
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'bridge_score', 'subject_entity_type', 'object_entity_type', 'status', 'superseded_by',
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'source_uri', 'content_hash', 'source_anchor', 'predicate_embed',
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];
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async function seedTripletTemplate(db: D1Database): Promise<void> {
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await createTemplate(db, { id: 'tpl-triplet-test', name: 'triplet', slots: PROD_TRIPLET_SLOTS, created_by: 'kbdb-graph' });
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}
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async function seedTriplet(
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db: D1Database,
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v: { s: string; p: string; o: string; library?: string; source_uri?: string; status?: string },
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owner = 'leo',
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): Promise<string> {
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const values: Record<string, string> = { subject: v.s, predicate: v.p, object: v.o };
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if (v.library) values.library = v.library;
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if (v.source_uri) values.source_uri = v.source_uri;
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if (v.status) values.status = v.status;
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const rec = await createRecord(db, { template: 'triplet', values, owner_id: owner });
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return rec.record_id;
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}
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function makeApp(db: D1Database) {
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const app = new Hono<{ Bindings: Bindings }>();
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app.route('/map', mapRoutes);
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const env = { DB: db, ENVIRONMENT: 'test' } as unknown as Bindings;
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return { app, env };
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}
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describe('M1 — library_map template+triplet library slot(真 SQLite)', () => {
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it('migration 0003 seed:library_map template 落在 templates 表、slots 齊全(D6 零建表)', async () => {
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const db = makeSqliteD1();
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const tpl = await getTemplate(db, 'library_map');
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expect(tpl).not.toBeNull();
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expect(JSON.parse(tpl!.slots_json)).toEqual(LIBRARY_MAP_SLOTS);
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});
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it('ensureTripletLibrarySlot:prod 形狀(無 library slot)→ 補上;再跑冪等 false', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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expect(await ensureTripletLibrarySlot(db, 'triplet')).toBe(true);
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const tpl = await getTemplate(db, 'triplet');
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expect(JSON.parse(tpl!.slots_json)).toContain('library');
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expect(await ensureTripletLibrarySlot(db, 'triplet')).toBe(false); // 只增不減、冪等
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});
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it('recompute 對缺 triplet template 的 DB → 誠實丟錯(不假裝算出空地圖)', async () => {
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const db = makeSqliteD1();
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await expect(recomputeLibraryMap(db, { library: 'kb' })).rejects.toThrow('triplet template not found');
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});
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});
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describe('M2 — recompute 聚合(真 SQLite 實跑 SQL)', () => {
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async function seedKbLibrary(db: D1Database) {
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await seedTripletTemplate(db);
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await ensureTripletLibrarySlot(db, 'triplet');
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// kb 庫:A 出現 3 次(degree 3)、B 2 次、C 1 次;predicate 連結至×2、屬於×1
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb' });
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await seedTriplet(db, { s: 'B', p: '屬於', o: 'A', library: 'kb' });
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}
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it('top_entities degree 排序+relation_profile+triplet_count+content 可嵌人話', async () => {
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const db = makeSqliteD1();
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await seedKbLibrary(db);
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const r = await recomputeLibraryMap(db, { library: 'kb', narrative: '知識庫卡片', commit_hash: 'abc123' });
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expect(r.map.triplet_count).toBe(3);
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expect(r.map.top_entities).toEqual([
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{ name: 'A', degree: 3 },
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{ name: 'B', degree: 2 },
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{ name: 'C', degree: 1 },
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]);
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expect(r.map.relation_profile).toEqual([
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{ predicate: '連結至', count: 2 },
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{ predicate: '屬於', count: 1 },
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]);
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// design §5:content = `{library}:{narrative}。核心:{top 前幾個}`(M6 semantic 路由直接嵌)
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expect(r.map.content).toBe('kb:知識庫卡片。核心:A、B、C');
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expect(r.map.commit_hash).toBe('abc123');
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expect(r.superseded).toEqual([]);
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expect(r.triplet_library_slot_added).toBe(false); // seed 已補過 slot → recompute 冪等回 false
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});
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it('superseded triplet 不入地圖(COALESCE status active-only)', async () => {
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const db = makeSqliteD1();
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await seedKbLibrary(db);
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await seedTriplet(db, { s: 'X', p: '連結至', o: 'Y', library: 'kb', status: 'superseded' });
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const r = await recomputeLibraryMap(db, { library: 'kb' });
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expect(r.map.triplet_count).toBe(3);
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expect(r.map.top_entities.map((t) => t.name)).not.toContain('X');
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});
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it('source_prefix fallback:舊 triplet(無 library 值)靠 source_uri 前綴歸庫;不帶 fallback 則不計', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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// 模擬 prod 現況:triplet 只有 source_uri(gitea:Leo/kb@…),沒有 library slot 值
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', source_uri: 'gitea:Leo/kb@system-dev/wiki/cards/kb/00-INDEX.md#seg02' });
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await seedTriplet(db, { s: 'B', p: '連結至', o: 'C', source_uri: 'gitea:Leo/kb@system-dev/wiki/cards/kb/x.md' });
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await seedTriplet(db, { s: 'D', p: '連結至', o: 'E', source_uri: 'gitea:Leo/notes@cards/y.md' }); // 他庫
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const strict = await recomputeLibraryMap(db, { library: 'kb' });
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expect(strict.map.triplet_count).toBe(0); // library slot 全空 → 嚴格模式誠實回 0
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const fb = await recomputeLibraryMap(db, { library: 'kb', source_prefix: 'gitea:Leo/kb@' });
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expect(fb.map.triplet_count).toBe(2);
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expect(fb.map.top_entities.map((t) => t.name)).toEqual(['B', 'A', 'C']);
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});
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it('bridges:本庫 entity 出現在其他庫(library slot 標記側)→ 跨庫 join 列出', async () => {
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const db = makeSqliteD1();
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await seedKbLibrary(db);
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await seedTriplet(db, { s: 'A', p: '參與', o: 'Z', library: 'notes' }); // A 橫跨 kb/notes
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const r = await recomputeLibraryMap(db, { library: 'kb' });
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expect(r.map.bridges).toEqual([{ entity: 'A', libraries: ['notes'] }]);
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});
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it('owner 隔離:帶 owner_id 只聚合該 owner 的 triplet(照 base 既有 owner 慣例)', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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await ensureTripletLibrarySlot(db, 'triplet');
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' }, 'tenant1');
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await seedTriplet(db, { s: 'C', p: '連結至', o: 'D', library: 'kb' }, 'tenant2');
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const r = await recomputeLibraryMap(db, { library: 'kb', owner_id: 'tenant1' });
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expect(r.map.triplet_count).toBe(1);
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expect(r.map.top_entities.map((t) => t.name).sort()).toEqual(['A', 'B']);
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});
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it('supersede 順序安全:重算兩次 → 舊 map 標 superseded、讀端只見最新 active', async () => {
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const db = makeSqliteD1();
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await seedKbLibrary(db);
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const first = await recomputeLibraryMap(db, { library: 'kb', narrative: '第一版' });
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'D', library: 'kb' });
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const second = await recomputeLibraryMap(db, { library: 'kb', narrative: '第二版' });
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expect(second.superseded).toEqual([first.map.record_id]); // 舊 active 被點名
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const oldRec = await getRecord(db, first.map.record_id);
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expect(oldRec!.values.status).toBe('superseded'); // 沿用既有 status slot 語意(R6)
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const detail = await getLibraryMapDetail(db, 'kb');
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expect(detail!.record_id).toBe(second.map.record_id);
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expect(detail!.narrative).toBe('第二版');
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expect(detail!.triplet_count).toBe(4);
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// 全館視圖同樣只剩一行 kb(superseded 不重複出現)
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const all = await listLibraryMaps(db);
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expect(all.filter((r) => r.library === 'kb')).toHaveLength(1);
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});
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});
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describe('M2 — route 行為(GET /map、GET /map/:library、POST /map/recompute)', () => {
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it('POST /map/recompute 缺 library → 400;query 傳 library+body 傳 narrative 可重算', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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const { app, env } = makeApp(db);
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const bad = await app.request('/map/recompute', { method: 'POST' }, env);
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expect(bad.status).toBe(400);
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const ok = await app.request('/map/recompute?library=kb', {
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method: 'POST',
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body: JSON.stringify({ narrative: '知識庫' }),
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headers: { 'content-type': 'application/json' },
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}, env);
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expect(ok.status).toBe(200);
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const body = (await ok.json()) as { success: boolean; map: { library: string; content: string } };
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expect(body.success).toBe(true);
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expect(body.map.library).toBe('kb');
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expect(body.map.content).toContain('kb:知識庫');
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});
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it('GET /map:從未 recompute(template 不存在)→ 誠實空清單;有資料 → 每庫一行、top 3 名字', async () => {
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const empty = makeSqliteD1();
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// 空 DB 連 library_map template 都拿掉,模擬「migration 未跑、也從未 recompute」的自架環境
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await (empty as unknown as { prepare(sql: string): { run(): Promise<unknown> } })
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.prepare("DELETE FROM templates WHERE name = 'library_map'").run();
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const e = makeApp(empty);
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const r0 = await e.app.request('/map', {}, e.env);
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expect(r0.status).toBe(200);
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expect(await r0.json()).toEqual({ success: true, libraries: [], count: 0 });
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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await ensureTripletLibrarySlot(db, 'triplet');
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// kb 庫塞 4 個 entities(驗 top_entities 全館視圖只留 3)
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb' });
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'D', library: 'kb' });
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await seedTriplet(db, { s: 'X', p: '參與', o: 'Y', library: 'notes' });
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await recomputeLibraryMap(db, { library: 'kb', narrative: '知識庫' });
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await recomputeLibraryMap(db, { library: 'notes', narrative: '隨手筆記' });
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const { app, env } = makeApp(db);
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const res = await app.request('/map', {}, env);
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const body = (await res.json()) as { libraries: { library: string; narrative: string; top_entities: string[]; triplet_count: number }[]; count: number };
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expect(body.count).toBe(2);
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const kb = body.libraries.find((l) => l.library === 'kb')!;
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expect(kb.narrative).toBe('知識庫');
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expect(kb.triplet_count).toBe(3);
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expect(kb.top_entities).toEqual(['A', 'B', 'C']); // 每庫一行只留 top 3(R3 數百 token 內)
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});
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it('GET /map/:library:完整 slots+content;未知庫 404', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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await ensureTripletLibrarySlot(db, 'triplet');
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
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await recomputeLibraryMap(db, { library: 'kb', narrative: '知識庫', commit_hash: 'deadbeef' });
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const { app, env } = makeApp(db);
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const res = await app.request('/map/kb', {}, env);
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expect(res.status).toBe(200);
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const body = (await res.json()) as { map: Record<string, unknown> };
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expect(body.map.library).toBe('kb');
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expect(body.map.commit_hash).toBe('deadbeef');
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expect(body.map.status).toBe('active');
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expect(Array.isArray(body.map.relation_profile)).toBe(true);
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expect(Array.isArray(body.map.bridges)).toBe(true);
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expect(body.map.content).toBe('kb:知識庫。核心:A、B');
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const miss = await app.request('/map/nope', {}, env);
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expect(miss.status).toBe(404);
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});
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});
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// 2026-08-08:M3 收尾——真因是「等外部呼叫 /map/recompute」這條線三週沒人接(總管實測 grep
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// 全 repo 查無呼叫點),沒手動 backfill 過的租戶恆空。修法:讀端自己核對即時三元組數,落差
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// 就地補算,不再依賴任何外部呼叫者。以下驗證這條「即時新鮮度」機制本身。
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describe('M3 收尾 — 即時新鮮度(ensureFreshLibraryMaps,讀端自動核對重算,不靠外部呼叫 recompute)', () => {
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it('從未手動呼過 recompute:GET /map 第一次讀就自動補齊(全租戶自動 backfill)', async () => {
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const db = makeSqliteD1();
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await seedTripletTemplate(db);
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await ensureTripletLibrarySlot(db, 'triplet');
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
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await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb' });
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await seedTriplet(db, { s: 'X', p: '參與', o: 'Y', library: 'notes' });
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// 注意:這裡沒有呼叫 recomputeLibraryMap,直接打 GET /map。
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const { app, env } = makeApp(db);
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const res = await app.request('/map', {}, env);
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const body = (await res.json()) as { libraries: { library: string; triplet_count: number }[]; count: number };
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expect(body.count).toBe(2);
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const kb = body.libraries.find((l) => l.library === 'kb')!;
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expect(kb.triplet_count).toBe(2);
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||
const notes = body.libraries.find((l) => l.library === 'notes')!;
|
||
expect(notes.triplet_count).toBe(1);
|
||
});
|
||
|
||
it('跟得上資料:先讀一次,再塞新三元組,下一次讀(不手動 recompute)數字要更新', async () => {
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
|
||
const { app, env } = makeApp(db);
|
||
const first = await app.request('/map', {}, env);
|
||
const firstBody = (await first.json()) as { libraries: { library: string; triplet_count: number }[] };
|
||
expect(firstBody.libraries.find((l) => l.library === 'kb')!.triplet_count).toBe(1);
|
||
|
||
// 模擬 ingest 進了一筆新資料——不呼叫任何 recompute。
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb' });
|
||
const second = await app.request('/map', {}, env);
|
||
const secondBody = (await second.json()) as { libraries: { library: string; triplet_count: number }[] };
|
||
expect(secondBody.libraries.find((l) => l.library === 'kb')!.triplet_count).toBe(2);
|
||
});
|
||
|
||
it('Arcrun#87 迴歸:superseded triplet 存在時,連讀兩次地圖不會再次觸發重算(不再無止盡寫入)', async () => {
|
||
// 重現票上的根因:liveTripletCountsByLibrary 原本不濾 status,recomputeLibraryMap 只算
|
||
// active——只要庫裡混了 superseded triplet,兩邊算出來的數字永遠對不上,
|
||
// ensureFreshLibraryMaps 就永遠判定 stale,每次讀地圖都重算、每次都新建一筆 record。
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' }); // active
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb', status: 'superseded' }); // 已淘汰
|
||
|
||
const { app, env } = makeApp(db);
|
||
|
||
// 第一次讀:資料是新的(從沒 recompute 過),觸發一次重算是正常的。
|
||
const first = await app.request('/map', {}, env);
|
||
const firstBody = (await first.json()) as { libraries: { library: string; triplet_count: number }[] };
|
||
expect(firstBody.libraries.find((l) => l.library === 'kb')!.triplet_count).toBe(1); // 只算 active 那筆
|
||
|
||
const countAfterFirst = (await searchByTemplate(db, 'library_map')).length;
|
||
|
||
// 第二次讀:中間沒有任何寫入動作。修好之前,這裡會再次判定 stale 並多新建一筆 record。
|
||
const second = await app.request('/map', {}, env);
|
||
const secondBody = (await second.json()) as { libraries: { library: string; triplet_count: number }[] };
|
||
expect(secondBody.libraries.find((l) => l.library === 'kb')!.triplet_count).toBe(1);
|
||
|
||
const countAfterSecond = (await searchByTemplate(db, 'library_map')).length;
|
||
expect(countAfterSecond).toBe(countAfterFirst); // 沒有新增任何 library_map record
|
||
|
||
// 第三次也一樣,多讀幾次確認不是巧合。
|
||
await app.request('/map', {}, env);
|
||
const countAfterThird = (await searchByTemplate(db, 'library_map')).length;
|
||
expect(countAfterThird).toBe(countAfterFirst);
|
||
});
|
||
|
||
it('narrative 不會被自動重算靜默洗掉:先人工帶 narrative,之後的自動重算要保留它', async () => {
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
|
||
await recomputeLibraryMap(db, { library: 'kb', narrative: '人工填過的摘要' });
|
||
// 塞新三元組觸發下一次讀時的自動重算(不帶 narrative)。
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'C', library: 'kb' });
|
||
await ensureFreshLibraryMaps(db);
|
||
const detail = await getLibraryMapDetail(db, 'kb');
|
||
expect(detail!.triplet_count).toBe(2); // 確認真的有重算(不是沒動過)
|
||
expect(detail!.narrative).toBe('人工填過的摘要'); // 但 narrative 沒被洗掉
|
||
});
|
||
|
||
it('GET /map/:library 誠實分辨「查無此庫」(404) vs「已知但目前是空庫」(200+triplet_count:0)', async () => {
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
// 'hr' 庫:entries 蓋過章(t52 慣例)但目前沒有任何三元組——已知但空。
|
||
await createEntry(db, {
|
||
content: '人資資料',
|
||
entry_type: 'block',
|
||
owner_id: 'leo',
|
||
metadata_json: JSON.stringify({ library: 'hr' }),
|
||
});
|
||
const { app, env } = makeApp(db);
|
||
|
||
const known = await app.request('/map/hr?owner_id=leo', {}, env);
|
||
expect(known.status).toBe(200); // 已知庫,即使是空的也回 200,不是 404
|
||
const knownBody = (await known.json()) as { map: { triplet_count: number } };
|
||
expect(knownBody.map.triplet_count).toBe(0);
|
||
|
||
const unknown = await app.request('/map/totally-made-up-name?owner_id=leo', {}, env);
|
||
expect(unknown.status).toBe(404); // 真的從沒出現過的名字才 404
|
||
});
|
||
|
||
it('entry_count 讓「有原始內容但三元組從沒萃取過」與「真的什麼都沒有」分得清(Arcrun#87 三次收尾)', async () => {
|
||
// 情境沿用上一案的 'hr' 庫(entries 蓋過章、triplet_count:0),這正是 leo21c 實測到的真實
|
||
// 現況(kb 以外 7 庫皆此況):地圖過去只回 triplet_count,AI 讀到 0 就誤判「這庫沒有知識」,
|
||
// 但實際上 kbdb_search 找得到內容——因為 entries 一直都在,只是沒被萃取成三元組。
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
await createEntry(db, {
|
||
content: '人資資料 A',
|
||
entry_type: 'block',
|
||
owner_id: 'leo',
|
||
metadata_json: JSON.stringify({ library: 'hr' }),
|
||
});
|
||
await createEntry(db, {
|
||
content: '人資資料 B',
|
||
entry_type: 'block',
|
||
owner_id: 'leo',
|
||
metadata_json: JSON.stringify({ library: 'hr' }),
|
||
});
|
||
const { app, env } = makeApp(db);
|
||
|
||
// 單庫詳圖:triplet_count 仍是 0(沒騙這件事),但 entry_count 誠實回 2。
|
||
const detailRes = await app.request('/map/hr?owner_id=leo', {}, env);
|
||
const detailBody = (await detailRes.json()) as { map: { triplet_count: number; entry_count: number } };
|
||
expect(detailBody.map.triplet_count).toBe(0);
|
||
expect(detailBody.map.entry_count).toBe(2);
|
||
|
||
// 全館視圖:同一個庫、同一組數字,兩個 consumer(GET /map、GET /map/:library)不能對不上。
|
||
const listRes = await app.request('/map?owner_id=leo', {}, env);
|
||
const listBody = (await listRes.json()) as { libraries: { library: string; triplet_count: number; entry_count: number }[] };
|
||
const hr = listBody.libraries.find((l) => l.library === 'hr');
|
||
expect(hr).toBeDefined();
|
||
expect(hr!.triplet_count).toBe(0);
|
||
expect(hr!.entry_count).toBe(2);
|
||
});
|
||
|
||
it('entry_count 的計數口徑排除 value 型 entries 與地圖自己的歷史摘要 block(不自我膨脹)', async () => {
|
||
// record-crud 建 triplet record 時,每個 slot 值都會落一筆 entry_type='value' 的 entry
|
||
// (儲存實作細節,不是「一筆知識」);地圖 recompute 也會建 entry_type='block' 且
|
||
// metadata.kind='library_map' 的摘要 entry——兩者都不該被算進 entry_count,否則地圖會把
|
||
// 自己的內部管線雜訊當成「使用者知識」回報,數字沒有意義。
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
// 建一條 kb 三元組 → 連帶產生數筆 entry_type='value' 的 entries(不該被算進 entry_count)。
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' });
|
||
// 觸發一次 recompute → 產生一筆 entry_type='block'/metadata.kind='library_map' 的摘要 entry
|
||
// (同樣不該被算進 entry_count)。
|
||
await recomputeLibraryMap(db, { library: 'kb' });
|
||
|
||
const detail = await getLibraryMapDetail(db, 'kb');
|
||
// 這個情境下 kb 沒有任何「真的 ingest 進來的原始內容」entry(只有 value 碎片與地圖自己的摘要),
|
||
// entry_count 應誠實回 0——不能因為底層 entries 表其實有好幾筆就報出一個誤導的非零數字。
|
||
expect(detail!.entry_count).toBe(0);
|
||
expect(detail!.triplet_count).toBe(1); // 對照:triplet_count 不受這個排除規則影響,維持原樣。
|
||
});
|
||
|
||
it('owner 隔離:即時新鮮度層不會把別的 owner 的三元組算進來', async () => {
|
||
const db = makeSqliteD1();
|
||
await seedTripletTemplate(db);
|
||
await ensureTripletLibrarySlot(db, 'triplet');
|
||
await seedTriplet(db, { s: 'A', p: '連結至', o: 'B', library: 'kb' }, 'tenant1');
|
||
await seedTriplet(db, { s: 'C', p: '連結至', o: 'D', library: 'kb' }, 'tenant2');
|
||
const { app, env } = makeApp(db);
|
||
const res = await app.request('/map?owner_id=tenant1', {}, env);
|
||
const body = (await res.json()) as { libraries: { library: string; triplet_count: number }[] };
|
||
expect(body.libraries.find((l) => l.library === 'kb')!.triplet_count).toBe(1);
|
||
});
|
||
|
||
it('沒有 triplet template(這顆 KBDB 從沒建過任何三元組)→ 不報錯,誠實回空清單', async () => {
|
||
// 新鮮 DB:只跑過 migrations(library_map template 有 seed,但沒人叫過 seedTripletTemplate)。
|
||
const fresh = makeSqliteD1();
|
||
await expect(ensureFreshLibraryMaps(fresh)).resolves.toBeUndefined();
|
||
const { app, env } = makeApp(fresh);
|
||
const res = await app.request('/map', {}, env);
|
||
expect(await res.json()).toEqual({ success: true, libraries: [], count: 0 });
|
||
});
|
||
});
|