163 lines
8.6 KiB
TypeScript
163 lines
8.6 KiB
TypeScript
// Entries route — atomic data + tree (project/workflow). Base; embed is OPTIONAL (issue #7).
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import { Hono } from 'hono';
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import type { Bindings } from '../types';
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import {
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createEntry,
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getEntry,
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listEntries,
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updateEntry,
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deleteEntry,
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searchEntries,
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} from '../actions/entry-crud';
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import { embedEnabled, embedOnWrite, semanticSearch } from '../embed';
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export const entryRoutes = new Hono<{ Bindings: Bindings }>();
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// library 多值參數(逗號分隔,portal-auth P1,design §3.3)。空值/全空白 → undefined(=不過濾,
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// 行為與未帶參數一字不變——向後相容硬驗收)。
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function parseLibraryParam(raw: string | undefined): string[] | undefined {
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if (!raw) return undefined;
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const libs = raw.split(',').map((s) => s.trim()).filter(Boolean);
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return libs.length > 0 ? libs : undefined;
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}
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// POST /entries — create (entry_type=block/value/project/workflow/...)
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entryRoutes.post('/', async (c) => {
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const body = await c.req.json().catch(() => null);
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if (!body || !body.entry_type) return c.json({ success: false, error: 'entry_type required' }, 400);
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const entry = await createEntry(c.env.DB, body);
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// embed-on-write (#7 / #5 第4點):模組開 + entry 標 embed:true 才做;fire-and-forget,不阻塞回應、失敗不致命。
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if (embedEnabled(c.env)) c.executionCtx.waitUntil(embedOnWrite(c.env, entry).catch(() => {}));
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return c.json({ success: true, entry });
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});
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// GET /entries/libraries?owner_id=... — 這個租戶的資料裡實際出現過哪些庫(distinct)。
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// t52(leo 2026-07-26:地端幾個資料夾=雲端幾個庫):庫由 ingest 蓋章決定,這裡直接從
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// 資料反查,讓「蓋了章的庫」一定看得到,不必依賴任何登記動作。未蓋章的舊資料=general。
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// 註冊在 '/' 之前——Hono 路由先到先比,放後面會被 '/:id' 之類的樣式吃掉。
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entryRoutes.get('/libraries', async (c) => {
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const owner = c.req.query('owner_id') || '';
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const rows = await c.env.DB.prepare(
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`SELECT DISTINCT COALESCE(NULLIF(json_extract(metadata_json, '$.library'), ''), 'general') AS library
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FROM entries
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WHERE (?1 = '' OR owner_id = ?1)
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AND COALESCE(json_extract(metadata_json, '$.status'), '') != 'deprecated'
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ORDER BY library`,
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)
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.bind(owner)
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.all<{ library: string }>();
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const libraries = (rows.results ?? []).map((r) => r.library).filter(Boolean);
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return c.json({ success: true, libraries, count: libraries.length });
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});
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// GET /entries — list with filters (entry_type, owner_id, parent_id, page_name, source, q/search)
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// e.g. list workflows under a project: ?parent_id=PROJECT&entry_type=workflow
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// e.g. get one by idempotency key: ?page_name=skill-rag_with_arcrun
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// e.g. filter by ingest source: ?source=logseq://vault/foo.md (issue #5.1)
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// e.g. filter by library(多值逗號分隔,portal-auth P1): ?library=finance,hr(未標記舊資料歸 general)
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// e.g. keyword filter: ?q=遷移 或 ?search=遷移(別名,Arcrun#3 發現①:caller 實測時打的是 search=,
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// 舊版完全不接這個 filter;q 與 search 兩個名字都認,避免同一個坑再踩一次)。
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// count = 本頁筆數(受 limit 影響);total = 符合條件全部筆數(不受 limit 影響,見 total 欄位)。
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entryRoutes.get('/', async (c) => {
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const { entries, total } = await listEntries(c.env.DB, {
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entry_type: c.req.query('entry_type') || undefined,
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owner_id: c.req.query('owner_id') || undefined,
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parent_id: c.req.query('parent_id') || undefined,
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page_name: c.req.query('page_name') || undefined,
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source: c.req.query('source') || undefined,
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library: parseLibraryParam(c.req.query('library')),
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q: c.req.query('q') || c.req.query('search') || undefined,
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limit: c.req.query('limit') ? Number(c.req.query('limit')) : undefined,
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offset: c.req.query('offset') ? Number(c.req.query('offset')) : undefined,
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});
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return c.json({ success: true, entries, count: entries.length, total });
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});
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// GET /entries/search?q=...&owner_id=...&source=...&entry_type=...&library=...&mode=keyword|semantic
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// - mode=keyword(預設):D1 LIKE(base,永遠可用)。
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// - mode=semantic:需 embed 模組開(Vectorize+AI binding)。未開 → 降級 keyword + capability_hint 告知缺能力(#7 發現閉環)。
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// - entry_type:base 通用 filter(caller 傳任意 type,如 workflow;base 不寫死語意,workflow-discovery Q4)。
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// - library:多值庫 filter(逗號分隔,portal-auth P1)。keyword 走 json_extract+NULL→general;
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// semantic 走 Vectorize $in。未帶=全庫(行為不變)。
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// - source:keyword 走 json_extract 謂詞(#66——#5.1 只接了 list 那半,這裡原本解析完即丟);
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// semantic 走 Vectorize metadata filter(原本就有)。
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// - top_k / min_score(#67,semantic 專用):topK 可調(預設 20、上限 100)+分數閾值
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// (預設 0=不過濾)。未帶=行為與舊版一致(向後相容);semantic 回應的 entry 另附 score
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// 欄讓 caller 自裁(加欄不改形,keyword 路徑不受影響)。
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entryRoutes.get('/search', async (c) => {
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const q = c.req.query('q');
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if (!q) return c.json({ success: false, error: 'q required' }, 400);
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const owner_id = c.req.query('owner_id') || undefined;
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const source = c.req.query('source') || undefined;
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const entry_type = c.req.query('entry_type') || undefined;
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const library = parseLibraryParam(c.req.query('library'));
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const mode = c.req.query('mode') === 'semantic' ? 'semantic' : 'keyword';
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// 數字參數防呆:非數字/非正 → 當沒帶(回預設),不 400——與其他 filter「壞值靜默忽略」一致。
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const topKNum = Number(c.req.query('top_k'));
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const top_k = Number.isFinite(topKNum) && topKNum > 0 ? Math.floor(topKNum) : undefined;
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const minScoreNum = Number(c.req.query('min_score'));
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const min_score = Number.isFinite(minScoreNum) && minScoreNum > 0 ? minScoreNum : undefined;
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if (mode === 'semantic') {
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const hits = await semanticSearch(c.env, q, {
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owner_id, source, entry_type, library, topK: top_k, min_score,
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});
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if (hits === null) {
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// 模組沒開:誠實降級 keyword + 告知「叫 CC 幫你開 vectorize」(不假裝有語義)。
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const entries = await searchEntries(c.env.DB, q, owner_id, entry_type, undefined, library, source);
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return c.json({
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success: true,
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entries,
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count: entries.length,
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mode: 'keyword',
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requested_mode: 'semantic',
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capability_hint:
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'語義查詢需先開 vectorize(embed 模組)。叫 CC「幫我開語義查詢」即可(設 kbdb_embed:true + redeploy)。本次已降級關鍵字搜尋。',
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});
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}
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// hydrate vector hits → 完整 entry(保持回應形狀與 keyword 一致)。
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// #67:entry 附 score(相似分數)——加欄不改形,既有 caller 不解析多的欄位不受影響。
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const entries = (
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await Promise.all(
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hits.map(async (h) => {
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const e = await getEntry(c.env.DB, h.id);
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return e ? { ...e, score: h.score } : null;
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}),
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)
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).filter((e): e is NonNullable<typeof e> => e !== null);
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return c.json({ success: true, entries, count: entries.length, mode: 'semantic' });
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}
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const entries = await searchEntries(c.env.DB, q, owner_id, entry_type, undefined, library, source);
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return c.json({ success: true, entries, count: entries.length, mode: 'keyword' });
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});
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// GET /entries/:id
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entryRoutes.get('/:id', async (c) => {
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const entry = await getEntry(c.env.DB, c.req.param('id'));
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if (!entry) return c.json({ success: false, error: 'not found' }, 404);
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return c.json({ success: true, entry });
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});
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// PATCH /entries/:id
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entryRoutes.patch('/:id', async (c) => {
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const body = await c.req.json().catch(() => ({}));
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const entry = await updateEntry(c.env.DB, c.req.param('id'), body);
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if (!entry) return c.json({ success: false, error: 'not found' }, 404);
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// 內容改了 → 重 embed(保持向量新鮮)。embedOnWrite 內部自會檢查模組開 + entry 是否 embeddable。
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if (embedEnabled(c.env) && body.content !== undefined) {
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c.executionCtx.waitUntil(embedOnWrite(c.env, entry).catch(() => {}));
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}
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return c.json({ success: true, entry });
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});
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// DELETE /entries/:id
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entryRoutes.delete('/:id', async (c) => {
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// 模組開 → 連帶刪向量(避免孤兒向量)。失敗不致命。
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if (embedEnabled(c.env)) {
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c.executionCtx.waitUntil(c.env.VECTORIZE!.deleteByIds([c.req.param('id')]).then(() => {}).catch(() => {}));
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}
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await deleteEntry(c.env.DB, c.req.param('id'));
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return c.json({ success: true });
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});
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