Files
kbdb-graph-plugin/src/routes/search.ts
T
Leo 613071f41d feat(graph): get_source + refresh 端點 + keyword 收斂 (T3.6-3.7)
對應 issue #1 T3 C 段(圖工具 HTTP API 備好,MCP 註冊薄殼待 arcrun)。

- get_source (3.7): graph-source.ts + GET /graph/source/:name —
  回節點的 active triplet 來源指標(uri/anchor/block_id/content_hash),去重。
  連帶加 source_anchor slot,ingest 從 source.anchor 帶入
- refresh (3.6/3.6b): graph-refresh.ts + POST /graph/refresh —
  純被動代轉 ingest(KBDB_INGEST_URL),只人發起、無排程/webhook(fan-out 紅線)。
  未設 URL → 誠實 forwarded:false,不假綠
- 3.6d: POST /search 移除公開 keyword 模式(重複 KBDB MCP),收斂 suggest-only;
  keywordSearch helper 留作 suggest 內部建構塊
- 3 新測試(get_source uri+anchor / active-only / refresh 未就緒誠實回報)

gates: vitest 19 passed / zero SQL / 無新綁定 / dry-run bundle 乾淨
待接:MCP 註冊薄殼併 arcrun u6u-mcp-server;refresh 端到端待 ingest(T4) 部署

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-26 18:24:04 +08:00

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// 搜尋路由入口 — 僅驗證參數,呼叫 actions
//
// T3.6d:移除 graph 的 keyword 搜尋【公開端點】——純關鍵字搜尋重複於 KBDB MCP 的 kbdb_search
// 歸 KBDB MCP,不由 graph 代理。graph 只保留圖專屬的 `suggest`(跨知識建議)。
// 注意:keywordSearch helper 仍保留,作為 suggest 的內部建構塊(非對外端點)。
// 語意搜尋 / embedding 屬基本盤 optional embed 模組,不在插件 → 已移除 /search/embed。
import { Hono } from 'hono';
import { z } from 'zod';
import type { Bindings, Variables } from '../types';
import { suggestKnowledge } from '../actions/search-suggest';
import { makeKbdbClient } from '../lib/kbdb-client';
const searchRoutes = new Hono<{ Bindings: Bindings; Variables: Variables }>();
const SuggestSchema = z.object({
query: z.string().min(1),
topK: z.number().min(1).max(20).optional(),
owner_id: z.string().optional(),
});
// 統一搜尋入口:POST /search — 僅 suggestkeyword 歸 KBDB MCPT3.6d
searchRoutes.post('/', async (c) => {
const parsed = SuggestSchema.safeParse(await c.req.json());
if (!parsed.success) return c.json({ error: parsed.error.flatten() }, 400);
const { query, topK, owner_id } = parsed.data;
// Namespace 讀取過濾:partner token 只能搜到自己 namespace 的資料
const namespace = c.get('namespace');
const effectiveOwner = namespace ?? owner_id;
const result = await suggestKnowledge(makeKbdbClient(c.env), query, topK, effectiveOwner);
return c.json(result);
});
export { searchRoutes };