Files
Arcrun/kbdb/src/actions/entry-crud.ts
T
uncle6me-web 886a8e31d0 feat(kbdb,mcp): KBDB 資料層薄殼 + self-hosted MCP 認證 + cypher KBDB proxy
三件一條鏈(HANDOFF §2/§3b,kbdb-base Phase 9):

A. KBDB MCP 薄殼(9.1):mcp/src/tools/kbdb_data.ts 6 工具
   template/record/query/search,調基本盤 API。鐵律:不給建表/SQL,只 template+slot。

B. MCP self-hosted 認證 401(mcp-account-source §5.5):
   - partner-auth.ts:MULTI_TENANT=false 時 Bearer 明碼直接當 org_namespace,
     繞 KBDB partner 驗證(對齊 cypher 的 opaque-key 模型)。官方 SaaS 行為不變、共用同碼。
   - mcp-setup.ts:把 namespace/api_key 寫進 .mcp.json headers.Authorization。
   - 新增 self-hosted vs SaaS 分支單測(9 tests 綠)。

C. cypher KBDB proxy(9.5)+ CLI 薄殼(9.2):
   - routes/kbdb-proxy.ts 純轉發 /kbdb/* → KBDB 基本盤(KBDB_BASE_URL HTTP fetch,
     不新增 service binding)。讓 CLI(只認證到 cypher)能達獨立 KBDB worker。
   - 租戶隔離:X-Arcrun-API-Key 自動當 owner_id 注入 records/entries(強制覆寫防跨租戶);
     templates 全域共享(虛擬表定義是 schema 非資料)。
   - cli/src/commands/kbdb.ts:acr kbdb template/record/query/search,與 MCP kbdb_* 同能力。
   - kbdb base:entries 加 page_name 過濾(9.3)。

cypher + cli + mcp tsc exit 0。未驗收:端到端需 deploy + KBDB_BASE_URL 可達後實測。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 22:12:32 +08:00

120 lines
4.3 KiB
TypeScript

// Entry CRUD — atomic data + tree (project/workflow via parent_id). Base, D1 only.
import type { Bindings, Entry } from '../types';
function uid(prefix: string): string {
// deterministic-enough unique id without Math.random in hot path is fine here;
// crypto.randomUUID is available in Workers runtime.
return `${prefix}_${crypto.randomUUID()}`;
}
export interface CreateEntryInput {
content?: string | null;
entry_type: string;
owner_id?: string | null;
parent_id?: string | null;
page_name?: string | null;
refs_json?: string;
tags_json?: string;
task_status?: string | null;
confidence?: number | null;
metadata_json?: string | null;
id?: string;
}
export async function createEntry(db: D1Database, input: CreateEntryInput): Promise<Entry> {
const id = input.id ?? uid('e');
await db
.prepare(
`INSERT INTO entries (id, content, entry_type, owner_id, parent_id, page_name, refs_json, tags_json, task_status, confidence, metadata_json)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,
)
.bind(
id,
input.content ?? null,
input.entry_type,
input.owner_id ?? null,
input.parent_id ?? null,
input.page_name ?? null,
input.refs_json ?? '[]',
input.tags_json ?? '[]',
input.task_status ?? null,
input.confidence ?? null,
input.metadata_json ?? null,
)
.run();
const row = await getEntry(db, id);
if (!row) throw new Error('createEntry: insert succeeded but row not found');
return row;
}
export async function getEntry(db: D1Database, id: string): Promise<Entry | null> {
const row = await db.prepare('SELECT * FROM entries WHERE id = ?').bind(id).first<Entry>();
return row ?? null;
}
export interface ListEntriesFilter {
entry_type?: string;
owner_id?: string;
parent_id?: string;
page_name?: string; // exact-match lookup (e.g. skill-/example- idempotency key)
limit?: number;
offset?: number;
}
export async function listEntries(db: D1Database, f: ListEntriesFilter = {}): Promise<Entry[]> {
const conds: string[] = [];
const params: unknown[] = [];
if (f.entry_type) { conds.push('entry_type = ?'); params.push(f.entry_type); }
if (f.owner_id) { conds.push('owner_id = ?'); params.push(f.owner_id); }
if (f.parent_id) { conds.push('parent_id = ?'); params.push(f.parent_id); }
if (f.page_name) { conds.push('page_name = ?'); params.push(f.page_name); }
const where = conds.length ? `WHERE ${conds.join(' AND ')}` : '';
const limit = Math.min(f.limit ?? 100, 1000);
const offset = f.offset ?? 0;
const res = await db
.prepare(`SELECT * FROM entries ${where} ORDER BY created_at DESC LIMIT ? OFFSET ?`)
.bind(...params, limit, offset)
.all<Entry>();
return res.results ?? [];
}
export interface UpdateEntryInput {
content?: string | null;
parent_id?: string | null;
page_name?: string | null;
refs_json?: string;
tags_json?: string;
task_status?: string | null;
confidence?: number | null;
metadata_json?: string | null;
}
export async function updateEntry(db: D1Database, id: string, patch: UpdateEntryInput): Promise<Entry | null> {
const cols: string[] = [];
const params: unknown[] = [];
const map: Record<string, unknown> = patch as Record<string, unknown>;
for (const k of ['content', 'parent_id', 'page_name', 'refs_json', 'tags_json', 'task_status', 'confidence', 'metadata_json']) {
if (k in map && map[k] !== undefined) { cols.push(`${k} = ?`); params.push(map[k]); }
}
if (cols.length === 0) return getEntry(db, id);
cols.push('updated_at = unixepoch()');
await db.prepare(`UPDATE entries SET ${cols.join(', ')} WHERE id = ?`).bind(...params, id).run();
return getEntry(db, id);
}
export async function deleteEntry(db: D1Database, id: string): Promise<void> {
await db.prepare('DELETE FROM entries WHERE id = ?').bind(id).run();
}
// D1 LIKE keyword search (base; semantic search is the optional embed module).
export async function searchEntries(db: D1Database, q: string, owner_id?: string, limit = 50): Promise<Entry[]> {
const conds = ['content LIKE ?'];
const params: unknown[] = [`%${q}%`];
if (owner_id) { conds.push('owner_id = ?'); params.push(owner_id); }
const res = await db
.prepare(`SELECT * FROM entries WHERE ${conds.join(' AND ')} ORDER BY updated_at DESC LIMIT ?`)
.bind(...params, Math.min(limit, 200))
.all<Entry>();
return res.results ?? [];
}