6a75117ba3
kbdb-base SDD §7.5(公庫/私庫雙向機制,richblack 2026-06-07 拍板)。
## KBDB Base worker(新)
- kbdb/:D1-only 核心三表(entries/templates/entry_values)+ CRUD + LIKE search
+ recipe-stats 端點(市場數據)+ 0001_base.sql migration(含 recipe_stat seed)
## Phase 2.3:init 建 D1 + 套 migration
- cli cf-api.ts 加 listD1Databases/ensureD1Database;init 建 arcrun-kbdb D1
- deploy.ts 部署後對 D1 套 0001_base.sql(CF /d1/query API,idempotent)+ 注入 database_id
## Phase 5.1:recipe 成功記錄(市場數據來源)
- GraphExecutor 收集本次用到的 recipe uuid(usedRecipeKeys)
- executeWebhookGraph 執行結束一次性記 per-uuid 成功/失敗到 KBDB(fire-and-forget)
## Phase 7.5:recipe UUID 身份 + app-store 模型
- recipe 領 uuid=唯一身份;canonical_id/author/公私=屬性(§7.5.5)
- recipe:{uuid} + idx:canonical/installed/hash;resolveRecipe 向後相容不破執行鏈
- POST /recipes/submit=領新 uuid 新增作者版本(非覆蓋,app-store)
- GET /public-recipes 搜尋(多作者+per-uuid 市場星數)/ :id pull(選市場最佳)
- 落空→found:false 創作引導(§7.5.6 閉環)
- POST /recipes/migrate-uuid 一次性轉舊 key(增量寫不刪舊、冪等)
- init-seed 用 UUID(author=system)
## 薄殼(rule 07 §5:CLI + MCP 覆蓋同組能力)
- CLI: acr recipe search/pull/submit-p(config 加 DEFAULT_PUBLIC_LIBRARY_URL)
- MCP: arcrun_recipe_search/pull/submit_p/push/list/delete(補齊漂移)
## 壓測修正
- api-recipe-seeds: google_sheets_append PUT→POST(:append 正確動詞,階段12)
四 worker tsc 全綠(cypher/cli/kbdb/mcp)。
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
136 lines
4.9 KiB
TypeScript
136 lines
4.9 KiB
TypeScript
import type { Bindings, ExecutionGraph, ExecutionContext } from '../types';
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import { ExecutionError } from '../types';
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import { GraphExecutor } from '../graph-executor';
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import { graphSchema } from '../lib/schemas';
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import { createComponentLoader } from '../lib/component-loader';
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import { recordTelemetry } from '../lib/telemetry';
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/**
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* kbdb-base §7.1+§7.5.h:一條工作流執行結束後,把這次用到的 recipe 各記一次成功/失敗到 KBDB 市場星數。
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* 判定單位是「工作流執行」(n8n execution):整體成功 → 用到的每個 recipe key +1 成功;整體失敗 → 各 +1 失敗。
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* **key = recipe uuid**(per-uuid,能區分同 canonical 的不同作者版本 §7.5.5;舊資料 fallback canonical_id)。
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*
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* fire-and-forget(用 ctx.waitUntil,仿 recordTelemetry):記錄失敗不影響工作流結果。
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* KBDB 端點 POST {KBDB_BASE_URL}/recipe-stats/record { canonical_id, ok, at }——
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* 該欄位名為 canonical_id 但語意已是 recipe key(uuid),KBDB 端只當 stat 的主鍵字串用。
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*/
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function recordRecipeStats(
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env: Bindings,
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recipeKeys: Set<string>,
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ok: boolean,
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at: number,
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ctx?: ExecutionContext,
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): void {
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if (recipeKeys.size === 0) return;
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const base = (env.KBDB_BASE_URL ?? 'https://kbdb.finally.click').replace(/\/$/, '');
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const headers: Record<string, string> = { 'Content-Type': 'application/json' };
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if (env.KBDB_INTERNAL_TOKEN) headers['Authorization'] = `Bearer ${env.KBDB_INTERNAL_TOKEN}`;
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const promise = Promise.all(
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[...recipeKeys].map(key =>
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fetch(`${base}/recipe-stats/record`, {
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method: 'POST',
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headers,
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body: JSON.stringify({ canonical_id: key, ok, at }),
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}).catch(() => undefined),
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),
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).then(() => undefined);
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if (ctx?.waitUntil) ctx.waitUntil(promise);
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else void promise;
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}
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type WebhookRecord = {
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graph: Record<string, unknown>;
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description: string;
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created_at: string;
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};
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export function generateToken(): string {
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const tokenBytes = crypto.getRandomValues(new Uint8Array(16));
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return Array.from(tokenBytes).map(b => b.toString(16).padStart(2, '0')).join('');
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}
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export async function validateAndParseWebhook(raw: string): Promise<WebhookRecord | null> {
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try {
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return JSON.parse(raw) as WebhookRecord;
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} catch {
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return null;
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}
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}
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export async function executeWebhookGraph(
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env: Bindings,
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graph: Record<string, unknown>,
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triggerContext: Record<string, unknown>,
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token: string,
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apiKey?: string,
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ctx?: ExecutionContext, // 可選 — 用 waitUntil 把 telemetry 推到背景
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userAgent?: string, // MCP / SDK client 帶過來
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): Promise<{ success: boolean; data?: unknown; error?: string; trace?: unknown; duration_ms: number }> {
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const parsed = graphSchema.safeParse(graph);
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if (!parsed.success) {
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return { success: false, error: '圖定義已失效', duration_ms: 0 };
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}
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const loader = createComponentLoader(env);
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const executor = new GraphExecutor(loader, undefined, env, apiKey);
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const start = Date.now();
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try {
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const result = await executor.execute(
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parsed.data as ExecutionGraph,
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{ ...triggerContext, _webhook_token: token },
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env.EXEC_CONTEXT,
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);
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const duration_ms = Date.now() - start;
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// Implicit telemetry:成功 run(含 paused 也算「成功啟動」由 trigger_workflow 那層分類)
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recordTelemetry(env, apiKey, {
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event_type: 'run_success',
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workflow_name: token,
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duration_ms,
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agent_user_agent: userAgent,
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}, ctx);
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// kbdb-base §7.1:整體成功 → 用到的 recipe 各記成功一次。
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recordRecipeStats(env, executor.usedRecipeKeys, true, Date.now(), ctx);
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return { success: true, data: result.data, duration_ms };
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} catch (err) {
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const duration_ms = Date.now() - start;
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const errMsg = err instanceof Error ? err.message : String(err);
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const isPaused = /workflow paused/i.test(errMsg);
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// Implicit telemetry:paused 算 run_success;真錯才 run_fail
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recordTelemetry(env, apiKey, {
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event_type: isPaused ? 'run_success' : 'run_fail',
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workflow_name: token,
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error_code: isPaused ? 'paused_awaiting_resume' : 'execution_error',
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duration_ms,
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agent_user_agent: userAgent,
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}, ctx);
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// kbdb-base §7.1:真錯(非 paused)→ 用到的 recipe 各記失敗一次。
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// paused 是「執行中暫停等 callback」非失敗,不記(resume 後成功才會在那條路徑記成功)。
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if (!isPaused) {
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recordRecipeStats(env, executor.usedRecipeKeys, false, Date.now(), ctx);
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}
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if (err instanceof ExecutionError) {
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const traceFormatted = err.trace.map(s => ({
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node: s.nodeId,
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status: s.error ? 'failed' : 'success',
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...(s.error ? { error: s.error } : {}),
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}));
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return {
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success: false,
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error: errMsg,
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trace: traceFormatted,
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duration_ms,
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};
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}
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return { success: false, error: errMsg, duration_ms };
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}
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}
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