arcrun — AI workflow execution engine (clean history)
Self-hosted 開源:WASM 零件 + recipe + cypher-executor,跑在你自己的 Cloudflare。 此為重建的乾淨歷史起點(移除曾誤 commit 的 GCP SA 金鑰,舊歷史保留在 richblack/arcrun 與本地 backup 分支)。含: - acr init --self-hosted installer(建 KV/R2 + codeload 拉預編譯 wasm + wrangler deploy + seed recipe) - recipe push 把關(資料外流提醒 + 打通檢查) - 19 個正當零件預編譯 wasm(claude_api/km_writer/kbdb_upsert_block 排除:違反 DECISIONS §1) - CLI / cypher-executor / registry / 完整 SDD Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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/**
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* Execution Logger — 執行結果寫入 ANALYTICS_KV(fire-and-forget)
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*
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* 設計:每次 workflow 執行後,將統計數據寫入 ANALYTICS_KV(key = stats:{workflowId})。
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* Phase 7 可升級為 POST 至 registry.arcrun.dev/analytics/record。
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*/
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import type { Bindings, GraphNode } from '../types';
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export interface ExecutionVerdict {
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workflow_id: string;
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component_ids: string[];
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verdict: 'success' | 'failed';
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duration_ms: number;
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message: string;
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recorded_at: string;
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}
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/**
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* 寫入執行結果至 ANALYTICS_KV(fire-and-forget,不阻擋主流程)
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* 由 c.executionCtx.waitUntil() 包裹呼叫
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*/
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export async function writeExecutionVerdict(
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env: Bindings,
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workflowId: string,
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nodes: GraphNode[],
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verdict: 'success' | 'failed',
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durationMs: number,
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message: string,
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): Promise<void> {
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try {
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const componentIds = nodes
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.filter(n => n.type === 'Component' && n.componentId)
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.map(n => n.componentId!);
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const record: ExecutionVerdict = {
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workflow_id: workflowId,
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component_ids: componentIds,
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verdict,
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duration_ms: durationMs,
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message,
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recorded_at: new Date().toISOString(),
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};
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// ANALYTICS_KV key = stats:{workflowId}:{timestamp}(避免覆蓋)
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const key = `stats:${workflowId}:${Date.now()}`;
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await env.ANALYTICS_KV.put(key, JSON.stringify(record), {
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expirationTtl: 60 * 60 * 24 * 90, // 保留 90 天
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});
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} catch {
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// fire-and-forget:不拋錯,不影響主流程
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}
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}
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