Files
Arcrun/cli/src/commands/workflow.ts
T
uncle6me-web 9c9aff0046 t158 P1 素材:workflow export/import 原語(definition 端點+CLI 命令,未接線)
leo 07-31:「你要做的就是一個叫 export,另一個是 import……現在如果我要把我做的
工作流分享給同事,我要怎麼 export?他要如何 import?是缺了功能用 search 來湊嗎?」

- cypher GET /webhooks/named/:name/definition:吐可攜定義(graph+config+description
  =record 原樣)——export 的引擎端;import 端直接 POST /webhooks/named 即送進任何實例
- cli/commands/workflow.ts:acr workflow export <name>(definition→.workflow.yaml,
  flow 從 graph.edges 反推供人讀)/import <file>(graph 直 POST,零編圖零 search
  零存在性驗證=V2 純複製;手寫 yaml 無 graph → 指去 acr push)
- ⚠️ 未接線:index.ts 尚未掛 workflow 命令組(P1 收尾:接線+分享場景 A export→
  B import 驗收+parser 共用模組化)

安裝器側 P0(rag-installer 5a6539d)已用同形狀(打包期預編 graph+純上傳)上 prod。

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-31 13:49:23 +08:00

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/**
* acr workflow export <name> / acr workflow import <file> — workflow 可攜原語(t158)。
*
* leo 07-31 定調:「你要做的就是一個叫 export,另一個是 import,打包好的幾個工作流
* 準備好直接 import 就好了。現在如果我要把我做的工作流分享給同事,我要怎麼 export?
* 他要如何 import?是缺了功能用 search 來湊嗎?在從前就是寫成幾個 yaml 丟過去
* 讓新的送進 KBDB 不是嗎?」
*
* - exportGET /webhooks/named/:name/definition → 寫成 .workflow.yaml 可攜檔
* name/description/flow[從 graph.edges 反推,供人讀]/config/graph[可執行形,引擎產])。
* - import:讀可攜檔 → **直接 POST /webhooks/named**。零編圖、零 /cypher/search、
* 零存在性驗證(部署≠發現,V2 純複製)——缺件的 workflow 照樣進,跑錯再改。
* 手寫的 yaml(無 graph 欄)請走 acr push(那條才需要編圖)。
* - 安裝器走同一條路:workflows.json 打包期預編 graphpushWorkflow 直接 POST——
* 不准安裝器走私有路徑。
*/
import chalk from 'chalk';
import ora from 'ora';
import yaml from 'js-yaml';
import { readFileSync, writeFileSync } from 'node:fs';
import { loadConfig, getCypherExecutorUrl } from '../lib/config.js';
type GraphShape = {
nodes?: Array<{ id?: string }>;
edges?: Array<{ from?: string; to?: string; type?: string }>;
};
/** graph.edges → flow 三元組(人讀用;graph 才是可執行真相)。 */
function flowFromGraph(graph: GraphShape): string[] {
return (graph.edges ?? [])
.filter(e => e.from && e.to)
.map(e => `${e.from} >> ${e.type ?? 'ON_SUCCESS'} >> ${e.to}`);
}
function requireStandardConfig(): { executorUrl: string; apiKey: string } {
const config = loadConfig();
if (config.mode === 'local') {
console.error(chalk.red('Local 模式不支援 workflow export/import(需要連上實例)。'));
process.exit(1);
}
if (!config.api_key) {
console.error(chalk.red('缺少 api_keyNAMESPACE,請先 acr init。'));
process.exit(1);
}
return { executorUrl: getCypherExecutorUrl(config), apiKey: config.api_key };
}
export async function cmdWorkflowExport(name: string, options: { output?: string }): Promise<void> {
const { executorUrl, apiKey } = requireStandardConfig();
const spinner = ora(`從 ${executorUrl} 匯出 "${name}"`).start();
try {
const res = await fetch(`${executorUrl}/webhooks/named/${encodeURIComponent(name)}/definition`, {
headers: { 'X-Arcrun-API-Key': apiKey },
});
if (!res.ok) {
const err = await res.text();
spinner.fail(chalk.red(`匯出失敗(${res.status}):${err.slice(0, 200)}`));
process.exit(1);
}
const def = await res.json() as {
name: string; description: string;
graph: GraphShape; config: Record<string, unknown>;
};
const out = options.output ?? `${def.name}.workflow.yaml`;
const doc = {
name: def.name,
description: def.description,
// flow=從 graph 反推的可讀視圖;import 用的是 graph(可執行真相)
flow: flowFromGraph(def.graph),
config: def.config ?? {},
graph: def.graph,
};
writeFileSync(out, yaml.dump(doc, { lineWidth: 120, noRefs: true }), 'utf8');
spinner.succeed(chalk.green(`✓ 已匯出 → ${out}`));
console.log(chalk.gray(` 給同事:把這個檔傳過去,對方 acr workflow import ${out} 即可。`));
} catch (e) {
spinner.fail(chalk.red(`網路錯誤:${e instanceof Error ? e.message : e}`));
process.exit(1);
}
}
export async function cmdWorkflowImport(filePath: string): Promise<void> {
const { executorUrl, apiKey } = requireStandardConfig();
let doc: { name?: string; description?: string; config?: Record<string, unknown>; graph?: GraphShape };
try {
doc = yaml.load(readFileSync(filePath, 'utf8')) as typeof doc;
} catch (e) {
console.error(chalk.red(`讀不了 ${filePath}${e instanceof Error ? e.message : e}`));
process.exit(1);
}
if (!doc?.name) {
console.error(chalk.red('檔案缺 name 欄位。'));
process.exit(1);
}
if (!doc.graph || !Array.isArray(doc.graph.nodes)) {
// 手寫 yaml(只有 flow 沒 graph)=acr push 的場景(那條會編圖)。import 專吃 export 檔。
console.error(chalk.red('這個檔沒有 graph 欄位(不是 export 產物)。'));
console.log(chalk.gray('手寫的 workflow.yaml 請改用:acr push ' + filePath));
process.exit(1);
}
const spinner = ora(`匯入 "${doc.name}" → ${executorUrl}`).start();
try {
// 純複製:graph 直接送,不編圖、不打 /cypher/search、不驗零件存在(跑錯再改)。
const res = await fetch(`${executorUrl}/webhooks/named`, {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'X-Arcrun-API-Key': apiKey },
body: JSON.stringify({
name: doc.name,
graph: { ...doc.graph, id: doc.name, name: doc.name },
config: doc.config ?? {},
description: doc.description ?? '',
}),
});
if (!res.ok) {
const err = await res.text();
spinner.fail(chalk.red(`匯入失敗(${res.status}):${err.slice(0, 200)}`));
process.exit(1);
}
const data = await res.json() as { webhook_url?: string };
spinner.succeed(chalk.green(`✓ "${doc.name}" 已匯入`));
if (data.webhook_url) console.log(chalk.bold(` Webhook URL${chalk.cyan(data.webhook_url)}`));
console.log(chalk.gray(' 沒驗零件存在——跑起來若報「找不到零件」,補上零件/recipe 或改 config 再跑。'));
} catch (e) {
spinner.fail(chalk.red(`網路錯誤:${e instanceof Error ? e.message : e}`));
process.exit(1);
}
}