runtime
このコンテンツはまだ日本語訳がありません。
runtime
Section titled “runtime”Block: runtime configuration (timeouts, limits) for execution
Translations
Section titled “Translations”- en: runtime
- de: Laufzeit
- es: entorno de ejecución / entorno de ejecucion / ejecución / ejecucion
- fr: environnement d’exécution / environnement d’execution / exécution / execution
- ja: 実行環境
- ko: 실행환경
- zh: 运行时
Example — Loops, schedules and parallel work
Section titled “Example — Loops, schedules and parallel work”Builds a daily digest: runs on a schedule, works through a list, does two things at once, repeats until done, starts another machine and waits for an answer.
machine daily_digest accepts urls as list of text, is required responds with summary as text behaves runtime timeout: 5000 lifecycle on_start: warm schedules daily: "07:00" run gather go to deliver flows flow gather for each url in input.urls accumulate pages from [] compute fetch_one {page: url} together flow compute part_a {x: 1} flow compute part_b {y: 2} while spin loop.c < 3 accumulate c from 0 compute bump {c: loop.c + 1} until steps.bump.c > 2 compute retry_bump {c: steps.bump.c + 1} flow deliver match input.urls when [] {summary: "nothing to send"} otherwise {summary: "digest ready"} launch notifier target: mail_service wait for approval event: "digest.approved" publish "digest.sent" on failure compute recover {summary: "failed"} ensures permissions allowed to call event.publish verifies test "gathers pages and delivers the digest" assuming notifier {launched: true} given {urls: ["https://a.com"]} resuming approval expect {summary: "digest ready"}