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How the Auto-DAG task lifecycle works — task states, dependency resolution, and common pitfalls
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| name | auto-dag-task-lifecycle |
| description | How the Auto-DAG task lifecycle works — task states, dependency resolution, and common pitfalls |
Tasks in the DAG follow a state machine: pending → ready → running → done/skipped/failed.
| State | Meaning |
|---|---|
pending | Dependencies not yet satisfied |
ready | All dependencies satisfied, files available for lock |
running | Delegated to an agent |
done | Completed successfully |
skipped | Skipped (e.g., superseded by another task) |
failed | Failed after attempts |
The resolveReady() method promotes pending tasks to ready when their dependencies complete. It is called reactively inside completeTask(), skipTask(), and cancelTask().
When adding tasks whose dependencies are already done, the task must be set to ready not pending. The resolveReady() method must also be called after batch task creation (declareTaskBatch) to catch tasks with pre-completed deps.
Tasks added after their deps complete can get stuck in pending if dependency satisfaction isn't checked at creation time. findReadyTask() has a safety net that auto-promotes stuck pending tasks, but this is a fallback — not the primary mechanism.
After calling declareTaskBatch(), always call resolveReady() to promote any tasks whose deps are already satisfied.
