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//! Work queue port — distributed task execution interface
//!
//! Defines the abstractions required to distribute pipeline node execution
//! across multiple workers (local threads, remote processes, or serverless
//! workers such as Spin components).
//!
//! # Architecture
//!
//! ```text
//! DagExecutor
//! │ (wave N ready)
//! ▼
//! WorkQueuePort::enqueue(tasks…)
//! │
//! ├─► Worker 1: dequeue → execute node → acknowledge
//! ├─► Worker 2: dequeue → execute node → acknowledge
//! └─► Worker N: dequeue → execute node → acknowledge
//! │
//! collect_results(pipeline_id) → Vec<(node_name, ServiceOutput)>
//! ```
use crateResult;
use async_trait;
use ;
// ─────────────────────────────────────────────────────────────────────────────
// Domain types
// ─────────────────────────────────────────────────────────────────────────────
/// A single unit of work: one pipeline node that needs to be executed.
///
/// Tasks are serialisable so they can be transmitted to remote workers via
/// Redis Streams, Kafka, HTTP, or any other transport.
///
/// # Example
///
/// ```
/// use stygian_graph::ports::work_queue::WorkTask;
/// use serde_json::json;
///
/// let task = WorkTask {
/// id: "01HX...".to_string(),
/// pipeline_id: "pipeline-abc".to_string(),
/// node_name: "fetch-homepage".to_string(),
/// input: json!({"url": "https://example.com"}),
/// wave: 0,
/// attempt: 0,
/// idempotency_key: "ik-01HX".to_string(),
/// };
/// assert_eq!(task.node_name, "fetch-homepage");
/// ```
/// Lifecycle status of a [`WorkTask`].
///
/// # Example
///
/// ```
/// use stygian_graph::ports::work_queue::TaskStatus;
///
/// let status = TaskStatus::Pending;
/// assert!(matches!(status, TaskStatus::Pending));
/// ```
// ─────────────────────────────────────────────────────────────────────────────
// Port trait
// ─────────────────────────────────────────────────────────────────────────────
/// Port: distributed work queue for pipeline node execution.
///
/// Implementations can range from an in-process [`VecDeque`] (for local
/// single-node setups) to Redis Streams, Kafka, or Spin KV store for
/// multi-worker deployments.
///
/// [`VecDeque`]: std::collections::VecDeque
///
/// # Example
///
/// ```
/// use stygian_graph::ports::work_queue::{WorkTask, WorkQueuePort};
/// use stygian_graph::adapters::distributed::LocalWorkQueue;
/// use serde_json::json;
///
/// # tokio::runtime::Runtime::new().unwrap().block_on(async {
/// let queue = LocalWorkQueue::new();
/// let task = WorkTask {
/// id: "t1".to_string(),
/// pipeline_id: "p1".to_string(),
/// node_name: "fetch".to_string(),
/// input: json!({"url": "https://example.com"}),
/// wave: 0,
/// attempt: 0,
/// idempotency_key: "ik-t1".to_string(),
/// };
/// queue.enqueue(task).await.unwrap();
/// let dequeued = queue.try_dequeue().await.unwrap();
/// assert!(dequeued.is_some());
/// # });
/// ```