PAGI-Server
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# Async Job Runner - PAGI Demo
A real-time job queue dashboard demonstrating PAGI's async capabilities with HTTP, SSE, and WebSocket protocols working together.
> **This copy is deliberately IO::Async-bound, and that is the point.** The
> background worker tick, the WebSocket keepalive ping and the per-job delays
> use `IO::Async::Timer::Periodic` and `::Countdown`, obtaining the loop via
> `IO::Async::Loop` in application code. It therefore runs only under an
> IO::Async-based server such as PAGI::Server.
>
> **It is not the recommended approach.** A PAGI application should name no
> event loop. The loop-agnostic version of this same example lives in the spec
> repository at `PAGI/examples/11-job-runner`, where every timer is a
> `Future::IO->sleep` and the application runs unchanged under any conforming
> server. Compare the two if you want the diff.
>
> It is kept here because binding the loop is a real choice with real
> benefits, and pretending otherwise would be dishonest. Reaching directly for
> `IO::Async::Timer::*` gives you the whole timer API -- rescheduling,
> adjustable intervals, `IO::Async::Function`, the rest of the ecosystem --
> rather than only the ability to sleep. If you know your deployment is
> PAGI::Server and you accept the trade, this is what that looks like.
>
> The trade: the application no longer runs under a non-IO::Async PAGI server,
> and the coupling does not stay in one file. Here it reaches five, because a
> loop handed in at startup gets threaded wherever timing is needed. That
> spread is the real cost, and it is easier to see in a worked example than to
> describe.
## Running
From the PAGI root directory:
```bash
perl -Ilib -Iexamples/11-job-runner/lib bin/pagi-server \
--app examples/11-job-runner/app.pl --port 5001
```
Then open http://localhost:5001 in your browser.
## Features
- **Real-time job queue** - Create countdown jobs and watch them execute
- **Live progress streaming** - SSE updates show second-by-second progress
- **WebSocket dashboard** - Queue-wide updates pushed to all connected clients
- **Concurrent execution** - Worker processes up to 3 jobs simultaneously
## Architecture
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```
## API Endpoints
| Method | Endpoint | Description |
|--------|----------|-------------|
| GET | `/api/stats` | Queue and worker statistics |
| GET | `/api/job-types` | Available job types |
| GET | `/api/jobs` | List all jobs |
| POST | `/api/jobs` | Create a new job |
| GET | `/api/jobs/:id` | Get job details |
| DELETE | `/api/jobs/:id` | Cancel a job |
| GET | `/api/jobs/:id/progress` | SSE progress stream |
## WebSocket Protocol
Connect to `/ws/queue` for real-time updates.
**Server -> Client:**
- `queue_state` - Full state on connect
- `job_created` - New job added
- `job_started` - Job began executing
- `job_progress` - Progress update
- `job_completed` - Job finished successfully
- `job_failed` - Job failed with error
( run in 1.163 second using v1.01-cache-2.11-cpan-5c0b1e786e0 )