# Windows Setup — Atomizer Job Queue

## Quick Setup

1. Copy this folder to `C:\Atomizer\` on Windows
2. Create the job queue directories:
   ```powershell
   mkdir C:\Atomizer\job-queue\pending
   mkdir C:\Atomizer\job-queue\running
   mkdir C:\Atomizer\job-queue\completed
   mkdir C:\Atomizer\job-queue\failed
   ```
3. Set up Syncthing to sync `C:\Atomizer\job-queue\` ↔ `/home/papa/atomizer/job-queue/`
4. Edit `atomizer_job_watcher.py` — update `CONDA_PYTHON` path if needed

## Running the Watcher

### Manual (recommended for now)
```powershell
conda activate atomizer
python C:\Atomizer\atomizer_job_watcher.py
```

### Process single pending job
```powershell
python C:\Atomizer\atomizer_job_watcher.py --once
```

### As a Windows Service (optional)
```powershell
# Install NSSM: https://nssm.cc/
nssm install AtomizerJobWatcher "C:\Users\antoi\anaconda3\envs\atomizer\python.exe" "C:\Atomizer\atomizer_job_watcher.py"
nssm set AtomizerJobWatcher AppDirectory "C:\Atomizer"
nssm start AtomizerJobWatcher
```

## How It Works

1. Agents on Linux write job directories to `/job-queue/outbox/`
2. Syncthing syncs to `C:\Atomizer\job-queue\pending\`
3. Watcher picks up new jobs, runs them, moves to `completed/` or `failed/`
4. Results sync back to Linux via Syncthing
5. Agents detect completed jobs and process results

## Note
For Phase 0, Antoine runs `python run_optimization.py` manually instead of using the watcher.
The watcher is for Phase 1+ when the workflow is more automated.