48 lines
1.5 KiB
Markdown
48 lines
1.5 KiB
Markdown
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# Windows Setup — Atomizer Job Queue
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## Quick Setup
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1. Copy this folder to `C:\Atomizer\` on Windows
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2. Create the job queue directories:
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```powershell
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mkdir C:\Atomizer\job-queue\pending
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mkdir C:\Atomizer\job-queue\running
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mkdir C:\Atomizer\job-queue\completed
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mkdir C:\Atomizer\job-queue\failed
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```
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3. Set up Syncthing to sync `C:\Atomizer\job-queue\` ↔ `/home/papa/atomizer/job-queue/`
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4. Edit `atomizer_job_watcher.py` — update `CONDA_PYTHON` path if needed
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## Running the Watcher
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### Manual (recommended for now)
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```powershell
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conda activate atomizer
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python C:\Atomizer\atomizer_job_watcher.py
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```
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### Process single pending job
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```powershell
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python C:\Atomizer\atomizer_job_watcher.py --once
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```
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### As a Windows Service (optional)
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```powershell
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# Install NSSM: https://nssm.cc/
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nssm install AtomizerJobWatcher "C:\Users\antoi\anaconda3\envs\atomizer\python.exe" "C:\Atomizer\atomizer_job_watcher.py"
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nssm set AtomizerJobWatcher AppDirectory "C:\Atomizer"
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nssm start AtomizerJobWatcher
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```
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## How It Works
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1. Agents on Linux write job directories to `/job-queue/outbox/`
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2. Syncthing syncs to `C:\Atomizer\job-queue\pending\`
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3. Watcher picks up new jobs, runs them, moves to `completed/` or `failed/`
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4. Results sync back to Linux via Syncthing
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5. Agents detect completed jobs and process results
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## Note
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For Phase 0, Antoine runs `python run_optimization.py` manually instead of using the watcher.
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The watcher is for Phase 1+ when the workflow is more automated.
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