streamlift-worker
Distributed download worker for StreamLift.
Designed to run in Google Colab — paste the one-liner from the dashboard and go.
What it does
- Registers itself with the StreamLift backend
- Polls for download tasks (HTTP URLs or magnet links)
- Downloads files and streams them directly to Mega (zero local disk) or saves them locally
- Reports live progress back to the backend
- Sends heartbeats with CPU / RAM / network metrics
Install & run (Colab cell)
The StreamLift UI generates this for you with all credentials pre-filled:
!pip install -q requests psutil
!pip install -q streamlift-megapy
!pip install -q git+https://github.com/shubhra92/streamlift-worker.git
!streamlift-worker \
--worker-id "your-worker-uuid" \
--auth-token "your-auth-token" \
--api-url "https://your-app.com" \
--compute-type "medium" \
--location "mega" \
--mega-email "you@example.com" \
--mega-password "yourpassword"
CLI flags
| Flag | Required | Description |
|---|---|---|
--worker-id |
✅ | Worker UUID from the StreamLift dashboard |
--auth-token |
✅ | Auth token for this worker |
--api-url |
✅ | StreamLift backend base URL |
--compute-type |
✅ | Resource profile: low | medium | high |
--location |
✅ | Where to store files: local | mega |
--mega-email |
⚠️ | Required when --location=mega |
--mega-password |
⚠️ | Required when --location=mega |
Package structure
streamlift_worker/
├── __init__.py # version
├── __main__.py # CLI entry point & arg parsing
├── config.py # WorkerConfig dataclass
├── worker.py # main loop, registration, heartbeat thread
├── downloader.py # HTTP + torrent download handlers
├── mega.py # Mega upload helpers (uses streamlift-megapy)
├── api.py # all HTTP calls to the backend
├── metrics.py # CPU / RAM / network metrics
└── logger.py # in-process log queue
1 maintainer
Metadata
1 maintainer
Release files for streamlift-worker 1.7.1
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