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2.1 KiB
2.1 KiB
Python-first
- Primary GUI framework:
PySide6(Qt for Python) — native desktop look, cross-platform on Windows and Linux, mature widget set, good documentation. - Desktop architecture: keep the core downloader logic as a Python package and expose a local HTTP/WebSocket API (e.g.,
FastAPI) that the GUI talks to. The GUI stays a thin client that issues commands and receives status updates.
Why this approach
- Stay in Python end-to-end for now, minimizing new languages or runtimes.
- A local API boundary lets you reuse the same backend for a future Web frontend (React/Next.js or plain SPA) and for Android (native or Flutter shell that talks to the API or a hosted API).
PySide6provides a polished native desktop UX and easier packaging for Windows/Linux compared with Python mobile toolkits.
Packaging & Distribution (brief)
- Bundle the backend and GUI into one distributable. The GUI should spawn the local API process (background subprocess) on startup.
- Windows: use
pyinstallerorbriefcaseto create an executable/installer. Consider creating an MSI or Inno Setup installer for a polished UX. - Linux: provide AppImage, Snap, or distribution-specific packages (deb/rpm) — AppImage is a good starting point for single-file distribution.
- Security: bind the local API to
localhostonly, use a short-lived token or IPC for authentication between GUI and backend, and avoid exposing unnecessary ports.
Roadmap (GUI → Web → Mobile)
- Desktop prototype:
FastAPIbackend +PySide6GUI (thin client) with basic playlist add/update/download controls and status streaming. - Packaging: create Windows exe/installer and Linux AppImage for the prototype.
- Web frontend: build a web SPA that consumes the same backend API (hosted or local) — this reuses business logic with minimal change.
- Android: either a native app or cross-platform UI (Flutter/React Native) that calls the backend API; alternatively host the backend and make a thin mobile client.
If you want, I can now: scaffold a minimal FastAPI backend and PySide6 desktop starter in this repo, or produce concise packaging steps for Windows and Linux. Which do you prefer?