85bd2f7e519ae62ac9cea18cae06cacb0e83a26d
One-off script to populate the new device_serials array for assignments
made before the assign/unassign sync existed. Treats each device's
user_list as the source of truth and sets every user's device_serials to
exactly the matching serials, so re-running it is a no-op.
Dry run by default; --apply writes (batched, <=400 per commit).
It also reports users whose doc ID != uid field (MQTT resolves users by the
uid field), users with no uid, devices with users but no serial, and
user_list entries pointing at non-existent users. user_list entries are
accepted as DocumentReferences, "users/{id}" paths or raw doc IDs, and an
entry that matches a uid field rather than a doc ID is mapped to its doc.
Dry run against current data: 13 devices, 13 users, 11 users to update,
0 doc-ID/uid mismatches, 1 dangling user_list entry
(Cx2Va72sUzDbr1T8Ebbh on BSVSPR-26I047-STD10R-88YFJP).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
BellSystems Admin Panel
Self-hosted web admin panel for managing BellSystems devices, melodies, users, and MQTT communications.
Tech Stack
- Backend: Python / FastAPI
- Frontend: React + Tailwind CSS (Vite)
- Database: Google Firestore (Firebase Admin SDK)
- MQTT: Mosquitto (paho-mqtt)
- Auth: JWT with role-based access control
- Deployment: Docker Compose + Nginx
Getting Started
# Clone the repo
git clone <your-gitea-url>/bellsystems-admin.git
cd bellsystems-admin
# Copy env template and fill in your values
cp .env.example .env
# Place your Firebase service account key in the project root
# (file is gitignored — never commit it)
# Start everything
docker compose up --build
Project Structure
bellsystems-admin/
├── backend/ # FastAPI API server
├── frontend/ # React SPA
├── nginx/ # Reverse proxy config
├── docker-compose.yml
└── .env
Documentation
See BellSystems_AdminPanel_Strategy.md for the full architecture and build plan.
Description
BellSystems Contol Panel.
Handles everything from Devices to Clients.
Firebase / Mosquitto / Device Control / logging...
33 MiB
Languages
JavaScript
72.3%
Python
12.8%
HTML
12.4%
CSS
2.5%