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🏔️ Vela Platform
Self-hosted P&L tracking for C2C server/storage businesses.
Track revenue, costs, and margins across multiple service offers with granular component-level pricing. No SaaS fees, no subscriptions — just Python + SQLite.
📸 Quick Overview
| Page | What it does |
|---|---|
Dashboard / |
P&L cards (revenue/cost/margin), 12-month trend chart, active offers |
Transactions /transactions |
Log monthly revenue per client, filter by month, auto-summary |
Offers /services |
View/edit component pricing (HDD, RAM, CPU, Support, Transport...), auto-computed totals |
🏔️ Offers
| Offer | Description | Sell | Cost | Margin | Components |
|---|---|---|---|---|---|
| Atlas | 1TB Storage | 4,000 MAD | 2,000 MAD | 2,000 MAD | 7 |
| Atlas+ | 1TB + Sauvegarde | 5,000 MAD | 2,800 MAD | 2,200 MAD | 9 |
| Rif | 500GB Server | 3,500 MAD | 1,700 MAD | 1,800 MAD | 7 |
| Rif+ | 500GB + Sauvegarde | 4,500 MAD | 2,200 MAD | 2,300 MAD | 9 |
🔧 Component-Level Pricing
Each offer has a granular breakdown of costs and sell prices. Edit any component independently — totals auto-recompute:
HDD (1TB) cost: 600 MAD ×1 sell: 1,000 MAD → margin: 400 MAD
RAM (16GB) cost: 300 MAD ×1 sell: 500 MAD → margin: 200 MAD
CPU alloc cost: 200 MAD ×1 sell: 400 MAD → margin: 200 MAD
Bandwidth cost: 200 MAD ×1 sell: 500 MAD → margin: 300 MAD
Support cost: 200 MAD ×1 sell: 700 MAD → margin: 500 MAD
────────────────────────────────────────────────────────────
Total cost: 2,000 MAD sell: 4,000 MAD margin: 2,000 MAD
🚀 Quick Start
Prerequisites
- Python 3.11+
- pip or uv
Install
# Clone
git clone http://192.168.1.160:3000/fedora-heremes/vela-platform.git
cd vela-platform
# Install deps
cd backend
pip install -r requirements.txt
# Run
uvicorn main:app --host 0.0.0.0 --port 8788
The app auto-creates the database and seeds demo data on first run.
systemd (auto-start)
# ~/.config/systemd/user/vela-platform.service
[Unit]
Description=Vela Platform — P&L Tracking App
[Service]
ExecStart=%h/vela-platform/backend/venv/bin/uvicorn main:app --host 0.0.0.0 --port 8788
WorkingDirectory=%h/vela-platform/backend
Restart=always
[Install]
WantedBy=default.target
systemctl --user daemon-reload
systemctl --user enable --now vela-platform.service
👥 Users
| User | Role | Password |
|---|---|---|
admin |
Owner (full access) | admin123 |
viewer |
Read-only | viewer123 |
🔌 API
All CRUD operations available via REST API. Authenticate with Bearer token.
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/auth/login |
Login |
| GET | /api/services |
List offers + components |
| POST | /api/services/{id}/components |
Add component |
| PUT | /api/components/{id} |
Update component |
| DELETE | /api/components/{id} |
Delete component |
| GET | /api/transactions?month=YYYY-MM |
List transactions |
| POST | /api/transactions |
Add transaction |
| GET | /api/pnl?month=YYYY-MM |
P&L report |
| GET | /api/dashboard |
Overview + trend |
🤖 MCP Integration
Use with AI agents via MCP (Model Context Protocol). Tools available:
get_services()— Full offers with component breakdownsget_service(id)— Single offer detailadd_component(...)— Add component to an offerupdate_component(...)— Update a componentdelete_component(id)— Delete a componentadd_transaction(...)— Log a saleget_pnl(month)— P&L for a monthget_dashboard()— Current overview
🧱 Tech Stack
- Python 3 + FastAPI — API & web server
- SQLite + SQLAlchemy — Database (zero config)
- Jinja2 + Bootstrap 5 — Web UI (dark mode)
- Chart.js — Trend charts
- JWT — Auth (cookie + Bearer)
- MCP — AI agent integration
📄 License
MIT
Description
Languages
Python
54.1%
HTML
45.9%