⚡ Live Sandbox: AI Dev Tool: SparrowMap Cameras that

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```python
# AI Dev Tool: SparrowMap Government Vehicle Tracker
# Description: A production-ready boilerplate for tracking government vehicles using SparrowMap cameras
# Category: Production Starter Boilerplate
# Technologies: FastAPI, Supabase, Next.js

# Import required libraries
from fastapi import FastAPI, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
from supabase import create_client, Client
from nextjs import NextJsApp
from typing import List, Optional

# Initialize FastAPI app
app = FastAPI()

# Initialize Supabase client
supabase_url: str = "https://your-supabase-instance.com"
supabase_key: str = "your-supabase-key"
supabase: Client = create_client(supabase_url, supabase_key)

# Define authentication scheme
auth_scheme = HTTPBearer()

# Define government vehicle model
class GovernmentVehicle(BaseModel):
    id: int
    license_plate: str
    location: str
    camera_id: int

# Define camera model
class Camera(BaseModel):
    id: int
    location: str
    government_vehicle_id: int

# Define route for getting government vehicles
@app.get("/government-vehicles

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