vehk-axle 2.0.0

Official Python SDK for Vehk Axle Fleet Management, GPS Tracking & Predictive Maintenance Platform

Vehk Axle Python SDK

Official Python SDK for the Vehk Axle Fleet Management, GPS Tracking & Predictive Maintenance Platform.

Installation

pip install vehk-axle

What's New in v2.0.0

• GPS Tracking API - Send and retrieve real-time device location data
• Device Management API - List devices and get fleet-wide locations
• Scoped Permissions - Granular API key scopes (telemetry:write, tracking:read, etc.)
• Enforced Rate Limits - Per-key sliding window rate limiting (default 60 req/min)
• New Models - TrackingData and DeviceLocation dataclasses

Quick Start

from vehk_axle import VehkClient

client = VehkClient(api_key="vehk_your_api_key_here")

# Send telemetry data
response = client.telemetry.send(
    vehicle_id="VH-001",
    sensor_data={
        "speed": 65,
        "rpm": 2500,
        "coolant_temp": 92,
        "fuel_level": 45,
        "battery_voltage": 12.6
    }
)
print(f"Telemetry sent: {response['telemetry_id']}")

# Send GPS tracking data from a device
client.tracking.send(
    device_id="dev-abc123",
    latitude=12.9716,
    longitude=77.5946,
    speed=45.2,
    ignition=True
)

# Get ML prediction
prediction = client.predict(
    vehicle_id="VH-001",
    sensor_data={"speed": 65, "rpm": 2500, "coolant_temp": 92}
)
print(f"Health Score: {prediction.health_score}%")
print(f"Status: {prediction.health_status.value}")
print(f"Critical: {prediction.is_critical}")

Features

Telemetry Ingestion

Send real-time sensor data from your vehicles:

# Single telemetry point
client.telemetry.send(
    vehicle_id="VH-001",
    sensor_data={"speed": 65, "rpm": 2500},
    timestamp="2026-03-26T10:00:00Z",
    location={"lat": 12.97, "lng": 77.59}
)

# Batch telemetry (up to 100 at a time)
batch_result = client.telemetry.send_batch([
    {"vehicle_id": "VH-001", "sensor_data": {"speed": 65}},
    {"vehicle_id": "VH-002", "sensor_data": {"speed": 70}},
    {"vehicle_id": "VH-003", "sensor_data": {"speed": 55}},
])
print(f"Processed: {batch_result.records_processed}")

GPS Tracking (v2.0)

Send and retrieve GPS tracking data from configured devices:

# Send a single tracking data point
client.tracking.send(
    device_id="dev-abc123",
    latitude=12.9716,
    longitude=77.5946,
    speed=45.2,
    heading=180,
    ignition=True,
    event="periodic"
)

# Batch tracking (up to 100 at a time)
client.tracking.send_batch([
    {"device_id": "dev-1", "latitude": 12.97, "longitude": 77.59, "speed": 45},
    {"device_id": "dev-2", "latitude": 13.01, "longitude": 77.61, "speed": 30},
])

# Get all device locations (real-time fleet map)
locations = client.tracking.locations()
for loc in locations:
    print(f"{loc['device_id']}: {loc['latitude']}, {loc['longitude']}")

# Get a single device location
loc = client.tracking.location("dev-abc123")
print(f"Speed: {loc['speed']} km/h, Ignition: {loc['ignition']}")

Device Management (v2.0)

List and query devices registered to your tenant:

# List all devices
devices = client.devices.list()
for d in devices:
    print(f"{d['device_id']}: {d.get('status', 'unknown')}")

# Filter by status
active = client.devices.list(status="active")

Predictions

Get AI-powered predictions for vehicle health:

prediction = client.predictions.get(
    vehicle_id="VH-001",
    sensor_data={"speed": 65, "rpm": 2500, "coolant_temp": 92}
)

print(f"Health Score: {prediction.health_score}")
print(f"Risk Level: {prediction.risk_level.value}")

if prediction.needs_maintenance:
    for alert in prediction.maintenance_alerts:
        print(f"  {alert.type}: {alert.description}")

for rec in prediction.recommendations:
    print(f"  {rec}")

# List recent predictions
recent = client.predictions.list(vehicle_id="VH-001", limit=10)
for p in recent:
    print(f"{p.vehicle_id}: {p.health_score}%")

Vehicle Management

vehicles = client.vehicles.list()
for vehicle in vehicles:
    print(f"{vehicle.vehicle_id}: Health {vehicle.health_score}%")

Error Handling

from vehk_axle import (
    VehkClient,
    VehkAuthenticationError,
    VehkRateLimitError,
    VehkConnectionError,
    VehkAPIError,
)

try:
    client = VehkClient(api_key="vehk_your_key")
    prediction = client.predict("VH-001", {"speed": 65})

except VehkAuthenticationError:
    print("Invalid API key. Check your credentials.")

except VehkRateLimitError as e:
    print(f"Rate limit hit. Retry after {e.retry_after} seconds.")

except VehkConnectionError:
    print("Could not connect to Vehk API. Check your network.")

except VehkAPIError as e:
    print(f"API error [{e.status_code}]: {e.message}")

API Scopes (v2.0)

API keys now enforce granular permission scopes:

Scope	Description
telemetry:write	Send telemetry data
telemetry:read	Read telemetry history
tracking:write	Send GPS tracking data
tracking:read	Read device locations
devices:read	List devices
predict	Request ML predictions
vehicles:read	List vehicles

Configuration

Custom Base URL

client = VehkClient(
    api_key="vehk_your_key",
    base_url="https://api-staging.vehk.in"
)

Timeout & Retries

client = VehkClient(
    api_key="vehk_your_key",
    timeout=60,
    retries=5,
    retry_delay=2.0
)

Context Manager

with VehkClient(api_key="vehk_your_key") as client:
    prediction = client.predict("VH-001", {"speed": 65})

Health Check

health = client.health_check()
print(f"Status: {health['status']}")
print(f"Version: {health['version']}")

Supported Sensor Fields

Field	Description	Unit
speed	Vehicle speed	km/h
rpm	Engine RPM	RPM
coolant_temp	Coolant temperature	°C
fuel_level	Fuel level	%
battery_voltage	Battery voltage	V
oil_pressure	Oil pressure	PSI
throttle	Throttle position	%
intake_air_temp	Intake air temperature	°C
ambient_temp	Ambient temperature	°C
odometer	Odometer reading	km

Requirements

• Python 3.8+
• requests library

Getting Your API Key

1. Log in to Vehk Dashboard
2. Go to Settings > API Keys
3. Click "Generate New Key"
4. Copy the key (shown only once)

Support

• Documentation
• Email: [e-mail]
• Discord Community

License

MIT License - see LICENSE for details.