cyberwave 0.2.1

Python SDK for Cyberwave

Cyberwave Python SDK

The official Python SDK for Cyberwave. Create, control, and simulate robotics with ease.

Installation

pip install cyberwave

Quick Start

1. Get Your Token

Get your API token from the Cyberwave platform:

• Log in to your Cyberwave instance
• Navigate to Settings → API Tokens
• Copy your token

2. Create Your First Digital Twin

import cyberwave as cw

# Configure with your token
cw.configure(
    token="your_token_here",
)

# Create a digital twin from an asset
robot = cw.twin("the-robot-studio/so101")

# Control position and rotation
robot.move(x=1.0, y=0.0, z=0.5)
robot.rotate(yaw=90)  # degrees

# Control robot joints (for URDF assets)
robot.joints.shoulder_joint = 45  # degrees
robot.joints.elbow_joint = -30

# Get current joint positions
print(robot.joints.get_all())

Core Features

Working with Workspaces and Projects

from cyberwave import Cyberwave

client = Cyberwave(
    token="your_token_here"
)

# List workspaces
workspaces = client.workspaces.list()
print(f"Found {len(workspaces)} workspaces")

# Create a project
project = client.projects.create(
    name="My Robotics Project",
    workspace_id=workspaces[0].uuid
)

# Create an environment
environment = client.environments.create(
    name="Development",
    project_id=project.uuid
)

Managing Assets and Twins

# Search for assets
assets = client.assets.search("robot")

# Create a twin from an asset
twin_data = client.twins.create(
    asset_id=assets[0].uuid,
    environment_id=environment.uuid,
    name="Robot-01"
)

# Use the high-level Twin API
from cyberwave import Twin
robot = Twin(client, twin_data)

# Move to a specific position
robot.move_to([1.0, 0.5, 0.0])

# Update scale
robot.scale(x=1.5, y=1.5, z=1.5)

# Delete when done
robot.delete()

Real-time Updates with MQTT

# Define callback for position updates
def on_position_change(data):
    print(f"Twin moved to: {data}")

# Subscribe to real-time updates
client.mqtt.subscribe_twin_position("twin_uuid", on_position_change)

# Publish position updates
client.mqtt.publish_twin_position(
    twin_id="twin_uuid",
    x=1.0, y=0.0, z=0.5
)

# Subscribe to joint states
def on_joint_update(data):
    print(f"Joint states: {data}")

client.mqtt.subscribe_joint_states("twin_uuid", on_joint_update)

Video Streaming (WebRTC)

Stream camera feeds to your digital twins using WebRTC:

# Install with camera support
pip install cyberwave[camera]

import asyncio
from cyberwave import Cyberwave

# Initialize client
client = Cyberwave(token="your_token_here")

# Create camera streamer - integrated into the Cyberwave client!
streamer = client.video_stream(
    twin_uuid="your_twin_uuid",
    camera_id=0,  # Default camera
    fps=10        # Frames per second
)

# Start streaming
async def stream_camera():
    await streamer.start()
    # Stream runs until stopped
    await asyncio.sleep(60)  # Stream for 60 seconds
    await streamer.stop()

# Run the async function
asyncio.run(stream_camera())

The video_stream() method:

• Automatically uses the client's MQTT connection
• Pre-configures the streamer with the twin UUID
• Handles WebRTC peer connection setup
• Manages ICE candidate gathering with STUN/TURN servers
• Handles video encoding and streaming

Configuration Options

You can also set your token as environment variable:

export CYBERWAVE_TOKEN="your_token_here"

import cyberwave as cw

# SDK will automatically load from environment variables
robot = cw.twin("the-robot-studio/so101")

Programmatic Configuration

import cyberwave as cw

cw.configure(
    token="your_token_here",              # Bearer token
    environment="env_uuid",                # Default environment
    workspace="workspace_uuid",            # Default workspace
)

Advanced Usage

Context Manager for Cleanup

from cyberwave import Cyberwave

with Cyberwave(token="YOURTOKEN") as client:
    twins = client.twins.list()
    for twin in twins:
        print(twin.name)
# Automatically disconnects MQTT and cleans up resources

Joint Control

You can change a specific joint actuation. You can use degrees or radiants:

robot = cw.twin("the-robot-studio/so101")

# Set individual joints (degrees by default)
robot.joints.set("shoulder_joint", 45, degrees=True)

# Or use radians
import math
robot.joints.set("elbow_joint", math.pi/4, degrees=False)

# Get current joint position
angle = robot.joints.get("shoulder_joint")

# List all joints
joint_names = robot.joints.list()

# Get all joint states at once
all_joints = robot.joints.get_all()

API Reference

Cyberwave Client

• client.workspaces - Workspace management
• client.projects - Project management
• client.environments - Environment management
• client.assets - Asset catalog operations
• client.twins - Digital twin CRUD operations
• client.mqtt - Real-time MQTT client

Twin Class

• twin.move(x, y, z) - Move twin to position
• twin.move_to([x, y, z]) - Move to position array
• twin.rotate(yaw, pitch, roll) - Rotate using euler angles
• twin.rotate(quaternion=[x,y,z,w]) - Rotate using quaternion
• twin.scale(x, y, z) - Scale the twin
• twin.joints - Joint controller for robot manipulation
• twin.delete() - Delete the twin
• twin.refresh() - Reload twin data from server

Examples

Check the SDK repository for complete examples:

• Basic twin control
• Multi-robot coordination
• Real-time synchronization
• Joint manipulation for robot arms

Testing

Unit Tests

Run basic import tests:

poetry install
poetry run python tests/test_imports.py

Support

• Documentation: cyberwave.com/docs
• Issues: GitHub Issues