viam-sdk 0.4.5rc2

Viam Robotics Python SDK

Viam Python SDK

Installation

Currently, we have pre-built binaries for macOS (both Intel and Apple Silicon), along with Linux (x86, aarch64, armv6l) that you can install via pip

pip install viam-sdk

If your system is not supported, read further on how to install from source.

Upgrading

To upgrade, simply run the pip install command with the -U option: pip install -U viam-sdk

Installing from Source

The Viam Python SDK uses native libraries to support communication over WebRTC, which will allow you to connect to robots that are not on the same network. In order to facilitate that communication, there is a Rust utils repo that contains the necessary protocols. Therefore, to build from source, you will need both the Rust utils and the Rust compiler.

1. Download/clone this repository
2. Download/clone the Rust utils
3. Install Rust if not already available
4. From the rust-utils directory, run cargo build
   • You can optionally provide the --release flag: cargo build --release
5. Find the compiled library in rust-utils/target/debug/libviam_rust_utils.*
   • If you provided the --release flag, the enclosing directory will be release: rust-utils/target/release/libviam_rust_utils.*
   • The extension of the executable will depend on your operating system. For example, on macOS it will be libviam_rust_utils.dylib, whereas on Linux it will be libviam_rust_utils.so
6. Copy the compiled library to the directory viam-python-sdk/src/viam/rpc/
7. From the viam-python-sdk directory, run poetry build to create an installable package
8. Find the newly created installable package located in viam-python-sdk/dist/ and pip install it directly, e.g.: pip install viam-python-sdk/dist/viam_sdk-0.1.0-py3-none-any.whl

If you do NOT need communication over WebRTC (and thus, do not need the native library), the steps are:

1. Download/clone this repository
2. Run poetry build from the viam-python-sdk directory
3. Find the newly created installable package located in viam-python-sdk/dist/ and pip install it directly, e.g.: pip install viam-python-sdk/dist/viam_sdk-0.1.0-py3-none-any.whl
4. Ensure that every connection has the option disable_webrtc set to True: viam.rpc.dial.DialOptions(disable_webrtc=True)
   • For more information about connecting to a robot, see the documentation and example usage

Configure a client application at app.viam.com

Your client application does not directly interact with your hardware. Instead, your client application makes calls to the viam-server which can then issue commands to your hardware or read from sensors.

To create a client application, to navigate to app.viam.com. After you log in, perform these steps:

1. Create a location (for example home)
2. Create a robot (for example arduino)
3. Follow the steps on the setup tab:
   1. Setup Viam App Config on Single Board Computer (SBC)
   2. Download and Install Viam Server
   3. Wait until the robot shows as connected. If this doesn't happen try restarting the viam-server:

      sudo systemctl restart viam-server
      

Next, select the CODE SAMPLE tab in the Viam Web UI, and copy the boilerplate code from the section labeled Python SDK.

To ensure the installation succeeded and the systems are functional, save and run this simple program. If the program runs successfully, the python-sdk is properly installed, the viam-server instance on your robot is alive, and the computer running the program is able to connect to that instance.

The RobotClient & connectivity

The main entry point for using the SDK as a client is the RobotClient class. This class can manage resources, operations, frames, etc., for the robot. It can also manage connectivity and behavior around sessions and reconnection through the RobotClient.Options nested class.

The RobotClient will attempt to refresh its resources at a set interval (customizable via Options).

In the event that connection is lost to the robot, the RobotClient will attempt to reconnect at a set interval. There are two options available for customizing this behavior: how often the client checks the connection status (RobotClient.Options.check_connection_interval), and how often the client attempts to reconnect upon detecting a loss of connection (RobotClient.Options.attempt_reconnect_interval).

Upon a loss of connection, outstanding requests are NOT terminated and can possibly error with a GRPCError whose status is DEADLINE_EXCEEDED. When connection is restored, existing built-in clients will automatically receive the new connection - no need to re-obtain the client. Tasks initiated by Viam will automatically resume, but any user-defined tasks that depend on the connection should be checked and potentially restarted.

The Viam Python SDK utilizes gRPC and, optionally WebRTC (defaults to on). gRPC is provided purely in python, but WebRTC is provided by the external viam Rust utils library. WebRTC settings can be changed using the appropriate attributes in viam.rpc.dial.DialOptions. These options can be passed to the RobotClient through RobotClient.Options.dial_options.

Sessions

Sessions are a safety feature that automatically cancel operations made by the python client if it loses connection to a robot. Sessions are enabled by default but can be disabled by setting RobotClient.Options.disable_sessions = True. Please see the RDK session documentation for more details and server-side configuration options.

Examples

Read the Example Usage page, to learn how to access a component, build a custom component, and expose custom components as a remote to existing robots.

More examples can be found in the examples directory.

Documentation

Documentation, like this entire project, is under active development, and can be found at python.viam.dev.

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Development

To contribute to the python SDK, please see the contribution guidelines.

Adding new resource types

The SDK provides a number of abstract base components and services (collectively: resources). To add more abstract resources, follow these steps:

1. Create a new directory in viam.components or viam.services with the name of the new component
2. Create 4 new files in the newly created directory:
   1. Define all requirements of the resource in {RESOURCE_NAME}.py
   2. Implement the gRPC service for the new resource in service.py
   3. Create a gRPC client for the new resource in client.py
   4. Register the subtype and define package exports in __init__.py
3. Write tests for the new resource and add the resource to tests.mocks.{components|services}
4. If the resource is a component, add the component to examples.server.v1.components and its corresponding concrete type in examples.server.v1.server

License

Copyright 2021-2023 Viam Inc.

Apache 2.0 - See LICENSE file