The Vehicle App SDK reduces the effort required to implement Vehicle Apps by using the Velocitas development model for the Python programming language. To create a Vehicle App, please use our Vehicle App Template which uses this sdk.
This includes the following packages:
- sdv.model - Vehicle Model ontology
- sdv.dapr - Dapr middleware integration
- sdv.conf - Vehicle App configuration
- sdv.vehicle_app - Vehicle App abstraction
- sdv.vdb - Vehicle Data Broker integration
- sdv.test - Integration test support
- sdv.util - Logging and other utilities
Note: The Vehicle App Python SDK is currently under active development in alpha phase.
- Python 3.8 or later is required to use this package.
Install the Vehicle App Python SDK with pip:
pip install git+https://github.com/eclipse-velocitas/vehicle-app-python-sdk.git@<version>- Velocitas Development Model: Learn more about the Velocitas programming model and the SDK
- Velocitas Tutorials: Learn how to get started, including setting up the development environment, creating a Vehicle Model as well as developing and deploying a Vehicle App.
These examples demonstrate how to use the Python Vehicle App SDK:
| Example | Description |
|---|---|
| Dynamic Rule | Create a Vehicle Data Broker rule with the fluent query methods. |
| Seat Adjuster | Seat-Adjuster App that demonstrates MQTT communication and invocation of a Vehicle Service over gRPC. |
| Dog Mode | Dog-Mode App that demonstrates MQTT communication and invocation of a Vehicle Service over gRPC, the app also subscribes for vehicle data points and sets the cabin temperature. |
| Static Rule | Create a Vehicle Data Broker rule with the subscribe_to_data_point annotation. |
| VDB Queries | Demonstrates various aspects of creating Vehicle Data Broker queries. |
| Array Datatype | Shows a Vehicle Data Broker query that returns an array data point. |
| DataPoint-Set | Shows how to set the value of the datapoint actuator value API. |