whl_env

Autonomous driving environments are inherently complex, involving a wide array of components such as hardware (compute units, vehicles, sensors) and software (operating systems, middleware, the autonomous driving application itself, configuration files).

Ensuring the consistency of these environments is paramount during testing. Environment-specific discrepancies are a frequent cause of strange and difficult-to-diagnose issues in system tests, leading to unreliable results.

whl_env is designed precisely to tackle this challenge. It acts as a tool to capture and document the state of your autonomous driving test environment, allowing you to verify its configuration and guarantee consistency across different test platforms and runs.

Quick Start

Get whl_env installed and start collecting environment data in minutes.

Installation

Install the package using pip:

pip install whl_env

Collecting Environment Information

Run the whl_env command. Use the -o or --output option to specify the path where the collected system information should be saved in JSON format.

whl_env -o system_info.json

This command will execute the environment collection process and save the results to system_info.json in the current directory.

Verifying Consistency

Once you have collected system_info.json files from different environments or test runs, you can compare them using any standard diff tool (command-line diff, graphical diff tools, or dedicated JSON diff comparison tools).

# Example using a command-line diff tool
diff environment_a_info.json environment_b_info.json

# Any differences highlighted indicate inconsistencies between the two environments.

By comparing these snapshots, you can quickly pinpoint configuration drift or variations that could be impacting your test results.