Runtime Verification tools for ROS systems
Project description
HPL RV for ROS
This project provides tools to create and deploy runtime monitors for your Robot Operating System applications.
Installing
This package can be installed with pip
:
pip install hpl-rv-ros
Usage
You can use this project to generate code both as a library and as a standalone tool.
First, you will need a mapping of ROS topic types to message types. This can be specified in YAML or JSON formats, when provided as a file. For example:
%YAML 1.2
# file: topics.yaml
---
/a: std_msgs/Int64
/b: std_msgs/Int64
/p: std_msgs/Bool
/q: std_msgs/Bool
Then, you will also need to provide a HPL specification. This can be either a list of properties, or a .hpl
file, depending on how you want to use this package.
As a Standalone Tool
This package provides the hpl-rv-ros
CLI script.
Required Arguments
- a path to the topic type mapping file
- either a list of properties or a list of
.hpl
files, depending on flags
Optional Arguments
- flag
--rospy
: generate ROS1 code instead of ROS2 code - flag
-f
or--files
: treat positional arguments as a list of paths to.hpl
files instead of a list of properties - argument
-o
or--output
: pass a path to an output file for the generated code (default: print to screen)
Example
To generate ROS2 code:
hpl-rv-ros -f -o rclpy_node.py topics.yaml properties.hpl
To generate ROS1 code:
hpl-rv-ros --rospy -f -o rospy_node.py topics.yaml properties.hpl
As a Library
This repository provides the hplrv_ros
Python package.
Example
from typing import Dict, List
from pathlib import Path
from hpl.ast import HplProperty
from hpl.parser import property_parser
from hplrv_ros.rclpy import generate_node as generate_rclpy
from hplrv_ros.rospy import generate_node as generate_rospy
parser = property_parser()
topic_types: Dict[str, str] = { '/a': 'std_msgs/Int32' }
properties: List[HplProperty] = [parser.parse('globally: no /a {data > 0}')]
rclpy_code: str = generate_rclpy(properties, topic_types)
rospy_code: str = generate_rospy(properties, topic_types)
path: Path = Path('rclpy_node.py')
path.write_text(rclpy_code, encoding='utf-8')
path = Path('rospy_node.py')
path.write_text(rospy_code, encoding='utf-8')
GitHub Features
The .github
directory comes with a number of files to configure certain GitHub features.
- Various Issue templates can be found under
ISSUE_TEMPLATE
. - A Pull Request template can be found at
PULL_REQUEST_TEMPLATE.md
. - Automatically mark issues as stale after a period of inactivity. The configuration file can be found at
.stale.yml
. - Keep package dependencies up to date with Dependabot. The configuration file can be found at
dependabot.yml
. - Keep Release Drafts automatically up to date with Pull Requests, using the Release Drafter GitHub Action. The configuration file can be found at
release-drafter.yml
and the workflow atworkflows/release-drafter.yml
. - Automatic package building and publishing when pushing a new version tag to
main
. The workflow can be found atworkflows/publish-package.yml
.
Tooling
This package sets up various tox
environments for static checks, testing, building and publishing.
It is also configured with pre-commit
hooks to perform static checks and automatic formatting.
If you do not use tox
, you can build the package with build
and install a development version with pip
.
Assume cd
into the repository's root.
To install the pre-commit
hooks:
pre-commit install
To run type checking:
tox -e typecheck
To run linting tools:
tox -e lint
To run automatic formatting:
tox -e format
To run tests:
tox
To build the package:
tox -e build
To build the package (with build
):
python -m build
To clean the previous build files:
tox -e clean
To test package publication (publish to Test PyPI):
tox -e publish
To publish the package to PyPI:
tox -e publish -- --repository pypi
To install an editable version:
pip install -e .
Project details
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