hpl-rv 1.1.2

Tools to enable Runtime Verification from HPL properties

HPL Runtime Verification

This project provides a tools from which you can build and manage runtime monitors based on HPL properties.

• Installation
• Usage
• GitHub Features
• Tooling

Installation

Install this package with

pip install hpl-rv

Usage

Code Generation

This package provides a command line interface from which you can generate runtime monitors with a simple command.

# generating monitors from a specification file
hplrv gen -f my_spec.hpl
# generating monitors directly from properties
hplrv gen "globally: no /a"
# redirecting the output to a file
hplrv gen -o ./code.py "globally: some /b within 100ms"

When used as a library, you can generate Python code for a runtime monitor class with a few simple steps. For example:

from hplrv.gen import lib_from_properties
hpl_properties = ['globally: no (/a or /b)']
code: str = lib_from_properties(hpl_properties)
print(code)

Monitoring Dashboard

This package also includes a web-based dashboard that enables live feedback from runtime monitors in a human-friendly format.

To execute the web server for this dashboard, run the gui command:

hpl-rv gui --host "127.0.0.1" --port 8080

Then, open the dashboard client with a web browser (e.g., on http://localhost:8080).

Through the dashboard, you can connect to runtime monitors to get live feedback. To enable this feature, though, your runtime monitors should first start the feedback server.

For example, for code generated with lib_from_properties(), the main script where these monitors are included should follow roughly the following guidelines.

from threading import Thread
from .generated_monitors import HplMonitorManager

man = HplMonitorManager()
man.live_server.host = '127.0.0.1'
man.live_server.port = 4242
thread: Thread = man.live_server.start_thread()
now: float = 0.0
man.launch(now)
try:
    # sleep or feed messages to the monitors; example:
    while True:
        sleep(1.0)
        now += 1.0
        man.on_timer(now)
except KeyboardInterrupt:
    pass
man.shutdown(now)
thread.join(10.0)

The call to live_server.start_thread() is what enables the dashboard to get live feedback.

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 at workflows/release-drafter.yml.
• Automatic package building and publishing when pushing a new version tag to main. The workflow can be found at workflows/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 .