pashehnet 0.1.0

Sensor network simulator publishing to MQTT broker

PashehNet

Provides a simulated sensor network (SSN) framework for publishing to a target system. The package implements both an API and command line interface to provide this service.

This README is intentionally short for tl;dr purposes. Full documentation can be found here.

Installation

If available from a package repository:

pip install pashehnet

Otherwise you can install directly from the GitHub repo:

pip install git+https://github.com/zaggyai/pashehnet

Contributing

First, fork the repo if not a current maintainer, or clone if you are! :)

Make sure your virtual env is up-to-date:

pip install --upgrade pip wheel setuptools

Install package in dev/editable mode:

pip install -e .

Install dev environment dependencies such as pytest, flake8 and supporting deps for tests:

pip install -r dev-requirements.txt

Keep in mind that even if you already have a virtualenv configured from a previous fork/clone, its dependencies could be out of date so re-running the installs should bring your virtualenv current.

Environment

You can leverage environment variables within code or CLI config files for sensitive data you don't want to check into a repo. This is always a going concern for any code that requires client/server configuration. Please be careful to never add security credentials to a commit as they're nearly impossible to permanently remove from a repo after the fact.

For MQTT broker config, we typically define the following env vars and use them in our code/configs:

• MQTT_HOST
• MQTT_PORT
• MQTT_USER
• MQTT_PWD

We like the cross-platform direnv tool and have a gitignore exclusion for its files, but you do you! :upside_down_face:

Opening a Pull Request (PR)

Pull requests are a git workflow for managing branch merges with reviews and tests. You can read more about them in the GitHub docs. Before opening a PR please make sure the following commands complete locally without errors in your local dev environment as they will block a PR if not:

# Run linter
flake8 src/ tests/

# Run all unit tests
# Note we disable deprecation warnings for the time being;
# there's a method to the madness
pytest -W ignore::DeprecationWarning