Enasis Network Homie Automate
Project description
Enasis Network Homie Automate
:children_crossing: This project has not released its first major version.
Define desired scenes for groups using flexible conditional plugins.
Configuration example
Some basic configuration examples. See next section for more documentation.
- Homie Desires
- Homie Groups
- Homie Scenes
- Philips Hue Bridges
- Philips Hue Devices
- Ubiquiti Routers
- Ubiquiti Clients
Documentation
Documentation is on Read the Docs.
Should you venture into the sections below you will be able to use the
sphinx
recipe to build documention in the docs/html
directory.
Short-term future goals
- Encrypting the values in the configuration files.
- Deploying
enhomie
via thesdmt
project. - Ability to send email when scene change is made.
- Requires
enconnect.stmp.Compose
class. - Requires
scene_set
to be idempotent.
- Requires
Long-term future goals
- CRUD for groups and scenes in Philips Hue bridges.
- Listener that can perform some basic actions.
- Plugin using light level from Philips Hue devices.
- Plugin checks current scene active for groups.
Additional scripts
- dumper.py is useful for setting desired scenes.
- dumper.py is useful for dumping configuration.
- scener.py is useful for setting scene on groups.
Useful and related links
Installing the package
Installing stable from the PyPi repository
pip install enhomie
Installing latest from GitHub repository
pip install git+https://github.com/enasisnetwork/enhomie
Quick start for local development
Start by cloning the repository to your local machine.
git clone https://github.com/enasisnetwork/enhomie.git
Set up the Python virtual environments expected by the Makefile.
make -s venv-create
Execute the linters and tests
The comprehensive approach is to use the check
recipe. This will stop on
any failure that is encountered.
make -s check
However you can run the linters in a non-blocking mode.
make -s linters-pass
And finally run the various tests to validate the code and produce coverage
information found in the htmlcov
folder in the root of the project.
make -s pytest
Build and upload to PyPi
Build the package.
make -s pypackage
Upload to the test PyPi.
make -s pypi-upload-test
Upload to the prod PyPi.
make -s pypi-upload-prod
Project details
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