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Plugins for Fauxmo (emulated Wemo devices for the Amazon Echo)

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fauxmo-plugins

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Plugins for Fauxmo (emulated Wemo devices for the Amazon Echo)

Introduction and Rationale

As of Fauxmo 0.4.0, I am splitting the plugins out of the main Fauxmo code. Plugins were previously referred to as handlers.

  • I've implemented a crude plugin import system that allows users to create and user their own plugins by inheriting from FauxmoPlugin and including the path to the file in their config.
  • This means I can remove dependencies from Fauxmo that some users may not use, and hopefully users unfamiliar with virtualenvs will quit breaking their installations due to my pinned versions.
  • I'll be able to update plugins without having to release a new version of Fauxmo core, keeping them in their own separate VCS silos.

Using plugins

Personal user plugins

The biggest motivation for the changes to Fauxmo 0.4.0 was to allow users to create Fauxmo plugins to scratch their own itch. There are only a few requirements to get started:

  • Your plugin will be class that inherits from the fauxmo.plugins.FauxmoPlugin ABC.
  • Your plugin will override the abstract methods on, off, and get_state, which will unsurprisingly be called when you tell Alexa to turn a Fauxmo device on or off, and when Alexa queries the device state. The on and off methods should return a bool that suggests whether they succeeded, and get_state should return "on", "off", or "unknown". If you have no way to query state, consider using a simple return "unknown" as your get_state method, or you can return super().get_state() to use the last successful command as the current state (e.g. of .on() succeeded, return "on"). Note that this behavior means that if you manually switch a device or change it with another program that your reported state will be incorrect.
  • Your plugin will be initialized if the exact (case sensitive) name is listed as a key under the PLUGINS section in your Fauxmo configuration (please see the Fauxmo docs for details), and if you include the path to the file that provides your plugin class as the path subkey.
  • Each device you plan to use with a plugin will be listed under the DEVICES key of your plugin.
  • Your plugin class will receive several kwargs on initialization, including the name and port that the Fauxmo device will use, as defined in your Fauxmo config. Hopefully this will allow users to implement some custom debugging / logging features.
  • If you want your plugin class to determine its own port in code or if you decide to override the __init__ method, you may need to do some combination of the following:
    • super().__init__(name=name, port=port) in your custom __init__.
    • Define the "private" self._port attribute.
    • Override the FauxmoPlugin.port() property.
  • If your plugin has external dependencies, I highly recommend that you include the version of the dependency in your module-level docstring, especially if you're going to publish your plugin as a Gist.

I will not be providing much support to users needing help with plugins. I'm an intermediate Pythonista at best, so if you are just learning about classes, inheritance, and abstract methods, please feel free to make a new issue for problems you encounter, but I might not be much help. On the other hand, if you're a more advanced Pythonista, feel free to make suggestions.

Plugins provided in the fauxmo-plugins repo

I'm going to include a few handy plugins here for reference. To use them in your Fauxmo installation, all you need to do is get a local copy of the file and include the path in your Fauxmo config as described above. You could do this a few ways:

  1. Clone the repo git clone https://github.com/n8henrie/fauxmo-plugins.git
  2. Use "path": "~/path/to/fauxmo-plugins/exampleplugin.py" in your config

Alternatively,

  1. Download the specific plugin you're interested in by clicking on the file in your web browser, clicking the Raw button, and using wget or curl to download the resulting file.
  2. Include the path to that file as the path for that plugin.

If you think your plugin would be good to include in the fauxmo-plugins repo, feel free to send me a pull request. To be merged:

  • Must by python 3.6+ compatible
  • Include a reasonable docstring that:
    • Explains the intended purpose, usage, and any required config variables.
    • Includes as pinned version numbers for any dependencies at the end.
  • The file should:
    • Include type annotations.
    • Pass mypy --ignore-missing-imports.
    • Pass flake8.

Additionally, I'd like to include a list of interesting plugins here in the README, even if the owners don't want to be included in this repo.

Pre-installed plugins

Fauxmo comes with few plugin classes already available in the fauxmo.plugins package. If you think your plugin would be good to include as one of these, send a PR to that repo. Please note that I would strongly prefer not to have any 3rd party / non-stdlib dependencies for the core Fauxmo package, in addition to the requirements for the fauxmo-plugin repo above.

Tests

Tests are highly recommended.

The modules are not installable, so you'll need to be able to import your class directly from the module file. This can be done by monkeypatching sys.path, but I prefer if you just use python3 -m pytest tests/ from the root directory, which will prompt Python to add it to PYTHONPATH, and should allow you to import your class: from myplugin import MyPlugin.

You may find the fauxmo_server pytest fixture helpful -- given the path to a config file as its only argument, it returns a context manager that is a Fauxmo instance using that config. Using this context manager and a small sample config, you can simulate receiving a "turn on" command from the Echo by posting '<BinaryState>1</BinaryState>' to the http://localhost:12345/upnp/control/basicevent1 endpoint, where localhost is your config's ["FAUXMO"]["ip_address"] and 12345 is the port for one of your plugin's Fauxmo device instances. See tests/test_restapiplugin.py and tests/test_restapiplugin_config.json for an example.

Alternatively, you can test your plugin directly without using the rest of the Fauxmo machinery by reading in your config and ensuring that e.g. YourPlugin(**device).on() works as intended (again, see tests/test_restapiplugin.py as an example).

NB: To facilitate simultaneous development between n8henrie/fauxmo and n8henrie/fauxmo-plugins, requirements-test.txt pulls the latest version of the dev branch of Fauxmo from GitHub; this is to help ensure that the automated CI tests can run if I am pushing out changes to both repos that are not yet ready to be merged into master or get pushed to PyPI. I suggest that if you're developing locally and need to make simultaneous PRs against Fauxmo and Fauxmo-plugins that you check out a separate branch in each and temporarily change the requirements-test.txt file to something like -e git+file:///abs/path/to/local/fauxmo/repo#egg=fauxmo.

Interesting Plugins (not included in this repo)

  • None yet. Why not be the first?

Troubleshooting / FAQ

See also: Fauxmo FAQ

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