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setup.py |
- Introduction
- Core concepts
- A few examples
- HTTP API
- Websocket API
- Web hooks
- Entities
- Core Installation
- Plugins installation
- Configuration
- The Web interface
- Mobile app
- Browser extension
- Tests
Introduction
Platypush is a general-purpose and extensible platform for automation across multiple services and devices with hundreds of supported integrations.
It enables users to create their own self-hosted pieces of automation based on events (if this happens then do that) and it provides a comprehensive and customizable user interface that collects everything you need to visualize and control under one roof.
It borrows concepts from IFTTT, Tasker and Home Assistant to provide an environment where the user can easily connect things together. It focuses on an automation-as-code and API-first approach, offering power users great flexibility in customizing their routines.
It's built with compatibility and flexibility in mind, and it can easily run on any device that can run a Python interpreter - from a Raspberry Pi, to an old smartphone, to a beefy server.
What it can do
You can use Platypush to do things like:
- Control your smart lights
- Control your music across multiple devices
- Create custom and privacy-secure voice assistants that run custom hooks on your phrases
- Build integrations between sensors, cameras, microphones and machine learning models to create smart pieces of automation for e.g. people detection or sound detection
- Display events from your calendars and build automation on them
- Build automation routines and visualizations from your sensors data
- Control and automate a self-built robot
- Deliver automated newsletters from custom RSS digests
- Synchronize the clipboards on your devices
- Implement custom text-to-speech logic
- Build any kind of automation routines with your Android device using Tasker
- Play local videos, YouTube videos and torrent media from any device and service, to any device, with support for Kodi, Chromecast, VLC, Jellyfin, Plex and more
- Get weather forecast events for your location and build automation routines on them
- Create a custom single hub for Zigbee and Z-Wave smart devices
- Build your own web dashboard with calendar, weather, news and music controls (basically, anything that has a Platypush web widget)
- ...and much more (basically, anything that comes with a Platypush plugin).
The full list of available integrations is available at docs.platypush.tech, which also contains a more in-depth wiki on the features supported by the platform.
The wiki is also mirrored on git.platypush.tech.
The blog regularly publishes content with step-by-step tutorials and recipes.
Core concepts
The foundations of Platypush rest on a few simple building blocks that offer great versatility to build arbitrarily complex automation routines:
-
🧩 Plugins. Plugins are the bread-and-butter of the platform. Each plugin exposes an API to interact with an integration - there are plugins for media players and devices, calendars, sensors, voice assistants, smart devices, cloud services, and so on.
-
⏻ Actions. These are the methods of a plugin transparently exposed to the user over a simple JSON RPC API, and they are always expressed in the format
<plugin_name>.<action_name>
. For instance,light.hue.on
can be used to turn on Philips Hue-compatible lights,media.vlc.play
to play some media on a VLC player, etc. -
⚙️ Backends. These are special integrations whose main purpose is to deliver messages to the main application. The principal one is the
http
backend, which exposes the HTTP and WebSocket APIs, serves the main UI and is used by several integrations to provide additional services. Anodered
backend is also available to expose a Platypush action component to a Node-RED instance, as well as an internalredis
backend and an (insecure)tcp
backend to receive raw messages.
-
-
📧 Events. Plugins emit events whenever some particular conditions happen for example, a new media track is played, a voice assistant conversation has started, and so on.
- 🪝 Hooks. Users can define custom callbacks on events in the form of hooks. Hooks can contain lists of actions to execute when a certain event matches the hook condition, or any kind of custom logic - for example, send a notification on my phone when the presence sensor in my garage goes on, or use a TTS plugin to process the digest of the latest RSS feeds if I tell the voice assistant "play the news". Event hooks can be expressed either in YAML format or as Python runtime scripts.
-
📜 Procedures. Procedures are custom snippets of logic that can be invoked using the Platypush API. For example, you can define an
at_home
procedure that will be executed when you arrive home, which turns on the lights, plays the music, sets the thermostat temperature etc., and then call it using the Platypush API from any device. Like event hooks, procedures can be defined both in YAML format (good if you just want to execute lists of actions without much added logic), or as Python scripts.- 🕗 Cronjobs. Cronjobs are special procedures that can be executed either at regular intervals (the UNIX cron syntax is supported), or at a specific time (one-shot). Just like procedures, they can be defined either in YAML or as Python scripts.
-
💡 Entities. Some plugins expose generic entities - such a lights, sensors, media players, switches, voice assistants etc. These entities can be controlled through the same generic APIs, emit the same types of events, can be controlled from the same Web view or dashboard, and their state is persisted across runs.
A few examples
The bulk of the configuration of Platypush lives under the config.yaml
file.
An extensive config.yaml
example
is provided in the repo. All the sections are optional - the only one enabled by
default is the HTTP server, backend.http
, but that is optional too.
Let's take an example where we want to control the following entities:
-
A Philips Hue bridge and its connected smart lights.
-
An on-device voice assistant (we'll consider the Google Assistant in this example as it's the easiest to configure, although Google deprecated the Assistant libraries long ago).
-
A compatible music player - we'll consider MPD/Mopidy in this example as they are the ones best supported in Platypush, and Mopidy also offers plugins with basically any audio backend out there.
We'll need the following plugins enabled in the config.yaml
:
light.hue
assistant.google
music.mopidy
ormusic.mpd
(they expose the same API)
The documentation pages of these plugins already provide some comprehensive configuration snippets that you can use.
The most basic configuration would be something like this:
# Enable it if you want the enable the HTTP API and the Web interface
backend.http:
light.hue:
# IP/hostname of the Hue bridge
bridge: 192.168.1.10
# Default groups that should be targeted by actions if none is specified
# (default: all lights/groups)
groups:
- Living Room
# Check the plugin documentation on how to get the credentials
assistant.google:
music.mopidy: # Or music.mpd
# IP/hostname of the MPD/Mopidy server
host: 192.168.1.2
Now that we have our integrations configured, let's build some automation routines.
Turn on the lights when I say so
In this case we will have to create a hook that listens to a
SpeechRecognizedEvent
triggered by the assistant - for example, when we say "OK, Google" followed
by "turn on the lights".
We can declare the hook in YAML format directly in the config.yaml
, or in one
of the files included in it through the include:
directive:
event.hook.turn_lights_on_voice_command:
if:
type: platypush.message.event.assistant.SpeechRecognizedEvent
# Note that a minimal regex-like syntax is supported here.
# This condition matches both a phrase that contains
# "turn on the lights" and one that contains "turn on lights"
phrase: "turn on (the)? lights"
then:
- action: light.hue.on
args:
groups:
- Living Room
Or we can declare the hook in a Python script - you just have to create a .py
file (e.g. lights.py
) under a scripts
directory located under the same
folder as your config.yaml
:
from platypush import run, when
from platypush.events.assistant import SpeechRecognizedEvent
@when(SpeechRecognizedEvent, phrase="turn on (the)? lights")
def lights_on_voice_command(): # Also accepts an optional `event` argument
run('light.hue.on', groups=['Living Room'])
Or, using the get_plugin
API:
from platypush import get_plugin, when
from platypush.events.assistant import SpeechRecognizedEvent
@when(SpeechRecognizedEvent, phrase="turn on (the)? lights")
def lights_on_voice_command():
get_plugin('light.hue').on(groups=['Living Room'])
Play the music when I say so
The approach is similar for a "play the music" voice command. YAML:
event.hook.play_music_voice_command:
if:
type: platypush.message.event.assistant.SpeechRecognizedEvent
phrase: "play (the)? music"
then:
- action: music.mopidy.play
Python:
from platypush import run, when
from platypush.events.assistant import SpeechRecognizedEvent
@when(SpeechRecognizedEvent, phrase="play (the)? music")
def lights_on_voice_command():
run('music.mopidy.play')
Turn on the lights when the sun goes down
This example requires the sun
plugin configured:
sun:
latitude: LAT
longitude: LONG
You can then simply subscribe to
SunsetEvent
.
YAML:
event.hook.sunset_lights_on:
if:
type: platypush.message.event.sun.SunsetEvent
then:
- action: light.hue.on
Python:
from platypush import run, when
from platypush.events.sun import SunsetEvent
@when(SunsetEvent)
def sunset_lights_on():
run('light.hue.on')
Event matching and token extraction through hook templates
You can also operate token extraction from event arguments if the values are strings.
For example, you can use advanced pattern matching and token extraction to create voice assistant hooks that will match a template with parametrized field which will be passed as arguments to your event hook:
from platypush import run, when
from platypush.events.assistant import SpeechRecognizedEvent
@when(SpeechRecognizedEvent, phrase='play ${title} by ${artist}')
def on_music_play_command(event, title, artist):
results = run(
'music.mpd.search',
filter={
'artist': artist,
'title': title,
}
)
if results:
run('music.mpd.play', results[0]['file'])
Complex hook conditions
Your event hooks can include more complex filters too. Structured filters against partial event arguments are also possible, and relational operators are supported as well. For example:
from platypush import when
from platypush.events.sensor import SensorDataChangeEvent
@when(SensorDataChangeEvent, data=1):
def hook_1(event):
"""
Triggered when event.data == 1
"""
@when(SensorDataChangeEvent, data={'state': 1}):
def hook_2(event):
"""
Triggered when event.data['state'] == 1
"""
@when(SensorDataChangeEvent, data={
'temperature': {'$gt': 25},
'humidity': {'$le': 15}
}):
def hook_3(event):
"""
Triggered when event.data['temperature'] > 25 and
event.data['humidity'] <= 15.
"""
The supported relational fields are the same supported by ElasticSearch - $gt
for greater than, $lt
for lesser than, $ge
for greater or equal, $ne
for
not equal, etc.
Turn off the lights at 1 AM
We can use a cron
for this case. YAML:
cron.lights_off_night:
# Run this every day at 1 AM
cron_expression: '0 1 * * *'
actions:
- action: light.hue.off
Python:
from platypush import cron, run
@cron('0 1 * * *')
def lights_off_night():
run('light.hue.off')
Greet me with lights and music when I come home
Let's create an at_home
procedure for this purpose. We can also use a
text-to-speech plugin like the tts
plugin (it requires no
configuration as it relies on the Google Translate frontend API, but other,
more sophisticated plugins are also available) to have a warm voice to welcome
us home. YAML:
# Make sure that the sound plugin is also enabled, for audio processing
sound:
procedure.at_home:
- action: tts.say
args:
text: "Welcome home!"
# Get luminosity data from a sensor - e.g. LTR559
- action: gpio.sensor.ltr559.get_data
# If it's lower than a certain threshold, turn on the lights.
# Note that we can directly access attributes returned by the
# previous request(s) as local context variables within the
# procedure/hook/cron. In this case, `light` is an attribute returned
# on the response of the previous command.
# Otherwise, you can also use the special `output` variable to get only
# the response of the latest action, e.g. `output['light']`
# Also note the use of the special `if ${}` construct. It accepts
# a snippet of Python code and it can access variables within the
# current context.
- if ${light is not None and light < 110}:
- action: light.hue.on
- action: music.mopidy.play
args:
resource: "uri:to:my:favourite:playlist"
Python:
from platypush import procedure, run
@procedure("at_home")
def at_home_proc():
run('tts.say', text='Welcome home!')
luminosity = run('gpio.sensor.ltr559.get_data').get('light', 0)
if luminosity < 110:
run('light.hue.on')
run('music.mopidy.play', resource='uri:to:my:favourite:playlist')
You can then call the procedure from a hook or another script:
from platypush import run
run('procedure.at_home')
Or, from YAML:
procedure.some_other_procedure:
- action: procedure.at_home
Or using the API (see next section).
HTTP API
Actions and procedures can also be called using the JSON-RPC API exposed by Platypush.
Your configuration requires the backend.http
section enabled if
you want to use the HTTP API - default listen port: 8008
.
After ensuring that the HTTP backend is enabled, head to
http://localhost:8008
and register a new user.
From the Web UI, head to Settings → Tokens, insert your password again and click Generate JWT token.
Alternatively, you can retrieve a token via HTTP request:
❯ curl -XPOST -H 'Content-Type: application/json' -d '
{
"username": "$YOUR_USER",
"password": "$YOUR_PASSWORD"
}' http://localhost:8008/auth
You can then send requests to Platypush using a simple RPC API:
❯ curl -XPOST \
-d '{"type":"request", "action":"procedure.at_home"}' \
-H "Authorization: Bearer $YOUR_TOKEN" \
-H "Content-Type: application/json" \
http://localhost:8008/execute
❮
{
"id": "724754df98968247a284557ce32f74bb",
"type": "response",
"target": "http",
"origin": "myhost",
"_timestamp": 1716575901.046127,
"response": {
"output": {
"success": true
},
"errors": []
}
}
If your procedure returned something, then that will be returned on the API response too, so downstream consumers can use it.
The POST /execute
endpoint accepts a payload in the format:
{
"type": "request", // Constant
"action": "<plugin-name>.<action-name>", // Or procedure.<name>
"args": {
"arg1": "arg2",
// ...
}
}
In our procedure.at_home
example, you can for instance create an automation
snippet paired with your phone that runs the routine whenever you arrive home
(or your phone does):
-
Install an app like Tasker to create automation tasks on your Android device.
-
Install a plugin like AutoLocation to create automation tasks based on your phone's location.
-
Create a profile that triggers whenever you enter your home location (and/or exit it).
- Leverage the HTTP Request Tasker action to send a request to your Platypush API to trigger the routine.
The Execute tab
The Web interface also provides an Execute tab under the menu sidebar. You can use this tab to dynamically discover the actions exposed by various plugins (and also your own procedures):
Websocket API
Events
You can subscribe to events generated by the application over the /ws/events
Websocket endpoint, and send events to this endpoint too.
This is useful if you want to synchronize Platypush events with another client, or send custom events outside of those native to the application and build custom automation hooks on them.
Sending events:
❯ wscat -H "Authorization: Bearer $YOUR_TOKEN" \
-c "ws://localhost:8008/ws/events" \
-w 1 \
-x '
{
"type": "event",
"args": {
"type": "platypush.message.event.custom.CustomEvent",
"subtype": "foo",
"args": {
"bar": "baz"
}
}
}'
Receiving events:
❯ wscat -H "Authorization: Bearer $YOUR_TOKEN" -c "ws://localhost:8008/ws/events"
Actions
You can also send requests to the /ws/requests
Websocket endpoint, and get
responses asynchronously on the same channel:
❯ wscat -H "Authorization: Bearer $YOUR_TOKEN" \
-c "ws://localhost:8008/ws/requests" \
-w 1 \
-x '{"type": "requests", "action": "procedure.foo.bar"}'
Web hooks
You can use Platypush to expose your custom routines as dynamic Web hooks that can be called by any client.
All you need is to register a listener for a
WebhookEvent
from platypush import run, when
from platypush.events.http.hook import WebhookEvent
hook_token = "abcdefabcdef"
# Expose the hook under the /hook/at_home endpoint
@when(WebhookEvent, hook="at_home")
def at_home_webhook(event: WebhookEvent):
# Unlike the calls to /execute, custom web hooks are unauthenticated.
# If you want authentication, you'll need to implement your custom logic by
# parsing the event headers
if event.headers.get("X-Token") != hook_token:
# Tuple with <response, http-code, [response-headers]>
event.send_response(("Unauthorized", 401))
return
run('procedure.at_home')
# Return anything back to the client
return {'status': 'ok'}
Then you can invoke your custom logic over HTTP:
❯ curl -H 'X-Token: abcdefabcdef' 'http://localhost:8008/hook/at_home'
Entities
Entities are another building block of Platypush. Many integrations will store their state or connected devices in the form of entities - e.g. the sensors detected by the Z-Wave/Zigbee/Bluetooth integration, or the lights connected to a Hue bridge, or your cloud nodes, or your custom Arduino/ESP machinery, and so on.
Entities provide a consistent interface to interact with your integrations regardless of their type and the plugin that handles them. For instance, all temperature sensors will expose the same interface, regardless if they are Bluetooth or Zigbee sensors, and all the media plugins will expose the same interface, regardless if they manage Chromecasts, Kodi, Plex, Jellyfin or a local VLC player.
Once you enable the HTTP backend and a few integrations that export entities and register a user, you can query the detected entities via:
curl -XPOST -H 'Content-Type: application/json' \
-H "Authorization: Bearer $YOUR_TOKEN" \
-d '{"type":"request", "action":"entities.get"}' \
http://localhost:8008/execute
All the entities expose the same interface and can be manipulated through the
same API. Also, when an entity is updated it always emits an
EntityUpdateEvent
,
so you can easily create hooks that react to these events and act on multiple
types of entities.
If you enabled the HTTP backend, then you can also access all the entities from the home panel of the Web UI.
Core Installation
System package manager installation
Arch Linux
You can either install the
platypush
package (for the
latest stable version) or the
platypush-git
package
(for the latest git version) through your favourite AUR package manager. For
example, using yay
:
$ yay platypush
# Or
$ yay platypush-git
The Arch Linux packages on AUR are automatically updated upon new git commits or tags.
Debian/Ubuntu
- Add the Platypush APT key to your trusted keyring:
# wget -q -O \
/etc/apt/trusted.gpg.d/platypush.asc \
https://apt.platypush.tech/pubkey.txt
- Add the Platypush repository to your APT sources:
# wget -q -O \
/etc/apt/sources.list.d/platypush.list \
https://apt.platypush.tech/lists/platypush-<deb_version>-<branch>.list
Where:
-
deb_version
can be either:stable
: current Debian stableoldstable
: previous Debian stableubuntu
: latest Ubuntu release
-
branch
can be either:main
: latest stable releasedev
: a package always in sync with the latest git version
For example, to install the latest stable tags on Debian stable:
# wget -q -O \
/etc/apt/sources.list.d/platypush.list \
https://apt.platypush.tech/lists/platypush-stable-main.list
- Update your repos and install Platypush:
# apt update
# apt install platypush
Fedora
RPM builds targeting the latest Fedora release are automatically built on every push pipeline.
To install Platypush via RPM on Fedora:
- Add the Platypush RPM repository configuration to the package manager:
# yum config-manager --add-repo https://rpm.platypush.tech/platypush.repo
- Install Platypush, either the latest stable release or the rolling release updated on every commit to the main branch:
# yum install platypush
# Or
# yum install platypush-git
pip
$ pip install platypush
Or, for the latest git version:
# Official repo
$ pip install git+https://git.platypush.tech/platypush/platypush
# Github mirror
$ pip install git+https://github.com/blacklight/platypush
Docker
$ git clone https://git.platypush.tech/platypush/platypush.git
$ cd platypush
# Copy .env.example to .env and edit docker-compose.yml if required.
# In particular, you may want /etc/platypush and /var/lib/platypush
# to point to directories on your hosts
$ docker compose up
Note that the default Dockerfile
uses Alpine, but in docker-compose.yml
you
can also specify an alternative Dockerfile
- Debian, Ubuntu and Fedora are
supported.
Manual installation
$ git clone https://git.platypush.tech/platypush/platypush.git
$ cd platypush
$ pip install .
Plugins installation
All the plugins included in the main repo will be available once you have installed the core platform.
However, some plugins may require extra (optional) dependencies. You have several ways of installing those dependencies:
pip
You can install extra dependencies via pip extras:
pip install 'platypush[plugin1,plugin2,...]'
For example:
pip install 'platypush[light.hue,music.mpd,rss]'
Will install Platypush with the dependencies for the light.hue
, music.mpd
and rss
plugins.
Web interface
Plugins can be installed from the Web interface too. Navigate to the Extensions entry in the sidebar, select the extension that you want to install, select the Install tab and click Install.
This section also includes the Configuration tab, with a ready-to-paste configuration snippet template for that plugin, as well as a documentation page that includes all the actions supported by a given plugin and the events it triggers.
Docker
If you already have the base installation of Platypush on your machine, and you
have a configuration file with a custom set of integrations, then you may opt
to generate a custom Docker image from your configuration file, with all the
extra dependencies configured, using the platydock
command.
The following command:
❯ platydock -c /path/to/your/config.yaml -d platypush-test
Will create a Platypush Docker image for a device with ID platypush-test
,
with all the requirements for the additional integrations listed in
config.yaml
.
You can pass the --print
option if you just want to print the content of the
output Dockerfile
instead of generating the image.
By default the image will use Alpine Linux as a base. You can use the
-i
/--image
to specify another supported base image - ubuntu
, debian
or
fedora
.
Virtual environment
If you already have the base installation of Platypush on your machine, and you
have a configuration file with a custom set of integrations, then you may opt
to generate a custom virtual environment from your configuration file, with all
the extra dependencies configured, using the platyvenv
command.
The following command:
❯ platyvenv -c /path/to/your/config.yaml -o /path/to/your/venv
Will create a new virtual environment under /path/to/your/venv
using the
specified config.yaml
to determine which optional dependencies should be installed.
You can then run Platypush after activating your new environment:
❯ source /path/to/your/venv/bin/activate
❯ platypush -c /path/to/your/config.yaml
Manual installation
The plugin/backend documentation reports all the dependencies required by each plugin, as well as the commands to install them on multiple platforms.
If you want to customize your installation, or if you need to install dependencies for a plugin that requires some manual steps, you can check out any plugin-specific installation steps from its documentation.
Configuration
Configuration file
You can use the default
config.yaml
as a template/reference.
The location of the config.yaml
to be used by the application is determined
in the following way:
- It can be passed through the command-line
-c
/--config
argument. - If not specified via
-c
, it will be read from thePLATYPUSH_CONFIG
environment variable. - If not specified, use
./config.yaml
if available. - If not available, and you are running Platypush within a Docker container,
or as a privileged user (and usually you shouldn't), or as a systemd service
created by a supported package manager, then
/etc/platypush/config.yaml
will be used if available. - Otherwise, if you are running Platypush as a non-privileged user or in a
virtual environment,
$XDG_CONFIG_HOME/platypush/config.yaml
will be used (defaults to~/.config/platypush/config.yaml
).
Scripts directory
By default, any custom Python scripts will be searched under
<CONFDIR>/scripts
, where <CONFDIR>
is the path to your config.yaml
.
You can override it in your config.yaml
:
scripts_dir: /path/to/custom/scripts
Since everything under the scripts directory will be imported as a submodule, you can create your own libraries of scripts that can import other scripts:
# Content of scripts/music.py
from platypush import run
def music_play(plugin='music.mopidy', resource=None):
run(f'{plugin}.play', resource)
# Content of scripts/lights.py
from platypush import run
def lights_toggle(plugin='light.hue', groups=('Living Room',)):
run(f'{plugin}.toggle', groups=groups)
# Content of scripts/home.py
from platypush import procedure
from scripts.music import music_play
from scripts.lights import lights_toggle
@procedure
def at_home():
music_play()
lights_toggle()
Splitting configuration on multiple files
The config.yaml
file can become very complex, especially if you embed many
hooks and procedures in it in YAML format.
To make the configuration more maintainable, and also to isolate modules that
you can reuse across multiple instances, you can leverage the include
directive:
# All paths are relative to config.yaml, or to the location of the current file
include:
- assistant.yaml
- db.yaml
- media.yaml
- mqtt.yaml
- sensors.yaml
# ...
Working directory
This is where the application will store its data and integration plugins will store their data. The order of precedence is:
-w
/--workdir
command line argument.- The
PLATYPUSH_WORKDIR
environment variable. - The
workdir
field in the configuration file. $XDG_DATA_HOME/platypush
(default:~/.local/share/platypush
) if launched with a non-privileged user,/var/lib/platypush
if launched as root or with a system user.
Database
The application stores entities, variables, users, integrations state and more on a database. The engine configuration supports the SQLAlchemy engine syntax.
Note: The application uses a local SQLite database by default, which is
natively supported by SQLAlchemy. The application has also been tested against
MySQL/MariaDB and Postgres, and should work fine with any modern relational
database supported by SQLAlchemy. However, any backend other than SQLite may
require an additional Python dependency for the SQLAlchemy driver (for example
pg8000
for PostgreSQL).
Order of precedence for the engine:
--main-db
/--db
command line argument.- The
PLATYPUSH_DB
environment variable. - The
main.db
field in the configuration file. sqlite:///<WORKDIR>/main.db
Device ID
The device ID is a unique identifier for a Platypush instance on a network and is used to reliably dispatch messages when multiple instances use a shared backend.
The order of precedence is:
--device-id
command line argument.- The
PLATYPUSH_DEVICE_ID
environment variable. - The
device_id
field in the configuration file. - The hostname of the machine.
systemd service
If you installed Platypush from a system package manager then you'll also have
a systemd
service installed for it.
You can start/enable Platypush like any other systemd
service:
# systemctl start platypush
# systemctl enable platypush
Or, if you want to run the Platypush service as a generic user:
❯ systemctl --user start platypush
❯ systemctl --user enable platypush
Otherwise, you can create your own systemd
service copying the provided
.service
file
to e.g. ~/.config/systemd/user
or /etc/systemd/system
.
Redis
Platypush uses Redis as a in-memory queue to deliver messages and as a pub/sub bus for inter-process communication.
If you installed Platypush through a package manager, then the Redis service will automatically be installed and started if you launch the Platypush service as a privileged user.
If you run Platypush in a container then by default it'll start its own Redis
instance through the --start-redis
command-line option.
You can customize the Redis configuration through the:
--redis-host
,--redis-port
and--redis-queue
command-line options.PLATYPUSH_REDIS_HOST
,PLATYPUSH_REDIS_PORT
andPLATYPUSH_REDIS_QUEUE
environment variables.- Through your
config.yaml
:
# See https://redis-py.readthedocs.io/en/latest/connections.html#redis.Redis
# for the full list of supported parameters
redis:
host: redis-host
port: 6379
username: redis-user
password: redis-pass
If --start-redis
is set, the application can be configured to start a custom
redis-server
executable through the:
--redis-bin
command-line option.PLATYPUSH_REDIS_BIN
environment variable.
Alternative drop-in implementations such as keydb-server
, valkey
or
redict
are also supported.
nginx
If you want to access your Platypush web panel outside your home network, it may be a good idea to use an nginx/Apache reverse proxy with a valid SSL certificate (e.g. managed by certbot). A sample an nginx configuration is provided in the repository.
The Web interface
Other Web panels
Besides the built-in panels that we've already seen in the other sections, Several integrations add their own feature-rich panels to the Web view, turning Platypush into a gateway to all of your services - from Zigbee sensors, to media players and services, to your music cloud, and more.
For example, the music view is available to most of the music
plugins.
Another example is the camera panel, to monitor your cameras, get stand-alone
feed URLs, and take photos. This becomes available in the UI if you enable at
least a camera
plugin.
If you enabled at least one local media
plugin (like media.vlc
,
media.mplayer
etc.) then you'll also unlock the media UI, which allows you to
index, search, view and cast media files under the configured media_dirs
, and
it also integrates with other configured/supported backends such as YouTube,
Plex and Jellyfin.
Dashboards
The web service also provides means for the user to create custom dashboards that can be used to show information from multiple sources on a large screen.
PWA support
Note that having the web application served over SSL is a requirement for the PWA (progressive web app) to work. The Platypush PWA allows you to install a Platypush native-like client on your mobile devices if you don't want to use the full Android app.
Mobile app
An official Android app is provided on the F-Droid store. It allows to easily discover and manage multiple Platypush services on a network through the web interface, and it easily brings the power of Platypush to your fingertips.
Browser extension
A browser extension is available for Chrome and Firefox.
The browser extension allows you to run Platypush actions and procedures directly from your browser, associate keybindings with them, so you can run your favourite routines with a few keystrokes anywhere in your browser, and provides an advanced API to interact with the Web pages you visit - for example, you can build an action that gets the content of a page you're visiting and uses Platypush to distill it in readable format, or send the URL to another service.
Tests
To run the tests simply run pytest
either from the project root folder or the
tests/
folder.