Description:
raspyrfmclient 1.2.8
raspyrfm-client
A python 3.4+ library that allows the generation of network codes for the RaspyRFM rc module (and other gateways too!).
Build Status
Master
Beta
Dev
How to use
Installation
pip install raspyrfm-client
Usage
For a basic example have a look at the example.py file.
If you need more info have a look at the documentation which should help.
Basic Example
Import required modules
from raspyrfm_client import RaspyRFMClient
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.controlunit_constants import ControlUnitModel
from raspyrfm_client.device_implementations.gateway.manufacturer.gateway_constants import GatewayModel
from raspyrfm_client.device_implementations.manufacturer_constants import Manufacturer
Create the RaspyRFMClient object
Get a client instance by calling:
rfm_client = RaspyRFMClient()
Create a Gateway instance
You can let the library search automatically for gateways available in LAN using:
gateways = rfm_client.search()
This will return a list of Gateways that can later be used to send signals to.
To get a quick overview of what gateway manufacturers and models are supported call:
rfm_client.list_supported_gateways()
Create a gateway instance with the specified IP and Port of your Gateway by using:
gateway = rfm_client.get_gateway(Manufacturer.SEEGEL_SYSTEME, GatewayModel.RASPYRFM, "192.168.2.10", 9876)
or
gateway = rfm_client.get_gateway(Manufacturer.SEEGEL_SYSTEME, GatewayModel.RASPYRFM, "192.168.2.10") # defaults to 49880 or the gateway implementations default
Get a ControlUnit
ControlUnits are the devices that receive the RC signals sent using the gateway, f.ex. a power outlet.
To get a quick overview of what ControlUnits manufacturers and models are supported call:
rfm_client.list_supported_controlunits()
which will give you an indented list of supported manufacturers and their supported models similar to this:
Elro
RC3500-A IP44 DE
AB440S
AB440D 200W
AB440D 300W
AB440ID
AB440IS
AB440L
AB440SC
AB440WD
BAT
RC AAA1000-A IP44 Outdoor
Brennenstuhl
RCS 1000 N Comfort
RCS 1044 N Comfort
Intertek
Model 1919361
[...]
To generate codes for a device you first have to get an instance of its implementation like this:
brennenstuhl_rcs1000 = rfm_client.get_controlunit(manufacturer_constants.BRENNENSTUHL,
manufacturer_constants.RCS_1000_N_COMFORT)
The parameters of the get_controlunit() method always need to be an enum value of the specified type.
You can get an enum constant by its name though using:
manufacturer = Manufacturer("Intertechno")
model = ControlUnitModel("IT-1500")
ControlUnit channel configuration
Before you can generate codes with your shiny new gateway and ControlUnit implementations you have to specify a channel configuration for your ControlUnit. These configurations can be very different for every device. The best way to know the correct way of specifying the channel configuration for a specific device is to look at the source code (yes I know…) or by trial and error (even worse). A good ControlUnit implementation should tell you how the configuration should look like when specifying it in a wrong way.
However all configurations are a keyed dictionary.
So in general there are two ways of passing the channel configuration argument.
One (inline):
device.set_channel_config(value1=1, value2=2)
Two (as a dictionary):
device.set_channel_config(**{
'value1': 1,
'value2': 2
})
Note that the keys always need to be a string.
The second one is the recommended one as it will often result in a much more readable source code.
For our Brennenstuhl device it would look like this:
brennenstuhl_rcs1000.set_channel_config(**{
'1': True,
'2': True,
'3': True,
'4': True,
'5': True,
'CH': 'A'
})
Generate action codes
Now that you have a properly set up ControlUnit you can generate codes for it’s supported actions by using an Action enum constant that you imported previously.
To get a list of supported actions for a ControlUnit call:
brennenstuhl_rcs1000.get_supported_actions()
and generate a code for one of them using your Gateway instance:
code = gateway.generate_code(brennenstuhl_rcs1000, Action.ON)
Send the code to the RaspyRFM module
To send a code for your device of choice you can combine the objects in this call:
rfm_client.send(gateway, brennenstuhl_rcs1000, Action.ON)
This will generate a code specific to the passed in gateway implementation and send it to it’s host address immediately after.
Custom implementations
The raspyrfm-client library is designed so you can implement custom devices in a (hopefully) very easy way.
File Structure
All ControlUnit implementations are located in the /device_implementations/controlunit/manufacturer/ module and implement the base class Device that can be found in /device_implementations/controlunit/base.py.
Create a new ControlUnit
To create a new ControlUnit implementation for a new manufacturer and model create a new subdirectory for your manufacturer and a python file for your model:
───raspyrfm_client
│ │ client.py
│ │
│ └───device
│ │ actions.py
│ │ base.py
│ │
│ └───manufacturer
│ │ manufacturer_constants.py
│ │
│ ├───intertek
│ │ Model1919361.py
│ │
│ ├───rev
│ │ Ritter.py
│ │ Telecontrol.py
│ │
│ ├───universal
│ │ HX2262Compatible.py
│ │
│ └───yourmanufacturer
│ yourmodel.py
──────────────────────────────────────────
Implement a ControlUnit
Now the basic implementation of your ControlUnit should looks like this:
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.base import ControlUnit
class YourModel(ControlUnit):
def __init__(self):
from raspyrfm_client.device_implementations.manufacturer_constants import Manufacturer
from raspyrfm_client.device_implementations.controlunit.controlunit_constants import ControlUnitModel
super().__init__(Manufacturer.YourManufacturer, ControlUnitModel.YourModel)
def get_channel_config_args(self):
return {}
def get_pulse_data(self, action: Action):
return [[0, 0], [0, 0]], 0, 0
def get_supported_actions(self) -> [str]:
return [Action.ON]
Most importantly you have to call the super().__init__ method like shown. This will ensure that your implementation is found by the RaspyRFMClient and you can get an instance of your device using rfm_client.get_controlunit() as shown before.
If your manufacturer does not exist yet create a new enum constant in the manufacturer_constants.py file and use its value in your __init__.
Do the same thing for your model name in the controlunit_constants.py file.
You also have to implement all abstract methods from the Device class. Have a look at it’s documentation to get a sense of what those methods are all about.
After you have implemented all methods you are good to go!
Just call rfm_client.reload_implementation_classes() and rfm_client.list_supported_controlunits() to check if your implementation is listed.
If everything looks good you can use your implementation like any other one.
Exclude a WIP implementation
To prevent the RaspyRFM client from importing your half baked or base class implementation just include a class field like this:
class YourModel(ControlUnit):
DISABLED = True
[...]
Contributing
GitHub is for social coding: if you want to write code, I encourage contributions through pull requests from forks
of this repository. Create GitHub tickets for bugs and new features and comment on the ones that you are interested in.
License
raspyrfm-client by Markus Ressel
Copyright (C) 2017 Markus Ressel
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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