Proposal

This page is more or less a sandbox where I put my ideas. Feel free to comment.

Main line

pKNyX is not a ready-to-use application: it is a framework. This means that it is up-to-you to write the application which fits your needs.

For that, you will need to know Python, a powerfull , high level, object oriented, scripting language. Don't be afraid: Python is really easy to learn. It is now very popular, and used in many free and commercial applications to extend their capabilities. It is now even teached at school, to young people (~15 years old)! There are hundreds documentations, tutorials and examples on the web, and a huge community. Learning Python is really not a waste of time, and will help you to do many other tasks than simply building your KNX application!

pKNyX will provide you powerfull tools so you will only focus on your problem, and not on language subtilities, like it can be the case with other languages, like C, C++...

Ok, let me show you what I have in mind.

Vocabulary

First, some definitions of terms and concepts I will use in pKNyX. They are the summary of my undersanding of the KNX specifications.

TODO

Functional Blocks

This will be the central feature of pKNyX, allowing user to create virtual devices which mimics real KNX devices. The Device itself will be implemented as the process level.

Here is a very simple example of what I have in mind: creating a virtual minimalistic weather station, which uses informations from a non-KNX real weather-station, or from a web site. This station only implements temperature/humidity.

from pknyx.api import FunctionalBlock, Stack, ETS, Scheduler


stack = Stack(individualAddress="1.2.3")
ets = ETS(stack)
schedule = Scheduler()


class WeatherTemperatureBlock(FunctionalBlock):

    DP_01 = dict(name="temperature", access="output", dptId="9.001", default=19.)
    DP_02 = dict(name="humidity", access="output", dptId="9.007", default=50.)

    GO_01 = dict(dp="temperature", flags="CRT", priority="low")
    GO_02 = dict(dp="humidity", flags="CRT", priority="low")

    @schedule.every(minute=5)
    def updateTemperatureHumidity(self, event):
        # temperature = xxx
        # humidity = xxx
        self.dp["temperature"] = temperature
        self.dp["humidity"] = humidity


ets.register(WeatherTemperatureBlock, name="weather_temperature", desc="A simple weather temperature/humidity example")

ets.weave(fb="weatherTempBlock", dp="temperature", gad="1/1/1")
ets.weave(fb="weatherTempBlock", dp="humidity", gad="1/1/2")

stack.mainLoop()

That's it! As you can see, concepts used here are simple... This Functional Block can be then used from any other real device of your installation, through Groups Addresses 1/1/1 and 1/1/2. All you have to do, is to weave (link, bind...) the Group Objects of your real devices to these Groups Addresses, using the real ETS application.

Lets have a closer look to this example. First, we import some python objects:

from pknyx.api import FunctionalBlock, Stack, ETS,  Scheduler

These objects are classes.

We then instanciante some high level objects and helpers:

stack = Stack(individualAddress="1.2.3")
ets = ETS(stack)
schedule = Scheduler()

The Stack object is used to communicate over the bus (real bus, of course, but also virtual bus). We can give it an Individual Address, to mimic real devices behaviour. This address will be used as Source Address when communicating over the bus.

The ETS object is a tool which works more or less like the real ETS application (see below).

The Scheduler is a helper implementating a powerfull scheduler (see below).

The main part is to create our custom Functional Block; this is done by subclassing the FunctionBlock base class, and adding a few attributes/methods:

class WeatherTemperatureBlock(FunctionalBlock):

    DP_01 = dict(name="temperature", access="output", dptId="9.001", default=19.)
    DP_02 = dict(name="humidity", access="output", dptId="9.007", default=50.)

    GO_01 = dict(dp="temperature", flags="CRT", priority="low")
    GO_02 = dict(dp="humidity", flags="CRT", priority="low")

The DP_xx class attributes are the Datapoints of our Functional Block. The GO_xx class attributes are the Group Objects mapping the Datapoints to the bus. They are both defined as python dictionnary; they will be automatically instanciated for us by the framework. The named used here do not matter, as long as they start with DP_ for Datapoints, and GO_ for Group Objects.

There are a few parameters in the dicts; some are obvious, some will need more explanations. But this is out of the scope of this proposal.

In our class, we also defined a method which role is to update the temperature and humidity Datapoints values:

    @schedule.every(minute=5)
    def updateTemperatureHumidity(self, event):
        # temperature = xxx
        # humidity = xxx
        self.dp["temperature"].value = temperature
        self.dp["humidity"].value = humidity

Note how this method is periodically called, using the schedule.every() method as python decorator. This decorator will automatically register our method and call it every 5 minutes.

In this method, we get the temperature and humidity values (not explained here), and give these values to the respective Datapoints.

Then, we register our new Funtional Block (this will automatically instanciate it - and do other things):

ets.register(WeatherTemperatureBlock, name="weather_temperature", desc="A simple weather block example")

and use the ETS object to weave (bind, link...) our Datapoints (their matching Group Objects, in fact) to Group Addresses:

ets.weave(fb="weatherTempBlock", dp="temperature", gad="1/1/1")
ets.weave(fb="weatherTempBlock", dp="humidity", gad="1/1/2")

And finally, we launch the framework main loop:

stack.mainLoop()

(this call is blocking).

We now have a process (Device) running, listening to the bus. The Datapoints, through their respective Group Objects, will react to requests on the Group Addresses they are weaved to ("1/1/1" and "1/1/2"). According to the flags, they will transmit their internal value on Read requests or if their value internally change (updated). Yes, you don't have to manage this: pKNyX does it for you! This is the all point of a framework, isn't it?

That's it for now. This is only a draft version; final implementation may change, according to feedback/suggestions I will get. But the core is all there. Again, the goal of the framework is to provide very high level tools to build complete and powerfull applications and KNX extensions.

Simple rule

My first idea was to provide a special API to create rules, but in fact, they can be implemented as Functional Block. This way, we use the same paradigm, wich is always better ;o)

Let's have a look at another example; this is something I currently implemented as a rule in linknx. Here, I juste create a Functional Block:

from pknyx.api import FunctionalBlock, Stack, ETS, Scheduler


stack = Stack(individualAddress="1.2.3")
ets = ETS(stack)
schedule = Scheduler()


class HeatingManagerBlock(FunctionalBlock):

    DP_01 = dict(name="temperature", access="input", dptId="9.001", default=19.)
    DP_02 = dict(name="setup", access="input", dptId="9.001", default=19.)
    DP_03 = dict(name="heater", access="output", dptId="1.001", default="Off")

    GO_01 = dict(dp="temperature", flags="CWU", priority="low")
    GO_02 = dict(dp="setup", flags="CWU", priority="low")
    GO_03 = dict(dp="heater", flags="CRT", priority="low")

    @schedule.every(minute=5)
    def manageHeater(self):

        # Read inputs
        temperature = self.dp["bathroom"].value
        setup = self.dp["setup"].value

        # Manage heater
        if temperature < setup - 0.25:
            heater = "On"
        elif temperature > setup + 0.25:
            heater = "Off"

        # Set outputs
        self.dp["bathroom_heater"].value = heater


ets.register(HeatingManagerBlock, name="heating_manager", desc="A simple heating manager block example")

ets.weave(fb="heatingManagerBlock", dp="temperature", gad="1/1/1")
ets.weave(fb="heatingManagerBlock", dp="setup", gad="1/1/2")
ets.weave(fb="heatingManagerBlock", dp="heater", gad="1/1/3")

stack.serve()

All you have to do is to use the Group Addresses you use in your real installation, through ETS application. The first one will update the temperature the Functional Block needs; the second one is used to give the setpoint, and the last one is used to switch on/off a real heater, through a KNX actuator.

Note that it is possible to instanciate several heating managers, and weave them to different heaters.

A more complex heating manager could compute a PID and output the power to use to heat.

linknx compatibility mode

As I still want to use knxweb, I also plan to develop a special device-like object to mimic linknx behaviour. All it has to do is to provide the basic xml services used by clients, to display bus status and send orders. Other features, like advanced configuration, rules and so, will be omitted.

Again, we can use the same Functional Block paradigm. The framework will may have to provide another custom class for that purpose, but it will be used the same way. It will just add specific features, and the internal structure to act as a linknx-like server.

Specific server mode

The purpose of this will be to provide the model part of an automatic web page generation mechanism. I don't know yet how it will exactly work, but the idea is to provide a simple list of usefull informations/settings which can be used from smartphones (simples buttons and displays).

Unsorted ideas

• create managers to get status of all running applications