How to trigger function on value change?

Question:

I realise this question has to do with event-handling and i’ve read about Python event-handler a dispatchers, so either it did not answer my question or i completely missed out the information.

I want method m() of object A to be triggered whenever value v is changing:

For instance (assuming money makes happy):

global_wealth = 0

class Person()
    def __init__(self):
        self.wealth = 0
        global global_wealth
        # here is where attribute should be
        # bound to changes in 'global_wealth'
        self.happiness = bind_to(global_wealth, how_happy)

    def how_happy(self, global_wealth):
        return self.wealth / global_wealth

So whenever the global_wealth value is changed, all instances of the class Person should change their happiness value accordingly.

NB: I had to edit the question since the first version seemed to suggest i needed getter and setter methods. Sorry for the confusion.

Asked By: neydroydrec

||

Answers:

You need a property

class MyClass(object):
    def __init__(self):
        self._x = None

    def x_setter(self, value):
        self._x = value

    def x_getter(self):
        return self._x

    x = property(x_getter, x_setter)

Here, whenever you want to set x MyClass().x = "foo" you will use the x_getter method
and whenever you want to retrieve x print MyClass().xyou will use the x_setter method.

Answered By: Cédric Julien

You can use properties if you want to execute code when attributes are changed. Be wary that big side-effects or significant overhead occurring when an attribute is changed is a little bit surprising to anyone using your API, so in some cases you probably want to avoid it by using methods instead.

class A(object):

    def m(self, p_value):
         print p_value

    @property
    def p(self):
        return self._p 

    @p.setter
    def p(self, value):
        self._p = value
        self.m(value)
Answered By: Rosh Oxymoron

You need to use the Observer Pattern.
In the following code, a person subscribes to receive updates from the global wealth entity. When there is a change to global wealth, this entity then alerts all its subscribers (observers) that a change happened. Person then updates itself.

I make use of properties in this example, but they are not necessary. A small warning: properties work only on new style classes, so the (object) after the class declarations are mandatory for this to work.

class GlobalWealth(object):
    def __init__(self):
        self._global_wealth = 10.0
        self._observers = []

    @property
    def global_wealth(self):
        return self._global_wealth

    @global_wealth.setter
    def global_wealth(self, value):
        self._global_wealth = value
        for callback in self._observers:
            print('announcing change')
            callback(self._global_wealth)

    def bind_to(self, callback):
        print('bound')
        self._observers.append(callback)


class Person(object):
    def __init__(self, data):
        self.wealth = 1.0
        self.data = data
        self.data.bind_to(self.update_how_happy)
        self.happiness = self.wealth / self.data.global_wealth

    def update_how_happy(self, global_wealth):
        self.happiness = self.wealth / global_wealth


if __name__ == '__main__':
    data = GlobalWealth()
    p = Person(data)
    print(p.happiness)
    data.global_wealth = 1.0
    print(p.happiness)
Answered By: Thiago Chaves

What are you looking for is called (Functional) Reactive Programming. For Common Lisp there is Cells – see Cells project and Cells manifesto and for python there is the Trellis library.

Spreadsheets also use the same paradigm. Very useful for keeping track of multiple interrelated parameters – like in GUI programming for example.

Reactive programming is similar to the Observer pattern, but with an important distinction:

Similarities with Observer pattern However, integrating the data flow concepts into the programming language would make it easier to express them, and could therefore increase the granularity of the data flow graph. For example, the observer pattern commonly describes data-flows between whole objects/classes, whereas object-oriented reactive programming could target the members of objects/classes.

Answered By: peterhil

You can try something like this:

class Variable:
    def __init__(self, v):
        self.v=v
        self.command=None
    def set(self, v):
        self.v=v
        if self.command!=None:
            self.command()
    def get(self):
        return self.v
    def trace(self, command):
        self.command=command

x=Variable(0)

def money():
    amount="{:.2f}".format(x.get())
    print("You have $"+amount+".")

x.trace(money)

x.set(5.55)
x.set(15.14)

If you need arguments, just use a lambda function. In light of that (and the accepted answer I more recently examined more thoroughly), here’s a more complex version with comments, more functionality and examples:

class Variable: #This is a class for the variable you want to bind something to
    def __init__(self, v):
        self.v=v
        self.commands=[]
    def set(self, v): #Set the variable's value and call any bound functions
        self.v=v
        for x in self.commands:
            x()
    def get(self): #Get the variable's value
        return self.v
    def trace(self, *commands): #Bind one or more functions to the variable
        for x in commands:
            if x in self.commands:
                raise ValueError("You can’t add the same command object twice. If you need to, use another lambda function that calls the same function with the same parameters.")
        self.commands.extend(commands)
    def untrace(self, *commands): #Unbind one or more functions from the variable
        for x in commands:
            if x not in self.commands:
                raise ValueError(str(x)+" is not a traced command.")
        for x in commands:
            if x in self.commands:
                self.commands.remove(x)
    def clear_traces(self): #Removes all functions bound to the variable
        self.commands.clear()

x=Variable(0) #Make the variable, starting with a value of 0

def money(name): #Define the method to bind
    amount="{:.2f}".format(x.get())
    print(name+" has $"+amount+".")

sam=lambda : money("Sam") #We're making a new method to bind that calls the old one with the argument "Sam"
sally=lambda : money("Sally") #Another one (Sally and Sam will always have the same amount of money while they are both bound to the variable.)

#Bind them both to the value (not that this is practical, but we're doing both for demonstration)
x.trace(sam)
x.trace(sally)

#Set the value
x.set(5.55)
#Unbind the sam lambda function and set the value again
x.untrace(sam)
x.set(15.14)

"""
This prints the following:
> Sam has $5.55.
> Sally has $5.55.
> Sally has $15.14.
"""

Alternative

Anyway, you can also use the built-in functionality that comes with Tkinter, with such as DoubleVar.trace() or someWidget.wait_variable().

The trace() method allows you to bind a method to a StringVar, IntVar, FloatVar, DoubleVar, BooleanVar or such variables. Here’s a full working Python 3.x example:

from tkinter import *

tk=Tk()
tk.withdraw()

d=DoubleVar(master=tk, value=0)

def my_event_handler(*args):
    amount="{:.2f}".format(d.get())
    print("$"+amount)

d.trace(mode="w", callback=my_event_handler)

d.set(5.55)
d.set(15.12)

"""
This prints the following:
> You have $5.55.
> You have $15.12.
"""

You may want to destroy the Tk object at the end of the program. It seems to exit fine without it in my example, however.

wait_variable() is another alternative that causes the calling function to halt without halting your GUI until a variable you specified changes. There are other similar methods, too.

Answered By: Brōtsyorfuzthrāx

Late to the party, but if anyone is looking for a generalized solution that they can slap on code that can’t be modified (say, an object from a library), this solution might be what you’re looking for:

https://gist.github.com/samueldonovan1701/1d43f070a842a33b2e9556693b6d7e46

Use it like so:

class A():
    x = 5
    def f(a, b):
        return a-b

a = A()

a = ObjectObserver.AttachTo(a)

a.onget("x", lambda (val, name, obj): print("a.x -> %s"%val))
a.onset("*", lambda (val, name, obj): print("a.x set to %s"%(name,val)))
a.oncall("*", lambda (args, kwargs, name, obj): print("a.%s called with %s & %s"%(name,args))

a.x = a.x - 10
--> a.x -> 5
--> a.x set to -5

a.f(1,2)
--> a.f called with (1,2) and {}

a.f(a=1, b=2)
--> a.f called with (,) and {'a':1, 'b':2}

Answered By: Sam