Observables

Observables are like Refs:

julia> using Observables

julia> observable = Observable(0)
Observable(0)

julia> observable[]
0

But unlike Refs, you can listen for changes:

julia> obs_func = on(observable) do val
           println("Got an update: ", val)
       end
ObserverFunction defined at none:2 operating on Observable(0)

julia> observable[] = 42
Got an update: 42
42

To remove a handler use off with the return value of on:

julia> off(obs_func)
true

Weak Connections

If you use on with weak = true, the connection will be removed when the return value of on is garbage collected. This can make it easier to clean up connections that are not used anymore.

obs_func = on(observable, weak = true) do val
    println("Got an update: ", val)
end
# as long as obs_func is reachable the connection will stay

obs_func = nothing
# now garbage collection can at any time clear the connection

Priority

One can also give the callback a priority, to enable always calling a specific callback before/after others, independent of the order of registration. So one can do:

obs = Observable(0)
on(obs; priority=-1) do x
    println("Hi from first added")
end
on(obs) do x
    println("Hi from second added")
end
obs[] = 2
Hi from second added
Hi from first added

Without the priority, the printing order would be the other way around. One can also return Consume(true/false), to consume an event and stop any later callback from getting called.

obs = Observable(0)
on(obs) do x
    if x == 1
        println("stop calling callbacks after me!")
        return Consume(true)
    else
        println("Do not consume!")
    end
end
on(obs) do x
    println("I get called")
end
obs[] = 2
Do not consume!
I get called
obs[] = 1
stop calling callbacks after me!

The first one could of course also be written as:

on(obs) do x
    return Consume(x == 1)
end

How is it different from Reactive.jl?

The main difference is Signals are manipulated mostly by converting one signal to another. For example, with signals, you can construct a changing UI by creating a Signal of UI objects and rendering them as the signal changes. On the other hand, you can use an Observable both as an input and an output. You can arbitrarily attach outputs to inputs allowing structuring code in a signals-and-slots kind of pattern.

Another difference is Observables are synchronous, Signals are asynchronous. Observables may be better suited for an imperative style of programming.

API

Public

Observables.ObservableType
obs = Observable(val; ignore_equal_values=false)
obs = Observable{T}(val; ignore_equal_values=false)

Like a Ref, but updates can be watched by adding a handler using on or map. Set ignore_equal_values=true to not trigger an event for observable[] = new_value if isequal(observable[], new_value).

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Observables.ObserverFunctionType
mutable struct ObserverFunction <: Function

Fields:

f::Function
observable::AbstractObservable
weak::Bool

ObserverFunction is intended as the return value for on because we can remove the created closure from obsfunc.observable's listener vectors when ObserverFunction goes out of scope - as long as the weak flag is set. If the weak flag is not set, nothing happens when the ObserverFunction goes out of scope and it can be safely ignored. It can still be useful because it is easier to call off(obsfunc) instead of off(observable, f) to release the connection later.

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Observables.async_latestMethod
async_latest(observable::AbstractObservable, n=1)

Returns an Observable which drops all but the last n updates to observable if processing the updates takes longer than the interval between updates.

This is useful if you want to pass the updates from, say, a slider to a plotting function that takes a while to compute. The plot will directly compute the last frame skipping the intermediate ones.

Example:

observable = Observable(0)
function compute_something(x)
    for i=1:10^8 rand() end # simulate something expensive
    println("updated with $x")
end
o_latest = async_latest(observable, 1)
on(compute_something, o_latest) # compute something on the latest update

for i=1:5
    observable[] = i
end
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Observables.offMethod
off(observable::AbstractObservable, f)

Removes f from listeners of observable.

Returns true if f could be removed, otherwise false.

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Observables.offMethod
off(obsfunc::ObserverFunction)

Remove the listener function obsfunc.f from the listeners of obsfunc.observable. Once obsfunc goes out of scope, this should allow obsfunc.f and all the values it might have closed over to be garbage collected (unless there are other references to it).

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Observables.onMethod
on(f, observable::AbstractObservable; weak = false, priority=0, update=false)::ObserverFunction

Adds function f as listener to observable. Whenever observable's value is set via observable[] = val, f is called with val.

Returns an ObserverFunction that wraps f and observable and allows to disconnect easily by calling off(observerfunction) instead of off(f, observable). If instead you want to compute a new Observable from an old one, use map(f, ::Observable).

If weak = true is set, the new connection will be removed as soon as the returned ObserverFunction is not referenced anywhere and is garbage collected. This is useful if some parent object makes connections to outside observables and stores the resulting ObserverFunction instances. Then, once that parent object is garbage collected, the weak observable connections are removed automatically.

Example

julia> obs = Observable(0)
Observable(0)

julia> on(obs) do val
           println("current value is ", val)
       end
ObserverFunction defined at REPL[17]:2 operating on Observable(0)
julia> obs[] = 5;
current value is 5

One can also give the callback a priority, to enable always calling a specific callback before/after others, independent of the order of registration. The callback with the highest priority gets called first, the default is zero, and the whole range of Int can be used. So one can do:

julia> obs = Observable(0)
julia> on(obs; priority=-1) do x
           println("Hi from first added")
       end
julia> on(obs) do x
           println("Hi from second added")
       end
julia> obs[] = 2
Hi from second added
Hi from first added

If you set update=true, on will call f(obs[]) immediately:

julia> on(Observable(1); update=true) do x
    println("hi")
end
hi
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Observables.onanyMethod
onany(f, args...; weak::Bool = false, priority::Int = 0, update::Bool = false)

Calls f on updates to any observable refs in args. args may contain any number of Observable objects. f will be passed the values contained in the refs as the respective argument. All other objects in args are passed as-is.

See also: on.

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Observables.throttleMethod
throttle(dt, input::AbstractObservable)

Throttle a signal to update at most once every dt seconds. The throttled signal holds the last update of the input signal during each dt second time window.

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Extensions of Base methods or internal methods

Observables.ObservablePairType
ObservablePair(first, second)

Two observables trigger each other, but only in one direction as otherwise there will be an infinite loop of updates

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Base.map!Method
map!(f, result::AbstractObservable, args...; update::Bool=true)

Updates result with the result of calling f with values extracted from args. args may contain any number of Observable objects. f will be passed the values contained in the refs as the respective argument. All other objects in args are passed as-is.

By default result gets updated immediately, but this can be suppressed by specifying update=false.

Example

We'll create an observable that can hold an arbitrary number:

julia> obs = Observable{Number}(3)
Observable{Number}(3)

Now,

julia> obsrt1 = map(sqrt, obs)
Observable(1.7320508075688772)

creates an Observable{Float64}, which will fail to update if we set obs[] = 3+4im. However,

julia> obsrt2 = map!(sqrt, Observable{Number}(), obs)
Observable{Number}(1.7320508075688772)

can handle any number type for which sqrt is defined.

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Base.mapMethod
obs = map(f, arg1::AbstractObservable, args...; ignore_equal_values=false)

Creates a new observable obs which contains the result of f applied to values extracted from arg1 and args (i.e., f(arg1[], ...). arg1 must be an observable for dispatch reasons. args may contain any number of Observable objects. f will be passed the values contained in the observables as the respective argument. All other objects in args are passed as-is.

If you don't need the value of obs, and just want to run f whenever the arguments update, use on or onany instead.

Example

julia> obs = Observable([1,2,3]);

julia> map(length, obs)
Observable(3)
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Base.notifyMethod
notify(observable::AbstractObservable)

Update all listeners of observable. Returns true if an event got consumed before notifying every listener.

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Base.setindex!Method
observable[] = val

Updates the value of an Observable to val and call its listeners.

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Observables.clearMethod
clear(obs::Observable)

Empties all listeners and clears all inputs, removing the observable from all interactions with it's parent.

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Observables.to_valueMethod
to_value(x::Union{Any, AbstractObservable})

Extracts the value of an observable, and returns the object if it's not an observable!

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Observables.@map!Macro
@map!(d, expr)

Wrap AbstractObservables in & to compute expression expr using their value: the expression will be computed every time the AbstractObservables are updated and d will be set to match that value.

Examples

julia> a = Observable(2);

julia> b = Observable(3);

julia> c = Observable(10);

julia> Observables.@map! c &a + &b;

julia> c[]
10

julia> a[] = 100
100

julia> c[]
103
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Observables.@mapMacro
@map(expr)

Wrap AbstractObservables in & to compute expression expr using their value. The expression will be computed when @map is called and every time the AbstractObservables are updated.

Examples

julia> a = Observable(2);

julia> b = Observable(3);

julia> c = Observables.@map &a + &b;

julia> c[]
5

julia> a[] = 100
100

julia> c[]
103
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Observables.@onMacro
@on(expr)

Wrap AbstractObservables in & to execute expression expr using their value. The expression will be computed every time the AbstractObservables are updated.

Examples

julia> a = Observable(2);

julia> b = Observable(3);

julia> Observables.@on println("The sum of a+b is $(&a + &b)");

julia> a[] = 100;
The sum of a+b is 103
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