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Flow Mechanics
This tutorial is advanced and can be skipped. It provides background. It explains at the underlying reactive mechanism for dominoes 4-5-6.
Table Of Contents
On Flow
Arguments from authority ...
Everything flows, nothing stands still. (Panta rhei)
No man ever steps in the same river twice for it's not the same river and he's not the same man.
Heraclitus 500 BC. Who, being Greek, had never seen a frozen river. alt version.
Think of an experience from your childhood. Something you remember clearly, something you can see, feel, maybe even smell, as if you were really there. After all you really were there at the time, weren’t you? How else could you remember it? But here is the bombshell: you weren’t there. Not a single atom that is in your body today was there when that event took place .... Matter flows from place to place and momentarily comes together to be you. Whatever you are, therefore, you are not the stuff of which you are made. If that does not make the hair stand up on the back of your neck, read it again until it does, because it is important.
Steve Grand
How Flow Happens In Reagent
To implement a reactive flow, Reagent provides a ratom
and a reaction
.
re-frame uses both of these
building blocks, so let's now make sure we understand them.
ratoms
behave just like normal ClojureScript atoms. You can swap!
and reset!
them, watch
them, etc.
From a ClojureScript perspective, the purpose of an atom is to hold mutable data. From a re-frame
perspective, we'll tweak that paradigm slightly and view a ratom
as having a value that
changes over time. Seems like a subtle distinction, I know, but because of it, re-frame sees a
ratom
as a Signal.
A Signal is a value that changes over time. So it is a stream of values.
The 2nd building block, reaction
, acts a bit like a function. It's a macro which wraps some
computation
(a block of code) and returns a ratom
holding the result of that computation
.
The magic thing about a reaction
is that the computation
it wraps will be automatically
re-run whenever 'its inputs' change, producing a new output (return) value.
Eh, how?
Well, the computation
is just a block of code, and if that code dereferences one or
more ratoms
, it will be automatically re-run (recomputing a new return value) whenever any
of these dereferenced ratoms
change.
To put that yet another way, a reaction
detects a computation's
input Signals (aka input ratoms
)
and it will watch
them, and when, later, it detects a change in one of them, it will re-run that
computation, and it will reset!
the new result of that computation into the ratom
originally returned.
So, the ratom
returned by a reaction
is itself a Signal. Its value will change over time when
the computation
is re-run.
So, via the interplay between ratoms
and reactions
, values 'flow' into computations and out
again, and then into further computations, etc. "Values" flow (propagate) through the Signal graph.
But this Signal graph must be without cycles, because cycles cause mayhem! re-frame achieves a unidirectional flow.
Right, so that was a lot of words. Some code to clarify:
(ns example1
(:require-macros [reagent.ratom :refer [reaction]]) ;; reaction is a macro
(:require [reagent.core :as reagent]))
(def app-db (reagent/atom {:a 1})) ;; our root ratom (signal)
(def ratom2 (reaction {:b (:a @app-db)})) ;; reaction wraps a computation, returns a signal
(def ratom3 (reaction (condp = (:b @ratom2) ;; reaction wraps another computation
0 "World"
1 "Hello")))
;; Notice that both computations above involve de-referencing a ratom:
;; - app-db in one case
;; - ratom2 in the other
;; Notice that both reactions above return a ratom.
;; Those returned ratoms hold the (time varying) value of the computations.
(println @ratom2) ;; ==> {:b 1} ;; a computed result, involving @app-db
(println @ratom3) ;; ==> "Hello" ;; a computed result, involving @ratom2
(reset! app-db {:a 0}) ;; this change to app-db, triggers re-computation
;; of ratom2
;; which, in turn, causes a re-computation of ratom3
(println @ratom2) ;; ==> {:b 0} ;; ratom2 is result of {:b (:a @app-db)}
(println @ratom3) ;; ==> "World" ;; ratom3 is automatically updated too.
So, in FRP-ish terms, a reaction
will produce a "stream" of values over time (it is a Signal),
accessible via the ratom
it returns.
Components (view functions)
When using Reagent, your primary job is to write one or more components
.
This is the view layer.
Think about components
as pure functions
- data in, Hiccup out. Hiccup
is
ClojureScript data structures which represent DOM. Here's a trivial component:
(defn greet
[]
[:div "Hello ratoms and reactions"])
And if we call it:
(greet)
;; ==> [:div "Hello ratoms and reactions"]
You'll notice that our component is a regular Clojure function, nothing special. In this case, it takes no parameters and it returns a ClojureScript vector (formatted as Hiccup).
Here is a slightly more interesting (parameterised) component (function):
(defn greet ;; greet has a parameter now
[name] ;; 'name' is a ratom holding a string
[:div "Hello " @name]) ;; dereference 'name' to extract the contained value
;; create a ratom, containing a string
(def n (reagent/atom "re-frame"))
;; call our `component` function, passing in a ratom
(greet n)
;; ==> [:div "Hello " "re-frame"] returns a vector
So components are easy - at core they are a render function which turns data into Hiccup (which will later become DOM).
Now, let's introduce reaction
into this mix. On the one hand, I'm complicating things
by doing this, because Reagent allows you to be ignorant of the mechanics I'm about to show
you. (It invisibly wraps your components in a reaction
allowing you to be blissfully
ignorant of how the magic happens.)
On the other hand, it is useful to understand exactly how the Reagent Signal graph is wired.
(defn greet ;; a component - data in, Hiccup out.
[name] ;; name is a ratom
[:div "Hello " @name]) ;; dereference name here, to extract the value within
(def n (reagent/atom "re-frame"))
;; The computation '(greet n)' returns Hiccup which is stored into 'hiccup-ratom'
(def hiccup-ratom (reaction (greet n))) ;; <-- use of reaction !!!
;; what is the result of the initial computation ?
(println @hiccup-ratom)
;; ==> [:div "Hello " "re-frame"] ;; returns hiccup (a vector of stuff)
;; now change 'n'
;; 'n' is an input Signal for the reaction above.
;; Warning: 'n' is not an input signal because it is a parameter. Rather, it is
;; because 'n' is dereferenced within the execution of the reaction's computation.
;; reaction notices what ratoms are dereferenced in its computation, and watches
;; them for changes.
(reset! n "blah") ;; n changes
;; The reaction above will notice the change to 'n' ...
;; ... and will re-run its computation ...
;; ... which will have a new "return value"...
;; ... which will be "reset!" into "hiccup-ratom"
(println @hiccup-ratom)
;; ==> [:div "Hello " "blah"] ;; yep, there's the new value
So, as n
changes value over time (via a reset!
), the output of the computation (greet n)
changes, which in turn means that the value in hiccup-ratom
changes. Both n
and
hiccup-ratom
are FRP Signals. The Signal graph we created causes data to flow from
n
into hiccup-ratom
.
Derived Data, flowing.
Truth Interlude
I haven't been entirely straight with you:
-
Reagent re-runs
reactions
(re-computations) via requestAnimationFrame. So a re-computation happens about 16ms after an input Signals change is detected, or after the current thread of processing finishes, whichever is the greater. So if you are in a bREPL and you run the lines of code above one after the other too quickly, you might not see the re-computation done immediately aftern
gets reset!, because the next animationFrame hasn't run (yet). But you could add a(reagent.core/flush)
after the reset! to force re-computation to happen straight away. -
reaction
doesn't actually return aratom
. But it returns something that has ratom-nature, so we'll happily continue believing it is aratom
and no harm will come to us.
On with the rest of my lies and distortions...
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