In clojure, code is data, the fun-map turns value fetching function call into map value accessing.
For example, when we store a delay as a value inside a map, we may want to retrieve the value wrapped inside, not the delayed object itself, i.e. a deref
automatically be called when accessed by map's key. This way, we can treat it as if it is a plain map, without the time difference of when you store and when you retrieve. There are libraries exist for this purpose commonly known as lazy map.
Likewise, we may want to store future object to a map, then when accessing it, it's value retrieving will happen in another thread, which is useful when you want parallels realizing your values. Maybe we will call this future map?
How about combine them together? Maybe a delayed future map?
Also there is widely used library as prismatic graph, store functions as map values, by specify which keys they depend, this map can be compiled to traverse the map.
One common thing in above scenarios is that if we store something in a map as a value, it is intuitive that we care just its underlying real value, no matter when it can be accessed, or what its execution order. As long as it won't change its value once referred, it will be treated as a plain value.
Any value implements clojure.lang.IDeref
interface in a fun-map will automatically deref
when accessed by its key. In fact, it will be a deep deref, keeps deref
until it reaches a none ref value.
(require '[robertluo.fun-map :refer [fun-map fnk touch]])
(def m (fun-map {:a 4 :b (delay (println "accessing :b") 10)}))
(:b m)
;;"accessing :b"
;;=> 10
(:b m)
;;=> 10 ;Any function as a value will be just be invoked once
Or future objects as values that will be accessed at same time.
(def m (fun-map {:a (future (do (Thread/sleep 1000) 10))
:b (future (do (Thread/sleep 1000) 20))}))
(touch m)
;;=> {:a 10, b 20} ;futures in :a, :b are evaluated parallelly
A function in fun-map and has :wrap
meta as true
takes the map itself as the argument, return value will be unwrapped when accessed by key.
fnk
macro will be handy in many cases, it destructs args from the map, and set the :wrap
meta.
(def m (fun-map {:xs (range 10)
:count-keys ^:wrap (fn [m] (count (keys m)))
:sum (fnk [xs] (apply + xs))
:cnt (fnk [xs] (count xs))
:avg (fnk [sum cnt] (/ sum cnt))}))
(:avg m)
;;=> 9/2
(:count-keys m)
;;=> 5
Notice the above example looks like a prismatic graph, with the difference that a fun-map remains a map, so it can be composed like a map, like merge
with other map, assoc
plain value, etc.
Though you should watch out that fun-map does not compute dependencies of keys and the function in a value will just be invoked once, re-assoc a value will not cause its dependents re-invoke.
Fun-map also can be nested, so you could get-in
or update-in
.
Accessing values of fun-map can be traced, which is very useful for logging, debugging and make it an extremely lightweight (< 100 LOC now) life cycle system.
(def invocations (atom []))
(def m (fun-map {:a 3 :b (fnk [a] (inc a)) :c (fnk [b] (inc b))}
:trace-fn (fn [k v] (swap! invocations conj [k v]))))
(:c m) ;;accessing :c will in turn accessing :b
@invocations
;;=> [[:b 4] [:c 5]]
Using above trace feature, it is very easy to support a common scenario of components. The starting of components is simply accessing them by name, life-cycle-map
will make it haltable (implemented java.io.Closeable
also) by reverse its starting order.
(def system
(life-cycle-map
{:component/a
(fnk []
(reify java.io.Closeable
(close [_]
(println "halt :a"))))
:component/b
(fnk [:component/a]
(reify java.io.Closeable
(close [_]
(println "halt :b"))))}))
(touch system) ;;start the entire system, you may also just start part of system
(halt! system)
;;halt :b
;;halt :a
Haltable
protocol can be extended to your type of component, or you can implement java.io.Closeable
interface to indicate it is a life cycle component.
Copyright © 2018 Robertluo
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.
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