CUST-7 Alfresco the Clojure Way

Alfresco
The Clojure way Carlo Sciolla, Sr R&D Developer at Backbase

ALFRESCO THE CLOJURE WAY | November 8, 2011 | @skuro

Thursday, November 10, 2011

I would like, if I may, to take you on a strange journey.



public void printAllNames(repo) {
AuthenticationUtil.runAs(new RunAsWork () {
public Object doWork(){
for (NodeRef node : getAllNodes(repo)) {
String name = getName(node);
System.out.println(name);
}
}
}, AuthenticationUtil.getAdminUserNAme())
}

Sample user story
As admin,
I want to loop through all the nodes from the Alfresco repository,
So that I can print their names


(defn print-all-names [repo]
(run-as (admin)
(doseq [node (to-seq repo)]
(println (property node “cm:name”)))))

#LOC < 1/2

Sample user story
As admin,
I want to loop through all the nodes from the Alfresco repository,
So that I can print their names


(defn print-all-names [repo] Java interop
(AuthenticationUtil/runAs
(reify AuthenticationUtil$RunAsWork
(doWork [this]
(admin)))

How to get there
Having only moved parenthesis around and tweaked it a bit, we
eventually translated our code into Clojure. We still have to get rid of
the anonymous class.


(defmacro run-as
[user f]
`(let [work# (reify AuthenticationUtil$RunAsWork
(~'doWork [~'this]
~f))]
(AuthenticationUtil/runAs work# ~user)))

Reﬂection on massive steroids
Macros are “special” functions that, at compile time, shufﬂe the
pieces they receive in input and return a function. They’re misterious
and powerful: don’t try to decode it now, young jedi.


(run-as (admin)

Straight to the point
Clojure, as any Lisp, allows you to easily create clear and concise
DSLs. New functions to enhance expressivity to your programs.
Fewer lines to maintain.


(run-as (admin)

https://github.com/skuro/lambdalf

Here be Lambdalf
While Clojure allows direct access to Java classes and instances,
lambdalf provides a more idiomatic access to the core Alfresco API.
You’ll see some examples along the way.


(run-as (admin)

Lost In Superﬂuous Parenthesis?
It is usually perceived that Lisp code has an overwhelming amount of
parenthesis.



Parenthesis count

VS
26
18 24 w/expanded macro

Lost In Superﬂuous Parenthesis?
It is usually perceived that Lisp code has an overwhelming amount of
parenthesis. Itʼs usually unfair.



the sexp and the city
or: How I learned to stop worrying and love the parens



sexp = | primitive-elem
| list of s-expression

Symbolic Expressions
List based data structures. They may be a nested list of smaller S-
expressions. Best known for their use in Lisp.
(Wikipedia)


Symbols: ns/foo Keywords: :key
odd? ::qualified
+ :ns/qualified
this!is_a+single*symbol-42 :can+be!weird

Literals: “string”
c space tab
42 3.14 42/11 36r16
true false
#”^[a-zA-Z]*”
nil

Primitive data types
Basic building blocks. Most of them should look familiar, or meaningful.
Hopefully.



list (c “list” :something)

vector [“vector” 42 :foobar]

map {:question “life, universe and everything”
:answer 42}

set #{“foo” 42 :bar}

Collections or sequences
All aggregate data types can be encapsulated under the same
interface: ISeq. Use the powerful Clojure sequence processing library
to rule them all, but beware: they are all immutable!


list (quote (c “list” :something))

list ‘(c “list” :something)

(run-as (admin)
function calls

LISt Processing
Lists are king among data structures in any Lisp: they also happen to
be code (homoiconicity). Lists are executed by evaluating the ﬁrst
symbol to a function, then calling it with the others as parameters.


immutability
and the art of motorcycle maintenance



Horse horse = new Horse(14);
horse.getPosition();
??

t

Where is the horse?
The same “thing” such as a variable or an Object, can be completely
different at different moments in time. We call such things identities,
and they relate to a sequence of values.


(defn move [h]
{:pos (inc (:pos h))})

(def horse
{:pos 14})

(:pos horse) ; 14

(move horse) ; {:pos 15}

Persistent data structures
All data structures are immutable after their creation. As such, you
never change them, but rather create new versions of it. We call them
values, and are effectively easier to handle than Objects.


Structural sharing
When creating a new version of a value, Clojure runtime optimizes the
process and allows different version of the same data structure to
share parts in memory.


concurrency



private HashMap _map = new HashMap();

public void oneMore(Object k, Object v) {
#fail _map.put(k, v);
}

Shared mutable state
It’s sometimes desirable to access the same identity from different
threads. When going concurrent, several tasks that used to be trivial
are now extremely hard. OO makes it even harder.


Software Transactional Memory
Similarly to databases, Clojure runtime uses transactions to handle
concurrent access to shared mutable state. Every thread gets the
current value, if changes occur outside, the transaction rolls back.


(def _shared (ref {}))

(defn update
[old k v]
(assoc old k v))

(defn one-more
[k v]
(dosync
(alter _shared update k v)))

Concurrency IS rocket science
Sorting out concurrency is an extremely difﬁcult task. Clojure provides
language level barriers against poorly designed concurrent access to
shared mutable state.


sync coord
clojure.core/ref
([x] [x & options])

clojure.core/atom
([x] [x & options])

clojure.core/agent
([state & options])

Thereʼs no silver bullet
Different concurrent access patterns require different constructs.
Programmers still have to pay attention to which kind of concurrency
control to use.


the seq library



clojure.core/seq
([coll])
Returns a seq on the collection.
If the collection is empty, returns nil.
(seq nil) returns nil. seq also works on
Strings, native Java arrays (of reference
types) and any objects that implement
Iterable.

seq to rule them all
Quite intentionally, you can reduce all Clojure data structures and
Java collections, iterables, Strings and arrays to the very same
interface.


distinct filter remove for keep keep-indexed cons concat
lazy-cat mapcat cycle interleave interpose
rest next fnext nnext drop drop-while nthnext for take
take-nth take-while butlast drop-last for
flatten reverse sort sort-by shuffle split-at split-with
partition partition-all partition-by
map pmap mapcat for replace reductions map-indexed seque
first ffirst nfirst second nth when-first
last rand-nth zipmap into reduce set vec into-array to-
array-2d frequencies group-by apply
not-empty some reduce seq? every? not-every? not-any?
empty? some filter doseq dorun doall seq vals
keys rseq subseq rsubseq lazy-seq repeatedly iterate
repeat replicate range line-seq resultset-seq
re-seq tree-seq file-seq xml-seq iterator-seq
enumeration-seq

One-stop shop
Dealing with a single abstraction allows for the same functions to be
applicable to an incredible number of problems. The richness of the
seq library is the only swiss army knife you need.


fully functional



(run-as (admin)

Sequencing Alfresco
Nodes in Alfresco are stored as a tree. Surely enough, trees can be
represented as nested sequences, allowing for the seq library to
disclose its power.


distinct filter remove for keep keep-indexed cons concat
lazy-cat mapcat cycle interleave interpose
rest next fnext nnext drop drop-while nthnext for take
take-nth take-while butlast drop-last for
flatten reverse sort sort-by shuffle split-at split-with
partition partition-all partition-by
map pmap mapcat for replace reductions map-indexed seque
first ffirst nfirst second nth when-first
last rand-nth zipmap into reduce set vec into-array to-
array-2d frequencies group-by apply
not-empty some reduce seq? every? not-every? not-any?
empty? some filter doseq dorun doall seq vals
keys rseq subseq rsubseq lazy-seq repeatedly iterate
repeat replicate range line-seq resultset-seq
re-seq tree-seq file-seq xml-seq iterator-seq
enumeration-seq

Depth ﬁrst traversal
Using the standard seq library, you can compose a linear sequence
out of a tree structure (of nested sequences).



clojure.core/tree-seq
([branch? children root])
Returns a lazy sequence of the nodes in a
tree, via a depth-first walk. branch? must be
a fn of one arg that returns true if passed a
node that can have children (but may not).
children must be a fn of one arg that returns
a sequence of the children. Will only be
called on nodes for which branch? returns
true. root is the root node of the
tree.

Anatomy of a tree-seq
Functions are ﬁrst class, and tree-seq is a higher order fn that takes
two functions and a data structure to create a ﬂat sequence.



tree.

Thinking Alfresco
Peer to peer associations allow you to create logical trees regardless
of ﬁles and folders structure. For the time being, let’s assume we’re
only interested into parent child assocs between nodes.


(defn type-qname [node]
(m/qname (.getType (node-service) (c/c2j node))))
(defn branch? [node]
(qname-isa? (type-qname node)
(qname "cm:folder")))
(defn qname-isa? [child parent]
(.isSubClass (dictionary-service)
(qname child) (defn qname [qname-str]
(qname parent))) (let [[prefix name] (QName/splitPrefixedQName qname-str)]
(QName/createQName prefix name (namespace-service))))

First step
We know that cm:contains is provided as part of cm:folder
deﬁnition. We check that the given node is of a compatible type.
Lambdalf provides here some Clojure/Java type conversion.


tree.

Populate the seq
Navigating the tree means getting the children of the traversed node,
if any. This is food for the NodeService.



(defn children [node]
(n/children node)))
(defn children [node]
(into #{}
(doall
(map #(c/j2c (.getChildRef %))
(.getChildAssocs (node-service)
(c/c2j node))))))

API bridge
Lambdalf tries to shave the yak for you, and despite its code doesn’t
shine by beauty, it allows for a clean user code. Again, Java and
Clojure interact seamlessly here.


(defn print-all-names [repo] (defn to-seq [node]
(run-as (admin) (tree-seq branch? children node))


Wrapping it up
Most of the mystery is now gone, the core of print-all-names has been
demystiﬁed. While run-as is still magic, it’s easy to tell what’s for.



the lord of the repl
one repl to bring them all and in the lexical scope, bind them



read R prompt
user> (defn Y [r]
eval E ((fn [f] (f f))
(fn [f]
(r (fn [x] ((f f) x))))))
print P #'user/Y
user> result
loop L

Live coding
Similarly to scripted languages, your code is parsed and compiled
into bytecode as soon as you enter it. In facts, you are altering the
current runtime state.


+

$ curl -X POST -u admin:admin
http://localhost:8080/alfresco/service/swank
{port : 4005}

Swank server
Opening a REPL server is just one web script call away. You’ll need a
client to connect, major IDE and editors have one. As usual, Emacs is
superior :-P


the clojure way



(map #(property % name) (query “@cm:name:”Sites””))

(defn query
"Returns all the results of a search"
([q]
(query StoreRef/STORE_REF_WORKSPACE_SPACESSTORE
SearchService/LANGUAGE_LUCENE q))
([store lang q]
(with-open [rs (.query (search-service) store lang q)]
(doall (map c/j2c (.getNodeRefs rs))))))

Warning: alpha code
Lambdalf and Clojure webscripts have a long way ahead in terms of
API maturity and usability, but the basic pieces are out there for you to
start your journey into this new, fancy Lisp.


(write! “new content” node)

(write!
[^String src node]
(let [noderef (c/c2j node)
w (.getWriter (content-service)
noderef
ContentModel/PROP_CONTENT true)]
(.putContent w (ByteArrayInputStream.
(.getBytes src "UTF-8")))))

Warning: alpha code
start your journey into this new, fancy Lisp.


(to-seq (company-home))

(defn to-seq
[root]
(let [user (a/whoami)
branch? (fn [x] (a/run-as user
(m/qname-isa? (n/type-qname x)
(m/qname "cm:folder"))))
children (fn [x] (a/run-as user (n/children x)))]
(tree-seq branch? children root)))

Warning: alpha code
start your journey into this new, fancy Lisp called Clojure.


John
McCarthy
4 September 1927 - 24 October 2011



Q/A



Carlo Sciolla
sr. R&D Developer

http://skuro.tk
@skuro
http://backbase.com

Thank you! “A language that doesn't affect the way you think about programming, is not worth knowing”
Alan J. Perlis

About me
Content specialist, Clojurian, biker.


CUST-7 Alfresco the Clojure Way

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