axiom: Web EDSL for running in browsers and server nodes using transient

[ library, mit, web ] [ Propose Tags ]

Client-and Server-side Haskell framework that compiles to javascript with the GHCJS compiler and run over Transient. See homepage


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Versions [RSS] 0.4.3, 0.4.4, 0.4.5, 0.4.6, 0.4.7
Dependencies base (>4.0 && <6.0), bytestring, containers, directory, ghcjs-base, ghcjs-perch (>=0.3.3), mtl, transformers, transient (>=0.6.0.1), transient-universe (>=0.5.0.0) [details]
License MIT
Author Alberto Gómez Corona
Maintainer agocorona@gmail.com
Category Web
Home page https://github.com/transient-haskell/axiom
Bug tracker https://github.com/transient-haskell/axiom/issues
Source repo head: git clone http://github.com/agocorona/axiom
Uploaded by AlbertoCorona at 2018-05-29T22:34:03Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 3616 total (15 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2018-05-29 [all 1 reports]

Readme for axiom-0.4.7

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Axiom logo

Hackage Stackage LTS Stackage Nightly Build Status

For some examples, see the transient-examples repository: distributedApps.hs and webapp.hs

The source code of these applications can be executed in the commmand line if you have docker installed.

Gitter

Axiom (the new name of ghcjs-hplay) is also the Web user interface of Transient. The Web functionality of transient will be called Axiom, like the cruise starship of Wall-e. Axiom is made to let you navigate the universe of nodes in the cloud through your browser while you are comfortably seated in your hoverchair.

Unlike his predecessor, hplayground, Axiom has full integration with Transient and can run widgets that run code on the server, the client or both.

Axiom execute browser widgets that are reactive, can be composed monadically and algebraically (applicative, alternative, monoidal..). At the same time they participate in cloud computations. A widget can execute code in the server and, trough the server, in any node on the cloud using the same cloud primitives defined in transient-universe. The example applications include widgets that perform distributed map-reduce and federated chat servers as well as stream fibonacci numbers from server to client and from client to server.

To see how it integrates with Transient and how to create client-server applications, see the web paragraphs of the transient tutorial.

To see how to create client side applications and widgets (with no server code integration), look for hplayground package. Tutorial

How it works

The JS program compiled with GHCJS is sent to the browser, then it opens a websockets connection. Then the most useful primitive is atRemote wich execute his argument in the server and return the result back to the client (or viceversa, see below). The communication transport the variables necessary for executing the computation remotely. There is no explicit serialization neither communication. All is done implicitly.

atRemote can be executed inside itself, so a computation can jump from server to client and back. So a browser can be controlled by the server or the other way aroud. But the execution starts in the browser. Only the variable values already computed are transported to execute remotely. In the other side, streaming and reactivity in both directions is included since atRemote and other primitives are reactive (see the transient tutorial).

In the other side, there is an experimental template editor to generate static HTML templates. The server can execute a rest route and bring the corresponding page template and the JS code to the browser, so web crawlers can find something to read. Also in Axiom everithing compose algebraically with standard applicative, alternative and monoidal operators, and also monadically:

Larger widgets can be composed with algebraic combinations of smaller widgets. No limits. Widgets can have server side (they can use atRemote) so they are full stack, autonomous pieces down to the cloud. They make perfect software components.

Events do not bubble up to the top like in the case of React. An event within a widget produce a monadic response that executes widgets down trough the monad without affecting the surrounding rendering not affected by the event. That is why Axiom does not need a Virtual DOM, and the logic of the application and the execution flow match, so it produces a clean and understandable code. look at the TODO app (it is client-side only)

http://tryplayg.herokuapp.com/try/todo.hs/edit

Axiom also implement widgets that works as spreadsheet cells, with formulas depending on other cells. These formulas can be executed in the server, so they have full access to databases, mumber crunching, map-reduce etc. This functionality need some testing.

How to install & run fast

use initNode to initalize the application. Example below.

If you have docker

You can use a docker image that has GHC, GHCJS and Transient installed. First you should create this executable shell with this content and save it to an executable location:

$ cat execthirdline.sh
command=`sed -n '3p' ${1} | sed 's/-- //'`
eval $command $1 $2 $3

Then add this to the head of your main source file:

#!/usr/bin/env ./execthirdline.sh
-- compile an Axiom program with ghcjs and execute it with runghc
-- set -e && port=`echo ${3} | awk -F/ '{print $(3)}'` && docker run -it -p ${port}:${port} -v $(pwd):/work agocorona/transient:24-03-2017  bash -c "cd work && mkdir -p ./static && ghcjs ${1} -o static/out && runghc ${1} ${2} ${3}"

That header compiles the program with GHCJS and write the javascript code generated to the "static" folder and then executes the server program in interpreted mode with runghc. This is useful for rapid development, since you can modify the code and re-execute it very fast.

To fully compile and execute the program, you can susbstitute runghc by ghc and execute the binary. The header would look like:

#!/usr/bin/env ./execthirdline.sh
-- compile an Axiom program with ghcjs and with ghc, then execute the program
-- set -e && port=`echo ${3} | awk -F/ '{print $(3)}'` && docker run -it -p ${port}:${port} -v $(pwd):/work agocorona/transient:24-03-2017  bash -c "cd work && mkdir -p ./static && ghcjs ${1} -o static/out && ghc ${1}  -o program && chmod 777 program && ./program ${2} ${3}"

That header, besides executing the application, it would also create a "program" executable in your host machine (as well as an "static" folder with files needed for the client-side application. You can execute it natively in a linux distro in the way it will be described below.

More complicated projects can be compiled and executed using cabal and stack. You can modify the header accordingly.

For example, this is a program that is directly executable with docker

#!/usr/bin/env ./execthirdline.sh
-- compile it with ghcjs and  execute it with runghc
-- set -e && port=`echo ${3} | awk -F/ '{print $(3)}'` && docker run -it -p ${port}:${port} -v $(pwd):/work agocorona/transient:24-03-2017  bash -c "cd work && mkdir -p ./static && ghcjs ${1} -o static/out && runghc ${1}  ${2} ${3}"

import Prelude hiding (div, id, span)
import Transient.Base
import GHCJS.HPlay.View
import Transient.Move
import Transient.Indeterminism
import Data.IORef
import Control.Concurrent (threadDelay)
import Control.Monad.IO.Class
import Data.Monoid

main= keep . initNode . onBrowser $ do 
    local . render $  wlink () (h1 "hello fibonacci numbers")
    
    r <-  atRemote $ do
                r <- local . threads 1 . choose $ take 10 fibs
                localIO $ print r
                localIO $ threadDelay 1000000
                return r
    
    local . render . rawHtml $ (h2 r)
    where
    fibs = 0 : 1 : zipWith (+) fibs (tail fibs) :: [Int]  -- fibonacci numb. definition

To execute the program:

> chmod 777 YourSource.hs
> ./YourSource.hs -p start/<host>/<port>

where are defined by you. for example ./YourSource.hs -p start/localhost/8080

The program will be accessed from outside docker as a web application. Read the documentation of Docker for your platform about how to invoke it.

If you want to run it in a host Linux machine, you can generate the browser code and the executable from docker in the way described above. Then in in the host you can execute it:

> ./program - p start/localhost/8080

If you want to install Axiom in your host machine:

You need to install stack and ghcjs. The latter is not an easy task.

Then install Axiom in stack/ghc:

> stack install axiom

This should install ghc and compile everithing.

Alternatively, you can install Haskell platform and:

> cabal install axiom

In any case you need to install Axiom in GHCJS too:

> cabal install axiom --ghcjs

How to compile and run a program

> mkdir  static 
> ghcjs yourProgram.hs -o static/out
> ghc yourProgram.hs

> yourProgram -p start/yourhost/yourport

How to run Distributed applications

If your program use inputNodes to connect N server nodes, you must use additional parameters in the command line:

in a computer or docker instance:

> yourProgram -p start/host1/port1

In the same or another computer or docker instance:

> yourProgram -p start/host2/port2/add/host1/port1/y

in the same or another computer or docker instance:

> yourProgram -p start/host3/port3/add/host1/port1/y

Be sure that the host:port ip addresses are reachable from all the machines.

This connect all the server nodes among them.

The web browser can point to any host:port of them. You must have the static folder (wich contains the generated javascript files) as well as the executable in all the locations.

See distrbutedApps that contain examples of distributed web applications.

Plans:

Axiom web nodes are client side applications. So dHTML rendering happens on the browser. It is intended to implement server side rendering as well as multipage navigation. The last release support page navigation and page templates for the creation of server-side content.