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jsongraph

powerful minimalist graph/dataflow programming based on jsonschema references (nodejs/coffeescript)

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Dont think trees, think jsongraph, think graphmorphic applications.

NOTE #1: this module is based on json-ref-lite. Use json-ref-lite if you just want to work with plain jsongraphs, without the dataflow runtime below.

NOTE #2: for server/clients sharing a restgraph see ohmygraph

Usage

npm install --save jsongraph

or in the browser (adds 3.3k gzipped)

<script type="text/javascript" src="jsongraph.min.js"></script>

Graph b<->a<-c expressed in json using jsonschema pointers:

jg = require 'jsongraph' 
json = {
  "a": { "$ref": [{"$ref":"/graph/b"}] },
  "b": { "$ref": [{"$ref":"/graph/a"}] },
  "c": { "$ref": [{"$ref":"/graph/a"}] }
}

NOTE: see javascript version here

Or on the fly

jg = require 'jsongraph' 
jg.opts.verbose = 2
graph = jf.init {graph:{}}

# add nodes
a = graph.add "a"
b = graph.add "b"
c = graph.add "c"

# link a->b and c->a
graph.link a,b
graph.link "c","a"

NOTE: see javascript version here

Lets run the graph!

graph.run 'c', {foo:"bar"}

output:

[ b ]
  ├ input : {"foo":"bar"}
  ├ "$ref": {"foo":"bar"}
[ a ]
  ├ input : {"foo":"bar"}
  ├ "$ref": {"foo":"bar"}

NOTE: see javascript version here

Feature: register plugins & process data

You can process data, and do graph- or flowbased programming like so:

json =
  graph:
    a: { type: "foo", "$ref": [{"$ref": "#/graph/b"}] }
    b: { "$ref": [{"$ref": "#/graph/a"}] }

jg.register 'foo', (me,data,next) ->
  data.foo = true;
  next me,data

output:

[ b ]
  ├ input : {}
  ├ "$ref": {"b":true}
[ a ]
  ├ input : {"b":true}
  ├ "$ref": {"b":true,"foo":true}

Now when data.foo is set, whenever a node with type foo is executed.

Feature: bind custom actions to nodes

When the graph is executed, you can easily walk the graph and pause/do stuff:

# bind custom functions
process = 
  b: (me,data,next) ->
    data.b = true
    next me, data 

graph.run 'b', {}, (me,data,next) -> 
  if process[me.name]?                 # every node
    process[me.name](me,data,next)     # will call
  else next me,data                    # this function

Feature: global filters

Filters are useful to easily process data on a global level. This is especially handy for debugging and safety purposes.

path = []
jg.filters.global.rememberpath = (node,data) ->
  path.push node.name
graph.run 'b'
console.log path.join '->'

output:

b->a

Graph Expressions

(Re)evaluate data into your graph before calling run():

json =
  graph:
    a: { value: "{book.category[0].text}" }
    b:
      value: "{foo}"
      value_int: {"$ref":"#/data/book/code"}
      value_str: {"$ref":"#/data/book/category[0].text"}

data = 
  book:{ code: 1, category: [{text: "fairytales stories"}] }
  foo: () -> ++@.book.code

graph.evaluate data, {parsers:["expr","ref"]}
graph.dump()

output:

{
  "graph": {
    "a": { "value": "fairytales stories" },
    "b": { "value": "2", "value_int": 1, "value_str": "fairytales stories" }
  }
}

Instead of evaluating the whole graph, you can also just evaluate a single node (variable):

graph.set 'a', graph.evaluate( data, {graph:graph.get('a')} )

See the javascript or coffeescript here

Notes

  • increase the jg.opts.verbose value for more verbose console.log "$ref"
  • jg.opts.maxrecurse is set to '1' by default to prevent infinite recursion. You can set this to another value, but you'll need to prepare your process-functions to keep track of this instead.
  • overriding the jg.opts.halt function allows you to implement your own node-halting flow

Philosophy

  • everything, including life is a unidirected graph
  • peanuts are nice

Keywords

dataflow

FAQs

Package last updated on 06 Nov 2015

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