jsongraph
v1.0.71
Published
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: () -> [email protected]
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