I am basically trying to convert a flat json file to tree view. Here the parent child relationship required for tree view is mentained by links key using source and target.
Here is the sample raw input:
{
"nodes" : [
{
name: "bz_db",
index: 0
},
{
name: "mysql",
index: 1
},
{
name: "postgres",
index: 2
},
{
name: "it-infra",
index: 3
},
{
name: "user-count",
index: 4
}
],
links: [
{
source: 0, target: 1
},
{
source: 0, target: 3
},
{
source: 1, target: 3
},
{
source: 3, target: 4
}
]
}
As you can see the link field maintains this relation ship, and finally I want my data in this format:
{
name: "bz_db",
children: [
{
name: "mysql",
children: [
{
name: "it-infra",
children: [
{
name: "user_count",
children: []
}
]
}
]
},
{
name: "it-infra",
children: [{
name: "user_count",
children: []
}
]
}
]
}
I tried to solve this, but it worked for 1 level (to show immediate child of a selected root element.
var findObjectByKeyValue = function(arrayOfObject, key, value){
return _.find(arrayOfObject, function(o){ return o[key] == value})
}
var rootObject = findObjectByKeyValue(sample_raw_input.nodes, 'name', 'bz_db');
var treeObject = {
name: rootObject.name,
index: rootObject.index,
root: true,
children: []
};
angular.forEach(dependencyData.links, function(eachLink){
if(treeObject.index == eachLink.source){
var rawChildObject = findObjectByKeyValue(dependencyData.nodes, 'index', eachLink.target);
var childObject = {};
childObject.index = rawChildObject.index;
childObject.name = rawChildObject.name;
childObject.children = [];
treeObject.children.push(childObject);
}
});
But the above code returns me only first level of depndencies, but i want hierarchical relationship. I know i can use recursion here. But I am not so comfortable with it.
Josh's answer uses a sequence of map->filter->map->find calls, each of which iterate thru a collection of data. This loop of loop of loop of loops results in a stunning amount of computational complexity as the number of nodes in your collection increases.
You can dramatically simplify the creation of the tree by using a single reduce pass on each nodes and links. Map can also perform look-ups in logarithmic time, compared to Array's find which requires linear time (slower). When you consider this operation is called for each element of the input, it's clear to see a significant difference in time.
const makeTree = (nodes = [], links = []) =>
links.reduce
( (t, l) =>
t.set ( l.source
, MutableNode.push ( t.get (l.source)
, t.get (l.target)
)
)
, nodes.reduce
( (t, n) => t.set (n.index, MutableNode (n.name))
, new Map
)
)
.get (0)
Lastly, we provide the MutableNode interface we relied upon
const MutableNode = (name, children = []) =>
({ name, children })
MutableNode.push = (node, child) =>
(node.children.push (child), node)
Below is a full program demonstration. JSON.stringify is used only to display the result
const MutableNode = (name, children = []) =>
({ name, children })
MutableNode.push = (node, child) =>
(node.children.push (child), node)
const makeTree = (nodes = [], links = []) =>
links.reduce
( (t, l) =>
t.set ( l.source
, MutableNode.push ( t.get (l.source)
, t.get (l.target)
)
)
, nodes.reduce
( (t, n) => t.set (n.index, MutableNode (n.name))
, new Map
)
)
.get (0)
const data =
{ nodes:
[ { name: "bz_db", index: 0 }
, { name: "mysql", index: 1 }
, { name: "postgres", index: 2 }
, { name: "it-infra", index: 3 }
, { name: "user-count", index: 4 }
]
, links:
[ { source: 0, target: 1 }
, { source: 0, target: 3 }
, { source: 1, target: 3 }
, { source: 3, target: 4 }
]
}
const tree =
makeTree (data.nodes, data.links)
console.log (JSON.stringify (tree, null, 2))
You can rely on tracking an object reference and do this without any recursion. Using Object.assign, map the list of nodes to its children:
// Assuming that input is in `input`
const nodes = input.nodes.reduce((a, node) => {
a[node.index] = { ...node, index: undefined };
return a;
}, []);
// organize the links by their source
const links = input.links.reduce((a, link) => {
return a.set((a.get(link.source) || []).concat(nodes[link.target]);
}, new Map());
// Apply side effect of updating node children
nodes.forEach(node => Object.assign(node, {
children: links.get(node.index),
}));
So I'm taking the list of nodes, and assigning to each (to mutate the node itself -- keep in mind this is a side-effect) a new array. Those children are all the links that link this node, and we Array#map them to convert their target ID into the actual node we want.
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