tree-crawl
Agnostic tree traversal library.
- Agnostic: Supports any kind of tree. You provide a way to access a node's children, that's it.
- Fast: Crafted to be optimizer-friendly. See performance for more details.
- Mutation friendly: Does not 💥 when you mutate the tree.
- Multiple orders: Supports DFS pre and post order and BFS traversals.
Quickstart
Installation
You can install tree-crawl
with yarn
:
$ yarn add tree-crawl
Alternatively using npm
:
$ npm install --save tree-crawl
Usage
import crawl from 'tree-crawl'
crawl(tree, console.log)
crawl(tree, console.log, { order: 'pre' })
crawl(tree, console.log, { order: 'post' })
crawl(tree, console.log, { getChildren: node => node.childNodes })
crawl(tree, (node, context) => {
if ('foo' === node.type) {
context.skip()
}
})
crawl(tree, (node, context) => {
if ('foo' === node.type) {
context.break()
}
})
crawl(tree, (node, context) => {
if ('foo' === node.type) {
context.parent.children.splice(context.index, 1)
context.remove()
}
})
crawl(tree, (node, context) => {
if ('foo' === node.type) {
const node = {
type: 'new node',
children: [
{ type: 'new leaf' }
]
}
context.parent.children[context.index] = node
context.replace(node)
}
})
API
Iteratee
Called on each node of the tree.
Type: Function
Parameters
Options
Walk options.
Type: Object
Parameters
Properties
getChildren
Function? Return a node's children.order
("pre"
| "post"
| "bfs"
)? Order of the walk either in DFS pre or post order, or
BFS.
Examples
Traverse a DOM tree.
crawl(document.body, doSomeStuff, { getChildren: node => node.childNodes })
BFS traversal
crawl(root, doSomeStuff, { order: 'bfs' })
crawl
Walk a tree recursively.
By default getChildren
will return the children
property of a node.
Parameters
root
Object Root node of the tree to be walked.iteratee
Iteratee Function invoked on each node.options
Options? Options customizing the walk.
Context
A traversal context.
Four operations are available. Note that depending on the traversal order, some operations have
no effects.
Parameters
skip
Skip current node, children won't be visited.
Examples
crawl(root, (node, context) => {
if ('foo' === node.type) {
context.skip()
}
})
break
Stop traversal now.
Examples
crawl(root, (node, context) => {
if ('foo' === node.type) {
context.break()
}
})
remove
Notifies that the current node has been removed, children won't be visited.
Because tree-crawl
has no idea about the intrinsic structure of your tree, you have to
remove the node yourself. Context#remove
only notifies the traversal code that the structure
of the tree has changed.
Examples
crawl(root, (node, context) => {
if ('foo' === node.type) {
context.parent.children.splice(context.index, 1)
context.remove()
}
})
replace
Notifies that the current node has been replaced, the new node's children will be visited
instead.
Because tree-crawl
has no idea about the intrinsic structure of your tree, you have to
replace the node yourself. Context#replace
notifies the traversal code that the structure of
the tree has changed.
Parameters
Examples
crawl(root, (node, context) => {
if ('foo' === node.type) {
const node = {
type: 'new node',
children: [
{ type: 'new leaf' }
]
}
context.parent.children[context.index] = node
context.replace(node)
}
})
parent
Get the parent of the current node.
Returns Object Parent node.
depth
Get the depth of the current node. The depth is the number of ancestors the current node
has.
Returns Number Depth.
level
Get the level of current node. The level is the number of ancestors+1 the current node has.
Returns Number Level.
index
Get the index of the current node.
Returns Number Node's index.
Performance
tree-crawl
is built to be super fast and traverse potentially huge trees. It's possible because it implements its own stack and queue for traversal algorithms and makes sure the code is optimizable by the VM.
If you do need real good performance please consider reading this checklist first.
Your main objective is to keep the traversal code optimized and avoid de-optimizations and bailouts. To do so, your nodes should have the same hidden class and your code stay monomorphic.
Related
License
MIT © Nicolas Gryman