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bullet-train-rules-engine
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Readme
This project is the JavaScript rules engine that powers user segments for bullet-train.io.
It allows for a recursive ruleset, with ANY
ALL
and NONE
predicates.
It supports the following types of operators:
npm i bullet-train-rules-engine --save
import rulesEngine from 'bullet-train-rules-engine'
// The object to test
const test = {
favouriteColour: 'blue',
hasConfirmedEmail: true,
name: 'kyle',
deepObject: {
hiddenProperty: true
}
};
// The ruleset
const rules = [
{
property: 'favouriteColour',
operator: 'EQUAL',
value: 'blue'
},
{
any: {
rules: [
{
property: 'money',
operator: 'GREATER_THAN_INCLUSIVE',
value: 11
},
{
property: 'hasConfirmedEmail',
operator: 'EQUAL',
value: true
},
{
property: 'deepObject.hiddenProperty',
operator: 'EQUAL',
value: true
},
{
property: 'favouriteColour',
operator: 'NOT_CONTAINS',
value: 'blue'
},
{
none: {
rules: [
{
property: 'favouriteColour',
operator: 'EQUALS',
value: 'green'
},
{
property: 'money',
operator: 'EQUALS',
value: 99
},
]
}
}
]
},
},
{
all: {
rules: [
{
property: 'name',
operator: 'REGEX',
value: 'ky.*?e'
},
]
}
}
];
rulesEngine(test, rules)
.then(({result, rules}) => {
// use the overall result and see a breakdown of which rules comply
});
The rules engine expects an array of rules, rule objects are either:
All, any, none rules Evaluate to true or false based on evaluating all child rules. Child rules can be leaf rules or nested All/any/none rules,
{
all: {
rules: [
{ // Nested all, any, none rule
all|any|none: {
rules: [...]
}
},
{ // Leaf rule
property:'',
operator:'',
value:'',
}
]
}
}
Leaf rules Evaluate to true or false based on the tested value, expected value and operator.
{
property: 'eyeColour', // The name of the property that is being targeted .e.g
operator: 'EQUALS', // The operator
value: 'blue' // The expected value
}
Clone the repository and run:
npm i
npm start
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
If you encounter a bug or feature request we would like to hear about it. Before you submit an issue please search existing issues in order to prevent duplicates.
If you have any questions about our projects you can email projects@solidstategroup.com.
FAQs
Feature flagging to support continuous development
The npm package bullet-train-rules-engine receives a total of 22 weekly downloads. As such, bullet-train-rules-engine popularity was classified as not popular.
We found that bullet-train-rules-engine demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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