@muhammadkasim/xformer
v1.0.12
Published
xFormer provides an extensive set of utilities, a way to define declarative transformation pipelines and a parser to facilitate easier data transformations.
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XFormer: Easier Data Transformations
XFormer makes data transformations easy on your cognition and hassle-free.
Read complete docs here.
Features
- Provides an intuitive way to express transformation pipelines
- Supports a flexible palette of actions
- Provides 2 ways of describing an action: a string or JSON
Installation
npm i @muhammadkasim/xformer --save
Usage
With Xformer, you can execute a simple pipeline of actions by providing a list of action descriptions to the executePipe
method on the imported instance.
import X from '@muhammadkasim/xformer';
const mock_data = [{ a: 1 }, { a: 2 }, { b: 3 }];
X.executePipe(['mergeWithAdd', 'getAvg'], mock_data);
// Returns an object containing the result of executing the pipeline and the
// corresponding result of each step.
// {
// buffer: [
// { data: [{a: 1}, {a: 2}, {b: 3}], title: 'Original Data' },
// { data: {a: 3, b: 3}, title: 'mergeWithAdd' },
// { data: 3, title: 'getAvg' }
// ],
// result: 3
// }
An action can be described either as a string or JSON.
X.executePipe([{ name: 'pickByRegex', params: ['a'] }, 'getAvg'], mock_data); //=> 1.5
Xformer also provides a short hand for passing params when describing an action in string form.
X.executePipe(['pickByRegex(a)', 'getAvg'], mock_data); //=> 1.5
You can perform also perform multiple actions on the same data.
X.executePipe(
[
['pickFrom([0, "a"])', 'pickFrom([2, "b"])'], //=> [1, 3]
'getAvg'
],
mock_data
); //=> 2
If you need to pass some external values to assist execution of the pipe, you can do so like shown below.
X.executePipe(['mergeWithAdd', 'getRate($.interval)'], mock_data, { interval: 30 }); //=> {a: 0.1, b: 0.1}
You can also group and execute
multiple pipelines on the same data. This group of pipelines is called a query and can be a list of pipelines or a JSON structure where value in each key-value pair is a pipeline.
X.execute(
{
avg_by_key: ['mergeWithAdd', 'getAvg'],
rate_by_30: ['mergeWithAdd', 'getRate($.interval)']
},
mock_data
);
// Takes a query and data as input and executes all pipelines within the query, with
// each pipeline receiving the provided data.
// {
// avg_by_key: {
// buffer: [
// { data: [{a: 1}, {a: 2}, {b: 3}], title: 'Original Data' },
// { data: {a: 3, b: 3}, title: 'mergeWithAdd' },
// { data: 3, title: 'getAvg' }
// ],
// result: 3
// },
// rate_by_30: {
// buffer: [
// { data: [{a: 1}, {a: 2}, {b: 3}], title: 'Original Data' },
// { data: {a: 3, b: 3}, title: 'mergeWithAdd' },
// { data: {a: 0.1, b: 0.1}, title: 'getRate($.interval)' }
// ],
// result: {a: 0.1, b: 0.1}
// }
// }