n8n/packages/nodes-base/utils/utilities.ts
2023-01-24 12:32:31 +02:00

74 lines
1.6 KiB
TypeScript

import { IDisplayOptions, INodeProperties } from 'n8n-workflow';
import { merge } from 'lodash';
/**
* Creates an array of elements split into groups the length of `size`.
* If `array` can't be split evenly, the final chunk will be the remaining
* elements.
*
* @param {Array} array The array to process.
* @param {number} [size=1] The length of each chunk
* @example
*
* chunk(['a', 'b', 'c', 'd'], 2)
* // => [['a', 'b'], ['c', 'd']]
*
* chunk(['a', 'b', 'c', 'd'], 3)
* // => [['a', 'b', 'c'], ['d']]
*/
export function chunk(array: any[], size = 1) {
const length = array == null ? 0 : array.length;
if (!length || size < 1) {
return [];
}
let index = 0;
let resIndex = 0;
const result = new Array(Math.ceil(length / size));
while (index < length) {
result[resIndex++] = array.slice(index, (index += size));
}
return result;
}
/**
* Takes a multidimensional array and converts it to a one-dimensional array.
*
* @param {Array} nestedArray The array to be flattened.
* @example
*
* flatten([['a', 'b'], ['c', 'd']])
* // => ['a', 'b', 'c', 'd']
*
*/
export function flatten(nestedArray: any[][]) {
const result = [];
(function loop(array: any[]) {
for (let i = 0; i < array.length; i++) {
if (Array.isArray(array[i])) {
loop(array[i]);
} else {
result.push(array[i]);
}
}
})(nestedArray);
return result;
}
export function updateDisplayOptions(
displayOptions: IDisplayOptions,
properties: INodeProperties[],
) {
return properties.map((nodeProperty) => {
return {
...nodeProperty,
displayOptions: merge({}, nodeProperty.displayOptions, displayOptions),
};
});
}