Added support for dotted key paths in Data table column

Summary:
This adds support for the key of DataTableColumn to be a dotted path into a nested object, e.g foo.bar. Currently the typescript types only allow a top level key to be set, making this feature currently unusuable from plugin code.

While this could be addressed in a future commit the intention of this is to allow the user to add custom fields into their table columns at run time

Note there is a side effect to free text search from this commit. Previously it would search all top keys in the object. Now it will only search in columns that are in the table.

changelog: Searching data table will now only search columns in the table, rather than all top level attributes of the object

Reviewed By: mweststrate

Differential Revision: D36663929

fbshipit-source-id: 3688e9f26aa7e1828f8e9ee69f8e6f86268c8a54
This commit is contained in:
Luke De Feo
2022-05-30 04:37:25 -07:00
committed by Facebook GitHub Bot
parent 8c4b494d32
commit e07d5c5bfe
5 changed files with 152 additions and 63 deletions

View File

@@ -94,6 +94,7 @@ type DataTableInput<T = any> =
};
export type DataTableColumn<T = any> = {
//this can be a dotted path into a nest objects. e.g foo.bar
key: keyof T & string;
// possible future extension: getValue(row) (and free-form key) to support computed columns
onRender?: (row: T, selected: boolean, index: number) => React.ReactNode;

View File

@@ -250,7 +250,7 @@ export const dataTableManagerReducer = produce<
addColumnFilter(
draft.columns,
action.column,
(item as any)[action.column],
getValueAtPath(item, String(action.column)),
index === 0, // remove existing filters before adding the first
);
});
@@ -541,6 +541,25 @@ function computeInitialColumns(
}));
}
/**
* A somewhat primitive and unsafe way to access nested fields an object.
* @param obj keys should only be strings
* @param keyPath dotted string path, e.g foo.bar
* @returns value at the key path
*/
export function getValueAtPath(obj: any, keyPath: string): any {
let res = obj;
for (const key of keyPath.split('.')) {
if (res == null) {
return null;
} else {
res = res[key];
}
}
return res;
}
export function computeDataTableFilter(
searchValue: string,
useRegex: boolean,
@@ -563,7 +582,10 @@ export function computeDataTableFilter(
for (const column of filteringColumns) {
const rowMatchesFilter = column.filters!.some(
(f) =>
f.enabled && String(item[column.key]).toLowerCase().includes(f.value),
f.enabled &&
String(getValueAtPath(item, column.key))
.toLowerCase()
.includes(f.value),
);
if (column.inversed && rowMatchesFilter) {
return false;
@@ -572,7 +594,10 @@ export function computeDataTableFilter(
return false;
}
}
return Object.values(item).some((v) =>
return columns
.map((c) => getValueAtPath(item, c.key))
.some((v) =>
searchRegex
? searchRegex.test(String(v))
: String(v).toLowerCase().includes(searchString),

View File

@@ -13,6 +13,7 @@ import {
DataTableDispatch,
getSelectedItem,
getSelectedItems,
getValueAtPath,
Selection,
} from './DataTableManager';
import React from 'react';
@@ -136,7 +137,9 @@ export function tableContextMenuFactory<T>(
const items = getSelectedItems(datasource, selection);
if (items.length) {
lib.writeTextToClipboard(
items.map((item) => '' + item[column.key]).join('\n'),
items
.map((item) => '' + getValueAtPath(item, column.key))
.join('\n'),
);
}
}}>

View File

@@ -15,6 +15,7 @@ import {Width} from '../../utils/widthUtils';
import {DataFormatter} from '../DataFormatter';
import {Dropdown} from 'antd';
import {contextMenuTrigger} from '../data-inspector/DataInspectorNode';
import {getValueAtPath} from './DataTableManager';
// heuristic for row estimation, should match any future styling updates
export const DEFAULT_ROW_HEIGHT = 24;
@@ -159,5 +160,5 @@ export function renderColumnValue<T>(
) {
return col.onRender
? col.onRender(record, highlighted, itemIndex)
: DataFormatter.format((record as any)[col.key], col.formatters);
: DataFormatter.format(getValueAtPath(record, col.key), col.formatters);
}

View File

@@ -285,15 +285,26 @@ test('search', async () => {
});
test('compute filters', () => {
const levelCol = {key: 'level'};
const titleCol = {key: 'title'};
const doneCol = {key: 'done'};
const baseColumns = [levelCol, titleCol, doneCol];
const coffee = {
level: 'info',
title: 'Drink coffee',
done: true,
extras: {
comment: 'tasty',
},
};
const espresso = {
level: 'info',
title: 'Make espresso',
done: false,
extras: {
comment: 'dull',
},
};
const meet = {
level: 'error',
@@ -320,52 +331,64 @@ test('compute filters', () => {
).toBeUndefined();
{
const filter = computeDataTableFilter('tEsT', false, [])!;
const filter = computeDataTableFilter('tEsT', false, baseColumns)!;
expect(data.filter(filter)).toEqual([]);
}
{
const filter = computeDataTableFilter('EE', false, [])!;
const filter = computeDataTableFilter('EE', false, baseColumns)!;
expect(data.filter(filter)).toEqual([coffee, meet]);
}
{
const filter = computeDataTableFilter('D', false, [])!;
const filter = computeDataTableFilter('D', false, baseColumns)!;
expect(data.filter(filter)).toEqual([coffee]);
}
const commentCol = {key: 'extras.comment'};
{
// free search on value tasty in nested column
const filter = computeDataTableFilter('tasty', false, [
...baseColumns,
commentCol,
])!;
expect(data.filter(filter)).toEqual([coffee]);
}
{
// regex, positive (mind the double escaping of \\b)
const filter = computeDataTableFilter('..t', true, [])!;
const filter = computeDataTableFilter('..t', true, baseColumns)!;
expect(data.filter(filter)).toEqual([meet]);
}
{
// regex, words with 6 chars
const filter = computeDataTableFilter('\\w{6}', true, [])!;
const filter = computeDataTableFilter('\\w{6}', true, baseColumns)!;
expect(data.filter(filter)).toEqual([coffee, espresso]);
}
{
// no match
const filter = computeDataTableFilter('\\w{18}', true, [])!;
const filter = computeDataTableFilter('\\w{18}', true, baseColumns)!;
expect(data.filter(filter)).toEqual([]);
}
{
// invalid regex
const filter = computeDataTableFilter('bla/[', true, [])!;
const filter = computeDataTableFilter('bla/[', true, baseColumns)!;
expect(data.filter(filter)).toEqual([]);
}
{
const filter = computeDataTableFilter('true', false, [])!;
const filter = computeDataTableFilter('true', false, baseColumns)!;
expect(data.filter(filter)).toEqual([coffee]);
}
{
const filter = computeDataTableFilter('false', false, [])!;
const filter = computeDataTableFilter('false', false, baseColumns)!;
expect(data.filter(filter)).toEqual([espresso, meet]);
}
{
const filter = computeDataTableFilter('EE', false, [
levelCol,
titleCol,
{
key: 'level',
filters: [
@@ -381,6 +404,8 @@ test('compute filters', () => {
}
{
const filter = computeDataTableFilter('EE', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -401,6 +426,8 @@ test('compute filters', () => {
}
{
const filter = computeDataTableFilter('', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -421,6 +448,8 @@ test('compute filters', () => {
}
{
const filter = computeDataTableFilter('', false, [
levelCol,
titleCol,
{
key: 'done',
filters: [
@@ -437,6 +466,8 @@ test('compute filters', () => {
{
// nothing selected anything will not filter anything out for that column
const filter = computeDataTableFilter('', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -455,8 +486,30 @@ test('compute filters', () => {
])!;
expect(filter).toBeUndefined();
}
{
//nested filter on comment
const filter = computeDataTableFilter('', false, [
...baseColumns,
{
key: 'extras.comment',
filters: [
{
enabled: true,
value: 'dull',
label: 'dull',
},
],
},
])!;
expect(data.filter(filter)).toEqual([espresso]);
}
{
//filter 'level' on values info and error which will match all records
const filter = computeDataTableFilter('', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -477,6 +530,7 @@ test('compute filters', () => {
}
{
const filter = computeDataTableFilter('', false, [
titleCol,
{
key: 'level',
filters: [
@@ -503,6 +557,8 @@ test('compute filters', () => {
{
// inverse filter
const filter = computeDataTableFilter('', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -520,6 +576,8 @@ test('compute filters', () => {
{
// inverse filter with search
const filter = computeDataTableFilter('coffee', false, [
doneCol,
titleCol,
{
key: 'level',
filters: [
@@ -536,6 +594,7 @@ test('compute filters', () => {
}
{
const filter = computeDataTableFilter('nonsense', false, [
titleCol,
{
key: 'level',
filters: [