(core) Use individual choices for filtering choice lists

Test Plan: Wrote unit and browser tests that verify new behavior.

Reviewers: paulfitz, dsagal

Reviewed By: dsagal

Subscribers: alexmojaki

Differential Revision: https://phab.getgrist.com/D2855
pull/9/head
George Gevoian 3 years ago
parent 5d3a4b5b5b
commit b94eb107d4

@ -24,7 +24,7 @@ export class ColumnFilter extends Disposable {
private _include: boolean;
private _values: Set<CellValue>;
constructor(private _initialFilterJson: string) {
constructor(private _initialFilterJson: string, private _columnType?: string) {
super();
this.setState(_initialFilterJson);
}
@ -85,7 +85,7 @@ export class ColumnFilter extends Disposable {
}
private _updateState(): void {
this.filterFunc.set(makeFilterFunc(this._getState()));
this.filterFunc.set(makeFilterFunc(this._getState(), this._columnType));
}
private _getState(): FilterState {

@ -36,7 +36,7 @@ export class SectionFilter extends Disposable {
const funcs: Array<RowFilterFunc<RowId> | null> = fields.map(f => {
const filterFunc = (openFilter && openFilter.fieldRef === f.getRowId()) ?
use(openFilter.colFilter.filterFunc) :
buildColFilter(use(f.activeFilter));
buildColFilter(use(f.activeFilter), use(f.column).type());
const getter = tableData.getRowPropFunc(use(f.colId));

@ -21,6 +21,8 @@ import identity = require('lodash/identity');
import noop = require('lodash/noop');
import {IOpenController, IPopupOptions, setPopupToCreateDom} from 'popweasel';
import {isEquivalentFilter} from "app/common/FilterState";
import {decodeObject} from 'app/plugin/objtypes';
import {isList} from 'app/common/gristTypes';
interface IFilterMenuOptions {
model: ColumnFilterMenuModel;
@ -261,20 +263,21 @@ function buildSummary(label: string, SummaryModelCtor: SummaryModelCreator, mode
export function createFilterMenu(openCtl: IOpenController, sectionFilter: SectionFilter, field: ViewFieldRec,
rowSource: FilteredRowSource, tableData: TableData, onClose: () => void = noop) {
// Go through all of our shown and hidden rows, and count them up by the values in this column.
const valueGetter = tableData.getRowPropFunc(field.column().colId())!;
const keyMapFunc = tableData.getRowPropFunc(field.column().colId())!;
const labelGetter = tableData.getRowPropFunc(field.displayColModel().colId())!;
const formatter = field.createVisibleColFormatter();
const valueMapFunc = (rowId: number) => formatter.formatAny(labelGetter(rowId));
const labelMapFunc = (rowId: number) => formatter.formatAny(labelGetter(rowId));
const activeFilterBar = field.viewSection.peek().activeFilterBar;
const columnType = field.column().type.peek();
const valueCounts: Map<CellValue, {label: string, count: number}> = new Map();
// TODO: as of now, this is not working for non text-or-numeric columns, ie: for Date column it is
// not possible to search for anything. Likely caused by the key being something completely
// different than the label.
addCountsToMap(valueCounts, rowSource.getAllRows() as Iterable<number>, valueGetter, valueMapFunc);
addCountsToMap(valueCounts, rowSource.getHiddenRows() as Iterable<number>, valueGetter, valueMapFunc);
addCountsToMap(valueCounts, rowSource.getAllRows() as Iterable<number>, { keyMapFunc, labelMapFunc, columnType });
addCountsToMap(valueCounts, rowSource.getHiddenRows() as Iterable<number>, { keyMapFunc, labelMapFunc, columnType });
const columnFilter = ColumnFilter.create(openCtl, field.activeFilter.peek());
const columnFilter = ColumnFilter.create(openCtl, field.activeFilter.peek(), columnType);
const model = ColumnFilterMenuModel.create(openCtl, columnFilter, Array.from(valueCounts));
sectionFilter.setFilterOverride(field.getRowId(), columnFilter); // Will be removed on menu disposal
@ -293,21 +296,51 @@ export function createFilterMenu(openCtl: IOpenController, sectionFilter: Sectio
});
}
interface ICountOptions {
keyMapFunc?: (v: any) => any;
labelMapFunc?: (v: any) => any;
columnType?: string;
}
/**
* For each value in Iterable, adds a key mapped with `keyMapFunc` and a value object with a `label` mapped
* For each row id in Iterable, adds a key mapped with `keyMapFunc` and a value object with a `label` mapped
* with `labelMapFunc` and a `count` representing the total number of times the key has been encountered.
*
* The optional column type controls how complex cell values are decomposed into keys (e.g. Choice Lists have
* the possible choices as keys).
*/
function addCountsToMap(valueMap: Map<CellValue, IFilterCount>, values: Iterable<CellValue>,
keyMapFunc: (v: any) => any = identity, labelMapFunc: (v: any) => any = identity) {
for (const v of values) {
let key = keyMapFunc(v);
function addCountsToMap(valueMap: Map<CellValue, IFilterCount>, rowIds: Iterable<Number>,
{ keyMapFunc = identity, labelMapFunc = identity, columnType }: ICountOptions) {
for (const rowId of rowIds) {
let key = keyMapFunc(rowId);
// If row contains a list and the column is a Choice List, treat each choice as a separate key
if (isList(key) && columnType === 'ChoiceList') {
const list = decodeObject(key);
addListCountsToMap(valueMap, list as unknown[]);
continue;
}
// For complex values, serialize the value to allow them to be properly stored
if (Array.isArray(key)) { key = JSON.stringify(key); }
if (valueMap.get(key)) {
valueMap.get(key)!.count++;
} else {
valueMap.set(key, { label: labelMapFunc(v), count: 1 });
valueMap.set(key, { label: labelMapFunc(rowId), count: 1 });
}
}
}
/**
* Adds each item in `list` to `valueMap`.
*/
function addListCountsToMap(valueMap: Map<CellValue, IFilterCount>, list: any[]) {
for (const item of list) {
if (valueMap.get(item)) {
valueMap.get(item)!.count++;
} else {
valueMap.set(item, { label: item, count: 1 });
}
}
}

@ -1,18 +1,29 @@
import { CellValue } from "app/common/DocActions";
import { FilterState, makeFilterState } from "app/common/FilterState";
import { decodeObject } from "app/plugin/objtypes";
import { isList } from "./gristTypes";
export type ColumnFilterFunc = (value: CellValue) => boolean;
// Returns a filter function for a particular column: the function takes a cell value and returns
// whether it's accepted according to the given FilterState.
export function makeFilterFunc({ include, values }: FilterState): ColumnFilterFunc {
export function makeFilterFunc({ include, values }: FilterState,
columnType?: string): ColumnFilterFunc {
// NOTE: This logic results in complex values and their stringified JSON representations as equivalent.
// For example, a TypeError in the formula column and the string '["E","TypeError"]' would be seen as the same.
// TODO: This narrow corner case seems acceptable for now, but may be worth revisiting.
return (val: CellValue) => (values.has(Array.isArray(val) ? JSON.stringify(val) : val) === include);
return (val: CellValue) => {
if (isList(val) && columnType === 'ChoiceList') {
const list = decodeObject(val) as unknown[];
return list.some(item => values.has(item as any) === include);
}
return (values.has(Array.isArray(val) ? JSON.stringify(val) : val) === include);
};
}
// Given a JSON string, returns a ColumnFilterFunc
export function buildColFilter(filterJson: string | undefined): ColumnFilterFunc | null {
return filterJson ? makeFilterFunc(makeFilterState(filterJson)) : null;
export function buildColFilter(filterJson: string | undefined,
columnType?: string): ColumnFilterFunc | null {
return filterJson ? makeFilterFunc(makeFilterState(filterJson), columnType) : null;
}

@ -136,12 +136,19 @@ export function isCensored(value: CellValue): value is [GristObjCode.Censored] {
return getObjCode(value) === GristObjCode.Censored;
}
/**
* Returns whether a value (as received in a DocAction) represents a list.
*/
export function isList(value: CellValue): value is [GristObjCode.List, ...unknown[]] {
return Array.isArray(value) && value[0] === GristObjCode.List;
}
/**
* Returns whether a value (as received in a DocAction) represents a list or is null,
* which is a valid value for list types in grist.
*/
export function isListOrNull(value: CellValue): boolean {
return value === null || (Array.isArray(value) && value[0] === GristObjCode.List);
return value === null || isList(value);
}
/**

@ -90,7 +90,7 @@ export async function makeCSV(
const displayCol = tableColsById[field.displayCol || col.displayCol || col.id];
const colWidgetOptions = gutil.safeJsonParse(col.widgetOptions, {});
const fieldWidgetOptions = gutil.safeJsonParse(field.widgetOptions, {});
const filterFunc = buildColFilter(filters.find(x => x.colRef === field.colRef)?.filter);
const filterFunc = buildColFilter(filters.find(x => x.colRef === field.colRef)?.filter, col.type);
return {
id: displayCol.id,
colId: displayCol.colId,

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