import {CellValue} from "app/common/DocActions"; import {FilterState, isRangeFilter, makeFilterState} from "app/common/FilterState"; import {decodeObject} from "app/plugin/objtypes"; import {isList, isListType, isNumberType} 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(state: FilterState, columnType?: string): ColumnFilterFunc { if (isRangeFilter(state)) { const {min, max} = state; if (isNumberType(columnType)) { return (val) => { if (typeof val !== 'number') { return false; } return ( (max === undefined ? true : val <= max) && (min === undefined ? true : min <= val) ); }; } else { // Although it is not possible to set a range filter for non numeric columns, this still can // happen as a result of a column type conversion. In this case, let's include all values. return () => true; } } const {include, values} = state; // 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) => { if (isList(val) && columnType && isListType(columnType)) { 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, columnType?: string): ColumnFilterFunc | null { return filterJson ? makeFilterFunc(makeFilterState(filterJson), columnType) : null; }