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Alexander Rose authoredAlexander Rose authored
field-classifier.ts 1.30 KiB
/**
* Copyright (c) 2017 mol* contributors, licensed under MIT, See LICENSE file for more info.
*
* @author David Sehnal <david.sehnal@gmail.com>
*/
import { Column } from 'mol-data/db'
import { Field } from 'mol-io/reader/cif/data-model'
import { FieldDefinition, FieldType } from 'mol-io/writer/cif/encoder'
const intRegex = /^-?\d+$/
const floatRegex = /^-?(([0-9]+)[.]?|([0-9]*[.][0-9]+))([(][0-9]+[)])?([eE][+-]?[0-9]+)?/
// Classify a cif field as str, int or float based the data it contains.
// To classify a field as int or float all items are checked.
function classify(name: string, field: Field): FieldDefinition {
let floatCount = 0, hasString = false;
for (let i = 0, _i = field.rowCount; i < _i; i++) {
const k = field.valueKind(i);
if (k !== Column.ValueKind.Present) continue;
const v = field.str(i);
if (intRegex.test(v)) continue;
else if (floatRegex.test(v)) floatCount++;
else { hasString = true; break; }
}
if (hasString) return { name, type: FieldType.Str, value: field.str, valueKind: field.valueKind };
if (floatCount > 0) return { name, type: FieldType.Float, value: field.float, valueKind: field.valueKind };
return { name, type: FieldType.Int, value: field.int, valueKind: field.valueKind };
}
export default classify;