Function loadDataArray

packages/sanddance-explorer/src/dataLoader.ts:52–91

(data: object[], type: DataFileType)

});

export const loadDataArray = (data: object[], type: DataFileType) => new Promise<DataContent>((resolve, reject) => {
    const parse = type === 'csv' || type === 'tsv';
    if (parse) {
        //convert empty strings to null so that vega.inferType will get dates
        data.forEach(row => {
            for (const column in row) {
                if (row[column] === '') {
                    row[column] = null;
                }
            }
        });
    }
    const columns = SandDance.util.
        getColumnsFromData(SandDance.VegaDeckGl.base.vega.inferTypes, data)
        .filter(c => c.name && c.name.trim())
        .sort((a, b) => a.name.localeCompare(b.name));
    if (parse) {
        const booleanColumns = columns.filter(c => c.type === 'boolean');
        const dateColumns = columns.filter(c => c.type === 'date');
        const numericColumns = columns.filter(c => c.type === 'integer' || c.type === 'number');
        data.forEach(obj => {
            booleanColumns.forEach(c => {
                obj[c.name] = ('' + obj[c.name]).toLowerCase() === 'true';
            });
            dateColumns.forEach(c => {
                const input = obj[c.name];
                if (input !== null) {
                    const d = new Date(input) as DateWithSource;
                    d.input = input;
                    obj[c.name] = d;
                }
            });
            numericColumns.forEach(c => {
                const n = parseFloat(obj[c.name]);
                obj[c.name] = isNaN(n) ? null : n;
            });
        });
    }
    resolve({ data, columns });
});