technopark-scraper/node_modules/json2csv/lib/JSON2CSVBase.js

'use strict';

const os = require('os');
const lodashGet = require('lodash.get');
const { getProp } = require('./utils');
const defaultFormatter = require('./formatters/default');
const numberFormatterCtor = require('./formatters/number')
const stringFormatterCtor = require('./formatters/string');
const symbolFormatterCtor = require('./formatters/symbol');
const objectFormatterCtor = require('./formatters/object');

class JSON2CSVBase {
  constructor(opts) {
    this.opts = this.preprocessOpts(opts);
  }

  /**
   * Check passing opts and set defaults.
   *
   * @param {Json2CsvOptions} opts Options object containing fields,
   * delimiter, default value, quote mark, header, etc.
   */
  preprocessOpts(opts) {
    const processedOpts = Object.assign({}, opts);

    if (processedOpts.fields) {
      processedOpts.fields = this.preprocessFieldsInfo(processedOpts.fields, processedOpts.defaultValue);
    }

    processedOpts.transforms = processedOpts.transforms || [];

    const stringFormatter = (processedOpts.formatters && processedOpts.formatters['string']) || stringFormatterCtor();
    const objectFormatter = objectFormatterCtor({ stringFormatter });    
    const defaultFormatters = {
      header: stringFormatter,
      undefined: defaultFormatter,
      boolean: defaultFormatter,
      number: numberFormatterCtor(),
      bigint: defaultFormatter,
      string: stringFormatter,
      symbol: symbolFormatterCtor({ stringFormatter }),
      function: objectFormatter,
      object: objectFormatter
    };

    processedOpts.formatters = {
      ...defaultFormatters,
      ...processedOpts.formatters,
    };

    processedOpts.delimiter = processedOpts.delimiter || ',';
    processedOpts.eol = processedOpts.eol || os.EOL;
    processedOpts.header = processedOpts.header !== false;
    processedOpts.includeEmptyRows = processedOpts.includeEmptyRows || false;
    processedOpts.withBOM = processedOpts.withBOM || false;

    return processedOpts;
  }

  /**
   * Check and normalize the fields configuration.
   *
   * @param {(string|object)[]} fields Fields configuration provided by the user
   * or inferred from the data
   * @returns {object[]} preprocessed FieldsInfo array
   */
  preprocessFieldsInfo(fields, globalDefaultValue) {
    return fields.map((fieldInfo) => {
      if (typeof fieldInfo === 'string') {
        return {
          label: fieldInfo,
          value: (fieldInfo.includes('.') || fieldInfo.includes('['))
            ? row => lodashGet(row, fieldInfo, globalDefaultValue)
            : row => getProp(row, fieldInfo, globalDefaultValue),
        };
      }

      if (typeof fieldInfo === 'object') {
        const defaultValue = 'default' in fieldInfo
          ? fieldInfo.default
          : globalDefaultValue;

        if (typeof fieldInfo.value === 'string') {
          return {
            label: fieldInfo.label || fieldInfo.value,
            value: (fieldInfo.value.includes('.') || fieldInfo.value.includes('['))
              ? row => lodashGet(row, fieldInfo.value, defaultValue)
              : row => getProp(row, fieldInfo.value, defaultValue),
          };
        }

        if (typeof fieldInfo.value === 'function') {
          const label = fieldInfo.label || fieldInfo.value.name || '';
          const field = { label, default: defaultValue };
          return {
            label,
            value(row) {
              const value = fieldInfo.value(row, field);
              return (value === null || value === undefined)
                ? defaultValue
                : value;
            },
          }
        }
      }

      throw new Error('Invalid field info option. ' + JSON.stringify(fieldInfo));
    });
  }

  /**
   * Create the title row with all the provided fields as column headings
   *
   * @returns {String} titles as a string
   */
  getHeader(fields) {
    return fields
      .map(fieldInfo => this.opts.formatters.header(fieldInfo.label))
      .join(this.opts.delimiter);
  }

  /**
   * Preprocess each object according to the given transforms (unwind, flatten, etc.).
   * @param {Object} row JSON object to be converted in a CSV row
   */
  preprocessRow(row) {
    return this.opts.transforms.reduce((rows, transform) =>
      rows.flatMap(row => transform(row)),
      [row]
    );
  }

  /**
   * Create the content of a specific CSV row
   *
   * @param {Object} row JSON object to be converted in a CSV row
   * @returns {String} CSV string (row)
   */
  processRow(row, fields) {
    if (!row) {
      return undefined;
    }

    const processedRow = fields.map(fieldInfo => this.processCell(row, fieldInfo));

    if (!this.opts.includeEmptyRows && processedRow.every(field => field === '')) {
      return undefined;
    }

    return processedRow.join(this.opts.delimiter);
  }

  /**
   * Create the content of a specfic CSV row cell
   *
   * @param {Object} row JSON object representing the  CSV row that the cell belongs to
   * @param {FieldInfo} fieldInfo Details of the field to process to be a CSV cell
   * @returns {String} CSV string (cell)
   */
  processCell(row, fieldInfo) {
    return this.processValue(fieldInfo.value(row));
  }

  /**
   * Create the content of a specfic CSV row cell
   *
   * @param {Any} value Value to be included in a CSV cell
   * @returns {String} Value stringified and processed
   */
  processValue(value) {
    return this.opts.formatters[typeof value](value);
  }
}

module.exports = JSON2CSVBase;