recipe-ingredient-parser-v3/lib/petra/petra-convert.js

Natural language parser for recipes and ingredient lists, incl. combining ingredients

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.petraPostprocessing = exports.petraPreprocessing = void 0;
var petra_keywords_1 = require("./petra-keywords");
/**
 * Process a product string by “underscoring” a product name (a keyword)
 * when needed. In our domain the product name might include a number.
 *
 * In particular, consider these two cases:
 *
 *   1. "Farina Petra 10 g"
 *      → No change because the only number ("10") belongs to the quantity.
 *
 *   2. "Farina Petra 10 10 g"
 *      → The first "10" is meant to be part of the name.
 *         The function returns "Farina_Petra_10 10 g".
 *
 * If no quantity is detected at the end, the function falls back on
 * replacing any found keyword (from a predefined list) with its underscored version,
 * without changing the order of the words.
 *
 * @param str The input product string.
 * @param units An array of valid unit strings (e.g. ["g", "kg", "ml", "l"]).
 * @returns The processed string.
 */
function petraPreprocessing(str, units, _keywords) {
    // Get keywords list
    var keywords = _keywords || petra_keywords_1.getPetraKeywords();
    units;
    str = str.trim().replace(/^(-)/, "").toLowerCase();
    // Replace any matching keyword with its underscored version
    for (var _i = 0, keywords_1 = keywords; _i < keywords_1.length; _i++) {
        var keyword = keywords_1[_i];
        if (str.includes(keyword)) {
            str = str.replace(keyword, keyword.replace(/ /g, "_"));
            break;
        }
    }
    return str;
}
exports.petraPreprocessing = petraPreprocessing;
function petraPostprocessing(str) {
    return str.replace(/_/g, " ");
}
exports.petraPostprocessing = petraPostprocessing;
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