botbuilder-dialogs/lib/prompts/promptCultureModels.js

A dialog stack based conversation manager for Microsoft BotBuilder.

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.PromptCultureModels = void 0;
const recognizers_text_suite_1 = require("@microsoft/recognizers-text-suite");
/**
 * Class container for currently-supported Culture Models in Confirm and Choice Prompt.
 */
class PromptCultureModels {
    /**
     * @private
     */
    static getSupportedCultureCodes() {
        return this.getSupportedCultures().map((c) => c.locale);
    }
    /**
     * Use Recognizers-Text to normalize various potential Locale strings to a standard.
     *
     * @remarks This is mostly a copy/paste from https://github.com/microsoft/Recognizers-Text/blob/master/JavaScript/packages/recognizers-text/src/culture.ts#L39
     *          This doesn't directly use Recognizers-Text's MapToNearestLanguage because if they add language support before we do, it will break our prompts.
     * @param cultureCode Represents locale. Examples: "en-US, en-us, EN".
     * @returns Normalized locale.
     */
    static mapToNearestLanguage(cultureCode) {
        if (cultureCode) {
            cultureCode = cultureCode.toLowerCase();
            const supportedCultureCodes = this.getSupportedCultureCodes();
            if (supportedCultureCodes.indexOf(cultureCode) < 0) {
                const culturePrefix = cultureCode.split('-')[0].trim();
                supportedCultureCodes.forEach(function (supportedCultureCode) {
                    if (supportedCultureCode.startsWith(culturePrefix)) {
                        cultureCode = supportedCultureCode;
                    }
                });
            }
        }
        return cultureCode;
    }
}
exports.PromptCultureModels = PromptCultureModels;
PromptCultureModels.Chinese = {
    locale: recognizers_text_suite_1.Culture.Chinese,
    separator: ', ',
    inlineOr: ' 要么 ',
    inlineOrMore: '， 要么 ',
    yesInLanguage: '是的',
    noInLanguage: '不',
};
PromptCultureModels.Dutch = {
    locale: recognizers_text_suite_1.Culture.Dutch,
    separator: ', ',
    inlineOr: ' of ',
    inlineOrMore: ', of ',
    yesInLanguage: 'Ja',
    noInLanguage: 'Nee',
};
PromptCultureModels.English = {
    locale: recognizers_text_suite_1.Culture.English,
    separator: ', ',
    inlineOr: ' or ',
    inlineOrMore: ', or ',
    yesInLanguage: 'Yes',
    noInLanguage: 'No',
};
PromptCultureModels.French = {
    locale: recognizers_text_suite_1.Culture.French,
    separator: ', ',
    inlineOr: ' ou ',
    inlineOrMore: ', ou ',
    yesInLanguage: 'Oui',
    noInLanguage: 'Non',
};
PromptCultureModels.German = {
    locale: recognizers_text_suite_1.Culture.German,
    separator: ', ',
    inlineOr: ' oder ',
    inlineOrMore: ', oder ',
    yesInLanguage: 'Ja',
    noInLanguage: 'Nein',
};
PromptCultureModels.Italian = {
    locale: recognizers_text_suite_1.Culture.Italian,
    separator: ', ',
    inlineOr: ' o ',
    inlineOrMore: ' o ',
    yesInLanguage: 'Si',
    noInLanguage: 'No',
};
PromptCultureModels.Japanese = {
    locale: recognizers_text_suite_1.Culture.Japanese,
    separator: '、 ',
    inlineOr: ' または ',
    inlineOrMore: '、 または ',
    yesInLanguage: 'はい',
    noInLanguage: 'いいえ',
};
PromptCultureModels.Portuguese = {
    locale: recognizers_text_suite_1.Culture.Portuguese,
    separator: ', ',
    inlineOr: ' ou ',
    inlineOrMore: ', ou ',
    yesInLanguage: 'Sim',
    noInLanguage: 'Não',
};
PromptCultureModels.Spanish = {
    locale: recognizers_text_suite_1.Culture.Spanish,
    separator: ', ',
    inlineOr: ' o ',
    inlineOrMore: ', o ',
    yesInLanguage: 'Sí',
    noInLanguage: 'No',
};
PromptCultureModels.getSupportedCultures = () => [
    PromptCultureModels.Chinese,
    PromptCultureModels.Dutch,
    PromptCultureModels.English,
    PromptCultureModels.French,
    PromptCultureModels.German,
    PromptCultureModels.Italian,
    PromptCultureModels.Japanese,
    PromptCultureModels.Portuguese,
    PromptCultureModels.Spanish,
];
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