type2docfx
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A tool to convert json format output from TypeDoc to universal reference model for DocFx to consume.
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JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const internal_1 = require("./internal");
const Recognizers = require("@microsoft/recognizers-text-number");
/**
* :package: **botbuilder-prompts**
*
* Creates a new prompt that asks the user to reply with a number.
*
* **Usage Example:**
*
* ```JavaScript
* const { createNumberPrompt } = require('botbuilder-prompts');
*
* const agePrompt = createNumberPrompt(async (context, value) => {
* if (typeof value == 'number') {
* if (value >= 1 && value < 111) {
* // Return age rounded down to nearest whole number.
* return Math.floor(value);
* }
* }
* await agePrompt.prompt(context, `Please enter a number between 1 and 110 or say "cancel".`);
* return undefined;
* });
* ```
* @param O (Optional) type of result returned by the `recognize()` method. This defaults to `number` but can be changed by the prompts custom validator.
* @param validator (Optional) validator for providing additional validation logic or customizing the prompt sent to the user when invalid.
* @param defaultLocale (Optional) locale to use if `context.activity.locale` not specified. Defaults to a value of `en-us`.
*/
function createNumberPrompt(validator, defaultLocale) {
return {
prompt: function prompt(context, prompt, speak) {
return internal_1.sendPrompt(context, prompt, speak);
},
recognize: function recognize(context) {
const request = context.activity || {};
const utterance = request.text || '';
const locale = request.locale || defaultLocale || 'en-us';
const results = Recognizers.recognizeNumber(utterance, locale);
const value = results.length > 0 && results[0].resolution ? parseFloat(results[0].resolution.value) : undefined;
return Promise.resolve(validator ? validator(context, value) : value);
}
};
}
exports.createNumberPrompt = createNumberPrompt;
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