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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text/typescript
/**
* @module botbuilder-dialogs
*/
/**
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*/
import { Attachment } from 'botbuilder';
import { Dialog } from '../dialog';
import { DialogSet } from '../dialogSet';
import { PromptOptions, PromptValidator, formatPrompt } from './prompt';
/**
* Prompts a user to upload attachments like images. By default the prompt will return to the
* calling dialog a `Attachment[]` but this can be overridden using a custom `PromptValidator`.
*
* **Example usage:**
*
* ```JavaScript
* const { DialogSet, AttachmentPrompt } = require('botbuilder-dialogs');
*
* const dialogs = new DialogSet();
*
* dialogs.add('attachmentPrompt', new AttachmentPrompt());
*
* dialogs.add('uploadImage', [
* function (context) {
* return dialogs.prompt(context, 'attachmentPrompt', `Send me image(s)`);
* },
* function (context, attachments) {
* context.reply(`Processing ${attachments.length} images.`);
* return dialogs.end(context);
* }
* ]);
* ```
*/
export class AttachmentPrompt implements Dialog {
/**
* Creates a new instance of the prompt.
*
* **Example usage:**
*
* ```JavaScript
* dialogs.add('imagePrompt', new AttachmentPrompt((context, values) => {
* if (values.length < 1) {
* context.reply(`Send me an image or say 'cancel'.`);
* return Prompts.resolve();
* } else {
* return dialogs.end(context, values);
* }
* }));
* ```
* @param validator (Optional) validator that will be called each time the user responds to the prompt.
*/
constructor(private validator?: PromptValidator<Attachment[]>) {}
public begin(context: BotContext, dialogs: DialogSet, options: PromptOptions): Promise<void> {
// Persist options
const instance = dialogs.getInstance<PromptOptions>(context);
instance.state = options || {};
// Send initial prompt
if (instance.state.prompt) { context.reply(formatPrompt(instance.state.prompt, instance.state.speak)) }
return Promise.resolve();
}
public continue(context: BotContext, dialogs: DialogSet): Promise<void> {
// Recognize value
const options = dialogs.getInstance<PromptOptions>(context).state;
const values: Attachment[] = context.request && context.request.attachments ? context.request.attachments : [];
if (this.validator) {
// Call validator for further processing
return Promise.resolve(this.validator(context, values, dialogs));
} else if (values.length > 0) {
// Return recognized values
return dialogs.end(context, values);
} else {
if (options.retryPrompt) {
// Send retry prompt to user
context.reply(formatPrompt(options.retryPrompt, options.retrySpeak));
} else if (options.prompt) {
// Send original prompt to user
context.reply(formatPrompt(options.prompt, options.speak));
}
return Promise.resolve();
}
}
}