/*****************************************************************************\
|                                               ( )_  _                       |
|    _ _    _ __   _ _    __    ___ ___     _ _ | ,_)(_)  ___   ___     _     |
|   ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| |  | |/',__)/' _ `\ /'_`\   |
|   | (_) )| |  ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) )  |
|   | ,__/'(_)  `\__,_)`\__  |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/'  |
|   | |                ( )_) |                                                |
|   (_)                 \___/'                                                |
|                                                                             |
| General Bots Copyright (c) Pragmatismo.io. All rights reserved.             |
| Licensed under the AGPL-3.0.                                                |
|                                                                             |
| According to our dual licensing model, this program can be used either      |
| under the terms of the GNU Affero General Public License, version 3,        |
| or under a proprietary license.                                             |
|                                                                             |
| The texts of the GNU Affero General Public License with an additional       |
| permission and of our proprietary license can be found at and               |
| in the LICENSE file you have received along with this program.              |
|                                                                             |
| This program is distributed in the hope that it will be useful,             |
| but WITHOUT ANY WARRANTY, without even the implied warranty of              |
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the                |
| GNU Affero General Public License for more details.                         |
|                                                                             |
| "General Bots" is a registered trademark of Pragmatismo.io.                 |
| The licensing of the program under the AGPLv3 does not imply a              |
| trademark license. Therefore any rights, title and interest in              |
| our trademarks remain entirely with us.                                     |
|                                                                             |
\*****************************************************************************/

/**
 * @fileoverview General Bots server core.
 */

'use strict';

import { BotAdapter } from 'botbuilder';
import { WaterfallDialog } from 'botbuilder-dialogs';
import { IGBDialog } from 'botlib';
import { GBMinInstance } from 'botlib';
import { AzureText } from 'pragmatismo-io-framework';
import { Messages } from '../strings';
import { KBService } from './../services/KBService';

const logger = require('../../../src/logger');

export class AskDialog extends IGBDialog {
  /**
   * Setup dialogs flows and define services call.
   *
   * @param bot The bot adapter.
   * @param min The minimal bot instance data.
   */
  public static setup(bot: BotAdapter, min: GBMinInstance) {
    const service = new KBService(min.core.sequelize);

    min.dialogs.add(
      new WaterfallDialog('/answerEvent', [
        async step => {
          if (step.options && step.options['questionId']) {
            const question = await service.getQuestionById(min.instance.instanceId, step.options['questionId']);
            const answer = await service.getAnswerById(min.instance.instanceId, question.answerId);

            // Sends the answer to all outputs, including projector.

            await service.sendAnswer(min.conversationalService, step, answer);

            await step.replaceDialog('/ask', { isReturning: true });
          }
          return await step.next();
        }
      ])
    );

    min.dialogs.add(
      new WaterfallDialog('/answer', [
        async step => {
          const user = await min.userProfile.get(step.context, {});
          let text = step.options['query'];
          if (!text) {
            throw new Error(`/answer being called with no args query text.`);
          }

          const locale = step.context.activity.locale;

          // Stops any content on projector.

          await min.conversationalService.sendEvent(step, 'stop', null);

          // Handle extra text from FAQ.

          if (step.options && step.options['query']) {
            text = step.options['query'];
          } else if (step.options && step.options['fromFaq']) {
            await step.context.sendActivity(Messages[locale].going_answer);
          }

          // Spells check the input text before sending Search or NLP.

          if (min.instance.spellcheckerKey) {
            const data = await AzureText.getSpelledText(min.instance.spellcheckerKey, text);

            if (data != text) {
              logger.info(`Spelling corrected: ${data}`);
              text = data;
            }
          }

          // Searches KB for the first time.

          user.lastQuestion = text;
          await min.userProfile.set(step.context, user);
          const resultsA = await service.ask(min.instance, text, min.instance.searchScore, user.subjects);

          // If there is some result, answer immediately.

          if (resultsA && resultsA.answer) {
            // Saves some context info.

            user.isAsking = false;
            user.lastQuestionId = resultsA.questionId;
            await min.userProfile.set(step.context, user);

            // Sends the answer to all outputs, including projector.

            await service.sendAnswer(min.conversationalService, step, resultsA.answer);

            // Goes to ask loop, again.

            return await step.replaceDialog('/ask', { isReturning: true });
          } else {
            // Second time running Search, now with no filter.

            const resultsB = await service.ask(min.instance, text, min.instance.searchScore, null);

            // If there is some result, answer immediately.

            if (resultsB && resultsB.answer) {
              // Saves some context info.

              const user = await min.userProfile.get(step.context, {});
              user.isAsking = false;
              user.lastQuestionId = resultsB.questionId;
              await min.userProfile.set(step.context, user);

              // Informs user that a broader search will be used.

              if (user.subjects.length > 0) {
                const subjectText = `${KBService.getSubjectItemsSeparatedBySpaces(user.subjects)}`;
                await step.context.sendActivity(Messages[locale].wider_answer);
              }

              // Sends the answer to all outputs, including projector.

              await service.sendAnswer(min.conversationalService, step, resultsB.answer);
              return await step.replaceDialog('/ask', { isReturning: true });
            } else {
              if (!(await min.conversationalService.routeNLP(step, min, text))) {
                await step.context.sendActivity(Messages[locale].did_not_find);
                return await step.replaceDialog('/ask', { isReturning: true });
              }
            }
          }
        }
      ])
    );

    min.dialogs.add(
      new WaterfallDialog('/ask', [
        async step => {
          const locale = step.context.activity.locale;
          const user = await min.userProfile.get(step.context, {});
          user.isAsking = true;
          if (!user.subjects) {
            user.subjects = [];
          }
          let text;

          // Three forms of asking.

          if (step.options && step.options['firstTime']) {
            text = Messages[locale].ask_first_time;
          } else if (step.options && step.options['isReturning']) {
            text = Messages[locale].anything_else;
          } else if (user.subjects.length > 0) {
            text = Messages[locale].which_question;
          } else {
            throw new Error('Invalid use of /ask');
          }

          if (text.length > 0) {
            return await step.prompt('textPrompt', text);
          }
          return await step.next();
        },
        async step => {
          if (step.result) {
            return await step.replaceDialog('/answer', { query: step.result });
          } else {
            return await step.next();
          }
        }
      ])
    );
  }
}