botserver/packages/customer-satisfaction.gbapp/dialogs/FeedbackDialog.ts
2022-12-26 13:37:11 -03:00

299 lines
12 KiB
TypeScript

/*****************************************************************************\
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| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
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| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
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| |
| 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 |
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\*****************************************************************************/
/**
* @fileoverview General Bots server core.
*/
'use strict';
import { BotAdapter } from 'botbuilder';
import { WaterfallDialog } from 'botbuilder-dialogs';
import { GBMinInstance, IGBDialog } from 'botlib';
import { GBMinService } from '../../core.gbapp/services/GBMinService.js';
import { AnalyticsService } from '../../analytics.gblib/services/AnalyticsService.js';
import { SecService } from '../../security.gbapp/services/SecService.js';
import { CSService } from '../services/CSService.js';
import { Messages } from '../strings.js';
/**
* Dialog for feedback collecting.
*/
export class FeedbackDialog 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 CSService();
min.dialogs.add(
new WaterfallDialog('/pleaseNoBadWords', [
async step => {
const locale = step.context.activity.locale;
await min.conversationalService.sendText(min, step, Messages[locale].please_no_bad_words);
return await step.next();
}
])
);
min.dialogs.add(
new WaterfallDialog('/t', [
async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
} else {
return await step.next(step.options);
}
},
async step => {
const locale = step.context.activity.locale;
const sec = new SecService();
let from = GBMinService.userMobile(step);
const profile = await min.userProfile.get(step.context, {});
const args = step.activeDialog.state.options;
// Transfer to...
if (args && args.to) {
// An user from Teams willing to transfer to a WhatsApp user.
await sec.ensureUser(min.instance.instanceId, args.to, 'Name', '', 'whatsapp', 'Name', null);
await sec.assignHumanAgent(min, args.to, profile.systemUser.userSystemId);
await min.conversationalService.sendText(
min,
step,
Messages[locale].notify_agent_transfer_done(min.instance.botId)
);
} else {
await min.conversationalService.sendText(min, step, Messages[locale].please_wait_transfering);
const agentSystemId = await sec.assignHumanAgent(min, from);
profile.systemUser = await sec.getUserFromAgentSystemId(agentSystemId);
await min.userProfile.set(step.context, profile);
if (agentSystemId.charAt(2) === ':' || agentSystemId.indexOf('@') > -1) {
// Agent is from Teams or Google Chat.
const agent = await sec.getUserFromSystemId(agentSystemId);
await min.conversationalService['sendOnConversation'](
min,
agent,
Messages[locale].notify_agent(step.context.activity.from.name)
);
} else {
await min.whatsAppDirectLine.sendToDevice(
agentSystemId,
Messages[locale].notify_agent(step.context.activity.from.name)
);
}
}
return await step.next();
}
])
);
min.dialogs.add(
new WaterfallDialog('/qt', [
async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
} else {
return await step.next(step.options);
}
},
async step => {
const locale = step.context.activity.locale;
const sec = new SecService();
const userSystemId = GBMinService.userMobile(step);
const user = await min.userProfile.get(step.context, {});
if (user.systemUser.agentMode === 'self') {
const manualUser = await sec.getUserFromAgentSystemId(userSystemId);
await min.whatsAppDirectLine.sendToDeviceEx(
manualUser.userSystemId,
Messages[locale].notify_end_transfer(min.instance.botId),
locale,
step.context.activity.conversation.id
);
if (userSystemId.charAt(2) === ':' || userSystemId.indexOf('@') > -1) {
// Agent is from Teams or Google Chat.
await min.conversationalService.sendText(
min,
step,
Messages[locale].notify_end_transfer(min.instance.botId)
);
} else {
await min.whatsAppDirectLine.sendToDeviceEx(
userSystemId,
Messages[locale].notify_end_transfer(min.instance.botId),
locale,
step.context.activity.conversation.id
);
}
await sec.updateHumanAgent(userSystemId, min.instance.instanceId, null);
await sec.updateHumanAgent(manualUser.userSystemId, min.instance.instanceId, null);
user.systemUser = await sec.getUserFromSystemId(userSystemId);
await min.userProfile.set(step.context, user);
} else if (user.systemUser.agentMode === 'human') {
const agent = await sec.getUserFromSystemId(user.systemUser.agentSystemId);
await min.whatsAppDirectLine.sendToDeviceEx(
user.systemUser.userSystemId,
Messages[locale].notify_end_transfer(min.instance.botId),
locale,
step.context.activity.conversation.id
);
if (user.systemUser.agentSystemId.charAt(2) === ':' || userSystemId.indexOf('@') > -1) {
// Agent is from Teams or Google Chat.
await min.conversationalService.sendText(
min,
step,
Messages[locale].notify_end_transfer(min.instance.botId)
);
} else {
await min.whatsAppDirectLine.sendToDeviceEx(
user.systemUser.agentSystemId,
Messages[locale].notify_end_transfer(min.instance.botId),
locale,
step.context.activity.conversation.id
);
}
await sec.updateHumanAgent(user.systemUser.userSystemId, min.instance.instanceId, null);
await sec.updateHumanAgent(agent.userSystemId, min.instance.instanceId, null);
user.systemUser = await sec.getUserFromSystemId(userSystemId);
await min.userProfile.set(step.context, user);
} else {
if (user.systemUser.userSystemId.charAt(2) === ':' || userSystemId.indexOf('@') > -1) {
// Agent is from Teams or Google Chat.
await min.conversationalService.sendText(min, step, 'Nenhum atendimento em andamento.');
} else {
await min.whatsAppDirectLine.sendToDeviceEx(
user.systemUser.userSystemId,
'Nenhum atendimento em andamento.',
locale,
step.context.activity.conversation.id
);
}
}
return await step.next();
}
])
);
min.dialogs.add(
new WaterfallDialog('/feedbackNumber', [
async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
} else {
return await step.next(step.options);
}
},
async step => {
const locale = step.context.activity.locale;
return await step.next();
},
async step => {
const locale = step.context.activity.locale;
const rate = step.result.entity;
const user = await min.userProfile.get(step.context, {});
await service.updateConversationRate(user.conversation, rate);
await min.conversationalService.sendText(min, step, Messages[locale].thanks);
return await step.next();
}
])
);
min.dialogs.add(
new WaterfallDialog('/feedback', [
async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
} else {
return await step.next(step.options);
}
},
async step => {
const locale = step.context.activity.locale;
await min.conversationalService.sendText(min, step, Messages[locale].about_suggestions);
step.activeDialog.state.cbId = (step.options as any).id;
return await min.conversationalService.prompt(min, step, Messages[locale].what_about_service);
},
async step => {
const fixedLocale = 'en-US';
const user = await min.userProfile.get(step.context, {});
// Updates values to perform Bot Analytics.
const analytics = new AnalyticsService();
const rate = await analytics.updateConversationSuggestion(
min.instance.instanceId,
user.conversation.conversationId,
step.result,
user.systemUser.locale
);
if (rate > 0.5) {
await min.conversationalService.sendText(min, step, Messages[fixedLocale].glad_you_liked);
} else {
const message = min.core.getParam<string>(
min.instance,
'Feedback Improve Message',
Messages[fixedLocale].we_will_improve
);
await min.conversationalService.sendText(min, step, message);
}
return await step.replaceDialog('/ask', { isReturning: true });
}
])
);
}
}