// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
const path = require('path');
const dotenv = require('dotenv');
// Import required bot configuration.
const ENV_FILE = path.join(__dirname, '.env');
dotenv.config({ path: ENV_FILE });
const restify = require('restify');
const { QnAMaker } = require('botbuilder-ai');
// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
const { BotFrameworkAdapter } = require('botbuilder');
// This bot's main dialog.
const { MyBot } = require('./bot');
// Create HTTP server
const server = restify.createServer();
server.listen(process.env.port || process.env.PORT || 3978, () => {
console.log(`\n${ server.name } listening to ${ server.url }`);
console.log('\nGet Bot Framework Emulator: https://aka.ms/botframework-emulator');
console.log('\nTo talk to your bot, open the emulator select "Open Bot"');
});
// Create adapter.
// See https://aka.ms/about-bot-adapter to learn more about how bots work.
const adapter = new BotFrameworkAdapter({
appId: process.env.MicrosoftAppId,
appPassword: process.env.MicrosoftAppPassword,
});
// Map knowledge base endpoint values from .env file into the required format for `QnAMaker`.
const configuration = {
knowledgeBaseId: process.env.QnAKnowledgebaseId,
endpointKey: process.env.QnAAuthKey,
host: process.env.QnAEndpointHostName
};
// Catch-all for errors.
const onTurnErrorHandler = async (context, error) => {
// This check writes out errors to console log .vs. app insights.
// NOTE: In production environment, you should consider logging this to Azure
// application insights.
console.error(`\n [onTurnError] unhandled error: ${ error }`);
// Send a trace activity, which will be displayed in Bot Framework Emulator
await context.sendTraceActivity(
'OnTurnError Trace',
`${ error }`,
'https://www.botframework.com/schemas/error',
'TurnError'
);
// Send a message to the user
await context.sendActivity('The bot encountered an error or bug.');
await context.sendActivity('To continue to run this bot, please fix the bot source code.');
};
// Set the onTurnError for the singleton BotFrameworkAdapter.
adapter.onTurnError = onTurnErrorHandler;
// Create the main dialog.
const myBot = new MyBot(configuration, {});
// Listen for incoming requests.
server.post('/api/messages', (req, res) => {
adapter.processActivity(req, res, async (context) => {
// Route to main dialog.
await myBot.run(context);
});
});
// Listen for Upgrade requests for Streaming.
server.on('upgrade', (req, socket, head) => {
// Create an adapter scoped to this WebSocket connection to allow storing session data.
const streamingAdapter = new BotFrameworkAdapter({
appId: process.env.MicrosoftAppId,
appPassword: process.env.MicrosoftAppPassword
});
// Set onTurnError for the BotFrameworkAdapter created for each connection.
streamingAdapter.onTurnError = onTurnErrorHandler;
streamingAdapter.useWebSocket(req, socket, head, async (context) => {
// After connecting via WebSocket, run this logic for every request sent over
// the WebSocket connection.
await myBot.run(context);
});
});
使用Microsoft Azure使用编辑器VS代码创建QnA机器人后,我尝试在模拟器中对其进行测试,但收到以下错误“ [onTurnError]未处理的错误:TypeError:无法读取未定义的属性'map'”。有人可以帮我弄这个吗? 我遵循了SDK4教程- https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna?view=azure-bot-service-4.0&tabs=javascript
谢谢, Rujuta