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index.ts
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index.ts
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// Import required packages
import * as restify from "restify";
import path from "path";
// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
import {
CloudAdapter,
ConfigurationServiceClientCredentialFactory,
ConfigurationBotFrameworkAuthentication,
TurnContext,
MemoryStorage,
CardFactory,
} from "botbuilder";
// This bot's main dialog.
import config from "./config";
import { Application } from "@microsoft/teams-ai";
import { OnBehalfOfCredentialAuthConfig, handleMessageExtensionQueryWithSSO, OnBehalfOfUserCredential, createMicrosoftGraphClientWithCredential } from "@microsoft/teamsfx";
import "isomorphic-fetch";
// Create adapter.
// See https://aka.ms/about-bot-adapter to learn more about adapters.
const credentialsFactory = new ConfigurationServiceClientCredentialFactory({
MicrosoftAppId: config.botId,
MicrosoftAppPassword: config.botPassword,
MicrosoftAppType: "MultiTenant",
});
const botFrameworkAuthentication = new ConfigurationBotFrameworkAuthentication(
{},
credentialsFactory
);
const adapter = new CloudAdapter(botFrameworkAuthentication);
// Catch-all for errors.
const onTurnErrorHandler = async (context: TurnContext, error: 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 unhandled error:\n ${error.message}`);
await context.sendActivity("To continue to run this bot, please fix the bot source code.");
};
// Set the onTurnError for the singleton CloudAdapter.
adapter.onTurnError = onTurnErrorHandler;
// Create bot to handle message extension events using Teams-AI library.
const storage = new MemoryStorage();
const app = new Application({
storage,
adapter,
botAppId: config.botId,
});
const oboAuthConfig: OnBehalfOfCredentialAuthConfig = {
authorityHost: config.authorityHost,
tenantId: config.tenantId,
clientId: config.clientId,
clientSecret: config.clientSecret
}
const scope= "User.Read"
const loginEndpoint = `https://${config.botDomain}/auth-start.html`
app.messageExtensions.query("searchQuery", async (context, state, query) => {
const result = await handleMessageExtensionQueryWithSSO(context, oboAuthConfig, loginEndpoint, scope, async (token) => {
const credential = new OnBehalfOfUserCredential(token.ssoToken, oboAuthConfig);
const graphClient = createMicrosoftGraphClientWithCredential(credential, scope);
const me = await graphClient.api('/me').get();
return {
composeExtension: {
type:"result",
attachmentLayout: "list",
attachments: [CardFactory.heroCard(me.displayName, me.mail)]
}
}
});
if (result) {
return result.composeExtension;
}
});
// Create HTTP server.
const server = restify.createServer();
server.use(restify.plugins.bodyParser());
server.listen(process.env.port || process.env.PORT || 3978, () => {
console.log(`\nBot Started, ${server.name} listening to ${server.url}`);
});
// Listen for incoming requests.
server.post("/api/messages", async (req, res) => {
await adapter.process(req, res, async (context) => {
await app.run(context);
});
});
server.get(
"/auth-:name(start|end).html",
restify.plugins.serveStatic({
directory: path.join(__dirname, "public"),
})
);