How to use botbuilder-applicationinsights - 7 common examples

};

// Create two variables to indicate whether or not the bot should include messages' text and usernames when
// sending information to Application Insights.
// These settings are used in the MyApplicationInsightsMiddleware and also in MyAppInsightsQnAMaker.
const logMessage = true;
const logName = true;

// Map the contents of appInsightsConfig to a consumable format for MyAppInsightsMiddleware.
const appInsightsSettings = {
    logOriginalMessage: logMessage,
    logUserName: logName
};

// Create an Application Insights telemetry client.
const appInsightsClient = new ApplicationInsightsTelemetryClient(appInsightsConfig.instrumentationKey);

// Create adapter. See https://aka.ms/about-bot-adapter to learn more adapters.
const adapter = new BotFrameworkAdapter({
    appId: endpointConfig.appId || process.env.microsoftAppID,
    appPassword: endpointConfig.appPassword || process.env.microsoftAppPassword
});

// Register a MyAppInsightsMiddleware instance.
// This will send to Application Insights all incoming Message-type activities.
// It also stores in TurnContext.TurnState an `applicationinsights` TelemetryClient instance.
// This cached TelemetryClient is used by the custom class MyAppInsightsQnAMaker.
adapter.use(new MyAppInsightsMiddleware(appInsightsClient, appInsightsSettings));

// Catch-all for errors.
adapter.onTurnError = async (context, error) => {
    console.error(`\n [onTurnError]: ${ error }`);

};

// Create two variables to indicate whether or not the bot should include messages' text and usernames when
// sending information to Application Insights.
// These settings are used in the MyApplicationInsightsMiddleware and also in MyAppInsightsLuisRecognizer.
const logMessage = true;
const logName = true;

// Map the contents of appInsightsConfig to a consumable format for MyAppInsightsMiddleware.
const appInsightsSettings = {
    logOriginalMessage: logMessage,
    logUserName: logName
};

// Create an Application Insights telemetry client.
const appInsightsClient = new ApplicationInsightsTelemetryClient(appInsightsConfig.instrumentationKey);

// Indicate that the base LuisRecognizer class should include the raw LUIS results.
const includeApiResults = true;

// Create adapter. See https://aka.ms/about-bot-adapter to learn more adapters.
const adapter = new BotFrameworkAdapter({
    appId: endpointConfig.appId || process.env.microsoftAppID,
    appPassword: endpointConfig.appPassword || process.env.microsoftAppPassword
});

// Register a MyAppInsightsMiddleware instance.
// This will send to Application Insights all incoming Message-type activities.
// It also stores in TurnContext.TurnState an `applicationinsights` TelemetryClient instance.
// This cached TelemetryClient is used by the custom class MyAppInsightsLuisRecognizer.
adapter.use(new MyAppInsightsMiddleware(appInsightsClient, appInsightsSettings));

// Send a message to the user
    let onTurnErrorMessage = 'The bot encountered an error or bug.';
    await context.sendActivity(onTurnErrorMessage, onTurnErrorMessage, InputHints.ExpectingInput);
    onTurnErrorMessage = 'To continue to run this bot, please fix the bot source code.';
    await context.sendActivity(onTurnErrorMessage, onTurnErrorMessage, InputHints.ExpectingInput);
    // Clear out state
    await conversationState.delete(context);
};

// Set the onTurnError for the singleton BotFrameworkAdapter.
adapter.onTurnError = onTurnErrorHandler;

// Add telemetry middleware to the adapter middleware pipeline
var telemetryClient = getTelemetryClient(process.env.InstrumentationKey);
var telemetryLoggerMiddleware = new TelemetryLoggerMiddleware(telemetryClient);
var initializerMiddleware = new TelemetryInitializerMiddleware(telemetryLoggerMiddleware);
adapter.use(initializerMiddleware);

// Define a state store for your bot. See https://aka.ms/about-bot-state to learn more about using MemoryStorage.
// A bot requires a state store to persist the dialog and user state between messages.

// For local development, in-memory storage is used.
// CAUTION: The Memory Storage used here is for local bot debugging only. When the bot
// is restarted, anything stored in memory will be gone.
const memoryStorage = new MemoryStorage();
const conversationState = new ConversationState(memoryStorage);
const userState = new UserState(memoryStorage);

// If configured, pass in the FlightBookingRecognizer.  (Defining it externally allows it to be mocked for tests)
const { LuisAppId, LuisAPIKey, LuisAPIHostName } = process.env;
const luisConfig = { applicationId: LuisAppId, endpointKey: LuisAPIKey, endpoint: `https://${ LuisAPIHostName }` };

function getTelemetryClient(settings: Partial): BotTelemetryClient {
    if (settings !== undefined && settings.appInsights !== undefined && settings.appInsights.instrumentationKey !== undefined) {
        const instrumentationKey: string = settings.appInsights.instrumentationKey;

        return new ApplicationInsightsTelemetryClient(instrumentationKey);
    }

    return new NullTelemetryClient();
}

function getTelemetryClient(settings: Partial): BotTelemetryClient {
    if (settings !== undefined && settings.appInsights !== undefined && settings.appInsights.instrumentationKey !== undefined) {
        const instrumentationKey: string = settings.appInsights.instrumentationKey;

        return new ApplicationInsightsTelemetryClient(instrumentationKey);
    }

    return new NullTelemetryClient();
}

function getTelemetryClient(settings: Partial): BotTelemetryClient {
    if (settings !== undefined && settings.appInsights !== undefined && settings.appInsights.instrumentationKey !== undefined) {
        const instrumentationKey: string = settings.appInsights.instrumentationKey;

        return new ApplicationInsightsTelemetryClient(instrumentationKey);
    }

    return new NullTelemetryClient();
}

function getTelemetryClient(instrumentationKey) {
    if (instrumentationKey) {
        return new ApplicationInsightsTelemetryClient(instrumentationKey);
    }
    return new NullTelemetryClient();
}