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Building Bots with Microsoft Bot Framework

You're reading from   Building Bots with Microsoft Bot Framework Creating intelligent conversational interfaces

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463104
Length 424 pages
Edition 1st Edition
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Author (1):
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Kishore Gaddam Kishore Gaddam
Author Profile Icon Kishore Gaddam
Kishore Gaddam
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Table of Contents (10) Chapters Close

Preface 1. Setting up Microsoft Bot Framework Dev Environment FREE CHAPTER 2. Developing Your First Bot Using the Connector and Builder SDK 3. Developing WeatherBot Using Dialogs and LUIS 4. Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services 5. Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs 6. Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies 7. Intelligent Bots with Microsoft Bot Framework and Service Fabric 8. Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI 9. Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Post method

The Post method accepts messages from the user as an activity, which contains all conversation information between the user and our bot. Using this, we can ascertain what kind of information the user wants from the bot:

public async Task<HttpResponseMessage> Post([FromBody]Activity activity) 

Here, we defined a sample bot that will reply back to the user with the same as what you say to it.

The Bot Framework provides many features that include how to identify the type of incoming message and based on that, your bot can respond to the user. To identify that, we have activity enum types, which will provide information about the conversation.

To identify and apply business logic to the message sent by the user, we will write the following code in the Post method:

if (activity.Type == ActivityTypes.Message) 
{
}

If the user is sending a message, it means they are requesting something...

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