Writing Slack Bots in JavaScript

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Niklas Heidloff

The document discusses how to create Slack chatbots using JavaScript. It covers using the Botkit framework to build bots that integrate with Slack and can connect to external services like IBM Watson. The presentation shows how to configure bots and Botkit to handle messaging with users in Slack and utilize Watson's Conversation service through Botkit middleware to have natural language conversations. Examples are provided of building bots that can lookup weather and return the current time.

codemotion Berlin
October 2017
How to write your own Slack ChatBots in JavaScript
Ansgar Schmidt
IBM, Developer Advocate
@ansi
ansi.23-5.eu
Niklas Heidloff
IBM, Developer Advocate
@nheidloff
heidloff.net

@ansi @nheidloff
Sample Bot

@ansi @nheidloff
Architecture
User
Slack
Slack
Your Bot
Code
External
Data
Source
API
IBM
Watson
Botkit
Watson
Admin

@ansi @nheidloff
Slack APIs and Programming Model

@ansi @nheidloff
Slack Configuration

@ansi @nheidloff
Slack Configuration

@ansi @nheidloff
Slack Configuration

@ansi @nheidloff
Slack Configuration

Slack Configuration

@ansi @nheidloff
Slack Configuration

Node.js open source
framework
Support of various
messaging platforms
Support of various
NLP services
@ansi @nheidloff
Botkit

@ansi @nheidloff
Botkit – Configuration

@ansi @nheidloff
Botkit –
Real Time Messaging

@ansi @nheidloff
Botkit – Adding Bots

Botkit – Replies and Conversations

@ansi @nheidloff
Watson Conversation

@ansi @nheidloff
Watson

Watson

@ansi @nheidloff
Watson

@ansi @nheidloff
Message Builder

@ansi @nheidloff
Watson

@ansi @nheidloff
Watson Botkit Middleware

@ansi @nheidloff
Watson Botkit Middleware

@ansi @nheidloff
Watson Responses

Lookup Weather

@ansi @nheidloff
New Intent: Get Time

@ansi @nheidloff
Dialog

@ansi @nheidloff
Get Time Code

Bluemix Trial: http://codemotion17.mybluemix.net/
Botkit: https://botkit.ai/
Sample: https://github.com/nheidloff/slack-watson-bot
Watson Conversation:
https://www.ibm.com/watson/developercloud/conversation.html
@ansi @nheidloff
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Rapid Application Development in the Cloud and On-Premises with Docker Niklas Heidloff @nheidloff http://heidloff.net JavaLand 2016: https://www.doag.org/konferenz/konferenzplaner/konferenzplaner_details.php?id=499959&locS=0&vid=515755 With the availability of new platform stacks and new tools, the coding of applications has become a lot easier over the last years. However a key problem of software development often still occurs which is the challenge of rapid deployments in different environments development, testing and production and both on-premises and cloud. The typical developers excuse it works for me doesn’t count anymore. Instead today developers are responsible for the complete development cycle up to the deployment and testing in production environments. Fortunately Docker addresses this challenge and makes it very easy to deploy applications in different environments. This empowers developers and allows them to be really innovative by focussing on writing code to go from concept to production in minutes rather than months. In this session we are going to use the Cloud Foundry implementation IBM Bluemix to get applications deployed to the cloud by leveraging the power and portability of Docker containers. Well talk about everything from build pipelines, to private registries, container monitoring and more.

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Sessions at http://developerworld.heise.de / March 2015 IBM Watson represents a bold new partnership between people and computers that enhances, scales, and accelerates human expertise. Watson provides various cognitive services that can be integrated via REST APIs in your own apps, for example user modeling, questions and answers, speech recognition, concept expansion and much more. Attend this session to learn about the cognitive Watson services available on IBM Bluemix, IBM's Platform as a Service. With Bluemix developers can focus on writing code rather than setting up infrastructure and they can mix various services into their applications. In this session you'll see a live demo how to build apps leveraging these cognitive capabilities.

Build cognitive Apps that help enhance, scale and accelerate Human Expertise

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IBM Enterprise Social Solutions on Bluemix (XPages and Connections)

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Niklas Heidloff

IBM Connect 2014 AD206 : Build Apps Rapidly by Leveraging Services from IBM Collaboration Solutions Niklas Heidloff, IBM Henning Schmidt, hedersoft GmbH Demo: http://www.youtube.com/watch?v=Wl5hasivtPQ Don’t reinvent the wheel when building your own apps. Instead use the services provided by IBM Collaboration Solutions and focus on your specific business requirements. IBM Collaboration Solutions provide an unique set of social and collaborative services like profiles, file sharing, community discussions and much more. Come to this session to see different types of apps, e.g. XPages apps, that have been developed rapidly by leveraging these services from IBM Connections–on premises or in the cloud. Technically the services can be easily accessed from apps via the IBM Social Business Toolkit SDK. In this session you’ll learn how the SDK simplifies calling the back-end services via APIs and how reusable user interface controls can leveraged. Wed, 29/Jan 05:30 PM – 06:30 PM

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IBM Connect 2014 BP207 : Don’t Reinvent the Wheel – (Re)use Open Source Software From OpenNTF Niklas Heidloff, IBM Christian Guedemann, OpenNTF / WebGate Consulting AG OpenNTF is THE open source community for IBM Collaboration Solutions with a focus on IBM XWork Server and IBM Connections. In this session, you’ll learn about the latest and greatest open source apps, gadgets, controls and other assets developed by community developers, business partners and IBM that are available on OpenNTF.org. We’ll also introduce additional community services OpenNTF provides like the news site for IBM Collaboration Solutions CollaborationToday.info, technical webinars and much more. Wed, 29/Jan 10:00 AM – 11:00 AM

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Modeling languages are generally applied for developing systems and software – both internally, with domain-specific languages, and with standardized languages targeting a general purpose and a wide audience. Way too often these languages are weakly created and defined leading to poor quality: Language definitions tend to contain errors and inconsistencies; notations do not recognize the communication and problem-solving needs of humans; standardization organizations push exchange formats that do not fully work and offer certificates that do not measure mastery of the language. We describe common problems in language development and point them out with examples from known cases. To overcome these problems, we suggest several solutions to improve language development, including using modeling languages specifically designed to define modeling languages, continuous testing and prototyping, and keeping language users in the loop.

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