Oracle JET Composite Components – Manual for JET Coder by Andrejus Baranovskis

Posted: December 10, 2018 in JDeveloper & ADF
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JET Composite Components – are useful not only to build UI widgets, but also to group and simplify JET code. In this post, I will show how to wrap JET table into composite component and use all essential features, such as properties, methods, events and slots.
Sample app code is available on GitHub. JET table is wrapped into composite component, it comes with slot for toolbar buttons:

What is the benefit to wrap such components as JET table into your own composite? To name a few:
1. Code encapsulation. Complex functionality, which requires multiple lines of HTML and JS code resides in the composite component
2. Maintenance and migration. It is easier to fix JET specific changes in single place
3. Faster development. There is less steps to repeat and less code to write for developer, when using shorter definition of the wrapper composite component
Sample application implements table-redsam component, for the table UI you can see above. Here is component usage example, very short and clean: Read the complete article. here

 

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Oracle JET Web Applications – Automating Build, Package and Deploy (to Application Container Cloud) using a Docker Container by Lucas Jellema

Posted: December 9, 2018 in JDeveloper & ADF, Cloud
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The essential message of this article is the automation for Oracle JET application of the flow from source code commit to a running application on Oracle Application Container Cloud, as shown in this picture:

I will describe the inside of the “black box” (actually light blue in this picture) where the build, package and deploy are done for an Oracle JET application.

The outline of the approach: a Docker Container is started in response to the code commit. This container contains all tooling that is required to perform the necessary actions including the scripts to actually run those actions. When the application has been deployed (or the resulting package is stored in an artifact repository) the container can be stopped. This approach is very clean – intermediate products that are created during the build process simply vanish along wih the container. A fresh container is started for the next iteration.

Note: the end to end build and deploy flow takes about 2 to 3 minutes on my environment. That obviously would be horrible for a simple developer round trip, but is actually quite acceptable for this type of ‘formal’ release to the shared cloud environment. This approach and this article are heavily inspired by this article (Deploy your apps to Oracle Cloud using PaaS Service Manager CLI on Docker) on Medium by Abhishek Gupta (who writes many very valuable articles, primarily around microservices and Oracle PaaS services such as Application Container Cloud).

Note: this article focuses on final deployment of the JET application to Application Container Cloud. It would however be quite simple to modify (in fact to simplify)the build container to not deploy the final ZIP file to Application Container Cloud, but instead push the file to an artifact repository or deploy to some other type of runtime platform. It would not be very hard to take the ZIP file and create a fresh Docker Container with that file that can be deployed on Kubernetes Cluster or any Docker runtime such as Oracle Container Cloud. Read the complete article here.

 

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How Loyco Uses Oracle JET

Posted: December 8, 2018 in JDeveloper & ADF
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Loyco is using Oracle JET to build and run their financial reporting application. This application improves user experience and allows easy navigation through financial data reports. Without extra roundtrips to the REST back-end service, drilldowns related to Cash, Subledger, Payments and Journal modules are displayed using such JET components as tables, lists and charts. All this allows seamless and fast data browsing on the client side. The application is relying on a dynamic UI, which provides filter and sort options for data based on such criteria as financial year, month, etc. There are no static filters defined, the UI is driven by dynamic master-detail data coming from the back-end. The Oracle JET based Loyco Finance application was built by the Red Samurai Consulting team. Read the complete article here.

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Say Hello to Red Samurai Contextual Chatbot with TensorFlow Deep Neural Network Learning by Andrejus Baranovskis

Posted: December 7, 2018 in Cloud, Mobile
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We are building our own enterprise chatbot. This chatbot helps enterprise users to run various tasks – invoice processing, inventory review, insurance cases review, order process – it will be compatible with various customer applications. Chatbot is based on TensorFlow Machine learning for user input processing. Machine learning helps to identify user intent, our custom algorithm helps to set conversation context and return response. Context gives control over  sequence of conversations under one topic, allowing chatbot to keep meaningful discussion based on user questions/answers. UI part is implemented in two different versions – JET and ADF, to support integration with ADF and JET applications.

Below is the trace of conversations with chatbot:

User statement Ok, I would like to submit payment now sets context transaction. If word payment is entered in the context of transaction, payment processing response is returned. Otherwise if there is no context, word payment doesn’t return any response. Greeting statement – resets context.

Intents are defined in JSON structure. List of intents is defined with patterns and tags. When user types text, TensorFlow Machine learning helps to identify pattern and it returns probabilities for matching tags. Tag with highest probability is selected, or if context was set – tag from context. Response for intent is returned randomly, based on provided list. Intent could be associated with context, this helps to group multiple related intents: Read the complete article here.

 

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TechExchange – Using SMS Channels with Oracle Intelligent Bots by: Frank Nimphius

Posted: December 6, 2018 in Cloud, Mobile
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Using SMS is a very convenient way to communicate with someone these days and most people prefer to use SMS instead of email. SMS also gives you a history of the conversation while, for example, the context of a phone call can be easily forgotten if you don’t take notes.

In the same way that you text someone these days, you could also apply the same idea to business communications. The convenience, flexibility and speed of SMS can dramatically improve customer service. On top of that, several business tasks could be easily automated. Just imagine that you can get the status of something you order without waiting in line or having to download a particular mobile app by just texting the business’ phone number.

Having the capability of serving your users using SMS with an Intelligent Bot performing the interactions is the exact scenario we are going to explore in this article. Read the complete article here.

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First Step in Training Your Bot by Grant Ronald

Posted: December 5, 2018 in Cloud, Mobile
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The key to building a successful chatbot is to ensure that the bot and the user can have a conversation that both sides understand.

How well the bot understands the conversation depends in part on the quality and amount of end user utterance data. In Oracle Intelligent Bots, sample utterances define a base set of phrases (which would be regarded as typical phrases for that intent) that are used to train the bot to resolve user intent.

In this article we offer some general guidance for designing the utterances for your intents, with specific attention to the case when you do not have access to a set of actual end user utterances. Read the complete article here.

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Oracle Developer Meetups in Utrecht, Lille, Brussels, Istanbul, London, Lisbon, Madrid, Cologne and Oslo

Posted: December 4, 2018 in Community
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Want to learn more about developing Enterprise-grade Cloud Native applications on the Oracle Cloud Platform, covering topics like Microservices Architecture, developing in Node, Python and PHP, using Low Code development tools to build Mobile apps, and much more? Join the Oracle Developer Meetup groups if you want to follow Oracle’s solutions in this area, or participate in the events and hands-on labs we organize:

· Utrecht, Netherlands

· Brussels, Belgium

· Cologne, Germany

· Istanbul, Turkey

· Lisbon, Portugal

· Lille, France

· London, UK

· Madrid, Spain

· Oslo, Norway

Please let us know in case you want to run an event at one of this location or you want to start your local meetup. We are looking forward to support you and sponsor the event with pizza and beer!

Developer Partner Community

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