Archive for the ‘Mobile’ Category

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I’m pleased to announce the release of version 2.4.1 of Oracle Mobile Application Framework (MAF). 

This is a minor release containing the following enhancements:

  • Xcode 8.3 support, including a new ‘Method’ field in iOS Platform preferences that must be set appropriately
  • Support for Cordova plugins that spawn a native UI on the Windows platform
  • Android multidex support for apps that have grown too large
  • A companion tool for app performance analysis

Note that Xcode 8.3.x is required for iOS deployment.

Please refer to the What’s New section of the developer guide for detailed information about the changes and how they may affect you.

For additional release information, such as release notes and certification matrix, please refer to the MAF documentation on OTN.

This release of MAF requires JDeveloper 12.2.1.0.0 and you can upgrade MAF via the JDeveloper Update Center. 

We encourage you to upgrade to this latest MAF release as soon as possible

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One of my favorite parts in Oracle JET – modular code structuring support. This allows to split application functionality into modules and reusable functions. In this post I will show how you could leverage Oracle JET modular architecture not only by implementing common code functions, but also by managing data maintained in common modules.
Let’s jump to the example (download or browse through sample code on GitHub repository – JETModularArchitecture). Sample application is based on JET template. I have created two common modules – dashboardChartHelper and dashboardTableHelper. These modules define data structure to be displayed in the dashboard and provide API to manage this data from consuming module:

Both helper modules are imported into consuming module – dashboard: Read the complete article here.

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In this blog we look at the specific aspects of Chatbots and elaborate on its four integration parts. Read our previous blogs in this series: Why Chatbots, Maturity levels and Intelligence.

Chatbots are like any other application; they have a need for integration. In basic form the Chatbot integrates with the Channels, the Intelligence Providing systems, Backend systems  and it offloads Usage information for later improvements and intelligence determination.

All four integration parts have their usage patterns and (non functional) requirements for usage in the Chatbot solution.

Here we go through the details of each integration parts and considerations that need to be made during the design of a Chatbot solution.

Channel integration
Integration with channels firstly is about the job of acting as a funnel for many devices all communicating with the bot engine. As human interaction is a fraction of the speed of the ability for the engine to process the dialogue we need a more contemporary integration model that doesn’t tie up resources such as threads for each stream of interaction such as the models that Kafka and Node.js support. Read the complete article here.

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Snapchat, Instagram, Virtual Reality, Augmented Reality, cloud image recognition services, and more. Designers and developers of chatbots are surrounded by the atomic unit of images, their combined storytelling power, and the innovative possibilities imaging technology presents for conversational interface solutions at work and play.

A smartphone sans camera today is the exception to the norm, and the means to take pictures with your device is more powerful than ever in terms of image quality and options. Even the Nokia 3310 ‘relaunch’ added an on-board camera, confirming that taking pictures on the go is a must-have part of the mobile user experience for even the most retro-conscious hipster. Read the complete article here. Read the complete article here.

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If you was evaluating Oracle RDK UI template, probably you noticed information popup coming up, when RDK home page is loaded. Popup is loaded through showPopupBehavior listener, which is executed on Welcome page load event. Such popup is not required in practice, and usually is disabled. But as soon as you disable it, there will be layout issues with Welcome page. User information widget will not align the name and menu navigation items will not be ordered correctly: Read the complete article here.

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Unless explicitly identified as such, the sample code here is not certified or supported by Oracle; it is intended for educational or testing purposes only.

The below Samples Downloads are released under the UPL License.

Name

Created/Updated

Description

Download

Oracle Applications Mobile User Experience Rapid Development Kit (RDK)

2017-05-18

The Mobile UI Application sample code illustrates how to develop compelling Oracle Mobile User Experiences for Oracle Cloud Services.

AppsCloudMAFKit_1.0.1.zip

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Oracle MCS offers different levels of lifecycle management and in this post I am going to focus on the lifecycle management (versioning) of the different artifacts such as Mobile Backends, Custom APIs and their implementations, etc. These artifacts can have two different states: draft and published. When you publish an API it is frozen becasuse it is not safe to modify it, if you modify it you can cause problems in the different components that are using it.
This is why versioning is one of the key points that you have to keep in mind when developing APIs.
In this example we are going to suppose that we have a mobile app that consumes Twitter API from Oracle MCS. As you might know, in order to consume twitter API you need tokens that you can get when you create your application in Twitter Platform.
One option we have is to have, for example, a JSON file, or even a json with the different values inside our API implementation file. Read the complete article here.

 

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