Microservice Approach for Web Development – Micro Frontends

This post is based on my Oracle Code 2018 Warsaw talk. View presentation on slides share:


Wondering what micro frontends term means? Check micro frontends description here. Simply speaking, micro frontend must implement business logic from top to bottom (database, middleware and UI) in isolated environment, it should be reusable and pluggable into main application UI shell. There must be no shared variables between micro frontends. Advantage - distributed teams can work on separate micro (more...)

Comparing Intent Classification in TensorFlow and Oracle Chatbot

I have created sample set of intents with phrases (five phrases per intent, and ten intents). Using this set of data to train and build classification model with TensorFlow and Oracle Chatbot machine learning. Once model is trained, classifying identical sample phrases with both TensorFlow and Oracle Chatbot to compare results. Using Oracle Chatbot with both Linguistic and Machine Learning models.

Summary:

1. Overall TensorFlow model performs better. The main reason for this - I (more...)

Socket.IO Integration with Oracle JET

Socket.IO is a JavaScript library for realtime web applications. It comes in two parts - a client-side library that runs in the browser and a server-side library for Node.js. In this post I will walk you through complete integration scenario with Oracle JET.

Here you can see it in action. Send Event button from JET - sends message through Socket.IO to Node.js server side. Message is handled on server side and (more...)

ADF on Docker – Java Memory Limit Tuning for JVM

It might look like a challenge to run Java in Docker environment, by default Java is not aware of Docker memory limits. Check this article for example - Java inside docker: What you must know to not FAIL.  I was able to run WebLogic and ADF (Essential WebLogic Tuning to Run on Docker and Avoid OOM) on Docker previously without Java memory issues, using JAVA_OPTIONS=-XX:+UnlockCommercialFeatures -XX:+ResourceManagement -XX:+UseG1GC. However after Docker upgrade (more...)

Oracle JET Offline Persistence Toolkit – Offline Update Handling

Oracle JET Offline Persistence Toolkit supports offline update, create and delete operations. In this post I will describe update use case. Read previous post related to offline toolkit, where I explain how to handle REST pagination, querying and shredding - REST Paging Support by Oracle Offline Persistence in JET.

This gif shows scenario, where we go to offline mode and then changing data in multiple rows. Data update happens offline and each PATCH request is (more...)

ADF Declarative Component Example

ADF Declarative Component support is popular ADF framework feature, but in this post I would like to explain it from slightly different angle. I will show how to pass ADF binding and Java bean objects into component through properties, in these cases when component must show data from ADF bindings, such approach could offer robustness and simplify component development.

This is component implemented in the sample app - choice list renders data from ADF LOV (more...)

Find In Cache By Key ADF BC API Method Usage

What if you need to verify - if row with given key exists in fetched rowset? This could be useful while implementing validation logic. ADF BC API method findByKey - will trigger SQL call and fetch row from DB, if row with given key doesn't exist in fetched rowset. Luckily there is ADF BC API method called findInCacheByKey, this method only checks for row in fetched rowset, without going to DB - very convenient (more...)

REST Paging Support by Oracle Offline Persistence in JET

Oracle Offline Persistence query handler - Oracle Rest Query Handler supports pagination for Oracle ADF BC REST service out of the box. Check my previous post to see how querying works through offline persistence toolkit for ADF BC REST service - Shredding and Querying with Oracle Offline Persistence in JET.

Pagination is a must for large REST resources, its great that Oracle offline persistence toolkit supports it. Let's see it in action.

I navigate through (more...)

Classification – Machine Learning Chatbot with TensorFlow

Visual conversation flow is a first thing to create, when you want to build chatbot. Such flow will help to define proper set of intents along with dialog path. Otherwise it is very easy to get lost in conversation transitions and this will lead to chatbot implementation failure. Our chatbot for medical system doesn't make any decisions, instead it helps user to work with enterprise system. It gets user input and during conversation leads to (more...)

Microservices with Oracle ADF Remote Regions

ADF remote regions - functionality available in the latest ADF 12c versions. ADF remote region runs on different server and content is delivered to consuming module through ADF remote region servlet. This allows to decouple large enterprise system into separate modules, each running independently on separate servers. Gained advantage - system becomes more scalable and reliable, even if several modules will be down, system will continue to be functional.

Concept of ADF remote regions, reminds (more...)

Shredding and Querying with Oracle Offline Persistence in JET

I think offline functionality topic should become a trend in the future. Its great that Oracle already provides solution for offline - Oracle Offline Persistence toolkit. This is my second post related to offline support, read previous post - Oracle Offline Persistence Toolkit - Simple GET Response Example with JET. I have tested and explained with sample app how it works to handle simple GET response offline. While today I would like to go one (more...)

Oracle JET Composite Components – Manual for JET Coder

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 (more...)

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

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 (more...)

Avoid Blind SQL Call from ADF Task Flow Method

Keep an eye open on ADF Task Flow Method Call activities where methods from ADF Bindings are called. JDEV 12c sets deferred refresh for ADF binding iterators related to TF Method Call activities and this causing blind SQL to be executed. Blind SQL - query without bind variables.

Let me explain the use case, so that it will be more clear what I'm talking about.

Common example - TF initialization method call where data is (more...)

Oracle Offline Persistence Toolkit – Simple GET Response Example with JET

We have new tool from Oracle which can help to simplify offline logic implementation for JS apps.  In this post I will describe how to use Oracle Offline Persistence Toolkit with Oracle JET. However Offline Persistence is not constrained by JET usage only, this toolkit is available on NPM and can be integrated with other JS solutions.

I should emphasise - offline toolkit primary role is to enable mobile hybrid apps to work offline. (more...)

Linear Regression – Machine Learning with TensorFlow and Oracle JET UI Explained

Machine learning topic is definitely popular these days. Some get wrong assumptions about it - they think machine could learn by itself and its kind of magic. The truth is - there is no magic, but math behind it. Machine will learn the way math model is defined for learning process. In my opinion, the best solution is a combination of machine learning math and algorithms.  Here I could relate to chatbots keeping conversational (more...)

JET UI Shell with Dynamic Tabs Implementation

I will describe and provide sample code - how to implement dynamic tabs in Oracle JET. This is useful for module loading, default JET template comes with static tabs - this works OK for the apps with smaller number of modules. When menu structure is more complex, it makes sense to load tabs for each module dynamically, when module is selected from the menu. This allows user to focus on modules he is working on, (more...)

Recipe for JQuery Menu integration into ADF Faces

May be you are thinking to add some fresh looking element into your ADF app? I would propose JQuery menu. Advantage of such menu - it is purely client side implementation and it allows user to navigate through items really fast. Besides fast navigation, it looks great too and can be easily customized.

In this post I will describe how to achieve JQuery menu integration into ADF Faces and provide sample ADF application. I'm using (more...)

Machine Learning with Oracle JET and TensorFlow

Oracle JET works with any kind of REST service, such service could be the one coming from TensorFlow (read more in my previous post - TensorFlow Linear Regression Model Access with Custom REST API using Flask). I have implemented linear regression model with gradient descent optimizer in TensorFlow (will describe this in more detail in my next post - machine learning is all about mathematics) and consuming it in JET UI:


There is option (more...)

TensorFlow Linear Regression Model Access with Custom REST API using Flask

In my previous post - TensorFlow - Getting Started with Docker Container and Jupyter Notebook I have described basics about how to install and run TensorFlow using Docker. Today I will describe how to give access to the machine learning model from outside of TensorFlow with REST. This is particularly useful while building JS UIs on top of TensorFlow (for example with Oracle JET).

TensorFlow supports multiple languages, but most common one is Python. I (more...)