Vaadin 7 is an open source web application framework that allows developers to build rich client-side web applications using Java on the server-side and JavaScript on the client-side, with new features in Vaadin 7 including improved component architecture, support for SASS styling, and enhanced widget communication through state-based RPC.
Conf soat tests_unitaires_Mockito_jUnit_170113SOAT
Vous subissez les régressions à chaque livraison ? Vous ne voyez pas l’intérêt des tests unitaires car ils ne servent qu’à tester des additions ? Si c’est le cas, suivez David dans la quête du Test Driven Development. Nous rencontrerons pléthore d'ennemies contre lesquels nous aurons à combattre : bugs, complexité, code statique, couplage fort. Ils essaieront de nous barrer la route, mais heureusement, nous pourrons compter sur nos alliés jUnit, Mockito, refactoring et injection/dépendance
Conf soat tests_unitaires_Mockito_jUnit_170113SOAT
Vous subissez les régressions à chaque livraison ? Vous ne voyez pas l’intérêt des tests unitaires car ils ne servent qu’à tester des additions ? Si c’est le cas, suivez David dans la quête du Test Driven Development. Nous rencontrerons pléthore d'ennemies contre lesquels nous aurons à combattre : bugs, complexité, code statique, couplage fort. Ils essaieront de nous barrer la route, mais heureusement, nous pourrons compter sur nos alliés jUnit, Mockito, refactoring et injection/dépendance
GDG DevFest 2017 - Inspections of Kotlin implementations by Bytecode.
세션 이후 "Kotlin은 Java의 wrapper인가요?" 라는 질문을 몇번 받았습니다.
—
답변: 그렇지 않습니다.
특정한 언어로 구현된 코드는 파싱을 거쳐 추상화된 형태(AST)와 추가 정보들을 가지는 1차적인 결과물로 처리됩니다. 보통 이런 역할을 하는 것은 컴파일러에서 전단부(frontend)라고 호칭하며 이러한 AST 등의 결과물은 대상 머신이나 플랫폼에 맞추어 처리됩니다.
이를 바로 실행하면 인터프리터라고 하지만, 실행 가능한 형태(Executable)로 생성하는 경우라면 컴파일러 후단부(Backend)가 이를 수행합니다.
백엔드의 타겟 코드는 충분히 다양한 대상을 다룰 수 있으므로, 우리가 다양한 백엔드 구현을 통해 동일 코드를 멀티 플랫폼을 대상으로 실행할 수 있도록 할 수 있는 것입니다.
코틀린 역시 대상으로 하는 플랫폼(과 머신)은 현재 다음과 같은 실행 가능한 형태를 지원하고 있습니다. (물론 아직 모든 타겟이 완벽하지는 않겠죠.)
1. Bytecode 포맷에 따른 JVM(안드로이드 포함)
2. JavaScript에 의한 브라우저나 Node.js
3. llvm을 이용하여 여러 타겟의 네이티브 코드
이 자료는 이 중 1번을 기반으로 디컴파일된 코드를 살펴보고 코틀린의 코드 생성 목적이나 언어 설계의 원인(어떤 painpoint)를 찾아보는 과정의 일부였을 뿐입니다.
언어는 항상 요구되는 표현을 위해 가장 적합한 형태로 변화해나갑니다. 프로그래밍 언어는 비교적 단기간에 만들어지는 언어이고, 그에 따라 특정 사람과 집단의 목적에 충실합니다. 다만, 이 관점에서 봤을 때도 Kotlin이 Java의 wrapper로써 설계되었을 것보다는 다양한 타겟 플랫폼이 고려되고 있는 하나의 프로그래밍 언어로 받아들여 주시기를 바랍니다. :)
Poche chiacchiere e tanto codice per cercare rendere la nostra vita di
sviluppatori più divertente.
Parleremo di JAX-RS, le annotazioni, l'MVC che mette a disposizione e
l'integrazione di Jersey con Guice.
Useremo AOP per gestire log, transazioni e con l'aiuto di Infinispan
limiteremo le chamate concorrenti sul nostro cluster.
Async code on kotlin: rx java or/and coroutines - Kotlin Night TurinFabio Collini
It’s never easy to write async code but luckily there are many libraries to manage asynchronicity without adding too much complexity. In the last years RxJava and the other ReactiveX libraries have been very popular but lately there is a new way to manage async code in Kotlin: the coroutines. In this talk we’ll pros and cons of there two approaches and how to leverage them to simplify asynchronous code on Android.
Do they solve the same problem? Can we use them together? Which one can be used to write functional code? How can we use them effectively in Android development?
Spoiler alert: They are both great!
In this talk we’ll see how to solve common problems using RxJava or Coroutines, starting from basic concepts (for example the Retrofit support and how to cancel a task) to some more advanced (like threading, error management and how to combine multiple tasks).
All example of the talk are available on this repository:
https://github.com/fabioCollini/RxJavaVsCoroutines
자프링(자바 + 스프링) 외길 12년차 서버 개발자가 코프링(코틀린 + 스프링)을 만난 후 코틀린의 특징과 스프링의 코틀린 지원을 알아가며 코프링 월드에서 살아남은 이야기…
코드 저장소: https://github.com/arawn/kotlin-support-in-spring
Der Vortrag "Zend Framework meets Doctrine 2" von Paul Seiffert erklärt die Verwendung von Doctrine 2 in Projekten, die auf Zend Framework (ZF) basieren. Zuerst wird Paul dabei auf das Doctrine 2 ORM und dessen
grundsätzliche Verwendung eingehen (es wird also kein Doctrine 2 - Wissen vorausgesetzt), im weiteren Verlauf wird er die Einbindung des ORMs in ZF-Projekte erklären. Zum Schluss zeigt Paul ein kleines Beispiel-Projekt, in dem ZF und Doctrine 2 gemeinsam zum Einsatz kommen.
GeeCON 2017 - TestContainers. Integration testing without the hassleAnton Arhipov
TestContainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
Improving Type 2 Diabetes Therapy Adherence and Persistence in GermanyTim Borgas
Part of a 6 paper series on how to address avoidable economic and societal burden of T2D in Germany, the UK, the US, Mexico, Brazil and Saudi Arabia. Published by the IMS Institute under: http://www.imshealth.com/en/thought-leadership/ims-institute/reports/diabetes-series
GDG DevFest 2017 - Inspections of Kotlin implementations by Bytecode.
세션 이후 "Kotlin은 Java의 wrapper인가요?" 라는 질문을 몇번 받았습니다.
—
답변: 그렇지 않습니다.
특정한 언어로 구현된 코드는 파싱을 거쳐 추상화된 형태(AST)와 추가 정보들을 가지는 1차적인 결과물로 처리됩니다. 보통 이런 역할을 하는 것은 컴파일러에서 전단부(frontend)라고 호칭하며 이러한 AST 등의 결과물은 대상 머신이나 플랫폼에 맞추어 처리됩니다.
이를 바로 실행하면 인터프리터라고 하지만, 실행 가능한 형태(Executable)로 생성하는 경우라면 컴파일러 후단부(Backend)가 이를 수행합니다.
백엔드의 타겟 코드는 충분히 다양한 대상을 다룰 수 있으므로, 우리가 다양한 백엔드 구현을 통해 동일 코드를 멀티 플랫폼을 대상으로 실행할 수 있도록 할 수 있는 것입니다.
코틀린 역시 대상으로 하는 플랫폼(과 머신)은 현재 다음과 같은 실행 가능한 형태를 지원하고 있습니다. (물론 아직 모든 타겟이 완벽하지는 않겠죠.)
1. Bytecode 포맷에 따른 JVM(안드로이드 포함)
2. JavaScript에 의한 브라우저나 Node.js
3. llvm을 이용하여 여러 타겟의 네이티브 코드
이 자료는 이 중 1번을 기반으로 디컴파일된 코드를 살펴보고 코틀린의 코드 생성 목적이나 언어 설계의 원인(어떤 painpoint)를 찾아보는 과정의 일부였을 뿐입니다.
언어는 항상 요구되는 표현을 위해 가장 적합한 형태로 변화해나갑니다. 프로그래밍 언어는 비교적 단기간에 만들어지는 언어이고, 그에 따라 특정 사람과 집단의 목적에 충실합니다. 다만, 이 관점에서 봤을 때도 Kotlin이 Java의 wrapper로써 설계되었을 것보다는 다양한 타겟 플랫폼이 고려되고 있는 하나의 프로그래밍 언어로 받아들여 주시기를 바랍니다. :)
Poche chiacchiere e tanto codice per cercare rendere la nostra vita di
sviluppatori più divertente.
Parleremo di JAX-RS, le annotazioni, l'MVC che mette a disposizione e
l'integrazione di Jersey con Guice.
Useremo AOP per gestire log, transazioni e con l'aiuto di Infinispan
limiteremo le chamate concorrenti sul nostro cluster.
Async code on kotlin: rx java or/and coroutines - Kotlin Night TurinFabio Collini
It’s never easy to write async code but luckily there are many libraries to manage asynchronicity without adding too much complexity. In the last years RxJava and the other ReactiveX libraries have been very popular but lately there is a new way to manage async code in Kotlin: the coroutines. In this talk we’ll pros and cons of there two approaches and how to leverage them to simplify asynchronous code on Android.
Do they solve the same problem? Can we use them together? Which one can be used to write functional code? How can we use them effectively in Android development?
Spoiler alert: They are both great!
In this talk we’ll see how to solve common problems using RxJava or Coroutines, starting from basic concepts (for example the Retrofit support and how to cancel a task) to some more advanced (like threading, error management and how to combine multiple tasks).
All example of the talk are available on this repository:
https://github.com/fabioCollini/RxJavaVsCoroutines
자프링(자바 + 스프링) 외길 12년차 서버 개발자가 코프링(코틀린 + 스프링)을 만난 후 코틀린의 특징과 스프링의 코틀린 지원을 알아가며 코프링 월드에서 살아남은 이야기…
코드 저장소: https://github.com/arawn/kotlin-support-in-spring
Der Vortrag "Zend Framework meets Doctrine 2" von Paul Seiffert erklärt die Verwendung von Doctrine 2 in Projekten, die auf Zend Framework (ZF) basieren. Zuerst wird Paul dabei auf das Doctrine 2 ORM und dessen
grundsätzliche Verwendung eingehen (es wird also kein Doctrine 2 - Wissen vorausgesetzt), im weiteren Verlauf wird er die Einbindung des ORMs in ZF-Projekte erklären. Zum Schluss zeigt Paul ein kleines Beispiel-Projekt, in dem ZF und Doctrine 2 gemeinsam zum Einsatz kommen.
GeeCON 2017 - TestContainers. Integration testing without the hassleAnton Arhipov
TestContainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
Improving Type 2 Diabetes Therapy Adherence and Persistence in GermanyTim Borgas
Part of a 6 paper series on how to address avoidable economic and societal burden of T2D in Germany, the UK, the US, Mexico, Brazil and Saudi Arabia. Published by the IMS Institute under: http://www.imshealth.com/en/thought-leadership/ims-institute/reports/diabetes-series
ITIMARE è l' Agenzia principale di Ostia del gruppo ITI network; la presenza ventennale sul territorio e la conoscenza approfondita della comunità locale ci consente di presentarci come tuo partner ideale se hai deciso di vendere casa. Anche solo per avere utili consigli, contattaci! tel. 0645546334
JavaFX 8 est disponible depuis mars 2014 et apporte son lot de nouveautés. Gradle est en version 2 depuis juillet 2014. Deux technologies plus que prometteuses: JavaFX donne un coup de jeune au développement d’applications desktop en Java en apportant un navigateur web intégré, le support des WebSockets, de la 3D, et bien d’autres. Gradle est l’outil de d’automatisation de build à la mode, apportant de superbes possibilités par rapport rapport à maven, outil vieillissant, grâce à l’engouement de la communauté vis à vis de cet outil mais aussi par le fait de la technologie utilisée en son sein: groovy. Venez découvrir comment il est possible de réaliser rapidement une application à la mode en JavaFX avec un outil à la mode également. Bref venez à une session trendy.
The world of open source libraries and tools is vast for Android developers. Writing apps using solely Android SDK is impractical. Libraries can help you in many ways. They can speed up your development, save you creating boilerplate code and dealing with platform fragmentation, simplify your code and make it more readable and maintainable. In the talk I’m showing how several truly useful libraries can help a developer.
Presented at MobCon Europe 2017.
Adding a modern twist to legacy web applicationsJeff Durta
Avoid misery of working with legacy code
We will see how you can add independent and isolated components to existing pages; pages that may be difficult to change
React and Flux allow you to make self-contained additions that handle their own data access/persistence
Versão com GIFs:
https://docs.google.com/presentation/d/17M-jHlkAP5KPfQ4_Alck_wIsN2gK3dZNGfJR9Bi1L50/present
Códigos para instalação das dependências:
https://github.com/fdaciuk/talks/tree/master/2015/wordcamp-sao-paulo
Hackathon - Building vaadin add on componentsJoonas Lehtinen
My presentation at Vaadin Hackathon 19-21.4.2013. The presentation outlines all the step of creating a new Vaadin add-on component from design to deployment and publishing.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
67. public class Vaadin6App extends Application {
public void init() {
setMainWindow(createWindow());
}
public Window getWindow(String name) {
Window window = super.getWindow(name);
if (window == null) {
window = createWindow();
window.setName(name);
addWindow(window);
}
return window;
}
private Window createWindow() {
Window window = new Window("Vaadin 6 Application");
window.addComponent(new TextField("What is your name"));
window.addComponent(new Button("Do not push me"));
return window;
}
}
68. @Title("Vaadin 7 Application")
public class Vaadin7uiUI extends UI {
@Override
public void init(VaadinRequest request) {
addComponent(new TextField("What is your name"));
addComponent(new Button("Do not push me"));
}
}
75. public class Employee {
String firstName;
String lastName;
double salary;
6
Date birthDate;
// Getters, setters, …
}
Form form = new Form();
form.setItemDataSource(
new BeanItem<Employee>(employee));
76.
77.
78. form.setFormFieldFactory(new FormFieldFactory() {
public Field createField(Item item, Object propertyId,
Component uiContext) {
if ("birthDate".equals(propertyId)) {
6
DateField df = new DateField();
df.setResolution(DateField.RESOLUTION_DAY);
return df;
}
// ..
return DefaultFieldFactory.createFieldByPropertyType(item
.getItemProperty(propertyId).getType());
}
});
79. 7
GridLayout form = new GridLayout(2,2) {
TextField firstName = new TextField("First name");
TextField lastName = new TextField("Last name");
TextField salary = new TextField("Salary");
DateField birthDate = new DateField("Birth date");
{
birthDate.setResolution(Resolution.DAY);
setSpacing(true);
addComponent(firstName);
addComponent(lastName);
addComponent(birthDate);
addComponent(salary);
}
};
BeanFieldGroup<Employee> fieldGroup = new BeanFieldGroup<Employee>(Employee.class);
fieldGroup.bindMemberFields(form);
fieldGroup.setItemDataSource(new BeanItem<Employee>(employee));
80. public class Person {
@Size(min = 5, max = 50)
private String name;
@Min(0)
@Max(100)
private int age;
// + constructor + setters + getters
}
82. final TextField textField = new TextField("Name");
textField.setConverter(new StringToNameConverter());
// ....
Name name = (Name) textField.getConvertedValue();
83. public class StringToNameConverter implements Converter<String, Name> {
public Name convertToModel(String text, Locale locale)
throws ConversionException {
// do the conversion
}
public String convertToPresentation(Name name, Locale locale)
throws ConversionException {
// do the conversion
}
public Class<Name> getModelType() {
return Name.class;
}
public Class<String> getPresentationType() {
return String.class;
}
}
89. Publish API from Java
getPage().getJavaScript().addCallback("myCallback",
new JavaScriptCallback() {
public void call(JSONArray arguments) throws JSONException {
// Do something with the arguments
}
});
Use from JavaScript
window.myCallback('foo', 100);
90. Widget implementation in JavaScript
window.com_example_MyWidget = function() {
var element = $(this.getWidgetElement());
// Draw a plot for any server-side (plot data) state change
this.onStateChange = function() {
$.plot(element, this.getState().series, {grid: {clickable: true}});
}
// Communicate local events back to server-side component
element.bind('plotclick', function(event, point, item) {
if (item) {
var onPlotClick = this.getCallback("plotClick");
onPlotClick(item.seriesIndex, item.dataIndex);
}
});
}
91. Server-side Java API for Widget
public class MyWidget extends AbstractJavaScriptComponent {
public MyWidget() {
registerCallback("plotClick", new JavaScriptCallback() {
public void call(JSONArray arguments) throws JSONException {
// Do something with the event
}
});
}
public static class MyWidgetState extends ComponentState {
public List<List<List<Double>>> plotSeriesData =
new ArrayList<List<List<Double>>>();
// getters & setters
}
}
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