Converter is an interface describing a Java class that can perform Object-to-String and String-to-Object conversions between model data objects and a String representation of those objects that is suitable for rendering.
Converter implementations must have a zero-arguments public constructor. In addition, if the Converter class wishes to have configuration property values saved and restored with the component tree, the implementation must also implement StateHolder.
Starting with version 1.2 of the specification, an exception to the above zero-arguments constructor requirement has been introduced. If a converter has a single argument constructor that takes a Class instance and the Class of the data to be converted is known at converter instantiation time, this constructor must be used to instantiate the converter instead of the zero-argument version. This enables the per-class conversion of Java enumerated types.
If any Converter implementation requires a java.util.Locale to perform its job, it must obtain that Locale from the UIViewRoot of the current FacesContext, unless the Converter maintains its own Locale as part of its state.
Convert the specified string value, which is associated with the specified UIComponent, into a model data object that is appropriate for being stored during the Apply Request Values phase of the request processing lifecycle.
Convert the specified model object value, which is associated with the specified UIComponent, into a String that is suitable for being included in the response generated during the Render Response phase of the request processing lifeycle.
The purpose of the Converter Pattern is to provide a generic, systematic way of bidirectional conversion between corresponding data types. This allows for a clean, decoupled implementation where types are unaware of each other. Additionally, the Converter pattern supports bidirectional collection mapping, minimizing boilerplate code.
In a real-world scenario, consider a library system that interacts with a third-party book database. The library uses an internal book format, while the third-party database uses a different format. By employing the Converter Pattern, a converter class can transform the third-party book data into the library's format and vice versa. This ensures seamless integration without altering the internal structures of either system.
In applications, it's common for the database layer to have entities that need mapping to DTOs (Data Transfer Objects) for business logic. This mapping often involves many classes, necessitating a generic solution.
Above all, the biggest problem is that there are many organizations unwilling to change. Creating a Kotlin-to-Java converter will surely make it easier to work with them. What do you think? I am not sure if I overestimate Jetbrains, but I think for Jetbrains to create something like that is basically easy. It is the company that creates Intellij and Kotlin that we are talking about.
There is not really a kotlin to java converter yet, but one thing you can do is compile your kotlin code to jvm byte-code and then run a java decompiler. The code you get needs some cleaning up to be usable, but I guess it is a start.
I think the biggest reason I have found so far is that in any team, there always exist rebellious members who always wanted to tried something new. Like in my team, our code base is completely in Java and the leader and vice-leader have no intention of moving to Kotlin, but I and my colleague, the younger members, both learn Kotlin ourselves and want to tried it. The team leaders are very open-minded, so they allowed us to use in a new project, but for the existing projects, we still MUST use Java. Even seeing mixed codes and the over complicated maven pom files makes my boss uncomfortable.
Another reason is that there are many AI research competitions (GVGAI for example) whose requirement is Java. The organizers are great people but they are also old people who are unwilling to change to a new technology. As participants, I and other students must follow the rule and continue working in Java, then when we graduate and get old, we will see no reason switching to a new technology, then the cycle repeats.
The only thing that does not work is decompiling the file, that contains multiple classes, Java does not allow it, you need to split them manually, as well as clean up some additiona annotations. If it is not the case, you are probably doing something wrong.
Just wonder if my boss was thinking the same about me . When I showed him the Kotlin code, I actually had the same idea of decompiling to Java later myself, but it was good that he accepted Kotlin right away.
How much effort do you think would be required to build a compiler that parses bytecode generated by the Kotlin compiler, understands all Kotlin constructs and standard library semantics, and outputs Java source code that does not depend on anything related to Kotlin: person-weeks, person-months, person-years? Do you think that a Kotlin-bytecode-to-Java compiler would be the best project to spent that effort on?
What if the Kotlin compiler team improves the compiler and the resulting bytecode changes? Or what if the standard library is extended? A lot of changes to Kotlin would also require work to be done by the Kotlin-bytecode-to-Java compiler team.
Regradless of how much effort it would take to create a Kotlin-to-Java converter, creating such a project will run counter to the goals of JetBrains with regard to spreading the adoption of Kotlin, and therefore we have no plan to build it (or to improve the existing Java bytecode decompiler in IntelliJ IDEA so that it would handle Kotlin-generated bytecode better).
The following are examples of code conversion from C to Java using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
By default, a table schema provides converters for many common Java types through a default implementation of the AttributeConverterProvider interface. You can change the overall default behavior with a custom AttributeConverterProvider implementation. You can also change the converter for a single attribute.
Note that if you supply your own chain of attribute converter providers, you will override the default converter provider, DefaultAttributeConverterProvider. If you want to use the functionality of the DefaultAttributeConverterProvider, you must include it in the chain.
It's also possible to annotate the bean with an empty array . This disables the use of any attribute converter providers, including the default. In this case all attributes that are to be mapped must have their own attribute converter.
To override the way a single attribute is mapped, supply an AttributeConverter for the attribute. This addition overrides any converters provided by AttributeConverterProviders in the table schema. This adds a custom converter for only that attribute. Other attributes, even those of the same type, won't use that converter unless it is explicitly specified for those other attributes.
I saw a post referencing sdk-java/PayloadConverter.java at master temporalio/sdk-java GitHub and this sdk-java/DefaultDataConverter.java at 45de2dc97486f38b57d5320eb9fdd04e098bd6f0 temporalio/sdk-java GitHub, but its not clear how the specific type is registered to a specific converter payload.
Exception in thread "main" java.lang.NoClassDefFoundError: com/opensymphony/util/TextUtils
at com.atlassian.renderer.wysiwyg.converter.DefaultWysiwygConverter ...
Should i add some additional dependencies?
Thanks @paul-nelson-baker . Your Code Example work fine but, when i build my plugin for Jira and upload it to Jira, Jira says that my Plugin modules cant get activated. That happend only with the renderer dependency. Does anybody have the same problem or a solution for this? Thanks
This API is used by Camel when it converts an object from one type to another. However if you pay attention then this API only has the result type in the contract. The input type is inferred from the value parameter.
However often you would not work directly with the TypeConverterRegistry or TypeConverter APIs in Camel; as type conversion are often implicit in use where you would just declare the result type; and Camel takes care of this.
In Camel, all the official Camel components, come with source code generated TypeConverter (via camel-component-maven-plugin) that allows Camel to load these converters very quickly, and invoke these type converters at runtime via quick Java method invocations (no reflection overhead).
This is from camel-core where the IOConverter class has a number of converters (only 1 shown). The method toInputStream is annotated with @Converter which then becomes a type converter that can convert from File to InputStream.
Camel searches the classpath for a file called META-INF/services/org/apache/camel/TypeConverterLoader which lists all type converter loader classes. These are automatically generated by the Camel Component Package Plugin. These loader classes will load the type converters into the Camel type converter registry and invoke them in a fast way using standard Java method calls.
In Camel 3.7 we optimized the type converter system for optimal performance when using the built-in converters. This was done by bulking together all the converters in the same Maven module into a single class. The class has a single convert method where all the supported converters are available and discovered in a fast way using Java primitives.
To enable this then set generateBulkLoader=true in the class @Converter annotation. You should do this for all the converter classes within the same Maven artifact. Then they will be bulked together into a single class.
the order of the @Converter methods matters. If you have multiple @Converter methods that accept as from type types which are from the same class hierarchy then put the methods first that are the most concrete.
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