Generate DSLs in Java using an annotation processor and combine them all together.
The name of the project is the literal spelling of DSL acronym.
This library is still in development. Use it at you own risk.
This library is based on Java 21.
The idea is to create DSLs for your application. You can annotate your interface with @Diesel
and
the annotation processor will generate the DSL with all the boilerplate code for you.
For example this interface:
import com.github.tonivade.diesel.Diesel;
@Diesel
public interface Console {
String readLine();
void writeLine(String line);
}
will be transformed into:
import com.github.tonivade.diesel.Program;
import com.github.tonivade.diesel.Result;
import javax.annotation.processing.Generated;
@Generated("com.github.tonivade.diesel.DieselAnnotationProcessor")
public sealed interface ConsoleDsl<T> extends Program.Dsl<Console, Void, T> {
record ReadLine() implements ConsoleDsl<String> {
}
record WriteLine(String line) implements ConsoleDsl<Void> {
}
static <S extends Console, E> Program<S, E, String> readLine() {
return (Program<S, E, String>) new ReadLine();
}
static <S extends Console, E> Program<S, E, Void> writeLine(String line) {
return (Program<S, E, Void>) new WriteLine(line);
}
@Override
default Result<Void, T> handle(Console state) {
var result = (T) switch (this) {
case ReadLine() -> state.readLine();
case WriteLine(var line) -> {
state.writeLine(line);
yield null;
}
};
return Result.success(result);
}
}
After that you could use the DSL inside a program:
import static ConsoleDsl.*;
public static void main(String... args) {
var program = writeLine("What's your name?")
.flatMap(_ -> readLine())
.flatMap(name -> writeLine("Hello " + name + "!"));
// output of the program:
// >> What's your name?
// << Toni
// >> Hello Toni!
program.eval(new Console() {
public void writeLine(String line) {
System.out.println(line);
}
public String readLine() {
return System.console().readLine();
}
});
}
Program
is the base of this library. It's pretty similar to a IO monad but with the ability to
extend with additional operations.
You can generate additional operations using the annotation processor. The generated code is based
on Program
and you will need to combine them to build your programs.
There are two basic combinator methods zip
(and the parallelized version called parZip
) and pipe
.
With zip
you can combine different operations, and with the result of each operation, generate a
result.
|Program1|---\
|Program2|----\
. ---> Result
. /
|ProgramN|---/
For example:
var program = zip(
program1,
program2,
program3,
(r1, r2, r3) -> new Result(r1, r2, r3)
);
There's a variant of zip
called parZip
. This variant will execute all operations in parallel using
an Executor
. It will wait until all the operations are completed and after that, the finisher will be
called.
var program = parZip(
program1,
program2,
program3,
(r1, r2, r3) -> new Result(r1, r2, r3),
executor
);
Pipe can be used to create a pipeline of operations, using the result of execute the first operation as input of the next operation. Finally the result will be the result of the execution of the last operation in the pipeline.
|Program1|-->|Program2|-->...|ProgramN|-->Result
For example:
var program = pipe(
program1,
r1 -> program2,
r2 -> program3
);
It's easy to create a retryable program just using the method retry
.
program.retry(3);
This code will retry tree times if the execution of the program fails.
It's possible to pass a second argument and configure a delay after each retry.
program.retry(3, Duration.ofSeconds(5));
It's easy to configure a program to repeat it self using repeat
.
program.repeat(3);
This code will repeat tree times.
It's possible to pass a second argument and configure a delay after each execution.
program.retry(3, Duration.ofSeconds(5));
Program
is declarative, so nothing is executed until eval
method is called.