Writing documentation with Asciidoc is such a treat. We can add markers to our code where we want to explain something in our code. The markers have numbers and are enclosed in < and > brackets. The explanation for the markers follows a code listing in a callout list. Here we use the same marker and add extra text to explain the code. We can put the markers in comments in our code so we can use the markers in existing code.
Suppose we have the following piece of documentation where we add two markers (in comments) to some Groovy source code:
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In Grails we can add aliases for standard Grails commands with the alias command. For example we want to use another name for a command or combine a command with arguments to a single alias. With the following command we create a start-app alias for the standard run-app command:
$ grails alias start-app run-app
Alias start-app with value run-app configured
$
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Writing technical documentation with Asciidoc and Asciidoctor is so much fun. Especially the include macro makes inserting changing content, like source files, a breeze. We only need to maintain the original source file and changes will automatically appear in the generated documentation. We can include only a part of source file using tags. In the source file we add a comment with the following format tag::_tagName_[] to start the section. We end the section with end::_tagName_[]. Now in our Asciidoc document we can indicatie the tags we want to include with include::_sourceFile_[tags=_tagName_].
Suppose we have the following Groovy source file Sample.groovy. We want to include the method hello() in our technical documentation:
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Since Groovy 2.1 we can use a nice builder syntax to define customizers for a CompileConfiguration instance. We must use the static withConfig method of the class CompilerCustomizationBuilder in the package org.codehaus.groovy.control.customizers.builder. We pass a closure with the code to define and register the customizers. For all the different customizers like ImportCustomizer, SecureASTCustomizers and ASTTransformationCustomizer there is a nice compact syntax.
In the following sample we use this builder syntax to define different customizers for a CompileConfiguration instance:
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Running Groovy scripts with GroovyShell is easy. We can for example incorporate a Domain Specific Language (DSL) in our application where the DSL is expressed in Groovy code and executed by GroovyShell. To limit the constructs that can be used in the DSL (which is Groovy code) we can apply a SecureASTCustomizer to the GroovyShell configuration. With the SecureASTCustomizer the Abstract Syntax Tree (AST) is inspected, we cannot define runtime checks here. We can for example disallow the definition of closures and methods in the DSL script. Or we can limit the tokens to be used to just a plus or minus token. To have even more control we can implement the StatementChecker and ExpressionChecker interface to determine if a specific statement or expression is allowed or not.
In the following sample we first use the properties of the SecureASTCustomizer class to define what is possible and not within the script:
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The @ToString AST transformation has several parameters we can define to customize the generated code for the toString method. We have already seen some of the parameters in an earlier blog post, but in new Groovy releases some extra parameters were added.
For example we can leave out the package name of the class with the parameter includePackage. If we set the value to false the package name is not included:
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We can extend the integrate-with command in Grails to generate files for a custom IDE or build system. We must add a _Events.groovy file to our Grails projects and then write an implementation for the eventIntegrateWithStart event. Inside the event we must define a new closure with our code to generate files. The name of the closure must have the following pattern: binding.integrate_CustomIdentifier_. The value for CustomIdentifier can be used as an argument for the integrate-with command.
Suppose we want to extend integrate-with to generate a simple Sublime Text project file. First we create a template Sublime Text project file where we define folders for a Grails application. We create the folder src/ide-support/sublimetext and add the file grailsProject.sublimetext-project with the following contents:
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We can use the integrateWith command with Grails to generate for example IDE project files and build system files. We specify via an extra argument the type of files to be generated. We can use this command also to create a .gitignore file with some default settings for files to be ignored in Grails projects.
$ grails integrate-with --git
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The database plugin in IntelliJ IDEA is a useful tool to work with data in databases. As long as we got a JDBC driver to connect to the database we can configure a data source. And then we can run queries, inspect the contents of tables and change data with the database tool window. It is not uncommon to have multiple data sources, for example development and test environment databases, which will have the same tables. When we open the tables or run queries we don't have a visual feedback to see to which data source such a table belongs. To have a visual feedback we can colorize our data source. This means we assign a color to a data source and when we open a table from that data source the tab color in the editor window will have a different color than other tabs or the background color of the data source objects have a color.
To add a color to a data source we must open the database tool window and right click on a data source. We select the option Color Settings... from the popup window:
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In a previous post we learned about the Writable interface and how the GString implementation implements this interface. In Groovy we can also use a closure as an implementation of the Writable interface. The Closure class has the method asWritable() that will return a version of the closure with an implementation of the writeTo() method. The Writer object that is used as an argument for the writeTo() method will be passed as argument to the closure. The asWritable() method also adds a toString() implementation for the closure to return the result of a closure as a String.
In the following code we write a sample make() method. The make() method return a Writable closure. The closure is only executed when the writeTo() or toString() method is invoked.
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The Groovy API has the interface Writable. Classes that implement this interface are capable of writing their selves to a java.io.Writer object. The interface has one method writeTo() where the code is that writes the contents to a given Writer instance. Most implementations will also use the implementation of the writeTo() method in their toString() implementation.
The GString implementation in Groovy also implements the Writable interface. This means we can redirect the GString contents to some Writer instance if we want to. In the following code we use a FileWriter to write the contents of a GString to a file:
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To convert a byte[] array to a String we can simply use the new String(byte[]) constructor. But if the array contains non-printable bytes we don't get a good representation. In Groovy we can use the method encodeHex() to transform a byte[] array to a hex String value. The byte elements are converted to their hexadecimal equivalents.
final byte[] printable = [109, 114, 104, 97, 107, 105]
// array with non-printable bytes 6, 27 (ACK, ESC)
final byte[] nonprintable = [109, 114, 6, 27, 104, 97, 107, 105]
assert new String(printable) == 'mrhaki'
assert new String(nonprintable) != 'mr haki'
// encodeHex() returns a Writable
final Writable printableHex = printable.encodeHex()
assert printableHex.toString() == '6d7268616b69'
final nonprintableHex = nonprintable.encodeHex().toString()
assert nonprintableHex == '6d72061b68616b69'
// Convert back
assert nonprintableHex.decodeHex() == nonprintable
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