In Asciidoc markup we can include or exclude text based on the existence of document attributes or based on the value of a document attribute. Therefore we use the macros ifdef
, ifndef
and ifeval
. If we want to include some content if the document attribute sample is set we can use the following syntax:
ifdef::sample[Content is shown when sample attribute is set]
ifdef::sample[]
Content is shown when sample attribute is set
endif::sample[]
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In a previous post we learned how to include partial content from included files. We needed to enclose the content we want to include between start and end tags and reference those tags in our documentation markup. But Andres Almiray already mentioned in a tweet we can use line numbers as well:
@marcovermeulen @rfletcherew @mrhaki you can also use -1 in the include range, like this https://raw.githubusercontent.com/griffon/griffon/master/docs/griffon-guide/src/asciidoc/appendix-sample-applications.adoc
— Andres Almiray (@aalmiray) June 6, 2014
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Bintray JCenter is the next generation (Maven) repository. The repository is already a superset of Maven Central, so it can be used as a drop-in replacement for Maven Central. To use Bintray JCenter we only use jcenter()
in our repositories
configuration block in BuildConfig.groovy
. This is the same as we would use in a Gradle build.
// File: grails-app/conf/BuildConfig.groovy
...
repositories {
...
// Configure Bintray JCenter as repo.
jcenter()
...
}
...
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In a previous post we saw that we can use Spring's Java configuration feature to load beans in our Grails application. We can use the @Profile
annotation to conditionally load beans based on the currently active Spring profile. We can for example use the Java system property spring.profiles.active
when we start the Grails application to make a profile active. But wouldn't it be nice if we could use the Grails environment setting to conditionally load beans from a Java configuration? As it turns out Grails already set the current Grails environment name as the active profile for the Grails application. So we can simply use @Profile
in our configuration or component classes, like in a non-Grails Spring application.
We can use the @Profile
annotation in a Spring Java configuration class. The following sample shows different values for the @Profile
annotation. The annotation is applied to methods in the sample code, but can also be applied to a class.
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A Grails application uses Spring under the hood, which means we can also use all of Spring's features in a Grails application. For example we can use the Spring Java configuration feature with our Grails application. The Java configuration feature allows us to write a Java or Groovy class to define beans for our application. Of course in Grails we have the nice bean builder syntax when we define beans in the grails-app/conf/spring/resources.groovy
file, but maybe we must include a Java configuration from an external library or we just want to write a configuration class ourselves.
This post is very much inspired by this blog post by Andres Steingress.
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I am frequently asked by colleagues for advice on how to be a good Scrum Master. I will discuss some of the tips I share in a couple of blog posts. First of all I do like to state that I believe it's best to have a Scrum Master that is able to get his hands dirty in the activities of the team (i.e. coding, analyzing, designing, testing etc.). It will enable him/her to engage and coach at more levels than just overall process. In my opinion one of the most important things a Scrum Master has to do is to make things transparant for the whole team. Now this seems like very simple advice, and it is. However, when you are in the middle of a sprint and all kinds of (potential) impediments are making successfully reaching the sprint goal harder and harder, the danger of losing transparency always pops up. Here are three practical tips:
- Is it clear for everybody what we as a team should focus on right now?
- Is everybody focussing on the things that we should focus on right now?
- Are we going to reach our sprint goal?
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NOTE: Just released version 0.3 of ngImprovedTesting with lots of bug fixes.
Check out this blog post or the README of the GitHub repo for more info.
Being able to easily test your application is one of the most powerful features that AngularJS offers. All the services, controllers, filters even directives you develop can be fully (unit) tested. However the learning curve for writing (proper) unit tests tends to be quite steep. This is mainly because AngularJS doesn't really offer any high level API's to ease the unit testing. Instead you are forced to use the same (low level) services that AngularJS uses internally. That means you have to gain in dept knowledge about the internals of $controller, when to $digest and how to use $provide in order to mock these services. Especially mocking out a dependency of controller, filter or another service is too cumbersome. This blog will show how you would normally create mocks in AngularJS, why its troublesome and finally introduces the new ngImprovedTesting library that makes mock testing much easier.
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Sometimes we want to support in our RESTful API a different level of detail in the output for the same resource. For example a default output with the basic fields and a more detailed output with all fields for a resource. The client of our API can then choose if the default or detailed output is needed. One of the ways to implement this in Grails is using converter named configurations.
Grails converters, like JSON
and XML
, support named configurations. First we need to register a named configuration with the converter. Then we can invoke the use
method of the converter with the name of the configuration and a closure with statements to generate output. The code in the closure is executed in the context of the named configuration.
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In Grails we can apply the @Resource
AST (Abstract Syntax Tree) annotation to a domain class. Grails will generate a complete new controller which by default extends grails.rest.RestfulController
. We can use our own controller class that will be extended by the @Resource
transformation. For example we might want to disable the delete
action, but still want to use the @Resource
transformation. We simply write a new RestfulController
implementation and use the superClass
attribute for the annotation to assign our custom controller as the value.
First we write a new RestfulController
and we override the delete
action. We return a HTTP status code 405 Method not allowed:
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We can write a RESTful application with Grails and define our API in different ways. One of them is to subclass the grails.rest.RestfulController
. The RestfulController
already contains a lot of useful methods to work with resources. For example all CRUD methods (save/show/update/delete
) are available and are mapped to the correct HTTP verbs using a URL mapping with the resource(s)
attribute.
We can define which content types are supported with the static variable responseFormats
in our controller. The variable should be a list of String
values with the supported formats. The list of supported formats applies to all methods in our controller. The names of the formats are defined in the configuration property grails.mime.types
. We can also use a Map
notation with the supportedFormats
variable. The key of the map is the method name and the value is a list of formats.
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Especially when we use Grails to create a RESTful API we want to enable the request header Accept
, so Grails can do content negotiation based on the value in the header. For example we could use the request header Accept: application/json
to get a JSON response. Grails will look at the boolean
configuration property grails.mime.use.accept.header
to see if the Accept
header must be parsed. The default value is true
so the Accept
header is used. But there is another property which determines if the Accept
header is used: grails.mime.disable.accept.header.userAgents
. The value must contain a list or a regular expression pattern of user agents which are ignored for the Accept
header. The default value is ~/(Gecko(?i)|WebKit(?i)|Presto(?i)|Trident(?i))/
. So for any request from these user agents, mostly our web browser, the Accept
header is ignored.
If we use REST web services test tools from our browser, for example Postman, then any Accept
header we set in the tool is ignored by Grails. We must change the value of the configuration property grails.mime.disable.accept.header.userAgents
to for example an empty list. Then we know for every request send to our Grails application, either from a web browser or command-line tool like curl, the Accept
header is interpreted by Grails.
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We can use data pipes to write data driven tests in Spock. A data pipe (<<
) is fed by a data provider. We can use Collection
objects as data provider, but also String
objects and any class that implements the Iterable
interface. We can write our own data provider class if we implement the Iterable
interface.
In the following sample code we want to test the female
property of the User
class. We have the class MultilineProvider
that implements the Iterable
interface. The provider class accepts a multiline String
value and returns the tokenized result of each line in each iteration.
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