Input configuration file uses a YAML hierarchical data structure.
every node of this data structure is passed to a Configurator
responsible
to apply the adequate configuration on Jenkins live instance.
A Configurator
is managing a specific Jenkins Component, and as such knows
about data this component exposes to end-user for configuration.
It has:
- a
name
to match a YAML entry, - a
target
component type - a
describe
method to document the attributes the target component exposes to configuration - a
configure
method to configure the target component
From a yaml node with associated Configurator
, configuration-as-code will handle every
child node in YAML structure based on current node's Attribute
s, as described by the Configurator
.
Root elements are identified by YAML entry name, and a matching
RootElementConfigurator
is selected.
RootElementConfigurator
is a special interface used to identify a Configurator
which manages a top level
configuration element in the yaml document.
configuration-as-code do provide a custom RootElementConfigurator
for jenkins
root entry in yaml document,
as well as generic RootElementConfigurator
s to model global configuration categories.
Configurator do document the target component by implementing describe
method. This one do returl a set
of Attribute
s
to document both name AND type for a configurable attribute.
We don't want to expose the whole Jenkins Java API to configuration-as-code. Many components do define setter methods for technical reasons or to support backward compatibility. So configuration-as-code do exclude :
- setter methods marked as
@Deprecated
- setter methods marked as
@Restricted
Attribute also is responsible to document the target component type. We use Java reflexion to extract this information from Java API, including parameterized types.
As a resume, a component which exposes a method like :
public void setFoo(List<Foo`> foos) { ... }
will be detected as Attribute named foo
with target type Foo
with multiple values expected.
Configurator also has to implement the configure
method to process yaml content and instantiate or configure
target component. The actual mechanism depends on the target. Configuration-as-Code do provide generic
mechanisms which cover most Jenkins components.
This generic mechanism assumes Jenkins core components and plugins do follow some conventions, but custom "glue-code" can also be provided as a (temporary) workaround, or to expose a configuration model which doesn't reflect the internal data model, but better matches the end-user experience.
A typical sample for this scenario is credentials-plugin.
CredentialsRootConfigurator
do expose a simplified configuration API for system
credentials store, which is hardly configurable
using the other general purpose configuration-as-code component due to internal design of this plugin.
As we want to reflect web UI user experience, relying on the same configuration mechanisms as the web UI is a natural approach.
org.jenkinsci.plugins.casc.impl.configurators.DataBoundConfigurator
can configure arbitrary
jenkins component to rely on DataBoundConstructor
and DataBoundSetter
s for UI data-binding. It uses same attributes names as
the web UI, which are expected to be human friendly.
When, for some technical or legacy reasons, technical attribute name isn't user friendly, we also support
@Symbol
annotation on setter to offer a better user-experience.
org.jenkinsci.plugins.casc.DescriptorRootElementConfigurator
can configure
global configuration for Descriptors, to mimic the global.jelly
UI exposed
to end user on the web UI.
Jenkins has hundreds Descriptors, most of them for internal technical reasons,
so only the ones to have a global
view are accessible from configuration-as-code.
For Descriptors to work well with configuration-as-code, they need to follow some design best practices in terms of data binding. This is not such a common thing, so we expect this will require some evangelism on plugin developers.
As a short terms workaround, a custom Configurator
glue-code implementation can be implemented.
Initial secrets are handled by the concrete implementations of the SecretSource. In order to implement a new
secret source, subclass SecretSource
by extending it, and mark the new class with the @Extension
annotation.