XomegaJS Data Objects
Generator
The following table of contents provides an outline of the documentation for this generator.
1. Overview
Generates customizable presentation layer data objects that are used as data models for SPA Views Models. The generated data
objects are TypeScript classes based on XomegaJS Framework - a TypeScript
counterpart of our C# based Xomega Framework for client-side development.
You can add your customizations to a subclass of a generated data object, and implement any reusable
presentation logic there, such as custom validations, propagations and updates based on property change events, custom invocation
and handling of service operations including serialization to/from data contracts, etc.
The generator uses data object definitions in the Xomega model in order to generate the corresponding TypeScript classes. Those
definition consist of a data object declaration in the model, and a number of usage references in each model structure associated
with the data object.
Data Objects. In the declaration element you give data object a unique class name, and optionally specify
if this is a list object, and whether you need to customize it as illustrated below.
You can also add named child objects from the model to your data object declaration here using nested xfk:add-child
elements, as follows.
Operations. Once you declare a data object, you will need to add references to that object in the input,
output or standalone structures declared in the model, by adding corresponding xfk:add-to-object element under
the structure’s config element as shown below.
These references from the model structures will serve a dual purpose. On the one hand, all parameters from these structures
combined will form a set of data properties for the data object, which will be grouped by parameter name, so it’s important
that parameters with the same name have the same type in different structures. On the other hand, the operations that those
structures participate in as input or output will determine which service call methods will be generated on those data objects,
and whether the object’s properties will feed into the input and/or will be populated from the output of those service calls.
Oftentimes, input structures for REST-compliant operations will consist of some key fields (which will go into the URL parameters),
and the actual data in a separate child structure (which will go into the body of the request). In such cases, it is important
to add both the main input structure, and the child structure to the data object, to ensure that the service call method
is generated correctly on the data object.
Properties. The XomegaJS data properties that are used on the generated data objects are determined
based on the configuration of their types in the model. The types usually inherit such configurations from their base types,
but can override the data properties to use as needed. You need to specify the property TypeScript class and module on the
xfk:property element under the config element of the type, i.e. the same element as the one used for
specifying Xomega Framework properties, as illustrated below.
The module is specified in the tsModule attribute, and can be set to "xomega" for properties from the XomegaJS
framework, or to your custom module, if you use custom properties. The property class is specified in the tsClass
attribute, but can be omitted if it has the same name as the property from the Xomega Framework, in which case the value
from the class attribute will be used.
Note, that most of this setup of data objects in the model for standard CRUD and Read List operations can be easily added
automatically to the model by a special model enhancement CRUD generator.
1.2 Generator outputs
This generator creates TypeScript classes for XomegaJS-based data objects with all the data properties, child objects and
service call methods defined, and adds the generated classes to the specified project, which is usually a dedicated project
for the SPA client.
For data objects that are decorated with a customize attribute set to “true”, it also creates a subclass of the
generated object with a postfix Customized appended to the class name, if one does not exist yet. It can also nest the
customized class under the generated data object in the project, if so configured.
2. Configuration
The following sections describe configuration parameters used by the generator.
2.1 Generator parameters
The following table lists configuration parameters that are set as the generator’s properties.
| Parameter |
Value Example |
Description |
| Generator Name |
XomegaJS Data Objects
|
The name of the current configuration of the generator that will appear in the model project and the build output. |
| Folder |
Presentation Layer\SPA
|
Folder path to the generator inside the Model project. The folders are separated by a backslash (\). |
| Include In Build |
True
|
A flag indicating whether or not running this generator should be included in building of the model project. |
| Output |
| Nest Custom File |
True |
Whether or not to nest custom file under the auto-generated base file in the project. Applies only if both files are output
to the same directory.
|
| Add To Project |
../MySolution.Client.Spa /MySolution.Client.Spa.csproj |
Relative path to the project file to add the generated files to. The project will be reloaded every time you run the generator.
Leave it blank if you don't want generated files to be added to your project automatically.
|
2.2 Model configuration
Configuration parameters for the generator that need to be also accessible to other generators are specified in the Xomega
model in the xfk:data-objects-config element under the top level config element, which is conventionally
placed in the global_config.xom file. These parameters include the relative output paths for the generated and customized
TypeScript data objects, which may contain {Module} and {File} placeholders to output them by module and data object, as follows.
Note that this is different from most of the other generators, which specify the output paths as generator parameters
rather than in the model configuration. But, to be able to use the generated classes in other TypeScript files requires
importing the file where the generated class is declared using a relative path to it, so the other generators that use
data objects, such as SPA Views, also need to know the path to them. You can omit the tsCustomPath attribute,
in which case the customized data objects will be output into the same folder as the generated data objects.
2.3 Common configurations
There expected to be just one configuration of this generator in the model, with the parameter values as illustrated above.
3. How to use the generator
The sections below provide some details on how to work with the generator.
3.1 Running the generator
You can run this generator either for the entire model, or for individual files by selecting them in the model project,
and running the generator from the context menu.
You can rerun the generator when you add new data objects or change existing data objects in the model, and also when you
change the structure of operations that the data objects are associated with. Normally, this will require re-running other
generators that depend on the same model elements, such as generators of UI views or service and data contracts as well
as the service implementations. Therefore, this generator should be included in the build of the model project in the
configuration, in order to allow to easily regenerate all data objects along with other artifacts.
3.2 Customizing the output
You should never edit generated data objects directly. This allows re-running the generator at any time without losing
your customizations.
To add your customizations, you should edit a subclass of the generated data object class that was added when you specified
the customize attribute on the data object.
3.3 Cleaning generator’s output
This generator supports cleaning either all generated data objects, or only the ones from the selected model files using
the Clean context menu for that generator. Normally, cleaning the generated files makes sense if you are planning to change
the output path for the generator. Also, it can be used as part of Regenerate action, which runs the Clean and then Generate
actions, when you have removed some of the data objects from the model, and want the generated classes deleted and removed
from the target project.
Note, that the customization subclasses that were generated for data objects with a customize attribute set to
“true” will not be cleaned during these operations to prevent any loss of custom code during accidental run of such actions.
Therefore, you may get compilation errors for those classes if you clean your data objects, and will need to delete them
manually as needed.