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Mock DataObjects for SilverStripe

This module provides intelligent content generation functionality to all DataObjects. The object introspects its fields and assigns an example value based on the field type and the name of the field. It also provides a command line utility for generating mock data programatically as well as various UI features in the CMS to support the creating and populating DataObjects.

Installation

Installation via Composer is highly recommended, as this module has external dependencies.

Example

Result:

Implementation

You can use the features of the MockDataObjects module in many ways, including executable code, a command-line interface, and from within the CMS.

From the CMS

Adding mock children to a parent page:

Right click on the parent page and choose "Add mock children."

Choose options, and create

Adding items to a grid

Just click on "add mock data" and set your options.

Populating existing records

Click on "fill with mock data"

In the execution pipeline

As demonstrated above, the ->fill() method populates a DataObject with mock data. There are a few options you can pass to this method.

From the command line

Create 50 new records. Use existing files for file relationships.

Populate existing records with new data.

Add new records to the has_many relation on a given page.

Localisation

Mock data values are localised to the current locale as defined by .

Field name hooks

For generic database fields, such as Varchar, the mock data generator is informed by the field name in order to create more realistic data. These hooks are defined in the language file.

A comma-separated list of possible field names are mapped to an entity, so that a field named "EmailAddress" or "Email" creates a fake email address, and "Phone" or "Telephone" creates a fake phone number.

An example language file for French might look like this:

Model-independent data generation

Sometimes it is useful to generate mock data before the model has been created, such as when frontend development is happening before backend development. For that purpose, every DataObject comes with a method to access the fake data generator.

Cleaning up

Records of all mockdata creation are stored in the table, which maps a record ID to a class name. You can clean this table using the task . To clear all mock data, leave the class name argument null.

Be very careful about converting mock data records into authentic records, as this task will clean them up without knowing that you have populated them with valid data!

Troubleshooting

Just ring Uncle Cheese.