fairdm.management.commands.generate_fake_data

Management command that generates fake data for development.

This command creates a complete hierarchy of fake data including projects, datasets, samples, and measurements. It uses polymorphic Sample and Measurement subclasses configured via the FAIRDM_FACTORIES setting.

Configuration: Add your custom factory classes to settings.py:

FAIRDM_FACTORIES = {
    "myapp.CustomSample": "myapp.factories.CustomSampleFactory",
    "myapp.SpecialMeasurement": "myapp.factories.SpecialMeasurementFactory",
}

The command will randomly use these factories to create polymorphic instances.
If no factories are configured, samples and/or measurements are skipped rather than
falling back to the base ``Sample``/``Measurement`` models - neither can be created
directly.

Usage: uv run python manage.py generate_fake_data uv run python manage.py generate_fake_data –projects 5 –datasets 3 uv run python manage.py generate_fake_data –clear

Module Contents

Classes

Command

Generate a hierarchy of fake projects, datasets, samples and measurements.

API

class Command(stdout=None, stderr=None, no_color=False, force_color=False)

Bases: django.core.management.base.BaseCommand

Generate a hierarchy of fake projects, datasets, samples and measurements.

Initialization

help

‘Generate fake data for development purposes’

add_arguments(parser)

Add the options that size the generated data.

handle(*args, **options)

Generate the requested data, clearing existing records first when asked.