Store feature flags directly on ObjectType model #1602

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MrUnknownDE · 2026-04-06T04:41:17+02:00

MrUnknownDE commented

2026-04-06 04:41:17 +02:00

Originally created by @jeremystretch on 7/21/2025

NetBox version

v4.3.4

Feature type

Change to existing functionality

Proposed functionality

Convert ObjectType from a proxy model to a concrete model inheriting from Django's native ContentType model, and add boolean fields to indicate the presence or absence of support for all well-known model features.

A draft of the updated model definition is below:

class ObjectType(ContentType):
    feature_bookmarks = models.BooleanField()
    feature_change_logging = models.BooleanField()
    feature_cloning = models.BooleanField()
    feature_contacts = models.BooleanField()
    feature_custom_fields = models.BooleanField()
    # ...

    # Retain the current manager
    objects = ObjectTypeManager()

    class Meta:
        verbose_name = _('object type')
        verbose_name_plural = _('object types')

The ObjectTypeManager will then be updated to query on these feature flags directly, rather than interrogating the in-memory registry to determine which features are supported for a model. The signature for querying ObjectTypes by feature within NetBox core and plugins will remain unchanged, e.g. ObjectType.objects.with_feature('event_rules') will still work as before.

The current, complex logic (below) constructs a query matching against all models listed in the registry as supporting a given feature:

q = Q()
for app_label, models in registry['model_features'][feature].items():
    q |= Q(app_label=app_label, model__in=models)
return self.get_queryset().filter(q)

This new approach simplifies the necessary query substantially:

field_name = f'feature_{feature}'
return self.get_queryset().filter(**{field_name: True})

Use case

Feature support for individual models is currently mapped in the application registry, which is compiled at initialization time and considered immutable. As the registry is maintained in isolation from other processes, this approach prohibits the dynamic creation of modifications of models at runtime in plugins, namely netbox-custom-objects.

Moving these feature flags from the in-memory registry to the database removes this limitation, as any new models or changes to existing models are immediately replicated to peer processes by way of updating the PostgreSQL database. This change also affords a much more performant means of querying models by feature, as we can now issue simple boolean queries and avoid complex queries based on app_label and model (name).

Database changes

Convert ObjectType to a concrete model, which will result in the creation of a new core_objecttype table
Add a boolean field on this model to represent each supported NetBox feature

External dependencies

N/A

*Originally created by @jeremystretch on 7/21/2025* ### NetBox version v4.3.4 ### Feature type Change to existing functionality ### Proposed functionality Convert ObjectType from a proxy model to a concrete model inheriting from Django's native ContentType model, and add boolean fields to indicate the presence or absence of support for all well-known [model features](https://netboxlabs.com/docs/netbox/plugins/development/models/#enabling-netbox-features). A draft of the updated model definition is below: ```python class ObjectType(ContentType): feature_bookmarks = models.BooleanField() feature_change_logging = models.BooleanField() feature_cloning = models.BooleanField() feature_contacts = models.BooleanField() feature_custom_fields = models.BooleanField() # ... # Retain the current manager objects = ObjectTypeManager() class Meta: verbose_name = _('object type') verbose_name_plural = _('object types') ``` The `ObjectTypeManager` will then be updated to query on these feature flags directly, rather than interrogating the in-memory registry to determine which features are supported for a model. The signature for querying ObjectTypes by feature within NetBox core and plugins will remain unchanged, e.g. `ObjectType.objects.with_feature('event_rules')` will still work as before. The current, complex logic (below) constructs a query matching against _all_ models listed in the registry as supporting a given feature: ```python q = Q() for app_label, models in registry['model_features'][feature].items(): q |= Q(app_label=app_label, model__in=models) return self.get_queryset().filter(q) ``` This new approach simplifies the necessary query substantially: ```python field_name = f'feature_{feature}' return self.get_queryset().filter(**{field_name: True}) ``` ### Use case Feature support for individual models is currently mapped in the application registry, which is compiled at initialization time and considered immutable. As the registry is maintained in isolation from other processes, this approach prohibits the dynamic creation of modifications of models at runtime in plugins, namely [netbox-custom-objects](https://github.com/netboxlabs/netbox-custom-objects). Moving these feature flags from the in-memory registry to the database removes this limitation, as any new models or changes to existing models are immediately replicated to peer processes by way of updating the PostgreSQL database. This change also affords a much more performant means of querying models by feature, as we can now issue simple boolean queries and avoid complex queries based on `app_label` and `model` (name). ### Database changes - Convert ObjectType to a concrete model, which will result in the creation of a new `core_objecttype` table - Add a boolean field on this model to represent each supported NetBox feature ### External dependencies N/A

MrUnknownDE closed this issue

2026-04-06 04:41:17 +02:00

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20924-plugin-ui-components

21766-improve-test-coverage-for-sortable-table-columns

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feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature type: feature

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Reference: github/netbox#1602