Search

Plugins can define and register their own models to extend NetBox's core search functionality. Typically, a plugin will include a file named search.py, which holds all search indexes for its models (see the example below).

# search.py
from netbox.search import SearchIndex
from .models import MyModel

class MyModelIndex(SearchIndex):
    model = MyModel
    fields = (
        ('name', 100),
        ('description', 500),
        ('comments', 5000),
    )

To register one or more indexes with NetBox, define a list named indexes at the end of this file:

indexes = [MyModelIndex]

Tip

The path to the list of search indexes can be modified by setting search_indexes in the PluginConfig instance.

SearchIndex

Base class for building search indexes.

Attributes:

Name	Type	Description
model		The model class for which this index is used.
category		The label of the group under which this indexer is categorized (for form field display). If none, the name of the model's app will be used.
fields		An iterable of two-tuples defining the model fields to be indexed and the weight associated with each.

get_field_type(instance, field_name) staticmethod

Return the data type of the specified model field.

get_field_value(instance, field_name) staticmethod

Return the value of the specified model field as a string.

to_cache(instance, custom_fields=None) classmethod

Return a list of ObjectFieldValue representing the instance fields to be cached.

Parameters:

Name	Type	Description	Default
instance		The instance being cached.	required
custom_fields		An iterable of CustomFields to include when caching the instance. If None, all custom fields defined for the model will be included. (This can also be provided during bulk caching to avoid looking up the available custom fields for each instance.)	None