mirror of
https://github.com/netbox-community/netbox.git
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178 lines
6.6 KiB
Python
178 lines
6.6 KiB
Python
from django.contrib.contenttypes.fields import GenericForeignKey
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from django.core.exceptions import (
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FieldDoesNotExist, FieldError, MultipleObjectsReturned, ObjectDoesNotExist, ValidationError,
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)
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from django.db.models.fields.related import ManyToOneRel, RelatedField
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from django.urls import reverse
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from django.utils.module_loading import import_string
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from django.utils.translation import gettext_lazy as _
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from rest_framework.serializers import Serializer
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from rest_framework.views import get_view_name as drf_get_view_name
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from extras.constants import HTTP_CONTENT_TYPE_JSON
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from netbox.api.exceptions import GraphQLTypeNotFound, SerializerNotFound
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from netbox.api.fields import RelatedObjectCountField
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from .query import count_related, dict_to_filter_params
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from .string import title
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__all__ = (
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'get_annotations_for_serializer',
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'get_graphql_type_for_model',
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'get_prefetches_for_serializer',
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'get_related_object_by_attrs',
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'get_serializer_for_model',
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'get_view_name',
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'is_api_request',
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)
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def get_serializer_for_model(model, prefix=''):
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"""
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Return the appropriate REST API serializer for the given model.
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"""
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app_label, model_name = model._meta.label.split('.')
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serializer_name = f'{app_label}.api.serializers.{prefix}{model_name}Serializer'
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try:
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return import_string(serializer_name)
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except ImportError:
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raise SerializerNotFound(
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f"Could not determine serializer for {app_label}.{model_name} with prefix '{prefix}'"
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)
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def get_graphql_type_for_model(model):
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"""
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Return the GraphQL type class for the given model.
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"""
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app_label, model_name = model._meta.label.split('.')
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class_name = f'{app_label}.graphql.types.{model_name}Type'
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try:
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return import_string(class_name)
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except ImportError:
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raise GraphQLTypeNotFound(f"Could not find GraphQL type for {app_label}.{model_name}")
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def is_api_request(request):
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"""
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Return True of the request is being made via the REST API.
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"""
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api_path = reverse('api-root')
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return request.path_info.startswith(api_path) and request.content_type == HTTP_CONTENT_TYPE_JSON
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def get_view_name(view):
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"""
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Derive the view name from its associated model, if it has one. Fall back to DRF's built-in `get_view_name()`.
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This function is provided to DRF as its VIEW_NAME_FUNCTION.
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"""
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if hasattr(view, 'queryset'):
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# Derive the model name from the queryset.
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name = title(view.queryset.model._meta.verbose_name)
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if suffix := getattr(view, 'suffix', None):
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name = f'{name} {suffix}'
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return name
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# Fall back to DRF's default behavior
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return drf_get_view_name(view)
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def get_prefetches_for_serializer(serializer_class, fields_to_include=None):
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"""
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Compile and return a list of fields which should be prefetched on the queryset for a serializer.
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"""
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model = serializer_class.Meta.model
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# If fields are not specified, default to all
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if not fields_to_include:
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fields_to_include = serializer_class.Meta.fields
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prefetch_fields = []
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for field_name in fields_to_include:
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serializer_field = serializer_class._declared_fields.get(field_name)
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# Determine the name of the model field referenced by the serializer field
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model_field_name = field_name
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if serializer_field and serializer_field.source:
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model_field_name = serializer_field.source
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# If the serializer field does not map to a discrete model field, skip it.
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try:
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field = model._meta.get_field(model_field_name)
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if isinstance(field, (RelatedField, ManyToOneRel, GenericForeignKey)):
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prefetch_fields.append(field.name)
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except FieldDoesNotExist:
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continue
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# If this field is represented by a nested serializer, recurse to resolve prefetches
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# for the related object.
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if serializer_field:
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if issubclass(type(serializer_field), Serializer):
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# Determine which fields to prefetch for the nested object
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subfields = serializer_field.Meta.brief_fields if serializer_field.nested else None
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for subfield in get_prefetches_for_serializer(type(serializer_field), subfields):
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prefetch_fields.append(f'{field_name}__{subfield}')
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return prefetch_fields
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def get_annotations_for_serializer(serializer_class, fields_to_include=None):
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"""
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Return a mapping of field names to annotations to be applied to the queryset for a serializer.
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"""
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annotations = {}
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# If specific fields are not specified, default to all
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if not fields_to_include:
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fields_to_include = serializer_class.Meta.fields
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model = serializer_class.Meta.model
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for field_name, field in serializer_class._declared_fields.items():
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if field_name in fields_to_include and type(field) is RelatedObjectCountField:
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related_field = model._meta.get_field(field.relation).field
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annotations[field_name] = count_related(related_field.model, related_field.name)
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return annotations
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def get_related_object_by_attrs(queryset, attrs):
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"""
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Return an object identified by either a dictionary of attributes or its numeric primary key (ID). This is used
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for referencing related objects when creating/updating objects via the REST API.
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"""
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if attrs is None:
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return None
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# Dictionary of related object attributes
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if isinstance(attrs, dict):
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params = dict_to_filter_params(attrs)
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try:
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return queryset.get(**params)
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except ObjectDoesNotExist:
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raise ValidationError(
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_("Related object not found using the provided attributes: {params}").format(params=params))
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except MultipleObjectsReturned:
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raise ValidationError(
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_("Multiple objects match the provided attributes: {params}").format(params=params)
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)
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except FieldError as e:
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raise ValidationError(e)
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# Integer PK of related object
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try:
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# Cast as integer in case a PK was mistakenly sent as a string
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pk = int(attrs)
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except (TypeError, ValueError):
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raise ValidationError(
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_(
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"Related objects must be referenced by numeric ID or by dictionary of attributes. Received an "
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"unrecognized value: {value}"
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).format(value=attrs)
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)
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# Look up object by PK
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try:
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return queryset.get(pk=pk)
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except ObjectDoesNotExist:
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raise ValidationError(_("Related object not found using the provided numeric ID: {id}").format(id=pk))
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