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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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33 lines
1.2 KiB
33 lines
1.2 KiB
from django.db.models import Count, Q
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from django_filters.rest_framework import BooleanFilter, FilterSet
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from .models import Document
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class DocumentFilter(FilterSet):
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spans__isnull = BooleanFilter(field_name='spans', method='filter_annotations')
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categories__isnull = BooleanFilter(field_name='categories', method='filter_annotations')
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texts__isnull = BooleanFilter(field_name='texts', method='filter_annotations')
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def filter_annotations(self, queryset, field_name, value):
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queryset = queryset.annotate(num_annotations=Count(
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expression=field_name,
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filter=Q(**{f"{field_name}__user": self.request.user}) | Q(project__collaborative_annotation=True)
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)
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)
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should_have_annotations = not value
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if should_have_annotations:
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queryset = queryset.filter(num_annotations__gte=1)
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else:
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queryset = queryset.filter(num_annotations__lte=0)
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return queryset
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class Meta:
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model = Document
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fields = (
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'project', 'text', 'created_at', 'updated_at',
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'categories__label__id', 'spans__label__id',
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'categories__isnull', 'spans__isnull', 'texts__isnull'
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)
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