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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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31 lines
1.4 KiB
31 lines
1.4 KiB
from django.db.models import Count, Q
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from django_filters.rest_framework import FilterSet, BooleanFilter
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from .models import Document
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class DocumentFilter(FilterSet):
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seq_annotations__isnull = BooleanFilter(field_name='seq_annotations', method='filter_annotations')
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doc_annotations__isnull = BooleanFilter(field_name='doc_annotations', method='filter_annotations')
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seq2seq_annotations__isnull = BooleanFilter(field_name='seq2seq_annotations', method='filter_annotations')
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speech2text_annotations__isnull = BooleanFilter(field_name='speech2text_annotations', method='filter_annotations')
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def filter_annotations(self, queryset, field_name, value):
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queryset = queryset.annotate(num_annotations=
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Count(field_name, filter=
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Q(**{ f"{field_name}__user": self.request.user}) | Q(project__collaborative_annotation=True)))
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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 = ('project', 'text', 'meta', 'created_at', 'updated_at',
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'doc_annotations__label__id', 'seq_annotations__label__id',
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'doc_annotations__isnull', 'seq_annotations__isnull', 'seq2seq_annotations__isnull',
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'speech2text_annotations__isnull')
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