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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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26 lines
1.1 KiB
26 lines
1.1 KiB
from django.db.models import Count
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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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def filter_annotations(self, queryset, field_name, value):
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queryset = queryset.annotate(num_annotations=Count(field_name))
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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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