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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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49 lines
1.6 KiB
49 lines
1.6 KiB
from collections import Counter
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from django.conf import settings
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from django.db.models import Count, Manager
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class AnnotationManager(Manager):
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def get_label_per_data(self, project):
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label_count = Counter()
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user_count = Counter()
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docs = project.documents.all()
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annotations = self.filter(document_id__in=docs.all())
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for d in annotations.values('label__text', 'user__username').annotate(Count('label'), Count('user')):
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label_count[d['label__text']] += d['label__count']
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user_count[d['user__username']] += d['user__count']
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return label_count, user_count
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class Seq2seqAnnotationManager(Manager):
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def get_label_per_data(self, project):
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label_count = Counter()
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user_count = Counter()
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docs = project.documents.all()
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annotations = self.filter(document_id__in=docs.all())
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for d in annotations.values('text', 'user__username').annotate(Count('text'), Count('user')):
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label_count[d['text']] += d['text__count']
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user_count[d['user__username']] += d['user__count']
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return label_count, user_count
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class RoleMappingManager(Manager):
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def can_update(self, project: int, mapping_id: int, rolename: str):
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queryset = self.filter(
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project=project, role__name=settings.ROLE_PROJECT_ADMIN
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)
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if queryset.count() > 1:
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return True
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else:
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mapping = queryset.first()
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if mapping.id == mapping_id and rolename != settings.ROLE_PROJECT_ADMIN:
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return False
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return True
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