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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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329 lines
10 KiB
329 lines
10 KiB
from auto_labeling_pipeline.models import RequestModelFactory
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from django.conf import settings
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from django.contrib.auth import get_user_model
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from django.shortcuts import get_object_or_404
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from rest_framework import serializers
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from rest_framework.exceptions import ValidationError
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from rest_polymorphic.serializers import PolymorphicSerializer
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from .models import (DOCUMENT_CLASSIFICATION, IMAGE_CLASSIFICATION, SEQ2SEQ,
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SEQUENCE_LABELING, SPEECH2TEXT, AutoLabelingConfig,
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Category, Comment, Example, ImageClassificationProject,
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Label, Project, Role, RoleMapping, Seq2seqProject,
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SequenceLabelingProject, Span, Speech2textProject, Tag,
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TextClassificationProject, TextLabel)
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class UserSerializer(serializers.ModelSerializer):
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class Meta:
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model = get_user_model()
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fields = ('id', 'username', 'is_superuser')
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class LabelSerializer(serializers.ModelSerializer):
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def validate(self, attrs):
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prefix_key = attrs.get('prefix_key')
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suffix_key = attrs.get('suffix_key')
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# In the case of user don't set any shortcut key.
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if prefix_key is None and suffix_key is None:
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return super().validate(attrs)
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# Don't allow shortcut key not to have a suffix key.
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if prefix_key and not suffix_key:
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raise ValidationError('Shortcut key may not have a suffix key.')
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# Don't allow to save same shortcut key when prefix_key is null.
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try:
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context = self.context['request'].parser_context
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project_id = context['kwargs']['project_id']
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label_id = context['kwargs'].get('label_id')
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except (AttributeError, KeyError):
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pass # unit tests don't always have the correct context set up
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else:
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conflicting_labels = Label.objects.filter(
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suffix_key=suffix_key,
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prefix_key=prefix_key,
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project=project_id,
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)
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if label_id is not None:
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conflicting_labels = conflicting_labels.exclude(id=label_id)
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if conflicting_labels.exists():
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raise ValidationError('Duplicate shortcut key.')
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return super().validate(attrs)
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class Meta:
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model = Label
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fields = ('id', 'text', 'prefix_key', 'suffix_key', 'background_color', 'text_color')
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class CommentSerializer(serializers.ModelSerializer):
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class Meta:
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model = Comment
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fields = ('id', 'user', 'username', 'example', 'text', 'created_at', )
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read_only_fields = ('user', 'example')
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class TagSerializer(serializers.ModelSerializer):
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class Meta:
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model = Tag
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fields = ('id', 'project', 'text', )
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read_only_fields = ('id', 'project')
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class ExampleSerializer(serializers.ModelSerializer):
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annotations = serializers.SerializerMethodField()
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annotation_approver = serializers.SerializerMethodField()
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def get_annotations(self, instance):
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request = self.context.get('request')
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project = instance.project
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model = project.get_annotation_class()
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serializer = get_annotation_serializer(task=project.project_type)
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annotations = model.objects.filter(example=instance.id)
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if request and not project.collaborative_annotation:
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annotations = annotations.filter(user=request.user)
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serializer = serializer(annotations, many=True)
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return serializer.data
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@classmethod
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def get_annotation_approver(cls, instance):
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approver = instance.annotations_approved_by
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return approver.username if approver else None
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class Meta:
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model = Example
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fields = [
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'id',
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'filename',
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'annotations',
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'meta',
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'annotation_approver',
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'comment_count',
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'text'
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]
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read_only_fields = ['filename']
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class ApproverSerializer(ExampleSerializer):
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class Meta:
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model = Example
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fields = ('id', 'annotation_approver')
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class ProjectSerializer(serializers.ModelSerializer):
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current_users_role = serializers.SerializerMethodField()
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tags = TagSerializer(many=True, required=False)
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def get_current_users_role(self, instance):
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role_abstractor = {
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"is_project_admin": settings.ROLE_PROJECT_ADMIN,
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"is_annotator": settings.ROLE_ANNOTATOR,
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"is_annotation_approver": settings.ROLE_ANNOTATION_APPROVER,
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}
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queryset = RoleMapping.objects.values("role_id__name")
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if queryset:
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users_role = get_object_or_404(
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queryset, project=instance.id, user=self.context.get("request").user.id
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)
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for key, val in role_abstractor.items():
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role_abstractor[key] = users_role["role_id__name"] == val
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return role_abstractor
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class Meta:
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model = Project
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fields = (
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'id',
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'name',
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'description',
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'guideline',
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'users',
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'current_users_role',
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'project_type',
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'updated_at',
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'random_order',
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'collaborative_annotation',
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'single_class_classification',
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'tags'
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)
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read_only_fields = (
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'updated_at',
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'users',
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'current_users_role',
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'tags'
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)
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class TextClassificationProjectSerializer(ProjectSerializer):
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class Meta(ProjectSerializer.Meta):
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model = TextClassificationProject
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class SequenceLabelingProjectSerializer(ProjectSerializer):
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class Meta(ProjectSerializer.Meta):
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model = SequenceLabelingProject
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class Seq2seqProjectSerializer(ProjectSerializer):
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class Meta(ProjectSerializer.Meta):
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model = Seq2seqProject
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class Speech2textProjectSerializer(ProjectSerializer):
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class Meta(ProjectSerializer.Meta):
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model = Speech2textProject
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class ImageClassificationProjectSerializer(ProjectSerializer):
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class Meta(ProjectSerializer.Meta):
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model = ImageClassificationProject
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class ProjectPolymorphicSerializer(PolymorphicSerializer):
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model_serializer_mapping = {
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Project: ProjectSerializer,
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**{
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cls.Meta.model: cls for cls in ProjectSerializer.__subclasses__()
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}
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}
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class CategorySerializer(serializers.ModelSerializer):
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label = serializers.PrimaryKeyRelatedField(queryset=Label.objects.all())
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = Category
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fields = (
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'id',
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'prob',
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'user',
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'example',
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'created_at',
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'updated_at',
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'label',
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)
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read_only_fields = ('user',)
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class SpanSerializer(serializers.ModelSerializer):
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label = serializers.PrimaryKeyRelatedField(queryset=Label.objects.all())
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = Span
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fields = (
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'id',
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'prob',
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'user',
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'example',
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'created_at',
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'updated_at',
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'label',
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'start_offset',
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'end_offset',
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)
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read_only_fields = ('user',)
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class TextLabelSerializer(serializers.ModelSerializer):
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = TextLabel
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fields = (
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'id',
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'prob',
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'user',
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'example',
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'created_at',
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'updated_at',
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'text',
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)
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read_only_fields = ('user',)
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class RoleSerializer(serializers.ModelSerializer):
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class Meta:
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model = Role
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fields = ('id', 'name')
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class RoleMappingSerializer(serializers.ModelSerializer):
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username = serializers.SerializerMethodField()
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rolename = serializers.SerializerMethodField()
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@classmethod
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def get_username(cls, instance):
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user = instance.user
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return user.username if user else None
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@classmethod
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def get_rolename(cls, instance):
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role = instance.role
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return role.name if role else None
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class Meta:
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model = RoleMapping
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fields = ('id', 'user', 'role', 'username', 'rolename')
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class AutoLabelingConfigSerializer(serializers.ModelSerializer):
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class Meta:
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model = AutoLabelingConfig
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fields = ('id', 'model_name', 'model_attrs', 'template', 'label_mapping', 'default')
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read_only_fields = ('created_at', 'updated_at')
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def validate_model_name(self, value):
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try:
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RequestModelFactory.find(value)
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except NameError:
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raise serializers.ValidationError(f'The specified model name {value} does not exist.')
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return value
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def valid_label_mapping(self, value):
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if isinstance(value, dict):
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return value
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else:
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raise serializers.ValidationError(f'The {value} is not a dictionary. Please specify it as a dictionary.')
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def validate(self, data):
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try:
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RequestModelFactory.create(data['model_name'], data['model_attrs'])
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except Exception:
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model = RequestModelFactory.find(data['model_name'])
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schema = model.schema()
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required_fields = ', '.join(schema['required']) if 'required' in schema else ''
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raise serializers.ValidationError(
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'The attributes does not match the model.'
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'You need to correctly specify the required fields: {}'.format(required_fields)
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)
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return data
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def get_annotation_serializer(task: str):
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mapping = {
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DOCUMENT_CLASSIFICATION: CategorySerializer,
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SEQUENCE_LABELING: SpanSerializer,
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SEQ2SEQ: TextLabelSerializer,
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SPEECH2TEXT: TextLabelSerializer,
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IMAGE_CLASSIFICATION: CategorySerializer,
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}
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try:
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return mapping[task]
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except KeyError:
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raise ValueError(f'{task} is not implemented.')
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