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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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81 lines
2.0 KiB
81 lines
2.0 KiB
from typing import Any, Dict, Protocol, Tuple
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from django.db import models
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from examples.models import Example
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from labels.models import Category, Relation, Span, TextLabel
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from projects.models import Project
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DATA = "data"
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class ExportedExampleManager(models.Manager):
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def confirmed(self, project: Project, user=None):
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if project.collaborative_annotation:
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return self.filter(project=project).exclude(states=None)
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else:
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assert user is not None
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return self.filter(project=project, states__confirmed_by=user)
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class ExportedExample(Example):
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objects = ExportedExampleManager()
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def to_dict(self, is_text_project=True) -> Dict[str, Any]:
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return {"id": self.id, DATA: self.text if is_text_project else self.upload_name, **self.meta}
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class Meta:
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proxy = True
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class ExportedLabel(Protocol):
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objects: models.Manager
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def to_dict(self) -> Dict[str, Any]:
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raise NotImplementedError("Please implement this method in the subclass.")
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def to_string(self) -> str:
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raise NotImplementedError("Please implement this method in the subclass.")
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def to_tuple(self) -> Tuple:
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raise NotImplementedError("Please implement this method in the subclass.")
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class ExportedCategory(Category):
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def to_string(self) -> str:
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return self.label.text
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class Meta:
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proxy = True
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class ExportedSpan(Span):
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def to_dict(self):
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return {
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"id": self.id,
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"label": self.label.text,
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"start_offset": self.start_offset,
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"end_offset": self.end_offset,
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}
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def to_tuple(self):
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return self.start_offset, self.end_offset, self.label.text
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class Meta:
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proxy = True
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class ExportedRelation(Relation):
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def to_dict(self):
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return {"id": self.id, "from_id": self.from_id.id, "to_id": self.to_id.id, "type": self.type.text}
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class Meta:
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proxy = True
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class ExportedText(TextLabel):
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def to_string(self) -> str:
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return self.text
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class Meta:
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proxy = True
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