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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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48 lines
1.8 KiB
48 lines
1.8 KiB
import itertools
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from celery import shared_task
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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 .models import Document, Label, Project
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from .serializers import LabelSerializer, DocumentSerializer
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from .views.upload.factory import get_data_class, get_dataset_class, get_label_class
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from .views.upload.utils import append_field
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@shared_task
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def injest_data(user_id, project_id, filenames, format: str, **kwargs):
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project = get_object_or_404(Project, pk=project_id)
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user = get_object_or_404(get_user_model(), pk=user_id)
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data_class = get_data_class(project.project_type)
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dataset_class = get_dataset_class(format)
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label_class = get_label_class(project.project_type)
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dataset = dataset_class(
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filenames=filenames,
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label_class=label_class,
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data_class=data_class,
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**kwargs
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)
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annotation_serializer_class = project.get_annotation_serializer()
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for batch in dataset.batch(settings.IMPORT_BATCH_SIZE):
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data_serializer = DocumentSerializer(data=batch.data(), many=True)
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data_serializer.is_valid()
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data = data_serializer.save(project=project)
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label_serializer = LabelSerializer(data=batch.label(), many=True)
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label_serializer.is_valid()
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label_serializer.save(project=project)
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mapping = {label['text']: label['id'] for label in project.labels.values()}
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annotation = batch.annotation(mapping)
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for a, d in zip(annotation, data):
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append_field(a, document=d.id)
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annotation_serializer = annotation_serializer_class(
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data=list(itertools.chain(*annotation)),
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many=True
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)
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annotation_serializer.is_valid()
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annotation_serializer.save(user=user)
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return {'error': []}
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