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import os import shutil import uuid
from celery import shared_task from celery.utils.log import get_task_logger from django.conf import settings from django.shortcuts import get_object_or_404
from .pipeline.dataset import Dataset from .pipeline.factories import create_formatter, create_labels, create_writer from .pipeline.services import ExportApplicationService from data_export.models import ExportedExample from projects.models import Member, Project
logger = get_task_logger(__name__)
def create_collaborative_dataset(project: Project, dirpath: str, confirmed_only: bool, formatters, writer): is_text_project = project.is_text_project if confirmed_only: examples = ExportedExample.objects.confirmed(project) else: examples = ExportedExample.objects.filter(project=project) labels = create_labels(project, examples) dataset = Dataset(examples, labels, is_text_project)
service = ExportApplicationService(dataset, formatters, writer)
filepath = os.path.join(dirpath, f"all.{writer.extension}") service.export(filepath)
def create_individual_dataset(project: Project, dirpath: str, confirmed_only: bool, formatters, writer): is_text_project = project.is_text_project members = Member.objects.filter(project=project) for member in members: if confirmed_only: examples = ExportedExample.objects.confirmed(project, user=member.user) else: examples = ExportedExample.objects.filter(project=project) labels = create_labels(project, examples, member.user) dataset = Dataset(examples, labels, is_text_project)
service = ExportApplicationService(dataset, formatters, writer)
filepath = os.path.join(dirpath, f"{member.username}.{writer.extension}") service.export(filepath)
@shared_task def export_dataset(project_id, file_format: str, confirmed_only=False): project = get_object_or_404(Project, pk=project_id) dirpath = os.path.join(settings.MEDIA_ROOT, str(uuid.uuid4())) os.makedirs(dirpath, exist_ok=True) formatters = create_formatter(project, file_format) writer = create_writer(file_format) if project.collaborative_annotation: create_collaborative_dataset(project, dirpath, confirmed_only, formatters, writer) else: create_individual_dataset(project, dirpath, confirmed_only, formatters, writer) zip_file = shutil.make_archive(dirpath, "zip", dirpath) shutil.rmtree(dirpath) return zip_file
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