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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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161 lines
5.9 KiB
161 lines
5.9 KiB
from django.conf import settings
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from django.shortcuts import get_object_or_404, redirect
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from libcloud import DriverType, get_driver
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from libcloud.storage.types import (ContainerDoesNotExistError,
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ObjectDoesNotExistError)
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from rest_framework import status
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from rest_framework.exceptions import ParseError, ValidationError
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from rest_framework.parsers import MultiPartParser
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from rest_framework.permissions import IsAuthenticated
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from rest_framework.response import Response
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from rest_framework.views import APIView
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from rest_framework_csv.renderers import CSVRenderer
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from ..models import Project
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from ..permissions import IsProjectAdmin
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from ..utils import (AudioParser, CoNLLParser, CSVPainter, CSVParser,
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ExcelParser, FastTextPainter, FastTextParser,
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JSONLRenderer, JSONPainter, JSONParser, PlainTextParser,
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PlainTextRenderer, iterable_to_io)
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class Features(APIView):
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permission_classes = (IsAuthenticated,)
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def get(self, request, *args, **kwargs):
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return Response({
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'cloud_upload': bool(settings.CLOUD_BROWSER_APACHE_LIBCLOUD_PROVIDER),
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})
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class TextUploadAPI(APIView):
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parser_classes = (MultiPartParser,)
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permission_classes = [IsAuthenticated & IsProjectAdmin]
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def post(self, request, *args, **kwargs):
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if 'file' not in request.data:
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raise ParseError('Empty content')
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self.save_file(
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user=request.user,
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file=request.data['file'],
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file_format=request.data['format'],
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project_id=kwargs['project_id'],
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)
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return Response(status=status.HTTP_201_CREATED)
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@classmethod
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def save_file(cls, user, file, file_format, project_id):
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project = get_object_or_404(Project, pk=project_id)
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parser = cls.select_parser(file_format)
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data = parser.parse(file)
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storage = project.get_storage(data)
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storage.save(user)
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@classmethod
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def select_parser(cls, file_format):
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if file_format == 'plain':
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return PlainTextParser()
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elif file_format == 'csv':
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return CSVParser()
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elif file_format == 'json':
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return JSONParser()
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elif file_format == 'conll':
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return CoNLLParser()
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elif file_format == 'excel':
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return ExcelParser()
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elif file_format == 'audio':
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return AudioParser()
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elif file_format == 'fastText':
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return FastTextParser()
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else:
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raise ValidationError('format {} is invalid.'.format(file_format))
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class CloudUploadAPI(APIView):
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permission_classes = TextUploadAPI.permission_classes
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def get(self, request, *args, **kwargs):
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try:
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project_id = request.query_params['project_id']
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file_format = request.query_params['upload_format']
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cloud_container = request.query_params['container']
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cloud_object = request.query_params['object']
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except KeyError as ex:
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raise ValidationError('query parameter {} is missing'.format(ex))
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try:
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cloud_file = self.get_cloud_object_as_io(cloud_container, cloud_object)
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except ContainerDoesNotExistError:
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raise ValidationError('cloud container {} does not exist'.format(cloud_container))
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except ObjectDoesNotExistError:
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raise ValidationError('cloud object {} does not exist'.format(cloud_object))
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TextUploadAPI.save_file(
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user=request.user,
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file=cloud_file,
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file_format=file_format,
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project_id=project_id,
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)
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next_url = request.query_params.get('next')
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if next_url == 'about:blank':
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return Response(data='', content_type='text/plain', status=status.HTTP_201_CREATED)
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if next_url:
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return redirect(next_url)
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return Response(status=status.HTTP_201_CREATED)
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@classmethod
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def get_cloud_object_as_io(cls, container_name, object_name):
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provider = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_PROVIDER.lower()
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account = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_ACCOUNT
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key = settings.CLOUD_BROWSER_APACHE_LIBCLOUD_SECRET_KEY
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driver = get_driver(DriverType.STORAGE, provider)
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client = driver(account, key)
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cloud_container = client.get_container(container_name)
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cloud_object = cloud_container.get_object(object_name)
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return iterable_to_io(cloud_object.as_stream())
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class TextDownloadAPI(APIView):
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permission_classes = TextUploadAPI.permission_classes
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renderer_classes = (CSVRenderer, JSONLRenderer, PlainTextRenderer)
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def get(self, request, *args, **kwargs):
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format = request.query_params.get('q')
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only_approved = request.query_params.get('onlyApproved')
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project = get_object_or_404(Project, pk=self.kwargs['project_id'])
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documents = (
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project.documents.exclude(annotations_approved_by = None)
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if only_approved == 'true'
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else project.documents.all()
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)
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painter = self.select_painter(format)
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# jsonl-textlabel format prints text labels while jsonl format prints annotations with label ids
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# jsonl-textlabel format - "labels": [[0, 15, "PERSON"], ..]
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# jsonl format - "annotations": [{"label": 5, "start_offset": 0, "end_offset": 2, "user": 1},..]
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if format in ('jsonl', 'txt'):
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labels = project.labels.all()
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data = painter.paint_labels(documents, labels)
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else:
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data = painter.paint(documents)
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return Response(data)
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def select_painter(self, format):
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if format == 'csv':
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return CSVPainter()
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elif format == 'jsonl' or format == 'json':
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return JSONPainter()
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elif format == 'txt':
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return FastTextPainter()
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else:
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raise ValidationError('format {} is invalid.'.format(format))
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