Az/import export tasks (#3056)
* initial version of task export/import feature * fixed tests * CLI * fix comments * updated license headers * fix eslint issues * fix comments * fixed comments * reverted changes in *.md files * fixed comments * fix pylint issues * fix import for share case * improved unit tests * updated changelog * fixed Maria's comments * fixed comments * Fixed position of create new task button * Fixed span position * fixed comments Co-authored-by: Nikita Manovich <nikita.manovich@intel.com> Co-authored-by: Boris Sekachev <boris.sekachev@intel.com>main
Andrey Zhavoronkov
5 years ago
committed by
GitHub
parent
6665fe1dc7
commit
72fdef4335
@ -0,0 +1,550 @@
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# Copyright (C) 2021 Intel Corporation
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#
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# SPDX-License-Identifier: MIT
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import io
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import os
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from enum import Enum
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import shutil
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from zipfile import ZipFile
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from django.conf import settings
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from django.db import transaction
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from rest_framework.parsers import JSONParser
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from rest_framework.renderers import JSONRenderer
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import cvat.apps.dataset_manager as dm
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from cvat.apps.engine import models
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from cvat.apps.engine.log import slogger
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from cvat.apps.engine.serializers import (AttributeSerializer, DataSerializer,
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LabeledDataSerializer, SegmentSerializer, SimpleJobSerializer, TaskSerializer,
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ReviewSerializer, IssueSerializer, CommentSerializer)
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from cvat.apps.engine.utils import av_scan_paths
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from cvat.apps.engine.models import StorageChoice, StorageMethodChoice, DataChoice
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from cvat.apps.engine.task import _create_thread
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class Version(Enum):
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V1 = '1.0'
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class _TaskBackupBase():
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MANIFEST_FILENAME = 'task.json'
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ANNOTATIONS_FILENAME = 'annotations.json'
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DATA_DIRNAME = 'data'
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TASK_DIRNAME = 'task'
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def _prepare_meta(self, allowed_keys, meta):
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keys_to_drop = set(meta.keys()) - allowed_keys
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if keys_to_drop:
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logger = slogger.task[self._db_task.id] if hasattr(self, '_db_task') else slogger.glob
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logger.warning('the following keys are dropped {}'.format(keys_to_drop))
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for key in keys_to_drop:
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del meta[key]
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return meta
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def _prepare_task_meta(self, task):
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allowed_fields = {
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'name',
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'bug_tracker',
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'status',
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'subset',
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'labels',
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}
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return self._prepare_meta(allowed_fields, task)
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def _prepare_data_meta(self, data):
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allowed_fields = {
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'chunk_size',
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'image_quality',
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'start_frame',
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'stop_frame',
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'frame_filter',
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'chunk_type',
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'storage_method',
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'storage',
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}
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self._prepare_meta(allowed_fields, data)
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if 'frame_filter' in data and not data['frame_filter']:
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data.pop('frame_filter')
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return data
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def _prepare_job_meta(self, job):
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allowed_fields = {
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'status',
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}
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return self._prepare_meta(allowed_fields, job)
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def _prepare_attribute_meta(self, attribute):
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allowed_fields = {
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'name',
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'mutable',
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'input_type',
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'default_value',
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'values',
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}
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return self._prepare_meta(allowed_fields, attribute)
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def _prepare_label_meta(self, labels):
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allowed_fields = {
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'name',
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'color',
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'attributes',
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}
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return self._prepare_meta(allowed_fields, labels)
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def _prepare_annotations(self, annotations, label_mapping):
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allowed_fields = {
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'label',
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'label_id',
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'type',
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'occluded',
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'outside',
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'z_order',
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'points',
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'frame',
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'group',
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'source',
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'attributes',
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'shapes',
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}
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def _update_attribute(attribute, label):
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if 'name' in attribute:
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source, dest = attribute.pop('name'), 'spec_id'
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else:
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source, dest = attribute.pop('spec_id'), 'name'
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attribute[dest] = label_mapping[label]['attributes'][source]
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def _update_label(shape):
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if 'label_id' in shape:
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source, dest = shape.pop('label_id'), 'label'
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elif 'label' in shape:
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source, dest = shape.pop('label'), 'label_id'
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shape[dest] = label_mapping[source]['value']
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return source
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for tag in annotations['tags']:
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label = _update_label(tag)
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for attr in tag['attributes']:
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_update_attribute(attr, label)
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self._prepare_meta(allowed_fields, tag)
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for shape in annotations['shapes']:
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label = _update_label(shape)
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for attr in shape['attributes']:
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_update_attribute(attr, label)
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self._prepare_meta(allowed_fields, shape)
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for track in annotations['tracks']:
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label = _update_label(track)
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for shape in track['shapes']:
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for attr in shape['attributes']:
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_update_attribute(attr, label)
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self._prepare_meta(allowed_fields, shape)
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for attr in track['attributes']:
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_update_attribute(attr, label)
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self._prepare_meta(allowed_fields, track)
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return annotations
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def _prepare_review_meta(self, review):
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allowed_fields = {
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'estimated_quality',
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'status',
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'issues',
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}
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return self._prepare_meta(allowed_fields, review)
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def _prepare_issue_meta(self, issue):
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allowed_fields = {
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'frame',
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'position',
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'created_date',
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'resolved_date',
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'comments',
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}
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return self._prepare_meta(allowed_fields, issue)
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def _prepare_comment_meta(self, comment):
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allowed_fields = {
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'message',
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'created_date',
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'updated_date',
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}
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return self._prepare_meta(allowed_fields, comment)
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def _get_db_jobs(self):
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if self._db_task:
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db_segments = list(self._db_task.segment_set.all().prefetch_related('job_set'))
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db_segments.sort(key=lambda i: i.job_set.first().id)
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db_jobs = (s.job_set.first() for s in db_segments)
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return db_jobs
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return ()
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class TaskExporter(_TaskBackupBase):
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def __init__(self, pk, version=Version.V1):
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self._db_task = models.Task.objects.prefetch_related('data__images').select_related('data__video').get(pk=pk)
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self._db_data = self._db_task.data
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self._version = version
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db_labels = (self._db_task.project if self._db_task.project_id else self._db_task).label_set.all().prefetch_related(
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'attributespec_set')
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self._label_mapping = {}
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self._label_mapping = {db_label.id: db_label.name for db_label in db_labels}
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self._attribute_mapping = {}
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for db_label in db_labels:
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self._label_mapping[db_label.id] = {
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'value': db_label.name,
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'attributes': {},
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}
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for db_attribute in db_label.attributespec_set.all():
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self._label_mapping[db_label.id]['attributes'][db_attribute.id] = db_attribute.name
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def _write_files(self, source_dir, zip_object, files, target_dir):
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for filename in files:
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arcname = os.path.normpath(
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os.path.join(
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target_dir,
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os.path.relpath(filename, source_dir),
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)
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)
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zip_object.write(filename=filename, arcname=arcname)
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def _write_directory(self, source_dir, zip_object, target_dir, recursive=True, exclude_files=None):
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for root, dirs, files in os.walk(source_dir, topdown=True):
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if not recursive:
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dirs.clear()
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if files:
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self._write_files(
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source_dir=source_dir,
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zip_object=zip_object,
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files=(os.path.join(root, f) for f in files if not exclude_files or f not in exclude_files),
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target_dir=target_dir,
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)
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def _write_data(self, zip_object):
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if self._db_data.storage == StorageChoice.LOCAL:
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self._write_directory(
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source_dir=self._db_data.get_upload_dirname(),
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zip_object=zip_object,
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target_dir=self.DATA_DIRNAME,
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)
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elif self._db_data.storage == StorageChoice.SHARE:
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data_dir = settings.SHARE_ROOT
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if hasattr(self._db_data, 'video'):
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media_files = (os.path.join(data_dir, self._db_data.video.path), )
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else:
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media_files = (os.path.join(data_dir, im.path) for im in self._db_data.images.all().order_by('frame'))
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self._write_files(
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source_dir=data_dir,
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zip_object=zip_object,
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files=media_files,
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target_dir=self.DATA_DIRNAME
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)
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upload_dir = self._db_data.get_upload_dirname()
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self._write_files(
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source_dir=upload_dir,
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zip_object=zip_object,
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files=(os.path.join(upload_dir, f) for f in ('manifest.jsonl',)),
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target_dir=self.DATA_DIRNAME
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)
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else:
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raise NotImplementedError()
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def _write_task(self, zip_object):
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task_dir = self._db_task.get_task_dirname()
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self._write_directory(
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source_dir=task_dir,
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zip_object=zip_object,
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target_dir=self.TASK_DIRNAME,
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recursive=False,
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)
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def _write_manifest(self, zip_object):
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def serialize_task():
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task_serializer = TaskSerializer(self._db_task)
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task_serializer.fields.pop('url')
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task_serializer.fields.pop('owner')
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task_serializer.fields.pop('assignee')
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task_serializer.fields.pop('segments')
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task = self._prepare_task_meta(task_serializer.data)
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task['labels'] = [self._prepare_label_meta(l) for l in task['labels']]
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for label in task['labels']:
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label['attributes'] = [self._prepare_attribute_meta(a) for a in label['attributes']]
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return task
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def serialize_comment(db_comment):
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comment_serializer = CommentSerializer(db_comment)
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comment_serializer.fields.pop('author')
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return self._prepare_comment_meta(comment_serializer.data)
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def serialize_issue(db_issue):
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issue_serializer = IssueSerializer(db_issue)
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issue_serializer.fields.pop('owner')
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issue_serializer.fields.pop('resolver')
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issue = issue_serializer.data
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issue['comments'] = (serialize_comment(c) for c in db_issue.comment_set.order_by('id'))
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return self._prepare_issue_meta(issue)
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def serialize_review(db_review):
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review_serializer = ReviewSerializer(db_review)
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review_serializer.fields.pop('reviewer')
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review_serializer.fields.pop('assignee')
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review = review_serializer.data
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review['issues'] = (serialize_issue(i) for i in db_review.issue_set.order_by('id'))
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return self._prepare_review_meta(review)
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def serialize_segment(db_segment):
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db_job = db_segment.job_set.first()
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job_serializer = SimpleJobSerializer(db_job)
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job_serializer.fields.pop('url')
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job_serializer.fields.pop('assignee')
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job_serializer.fields.pop('reviewer')
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job_data = self._prepare_job_meta(job_serializer.data)
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segment_serailizer = SegmentSerializer(db_segment)
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segment_serailizer.fields.pop('jobs')
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segment = segment_serailizer.data
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segment.update(job_data)
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db_reviews = db_job.review_set.order_by('id')
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segment['reviews'] = (serialize_review(r) for r in db_reviews)
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return segment
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def serialize_jobs():
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db_segments = list(self._db_task.segment_set.all())
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db_segments.sort(key=lambda i: i.job_set.first().id)
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return (serialize_segment(s) for s in db_segments)
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def serialize_data():
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data_serializer = DataSerializer(self._db_data)
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data = data_serializer.data
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data['chunk_type'] = data.pop('compressed_chunk_type')
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return self._prepare_data_meta(data)
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task = serialize_task()
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task['version'] = self._version.value
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task['data'] = serialize_data()
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task['jobs'] = serialize_jobs()
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zip_object.writestr(self.MANIFEST_FILENAME, data=JSONRenderer().render(task))
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def _write_annotations(self, zip_object):
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def serialize_annotations():
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job_annotations = []
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db_jobs = self._get_db_jobs()
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db_job_ids = (j.id for j in db_jobs)
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for db_job_id in db_job_ids:
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annotations = dm.task.get_job_data(db_job_id)
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annotations_serializer = LabeledDataSerializer(data=annotations)
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annotations_serializer.is_valid(raise_exception=True)
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job_annotations.append(self._prepare_annotations(annotations_serializer.data, self._label_mapping))
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return job_annotations
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annotations = serialize_annotations()
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zip_object.writestr(self.ANNOTATIONS_FILENAME, data=JSONRenderer().render(annotations))
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def export_to(self, filename):
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if self._db_task.data.storage_method == StorageMethodChoice.FILE_SYSTEM and \
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self._db_task.data.storage == StorageChoice.SHARE:
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raise Exception('The task cannot be exported because it does not contain any raw data')
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with ZipFile(filename, 'w') as output_file:
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self._write_data(output_file)
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self._write_task(output_file)
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self._write_manifest(output_file)
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self._write_annotations(output_file)
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class TaskImporter(_TaskBackupBase):
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def __init__(self, filename, user_id):
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self._filename = filename
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self._user_id = user_id
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self._manifest, self._annotations = self._read_meta()
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self._version = self._read_version()
|
||||||
|
self._labels_mapping = {}
|
||||||
|
self._db_task = None
|
||||||
|
|
||||||
|
def _read_meta(self):
|
||||||
|
with ZipFile(self._filename, 'r') as input_file:
|
||||||
|
manifest = JSONParser().parse(io.BytesIO(input_file.read(self.MANIFEST_FILENAME)))
|
||||||
|
annotations = JSONParser().parse(io.BytesIO(input_file.read(self.ANNOTATIONS_FILENAME)))
|
||||||
|
|
||||||
|
return manifest, annotations
|
||||||
|
|
||||||
|
def _read_version(self):
|
||||||
|
version = self._manifest.pop('version')
|
||||||
|
try:
|
||||||
|
return Version(version)
|
||||||
|
except ValueError:
|
||||||
|
raise ValueError('{} version is not supported'.format(version))
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def _prepare_dirs(filepath):
|
||||||
|
target_dir = os.path.dirname(filepath)
|
||||||
|
if not os.path.exists(target_dir):
|
||||||
|
os.makedirs(target_dir)
|
||||||
|
|
||||||
|
def _create_labels(self, db_task, labels):
|
||||||
|
label_mapping = {}
|
||||||
|
|
||||||
|
for label in labels:
|
||||||
|
label_name = label['name']
|
||||||
|
attributes = label.pop('attributes', [])
|
||||||
|
db_label = models.Label.objects.create(task=db_task, **label)
|
||||||
|
label_mapping[label_name] = {
|
||||||
|
'value': db_label.id,
|
||||||
|
'attributes': {},
|
||||||
|
}
|
||||||
|
|
||||||
|
for attribute in attributes:
|
||||||
|
attribute_name = attribute['name']
|
||||||
|
attribute_serializer = AttributeSerializer(data=attribute)
|
||||||
|
attribute_serializer.is_valid(raise_exception=True)
|
||||||
|
db_attribute = attribute_serializer.save(label=db_label)
|
||||||
|
label_mapping[label_name]['attributes'][attribute_name] = db_attribute.id
|
||||||
|
|
||||||
|
return label_mapping
|
||||||
|
|
||||||
|
def _create_annotations(self, db_job, annotations):
|
||||||
|
self._prepare_annotations(annotations, self._labels_mapping)
|
||||||
|
|
||||||
|
serializer = LabeledDataSerializer(data=annotations)
|
||||||
|
serializer.is_valid(raise_exception=True)
|
||||||
|
dm.task.put_job_data(db_job.id, serializer.data)
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def _calculate_segment_size(jobs):
|
||||||
|
segment_size = jobs[0]['stop_frame'] - jobs[0]['start_frame'] + 1
|
||||||
|
overlap = 0 if len(jobs) == 1 else jobs[0]['stop_frame'] - jobs[1]['start_frame'] + 1
|
||||||
|
|
||||||
|
return segment_size, overlap
|
||||||
|
|
||||||
|
def _import_task(self):
|
||||||
|
|
||||||
|
def _create_comment(comment, db_issue):
|
||||||
|
comment['issue'] = db_issue.id
|
||||||
|
comment_serializer = CommentSerializer(data=comment)
|
||||||
|
comment_serializer.is_valid(raise_exception=True)
|
||||||
|
db_comment = comment_serializer.save()
|
||||||
|
return db_comment
|
||||||
|
|
||||||
|
def _create_issue(issue, db_review, db_job):
|
||||||
|
issue['review'] = db_review.id
|
||||||
|
issue['job'] = db_job.id
|
||||||
|
comments = issue.pop('comments')
|
||||||
|
|
||||||
|
issue_serializer = IssueSerializer(data=issue)
|
||||||
|
issue_serializer.is_valid( raise_exception=True)
|
||||||
|
db_issue = issue_serializer.save()
|
||||||
|
|
||||||
|
for comment in comments:
|
||||||
|
_create_comment(comment, db_issue)
|
||||||
|
|
||||||
|
return db_issue
|
||||||
|
|
||||||
|
def _create_review(review, db_job):
|
||||||
|
review['job'] = db_job.id
|
||||||
|
issues = review.pop('issues')
|
||||||
|
|
||||||
|
review_serializer = ReviewSerializer(data=review)
|
||||||
|
review_serializer.is_valid(raise_exception=True)
|
||||||
|
db_review = review_serializer.save()
|
||||||
|
|
||||||
|
for issue in issues:
|
||||||
|
_create_issue(issue, db_review, db_job)
|
||||||
|
|
||||||
|
return db_review
|
||||||
|
|
||||||
|
data = self._manifest.pop('data')
|
||||||
|
labels = self._manifest.pop('labels')
|
||||||
|
jobs = self._manifest.pop('jobs')
|
||||||
|
|
||||||
|
self._prepare_task_meta(self._manifest)
|
||||||
|
self._manifest['segment_size'], self._manifest['overlap'] = self._calculate_segment_size(jobs)
|
||||||
|
self._manifest["owner_id"] = self._user_id
|
||||||
|
|
||||||
|
self._db_task = models.Task.objects.create(**self._manifest)
|
||||||
|
task_path = self._db_task.get_task_dirname()
|
||||||
|
if os.path.isdir(task_path):
|
||||||
|
shutil.rmtree(task_path)
|
||||||
|
|
||||||
|
os.makedirs(self._db_task.get_task_logs_dirname())
|
||||||
|
os.makedirs(self._db_task.get_task_artifacts_dirname())
|
||||||
|
|
||||||
|
self._labels_mapping = self._create_labels(self._db_task, labels)
|
||||||
|
|
||||||
|
self._prepare_data_meta(data)
|
||||||
|
data_serializer = DataSerializer(data=data)
|
||||||
|
data_serializer.is_valid(raise_exception=True)
|
||||||
|
db_data = data_serializer.save()
|
||||||
|
self._db_task.data = db_data
|
||||||
|
self._db_task.save()
|
||||||
|
|
||||||
|
data_path = self._db_task.data.get_upload_dirname()
|
||||||
|
uploaded_files = []
|
||||||
|
with ZipFile(self._filename, 'r') as input_file:
|
||||||
|
for f in input_file.namelist():
|
||||||
|
if f.startswith(self.DATA_DIRNAME + os.path.sep):
|
||||||
|
target_file = os.path.join(data_path, os.path.relpath(f, self.DATA_DIRNAME))
|
||||||
|
self._prepare_dirs(target_file)
|
||||||
|
with open(target_file, "wb") as out:
|
||||||
|
out.write(input_file.read(f))
|
||||||
|
uploaded_files.append(os.path.relpath(f, self.DATA_DIRNAME))
|
||||||
|
elif f.startswith(self.TASK_DIRNAME + os.path.sep):
|
||||||
|
target_file = os.path.join(task_path, os.path.relpath(f, self.TASK_DIRNAME))
|
||||||
|
self._prepare_dirs(target_file)
|
||||||
|
with open(target_file, "wb") as out:
|
||||||
|
out.write(input_file.read(f))
|
||||||
|
|
||||||
|
data['use_zip_chunks'] = data.pop('chunk_type') == DataChoice.IMAGESET
|
||||||
|
data = data_serializer.data
|
||||||
|
data['client_files'] = uploaded_files
|
||||||
|
_create_thread(self._db_task.pk, data.copy(), True)
|
||||||
|
db_data.start_frame = data['start_frame']
|
||||||
|
db_data.stop_frame = data['stop_frame']
|
||||||
|
db_data.frame_filter = data['frame_filter']
|
||||||
|
db_data.storage = StorageChoice.LOCAL
|
||||||
|
db_data.save(update_fields=['start_frame', 'stop_frame', 'frame_filter', 'storage'])
|
||||||
|
|
||||||
|
for db_job, job in zip(self._get_db_jobs(), jobs):
|
||||||
|
db_job.status = job['status']
|
||||||
|
db_job.save()
|
||||||
|
|
||||||
|
for review in job['reviews']:
|
||||||
|
_create_review(review, db_job)
|
||||||
|
|
||||||
|
def _import_annotations(self):
|
||||||
|
db_jobs = self._get_db_jobs()
|
||||||
|
for db_job, annotations in zip(db_jobs, self._annotations):
|
||||||
|
self._create_annotations(db_job, annotations)
|
||||||
|
|
||||||
|
def import_task(self):
|
||||||
|
self._import_task()
|
||||||
|
self._import_annotations()
|
||||||
|
return self._db_task
|
||||||
|
|
||||||
|
@transaction.atomic
|
||||||
|
def import_task(filename, user):
|
||||||
|
av_scan_paths(filename)
|
||||||
|
task_importer = TaskImporter(filename, user)
|
||||||
|
db_task = task_importer.import_task()
|
||||||
|
return db_task.id
|
||||||
Loading…
Reference in New Issue