Fix pylint issues (#100)

cvat/apps/dataset_manager/annotation.py

@@ -70,8 +70,8 @@ class AnnotationIR:
         prev_shape = None
         for shape in track['shapes']:
             if prev_shape and not prev_shape['outside'] and \
-                has_overlap(prev_shape['frame'], shape['frame']):
-                    return True
+                    has_overlap(prev_shape['frame'], shape['frame']):
+                return True
             prev_shape = shape
 
         if not prev_shape['outside'] and prev_shape['frame'] <= stop:

cvat/apps/dataset_manager/bindings.py

@@ -1434,7 +1434,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
 
     if isinstance(instance_data, ProjectData):
         for sub_dataset, task_data in instance_data.split_dataset(dm_dataset):
-            # FIXME: temporary workaround for cvat format, will be removed after migration importer to datumaro
+            # FIXME: temporary workaround for cvat format
+            # will be removed after migration importer to datumaro
             sub_dataset._format = dm_dataset.format
             import_dm_annotations(sub_dataset, task_data)
         return
@@ -1477,6 +1478,12 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
             try:
                 if hasattr(ann, 'label') and ann.label is None:
                     raise CvatImportError("annotation has no label")
+
+                attributes = [
+                    instance_data.Attribute(name=n, value=str(v))
+                    for n, v in ann.attributes.items()
+                ]
+
                 if ann.type in shapes:
                     if ann.type == datum_annotation.AnnotationType.cuboid_3d:
                         try:
@@ -1485,44 +1492,50 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                             ann.points = ann.points
                         ann.z_order = 0
 
+                    # Use safe casting to bool instead of plain reading
+                    # because in some formats return type can be different
+                    # from bool / None
+                    # https://github.com/openvinotoolkit/datumaro/issues/719
+                    occluded = cast(ann.attributes.pop('occluded', None), bool) is True
+                    keyframe = cast(ann.attributes.get('keyframe', None), bool) is True
+                    outside = cast(ann.attributes.pop('outside', None), bool) is True
+
                     track_id = ann.attributes.pop('track_id', None)
+                    source = ann.attributes.pop('source').lower() \
+                        if ann.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+
                     if track_id is None or dm_dataset.format != 'cvat' :
                         instance_data.add_shape(instance_data.LabeledShape(
                             type=shapes[ann.type],
                             frame=frame_number,
                             points=ann.points,
                             label=label_cat.items[ann.label].name,
-                            occluded=ann.attributes.pop('occluded', None) == True,
+                            occluded=occluded,
                             z_order=ann.z_order,
                             group=group_map.get(ann.group, 0),
-                            source=str(ann.attributes.pop('source')).lower() \
-                                if str(ann.attributes.get('source', None)).lower() in {'auto', 'manual'} else 'manual',
-                            attributes=[instance_data.Attribute(name=n, value=str(v))
-                                for n, v in ann.attributes.items()],
+                            source=source,
+                            attributes=attributes,
                         ))
                         continue
 
-                    if ann.attributes.get('keyframe', None) == True or ann.attributes.get('outside', None) == True:
+                    if keyframe or outside:
                         track = instance_data.TrackedShape(
                             type=shapes[ann.type],
                             frame=frame_number,
-                            occluded=ann.attributes.pop('occluded', None) == True,
-                            outside=ann.attributes.pop('outside', None) == True,
-                            keyframe=ann.attributes.get('keyframe', None) == True,
+                            occluded=occluded,
+                            outside=outside,
+                            keyframe=keyframe,
                             points=ann.points,
                             z_order=ann.z_order,
-                            source=str(ann.attributes.pop('source')).lower() \
-                                if str(ann.attributes.get('source', None)).lower() in {'auto', 'manual'} else 'manual',
-                            attributes=[instance_data.Attribute(name=n, value=str(v))
-                                for n, v in ann.attributes.items()],
+                            source=source,
+                            attributes=attributes,
                         )
 
                         if track_id not in tracks:
                             tracks[track_id] = instance_data.Track(
                                 label=label_cat.items[ann.label].name,
                                 group=group_map.get(ann.group, 0),
-                                source=str(ann.attributes.pop('source')).lower() \
-                                    if str(ann.attributes.get('source', None)).lower() in {'auto', 'manual'} else 'manual',
+                                source=source,
                                 shapes=[],
                             )
 
@@ -1534,8 +1547,7 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         label=label_cat.items[ann.label].name,
                         group=group_map.get(ann.group, 0),
                         source='manual',
-                        attributes=[instance_data.Attribute(name=n, value=str(v))
-                            for n, v in ann.attributes.items()],
+                        attributes=attributes,
                     ))
             except Exception as e:
                 raise CvatImportError("Image {}: can't import annotation "

cvat/apps/dataset_manager/formats/imagenet.py

@@ -38,4 +38,4 @@ def _import(src_file, instance_data, load_data_callback=None):
             dataset = Dataset.import_from(tmp_dir, 'imagenet', env=dm_env)
             if load_data_callback is not None:
                 load_data_callback(dataset, instance_data)
-        import_dm_annotations(dataset, instance_data)
+        import_dm_annotations(dataset, instance_data)

cvat/apps/dataset_manager/formats/market1501.py

@@ -50,7 +50,7 @@ class LabelAttrToAttr(ItemTransform):
     def transform_item(self, item):
         annotations = list(item.annotations)
         attributes = dict(item.attributes)
-        if self._label != None:
+        if self._label is not None:
             labels = [ann for ann in annotations
                 if ann.type == AnnotationType.label \
                     and ann.label == self._label]

cvat/apps/dataset_manager/formats/mot.py

@@ -32,7 +32,7 @@ def _import_task(dataset, task_data):
                     type='rectangle',
                     label=label_cat.items[ann.label].name,
                     points=ann.points,
-                    occluded=ann.attributes.get('occluded') == True,
+                    occluded=ann.attributes.get('occluded') is True,
                     z_order=ann.z_order,
                     group=0,
                     frame=frame_number,
@@ -44,7 +44,7 @@ def _import_task(dataset, task_data):
             shape = task_data.TrackedShape(
                 type='rectangle',
                 points=ann.points,
-                occluded=ann.attributes.get('occluded') == True,
+                occluded=ann.attributes.get('occluded') is True,
                 outside=False,
                 keyframe=True,
                 z_order=ann.z_order,

cvat/apps/dataset_manager/formats/mots.py

@@ -52,7 +52,7 @@ def _import_task(dataset, task_data):
             shape = task_data.TrackedShape(
                 type='polygon',
                 points=ann.points,
-                occluded=ann.attributes.get('occluded') == True,
+                occluded=ann.attributes.get('occluded') is True,
                 outside=False,
                 keyframe=True,
                 z_order=ann.z_order,

cvat/apps/dataset_manager/formats/velodynepoint.py

@@ -19,7 +19,6 @@ from .registry import exporter, importer
 
 @exporter(name='Kitti Raw Format', ext='ZIP', version='1.0', dimension=DimensionType.DIM_3D)
 def _export_images(dst_file, task_data, save_images=False):
-
     dataset = Dataset.from_extractors(GetCVATDataExtractor(
         task_data, include_images=save_images, format_type="kitti_raw", dimension=DimensionType.DIM_3D), env=dm_env)
 
@@ -33,14 +32,10 @@ def _export_images(dst_file, task_data, save_images=False):
 def _import(src_file, instance_data, load_data_callback=None):
     with TemporaryDirectory() as tmp_dir:
         if zipfile.is_zipfile(src_file):
-                zipfile.ZipFile(src_file).extractall(tmp_dir)
-
-                dataset = Dataset.import_from(
-                    tmp_dir, 'kitti_raw', env=dm_env)
+            zipfile.ZipFile(src_file).extractall(tmp_dir)
+            dataset = Dataset.import_from(tmp_dir, 'kitti_raw', env=dm_env)
         else:
-
-            dataset = Dataset.import_from(
-                src_file.name, 'kitti_raw', env=dm_env)
+            dataset = Dataset.import_from(src_file.name, 'kitti_raw', env=dm_env)
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)

cvat/apps/dataset_manager/util.py

@@ -34,4 +34,4 @@ def bulk_create(db_model, objects, flt_param):
         else:
             return db_model.objects.bulk_create(objects)
 
-    return []
+    return []

cvat/apps/dataset_repo/dataset_repo.py

@@ -463,7 +463,9 @@ def update_states():
         try:
             get(db_git.task_id, db_user)
         except Exception:
-            slogger.glob("Exception occurred during a status updating for db_git with tid: {}".format(db_git.task_id))
+            slogger.glob.exception("Exception occurred during a status "
+                "updating for db_git with tid: {}".format(db_git.task_id),
+                exc_info=True)
 
 @transaction.atomic
 def _onsave(jid, data, action):

cvat/apps/dataset_repo/management/__init__.py

@@ -1,3 +1,3 @@
 # Copyright (C) 2018 Intel Corporation
 #
-# SPDX-License-Identifier: MIT
+# SPDX-License-Identifier: MIT

cvat/apps/dataset_repo/management/commands/__init__.py

@@ -1,3 +1,3 @@
 # Copyright (C) 2018 Intel Corporation
 #
-# SPDX-License-Identifier: MIT
+# SPDX-License-Identifier: MIT

cvat/apps/engine/media_extractors.py

@@ -494,7 +494,7 @@ class FragmentMediaReader:
             if idx < self._start_chunk_frame_number:
                 continue
             elif idx < self._end_chunk_frame_number and \
-                    not ((idx - self._start_chunk_frame_number) % self._step):
+                    not (idx - self._start_chunk_frame_number) % self._step:
                 frame_range.append(idx)
             elif (idx - self._start_chunk_frame_number) % self._step:
                 continue
@@ -654,20 +654,20 @@ class Mpeg4ChunkWriter(IChunkWriter):
             }
 
     def _create_av_container(self, path, w, h, rate, options, f='mp4'):
-            # x264 requires width and height must be divisible by 2 for yuv420p
-            if h % 2:
-                h += 1
-            if w % 2:
-                w += 1
+        # x264 requires width and height must be divisible by 2 for yuv420p
+        if h % 2:
+            h += 1
+        if w % 2:
+            w += 1
 
-            container = av.open(path, 'w',format=f)
-            video_stream = container.add_stream(self._codec_name, rate=rate)
-            video_stream.pix_fmt = "yuv420p"
-            video_stream.width = w
-            video_stream.height = h
-            video_stream.options = options
+        container = av.open(path, 'w',format=f)
+        video_stream = container.add_stream(self._codec_name, rate=rate)
+        video_stream.pix_fmt = "yuv420p"
+        video_stream.width = w
+        video_stream.height = h
+        video_stream.options = options
 
-            return container, video_stream
+        return container, video_stream
 
     def save_as_chunk(self, images, chunk_path):
         if not images:
@@ -779,7 +779,7 @@ def _is_zip(path):
 # 'mode': 'annotation' or 'interpolation' - mode of task that should be created.
 # 'unique': True or False - describes how the type can be combined with other.
 #           True - only one item of this type and no other is allowed
-#           False - this media types can be combined with other which have unique == False
+#           False - this media types can be combined with other which have unique is False
 
 MEDIA_TYPES = {
     'image': {

cvat/apps/engine/parsers.py

@@ -14,4 +14,4 @@ class TusUploadParser(BaseParser):
         # exception because a parser for the request with the non-standard
         # content media type isn't defined.
         # https://github.com/imtapps/django-rest-framework/blob/master/docs/api-guide/parsers.md
-        return {}
+        return {}

cvat/apps/engine/renderers.py

@@ -5,4 +5,4 @@
 from rest_framework.renderers import JSONRenderer
 
 class CVATAPIRenderer(JSONRenderer):
-    media_type = 'application/vnd.cvat+json'
+    media_type = 'application/vnd.cvat+json'

cvat/apps/iam/__init__.py

@@ -2,4 +2,4 @@
 #
 # SPDX-License-Identifier: MIT
 
-from .schema import *
+from .schema import * # force import of extensions

cvat/apps/iam/admin.py

@@ -23,4 +23,4 @@ class CustomGroupAdmin(GroupAdmin):
 admin.site.unregister(User)
 admin.site.unregister(Group)
 admin.site.register(User, CustomUserAdmin)
-admin.site.register(Group, CustomGroupAdmin)
+admin.site.register(Group, CustomGroupAdmin)

cvat/apps/iam/schema.py

@@ -41,4 +41,4 @@ class SignatureAuthenticationScheme(OpenApiAuthenticationExtension):
             'type': 'apiKey',
             'in': 'query',
             'name': 'sign',
-        }
+        }

cvat/apps/iam/urls.py

@@ -38,4 +38,4 @@ if settings.IAM_TYPE == 'BASIC':
                 name='account_email_verification_sent'),
         ]
 
-urlpatterns = [path('auth/', include(urlpatterns))]
+urlpatterns = [path('auth/', include(urlpatterns))]

cvat/apps/iam/views.py

@@ -32,13 +32,13 @@ def get_context(request):
         org_id = request.GET.get('org_id')
         org_header = request.headers.get('X-Organization')
 
-        if org_id != None and (org_slug != None or org_header != None):
-            raise BadRequest('You cannot specify "org_id" query parameter with ' +
+        if org_id is not None and (org_slug is not None or org_header is not None):
+            raise BadRequest('You cannot specify "org_id" query parameter with '
                 '"org" query parameter or "X-Organization" HTTP header at the same time.')
-        if org_slug != None and org_header != None and org_slug != org_header:
-            raise BadRequest('You cannot specify "org" query parameter and ' +
+        if org_slug is not None and org_header is not None and org_slug != org_header:
+            raise BadRequest('You cannot specify "org" query parameter and '
                 '"X-Organization" HTTP header with different values.')
-        org_slug = org_slug if org_slug != None else org_header
+        org_slug = org_slug if org_slug is not None else org_header
 
         org_filter = None
         if org_slug:

cvat/apps/lambda_manager/views.py

@@ -382,7 +382,7 @@ class LambdaQueue:
     def fetch_job(self, pk):
         queue = self._get_queue()
         job = queue.fetch_job(pk)
-        if job == None or not job.meta.get("lambda"):
+        if job is None or not job.meta.get("lambda"):
             raise ValidationError("{} lambda job is not found".format(pk),
                 code=status.HTTP_404_NOT_FOUND)
 

cvat/apps/organizations/views.py

@@ -199,4 +199,4 @@ class InvitationViewSet(viewsets.ModelViewSet):
         if 'accepted' in self.request.query_params:
             serializer.instance.accept()
         else:
-            super().perform_update(serializer)
+            super().perform_update(serializer)

cvat/apps/profiler.py

@@ -1,7 +1,7 @@
 from django.apps import apps
 
 if apps.is_installed('silk'):
-    from silk.profiling.profiler import silk_profile
+    from silk.profiling.profiler import silk_profile  # pylint: disable=unused-import
 else:
     from functools import wraps
     def silk_profile(name=None):
@@ -10,4 +10,4 @@ else:
             def wrapped(*args, **kwargs):
                 return f(*args, **kwargs)
             return wrapped
-        return profile
+        return profile

tests/rest_api/fixtures/data.py

@@ -213,7 +213,7 @@ def org_staff(memberships):
             return set()
         else:
             return set(m['user']['id'] for m in memberships
-                if m['role'] in ['maintainer', 'owner'] and m['user'] != None
+                if m['role'] in ['maintainer', 'owner'] and m['user'] is not None
                     and m['organization'] == org_id)
     return find
 
@@ -224,7 +224,7 @@ def is_org_member(memberships):
             return True
         else:
             return user_id in set(m['user']['id'] for m in memberships
-                if m['user'] != None and m['organization'] == org_id)
+                if m['user'] is not None and m['organization'] == org_id)
     return check
 
 @pytest.fixture(scope='session')
@@ -273,4 +273,4 @@ def filter_tasks_with_shapes(annotations):
 
 @pytest.fixture(scope='session')
 def tasks_with_shapes(tasks, filter_tasks_with_shapes):
-    return filter_tasks_with_shapes(tasks)
+    return filter_tasks_with_shapes(tasks)

tests/rest_api/test_invitations.py

@@ -22,7 +22,7 @@ class TestCreateInvitations:
 
     @staticmethod
     def get_non_member_users(memberships, users):
-        organization_users = set(m['user']['id'] for m in memberships if m['user'] != None)
+        organization_users = set(m['user']['id'] for m in memberships if m['user'] is not None)
         non_member_users = [u for u in users if u['id'] not in organization_users]
 
         return non_member_users
@@ -30,7 +30,7 @@ class TestCreateInvitations:
     @staticmethod
     def get_member(role, memberships, org_id):
         member = [m['user'] for m in memberships if m['role'] == role and
-            m['organization'] == org_id and m['user'] != None][0]
+            m['organization'] == org_id and m['user'] is not None][0]
 
         return member
 

utils/dataset_manifest/__init__.py

@@ -1,4 +1,4 @@
 # Copyright (C) 2021 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
-from .core import VideoManifestManager, ImageManifestManager, is_manifest
+from .core import VideoManifestManager, ImageManifestManager, is_manifest

utils/dataset_manifest/core.py

@@ -522,7 +522,7 @@ class VideoManifestManager(_ManifestManager):
 
     @property
     def data(self):
-        return (self.video_name)
+        return self.video_name
 
     def get_subset(self, subset_names):
         raise NotImplementedError()

utils/dataset_manifest/create.py

@@ -57,7 +57,7 @@ def main():
 
         # If the source is a glob expression, we need additional processing
         abs_root = source
-        while abs_root and re.search('[*?\[\]]', abs_root):
+        while abs_root and re.search(r'[*?\[\]]', abs_root):
             abs_root = os.path.split(abs_root)[0]
 
         related_images = detect_related_images(sources, abs_root)