From 02abd5a8f76a1f175f1d13abf42fd32b1ec356ea Mon Sep 17 00:00:00 2001
From: Boris Sekachev <40690378+bsekachev@users.noreply.github.com>
Date: Wed, 19 Dec 2018 17:56:52 +0300
Subject: [PATCH] Fixed labels order (#242)

---
 cvat/apps/engine/task.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/cvat/apps/engine/task.py b/cvat/apps/engine/task.py
index 7a735ae901de..786dfb0376a0 100644
--- a/cvat/apps/engine/task.py
+++ b/cvat/apps/engine/task.py
@@ -26,6 +26,7 @@
 from ffmpy import FFmpeg
 from pyunpack import Archive
 from distutils.dir_util import copy_tree
+from collections import OrderedDict
 
 from . import models
 from .log import slogger
@@ -154,7 +155,7 @@ def get(tid):
     """Get the task as dictionary of attributes"""
     db_task = models.Task.objects.get(pk=tid)
     if db_task:
-        db_labels = db_task.label_set.prefetch_related('attributespec_set').all()
+        db_labels = db_task.label_set.prefetch_related('attributespec_set').order_by('-pk').all()
         im_meta_data = get_image_meta_cache(db_task)
         attributes = {}
         for db_label in db_labels:
@@ -174,7 +175,7 @@ def get(tid):
         response = {
             "status": db_task.status,
             "spec": {
-                "labels": { db_label.id:db_label.name for db_label in db_labels },
+                "labels": OrderedDict((db_label.id, db_label.name) for db_label in db_labels),
                 "attributes": attributes
             },
             "size": db_task.size,
@@ -228,7 +229,7 @@ def get_job(jid):
         if db_task.mode == 'annotation':
             im_meta_data['original_size'] = im_meta_data['original_size'][db_segment.start_frame:db_segment.stop_frame + 1]
 
-        db_labels = db_task.label_set.prefetch_related('attributespec_set').all()
+        db_labels = db_task.label_set.prefetch_related('attributespec_set').order_by('-pk').all()
         attributes = {}
         for db_label in db_labels:
             attributes[db_label.id] = {}
@@ -237,7 +238,7 @@ def get_job(jid):
 
         response = {
             "status": db_job.status,
-            "labels": { db_label.id:db_label.name for db_label in db_labels },
+            "labels": OrderedDict((db_label.id, db_label.name) for db_label in db_labels),
             "stop": db_segment.stop_frame,
             "taskid": db_task.id,
             "slug": db_task.name,
@@ -375,7 +376,7 @@ def _get_frame_path(frame, base_dir):
     return path
 
 def _parse_labels(labels):
-    parsed_labels = {}
+    parsed_labels = OrderedDict()
 
     last_label = ""
     for token in shlex.split(labels):