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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2019-06-06 11:27:35 +0100
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2019-06-06 11:27:35 +0100
commit14637464277177ac092469bc6a2cb906b22a15f6 (patch)
tree40c6cc01c146383db0c1b605fbab00e625ee3b99 /app
parentupdate changelog and bump version (diff)
downloadAnnotateChange-14637464277177ac092469bc6a2cb906b22a15f6.tar.gz
AnnotateChange-14637464277177ac092469bc6a2cb906b22a15f6.zip
bugfix for sorting datasets
Diffstat (limited to 'app')
-rw-r--r--app/main/routes.py2
-rw-r--r--app/utils/tasks.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/app/main/routes.py b/app/main/routes.py
index a0033b1..ad78f27 100644
--- a/app/main/routes.py
+++ b/app/main/routes.py
@@ -16,7 +16,7 @@ from app.utils.tasks import generate_user_task
logger = logging.getLogger(__name__)
RUBRIC = """
-Please mark the points in the time series where an <b>abrupt change</b> in
+Please mark the point(s) in the time series where an <b>abrupt change</b> in
the behaviour of the series occurs. The goal is to define segments of the time
series that are separated by places where these abrupt changes occur.
<br>
diff --git a/app/utils/tasks.py b/app/utils/tasks.py
index 4297420..5629d46 100644
--- a/app/utils/tasks.py
+++ b/app/utils/tasks.py
@@ -52,7 +52,7 @@ def generate_user_task(user):
return None
# sort datasets so that the ones who need the least are at the front.
- potential_datasets.sort()
+ potential_datasets.sort(key=lambda x: x[0])
_, dataset = potential_datasets[0]
task = Task(annotator_id=user.id, dataset_id=dataset.id)