Merge pull request #842 from cortex-lab/remove_static

Remove static

.github/workflows/main.yml

@@ -53,6 +53,7 @@ jobs:
           sudo touch /var/log/alyx_json.log; sudo chmod 666 /var/log/alyx_json.log
           cd alyx
           cp alyx/settings_ci.py alyx/settings.py
+          python manage.py collectstatic --noinput --link
           coverage run manage.py test -n
           coveralls --service=github
         env:
@@ -73,7 +74,7 @@ jobs:
             echo "requirements_frozen.txt unchanged"
             rm requirements_frozen_temp.txt
             echo "GIT_PUSH_NEEDED=false" >> "$GITHUB_ENV"
-          else 
+          else
             echo "requirements_frozen.txt is different, git push needed"
             mv requirements_frozen_temp.txt requirements_frozen.txt
             echo "GIT_PUSH_NEEDED=true" >> "$GITHUB_ENV"

.gitignore

@@ -30,7 +30,7 @@ alyx/templates/ibl_reports
 alyx/alyx/settings_secret.py
 alyx/alyx/settings_lab.py
 alyx/alyx/settings.py
-
+alyx/static/*/*
 scripts/deployment_examples/docker-apache/settings*
 
 alyx/.idea/

alyx/experiments/migrations/0013_remove_trajectoryestimate_unique_trajectory_per_provenance_and_more.py

@@ -0,0 +1,25 @@
+# Generated by Django 4.2.11 on 2024-03-22 12:45
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('experiments', '0012_fov_imagingstack_imagingtype_alter_channel_lateral_and_more'),
+    ]
+
+    operations = [
+        migrations.RemoveConstraint(
+            model_name='trajectoryestimate',
+            name='unique_trajectory_per_provenance',
+        ),
+        migrations.AddConstraint(
+            model_name='trajectoryestimate',
+            constraint=models.UniqueConstraint(condition=models.Q(('probe_insertion__isnull', True)), fields=('provenance', 'chronic_insertion'), name='unique_trajectory_per_chronic_provenance'),
+        ),
+        migrations.AddConstraint(
+            model_name='trajectoryestimate',
+            constraint=models.UniqueConstraint(condition=models.Q(('probe_insertion__isnull', False)), fields=('provenance', 'probe_insertion'), name='unique_trajectory_per_provenance'),
+        ),
+    ]