# Generated by Django 3.1.4 on 2021-03-09 12:39 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('tasks', '0004_auto_20210308_1559'), ] operations = [ migrations.RemoveIndex( model_name='annotation', name='task_comple_task_id_07c6ca_idx', ), migrations.RenameField( model_name='annotation', old_name='honeypot', new_name='ground_truth', ), migrations.AlterField( model_name='annotation', name='ground_truth', field=models.BooleanField(default=False, help_text='This annotation is a Ground Truth (ground_truth)', verbose_name='ground_truth'), ), migrations.AlterField( model_name='task', name='data', field=models.JSONField(help_text='User imported or uploaded data for a task. Data is formatted according to the project label config. You can find examples of data for your project on the Import page in the Label Studio Data Manager UI.', verbose_name='data'), ), migrations.AlterField( model_name='task', name='is_labeled', field=models.BooleanField(default=False, help_text='True if the number of annotations for this task is greater than or equal to the number of maximum_completions for the project', verbose_name='is_labeled'), ), migrations.AlterField( model_name='task', name='meta', field=models.JSONField(default=dict, help_text='Meta is user imported (uploaded) data and can be useful as input for an ML Backend for embeddings, advanced vectors, and other info. It is passed to ML during training/predicting steps.', null=True, verbose_name='meta'), ), migrations.AlterField( model_name='tasklock', name='user', field=models.ForeignKey(help_text='User who locked this task', on_delete=django.db.models.deletion.CASCADE, related_name='task_locks', to=settings.AUTH_USER_MODEL), ), migrations.AddIndex( model_name='annotation', index=models.Index(fields=['task', 'ground_truth'], name='task_comple_task_id_e82920_idx'), ), ]