Conditional publishing of QTI archives instead of perseus.

Author: rtibbles

contentcuration/contentcuration/utils/publish.py

@@ -44,6 +44,7 @@
 from contentcuration import models as ccmodels
 from contentcuration.decorators import delay_user_storage_calculation
 from contentcuration.utils.assessment.perseus import PerseusExerciseGenerator
+from contentcuration.utils.assessment.qti.archive import QTIExerciseGenerator
 from contentcuration.utils.cache import delete_public_channel_cache_keys
 from contentcuration.utils.files import create_thumbnail_from_base64
 from contentcuration.utils.files import get_thumbnail_encoding
@@ -320,12 +321,33 @@ def recurse_nodes(self, node, inherited_fields):  # noqa C901
 
             if node.kind_id == content_kinds.EXERCISE:
                 exercise_data = process_assessment_metadata(node, kolibrinode)
+                any_free_response = any(
+                    t == exercises.FREE_RESPONSE
+                    for t in exercise_data["assessment_mapping"].values()
+                )
+                generator_class = (
+                    QTIExerciseGenerator
+                    if any_free_response
+                    else PerseusExerciseGenerator
+                )
+
+                # If this exercise previously had a file generated by a different
+                # generator, make sure we clean it up here.
+                stale_presets = {
+                    PerseusExerciseGenerator.preset,
+                    QTIExerciseGenerator.preset,
+                } - {generator_class.preset}
+
+                # Remove archives produced by the previously-used generator
+                node.files.filter(preset_id__in=stale_presets).delete()
+
                 if (
                     self.force_exercises
                     or node.changed
-                    or not node.files.filter(preset_id=format_presets.EXERCISE).exists()
+                    or not node.files.filter(preset_id=generator_class.preset).exists()
                 ):
-                    generator = PerseusExerciseGenerator(
+
+                    generator = generator_class(
                         node,
                         exercise_data,
                         self.channel_id,