fix: fix 500 error when fetching course run

openedx/core/djangoapps/user_api/learner_skill_levels/utils.py

@@ -1,6 +1,7 @@
 """
 Utilities for learner_skill_levels.
 """
+from logging import getLogger
 from urllib.parse import urlparse
 
 from lms.djangoapps.grades.models import PersistentCourseGrade  # lint-amnesty, pylint: disable=unused-import
@@ -15,6 +16,8 @@
 
 from .constants import LEVEL_TYPE_SCORE_MAPPING
 
+LOGGER = getLogger(__name__)  # pylint: disable=invalid-name
+
 
 def get_course_run_ids(user):
     """
@@ -39,22 +42,25 @@ def generate_skill_score_mapping(user):
     for course_run_id in course_run_ids:
         # fetch course details from course run id to get course key
         course_run_data = get_course_run_data(course_run_id, ['course'])
-
-        # fetch course details to get level type and skills
-        course_data = get_course_data(course_run_data['course'], ['skill_names', 'level_type'])
-        skill_names = course_data['skill_names']
-        level_type = course_data['level_type']
-
-        # if a level_type is None for a course, we should skip that course.
-        if level_type:
-            score = LEVEL_TYPE_SCORE_MAPPING[level_type.capitalize()]
-            for skill in skill_names:
-                if skill in skill_score_mapping:
-                    # assign scores b/w 1-3 based on level type
-                    # assign the larger score if skill is repeated in 2 courses
-                    skill_score_mapping[skill] = max(score, skill_score_mapping[skill])
-                else:
-                    skill_score_mapping.update({skill: score})
+        if course_run_data:
+            # fetch course details to get level type and skills
+            course_data = get_course_data(course_run_data['course'], ['skill_names', 'level_type'])
+            skill_names = course_data['skill_names']
+            level_type = course_data['level_type']
+
+            # if a level_type is None for a course, we should skip that course.
+            if level_type:
+                score = LEVEL_TYPE_SCORE_MAPPING[level_type.capitalize()]
+                for skill in skill_names:
+                    if skill in skill_score_mapping:
+                        # assign scores b/w 1-3 based on level type
+                        # assign the larger score if skill is repeated in 2 courses
+                        skill_score_mapping[skill] = max(score, skill_score_mapping[skill])
+                    else:
+                        skill_score_mapping.update({skill: score})
+        LOGGER.info(
+            "Could not find course_key for course run id [%s].", course_run_id
+        )
     return skill_score_mapping