feat: take exec ed course data from course run instead of additional_…

…metadata attempt 3

fix: use content_price for populating price csv column

enterprise_catalog/apps/api/tests/test_tasks.py

@@ -27,6 +27,7 @@
 from enterprise_catalog.apps.catalog.models import CatalogQuery, ContentMetadata
 from enterprise_catalog.apps.catalog.serializers import (
     DEFAULT_NORMALIZED_PRICE,
+    NormalizedContentMetadataSerializer,
     _find_best_mode_seat,
 )
 from enterprise_catalog.apps.catalog.tests.factories import (
@@ -55,6 +56,37 @@ def mock_task(self, *args, **kwargs):  # pylint: disable=unused-argument
 mock_task.name = 'mock_task'
 
 
+def _hydrate_normalized_metadata(metadata_record):
+    """
+    Populate normalized_metadata fields for ContentMetadata
+    """
+    normalized_metadata_input = {
+        'course_metadata': metadata_record.json_metadata,
+    }
+    metadata_record.json_metadata['normalized_metadata'] =\
+        NormalizedContentMetadataSerializer(normalized_metadata_input).data
+    metadata_record.json_metadata['normalized_metadata_by_run'] = {}
+    for run in metadata_record.json_metadata.get('course_runs', []):
+        metadata_record.json_metadata['normalized_metadata_by_run'].update({
+            run['key']: NormalizedContentMetadataSerializer({
+                'course_run_metadata': run,
+                'course_metadata': metadata_record.json_metadata,
+            }).data
+        })
+
+
+def _hydrate_course_normalized_metadata():
+    """
+    Populate normalized_metadata fields for all course ContentMetadata
+    Needed for tests that generate test ContentMetadata, which does not have
+    normalized_metadata populated by default.
+    """
+    all_course_metadata = ContentMetadata.objects.filter(content_type=COURSE)
+    for course_metadata in all_course_metadata:
+        _hydrate_normalized_metadata(course_metadata)
+        course_metadata.save()
+
+
 @ddt.ddt
 class TestTaskResultFunctions(TestCase):
     """
@@ -827,6 +859,8 @@ def setUp(self):
         self.course_run_metadata_unpublished.catalog_queries.set([course_run_catalog_query])
         self.course_run_metadata_unpublished.save()
 
+        _hydrate_course_normalized_metadata()
+
     def _set_up_factory_data_for_algolia(self):
         expected_catalog_uuids = sorted([
             str(self.enterprise_catalog_courses.uuid),
@@ -1026,6 +1060,7 @@ def test_index_algolia_program_common_uuids_only(self, mock_search_client):
         test_course_1.save()
         test_course_2.save()
         test_course_3.save()
+        _hydrate_course_normalized_metadata()
 
         actual_algolia_products_sent = []
 
@@ -1124,6 +1159,7 @@ def test_index_algolia_program_unindexable_content(self, mock_search_client):
         test_course_1.save()
         test_course_2.save()
         test_course_3.save()
+        _hydrate_course_normalized_metadata()
 
         actual_algolia_products_sent = []
 
@@ -2138,6 +2174,7 @@ def test_index_algolia_duplicate_content_uuids(self, mock_search_client):
         )
         course_run_for_duplicate = ContentMetadataFactory(content_type=COURSE_RUN, parent_content_key='duplicateX')
         course_run_for_duplicate.catalog_queries.set([self.enterprise_catalog_course_runs.catalog_query])
+        _hydrate_course_normalized_metadata()
 
         actual_algolia_products_sent_sequence = []
 

enterprise_catalog/apps/api/v1/export_utils.py

@@ -170,69 +170,103 @@ def program_hit_to_row(hit):
     return csv_row
 
 
-def course_hit_to_row(hit):
-    """
-    Helper function to construct a CSV row according to a single Algolia result course hit.
-    """
-    csv_row = []
-    csv_row.append(hit.get('title'))
-
-    if hit.get('partners'):
-        csv_row.append(hit['partners'][0]['name'])
-    else:
-        csv_row.append(None)
+def _base_csv_row_data(hit):
+    """ Returns the formatted, shared attributes common across all course types. """
+    title = hit.get('title')
+    aggregation_key = hit.get('aggregation_key')
+    language = hit.get('language')
+    transcript_languages = ', '.join(hit.get('transcript_languages', []))
+    marketing_url = hit.get('marketing_url')
+    short_description = strip_tags(hit.get('short_description', ''))
+    subjects = ', '.join(hit.get('subjects', []))
+    skills = ', '.join([skill['name'] for skill in hit.get('skills', [])])
+    outcome = strip_tags(hit.get('outcome', ''))  # What You’ll Learn
+
+    # FIXME: currently ignores partner names when a course has multiple partners
+    partner_name = hit['partners'][0]['name'] if hit.get('partners') else None
 
     empty_advertised_course_run = {}
     advertised_course_run = hit.get('advertised_course_run', empty_advertised_course_run)
+    course_run_key = advertised_course_run.get('key')
+    min_effort = advertised_course_run.get('min_effort')
+    max_effort = advertised_course_run.get('max_effort')
+    weeks_to_complete = advertised_course_run.get('weeks_to_complete')  # Length
+
     if start_date := advertised_course_run.get('start'):
         start_date = parser.parse(start_date).strftime(DATE_FORMAT)
-    csv_row.append(start_date)
 
     if end_date := advertised_course_run.get('end'):
         end_date = parser.parse(end_date).strftime(DATE_FORMAT)
-    csv_row.append(end_date)
-
-    # upgrade_deadline deprecated in favor of enroll_by
-    if upgrade_deadline := advertised_course_run.get('upgrade_deadline'):
-        upgrade_deadline = datetime.datetime.fromtimestamp(upgrade_deadline).strftime(DATE_FORMAT)
-    csv_row.append(upgrade_deadline)
 
     if enroll_by := advertised_course_run.get('enroll_by'):
         enroll_by = datetime.datetime.fromtimestamp(enroll_by).strftime(DATE_FORMAT)
-    csv_row.append(enroll_by)
-
-    pacing_type = advertised_course_run.get('pacing_type')
-    key = advertised_course_run.get('key')
-
-    csv_row.append(', '.join(hit.get('programs', [])))
-    csv_row.append(', '.join(hit.get('program_titles', [])))
-
-    csv_row.append(pacing_type)
-
-    csv_row.append(hit.get('level_type'))
 
+    content_price = None
+    empty_advertised_course_run = {}
     if content_price := advertised_course_run.get('content_price'):
         content_price = math.trunc(float(content_price))
-    csv_row.append(content_price)
+    return {
+        'title': title,
+        'partner_name': partner_name,
+        'start_date': start_date,
+        'end_date': end_date,
+        'enroll_by': enroll_by,
+        'aggregation_key': aggregation_key,
+        'course_run_key': course_run_key,
+        'language': language,
+        'transcript_languages': transcript_languages,
+        'marketing_url': marketing_url,
+        'short_description': short_description,
+        'subjects': subjects,
+        'skills': skills,
+        'min_effort': min_effort,
+        'max_effort': max_effort,
+        'weeks_to_complete': weeks_to_complete,
+        'outcome': outcome,
+        'advertised_course_run': advertised_course_run,
+        'content_price': content_price
+    }
 
-    csv_row.append(hit.get('language'))
-    csv_row.append(', '.join(hit.get('transcript_languages', [])))
-    csv_row.append(hit.get('marketing_url'))
-    csv_row.append(strip_tags(hit.get('short_description', '')))
 
-    csv_row.append(', '.join(hit.get('subjects', [])))
-    csv_row.append(key)
-    csv_row.append(hit.get('aggregation_key'))
+def course_hit_to_row(hit):
+    """
+    Helper function to construct a CSV row according to a single Algolia result course hit.
+    """
+    row_data = _base_csv_row_data(hit)
+    csv_row = []
+    csv_row.append(row_data.get('title'))
+    csv_row.append(row_data.get('partner_name'))
 
-    skills = [skill['name'] for skill in hit.get('skills', [])]
-    csv_row.append(', '.join(skills))
+    advertised_course_run = row_data.get('advertised_course_run')
+
+    csv_row.append(row_data.get('start_date'))
+    csv_row.append(row_data.get('end_date'))
 
-    advertised_course_run = hit.get('advertised_course_run', {})
-    csv_row.append(advertised_course_run.get('min_effort'))
-    csv_row.append(advertised_course_run.get('max_effort'))
-    csv_row.append(advertised_course_run.get('weeks_to_complete'))  # Length
+    # upgrade_deadline deprecated in favor of enroll_by
+    if upgrade_deadline := advertised_course_run.get('upgrade_deadline'):
+        upgrade_deadline = datetime.datetime.fromtimestamp(upgrade_deadline).strftime(DATE_FORMAT)
+    csv_row.append(upgrade_deadline)
+    csv_row.append(row_data.get('enroll_by'))
+    csv_row.append(', '.join(hit.get('programs', [])))
+    csv_row.append(', '.join(hit.get('program_titles', [])))
 
-    csv_row.append(strip_tags(hit.get('outcome', '')))  # What You’ll Learn
+    pacing_type = advertised_course_run.get('pacing_type')
+    csv_row.append(pacing_type)
+
+    csv_row.append(hit.get('level_type'))
+    csv_row.append(row_data.get('content_price'))
+    csv_row.append(row_data.get('language'))
+    csv_row.append(row_data.get('transcript_languages'))
+    csv_row.append(row_data.get('marketing_url'))
+    csv_row.append(row_data.get('short_description'))
+    csv_row.append(row_data.get('subjects'))
+    csv_row.append(row_data.get('course_run_key'))
+    csv_row.append(row_data.get('aggregation_key'))
+    csv_row.append(row_data.get('skills'))
+    csv_row.append(row_data.get('min_effort'))
+    csv_row.append(row_data.get('max_effort'))
+    csv_row.append(row_data.get('weeks_to_complete'))
+    csv_row.append(row_data.get('outcome'))
 
     csv_row.append(strip_tags(hit.get('prerequisites_raw', '')))  # Pre-requisites
 
@@ -242,75 +276,32 @@ def course_hit_to_row(hit):
     return csv_row
 
 
-def fetch_and_format_registration_date(obj):
-    enroll_by_date = obj.get('registration_deadline')
-    stripped_enroll_by = enroll_by_date.split("T")[0]
-    formatted_enroll_by = None
-    try:
-        enroll_by_datetime_obj = datetime.datetime.strptime(stripped_enroll_by, '%Y-%m-%d')
-        formatted_enroll_by = enroll_by_datetime_obj.strftime('%m-%d-%Y')
-    except ValueError as exc:
-        logger.info(f"Unable to format registration deadline, failed with error: {exc}")
-    return formatted_enroll_by
-
-
 def exec_ed_course_to_row(hit):
     """
     Helper function to construct a CSV row according to a single executive education course hit.
     """
+    row_data = _base_csv_row_data(hit)
     csv_row = []
-    csv_row.append(hit.get('title'))
-
-    if hit.get('partners'):
-        csv_row.append(hit['partners'][0]['name'])
-    else:
-        csv_row.append(None)
-    if hit.get('additional_metadata'):
-        start_date = None
-        additional_md = hit['additional_metadata']
-        if additional_md.get('start_date'):
-            start_date = parser.parse(additional_md['start_date']).strftime(DATE_FORMAT)
-        csv_row.append(start_date)
-
-        end_date = None
-        if additional_md.get('end_date'):
-            end_date = parser.parse(additional_md['end_date']).strftime(DATE_FORMAT)
-        csv_row.append(end_date)
-        formatted_enroll_by = fetch_and_format_registration_date(additional_md)
-    else:
-        csv_row.append(None)  # no start date
-        csv_row.append(None)  # no end date
-        formatted_enroll_by = None
-
-    csv_row.append(formatted_enroll_by)
-
-    adv_course_run = hit.get('advertised_course_run', {})
-    key = adv_course_run.get('key')
-
-    empty_advertised_course_run = {}
-    advertised_course_run = hit.get('advertised_course_run', empty_advertised_course_run)
-    if content_price := advertised_course_run.get('content_price'):
-        content_price = math.trunc(float(content_price))
-    csv_row.append(content_price)
-
-    csv_row.append(hit.get('language'))
-    csv_row.append(', '.join(hit.get('transcript_languages', [])))
-    csv_row.append(hit.get('marketing_url'))
-    csv_row.append(strip_tags(hit.get('short_description', '')))
-
-    csv_row.append(', '.join(hit.get('subjects', [])))
-    csv_row.append(key)
-    csv_row.append(hit.get('aggregation_key'))
-
-    skills = [skill['name'] for skill in hit.get('skills', [])]
-    csv_row.append(', '.join(skills))
-
-    csv_row.append(adv_course_run.get('min_effort'))
-    csv_row.append(adv_course_run.get('max_effort'))
-    csv_row.append(adv_course_run.get('weeks_to_complete'))  # Length
-
-    csv_row.append(strip_tags(hit.get('outcome', '')))  # What You’ll Learn
-
+    csv_row.append(row_data.get('title'))
+    csv_row.append(row_data.get('partners'))
+
+    csv_row.append(row_data.get('start_date'))
+    csv_row.append(row_data.get('end_date'))
+    csv_row.append(row_data.get('enroll_by'))
+
+    csv_row.append(row_data.get('content_price'))
+    csv_row.append(row_data.get('language'))
+    csv_row.append(row_data.get('transcript_languages'))
+    csv_row.append(row_data.get('marketing_url'))
+    csv_row.append(row_data.get('short_description'))
+    csv_row.append(row_data.get('subjects'))
+    csv_row.append(row_data.get('course_run_key'))
+    csv_row.append(row_data.get('aggregation_key'))
+    csv_row.append(row_data.get('skills'))
+    csv_row.append(row_data.get('min_effort'))
+    csv_row.append(row_data.get('max_effort'))
+    csv_row.append(row_data.get('weeks_to_complete'))
+    csv_row.append(row_data.get('outcome'))
     csv_row.append(strip_tags(hit.get('full_description', '')))
 
     return csv_row

enterprise_catalog/apps/api/v1/tests/test_export_utils.py

@@ -15,16 +15,3 @@ def test_retrieve_available_fields(self):
         """
         # assert that ALGOLIA_ATTRIBUTES_TO_RETRIEVE is a SUBSET of ALGOLIA_FIELDS
         assert set(export_utils.ALGOLIA_ATTRIBUTES_TO_RETRIEVE) <= set(algolia_utils.ALGOLIA_FIELDS)
-
-    def test_fetch_and_format_registration_date(self):
-        """
-        Test the export properly fetches executive education registration dates
-        """
-        # expected hit format from algolia, porperly reformatted for csv download
-        assert export_utils.fetch_and_format_registration_date(
-            {'registration_deadline': '2002-02-15T12:12:200'}
-        ) == '02-15-2002'
-        # some other format from algolia, should return None
-        assert export_utils.fetch_and_format_registration_date(
-            {'registration_deadline': '02-15-2015T12:12:200'}
-        ) is None

enterprise_catalog/apps/api/v1/tests/test_views.py

@@ -958,6 +958,7 @@ class EnterpriseCatalogWorkbookViewTests(APITestMixin):
                     "weeks_to_complete": 6,
                     "upgrade_deadline": 32503680000.0,
                     "enroll_by": 32503680000.0,
+                    "content_price": 2843.00
                 },
                 "course_runs": [
 

enterprise_catalog/apps/catalog/algolia_utils.py

@@ -226,7 +226,7 @@ def course_run_not_active_checker():
         return not is_course_run_active(advertised_course_run)
 
     def deadline_passed_checker():
-        return _has_enroll_by_deadline_passed(course_json_metadata, advertised_course_run)
+        return _has_enroll_by_deadline_passed(course_json_metadata)
 
     for should_not_index_function, log_message in (
         (no_advertised_course_run_checker, 'no advertised course run'),
@@ -243,22 +243,13 @@ def deadline_passed_checker():
     return True
 
 
-def _has_enroll_by_deadline_passed(course_json_metadata, advertised_course_run):
+def _has_enroll_by_deadline_passed(course_json_metadata):
     """
     Helper to determine if the enrollment deadline has passed for the given course
-    and advertised course run.  For course metadata records with a `course_type` of "course" (e.g. OCM courses),
-    this is based on the verified upgrade deadline.
-    For 2u exec ed courses, this is based on the registration deadline.
-    """
-    enroll_by_deadline_timestamp = 0
-    if course_json_metadata.get('course_type') == EXEC_ED_2U_COURSE_TYPE:
-        additional_metadata = course_json_metadata.get('additional_metadata') or {}
-        registration_deadline = additional_metadata.get('registration_deadline')
-        if registration_deadline:
-            enroll_by_deadline_timestamp = parse_datetime(registration_deadline).timestamp()
-    else:
-        enroll_by_deadline_timestamp = _get_verified_upgrade_deadline(advertised_course_run)
-
+    based on normalized_metadata's enroll_by_date
+    """
+    enroll_by_deadline = course_json_metadata.get('normalized_metadata')['enroll_by_date']
+    enroll_by_deadline_timestamp = parse_datetime(enroll_by_deadline).timestamp()
     return enroll_by_deadline_timestamp < localized_utcnow().timestamp()