def _course_search(search_phrase):
term_id = current_term_id()
course_rows = []
def _compress_to_alphanumeric(s):
return ''.join(e for e in s if e.isalnum())
words = search_phrase.rsplit(' ', 1)
if len(words) == 1:
candidate_subject_area = None
candidate_catalog_id = words[0]
else:
candidate_subject_area = words[0]
candidate_catalog_id = words[1]
# If the search phrase appears to contain a catalog id, set up the course search that way.
if any(c.isdigit() for c in candidate_catalog_id):
subject_area = candidate_subject_area and _compress_to_alphanumeric(
candidate_subject_area).upper()
catalog_id = candidate_catalog_id.upper()
course_rows = get_enrolled_primary_sections_for_parsed_code(
term_id, subject_area, catalog_id)
# Otherwise just compress the search phrase to alphanumeric characters and look for a simple match.
else:
compressed_search_phrase = _compress_to_alphanumeric(search_phrase)
if compressed_search_phrase:
course_rows = get_enrolled_primary_sections(
term_id, compressed_search_phrase.upper())
courses = []
if course_rows:
for row in islice(course_rows, 50):
courses.append({
'termId': row['term_id'],
'sectionId': row['sis_section_id'],
'courseName': row['sis_course_name'],
'courseTitle': row['sis_course_title'],
'instructionFormat': row['sis_instruction_format'],
'sectionNum': row['sis_section_num'],
'instructors': row['instructors'],
})
return {
'courses': courses,
'totalCourseCount': len(course_rows),
}
def test_get_enrolled_primary_sections(self, app):
sections = data_loch.get_enrolled_primary_sections('2178', 'MATH1')
assert len(sections) == 6
for section in sections:
assert section['term_id'] == '2178'
assert section['sis_course_name'].startswith('MATH 1')