def process_canvas_course(course):
course_df = pandas.DataFrame([course.attributes])
if config.STORE_DATA_LOCALLY:
file_path = "{}/course.csv".format(get_root_folder())
course_df.to_csv(file_path, index=False)
return course_df
def process_canvas_students(students):
students_df = pandas.DataFrame([student.attributes for student in students])
if config.STORE_DATA_LOCALLY:
file_path = "{}/students.csv".format(get_root_folder())
students_df.to_csv(file_path, index=False)
return students_df
def process_canvas_group_categories(group_categories):
group_categories_df = pandas.DataFrame([group_category.attributes for group_category in group_categories])
if config.STORE_DATA_LOCALLY:
file_path = "{}/group_categories.csv".format(get_root_folder())
group_categories_df.to_csv(file_path, index=False)
return group_categories_df
def process_canvas_sections(sections):
section_data = []
for section in sections:
data = section.attributes
data['students'] = pandas.DataFrame(data['students'])
section_data.append(data)
sections_df = pandas.DataFrame(section_data)
if config.STORE_DATA_LOCALLY:
file_path = "{}/sections.csv".format(get_root_folder())
sections_without_students_df = sections_df.drop(columns=['students'])
sections_without_students_df.to_csv(file_path, index=False)
for index, section in sections_df.iterrows():
file_path = "{}/section_{}_students.csv".format(get_root_folder(), section['id'])
section['students'].to_csv(file_path, index=False)
return sections_df