ba1c018a2e
* feat: added get_cross_product_recommendations method * feat: Cross Product Recommendations Logic * fix: lint errors * fix: removed unused utility method get_programs_based_on_course * fix: lint errors * fix: views test case removed decorator * fix: edited serializer to no longer extend from existing * fix: included mocked data for tests and handled empty discovery responses * fix: removed settings import * test: add module docstring * test: removed log resultitng in failure * fix: moved recommendations dictionary to settings variable * fix: cleaned up logic for Cross Product Recommendations view * refactor: requested changes to view and serializer tests * fix: fixed list passed into serializer in cross product view * fix: added query string to course query and removed production course keys * fix: moved query string argument value to separate variable
155 lines
5.0 KiB
Python
155 lines
5.0 KiB
Python
"""Tests for serializers for the Learner Recommendations"""
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from uuid import uuid4
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from django.test import TestCase
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from lms.djangoapps.learner_recommendations.serializers import (
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DashboardRecommendationsSerializer,
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CrossProductRecommendationsSerializer
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)
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from lms.djangoapps.learner_recommendations.tests.test_data import mock_course_data
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class TestDashboardRecommendationsSerializer(TestCase):
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"""High-level tests for DashboardRecommendationsSerializer"""
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@classmethod
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def mock_recommended_courses(cls, courses_count=2):
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"""Sample course data"""
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recommended_courses = []
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for _ in range(courses_count):
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recommended_courses.append(
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{
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"course_key": str(uuid4()),
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"logo_image_url": "http://edx.org/images/test.png",
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"marketing_url": "http://edx.org/courses/AI",
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"title": str(uuid4()),
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},
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)
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return recommended_courses
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def test_no_recommended_courses(self):
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"""That that data serializes correctly for empty courses list"""
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recommended_courses = self.mock_recommended_courses(courses_count=0)
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output_data = DashboardRecommendationsSerializer(
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{
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"courses": recommended_courses,
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}
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).data
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self.assertDictEqual(
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output_data,
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{
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"courses": [],
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"isControl": None,
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},
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)
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def test_happy_path(self):
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"""Test that data serializes correctly"""
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recommended_courses = self.mock_recommended_courses()
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output_data = DashboardRecommendationsSerializer(
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{
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"courses": recommended_courses,
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"is_control": False,
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}
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).data
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self.assertDictEqual(
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output_data,
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{
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"courses": [
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{
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"courseKey": recommended_courses[0]["course_key"],
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"logoImageUrl": recommended_courses[0]["logo_image_url"],
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"marketingUrl": recommended_courses[0]["marketing_url"],
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"title": recommended_courses[0]["title"],
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},
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{
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"courseKey": recommended_courses[1]["course_key"],
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"logoImageUrl": recommended_courses[1]["logo_image_url"],
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"marketingUrl": recommended_courses[1]["marketing_url"],
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"title": recommended_courses[1]["title"],
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},
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],
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"isControl": False,
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},
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)
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class TestCrossProductRecommendationsSerializer(TestCase):
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"""Tests for the Cross Product Recommendations Serializer"""
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def mock_recommended_courses(self, num_of_courses):
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"""Course data mock"""
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recommended_courses = []
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for index in range(num_of_courses):
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recommended_courses.append(
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{
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"key": f"edx+HL{index}",
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"uuid": f"{index}f8cb2c9-589b-4d1e-88c1-b01a02db3a9c",
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"title": f"Title {index}",
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"image": {
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"src": f"https://www.logo_image_url{index}.com",
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},
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"url_slug": f"https://www.marketing_url{index}.com",
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"course_type": "executive-education",
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"owners": [
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{
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"key": f"org-{index}",
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"name": f"org {index}",
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"logo_image_url": f"https://discovery.com/organization/logos/org-{index}.png",
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},
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],
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"course_runs": [
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{
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"key": f"course-v1:Test+2023_T{index}",
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"marketing_url": f"https://www.marketing_url{index}.com",
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"availability": "Current",
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}
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],
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"active_course_run": {
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"key": f"course-v1:Test+2023_T{index}",
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"marketing_url": f"https://www.marketing_url{index}.com",
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"availability": "Current",
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},
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"location_restriction": None
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},
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)
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return recommended_courses
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def test_successful_serialization(self):
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courses = self.mock_recommended_courses(num_of_courses=2)
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serialized_data = CrossProductRecommendationsSerializer({
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"courses": courses
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}).data
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self.assertDictEqual(
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serialized_data,
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mock_course_data
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)
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def test_no_course_data_serialization(self):
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serialized_data = CrossProductRecommendationsSerializer({
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"courses": []
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}).data
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self.assertDictEqual(
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serialized_data,
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{
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"courses": []
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},
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)
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