Files
edx-platform/lms/djangoapps/learner_home/recommendations/views.py
2023-04-11 11:17:29 +05:00

130 lines
5.0 KiB
Python

"""
Views for Course Recommendations in Learner Home
"""
import logging
from django.conf import settings
from ipware.ip import get_client_ip
from edx_rest_framework_extensions.auth.jwt.authentication import JwtAuthentication
from edx_rest_framework_extensions.auth.session.authentication import (
SessionAuthenticationAllowInactiveUser,
)
from edx_rest_framework_extensions.permissions import NotJwtRestrictedApplication
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from common.djangoapps.student.toggles import show_fallback_recommendations
from common.djangoapps.track import segment
from openedx.core.djangoapps.geoinfo.api import country_code_from_ip
from lms.djangoapps.learner_home.recommendations.serializers import (
CourseRecommendationSerializer,
)
from lms.djangoapps.learner_home.recommendations.waffle import (
should_show_learner_home_amplitude_recommendations,
)
from lms.djangoapps.learner_recommendations.utils import (
filter_recommended_courses,
get_amplitude_course_recommendations,
is_user_enrolled_in_ut_austin_masters_program,
)
logger = logging.getLogger(__name__)
class CourseRecommendationApiView(APIView):
"""
API to get personalized recommendations from Amplitude.
**Example Request**
GET /api/learner_home/recommendation/courses/
"""
authentication_classes = (
JwtAuthentication,
SessionAuthenticationAllowInactiveUser,
)
permission_classes = (IsAuthenticated, NotJwtRestrictedApplication)
def get(self, request):
"""
Retrieves course recommendations details.
"""
if not should_show_learner_home_amplitude_recommendations():
return Response(status=404)
user_id = request.user.id
if is_user_enrolled_in_ut_austin_masters_program(request.user):
return self._recommendations_response(user_id, None, [], False)
fallback_recommendations = settings.GENERAL_RECOMMENDATIONS if show_fallback_recommendations() else []
try:
is_control, has_is_control, course_keys = get_amplitude_course_recommendations(
user_id, settings.DASHBOARD_AMPLITUDE_RECOMMENDATION_ID
)
except Exception as ex: # pylint: disable=broad-except
logger.warning(f"Cannot get recommendations from Amplitude: {ex}")
return self._recommendations_response(user_id, None, fallback_recommendations, False)
is_control = is_control if has_is_control else None
if is_control or is_control is None or not course_keys:
return self._recommendations_response(user_id, is_control, fallback_recommendations, False)
ip_address = get_client_ip(request)[0]
user_country_code = country_code_from_ip(ip_address).upper()
filtered_courses = filter_recommended_courses(
request.user, course_keys, user_country_code=user_country_code, recommendation_count=5
)
# If no courses are left after filtering already enrolled courses from
# the list of amplitude recommendations, show general recommendations
# to the user.
if not filtered_courses:
return self._recommendations_response(user_id, is_control, fallback_recommendations, False)
recommended_courses = list(map(self._course_data, filtered_courses))
return self._recommendations_response(user_id, is_control, recommended_courses, True)
def _emit_recommendations_viewed_event(
self, user_id, is_control, recommended_courses, amplitude_recommendations=True
):
"""Emits an event to track Learner Home page visits."""
segment.track(
user_id,
"edx.bi.user.recommendations.viewed",
{
"is_control": is_control,
"amplitude_recommendations": amplitude_recommendations,
"course_key_array": [course["course_key"] for course in recommended_courses],
"page": "dashboard",
},
)
def _recommendations_response(self, user_id, is_control, recommended_courses, amplitude_recommendations):
""" Helper method for general recommendations response. """
self._emit_recommendations_viewed_event(
user_id, is_control, recommended_courses, amplitude_recommendations
)
return Response(
CourseRecommendationSerializer(
{
"courses": recommended_courses,
"is_control": is_control,
}
).data,
status=200,
)
def _course_data(self, course):
"""Helper method for personalized recommendation response"""
return {
"course_key": course.get("key"),
"title": course.get("title"),
"logo_image_url": course.get("owners")[0]["logo_image_url"] if course.get(
"owners") else "",
"marketing_url": course.get("marketing_url"),
}