Testing

Test Suites

test_predict.py

Here test cases are written to check if the recommendations made by PopcornPicks are of good quality. For example, for a movie input of "Spider-Man (2002)" and rating 5.0, the recommender returns "Masters of the Universe (1987)", which is a fair recommendation.

test_search.py

Here test cases are written to check if the movie-searching feature of PopcornPicks returns similar outputs to the input string! For example, for keyword "love" the top-10 searches that PopcornPicks returns consist of the word "Love" making it related to the input keyword.

test_util.py

Here test cases are written to check the functionality of the email notifier feature, i.e., for every function corresponding to the feature - test_beautify_feedback_data(), test_create_colored_tags(), test_create_movie_genres() and test_send_email_to_user()

test_restAPI

Here test cases are written to check the functionality of all the REST APIs. These are the new APIs which include login_user(), create_user(), get_watchlist(), add_to_watchlist() and delete_from_watchlist()

Running tests manually

Navigate to the tests folder and execute the following commands/ $pytest test_restAPI.py/ $pytest test_predict.py/ $pytest test_search.py/ $pytest test_utils.py/