def add_progress(self, exercises_and_videos): """Take a list of ExerciseAndVideo objects, set per-user progress.""" # We can have many VideoLog entries for a single video. # Args are user, video, seconds watched, last second watched. # We stub out the time here so the database is deterministic. # TODO(csilvers): stub out datetime.datetime.now() and .utcnow() # and set these at some specific time. video_models.VideoLog.add_entry( self.user1, exercises_and_videos.video1, exercises_and_videos.video1.duration / 10, exercises_and_videos.video1.duration / 10 + 1) video_models.VideoLog.add_entry( self.user1, exercises_and_videos.video1, exercises_and_videos.video1.duration / 2, exercises_and_videos.video1.duration / 2 + 2) # TODO(csilvers): make sure the deferred task runs that flushes these. user_exercise1 = self.user1.get_or_insert_exercise( exercises_and_videos.exercise1) exercise_util.attempt_problem( self.user1, user_exercise1, 1, # problem_number 1, # attempt_number "one", # attempt_content "TODO(csilvers)", # sha1 "random_seed", # random seed False, # gotten to the right answer? 0, # number of hints tried 15, # time taken (in seconds?) False, # being done in review mode? False, # being done in topic/power mode? "obsolete", # problem_type "127.0.0.1", # ip address async_problem_log_put=False)
def add_progress(self, exercises_and_videos): """Take a list of ExerciseAndVideo objects, set per-user progress.""" # TODO(csilvers): stub out datetime.datetime.now() and .utcnow() # and set these at some specific time. # We can have many VideoLog entries for a single video. # Args are user, video, seconds watched, last second watched. # We stub out the time here so the database is deterministic. video_models.VideoLog.add_entry( self.user1, exercises_and_videos.exponents.video, exercises_and_videos.exponents.video.duration / 10, exercises_and_videos.exponents.video.duration / 10 + 1) video_models.VideoLog.add_entry( self.user1, exercises_and_videos.exponents.video, exercises_and_videos.exponents.video.duration / 2, exercises_and_videos.exponents.video.duration / 2 + 2) user_exercise1 = self.user1.get_or_insert_exercise( exercises_and_videos.exponents.exercise) exercise_util.attempt_problem(self.user1, user_exercise1, 1, # problem_number 1, # attempt_number "one", # attempt_content -- wrong!! "sha1_unused?", # sha1 "random_seed", # random seed False, # gotten to the right answer? 0, # number of hints tried 15, # time taken (in seconds?) False, # being done in review mode? False, # being done in topic/power mode? "obsolete", # problem_type "127.0.0.1", # ip address async_problem_log_put=False) # He's asking for a hint! exercise_util.attempt_problem(self.user1, user_exercise1, 1, 2, "hint", "sha1", "random_seed2", False, 1, 90, False, False, "obsolete", "127.0.0.1", async_problem_log_put=False) # Ten seconds later (or maybe 100?), he gets it right. exercise_util.attempt_problem(self.user1, user_exercise1, 1, 2, "two", "sha1", "random_seed2", True, 1, 100, False, False, "obsolete", "127.0.0.1", async_problem_log_put=False) # Now he's got it! -- the second problem is a breeze. exercise_util.attempt_problem(self.user1, user_exercise1, 2, 1, "right", "sha1", "random_seed3", True, 0, 10, False, False, "obsolete", "127.0.0.1", async_problem_log_put=False) user_exercise2 = self.user1.get_or_insert_exercise( exercises_and_videos.equations.exercise) for i in xrange(1, 25): # 20 is enough to get a streak badge exercise_util.attempt_problem(self.user1, user_exercise2, i, 1, "firsttry", "sha1", "seed4", True, 0, (30 - i), False, False, "obsolete", "127.0.0.1", async_problem_log_put=False)
def add_progress(self, exercises_and_videos): """Take a list of ExerciseAndVideo objects, set per-user progress.""" # We can have many VideoLog entries for a single video. # Args are user, video, seconds watched, last second watched. # We stub out the time here so the database is deterministic. # TODO(csilvers): stub out datetime.datetime.now() and .utcnow() # and set these at some specific time. video_models.VideoLog.add_entry( self.user1, exercises_and_videos.video1, exercises_and_videos.video1.duration / 10, exercises_and_videos.video1.duration / 10 + 1) video_models.VideoLog.add_entry( self.user1, exercises_and_videos.video1, exercises_and_videos.video1.duration / 2, exercises_and_videos.video1.duration / 2 + 2) # TODO(csilvers): make sure the deferred task runs that flushes these. user_exercise1 = self.user1.get_or_insert_exercise( exercises_and_videos.exercise1) exercise_util.attempt_problem(self.user1, user_exercise1, 1, # problem_number 1, # attempt_number "one", # attempt_content "TODO(csilvers)", # sha1 "random_seed", # random seed False, # gotten to the right answer? 0, # number of hints tried 15, # time taken (in seconds?) False, # being done in review mode? False, # being done in topic/power mode? "obsolete", # problem_type "127.0.0.1", # ip address async_problem_log_put=False)
def test_new_badge_mapreduce(self): # Setting up the data is a bit complicated. First, we have to # have a user do 5 correct exercises in a row, to earn the # easiest streak-badge. But we have to do it in a way that # the code doesn't award the badge right away. Then we can # run the mapreduce, which should award the badge then. To do # this, we stub out the call that would normally award the # badge right away. orig_update_fn = util_badges.update_with_user_exercise try: util_badges.update_with_user_exercise = lambda *args, **kw: None new_user = user_models.UserData.insert_for('badgeuser', '*****@*****.**') exercise = exercise_models.Exercise.get_by_name('exponent_rules') user_exercise = new_user.get_or_insert_exercise(exercise) for i in xrange(1, 10): # 5 is enough, but we'll do 10 exercise_util.attempt_problem(new_user, user_exercise, i, 1, "firsttry", "sha1", "seed", True, 0, 3, False, False, "obsolete", "127.0.0.1", {}, "TEST", "TEST", 1, 7, async_problem_log_put=False, async_stack_log_put=False) finally: util_badges.update_with_user_exercise = orig_update_fn # The badges info should be empty. b = models_badges.UserBadge.all().filter('user ='******'user =', new_user.user).get() self.assertNotEqual(None, b)
def test_new_badge_mapreduce(self): # Setting up the data is a bit complicated. First, we have to # have a user do 5 correct exercises in a row, to earn the # easiest streak-badge. But we have to do it in a way that # the code doesn't award the badge right away. Then we can # run the mapreduce, which should award the badge then. To do # this, we stub out the call that would normally award the # badge right away. orig_update_fn = util_badges.update_with_user_exercise try: util_badges.update_with_user_exercise = lambda *args, **kw: None new_user = user_models.UserData.insert_for('badgeuser', '*****@*****.**') exercise = exercise_models.Exercise.get_by_name('exponent_rules') user_exercise = new_user.get_or_insert_exercise(exercise) for i in xrange(1, 10): # 5 is enough, but we'll do 10 exercise_util.attempt_problem(new_user, user_exercise, i, 1, "firsttry", "sha1", "seed", True, 0, 3, False, False, "obsolete", "127.0.0.1", {}, "TEST", "TEST", 1, 7, async_problem_log_put=False, async_stack_log_put=False) finally: util_badges.update_with_user_exercise = orig_update_fn # The badges info should be empty. b = models_badges.UserBadge.all().filter('user ='******'user =', new_user.user).get() self.assertNotEqual(None, b)