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)