def is_xsrf_token_valid(cls, token, action):
"""Validate a given XSRF token by retrieving it from memcache."""
try:
parts = token.split(cls.DELIMITER_PUBLIC)
if not len(parts) == 2:
raise Exception('Bad token format, expected: a/b.')
issued_on = long(parts[0])
age = time.time() - issued_on
if age > cls.XSRF_TOKEN_AGE_SECS:
return False
authentic_token = cls._create_token(action, issued_on)
if authentic_token == token:
return True
return False
except Exception: # pylint: disable-msg=broad-except
return False
user_str = cls._make_user_str()
token_obj = MemcacheManager.get(token)
if not token_obj:
return False
token_str, token_action = token_obj
if user_str != token_str or action != token_action:
return False
return True
def is_xsrf_token_valid(cls, token, action):
"""Validate a given XSRF token by retrieving it from memcache."""
try:
parts = token.split(cls.DELIMITER_PUBLIC)
if not len(parts) == 2:
raise Exception('Bad token format, expected: a/b.')
issued_on = long(parts[0])
age = time.time() - issued_on
if age > cls.XSRF_TOKEN_AGE_SECS:
return False
authentic_token = cls._create_token(action, issued_on)
if authentic_token == token:
return True
return False
except Exception: # pylint: disable-msg=broad-except
return False
user_str = cls._make_user_str()
token_obj = MemcacheManager.get(token)
if not token_obj:
return False
token_str, token_action = token_obj
if user_str != token_str or action != token_action:
return False
return True
def get_page(cls, page_name, content_lambda):
"""Get page from cache or create page on demand."""
content = MemcacheManager.get(page_name)
if not content:
logging.info('Cache miss: ' + page_name)
content = content_lambda()
MemcacheManager.set(page_name, content)
return content
def test_memcache(self):
self._create_role()
actions.login(STUDENT_EMAIL)
roles.Roles.is_user_allowed(self._get_course(), PERMISSION_MODULE, PERMISSION)
mem_map = MemcacheManager.get(roles.Roles.memcache_key)
self.assertIn(STUDENT_EMAIL, mem_map)
self.assertIn(PERMISSION_MODULE.name, mem_map[STUDENT_EMAIL])
self.assertIn(PERMISSION, mem_map[STUDENT_EMAIL][PERMISSION_MODULE.name])
def get_announcements(cls, allow_cached=True):
items = MemcacheManager.get(cls.memcache_key)
if not allow_cached or items is None:
items = AnnouncementEntity.all().order('-date').fetch(1000)
# TODO(psimakov): prepare to exceed 1MB max item size
# read more here: http://stackoverflow.com
# /questions/5081502/memcache-1-mb-limit-in-google-app-engine
MemcacheManager.set(cls.memcache_key, items)
return items
def test_memcache(self):
self._create_role()
actions.login(STUDENT_EMAIL)
roles.Roles.is_user_allowed(self._get_course(), PERMISSION_MODULE,
PERMISSION)
mem_map = MemcacheManager.get(roles.Roles.memcache_key)
self.assertIn(STUDENT_EMAIL, mem_map)
self.assertIn(PERMISSION_MODULE.name, mem_map[STUDENT_EMAIL])
self.assertIn(PERMISSION,
mem_map[STUDENT_EMAIL][PERMISSION_MODULE.name])
def get_announcements(cls, allow_cached=True):
items = MemcacheManager.get(cls.memcache_key)
if not allow_cached or items is None:
items = AnnouncementEntity.all().order('-date').fetch(1000)
# TODO(psimakov): prepare to exceed 1MB max item size
# read more here: http://stackoverflow.com
# /questions/5081502/memcache-1-mb-limit-in-google-app-engine
MemcacheManager.set(cls.memcache_key, items)
return items
def __init__(self, top_key=None, already_have=[]):
self.top_key = top_key
self.cache = { x.key(): x for x in already_have }
self.prefetch_query = None
self.new_keys_fetched = False
if top_key:
keys_to_prefetch = MemcacheManager.get(self._collection_key)
if keys_to_prefetch:
keys_to_prefetch = set(keys_to_prefetch).difference(map(str, self.cache.keys()))
self.prefetch_query = db.get_async(keys_to_prefetch)
else:
self.new_keys_fetched = len(already_have) > 0
def get_forum_by_url(forumurl):
# number of forums is small, so we cache all of them
forums = memcache.get(FORUMS_MEMCACHE_KEY)
if not forums:
forums = Forum.all().fetch(200) # this effectively limits number of forums to 200
if not forums:
return None
memcache.set(FORUMS_MEMCACHE_KEY, forums)
for forum in forums:
if forumurl == forum.url:
return forum
return None
def __init__(self, top_key=None, already_have=[]):
self.top_key = top_key
self.cache = {x.key(): x for x in already_have}
self.prefetch_query = None
self.new_keys_fetched = False
if top_key:
keys_to_prefetch = MemcacheManager.get(self._collection_key)
if keys_to_prefetch:
keys_to_prefetch = set(keys_to_prefetch).difference(
map(str, self.cache.keys()))
self.prefetch_query = db.get_async(keys_to_prefetch)
else:
self.new_keys_fetched = len(already_have) > 0
def get(cls, student, unit_id):
"""Loads programming answer entity."""
key = cls._create_key(student.user_id, unit_id)
value = MemcacheManager.get(cls._memcache_key(key))
if NO_OBJECT == value:
return None
if not value:
value = cls.get_by_key_name(key)
if value:
MemcacheManager.set(cls._memcache_key(key), value)
else:
MemcacheManager.set(cls._memcache_key(key), NO_OBJECT)
return value
def get_layout(cls):
with Namespace(cls.TARGET_NAMESPACE):
c = MemcacheManager.get(cls._memcache_key(),
namespace=cls.TARGET_NAMESPACE)
if c:
return ExplorerLayoutDTO(c)
c = ExplorerLayout.get_by_key_name(cls.KEY)
if c:
MemcacheManager.set(cls._memcache_key(),
c,
namespace=cls.TARGET_NAMESPACE)
return ExplorerLayoutDTO(c)
else:
return ExplorerLayoutDTO(None)
def get_topics_for_forum(forum, is_moderator, off, count):
off = int(off)
key = topics_memcache_key(forum)
topics = memcache.get(key)
if not topics:
q = Topic.gql("WHERE forum = :1 ORDER BY created_on DESC", forum)
topics = q.fetch(1000)
if topics:
#memcache.set(key, topics) # TODO: should I pickle?
pass # Not caching this for now :(
if not topics:
return (None, 0)
if topics and not is_moderator:
topics = [t for t in topics if not t.is_deleted]
topics = topics[off:off+count]
new_off = off + len(topics)
if len(topics) < count:
new_off = None # signal this is the last page
return (topics, new_off)
def get_teacher_by_email(cls, email):
"""Returns enrolled teacher or None."""
# ehiller - not sure if memcache check is in the right place, feel like we might want to do that after
# checking datastore. this depends on what memcachemanager returns if a teacher hasn't been set there yet but
# still actually exists.
teacher = MemcacheManager.get(cls._memcache_key(email))
if NO_OBJECT == teacher:
return None
if not teacher:
teacher = Teacher.get_by_email(email)
if teacher:
MemcacheManager.set(cls._memcache_key(email), teacher)
else:
MemcacheManager.set(cls._memcache_key(email), NO_OBJECT)
if teacher: # ehiller - removed isEnrolled check, don't think we still need a teacher to be
# enrolled to get their data back
return teacher
else:
return None
def get_activity_scores(cls, student_user_ids, course, force_refresh=True):
"""Retrieve activity data for student using EventEntity.
For each student, launch a Query of EventEntities to retrieve student
scores. The Query is launched as a map-reduce background process that
will return up to 500 results, reporting back every second. It reports
back by calling the map_fn callback, which in turn calls parse_activity
scores.
As soon as the Query is launched (in the background) the foreground
process calls build_missing_scores() to construct a student_answer.dict
that will be updated as score data for that student is received.
Events properties include a userid (a number) and a source (e.g.,
tag-assessement), a recorded-on date (timestamp) and data (a dictionary).
Here's a typeical data dict:
{"loc": {"city": "mililani", "language": "en-US,en;q=0.8", "locale": "en_US",
"country": "US", "region": "hi", "long": -158.01528099999999, "lat": 21.451331,
"page_locale": "en_US"}, "instanceid": "yOkVTqWogdaF", "quid": "5733935958982656",
"score": 1, "location": "https://mobilecsp-201608.appspot.com/mobilecsp/unit?unit=1&lesson=45",
"answer": [0, 1, 2, 4], "type": "McQuestion", "user_agent":
"Mozilla/5.0 ..."}
Note that it includes the unit_id and lesson_id as part of the Url
"""
# Instantiate parser object
cached_date = datetime.datetime.now()
activityParser = ActivityScoreParser()
if force_refresh:
activityParser.params = activityParser.build_additional_mapper_params(
course.app_context)
# Launch a background Query for each student's activity data. This is expensive.
for user_id in student_user_ids:
# if GLOBAL_DEBUG:
logging.debug('***RAM*** launching a query for student ' +
str(user_id))
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]) \
.filter('recorded_on >= ', cls.CUTOFF_DATE), \
batch_size=1000, report_every=1000)
# Callback function -- e.g., 45-50 callbacks per query
def map_fn(activity_attempt):
# if GLOBAL_DEBUG:
# logging.debug('***RAM*** map_fn ' + str(activity_attempt))
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
# In the foreground create the student_answer_dict, which is stored at:
# activity_scores[student][unit][lesson][sequence] where sequence is
# the question's sequential position within the lesson.
# So each question in the lesson will have a question_answer_dict.
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in student_user_ids:
cached_student_data = {}
cached_student_data['date'] = cached_date
student = Student.get_by_user_id(user_id)
cached_student_data[
'scores'] = activityParser.activity_scores.get(
student.email, {})
cached_student_data[
'attempts'] = activityParser.num_attempts_dict.get(
student.email, {})
MemcacheManager.set(
cls._memcache_key_for_student(student.email),
cached_student_data)
else:
uncached_students = []
for student_id in student_user_ids:
if student_id != '':
student = Student.get_by_user_id(student_id)
temp_email = student.email
temp_mem = cls._memcache_key_for_student(temp_email)
scores_for_student = MemcacheManager.get(temp_mem)
if scores_for_student:
cached_date = scores_for_student['date']
activityParser.activity_scores[
student_id] = scores_for_student['scores']
activityParser.num_attempts_dict[
student_id] = scores_for_student['scores']
else:
uncached_students.append(student_id)
if len(uncached_students) > 0:
if cached_date == None or datetime.datetime.now(
) < cached_date:
cached_date = datetime.datetime.now()
activityParser.params = activityParser.build_additional_mapper_params(
course.app_context)
for user_id in uncached_students:
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]) \
.filter('recorded_on >= ', cls.CUTOFF_DATE), \
batch_size=1000, report_every=1000)
def map_fn(activity_attempt):
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in uncached_students:
cached_student_data = {}
cached_student_data['date'] = cached_date
student = Student.get_by_user_id(user_id)
cached_student_data[
'scores'] = activityParser.activity_scores.get(
student.email, {})
MemcacheManager.set(
cls._memcache_key_for_student(student.email),
cached_student_data)
score_data = {}
score_data['date'] = cached_date
score_data['scores'] = activityParser.activity_scores
score_data['attempts'] = activityParser.num_attempts_dict
if GLOBAL_DEBUG:
logging.debug('***RAM*** get_activity_scores returning scores: ' +
str(score_data['scores']))
return score_data
def get_sections(cls, allow_cached=True):
sections = MemcacheManager.get(cls.memcache_key)
if not allow_cached or sections is None:
sections = CourseSectionEntity.all().order('-date').fetch(1000)
MemcacheManager.set(cls.memcache_key, sections)
return sections
def get_activity_scores(cls, student_user_ids, course, force_refresh = True):
"""Retrieve activity data for student using EventEntity.
For each student, launch a Query of EventEntities to retrieve student
scores. The Query is launched as a map-reduce background process that
will return up to 500 results, reporting back every second. It reports
back by calling the map_fn callback, which in turn calls parse_activity
scores.
As soon as the Query is launched (in the background) the foreground
process calls build_missing_scores() to construct a student_answer.dict
that will be updated as score data for that student is received.
Events properties include a userid (a number) and a source (e.g.,
tag-assessement), a recorded-on date (timestamp) and data (a dictionary).
Here's a typeical data dict:
{"loc": {"city": "mililani", "language": "en-US,en;q=0.8", "locale": "en_US",
"country": "US", "region": "hi", "long": -158.01528099999999, "lat": 21.451331,
"page_locale": "en_US"}, "instanceid": "yOkVTqWogdaF", "quid": "5733935958982656",
"score": 1, "location": "https://mobilecsp-201608.appspot.com/mobilecsp/unit?unit=1&lesson=45",
"answer": [0, 1, 2, 4], "type": "McQuestion", "user_agent":
"Mozilla/5.0 ..."}
Note that it includes the unit_id and lesson_id as part of the Url
"""
# Instantiate parser object
cached_date = datetime.datetime.now()
activityParser = ActivityScoreParser()
if force_refresh:
activityParser.params = activityParser.build_additional_mapper_params(course.app_context)
# Launch a background Query for each student's activity data. This is expensive.
for user_id in student_user_ids:
# if GLOBAL_DEBUG:
# logging.debug('***RAM*** launching a query for student ' + str(user_id))
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]) \
.filter('recorded_on >= ', cls.CUTOFF_DATE), \
batch_size=1000, report_every=1000)
# Callback function -- e.g., 45-50 callbacks per query
def map_fn(activity_attempt):
# if GLOBAL_DEBUG:
# logging.debug('***RAM*** map_fn ' + str(activity_attempt))
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
# In the foreground create the student_answer_dict, which is stored at:
# activity_scores[student][unit][lesson][sequence] where sequence is
# the question's sequential position within the lesson.
# So each question in the lesson will have a question_answer_dict.
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in student_user_ids:
cached_student_data = {}
cached_student_data['date'] = cached_date
student = Student.get_by_user_id(user_id)
cached_student_data['scores'] = activityParser.activity_scores.get(student.email, {})
cached_student_data['attempts'] = activityParser.num_attempts_dict.get(student.email, {})
MemcacheManager.set(cls._memcache_key_for_student(student.email),cached_student_data)
else:
uncached_students = []
for student_id in student_user_ids:
if student_id != '':
student = Student.get_by_user_id(student_id)
temp_email = student.email
temp_mem = cls._memcache_key_for_student(temp_email)
scores_for_student = MemcacheManager.get(temp_mem)
if scores_for_student:
cached_date = scores_for_student['date']
activityParser.activity_scores[student_id] = scores_for_student['scores']
activityParser.num_attempts_dict[student_id] = scores_for_student['scores']
else:
uncached_students.append(student_id)
if len(uncached_students) > 0:
if cached_date == None or datetime.datetime.now() < cached_date:
cached_date = datetime.datetime.now()
activityParser.params = activityParser.build_additional_mapper_params(course.app_context)
for user_id in uncached_students:
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]) \
.filter('recorded_on >= ', cls.CUTOFF_DATE), \
batch_size=1000, report_every=1000)
def map_fn(activity_attempt):
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in uncached_students:
cached_student_data = {}
cached_student_data['date'] = cached_date
student = Student.get_by_user_id(user_id)
cached_student_data['scores'] = activityParser.activity_scores.get(student.email, {})
MemcacheManager.set(cls._memcache_key_for_student(student.email),cached_student_data)
score_data = {}
score_data['date'] = cached_date
score_data['scores'] = activityParser.activity_scores
score_data['attempts'] = activityParser.num_attempts_dict
if GLOBAL_DEBUG:
logging.debug('***RAM*** get_activity_scores returning scores: ' + str(score_data['scores']))
return score_data
def get_activity_scores(cls, student_user_ids, course, force_refresh = False):
"""Retrieve activity data for student using EventEntity"""
#instantiate parser object
cached_date = datetime.datetime.now()
activityParser = ActivityScoreParser()
if force_refresh:
activityParser.params = activityParser.build_additional_mapper_params(course.app_context)
for user_id in student_user_ids:
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]), batch_size=500, report_every=1000)
def map_fn(activity_attempt):
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in student_user_ids:
cached_student_data = {}
cached_student_data['date'] = cached_date
cached_student_data['scores'] = activityParser.activity_scores.get(Student.get_student_by_user_id(
user_id).email, {})
MemcacheManager.set(cls._memcache_key_for_student(Student.get_student_by_user_id(user_id).email),
cached_student_data)
else:
uncached_students = []
for student_id in student_user_ids:
scores_for_student = MemcacheManager.get(cls._memcache_key_for_student(Student.get_student_by_user_id(
student_id).email))
if scores_for_student:
cached_date = scores_for_student['date']
activityParser.activity_scores[student_id] = scores_for_student['scores']
else:
uncached_students.append(student_id)
if len(uncached_students) > 0:
if cached_date == None or datetime.datetime.now() < cached_date:
cached_date = datetime.datetime.now()
activityParser.params = activityParser.build_additional_mapper_params(course.app_context)
for user_id in uncached_students:
mapper = models_utils.QueryMapper(
EventEntity.all().filter('user_id in', [user_id]), batch_size=500, report_every=1000)
def map_fn(activity_attempt):
activityParser.parse_activity_scores(activity_attempt)
mapper.run(map_fn)
activityParser.build_missing_scores()
#Lets cache results for each student
for user_id in uncached_students:
cached_student_data = {}
cached_student_data['date'] = cached_date
cached_student_data['scores'] = activityParser.activity_scores.get(Student.get_student_by_user_id(
user_id).email, {})
MemcacheManager.set(cls._memcache_key_for_student(Student.get_student_by_user_id(user_id).email),
cached_student_data)
score_data = {}
score_data['date'] = cached_date
score_data['scores'] = activityParser.activity_scores
return score_data
def get_sections(cls, allow_cached=True):
sections = MemcacheManager.get(cls.memcache_key)
if not allow_cached or sections is None:
sections = CourseSectionEntity.all().order('-date').fetch(1000)
MemcacheManager.set(cls.memcache_key, sections)
return sections
def get(self, *args, **kwargs):
return MemcacheManager.get(*args, **kwargs)
def get(self, *args, **kwargs):
return MemcacheManager.get(*args, **kwargs)
