Ejemplo n.º 1
0
def unstarred_word(word_id,user_id):
    word = UserWord.query.get(word_id)
    user = User.find_by_id(user_id)
    user.starred_words.remove(word)
    model.db.session.commit()
    print word + " is now *unstarred* for user " + user.name
    return "OK"
Ejemplo n.º 2
0
def unstarred_word(word_id, user_id):
    word = UserWord.query.get(word_id)
    user = User.find_by_id(user_id)
    user.starred_words.remove(word)
    model.db.session.commit()
    print word + " is now *unstarred* for user " + user.name
    return "OK"
Ejemplo n.º 3
0
def _link_teacher_cohort(user_id, cohort_id):
    '''
        Takes user_id and cohort_id and links them together in teacher_cohort_map table.
    '''
    from zeeguu.model import TeacherCohortMap
    user = User.find_by_id(user_id)
    cohort = Cohort.find(cohort_id)
    db.session.add(TeacherCohortMap(user, cohort))
    db.session.commit()
    return 'added teacher_cohort relationship'
def recompute_for_users():
    """

        recomputes only those caches that are already in the table
        and belong to a user. if multiple users have the same preferences
        the computation is donne only for the first because this is how
        recompute_recommender_cache_if_needed does.

        To think about:
        - what happens when this script is triggered simultaneously
        with triggering recompute_recommender_cache_if_needed from
        the UI? will there end up be duplicated recommendations?
        should we add a uninque constraint on (hash x article)?

        Note:

        in theory, the recomputing should be doable independent of users
        in practice, the recompute_recommender_cache takes the user as input.
        for that function to become independent of the user we need to be
        able to recover the ids of the languages, topics, searchers, etc. from the
        content_hash
        to do this their ids would need to be comma separated

        OTOH, in the future we might still want to have a per-user cache
        because the recommendations might be different for each user
        since every user has different language levels!!!

    :param existing_hashes:
    :return:
    """
    already_done = []
    for user_id in User.all_recent_user_ids():
        try:
            user = User.find_by_id(user_id)
            reading_pref_hash = reading_preferences_hash(user)
            if reading_pref_hash not in already_done:
                recompute_recommender_cache_if_needed(user, session)
                print(f"Success for {reading_pref_hash} and {user}")
                already_done.append(reading_pref_hash)
            else:
                print(
                    f"nno need to do for {user}. hash {reading_pref_hash} already done"
                )
        except Exception as e:
            print(f"Failed for user {user}")
Ejemplo n.º 5
0
def starred_word(word_id,user_id):
    word = UserWord.query.get(word_id)
    user = User.find_by_id(user_id)
    user.star(word)
    model.db.session.commit()
    return "OK"
Ejemplo n.º 6
0
def starred_word(word_id, user_id):
    word = UserWord.query.get(word_id)
    user = User.find_by_id(user_id)
    user.star(word)
    model.db.session.commit()
    return "OK"
Ejemplo n.º 7
0
#!/usr/bin/env python
"""

   Script that lists recent users

   To be called from a cron job.

"""

from zeeguu.model import User

for user_id in User.all_recent_user_ids():
    user = User.find_by_id(user_id)
    print(user.name)
    print(user.email)
 def __get_bookmarks_for_user(self, user_id):
     user = User.find_by_id(user_id)
     print('Using user ' + user.name + ' with id ' + str(user.id))
     return user.all_bookmarks()