def __init__(self):
from eureka.domain.repositories import (CommentRepository,
IdeaRepository, UserRepository,
VoteIdeaRepository)
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
def __init__(self):
from eureka.domain.repositories import (
CommentRepository, IdeaRepository,
UserRepository, VoteIdeaRepository
)
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
class StatisticsService(Unpicklable):
"""
Service that compute statistics
"""
def __init__(self):
from eureka.domain.repositories import (CommentRepository,
IdeaRepository, UserRepository,
VoteIdeaRepository)
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
@cached
def _active_users(self):
# Users enabled and who have logged in at least once
return set(self.user_repository.get_active())
@cached
def _votes(self):
return set(self.vote_idea_repository.get_all())
@cached
def _votes_by_challenge(self):
votes_by_challenge = collections.defaultdict(set)
for k, v in itertools.groupby(self._votes(),
lambda v: v.idea.challenge):
votes_by_challenge[k].update(set(v))
return votes_by_challenge
@cached
def _comments(self):
return set(self.comment_repository.get_all())
@cached
def _comments_by_challenge(self):
comments_by_challenge = collections.defaultdict(set)
for k, v in itertools.groupby(self._comments(),
lambda c: c.idea.challenge):
comments_by_challenge[k].update(set(v))
return comments_by_challenge
@cached
def _ideas(self):
return set(self.idea_repository.get_published_ideas())
@cached
def _ideas_by_challenge(self):
ideas_by_challenge = collections.defaultdict(set)
for i in self._ideas():
ideas_by_challenge[i.challenge].add(i)
return ideas_by_challenge
def get_users_statistics_on_connections(self, users, after_date=None):
intersection = users.intersection(self._active_users())
if after_date:
return len([
u for u in intersection if u.last_connection_date > after_date
])
else:
return len(intersection)
def get_users_statistics_on_ideas(self,
users,
after_date=None,
challenge=NO_FILTER):
ideas = (self._ideas_by_challenge()[challenge]
if challenge is not NO_FILTER else self._ideas())
ideas = set(i for i in ideas if not set(i.authors).isdisjoint(users))
if after_date:
ideas = [
idea for idea in ideas if idea.wf_context.publication_date
and idea.wf_context.publication_date > after_date
]
unique_authors = set(author for idea in ideas
for author in idea.authors if author in users)
return len(ideas), len(unique_authors)
def get_users_statistics_on_votes(self,
users,
after_date=None,
challenge=NO_FILTER):
votes = (self._votes_by_challenge()[challenge]
if challenge is not NO_FILTER else self._votes())
votes = set(v for v in votes if v.user in users)
if after_date:
votes = set(v for v in votes
if v.timestamp and v.timestamp > after_date)
unique_voters = set(vote.user for vote in votes)
return len(votes), len(unique_voters)
def get_users_statistics_on_comments(self,
users,
after_date=None,
challenge=NO_FILTER):
comments = (self._comments_by_challenge()[challenge]
if challenge is not NO_FILTER else self._comments())
if after_date:
comments = set(
c for c in comments
if c.submission_date and c.submission_date > after_date)
comments = set(c for c in comments if c.created_by in users)
unique_commentators = set(comment.created_by for comment in comments)
return len(comments), len(unique_commentators)
def get_users_statistics(self,
users,
after_date=None,
challenge=NO_FILTER):
"""
Compute various statistics for a given group of users,
returns an instance of UsersStatistics
"""
users = set(users)
# first connections
nb_connected_users = self.get_users_statistics_on_connections(
users, after_date)
# ideas
total_ideas, nb_authors = self.get_users_statistics_on_ideas(
users, after_date, challenge)
# votes
total_votes, nb_voters = self.get_users_statistics_on_votes(
users, after_date, challenge)
# comments
total_comments, nb_commentators = (
self.get_users_statistics_on_comments(users, after_date,
challenge))
return UsersStatistics(
nb_connected=nb_connected_users,
total_ideas=total_ideas,
nb_authors=nb_authors,
total_votes=total_votes,
nb_voters=nb_voters,
total_comments=total_comments,
nb_commentators=nb_commentators,
)
def get_users_points_statistics(self, users):
"""Compute statistics on users points"""
statistics = {}
users_status_levels = [(user, user.status_level_label)
for user in users if user]
for user, level in users_status_levels:
statistics.setdefault(level, []).append(user)
return statistics
class StatisticsService(Unpicklable):
"""
Service that compute statistics
"""
def __init__(self):
from eureka.domain.repositories import (
CommentRepository, IdeaRepository,
UserRepository, VoteIdeaRepository
)
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
@cached
def _active_users(self):
# Users enabled and who have logged in at least once
return set(self.user_repository.get_active())
@cached
def _votes(self):
return set(self.vote_idea_repository.get_all())
@cached
def _votes_by_challenge(self):
votes_by_challenge = collections.defaultdict(set)
for k, v in itertools.groupby(
self._votes(),
lambda v: v.idea.challenge):
votes_by_challenge[k].update(set(v))
return votes_by_challenge
@cached
def _comments(self):
return set(self.comment_repository.get_all())
@cached
def _comments_by_challenge(self):
comments_by_challenge = collections.defaultdict(set)
for k, v in itertools.groupby(
self._comments(), lambda c: c.idea.challenge):
comments_by_challenge[k].update(set(v))
return comments_by_challenge
@cached
def _ideas(self):
return set(self.idea_repository.get_published_ideas())
@cached
def _ideas_by_challenge(self):
ideas_by_challenge = collections.defaultdict(set)
for i in self._ideas():
ideas_by_challenge[i.challenge].add(i)
return ideas_by_challenge
def get_users_statistics_on_connections(self, users, after_date=None):
intersection = users.intersection(self._active_users())
if after_date:
return len([u for u in intersection
if u.last_connection_date > after_date])
else:
return len(intersection)
def get_users_statistics_on_ideas(self, users, after_date=None,
challenge=NO_FILTER):
ideas = (
self._ideas_by_challenge()[challenge]
if challenge is not NO_FILTER
else self._ideas()
)
ideas = set(i for i in ideas if not set(i.authors).isdisjoint(users))
if after_date:
ideas = [
idea for idea in ideas
if idea.wf_context.publication_date
and idea.wf_context.publication_date > after_date
]
unique_authors = set(
author for idea in ideas
for author in idea.authors
if author in users
)
return len(ideas), len(unique_authors)
def get_users_statistics_on_votes(self, users, after_date=None,
challenge=NO_FILTER):
votes = (
self._votes_by_challenge()[challenge]
if challenge is not NO_FILTER
else self._votes()
)
votes = set(v for v in votes if v.user in users)
if after_date:
votes = set(
v for v in votes
if v.timestamp and v.timestamp > after_date
)
unique_voters = set(vote.user for vote in votes)
return len(votes), len(unique_voters)
def get_users_statistics_on_comments(self, users, after_date=None,
challenge=NO_FILTER):
comments = (
self._comments_by_challenge()[challenge]
if challenge is not NO_FILTER
else self._comments()
)
if after_date:
comments = set(
c for c in comments
if c.submission_date and c.submission_date > after_date
)
comments = set(c for c in comments if c.created_by in users)
unique_commentators = set(comment.created_by for comment in comments)
return len(comments), len(unique_commentators)
def get_users_statistics(self, users, after_date=None,
challenge=NO_FILTER):
"""
Compute various statistics for a given group of users,
returns an instance of UsersStatistics
"""
users = set(users)
# first connections
nb_connected_users = self.get_users_statistics_on_connections(
users, after_date
)
# ideas
total_ideas, nb_authors = self.get_users_statistics_on_ideas(
users, after_date, challenge
)
# votes
total_votes, nb_voters = self.get_users_statistics_on_votes(
users, after_date, challenge
)
# comments
total_comments, nb_commentators = (
self.get_users_statistics_on_comments(users, after_date, challenge)
)
return UsersStatistics(
nb_connected=nb_connected_users,
total_ideas=total_ideas,
nb_authors=nb_authors,
total_votes=total_votes,
nb_voters=nb_voters,
total_comments=total_comments,
nb_commentators=nb_commentators,
)
def get_users_points_statistics(self, users):
"""Compute statistics on users points"""
statistics = {}
users_status_levels = [
(user, user.status_level_label)
for user in users if user
]
for user, level in users_status_levels:
statistics.setdefault(level, []).append(user)
return statistics
def __init__(self):
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
def comments_and_scores(self, date, max_results):
q = CommentRepository().get_most_voted_comments(date)
if max_results:
q = q.limit(max_results)
return q
def __init__(self):
self.user_repository = UserRepository()
self.idea_repository = IdeaRepository()
self.vote_idea_repository = VoteIdeaRepository()
self.comment_repository = CommentRepository()
def comments_and_scores(self, date, max_results):
q = CommentRepository().get_most_voted_comments(date)
if max_results:
q = q.limit(max_results)
return q