def communities(self, offset=0, limit=40):
from smarttypes.model.twitter_community import TwitterCommunity
communities = TwitterCommunity.get_by_name_value(
'reduction_id', self.id, self.postgres_handle)
communities = sorted(communities,
key=lambda k: k.community_score,
reverse=True)
return communities[offset:offset + limit]
thumb_filepath = 'io/%s_thumb.png' % root_user.screen_name
plot_graph(g, layout, filepath, size_tup=(600, 600))
#need to adjust vs['size'] if i want to do this
#plot_graph(g, layout, thumb_filepath, size_tup=(50, 50))
if not smarttypes.config.IS_PROD:
os.system('cp io/%s*.png /home/timmyt/projects/smarttypes/smarttypes/static/images/maps/.' % root_user.screen_name)
else:
os.system('scp io/%s*.png cottie:/home/timmyt/projects/smarttypes/smarttypes/static/images/maps/.' % root_user.screen_name)
print 'save to disk'
twitter_reduction = TwitterReduction.create_reduction(root_user.id, postgres_handle)
postgres_handle.connection.commit()
for community_idx, values_dict in community_stats.items():
#params:
#reduction_id, index, center_coordinate, member_ids,
#global_pagerank, community_pagerank, hybrid_pagerank
if community_idx > 0:
TwitterCommunity.create_community(twitter_reduction.id, community_idx,
values_dict['center_coordinate'], values_dict['member_ids'], values_dict['global_pagerank'],
values_dict['community_pagerank'], values_dict['hybrid_pagerank'], postgres_handle)
postgres_handle.connection.commit()
TwitterCommunity.mk_tag_clouds(twitter_reduction.id, postgres_handle)
postgres_handle.connection.commit()
#how long
print datetime.now() - start_time
tru.user_id = member_ids[i]
tru.coordinates = Point(coordinates[i][0], coordinates[i][1])
tru.pagerank = global_pagerank[i]
tru.hybrid_pagerank = hybrid_pagerank[i]
reduction_users.append(tru.save())
postgres_handle.connection.commit()
print "save communities"
communities = []
for i in range(len(vertex_clustering)):
member_idxs = vertex_clustering[i]
if i != 0:
print "community: %s, community_score: %s, members: %s" % (i,
community_score[member_idxs][0], len(member_idxs))
community = TwitterCommunity.create_community(reduction.id, i, member_idxs,
member_ids[member_idxs].tolist(), MultiPoint(coordinates[member_idxs]),
community_score[member_idxs][0], community_pagerank[member_idxs].tolist(), postgres_handle)
communities.append(community)
postgres_handle.connection.commit()
else:
print 'community 0 has %s members' % len(member_idxs)
#render tiles
os.system('python render_tiles.py')
#how long
print datetime.now() - start_time
tru.reduction_id = reduction.id
tru.user_id = member_ids[i]
tru.coordinates = Point(coordinates[i][0], coordinates[i][1])
tru.pagerank = global_pagerank[i]
tru.hybrid_pagerank = hybrid_pagerank[i]
reduction_users.append(tru.save())
postgres_handle.connection.commit()
print "save communities"
communities = []
for i in range(len(vertex_clustering)):
member_idxs = vertex_clustering[i]
if i != 0:
print "community: %s, community_score: %s, members: %s" % (
i, community_score[member_idxs][0], len(member_idxs))
community = TwitterCommunity.create_community(
reduction.id, i, member_idxs, member_ids[member_idxs].tolist(),
MultiPoint(coordinates[member_idxs]),
community_score[member_idxs][0],
community_pagerank[member_idxs].tolist(), postgres_handle)
communities.append(community)
postgres_handle.connection.commit()
else:
print 'community 0 has %s members' % len(member_idxs)
#render tiles
os.system('python render_tiles.py')
#how long
print datetime.now() - start_time
def communities(self, offset=0, limit=40):
from smarttypes.model.twitter_community import TwitterCommunity
communities = TwitterCommunity.get_by_name_value("reduction_id", self.id, self.postgres_handle)
communities = sorted(communities, key=lambda k: k.community_score, reverse=True)
return communities[offset : offset + limit]