def index(request, conversation):
statistics = conversation.statistics()
votes = get_raw_votes(conversation)
comments = comments_table(conversation, votes)
participants = participants_table(conversation, votes)
clusters = proxy_seq(
conversation.clusters.all(),
all_votes=votes,
comment_table=cluster_comments_table,
size=lambda x: x.users.count(),
)
# Change agree and disagree comments to add up to 100% with skipped
remaining = 100 - comments['skipped']
comments['agree'] = 0.01 * comments['agree'] * remaining
comments['disagree'] = 0.01 * comments['disagree'] * remaining
# Change agree and disagree participants to add up to 100% with skipped
remaining = 100 - participants['skipped']
participants['agree'] = 0.01 * participants['agree'] * remaining
participants['disagree'] = 0.01 * participants['disagree'] * remaining
response = {
'page_title': _('Report'),
'content_title': hyperlink(conversation),
'conversation': conversation,
'statistics': statistics,
'vote_data': map_to_html_table(statistics['votes']),
'comment_data': map_to_html_table(statistics['comments']),
'comments_table': df_to_table(comments),
'participants_table': df_to_table(participants),
'clusters': clusters,
}
return response
def conversations_with_moderation(user, qs=None):
perm = 'ej.can_moderate_conversation'
kwargs = {
'can_moderate': lambda x: user.has_perm(perm, x)
}
if qs is None:
qs = Conversation.objects.filter(is_promoted=True)
return proxy_seq(qs, user=user, **kwargs)
def index(conversation):
clusters = proxy_seq(
conversation.clusters.all(),
info=cluster_info,
)
return {
'content_title': _('Clusters'),
'conversation': conversation,
'clusters': clusters,
}
def index(request, conversation):
statistics = conversation.statistics()
votes = get_raw_votes(conversation)
comments = comments_table(conversation, votes)
participants = participants_table(conversation, votes)
clusters = proxy_seq(
conversation.clusters.all(),
all_votes=votes,
comment_table=cluster_comments_table,
size=lambda x: x.users.count(),
)
# Change agree and disagree comments to add up to 100% with skipped
remaining = 100 - comments["skipped"]
comments["agree"] = 0.01 * comments["agree"] * remaining
comments["disagree"] = 0.01 * comments["disagree"] * remaining
# Change agree and disagree participants to add up to 100% with skipped
remaining = 100 - participants["skipped"]
participants["agree"] = 0.01 * participants["agree"] * remaining
participants["disagree"] = 0.01 * participants["disagree"] * remaining
if request.GET.get('action') == 'generate_csv':
response = generate_csv(conversation, statistics, votes, comments,
participants, clusters)
elif request.GET.get('action') == 'generate_json':
response = generate_json(conversation, statistics, votes, comments,
participants, clusters)
elif request.GET.get('action') == 'generate_msgpack':
response = generate_msgpack(conversation, statistics, votes, comments,
participants, clusters)
else:
response = {
'page_title': _('Report'),
'content_title': hyperlink(conversation),
'conversation': conversation,
'statistics': statistics,
'vote_data': map_to_html_table(statistics['votes']),
'comment_data': map_to_html_table(statistics['comments']),
'comments_table': df_to_table(comments),
'participants_table': df_to_table(participants),
'clusters': clusters,
}
return response