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 index(conversation):
statistics = conversation.statistics()
votes = get_raw_votes(conversation)
math = VoteStats(votes)
return {
'title': _('Report'),
'content_title': hyperlink(conversation),
'conversation': conversation,
'statistics': statistics,
'vote_data': map_to_table(statistics['votes']),
'comment_data': map_to_table(statistics['comments']),
'comments_table': df_to_table(math.comments(pc=True)),
'participants_table': df_to_table(math.users(pc=True)),
}
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
def menu_item(item):
# add role="menuitem" in the future?
if hasattr(item, "__html__"):
return item
else:
return hyperlink(item)
def menu_item(item):
if hasattr(item, "__html__"):
return item
else:
return hyperlink(item)
def test_hyperlink_not_supported(self):
with pytest.raises(TypeError):
hyperlink(hyperlink)
def test_hyperlink_examples(self):
link = '<a href="bar">foo</a>'
assert hyperlink('foo<#>').render() == '<a href="#">foo</a>'
assert hyperlink('foo', 'bar').render() == link
assert hyperlink({'href': 'bar', 'content': 'foo'}).render() == link
assert hyperlink('foo', **{'href': 'bar'}).render() == link