def to_internal_value(self, data):
question = self.get_question()
polling = question.polling
now = _djtz.localtime(timezone=_djtz.get_default_timezone())
if now < polling.start_time:
self.fail('polling_not_started')
if polling.start_time + polling.duration <= now:
self.fail('polling_ended')
data = super().to_internal_value(data)
data['question'] = question
data = F.select_values(F.complement(F.isnone), data)
logger.debug('QuestionAnswerSerializer.to_internal_value(%r)', data)
if isinstance(question, models.TextQuestion):
kwargs = F.project(data, 'guest_id question text'.split())
rest = F.project(data, F.without(data, *kwargs.keys()))
elif isinstance(question, models.ChoiceQuestion):
kwargs = F.project(data, 'guest_id question choices'.split())
rest = F.project(data, F.without(data, *kwargs.keys()))
else:
self.fail('unknown_question', question=question)
if rest:
self.fail('unknown_fields', fields=dict(rest))
return data
def get_samples_columns(samples):
preferred = [
'id', 'description', 'characteristics_ch1', 'characteristics_ch2'
]
exclude = ['attrs', 'supplementary_file', 'geo_accession']
columns = distinct(icat(s.keys() for s in samples))
return lift(preferred, without(columns, *exclude))
def _create_header(self, header_add):
"""
Creates the header including the initial header and the header_add.
:param header_add: List of strings found from the table to add to the
initial_header.
"""
header = self._initial_header + header_add
header[9] = 'Home'
header.insert(11, 'WinLoss')
return without(header, 'FGP', 'FTP', 'TPP')
def export(request, analysis_id):
analysis = get_object_or_404(Analysis, pk=analysis_id)
qs = MetaAnalysis.objects.filter(analysis=analysis)
fieldnames = without([f.name for f in MetaAnalysis._meta.fields], 'id',
'analysis')
csv = qs.to_dataframe(fieldnames, index='mygene_sym').to_csv()
response = HttpResponse(csv, content_type='text/plain')
filename = re.sub(r'\W+', '-', analysis.analysis_name)
response[
'Content-Disposition'] = 'attachment; filename="%s.csv"' % filename
return response
def _get_file_path(kwargs):
from dvc.dvcfile import DVC_FILE, DVC_FILE_SUFFIX
out = first(
concat(
kwargs.get("outs", []),
kwargs.get("outs_no_cache", []),
kwargs.get("metrics", []),
kwargs.get("metrics_no_cache", []),
kwargs.get("plots", []),
kwargs.get("plots_no_cache", []),
kwargs.get("outs_persist", []),
kwargs.get("outs_persist_no_cache", []),
kwargs.get("checkpoints", []),
without([kwargs.get("live", None)], None),
))
return (os.path.basename(os.path.normpath(out)) +
DVC_FILE_SUFFIX if out else DVC_FILE)
def lift(preferred, seq):
return [col for col in preferred if col in seq] + without(seq, *preferred)
def fetch_annotation_data(series_id, platform_id=None, blind=['id']):
samples = fetch_samples(series_id, platform_id)
samples = remove_constant_fields(samples)
columns = without(get_samples_columns(samples), *blind)
return samples, columns