本文整理匯總了Python中qiita_db.metadata_template.sample_template.SampleTemplate.metadata_headers方法的典型用法代碼示例。如果您正苦於以下問題：Python SampleTemplate.metadata_headers方法的具體用法？Python SampleTemplate.metadata_headers怎麽用？Python SampleTemplate.metadata_headers使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類qiita_db.metadata_template.sample_template.SampleTemplate的用法示例。
在下文中一共展示了SampleTemplate.metadata_headers方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: get
# 需要導入模塊: from qiita_db.metadata_template.sample_template import SampleTemplate [as 別名]
# 或者: from qiita_db.metadata_template.sample_template.SampleTemplate import metadata_headers [as 別名]
def get(self, message="", msg_level=None):
all_emails_except_current = yield Task(self._get_all_emails)
all_emails_except_current.remove(self.current_user.id)
avail_meta = SampleTemplate.metadata_headers() +\
get_table_cols("study")
self.render('list_studies.html',
availmeta=avail_meta,
all_emails_except_current=all_emails_except_current,
message=message,
msg_level=msg_level)示例2: array_agg
# 需要導入模塊: from qiita_db.metadata_template.sample_template import SampleTemplate [as 別名]
# 或者: from qiita_db.metadata_template.sample_template.SampleTemplate import metadata_headers [as 別名]
with TRN:
# a few notes: just getting the preps with duplicated values; ignoring
# column 'sample_id' and tables 'study_sample', 'prep_template',
# 'prep_template_sample'
sql = """SELECT table_name, array_agg(column_name::text)
FROM information_schema.columns
WHERE column_name IN %s
AND column_name != 'sample_id'
AND table_name LIKE 'prep_%%'
AND table_name NOT IN (
'prep_template', 'prep_template_sample')
GROUP BY table_name"""
# note that we are looking for those columns with duplicated names in
# the headers
headers = set(PrepTemplate.metadata_headers()) & \
set(SampleTemplate.metadata_headers())
if headers:
TRN.add(sql, [tuple(headers)])
overlapping = dict(TRN.execute_fetchindex())
else:
overlapping = None
if overlapping is not None:
# finding actual duplicates
for table_name, cols in viewitems(overlapping):
# leaving print so when we patch in the main system we know that
# nothing was renamed or deal with that
print table_name
with TRN:
for c in cols: