本文整理汇总了Python中qiita_db.metadata_template.sample_template.SampleTemplate.validate_restrictions方法的典型用法代码示例。如果您正苦于以下问题：Python SampleTemplate.validate_restrictions方法的具体用法？Python SampleTemplate.validate_restrictions怎么用？Python SampleTemplate.validate_restrictions使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qiita_db.metadata_template.sample_template.SampleTemplate的用法示例。
在下文中一共展示了SampleTemplate.validate_restrictions方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: sample_template_overview_handler_get_request
# 需要导入模块: from qiita_db.metadata_template.sample_template import SampleTemplate [as 别名]
# 或者: from qiita_db.metadata_template.sample_template.SampleTemplate import validate_restrictions [as 别名]
def sample_template_overview_handler_get_request(study_id, user):
# Check if the current user has access to the sample template
sample_template_checks(study_id, user)
# Check if the sample template exists
exists = SampleTemplate.exists(study_id)
# The following information should always be provided:
# The files that have been uploaded to the system and can be a
# sample template file
files = [f for _, f, _ in get_files_from_uploads_folders(study_id)
if f.endswith(('txt', 'tsv', 'xlsx'))]
# If there is a job associated with the sample information, the job id
job = None
job_info = r_client.get(SAMPLE_TEMPLATE_KEY_FORMAT % study_id)
if job_info:
job = loads(job_info)['job_id']
# Specific information if it exists or not:
data_types = []
st_fp_id = None
old_files = []
num_samples = 0
num_cols = 0
columns = []
specimen_id_column = None
sample_restrictions = ''
if exists:
# If it exists we need to provide:
# The id of the sample template file so the user can download it and
# the list of old filepaths
st = SampleTemplate(study_id)
all_st_files = st.get_filepaths()
# The current sample template file is the first one in the list
# (pop(0)) and we are interested only in the id ([0])
st_fp_id = all_st_files.pop(0)[0]
# For the old filepaths we are only interested in their basename
old_files = [basename(fp) for _, fp in all_st_files]
# The number of samples - this is a space efficient way of counting
# the number of samples. Doing len(list(st.keys())) creates a list
# that we are not using
num_samples = sum(1 for _ in st.keys())
columns = st.categories()
# The number of columns
num_cols = len(columns)
specimen_id_column = Study(study_id).specimen_id_column
_, sample_restrictions = st.validate_restrictions()
else:
# It doesn't exist, we also need to provide the data_types in case
# the user uploads a QIIME mapping file
data_types = sorted(data_types_get_req()['data_types'])
return {'exists': exists,
'uploaded_files': files,
'data_types': data_types,
'user_can_edit': Study(study_id).can_edit(user),
'job': job,
'download_id': st_fp_id,
'old_files': old_files,
'num_samples': num_samples,
'num_columns': num_cols,
'columns': columns,
'sample_restrictions': sample_restrictions,
'specimen_id_column': specimen_id_column}