本文整理汇总了Python中tardis.tardis_portal.models.Dataset_File.dataset方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset_File.dataset方法的具体用法？Python Dataset_File.dataset怎么用？Python Dataset_File.dataset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tardis.tardis_portal.models.Dataset_File的用法示例。
在下文中一共展示了Dataset_File.dataset方法的2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: add_staged_file_to_dataset
# 需要导入模块: from tardis.tardis_portal.models import Dataset_File [as 别名]
# 或者: from tardis.tardis_portal.models.Dataset_File import dataset [as 别名]
def add_staged_file_to_dataset(rel_filepath, dataset_id, username,
mimetype="application/octet-stream"):
"""
add file in user's staging path to a dataset
may be replaced by main code functions.
quick and dirty hack to get it working
"""
originfilepath = os.path.join(get_full_staging_path(username), rel_filepath)
dataset = Dataset.objects.get(pk=dataset_id)
newDatafile = Dataset_File()
newDatafile.dataset = dataset
newDatafile.size = os.path.getsize(originfilepath)
newDatafile.protocol = "tardis"
newDatafile.mimetype = mimetype
file_dir = "/" + str(dataset.experiment.id) + "/" + str(dataset.id) + "/"
file_path = file_dir + rel_filepath
prelim_full_file_path = settings.FILE_STORE_PATH + file_path
full_file_path = duplicate_file_check_rename(prelim_full_file_path)
newDatafile.filename = os.path.basename(full_file_path)
newDatafile.url = "%s://%s" % (newDatafile.protocol,
full_file_path[
len(settings.FILE_STORE_PATH) + len(file_dir):])
if not os.path.exists(os.path.dirname(full_file_path)):
os.makedirs(os.path.dirname(full_file_path))
shutil.move(originfilepath, full_file_path)
newDatafile.save()示例2: _make_data_file
# 需要导入模块: from tardis.tardis_portal.models import Dataset_File [as 别名]
# 或者: from tardis.tardis_portal.models.Dataset_File import dataset [as 别名]
def _make_data_file(dataset, filename, content):
# TODO:
# create datasetfile
f = mktemp()
print "Inside make data file ", f
open(f, "w+b").write(content)
df = Dataset_File()
df.dataset = dataset
df.filename = filename
df.url = 'file://'+f
df.protocol = "staging"
df.size = len(content)
df.verify(allowEmptyChecksums=True)
df.save()
print "Df ---", df