def test_add_readme(path):
ds = Dataset(path).rev_create(force=True)
ds.rev_save()
ds.aggregate_metadata()
ok_clean_git(ds.path)
assert_status('ok', ds.add_readme())
# should use default name
eq_(
open(opj(path, 'README.md')).read(), """\
# Dataset "demo_ds"
this is for play
### Authors
- Betty
- Tom
### License
PDDL
## General information
This is a DataLad dataset (id: {id}).
For more information on DataLad and on how to work with its datasets,
see the DataLad documentation at: http://docs.datalad.org
""".format(id=ds.id))
# should skip on re-run
assert_status('notneeded', ds.add_readme())
def test_ds_extraction(path):
from datalad.tests.utils import SkipTest
try:
import libxmp
except ImportError:
raise SkipTest
ds = Dataset(path).rev_create()
copy(testpath, path)
ds.rev_save()
ok_clean_git(ds.path)
res = extract_metadata(
types=['xmp'],
dataset=ds,
# artificially disable extraction from any file in the dataset
files=[])
assert_result_count(
res, 1,
type='dataset', status='ok', action='metadata', path=path, refds=ds.path)
assert_in('xmp', res[0]['metadata'])
# now the more useful case: getting everthing for xmp from a dataset
res = extract_metadata(
types=['xmp'],
dataset=ds)
assert_result_count(res, 2)
assert_result_count(
res, 1,
type='dataset', status='ok', action='metadata', path=path, refds=ds.path)
assert_result_count(
res, 1,
type='file', status='ok', action='metadata', path=opj(path, 'xmp.pdf'),
parentds=ds.path)
for r in res:
assert_in('xmp', r['metadata'])