def test_something(path, new_home):
ds = Dataset(opj(path, 'ds')).create(force=True)
ds.save()
# catches unsupported argument combinations
assert_raises(ValueError, ds.configuration, 'dump', spec='some')
assert_raises(ValueError, ds.configuration, 'dump', scope='dataset')
assert_raises(ValueError, ds.configuration, 'set', spec=('onlyname', ))
assert_raises(ValueError, ds.configuration, 'set', spec='nosection=value')
# we also get that from the internal helper
from datalad.local.configuration import configuration as cfghelper
assert_in_results(
cfghelper('set', 'global', [('nosection', 'value')], {}),
status='error',
)
assert_raises(ValueError, ds.configuration, 'invalid')
res = ds.configuration(result_renderer='disabled')
assert_in_results(res, name='something.user.name', value='Jane Doe')
# UTF handling
assert_in_results(res,
name=u'onemore.complicated の beast with.dot.findme',
value='5.0')
res = ds.configuration(
'set',
spec='some.more=test',
result_renderer='disabled',
)
assert_in_results(res, name='some.more', value='test')
# Python tuple specs
# swallow outputs to be able to execise the result renderer
with swallow_outputs():
res = ds.configuration(
'set',
spec=[
('some.more.still', 'test2'),
# value is non-str -- will be converted
('lonely.val', 4)
],
)
assert_in_results(res, name='some.more.still', value='test2')
assert_in_results(res, name='lonely.val', value='4')
assert_in_results(
ds.configuration('get', spec='lonely.val'),
status='ok',
name='lonely.val',
value='4',
)
# remove something that does not exist in the specified scope
assert_in_results(ds.configuration('unset',
scope='dataset',
spec='lonely.val',
result_renderer='disabled',
on_failure='ignore'),
status='error')
# remove something that does not exist in the specified scope
assert_in_results(ds.configuration('unset',
spec='lonely.val',
result_renderer='disabled'),
status='ok')
assert_not_in('lonely.val', ds.config)
# errors if done again
assert_in_results(ds.configuration('unset',
spec='lonely.val',
result_renderer='disabled',
on_failure='ignore'),
status='error')
# add a subdataset to test recursive operation
subds = ds.create('subds')
with swallow_outputs():
res = ds.configuration('set', spec='rec.test=done', recursive=True)
assert_result_count(
res,
2,
name='rec.test',
value='done',
)
# exercise the result renderer
with swallow_outputs() as cml:
ds.configuration(recursive=True)
# we get something on the subds with the desired markup
assert_in('<ds>/subds:rec.test=done', cml.out)
