def test_basics(path):
ds = Dataset(path).create(force=True)
# TODO: this procedure would leave a clean dataset, but `run` cannot handle dirty
# input yet, so manual for now
# V6FACT: this leaves the file staged, but not committed
ds.add('code', to_git=True)
# V6FACT: even this leaves it staged
ds.add('.')
# V6FACT: but this finally commits it
ds.save()
# TODO remove above two lines
ds.run_procedure('setup_yoda_dataset')
ok_clean_git(ds.path)
# configure dataset to look for procedures in its code folder
ds.config.add('datalad.locations.dataset-procedures',
'code',
where='dataset')
# configure dataset to run the demo procedure prior to the clean command
ds.config.add('datalad.clean.proc-pre',
'datalad_test_proc',
where='dataset')
# run command that should trigger the demo procedure
ds.clean()
# look for traces
ok_file_has_content(op.join(ds.path, 'fromproc.txt'), 'hello\n')
ok_clean_git(ds.path, index_modified=[op.join('.datalad', 'config')])
def test_basics(path, super_path):
ds = Dataset(path).create(force=True)
ds.run_procedure('setup_yoda_dataset')
ok_clean_git(ds.path)
assert_false(ds.repo.is_under_annex("README.md"))
# configure dataset to look for procedures in its code folder
ds.config.add('datalad.locations.dataset-procedures',
'code',
where='dataset')
# commit this procedure config for later use in a clone:
ds.add(op.join('.datalad', 'config'))
# configure dataset to run the demo procedure prior to the clean command
ds.config.add('datalad.clean.proc-pre',
'datalad_test_proc',
where='dataset')
# run command that should trigger the demo procedure
ds.clean()
# look for traces
ok_file_has_content(op.join(ds.path, 'fromproc.txt'), 'hello\n')
ok_clean_git(ds.path, index_modified=[op.join('.datalad', 'config')])
# make a fresh dataset:
super = Dataset(super_path).create()
# configure dataset to run the demo procedure prior to the clean command
super.config.add('datalad.clean.proc-pre',
'datalad_test_proc',
where='dataset')
# 'super' doesn't know any procedures but should get to know one by
# installing the above as a subdataset
super.install('sub', source=ds.path)
# run command that should trigger the demo procedure
super.clean()
# look for traces
ok_file_has_content(op.join(super.path, 'fromproc.txt'), 'hello\n')
ok_clean_git(super.path, index_modified=[op.join('.datalad', 'config')])
def test_basics(path, super_path):
ds = Dataset(path).create(force=True)
ds.run_procedure('setup_yoda_dataset')
ok_clean_git(ds.path)
assert_false(ds.repo.is_under_annex("README.md"))
# configure dataset to look for procedures in its code folder
ds.config.add(
'datalad.locations.dataset-procedures',
'code',
where='dataset')
# commit this procedure config for later use in a clone:
ds.add(op.join('.datalad', 'config'))
# configure dataset to run the demo procedure prior to the clean command
ds.config.add(
'datalad.clean.proc-pre',
'datalad_test_proc',
where='dataset')
# run command that should trigger the demo procedure
ds.clean()
# look for traces
ok_file_has_content(op.join(ds.path, 'fromproc.txt'), 'hello\n')
ok_clean_git(ds.path, index_modified=[op.join('.datalad', 'config')])
# make a fresh dataset:
super = Dataset(super_path).create()
# configure dataset to run the demo procedure prior to the clean command
super.config.add(
'datalad.clean.proc-pre',
'datalad_test_proc',
where='dataset')
# 'super' doesn't know any procedures but should get to know one by
# installing the above as a subdataset
super.install('sub', source=ds.path)
# run command that should trigger the demo procedure
super.clean()
# look for traces
ok_file_has_content(op.join(super.path, 'fromproc.txt'), 'hello\n')
ok_clean_git(super.path, index_modified=[op.join('.datalad', 'config')])
