def test_get_metadata(path):
ds = Dataset(path).create(force=True)
meta = MetadataExtractor(ds, []).get_metadata(True, False)[0]
del meta['@context']
dump = dumps(meta, sort_keys=True, indent=2, ensure_ascii=False)
assert_equal(
dump, """\
{
"BIDSVersion": "1.0.0-rc3",
"author": [
"Mike One",
"Anna Two"
],
"citation": [
"http://studyforrest.org"
],
"conformsto": "http://bids.neuroimaging.io/bids_spec1.0.0-rc3.pdf",
"description": "Some description",
"fundedby": "We got money from collecting plastic bottles",
"license": "PDDL",
"name": "studyforrest_phase2"
}""")
test_fname = opj('sub-01', 'func', 'sub-01_task-some_bold.nii.gz')
cmeta = list(
MetadataExtractor(
ds, [opj('sub-01', 'func', 'sub-01_task-some_bold.nii.gz')
]).get_metadata(False, True)[1])
assert_equal(len(cmeta), 1)
assert_equal(cmeta[0][0], test_fname)
# check that we get file props extracted from the file name from pybids
fmeta = cmeta[0][1]
assert_equal(fmeta['subject']['id'], '01')
# There was a RF from a restrictive "type" to a more generic, but more
# BIDS ad-hoc "suffix" lacking semantic value really in 0.7.0.
type_field = 'suffix' if external_versions['bids'] >= '0.7.0' else 'type'
assert_equal(fmeta[type_field], 'bold')
assert_equal(fmeta['task'], 'some')
datatype_field = 'datatype' if external_versions[
'bids'] >= '0.7.0' else 'modality'
assert_equal(fmeta[datatype_field], 'func')
# the fact that there is participant vs subject is already hotly debated in Tal's brain
assert_in('handedness', fmeta['subject'])
assert_in('language', fmeta['subject'])
assert_equal(fmeta['subject']['language'], u'русский')
assert_equal(fmeta['subject']['gender'], u'n/a')
def test_get_metadata_with_README(path):
ds = Dataset(path).create(force=True)
meta = MetadataExtractor(ds, []).get_metadata(True, False)[0]
del meta['@context']
dump = dumps(meta, sort_keys=True, indent=2, ensure_ascii=False)
assert_equal(
dump, u"""\
{
"conformsto": "http://bids.neuroimaging.io",
"description": "A very detailed\\ndescription с юникодом",
"name": "test"
}""")
def test_get_metadata_with_description_and_README(path):
ds = Dataset(path).create(force=True)
meta = MetadataExtractor(ds, []).get_metadata(True, False)[0]
del meta['@context']
dump = dumps(meta, sort_keys=True, indent=2, ensure_ascii=False)
assert_equal(
dump, """\
{
"BIDSVersion": "1.0.0-rc3",
"conformsto": "http://bids.neuroimaging.io/bids_spec1.0.0-rc3.pdf",
"description": "Some description",
"name": "test"
}""")