def test_get_metadata(path):
ds = Dataset(path).create(force=True)
meta = MetadataParser(ds, []).get_metadata(True, False)[0]
del meta['@context']
dump = dumps(meta, sort_keys=True, indent=2, ensure_ascii=False)
assert_equal(
dump, """\
{
"author": [
"Mike One",
"Anna Two"
],
"citation": [
"http://studyforrest.org"
],
"comment<BIDSVersion>": "1.0.0-rc3",
"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(
MetadataParser(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)
assert_in('comment<participant#handedness>', cmeta[0][1])
def test_get_metadata(path):
ds = Dataset(path)
meta = MetadataParser(ds).get_metadata('ID')
assert_equal(
dumps(meta, sort_keys=True, indent=2), """\
{
"@context": {
"@vocab": "http://schema.org/",
"doap": "http://usefulinc.com/ns/doap#"
},
"@id": "ID",
"author": [
"Mike One",
"Anna Two"
],
"citation": [
"http://studyforrest.org"
],
"dcterms:conformsTo": [
"http://docs.datalad.org/metadata.html#v0-1",
"http://bids.neuroimaging.io/bids_spec1.0.0-rc3.pdf"
],
"description": "Some description",
"foaf:fundedBy": "We got money from collecting plastic bottles",
"license": "PDDL",
"name": "studyforrest_phase2"
}""")
def test_get_metadata_with_README(path):
ds = Dataset(path).create(force=True)
meta = MetadataParser(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)
meta = MetadataParser(ds).get_metadata('ID')
assert_equal(
dumps(meta, sort_keys=True, indent=2), """\
{
"@context": {
"@vocab": "http://schema.org/",
"doap": "http://usefulinc.com/ns/doap#"
},
"@id": "ID",
"dcterms:conformsTo": [
"http://docs.datalad.org/metadata.html#v0-1",
"http://bids.neuroimaging.io"
],
"description": "Some description",
"name": "test"
}""")
def test_get_metadata_with_README(path):
ds = Dataset(path)
meta = MetadataParser(ds).get_metadata('ID')
dump = dumps(meta, sort_keys=True, indent=2, ensure_ascii=False)
assert_equal(
dump, u"""\
{
"@context": {
"@vocab": "http://schema.org/",
"doap": "http://usefulinc.com/ns/doap#"
},
"@id": "ID",
"dcterms:conformsTo": [
"http://docs.datalad.org/metadata.html#v0-1",
"http://bids.neuroimaging.io"
],
"description": "A very detailed\\ndescription с юникодом",
"name": "test"
}""")
def test_has_no_metadata(path):
ds = Dataset(path)
p = MetadataParser(ds)
assert_false(p.has_metadata())
assert_equal(p.get_core_metadata_filenames(), [])
def test_has_metadata(path):
ds = Dataset(path)
p = MetadataParser(ds)
assert_true(p.has_metadata())
assert_equal(p.get_core_metadata_filenames(),
[opj(path, 'dataset_description.json')])
def test_has_no_metadata(path):
ds = Dataset(path)
p = MetadataParser(ds)
assert_false(p.has_metadata())
assert_equal(p.get_core_metadata_filenames(), [])
def test_has_metadata(path):
ds = Dataset(path)
p = MetadataParser(ds)
assert_true(p.has_metadata())
assert_equal(p.get_core_metadata_filenames(),
[opj(path, 'dataset_description.json')])