def testFailEmpty(tmpdir):
datasetRoot = Path(tmpdir, "bids-archive")
emptyArchive = BidsArchive(datasetRoot)
with pytest.raises(StateError):
emptyArchive.dirExistsInArchive("will fail anyway")
with pytest.raises(StateError):
emptyArchive.getReadme()
with pytest.raises(StateError):
emptyArchive.getImages("will fail anyway")
with pytest.raises(StateError):
emptyArchive.getSidecarMetadata("will fall anyway")
with pytest.raises(StateError):
emptyArchive._getIncremental(subject="will fall anyway",
session="will fall anyway",
task="will fall anyway",
suffix="will fall anyway",
datatype="will fall anyway")
def openNeuroStreamTest(bidsInterface):
dsAccessionNumber = 'ds002338'
dsSubject = 'xp201'
datasetDir = tmpDownloadOpenNeuro(dsAccessionNumber, dsSubject, 1)
localEntities = {'subject': dsSubject, 'run': 1, 'suffix': 'bold', 'datatype': 'func'}
remoteEntities = {'subject': dsSubject, 'run': 1}
localBidsArchive = BidsArchive(datasetDir)
streamId = bidsInterface.initOpenNeuroStream(dsAccessionNumber, **remoteEntities)
for idx in range(3):
streamIncremental = bidsInterface.getIncremental(streamId)
localIncremental = localBidsArchive._getIncremental(idx, **localEntities)
print(f"OpenNeuro stream check: image {idx}")
assert streamIncremental == localIncremental
for idx in [5, 2, 7]:
streamIncremental = bidsInterface.getIncremental(streamId, volIdx=idx)
localIncremental = localBidsArchive._getIncremental(idx, **localEntities)
print(f"OpenNeuro stream check: image {idx}")
assert streamIncremental == localIncremental
# Resume without specifying volumes
for idx in [*range(8, 10)]:
streamIncremental = bidsInterface.getIncremental(streamId)
localIncremental = localBidsArchive._getIncremental(idx, **localEntities)
print(f"OpenNeuro stream check: image {idx}")
assert streamIncremental == localIncremental
numVols = bidsInterface.getNumVolumes(streamId)
assert numVols > 0 and numVols < 1000
# Check with local bidsRun
localBidsRun = localBidsArchive.getBidsRun(**localEntities)
assert numVols == localBidsRun.numIncrementals()
assert numVols > 10
for idx in [*range(6, 10)]:
streamIncremental = bidsInterface.getIncremental(streamId, volIdx=idx)
localIncremental = localBidsRun.getIncremental(idx)
print(f"OpenNeuro bidsRun check: image {idx}")
assert streamIncremental == localIncremental