def test_validate_dataset_spec_hash(self):
# Success case
spec = get_sample_spec('somebucket')
self.assertTrue(validate_spec_hash(spec))
# None or empty cases
self.assertFalse(validate_spec_hash(None))
self.assertFalse(validate_spec_hash({}))
# Non-integer version
spec['dataset']['version'] = 'string'
self.assertFalse(validate_spec_hash(spec))
# Missing version
spec['dataset'].pop('version')
self.assertFalse(validate_spec_hash(spec))
# Missing dataset
spec.pop('dataset')
self.assertFalse(validate_spec_hash(spec))
# Empty category list
spec = get_sample_spec('somebucket')
spec['dataset']['categories'] = {}
self.assertFalse(validate_spec_hash(spec))
# Missing categories
spec['dataset'].pop('categories')
self.assertFalse(validate_spec_hash(spec))
# Missing store
spec = get_sample_spec('somebucket')
spec['dataset']['manifest'].pop('store')
self.assertFalse(validate_spec_hash(spec))
# Missing manifest
spec['dataset'].pop('manifest')
# Bad bucket URL format
spec = get_sample_spec('somebucket')
spec['dataset']['manifest']['store'] = 'invalid'
self.assertFalse(validate_spec_hash(spec))
# Missing and empty dataset name
spec = get_sample_spec('somebucket')
spec['dataset']['name'] = ''
self.assertFalse(validate_spec_hash(spec))
spec['dataset'].pop('name')
self.assertFalse(validate_spec_hash(spec))
def test_fetch(self):
mdpath = os.path.join(self.tmp_dir, 'metadata-test')
testbucketname = os.getenv('MLGIT_TEST_BUCKET', 'ml-git-datasets')
config_spec = get_sample_config_spec(testbucketname, testprofile,
testregion)
dataset_spec = get_sample_spec(testbucketname)
specpath = os.path.join(mdpath, 'vision-computing', 'images',
'dataset-ex')
ensure_path_exists(specpath)
yaml_save(dataset_spec, os.path.join(specpath, 'dataset-ex.spec'))
manifestpath = os.path.join(specpath, 'MANIFEST.yaml')
yaml_save(
{
'zdj7WjdojNAZN53Wf29rPssZamfbC6MVerzcGwd9tNciMpsQh':
{'imghires.jpg'}
}, manifestpath)
objectpath = os.path.join(self.tmp_dir, 'objects-test')
spec = 'vision-computing__images__dataset-ex__5'
r = LocalRepository(config_spec, objectpath)
r.fetch(mdpath, spec, None)
fs = set()
for root, dirs, files in os.walk(objectpath):
for file in files:
fs.add(file)
self.assertEqual(len(hs), len(fs))
self.assertTrue(len(hs.difference(fs)) == 0)
def test_remote_fsck(self):
testbucketname = os.getenv('MLGIT_TEST_BUCKET', 'ml-git-datasets')
hfspath = os.path.join(self.tmp_dir, 'objectsfs')
ohfs = MultihashFS(hfspath)
ohfs.put(HDATA_IMG_1)
s3 = boto3.resource(
's3',
region_name='us-east-1',
aws_access_key_id='fake_access_key',
aws_secret_access_key='fake_secret_key',
)
s3.Object(testbucketname, 'zdj7WWsMkELZSGQGgpm5VieCWV8NxY5n5XEP73H4E7eeDMA3A').delete()
self.assertRaises(botocore.exceptions.ClientError, lambda: self.check_delete(s3, testbucketname))
mdpath = os.path.join(self.tmp_dir, 'metadata-test')
dataset_spec = get_sample_spec(testbucketname)
specpath = os.path.join(mdpath, 'vision-computing', 'images', 'dataset-ex')
ensure_path_exists(specpath)
yaml_save(dataset_spec, os.path.join(specpath, 'dataset-ex.spec'))
manifestpath = os.path.join(specpath, 'MANIFEST.yaml')
yaml_save({'zdj7WjdojNAZN53Wf29rPssZamfbC6MVerzcGwd9tNciMpsQh': {'imghires.jpg'}}, manifestpath)
fullspecpath = os.path.join(specpath, os.path.join(specpath, 'dataset-ex.spec'))
spec = 'vision-computing__images__dataset-ex__5'
c = yaml_load('hdata/config.yaml')
r = LocalRepository(c, hfspath)
ret = r.remote_fsck(mdpath, spec, fullspecpath, 2, True, True)
self.assertTrue(ret)
self.assertEqual(None, s3.Object(testbucketname, 'zdj7WWsMkELZSGQGgpm5VieCWV8NxY5n5XEP73H4E7eeDMA3A').load())
