def test_functional(tmp_dir_fixture, monkeypatch): # NOQA
from smarttoolbase import SmartTool
input_admin_metadata = dtoolcore.generate_admin_metadata(
"my_input_ds", "testing_bot")
input_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=input_admin_metadata,
prefix=tmp_dir_fixture,
storage="file")
input_dataset.create()
input_dataset.put_readme("")
input_dataset.freeze()
output_admin_metadata = dtoolcore.generate_admin_metadata(
"my_output_ds", "testing_bot")
output_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=output_admin_metadata,
prefix=tmp_dir_fixture,
storage="file")
output_dataset.create()
output_dataset.put_readme("")
with SmartTool(
input_uri=input_dataset.uri,
output_uri=output_dataset.uri,
) as smart_tool:
assert smart_tool.input_dataset.uri == input_dataset.uri
assert smart_tool.output_proto_dataset.uri == output_dataset.uri
smart_tool.base_commands = [
"bowtie2 -x {reference_prefix} -1 {forward_read_fpath} -2 {reverse_read_fpath} -S {output_fpath}",
]
smart_tool.outputs = []
smart_tool.base_command_props = {
"reference_prefix": "/tmp/reference/Athaliana",
"forward_read_fpath": "/tmp/input/data/read1.fq",
"reverse_read_fpath": "/tmp/input/data/read2.fq",
"output_fpath": "/tmp/working/output",
}
expected_command_list = [
"bowtie2", "-x", "/tmp/reference/Athaliana", "-1",
"/tmp/input/data/read1.fq", "-2", "/tmp/input/data/read2.fq", "-S",
"/tmp/working/output"
]
# assert smart_tool.command_list("identifier") == expected_command_list
import subprocess
subprocess.call = MagicMock()
smart_tool.pre_run = MagicMock()
smart_tool("identifier")
subprocess.call.assert_called_once_with(
expected_command_list, cwd=smart_tool.working_directory)
smart_tool.pre_run.assert_called_once()
def test_diff_sizes(tmp_uri_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_sizes
fpaths = create_test_files(tmp_uri_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
base_uri=tmp_uri_fixture)
proto_ds_a.create()
proto_ds_a.put_item(fpaths["he"], "file.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
base_uri=tmp_uri_fixture)
proto_ds_b.create()
proto_ds_b.put_item(fpaths["she"], "file.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_sizes(ds_a, ds_a) == []
expected = [
(generate_identifier("file.txt"), 2, 3),
]
assert diff_sizes(ds_a, ds_b) == expected
def generate_dataset(base_uri, name, size, num_files):
# print(
# "Generating dataset in {} with {} files of size {} bytes".format(
# storage, num_files, size
# )
# )
admin_metadata = generate_admin_metadata(name=name,
creator_username="******")
proto_dataset = generate_proto_dataset(admin_metadata, base_uri)
proto_dataset.create()
proto_dataset.put_readme("")
for i in range(num_files):
handle = "{}.txt".format(i)
with tempfile.NamedTemporaryFile() as fp:
fp.write(os.urandom(size))
fp.flush()
proto_dataset.put_item(fp.name, handle)
proto_dataset.add_item_metadata(handle, "number", i)
start = time.time()
# cProfile.runctx("proto_dataset.freeze()", {"proto_dataset": proto_dataset}, {}, sort="cumtime")
proto_dataset.freeze()
elapsed = time.time() - start
# print("Freezing {} took: {}s".format(name, elapsed))
print("{},{}".format(num_files, elapsed))
def test_update_name_of_frozen_dataset(tmp_uri_fixture): # NOQA
import dtoolcore
# Create a dataset.
admin_metadata = dtoolcore.generate_admin_metadata("test_name")
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata, base_uri=tmp_uri_fixture)
proto_dataset.create()
proto_dataset.freeze()
dataset = dtoolcore.DataSet.from_uri(proto_dataset.uri)
assert dataset.name == "test_name"
dataset.update_name("updated_name")
assert dataset.name == "updated_name"
dataset_again = dtoolcore.DataSet.from_uri(proto_dataset.uri)
assert dataset_again.name == "updated_name"
# Make sure that none of the other admin metadata has been altered.
for key, value in admin_metadata.items():
if key == "name":
continue
assert dataset_again._admin_metadata[key] == value
def test_http_enable_with_presigned_url(tmp_uuid_and_uri): # NOQA
uuid, dest_uri = tmp_uuid_and_uri
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.put_readme("---\nproject: testing\n")
proto_dataset.freeze()
dataset = DataSet.from_uri(dest_uri)
# Add an annotation.
dataset.put_annotation("project", "dtool-testing")
# Add tags.
dataset.put_tag("amazing")
dataset.put_tag("stuff")
with tmp_env_var("DTOOL_S3_PUBLISH_EXPIRY", "120"):
access_url = dataset._storage_broker.http_enable()
assert access_url.find("?") != -1 # This is a presigned URL dataset.
assert access_url.startswith("https://")
dataset_from_http = DataSet.from_uri(access_url)
# Assert that the annotation has been copied across.
assert dataset_from_http.get_annotation("project") == "dtool-testing"
# Asser that the tags are available.
assert dataset_from_http.list_tags() == ["amazing", "stuff"]
from dtoolcore.compare import (diff_identifiers, diff_sizes, diff_content)
assert len(diff_identifiers(dataset, dataset_from_http)) == 0
assert len(diff_sizes(dataset, dataset_from_http)) == 0
assert len(diff_content(dataset_from_http, dataset)) == 0
# Make sure that all the URLs in the manifest are presigned.
http_manifest = dataset_from_http._storage_broker.http_manifest
assert http_manifest["manifest_url"].find("?") != -1
assert http_manifest["readme_url"].find("?") != -1
for url in http_manifest["item_urls"].values():
assert url.find("?") != -1
for url in http_manifest["annotations"].values():
assert url.find("?") != -1
def test_basic_workflow_on_first_namespace(tmp_uuid_and_uri): # NOQA
uuid, dest_uri = tmp_uuid_and_uri
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
from dtoolcore.utils import generate_identifier
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.freeze()
# Read in a dataset
dataset = DataSet.from_uri(dest_uri)
expected_identifier = generate_identifier('tiny.png')
assert expected_identifier in dataset.identifiers
assert len(dataset.identifiers) == 1
def test_copy(tmp_dir_fixture): # NOQA
import dtoolcore
admin_metadata = dtoolcore.generate_admin_metadata("test_name")
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata,
prefix=tmp_dir_fixture,
storage="file")
assert proto_dataset.name == "test_name"
proto_dataset.update_name("test_new_name")
assert proto_dataset.name == "test_new_name"
proto_dataset.create()
proto_dataset.update_name("test_another_new_name")
assert proto_dataset.name == "test_another_new_name"
read_proto_dataset = dtoolcore.ProtoDataSet.from_uri(proto_dataset.uri)
assert read_proto_dataset.name == "test_another_new_name"
def test_works_if_all_set(tmp_uuid_and_uri): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
bucket_name = S3_TEST_BASE_URI[5:]
endpoint_key = "DTOOL_S3_ENDPOINT_{}".format(bucket_name)
access_key = "DTOOL_S3_ACCESS_KEY_ID_{}".format(bucket_name)
secret_access_key = "DTOOL_S3_SECRET_ACCESS_KEY_{}".format(bucket_name)
uuid, dest_uri = tmp_uuid_and_uri
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
env_vars = {
endpoint_key: "https://s3.amazonaws.com",
access_key: S3_TEST_ACCESS_KEY_ID,
secret_access_key: S3_TEST_SECRET_ACCESS_KEY,
}
a, b, c = list(env_vars.keys())
with tmp_env_var(a, env_vars[a]):
with tmp_env_var(b, env_vars[b]):
with tmp_env_var(c, env_vars[c]):
proto_dataset = ProtoDataSet(dest_uri, admin_metadata)
proto_dataset.create()
def test_basic_workflow(tmp_dir_fixture): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
from dtoolcore.utils import generate_identifier
from dtoolcore.storagebroker import DiskStorageBroker
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
dest_uri = DiskStorageBroker.generate_uri(
name=name,
uuid=admin_metadata["uuid"],
base_uri=tmp_dir_fixture)
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.freeze()
# Read in a dataset
dataset = DataSet.from_uri(dest_uri)
expected_identifier = generate_identifier('tiny.png')
assert expected_identifier in dataset.identifiers
assert len(dataset.identifiers) == 1
def create_proto_dataset(base_uri, name, username):
admin_metadata = dtoolcore.generate_admin_metadata(name, username)
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata, base_uri=base_uri)
proto_dataset.create()
proto_dataset.put_readme("")
return proto_dataset
def test_copy_resume_fixes_broken_files(tmp_uri_fixture): # NOQA
import dtoolcore
src_dir = os.path.join(uri_to_path(tmp_uri_fixture), "src")
dest_dir = os.path.join(uri_to_path(tmp_uri_fixture), "dest")
for directory in [src_dir, dest_dir]:
os.mkdir(directory)
# Create the src dataset to be copied.
admin_metadata = dtoolcore.generate_admin_metadata("test_copy")
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata, base_uri=tmp_uri_fixture + "/src")
proto_dataset.create()
src_uri = proto_dataset.uri
proto_dataset.put_readme("---\nproject: exciting\n")
overlay = "file_extension"
for fname in os.listdir(TEST_SAMPLE_DATA):
_, ext = os.path.splitext(fname)
item_fpath = os.path.join(TEST_SAMPLE_DATA, fname)
proto_dataset.put_item(item_fpath, fname)
proto_dataset.add_item_metadata(fname, overlay, ext)
proto_dataset.freeze()
# Create a partial copy.
src_dataset = dtoolcore.DataSet.from_uri(proto_dataset.uri)
dest_proto_dataset = dtoolcore._copy_create_proto_dataset(
src_dataset, tmp_uri_fixture + "/dest")
broken_content_fpath = os.path.join(TEST_SAMPLE_DATA, "another_file.txt")
dest_proto_dataset.put_item(broken_content_fpath, "random_bytes")
# Copy resume should work.
dest_uri = dtoolcore.copy_resume(src_uri, tmp_uri_fixture + "/dest")
# Compare the two datasets.
src_ds = dtoolcore.DataSet.from_uri(src_uri)
dest_ds = dtoolcore.DataSet.from_uri(dest_uri)
for key, value in src_ds._admin_metadata.items():
assert dest_ds._admin_metadata[key] == value
assert src_ds.identifiers == dest_ds.identifiers
for i in src_ds.identifiers:
src_item_props = src_ds.item_properties(i)
dest_item_props = dest_ds.item_properties(i)
for key, value in src_item_props.items():
if key == "utc_timestamp":
tolerance = 2 # seconds (number chosen arbitrarily)
assert dest_item_props[key] >= value
assert dest_item_props[key] < value + tolerance
else:
assert dest_item_props[key] == value
assert src_ds.get_readme_content() == dest_ds.get_readme_content()
assert src_ds.list_overlay_names() == dest_ds.list_overlay_names()
assert src_ds.get_overlay(overlay) == dest_ds.get_overlay(overlay)
def test_annotations(tmp_uuid_and_uri): # NOQA
uuid, dest_uri = tmp_uuid_and_uri
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.freeze()
# Read in a dataset
dataset = DataSet.from_uri(dest_uri)
assert dataset.list_annotation_names() == []
dataset.put_annotation("project", "demo")
assert dataset.get_annotation("project") == "demo"
assert dataset.list_annotation_names() == ["project"]
def test_writing_of_dtool_readme_file(tmp_uuid_and_uri): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
# Create a proto dataset.
uuid, dest_uri = tmp_uuid_and_uri
name = "test_dtool_readme_file"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None
)
proto_dataset.create()
# Check that the ".dtool/README.txt" file exists.
expected_s3_key = uuid + '/README.txt'
assert _key_exists_in_storage_broker(
proto_dataset._storage_broker,
expected_s3_key
)
actual_content = _get_unicode_from_key(
proto_dataset._storage_broker,
expected_s3_key
)
assert actual_content.startswith("README")
def test_list_dataset_uris(tmp_uuid_and_uri): # NOQA
uuid, dest_uri = tmp_uuid_and_uri
from dtoolcore import ProtoDataSet, generate_admin_metadata
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=CONFIG_PATH)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny with space.png')
proto_dataset.freeze()
from dtool_azure.storagebroker import AzureStorageBroker
assert len(AzureStorageBroker.list_dataset_uris(
dest_uri,
CONFIG_PATH)
) > 0
def test_item_local_abspath_with_clean_cache(tmp_uuid_and_uri): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
from dtoolcore.utils import generate_identifier
uuid, dest_uri = tmp_uuid_and_uri
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.freeze()
identifier = generate_identifier('tiny.png')
with tmp_directory() as cache_dir:
with tmp_env_var("DTOOL_S3_CACHE_DIRECTORY", cache_dir):
dataset = DataSet.from_uri(dest_uri)
fpath = dataset.item_content_abspath(identifier)
assert os.path.isfile(fpath)
def test_uri_property_when_using_relpath(chdir_fixture): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
from dtoolcore.storagebroker import DiskStorageBroker
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
dest_uri = DiskStorageBroker.generate_uri(name=name,
uuid=admin_metadata["uuid"],
prefix=".")
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
# Create a minimal dataset
proto_dataset = ProtoDataSet(uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, 'tiny.png')
proto_dataset.freeze()
dataset = DataSet.from_uri("./my_dataset")
expected_uri = "file://" + os.path.abspath("my_dataset")
assert dataset.uri == expected_uri
def test_fails_if_any_endpoint_is_missing(tmp_uuid_and_uri): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
bucket_name = S3_TEST_BASE_URI[5:]
endpoint_key = "DTOOL_S3_ENDPOINT_{}".format(bucket_name)
access_key = "DTOOL_S3_ACCESS_KEY_ID_{}".format(bucket_name)
secret_access_key = "DTOOL_S3_SECRET_ACCESS_KEY_{}".format(bucket_name)
uuid, dest_uri = tmp_uuid_and_uri
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
env_vars = {
endpoint_key: "https://s3.amazonaws.com",
access_key: S3_TEST_ACCESS_KEY_ID,
secret_access_key: S3_TEST_SECRET_ACCESS_KEY,
}
from itertools import combinations
for a, b in combinations(env_vars.keys(), 2):
with tmp_env_var(a, env_vars[a]):
with tmp_env_var(b, env_vars[b]):
with pytest.raises(RuntimeError):
ProtoDataSet(dest_uri, admin_metadata)
def test_diff_content(tmp_dir_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_content
from dtoolcore.storagebroker import DiskStorageBroker
fpaths = create_test_files(tmp_dir_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
prefix=tmp_dir_fixture,
storage="file")
proto_ds_a.create()
proto_ds_a.put_item(fpaths["cat"], "file.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
prefix=tmp_dir_fixture,
storage="file")
proto_ds_b.create()
proto_ds_b.put_item(fpaths["she"], "file.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_content(ds_a, ds_a) == []
identifier = generate_identifier("file.txt")
expected = [
(generate_identifier("file.txt"),
DiskStorageBroker.hasher(ds_a.item_content_abspath(identifier)),
DiskStorageBroker.hasher(ds_b.item_content_abspath(identifier)))
]
assert diff_content(ds_a, ds_b) == expected
def proto_dataset_from_base_uri(name, base_uri):
admin_metadata = dtoolcore.generate_admin_metadata(name)
parsed_base_uri = dtoolcore.utils.generous_parse_uri(base_uri)
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata,
base_uri=dtoolcore.utils.urlunparse(parsed_base_uri))
proto_dataset.create()
return proto_dataset
def tmp_uuid_and_uri(request):
admin_metadata = generate_admin_metadata("test_dataset")
uuid = admin_metadata["uuid"]
uri = AzureStorageBroker.generate_uri("test_dataset", uuid,
AZURE_TEST_BASE_URI)
@request.addfinalizer
def teardown():
_remove_dataset(uri)
return (uuid, uri)
def tmp_uuid_and_uri(request):
admin_metadata = generate_admin_metadata("test_dataset")
uuid = admin_metadata["uuid"]
uri = IrodsStorageBroker.generate_uri("test_dataset", uuid, TEST_ZONE)
@request.addfinalizer
def teardown():
_, irods_path = uri.split(":", 1)
_rm_if_exists(irods_path)
return (uuid, uri)
def tmp_uuid_and_uri(request):
admin_metadata = generate_admin_metadata("test_dataset")
uuid = admin_metadata["uuid"]
uri = S3StorageBroker.generate_uri("test_dataset", uuid,
"s3://test-dtool-s3-bucket")
@request.addfinalizer
def teardown():
_remove_dataset(uri)
return (uuid, uri)
def tmp_uuid_and_uri(request):
admin_metadata = generate_admin_metadata("test_dataset")
uuid = admin_metadata["uuid"]
# The namespace needs to be configured in ~/.config/dtool/dtool.json
uri = ECSStorageBroker.generate_uri("test_dataset", uuid, "ecs://test1")
@request.addfinalizer
def teardown():
_remove_dataset(uri)
return (uuid, uri)
def test_tags_functional(tmp_uuid_and_uri): # NOQA
uuid, dest_uri = tmp_uuid_and_uri
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
# Create a minimal dataset
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
# Test put_tag on proto dataset.
proto_dataset.put_tag("testing")
proto_dataset.freeze()
dataset = DataSet.from_uri(proto_dataset.uri)
assert dataset.list_tags() == ["testing"]
dataset.put_tag("amazing")
dataset.put_tag("stuff")
assert dataset.list_tags() == ["amazing", "stuff", "testing"]
dataset.delete_tag("stuff")
assert dataset.list_tags() == ["amazing", "testing"]
# Putting the same tag is idempotent.
dataset.put_tag("amazing")
dataset.put_tag("amazing")
dataset.put_tag("amazing")
assert dataset.list_tags() == ["amazing", "testing"]
# Tags can only be strings.
from dtoolcore import DtoolCoreValueError
with pytest.raises(DtoolCoreValueError):
dataset.put_tag(1)
# Tags need to adhere to the utils.name_is_valid() rules.
from dtoolcore import DtoolCoreInvalidNameError
with pytest.raises(DtoolCoreInvalidNameError):
dataset.put_tag("!invalid")
# Deleting a non exiting tag does not raise. It silently succeeds.
dataset.delete_tag("dontexist")
def test_status_command_on_proto_dataset_functional(tmp_dir_fixture): # NOQA
from dtoolcore import generate_admin_metadata, generate_proto_dataset
from dtool_info.dataset import status
admin_metadata = generate_admin_metadata("test_ds")
proto_dataset = generate_proto_dataset(admin_metadata=admin_metadata,
base_uri=tmp_dir_fixture)
proto_dataset.create()
runner = CliRunner()
result = runner.invoke(status, [proto_dataset.uri])
assert result.exit_code == 0
assert result.output.strip() == "proto"
def test_basic_workflow_with_nested_handle(tmp_dir_fixture): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
from dtoolcore import DataSet
from dtoolcore.utils import generate_identifier
from dtoolcore.storagebroker import DiskStorageBroker
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
dest_uri = DiskStorageBroker.generate_uri(
name=name,
uuid=admin_metadata["uuid"],
base_uri=tmp_dir_fixture)
sample_data_path = os.path.join(TEST_SAMPLE_DATA)
local_file_path = os.path.join(sample_data_path, 'tiny.png')
handle = "subdir/tiny.png"
# Create a minimal dataset
proto_dataset = ProtoDataSet(
uri=dest_uri,
admin_metadata=admin_metadata,
config_path=None)
proto_dataset.create()
proto_dataset.put_item(local_file_path, handle)
proto_dataset.freeze()
# Read in a dataset
dataset = DataSet.from_uri(dest_uri)
expected_identifier = generate_identifier(handle)
assert expected_identifier in dataset.identifiers
assert len(dataset.identifiers) == 1
# Ensure that the file exists in the disk dataset.
# Particularly on Windows.
item_abspath = os.path.join(
tmp_dir_fixture,
name,
"data",
"subdir",
"tiny.png"
)
assert os.path.isfile(item_abspath)
assert os.path.isfile(dataset.item_content_abspath(expected_identifier))
# Ensure that the correct abspath is returned.
# Particularly on Windows.
assert dataset.item_content_abspath(expected_identifier) == item_abspath # NOQA
def test_diff_identifiers(tmp_dir_fixture): # NOQA
from dtoolcore import (
DataSet,
generate_admin_metadata,
generate_proto_dataset,
)
from dtoolcore.utils import generate_identifier
from dtoolcore.compare import diff_identifiers
fpaths = create_test_files(tmp_dir_fixture)
proto_ds_a = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_1"),
prefix=tmp_dir_fixture,
storage="file")
proto_ds_a.create()
proto_ds_a.put_item(fpaths["cat"], "a.txt")
proto_ds_a.freeze()
proto_ds_b = generate_proto_dataset(
admin_metadata=generate_admin_metadata("test_compare_2"),
prefix=tmp_dir_fixture,
storage="file")
proto_ds_b.create()
proto_ds_b.put_item(fpaths["cat"], "b.txt")
proto_ds_b.freeze()
ds_a = DataSet.from_uri(proto_ds_a.uri)
ds_b = DataSet.from_uri(proto_ds_b.uri)
assert diff_identifiers(ds_a, ds_a) == []
expected = [(generate_identifier("a.txt"), True, False),
(generate_identifier("b.txt"), False, True)]
assert diff_identifiers(ds_a, ds_b) == expected
def create_derived_dataset(parent_dataset, dest_location_uri, name_suffix):
dest_dataset_name = "{}_{}".format(parent_dataset.name, name_suffix)
admin_metadata = dtoolcore.generate_admin_metadata(dest_dataset_name)
dest_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata,
base_uri=dest_location_uri,
config_path=CONFIG_PATH)
try:
dest_dataset.create()
except dtoolcore.storagebroker.StorageBrokerOSError as err:
raise click.UsageError(str(err))
return dest_dataset
def test_fails_if_only_endpoint_is_set(tmp_uuid_and_uri): # NOQA
from dtoolcore import ProtoDataSet, generate_admin_metadata
bucket_name = S3_TEST_BASE_URI[5:]
endpoint_key = "DTOOL_S3_ENDPOINT_{}".format(bucket_name)
uuid, dest_uri = tmp_uuid_and_uri
name = "my_dataset"
admin_metadata = generate_admin_metadata(name)
admin_metadata["uuid"] = uuid
with tmp_env_var(endpoint_key, "https://s3.amazonaws.com"):
with pytest.raises(RuntimeError):
ProtoDataSet(dest_uri, admin_metadata)
def create(quiet, name, storage, prefix):
"""Create a proto dataset."""
admin_metadata = dtoolcore.generate_admin_metadata(name)
# Create the dataset.
proto_dataset = dtoolcore.generate_proto_dataset(
admin_metadata=admin_metadata,
prefix=prefix,
storage=storage,
config_path=CONFIG_PATH)
try:
proto_dataset.create()
except dtoolcore.storagebroker.StorageBrokerOSError as err:
raise click.UsageError(str(err))
proto_dataset.put_readme("")
if quiet:
click.secho(proto_dataset.uri)
else:
# Give the user some feedback and hints on what to do next.
click.secho("Created proto dataset ", nl=False, fg="green")
click.secho(proto_dataset.uri)
click.secho("Next steps: ")
step = 1
click.secho("{}. Add descriptive metadata, e.g: ".format(step))
click.secho(" dtool readme interactive {}".format(proto_dataset.uri),
fg="cyan")
if storage != "symlink":
step = step + 1
click.secho("{}. Add raw data, eg:".format(step))
click.secho(" dtool add item my_file.txt {}".format(
proto_dataset.uri),
fg="cyan")
if storage == "file":
# Find the abspath of the data directory for user feedback.
data_path = proto_dataset._storage_broker._data_abspath
click.secho(" Or use your system commands, e.g: ")
click.secho(" mv my_data_directory {}/".format(data_path),
fg="cyan")
step = step + 1
click.secho(
"{}. Convert the proto dataset into a dataset: ".format(step))
click.secho(" dtool freeze {}".format(proto_dataset.uri), fg="cyan")
