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client_test.py
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client_test.py
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# SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2023 SciCat Project (https://github.com/SciCatProject/scitacean)
import pickle
from copy import deepcopy
import pydantic
import pytest
from dateutil.parser import parse as parse_date
from scitacean import PID, Client, ScicatCommError
from scitacean.model import DataFile, DatasetType, DerivedDataset, OrigDatablock
from scitacean.testing.client import FakeClient
from scitacean.util.credentials import SecretStr
from . import data
from .common.backend import skip_if_not_backend
@pytest.fixture
def derived_dataset():
return data.as_dataset_model(data.load_datasets()[0])
@pytest.fixture
def orig_datablock():
return data.as_orig_datablock_model(data.load_orig_datablocks()[0])
def make_fake_client(dataset, datablock):
client = FakeClient(file_transfer=None)
client.datasets[dataset.pid] = dataset
client.orig_datablocks[dataset.pid] = [datablock]
return client
@pytest.fixture(params=["real", "fake"])
def client(
request,
derived_dataset,
orig_datablock,
scicat_access,
scicat_backend,
):
if request.param == "fake":
return make_fake_client(derived_dataset, orig_datablock)
if request.param == "real":
skip_if_not_backend(request)
return Client.from_credentials(
url=scicat_access.url, **scicat_access.functional_credentials
)
@pytest.fixture
def scicat_client(client):
return client.scicat
def test_from_token_fake():
# This should not call the API
client = FakeClient.from_token(url="some.url/api/v3", token="a-token") # noqa: S106
assert isinstance(client, FakeClient)
def test_from_credentials_fake():
# This should not call the API
client = FakeClient.from_credentials(
url="some.url/api/v3",
username="someone",
password="the-fake-does-not-care", # noqa: S106
)
assert isinstance(
client,
FakeClient,
)
def test_from_credentials_real(scicat_access, scicat_backend):
if not scicat_backend:
pytest.skip("No backend")
Client.from_credentials(
url=scicat_access.url, **scicat_access.functional_credentials
)
def test_get_dataset_model(scicat_client, derived_dataset):
dset = scicat_client.get_dataset_model(derived_dataset.pid)
assert dset == derived_dataset
def test_get_dataset_model_bad_id(scicat_client):
with pytest.raises(ScicatCommError):
scicat_client.get_dataset_model("bad-pid")
def test_get_orig_datablock(scicat_client, orig_datablock):
dblock = scicat_client.get_orig_datablocks(orig_datablock.datasetId)
assert [orig_datablock] == dblock
def test_get_orig_datablock_bad_id(scicat_client):
with pytest.raises(ScicatCommError):
scicat_client.get_orig_datablocks("bollocks")
@pytest.mark.parametrize("pid", ("PID.SAMPLE.PREFIX/jeck", "kamelle", None))
def test_create_dataset_model(pid, scicat_client):
dset = DerivedDataset(
pid=pid,
contactEmail="black.foess@dom.koelle",
creationTime=parse_date("1995-11-11T11:11:11.000Z"),
owner="bfoess",
investigator="b.foess@dom.koelle",
sourceFolder="/dom/platt",
type=DatasetType.DERIVED,
inputDatasets=[],
usedSoftware=[],
ownerGroup="bfoess",
accessGroups=["koelle"],
)
finalized = scicat_client.create_dataset_model(dset)
downloaded = scicat_client.get_dataset_model(finalized.pid)
for key, expected in finalized.dict(exclude_none=True).items():
# The database populates a number of fields that are None in dset.
# But we don't want to test those here as we don't want to test the database.
assert expected == downloaded.dict(exclude_none=True)[key], f"key = {key}"
def test_create_dataset_model_id_clash(scicat_client, derived_dataset):
dset = deepcopy(derived_dataset)
dset.pid = PID(prefix=None, pid=dset.pid.pid)
dset.owner = "a new owner to trigger a failure"
with pytest.raises(ScicatCommError):
scicat_client.create_dataset_model(dset)
def test_create_first_orig_datablock(scicat_client, derived_dataset):
dset = deepcopy(derived_dataset)
dset.pid = PID(pid="new-dataset-id")
uploaded = scicat_client.create_dataset_model(dset)
dblock = OrigDatablock(
id=PID(prefix="PID.SAMPLE.PREFIX", pid="new-datablock-id"),
size=9235,
dataFileList=[
DataFile(
path="data.nxs", size=9235, time=parse_date("2023-08-18T13:52:33.000Z")
)
],
datasetId=uploaded.pid,
ownerGroup="uu",
accessGroups=["group1", "2nd_group"],
)
scicat_client.create_orig_datablock(dblock)
downloaded = scicat_client.get_orig_datablocks(uploaded.pid)
assert len(downloaded) == 1
downloaded = downloaded[0]
for key, expected in dblock.dict(exclude_none=True).items():
# The database populates a number of fields that are None in dset.
# But we don't want to test those here as we don't want to test the database.
if key != "dataFileList":
assert expected == downloaded.dict()[key], f"key = {key}"
for i in range(len(dblock.dataFileList)):
for key, expected in dblock.dataFileList[i].dict(exclude_none=True).items():
assert (
expected == downloaded.dataFileList[i].dict()[key]
), f"i = {i}, key = {key}"
def test_get_dataset(client, derived_dataset, orig_datablock):
dset = client.get_dataset(derived_dataset.pid)
assert dset.source_folder == derived_dataset.sourceFolder
assert dset.creation_time == derived_dataset.creationTime
assert dset.access_groups == derived_dataset.accessGroups
assert dset.meta["temperature"] == derived_dataset.scientificMetadata["temperature"]
assert dset.meta["data_type"] == derived_dataset.scientificMetadata["data_type"]
for dset_file, expected_file in zip(dset.files, orig_datablock.dataFileList):
assert dset_file.local_path is None
assert dset_file.size == expected_file.size
assert dset_file.creation_time == expected_file.time
def test_fake_can_disable_functions():
client = FakeClient(
disable={
"get_dataset_model": RuntimeError("custom failure"),
"get_orig_datablocks": IndexError("custom index error"),
}
)
with pytest.raises(RuntimeError, match="custom failure"):
client.scicat.get_dataset_model(PID(pid="some-pid"))
with pytest.raises(IndexError, match="custom index error"):
client.scicat.get_orig_datablocks(PID(pid="some-pid"))
def test_can_get_public_dataset_without_login(request, scicat_access, scicat_backend):
skip_if_not_backend(request)
client = Client.without_login(url=scicat_access.url)
dset = client.get_dataset("PID.SAMPLE.PREFIX/public-dataset")
assert dset.type == DatasetType.RAW
assert dset.owner == "librarian"
assert dset.creation_time == parse_date("2022-11-25T22:12:04.512Z")
assert dset.number_of_files == 0
def test_cannot_upload_without_login(
request, derived_dataset, scicat_access, scicat_backend
):
skip_if_not_backend(request)
client = Client.without_login(url=scicat_access.url)
derived_dataset.pid = None
with pytest.raises(ScicatCommError):
client.scicat.create_dataset_model(derived_dataset)
def test_get_broken_dataset(request, scicat_access, scicat_backend):
skip_if_not_backend(request)
client = Client.without_login(url=scicat_access.url)
dset = client.get_dataset("PID.SAMPLE.PREFIX/partially-broken")
assert dset.type == DatasetType.RAW
# Intact field; was not converted to RemotePath
assert isinstance(dset.source_folder, str)
assert dset.source_folder == "/remote/source"
# Broken fields loaded
assert isinstance(dset.end_time, str)
assert dset.end_time == "yesterday"
def test_get_broken_dataset_strict_validation(request, scicat_access, scicat_backend):
skip_if_not_backend(request)
client = Client.without_login(url=scicat_access.url)
with pytest.raises(pydantic.ValidationError):
client.get_dataset("PID.SAMPLE.PREFIX/partially-broken", strict_validation=True)
def test_cannot_pickle_client_credentials_manual_token_str():
client = Client.from_token(url="/", token="the-token") # noqa: S106
with pytest.raises(TypeError):
pickle.dumps(client)
def test_cannot_pickle_client_credentials_manual_token_secret_str():
client = Client.from_token(url="/", token=SecretStr("the-token"))
with pytest.raises(TypeError):
pickle.dumps(client)
def test_cannot_pickle_client_credentials_login(request, scicat_access, scicat_backend):
skip_if_not_backend(request)
client = Client.from_credentials(
url=scicat_access.url, **scicat_access.functional_credentials
)
with pytest.raises(TypeError):
pickle.dumps(client)
def test_connection_error_does_not_contain_token():
client = Client.from_token(
url="https://not-actually-a_server",
token="the token/which_must-be.kept secret", # noqa: S106
)
try:
client.get_dataset("does not exist")
assert False, "There must be an exception" # noqa: B011
except Exception as exc:
assert "the token/which_must-be.kept secret" not in str(exc)
for arg in exc.args:
assert "the token/which_must-be.kept secret" not in str(arg)