def test_token_right_create_dataset_rights(self):
BASE_URL = os.getenv("BASE_URL")
api_su = NativeApi(BASE_URL, os.getenv("API_TOKEN_SUPERUSER"))
api_nru = NativeApi(BASE_URL,
os.getenv("API_TOKEN_TEST_NO_RIGHTS"))
resp = api_su.get_info_version()
assert resp.json()["data"]["version"] == "4.18.1"
assert resp.json()["data"]["build"] == "267-a91d370"
# resp = api_nru.get_info_version()
# assert resp.json()["data"]["version"] == "4.18.1"
# assert resp.json()["data"]["build"] == "267-a91d370"
ds = Dataset()
ds.from_json(
read_file(
os.path.join(
BASE_DIR,
"tests/data/dataset_upload_min_default.json")))
resp = api_su.create_dataset(":root", ds.json())
pid = resp.json()["data"]["persistentId"]
assert resp.json()["status"] == "OK"
# with pytest.raises(ApiAuthorizationError):
# resp = api_nru.get_dataset(pid)
resp = api_su.delete_dataset(pid)
assert resp.json()["status"] == "OK"
def test_token_empty_string(self):
BASE_URL = os.getenv("BASE_URL")
api = NativeApi(BASE_URL, "")
resp = api.get_info_version()
assert resp.json()["data"]["version"] == "4.18.1"
assert resp.json()["data"]["build"] == "267-a91d370"
with pytest.raises(ApiAuthorizationError):
ds = Dataset()
ds.from_json(
read_file(
os.path.join(
BASE_DIR,
"tests/data/dataset_upload_min_default.json")))
api.create_dataset(":root", ds.json())
def test_token_no_rights(self):
BASE_URL = os.getenv("BASE_URL")
API_TOKEN = os.getenv("API_TOKEN_NO_RIGHTS")
api = NativeApi(BASE_URL, API_TOKEN)
resp = api.get_info_version()
assert resp.json()["data"]["version"] == "4.15.1"
assert resp.json()["data"]["build"] == "1377-701b56b"
with pytest.raises(ApiAuthorizationError):
ds = Dataset()
ds.from_json(
read_file(
os.path.join(
BASE_DIR,
"tests/data/dataset_upload_min_default.json")))
api.create_dataset(":root", ds.json())
def create_testdata(config_file: str, force: bool) -> None:
"""Create testdata defined in a config file.
Creates a pre-defined set of testdata on your
instance. By default, the function uses the
AUSSDA test data repository, which is so far not
publicly available. If `PRODUCTION` is `true`,
this function will not execute, as long as you
not add `--force` to the function call. This is
to protect from unwanted changes on a production
instance.
"""
# Init
if config.PRODUCTION and not force:
print(
"Create testdata on a PRODUCTION instance not allowed. Use --force to force it."
)
sys.exit()
pid_idx = []
users = read_json(config.USER_FILENAME)
workflow = read_json(os.path.join(ROOT_DIR, config_file))
# Dataverses
for dv_conf in workflow["dataverses"]:
dv_alias = None
if "create" in dv_conf:
api = NativeApi(
config.BASE_URL,
users[dv_conf["create"]["user-handle"]]["api-token"])
dv = Dataverse()
dv_filename = os.path.join(ROOT_DIR,
dv_conf["create"]["metadata-filename"])
dv.from_json(read_file(dv_filename))
if "update" in dv_conf["create"]:
for key, val in dv_conf["create"]["update"].items():
kwargs = {key: val}
dv.set(kwargs)
dv_alias = dv.get()["alias"]
resp = api.create_dataverse(dv_conf["create"]["parent"], dv.json())
if "publish" in dv_conf:
api = NativeApi(
config.BASE_URL,
users[dv_conf["publish"]["user-handle"]]["api-token"])
if not dv_alias and "alias" in dv_conf["publish"]:
dv_alias = dv_conf["publish"]["alias"]
resp = api.publish_dataverse(dv_alias)
# Datasets
for ds_conf in workflow["datasets"]:
pid = None
if "create" in ds_conf:
api = NativeApi(
config.BASE_URL,
users[ds_conf["create"]["user-handle"]]["api-token"])
ds = Dataset()
ds_filename = os.path.join(ROOT_DIR,
ds_conf["create"]["metadata-filename"])
ds.from_json(read_file(ds_filename))
if "update" in ds_conf["create"]:
for key, val in ds_conf["create"]["update"].items():
kwargs = {key: val}
ds.set(kwargs)
resp = api.create_dataset(dv_alias, ds.json())
pid = resp.json()["data"]["persistentId"]
pid_idx.append(pid)
if "publish" in ds_conf:
if not pid:
print("ERROR: PID missing!")
sys.exit()
api = NativeApi(
config.BASE_URL,
users[ds_conf["publish"]["user-handle"]]["api-token"])
resp = api.publish_dataset(pid, release_type="major")
# Datafiles
for dataset_id, ds_datafiles in workflow["datafiles"].items():
if int(dataset_id) == workflow["datasets"][int(dataset_id)]["id"]:
pid = pid_idx[int(dataset_id)]
else:
print("ERROR: Dataset ID not matching.")
sys.exit()
for df_conf in ds_datafiles:
if "upload" in df_conf:
api = NativeApi(
config.BASE_URL,
users[df_conf["upload"]["user-handle"]]["api-token"],
)
metadata = read_json(df_conf["upload"]["metadata-filename"])
df = Datafile()
df.set(metadata)
if "update" in df_conf["upload"]:
for key, val in df_conf["upload"]["update"].items():
kwargs = {key: val}
df.set(kwargs)
df.set({"pid": pid})
filename = df_conf["upload"]["filename"]
resp = api.upload_datafile(pid, filename, df.json())
if filename[-4:] == ".sav" or filename[-4:] == ".dta":
sleep(30)
else:
sleep(3)
if "publish-dataset" in df_conf:
api = NativeApi(
config.BASE_URL,
users[df_conf["publish-dataset"]["user-handle"]]["api-token"],
)
if df_conf["publish-dataset"]:
resp = api.publish_dataset(pid, release_type="major")
