datahub/metadata-ingestion/tests/unit/test_data_flow_urn.py
Xu Wang 7b1487135a
feat(ingest): add Urn python library for DataJob, DataFlow, Domain and Tag (#4618)
* feat(ingest): add python library for DataJobUrn

* add DataFlowUrn lib and fix DataJobUrn

* fix create_from_str method

* fix lint error and unit test

* add DomainUrn and TagUrn

Co-authored-by: Xu Wang <xu.wang@grandrounds.com>
2022-04-12 09:02:28 +02:00

28 lines
1.1 KiB
Python

import unittest
from datahub.utilities.urns.data_flow_urn import DataFlowUrn
from datahub.utilities.urns.error import InvalidUrnError
class TestDataFlowUrn(unittest.TestCase):
def test_parse_urn(self) -> None:
data_flow_urn_str = "urn:li:dataFlow:(airflow,def,prod)"
data_flow_urn = DataFlowUrn.create_from_string(data_flow_urn_str)
assert data_flow_urn.get_orchestrator_name() == "airflow"
assert data_flow_urn.get_flow_id() == "def"
assert data_flow_urn.get_env() == "prod"
assert data_flow_urn.__str__() == "urn:li:dataFlow:(airflow,def,prod)"
assert data_flow_urn == DataFlowUrn("dataFlow", ["airflow", "def", "prod"])
def test_invalid_urn(self) -> None:
with self.assertRaises(InvalidUrnError):
DataFlowUrn.create_from_string("urn:li:abc:(airflow,def,prod)")
with self.assertRaises(InvalidUrnError):
DataFlowUrn.create_from_string("urn:li:dataFlow:(airflow,flow_id)")
with self.assertRaises(InvalidUrnError):
DataFlowUrn.create_from_string(
"urn:li:dataFlow:(airflow,flow_id,invalidEnv)"
)