superset/tests/unit_tests/dao/dataset_test.py

85 lines
2.5 KiB
Python

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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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from sqlalchemy.orm.session import Session
from superset.daos.dataset import DatasetDAO
def test_validate_update_uniqueness(session: Session) -> None:
"""
Test the `validate_update_uniqueness` static method.
In particular, allow datasets with the same name in the same database as long as they
are in different schemas
"""
from superset import db
from superset.connectors.sqla.models import SqlaTable
from superset.models.core import Database
SqlaTable.metadata.create_all(session.get_bind())
database = Database(
database_name="my_db",
sqlalchemy_uri="sqlite://",
)
dataset1 = SqlaTable(
table_name="my_dataset",
schema="main",
database=database,
)
dataset2 = SqlaTable(
table_name="my_dataset",
schema="dev",
database=database,
)
db.session.add_all([database, dataset1, dataset2])
db.session.flush()
# same table name, different schema
assert (
DatasetDAO.validate_update_uniqueness(
database_id=database.id,
schema=dataset1.schema,
dataset_id=dataset1.id,
name=dataset1.table_name,
)
is True
)
# duplicate schema and table name
assert (
DatasetDAO.validate_update_uniqueness(
database_id=database.id,
schema=dataset2.schema,
dataset_id=dataset1.id,
name=dataset1.table_name,
)
is False
)
# no schema
assert (
DatasetDAO.validate_update_uniqueness(
database_id=database.id,
schema=None,
dataset_id=dataset1.id,
name=dataset1.table_name,
)
is True
)