superset/tests/unit_tests/datasource/dao_tests.py

206 lines
5.8 KiB
Python

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# regarding copyright ownership. The ASF licenses this file
# 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 collections.abc import Iterator
import pytest
from sqlalchemy.orm.session import Session
from superset.utils.core import DatasourceType
@pytest.fixture
def session_with_data(session: Session) -> Iterator[Session]:
from superset.columns.models import Column
from superset.connectors.sqla.models import SqlaTable, TableColumn
from superset.datasets.models import Dataset
from superset.models.core import Database
from superset.models.sql_lab import Query, SavedQuery
from superset.tables.models import Table
engine = session.get_bind()
SqlaTable.metadata.create_all(engine) # pylint: disable=no-member
database = Database(database_name="my_database", sqlalchemy_uri="sqlite://")
columns = [
TableColumn(column_name="a", type="INTEGER"),
]
sqla_table = SqlaTable(
table_name="my_sqla_table",
columns=columns,
metrics=[],
database=database,
)
query_obj = Query(
client_id="foo",
database=database,
tab_name="test_tab",
sql_editor_id="test_editor_id",
sql="select * from bar",
select_sql="select * from bar",
executed_sql="select * from bar",
limit=100,
select_as_cta=False,
rows=100,
error_message="none",
results_key="abc",
)
saved_query = SavedQuery(database=database, sql="select * from foo")
table = Table(
name="my_table",
schema="my_schema",
catalog="my_catalog",
database=database,
columns=[],
)
dataset = Dataset(
database=table.database,
name="positions",
expression="""
SELECT array_agg(array[longitude,latitude]) AS position
FROM my_catalog.my_schema.my_table
""",
tables=[table],
columns=[
Column(
name="position",
expression="array_agg(array[longitude,latitude])",
),
],
)
session.add(dataset)
session.add(table)
session.add(saved_query)
session.add(query_obj)
session.add(database)
session.add(sqla_table)
session.flush()
yield session
def test_get_datasource_sqlatable(session_with_data: Session) -> None:
from superset.connectors.sqla.models import SqlaTable
from superset.daos.datasource import DatasourceDAO
result = DatasourceDAO.get_datasource(
datasource_type=DatasourceType.TABLE,
datasource_id=1,
)
assert 1 == result.id
assert "my_sqla_table" == result.table_name
assert isinstance(result, SqlaTable)
def test_get_datasource_query(session_with_data: Session) -> None:
from superset.daos.datasource import DatasourceDAO
from superset.models.sql_lab import Query
result = DatasourceDAO.get_datasource(
datasource_type=DatasourceType.QUERY, datasource_id=1
)
assert result.id == 1
assert isinstance(result, Query)
def test_get_datasource_saved_query(session_with_data: Session) -> None:
from superset.daos.datasource import DatasourceDAO
from superset.models.sql_lab import SavedQuery
result = DatasourceDAO.get_datasource(
datasource_type=DatasourceType.SAVEDQUERY,
datasource_id=1,
)
assert result.id == 1
assert isinstance(result, SavedQuery)
def test_get_datasource_sl_table(session_with_data: Session) -> None:
from superset.daos.datasource import DatasourceDAO
from superset.tables.models import Table
result = DatasourceDAO.get_datasource(
datasource_type=DatasourceType.SLTABLE,
datasource_id=1,
)
assert result.id == 1
assert isinstance(result, Table)
def test_get_datasource_sl_dataset(session_with_data: Session) -> None:
from superset.daos.datasource import DatasourceDAO
from superset.datasets.models import Dataset
result = DatasourceDAO.get_datasource(
datasource_type=DatasourceType.DATASET,
datasource_id=1,
)
assert result.id == 1
assert isinstance(result, Dataset)
def test_get_datasource_w_str_param(session_with_data: Session) -> None:
from superset.connectors.sqla.models import SqlaTable
from superset.daos.datasource import DatasourceDAO
from superset.datasets.models import Dataset
from superset.tables.models import Table
assert isinstance(
DatasourceDAO.get_datasource(
datasource_type="table",
datasource_id=1,
),
SqlaTable,
)
assert isinstance(
DatasourceDAO.get_datasource(
datasource_type="sl_table",
datasource_id=1,
),
Table,
)
def test_get_all_datasources(session_with_data: Session) -> None:
from superset.connectors.sqla.models import SqlaTable
result = SqlaTable.get_all_datasources()
assert len(result) == 1
def test_not_found_datasource(session_with_data: Session) -> None:
from superset.daos.datasource import DatasourceDAO
from superset.daos.exceptions import DatasourceNotFound
with pytest.raises(DatasourceNotFound):
DatasourceDAO.get_datasource(
datasource_type="table",
datasource_id=500000,
)