superset/tests/unit_tests/migrations/viz/pivot_table_v1_v2_test.py
2023-11-16 14:28:09 -03:00

54 lines
1.8 KiB
Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# 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
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Any
from superset.migrations.shared.migrate_viz import MigratePivotTable
from tests.unit_tests.migrations.viz.utils import migrate_and_assert
SOURCE_FORM_DATA: dict[str, Any] = {
"any_other_key": "untouched",
"columns": ["state"],
"combine_metric": True,
"groupby": ["name"],
"number_format": "SMART_NUMBER",
"pandas_aggfunc": "sum",
"pivot_margins": True,
"timeseries_limit_metric": "count",
"transpose_pivot": True,
"viz_type": "pivot_table",
}
TARGET_FORM_DATA: dict[str, Any] = {
"any_other_key": "untouched",
"aggregateFunction": "Sum",
"colTotals": True,
"colSubTotals": True,
"combineMetric": True,
"form_data_bak": SOURCE_FORM_DATA,
"groupbyColumns": ["state"],
"groupbyRows": ["name"],
"rowOrder": "value_z_to_a",
"series_limit_metric": "count",
"transposePivot": True,
"valueFormat": "SMART_NUMBER",
"viz_type": "pivot_table_v2",
}
def test_migration() -> None:
migrate_and_assert(MigratePivotTable, SOURCE_FORM_DATA, TARGET_FORM_DATA)