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135 lines
4.1 KiB
Python
135 lines
4.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import json
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from superset.migrations.shared.migrate_viz import MigratePivotTable
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from tests.unit_tests.conftest import with_feature_flags
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SOURCE_FORM_DATA = {
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"adhoc_filters": [],
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"any_other_key": "untouched",
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"columns": ["state"],
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"combine_metric": True,
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"granularity_sqla": "ds",
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"groupby": ["name"],
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"number_format": "SMART_NUMBER",
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"pandas_aggfunc": "sum",
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"pivot_margins": True,
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"time_range": "100 years ago : now",
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"timeseries_limit_metric": "count",
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"transpose_pivot": True,
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"viz_type": "pivot_table",
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}
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TARGET_FORM_DATA = {
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"adhoc_filters": [],
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"any_other_key": "untouched",
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"aggregateFunction": "Sum",
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"colTotals": True,
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"combineMetric": True,
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"form_data_bak": SOURCE_FORM_DATA,
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"granularity_sqla": "ds",
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"groupbyColumns": ["state"],
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"groupbyRows": ["name"],
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"rowOrder": "value_z_to_a",
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"series_limit_metric": "count",
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"time_range": "100 years ago : now",
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"transposePivot": True,
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"valueFormat": "SMART_NUMBER",
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"viz_type": "pivot_table_v2",
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}
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@with_feature_flags(GENERIC_CHART_AXES=False)
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def test_migration_without_generic_chart_axes() -> None:
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source = SOURCE_FORM_DATA.copy()
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target = TARGET_FORM_DATA.copy()
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upgrade_downgrade(source, target)
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@with_feature_flags(GENERIC_CHART_AXES=True)
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def test_migration_with_generic_chart_axes() -> None:
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source = SOURCE_FORM_DATA.copy()
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target = TARGET_FORM_DATA.copy()
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target["adhoc_filters"] = [
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{
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"clause": "WHERE",
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"comparator": "100 years ago : now",
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"expressionType": "SIMPLE",
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"operator": "TEMPORAL_RANGE",
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"subject": "ds",
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}
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]
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target.pop("granularity_sqla")
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target.pop("time_range")
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upgrade_downgrade(source, target)
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@with_feature_flags(GENERIC_CHART_AXES=True)
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def test_custom_sql_time_column() -> None:
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source = SOURCE_FORM_DATA.copy()
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source["granularity_sqla"] = {
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"expressionType": "SQL",
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"label": "ds",
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"sqlExpression": "sum(ds)",
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}
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target = TARGET_FORM_DATA.copy()
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target["adhoc_filters"] = [
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{
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"clause": "WHERE",
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"comparator": None,
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"expressionType": "SQL",
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"operator": "TEMPORAL_RANGE",
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"sqlExpression": "sum(ds)",
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"subject": "ds",
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}
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]
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target["form_data_bak"] = source
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target.pop("granularity_sqla")
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target.pop("time_range")
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upgrade_downgrade(source, target)
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def upgrade_downgrade(source, target) -> None:
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from superset.models.slice import Slice
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dumped_form_data = json.dumps(source)
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slc = Slice(
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viz_type=MigratePivotTable.source_viz_type,
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datasource_type="table",
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params=dumped_form_data,
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query_context=f'{{"form_data": {dumped_form_data}}}',
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)
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# upgrade
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slc = MigratePivotTable.upgrade_slice(slc)
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# verify form_data
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new_form_data = json.loads(slc.params)
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assert new_form_data == target
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assert new_form_data["form_data_bak"] == source
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# verify query_context
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new_query_context = json.loads(slc.query_context)
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assert new_query_context["form_data"]["viz_type"] == "pivot_table_v2"
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# downgrade
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slc = MigratePivotTable.downgrade_slice(slc)
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assert slc.viz_type == MigratePivotTable.source_viz_type
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assert json.loads(slc.params) == source
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