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241f380e2e
* add world bank data fixture * fix fixture cleanup, add fixture to dashboard_tests * apply world bank fixtures, fix tests * fix fixture typo, dashboard ids * fix export dashboard metadata * fix test_export_dashboard_command_key_order * fix export dash tests, not add row when no orphans * debug timeout * fixes after merge * fix lint * run pre-commit * comment test for debug * fix save.test.js Co-authored-by: Karol Kostrzewa <karol.kostrzewa@polidea.com>
82 lines
3.1 KiB
Python
82 lines
3.1 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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# isort:skip_file
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import copy
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import json
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import pytest
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import tests.test_app # pylint: disable=unused-import
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from superset import db
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from superset.dashboards.dao import DashboardDAO
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from superset.models.dashboard import Dashboard
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from tests.base_tests import SupersetTestCase
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from tests.fixtures.world_bank_dashboard import load_world_bank_dashboard_with_slices
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class TestDashboardDAO(SupersetTestCase):
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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def test_set_dash_metadata(self):
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dash = db.session.query(Dashboard).filter_by(slug="world_health").first()
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data = dash.data
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positions = data["position_json"]
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data.update({"positions": positions})
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original_data = copy.deepcopy(data)
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# add filter scopes
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filter_slice = dash.slices[0]
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immune_slices = dash.slices[2:]
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filter_scopes = {
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str(filter_slice.id): {
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"region": {
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"scope": ["ROOT_ID"],
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"immune": [slc.id for slc in immune_slices],
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}
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}
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}
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data.update({"filter_scopes": json.dumps(filter_scopes)})
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DashboardDAO.set_dash_metadata(dash, data)
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updated_metadata = json.loads(dash.json_metadata)
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self.assertEqual(updated_metadata["filter_scopes"], filter_scopes)
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# remove a slice and change slice ids (as copy slices)
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removed_slice = immune_slices.pop()
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removed_component = [
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key
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for (key, value) in positions.items()
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if isinstance(value, dict)
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and value.get("type") == "CHART"
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and value["meta"]["chartId"] == removed_slice.id
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]
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positions.pop(removed_component[0], None)
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data.update({"positions": positions})
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DashboardDAO.set_dash_metadata(dash, data)
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updated_metadata = json.loads(dash.json_metadata)
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expected_filter_scopes = {
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str(filter_slice.id): {
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"region": {
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"scope": ["ROOT_ID"],
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"immune": [slc.id for slc in immune_slices],
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}
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}
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}
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self.assertEqual(updated_metadata["filter_scopes"], expected_filter_scopes)
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# reset dash to original data
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DashboardDAO.set_dash_metadata(dash, original_data)
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