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* Update db setup fixture scope * Load data into db only once * Update fixture scopes for data loading * cleanup imports * try import * Update scope * fix cleanup * Import all fixtures * Separate data log and metadata creation * Retain table description * fix dtype Co-authored-by: Bogdan Kyryliuk <bogdankyryliuk@dropbox.com>
644 lines
25 KiB
Python
644 lines
25 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 itertools
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import json
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from unittest.mock import MagicMock, patch
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import pytest
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import yaml
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from werkzeug.utils import secure_filename
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from superset import db, security_manager
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from superset.commands.exceptions import CommandInvalidError
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from superset.commands.importers.exceptions import IncorrectVersionError
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from superset.connectors.sqla.models import SqlaTable
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from superset.dashboards.commands.exceptions import DashboardNotFoundError
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from superset.dashboards.commands.export import (
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append_charts,
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ExportDashboardsCommand,
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get_default_position,
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)
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from superset.dashboards.commands.importers import v0, v1
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from superset.models.core import Database
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from superset.models.dashboard import Dashboard
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from superset.models.slice import Slice
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from tests.integration_tests.base_tests import SupersetTestCase
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from tests.integration_tests.fixtures.importexport import (
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chart_config,
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dashboard_config,
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dashboard_export,
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dashboard_metadata_config,
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database_config,
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dataset_config,
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dataset_metadata_config,
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)
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from tests.integration_tests.fixtures.world_bank_dashboard import (
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load_world_bank_dashboard_with_slices,
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load_world_bank_data,
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)
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class TestExportDashboardsCommand(SupersetTestCase):
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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@patch("superset.security.manager.g")
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@patch("superset.views.base.g")
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def test_export_dashboard_command(self, mock_g1, mock_g2):
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mock_g1.user = security_manager.find_user("admin")
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mock_g2.user = security_manager.find_user("admin")
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example_dashboard = (
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db.session.query(Dashboard).filter_by(slug="world_health").one()
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)
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command = ExportDashboardsCommand([example_dashboard.id])
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contents = dict(command.run())
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expected_paths = {
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"metadata.yaml",
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"dashboards/World_Banks_Data.yaml",
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"datasets/examples/wb_health_population.yaml",
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"databases/examples.yaml",
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}
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for chart in example_dashboard.slices:
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chart_slug = secure_filename(chart.slice_name)
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expected_paths.add(f"charts/{chart_slug}_{chart.id}.yaml")
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assert expected_paths == set(contents.keys())
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metadata = yaml.safe_load(contents["dashboards/World_Banks_Data.yaml"])
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# remove chart UUIDs from metadata so we can compare
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for chart_info in metadata["position"].values():
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if isinstance(chart_info, dict) and "uuid" in chart_info.get("meta", {}):
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del chart_info["meta"]["chartId"]
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del chart_info["meta"]["uuid"]
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assert metadata == {
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"dashboard_title": "World Bank's Data",
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"description": None,
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"css": None,
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"slug": "world_health",
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"uuid": str(example_dashboard.uuid),
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"position": {
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"CHART-36bfc934": {
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"children": [],
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"id": "CHART-36bfc934",
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"meta": {"height": 25, "sliceName": "Region Filter", "width": 2},
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"type": "CHART",
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},
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"CHART-37982887": {
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"children": [],
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"id": "CHART-37982887",
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"meta": {
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"height": 25,
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"sliceName": "World's Population",
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"width": 2,
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},
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"type": "CHART",
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},
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"CHART-17e0f8d8": {
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"children": [],
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"id": "CHART-17e0f8d8",
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"meta": {
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"height": 92,
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"sliceName": "Most Populated Countries",
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"width": 3,
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},
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"type": "CHART",
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},
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"CHART-2ee52f30": {
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"children": [],
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"id": "CHART-2ee52f30",
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"meta": {"height": 38, "sliceName": "Growth Rate", "width": 6},
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"type": "CHART",
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},
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"CHART-2d5b6871": {
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"children": [],
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"id": "CHART-2d5b6871",
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"meta": {"height": 52, "sliceName": "% Rural", "width": 7},
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"type": "CHART",
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},
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"CHART-0fd0d252": {
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"children": [],
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"id": "CHART-0fd0d252",
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"meta": {
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"height": 50,
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"sliceName": "Life Expectancy VS Rural %",
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"width": 8,
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},
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"type": "CHART",
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},
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"CHART-97f4cb48": {
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"children": [],
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"id": "CHART-97f4cb48",
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"meta": {"height": 38, "sliceName": "Rural Breakdown", "width": 3},
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"type": "CHART",
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},
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"CHART-b5e05d6f": {
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"children": [],
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"id": "CHART-b5e05d6f",
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"meta": {
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"height": 50,
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"sliceName": "World's Pop Growth",
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"width": 4,
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},
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"type": "CHART",
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},
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"CHART-e76e9f5f": {
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"children": [],
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"id": "CHART-e76e9f5f",
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"meta": {"height": 50, "sliceName": "Box plot", "width": 4},
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"type": "CHART",
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},
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"CHART-a4808bba": {
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"children": [],
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"id": "CHART-a4808bba",
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"meta": {"height": 50, "sliceName": "Treemap", "width": 8},
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"type": "CHART",
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},
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"CHART-3nc0d8sk": {
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"children": [],
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"id": "CHART-3nc0d8sk",
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"meta": {"height": 50, "sliceName": "Treemap", "width": 8},
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"type": "CHART",
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},
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"COLUMN-071bbbad": {
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"children": ["ROW-1e064e3c", "ROW-afdefba9"],
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"id": "COLUMN-071bbbad",
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"meta": {"background": "BACKGROUND_TRANSPARENT", "width": 9},
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"type": "COLUMN",
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},
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"COLUMN-fe3914b8": {
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"children": ["CHART-36bfc934", "CHART-37982887"],
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"id": "COLUMN-fe3914b8",
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"meta": {"background": "BACKGROUND_TRANSPARENT", "width": 2},
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"type": "COLUMN",
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},
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"GRID_ID": {
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"children": ["ROW-46632bc2", "ROW-3fa26c5d", "ROW-812b3f13"],
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"id": "GRID_ID",
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"type": "GRID",
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},
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"HEADER_ID": {
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"id": "HEADER_ID",
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"meta": {"text": "World's Bank Data"},
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"type": "HEADER",
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},
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"ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
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"ROW-1e064e3c": {
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"children": ["COLUMN-fe3914b8", "CHART-2d5b6871"],
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"id": "ROW-1e064e3c",
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"meta": {"background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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},
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"ROW-3fa26c5d": {
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"children": ["CHART-b5e05d6f", "CHART-0fd0d252"],
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"id": "ROW-3fa26c5d",
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"meta": {"background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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},
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"ROW-46632bc2": {
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"children": ["COLUMN-071bbbad", "CHART-17e0f8d8"],
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"id": "ROW-46632bc2",
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"meta": {"background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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},
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"ROW-812b3f13": {
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"children": ["CHART-a4808bba", "CHART-e76e9f5f"],
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"id": "ROW-812b3f13",
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"meta": {"background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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},
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"ROW-afdefba9": {
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"children": ["CHART-2ee52f30", "CHART-97f4cb48"],
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"id": "ROW-afdefba9",
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"meta": {"background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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},
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"DASHBOARD_VERSION_KEY": "v2",
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},
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"metadata": {"mock_key": "mock_value"},
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"version": "1.0.0",
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}
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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@patch("superset.security.manager.g")
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@patch("superset.views.base.g")
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def test_export_dashboard_command_no_access(self, mock_g1, mock_g2):
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"""Test that users can't export datasets they don't have access to"""
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mock_g1.user = security_manager.find_user("gamma")
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mock_g2.user = security_manager.find_user("gamma")
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example_dashboard = (
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db.session.query(Dashboard).filter_by(slug="world_health").one()
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)
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command = ExportDashboardsCommand([example_dashboard.id])
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contents = command.run()
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with self.assertRaises(DashboardNotFoundError):
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next(contents)
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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@patch("superset.security.manager.g")
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@patch("superset.views.base.g")
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def test_export_dashboard_command_invalid_dataset(self, mock_g1, mock_g2):
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"""Test that an error is raised when exporting an invalid dataset"""
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mock_g1.user = security_manager.find_user("admin")
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mock_g2.user = security_manager.find_user("admin")
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command = ExportDashboardsCommand([-1])
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contents = command.run()
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with self.assertRaises(DashboardNotFoundError):
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next(contents)
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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@patch("superset.security.manager.g")
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@patch("superset.views.base.g")
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def test_export_dashboard_command_key_order(self, mock_g1, mock_g2):
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"""Test that they keys in the YAML have the same order as export_fields"""
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mock_g1.user = security_manager.find_user("admin")
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mock_g2.user = security_manager.find_user("admin")
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example_dashboard = (
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db.session.query(Dashboard).filter_by(slug="world_health").one()
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)
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command = ExportDashboardsCommand([example_dashboard.id])
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contents = dict(command.run())
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metadata = yaml.safe_load(contents["dashboards/World_Banks_Data.yaml"])
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assert list(metadata.keys()) == [
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"dashboard_title",
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"description",
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"css",
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"slug",
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"uuid",
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"position",
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"metadata",
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"version",
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]
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@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
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@patch("superset.dashboards.commands.export.suffix")
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def test_append_charts(self, mock_suffix):
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"""Test that oprhaned charts are added to the dashbaord position"""
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# return deterministic IDs
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mock_suffix.side_effect = (str(i) for i in itertools.count(1))
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position = get_default_position("example")
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chart_1 = db.session.query(Slice).filter_by(slice_name="Region Filter").one()
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new_position = append_charts(position, {chart_1})
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assert new_position == {
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"DASHBOARD_VERSION_KEY": "v2",
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"ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
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"GRID_ID": {
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"children": ["ROW-N-2"],
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"id": "GRID_ID",
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"parents": ["ROOT_ID"],
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"type": "GRID",
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},
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"HEADER_ID": {
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"id": "HEADER_ID",
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"meta": {"text": "example"},
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"type": "HEADER",
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},
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"ROW-N-2": {
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"children": ["CHART-1"],
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"id": "ROW-N-2",
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"meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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"parents": ["ROOT_ID", "GRID_ID"],
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},
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"CHART-1": {
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"children": [],
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"id": "CHART-1",
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"meta": {
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"chartId": chart_1.id,
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"height": 50,
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"sliceName": "Region Filter",
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"uuid": str(chart_1.uuid),
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"width": 4,
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},
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"type": "CHART",
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"parents": ["ROOT_ID", "GRID_ID", "ROW-N-2"],
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},
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}
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chart_2 = (
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db.session.query(Slice).filter_by(slice_name="World's Population").one()
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)
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new_position = append_charts(new_position, {chart_2})
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assert new_position == {
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"DASHBOARD_VERSION_KEY": "v2",
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"ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
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"GRID_ID": {
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"children": ["ROW-N-2", "ROW-N-4"],
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"id": "GRID_ID",
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"parents": ["ROOT_ID"],
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"type": "GRID",
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},
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"HEADER_ID": {
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"id": "HEADER_ID",
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"meta": {"text": "example"},
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"type": "HEADER",
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},
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"ROW-N-2": {
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"children": ["CHART-1"],
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"id": "ROW-N-2",
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"meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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"parents": ["ROOT_ID", "GRID_ID"],
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},
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"ROW-N-4": {
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"children": ["CHART-3"],
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"id": "ROW-N-4",
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"meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
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"type": "ROW",
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"parents": ["ROOT_ID", "GRID_ID"],
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},
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"CHART-1": {
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"children": [],
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"id": "CHART-1",
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"meta": {
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"chartId": chart_1.id,
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"height": 50,
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"sliceName": "Region Filter",
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"uuid": str(chart_1.uuid),
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"width": 4,
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},
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"type": "CHART",
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"parents": ["ROOT_ID", "GRID_ID", "ROW-N-2"],
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},
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"CHART-3": {
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"children": [],
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"id": "CHART-3",
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"meta": {
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"chartId": chart_2.id,
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"height": 50,
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"sliceName": "World's Population",
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"uuid": str(chart_2.uuid),
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"width": 4,
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},
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"type": "CHART",
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"parents": ["ROOT_ID", "GRID_ID", "ROW-N-4"],
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},
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}
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position = {"DASHBOARD_VERSION_KEY": "v2"}
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new_position = append_charts(position, [chart_1, chart_2])
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assert new_position == {
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"CHART-5": {
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"children": [],
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"id": "CHART-5",
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"meta": {
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"chartId": chart_1.id,
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"height": 50,
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"sliceName": "Region Filter",
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"uuid": str(chart_1.uuid),
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"width": 4,
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},
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"type": "CHART",
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},
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"CHART-6": {
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"children": [],
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"id": "CHART-6",
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"meta": {
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"chartId": chart_2.id,
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"height": 50,
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"sliceName": "World's Population",
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"uuid": str(chart_2.uuid),
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"width": 4,
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},
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"type": "CHART",
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},
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"DASHBOARD_VERSION_KEY": "v2",
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}
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class TestImportDashboardsCommand(SupersetTestCase):
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def test_import_v0_dashboard_cli_export(self):
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num_dashboards = db.session.query(Dashboard).count()
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num_charts = db.session.query(Slice).count()
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num_datasets = db.session.query(SqlaTable).count()
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num_databases = db.session.query(Database).count()
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contents = {
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"20201119_181105.json": json.dumps(dashboard_export),
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}
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command = v0.ImportDashboardsCommand(contents)
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command.run()
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new_num_dashboards = db.session.query(Dashboard).count()
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new_num_charts = db.session.query(Slice).count()
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new_num_datasets = db.session.query(SqlaTable).count()
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new_num_databases = db.session.query(Database).count()
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assert new_num_dashboards == num_dashboards + 1
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assert new_num_charts == num_charts + 1
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assert new_num_datasets == num_datasets + 1
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assert new_num_databases == num_databases
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dashboard = (
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db.session.query(Dashboard).filter_by(dashboard_title="Births 2").one()
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)
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assert len(dashboard.slices) == 1
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chart = dashboard.slices[0]
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assert chart.slice_name == "Number of California Births"
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dataset = chart.table
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assert dataset.table_name == "birth_names_2"
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database = dataset.database
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assert database.database_name == "examples"
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db.session.delete(dashboard)
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db.session.delete(chart)
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db.session.delete(dataset)
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db.session.commit()
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@patch("superset.dashboards.commands.importers.v1.utils.g")
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def test_import_v1_dashboard(self, mock_g):
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"""Test that we can import a dashboard"""
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mock_g.user = security_manager.find_user("admin")
|
|
contents = {
|
|
"metadata.yaml": yaml.safe_dump(dashboard_metadata_config),
|
|
"databases/imported_database.yaml": yaml.safe_dump(database_config),
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|
"datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
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|
"charts/imported_chart.yaml": yaml.safe_dump(chart_config),
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|
"dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
|
|
}
|
|
command = v1.ImportDashboardsCommand(contents)
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|
command.run()
|
|
|
|
dashboard = (
|
|
db.session.query(Dashboard).filter_by(uuid=dashboard_config["uuid"]).one()
|
|
)
|
|
|
|
assert len(dashboard.slices) == 1
|
|
chart = dashboard.slices[0]
|
|
assert str(chart.uuid) == chart_config["uuid"]
|
|
new_chart_id = chart.id
|
|
|
|
assert dashboard.dashboard_title == "Test dash"
|
|
assert dashboard.description is None
|
|
assert dashboard.css == ""
|
|
assert dashboard.slug is None
|
|
assert json.loads(dashboard.position_json) == {
|
|
"CHART-SVAlICPOSJ": {
|
|
"children": [],
|
|
"id": "CHART-SVAlICPOSJ",
|
|
"meta": {
|
|
"chartId": new_chart_id,
|
|
"height": 50,
|
|
"sliceName": "Number of California Births",
|
|
"uuid": "0c23747a-6528-4629-97bf-e4b78d3b9df1",
|
|
"width": 4,
|
|
},
|
|
"parents": ["ROOT_ID", "GRID_ID", "ROW-dP_CHaK2q"],
|
|
"type": "CHART",
|
|
},
|
|
"DASHBOARD_VERSION_KEY": "v2",
|
|
"GRID_ID": {
|
|
"children": ["ROW-dP_CHaK2q"],
|
|
"id": "GRID_ID",
|
|
"parents": ["ROOT_ID"],
|
|
"type": "GRID",
|
|
},
|
|
"HEADER_ID": {
|
|
"id": "HEADER_ID",
|
|
"meta": {"text": "Test dash"},
|
|
"type": "HEADER",
|
|
},
|
|
"ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
|
|
"ROW-dP_CHaK2q": {
|
|
"children": ["CHART-SVAlICPOSJ"],
|
|
"id": "ROW-dP_CHaK2q",
|
|
"meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
|
|
"parents": ["ROOT_ID", "GRID_ID"],
|
|
"type": "ROW",
|
|
},
|
|
}
|
|
assert json.loads(dashboard.json_metadata) == {
|
|
"color_scheme": None,
|
|
"default_filters": "{}",
|
|
"expanded_slices": {str(new_chart_id): True},
|
|
"filter_scopes": {
|
|
str(new_chart_id): {
|
|
"region": {"scope": ["ROOT_ID"], "immune": [new_chart_id]}
|
|
},
|
|
},
|
|
"import_time": 1604342885,
|
|
"refresh_frequency": 0,
|
|
"remote_id": 7,
|
|
"timed_refresh_immune_slices": [new_chart_id],
|
|
}
|
|
|
|
dataset = chart.table
|
|
assert str(dataset.uuid) == dataset_config["uuid"]
|
|
|
|
database = dataset.database
|
|
assert str(database.uuid) == database_config["uuid"]
|
|
|
|
assert dashboard.owners == [mock_g.user]
|
|
|
|
dashboard.owners = []
|
|
chart.owners = []
|
|
dataset.owners = []
|
|
database.owners = []
|
|
db.session.delete(dashboard)
|
|
db.session.delete(chart)
|
|
db.session.delete(dataset)
|
|
db.session.delete(database)
|
|
db.session.commit()
|
|
|
|
def test_import_v1_dashboard_multiple(self):
|
|
"""Test that a dashboard can be imported multiple times"""
|
|
num_dashboards = db.session.query(Dashboard).count()
|
|
|
|
contents = {
|
|
"metadata.yaml": yaml.safe_dump(dashboard_metadata_config),
|
|
"databases/imported_database.yaml": yaml.safe_dump(database_config),
|
|
"datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
|
|
"charts/imported_chart.yaml": yaml.safe_dump(chart_config),
|
|
"dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
|
|
}
|
|
command = v1.ImportDashboardsCommand(contents, overwrite=True)
|
|
command.run()
|
|
command.run()
|
|
|
|
new_num_dashboards = db.session.query(Dashboard).count()
|
|
assert new_num_dashboards == num_dashboards + 1
|
|
|
|
dashboard = (
|
|
db.session.query(Dashboard).filter_by(uuid=dashboard_config["uuid"]).one()
|
|
)
|
|
chart = dashboard.slices[0]
|
|
dataset = chart.table
|
|
database = dataset.database
|
|
|
|
db.session.delete(dashboard)
|
|
db.session.delete(chart)
|
|
db.session.delete(dataset)
|
|
db.session.delete(database)
|
|
db.session.commit()
|
|
|
|
def test_import_v1_dashboard_validation(self):
|
|
"""Test different validations applied when importing a dashboard"""
|
|
# metadata.yaml must be present
|
|
contents = {
|
|
"databases/imported_database.yaml": yaml.safe_dump(database_config),
|
|
"datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
|
|
"charts/imported_chart.yaml": yaml.safe_dump(chart_config),
|
|
"dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
|
|
}
|
|
command = v1.ImportDashboardsCommand(contents)
|
|
with pytest.raises(IncorrectVersionError) as excinfo:
|
|
command.run()
|
|
assert str(excinfo.value) == "Missing metadata.yaml"
|
|
|
|
# version should be 1.0.0
|
|
contents["metadata.yaml"] = yaml.safe_dump(
|
|
{
|
|
"version": "2.0.0",
|
|
"type": "Database",
|
|
"timestamp": "2020-11-04T21:27:44.423819+00:00",
|
|
}
|
|
)
|
|
command = v1.ImportDashboardsCommand(contents)
|
|
with pytest.raises(IncorrectVersionError) as excinfo:
|
|
command.run()
|
|
assert str(excinfo.value) == "Must be equal to 1.0.0."
|
|
|
|
# type should be Database
|
|
contents["metadata.yaml"] = yaml.safe_dump(dataset_metadata_config)
|
|
command = v1.ImportDashboardsCommand(contents)
|
|
with pytest.raises(CommandInvalidError) as excinfo:
|
|
command.run()
|
|
assert str(excinfo.value) == "Error importing dashboard"
|
|
assert excinfo.value.normalized_messages() == {
|
|
"metadata.yaml": {"type": ["Must be equal to Dashboard."]}
|
|
}
|
|
|
|
# must also validate datasets
|
|
broken_config = dataset_config.copy()
|
|
del broken_config["table_name"]
|
|
contents["metadata.yaml"] = yaml.safe_dump(dashboard_metadata_config)
|
|
contents["datasets/imported_dataset.yaml"] = yaml.safe_dump(broken_config)
|
|
command = v1.ImportDashboardsCommand(contents)
|
|
with pytest.raises(CommandInvalidError) as excinfo:
|
|
command.run()
|
|
assert str(excinfo.value) == "Error importing dashboard"
|
|
assert excinfo.value.normalized_messages() == {
|
|
"datasets/imported_dataset.yaml": {
|
|
"table_name": ["Missing data for required field."],
|
|
}
|
|
}
|