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e3e37cb68f
* rename and move dao file * Update dao.py * add cachekey * Update __init__.py * change reference in query context test * add utils ref * more ref changes * add helpers * add todo in dashboard.py * add cachekey * circular import error in dar.py * push rest of refs * fix linting * fix more linting * update enum * remove references for connector registry * big reafctor * take value * fix * test to see if removing value works * delete connectregistry * address concerns * address comments * fix merge conflicts * address concern II * address concern II * fix test Co-authored-by: Phillip Kelley-Dotson <pkelleydotson@yahoo.com>
117 lines
3.9 KiB
Python
117 lines
3.9 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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from typing import Callable, List, Optional
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import pytest
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from superset import db
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from superset.connectors.sqla.models import SqlaTable
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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 superset.utils.core import get_example_default_schema
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from superset.utils.database import get_example_database
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from tests.example_data.data_loading.base_data_loader import DataLoader
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from tests.example_data.data_loading.data_definitions.types import Table
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from tests.integration_tests.dashboard_utils import create_table_metadata
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from tests.integration_tests.test_app import app
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BIRTH_NAMES_TBL_NAME = "birth_names"
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@pytest.fixture(scope="session")
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def load_birth_names_data(
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birth_names_table_factory: Callable[[], Table], data_loader: DataLoader
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):
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birth_names_table: Table = birth_names_table_factory()
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data_loader.load_table(birth_names_table)
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yield
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data_loader.remove_table(birth_names_table.table_name)
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@pytest.fixture()
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def load_birth_names_dashboard_with_slices(load_birth_names_data):
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with app.app_context():
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dash_id_to_delete, slices_ids_to_delete = _create_dashboards()
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yield
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_cleanup(dash_id_to_delete, slices_ids_to_delete)
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@pytest.fixture(scope="module")
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def load_birth_names_dashboard_with_slices_module_scope(load_birth_names_data):
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with app.app_context():
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dash_id_to_delete, slices_ids_to_delete = _create_dashboards()
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yield
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_cleanup(dash_id_to_delete, slices_ids_to_delete)
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def _create_dashboards():
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table = _create_table(
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table_name=BIRTH_NAMES_TBL_NAME,
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database=get_example_database(),
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fetch_values_predicate="123 = 123",
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)
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from superset.examples.birth_names import create_dashboard, create_slices
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slices, _ = create_slices(table, admin_owner=False)
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dash = create_dashboard(slices)
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slices_ids_to_delete = [slice.id for slice in slices]
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dash_id_to_delete = dash.id
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return dash_id_to_delete, slices_ids_to_delete
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def _create_table(
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table_name: str,
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database: "Database",
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fetch_values_predicate: Optional[str] = None,
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):
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table = create_table_metadata(
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table_name=table_name,
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database=database,
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fetch_values_predicate=fetch_values_predicate,
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)
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from superset.examples.birth_names import _add_table_metrics, _set_table_metadata
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_set_table_metadata(table, database)
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_add_table_metrics(table)
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db.session.commit()
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return table
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def _cleanup(dash_id: int, slices_ids: List[int]) -> None:
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schema = get_example_default_schema()
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datasource = (
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db.session.query(SqlaTable)
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.filter_by(table_name="birth_names", schema=schema)
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.one()
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)
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columns = [column for column in datasource.columns]
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metrics = [metric for metric in datasource.metrics]
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for column in columns:
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db.session.delete(column)
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for metric in metrics:
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db.session.delete(metric)
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dash = db.session.query(Dashboard).filter_by(id=dash_id).first()
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db.session.delete(dash)
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for slice_id in slices_ids:
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db.session.query(Slice).filter_by(id=slice_id).delete()
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db.session.commit()
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