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82 lines
3.0 KiB
Python
82 lines
3.0 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 types import SimpleNamespace
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from typing import cast, TYPE_CHECKING
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from unittest.mock import MagicMock
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import pytest
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from superset.common.query_actions import _prepare_drill_detail_query
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from superset.exceptions import QueryObjectValidationError
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if TYPE_CHECKING:
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from superset.common.query_object import QueryObject
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def test_prepare_drill_detail_query_refuses_datasource_that_opts_out() -> None:
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"""
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A datasource with ``supports_drill_to_detail = False`` (e.g. semantic
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views) must be hard-blocked on the server. Without this gate the request
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would fall through to dataframe acquisition and fail with an opaque error, and
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the flag would only be enforced by the frontend menu — leaving the
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chart-data API endpoint accepting drill-detail requests it shouldn't.
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"""
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datasource = MagicMock()
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datasource.supports_drill_to_detail = False
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query_obj = MagicMock()
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query_obj.datasource = datasource
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query_context = MagicMock()
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with pytest.raises(
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QueryObjectValidationError,
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match="Drill to detail is not available",
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):
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_prepare_drill_detail_query(query_context, query_obj)
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def test_prepare_drill_detail_query_allows_datasource_without_flag() -> None:
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"""
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Datasources that don't declare the flag (e.g. legacy ``SqlaTable``
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subclasses via ``getattr`` default) must continue to work — the gate
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only fires when the flag is explicitly ``False``.
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"""
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datasource = SimpleNamespace(columns=[SimpleNamespace(column_name="id")])
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query_obj = SimpleNamespace(
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columns=[],
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datasource=datasource,
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is_timeseries=True,
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metrics=["count"],
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orderby=[("name", False)],
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post_processing=[{"operation": "pivot"}],
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)
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query_context = MagicMock()
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prepared_query = _prepare_drill_detail_query(
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query_context,
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cast("QueryObject", query_obj),
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)
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assert prepared_query is not query_obj
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assert prepared_query.is_timeseries is False
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assert prepared_query.metrics is None
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assert prepared_query.post_processing == []
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assert prepared_query.columns == ["id"]
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assert prepared_query.orderby == [("id", True)]
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assert query_obj.columns == []
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