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128 lines
4.2 KiB
Python
128 lines
4.2 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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"""Endpoint-level tests: filter-value suggestions for semantic views.
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The datasource values endpoint duck-types its datasource; these tests pin the
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wiring for ``DatasourceType.SEMANTIC_VIEW`` end to end (sc-119006): 200 with
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values, search pass-through, the 400 naming an unknown column, and the cache
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header contract.
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"""
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from typing import Any
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from unittest.mock import MagicMock
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import pyarrow as pa
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import pytest
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from pytest_mock import MockerFixture
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from superset_core.semantic_layers.types import (
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Dimension,
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SemanticRequest,
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SemanticResult,
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)
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from superset.semantic_layers.models import SemanticView
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@pytest.fixture
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def semantic_view_datasource(mocker: MockerFixture) -> SemanticView:
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implementation = MagicMock()
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implementation.uid.return_value = "semantic_view_uid_123"
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implementation.get_dimensions.return_value = [
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Dimension(id="orders.category", name="category", type=pa.utf8()),
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]
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implementation.get_metrics.return_value = []
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implementation.get_values.return_value = SemanticResult(
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requests=[SemanticRequest(type="SQL", definition="values query")],
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results=pa.table({"category": pa.array(["Books", "Clothing"])}),
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)
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view = SemanticView()
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view.id = 1
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view.cache_timeout = None
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mocker.patch.object(
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SemanticView,
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"implementation",
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new_callable=lambda: property(lambda s: implementation),
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)
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mocker.patch.object(SemanticView, "raise_for_access")
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mocker.patch(
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"superset.datasource.api.DatasourceDAO.get_datasource",
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return_value=view,
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)
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return view
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def _get(client: Any, path: str) -> Any:
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return client.get(f"/api/v1/datasource/semantic_view/1/column/{path}")
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def test_semantic_view_values_endpoint_returns_values(
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client: Any,
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full_api_access: None,
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semantic_view_datasource: SemanticView,
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mocker: MockerFixture,
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) -> None:
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cache = mocker.patch("superset.datasource.api.cache_manager").data_cache
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cache.get.return_value = None
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response = _get(client, "category/values/")
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assert response.status_code == 200
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assert response.json["result"] == ["Books", "Clothing"]
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assert response.headers["X-Cache-Status"] == "MISS"
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cache.set.assert_called_once()
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cache.get.return_value = ["Books", "Clothing"]
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cached = _get(client, "category/values/")
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assert cached.status_code == 200
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assert cached.json["result"] == ["Books", "Clothing"]
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assert cached.headers["X-Cache-Status"] == "HIT"
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def test_semantic_view_values_endpoint_passes_search_to_the_provider(
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client: Any,
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full_api_access: None,
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semantic_view_datasource: SemanticView,
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mocker: MockerFixture,
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) -> None:
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mocker.patch(
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"superset.datasource.api.cache_manager"
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).data_cache.get.return_value = None
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response = _get(client, "category/values/?q=oo")
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assert response.status_code == 200
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implementation = semantic_view_datasource.implementation
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_, filters = implementation.get_values.call_args.args
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(narrowing,) = filters
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assert narrowing.value == "%oo%"
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def test_semantic_view_values_endpoint_unknown_column_is_a_400(
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client: Any,
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full_api_access: None,
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semantic_view_datasource: SemanticView,
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mocker: MockerFixture,
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) -> None:
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mocker.patch(
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"superset.datasource.api.cache_manager"
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).data_cache.get.return_value = None
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response = _get(client, "no_such_column/values/")
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assert response.status_code == 400
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assert "no_such_column" in response.json["message"]
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