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79 lines
3.1 KiB
Python
79 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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"""Unit tests for Superset"""
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from unittest import mock
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import pytest
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from marshmallow import ValidationError
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from tests.integration_tests.test_app import app
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from superset.charts.schemas import ChartDataQueryContextSchema
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from tests.integration_tests.base_tests import SupersetTestCase
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from tests.integration_tests.fixtures.birth_names_dashboard import (
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load_birth_names_dashboard_with_slices,
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)
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from tests.integration_tests.fixtures.query_context import get_query_context
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class TestSchema(SupersetTestCase):
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@mock.patch(
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"superset.common.query_context_factory.config",
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{**app.config, "ROW_LIMIT": 5000},
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)
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@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
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def test_query_context_limit_and_offset(self):
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self.login(username="admin")
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payload = get_query_context("birth_names")
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# too low limit and offset
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payload["queries"][0]["row_limit"] = -1
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payload["queries"][0]["row_offset"] = -1
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with self.assertRaises(ValidationError) as context:
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_ = ChartDataQueryContextSchema().load(payload)
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self.assertIn("row_limit", context.exception.messages["queries"][0])
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self.assertIn("row_offset", context.exception.messages["queries"][0])
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@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
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def test_query_context_null_timegrain(self):
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self.login(username="admin")
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payload = get_query_context("birth_names")
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payload["queries"][0]["extras"]["time_grain_sqla"] = None
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_ = ChartDataQueryContextSchema().load(payload)
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@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
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def test_query_context_series_limit(self):
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self.login(username="admin")
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payload = get_query_context("birth_names")
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payload["queries"][0]["timeseries_limit"] = 2
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payload["queries"][0]["timeseries_limit_metric"] = {
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"expressionType": "SIMPLE",
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"column": {
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"id": 334,
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"column_name": "gender",
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"filterable": True,
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"groupby": True,
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"is_dttm": False,
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"type": "VARCHAR(16)",
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"optionName": "_col_gender",
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},
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"aggregate": "COUNT_DISTINCT",
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"label": "COUNT_DISTINCT(gender)",
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}
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_ = ChartDataQueryContextSchema().load(payload)
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