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78 lines
2.4 KiB
Python
78 lines
2.4 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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# pylint: disable=import-outside-toplevel, invalid-name, unused-argument, redefined-outer-name
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import pytest
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from marshmallow import ValidationError
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from superset.datasets.schemas import validate_python_date_format
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# pylint: disable=too-few-public-methods
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@pytest.mark.parametrize(
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"payload",
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[
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"epoch_ms",
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"epoch_s",
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"%Y-%m-%dT%H:%M:%S.%f",
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"%Y%m%d",
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],
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)
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def test_validate_python_date_format(payload) -> None:
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assert validate_python_date_format(payload)
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@pytest.mark.parametrize(
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"payload",
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[
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"%d%m%Y",
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"%Y/%m/%dT%H:%M:%S.%f",
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],
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)
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def test_validate_python_date_format_raises(payload) -> None:
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with pytest.raises(ValidationError):
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validate_python_date_format(payload)
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def test_dataset_put_schema_includes_currency_code_column() -> None:
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"""Test that DatasetPutSchema properly handles currency_code_column field."""
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from superset.datasets.schemas import DatasetPutSchema
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schema = DatasetPutSchema()
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# Dataset with currency code column
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data = {
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"currency_code_column": "currency",
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}
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result = schema.load(data)
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assert result["currency_code_column"] == "currency"
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def test_dataset_put_schema_currency_code_column_optional() -> None:
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"""Test that currency_code_column is optional in DatasetPutSchema."""
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from superset.datasets.schemas import DatasetPutSchema
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schema = DatasetPutSchema()
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# Dataset without currency code column (should not fail)
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data: dict[str, str | None] = {}
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result = schema.load(data)
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assert (
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"currency_code_column" not in result
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or result.get("currency_code_column") is None
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)
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