| # Licensed to the Apache Software Foundation (ASF) under one | |
| # or more contributor license agreements. See the NOTICE file | |
| # distributed with this work for additional information | |
| # regarding copyright ownership. The ASF licenses this file | |
| # to you under the Apache License, Version 2.0 (the | |
| # "License"); you may not use this file except in compliance | |
| # with the License. You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, | |
| # software distributed under the License is distributed on an | |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| # KIND, either express or implied. See the License for the | |
| # specific language governing permissions and limitations | |
| # under the License. | |
| import pandas as pd | |
| import pyarrow | |
| import pytest | |
| from hamilton.plugins import h_pyarrow | |
| @pytest.fixture() | |
| def pandas(): | |
| return pd.DataFrame({"a": [0, 1, 2], "b": ["a", "b", "c"]}) | |
| def test_pandas_to_pyarrow(pandas): | |
| result_builder = h_pyarrow.PyarrowTableResult() | |
| data = {"df": pandas} | |
| # ResultBuilder receive unpacked dict as arg, i.e., kwargs only | |
| table = result_builder.build_result(**data) | |
| assert isinstance(table, pyarrow.Table) | |
| def test_fail_for_multiple_outputs(pandas): | |
| result_builder = h_pyarrow.PyarrowTableResult() | |
| data = {"df": pandas, "df2": pandas} | |
| with pytest.raises(AssertionError): | |
| result_builder.build_result(**data) |