| # 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 asyncio | |
| import pandas as pd | |
| from hamilton.function_modifiers import pipe_input, pipe_output, step | |
| # async def data_input() -> pd.DataFrame: | |
| # await asyncio.sleep(0.0001) | |
| # return | |
| async def _groupby_a(d: pd.DataFrame) -> pd.DataFrame: | |
| await asyncio.sleep(0.0001) | |
| return d.groupby("a").sum().reset_index() | |
| async def _groupby_b(d: pd.DataFrame) -> pd.DataFrame: | |
| await asyncio.sleep(0.0001) | |
| return d.groupby("b").sum().reset_index() | |
| @pipe_input( | |
| step(_groupby_a).when(groupby="a"), | |
| step(_groupby_b).when_not(groupby="a"), | |
| ) | |
| def data_pipe_input(data_input: pd.DataFrame) -> pd.DataFrame: | |
| return data_input | |
| @pipe_output( | |
| step(_groupby_a).when(groupby="a"), | |
| step(_groupby_b).when_not(groupby="a"), | |
| ) | |
| def data_pipe_output(data_input: pd.DataFrame) -> pd.DataFrame: | |
| return data_input |