| # 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 |
| |
| from hamilton import driver |
| |
| from . import functions |
| |
| |
| def lambda_handler(event, context): |
| df = pd.DataFrame(**event["body"]) |
| |
| dr = driver.Driver({}, functions) |
| |
| output_columns = [ |
| "spend", |
| "signups", |
| "avg_3wk_spend", |
| "spend_per_signup", |
| "spend_zero_mean_unit_variance", |
| ] |
| |
| df_result = dr.execute(output_columns, inputs={"input_table": df}) |
| |
| return {"statusCode": 200, "body": df_result.to_json(orient="split")} |