| # |
| # 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. |
| |
| # @TODO add header with description of file |
| |
| # Testing Utilities |
| |
| import json |
| |
| import pandas as pd |
| |
| import distill |
| |
| |
| def setup(file, date_type): |
| with open(file) as json_file: |
| raw_data = json.load(json_file) |
| |
| data = {} |
| for log in raw_data: |
| data[distill.getUUID(log)] = log |
| |
| # Convert clientTime to specified type |
| for uid in data: |
| log = data[uid] |
| client_time = log["clientTime"] |
| if date_type == "integer": |
| log["clientTime"] = distill.epoch_to_datetime(client_time) |
| elif date_type == "datetime": |
| log["clientTime"] = pd.to_datetime(client_time, unit="ms", origin="unix") |
| elif date_type == "string": |
| log["clientTime"] = str(client_time) |
| |
| # Sort |
| sorted_data = sorted(data.items(), key=lambda kv: kv[1]["clientTime"]) |
| sorted_dict = dict(sorted_data) |
| |
| return (sorted_data, sorted_dict) |
| |
| |
| def to_datetime(date): |
| return pd.to_datetime(date, unit="ms", origin="unix") |