# 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. from __future__ import annotations import csv from datetime import datetime from io import BytesIO, StringIO from typing import Any import pandas as pd import pytest @pytest.fixture def dttm() -> datetime: return datetime.strptime("2019-01-02 03:04:05.678900", "%Y-%m-%d %H:%M:%S.%f") def create_csv_file(data: list[list[str]] | None = None) -> BytesIO: data = ( [ ["Name", "Age", "City"], ["John", "30", "New York"], ] if not data else data ) output = StringIO() writer = csv.writer(output) for row in data: writer.writerow(row) output.seek(0) bytes_buffer = BytesIO(output.getvalue().encode("utf-8")) return bytes_buffer def create_excel_file(data: dict[str, list[Any]] | None = None) -> BytesIO: data = {"Name": ["John"], "Age": [30], "City": ["New York"]} if not data else data excel_buffer = BytesIO() df = pd.DataFrame(data) df.to_excel(excel_buffer, index=False) excel_buffer.seek(0) return excel_buffer