# 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, Generator import pandas as pd import pytest from flask_appbuilder.security.sqla.models import Role, User from werkzeug.datastructures import FileStorage from superset import db @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, delimiter=",", filename="test.csv" ) -> FileStorage: data = ( [ ["Name", "Age", "City"], ["John", "30", "New York"], ] if not data else data ) output = StringIO() writer = csv.writer(output, delimiter=delimiter) for row in data: writer.writerow(row) output.seek(0) buffer = BytesIO(output.getvalue().encode("utf-8")) return FileStorage(stream=buffer, filename=filename) def create_excel_file( data: dict[str, list[Any]] | None = None, filename="test.xls" ) -> FileStorage: data = {"Name": ["John"], "Age": [30], "City": ["New York"]} if not data else data buffer = BytesIO() df = pd.DataFrame(data) df.to_excel(buffer, index=False) buffer.seek(0) return FileStorage(stream=buffer, filename=filename) def create_columnar_file( data: dict[str, list[Any]] | None = None, filename="test.parquet" ) -> FileStorage: data = {"Name": ["John"], "Age": [30], "City": ["New York"]} if not data else data buffer = BytesIO() df = pd.DataFrame(data) df.to_parquet(buffer, index=False) buffer.seek(0) return FileStorage(stream=buffer, filename=filename) @pytest.fixture def admin_user() -> User: role = db.session.query(Role).filter_by(name="Admin").one() user = User( first_name="Alice", last_name="Admin", email="alice_admin@example.org", username="alice_admin", roles=[role], ) db.session.add(user) db.session.flush() return user @pytest.fixture def after_each() -> Generator[None, None, None]: yield db.session.rollback()