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conftest.py
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89 lines (78 loc) · 2.55 KB
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# Copyright 2019 The Feast Authors
#
# Licensed 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
#
# https://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 multiprocessing
from datetime import datetime, timedelta
from sys import platform
import pandas as pd
import pytest
def pytest_configure(config):
if platform in ["darwin", "windows"]:
multiprocessing.set_start_method("spawn")
else:
multiprocessing.set_start_method("fork")
config.addinivalue_line(
"markers", "integration: mark test that has external dependencies"
)
def pytest_addoption(parser):
parser.addoption(
"--integration",
action="store_true",
default=False,
help="Run tests with external dependencies",
)
def pytest_collection_modifyitems(config, items):
if config.getoption("--integration"):
return
skip_integration = pytest.mark.skip(
reason="not running tests with external dependencies"
)
for item in items:
if "integration" in item.keywords:
item.add_marker(skip_integration)
@pytest.fixture
def simple_dataset_1() -> pd.DataFrame:
now = datetime.utcnow()
ts = pd.Timestamp(now).round("ms")
data = {
"id": [1, 2, 1, 3, 3],
"float_col": [0.1, 0.2, 0.3, 4, 5],
"int64_col": [1, 2, 3, 4, 5],
"string_col": ["a", "b", "c", "d", "e"],
"ts_1": [
ts,
ts - timedelta(hours=4),
ts - timedelta(hours=3),
ts - timedelta(hours=2),
ts - timedelta(hours=1),
],
}
return pd.DataFrame.from_dict(data)
@pytest.fixture
def simple_dataset_2() -> pd.DataFrame:
now = datetime.utcnow()
ts = pd.Timestamp(now).round("ms")
data = {
"id": ["a", "b", "c", "d", "e"],
"float_col": [0.1, 0.2, 0.3, 4, 5],
"int64_col": [1, 2, 3, 4, 5],
"string_col": ["a", "b", "c", "d", "e"],
"ts_1": [
ts,
ts - timedelta(hours=4),
ts - timedelta(hours=3),
ts - timedelta(hours=2),
ts - timedelta(hours=1),
],
}
return pd.DataFrame.from_dict(data)