[英]Patching imported functions in a Pytest fixture
我在正確修補 pytest 中的導入 function 時遇到問題。 The function I want to patch is a function designed to do a large SQL fetch, so for speed I would like to replace this with reading a CSV file. 這是我目前擁有的代碼:
from data import postgres_fetch
import pytest
@pytest.fixture
def data_patch_market(monkeypatch):
test_data_path = os.path.join(os.path.dirname(__file__), 'test_data')
if os.path.exists(test_data_path):
mock_data_path = os.path.join(test_data_path, 'test_data_market.csv')
mock_data = pd.read_csv(mock_data_path)
monkeypatch.setattr(postgres_fetch, 'get_data_for_market', mock_data)
def test_mase(data_patch_market):
data = postgres_fetch.get_data_for_market(market_name=market,
market_level=market_level,
backtest_log_ids=log_ids,
connection=conn)
test_result= build_features.MASE(data)
但是,當我運行此測試時,我收到有關調用 DataFrame 的類型錯誤:
TypeError: 'DataFrame' object is not callable
我知道 csv 可以正確讀取,因為我已經單獨測試過,所以我認為我實現補丁夾具的方式有問題,但我似乎無法解決
在這里,您對mock_data
的調用正在用對monkeypatch.setattr
的調用替換對postgres_fetch.get_data_for_market
的任何調用。
這是行不通的,因為mock_data
不是 function - 它是DataFrame
object。
相反,在調用monkeypatch.setattr
時,您需要傳入返回模擬數據的function (即DataFrame
對象)。
因此,這樣的事情應該有效:
@pytest.fixture
def data_patch_market(monkeypatch):
test_data_path = os.path.join(os.path.dirname(__file__), 'test_data')
if os.path.exists(test_data_path):
mock_data_path = os.path.join(test_data_path, 'test_data_market.csv')
mock_data = pd.read_csv(mock_data_path)
# The lines below are new - here, we define a function that will return the data we have mocked
def return_mocked(*args, **kwargs):
return mock_data
monkeypatch.setattr(postgres_fetch, 'get_data_for_market', return_mocked)
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